iosr-JECE   Volume-14 ~ Issue-3 ~ May-June 2019

Abstract: We are in a world which is blessed by modern technologies and smart structures that help us in our everyday life by making us familiarized with the invention in computing systems, computerization, artificial intelligence and so on. The world has seen an outbreak of smart systems in the last decade. To keep a significant contribution to the modern technological use, our proposed system enhances the growing need of smart systems. In this paper, a design of self-position aligning chair combined with the features of self-parking independent robot has been proposed. It diminishes both human efforts and time consumption in the process of furnishing and beautifying a conference room. Experimental results showed that the proposed model is more economical and affordable than the systems available till date. This work improves our lifestyles by reducing human efforts, saving time and also by maintaining more attractive working places.

Index Terms - Arduino Uno; smart raspberry Pi board, meeting room; self-position aligning chair; object recognition; obstacle finding and escaping; image processing; automation and robotics.

[1] Self-parking chairs at conference tables show Nissan's auto push by Nancy Owano Self-parking chairsat conference tables show Nissan's auto push (2016, February 15) retrieved 23 February 2018 from https://techxplore.com/news/2016-02-self-parking-chairs-conferencetables-nissan.html
[2] Nissan's self-parking office chair is here to make your Monday better
[3] Automatic Parking Vehicle System Ms. Hong Hong Liu
[4] RF transmitter and receiver from https://circuit digest.com/ electronic-circuits/ rf-transmitter-and-receiver-circuit-diagram/
[5] LEDBlinkingusing8051microcontroller–AT89c51 from https://electrosome.com/led-blinking-8051-microcontroller-keil-c-tutorial-at89c51/

Abstract: An ad hoc network is a dynamic collection of mobile nodes forming a network. It works in infrastructure less environment. As mobile ad hoc network applications are deployed, many issues become vital such as routing stability, end to end delay, security and power. There are various routing protocols available for MANETs. The most popular ones are DSDV and AODV. In this work, an attempt has been made to compare these two protocols on the basis of performance basis under different environments. The comparison has been done under the CBR, FTP payload. The tools used for the simulation are NS2 which is the main simulator, NAM (Network Animator) and Tracegraph..........

[1] Y. Bing Lin and I. Chlamtac, "Wireless and Mobile Network Architectures", Wiley, 2001.
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[4] S. Giordano, "Mobile Ad-hoc Networks," in XXX , Wiley, 2000.
[5] C. E. Perkins (Ed.), Ad Hoc Networking, Addison-Wesley Longman, 2000..

Abstract: Sun is an important source of renewable energy which plays a keen role in the management of energy. The photovoltaic panel can last for 20 years and produce 80 percent of the rated power after 20 years of use. The few reasons responsible for the damage of solar panel are manufacturing defects and inconvenience condition of the environment which directly affects the productivity of the solar system. So, to improve the performance of the solar panel it is highly recommended to monitor the parameters and the condition of the panel continuously from the remote area using IOT as on spot monitoring of panel is difficult for the person . The parameters to be monitored are radiation intensity, voltage, current, dust. But the next thing is only monitoring of the solar panel is not feasible to.........

Keywords: PV Panels, Condition Monitoring and Controlling, RES, Sensors, ESP32, Cloud, IoT.

[1] J.Laxmi Prasanna, D.Lavanya "Condition Monitoring of a Virtual Solar System using IoT" Proceedings of the 2nd International Conference on Communication and Electronics Systems (ICCES 2017) IEEE Xplore.
[2] Agbetuyi Ayoade Felix, Orovwode Hope, Olowoleni Joseph, Nwangwu Chukwuebuka "Design and Implementation of a Solar Energy Measurement and Monitoring System" 2018 IEEE PES/IAS Power Africa (Postgradute Forum)
[3] Sushrut Nagesh Kulkarni, Maithilee Nagesh Kulkarni "Automation of Solar Panel Assessment System" Proceedings of the 2nd International Conference on Communication and Electronics Systems (ICCES 2017) IEEE Xplore.
[4] Mayuri Ejgar, Dr. Bashirahamad Momin "Solar Plant Monitoring System: A Review" Proceedings of the IEEE 2017 International Conference on Computing Methodologies and Communication (ICCMC)
[5] Haider-e-Karar, Aziz Altaf Khuwaja, Abdul Sattar "Solar Power Remote Monitoring and Controlling Using Arduino, LabVIEW and Web browser" ©2015 IEEE..

