Title	::	Home Automation Using Iot: A Survey
Country	::	India
Authors	::	Shriya Salunkhe || Deepa Suryavanshi || Jagruti Keni || Trupti Shah
Page	::	01-04

Internet of things is now worldwide usage of any field .Home automation is extension of Internet to provide efficiency and comfort in regular life. Analyzing the current smart phone market, novice mobile users are opting for Android based phones. In the present times, we can find most of the people clinging to their mobile phones and smart devices throughout the day. Hence with the help of his companion – a mobile phone, some daily household tasks can be accomplished by personifying the use of an android application. Home automation gives an ability to control things around the home using the mobile application. A home appliance is a device or instrument designed to perform a specific function, especially an electrical device, such as a light, fan for household use. The worlds appliance and devices are used interchangeably.

 

Keywords: - Home automation, Database, Internet, Mobile application, Electrical appliances

[1] Charith Perera, Student Member, IEEE, Arkady Zaslavsky, Member, IEEE, Peter Christen,and Dimitrios Georgakopoulos, Member, IEEE "Context Aware Computing for The Internet of Things: A Survey". VOL 16, 2014.
[2] Vishwajeet Hari bhide, Dr.Sanjeev Wagh, IEEE "i-Learning IOT:An Intelligent Self Learning System for Home Automation Using IOT"April-2015,India.
[3] Shopan Dey, Ayon Roy, Sandip Das, IEEE "Home Automation Using Internet of Things",Pages 1-6,October-2016.
[4] Kumar Mandula, Ramu Parupalli, CH.A.S Murty, IEEE "Mobile Based Home Automation Using Internet of Things", Pages 340-343,May-2016.
[5] Ayush Pawar, Anandita Singh, Renu Kumawat, IEEE "Eyrie Smart Home Automation Using Internet of Things", Pages 1368-1370,July 2017.

Title	::	Impact of IT on Indian Economy
Country	::	india
Authors	::	Priya Borade || Sandesh Borade
Page	::	05-09

In the digital era, Information technology industry is now become one of the continuously growing sector of Indian economy. The information technology sector becomes the boon for employment for increasing populations of India. It helped in big way for providing the employment and reducing the unemployment in India. Information technology includes the software and services, Information Technology Enabled Services and hardware segments has steady rise in the growth in last few years. The purpose of the paper is to analyze the contribution of information technology in growth of Indian economy and its social impact, education and various sectors

Keywords: - Information Technology, Indian economy

[1] https://www.ibef.org/industry/information-technology-india.aspx
[2] https://nasscom.org/
[3] Information Technology and its Role in India's Economic Development: A Review, Nirvikar Singh,April 2014
[4] http://www.dqindia.com/dq-top-20-2017-meet-indias-top-20-it-companies/
[5] https://www.slideshare.net/syedmahmed/role-of-it-in-indian-economy.

Title	::	Personality Prediction By Discrete Methodology
Country	::	India
Authors	::	Gayatri Vaidya || Pratima Yadav || Reena Yadav || Prof.Chandana Nighut
Page	::	10-13

There is growing interest in personality traits by organization to better-Understand the diversity of responses of candidates to similar circumstances. Personality traits are the relatively enduring patterns of thoughts, feelings and behavior that reflect the tendency to respond in certain ways under certain circumstances. System will be constructed by first constructing a dataset consisting of photographs, quality factors, personality measurement and intelligence measurement for building an end to end network for personality prediction where self-reported personality traits can be predicted reliably from an image. Experimental results shows the personality traits of the candidate or a person i.e. imagination ability, creativity, leadership, capacity of mutual respect and many other traits.

 

Keywords: - Personality,personality traits,discrete.

