iosr-JECE   Volume-14 ~ Issue-2 ~ March-April 2019

Abstract: The propose design is used to clean Solar Panel And Monitoring System and implement a cleaning system which can clean the dust automatically and monitor the voltage variation.It is used for social aspect and minimizing human effort with effective natural resources utilization

Index Terms - Photovoltaic Panels, Solar Cells, Drive Trolley, Array

[1]. PIC Microcontroller and Embedded system :Using Assembly and C Languages",Muhammad Ali Mazidi, and Rolin D.Mckinlay
[2]. "Shigley's Mechanical engineering Design" book by J.Keith Nisbett and Richard G.Budynas.
[3]. Mark Anderson, Ashton Grandy, Jeremy Hastie, Andrew Sweezey, Richard Ranky, Constantinos Mavroidis, "Robotic Device For Cleaning Photovoltaic Panel Arrays ", Northeastern University, 360 Huntington Avenue, Boston, MA, 02115 USA
[4]. "SolarElectricity Handbook ",book by Michael Boxwell,April 2009..

Abstract: This paper converses a system for measuring, monitoring and estimation of some environment's parameters like temperature, humidity, and volume of CO2. The system was developed using Arduino Uno micro-controller and its platforms. It has high level scalability and is cost-effective, which makes it suitable for other environment monitoring applications. The paper contains elaborate explanations of the overall system architecture as well as hardware and software requirements of the system. Viability of the system has also been demonstrated through presentation of some results obtained

[1]. V. A. A. Manimozhi, D. Nivetha, P. Nivethitha, V. Anupriya, I. Volume, I. March, and P. No, "Smart Environmental Monitoring System Using Labview," vol. 6, no. 3, pp. 20705–20709, 2017.
[2]. E. Gertz and P. Di Justo, Environmental Monitoring System with Arduino, First Edition. Calfornia: O'Reilly, 2012.
[3]. K. A. Noordin, C. O. Chow, and M. F. Ismail, "A Low-Cost Microcontroller-based Weather Monitoring System A Low-Cost Microcontroller-based Weather Monitoring System," no. January 2015, 2006.
[4]. S. Choudhury, P. Kuchhal, and R. Singh, "ZigBee and Bluetooth Network based Sensory Data Acquisition System ZigBee and Bluetooth Network based Sensory Data Acquisition System," Procedia - Procedia Comput. Sci., vol. 48, no. December, pp. 367–372, 2015.
[5]. O. D. Chinenye and O. Kingsley, "Open Access Design of a Supervisory Control and Data Acquisition System for Monitoring Temperature and Light Intensity of a Workstation," American Journal of Engineering Research ( AJER )," no. 8, pp. 331–337, 2017...

Abstract: The particle swarm optimization (PSO) represents a novel approach to optimization problems which is effective at finding good solutions to a number of complicated electro-magnetic design problems. In our work it is used for the optimization of a Luneburg lens antenna for complex medium. In this paper, optimization and comparative reformulation is carried out for of inhomogeneous dielectric filled Luneburg lens antenna with respect to the Luneburg lens made from a material with a constant value of the dielectric permittivity with the introduced discontinuities. The comparison is carried out based on the creation of the electromagnetic models. The different stages in creating models and the design difficulties are also discussed

Keywords: Particle swarm optimization, Luneburg lens, inhomogeneous dielectric, lens reformulation, lens optimization.

[1]. J. L. Volakis, Antenna engineering handbook. McGraw Hill, 2007.
[2]. S. P. Morgan, "General solution of the Luneburg lens problem," J. Appl. Phys., vol. 29, no. 9, pp. 1358–1368, 1958.
[3]. R. K. Luneburg, The Mathematical Theory of Optics. Providence, RT Brown Univ. Press, 1944.
[4]. V. A. Kaloshin, "Planar anisotropic Mikaelian lens on the basis of EBG- structure" (2016) Doklady Physics, 61 (9), pp. 435-439. DOI: 10.1134/S1028335816090056
[5]. A. Sayanskiy, S. Glybovski, V.P. Akimov et al., "Broadband 3-D Luneburg Lenses Based on Meta-materials of Radially Diverging Dielectric Rods", (2017) IEEE Antennas and Wireless Propagation Letters, 16, pp. 1520-1523. DOI: 10.1109/LAWP.2016.2647383.

