Special Issue No. – 2, August, 2019

Abstract:

In conventional wireless conversation device the problematic of approximating the parameters such as coherence time, coherence band width and so on. Continues to be not correct. This problematic is especially owing to the circumstance that the mobile receiver may be in movement and additionally obtained signals can attain alongside a couple of pondered paths. In this paintings, the channel modeling, most efficient location scatterers and reflectors with appreciate to the region of receiver and transmitter and the surest valve of pointed range with the course of movement of the cell receiver are to be travelled. The consequence of the multipath fading both over the years and frequency is also to be careful. The algorithms and arrangements projected in this articles shall gain within the (i) choicest location of scatterers everywhere a receiver transferring at an adjustable velocity (ii) practical modeling of MIMO declining channels overwhelming the conventional assumption that fading coefficients among exclusive transmit and get hold of antennas are unbiased unsystematic variables.

Keywords:

Mobility models,Multipath fading,Channel uncertainty,MIMO fading channel,

Refference:

I. Cho, M., Cho, H., Ro, S., and Hong, D.: ‘A novel time spreading method for down-link OFDM-coded division multiplexing systems’. Proc. IEEE VTC, April 2003,
pp. 764–768.
II. FoschiniG. J., M. J. Gans, ,,On Limits of wireless Communications in a Fading Environment”, Wireless Personal Communications, 6, pp. 311-335, 1998.
III. Gesbert, David; Akhtar, Jabran. Breaking the barriers of Shannon’s capacity: An overview of MIMO wireless system. Telektronikk: 53-64, 2008.
IV. Soysal A. and S. Ulukus. Optimum power allocation for single-user MIMO and multiuser MIMO-MAC with partial CSI. IEEE Journal on Selected Areas in Communications, 25(7):1402–1412, September 2007.
V. YuW., W. Rhee, S. Boyd, and J. M. Cioffi. Iterative water-filling for Gaussian vector multiple access channels. IEEE Transactions on Information Theory, 50(1):145–151, January 2004.
VI. Zentner. R, Nagy R, Zentner E: ,,Elliptical Single- bounce Model for MIMO Channel Simulations”, COST273, Germany, 2004.

View | Download

Abstract:

Given a lot of pictures that contain objects from a typical classification, object co-division goes for naturally finding and sectioning such regular articles from each picture. In the proposed structure, we initially present the idea of association foundation and use it to improve the power for smothering the picture foundations contained by the given picture gatherings. At that point, we likewise debilitate the necessity for the solid earlier learning by utilizing the foundation earlier. For the feeble foundation earlier, the model which is called the MR-SGS model is utilized. This is characterized as complex positioning with a self-learned diagram structure.it can derive the reasonable chart structures as opposed to fixing diagram structures in a given plan.

Keywords:

Picture division,Image co-division,managed learning,Interactive learning,PC vision,

Refference:

I. Liangliang Cao and Li Fei-Fei, “Spatially coherent latent topic model for concurrent segmentation and classification of objects and scenes,” in Computer Vision, 2007. ICCV 2007. IEEE 11th International Conference on. IEEE, 2007, pp. 1–8.
II. Malisiewicz and Alexei A Efros, “Improving spatial support for objects via multiple segmentations,” 2007.
III. Sreenath Rao Vantaram and Eli Saber, “Survey of contemporary trends in color image segmentation,” Journal of Electronic Imaging, vol. 21, No. 4, pp. 040901–1, 2012 Tomasz
IV. Thomas Blaschke, “Object based image analysis for remote sensing,” ISPRS journal of photogrammetry and remote sensing, vol. 65, no. 1, pp. 2–16, 2010.
V. Younes L., Optimal Matching between Shapes via Elastic Deformations. Image and Vision Computing, Vol. 17, 5-6, April 1999.
VI. Yukalov V.I., Probabilistic Approach to Pattern Selection. Physica A: Statistical Mechanics and its Applications, Vol. 291, 1-4, March 2001.

