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This paper presents Improved Invasive Weed Optimization (IIWO) for solving optimal reactive power problem. Particle Swarm Optimization (PSO) has been combined with Invasive weed optimization (IWO) to enhance exploration & exploitation capability for solving the optimal reactive power Problem. In this paper, the idea of intelligent swarming, social cooperation, competition, and reproduction in an optimization meta-algorithm has been merged.In order to evaluate the efficiency of the proposed algorithm; it has been tested on IEEE 57 bus system and simulation results reveals about the best performance of the proposed algorithm in reducing the real power loss.

Invasive weed, optimal reactive Power dispatch,Transmission loss

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K. Lenin , "Improved Invasive Weed Optimization for Solving Optimal Reactive Power Problem," International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.576-580, 2018.

As we know the AI and IoT are one of the most emerging domains nowdays . IoT mainly focuses on to make human life more easier i.e. Every person having its own smart phone through which he can do many tasks from anytime anywhere. In today’s world, Artificial Intelligence (AI) has begun to take center stage. One of the most important uses of AI in recent times has been its application in automated vehicle. The recent trend has been moving towards the creation of robotic devices which are capable of making spontaneous and effective decisions in demanding situations.In this paper we have created an Auto-following robo car. Here we have used Raspberry Pi3 Model B which is having many features with their inbuilt library functions like Wifi ,USB connector ,HDMI port, External SD card support. Hence its seems like mini computer. We are also using ultrasonic sensors, Bluetooth sensor, WIFI module, Camera ,gas leak sensor ,humidity sensor along with the Raspberry Pi. Here we are introducing image processing for live video streaming through web page. The main purpose is to provide the service for elderly peoples who lives alone at home when there is nobody at home. It is mainly focuses on image processing, obstacle detection and avoidance , image processing, live streming and through this concepts we can monitor and control the system from our device.

Image processing, Auto following ,WIFI, Ultrasonic sensors ,Raspberry Pi

[1] Aravinda Ramakrishnan Srinivasan, and Subhadeep Chakraborty Member, IEEE” Path planning with user route preference - A reward surface approximation approach using orthogonal Legendre polynomials” 2016 IEEE International (CASE) Fort Worth, TX, USA, August 21-24, 2016
[2] Noel Sharkey, University of Sheffield,” Cassandra or False Prophet of Doom: AI Robots and War” H i s t o r i e s & F u t u r e s
[3] Martin V. Butz, Matthias J. Linhardt, and Thies D. Lönneker,” Effective Racing on Partially Observable Tracks:Indirectly Coupling Anticipatory EgocentricSensors With Motor Commands” IEEE TRANSACTIONS ON COMPUTATIONAL INTELLIGENCE AND AI IN GAMES, VOL. 3, NO. 1, MARCH 2011
[4] Min Xu1, Huazhen Zhang1, Hongji Tang1” Design of Motion Control System for Robot Car Based on DSP” 978-1-5090-4657-7/17/$31.00 c 2017 IEEE
[5] Markus Johansson, Keijo Haataja, Jarno Mielikainen, Pekka Toivanen, Department of Computer Science University of Kuopio P.O.Box 1627, FIN-70211 Kuopio, Finland” Designing and Implementing an Intelligent ZigBee and WLAN Enabled Robot Car”
[6] S R Madkar (Assistant Professor), Vipul Mehta, Nitin Bhuwania, Maitri Parida,” Robot Controlled Car Using Wi-Fi Module” Volume 6, Issue 5, May 2016 ISSN: 2277 128X International Journal of Advanced Research in Computer Science and Software Engineering
[7] Tzuu-Hseng S, Chih-Yang Chen, Kai-Chuin Lim,” Combination of Fuzzy Logic Control and Back Propagation Neural Networks for the Autonomous Driving Control of Car-Like Mobile Robot Systems” SICE Annual Conference 2010 August 18-21, 2010, The Grand Hotel, Taipei, Taiwan
[8] Prashanth C R, Sagar T, Naresh Bhat, Naveen D, Sudhir Rao Rupanagudi, R Ashok Kumar,” Obstacle Detection & Elimination of Shadows for an Image Processing Based Automated Vehicle” 2013 (ICACCI)
[9] Brian Paden∗,1 , Michal Cáp ˇ ∗,1,2 , Sze Zheng Yong1 , Dmitry Yershov1 , and Emilio Frazzoli1,” A Survey of Motion Planning and Control Techniques for Self-driving Urban Vehicles” 25 Apr 2016
[10] Hung-Chi Chu*, Ming-Fu Chien, Tzu-Hsuan Lin and Zhi-Jun Zhang,” Design and Implementation of an Auto-Following Robot-Car System for the Elderly” 2016 International Conference on System Science and Engineering (ICSSE) National Chi Nan University, Taiwan, July 7-9, 2016
[11] See discussions, stats, and author profiles for this publication at https://www.researchgate.net/publication/316923208 “WiFi Based Human Tracking Robot”
[12] Huanhuan Yang1, Yinqiu Wang2,∗,Li Gao3,” A General Line Tracking Algorithm Based on Computer Vision” 978-1-4673-9714-8/16/$31.00 c 2016 IEEE
[13] Gurjashan Singh Pannu, Mohammad Dawud Ansari, Pritha Gupta Netaji Subhas,” Design and Implementation of Autonomous Car using Raspberry Pi” International Journal of Computer Applications (0975 – 8887) Volume 113 – No. 9, March 2015
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Namrata Moghe, Vikas Maral, Ashish Panchal, Kiran Baing, ReshmaDhamal, "Design and Implementation of Robocar in Various Modes Using IoT and Image Processing," International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.581-587, 2018.