[1] Barrick, M. R., & Mount, M. K. (1991). The Big Five personality dimensions and job performance: A meta analysis. Personnel Psychology, Vol. 44, pp. 1-26.
[2] Ree, M. J., & Earles, J. A. (1992). Intelligence is the best predictor of job performance. Current Directions in Psychological Science, Vol. 1, pp. 86-89.
[3] Schmidt, F. L., & Hunter, J. E. (1981). Employment testing: Old theories and new research findings. American Psychologist, Vol. 36, pp. 1128-1137.
[4] http://dspace.tiss.edu/jspui/bitstream/1/7047/1/Research-MethodologyMethods-and Techniques-by-CR-Kothari.pdf
[5] A Survey of Personality Computing, Alessandro Vinciarelli Member, IEEE, and GelarehMohammadi - http://people.ict.usc.edu/~gratch/CSCI534/Readings/persosurvey.pdf

Title	::	Machine Learning Under Attack: Literature Survey
Country	::	India
Authors	::	Aruna Pavate || Divya Kumawat || Suvrna Pansambal || Pranav Nerurkar || Dr. Rajesh Bansode
Page	::	14-18

Machine Learning is an area that carries many advantages with it for businesses that assume it. Machine Learning is a data exploration process which influences machine learning algorithms to repeatedly study from the present data and assist the machine to find hidden patterns without being programmed for. Most of the present machine learning classifiers are extremely exposed to adversarial examples. The study clearly indicates that Machine learning is of huge importance given in computer vision applications but it may possible to attack the machine learning algorithm so that it is necessary to design and develop different defense systems. This study directed the detailed study of the previous approaches and the comparative analysis among these approaches.

 

Keywords - Machine Learning, DEEP Learning, Security, adversarial attack, Neural Network.

[1] John C. Knight, Safety Critical Systems: Challenges and Directions, Proc. 24th Int'l Conf. Software Eng. pp. 547-550 2002.
[2] Vitaly Ford and Ambareen Siraj, Applications of Machine Learning in Cyber Security,7th International Conference on Computer Applications in Industry and Engineering, October 2014,
[3] Joseph Redmon and Ali Farhadi. Yolo9000: Better, faster, stronger, arXiv preprint arXiv:1612.08242, 2016.
[4] Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun. Faster r-cnn: Towards real-time object detection with region proposal networks, In Advances in neural information processing systems, pages 91–99, 2015.
[5] Alex Krizhevsky, IlyaSutskever, and Geoffrey E Hinton. Imagenet classification with deep convolutional neural networks. In Advances in neural information processing systems, pages 1097–1105, 2012.
[6] Karen Simonyan and Andrew Zisserman., Very deep convolutional networks for large-scale image recognition,arXiv preprintarXiv:1409.1556, 2014.

Title	::	Self Checkout System Using Image Detection
Country	::	India
Authors	::	Tanmay Singh || Keshav Yadav || Ketan Kandalkar || Priya Porwal
Page	::	19-23

Most of the current self-checkout systems rely on barcodes, RFID tags, or QR codes attached to items to distinguish products. This paper proposes an Intelligent Self Checkout System (ISCOS) embedded with a single camera to detect multiple products without any labels in real-time performance. The bounding boxes are annotated by background subtraction with a fixed camera to avoid time-consuming process for each image. The Database for storing the products is used to generate the bill. The contribution of this work is to combine deep learning and data mining approaches to real-time multi-object detection in image-based checkout system.

 

Keywords - Data mining, Deep learning, Multi-object detection, Self-checkout, Smart retail.

[1] Appearance-based Image recognition-https://classes.soe.ucsc.edu/cmpe264/Fall06/Lec20.pdf.
[2] Factors affecting the adoption of self-service checkout terminals in Slovenia." Information and Communication Technology, Electronics and Microelectronics(MIPRO), 2014 37th International Convention on. IEEE,2014.
[3] Feature-based Image recognition-http://www.massey.ac.nz/~rcflemme/feature-based%20object%20recognition.pdf.
[4] How to train YOLO-https://timebutt.github.io/static/how-to-train-yolov2-to-detect-custom-objects.

