INTERNATIONAL JOURNAL OF INNOVATIVE TECHNOLOGY AND CREATIVE ENGINEERING (ISSN:2045-8711) VOL.11 NO.8 AUG 2021
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UK: Managing Editor International Journal of Innovative Technology and Creative Engineering 1a park lane, Cranford London TW59WA UK
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IJITCE PUBLICATION
International Journal of Innovative Technology & Creative Engineering Vol.11 No.8 August 2021
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INTERNATIONAL JOURNAL OF INNOVATIVE TECHNOLOGY AND CREATIVE ENGINEERING (ISSN:2045-8711) VOL.11 NO.8 AUG 2021
Dear Researcher, Greetings! Articles in this issue discusses about Internet of Things in Smart Home Appliances and Continuous and Predictive Remote Wellness Monitoring with IOT and AI. We look forward many more new technologies in the next month. Thanks, Editorial Team IJITCE
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Editorial Members Dr. Chee Kyun Ng Ph.D Department of Computer and Communication Systems, Faculty of Engineering,Universiti Putra Malaysia,UPMSerdang, 43400 Selangor,Malaysia. Dr. Simon SEE Ph.D Chief Technologist and Technical Director at Oracle Corporation, Associate Professor (Adjunct) at Nanyang Technological University Professor (Adjunct) at ShangaiJiaotong University, 27 West Coast Rise #08-12,Singapore 127470 Dr. sc.agr. Horst Juergen SCHWARTZ Ph.D, Humboldt-University of Berlin,Faculty of Agriculture and Horticulture,Asternplatz 2a, D-12203 Berlin,Germany Dr. Marco L. BianchiniPh.D Italian National Research Council; IBAF-CNR,Via Salaria km 29.300, 00015 MonterotondoScalo (RM),Italy Dr. NijadKabbara Ph.D Marine Research Centre / Remote Sensing Centre/ National Council for Scientific Research, P. O. Box: 189 Jounieh,Lebanon Dr. Aaron Solomon Ph.D Department of Computer Science, National Chi Nan University,No. 303, University Road,Puli Town, Nantou County 54561,Taiwan Dr. Arthanariee. A. M M.Sc.,M.Phil.,M.S.,Ph.D Director - Bharathidasan School of Computer Applications, Ellispettai, Erode, Tamil Nadu,India Dr. Takaharu KAMEOKA, Ph.D Professor, Laboratory of Food, Environmental & Cultural Informatics Division of Sustainable Resource Sciences, Graduate School of Bioresources,Mie University, 1577 Kurimamachiya-cho, Tsu, Mie, 514-8507, Japan Dr. M. Sivakumar M.C.A.,ITIL.,PRINCE2.,ISTQB.,OCP.,ICP. Ph.D. Technology Architect, Healthcare and Insurance Industry, Chicago, USA Dr. Bulent AcmaPh.D Anadolu University, Department of Economics,Unit of Southeastern Anatolia Project(GAP),26470 Eskisehir,TURKEY Dr. Selvanathan Arumugam Ph.D Research Scientist, Department of Chemistry, University of Georgia, GA-30602,USA. Dr. S.Prasath Ph.D Assistant Professor, Department of Computer Science, Nandha Arts & Science College, Erode , Tamil Nadu, India Dr. P.Periyasamy, M.C.A.,M.Phil.,Ph.D. Associate Professor, Department of Computer Science and Applications, SRM Trichy Arts and Science College, SRM Nagar, Trichy - Chennai Highway, Near Samayapuram, Trichy - 621 105, Mr. V N Prem Anand Secretary, Cyber Society of India
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Review Board Members Dr. Rajaram Venkataraman Chief Executive Officer, Vel Tech TBI || Convener, FICCI TN State Technology Panel || Founder, Navya Insights || President, SPIN Chennai Dr. Paul Koltun Senior Research ScientistLCA and Industrial Ecology Group,Metallic& Ceramic Materials,CSIRO Process Science & Engineering Private Bag 33, Clayton South MDC 3169,Gate 5 Normanby Rd., Clayton Vic. 3168, Australia Dr. Zhiming Yang MD., Ph. D. Department of Radiation Oncology and Molecular Radiation Science,1550 Orleans Street Rm 441, Baltimore MD, 21231,USA Dr. Jifeng Wang Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign Urbana, Illinois, 61801, USA Dr. Giuseppe Baldacchini ENEA - Frascati Research Center, Via Enrico Fermi 45 - P.O. Box 65,00044 Frascati, Roma, ITALY. Dr. MutamedTurkiNayefKhatib Assistant Professor of Telecommunication Engineering,Head of Telecommunication Engineering Department,Palestine Technical University (Kadoorie), TulKarm, PALESTINE. Dr.P.UmaMaheswari Prof &Head,Depaartment of CSE/IT, INFO Institute of Engineering,Coimbatore. Dr. T. Christopher, Ph.D., Assistant Professor &Head,Department of Computer Science,Government Arts College(Autonomous),Udumalpet, India. Dr. T. DEVI Ph.D. Engg. (Warwick, UK), Head,Department of Computer Applications,Bharathiar University,Coimbatore-641 046, India. Dr. Renato J. orsato Professor at FGV-EAESP,Getulio Vargas Foundation,São Paulo Business School,RuaItapeva, 474 (8° andar),01332-000, São Paulo (SP), Brazil Visiting Scholar at INSEAD,INSEAD Social Innovation Centre,Boulevard de Constance,77305 Fontainebleau - France Y. BenalYurtlu Assist. Prof. OndokuzMayis University Dr.Sumeer Gul Assistant Professor,Department of Library and Information Science,University of Kashmir,India Dr. ChutimaBoonthum-Denecke, Ph.D Department of Computer Science,Science& Technology Bldg., Rm 120,Hampton University,Hampton, VA 23688 Dr. Renato J. Orsato Professor at FGV-EAESP,Getulio Vargas Foundation,São Paulo Business SchoolRuaItapeva, 474 (8° andar),01332-000, São Paulo (SP), Brazil Dr. Lucy M. Brown, Ph.D. Texas State University,601 University Drive,School of Journalism and Mass Communication,OM330B,San Marcos, TX 78666 JavadRobati Crop Production Departement,University of Maragheh,Golshahr,Maragheh,Iran VineshSukumar (PhD, MBA) Product Engineering Segment Manager, Imaging Products, Aptina Imaging Inc. Dr. Binod Kumar PhD(CS), M.Phil.