View | Download

Abstract:

Air contamination has critical impact on the grouping of constituents in the climate prompting impacts like an unnatural weather change and corrosive downpours. Due to the harmful industrial gases and To cancel such adverse un equalences in the environment, an air pollution control system is mostly important. This paper makes to form an effective main solution for industrial air pollution controlling system by use of IOT on a real implemented time based scale named true time wired less industrial air polluted control design. A less weighted and a web ( IOT ) communicate to see the real mechanical air contamination information as counts, diagrams of proving grounds were created and accessible anyplace on the web Other elements like temperature and mugginess likewise detected alongside gas fixations to empower information investigation through information combination systems. Experimentation completed utilizing the created remote modern air contamination control framework under various physical conditions demonstrate that the framework gathers dependable wellspring of continuous fine-grain contamination information.

Keywords:

IOT,Air Pollution,ARM GSM,GPRS,

Refference:

I . Chaudhari. A.N., and Kulkarni. G.A. (2017), ‘IoT based Environmenal Pollution Monitoring System’ , IRJET. Vol. 04 , pp. 1823-1829.
II. Chu. D.A., Kaufman. Y.J., Zibordi. G., Chern. J.D., Mao. J., Li. C., and Holben. B.N. (2003), ‘Global monitoring of air pollution over land from the Earth Observing System Terra Moderate Resolution Imaging Spectroradiometer (MODIS)’. pp. 1-8.
III. Chaitanya H P1, H. Prasanna Kumar2 “Automated system for air pollution detection and control of speed in vehicles International Journal of Advances in Engineering & Technology, Aug., 2016.©IJAET ISSN: 22311963.
IV. C. Balasubramaniyan* and D. ManivannanIoT Enabled Air Quality Monitoring System (AQMS) using Raspberry PiISSN (Print) : 0974-6846 Indian Journal of Science and Technology, Vol 9(39), DOI: 10.17485/ijst/2016/v9i39/90414, October 2016 ISSN (Online) : 0974-5645
V. Khedo. K.K., Perseedoss. R., and Mungur. A. (2010), ‘A Wireless Sensor Network Air Pollution Monitoring System’ , IJWMN. Vol. 2 , No. 2., pp. 31-45.
VI. Navreetinder Kaur1, Rita Mahajan2, Deepak Bagai3 “Air Quality Monitoring System based on Arduino Microcontroller International Journal of Innovative Research in Science, Engineering and Technology (An ISO 3297: 2007 Certified Organization) Vol. 5, Issue 6, June 2016”
VII. Saha. H.N., Auddy. S., Chatterjee. A., Pal. S., Pandey. S., Singh. R., Singh. R., Sharan. P., Banarjee. S., Ghosh. D., and Maity. A. (2017), ‘Pollution Control using Internet of Things (IoT)’ , Vol. 10 ,pp. 65-68.
VIII. Vaishnavi V. Daigavane and Dr. M.A Gaikwad Water Quality Monitoring System Based on IOT “Advances in Wireless and Mobile Communications. ISSN 0973-6972 Volume 10, Number 5 (2017), pp. 1107-1116 © Research India Publications http://www.ripublication.com “
IX. Okokpujie. K., Noma-Osaghae. E., Modupe. O., John. S., andOluwatosin. O. (2018), ‘A Smart Air Pollution Monitoring System’ , IJCIET. Vol. 9 , pp. 799-809.

View | Download

Abstract:

In this paper, we discuss about the equipment has the ability to recognize and disabling digital cameras. The camera is positioned and neutralized by the system CCD is the image sensor available in every camera which is retro reflective and transmits light back to its source at the same angle. Infrared light is emitted by the device which is not visible to human eye at a distance of about 20 feet. Camcorder is used to accumulate the video of reflection. Then the video of the reflections is transmitted to a computer connected to the equipment , where it is sent through imageprocessing algorithms that acquires infrared light bouncing back an invisible infrared laser is projected into the camera's lens once the camera is identified, thereby overexposing the photo and providing it useless. Digital camera are neutralized by low level IR lasers but are neither a health danger to homosapiens nor physical damage to cameras. We review the simplified design of the device that can utilized in theatres to block piracy. The research areas being covered here are optics and image processing.