[5] Khurana P, Sharma A, Singh SN, Singh PK. A survey on object recognition and segmentation techniques. In Computing for Sustainable Global Development (INDIACom), 2016 3rd International Conference on 2016 Mar 16 (pp. 3822-3826) IEEE.

Title	::	Real Time Bus Tracking System
Country	::	India
Authors	::	Manish Chandwani || Bhoomika Batheja || Lokesh Jeswani || Praveen Devnani || Prof. Richard Joseph
Page	::	24-28

In the busy metropolitan cities, people don't have time to invest in waiting for transport. Waiting time for transport in such crowded cities leads to less productivity on a whole. People face this problem in their daily life where they have no idea about the current status of their transport. So the proposed solution is an android based application that will help the user to check out the current location of the bus and also will help the user to know how much time the bus will take to reach the current location of the user. The system will use IoT as the basis for the application and basic android application will be interfacing with the updated database to provide the real-time data to the user, hence enhancing the user-experience.

Key words: - Android Application, Enhancing, Interfacing, IoT, Proposed.

[1] B.Caulfield and M.O‟Mahony,"An examination of the public transport information requirements of users", IEEE Trans.Intell.Transp. Syst., vol. 8, no. 1, pp. 21–30, Mar. 2007.
[2] K.Rehrl,S.Bruntsch,andH.-J.Mentz,"Assisting multimodal travelers: Design and prototypical implementation of a personal travel companion," IEEE Trans. on Intelligent Transportation Systems, vol. 8, no. 1, pp. 31–42, Mar2007.

Title	::	Printease - A Smart Printing Application: Implementation
Country	::	India
Authors	::	Suren Sughand || Akshata Mohite || Simran Dembla || Deepika Khithani || Richard Joseph
Page	::	29-32

PrintEase - A Smart Printing Application is an android based application which is primarily built for common people so that they can avail printing service at their fingertips. The main purpose behind building this application is to save people's time and provide value added packages to all the users. Value added packages are generated by analyzing the order history and usage of application. By using Data mining concepts users behavior is analyzed. Particle Swarm Optimization (PSO) algorithm is a data mining algorithm that is used for data analysis and generation of packages.

 

Keywords - Data Mining, Particle Swarm Optimization (PSO), Data Analysis, Personal Best, Global Best.

[1] James Kennedy and Russell Eberhart. "Particle Swarm Optimization." 0-7803-2768-3/95/$4.00, 1995 © IEEE

[2] Rania Hassan et al. "A Comparison of Particle Swarm Optimization and the Genetic Algorithm." American Institute of Aeronautics and Astronautics

[3] V.Selvi and Dr.R.Umarani. "Comparative Analysis of Ant Colony and Particle Swarm Optimization Techniques." International Journal of Computer Applications (0975–8887) Volume 5–No.4, August 2010

[4] B.Booba and Dr. T.V.Gopal. "Comparison of Any Colony Optimization & Particle Swarm Optimization in Grid Environment." International Journal of Advanced Research in Computer Science and Applications Vol.1, Issue 5, November 2013 ISSN: 2321-872X-Online

[5] Mahmud Iwana, et al. "Performance Comparison of Differential Evolution And Particle Swarm Optimization In Constrained Optimization." International Symposium on Robotics and Intelligent Sensors 2012 (IRIS 2012) DOI: 10.1016/j.proeng.2012.07.317.

Title	::	Sustainable Agriculture Using Iot And Aquaponics
Country	::	India
Authors	::	Kalp Patel || Siddharth S.P || Akhil Patil || Deepali Maste
Page	::	33-38

A system to monitor an aquaponic farm and allowing automation to utilize sustainable farming with the added benefit of real-time data. The system comprises of various sensors that communicate over the internet and provide the live status of the farm regarding various parameters and provides the user with an option to manage the farm and take actions in response to it. Since implemented over an aquaponic farm user gets all the benefits that come with it. It utilizes NodeMcu as the communicator and aggregator of sensor data which is delivered to a web server and then this data can be visualized as required. The architecture is simple and can easily be replicated to a large-scale setup. It has the potential to help farmers manage various resources like water and also get insights regarding plant health for optimum productivity. The system is capable of enabling farmers to get the most out of their efforts.