(CS), MIAENG,MIEEE Professor, JSPM's Rajarshi Shahu College of Engineering, MCA Dept., Pune, India. Dr. S. B. Warkad Associate Professor, Department of Electrical Engineering, Priyadarshini College of Engineering, Nagpur, India Dr. doc. Ing. RostislavChoteborský, Ph.D. Katedramateriálu a strojírenskétechnologieTechnickáfakulta,Ceskázemedelskáuniverzita v Praze,Kamýcká 129, Praha 6, 165 21
Dr. Paul Koltun Senior Research ScientistLCA and Industrial Ecology Group,Metallic& Ceramic Materials,CSIRO Process Science & Engineering Private Bag 33, Clayton South MDC 3169,Gate 5 Normanby Rd., Clayton Vic. 3168 www.ijitce.co.uk
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DR.ChutimaBoonthum-Denecke, Ph.D Department of Computer Science,Science& Technology Bldg.,HamptonUniversity,Hampton, VA 23688 Mr. Abhishek Taneja B.sc(Electronics),M.B.E,M.C.A.,M.Phil., Assistant Professor in the Department of Computer Science & Applications, at Dronacharya Institute of Management and Technology, Kurukshetra. (India). Dr. Ing. RostislavChotěborský,ph.d, Katedramateriálu a strojírenskétechnologie, Technickáfakulta,Českázemědělskáuniverzita v Praze,Kamýcká 129, Praha 6, 165 21
Dr. AmalaVijayaSelvi Rajan, B.sc,Ph.d, Faculty – Information Technology Dubai Women’s College – Higher Colleges of Technology,P.O. Box – 16062, Dubai, UAE
Naik Nitin AshokraoB.sc,M.Sc Lecturer in YeshwantMahavidyalayaNanded University Dr.A.Kathirvell, B.E, M.E, Ph.D,MISTE, MIACSIT, MENGG Professor - Department of Computer Science and Engineering,Tagore Engineering College, Chennai Dr. H. S. Fadewar B.sc,M.sc,M.Phil.,ph.d,PGDBM,B.Ed. Associate Professor - Sinhgad Institute of Management & Computer Application, Mumbai-BangloreWesternly Express Way Narhe, Pune - 41 Dr. David Batten Leader, Algal Pre-Feasibility Study,Transport Technologies and Sustainable Fuels,CSIRO Energy Transformed Flagship Private Bag 1,Aspendale, Vic. 3195,AUSTRALIA Dr R C Panda (MTech& PhD(IITM);Ex-Faculty (Curtin Univ Tech, Perth, Australia))Scientist CLRI (CSIR), Adyar, Chennai - 600 020,India Miss Jing He PH.D. Candidate of Georgia State University,1450 Willow Lake Dr. NE,Atlanta, GA, 30329 Jeremiah Neubert Assistant Professor,MechanicalEngineering,University of North Dakota Hui Shen Mechanical Engineering Dept,Ohio Northern Univ. Dr. Xiangfa Wu, Ph.D. Assistant Professor / Mechanical Engineering,NORTH DAKOTA STATE UNIVERSITY SeraphinChallyAbou Professor,Mechanical& Industrial Engineering Depart,MEHS Program, 235 Voss-Kovach Hall,1305 OrdeanCourt,Duluth, Minnesota 55812-3042 Dr. Qiang Cheng, Ph.D. Assistant Professor,Computer Science Department Southern Illinois University CarbondaleFaner Hall, Room 2140-Mail Code 45111000 Faner Drive, Carbondale, IL 62901 Dr. Carlos Barrios, PhD Assistant Professor of Architecture,School of Architecture and Planning,The Catholic University of America
Y. BenalYurtlu Assist. Prof. OndokuzMayis University Dr. Lucy M. Brown, Ph.D. Texas State University,601 University Drive,School of Journalism and Mass Communication,OM330B,San Marcos, TX 78666 Dr. Paul Koltun Senior Research ScientistLCA and Industrial Ecology Group,Metallic& Ceramic Materials CSIRO Process Science & Engineering Dr.Sumeer Gul Assistant Professor,Department of Library and Information Science,University of Kashmir,India www.ijitce.co.uk
INTERNATIONAL JOURNAL OF INNOVATIVE TECHNOLOGY AND CREATIVE ENGINEERING (ISSN:2045-8711) VOL.11 NO.8 AUG 2021 Dr. ChutimaBoonthum-Denecke, Ph.D Department of Computer Science,Science& Technology Bldg., Rm 120,Hampton University,Hampton, VA 23688
