Human action recognition, based on video inputs, has become one of the most renowned research areas in the fields of computer vision, and pattern recognition. It has wide variety of applications such as surveillance, robotics, health care, video streaming and human-computer interaction. In our project, we are going to use it for surveillance purpose. Here, we are using the system to monitor real-time events taking place at the same venue. The main objective of our system is to detect different actions using Artificial Intelligence. An immediate action will be taken by the system itself so as to reduce human interference. Particularly, Recurrent Neural Networks (RNNs) are used to represent the track features. The attended features are then processe using other RNN for event detection/classification..

Keywords: Real Time Action Detection, Artificial Intelligence, Recurrent Neural Network, Raspberry Pi 3, CCTV Camera

[1]. M. Turan, Y. Almalioglu, H. Araujo, E. Konukoglu, and M. Sitti, "Deep endovo: A recurrent convolutional neural network (rcnn) based visual odometry approach for endoscopiccapsulerobots,"
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[3]. S. Andrews, I. Tsochantaridis, and T. Hofmann. Support vector machines for multiple-instance learning. In Advances in neural information processing systems, pages 561–568, 2002. 5, 6.
[4]. J. Ba, V. Mnih, and K. Kavukcuoglu. Multiple object recognition with visual attention. arXiv preprint arXiv:1412.7755, 2014. 2
[5]. D. Bahdanau, K. Cho, and Y. Bengio. Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473, 2014. 2, 4, 5

The IoT garbage monitoring system is a very innovative system which will keep cities clean.The aim of this paper is to monitor and manage garbage. It is a thought of upgrading a normal dustbin to smarter one using ultrasonic sensor for garbage level detection and then sending the level to the user and clear the dustbin if it has crossed threshold. This helps the cities to be clean by informing about garbage level. The idea of Smart Bin is for schools, colleges, factories and hospitals.

Keywords: ESP8266, Internet of Things, MQTT, Webserver

[1]. Fady E. F. Samoan, June -2018."The Design and Implementation of Smart Trash Bin"Academic Journal of Nowruz University (AJNU).
[2]. Harshita Chough, Dushyant Singh, Shahen's Shaik, Ashwani Singla,Sep -2017. "IOT Based Smart Bin"International Research Journal of Engineering and Technology (IRJET).Volume: 04 Issue: 12.
[3]. Narayan Sharma, Nirman Singha, Tanmoy Dutta, Sep-2015. "Smart Bin Implementation for Smart Cities". International Journal of Scientific & Engineering Research (IJSER).Volume 6, Issue 9.
[4]. Prof. Indus Anoop, Ayush Jain, Shweta Pathak1, Gauri Yadav Dept of Information Technology, Vidyalankar Institute of Technology, Mumbai, India, 2017. "IOT based Smart Waste Management". International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE),Vol. 6, Issue 1.

In the recent decades, Urbanization has enhanced enormously. At the same half there is a rise in waste production. Waste management has been a significant issue to be thought of. throughout this paper, bin is built on a microcontroller primarily based platform. Arduino are programmed in such approach that when the bin is being stuffed, the remaining height from the sting height are reaching to be displayed. Once the rubbish reaches the sting level breathed sensor will trigger the GSM equipment that is in a position to continuously alert the required authority until the rubbish at intervals the bin is press. waste are managed with efficiency as a result of it avoids spare lumping of wastes on margin.............

Keywords: Bin, GPS, microcontroller, motor, robot.

[1]. Ruveena Singh, Dr. Balwinder Singh "Design and Development of Smart Waste Sorting System".
[2]. Narayan Sharma, Nirman Singha, Tanmoy Dutta "Smart Bin Implementation for Smart Cities".
[3]. Amrutha Chandramohanet. al. "Automatic waste segregator".
[4]. Kumar, L.M. et. al. "Embedded wireless- enabled low cost plastic sorting system for efficient waste management".
[5]. Twinkle Sinha, K. Mugesh Kumar, P.Saisharan "Smart Dustbin".
[6]. M.K. Pushpa, Aayushi Gupta et. al. "Microcontroller Based Automatic Waste segregator

The proposed paper focuses on design of underwater drone/robot which can be self controlled or operated manually with the help of Tx/Rx Module. The design focuses on use of Electroactive Polymer material & a fish like structural design which gives the underwater drone/robot improved acceleration with minimum water resistance & therefore high efficiency. The Pressure Sensor senses the pressure on the body of the underwater drone/robot & is thus giving appropriate values to computation control for adjusting the depth of the drone. Furthermore, the actuators are used for gripping a object beneath waves.