Abstract: The modern Internet of Things (IoT) is the utilization of Internet of Things (IoT) innovations in assembling which saddles the machine information produced by different sensors and applies different investigation on it to increase valuable data. The information caught by the machines is typically joined by a date time part which demonstrates essential for prescient displaying. This paper exhibits the essential idea of utilizing AI calculation for modern machine control and its prescient upkeep. The forecast model is utilized which predicts the future result contingent on the past qualities gathered from current and voltage sensors connected to motor, additionally to anticipate the conceivable disappointments and quality imperfections, consequently it is helpful to.........

Keywords: IoT, Machine Learning

[1]. Sheena Angra Sachin Ahuja "Machine Learning and its Applications: A Review" © 2017 IEEE
[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]. Ameeth Kanawaday, Aditya Sane "Machine Learning for Predictive Maintenance of Industrial Machines using IoT Sensor Data" ©2017IEEE.
[4]. Toshiaki Uejima, Member, IEEE, Hiroki Mizosoe, Member, IEEE, Kunihiko Suzuki, Takashi Yamada "Versatile Prediction Core for IoT Applications" 2018 IEEE International Conference on Consumer Electronics (ICCE).
[5]. Junmin Park, Hyunjae Park, Young-June Choi "Data Compression and Prediction Using Machine Learning for Industrial IoT" ©2018 IEEE ICOIN 2018...

Abstract: In this paper, we evaluate three variants of new quality parameters for medical image fusion. The aims of our evaluated parameters are based on an image quality index. We perform several simulations which show that our parameters are compliant with subjective evaluations and can therefore be used to compare different image fusion methods or to find the best parameters for a given fusion algorithm.

Keywords: Medical image fusions, DWT, curvelet transform, contourlet transform

[1]. B. Solaiman, R. Debon, F. Pipelier, J. M. Cauvin, and C. Roux, Information fusion: Application to data and model fusion for ultrasound image segmentation, IEEE TBME, vol. 46, no. 10, pp. 1171–1175, 1999.
[2]. B. V. Dasarathy, Editorial: Information fusion in the realm of medical applications-a bibliographic glimpse at its growing appeal, Information Fusion 13 (1) (2012) 1–9.
[3]. A. Toet and E. M. Franken, "Perceptual evaluation of different image fusion schemes," Displays, vol. 24, no, l , pp. 25—37, February 2003.
[4]. G.Piella, "A general framework for multiresolution image fusion: from pixels to regions," to appear in Information Fusion, 2003.
[5]. Li, B. S. Manjunath, and S. K. Mitra, "Multisensory image fusion using the wavelet transform," Graphical Models and Image Processing, vol. 57, no. 3, pp. 235—245, May 1995.

Abstract: In our country, Garbage is a very big issue. It creates some unhygienic problems and problems related to the society health issue, it creates multiple type of diseases. Careless trashing of garbage on the roads is a common scenario to be found in our country. And also now a days internet is a very important part in our life for digitization. Thus for this kind of issues, a Wi-Fi Dustbin can be use, it is a system that whenever someone throws the garbage or waste into a dustbin then it automatically detects the garbage and gives a temporary access code to the user, to use the Wi-Fi available

Keywords: IR Sensors, Micro-controllers, Wi-Fi Routers, Software Development Kit(SDK).