Dr. Renato J. Orsato Professor at FGV-EAESP,Getulio Vargas Foundation,São Paulo Business School,RuaItapeva, 474 (8° andar)01332-000, São Paulo (SP), Brazil Dr. Wael M. G. Ibrahim Department Head-Electronics Engineering Technology Dept.School of Engineering Technology ECPI College of Technology 5501 Greenwich Road - Suite 100,Virginia Beach, VA 23462 Dr. Messaoud Jake Bahoura Associate Professor-Engineering Department and Center for Materials Research Norfolk State University,700 Park avenue,Norfolk, VA 23504 Dr. V. P. Eswaramurthy M.C.A., M.Phil., Ph.D., Assistant Professor of Computer Science, Government Arts College(Autonomous), Salem-636 007, India. Dr. P. Kamakkannan,M.C.A., Ph.D ., Assistant Professor of Computer Science, Government Arts College(Autonomous), Salem-636 007, India. Dr. V. Karthikeyani Ph.D., Assistant Professor of Computer Science, Government Arts College(Autonomous), Salem-636 008, India. Dr. K. Thangadurai Ph.D., Assistant Professor, Department of Computer Science, Government Arts College ( Autonomous ), Karur - 639 005,India. Dr. N. Maheswari Ph.D., Assistant Professor, Department of MCA, Faculty of Engineering and Technology, SRM University, Kattangulathur, Kanchipiram Dt - 603 203, India. Mr. Md. Musfique Anwar B.Sc(Engg.) Lecturer, Computer Science & Engineering Department, Jahangirnagar University, Savar, Dhaka, Bangladesh. Mrs. Smitha Ramachandran M.Sc(CS)., SAP Analyst, Akzonobel, Slough, United Kingdom. Dr. V. Vallimayil Ph.D., Director, Department of MCA, Vivekanandha Business School For Women, Elayampalayam, Tiruchengode - 637 205, India. Mr. M. Moorthi M.C.A., M.Phil., Assistant Professor, Department of computer Applications, Kongu Arts and Science College, India PremaSelvarajBsc,M.C.A,M.Phil Assistant Professor,Department of Computer Science,KSR College of Arts and Science, Tiruchengode Mr. G. Rajendran M.C.A., M.Phil., N.E.T., PGDBM., PGDBF., Assistant Professor, Department of Computer Science, Government Arts College, Salem, India. Dr. Pradeep H Pendse B.E.,M.M.S.,Ph.d Dean - IT,Welingkar Institute of Management Development and Research, Mumbai, India Muhammad Javed Centre for Next Generation Localisation, School of Computing, Dublin City University, Dublin 9, Ireland Dr. G. GOBI Assistant Professor-Department of Physics,Government Arts College,Salem - 636 007 Dr.S.Senthilkumar Post Doctoral Research Fellow, (Mathematics and Computer Science & Applications),UniversitiSainsMalaysia,School of Mathematical Sciences, Pulau Pinang-11800,[PENANG],MALAYSIA. Manoj Sharma Associate Professor Deptt. of ECE, PrannathParnami Institute of Management & Technology, Hissar, Haryana, India RAMKUMAR JAGANATHAN Asst-Professor,Dept of Computer Science, V.L.B Janakiammal college of Arts & Science, Coimbatore,Tamilnadu, India Dr. S. B. Warkad Assoc. Professor, Priyadarshini College of Engineering, Nagpur, Maharashtra State, India Dr. Saurabh Pal Associate Professor, UNS Institute of Engg. & Tech., VBS Purvanchal University, Jaunpur, India
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INTERNATIONAL JOURNAL OF INNOVATIVE TECHNOLOGY AND CREATIVE ENGINEERING (ISSN:2045-8711) VOL.11 NO.8 AUG 2021 Manimala Assistant Professor, Department of Applied Electronics and Instrumentation, St Joseph’s College of Engineering & Technology, Choondacherry Post, Kottayam Dt. Kerala -686579 Dr. Qazi S. M. Zia-ul-Haque Control Engineer Synchrotron-light for Experimental Sciences and Applications in the Middle East (SESAME),P. O. Box 7, Allan 19252, Jordan Dr. A. Subramani, M.C.A.,M.Phil.,Ph.D. Professor,Department of Computer Applications, K.S.R. College of Engineering, Tiruchengode - 637215 Dr. SeraphinChallyAbou Professor, Mechanical & Industrial Engineering Depart. MEHS Program, 235 Voss-Kovach Hall, 1305 Ordean Court Duluth, Minnesota 558123042 Dr. K. Kousalya Professor, Department of CSE,Kongu Engineering College,Perundurai-638 052 Dr. (Mrs.) R. Uma Rani Asso.Prof., Department of Computer Science, Sri Sarada College For Women, Salem-16, Tamil Nadu, India. MOHAMMAD YAZDANI-ASRAMI Electrical and Computer Engineering Department, Babol"Noshirvani" University of Technology, Iran. Dr. Kulasekharan, N, Ph.D Technical Lead - CFD,GE Appliances and Lighting, GE India,John F Welch Technology Center,Plot # 122, EPIP, Phase 2,Whitefield Road,Bangalore – 560066, India. Dr. Manjeet Bansal Dean (Post Graduate),Department of Civil Engineering,Punjab Technical University,GianiZail Singh Campus,Bathinda -151001 (Punjab),INDIA Dr. Oliver Jukić Vice Dean for education,Virovitica College,MatijeGupca 78,33000 Virovitica, Croatia Dr. Lori A. Wolff, Ph.D., J.D. Professor of Leadership and Counselor Education,The University of Mississippi,Department of Leadership and Counselor Education, 139 Guyton University, MS 38677
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Contents Internet of Things in Smart Home Appliances,
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Continuous and Predictive Remote Wellness Monitoring with IOT and AI …..……….……………. [ 1015 ]
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INTERNATIONAL JOURNAL OF INNOVATIVE TECHNOLOGY AND CREATIVE ENGINEERING (ISSN:2045-8711) VOL.11 NO.8 AUG 2021
Internet of Things in Smart Home Appliances Dr.D.Rajakumari 1, S.Karthika
2
Department of Computer Science, Nandha Arts and Science College, Erode, Tamilnadu, India 1 rajakumari.d@nandhaarts.org, 2 karthika.s@nandhaarts.org
Abstract
Different applications in the automotive, aviation and
Abstract— The large-scale implementation of IoT
nautical sectors such as the sensing of tyre pressures
devices promises to transform many aspects of the
for trucking fleets.