Keywords: Piezoelectric Actuators, Series Elastic Actuators, Pressure Sensor, Computational Controller

[1]. Sfakiotakis; et al. (1999). "Review of Fish Swimming Modes for Aquatic Locomotion". IEEE Journal of Oceanic Engineering. IEEE Journal of Oceanic Engineering. 24 (2): 237–252. Bibcode:1999IJOE...24..237S. doi:10.1109/48.757275 Retrieved 2007-10- 24.
[2]. Richard Mason. "What is the market for robot fish?". Archived on 2009-07-04.
[3]. Jaulin, L.; Le Bars, F. (2012). "An interval approach for stability analysis; Application to sailboat robotics", IEEE Transactions on Robotics. 27 (5).
[4]. R. E. Moore. "Methods and Applications of Interval Analysis". SIAM, Philadelphia, PA (1979).

The main objective of this work is to explore the problem: the use of artificial neural networks for the retransmission of the encoding of images of large satellites. The central accreditation uses fixed and arbitrary keys in the learning process, such as classical symmetric and asymmetric coding. The network used is NxMxN neurons, hidden levels and output. The network is being trained to regulate the weight and the bias receives a fixed value from 0 to 1 after normalization. Is biased is determined. The supply capacity between the input layer and the hidden layer, the layer acts as the first key (K1), while the bias is partial, the hidden layer and the outer layer represent the second key (K2)..............

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[2]. ErolGelenbe, Stelios Timotheou, "R Synchronized interactions ", Neural Com © 2008 Massachusetts Institute of Tech
[3]. I. Kanter, W.Kinzel, "The Theory of Cryptography ", Quantum Computers an
[4]. R. M.Jogdand1 and SahanaS.Bisalapur KEY GENERATION NEURAL ", In Intelligence & Applications (IJAIA), V
[5]. Roland E. Suri, Terrence J. Sejnowski, long asymmetric asymmetric lea ( (2002) DOI 10.1007 / s00422-002-0355-)

Smart Televisions are offering an ever-growing number of features such as Internet access, media player's built-in cameras and microphones. They are physically placed in sensitive locations and connected to trusted home and business networks. Smart Televisions use the same operating systems and software as regular Personal Computers, leaving them vulnerable to attacks. Security updates are provided less frequently. As these systems are closed, it is difficult for users to find out and examine if the TV has been compromised. This paper shows us that Smart Televisions must not be considered trust worthy. They pose a severe security and privacy threat. We show that the integrated media player is highly vulnerable.

Keywords: Smart Televisions, Apps, Web Browser, Media player and Attack

[1]. FFmpeg. FFmpeg security. http://www.ffmpeg.org/security.html.
[2]. M. Ghiglieri, F. Oswald, and E. Tews. HbbTV - I know what you are watching. In 13. Deutscher IT-Sicherheitskongress. SecuMedia Verlags-GmbH, May 2013.
[3]. A. Grattafiori and J. Yavor. The outer limits: Hacking the Samsung smart tv. In BlackHat USA, July 2013. https://www.blackhat.com/us-13/ archives.html#Grattafiori.
[4]. T. Klein. FFmpeg type conversion vulnerability. http://www.trapkit.de/ advisories/TKADV2009-004.txt.
[5]. M. Melanson. 4xm format. http://wiki.multimedia.cx/index.php?title= 4xm_Format

The 4G technology has been deployed in so many countries but have some issues related to spectrum & energy consumption.5G is the name being to the next generation (4G) of the wireless network which can solve the issues like spectrum & energy consumption.5G gives faster data rate. It is very useful in various consumer& industrial applications. Standardization of 5G network is a great challenge in front of many cellular networks nowadays. There are already multiple groups working to come up with standards around interoperability, backward compatibility with older technologies (4G, 3G). The main features in 5G mobile network is that user can simultaneously connect to the multiple wireless.............

Keywords: 5G Architecture, Evolution from AMPS to LTE, Comparison of all Generations wireless communication standards, the Bridge between 4G & 5G, Need for 5 G.

