U.S. patent application number 15/587505 was filed with the patent office on 2018-11-08 for sensor based monitoring.
The applicant listed for this patent is INTERNATIONAL BUSINESS MACHINES CORPORATION. Invention is credited to Munish Goyal, Kimberly Greene Starks, Sarbajit K. Rakshit.
Application Number | 20180322253 15/587505 |
Document ID | / |
Family ID | 64014777 |
Filed Date | 2018-11-08 |
United States Patent
Application |
20180322253 |
Kind Code |
A1 |
Goyal; Munish ; et
al. |
November 8, 2018 |
Sensor Based Monitoring
Abstract
A system for improving mobile sensor based monitoring is
provided. The system enables a process for continuously receiving
in real time via sensors integrated within a wearable device of a
user, vital sign data and movement based data associated with the
user. Additionally, environmental data is continuously received via
sensors located within a geographical area of the user. The vital
sign data, movement based data, environmental data, and medical
data are analyzed and current and future mental and physical
conditions for the user are predicted. Recommended actions
associated with modifying the current and future mental and
physical conditions for the user are generated and presented.
Current physical conditions for the user are monitored to determine
if the recommended actions have been executed.
Inventors: |
Goyal; Munish; (Yorktown
Heights, NY) ; Greene Starks; Kimberly; (Nashville,
TN) ; Rakshit; Sarbajit K.; (Kolkata, IN) |
|
Applicant: |
Name |
City |
State |
Country |
Type |
INTERNATIONAL BUSINESS MACHINES CORPORATION |
ARMONK |
NY |
US |
|
|
Family ID: |
64014777 |
Appl. No.: |
15/587505 |
Filed: |
May 5, 2017 |
Current U.S.
Class: |
1/1 |
Current CPC
Class: |
G06F 19/3418 20130101;
G16H 50/30 20180101; G06F 19/00 20130101; F24F 11/80 20180101; G05B
2219/2614 20130101; F24F 11/30 20180101; G16H 40/63 20180101; G16H
50/20 20180101; F24F 2120/10 20180101; G16H 40/67 20180101 |
International
Class: |
G06F 19/00 20060101
G06F019/00; F24F 11/00 20060101 F24F011/00 |
Claims
1-14. (canceled)
15. A computer program product, comprising a computer readable
hardware storage device storing a computer readable program code,
said computer readable program code comprising an algorithm that
when executed by a processor of a controller device implements a
mobile sensor based monitoring improvement method, said method
comprising: continuously receiving in real time, by said processor
via a plurality of sensors integrated within a wearable device of a
user, vital sign data and movement based data associated with said
user; continuously receiving, by said processor via a plurality of
sensors located within a geographical area comprising a current
location of said user, environmental data associated with current
environmental conditions of said current location of said user;
receiving, by said processor from a plurality of remotely located
systems, medical data associated with said user; analyzing, by said
processor, said vital sign data, said movement based data, said
environmental data, and said medical data; predicting, by said
processor based on results of said analyzing, current and future
mental and physical conditions for said user; generating, by said
processor, recommended actions associated with modifying said
current and future mental and physical conditions for said user;
presenting, by said processor to an authoritative user via a
graphical user interface of a hardware device of said authoritative
user, said recommended actions; monitoring, by said processor via
said plurality of sensors integrated within said wearable device,
current physical conditions for said user to determine if said
recommended actions have been executed; and transmitting, by said
processor to external systems, results of said monitoring.
16. The computer program product of claim 15, wherein said method
further comprises: generating, by said processor, hardware based
actions associated with modifying said current and future mental
and physical conditions for said user; and executing, by said
processor, said hardware based actions resulting in a modification
of hardware enabled systems associated with said current
environmental conditions.
17. The computer program product of claim 16, wherein said
executing said hardware based actions comprises automatically
modifying HVAC systems associated with said current location of
said user thereby modifying said current environmental
conditions.
18. The computer program product of claim 16, wherein said
executing said hardware based actions comprises automatically
modifying medical devices associated with said user thereby
modifying biomedical attributes of said user.
19. The computer program product of claim 16, wherein said method
further comprises: tracking, by said processor via said plurality
of sensors integrated within said wearable device and said
plurality of sensors located within said geographical area, said
hardware based actions to determine said modification of said
hardware enabled systems; and transmitting, by said processor to
said external systems, results of said tracking.
