U.S. patent application number 17/660497 was filed with the patent office on 2022-08-04 for facilitation of value-based sorting of objects.
The applicant listed for this patent is AT&T Intellectual Property I, L.P.. Invention is credited to Ari Craine, Sameena Khan, Robert Koch, Barrett Kreiner, Ryan Schaub, Brittaney Zellner.
Application Number | 20220245689 17/660497 |
Document ID | / |
Family ID | |
Filed Date | 2022-08-04 |
United States Patent
Application |
20220245689 |
Kind Code |
A1 |
Zellner; Brittaney ; et
al. |
August 4, 2022 |
FACILITATION OF VALUE-BASED SORTING OF OBJECTS
Abstract
This disclosure comprises a solution that can sort objects based
on values under various circumstances for the purpose of grouping
objects and determining recommended placement or disposition of the
objects. An object can be assigned a monetary value, a sentimental
value, and a practical value. The practical value can be entered
individually for the object via the web or virtual assistant access
to the object inventory. The practical value can also be estimated
via sensors on or proximate to the object that can sense activity
related to the object.
Inventors: |
Zellner; Brittaney; (Smyrna,
GA) ; Khan; Sameena; (Peachtree Corners, GA) ;
Schaub; Ryan; (Berkeley Lake, GA) ; Kreiner;
Barrett; (Woodstock, GA) ; Craine; Ari;
(Marietta, GA) ; Koch; Robert; (Peachtree Corners,
GA) |
|
Applicant: |
Name |
City |
State |
Country |
Type |
AT&T Intellectual Property I, L.P. |
Atlanta |
GA |
US |
|
|
Appl. No.: |
17/660497 |
Filed: |
April 25, 2022 |
Related U.S. Patent Documents
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Application
Number |
Filing Date |
Patent Number |
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16851541 |
Apr 17, 2020 |
11348147 |
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17660497 |
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International
Class: |
G06Q 30/02 20060101
G06Q030/02; H04W 4/35 20060101 H04W004/35; G06Q 30/06 20060101
G06Q030/06; H04W 4/02 20060101 H04W004/02; H04W 4/38 20060101
H04W004/38 |
Claims
1. A method, comprising: monitoring, by a network node device
comprising a processor, an object in an environment associated with
a user identity of a user; determining, by the network node device,
based on the monitoring, a monetary value of the object, a
sentimental value of the object, and a practical value of the
object; and determining, by the network node device, a
recommendation for a disposition of the object based on the
monetary value, the sentimental value, and the practical value.
2. The method of claim 1, wherein determining the recommendation
for the disposition of the object comprises selecting the
disposition from a group of dispositions comprising keeping the
object, selling the object, donating the object, and moving the
object to a trash location.
3. The method of claim 2, further comprising: in response to
selecting the disposition to be the selling of the object,
generating, by the network node device, sales data representative
of a sales listing for the object to be made available in an online
marketplace.
4. The method of the claim 1, wherein the monitoring comprises
determining a condition of the object, and the determining the
monetary value comprises determining the monetary value based on
the condition of the object.
5. The method of the claim 1, wherein the monitoring comprises
determining a first attribute of the object that corresponds to a
second attribute associated with the user identity, and the
determining of the sentimental value comprises determining the
sentimental value based on the first attribute and the second
attribute.
6. The method of the claim 1, wherein the monitoring comprises
determining an amount of utilization of the object, and the
determining of the practical value comprises determining the
practical value based on the amount of utilization of the
object.
7. The method of claim 1, further comprising sending, by the
network node device, the recommendation to a user equipment
associated with the user identity.
8. A network device, comprising: a processor; and a memory, coupled
to the processor, that stores executable instructions that, when
executed by the processor, facilitate performance of operations,
comprising: monitoring an object in an environment associated with
a user; generating, based on the monitoring, a monetary value of
the object, a sentimental value of the object, and a practical
value of the object; and generating a recommendation for a
disposition of the object based on the monetary value, the
sentimental value, and the practical value.
9. The network device of claim 8, wherein generating the
recommendation for the disposition of the object comprises
selecting the disposition from a group of dispositions comprising a
first disposition to keep the object, a second disposition to sell
the object, a third disposition to donate the object, and a fourth
disposition to trash the object.
10. The network device of claim 9, wherein the operations further
comprise, in response to selecting the second disposition to sell
the object, creating a sales listing for the object for addition to
a marketplace that sells objects of a type of the object.
11. The network device of claim 8, wherein the monitoring comprises
determining a physical condition of the object, and the estimating
the monetary value comprises estimating the monetary value based on
the physical condition of the object.
12. The network device of claim 8, wherein the monitoring comprises
determining a first attribute of the object that is associated with
a second attribute of the user, and the estimating of the
sentimental value comprises estimating the sentimental value based
on the first attribute and the second attribute.
13. The network device of claim 8, wherein the monitoring comprises
determining an amount of time of utilization of the object, and the
estimating of the practical value comprises estimating the
practical value based on the amount of time of utilization of the
object.
14. The network device of claim 8, further comprising sending the
recommendation to a mobile device associated with the user.
15. A non-transitory computer-readable medium having instructions
stored thereon that, in response to execution, cause network
equipment comprising a processor to perform operations, comprising:
monitoring, via a sensor, an object in an environment associated
with a user; estimating, based on the monitoring, a monetary value
of the object, a sentimental value of the object, and a practical
value of the object; and sending, to a user equipment associated
with the user, a recommendation for a disposition of the object
based on the monetary value, the sentimental value, and the
practical value.
16. The non-transitory computer-readable medium of claim 15,
wherein the operations further comprise selecting the disposition
from a group of dispositions comprising keep the object, sell the
object, donate the object, and place the object in a garbage
location.
17. The non-transitory computer-readable medium of claim 16,
wherein the operations further comprise, in response to selecting
the disposition of sell the object, generating a sales listing for
the object in a marketplace.
18. The non-transitory computer-readable medium of claim 15,
wherein the monitoring comprises determining an amount of
degradation from an original condition of the object, and the
estimating the monetary value comprises estimating the monetary
value based on the amount of degradation from the original
condition of the object.
19. The non-transitory computer-readable medium of claim 15,
wherein the monitoring comprises determining a first attribute of
the object that is correlated with a second attribute of the user,
and the estimating of the sentimental value comprises estimating
the sentimental value based on the first attribute and the second
attribute.
20. The non-transitory computer-readable medium of claim 15,
wherein the monitoring comprises determining a frequency of
utilization of the object, and the estimating of the practical
value comprises estimating the practical value based on the
frequency of utilization of the object.
Description
CROSS REFERENCE TO RELATED APPLICATION
[0001] This application is a continuation of, and claims priority
to, pending U.S. patent application Ser. No. 16/851,541, filed on
Apr. 17, 2020, entitled "FACILITATION OF VALUE-BASED SORTING OF
OBJECTS", and now issued as U.S. Pat. No. ______. The entirety of
the aforementioned application is hereby incorporated herein by
reference.
TECHNICAL FIELD
[0002] This disclosure relates generally to facilitating sorting of
objects. For example, this disclosure relates to facilitating
value-based sorting of personal objects.
BACKGROUND
[0003] An online marketplace (or online e-commerce marketplace) is
a type of e-commerce site where product or service information is
provided by multiple third parties, whereas transactions are
processed by the marketplace operator. Online marketplaces are the
primary type of multichannel ecommerce and can be a way to
streamline the production process. In an online marketplace,
consumer transactions are processed by the marketplace operator and
then delivered and fulfilled by the participating retailers or
wholesalers (often called drop shipping). Other capabilities might
include auctioning (forward or reverse), catalogs, ordering, wanted
advertisement, or trading exchange functionality and capabilities.
These type of sites allow users to register and sell single items
to many items for a "post-selling" fee. In general, because
marketplaces aggregate products from a wide array of providers,
selection is usually more wide, and availability is higher than in
vendor-specific online retail stores.
[0004] The above-described background relating to facilitation of
value-based sorting of objects is merely intended to provide a
contextual overview of some current issues, and is not intended to
be exhaustive. Other contextual information may become further
apparent upon review of the following detailed description.
BRIEF DESCRIPTION OF THE DRAWINGS
[0005] Non-limiting and non-exhaustive embodiments of the subject
disclosure are described with reference to the following figures,
wherein like reference numerals refer to like parts throughout the
various views unless otherwise specified.
[0006] FIG. 1 illustrates an example wireless communication system
in which a network node device (e.g., network node) and user
equipment (UE) can implement various aspects and embodiments of the
subject disclosure.