Keywords:

Camcorder,CCD,LED,Retro reflector,Hough Transform,

Refference:

I. Arjun Venugopal, Antony Vibin, Gokul Raj, Surekha Mariam Varghese, Ani Sunny,” International Research Journal (IRJET),Vol.:5, Issue: 5, pp.2813
II. C. P. Reshma Chand, J. Dheeba, “Automatic Detection of Exudates in Color Fundus Retinopathy Images”, Indian Journal of Science and Technology, Vol. 8 issue 26, pp. 566
III. Debajit Sensarma, Samar SenSarma, “A Survey on Different Graph Based Anomaly Detection Techniques”, Indian Journal of Science and Technology, Vol:8,issue.31 ,Nov2015
IV. J. Manasa, J.T. Pramod, S.A.K. Jilani, S. Javeed Hussain, “Real Time Object Counting using Raspberry pi”, International Journal of Advanced Research in Computer and Communication Engineering, vol. 4, no. 7, July 2015.
V. K. H. Hemalatha, G. Babu, R. Sivakumar, “Lesion Area Detection (LAD) using Super pixel Segmentation”, Indian Journal of Science and Technology, Vol. 8 Issue 15, July2015
VI. P. Sujatha, K. K. Sudha, “Performance Analysis of Different Edge Detection Techniques for Image Segmentation”, Indian Journal of Science and Technology, Vol:8,issue 14 ,July 2015
VII. Panth Shah, TithiVyas, “Interfacing of MATLAB with Arduino for Object Detection Algorithm Implementation using Serial
Communication”, International Journal of Engineering Research & Technology (IJERT), vol. 3, no. 10, pp. 1069-1071, Oct 2014.

View | Download

Abstract:

“The system is implemented using ordinary household appliances Natural language voice commands are given to the Google Assistant and with the help of IFTTT (If This Then That) application and the Blynk application the commands are decoded and then sent to the microcontroller, the microcontroller in turn controls the relays connected to it as required, turning the device connected to the respective relay On or OFF as per the users request to the Google Assistant. The microcontroller used is NodeMCU (ESP8266) and the communication between the microcontroller and the application is established via Wi-Fi (Internet).”

Keywords:

NodeMCU ESP8266,IFTTT -If This Than That Application,(IoT),Google Assistant,Voice Control,Smartphone,

Refference:

I. Aayush Agarwal , Anshul Sharma , Asim Saket Samad , S Babeetha, IJARIIE, “UJALA- Home Automation System Using Google Assistant”, Vol-4 Issue-2, 2018
II. Kusuma S M, Assistant Professor, Department of telecommunication, MSRIT, Bangalore, India. “Home Automation Using Internet of Things” July 1999.
III. Manish Prakash Gupta,. Department of Electronics and Communication, Maharishi Dayanand University, Rohtak, Haryana, India, “Google Assistant Controlled Home Automation” Volume: 05 Issue: 05 | May-2018
IV. Mummaka Sai Srinath, Manepalli Nanda Kishore, M.D. Anto Praveena, Interactive International Journal of Pure and Applied Mathematics, “Home Automation System With Google Assistant”, Volume 119 No. 12 2018, 14083-14086
V. Mhanta Prasad, Mayuri Ghodke, Swati Gaikwad, Prof. N. V. Kurhade, IOSR Journal of Engineering, “Controlling Home Appliances on Google Assistant and Monitoring Data” , PP 58-62.
VI. Niharika Shrotriya, Anjali Kulkarni, Priti Gadhave, International Journal of Science, Engineering and Technology Research (IJSETR), “SMART HOME USING WI-FI” December 1996.

View | Download

Abstract:

In the data transmitting from node to node, increase the speed in the development, rapid growth in the total number of the basestations, rate of utilization of power in the vital growth of information technology the sponsor amount is large. In the transition environment many companies are observing their information storage, techniques thereby to optimize the power saving system. Data deduplication strategy to limit the capacity framework can indispensable job in reduce data, consequently improve settings use additionally limit heat reduces. Data deduplication can decrease circles numbers utilized in the work to improve plate control absorb rate. By breaking down the data deduplication procedure, produces, and system for the further procedure lay the substation to the work.