20. A controller device comprising a processor coupled to a
computer-readable memory unit, said memory unit comprising
instructions that when executed by the computer processor
implements a mobile sensor based monitoring improvement method
comprising: continuously receiving in real time, by said processor
via a plurality of sensors integrated within a wearable device of a
user, vital sign data and movement based data associated with said
user; continuously receiving, by said processor via a plurality of
sensors located within a geographical area comprising a current
location of said user, environmental data associated with current
environmental conditions of said current location of said user;
receiving, by said processor from a plurality of remotely located
systems, medical data associated with said user; analyzing, by said
processor, said vital sign data, said movement based data, said
environmental data, and said medical data; predicting, by said
processor based on results of said analyzing, current and future
mental and physical conditions for said user; generating, by said
processor, recommended actions associated with modifying said
current and future mental and physical conditions for said user;
presenting, by said processor to an authoritative user via a
graphical user interface of a hardware device of said authoritative
user, said recommended actions; monitoring, by said processor via
said plurality of sensors integrated within said wearable device,
current physical conditions for said user to determine if said
recommended actions have been executed; and transmitting, by said
processor to external systems, results of said monitoring.
Description
FIELD
[0001] The present invention relates generally to a method for
monitoring conditions of a user and in particular to a method and
associated system for improving software feedback based monitoring
technology associated with enabling sensors for monitoring user
conditions and executing associated actions for automatically
modifying hardware and software systems associated with modifying
the user conditions.
BACKGROUND
[0002] Accurately determining user issues typically includes an
inaccurate process with little flexibility. Controlling devices
associated with correcting the user issues may include a
complicated process that may be time consuming and require a large
amount of resources. Accordingly, there exists a need in the art to
overcome at least some of the deficiencies and limitations
described herein above.
SUMMARY
[0003] A first aspect of the invention provides a mobile sensor
based monitoring improvement method comprising: continuously
receiving in real time, by a processor of a controller hardware
device via a plurality of sensors integrated within a wearable
device of a user, vital sign data and movement based data
associated with the user; continuously receiving, by the processor
via a plurality of sensors located within a geographical area
comprising a current location of the user, environmental data
associated with current environmental conditions of the current
location of the user; receiving, by the processor from a plurality
of remotely located systems, medical data associated with the user;
analyzing, by the processor, the vital sign data, the movement
based data, the environmental data, and the medical data;
predicting, by the processor based on results of the analyzing,
current and future mental and physical conditions for the user;
generating, by the processor, recommended actions associated with
modifying the current and future mental and physical conditions for
the user; presenting, by the processor to an authoritative user via
a graphical user interface of a hardware device of the
authoritative user, the recommended actions; monitoring, by the
processor via the plurality of sensors integrated within the
wearable device, current physical conditions for the user to
determine if the recommended actions have been executed; and
transmitting, by the processor to external systems, results of the
monitoring.
[0004] A second aspect of the invention provides. A computer
program product, comprising a computer readable hardware storage
device storing a computer readable program code, the computer
readable program code comprising an algorithm that when executed by
a processor of a controller device implements a mobile sensor based
monitoring improvement method, the method comprising: continuously
receiving in real time, by the processor via a plurality of sensors
integrated within a wearable device of a user, vital sign data and
movement based data associated with the user; continuously
receiving, by the processor via a plurality of sensors located
within a geographical area comprising a current location of the
user, environmental data associated with current environmental
conditions of the current location of the user; receiving, by the
processor from a plurality of remotely located systems, medical
data associated with the user; analyzing, by the processor, the
vital sign data, the movement based data, the environmental data,
and the medical data; predicting, by the processor based on results
of the analyzing, current and future mental and physical conditions
for the user; generating, by the processor, recommended actions
associated with modifying the current and future mental and
physical conditions for the user; presenting, by the processor to
an authoritative user via a graphical user interface of a hardware
device of the authoritative user, the recommended actions;
monitoring, by the processor via the plurality of sensors
integrated within the wearable device, current physical conditions
for the user to determine if the recommended actions have been
executed; and transmitting, by the processor to external systems,
results of the monitoring.
[0005] A third aspect of the invention provides a controller device
comprising a processor coupled to a computer-readable memory unit,
the memory unit comprising instructions that when executed by the
computer processor implements a mobile sensor based monitoring
improvement method comprising: continuously receiving in real time,
by the processor via a plurality of sensors integrated within a
wearable device of a user, vital sign data and movement based data
associated with the user; continuously receiving, by the processor
via a plurality of sensors located within a geographical area
comprising a current location of the user, environmental data
associated with current environmental conditions of the current
location of the user; receiving, by the processor from a plurality
of remotely located systems, medical data associated with the user;
analyzing, by the processor, the vital sign data, the movement
based data, the environmental data, and the medical data;
predicting, by the processor based on results of the analyzing,
current and future mental and physical conditions for the user;
generating, by the processor, recommended actions associated with
modifying the current and future mental and physical conditions for
the user; presenting, by the processor to an authoritative user via
a graphical user interface of a hardware device of the
authoritative user, the recommended actions; monitoring, by the
processor via the plurality of sensors integrated within the
wearable device, current physical conditions for the user to
determine if the recommended actions have been executed; and
transmitting, by the processor to external systems, results of the
monitoring.