[0007] FIG. 2 illustrates an example schematic system block diagram
of a system for value-based sorting of objects according to one or
more embodiments.
[0008] FIG. 3 illustrates an example schematic system block diagram
of a mobile device screen for value-based sorting of objects
according to one or more embodiments.
[0009] FIG. 4 illustrates an example schematic system block diagram
of a mobile device screen for value-based sorting of objects
according to one or more embodiments.
[0010] FIG. 5 illustrates an example schematic system block diagram
of a mobile device screen for value-based sorting of objects
according to one or more embodiments.
[0011] FIG. 6 illustrates an example flow diagram for a method for
facilitation of value-based sorting of objects according to one or
more embodiments.
[0012] FIG. 7 illustrates an example flow diagram for a system for
facilitation of value-based sorting of objects according to one or
more embodiments.
[0013] FIG. 8 illustrates an example flow diagram for a
machine-readable medium for facilitation of value-based sorting of
objects according to one or more embodiments.
[0014] FIG. 9 illustrates an example block diagram of an example
mobile handset operable to engage in a system architecture that
facilitates secure wireless communication according to one or more
embodiments described herein.
[0015] FIG. 10 illustrates an example block diagram of an example
computer operable to engage in a system architecture that
facilitates secure wireless communication according to one or more
embodiments described herein.
DETAILED DESCRIPTION
[0016] In the following description, numerous specific details are
set forth to provide a thorough understanding of various
embodiments. One skilled in the relevant art will recognize,
however, that the techniques described herein can be practiced
without one or more of the specific details, or with other methods,
components, materials, etc. In other instances, well-known
structures, materials, or operations are not shown or described in
detail to avoid obscuring certain aspects.
[0017] Reference throughout this specification to "one embodiment,"
or "an embodiment," means that a particular feature, structure, or
characteristic described in connection with the embodiment is
included in at least one embodiment. Thus, the appearances of the
phrase "in one embodiment," "in one aspect," or "in an embodiment,"
in various places throughout this specification are not necessarily
all referring to the same embodiment. Furthermore, the particular
features, structures, or characteristics may be combined in any
suitable manner in one or more embodiments.
[0018] As utilized herein, terms "component," "system,"
"interface," and the like are intended to refer to a
computer-related entity, hardware, software (e.g., in execution),
and/or firmware. For example, a component can be a processor, a
process running on a processor, an object, an executable, a
program, a storage device, and/or a computer. By way of
illustration, an application running on a server and the server can
be a component. One or more components can reside within a process,
and a component can be localized on one computer and/or distributed
between two or more computers.
[0019] Further, these components can execute from various
machine-readable media having various data structures stored
thereon. The components can communicate via local and/or remote
processes such as in accordance with a signal having one or more
data packets (e.g., data from one component interacting with
another component in a local system, distributed system, and/or
across a network, e.g., the Internet, a local area network, a wide
area network, etc. with other systems via the signal).
[0020] As another example, a component can be an apparatus with
specific functionality provided by mechanical parts operated by
electric or electronic circuitry; the electric or electronic
circuitry can be operated by a software application or a firmware
application executed by one or more processors; the one or more
processors can be internal or external to the apparatus and can
execute at least a part of the software or firmware application. As
yet another example, a component can be an apparatus that provides
specific functionality through electronic components without
mechanical parts; the electronic components can include one or more
processors therein to execute software and/or firmware that
confer(s), at least in part, the functionality of the electronic
components. In an aspect, a component can emulate an electronic
component via a virtual machine, e.g., within a cloud computing
system.
[0021] The words "exemplary" and/or "demonstrative" are used herein
to mean serving as an example, instance, or illustration. For the
avoidance of doubt, the subject matter disclosed herein is not
limited by such examples. In addition, any aspect or design
described herein as "exemplary" and/or "demonstrative" is not
necessarily to be construed as preferred or advantageous over other
aspects or designs, nor is it meant to preclude equivalent
exemplary structures and techniques known to those of ordinary
skill in the art. Furthermore, to the extent that the terms
"includes," "has," "contains," and other similar words are used in
either the detailed description or the claims, such terms are
intended to be inclusive--in a manner similar to the term
"comprising" as an open transition word--without precluding any
additional or other elements.
[0022] As used herein, the term "infer" or "inference" refers
generally to the process of reasoning about, or inferring states
of, the system, environment, user, and/or intent from a set of
observations as captured via events and/or data. Captured data and
events can include user data, device data, environment data, data
from sensors, sensor data, application data, implicit data,
explicit data, etc. Inference can be employed to identify a
specific context or action, or can generate a probability
distribution over states of interest based on a consideration of
data and events, for example.
[0023] Inference can also refer to techniques employed for
composing higher-level events from a set of events and/or data.
Such inference results in the construction of new events or actions
from a set of observed events and/or stored event data, whether the
events are correlated in close temporal proximity, and whether the
events and data come from one or several event and data sources.
Various classification schemes and/or systems (e.g., support vector
machines, neural networks, expert systems, Bayesian belief
networks, fuzzy logic, and data fusion engines) can be employed in
connection with performing automatic and/or inferred action in
connection with the disclosed subject matter.
[0024] In addition, the disclosed subject matter can be implemented
as a method, apparatus, or article of manufacture using standard
programming and/or engineering techniques to produce software,
firmware, hardware, or any combination thereof to control a
computer to implement the disclosed subject matter. The term
"article of manufacture" as used herein is intended to encompass a
computer program accessible from any computer-readable device,
machine-readable device, computer-readable carrier,
computer-readable media, or machine-readable media. For example,
computer-readable media can include, but are not limited to, a
magnetic storage device, e.g., hard disk; floppy disk; magnetic
strip(s); an optical disk (e.g., compact disk (CD), a digital video
disc (DVD), a Blu-ray Disc.TM. (BD)); a smart card; a flash memory
device (e.g., card, stick, key drive); and/or a virtual device that
emulates a storage device and/or any of the above computer-readable
media.
[0025] As an overview, various embodiments are described herein to
facilitate value-based sorting of objects. For simplicity of
explanation, the methods (or algorithms) are depicted and described
as a series of acts. It is to be understood and appreciated that
the various embodiments are not limited by the acts illustrated
and/or by the order of acts. For example, acts can occur in various
orders and/or concurrently, and with other acts not presented or
described herein. Furthermore, not all illustrated acts may be
required to implement the methods. In addition, the methods could
alternatively be represented as a series of interrelated states via
a state diagram or events. Additionally, the methods described
hereafter are capable of being stored on an article of manufacture
(e.g., a machine-readable storage medium) to facilitate
transporting and transferring such methodologies to computers. The
term article of manufacture, as used herein, is intended to
encompass a computer program accessible from any computer-readable
device, carrier, or media, including a non-transitory
machine-readable storage medium.
[0026] It should be noted that although various aspects and
embodiments have been described herein in the context of 5G,
Universal Mobile Telecommunications System (UMTS), and/or Long Term
Evolution (LTE), or other next generation networks, the disclosed
aspects are not limited to 5G, a UMTS implementation, and/or an LTE
implementation as the techniques can also be applied in 3G, 4G or
LTE systems. For example, aspects or features of the disclosed
embodiments can be exploited in substantially any wireless
communication technology. Such wireless communication technologies
can include UMTS, Code Division Multiple Access (CDMA), Wi-Fi,
Worldwide Interoperability for Microwave Access (WiMAX), General
Packet Radio Service (GPRS), Enhanced GPRS, Third Generation
Partnership Project (3GPP), LTE, Third Generation Partnership
Project 2 (3GPP2) Ultra Mobile Broadband (UMB), High Speed Packet
Access (HSPA), Evolved High Speed Packet Access (HSPA+), High-Speed
Downlink Packet Access (HSDPA), High-Speed Uplink Packet Access
(HSUPA), Zigbee, or another IEEE 802.12 technology. Additionally,
substantially all aspects disclosed herein can be exploited in
legacy telecommunication technologies.