Keywords:

Data Deduplication,Power rate,Disk number,power storage,

Refference:

I. A. Elmagarmid, P. Ipeirotis, and V. Verykios. “Duplicate record detection: A survey. Knowledge and Data Engineering” ,IEEE Transactions on, 19:1-16, 2007.
II. Austin Clements, Irfan Ahmad, Murali Vilayannur, and Jinyuan Li. “Decentralized deduplication in san cluster file systems”. In Proc. of the USENIX Annual Technical Conference, June 2009.
III Bolosky WJ, CorbinS, GoebelD, DouceurJR. “Single instance storage in Windows”.In:Proc.of the 4th Usenix Windows System Symp. Berkeley: USENIX Association, 13-24 , 2000.
IV. Changyou Guo and Xuefeng Zheng, “The Research of Data Security Mechanism Based on Cloud Computing” @International journal of Security and its applications 2015
V FalconStor. “ Demystifying Data Reduplication: Choosing the Best Solution” http://www. pexpo.co.uk /contentldownload ” 2009-10
VI. Jorge Guerra, Luis Useche, Medha Bhadkarnkar, Ricardo Koller, and Raju Rangaswami. The Case for Active Block Layer Extensions” ACM Operating Systems Review, 42(6),October 2008.
VII. Mark W. Storer Kevin Greenan Darrell D. E. Long Ethan L. Miller “Secure Data Deduplication ” StorageSS’08, Fairfax, Virginia, USA. 1-10. ctober 31, 2008.
VIII. McKnight J,AsaroT, BabineauB Digital archiving: End-User survey and Market forecast”. http://www.Enterprise srategy group.com lESG Publications/ 2006-2010
IX. Medha Bhadkarnkar, Jorge Guerra, Luis Useche, Sam Burnett, Jason Liptak, Raju Rangaswami, and VagelisHristidis. BORG: Blockre Organization for Self optimizing Storage Systems. In Proc. of the USENIX File and Storage Technologies, February 2009.
X. M. W. Storer, K. Greenan, D. D. E. Long, and E. L. Miller. “Secure data deduplication”. In Proc. of StorageSS, 2018.
XII. Y. Wang and S. Madnick “The Inter-Database Instance Identification Problem in Integrating Autonomous Systems” In Proceedings of the Fifth International Conference on Data Engineering IEEE Computer Society.
pages 46-55,Washington, DC, USA, 1989.

View | Download

Abstract:

Gesture recognition technologies are much growing in the world of today. At this time there is much effective analysis in the terrain and limited in the way of openly available implementations. Many techniques have been implemented for sensing gestures and controlling quad copters. Glove based technique is a wellknown methods of recognizing hand gestures. A Gesture Controlled quad copter is a kind of quad copter which can be regulated by hand gestures and not the older way by using remotes. The user needs to wear a glove on his hand which comprises a sensor which is an Flex sensor in our case. Sensors convert physical movements into electrical signals. Also sensor converts different gesture movements of hands into electrical signals. Other commonly used transducers are Accelerometer and Gyroscopes. The user need wear a gesture device which includes flex sensor. A flex sensor is a sensor that measures the amount of bending. The sensor will document the drive of hand in particular direction which will result in the movement of quadcopter

Keywords:

Quad-copter,Flex sensor,Motion capture system,UAV,

Refference:

I. Jinay S. Gadda1, Rajaram D. Patil, „Quad-copter (UAVS) For Border Security With GUI System‟, 2013, ISSN 2231-1297.
II. Kalpesh N. Shah, Mr. Bala J. Dutt, Hardik M Quadrotor – An Unmanned Aerial Vehicle‟, 2014, International journal of Engineering Development and Research.
III. Kumar Kawale, Supriya Kolhe, Gauri Katale, Dhanashri Hemane, “Fighter Quad-copter Control Using Computer System”, International Journal of Innovative Research in Computer and Communication Engineering ,Vol. 4, Issue 11, November 2016.
IV. Matlock.A, R. Holsapple, C. Schumacher, J. Hansen and A. Girard, “Cooperative Defensive Surveillance using Unmanned Aerial Vehicles”, 2009 American Control Conference. V. M.D.L.C. De Oliveira,“Modeling, Identification and Control of a Quad rotor Aircraft, Master’s Thesis, Czech Technical university in Prague” 2011.
VI. Muhammad, M. ; Swarnaker, D. ; Arifuzzaman, M, Autonomous Quadcopter for product home delivery. Publication Year:2014, Page(s):1-5 IEEE Conference Publications.
VII. Nicolas Ives Roque Pacheco, Daniel de Castro Ribeiro Resende, Pedro Américo Almeida Magalhães”, Stability Control of an Autonomous Quadcopter through PID Control Law
VIII. Oywind Magnussen, Kjell Eivind, Skjonhaug “Modeling Design and Experimental Study for A Quad-copter System Construction” University of Agder Department of Engineering Faculty of Technology and Science
2011.