[0006] The present invention advantageously provides a simple
method and associated system capable of accurately determining user
issues.
BRIEF DESCRIPTION OF THE DRAWINGS
[0007] FIG. 1 illustrates a system for improving software feedback
based monitoring technology associated with enabling sensors for
monitoring user conditions and executing associated actions for
automatically modifying hardware and software systems, in
accordance with embodiments of the present invention.
[0008] FIG. 2 illustrates an algorithm detailing a process flow
enabled by the system of FIG. 1 for improving software feedback
based monitoring technology associated with enabling sensors for
monitoring user conditions and executing associated actions for
automatically modifying hardware and software systems, in
accordance with embodiments of the present invention.
[0009] FIG. 3 illustrates a computer system used by the system of
FIG. 1 for improving software feedback based monitoring technology
associated with enabling sensors for monitoring user conditions and
executing associated actions for automatically modifying hardware
and software systems, in accordance with embodiments of the present
invention.
[0010] FIG. 4 illustrates a cloud computing environment, in
accordance with embodiments of the present invention.
[0011] FIG. 5 illustrates a set of functional abstraction layers
provided by cloud computing environment, in accordance with
embodiments of the present invention.
DETAILED DESCRIPTION
[0012] FIG. 1 illustrates a system 100 for improving software
feedback based monitoring technology associated with enabling
sensors for monitoring user conditions and executing associated
actions for automatically modifying hardware and software systems,
in accordance with embodiments of the present invention. System 100
enables a process for promoting mental and physical growth of a
user (e.g., an child) via execution of cognitive hardware and
software (e.g., controller 104 and wearable device 120) such as,
inter alia, Watson software, artificial intelligence
hardware/software, etc. The cognitive hardware and software
developed and trained with respect to a large corpus of medical and
child rearing data. The aforementioned process includes: (A)
continuously receiving (via the cognitive hardware and software)
health related data of a user (e.g., vital signs, movement
information, etc.) from a sensors of a wearable device attached to
the user; (B) predicting current and future mental and physical
statuses for the user based on current and historical health data
analyzed via the hardware and software; (C) recommending actions
for execution with respect to the user (e.g., applying touch,
rolling the user over, allowing the user to sleep, etc.); (D)
providing the action recommendations to an associated user (e.g., a
parent of the user) via a device or software such as a mobile
device application (e.g., a health application); and (E) tracking
to determine if the recommended actions have been executed.
Additionally, impacts of the recommended actions are determined.
The device or software may be enabled to allow the associated user
to set goals (e.g., gain weight, sleep less, etc.) and track goal
progress for the user. The selected goals may be enabled to affect
the recommended actions.
[0013] System 100 of FIG. 1 includes a controller 104 (i.e.,
specialized hardware device(s)), a wearable device 120, sensors
110a . . . 110n, controllers/devices 112a . . . 112n, and a
database system 120 interconnected through a network 117a, 117b,
and 117c. Controller 104 includes specialized circuitry 125 that
may include specialized software. Wearable device 120, sensors 110a
. . . 110n, and controllers/devices 112a . . . 112n may be located
within a specified geographical location/structure 127 (e.g., a
building, a room, etc.). Additionally, controller 104 may be
located internal or external to geographical location/structure
127. Wearable device 120 comprises internal or integrated sensors
115. Wearable device 104 may comprise any type of wearable device
(or a close proximity device) or computer including, inter alia, a
smart watch, an activity tracker, jewelry, smart phone, etc.
Sensors 115 may include any type of internal or external biomedical
sensors including, inter alia, a heart rate monitor, a blood
pressure monitor, a thermometer, a pulse rate monitor, an
ultrasonic sensor, etc. Sensors 110a . . . 110n may include any
type of sensors including, inter alia, temperature sensors,
humidity sensors, optical sensors, etc. Controllers/devices 112a .
. . 112n may comprise devices for automatically modifying
conditions of specified geographical location/structure 127. For
example, controllers/devices 112a . . . 112n may comprise automated
HVAC systems and automated controllers for modifying a temperature
or humidity level of specified geographical location/structure 127.
Alternatively, controllers/devices 112a . . . 112n may comprise
automated medical devices and associated automated controllers for
automatically modifying biomedical attributes of the user.
Controller 104, wearable device 120, controllers/devices 112a . . .