[0027] Described herein are systems, methods, articles of
manufacture, and other embodiments or implementations that can
facilitate value-based sorting of objects. Facilitating value-based
sorting of objects can be implemented in connection with any type
of device with a connection to the communications network (e.g., a
mobile handset, a computer, a handheld device, etc.) any Internet
of things (TOT) device (e.g., toaster, coffee maker, blinds, music
players, speakers, etc.), and/or any connected vehicles (cars,
airplanes, space rockets, and/or other at least partially automated
vehicles (e.g., drones)). In some embodiments the non-limiting term
user equipment (UE) is used. It can refer to any type of wireless
device that communicates with a radio network node in a cellular or
mobile communication system. Examples of UE are target device,
device to device (D2D) UE, machine type UE or UE capable of machine
to machine (M2M) communication, PDA, Tablet, mobile terminals,
smart phone, laptop embedded equipped (LEE), laptop mounted
equipment (LME), USB dongles etc. Note that the terms element,
elements and antenna ports can be interchangeably used but carry
the same meaning in this disclosure. The embodiments are applicable
to single carrier as well as to multicarrier (MC) or carrier
aggregation (CA) operation of the UE. The term carrier aggregation
(CA) is also called (e.g. interchangeably called) "multi-carrier
system", "multi-cell operation", "multi-carrier operation",
"multi-carrier" transmission and/or reception.
[0028] In some embodiments the non-limiting term radio network node
or simply network node is used. It can refer to any type of network
node that serves UE is connected to other network nodes or network
elements or any radio node from where UE receives a signal.
Examples of radio network nodes are Node B, base station (BS),
multi-standard radio (MSR) node such as MSR BS, eNode B, network
controller, radio network controller (RNC), base station controller
(BSC), relay, donor node controlling relay, base transceiver
station (BTS), access point (AP), transmission points, transmission
nodes, RRU, RRH, nodes in distributed antenna system (DAS) etc.
[0029] Cloud radio access networks (RAN) can enable the
implementation of concepts such as software-defined network (SDN)
and network function virtualization (NFV) in 5G networks. Certain
embodiments of this disclosure can comprise an SDN controller that
can control routing of traffic within the network and between the
network and traffic destinations. The SDN controller can be merged
with the 5G network architecture to enable service deliveries via
open application programming interfaces ("APIs") and move the
network core towards an all internet protocol ("IP"), cloud based,
and software driven telecommunications network. The SDN controller
can work with, or take the place of policy and charging rules
function ("PCRF") network elements so that policies such as quality
of service and traffic management and routing can be synchronized
and managed end to end.
[0030] This disclosure comprises a solution that describes a means
for sorting objects (e.g., physical objects, items, etc.) based on
values under various circumstances for the purpose of grouping
objects and determining recommended placement or disposition of
objects. Using these techniques, an object can be assigned a
monetary value and a sentimental value. There can also be assigned
a practical value to an object. The practical value can be entered
individually for the object via the web or virtual assistant access
to the object inventory. The practical value can also be estimated
via sensors on or proximate to the object that can sense activity
related to the object. For instance, the object can have a motion
sensor, a pressure sensor, or can maintain its own record of its
usage, for instance if it contains electronic components.
[0031] For example, artwork can sense motion nearby and use that
data as a record of how often it is in view, as a proxy for
practical value. One or more sensors can sense how often a chair is
moved or sat upon and likewise use that data as a proxy for
practical value. A coffee maker can maintain a record of how much
it is used over time. Any number of algorithms can be used to set
the practical values, for instance into high, medium, or low
categories.
[0032] The object inventory can store a monetary, sentimental, and
practical value for a number of objects. These objects can, for
instance represent the contents of a dwelling. It can be useful for
the collection of objects to be sorted into disposition categories
that represent recommended dispositions for each object. This can
be useful when the owner of the objects is making decisions on
whether to keep, sell, donate, or trash some or all of the
collection of objects. For example, the owner of the objects may
wish to do a "spring cleaning" to sort items to keep, sell, donate,
or trash. A number of algorithms can be used to determine how to
map values to disposition categories. For example, Aunt Rose's
chair can have a high sentimental value, which can override the
monetary and practical values and sort it into the "keep" category.
A Banksy print can have low sentimental and practical values, but a
medium monetary value, indicating a category of "sell". The coffee
maker's high practical value and low monetary value can be an
indication to sort it into the "keep" category.
[0033] The owner may wish to have a report of the collection, or a
subset of the collection of objects. This can be helpful for the
"spring cleaning" project. In this case, the valuation and sorting
server can generate this report based on the sorting category that
it calculates for the objects using their monetary, sentimental,
and practical values. The owner can be presented with the report,
for instance, via the web access interface, and confirm the list of
objects in each category or make any overriding changes. Once the
final list is confirmed, for the objects in the "sell" category,
the valuation and sorting server can use the data for the object in
the object inventory and an API to the online marketplace to
generate listings of the objects for sale. Similarly, a report
containing a list of items recommended for donation can be
generated by the valuation and sorting server. This list can be
used to confirm what is donated and be useful for tax credits.
Items that are sold or donated can be removed from the object
inventory.
[0034] The owner can be moving their dwelling. In this case, they
can first sort into the "keep", "sell", "donate", or "trash"
categories. Afterwards, they can again request the valuation and
sorting server to make moving recommendations. The valuation and
sorting server can access a database containing a floorplan of the
new dwelling, including spatial dimensions. The valuation and
sorting server also has access to the location history of the
objects from the object inventory (including what room the object
existed in in the old dwelling). The owner can specify a default
mapping of old house room to new house room. For instance, old
dining room objects should try to fit in the new dining room. Old
foyer objects should try to fit in the new den. The valuation and
sorting server can make estimates as to whether the objects will
fit in the new rooms. This can be based on the spatial dimensions
of the objects (from the object inventory data) and the spatial
dimension of the new rooms. For instance, the results can determine
that the dining room furniture cannot fit in the new dining room
with sufficient space. Note that this analysis can also be used
before the owner buys the new house to assess whether their
furniture will fit.
[0035] If an object will not fit in the new house, the report can
recommend a resolution. For instance, if the coffee maker's
dimensions are too tall to fit under the cabinets in the new
kitchen, the valuation and sorting server can access the online
marketplace using the dimension of the new house to find a
recommended new coffee maker that would fit. The owner can be
prompted via the web access to the report as to whether they want
to sell or donate the old coffee maker and whether they want to
purchase the recommended new coffee maker. If the owner wishes to
purchase, the valuation and sorting server can execute the purchase
via the online marketplace API.
[0036] The valuation and sorting server can act proactively on
behalf of the owner. For instance, it can periodically access the
contents of the object inventory for the owner and use the object
IDs to search one or more online marketplaces. The online
marketplace(s) can return data to the valuation and sorting server
that indicates how in demand the object is in the marketplace. This
can be determined using data such as number of searches for the
object, number of views of the object, and number of sales of the
object. The returned data can also indicate an average selling
price for the object in its condition (as indicated in the object
inventory data). This resulting insight into the marketplace demand
for the object can enable the owner to make a more informed
decision about the disposition of an object. For example, if Aunt
Rose's chair is recommended to be kept due to its high sentimental
value, if similar chairs are found to be selling for $10,000 in the
marketplace, the owner may wish to reconsider.
[0037] The valuation and sorting server can proactively alert the
owner of objects that can have monetary value but have low
practical and/or sentimental value. For instance, the Banksy print
can have been stored in a dark closet for the past 3 years (as
determined by light and location sensors). Such objects that have
not seen the light of day for an extended period of time can be
prime candidates to check for their value as a potential hidden
treasure. The valuation and sorting server can periodically search
for a monetary value via the online marketplace and alert the owner
if anything of a predetermined threshold value or higher is found.
Similarly, the owner can be reminded of such via an alert of
objects with high sentimental value that have had low practical
value (e.g., as determined via low motion sensor activity or low
light sensor levels). The owner can also use the object inventory
data to proactively search for sentimental objects, for instance,
in response to an event. For example, if Aunt Rose passes away, the
owner can search for all objects that show Aunt Rose as a prior
owner in the object inventory data.
[0038] It should also be noted that an artificial intelligence (AI)
component can facilitate automating one or more features in
accordance with the disclosed aspects. A memory and a processor as
well as other components can include functionality with regard to
the figures. The disclosed aspects in connection with value-based
sorting of objects can employ various AI-based schemes for carrying
out various aspects thereof. For example, a process for detecting
one or more trigger events, reducing a value of an object as a
result of the one or more trigger events, and modifying one or more
reported measurements, and so forth, can be facilitated with an
example automatic classifier system and process. In another
example, a process for penalizing one valuation while preferring
another valuation can be facilitated with the example automatic
classifier system and process.