[1]. Aleksandar Tudzarov and Toni Janevski, ―Functional Architecture for 5G Mobile Networks‖ International Journal of Advanced Science and Technology , Vol. 32, July, 2011.
[2]. Vadan Mehta ,―5g Wireless Architecture‖.
[3]. Akhilesh Kumar Pachauri 1 and Ompal Singh, ―5G Technology – Redefining wireless Communication in upcoming years‖ International Journal of Computer Science and Management Research, Vol 1, Issue 1 Aug 2012 ISSN 2278 – 733X.
[4]. Dr. Anwar M. Mousa University of Palestine,Gaza- Palestine, ―Prospective of Fifth Generation Mobile Communications‖ International Journal off Next-Generation Network (IJNG), Vol. 4, no. 3,Sept 2012.
[5]. Dr. Rakesh Jha ―A survey of 5G Network: Architecture and Emerging Technologies‖ IEEE Access, Vol 3, pp. no. 1206-1232, Aug 2015.

The 4G technology has been deployed in so many countries but have some issues related to spectrum & energy consumption.5G is the name being to the next generation (4G) of the wireless network which can solve the issues like spectrum & energy consumption.5G gives faster data rate. It is very useful in various consumer & industrial applications. Standardization of 5G network is a great challenge in front of many cellular networks nowadays. There are already multiple groups working to come up with standards around interoperability, backward compatibility with older technologies (4G, 3G). The main features in 5G mobile network is that user can simultaneously connect to the multiple wireless technologies and can switch between them. Radio technologies have evidenced a rapid & multidirectional evolution with the launch of the analogue cellular systems in 1980s.Thereafter, digital wireless communication systems in 1980s with the commencement of TDMA & FDMA Cellular Networks

Keywords: 5G Architecture, Evolution from AMPS to LTE, Comparison of all Generations wireless communication standards, the Bridge between 4G & 5G, Need for 5 G.

[1]. Aleksandar Tudzarov and Toni Janevski, ―Functional Architecture for 5G Mobile Networks‖ International Journal of Advanced Science and Technology , Vol. 32, July, 2011.
[2]. Vadan Mehta ,―5g Wireless Architecture‖.
[3]. Akhilesh Kumar Pachauri 1 and Ompal Singh, ―5G Technology – Redefining wireless Communication in upcoming years‖ International Journal of Computer Science and Management Research, Vol 1, Issue 1 Aug 2012 ISSN 2278 – 733X.
[4]. Dr. Anwar M. Mousa University of Palestine,Gaza- Palestine, ―Prospective of Fifth Generation Mobile Communications‖ International Journal off Next-Generation Network (IJNG), Vol. 4, no. 3,Sept 2012.
[5] Dr. Rakesh Jha ―A survey of 5G Network: Architecture and Emerging Technologies‖ IEEE Access, Vol 3, pp. no. 1206-1232, Aug 2015.

Clustering algorithms classify data points into meaningful groups based on their similarity to exploit useful information from data points. They can be divided into categories: Hierarchical clustering and Partition clustering algorithms, Clustering algorithms based on cost function optimization and others. In this paper, we discuss some hierarchical clustering algorithms and their attributes.

Keywords- Agllomerative, Divisive, Dendrogram

[1]. A.K. Jain, M.N. Murty and P.J. Flynn, Data clustering: A review, ACM Computing Surveys, 31(1999), 264-323.
[2]. N. A. Yousri, M. S. Kamel and M. A. Ismail, A distance-relatedness dynamic model for clustering high dimensional data of arbitrary shapes and densities, Pattern Recognition, 42 (2009), 1193-1209.
[3]. K. Koutroumbas and S. Theodoridis, Pattern Recognition, Academic Press, (2009).
[4]. M. Kantardzic ,Data Mining: Concepts, Models, Methods, and Algorithms, John Wiley & Sons,(2003).
[5]. R. Capaldo and F. Collova, Clustering: A survey, Http://uroutes.blogspot.com, (2008).

ARTIFICIAL NEURAL NETWORK INTRODUCTION The simplest definition of a neural network, more properly referred to as an 'artificial' neural network (ANN). ANNs are processing devices (algorithms or actual hardware) that are loosely modeled after the neuronal structure of the mammalian cerebral cortex but on much smaller scales. A large ANN might have hundreds or thousands of processor units, whereas a mammalian brain has billions of neurons with a corresponding increase in magnitude of their overall interaction and emergent behavior. Although ANN researchers are generally............