112n, and database system 120 may include specialized testing
circuitry/logic. Controller 104, wearable device 120,
controllers/devices 112a . . . 112n, and database system 120 may
each may comprise an embedded device. An embedded device is defined
herein as a dedicated device or computer comprising a combination
of computer hardware and software (fixed in capability or
programmable) specifically designed for executing a specialized
function. Programmable embedded computers or devices may comprise
specialized programming interfaces. In one embodiment, controller
104, wearable device 120, controllers/devices 112a . . . 112n, and
database system 120 may each comprise a specialized hardware device
comprising specialized (non-generic) hardware and circuitry (i.e.,
specialized discrete non-generic analog, digital, and logic based
circuitry) for (independently or in combination) executing a
process described with respect to FIGS. 1-5. The specialized
discrete non-generic analog, digital, and logic based circuitry may
include proprietary specially designed components (e.g., a
specialized integrated circuit, such as for example an Application
Specific Integrated Circuit (ASIC) designed for only implementing
an automated process for improving software feedback based
monitoring technology associated with enabling sensors for
monitoring user conditions and executing associated actions for
automatically modifying hardware and software systems. Network
117a, 117b, and 117c may include any type of network including,
inter alia, a local area network, (LAN), a wide area network (WAN),
the Internet, a wireless network, etc. Alternatively, network 117a,
117b, and 117c may include application programming interfaces
(API).
[0014] System 100 enables a process for generating real time
actionable recommendations to authoritative users (e.g., parents
and medical professionals) based on current and relevant historical
information for a user's (e.g., a patient, a child, etc.) emotional
and physical development. System 100 is enabled to generate
actionable assessments of user (e.g., a child) development based on
current research, individual user history, and currently monitored
medical conditions. Executed actions associated with the actionable
assessments may be recorded and stored in database 107. The
following implementation example describes a process for generating
real time actionable recommendations
[0015] Wearable device 120 may comprise a sensor strap worn by the
user (e.g., a patient) for measuring vital signs and moments of the
user. A software interface application on controller 104 may record
the measurements (from the sensor strap), deliver associated
information, and receive alerts based on the measurements from the
sensor strap and analyzed data from controller 104. Controller 104
may be enabled to automatically charge the sensor strap and sense
environmental conditions, noise levels, and in room disturbances of
geographical location/structure 127. Additionally, controller 104
may be comprised by or associated with a cloud server enabled to
collect, ingest, and analyze historical and current data from
medical records, studies, and journals. The historical and current
data may be combined with current user data to determine the
associated corrective actions to transmit to the software
application. The cloud server may be additionally enabled to record
the recommended actions taken and determine the impact of the
actions with respect to future outcomes.
[0016] The following implementation steps describe a process for
improving software feedback based monitoring technology associated
with enabling sensors for monitoring user conditions and executing
associated actions: [0017] 1. A patient wears a sensor strap
component such that it is in constant contact with the skin of the
patient. The sensor strap records vital sign readings, physical
attributes, measurements, and movements of the patient. The
recorded information is transmitted to a cloud server component for
analysis. [0018] 2. A controller component captures environmental
data (e.g., conditions in a structure) and recorded information of
the sensor strap data for database storage. [0019] 3. The cloud
server component collects and analyzes all retrieved data and based
on the analyzed data, recommended actions are generated and
transmitted to a mobile software application for usage by doctors
and parents of the patient. Upon execution of the recommended
actions, the patient is monitored for physic and mental changes.
Over time, system 100 learns which actions care givers are most
likely to accept and recommends the actions associated with a
highest projected impact that will be accepted by individual
patient care givers.
[0020] FIG. 2 illustrates an algorithm detailing a process flow
enabled by system 100 of FIG. 1 for improving software feedback
based monitoring technology associated with enabling sensors for
monitoring user conditions and executing associated actions for
automatically modifying hardware and software systems, in
accordance with embodiments of the present invention. Each of the
steps in the algorithm of FIG. 2 may be enabled and executed in any
order by a computer processor(s) executing computer code.
Additionally, each of the steps in the algorithm of FIG. 2 may be
enabled and executed in combination by controller 104 and wearable
device 120 of FIG. 1. In step 200, vital sign data and movement
based data associated with a user is received (continuously
receiving in real time by controller hardware device) via a
plurality of bio-sensors (e.g., heart rate sensors, temperature
sensors, blood pressure sensors, brainwave activity sensors, etc.)