Abstract: In this day and age the majority of the general population is experience the ill effects of bunches of illnesses and they use medication to improve their wellbeing however some patient like older folks need steady help which the vast majority of the relative can't give so as to assist them with this obligation we have built up this venture. The principle normal for this framework to remind the patient to take prescription in time just as refilled confine time and can educate.......

Keywords: Internet of Things, Medicine Box, Arduino, Mobile Application

[1]. NijiyaJabinNajeeb PK, Ayesha Rimna, Safa KP, Silvana M., Mr. AdarshTK "Pill Care- The Smart Pill Box with Remind, Authenticate and Confirmation Function" Proceeding of 2018 International Conference On Emerging Trends and Innovations in Engineering and Technological Research(ICETIETR).
[2]. Hiba ZEIDAN, Khalil KARAM, Roy ABI ZEID DAOU, Ali HAYEK, Josef BOERCSOEK, MART Learning, Education and Research Center "Smart Medicine Box System" 2018 IEEE International Multidisciplinary Conference On Engineering Technology (IMCET).
[3]. Naga Swetha R, Mahendar, Roopsingh, Chinna "SMART PILL BOX USING IOT" 2393-8374, (ONLINE): 2394-0697, VOLUME-5, ISSUE-4, 2018, INTERNATIONAL JOURNAL OF CURRENT ENGINEERING AND SCIENTIFIC RESEARCH (IJCESR).
[4]. WissamAntoun, Ali Abdo and Suleiman Al-Yaman, AbdallahKassem, Mustapha Hamad and Chady El-Moucary "Smart Medicine Dispenser (SMD)" 2018 IEEE 4th Middle East Conference on Biomedical Engineering (MECBME).
[5]. Shih-Chang Huang, Hong-Yi Chang, Yu-Chen Jhu, Guan-You Chen," The Intelligent Pill Box - Design and Implementation" 2014 IEEE.

Abstract: India has no plans to lag in the race of equipping nations armed forces with up-to-date artificial intelligence and robots. The Centre for Artificial Intelligence and Robotics is a laboratory of Defense Research and Development Organization, leading research in artificial intelligence for India. The organization has already developed myriad of robots with varying applications. The Centre for Artificial Intelligence and Robotics has been working on a project to develop a Multi Agent Robotics Framework for more than eight months now. The Multi Agent Robotics Framework will equip India's armed forces with an array of robots that can function as a team, in a fashion similar to what our soldiers do. The Artificial Intelligence-powered multi-layered architecture is capable.........

Keywords: RF 2.4GHz Multi-Channel Remote, Rhino Robot Controller, Motor Driver, Gear Motor, PVC Pipes, PVC Joints, Battery, Robotic Wheels.

[1]. R. Zhang, 2014, Design and Implementation of an Autonomous Climbing Vehicle, A dissertation submitted to the Department of Computer Science and the Committee on Graduate Studies of Stanford University in partial fulfillment of the requirements for the Degree of Doctor of Philosophy, Stanford University, Stanford
[2]. R.K. Das, A. Upadhyay and R.K. Garg, , 2017, An Unmanned Tracked Vehicle for Snow Research Applications, Defence Science Journal, Vol. 67, No. 1, January 2017, pp.74-79, DOI: 10.14429/dsj.67.8952, DESIDOC
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[4]. https://www.networkworld.com/article/2234308/nasa-fashions-mountain-climbing-robot.html
[5]. https://www.intorobotics.com/18-extreme-all-terrain-robots/.