With increasing number of websites the Web users are increased with the massive amount of data available on the internet which is provided by the Web Search Engine (WSE). The aim of the WSE is to provide the relevant search result to the user with the behavior of the user click were they performed. WSE provides the relevant result on behalf of the user frequent click based method. From this method, no assurance to the user privacy and also no securities were providing to their data. Hence users were afraid for their private information during the search has become a major barrier. There were many techniques proposed by researchers of those most of them are based on the server side where it encompasses many security concerns. For minimizing the privacy risk this paper addresses a client-side based technique with the combination of a Greedy method to prevent the user data that we applied in Knowledge mining area.

Web Search Engine, personalized search, user query logs, content search and privacy preserving

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M. Akhila, K. Madhavi, "EEDS: An Efficient Multi Keyword Search Scheme over Encrypted Data on Mobile Cloud," International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.588-593, 2018.

Now-a-days renewable energy resources like solar, wind and hydrogen must be developed in order to stabilize and reduce carbon dioxide emissions. Efficiency slows down the demand growth so that rising clean energy supplies can make deep cuts in fossil fuel use. Otherwise if energy use grows too first, renewable energy development will chase receding target. Different generations of Photovoltaic (PV) cells with their efficiency rate and scope of their use, in regards to practical application with economic fall outs, were also spell out from the case study. Currently, photovoltaic (PV) panels only have the ability the ability to convert 16% of the sunlight that hits them into electricity. Many experts believe that the solar energy is not efficient enough to be economically sustainable given the cost to produce the panel themselves. Cost of PV being shown to be the main contributor in terms of deciding the economy of PV –based power generation scheme. Presently the economy evaluation of solar PV and solar heating like solar cooker, solar pond etc. were assessed here in regards to their merit and demerit.In concern with different aspects on cost evaluation for on-shore and off-shore wind energy regarding the development of wind firm at particular site were assessed. In order to avail the wind energy value per square meter at a concerned site for a particular wind speed could also be ascertained. A wind firm is a group of wind turbines in the same location used to produce electric power. A large wind farm may consist of several hundred individual wind turbines and cover an extended area of hundreds of square miles. A rigorous study in different corners on the economy of the production of hydrogen in terms of splitting water that is electrolysis was made and it was noted that the ocean thermal energy conversion system generated electricity would be the best cost effective method. On examination it has been found that H2 fuel cell combine as transport fuel, it could be shown that a single 100 MW ocean thermal energy can cater to 30 hydrogen refueling stations, each with 250 vehicle movements per day.Feasibility study is carried out on optimized hybridization of combination of PV –wind with H2, for uninterrupted power supply at different concerned areas.