integrated within a wearable device of the user. In step 202,
environmental data associated with current environmental conditions
(e.g., a temperature, a humidity level, a noise level, a lighting
level, etc.) of a current location of the user is continuously
receiving via a plurality of condition sensors (e.g., temperature
sensors, optical sensors, noise sensors, humidity level sensors,
etc.) located within a geographical area comprising the current
location of the user. In step 204, medical data associated with the
user receiving from remotely located systems. In step 208, the
vital sign data, the movement based data, the environmental data,
and the medical data are analyzed. In step 210, current and future
mental and physical conditions for the user are predicted based on
results of the analyses of step 208. In step 212, recommended
actions associated with modifying the current and future mental and
physical conditions for the user are generated and presented to an
authoritative user via a graphical user interface of a hardware
device of the authoritative user. In step 214, current physical
conditions for the user are monitored the plurality of bio-sensors
to determine if the recommended actions have been executed. Data
associated with the monitoring of step 214 is transmitted to the
external systems. In step 217, hardware based actions associated
with modifying the current and future mental and physical
conditions for the user are generated and executed resulting in a
modification of hardware enabled systems associated with the
current environmental conditions. Executing the hardware based
actions may include automatically modifying HVAC systems associated
with the current location of the user thereby modifying the current
environmental conditions. Alternatively or additionally, executing
the hardware based actions may include automatically modifying
medical devices (e.g., a heart rate control device, an oxygen
device, etc.) associated with the user thereby modifying biomedical
attributes of the user. In step 218, the hardware based actions are
tracked (via the plurality of bio-sensors integrated within the
wearable device and the plurality of condition sensors located
within the geographical area) to determine modifications of the
hardware enabled systems. In step 220, results of step 218 are
transmitted to the external systems. In step 224, feedback data
(associated with the results of step 218) is received from the
external systems. In step 228, cognitive software code of the
controller hardware device is modified based on said results of
step 218. The cognitive software code is enabled for executing
future actions resulting in an additional modification of the
hardware enabled systems associated with the additional
environmental conditions. Alternatively or additionally in step
228, cognitive software code of the controller hardware device may
be modified based on said results of step 218. The cognitive
software code is enabled for controlling future actions resulting
in an additional modification of the hardware enabled systems
associated with the additional environmental conditions. In step
232, a voltage level of a power source for the wearable device is
detected (via a charge detection circuit of the wearable device) as
being less than a predetermined threshold voltage. In response, a
charging process for automatically charging the power source is
automatically executed. The charging process may comprise a
wireless charging process for automatically charging the power
source via a wireless charging signal form the controller hardware
device.
[0021] FIG. 3 illustrates a computer system 90 (e.g., controller
104 and/or wearable device 120 of FIG. 1) used by or comprised by
the system of FIG. 1 for improving software feedback based
monitoring technology associated with enabling sensors for
monitoring user conditions and executing associated actions for
automatically modifying hardware and software systems, in
accordance with embodiments of the present invention.
[0022] Aspects of the present invention may take the form of an
entirely hardware embodiment, an entirely software embodiment
(including firmware, resident software, micro-code, etc.) or an
embodiment combining software and hardware aspects that may all
generally be referred to herein as a "circuit," "module," or
"system."
[0023] The present invention may be a system, a method, and/or a
computer program product. The computer program product may include
a computer readable storage medium (or media) having computer
readable program instructions thereon for causing a processor to
carry out aspects of the present invention.
[0024] The computer readable storage medium can be a tangible
device that can retain and store instructions for use by an
instruction execution device. The computer readable storage medium
may be, for example, but is not limited to, an electronic storage
device, a magnetic storage device, an optical storage device, an
electromagnetic storage device, a semiconductor storage device, or
any suitable combination of the foregoing. A non-exhaustive list of
more specific examples of the computer readable storage medium
includes the following: a portable computer diskette, a hard disk,
a random access memory (RAM), a read-only memory (ROM), an erasable
programmable read-only memory (EPROM or Flash memory), a static
random access memory (SRAM), a portable compact disc read-only
memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a
floppy disk, a mechanically encoded device such as punch-cards or
raised structures in a groove having instructions recorded thereon,
and any suitable combination of the foregoing. A computer readable
storage medium, as used herein, is not to be construed as being
transitory signals per se, such as radio waves or other freely
propagating electromagnetic waves, electromagnetic waves
propagating through a waveguide or other transmission media (e.g.,
light pulses passing through a fiber-optic cable), or electrical
signals transmitted through a wire.
[0025] Computer readable program instructions described herein can
be downloaded to respective computing/processing devices from a
computer readable storage medium or to an external computer or
external storage device via a network, for example, the Internet, a
local area network, a wide area network and/or a wireless network.
The network may comprise copper transmission cables, optical
transmission fibers, wireless transmission, routers, firewalls,
switches, gateway computers and/or edge servers. A network adapter
card or network interface in each computing/processing apparatus
receives computer readable program instructions from the network
and forwards the computer readable program instructions for storage
in a computer readable storage medium within the respective
computing/processing device.