way we live. For consumers, new IoT products like
A smart home system can be something that
automation
makes our life quite easy. Starting from energy
components, and energy management devices are
management where the power controls system in the
moving us toward a vision of the “smart home’’,
AC appliances where we use the thermostat, all this
offering more security and energy effectiveness.
is managed to cut down the power consumption that's
Other personal IoT devices like wearable robustness
taking place. A door management system, security
and health monitoring devices and network-enabled
management system, water management system are
medical devices are transforming the way healthcare
the part of this as well. Still, these are vital things that
services are delivered. This technology promises to
stand out in the smart home system. The limitation of
be favourable for people with disabilities and the
IoT in smart home application stops where our
elderly, enabling enhanced levels of independence
imagination stops. Anything that we wish to automate
and quality of life at a reasonable cost.
or want to make our life easier can be a part of smart
Internet-enabled
appliances,
home
home, a smart phone system as well. Smart Home is Keywords: Smart Automotive. I.
Home,
Sensor,
Remote,
other
networks,
remotely
with
automation
control,
network
The IoT based Smart Home, by application of
have devices communicates with one another via the or
integrated
communication and Internet of things (IoT).
Introduction
The Internet of Things (IoT) is the ability to internet
a safe, networked and intelligent home control system
tracking
information to provide feedback to assist with decision making for commercial, industrial and residential purposes. This is commonly done using sensors connecting to a back-to-base system.
sensors, collects indoor environmental parameter information such as temperature, humidity and gas concentration, etc., as well as information on various household appliances. The information collected will then be transmitted by the IoT gateway to the server on the Internet and users can monitor the operation of each subsystem of the Smart Home after login. In this paper, a systematic framework of IoT based Smart
Some common day-to-day examples could be: Temperatures in refrigeration or food heating units in the food and beverage industry. Assistance with the control of temperature and humidity levels. Detection of gas and dust levels. Monitoring of water
Home has been designed, studies on home safety precaution, smart lighting, environmental control and home appliance control have been conducted and the system functions have also been tested.
levels and herd locations for agricultural purposes.
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INTERNATIONAL JOURNAL OF INNOVATIVE TECHNOLOGY AND CREATIVE ENGINEERING (ISSN:2045-8711) VOL.11 NO.8 AUG 2021 needs something a bit more robust than a wireless II. Functions of Smart Home Appliances
router tucked out of sight to maintain an unbroken
A smart home system consists of applications built on top of IoT infrastructure. The smart home applications can have following main functions –
blanket of Wi-Fi. It needs enterprise-class networking equipment, as well as several wireless access points placed strategically throughout the home.
A. Attentive The smart home system is able to sense its environment and accordingly send alerts to the user on registered device or account. The alert
E. Lighting control, automated window treatments Together,
lighting
control
and
consists of information related to environmental
automated window treatments allow you to
data. This information may include level of different
control every aspect of your home lighting
gases in the atmosphere, warmth, damp, daylight
and diminish unsightly wall clutter such as
passion etc. alert may be sent to user on regular
excessive switches. Lighting control systems
basis at predefined time. Alert may be sent over
are typically network-based, so a whole
email, as a text message, through tweets or
building can be controlled from one spot. F. Scattered audio
through any other societal medium.
Scattered audio makes that dream a
B. Examine This is the most important function of smart
reality, connecting multiple (or all, for the
home. A smart home is capable of monitoring its
ambitious) rooms to your home network, putting
surrounding with the help of various sensors and
the power to DJ your home right at your
camera feed. Examine is an important function as it
fingertips — and yes, it can integrate seamlessly
keep track to every activity in a smart home which is
with the other components of your smart home.
the primary need on basis of which any further action
With lighting and music under your full control,
can be taken or decision can be made. For example
you can turn your living space into a complete
monitoring room temperature and sending alert to
club experience without flipping a switch.
user to switch on air-conditioner if temperature is above entrance.
III. Applications of Smart Home
C. Distant access
We all are experiencing new things every
When
most
people
talk
about
single day as time passes. Of all, most come with
smart
the invention of the computer and the arrival of the
homes, what they really mean is remote access
internet. The more we rely on them the easier things
to one’s home systems. Distant access lets you
get. however, as we all know, new things bring new
operate your home’s systems without cloning
challenges.
yourself.