[0039] An example classifier can be a function that maps an input
attribute vector, x=(x1, x2, x3, x4, xn), to a confidence that the
input belongs to a class, that is, f(x)=confidence(class). Such
classification can employ a probabilistic and/or statistical-based
analysis (e.g., factoring into the analysis utilities and costs) to
prognose or infer an action that can be automatically
performed.
[0040] A support vector machine (SVM) is an example of a classifier
that can be employed. The SVM can operate by finding a hypersurface
in the space of possible inputs, which the hypersurface attempts to
split the triggering criteria from the non-triggering events.
Intuitively, this makes the classification correct for testing data
that is near, but not identical to training data. Other directed
and undirected model classification approaches include, for
example, naive Bayes, Bayesian networks, decision trees, neural
networks, fuzzy logic models, and probabilistic classification
models providing different patterns of independence can be
employed. Classification as used herein also may be inclusive of
statistical regression that is utilized to develop models of
priority.
[0041] The disclosed aspects can employ classifiers that are
explicitly trained (e.g., via a generic training data) as well as
implicitly trained (e.g., via observing mobile device usage as it
relates to triggering events, observing network
frequency/technology, receiving extrinsic information, and so on).
For example, SVMs can be configured via a learning or training
phase within a classifier constructor and feature selection module.
Thus, the classifier(s) can be used to automatically learn and
perform a number of functions, including but not limited to
modifying a value to be output, modifying one or more reported
values, and so forth. The criteria can include, but is not limited
to, predefined values, frequency attenuation tables or other
parameters, service provider preferences and/or policies, and so
on.
[0042] In one embodiment, described herein is a method comprising
receiving, by a server device comprising a processor, a first
signal from a wireless network, the first signal representative of
first object identification data of an identification of an object
in a set of objects. The method can comprise receiving, by the
server device, a second signal from a wireless network, the second
signal representative of utilization data associated with a
utilization of the object. In response to receiving the second
signal, the method can comprise generating, by the server device,
practical value data representative of a practical value associated
with the object. Based on the practical value data, the method can
comprise selecting, by the server device, the first object
identification data from second object identification data
representative of the set of objects. Additionally, in response to
the selecting, the method can comprise sending, by the server
device via a wireless network, a third signal representative of the
practical value data to a mobile device based on a result of the
selecting.
[0043] According to another embodiment, a system can facilitate
receiving first object identification data representative of an
identification of an object of a group of objects. The system can
comprise receiving utilization data representative of a utilization
of the object. Based on the utilization data, the system can
comprise generating, according to a valuation process, value data
representative of a value associated with the object. Additionally,
based on the value data, the system can comprise categorizing the
first object identification data with second object identification
data representative of the group of objects, resulting in a defined
category. Furthermore, in response to the categorizing, the system
can comprise sending defined category data representative of the
defined category to a mobile device.
[0044] According to yet another embodiment, described herein is a
machine-readable medium that can perform the operations comprising
receiving first object identification data representative of an
identification of an object of a group of objects. The
machine-readable medium can perform the operations comprising
receiving utilization data representative of a utilization of the
object. The machine-readable medium can perform the operations
comprising receiving dimension data representative of a physical
dimension of the object. Based on the utilization data, the
machine-readable medium can perform the operations comprising
generating value data representative of a value associated with the
object. Based on the value data and the dimension data, the
machine-readable medium can perform the operations comprising
labeling the first object identification data, resulting in labeled
data representative of the object. Furthermore, in response to the
labeling, the machine-readable medium can perform the operations
comprising, sending labeled data to a mobile device.
[0045] These and other embodiments or implementations are described
in more detail below with reference to the drawings.
[0046] Referring now to FIG. 1, illustrated is an example wireless
communication system 100 in accordance with various aspects and
embodiments of the subject disclosure. In one or more embodiments,
system 100 can comprise one or more user equipment UEs 102. The
non-limiting term user equipment can refer to any type of device
that can communicate with a network node in a cellular or mobile
communication system. A UE can have one or more antenna panels
having vertical and horizontal elements. Examples of a UE comprise
a target device, device to device (D2D) UE, machine type UE or UE
capable of machine to machine (M2M) communications, personal
digital assistant (PDA), tablet, mobile terminals, smart phone,
laptop mounted equipment (LME), universal serial bus (USB) dongles
enabled for mobile communications, a computer having mobile
capabilities, a mobile device such as cellular phone, a laptop
having laptop embedded equipment (LEE, such as a mobile broadband
adapter), a tablet computer having a mobile broadband adapter, a
wearable device, a virtual reality (VR) device, a heads-up display
(HUD) device, a smart car, a machine-type communication (MTC)
device, and the like. User equipment UE 102 can also comprise IOT
devices that communicate wirelessly.
[0047] In various embodiments, system 100 is or comprises a
wireless communication network serviced by one or more wireless
communication network providers. In example embodiments, a UE 102
can be communicatively coupled to the wireless communication
network via a network node 104. The network node (e.g., network
node device) can communicate with user equipment (UE), thus
providing connectivity between the UE and the wider cellular
network. The UE 102 can send transmission type recommendation data
to the network node 104. The transmission type recommendation data
can comprise a recommendation to transmit data via a closed loop
MIMO mode and/or a rank-1 precoder mode.
[0048] A network node can have a cabinet and other protected
enclosures, an antenna mast, and multiple antennas for performing
various transmission operations (e.g., MIMO operations). Network
nodes can serve several cells, also called sectors, depending on
the configuration and type of antenna. In example embodiments, the
UE 102 can send and/or receive communication data via a wireless
link to the network node 104. The dashed arrow lines from the
network node 104 to the UE 102 represent downlink (DL)
communications and the solid arrow lines from the UE 102 to the
network nodes 104 represents an uplink (UL) communication.
[0049] System 100 can further include one or more communication
service provider networks 106 that facilitate providing wireless
communication services to various UEs, including UE 102, via the
network node 104 and/or various additional network devices (not
shown) included in the one or more communication service provider
networks 106. The one or more communication service provider
networks 106 can include various types of disparate networks,
including but not limited to: cellular networks, femto networks,
picocell networks, microcell networks, internet protocol (IP)
networks Wi-Fi service networks, broadband service network,
enterprise networks, cloud based networks, and the like. For
example, in at least one implementation, system 100 can be or
include a large scale wireless communication network that spans
various geographic areas. According to this implementation, the one
or more communication service provider networks 106 can be or
include the wireless communication network and/or various
additional devices and components of the wireless communication
network (e.g., additional network devices and cell, additional UEs,
network server devices, etc.). The network node 104 can be
connected to the one or more communication service provider
networks 106 via one or more backhaul links 108. For example, the
one or more backhaul links 108 can comprise wired link components,
such as a T1/E1 phone line, a digital subscriber line (DSL) (e.g.,
either synchronous or asynchronous), an asymmetric DSL (ADSL), an
optical fiber backbone, a coaxial cable, and the like. The one or
more backhaul links 108 can also include wireless link components,
such as but not limited to, line-of-sight (LOS) or non-LOS links
which can include terrestrial air-interfaces or deep space links
(e.g., satellite communication links for navigation).
[0050] Wireless communication system 100 can employ various
cellular systems, technologies, and modulation modes to facilitate
wireless radio communications between devices (e.g., the UE 102 and
the network node 104). While example embodiments might be described
for 5G new radio (NR) systems, the embodiments can be applicable to
any radio access technology (RAT) or multi-RAT system where the UE
operates using multiple carriers e.g. LTE FDD/TDD, GSM/GERAN,
CDMA2000 etc.
[0051] For example, system 100 can operate in accordance with
global system for mobile communications (GSM), universal mobile
telecommunications service (UMTS), long term evolution (LTE), LTE
frequency division duplexing (LTE FDD, LTE time division duplexing
(TDD), high speed packet access (HSPA), code division multiple
access (CDMA), wideband CDMA (WCMDA), CDMA2000, time division
multiple access (TDMA), frequency division multiple access (FDMA),
multi-carrier code division multiple access (MC-CDMA),
single-carrier code division multiple access (SC-CDMA),
single-carrier FDMA (SC-FDMA), orthogonal frequency division
multiplexing (OFDM), discrete Fourier transform spread OFDM
(DFT-spread OFDM) single carrier FDMA (SC-FDMA), Filter bank based
multi-carrier (FBMC), zero tail DFT-spread-OFDM (ZT DFT-s-OFDM),
generalized frequency division multiplexing (GFDM), fixed mobile
convergence (FMC), universal fixed mobile convergence (UFMC),
unique word OFDM (UW-OFDM), unique word DFT-spread OFDM (UW
DFT-Spread-OFDM), cyclic prefix OFDM CP-OFDM,
resource-block-filtered OFDM, Wi Fi, WLAN, WiMax, and the like.