[0026] Computer readable program instructions for carrying out
operations of the present invention may be assembler instructions,
instruction-set-architecture (ISA) instructions, machine
instructions, machine dependent instructions, microcode, firmware
instructions, state-setting data, or either source code or object
code written in any combination of one or more programming
languages, including an object oriented programming language such
as Smalltalk, C++ or the like, and conventional procedural
programming languages, such as the "C" programming language or
similar programming languages. The computer readable program
instructions may execute entirely on the user's computer, partly on
the user's computer, as a stand-alone software package, partly on
the user's computer and partly on a remote computer or entirely on
the remote computer or server. In the latter scenario, the remote
computer may be connected to the user's computer through any type
of network, including a local area network (LAN) or a wide area
network (WAN), or the connection may be made to an external
computer (for example, through the Internet using an Internet
Service Provider). In some embodiments, electronic circuitry
including, for example, programmable logic circuitry,
field-programmable gate arrays (FPGA), or programmable logic arrays
(PLA) may execute the computer readable program instructions by
utilizing state information of the computer readable program
instructions to personalize the electronic circuitry, in order to
perform aspects of the present invention.
[0027] Aspects of the present invention are described herein with
reference to flowchart illustrations and/or block diagrams of
methods, device (systems), and computer program products according
to embodiments of the invention. It will be understood that each
block of the flowchart illustrations and/or block diagrams, and
combinations of blocks in the flowchart illustrations and/or block
diagrams, can be implemented by computer readable program
instructions.
[0028] These computer readable program instructions may be provided
to a processor of a general purpose computer, special purpose
computer, or other programmable data processing device to produce a
machine, such that the instructions, which execute via the
processor of the computer or other programmable data processing
device, create means for implementing the functions/acts specified
in the flowchart and/or block diagram block or blocks. These
computer readable program instructions may also be stored in a
computer readable storage medium that can direct a computer, a
programmable data processing device, and/or other devices to
function in a particular manner, such that the computer readable
storage medium having instructions stored therein comprises an
article of manufacture including instructions which implement
aspects of the function/act specified in the flowchart and/or block
diagram block or blocks.
[0029] The computer readable program instructions may also be
loaded onto a computer, other programmable data processing device,
or other device to cause a series of operational steps to be
performed on the computer, other programmable device or other
device to produce a computer implemented process, such that the
instructions which execute on the computer, other programmable
device, or other device implement the functions/acts specified in
the flowchart and/or block diagram block or blocks.
[0030] The flowchart and block diagrams in the Figures illustrate
the architecture, functionality, and operation of possible
implementations of systems, methods, and computer program products
according to various embodiments of the present invention. In this
regard, each block in the flowchart or block diagrams may represent
a module, segment, or portion of instructions, which comprises one
or more executable instructions for implementing the specified
logical function(s). In some alternative implementations, the
functions noted in the block may occur out of the order noted in
the figures. For example, two blocks shown in succession may, in
fact, be executed substantially concurrently, or the blocks may
sometimes be executed in the reverse order, depending upon the
functionality involved. It will also be noted that each block of
the block diagrams and/or flowchart illustration, and combinations
of blocks in the block diagrams and/or flowchart illustration, can
be implemented by special purpose hardware-based systems that
perform the specified functions or acts or carry out combinations
of special purpose hardware and computer instructions.
[0031] The computer system 90 illustrated in FIG. 3 includes a
processor 91, an input device 92 coupled to the processor 91, an
output device 93 coupled to the processor 91, and memory devices 94
and 95 each coupled to the processor 91. The input device 92 may
be, inter alia, a keyboard, a mouse, a camera, a touchscreen, etc.
The output device 93 may be, inter alia, a printer, a plotter, a
computer screen, a magnetic tape, a removable hard disk, a floppy
disk, etc. The memory devices 94 and 95 may be, inter alia, a hard
disk, a floppy disk, a magnetic tape, an optical storage such as a
compact disc (CD) or a digital video disc (DVD), a dynamic random
access memory (DRAM), a read-only memory (ROM), etc. The memory
device 95 includes a computer code 97. The computer code 97
includes algorithms (e.g., the algorithm of FIG. 2) for improving
software feedback based monitoring technology associated with
enabling sensors for monitoring user conditions and executing
associated actions for automatically modifying hardware and
software systems. The processor 91 executes the computer code 97.
The memory device 94 includes input data 96. The input data 96
includes input required by the computer code 97. The output device
93 displays output from the computer code 97. Either or both memory
devices 94 and 95 (or one or more additional memory devices Such as
read only memory device 96) may include algorithms (e.g., the
algorithm of FIG. 2) and may be used as a computer usable medium
(or a computer readable medium or a program storage device) having
a computer readable program code embodied therein and/or having
other data stored therein, wherein the computer readable program
code includes the computer code 97. Generally, a computer program
product (or, alternatively, an article of manufacture) of the
computer system 90 may include the computer usable medium (or the
program storage device).
[0032] In some embodiments, rather than being stored and accessed
from a hard drive, optical disc or other writeable, rewriteable, or
removable hardware memory device 95, stored computer program code
84 (e.g., including algorithms) may be stored on a static,
nonremovable, read-only storage medium such as a Read-Only Memory
(ROM) device 85, or may be accessed by processor 91 directly from
such a static, nonremovable, read-only medium 85. Similarly, in
some embodiments, stored computer program code 97 may be stored as
computer-readable firmware 85, or may be accessed by processor 91
directly from such firmware 85, rather than from a more dynamic or
removable hardware data-storage device 95, such as a hard drive or
optical disc.