In a way of starting a new era, Internet of D. Sophisticated home network
Things as a term has hopped into our lives and
It refers to the wirelessly controlled network of devices that is becoming a bigger part of our lives and is central to the smart home. To maintain a highly
started to dominate the field pretty well. In every facet of life, we can come across with the smart home IoT applications.
functional Internet of Things, the automated home
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INTERNATIONAL JOURNAL OF INNOVATIVE TECHNOLOGY AND CREATIVE ENGINEERING (ISSN:2045-8711) VOL.11 NO.8 AUG 2021 The main goal of this application is to monitor suspected activity in smart home and alert user and take necessary actions for security purpose. Smoke/Gas Detection This application is used for sensing the smart home environment for healthy living and can also be used for security. This application is used for optical detection, ionization, and air sampling practice. It is capable of raising alert to near by fire station in case of fire Fig: 1 Smart Home Applications
and smoke and to user via email/SMS informing them about health risks. Merits of Smart Home
G. Elegant Lighting Elegant lighting is used for energy saving which can be achieved by adapting lighting to the ambient conditions and by switching on/off or dimming of lights according to user needs thus reducing the unnecessary use of energy. Saving energy also helps in reducing cost. The smart lighting can be implemented with Solid State lighting (LEDs) or IPenabled lights (Internet or wireless controlled). The smart lighting works by sensing the occupancy, temperature/humidity and LUX level in the environment.
1. Managing all of your home devices from one place. The expediency factor here is enormous. Being able to keep all of the technology in your home connected through one interface is a massive step forward for technology and home management. Theoretically, all you’ll have to do is learn how to use one app on your smart phone and tablet, and you’ll be able to tap into countless functions and devices throughout your home. This cuts way back on the learning curve for new users, makes it easier to access the functionality you truly want for your home.
H. Stylish Appliances Stylish appliances are used for gathering status information of appliances and to easily control appliances from within the room or remotely. It is also used for forecast tasks at predefined time and for runtime integration between appliances. Smart appliances save energy and time.
2. Flexibility for new devices and appliances. Smart home systems tend to be wonderfully flexible when it comes to the accommodation of new devices and appliances and other technology. No matter how state-of-the-art your appliances seem today, there will be newer, more impressive models developed as time goes on. Beyond that, you’ll probably add to your suite
I. Intrusion Detection
of devices as you replace the older ones or discover
Intrusion detection is used for alerting user through email and text message. The intrusion detection application can also send detailed report with images or audio/video clip to the user.
new technology to accompany your indoor and outdoor spaces. Being able to integrate these newcomers seamlessly will make your job as a homeowner much easier, and allow you to keep upgrading to the latest lifestyle technology.
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INTERNATIONAL JOURNAL OF INNOVATIVE TECHNOLOGY AND CREATIVE ENGINEERING (ISSN:2045-8711) VOL.11 NO.8 AUG 2021 3. Maximizing home security. When you incorporate
6. Improved appliance functionality. Smart homes can
security and surveillance features in your smart home
also help you run your appliances better. A smart TV
network, your home security can skyrocket. There are
will help you find better apps and channels to locate
tons of options here -- only a few dozen of which are
your favorite programming. A smart oven will assist
currently
home
you with cooking your chicken to perfection -- without
automation systems can connect motion detectors,
ever worrying about overcooking or undercooking it.
surveillance cameras, automated door locks, and
An intelligently designed home theater and audio
other tangible security measures throughout your
system can make managing your movie and music
home so you can activate them from one mobile
collection
device before heading to bed. You can also choose to
Ultimately, connecting your appliances and other
receive security alerts on your various devices
systems with automation technology will improve your
depending on the time of day an alert goes off, and
appliance effectiveness and overall make your home
monitor activities in real-time whether you’re in the
life much easier and enjoyable!
being
explored.
For
example,
effortless
when
entertaining
guests.
house or halfway around the globe. 7. 4.
Remote
control
of
home
Home
management
insights. There’s
also
functions. Don’t
something to be said for your ability to tap into insights
underestimate the power of being able to control your
on how your home operates. You can monitor how
home’s functions from a distance. On an exceptionally
often you watch TV (and what you watch), what kind
hot day, you can order your house to become cooler
of meals you cook in your oven, the type of foods you
in just enough time before you get home from work. If
keep
you’re in a hurry to get dinner started but you’re still at
consumption habits over time. From these insights,
the store, you can have your oven start to preheat
you may be able to analyze your daily habits and
while you’re still on your way home. You can even
behaviors, and make adjustments to live the lifestyle
check to see if you left the lights on, who is at your
you desire.
in
your
refrigerator,
and
your
energy
front door, or make sure you turned off all your media Demerits of Smart Home
while you’re away. 5. Increased energy efficiency depending on how you
1. Privacy: One problem regarding smart homes is
use your smart-home technology, it’s possible to
voice activation. In order for it to work, voice activation
make your space more energy-efficient. For example,
has to be on and listening all the time. Some news
you can have more precise control over the heating
outlets suggest that some companies listen to smart
and cooling of your home with a programmable smart
assistant devices and can overhear what is said in
thermostat that learns your schedule and temperature
your home.
preferences, and then suggests the best energy efficient settings throughout the day. Lights and motorized shades can be programed to switch to an evening mode as the sun sets, or lights can turn on and off automatically when you enter or leave the room, so you never have to worry about wasting
2. Bandwidth: The more things that you have hooked to your wifi, the more bandwidth you are going to take up. Since your smart house uses that wifi to do its job, you run the risk of slowing down everything on your system if you don’t have enough bandwidth. You can
energy.
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INTERNATIONAL JOURNAL OF INNOVATIVE TECHNOLOGY AND CREATIVE ENGINEERING (ISSN:2045-8711) VOL.11 NO.8 AUG 2021 sign up for more bandwidth through your Internet service provider. CONCLUSION AND FUTURE WORK 3. Internet Security: One big problem with the IoT is
A. Conclusion
that hackers can use all those machines and devices to host attacks and viruses on the rest of the Internet.