View | Download

Abstract:

Reliable checking of the patient's health condition in the prosperity center is either manual or remote unfaltering quality (Wi-Fi)- based structure. A Wi-Fi-based system winds up lazy in pace as a result of exponentially copied versatility. In this circumstance, delicate precision (Li-Fi) finds the spots wherever Wi-Fi is material to various highlights of quick data compose. Beside the pace factor, Li-Fi is increasingly critical fitting in sanatorium utility for watching the patient's conditions despite repeat impedance with the human body. This paper proposes an execution of Li-Fi social order in the crisis center for controlling the patient's essentials, for instance, temperature, heartbeat, and respiratory conditions using specific sensors. The gathered substances from the sensors are transmitted to the sink, and further, this information has dealt with the usage of a microcontroller and sent to an introduction unit as mechanized. Given the thinking of seen light correspondence, a model mannequin is created with the microcontroller and essential sensors as peripherals and attempted it is working. Thusly, the utilization of Li-Fi as health watching device exhibited probably.

Keywords:

Social insurance checking,Light transmitting diode light,Medical hardware,Patient condition,Visible light correspondences,

Refference:

I. Arijit Ghosh, “Patient Health Monitoring System,” International Conference on Intelligent Control Power and Instrumentation October 2016.
II. Harald Haas, “wireless data from every light bulb “, TED Global, Edinburgh, July 2011.
III. Harald Haas, Liang Yin, ‘What is Li-Fi?’ published in the Journal of lightwave technology, Volume: 34, Issue:6, March 15, 2016.
IV. Harald Haas with Prof Svilen and Prof Thilo and Prof Irina:” Li-Fi modulation and networked Li-Fi attocell concept” 2012.
V. Kalpana P.M, “Design and Development of PIC Microcontroller based Wireless Architecture for Human Health Monitoring”, International Journal of Innovative Research in Science, Engineering and Technology Vol. 4, Issue 4, April 2015.
VI. Niranjana Dye, Amira S. Ashur, Fujian Shi, “Developing Residential Wireless Sensor Networks for ECG Healthcare Monitoring”, IEEE Transactions on Consumer Electronics, Vol. 63, No. 4, November 2017.
VII. Reba Mohammed, Dyer Omer, “Health Mate: Smart Wearable System for Health Monitoring,” Networking Sensing and Control, August 2017.
VIII. Saidpur Rahman, Shim anta Kumar Dye, Bikash Kumar, “Design and Implementation of Real-Time Transformer Health Monitoring System Using GSM Technology”, International Conference on Circuits, Power and Computing Technologies, February 2017.
IX. Suhas Kaie, “Design and Implementation of Real-Time Embedded Tele-Health Monitoring System,” International Conference on Circuits, Power and Computing Technologies, June 2013.
X. Kalpana P.M, “Design and Development of PIC Microcontroller based Wireless Architecture for Human Health Monitoring”, International Journal of Innovative Research in Science, Engineering and Technology Vol. 4, Issue 4, April 2015.
XI. Birgit Wilhelm, Senait Forst, Matthias M. Weber, Martin Larbig, Andreas Pfitzner, Thomas Forst “Evaluation of CGMS During Rapid Blood Glucose Changes in Patients with Type 1 Diabetes”, Diabetes Technology and Therapeutics 8:2, 2006,
pp.146-155.
XII. Moussa Ayyash, Hany Elgala, Abdallah Khreishah, Volker Jungnickel, Thomas Little, Sihua Shao, Michael Rahaim, Dominic Schulz, Jonas Hilt, Ronald Freund, “Coexistence of Wi-Fi and Li-Fi towards 5G”, Concepts, Opportunities, and Challenges 2016.

View | Download

Abstract:

By victimization embedded system we've got an inclination to face live about to develop a high quality platform. Every time when the train arrives the platform, mechanically it can open by intimating a warning to the passengers those who live victimization the mobile platform. Using wireless communication this may be done. All the train is connected with RF transceiver, so that it send a knowledge of arrival before it reaches the platform of the station. If the train leaves from the platform, then automatically the mobile platform square measure visiting be bridged between a try of platforms to form a path between them. This project is supposed with PIC18F45J11 Microcontroller. The PIC18F45J11 Microcontroller will work of partaking the input from the RSSI and it offers command to the motor to run therefore on tackle the modification within theposition of the quality Rostrum.