Keywords – Aquaponics, Automated farming, IoT, Online farming, Sustainable farming.

[1] R. Hussain, JL Sahgal, Ansul Gangwar, and Md. Riyaj, ―Control of Irrigation Automatically By Using Wireless Sensor Network,‖ International Journal of Soft Computing and Engineering, Volume-3, Issue-1, March 2013.
[2] Pranita A. Bhosale, Prof. V. V. Dixit, ―Water saving-Irrigation Automatic Agricultural Controller,‖ International Journal of Scientific & Technology Research, Issue 11, December 2012 ISSN 2277-8616.
[3] J. Yick, B. Mukherjee, and D. Ghosal, Wireless sensor network survey, The International Journal of Computer and Telecommunications Networking, vol. 52, no. 12, pp. 2292–2330, Aug. 2008.
[4] Wang, N. Zhang, and M. Wang, ―Wireless sensors in agriculture and food industry—Recent development and future perspective,‖ Computers and Electronics in Agriculture, vol. 50, no. 1, pp. 1–14, Jan. 2006.
[5] D. Chaudhary, S. P. Nayse, and L. M. Waghmare, ―Application of wireless sensor networks for greenhouse parameters control in precision agriculture,‖ International Journal of Wireless & Mobile Networks, vol. 3, no. 1, pp.140–149, Feb. 2011.

Title	::	Smart Robotic Wheelchair Using Arduino And Bluetooth Module
Country	::	India
Authors	::	Rahul Jiwane || Priyanka Mahamunkar || Ritu Notani
Page	::	39-42

The proposed system describes the design of a smart, motorized and voice-controlled wheelchair using an embedded system. The system design depicts the "Smart Wheelchair" that supports voice activation system for physically disabled and old aged people by incorporating voice commands which would control the movement of the wheelchair. The voice command is given through a cellular device such as cell phone having Bluetooth and the command is transferred and converted to the string for Adriano and is transferred to the Bluetooth Module SR-4.0 connected to the Adriano board for the control of the Wheelchair. When the user says "Go" the chair will move in the forward direction, the chair would move in the backward direction for "Back" and similarly "Left", "Right" for rotating it in left and right directions respectively and "Stop" to stop the wheelchair. This system is designed and developed to save cost, time, energy and dependence on the others for the movements of wheelchair-using physically handicapped person.

 

Keywords - Wheelchair, Adriano, Voice Control, Bluetooth, Robotic.

[1] Azam, G., and M. T. Islam, Design and Fabrication of a Voice Controlled Wheelchair for Physically Disabled People, International Conference on Physics Sustainable Development & Technology (ICPSDT-2015), pp 80-90
[2] Skraba, Andrej, et al., Prototype of speech controlled cloud based wheelchair platform for disabled persons, 3rd Mediterranean Conference on. IEEE ,Embedded Computing (MECO), 2014, pp 162-165
[3] Klabi I., Masmoudi M.S., Masmoudi M., Advanced user interfaces for intelligent wheelchair system , 1st IEEE Conference on Advanced Technologies for Signal and Image Processing, Tunisia.2014, pp.130-136
[4] Alexandre A.G.,Martinazzo; Marcelo A. Jos´e Leandro C. Biazon, Irene K. Ficheman, Marcelo K. Zuffo, Roseli D. Lopes ,The Motion Assistant: engineering a Bluetooth-enabled power wheelchair, IEEE International Symposium on Consumer Electronics 2016
[5] Neal Seegmiller and Alonzo Kelly ,High-Fidelity Yet Fast Dynamic Models of Wheeled Mobile Robots, IEEE TRANSACTIONS ON ROBOTICS, VOL. 32, NO. 3, JUNE 2016.