The home automation using Internet of Things has
Luckily, you can relatively easily overcome this by
been experimentally proven to work adequately by
making sure that you change default passwords and
connecting simple appliances to it and the appliances
use strong passwords. Strong passwords are
were
generally long, with numbers, letters, and special
internet. The designed system not only monitors the
characters.
sensor data, like temperature, gas, light, motion
productively
controlled
remotely
through
sensors, but also acts process according to the 4. Power Surges: Another disadvantage is that power
obligation, for example switching on the light when it
surges can cause problems with the entire automation
gets dark. It also stores the sensor parameters in the
system, so you will have to make sure that you protect
cloud (Gmail) in a timely manner. This will help the
everything from surges.
user to scrutinize the situation of various parameters in the home anytime anywhere. Future work Using this system as frame work, the system can be stretched to include various other options which could include home security feature like capturing the photo of a person stirring around the house and storing it onto the cloud. This will reduce the data storage than using the CCTV camera which will record all the time and stores it. The system can be extended for energy monitoring, or weather stations. This kind of a system with individual changes can be implemented in the hospitals for immobilize people or in industries where human invasion is impossible or risky, and it can also be implemented for ecological monitoring.
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INTERNATIONAL JOURNAL OF INNOVATIVE TECHNOLOGY AND CREATIVE ENGINEERING (ISSN:2045-8711) VOL.11 NO.8 AUG 2021 REFERENCES [1] Boban Davidovic, Aleksandra Labus, “A SMART HOME SYSTEM
BASED
ON
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TECHNOLOGY”,
Electronics and Energetics Vol. 29, No 3, September 2016, pp. 451 – 460. [2] Sirsath N. S, Dhole P. S, Mohire N. P, Naik S. C & Ratnaparkhi N.S Department of Computer Engineering, 44, Vidyanagari,Parvati,Pune-411009,India University of Pune, “Home Automation using Cloud Network and Mobile Devices”. [3] Charith Perera, Student Member, IEEE, Arkady Zaslavsky, Member,
IEEE,
Peter
Christen,and
DimitriosGeorgakopoulos, Member, IEEE “Context Aware Computing for The Internet of Things: A Survey”. IEEE COMMUNICATIONS SURVEYS & TUTORIAL.. [4] Internet of Things - Architecture (IoT-A). FP7European Project. Online at:http://www.iot- a.eu/public. [5] BCC Research, “Sensors: Technologies and global markets,” [6] Das, S.R., Chita, S., Peterson, N., Shirazi, B.A., Bhadkamkar, M.,“Home automation and security for mobile devices. [7] Rajeev Piyare “Internet of Things: Ubiquitous Home Control and Monitoring System using Android based Smart Phone”. [8] Vishwajeet H.Bhide “A Survey on the Smart Homes using Internet of Things (IoT)”. [9] European Commission, “Internet of things in 2020 road mapfor the future,”Working Group RFIDofthe ETP EPOSS, Tech. Rep., May 2008, http://ec.europa.eu/informationsociety/policy/rfid/documents/iotpra gue2009.pdf [Accessed on: 2011-06-12].S
[10] Muhammad Izhar Ramli, Mohd Helmy Abd Wahab, Nabihah, “TOWARDS SMARTHOME: CONTROL ELECTRICAL DEVICES ONLINE”
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INTERNATIONAL JOURNAL OF INNOVATIVE TECHNOLOGY AND CREATIVE ENGINEERING (ISSN:2045-8711) VOL.11 NO.8 AUG 2021
Continuous and Predictive Remote Wellness Monitoring with IOT and AI Neelameghan Muralidharan Tech Evangelist, AM Technologies and JKF Foundation, USA hethi Inc. India/USA, e-volve Corporate Technologies, Australia
Email: muralimeghan@gmail.com
Abstract—
Pandemic has challenged global economy disrupting the current way of doing business. Business continuity is on steroids is the new normal and demands being Proactive on wellness. Identity + Wellness is essential at every access point and every closed engagementlocation likefront office, back office, class room, staff rooms, recreation rooms, Library. To ensure Wellness, comprehensive health screening is the new normal along with information security and compliance. The new normal will continue to impact with various lockdowns impacting the manufacturing, banking and education sectors that are back bones of a nation. The existing methodologies lack continuous monitoring and are designed to monitor at the entry or access with a temperature screening, face mask detection providing monitoring only at the instance. Alternatively Contact tracing with too many data points irrelevant to impact when found reactively post any wellness impact in case any individual is impacted. Both methods provide very low hit ratio of tracing others with possible anomalies for early isolated assessment or identifying potential impacted crowd. Vaccination though being a preventive measure, there is no one solution to prominently eliminating any viral impacts to human to resume business as usual In the US 5,800 small U.S.-based businesses, published in July 2020, revealed that 41.3% of the businesses were “temporarily closed because of COVID-19,” while 1.8% had closed their doors for good The unique IOT and AI solution brings in advantage of continuous monitoring of employees or students with body skin temperature and integrated contact tracing with predictive analytics on the bigdata creating informed decisions enabling the authorized human agents to isolate for early diagnosis upon any detection of anomalies
Keywords: Wellness monitoring, COVID monitoring, business continuity in pandemic, IOT, Machine learning, continuous body skin temperature monitoring, Industry agnostic
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INTRODUCTION When there is a disaster, there was always a plan for business continuity. But when the world faced pandemic and in the current economies the impact of livelihood wellness was well felt impacting GDP. In the past 2 years of pandemic and go forward wellness is an integral part of business continuity and compliance for access, presence to monitor for any anomalies that would redirect to authorities for proper assessment and isolation preventing spread assuring business The designed IOT system will be worn by students and workforce in the arms as an arm band that would continuously monitor body skin temperature, alert on any just in time temperature anomalies using predictive AI. Upon assessment if the individual is found impacted, a predictive analyser detects human around them on premise along with the temperature thus reducing time lag and reduce time of spread by trace of contact