Solar Energy, Wind Energy, Solar Pond, PV module, Wind speed, Hydrogen energy, Electrolysis, Hybrid System

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Maya Nayak, "A Review on Hybrid Renewable Energy – Solar, Wind and Hydrogen Energy," International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.594-599, 2018.

Now a day’s use of social networking sites like Instagram, Facebook, Twitter, has increased due to its popularity on network for Communication and maintaining relationship among various users. Each user that uses the social networking sites will make its profiles and upload its private information. These social networks users are not aware of numerous security risks included in these networks like privacy and identity theft. To overcome these kind of threats, an attempt has been made in this paper to identify fake posts in instagram social networks. To identify fake posts, grade-based approach is proposed in which grade of fake profiles are distinguished from genuine profiles. The proposed mechanism is analyzed using Weka tool with performance metrics like Precision, recall, F-measure and ROC curves. The results show that proposed mechanism detects more fake posts.

Fake Posts, Fake Profile, Instagram, Online Social Networks, and Weka.

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[2]. Nandhini, M. and Das, B.B., “An assessment and methodology for fraud detection in online social network”, IEEE Second International Conference on In Science Technology Engineering and Management (ICONSTEM), pp. 104-108,2016.
[3]. Yadav, Neha M., and P. N. Chatur. "Compromised Account Detection and Prevention by Profiling Social Behavior and FASS Key Concept." In Recent Trends in Electrical, Electronics and Computing Technologies (ICRTEECT),International Conference on, pp. 164-168. IEEE, 2017.
[4]. Van Der Walt, Estée, and Jan Eloff. "Using Machine Learning to Detect Fake Identities: Bots vs Humans." IEEE Access 6 (2018): 6540-6549.
[5]. Egele, Manuel, GianlucaStringhini, Christopher Kruegel, and Giovanni Vigna. "Towards detecting compromised accounts on social networks." IEEE Transactions on Dependable and Secure Computing 14, no. 4 (2017): 447-460.
[6]. Dr. SanjeevDhawanandEkta, “Implications of Various Fake Profile Detection Techniques in Social Networks”, IOSR Journal of Computer Engineering (IOSR-JCE) e-ISSN: 2278-0661, p-ISSN: 2278-8727, pp:49-55,2016.
[7]. Ekta, “ Reputation Based Technique to Distinguish Posts in Facebook Social Network ”, 5th International Conference on Reliability, Infocom Technologies and Optimization (ICRITO) (Trends and Future Directions), pp:307-312,2016.
[8]. SanjeevDhawan, KulvinderSinghand Sanjay Sagwal, “Identification of Malicious Posts in Facebook Social Networks”, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, ISSN: 2456-3307, Vol.2, Issue 5, pp: 43-46, 2017.
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Sanjeev Dhawan, Kulvinder Singh, Pooja, "Identification of Fake Posts in Instagram using Grade based Approach in Online Social Networks," International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.600-603, 2018.