Abstract: One of the major problems in our educational institutions is the process of taking manual attendance which is very much time consuming. It is difficult to manually take and then maintain the attendance of such a large number of students efficiently in a school or a college. Also there is a greater possibility of providing a fake attendance by a student which is many a time inconvenient to figure out. Thus, there are various technologies available for developing a well organized attendance management system to minimize these issues. This includes Barcode, Smart card, Biometric and Radio Frequency Identification (RFID) technologies. Out of them RFID is comparatively faster than barcode and smart card system and cheaper than biometric system. Thus, our main goal is to solve the problems......

Keywords: RFID Tags and RFID Reader, Intel Edison with Arduino Breakout Board, Node Express Server, MongoDB Database

[1]. Prof. K.K. Pandey, Snehal Shivaji Dumbre, Ketaki Arvind Kulkarni, Janhavi Raju Raikar, Vrushali Nandkumar Uplekar, RFID Based Smart Attendance System, International Journal for Research in Applied Science & Engineering Technology (IJRASET) ISSN: 2321-9653; IC Value: 45.98; SJ Impact Factor: 6.887 Volume 6 Issue V, May 2018
[2]. Pushpa S. Gagare., Priyanka A. Sathe, Vedant T. Pawaskar., Sagar S. Bhave, Smart Attendance System, International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169 Volume: 2 Issue: 1 124 – 127
[3]. Mahesh Sutar, Mahesh Patil , Sachin Waghmare, Smart Attendance System Using RFID In IOT, ISSN: 2278 – 1323 International Journal of Advanced Research in Computer Engineering & Technology (IJARCET) Volume 5, Issue 4, April 2016
[4]. https://www.intel.in/content/www/in/en/support/articles/000006090/boards-and-kits.html
[5]. https://www.intel.com/content/dam/support/us/en/documents/edison/sb/edisonarduino_hg_331191007.f.

Abstract: One of the goals of '' Dynamic Digital Assistant ''is boon for everyone in this new era of 21st century. It has develop for new technology where we can ask question to smart speaker and can interact with IVAs as people do with human. This new technology attracted almost world wide in many ways like smart phone, laptop , computer etc. The purpose of this paper is to interacting between smart speaker and user through the voice command and voice instruction using Raspberry Pi. In this system the two digital assistant operate on a single raspberry pi. Basically python language is used in this system. The main object of this system is to provide the voice information to the user. By using the Google assistant or Alexa through the USB speaker or USB microphone in real time mode. In this paper we can operate or control some home automation system by giving voice command to the system. Electric bulb or other electronic device can handled.

Keywords: USB Speaker , USB microphone , Raspberry Pi , Router , ESP8266 , Relay, IoT.

[1]. Amrita s. Tulshan and Sudhir Namdeorao Dhage "Survey on Virtual Assistant : google Assistant,Siri,Cortana,Alexa". © Springer Nature Singapore Pte Ltd. 2019 S. M. Thampi et al. (Eds.): SIRS 2018, CCIS 968, pp. 190–201, 2019. https://doi.org/10.1007/978-981-13-5758-9_17
[2]. Chan Zhen Yue and Shum Pig, "Voice activated Smart home design and implementation".2nd international 2017 conference on frontiers of sensor technology 978-1-5090-4860-1/17/$31.00 ©2017 IEEE
[3]. Achal S Kaundinva,Nikhil S P Atreyas,Smrithi Srinivas,Vidhya Kehav,Naveen Kumar "Voice enabled home automation using Amazon echo" "International Research Journal of Engineering and Technology (IRJET)Volume:04Issue:08August-2017".e-ISSN:2395-0056 p-ISSN:2395-0072
[4]. G.Ashwini,M.Nithish Reddy, R.Paramesh,P.AKHIL "An intelligent virtual assistant using raspberry pi "
[5]. Nidhi Singh Intelligent Assistant for Controlling Iot Devices IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE) e-ISSN: 2278-1676,p-ISSN: 2320-3331, Volume 13, Issue 4 Ver. I (Jul. – Aug. 2018), PP 30-35.