PREVAILING METHODS AND CHALLENGES IN ANOMALY DETECTION Thermal Guns
In the entry to premise, just in time check and very close proximity in case of any body temperature anomalies, no opportunity to detect post entry to the premise, demands high human efforts and operational expense. No specific learning methodologies to predict on the device. Best case scenario is utilizing Weak AI algorithmthat correlates big data into usable information by detecting patterns and making predictions Monitoring temperature on Thermal Cameras
Performs only just in time check, expensive, extensive installation and maintenance, demands higher level of AI learning curve. Designed with computer vision with artificial intelligence that trains computers to interpret and understand the visual world. Machines can accurately identify and locate objects then react to what they “see” using digital images from cameras, videos, and deep learning models
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INTERNATIONAL JOURNAL OF INNOVATIVE TECHNOLOGY AND CREATIVE ENGINEERING (ISSN:2045-8711) VOL.11 NO.8 AUG 2021
Fig. 1. Monitoring by continuous detection
Contact tracing
Limited to social distance between individuals alerts and does not detect any just in time anomalies leading to false positives. It is always reactive if someone is tested for anomalies and to back track to find anyone in close proximity and needs to be tested for anomalies as well. The AI learning model that can be applied is aligned to K Means clustering AI Algorithm and with analytic and interactive data types. Technologies used are Bluetooth or Ultrasonic / Bluetooth (emerging) for contact tracing. It is mostly mobile based and challenges the privacy aspects. The above methodologies are monolithic in nature and demands very expensive post-mortem to identify in trace post identification of impacted candidate The prevailing technology gap is missing to have an edge intelligent platform that will be scalable to plug and play various types of sensors automatically creating a digital twin enabling monitoring of anomalies assuring business continuity at enterprise scale
Fig. 2. K Means clustering model
B.
Body skin temperature for continuous monitoring
Body skin temperature is most accurate without any calibration to be utilized for temperature monitoring on the human body. The measurement of skin temperature is highly dependent on the location of measurement and also ambient temperature, as explained in designing thermoelectric generators for self-powered wearable electronics [DOI: 10.1039/C6EE00456C]. Body skin temperature accuracy along with permissible industrial safety allowed us In combination with Contact tracing TC4TL, it eliminates opportunity to wait till someone shows up for diagnosis and track TC4TL candidates
SECURED & PREDICTIVE ANOMALY MONITORING USING AI AND IOT Muralidharan N, designed a technology platform design that continuously monitors anomalies for every specified interval through a device designed to measure and monitors body skin temperature along with subjects at a prescribed contact traceable distance compliant to Too close for too long (TC4TL) on premise that enabled the impact of neighbours. Monitoring is done specific to premise for event handling and does no track the location of an individual except notification of presence or absence from the premise with or without anomalies and TC4TL A.
Detection of anomalies bigdata K Means Clustering
THE EDGE INTELLIGENT HARDWARE (IOT BASED ARM BAND) Fig. 3. Body skin on triceps with industrial safety
The smart remote anomaly monitoring is catered by Industrial IOT with edge intelligence, K-Means Clustering AI Algorithm with analytic and interactive data types as a digital twin were utilized to arrive at the architecture for remote continuous monitoring with edge intelligence
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INTERNATIONAL JOURNAL OF INNOVATIVE TECHNOLOGY AND CREATIVE ENGINEERING (ISSN:2045-8711) VOL.11 NO.8 AUG 2021 On the hardware edge side of the platform, the edge intelligence defines dynamic behaviour based on use cases. Provided with the following options: C.
The Arm band:
The wearable worn by staffs and students in the arm when they are on premise. Safely worn below the clothing close to armpit compliant to industrial safety preventing wearing of watch in arms, neck, shoulders
Fig. 4. Arm band and BLE modem with streaming data
D.
Wireless Technology used to build thermal armband
4. Sensor Accuracy on body skin:+/-0.1°F between 95°F to 100.4° & +/-0.2°F between 100.4°F to 113°F 5. Ability to profile individual skin temperature profile and improve post data collections Crowd Mode: Option to drive the entirety of data from the device to the AI and analytics cloud. This crowd mode helps to monitor with audit trails between normality and abnormal conditions with surplus data points with short range contact tracing within 6 feet. This mode consumes high battery power and may need replacement of batteries once in 2 months Individual Mode: Alternatively, the edge intelligence can operate in sleeping technology mode, where until an anomaly is detected, the device will be in low power, energy saving mode along contact tracing limited to the premise at 30 Feet radius. Once an anomaly is encountered, just in time communication is established from the edge. This helps in long battery life, demand of low storage. This mode consumes verylow battery power and may need replacement of batteries once in 9 to 12 months F.
Armband location tracking of individuals
Armband does not have location tracking capability at all. Armband is hooked on to the BLE-WIFI Router provided in each class room or in the bus detects and collects the armband temperature anomalies for sending alerts. This device does not get connected to mobile for security and is transmitted through secured BLE-WIFI modem transmitted to controlled admin data premise. Compliance to HIPPA can be enabled with out display of name, age as demography in the dashboard G. Safety of battery in the armband Fig. 5. Arm band and bio strap with 99.5% pure Copper for better temperature conduction
BLE short range technology is used to monitor temperature and BLE operates at a maximum data rate bandwidth of 1 MBPS on the band worn by the student and staff
E.