Keywords:

PIC18F45J11 Microcontroller,MRF24J40 MiWi,RSSI,WPAN,

Refference:

I. Eason, B. Noble and I. N. Sneddon, “On Certain Integrals of Lipschitz-Hankel Type Involving Products of Bessel Functions,” Philosophical Transactions of Royal Society, London, Vol. A247, April 1955, pp. 529-551.
II. G.I. Howitt, J. A. Gutierrez, “IEEE 802.15.4 low rate- wireless Personal area network coexistence issues,” Wireless Communications and Networking, vol.3 , March 2003.
III. H. Laitinenet al, “Experimental Evaluation of Location Methods Based on Signal-Strength Measurements”, IEEE Trans. on Vehicular Technology, vol.56, no.1, pp.287-296, Jan.2007
IV. “IEEE 802.11-2012″ IEEE. 2012-03-29. Retrieved 2013-02-11
V. M. Shankar, A Microchip Wireless Based Wearable Physiological Parameters Monitoring
VI. System, Volume 2, Issue2: Page No.71-74, March – April (2013)
VII. T. S. Rappaport, “Wireless Communications: Principles & Practices”, Prentice-Hall Inc., 1996
VIII. Microchip, “PIC18F4XJ11 Datasheet”
IX. 1486.http://www.microchip.com/pagehandler/enus/products/picmicrocontrollers
X. http://en.wikipedia.org/wiki/MiWi

View | Download

Abstract:

This undertaking presents contemplations of utilizing remote sensor systems for checking conditions inside wind ranches, enchanting into contemplations the particular of such submissions. In these situations, which are planned to make a great deal of progress or even work in troublesome radio conditions with solid lessening, the basic and straight correspondence among source and goal isn't constantly conceivable, because of the separation confinement. To beat these actualities, we propose a framework which constantly screens the parameters of the windmill framework and transmits those information's to the cloud utilizing IOT. This framework disposes of the Range compel for passing these parameters to the checking framework.

Keywords:

Wireless sensor networks,attenuation,windmill system,Internet of Things,

Refference:

I. Arawomo D. F.. (2017). “Electricity billing systems and household electricity use behaviour in Ibadan, Nigeria”, Energy for Sustainable Development, 40, pp. 77–84.
II. Cinque M., D. Cotroneo, C. Di Martino and S. Russo, “Modeling and Assessingthe Dependability of Wireless Sensor Networks”, The 26th IEEE Intern. Symp. on Reliable Distributed Systems, pp33-42, Beijing, China, Oct. 2007.
III. DongS. K., K.M. Shazzad and S. P. Jong, “A framework of survivability model for wireless sensor network”, The 1st Int. Conf. on Availability, Reliability and Security, Page(s): 8., 2006.
IV. Rabaey J. M., M. J. Ammer J. L. da Silva, D. Patel and S. Roundy, “Pico Radio Supports Ad Hoc Ultra-Low Power Wireless Networking”, IEEE Computer,33(7): 42–48, 2000.
V. Shrivastava N., C. Buragohain, D. Agrawal and S. Suri, “Mediansand Beyond: New Aggregation Techniques for Sensor Networks”, in Proceedings of the Second ACM Conference on Embedded Networked Sensor Systems (SenSys 2004), August 2004.
VI. SzeidertI., O. Prostean, A. Robu, L. Jurca, “Windmill’s Design and Implementation Aspects”, Intelligent Manufacturing andAutomation, Trnava, Slovakia, 2008.
VII. Vijayaragavan, SP; Karthik, B; Kiran Kumar, TVU; , A DFIG based wind generation system with unbalanced stator and grid condition, Middle-East Journal of Scientific Research, V-20, I-8, pp-913-917, 2014.
VIII. ZhijunY. and W. Jie, “Fault-Tolerant Sensor Coverage for Achieving Wanted Coverage Lifetime with Minimum Cost”, Int. Conf. on Wireless Algorithms, Systems and Applications, ,Pp:95-102, Aug. 2007.

View | Download