This paper presents a novel APSO Based LLWNN (Local Linear Wavelet Neural Network) model for automatic brain tumordetection and classification.The Improved Enhanced fuzzy c means(IEnFCM) algorithm has been proposed for image segmentation and the GLCM (Gray Level Cooccurrence Matrix) feature extraction technique has been used for feature extraction from MR images.This paper aims to use the hybrid models and algorithms for classification and segmentation of brain tumors from the MR images. The extracted features have been fed as input to the proposed APSO based LLWNN model for classification of Beignin and Malignant tumors. In this research work the proposed LLWNN model weights are optimised by using APSO training which will provide unique solution to relief the hectic task of radiologist from manual detection of brain tumors from MR Images. Also the centersof the LLWNN model are also chosen by the Enhanced Fuzzy C Means algorithm and updated by the APSO algorithm. The results of proposed PSO based LLWNN model has been compared with PSO-LLWNN model, APSO-RBFNN and PSO-RBFNN model and the comparison results also presented in this paper. The experimental results obtained from the proposed model shows better classification results as compared to the existing models proposed.

Fuzzy c means algorithm (FCM), Enhanced fuzzy c means(EnFCM), RBFNN,LLWNN(Local Linear Wavelet Neural Network),APSO(Accelerated Particle Swarm Optimization),PSO

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[56] A. Patra, S. Das, S. N. Mishra, M. R. Senapati , “An adaptive local linear optimized radial basis functional neural network model for financial time series prediction” Neural Computing and Applications, vol.28, Issue 1, January 2017 ,Pages 101-110, doi:10.1007/s00521-015-2039-0.
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Premananda Sahu,Satyasis Mishra, M.Vamsi Krishna,Tadesse Hailu Ayane, "Brain tumour Detection and Classification using APSO Based LLWNN Model and Improved Enhanced Fuzzy C Means Algorithm from Magnetic Resonance image," International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.604-615, 2018.

Validation and Verification in Composite web service development process is basic need to provide trust in between developers who are handling this development process using cloud service through different geographical locations. In this research work, V&V process simulated through Web Service Simulator using Asp. Net Web Services controlled by Web application. In continuity, complete demonstration of customers and web service interaction is simulated. This research work answers the questions as How data has been verified and validated so that it does not create any threats for the developers system, How intruder have not access to data without complete authentication. The research is also demonstrates the role based limitation in web service development. Web Services Simulator (WSS) used the concept of SOAP and it monitored and controlled security threats through a web application that are imposed via attackers at several points..

Web Services, Composition of Web Services, SOAP , Validation and Verification, WSDL, UDDI, Web security Attacks, Threats Classification

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[3] W. T. Tsai, Y. Chen, R. Paul N. Liao, and H. Huang, “Cooperative and Group Testing in Verification of Dynamic Composite Web Services”, in Workshop on Quality Assurance and Testing of Web-Based Applications, in conjunction with COMPSAC, September 2004, pp.170-173.
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[9] Web Application Security Consortium.http://www.webappsec.org
[10] Roberto Chinnici, Hugo Haas, Amelia A. Lewis, Jean-Jacques Moreau, David Orchard,SanjivaWeerawarana, “Web Services Description Language (WSDL) Version 2.0 Part 2”: AdjunctsW3C Recommendation 26 June 2007.Copyright © 2007 W3C® (MIT, ERCIM, Keio)
[11] Kung-Kiu Lau and Cuong Tran, “Composite Web Services”, Chapter: Emerging Web Services Technology, Volume II, Part of the series:Whitestein Series in Software Agent Technologies and Autonomic Computing, pp 77-95
[12] DimkaKarastoyanova and Alejandro Buchmann, “Development Life Cycle of Web Service-based Business Processes. Enabling Dynamic Invocation of Web Services at Run Time”, ICSOC’05: The 3rd International Conference On Service Oriented Computing, 2004.
[13] Karthikeyan Bhargavan, Ricardo Corin,CedricFournet,Andrew D. Gordon, “Secure Sessions for Web Services”,ACM Workshop on Secure Web Services, October 29, 2004, Fairfax VA,USA.Copyright 2004 ACM 1-58113-973-X/04/0010
[14] Muhammad Ahtisham Aslam, Jun Shen,Michael Herrmann, “An Integration Life Cycle for Semantic Web Services Composition”,11th International Conference on Computer Supported Cooperative Work in Design, 2007, E-ISBN :1-4244-0963-2, Print ISBN:1-4244-09624 DOI:10.1109/CSCWD.2007.4281485, Page(s):490 – 495.
[15] Zhaohao Sun, Dong Dong, Jun Han, “A Demand Driven Web Service Lifecycle”, New Trends in Information and Service Science, 2009. NISS `09, DOI: 10.1109/NISS.2009.135
[16] Oracle® Application Server Web Services Developer`sGuide, 10g (10.1.3.5.0), Part Number E13982-01
[17] F. Curbera, M. Duftler, R. Khalaf, W. Nagy, N. Mukhi,and S.Weerawarana, “Unraveling the Web Services Web: An Introduction to SOAP, WSDL, and UDDI,” IEEE Internet Computing, vol. 6,no. 2, pp. 86-93, Mar./Apr. 2002
[18] Martin Gudgin, Marc Hadley,Noah Mendelsohn, Jean-Jacques Moreau, Henrik Frystyk Nielsen, Anish Karmarkar, Yves Lafon, “SOAP Version 1.2 Part 1: Messaging Framework (Second Edition)”, W3C Recommendation 27 April 2007.