Title	::	A Web-Based Application For Merging XML Files
Country	::	India
Authors	::	Arko Sarkar || Saurabh Patil || Shubham Sharma || Neha Kunte
Page	::	43-46

Today various applications are developed which are performing various complex operations simultaneously. Now, it is not important what applications are being developed, rather the importance here is what data is being used, and how these data are stored. So the main aim in every type of applications is to reduce the overall time and space complexities.
XML plays an important role in these type of web applications. XML document comparison becomes a central issue in database and information retrieval, during development of application. Many heterogeneous XML sources have similar content and different structures or vice-versa. Hence to centralize all related information about a topic, merging of XML files according to certain standards is of greatest need and many solutions are emerging...............

 

Keywords - Clustering, Data analysis, Similarity Score, XML, XRel Schema.

[1] JiSim Kim, Wol Young Lee, KiHo Lee , "The Cost Model for XML Documents in Relational Database Systems", in Computer Systems and Applications, ACS/IEEE International Conference on. 2001
[2] Sarvadee Sae Tam and Gae Keng Hoon, "An Efficient Similarity Matching for Clustering XML Element," in 2016 Third International Conference on Information Retrieval and Knowledge Management
[3] W. Viyanon, MXML: Implementation of a Web-based Application for Merging XML Documents using XML-SIM, in ICT and Knowledge Engineering (ICT & Knowledge Engineering 2015), 13th International Conference.
[4] M. Yoshikawa, T. Amagasa, T. Shimura, and S. Uemura, "XRel: a path-based approach to storage and retrieval of XML documents using relational databases," ACM Transactions on Internet Technology, vol. I, no. I, pp. 110-141, 2001.
[5] W. Viyanon, S. K. Madria, and S. S. Bhowmick, "XML data integration based on content and structure similarity using keys," in On the Move to Meaningful Internet Systems: OTM 2008. Springer, 2008, pp. 484-493.

Title	::	Automatic Visualization of Descriptive Text
Country	::	India
Authors	::	Dharmit Viradia || Ajay Singh Thakurathi || Dhavalkumar Sonavaria || Apeksha Waghmare
Page	::	47-51

We analyze the case of putting forth a interface for generating 3D scenes from input texts. The component of natural language understanding is framed as a problem of semantic parsing, in which a structured representation of input texts is created and then linking it together for a meaningful representation of scenes in space. We incorporate a dataset of 3D objects that are recorded with natural language texts and learn how to generate 3d scenes from descriptive texts. This system renders 3D scenes for a correct user input by analyzing text parameters and also allows user to interact with the generated scene.

[1] Angel Chang , Will Monroe, Manolis Savva, Christopher Potts and Christopher D. Manning, Stanford University, Stanford, CA 94305." Text to 3D Scene Generation with Rich Lexical Grounding" at Stanford University.
[2] Sneha N. Dessai, Dhanaraj . "Creation of 3D Scene from Raw Text" IEEE International Conference On Recent Trends In Electronics Information Communication Technology, May 20-21, 2016, India.
[3] Speech and Language Processing. Daniel Jurafsky & James H. Martin. Copyright c 2016. All rights reserved. Draft of August 7, 2017.
[4] Will Monroe,"3D Scene Retrieval from Text with Semantic Parsing",Stanford University,Computer Science Department ,Stanford, CA 94305, USA.