[0033] Still yet, any of the components of the present invention
could be created, integrated, hosted, maintained, deployed,
managed, serviced, etc. by a service supplier who offers to improve
software feedback based monitoring technology associated with
enabling sensors for monitoring user conditions and executing
associated actions for automatically modifying hardware and
software systems. Thus, the present invention discloses a process
for deploying, creating, integrating, hosting, maintaining, and/or
integrating computing infrastructure, including integrating
computer-readable code into the computer system 90, wherein the
code in combination with the computer system 90 is capable of
performing a method for enabling a process for improving software
feedback based monitoring technology associated with enabling
sensors for monitoring user conditions and executing associated
actions for automatically modifying hardware and software systems.
In another embodiment, the invention provides a business method
that performs the process steps of the invention on a subscription,
advertising, and/or fee basis. That is, a service supplier, such as
a Solution Integrator, could offer to enable a process for
improving software feedback based monitoring technology associated
with enabling sensors for monitoring user conditions and executing
associated actions for automatically modifying hardware and
software systems. In this case, the service supplier can create,
maintain, support, etc. a computer infrastructure that performs the
process steps of the invention for one or more customers. In
return, the service supplier can receive payment from the
customer(s) under a subscription and/or fee agreement and/or the
service supplier can receive payment from the sale of advertising
content to one or more third parties.
[0034] While FIG. 3 shows the computer system 90 as a particular
configuration of hardware and software, any configuration of
hardware and software, as would be known to a person of ordinary
skill in the art, may be utilized for the purposes stated supra in
conjunction with the particular computer system 90 of FIG. 3. For
example, the memory devices 94 and 95 may be portions of a single
memory device rather than separate memory devices.
Cloud Computing Environment
[0035] It is to be understood that although this disclosure
includes a detailed description on cloud computing, implementation
of the teachings recited herein are not limited to a cloud
computing environment. Rather, embodiments of the present invention
are capable of being implemented in conjunction with any other type
of computing environment now known or later developed.
[0036] Cloud computing is a model of service delivery for enabling
convenient, on-demand network access to a shared pool of
configurable computing resources (e.g., networks, network
bandwidth, servers, processing, memory, storage, applications,
virtual machines, and services) that can be rapidly provisioned and
released with minimal management effort or interaction with a
provider of the service. This cloud model may include at least five
characteristics, at least three service models, and at least four
deployment models.
[0037] Characteristics are as Follows:
[0038] On-demand self-service: a cloud consumer can unilaterally
provision computing capabilities, such as server time and network
storage, as needed automatically without requiring human
interaction with the service's provider.
[0039] Broad network access: capabilities are available over a
network and accessed through standard mechanisms that promote use
by heterogeneous thin or thick client platforms (e.g., mobile
phones, laptops, and PDAs).
[0040] Resource pooling: the provider's computing resources are
pooled to serve multiple consumers using a multi-tenant model, with
different physical and virtual resources dynamically assigned and
reassigned according to demand. There is a sense of location
independence in that the consumer generally has no control or
knowledge over the exact location of the provided resources but may
be able to specify location at a higher level of abstraction (e.g.,
country, state, or datacenter).
[0041] Rapid elasticity: capabilities can be rapidly and
elastically provisioned, in some cases automatically, to quickly
scale out and rapidly released to quickly scale in. To the
consumer, the capabilities available for provisioning often appear
to be unlimited and can be purchased in any quantity at any
time.
[0042] Measured service: cloud systems automatically control and
optimize resource use by leveraging a metering capability at some
level of abstraction appropriate to the type of service (e.g.,
storage, processing, bandwidth, and active user accounts). Resource
usage can be monitored, controlled, and reported, providing
transparency for both the provider and consumer of the utilized
service.
[0043] Service Models are as Follows:
[0044] Software as a Service (SaaS): the capability provided to the
consumer is to use the provider's applications running on a cloud
infrastructure. The applications are accessible from various client
devices through a thin client interface such as a web browser
(e.g., web-based e-mail). The consumer does not manage or control
the underlying cloud infrastructure including network, servers,
operating systems, storage, or even individual application
capabilities, with the possible exception of limited user-specific
application configuration settings.
[0045] Platform as a Service (PaaS): the capability provided to the
consumer is to deploy onto the cloud infrastructure
consumer-created or acquired applications created using programming
languages and tools supported by the provider. The consumer does
not manage or control the underlying cloud infrastructure including
networks, servers, operating systems, or storage, but has control
over the deployed applications and possibly application hosting
environment configurations.