Salient operations specifications
1. Skin Temperature is the methodology for any quick temperature detection. Typically, 36.1 ~ 36.7C body Temperature in Arm pit area = 33.15 ~ 33.40 C on Body skin 2. Arm band 10 ~ 15 CMs away from armpit, position that provides best continuous monitoring 3. Sensor designed towards ASTM E1112 and ISO 80601 requirements for thermometers
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Armband has a non-rechargeable CR Lithium battery replaceable in 2 to 9 months based on enabling of features. Hence the opportunity to charging hazards is eliminated H.
Arm band anomaly detection
Armband continuously monitors and detects only body skin temperature anomalies and set Exceptions on being in the designated premise like classrooms, staff rooms, library, bus etc... Does not infer any fever and always routes to the authorities to examine with proper experts for isolation exceptions
BIGDATA AI PLATFORM FOR SMART WELLNESS TRACKING The platform designed to receive the big data is processed through high-speed messaging server, processed by streaming server by applying K-Means Clustering AI Algorithm with analytics and interactive data types as a digital twin alerting with better accuracy helping operations to resolve leading early isolation and predictive crowd TC4TL contact traced candidates for anomaly assessment. Set up the
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INTERNATIONAL JOURNAL OF INNOVATIVE TECHNOLOGY AND CREATIVE ENGINEERING (ISSN:2045-8711) VOL.11 NO.8 AUG 2021 organization, school, classrooms and operating management to set up continuous monitoring A.
Alert abnormal body Temperature:
THE SOLUTION OF WELLNESS MONITORING PLATFORM
Monitor body skin temperature of student and staff once in 3 minutes and alert the school admin Fig. 8. Architecture, High speed messaging, streaming and Timeseries big data
once temperature crosses prescribed (Configurable) value. Based in varied environmental condition, when the temperature returns to permissible limits, the alerts get auto closed for operational efficiency B.
Audit trails:
All Machine-to-Machine exceptions are audit trailed for future references and compliances C.
PLATFORM STACK ASSURING SCALABILITY WITH NEXT GENERATION SENSORS Multiple stages of data processing from Edge to Big data services deployable in any cloud environment. Scalability is the key as the upgrading sensor world. Support of protocols for addressing wellness sensors are provided and onboarding the sensors will be though simple schema driven activities making this platform as a marketplace for sensors
Alert presence in the Premise:
Monitor staff and student once in the classroom and alert on unavailability as per prescribed (configurable) time D.
Alert arm band removal:
During business-as-usual hours, any band being removed or band unavailable due to technical snag are alerted E.
Leaderboard dashboard:
Temperature anomaly detected, Band not worn, Gateway unreachable, Auto resolved F.
Fig. 9. Data Layer and micros service deployment model
Workforce management
For anomaly management with human intervention for exception management
TYPICAL COGNITIVE DICTIONARY FOR AUTO LEARNING The platform allows the administrative users to create the industry entity, branches and demography. Platform also allows bulk processing of people to be monitored for quick set up. There is also a rule-based decision support for exception anomaly alert management for transforming unstructured data into a standard operating exception along with audit trail management. Typical Exception anomaly alerts, boundary condition along with auto close with resolution based on past data-based prediction
Fig. 6. Intuitive FMS with auto alert creation
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INTERNATIONAL JOURNAL OF INNOVATIVE TECHNOLOGY AND CREATIVE ENGINEERING (ISSN:2045-8711) VOL.11 NO.8 AUG 2021
Fig. 10. Truth table for base dictionary to begin monitoring for auto regulation
ASSUMPTIONS HANDLING BEHAVIOURAL ANAMOLIES These are assumptions and mitigation as the intention of the platform to identify predictive anomalies-based body skin temperature. Technology platform is purposed for assuring wellness eco system with operational efficiency and does not involve healthcare and diagnostics 1. Detection of Asymptomatic is handled with additional monitoring of neighbours in trace who are non-asymptomatic and will emit higher body skin temperature along with TC4TL. It would take certain time up to 2 days in such cases to detect through anomalies 2. Body skin temperature is not to identify Covid or any other disease and is intended for early alert to be notified in a crowd that helps the decision makers to isolate the subject to involve healthcare experts at an early stage preventing spread due to TC4TL 3. Few individuals may have different normal body skin temperature and is automated with AI to set normal temperature post few iterations of monitoring based on environment 4. Configuration systems will allow the admin to intervene and set the boundary conditions
REFERENCES Designing thermoelectric generators for self-powered wearable electronics. https://pubs.rsc.org/en/content/articlelanding/2016/ee/c6ee 00456c#!divAbstract Novel Analytic Methods Needed for Real-Time Continuous Core Body Temperature Data. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5797491/ Low-Power, Digital Temperature Sensor With SMBus™. https://www.ti.com/lit/ds/symlink/tmp117.pdf?ts=16271313 87816&ref_url=https%253A%252F%252Fwww.google.co m%252F Digital Twin: Values, Challenges and Enablers From a Modelling Perspective. https://www.researchgate.net/publication/338869735_Digit al_Twin_Values_Challenges_and_Enablers_From_a_Mod eling_Perspective
CONCLUSION Assess and validate wellness of every visitor, student & employee at every access point and On-premise is a new normal beyond pandemic. Wellness onpremise with identity and opportunity to isolate a suspect detected with any anomalies with a predictive reference while protecting private information and compliance is the new digital identity that is monitored continuously
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