Title	::	Intelligent Autonomous Six Legged Robot Operate On Uneven Surfaces
Country	::	India
Authors	::	Rahul Jiwane || SayaliBhagat || SamitaBhusare || Aruna Pavate
Page	::	52-55

This paper presents design and development of an intelligent robot that easily operates on uneven surfaces with six-legged arms. The system design depicts the "Intelligent Robot" that supports voice activation system as well as operates through the keyboard. Legged robots are appropriate to stroll on troublesome landscapes to the detriment of requiring complex control frameworks to walk even on level surfaces. Be that as it may, essentially strolling on a level surface does not merit utilizing a legged robot. It ought to be expected that strolling on an unexpected landscape is the run of the mill circumstance for a legged robot. In view of this commence, we have built up a vigorous controller for a six-legged robot that enables it to stroll over troublesome landscapes in a self-sufficient route; with a constrained utilization of tactile data (no vision is included). This walk controller can be driven by an upper level which requires not be worried about the subtle elements of foot arrangement or leg movements, taking consideration just of abnormal state angles.

 

Keywords - Keyboard, Adriano, Voice Control, Bluetooth, Robotic.

[1] Brooks, R.A. (1986): \A Robust Layered Control System for a Mobile Robot", IEEE Journal of Robotics and Automation, vol. RA-2, No. 1, pp. 14-23, March.
[2] http://www.archives.upenn.edu/histy/features/muybridge/muybridge.html
[3] Ryushi Aoyagi, Yoshihiro Homma, Kazuyuki Ito, Six-legged robot capable of climbing various columnar objects, Proceedings of the 2017 International Conference on Advanced Mechatronic Sytem,Xiamen,China,December 6-9 IEEE 2017,pp24-29
[4] G. Sumbre Y. Gutfreund G. Fiorito T. Flash and B. Hochner, "Control of Octopus Arm Extension by a Peripheral Motor Program," Science, Vol.293, No. 5536, pp.1845-1848, 2001.
[5] Y. Gutfreund, T. Flash, G. Fiorito, and B. Hochner, "Patterns of Arm Muscle Activation Involved in Octopus Reaching Movements," Journal of Neuroscience, Vol. 18, No. 15, pp. 5976-5987,1998.

Title	::	Automated Essay Grading System
Country	::	India
Authors	::	Janam Sarmalkar || Mohid Shaikh || Shivam Samaleti || Foram Shah
Page	::	56-59

Proposed Work Aims To Study An Intelligent Essay Recommender And Grader Using Nlp Techniques. A Data Set Can Be Acquired And The Grading Engine Will Be Used To Grade The Essays. An Enhancer Will Be Constructed Which Will Help Students Improve Their Essays. It Is An Interesting Topic Based On Machine Learning And Can Be Used To Make Quality Education More Achievable. The Predictions Will Closely Match Human Analysis. The Grading System Model Will Be Trained Using Word Features And Essay Statistics From The Various Essays Procured From The Data Set.

 

Keywords - Essay Grading, Recommendation System, Natural Language Processing, Student Writing.

[1] Page, E., Shermis, M. D., Lavoie, M. J., Marsiglio, C. C., Kock, M. M., Fogel, M. (1995). Computer Grading Of Essays. Address For Apa Annual Meeting.

[2] Peter W. Foltz, Darrell Laham And Thomas K Landauer - Department Of Psychology, New Mexico State University. Automated Essay Scoring: Applications To Educational Technology

[3] Margaret Rouse, "What Is Natural Language Processing (Nlp)?" Search Business Analytics. [Online]. Available: Http://Searchbusinessanalytics.Techtarget.Com/Definition/Natural-Language-Processing-Nlp [Accessed: Mar. 14, 2018].

[4] Susan Sanders, Tom Dotz And Tom Hoobyar, Nlp: The Essential Guide To Neuro-Linguistic Programming, Original Edition, William Collins, 2013.