Abstract: This paper presents the enhance in bandwidth of a Microstrip patch Antenna using an irregular polygon (M shape)and using U slots technique for enhancing bandwidth for broadband and fed by Microstrip line using coaxial probe. The main aim of proposed work is to obtain a Hues bandwidth and the size of antenna is reduced. The proposed microstrip antenna has a wide bandwidth, the range from3.30-6.85 GHz. The wide bandwidth achieved 71% and the VSWR is less than 2 .The other parameters are as our research requirements antenna simulated on the Zeeland IE3D software.

[1]. Thomas A. Milligan "2nd addition Modern antenna design"pp: 318-354.
[2]. Maci S Biffi G & Gentili, Dual frequency patch antennas, IEEE Trans Antennas Propag (USA), 39 (1997) 13.
[3]. Z. L. Dafalla, W. T. Y. Kuan, A. M. Abdel Rahman, and S. C. Shudakar, "Design of a Rectangular Microstrip Patch Antenna at 1GHz", Rf And Microwave Conference, October 5 - 6- 2004 ,Subang, Selangor, Malaysia
[4]. Bahl, I.J. and Bharatia, P. Microstrip Antennas, Artech House, 1980.
[5]. C.Y. Chiu, C.H. Chan and K.M. Luke , "Study of slotted microstrip patch antennas with folded patch feed ", Microwave Antenna s propagation., vol. 152, no. 5, october 2005.

Abstract: Moving object detection can be done by various methods like Background subtraction, frame differencing, optical flow method etc. All these are traditional methods which are widely used for moving object detection. Some of these traditional methods are based on assumption that background is stationary; and hence they cannot be applied to dynamic background i.e. changing background, whose background images change over time. Multiple color space histogram model is a great remedy to this problem. At first, this model converts each frame of a video sequence from RGB to HSV color space and then calculates the histogram of selected color components. Then we can detect an object using histogram superposition principle. At last, we can update MCSHM using the result of detection.

Keywords: dynamic background, moving object detection, histogram superposition principle, Multiple color space histogram model.

[1]. L.Jinping G.Yukun M.Liwen MCSHM: A Simple and Practical Method for Moving Objects Detection in Dynamic Scenes.
[2]. Snehal Shirke, S.B. Jadhav. A brief review of methods of moving object detection challenges and shortcomings. IJRASET Volume 7 Issue II (Feb 2019). 507-513
[3]. Liu, G., You, Y., Zheng, S., Li, F. Moving Target Detection Based on Improved Mixture Gauss Model. Springer Berlin Heidelberg (2012)
[4]. Wang, S.C., Su, T.F., Lai, S.H. Detecting moving objects from dynamic background with shadow removal. In: 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). (2011) 925–928
[5]. Dewan P.,Kumar R. Detection of object in motion using improvised background subtraction algorithm.ICEI2017.

Abstract: This Paper seek to investigate the simulation techniques used for wireless communication systems The aim of the research is to provide a comprehensive list of various Network Simulators (General Purpose Simulators and Specific Simulators) which are available for researchers to do advanced research on Wireless Communication by reviewing the available simulation tools, highlighting the features of the simulators and using one of the best simulator to simulate and test wireless Network.. A review of NetTopo Simulator, Probabilistic Wireless Network Simulator (PROWLER), Matrix Laboratory (MATLAB)/Simulink, Platform for Integrated Communications and Control........

Keywords: Bluetooth, Broadcast, Communication, Microwave, Satellite.