[1]. M. Prasanth, Pragnya Srinivasan, MadhuriPendyala "Automated waste clearance: Streetwise cleanliness!" International Conference on Human Computer Interactions (ICHCI), IEEE, DOI: 10.1109/ICHCI-IEEE.2013.6887798, 01 September 2014.
[2]. P. Suresh, Vijay. Daniel, R.H. Aswathy, Dr. V. Parthasarathy, "A State of the Art review on Internet of Things" International Conference on Science Engineering and Management Research (ICSEMR), IEEE, DOI: 10.1109/ICSEMR.2014.7043637 19 February 2015.
[3]. SaurabhDugdhe , Pooja Shelar, SajuliJire and AnujaApte, "Efficient Waste Collection System" , International Conference on Internet of Things and Applications (IOTA) IEEE, Pages: 143 -147, DOI: 10.1109/IOTA.2016.7562711, 08 September 2016.
[4]. Parkash, Prabu V "IoT Based Waste Management for Smart City" International Journal of Innovative Research in Computer and Communication Engineering, Vol. 4, Issue 2, DOI: 10.15680/IJIRCCE.2016. 0402029, February 2016.
[5]. Meghana K C, Dr. K R Nataraj, "IOT Based Intelligent Bin for Smart Cities", International Journal on Recent and Innovation Trends in Computing and Communication, Volume: 4 Issue: 5, May 2016...

Abstract: The extraction of moving articles from their experience is a testing assignment in visual observation. As a solitary edge frequently neglects to determine ambiguities and effectively section the article, in this paper, we propose another technique that utilizes three limits to precisely arrange pixels as closer view or foundation. These limits are adaptively dictated by considering the conveyances of contrasts between the information and foundation pictures and are utilized to produce three limit sets. These limit sets are then converged to create a last limit set that speaks to the limits of the moving items. The blending step continues by first distinguishing limit section combines that are........

Keywords: Boundary evaluation, change detection, curvature, SDI, foreground extraction, thresholds

[1]. P. Sarabandi, F. Yamazaki, M. Matsuoka, and A. Kiremidjian, ―Shadow detection and radiometric restoration in satellite high resolution images,‖in Proc. IEEE IGARSS, vol. 6. Sep. 2004, pp. 3744–3747.
[2]. Y. Wang and S. Wang, ―Detection and compensation of shadows in high resolution remote sensing images using PCA,‖ J. Appl. Sci., vol. 28, no. 2, pp. 136–141, 2010.
[3]. J. Jianguo, T. Yuan, W. Mifeng, Z. Yingchun, and Y. Ting, ―A shadow detection algorithm for remote sensing images,‖ J. Comput. Inf. Syst., vol. 9, no. 10, pp. 3783–3790, 2013.
[4]. M. Besheer and A. Abdelhafiz, ―Modified invariant colour model for shadow detection,‖ Int. J. Remote Sens., vol. 36, no. 24, pp. 6214–6223, 2015.
[5]. H. Ma, Q. Qin, and X. Shen, ―Shadow segmentation and compensation in high resolution satellite images,‖ in Proc. IEEE IGARSS, vol. 2. Jul. 2008, pp. 1036–1039..

Abstract: This work is about to create a smart dust bin, which can be use by officials to collect waste refuse. They collect the garbage to collect garbage where the garbage is collected from only slurry filled areas. The concept of 'machine-learning' is used to collect information about the waste generation practices in that area and therefore can be quantified in the future for the waste generated. In addition, there has also been continuous analysis of data which will be pushed into the form of clouds. Once the waste level in the dustbin will be passed, the email alerts and the text message will be sent to the concerned authorities after crossing the threshold fixed by the Authority. This will mainly save the time and money of the Authority. This will also reduce air pollution in the area and prevent spread of diseases caused by improper waste.