[0046] Infrastructure as a Service (IaaS): the capability provided
to the consumer is to provision processing, storage, networks, and
other fundamental computing resources where the consumer is able to
deploy and run arbitrary software, which can include operating
systems and applications. The consumer does not manage or control
the underlying cloud infrastructure but has control over operating
systems, storage, deployed applications, and possibly limited
control of select networking components (e.g., host firewalls).
[0047] Deployment Models are as Follows:
[0048] Private cloud: the cloud infrastructure is operated solely
for an organization. It may be managed by the organization or a
third party and may exist on-premises or off-premises.
[0049] Community cloud: the cloud infrastructure is shared by
several organizations and supports a specific community that has
shared concerns (e.g., mission, security requirements, policy, and
compliance considerations). It may be managed by the organizations
or a third party and may exist on-premises or off-premises.
[0050] Public cloud: the cloud infrastructure is made available to
the general public or a large industry group and is owned by an
organization selling cloud services.
[0051] Hybrid cloud: the cloud infrastructure is a composition of
two or more clouds (private, community, or public) that remain
unique entities but are bound together by standardized or
proprietary technology that enables data and application
portability (e.g., cloud bursting for load-balancing between
clouds).
[0052] A cloud computing environment is service oriented with a
focus on statelessness, low coupling, modularity, and semantic
interoperability. At the heart of cloud computing is an
infrastructure that includes a network of interconnected nodes.
[0053] Referring now to FIG. 4, illustrative cloud computing
environment 50 is depicted. As shown, cloud computing environment
50 includes one or more cloud computing nodes 10 with which local
computing devices used by cloud consumers, such as, for example,
personal digital assistant (PDA) or cellular telephone 54A, desktop
computer 54B, laptop computer 54C, and/or automobile computer
system 54N may communicate. Nodes 10 may communicate with one
another. They may be grouped (not shown) physically or virtually,
in one or more networks, such as Private, Community, Public, or
Hybrid clouds as described hereinabove, or a combination thereof.
This allows cloud computing environment 50 to offer infrastructure,
platforms and/or software as services for which a cloud consumer
does not need to maintain resources on a local computing device. It
is understood that the types of computing devices 54A, 54B, 54C and
54N shown in FIG. 4 are intended to be illustrative only and that
computing nodes 10 and cloud computing environment 50 can
communicate with any type of computerized device over any type of
network and/or network addressable connection (e.g., using a web
browser).
[0054] Referring now to FIG. 5, a set of functional abstraction
layers provided by cloud computing environment 50 (see FIG. 4) is
shown. It should be understood in advance that the components,
layers, and functions shown in FIG. 5 are intended to be
illustrative only and embodiments of the invention are not limited
thereto. As depicted, the following layers and corresponding
functions are provided:
[0055] Hardware and software layer 60 includes hardware and
software components. Examples of hardware components include:
mainframes 61; RISC (Reduced Instruction Set Computer) architecture
based servers 62; servers 63; blade servers 64; storage devices 65;
and networks and networking components 66. In some embodiments,
software components include network application server software 67
and database software 68.
[0056] Virtualization layer 70 provides an abstraction layer from
which the following examples of virtual entities may be provided:
virtual servers 71; virtual storage 72; virtual networks 73,
including virtual private networks; virtual applications and
operating systems 74; and virtual clients 75.
[0057] In one example, management layer 80 may provide the
functions described below. Resource provisioning 81 provides
dynamic procurement of computing resources and other resources that
are utilized to perform tasks within the cloud computing
environment. Metering and Pricing 82 provide cost tracking as
resources are utilized within the cloud computing environment, and
billing or invoicing for consumption of these resources. In one
example, these resources may include application software licenses.
Security provides identity verification for cloud consumers and
tasks, as well as protection for data and other resources. User
portal 83 provides access to the cloud computing environment for
consumers and system administrators. Service level management 84
provides cloud computing resource allocation and management such
that required service levels are met. Service Level Agreement (SLA)
planning and fulfillment 85 provide pre-arrangement for, and
procurement of, cloud computing resources for which a future
requirement is anticipated in accordance with an SLA.
[0058] Workloads layer 89 provides examples of functionality for
which the cloud computing environment may be utilized. Examples of
workloads and functions which may be provided from this layer
include: mapping and navigation 91; software development and
lifecycle management 92; virtual classroom education delivery 93;
data analytics processing 94; transaction processing 95; and for
improving software feedback based monitoring technology associated
with enabling sensors for monitoring user conditions and executing
associated actions for automatically modifying hardware and
software systems 96.
[0059] While embodiments of the present invention have been
described herein for purposes of illustration, many modifications
and changes will become apparent to those skilled in the art.
Accordingly, the appended claims are intended to encompass all such
modifications and changes as fall within the true spirit and scope
of this invention.
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