[1]. B.I Bakare and J.D Enoch. A Review of Simulation Techniques for Some Wireless Communication System. International Journal of Electronics Communication and Computer Engineering, 10(2) .2019, 60-70.
[2]. efxkits (2018): Different Types of Wireless Communication Technologies, Retrieved from https://www.efxkits.us/different-types-of-wireless-communication-technologies/
[3]. L. Shu,., M. Hauswirth,, H.C. Chao, M. Chen and Y. Zhang, . NetTopo: A framework of simulation and visualization for wireless sensor networks. Ad Hoc Networks, 9(5), 2011, 799-820.
[4]. L. Shu,., C. Wu., and M. Hauswirth,. NetTopo: a framework of simulation and visualization for wireless sensor networks, Digital Enterprise Research Institute (DERI), National University of Ireland. Galway, Technical Report, October 30, 2008

[5]. G. Simon. .Prowler: Probabilistic wireless network simulator. Institute for Software Integrated Systems, Nashville (2003)..

Abstract: The current power age sources are unfit to meet the hyper heightening power request. Normal arrangement is to put in new age plants to fulfill the power request which it isn't financially savvy. A shoddy and compelling arrangement is to screen every one of the apparatuses running inside a structure and to utilize them efficiently. Non-intrusive load monitoring (NILM) is one of the conservative procedures to distinguish the machines based on their novel burden marks. In this paper, an AI based method is exhibited to recognize........

Keywords: NILM, AIMS. Raspberry Pi, Python, Real Time Monitoring

[1]. Debayan Paul, Tanmay Chakraborty, Soumya Kanti Datta, Debolina Paul "IoT and Machine Learning Based Prediction of Smart Building Indoor Temperature" 2018 4th International Conference on Computer and Information Sciences (ICCOINS).
[2]. Supriya S. Shinde, Mayura Kulkarni "Review paper on Prediction of Crop Disease Using IoT and Machine Learning" International Conference on Transforming Engineering Education 2017;14-16 Dec 2017.
[3]. Purnendu Shekhar Pandey "Machine Learning and IoT for Prediction and Detection of Stress" ©2017 IEEE.
[4]. Junmin Park, Hyunjae Park, Young-June Choi "Data Compression and Prediction Using Machine Learning for Industrial IoT" ©2018 IEEE ICOIN 2018.
[5]. Kyoe-Rae Yeom, Hyo-Sub Choi "Prediction of Manufacturing Plant's Electric Power Using Machine Learning" ©2018 IEEE ICUFN 2018.

Abstract: Agriculture industry faces different losses both before and during harvest of grains due to lack of technology usage. In fact the greatest and considerable amount of food is wasted during storage of grains. Hence, there is a need to improve the storage facilities of grains to maintain its quality and quantity efficiently in order to reduce food as well as financial loss. An efficient storage system can ensure the grain's quality by controlling and monitoring environment related factors, such as temperature, light, humidity, pests and hygiene. The technique will measure the level of grains inside silos through efficient level sensors and monitor the environment in silos through environmental sensors and then recorded parameters will be sent periodically to the main computing device and will be displayed automatically on the display. In this paper we propose a smart solution for efficient monitoring of grain storage in order to reduce food wastage.

Keywords: Grain Storage, Wireless Sensor, Monitoring System.

[1]. Yangyang Ma, Shengqi Yang, Zhangqin Huang, Yibin Hou, Leqiang Cui, and Dongfang Yang "Hierarchical Air Quality Monitoring System Design" 2014 IEEE.
[2]. Duangchak Manyvone, Ryohei Takitoge, and Koichiro Ishibashi "Wireless and Low-Power Water Quality Monitoring Beat Sensors for Agri and Acqua-Culture IoT Applications" 2018 15th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology.
[3]. Partha Pratim Ray, Shubham Pradhan, Roshan Kumar Sharma, Animesh Rasaily, Abhinav Swaraj, Ashish Pradhan "loT Based Fruit Quality Measurement System" 2016 Online International Conference on Green Engineering and Technologies (IC-GET).
[4]. K.Gopavanitha, S.Nagaraju "A Low Cost System for Real Time Water Quality Monitoring and Controlling using IoT" International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS-2017).
[5]. Sazia Parvin, Amjad Gawanmeh, Sitalakshmi Venkatraman "Optimised Sensor Based Smart System for Efficient Monitoring of Grain Storage" ©2018 IEEE.