Keywords: Arduino, Raspberry Pi, Machine Learning

[1]. Cyril Joe Baby,Harvir Singh, Archit Srivastava, Ritwik Dhawan2 and P. Mahalakshmi, "Smart Bin: An Intelligent Waste Alert and Prediction System Using Machine Learning Approach" This full-text paper was peer-reviewed and accepted to be presented at the IEEE WiSPNET 2017 conference, 978-1-5090-4442-9/17/ 2017 IEEE.
[2]. Dung D. Vu, Georges Kaddoum. "A Waste City Management System for Smart Cities Applications", 2017 Advances in Wireless and Optical Communications ©2017
[3]. Taimur bakhshi, Muhammad ahmed. "IOT- Enabled smart city waste management using machine learning Analytics", International Conference on Energy Conservation and Efficiency (ICECE) ©2018 IEEE.
[4]. Maher, a., Hannan, M.A., & Hassan a. (2009), "Solid Waste Monitoring and Management using RFID,GIS and GSM", Proceeding of 2009 student conference on Research and development (SCOReD2009), 16-18 Nov. 2009, UPM Serdang, Malaysia.
[5]. Mokshada V. Patil, Snehal M. Gajbhiye. "A Review on Internet of Things Based Garbage Bins Detection Systems", Volume 6 Issue 4, April 2017.

Abstract: In this paper an intelligent bio inspired computation mechanism is explored for efficient estimation of channel coefficients in MIMO system. In this intelligent bio inspired scheme, Genetic Algorithm (GA) is applied as a global optimizer to estimate the channel coefficients in MIMO network. Intelligent bio inspired computing is done for equal number of antennas at transmitter and receiver end making a square channel matrix. Rayleigh fading channel is used in this research work for checking the trend of received signal for channel matrix of 3×3 and 4×4 order........

Keywords: Intelligent bio inspired computing, channel estimation, genetic algorithm, Rayleigh fading channel, computational complexity

[1] H. Hongji. Deep Learning for Super-Resolution Channel Estimation and DOA Estimation based Massive MIMO System. IEEE Trans- actions on Vehicular Technology, .2018.
[2] M. Ali. et al, "MIMO Channel Estimation Using the LS and MMSE Algorithm.". IOSR Journal of Electronics and Communication Engineering, 12. 2017, 13–22. Issue 1, Ver. II(Jan.-Feb.
[3] Joseph. "Influence of Channel Models and MIMO on the Performance of a System based on;2007.
[4] George Tsoulos, "MIMO System Technology For Wireless Communications". Revised Edition, CRC Publisher;2006.
[5] Yan tao Qiao, Songyu Yu, Pengcheng Su and Lijun Zhang, "Research on an Iterative Algorithm of LS Channel Estimation in MIMO OFDM Systems". IEEE Transactions on Broadcasting, 51(1). 20053

Abstract: Wireless Sensor Networks is a rising innovation for interest of analyst with its examination challenges and different application areas. It compreises of modest nodes with detecting, calculation and remote correspondences abilities. The constrained vitality asset is one of the fundamental difficulties confronting security in such systems. Routing is a huge issue and challenge in wireless sensor networks. Many routing methods have been designed and tested so far to improve the performance and quality of wireless sensor networks. The primary goal of this paper is......

Keywords: INSENS, LEACH, PDR, TORA, WSN

[1]. I. Mahgoub, M. Ilyas, "Sensor Network Protocols", Taylor & Francis Group, 2006, pg4-1.
[2]. Faieza Hanum Yahaya, Yusnani Mohd Yussoff, Ruhani Ab. Rahman and Nur Hafizah Abidin, "Performance Analysis of Wireless Sensor Network", 5th International Colloquium on Signal Processing & Its Applications (CSPA), 2009.
[3]. M. Ilyas and I. Mahgoub, "Handbook of Sensor Networks: Compact Wireless and Wired Sensing Systems", Proceedings of the CRC Press, 2005.
[4]. K. Sohraby, D. Minoli and T. Znati,"Wireless Sensor Network: Technology, Protocols and Applications", John Wiley & Sons, 2007, pg10-11.
[5]. Rajashree.V.Biradar, Dr.S.R.Sawant, Dr.R.R.Mud holkar, Dr.V.C.Patil, "Multihop Routing In Self-Organizing Wireless Sensor Networks", in Proceedings of the IJCSI International Journal of Computer Science Issues, Vol. 8, Issue 1, January 2011.