However, various features and functionalities of system 100 are
particularly described wherein the devices (e.g., the UEs 102 and
the network device 104) of system 100 are configured to communicate
wireless signals using one or more multi carrier modulation
schemes, wherein data symbols can be transmitted simultaneously
over multiple frequency subcarriers (e.g., OFDM, CP-OFDM,
DFT-spread OFMD, UFMC, FMBC, etc.). The embodiments are applicable
to single carrier as well as to multicarrier (MC) or carrier
aggregation (CA) operation of the UE. The term carrier aggregation
(CA) is also called (e.g. interchangeably called) "multi-carrier
system", "multi-cell operation", "multi-carrier operation",
"multi-carrier" transmission and/or reception. Note that some
embodiments are also applicable for Multi RAB (radio bearers) on
some carriers (that is data plus speech is simultaneously
scheduled).
[0052] In various embodiments, system 100 can be configured to
provide and employ 5G wireless networking features and
functionalities. 5G wireless communication networks are expected to
fulfill the demand of exponentially increasing data traffic and to
allow people and machines to enjoy gigabit data rates with
virtually zero latency. Compared to 4G, 5G supports more diverse
traffic scenarios. For example, in addition to the various types of
data communication between conventional UEs (e.g., phones,
smartphones, tablets, PCs, televisions, Internet enabled
televisions, etc.) supported by 4G networks, 5G networks can be
employed to support data communication between smart cars in
association with driverless car environments, as well as machine
type communications (MTCs). Considering the drastic different
communication needs of these different traffic scenarios, the
ability to dynamically configure waveform parameters based on
traffic scenarios while retaining the benefits of multi carrier
modulation schemes (e.g., OFDM and related schemes) can provide a
significant contribution to the high speed/capacity and low latency
demands of 5G networks. With waveforms that split the bandwidth
into several sub-bands, different types of services can be
accommodated in different sub-bands with the most suitable waveform
and numerology, leading to an improved spectrum utilization for 5G
networks.
[0053] To meet the demand for data centric applications, features
of proposed 5G networks may comprise: increased peak bit rate
(e.g., 20 Gbps), larger data volume per unit area (e.g., high
system spectral efficiency--for example about 3.5 times that of
spectral efficiency of long term evolution (LTE) systems), high
capacity that allows more device connectivity both concurrently and
instantaneously, lower battery/power consumption (which reduces
energy and consumption costs), better connectivity regardless of
the geographic region in which a user is located, a larger numbers
of devices, lower infrastructural development costs, and higher
reliability of the communications. Thus, 5G networks may allow for:
data rates of several tens of megabits per second should be
supported for tens of thousands of users, 1 gigabit per second to
be offered simultaneously to tens of workers on the same office
floor, for example; several hundreds of thousands of simultaneous
connections to be supported for massive sensor deployments;
improved coverage, enhanced signaling efficiency; reduced latency
compared to LTE.
[0054] The upcoming 5G access network may utilize higher
frequencies (e.g., >6 GHz) to aid in increasing capacity.
Currently, much of the millimeter wave (mmWave) spectrum, the band
of spectrum between 30 gigahertz (Ghz) and 300 Ghz is
underutilized. The millimeter waves have shorter wavelengths that
range from 10 millimeters to 1 millimeter, and these mmWave signals
experience severe path loss, penetration loss, and fading. However,
the shorter wavelength at mmWave frequencies also allows more
antennas to be packed in the same physical dimension, which allows
for large-scale spatial multiplexing and highly directional
beamforming.
[0055] Performance can be improved if both the transmitter and the
receiver are equipped with multiple antennas. Multi-antenna
techniques can significantly increase the data rates and
reliability of a wireless communication system. The use of multiple
input multiple output (MIMO) techniques, which was introduced in
the third-generation partnership project (3GPP) and has been in use
(including with LTE), is a multi-antenna technique that can improve
the spectral efficiency of transmissions, thereby significantly
boosting the overall data carrying capacity of wireless systems.
The use of multiple-input multiple-output (MIMO) techniques can
improve mmWave communications, and has been widely recognized a
potentially important component for access networks operating in
higher frequencies. MIMO can be used for achieving diversity gain,
spatial multiplexing gain and beamforming gain. For these reasons,
MIMO systems are an important part of the 3rd and 4th generation
wireless systems, and are planned for use in 5G systems.
[0056] Referring now to FIG. 2, illustrated is an example schematic
system block diagram of a system for value-based sorting of objects
according to one or more embodiments.
[0057] A monetary value can be assigned to object 202A, 202B, 202C
in the object inventory repository 210. This value can also be
stored in the object inventory. The monetary value can be
calculated by the valuation and sorting server 208. The monetary
value can be calculated by using the purchase price and purchase
date and applying an appreciation or depreciation factor.
Alternatively, a separate reference valuation can be used, such as
an online marketplace 402 that is selling the item, and comparing
new/used conditions of objects 202A, 202B, 202C with the online
marketplace 404. For instance, the valuation and sorting server 208
can use the object ID and condition to query the online marketplace
404 to search for other similar items in similar condition. More
than one marketplace can be queried by the UE 102 or the valuation
and sorting server 208. The prices from the resulting matches can
be averaged and this result can be used to calculate and record a
monetary value for the object, which can then be stored in the
object inventory repository 210.
[0058] A sentimental value can also be calculated by the valuation
and sorting server 208 and stored in the object inventory
repository 210. Data in the object inventory can be used to
calculate a valuation level to serve as a proxy for a sentimental
value. Data such as location, when obtained, parties present when
obtained, prior owners, location history, and "light of day"
history can contribute to the calculation of a sentimental value.
For instance, the chair can be obtained by an owner at a location
that can be mapped to an address, which can be assigned a high
sentimental value (e.g., a beloved aunt's house). The date the
object was obtained can be compared (by the valuation and sorting
server 208) against the owner's calendar, which can be accessible
by the valuation and sorting server 208 and can be determined to be
within a window of time around a significant event on the calendar.
Therefore, the chair can be assigned a high sentimental value.
Similarly, a sentimental value can also be calculated by the
valuation and sorting server 208 and stored in the object inventory
repository 210 using other data.
[0059] Referring now to FIG. 3, illustrated is an example schematic
system block diagram of a mobile device screen for value-based
sorting of objects according to one or more embodiments.
[0060] The owner of objects 202A, 202B, 202C may wish to have a
report of the collection, or a subset of the collection of objects.
Thus, the owner can send a report inquiry via the UE 102 to the
cloud-based network 206 to receive report data from the valuation
and sorting server 208. In this case, the valuation and sorting
server 208 can generate this report based on the sorting category
that it calculates for the objects using their monetary,
sentimental, and/or practical values. The owner can be presented
with the report via a display screen of the UE 102. The owner can
confirm the list of objects in each category or make any overriding
changes via the UE 102. Once the final list is confirmed, for the
objects in the "sell" category, the valuation and sorting server
can use the data for the object in the object inventory repository
210 and an API to the online marketplace 402 to generate listings
of the objects for sale. Similarly, a report containing a list of
items recommended for donation can be generated by the valuation
and sorting server 208. This list can be used to confirm what is
donated and can be useful for tax credits. Items that are sold or
donated can be removed from the object inventory repository
210.
[0061] Referring now to FIG. 4, illustrated is an example schematic
system block diagram of a mobile device screen for value-based
sorting of objects according to one or more embodiments.
[0062] As depicted via display screen of UE 102 in FIG. 4, the
valuation and sorting server 208 can provide move recommendations.
The owner can be moving their dwelling. In this case, they can
first sort into the "keep", "sell", "donate", or "trash"
categories. Afterwards, they can again request the valuation and
sorting server 208 to make moving recommendations. The valuation
and sorting server 208 can access a database (not shown) containing
a floorplan of the new dwelling, including spatial dimensions. The
valuation and sorting server 208 also have access to the location
history of the objects 202A, 202B, 202C from the object inventory
repository 210 (including what room the object existed in in the
old dwelling). In response to the owner can specifying a default
mapping of old house room to new house room the valuation and
sorting server 208 can make estimates as to whether the objects
202A, 202B, 202C will fit in the new rooms. This can be based on
the spatial dimensions of the objects (from the object inventory
data) and the spatial dimension of the new rooms. Based on the
analysis performed by the valuation and sorting server 208, the
owner can be presented with moving recommendations as depicted in
FIG. 4 via the display screen of UE 102. Thus, the valuation and
sorting server 208 can access the online marketplace 402 using the
dimension of the new house. Furthermore, the owner can be prompted,
via the UE 102, as to whether they want to sell or donate the any
objects 202A, 202B, 202C and/or whether they want to purchase a
recommended object. If the owner wishes to purchase, the valuation
and sorting server 208 can execute the purchase via the online
marketplace 402 application program interface (API).
