AN INTELLIGENT INTERNET-OF-THINGS (IOT) SYSTEM TO DETECT AND PREDICT AMENITY USAGE
Solomon Cheung1 , Yu Sun1and Fangyan Zhang2, 1California State Polytechnic University, CA 2ASML, San Jose, CA
As an act of disposing waste and maintaining homeostasis, humans have to use the restroommultiple times a day. One item that is consumed in the process is toilet paper; it often runsout easily in the most inconvenient times. One of the most fatal positions to be in is to bestuck without toilet paper. Since humans are not capable of a 100% resupply rate, weshould give this task to a computer. The approach we selected was to use a pair of lasersensors to detect whether toilet paper was absent or not. Utilizing an ultrasound sensor, wewould be able to detect whether a person was nearby and send a notification to a database.The online app, PaperSafe, takes the information stored and displays it onto a device forquick access. Once a sufficient amount of data is acquired, we can train a machine learningalgorithm to predict the next supply date, optimized for the specific scenario.
Amenity, Homeostasis, Machine Learning, Mobile Application
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https://aircconline.com/csit/papers/vol9/csit91705.pdf
A SMART SOLAR PV MONITORING SYSTEM USING IOT
V.Kavitha1 and V.Malathi2 1,2Anna University Regional Campus, India
Renewable energy sources are proven to be reliable and accepted as the best alternative forfulfilling our increasing energy needs. Solar photovoltaic energy is the emerging and enticingclean technologies with zero carbon emission in today's world. To harness the solar powergeneration, it is indeed necessary to pay serious attention to its maintenance as well asapplication. The IoT based solar energy monitoring system is proposed to collect and analyzesthe solar energy parameters to predict the performance for ensuring stable power generation.The main advantage of the system is to determine optimal performance for better maintenanceof solar PV (photovoltaic). The prime target of PV monitoring system is to offer a cost-effectivesolution, which incessantly displays remote energy yields and its performance either on thecomputer or through smart phones. The proposed system is tested with a solar module of 125-watts to monitor string voltage, string current, temperature, and irradiance. This PVmonitoring system is developed by a smart Wi-Fi enabled CC3200 microcontroller with latestembedded ARM processor that communicates and uploads the data in cloud platform with theBlynk application. Also the Wireless monitoring system maximizes the operational reliability ofa PV system with minimum system cost.
Solar PV, Internet of Things, Mobile Application, Online Monitoring
For More Details :
https://aircconline.com/csit/papers/vol9/csit91502.pdf
EDUCATIONAL APPROACH TO THE INTERNET OF THINGS (IOT) CONCEPTS AND APPLICATIONS
Rajeev Kanth1, Tuomas Korpi1, Arto Toppinen1, Kimmo Myllymäki1,Jatin Chaudhary2 and Jukka Heikkonen2 1Savonia University of Applied Sciences, , Finland 2University of Turku, Finland
The term “Internet of Things (IoT)” and its ecosystem is expanding very rapidly, and therefore,it has become complicated to capture the actual definition of ‘IoT.’ This has created numerouschallenges and complications for the students looking forward to achieving accurateperception. This paper is presented with an insight to educate the audiences who do not havesufficient knowledge of the Internet of Things (IoT). The scope of this paper expands from theconcepts of Information Technology, Digitalization, Wireless Networking, and sensortechnologies to the broad arena of IoT. A simple and easily understandable explanation of IoTincluding applications and impacts to the society has been proposed. This paper exhibitspresent state-of-the-art experimental research outcomes as extended examples for the reader todevelop a comprehensive conceptualization of IoT. Finally, after going through this paper, alayman who does not have any specific knowledge in this field, do build the concepts andunderstands the advancements behind the buzzword, “IoT.”
Internet of Things; Things-to-Things Connectivity; IoT Applications
For More Details :
https://aircconline.com/csit/papers/vol9/csit91320.pdf
A SYSTEMATIC EVALUATION OF MANET ROUTING PROTOCOLS OVER UDP AND TCP IN MULTI-HOP WIRELESS NETWORK
Adebayo Seyi1 and Ogunseyi Taiwo2 1China University of Mining and Technology, China 2Communication University of China, China
There are genuine concerns for the right transport connection to be deployed on a particular routing protocol in order to have a reliable, fast and robust communication in spite of the size and the dynamics of the mobile ad-hoc network (MANET) topology. This paper comparatively studies the individual implementation of reactive and proactive protocols on both UDP and TCP transport connection using packet delivery ratio (PDR), throughput, end to end delay and delay variation (jitter) as quality of service (QoS) metrics. We studied the combination of both the transport connection and routing protocol that will deliver the best QoS in simple and complex network scenarios with source and destination nodes fixed and the intermediate nodes randomly moving throughout the simulation time. More so, the intrinsic characteristics of the routing protocols regarding the QoS metrics and transport connection are studied. Forty simulations were run for simple and complex multi-hop network models and the results were analyzed and presented.
MANET, Proactive, Reactive, QoS, UDP, TCP
For More Details :
https://aircconline.com/csit/papers/vol9/csit91717.pdf
AN INTELLIGENT INTERNET-OFTHINGS(IOT) DOOR BELL SYSTEM FOR SMART NOTIFICATION ALERT
Melissa Qian1, Yu Sun2 and Fangyan Zhang3 1Northwood High School, CA , 2California State Polytechnic University,Pomona, CA 3ASML, San Jose, CA
This paper presents an innovative redesign of a doorbell system in order to eliminateunnecessary ringing noise from users’ daily life. Employing artificial intelligence for facerecognition, the IoT doorbell system define the visitors as complete strangers or someone who isexpected. The next step operates based on this result; the doorbell system will either ring orsend out notification to the users’ phone depending on the familiarity of the visitor and the user.
Machine Learning, Deep Learning, Artificial Intelligence, Wireless Network
For More Details :
https://aircconline.com/csit/papers/vol9/csit91205.pdf