Title	::	Application software using IoT sensors for vehicles parking
Country	::	India
Authors	::	Hardik Joshi || Tushar A. Kamble || Prof. Foram Shah
Page	::	60-64

In the modern scenario parking and traffic jams in metropolitan cities have become a common problem, the number of vehicles being seen on city roads have increased to a large extent and because of this it has become more problematic for the vehicle users as they are not able to park their vehicles due to the limited spaces. The cost for parking expansion is usually prohibitive or extremely high. There is a need of an application based solution that uses IOT sensors, IOT data integration and GPS to guide the people for the best available parking spot. At the same time the application should flag an alarm to security personals when there is disobedience of parking rules in the metropolitan cities. In this paper we propose the system of technologies which can be used to solve the above stated problem by making the application system automated, easier and faster in the coming future. Use of RFID technology, Ultrasound sensors, Raspberry Pi, CoAP, NFC can be done avoid the human interaction which minimizes the cost.

 

Keywords - Internet of Things, Near Field Communication (NFC), RFID, Smart Parking, Wireless sensors.

[1] Devendra S., Adarsh S. and Mohit B., "A Review on Smart Parking System for Smart Cities" in SSRG International Journal of Civil Engineering (SSRG-IJCE) – volume 3 Issue 5 – May 2016.
[2] Abhirup Khanna, Rishi Anand, "IoT based Smart Parking System", in International Conference on Internet of Things and Applications Maharashtra Institute of Technology, Pune, 22nd Jan to 24th Jan 2016.
[3] Vishwanath Y., Aishwarya D. and Debarupa R., "Survey paper on Smart Parking System based on Internet of Things" in International Journal of Recent Trends in Engineering & Research (IJRTER), Volume 02, Issue 03; March - 2016.
[4] Trista L, Hervé R., and Frédéric Le M., "A Survey of Smart Parking Solutions" in IEEE Transactions on Intelligent Transportation System, Vol. 18, No. 12, December 2017.
[5] http://nptel.ac.in/courses/106105166/

Title	::	Employee Café Management System Using NFC
Country	::	India
Authors	::	Sneha Naik || Riya Kanani || Hiral Oza || Prof.Chanda Chouhan || Prof Charmi Chaniyara
Page	::	65-67

Near Field Communication is the latest technology which will change many aspects of everyday life in order to provide different solution to payment and ticketing where NFC could be utilized. NFC technology grown from RFID includes many RFID standard and standards for NFC tags. Smartphones usage have emerged a lot in the past few years. In this thesis, we offer the enforcement of RFID tags in the identification card which an NFC enabled Smartphone will identify. The purpose of this research is to give a second opinion regarding the possibilities of m-payments through NFC and the barriers to overcome to make this a reality................

 

Keywords - Near Field Communication, Online Payment, RFID, Smartphone.

[1] GSMA (2007), "Pay-Buy-Mobile Business Opportunity Analysis", Public White Paper, London.z
[2] NFC Forum (2008), "Essentials for Successful NFC Mobile Ecosystems", Wakefield, USA.
[3] C. Arango, V.Taylor (2008-2009),'"Merchants Costs of Accepting Means of Payment: Is Cash the Least Costly?", Bank of Canada\ Review, Issue: Winter.
[4] https://developer.android.com/index.html
[5] IMS Research; "Operators Need to Look at the Bigger Picture for NFC" (http://www.marketresearchworld.net)
[6] Asawari Dudwadkar, Akhil Gore, Tushar Nachnani and Harshil Sabhnani, "Near Field Communication in Mobile Phones", International Journal of Engineering and Advanced Technology (IJEAT) ISSN: 2249 – 8958, VOL.3, Issue-1, Oct 2013.