[0063] Referring now to FIG. 5 illustrates an example schematic
system block diagram of a mobile device screen for value-based
sorting of objects according to one or more embodiments.
[0064] The valuation and sorting server 208 can act proactively on
behalf of the owner. For instance, it can periodically access the
contents of the object inventory repository 210 for the owner and
use the object IDs to search one or more online marketplaces 402.
The online marketplace(s) 402 can return data to the valuation and
sorting server 208 that indicates how in demand the object is in
the marketplace. The returned data can also indicate an average
selling price for the object in its condition, and a demand for the
object can enable the owner to make a more informed decision about
the disposition of an object.
[0065] The valuation and sorting server 208 can also proactively
alert the owner of objects that can have monetary value but have
low practical and/or sentimental value. For instance, the Banksy
print can have been stored in a dark closet for the past 3 years
(as determined by light and location sensors). The valuation and
sorting server 208 can periodically search for a monetary value via
the online marketplace 402 and alert the owner if anything of a
predetermined threshold value or higher is found. Similarly, the
owner can be reminded objects with high sentimental value that have
had low practical value (e.g., as determined via low motion sensor
activity or low light sensor levels) via the display screen of the
UE 102.
[0066] Referring now to FIG. 6, illustrated is an example flow
diagram for a method for facilitation of value-based sorting of
objects according to one or more embodiments. At element 600, the
method can comprise receiving, by a server device comprising a
processor, a first signal from a wireless network, the first signal
representative of first object identification data of an
identification of an object in a set of objects. At element 602,
the method can comprise receiving, by the server device, a second
signal from a wireless network, the second signal representative of
utilization data associated with a utilization of the object. In
response to receiving the second signal, at element 604, the method
can comprise generating, by the server device, practical value data
representative of a practical value associated with the object.
Based on the practical value data, at element 606, the method can
comprise selecting, by the server device, the first object
identification data from second object identification data
representative of the set of objects. Additionally, in response to
the selecting, at element 608, the method can comprise sending, by
the server device via a wireless network, a third signal
representative of the practical value data to a mobile device based
on a result of the selecting.
[0067] Referring now to FIG. 7, illustrated is an example flow
diagram for a system for facilitation of value-based sorting of
objects according to one or more embodiments. At element 700, the
system can facilitate receiving first object identification data
representative of an identification of an object of a group of
objects. At element 702, the system can comprise receiving
utilization data representative of a utilization of the object.
Based on the utilization data, at element 704, the system can
comprise generating, according to a valuation process, value data
representative of a value associated with the object. Additionally,
based on the value data, at element 706, the system can comprise
categorizing the first object identification data with second
object identification data representative of the group of objects,
resulting in a defined category. Furthermore, in response to the
categorizing, at element 708, the system can comprise sending
defined category data representative of the defined category to a
mobile device.
[0068] Referring now to FIG. 8, illustrated is an example flow
diagram for a machine-readable medium for facilitation of
value-based sorting of objects according to one or more
embodiments. At element 800, the machine-readable medium can
perform the operations comprising receiving first object
identification data representative of an identification of an
object of a group of objects. At element 802, the machine-readable
medium can perform the operations comprising receiving utilization
data representative of a utilization of the object. At element 804,
the machine-readable medium can perform the operations comprising
receiving dimension data representative of a physical dimension of
the object. Based on the utilization data, at element 806, the
machine-readable medium can perform the operations comprising
generating value data representative of a value associated with the
object. Based on the value data and the dimension data, at element
808, the machine-readable medium can perform the operations
comprising labeling the first object identification data, resulting
in labeled data representative of the object. Furthermore, in
response to the labeling, at element 810, the machine-readable
medium can perform the operations comprising, sending labeled data
to a mobile device.
[0069] Referring now to FIG. 9, illustrated is a schematic block
diagram of an exemplary end-user device such as a mobile device
capable of connecting to a network in accordance with some
embodiments described herein. Although a mobile handset 900 is
illustrated herein, it will be understood that other devices can be
a mobile device, and that the mobile handset 900 is merely
illustrated to provide context for the embodiments of the various
embodiments described herein. The following discussion is intended
to provide a brief, general description of an example of a suitable
environment 900 in which the various embodiments can be
implemented. While the description includes a general context of
computer-executable instructions embodied on a machine-readable
storage medium, those skilled in the art will recognize that the
innovation also can be implemented in combination with other
program modules and/or as a combination of hardware and
software.
[0070] Generally, applications (e.g., program modules) can include
routines, programs, components, data structures, etc., that perform
particular tasks or implement particular abstract data types.
Moreover, those skilled in the art will appreciate that the methods
described herein can be practiced with other system configurations,
including single-processor or multiprocessor systems,
minicomputers, mainframe computers, as well as personal computers,
hand-held computing devices, microprocessor-based or programmable
consumer electronics, and the like, each of which can be
operatively coupled to one or more associated devices.
[0071] A computing device can typically include a variety of
machine-readable media. Machine-readable media can be any available
media that can be accessed by the computer and includes both
volatile and non-volatile media, removable and non-removable media.
By way of example and not limitation, computer-readable media can
comprise computer storage media and communication media. Computer
storage media can include volatile and/or non-volatile media,
removable and/or non-removable media implemented in any method or
technology for storage of information, such as computer-readable
instructions, data structures, program modules or other data.
Computer storage media can include, but is not limited to, RAM,
ROM, EEPROM, flash memory or other memory technology, CD ROM,
digital video disk (DVD) or other optical disk storage, magnetic
cassettes, magnetic tape, magnetic disk storage or other magnetic
storage devices, or any other medium which can be used to store the
desired information and which can be accessed by the computer.
[0072] Communication media typically embodies computer-readable
instructions, data structures, program modules or other data in a
modulated data signal such as a carrier wave or other transport
mechanism, and includes any information delivery media. The term
"modulated data signal" means a signal that has one or more of its
characteristics set or changed in such a manner as to encode
information in the signal. By way of example, and not limitation,
communication media includes wired media such as a wired network or
direct-wired connection, and wireless media such as acoustic, RF,
infrared and other wireless media. Combinations of the any of the
above should also be included within the scope of computer-readable
media.
[0073] The handset 900 includes a processor 902 for controlling and
processing all onboard operations and functions. A memory 904
interfaces to the processor 902 for storage of data and one or more
applications 906 (e.g., a video player software, user feedback
component software, etc.). Other applications can include voice
recognition of predetermined voice commands that facilitate
initiation of the user feedback signals. The applications 906 can
be stored in the memory 904 and/or in a firmware 908, and executed
by the processor 902 from either or both the memory 904 or/and the
firmware 908. The firmware 908 can also store startup code for
execution in initializing the handset 900. A communications
component 910 interfaces to the processor 902 to facilitate
wired/wireless communication with external systems, e.g., cellular
networks, VoIP networks, and so on. Here, the communications
component 910 can also include a suitable cellular transceiver 911
(e.g., a GSM transceiver) and/or an unlicensed transceiver 913
(e.g., Wi-Fi, WiMax) for corresponding signal communications. The
handset 900 can be a device such as a cellular telephone, a PDA
with mobile communications capabilities, and messaging-centric
devices. The communications component 910 also facilitates
communications reception from terrestrial radio networks (e.g.,
broadcast), digital satellite radio networks, and Internet-based
radio services networks.