Keywords: Multilayer Perceptrons, Feed forward networks, Development of ANN

[1]. Ali Shah, S.A., ul Asar, A., Shaukat, S.F.: Neural Network Solution for Secure Interactive Voice Response. World Applied Sciences Journal 6(9), 1264–1269 (2009)
[2]. Nazeer, S.A., Omar, N., Jumari, K.F., Khalid, M.: Face detecting using Artificial Neural Networks Approach. In: First Asia International Conference on Modelling & Simulation (2007)
[3]. He, L., Hou, W., Zhen, X., Peng, C.: Recognition of ECG Patterns Using Artificial Neural Network. In: Sixth International Conference on Intelligent Systems Design and Applications, vol. 02 (2006)
[4]. D. R. Hush, B. G. Horne, "Progress in Supervised Neural Networks What‟s New Since Lipmann", IEEE Signal Processing Magazine, pp. 8-39, 1993.
[5]. M. T. Musavi, "On the Training of Radial Base Function Classifiers", Neural Networks, vol. 5, pp. 595-603, 1992.

For our project, we are using the microcontroller provided to make a device that would measure body fat percentage of human body. The basic principle behind the project is known as bioelectrical impedance analysis. This technique uses a small alternating current(AC) flowing between two electrodes attached to skin surface to determine impedance. By determining the opposition to the electric current through body tissues, we can easily estimate the water content of the human body and use it to estimate fat-free body mass. The V-I response characteristics of these tissues can provide a good estimation of percentage body fat.

Keyword: opto-isolator,BIA, TBW, FFM, FM and BMI.

[1]. M. A. C. Martı´n, B. de Mateo Silleras, and M. P. Redondo delRı´o,"Body composition analysis in older adults with dementia. Anthropometry and bioelectrical impedance analysis: A critical review," Eur. J.Clin.Nutr., vol. 68, no. 11, pp. 1228–1233, Nov. 2014.
[2]. R. F. Kunshner, R. Gudivaka and D. A. Schoeller"Clinicalcharacteristics influencing bioelectrical impedance analysismeasurement", Am. J. Clil.Nutr.vol. 64 (suppl), pp 423s-427s., 1996.
[3]. Sung-HoonBae*, Byoung-Sam Moon**, Woo-Jae Lee**, Shin-IlLim*,"A Chip Design for Body Composition Analyzer",IEEE International Workshop 2006. pp. 218-221.
[4]. P. Ritz, A. Sallé, M. Audran, and V. Rohmer,"Comparison of differentmethods to assess body composition of weight loss in obeseand diabetic patients,"Diabetes Res. Clin. Practice, vol. 77, no. 3, pp.405–411, Sep. 2007.
[5]. M. S. Mialich, J. M. F. Sicchieri, and A. A. J. Junior, "Analysis of bodycomposition: A critical review of the use of bioelectrical impedanceanalysis,"Int. J. Clin. Nutr., vol. 2, no. 1, pp. 1–10, 2014.

Computer numerical control is basically a conversion of designs produced by computer aided design into numbers. This machine is mainly used for engraving, cutting and drilling on materials such as wood, metal, acrylic and PCB objects. The idea behind this machine is that it should be cheap and reduce the working complexity. GRBL is used for running the machine which is an open source and runs on Arduino UNO. It has a work area of 270 × 430 × 100 mm (X, Y, Z) which is reasonably a good working space . The use of Arduino UNO makes this machine cost efficient without limiting the features and overall performance along with high accuracy of design.

Keywords: CNC, Arduino UNO, G-code, GRBL.

[1]. GautamJodh, PiyushSirsat, NagnathKakde, SandeepLutade,"Design of low Cost CNC Drilling Machine",International Journal of Engineering Research and General Science Volume 2, Issue 2, Feb-Mar 2014 ISSN 2091-2730
[2]. KajalJ.Madekar, Kranti R. Nanaware, Pooja R. Phadtare, Vikas S. Mane," Automatic mini CNC machine for PCB drawing and drilling", International Research Journal of Engineering and Technology (IRJET), Volume: 03 Issue: 02 | Feb-2016 e-ISSN: 2395 - 0056
[3]. RoshniGhodmare, SonaliTandulkar, C.D.Raut,"PCB Engraving and Drilling Machine in IJRISE",vol. 3, no.2,2017,ISSN 2394- 8280
[4]. P Kulkarni Bharat, S Mali Priyadarshani, S Mali Shriprasad, R SutarRaghavendra," Arduino Based 3 Axis PCB Drilling Machine", IJETER, vol. 4, no. 6, 2016, ISSN 2454-6410