Title	::	Automatic Protection System And Risk Mitigation In Railway Using PLC
Country	::	India
Authors	::	Vishal Kharote || Neha Bansal || Prashant Palkar || Akshay Penta || Shubham Mhatre
Page	::	68-71

This Paper Presents An Automatic Railway Protection System By Controlling And Monitoring The Train Movements Using PLC. Nowadays Even Though Automation Plays A Vital Role In Almost All Areas But Still Railway Protection And Control System Is Not Completely Automated. Currently The Railway Network Protection Parameters Like Gate Control, Identifying Track Cracks, Track Collision, Grade Crossing, Traffic Light Indication Etc. Are Controlled Individually Either Manually Or Semi-Automatically By Their Respective Processes. Even Then A System To Control All Parameters Simultaneous Does Not Exist To Ensure Safety Operation And At The Same Time The Entire Control Is Given Only From Control Room Using Embedded Technology Which Is Tedious In Monitoring And Providing Required Control Under Critical Situations. To Overcome These Problems, The Proposed Research Provides Both Monitoring And Control Of All The Above Said Parameters With The Provision Of Issuing Automatic Control In The Locomotive Itself Using PLC.

 

Keywords - Programmable Logic Controller (PLC), Automatic Protection, Level Crossing (LC), Track Crack, Collision, Grade Crossing, Anti-Collision.

[1] Mohamed Ghazel And El-Miloudi El-Koursi, "Two-Half-Barrier Level Crossings Versus Four-Half-Barrier Level Crossings:
A Comparative Risk Analysis Study", IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, VOL. 15, N O . 3, JUNE 2014.
[2] Ahmed Mekki, Mohamed Ghazel, And Armand Toguyeni, "Validation Of A New Functional Design Of Automatic Protection Systems At Level Crossings With Model-Checking Techniques",IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, VOL. 13, N O . 2, JUNE 2012
[3] [3]Junfeng Wang, Jungang Wang, Clive Roberts, And Lei Chen, "Parallel Monitoring For The Next Generation Of Train Control Systems", IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, VOL. 16, N O . 1, F EB RUARY 2015
[4] Baisi Liu, Mohamed Ghazel, And Armand Toguyéni, "Model-Based Diagnosis Of Multi-Track Level Crossing Plants", IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, VOL. 17, NO. 2, FEBRUARY 2016
[5] Junfeng Wang, Yuanjing Li, And Yong Zhang, "Research On Parallel Control Mechanism And Its Implementation In ATP", IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, VOL. 17, NO. 6, JUNE 2016

Title	::	Smart Classroom: Real Time Feedback Using IOT
Country	::	India
Authors	::	Nida Parkar || Bhavna Arora || Pritirumao || Tejalrachh
Page	::	72-79

We Live In An Era Where Billions Of Computers Are Interconnected. In The Very Near Future, Not Only Computers But Also Many Different Digital Devices And Other Physical Objects Will Be Seamlessly Connected To Each Other And Be Able To Communicate With Little Or No Human Intervention. These Connected Objects Are Called Smart Devices, And This Perceptionis Called Internet Of Things. In This Paper, The Focus Is On The Application Of Iot In The Smart Classrooms. The Aim Of The Paper Is To Discuss How Intelligent Ambient Can Be Used To Provide Real- Time, Automatic Feedback On The Quality Of The Lecture Based On The Number Of Parameters. To Our Knowledge, This Is The First Attempt To Specify The Problem And Analyze The Requirements. The Parameters Of Interest That Should Be Collected And Analyzed Are Discussed. Finally, The Main Requirements That Such A System Should Comply With Are Presented And Proposed As The Experimental Design.

 

Keywords - Internet Of Things, Smart Classroom; Wireless Sensor Networks

[1] International Telecommunication Union 2005, The Internet Of Things, ITU Internet Reports. Available At: ttp://Www.Itu.Int/Osg/Spu/Publications/Internetofthings/Internetofthings
_Summary.Pdf
[2] D. Giusto, A. Iera, G. Morabito, L. Atzori (Eds.), "The Internet Of
[3] Things", Springer, 2010.

Title	::	Earlyinfrastructureofaninternetofthingsinspacesforlearning
Country	::	India
Authors	::	Tejal Rachh || Priti Rumao || Bhavnaarora || Nida Parkar
Page	::	80-82

ThedeploymentofmobileandubiquitousComputinginsmartobjectsintroducesthencptofAninternetofthingsw..........

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