[0074] The handset 900 includes a display 912 for displaying text,
images, video, telephony functions (e.g., a Caller ID function),
setup functions, and for user input. For example, the display 912
can also be referred to as a "screen" that can accommodate the
presentation of multimedia content (e.g., music metadata, messages,
wallpaper, graphics, etc.). The display 912 can also display videos
and can facilitate the generation, editing and sharing of video
quotes. A serial I/O interface 914 is provided in communication
with the processor 902 to facilitate wired and/or wireless serial
communications (e.g., USB, and/or IEEE 1394) through a hardwire
connection, and other serial input devices (e.g., a keyboard,
keypad, and mouse). This supports updating and troubleshooting the
handset 900, for example. Audio capabilities are provided with an
audio I/O component 916, which can include a speaker for the output
of audio signals related to, for example, indication that the user
pressed the proper key or key combination to initiate the user
feedback signal. The audio I/O component 916 also facilitates the
input of audio signals through a microphone to record data and/or
telephony voice data, and for inputting voice signals for telephone
conversations. It should be noted that the microphone can be a
digital or a non-digital microphone. For example, if the microphone
is digital, it can produce audio data, however, the microphone can
be non-digital and produce an audio signal that can be digitized by
an analog-to-digital converter to produce the outputs for
facilitation of the scenarios outlined in this disclosure.
[0075] The handset 900 can include a slot interface 918 for
accommodating a SIC (Subscriber Identity Component) in the form
factor of a card Subscriber Identity Module (SIM) or universal SIM
920, and interfacing the SIM card 920 with the processor 902.
However, it is to be appreciated that the SIM card 920 can be
manufactured into the handset 900, and updated by downloading data
and software.
[0076] The handset 900 can process IP data traffic through the
communication component 910 to accommodate IP traffic from an IP
network such as, for example, the Internet, a corporate intranet, a
home network, a person area network, etc., through an ISP or
broadband cable provider. Thus, VoIP traffic can be utilized by the
handset 900 and IP-based multimedia content can be received in
either an encoded or decoded format.
[0077] A video processing component 922 (e.g., a camera) can be
provided for decoding encoded multimedia content. The video
processing component 922 can aid in facilitating the generation,
editing and sharing of video quotes. The handset 900 also includes
a power source 924 in the form of batteries and/or an AC power
subsystem, which power source 924 can interface to an external
power system or charging equipment (not shown) by a power I/O
component 926.
[0078] The handset 900 can also include a video component 930 for
processing video content received and, for recording and
transmitting video content. For example, the video component 930
can facilitate the generation, editing and sharing of video quotes.
A location tracking component 932 facilitates geographically
locating the handset 900. As described hereinabove, this can occur
when the user initiates the feedback signal automatically or
manually. A user input component 934 facilitates the user
initiating the quality feedback signal. The user input component
934 can also facilitate the generation, editing and sharing of
video quotes. The user input component 934 can include such
conventional input device technologies such as a keypad, keyboard,
mouse, stylus pen, and/or touch screen, for example.
[0079] Referring again to the applications 906, a hysteresis
component 936 facilitates the analysis and processing of hysteresis
data, which is utilized to determine when to associate with the
access point. A software trigger component 938 can be provided that
facilitates triggering of the hysteresis component 938 when the
Wi-Fi transceiver 913 detects the beacon of the access point. A SIP
client 940 enables the handset 900 to support SIP protocols and
register the subscriber with the SIP registrar server. The
applications 906 can also include a client 942 that provides at
least the capability of discovery, play and store of multimedia
content, for example, music.
[0080] The handset 900, as indicated above related to the
communications component 910, includes an indoor network radio
transceiver 913 (e.g., Wi-Fi transceiver). This function supports
the indoor radio link, such as IEEE 802.11, for the dual-mode GSM
handset 900. The handset 900 can accommodate at least satellite
radio services through a handset that can combine wireless voice
and digital radio chipsets into a single handheld device.
[0081] In order to provide additional context for various
embodiments described herein, FIG. 10 and the following discussion
are intended to provide a brief, general description of a suitable
computing environment 1000 in which the various embodiments of the
embodiment described herein can be implemented. While the
embodiments have been described above in the general context of
computer-executable instructions that can run on one or more
computers, those skilled in the art will recognize that the
embodiments can be also implemented in combination with other
program modules and/or as a combination of hardware and
software.
[0082] Generally, program modules include routines, programs,
components, data structures, etc., that perform particular tasks or
implement particular abstract data types. Moreover, those skilled
in the art will appreciate that the disclosed methods can be
practiced with other computer system configurations, including
single-processor or multiprocessor computer systems, minicomputers,
mainframe computers, Internet of Things (IoT) devices, distributed
computing systems, as well as personal computers, hand-held
computing devices, microprocessor-based or programmable consumer
electronics, and the like, each of which can be operatively coupled
to one or more associated devices.
[0083] The illustrated embodiments of the embodiments herein can be
also practiced in distributed computing environments where certain
tasks are performed by remote processing devices that are linked
through a communications network. In a distributed computing
environment, program modules can be located in both local and
remote memory storage devices.
[0084] Computing devices typically include a variety of media,
which can include computer-readable storage media, machine-readable
storage media, and/or communications media, which two terms are
used herein differently from one another as follows.
Computer-readable storage media or machine-readable storage media
can be any available storage media that can be accessed by the
computer and includes both volatile and nonvolatile media,
removable and non-removable media. By way of example, and not
limitation, computer-readable storage media or machine-readable
storage media can be implemented in connection with any method or
technology for storage of information such as computer-readable or
machine-readable instructions, program modules, structured data or
unstructured data.
[0085] Computer-readable storage media can include, but are not
limited to, random access memory (RAM), read only memory (ROM),
electrically erasable programmable read only memory (EEPROM), flash
memory or other memory technology, compact disk read only memory
(CD-ROM), digital versatile disk (DVD), Blu-ray disc (BD) or other
optical disk storage, magnetic cassettes, magnetic tape, magnetic
disk storage or other magnetic storage devices, solid state drives
or other solid state storage devices, or other tangible and/or
non-transitory media which can be used to store desired
information. In this regard, the terms "tangible" or
"non-transitory" herein as applied to storage, memory or
computer-readable media, are to be understood to exclude only
propagating transitory signals per se as modifiers and do not
relinquish rights to all standard storage, memory or
computer-readable media that are not only propagating transitory
signals per se.
[0086] Computer-readable storage media can be accessed by one or
more local or remote computing devices, e.g., via access requests,
queries or other data retrieval protocols, for a variety of
operations with respect to the information stored by the
medium.
[0087] Communications media typically embody computer-readable
instructions, data structures, program modules or other structured
or unstructured data in a data signal such as a modulated data
signal, e.g., a carrier wave or other transport mechanism, and
includes any information delivery or transport media. The term
"modulated data signal" or signals refers to a signal that has one
or more of its characteristics set or changed in such a manner as
to encode information in one or more signals. By way of example,
and not limitation, communication media include wired media, such
as a wired network or direct-wired connection, and wireless media
such as acoustic, RF, infrared and other wireless media.
[0088] With reference again to FIG. 10, the example environment
1000 for implementing various embodiments of the aspects described
herein includes a computer 1002, the computer 1002 including a
processing unit 1004, a system memory 1006 and a system bus 1008.
The system bus 1008 couples system components including, but not
limited to, the system memory 1006 to the processing unit 1004. The
processing unit 1004 can be any of various commercially available
processors. Dual microprocessors and other multi-processor
architectures can also be employed as the processing unit 1004.
[0089] The system bus 1008 can be any of several types of bus
structure that can further interconnect to a memory bus (with or
without a memory controller), a peripheral bus, and a local bus
using any of a variety of commercially available bus architectures.
The system memory 1006 includes ROM 1010 and RAM 1012. A basic
input/output system (BIOS) can be stored in a non-volatile memory
such as ROM, erasable programmable read only memory (EPROM),
EEPROM, which BIOS contains the basic routines that help to
transfer information between elements within the computer 1002,
such as during startup. The RAM 1012 can also include a high-speed
RAM such as static RAM for caching data.
[0090] The computer 1002 further includes an internal hard disk
drive (HDD) 1014 (e.g., EIDE, SATA), one or more external storage
devices 1016 (e.g., a magnetic floppy disk drive (FDD) 1016, a
memory stick or flash drive reader, a memory card reader, etc.) and
an optical disk drive 1020 (e.g., which can read or write from a
CD-ROM disc, a DVD, a BD, etc.). While the internal HDD 1014 is
illustrated as located within the computer 1002, the internal HDD
1014 can also be configured for external use in a suitable chassis
(not shown). Additionally, while not shown in environment 1000, a
solid state drive (SSD) could be used in addition to, or in place
of, an HDD 1014. The HDD 1014, external storage device(s) 1016 and
optical disk drive 1020 can be connected to the system bus 1008 by
an HDD interface 1024, an external storage interface 1026 and an
optical drive interface 1028, respectively. The interface 1024 for
external drive implementations can include at least one or both of
Universal Serial Bus (USB) and Institute of Electrical and
Electronics Engineers (IEEE) 1394 interface technologies. Other
external drive connection technologies are within contemplation of
the embodiments described herein.