3D printing is a kind of direct manufacturing technology and is called rapid prototyping, based on digital model files which can make almost any shape of 3D entities. There is no doubt that 3D printing will bring a revolutionary impact on manufacturing. The aim is to create a state-of-art machine controlled by a computer and capable of producing a 3D solid representation of a CAD model in plastic form through an extruder. Fused Deposition Modeling (FDM) used here is an additive manufacturing technology for printing 3D objects layer by layer. The main purpose of the research is to develop a low-cost 3D printer using easily available materials and layer by layer methods for fabrication which can be used to print objects confined within 300 x 300 x 300 (in mm) printing area.

Keywords- Fused Deposition Modeling, Arduino Mega, 3D Printer, Prototype, CAD software, Filaments

[1]. Bob Hayward, David Moschella, Jon Schreiber, Simon Wardley, Howard Smith, "3D printing and the future of manufacturing" CSE, the rise of 3Dprinting.
[2]. Yin He'*, Wen Quangang, Lin Gang, Li Tingting, "Research on the Control Method of 3D Printer based on FDM Technology" 2017 8th International Conference on Mechanical and Intelligent Manufacturing Technologies(ICMIMT)
[3]. MedhaviKamaran, AbhishekSaxena "A Comprehensive Study on 3D Printing Technology" MIT International Journal of Mechanical Engineering, Vol. 6, No. 2, August 2016.
[4]. Thabiso Peter Mpofu, CephasMawere, Macdonald Mukosera "The Impact and Application of 3D Printing Technology" International Journal of Science and Research (IJSR) ISSN (Online): 2319-7064 Impact Factor (2012): 3.358.

On 12 May 2017, a massive ransomware attack occurred across a wide range of sectors, including health care, government, telecommunications and gas. To date, WannaCry has spread to over 300,000 systems in over 150 countries. The countries that appear to be the most affected are Russia and China, probably because of the high percentage of legacy software, with significant impacts elsewhere, notably to the UK National Health Service. The spread of the ransomware reportedly slowed in the two days following the launch of the attack, in part due to the discovery of a "kill switch" in its code. However, there are reports of new variants of the malware (such as) which do not have this kill switch. Data on new variants is unconfirmed and limited at the moment, EY publish updates as more information becomes available

Keywords- kill switch, ransomware and legacy software.

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Artificial Intelligence and Machine Learning are the terms of computer science. This article discusses some points on the basis of which we can differentiate between these two terms. The word Artificial Intelligence comprises of two words "Artificial" and "Intelligence". Artificial refers to something which is made by human or non natural thing and Intelligence means ability to understand or think. There is a misconception that Artificial Intelligence is a system, but it is not a system .AI is implemented in the system. There can be so many definition of AI, one definition can be "It is the study of how to train the computers so that computers can do things which at present human can do better."Therefore It is a intelligence where we want to add all the capabilities to machine..........

[1]. https://towardsdatascience.com/clearing-the-confusion-ai-vs-machine-learning-vs-deep-learning-differences- fce69b21d5eb.

This work describes the recent advancements in piezoelectric energy harvesting concepts for smart city applications. Several works have been reported which discussed the detailed design and use of different piezoelectric materials to harvest energy from vibration. In the smart city context there are many opportunities to convert mechanical to electrical such as human motion, sounds, machines and streets. Researchers have studied the factors that affect the amount of the output generated power from various sources to determine its efficiency. Effect of harvester structure, material that is used in fabricating the harvester mobility of human in its location, and other factors have been studied. Efficiency of piezoelectric harvesters is an essential parameter to judge the performance of the prototype for the betterment of energy resources.

Keywords: piezoelectric, Energy harvesting.

[1] IEEEJOURNALS
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[2]. "Piezoelectricity" in Selected Engineering Reports of the Post Office Research Station, Eng., Dollis Hill, London:H. M. Stationery Office,1957.
[3]. L. Kelvin, "On the piezoelectric property of quartz", Phil.Mag.,vol. 36, pp. 331-340, October

Robotics is the most influential field in technology. Use of robots is exponentially growing in every industry. A gesture controlled robotic arm is proposed in this paper. The structure of the arm comprises of four fingers, a thumb, a rotating arm, and an elbow. Bend sensors also known as flex sensors are used to control the movements of the fingers and accelerometers for the movement of the arm and the elbow respectively. The arm is controlled wirelessly using transceivers. The movements of the fingers are controlled by cables that act as cords of the human arm. The interface between hardware and software is achieved using ATmega microcontrollers.