[0091] The drives and their associated computer-readable storage
media provide nonvolatile storage of data, data structures,
computer-executable instructions, and so forth. For the computer
1002, the drives and storage media accommodate the storage of any
data in a suitable digital format. Although the description of
computer-readable storage media above refers to respective types of
storage devices, it should be appreciated by those skilled in the
art that other types of storage media which are readable by a
computer, whether presently existing or developed in the future,
could also be used in the example operating environment, and
further, that any such storage media can contain
computer-executable instructions for performing the methods
described herein.
[0092] A number of program modules can be stored in the drives and
RAM 1012, including an operating system 1030, one or more
application programs 1032, other program modules 1034 and program
data 1036. All or portions of the operating system, applications,
modules, and/or data can also be cached in the RAM 1012. The
systems and methods described herein can be implemented utilizing
various commercially available operating systems or combinations of
operating systems.
[0093] Computer 1002 can optionally comprise emulation
technologies. For example, a hypervisor (not shown) or other
intermediary can emulate a hardware environment for operating
system 1030, and the emulated hardware can optionally be different
from the hardware illustrated in FIG. 10. In such an embodiment,
operating system 1030 can comprise one virtual machine (VM) of
multiple VMs hosted at computer 1002. Furthermore, operating system
1030 can provide runtime environments, such as the Java runtime
environment or the .NET framework, for applications 1032. Runtime
environments are consistent execution environments that allow
applications 1032 to run on any operating system that includes the
runtime environment. Similarly, operating system 1030 can support
containers, and applications 1032 can be in the form of containers,
which are lightweight, standalone, executable packages of software
that include, e.g., code, runtime, system tools, system libraries
and settings for an application.
[0094] Further, computer 1002 can be enable with a security module,
such as a trusted processing module (TPM). For instance with a TPM,
boot components hash next in time boot components, and wait for a
match of results to secured values, before loading a next boot
component. This process can take place at any layer in the code
execution stack of computer 1002, e.g., applied at the application
execution level or at the operating system (OS) kernel level,
thereby enabling security at any level of code execution.
[0095] A user can enter commands and information into the computer
1002 through one or more wired/wireless input devices, e.g., a
keyboard 1038, a touch screen 1040, and a pointing device, such as
a mouse 1042. Other input devices (not shown) can include a
microphone, an infrared (IR) remote control, a radio frequency (RF)
remote control, or other remote control, a joystick, a virtual
reality controller and/or virtual reality headset, a game pad, a
stylus pen, an image input device, e.g., camera(s), a gesture
sensor input device, a vision movement sensor input device, an
emotion or facial detection device, a biometric input device, e.g.,
fingerprint or iris scanner, or the like. These and other input
devices are often connected to the processing unit 1004 through an
input device interface 1044 that can be coupled to the system bus
1008, but can be connected by other interfaces, such as a parallel
port, an IEEE 1394 serial port, a game port, a USB port, an IR
interface, a BLUETOOTH.RTM. interface, etc.
[0096] A monitor 1046 or other type of display device can be also
connected to the system bus 1008 via an interface, such as a video
adapter 1048. In addition to the monitor 1046, a computer typically
includes other peripheral output devices (not shown), such as
speakers, printers, etc.
[0097] The computer 1002 can operate in a networked environment
using logical connections via wired and/or wireless communications
to one or more remote computers, such as a remote computer(s) 1050.
The remote computer(s) 1050 can be a workstation, a server
computer, a router, a personal computer, portable computer,
microprocessor-based entertainment appliance, a peer device or
other common network node, and typically includes many or all of
the elements described relative to the computer 1002, although, for
purposes of brevity, only a memory/storage device 1052 is
illustrated. The logical connections depicted include
wired/wireless connectivity to a local area network (LAN) 1054
and/or larger networks, e.g., a wide area network (WAN) 1056. Such
LAN and WAN networking environments are commonplace in offices and
companies, and facilitate enterprise-wide computer networks, such
as intranets, all of which can connect to a global communications
network, e.g., the Internet.
[0098] When used in a LAN networking environment, the computer 1002
can be connected to the local network 1054 through a wired and/or
wireless communication network interface or adapter 1058. The
adapter 1058 can facilitate wired or wireless communication to the
LAN 1054, which can also include a wireless access point (AP)
disposed thereon for communicating with the adapter 1058 in a
wireless mode.
[0099] When used in a WAN networking environment, the computer 1002
can include a modem 1060 or can be connected to a communications
server on the WAN 1056 via other means for establishing
communications over the WAN 1056, such as by way of the Internet.
The modem 1060, which can be internal or external and a wired or
wireless device, can be connected to the system bus 1008 via the
input device interface 1044. In a networked environment, program
modules depicted relative to the computer 1002 or portions thereof,
can be stored in the remote memory/storage device 1052. It will be
appreciated that the network connections shown are example and
other means of establishing a communications link between the
computers can be used.
[0100] When used in either a LAN or WAN networking environment, the
computer 1002 can access cloud storage systems or other
network-based storage systems in addition to, or in place of,
external storage devices 1016 as described above. Generally, a
connection between the computer 1002 and a cloud storage system can
be established over a LAN 1054 or WAN 1056 e.g., by the adapter
1058 or modem 1060, respectively. Upon connecting the computer 1002
to an associated cloud storage system, the external storage
interface 1026 can, with the aid of the adapter 1058 and/or modem
1060, manage storage provided by the cloud storage system as it
would other types of external storage. For instance, the external
storage interface 1026 can be configured to provide access to cloud
storage sources as if those sources were physically connected to
the computer 1002.
[0101] The computer 1002 can be operable to communicate with any
wireless devices or entities operatively disposed in wireless
communication, e.g., a printer, scanner, desktop and/or portable
computer, portable data assistant, communications satellite, any
piece of equipment or location associated with a wirelessly
detectable tag (e.g., a kiosk, news stand, store shelf, etc.), and
telephone. This can include Wireless Fidelity (Wi-Fi) and
BLUETOOTH.RTM. wireless technologies. Thus, the communication can
be a predefined structure as with a conventional network or simply
an ad hoc communication between at least two devices.
[0102] The computer is operable to communicate with any wireless
devices or entities operatively disposed in wireless communication,
e.g., a printer, scanner, desktop and/or portable computer,
portable data assistant, communications satellite, any piece of
equipment or location associated with a wirelessly detectable tag
(e.g., a kiosk, news stand, restroom), and telephone. This includes
at least Wi-Fi and Bluetooth.TM. wireless technologies. Thus, the
communication can be a predefined structure as with a conventional
network or simply an ad hoc communication between at least two
devices.
[0103] Wi-Fi, or Wireless Fidelity, allows connection to the
Internet from a couch at home, a bed in a hotel room, or a
conference room at work, without wires. Wi-Fi is a wireless
technology similar to that used in a cell phone that enables such
devices, e.g., computers, to send and receive data indoors and out;
anywhere within the range of a base station. Wi-Fi networks use
radio technologies called IEEE 802.11 (a, b, g, etc.) to provide
secure, reliable, fast wireless connectivity. A Wi-Fi network can
be used to connect computers to each other, to the Internet, and to
wired networks (which use IEEE 802.3 or Ethernet). Wi-Fi networks
operate in the unlicensed 2.4 and 5 GHz radio bands, at an 11 Mbps
(802.11a) or 54 Mbps (802.11b) data rate, for example, or with
products that contain both bands (dual band), so the networks can
provide real-world performance similar to the basic 10BaseT wired
Ethernet networks used in many offices.
[0104] The above description of illustrated embodiments of the
subject disclosure, including what is described in the Abstract, is
not intended to be exhaustive or to limit the disclosed embodiments
to the precise forms disclosed. While specific embodiments and
examples are described herein for illustrative purposes, various
modifications are possible that are considered within the scope of
such embodiments and examples, as those skilled in the relevant art
can recognize.
[0105] In this regard, while the subject matter has been described
herein in connection with various embodiments and corresponding
FIGs, where applicable, it is to be understood that other similar
embodiments can be used or modifications and additions can be made
to the described embodiments for performing the same, similar,
alternative, or substitute function of the disclosed subject matter
without deviating therefrom. Therefore, the disclosed subject
matter should not be limited to any single embodiment described
herein, but rather should be construed in breadth and scope in
accordance with the appended claims below.
* * * * *