[1]. Shamsheer Verma, "Hand Gesture Remote Control Robotic Arm", Advance in Electronic and Electric Engineering. ISSN 2231- 1297, Volume 3, Number 5 (2013), pp. 601-606
[2]. Afzal, Waseem. (2017). Gesture Control Robotic Arm Using Flex Sensor. Applied and computational mathematics 6.171.10.11648/j.acm.20170604.12.
[3]. Rodríguez Fdez I., Mucientes M., BugarínDiz A. (2015) Application of Fuzzy Techniques to Autonomous Robots. In: Kacprzyk J., Pedrycz W. (eds) Springer Handbook of Computational Intelligence. Springer Handbooks. Springer, Berlin, Heidelberg
[4]. Raheja, Jagdish &Shyam, Gestures. 10.5772/25512. R adhey&Rajsekhar, Arun & Bhanu Prasad, P. (2012). Real-Time Robotic Hand Control Using Hand

In present days all of us are living in modern society and are full of pressure from all kinds of environment every day. With the changing dining habits, people are prone to many chronic diseases [1]. Most chronic diseases like Alzheimer, diabetes etc. need special care from nursing staff to remind the patient, when to have the correct medicine. Patients usually forget to punctually have medicine once they leave the hospital and reach their homes. This situation of neglecting or forgetting to have medicine according to doctor's instruction often causes many un-fortunate deaths of patients. The research work done on this study includes a medicine box as the main part of product which..........

Keywords: GSM communication module, voice module, Intelligent monitoring (LCD), Microcontroller, Interface, push button.

[1]. HSU CHUN-LIANG, E.E Department OF SAINT JOHNS University, Taiwan. "Intelligent Reminder System of Having Medicine For Chronic Patients", (2007).
[2]. Rohan V. Vaidya and Darshan K.Trivedi, "M-Health: A Complete Healthcare Solution", (2017): 556-561.
[3]. Dr.D.Jayashree, Afritha Farhath.K, Amruthavarshini.R, "Voice Based Application as Medicine Spotter For Visually Impaired", (2016): 56-60.
[4]. A.Jabeena, "Automatic Pills Reminder for Easy Supervision", (2017): 98-102.

Transportation has become very difficult in mega cities like Mumbai.The public transport system especially buses are developing around the globe on a rapid scale.such public transports reduce the usage of personal vehicles thereby reducing fuel consumption,trafficcongestion,saving the commuters valuable time and thereby improving his overall travel experience.The problem with the buses in Mumbai is that they are almost everytime not on time.This leads to the commuter waiting at the bus stop for more than 30-35 minutes to board his particular bus.The approximate arrival time of BUSES is known but there could also be delay in arrival thanks to traffic. Seeingthat people started avoiding public.........

[1]. Gunjal Sunil N. , Joshi Ajinkya V. , GosaviSwapnil C. , KshirsagarVyanktesh B, "Dynamic Bus Timetable Using GPS" International Journal of Advanced Research in Computer Engineering & Technology (IJARCET) , ISSN:2278-1323, Volume 3, Issue 3, March 2014.
[2]. Karan Punjabi, Pooja Bolaj, PratibhaMantur, SnehaWali, "Bus Locator via SMS Using Android Application" International Journal of Computer Science and Information Technologies (IJCSIT) , ISSN :0975-9646, Volume 5(2), 2014.
[3]. Dr.(Mrs.) SayleeGharge, Manal Chhaya, Gaurav Chheda, Jitesh Deshpande, NiketGajra, "Real Time Bus Monitoring System Using GPS" Engineering Science and Technology: An International Journal (ESTIJ), ISSN:2250-3498, Volume 2, Number 3, June 2012.
[4]. AmolDhumal, AmolNaikoji, YutikaPatwa, ManaliShilimkar, Prof. M. K. Nighot, "Survey Paper on Vehicle Tracking System using GPS and Android"International Journal of Advanced Research in Computer Engineering & Technology (IJARCET), ISSN: 2278 – 1323, Volume 3 Issue 11, November 2014