G. Raj, M. Mahajan, D. Singh, "V&V Analysis of Composite Web Service using WS Simulator for Trust Management in WS Lifespan," International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.616-624, 2018.

This paper presents an Advanced Fireworks Algorithm (AFA) for solving optimal reactive power dispatch problem. Fireworks algorithm (FWA) is inspired by the fireworks explosion in the sky at night. When a firework bursts, a shower of sparks appears around it. In this way, the neighboring area of the firework is explored. By directing the amplitude of the explosion, the capability of confined exploration for Advanced Fireworks Algorithm (AFA) is guaranteed. The way of fireworks algorithm probing the neighboring area can be further enriched by differential mutation operator. In order to assess the efficiency of proposed algorithm, it has been tested on IEEE 30 system and compared to other standard algorithms. The simulation results demonstrate worthy performance of the Advanced Fireworks Algorithm (AFA) in solving optimal reactive power dispatch problem.

optimal reactive power, Transmission loss, Fireworks algorithm, differential mutation operator.

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K. Lenin, "Advanced Fireworks Algorithm for Solving Optimal Reactive Power Dispatch Problem," International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.625-631, 2018.

A vehicular Ad-hoc network is an ad-hoc network of vehicles supported by fixed infrastructure. It is characterized by a highly dynamic topology with vehicles moving in a restricted road environment with different speeds. Vehicles are equipped with wireless communication devices known as On-Board Units (OBU) which enables them to communicate with other vehicles and Roadside Units. Vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) are two typical modes of vehicle communication in VANETs. Envisioned applications such as traffic accident prevention, battlefield control commands transmission and emergency coordination rescue arose a great deal of academic and industrial research on Vehicular Ad hoc Networks. In this research, developed a new security scheme called elliptic curve cryptography and ESSAP uses an algorithm to create the encrypted string. Using the encrypted string elliptic curve cryptography generated a docket, which will be transmitted from one node to another. The receiver node may desire to know that the docket has not been attacked in transit. In proposed research from our usage demonstrate that elliptic curve cryptography can ensure multicast source legitimacy and fundamentally upgrade the effectiveness of verification for multicast correspondence in VANETs, and our execution demonstrates that elliptic curve cryptography plan can be effortlessly conveyed in genuine vehicular ad-hoc network condition.

Elliptic curve cryptography, Key Generation, Security

[1] X. lin, X. Sun, X. Wang, C. Zhang, P. Ho, X. Shen.“TSVC: Timed Efficient and Secure Vehicular Communications with Privacy Preserving.” IEEE Transactions on Wireless Communications, to appear.
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[8] H. Harney and C. Muckenhirn. Group Key Management Protocol (GKMP) architecture.RFC 2094, 1997.
[9] X.Hong, M.Gerla, G.Pei, and C.Chiang. A group mobility model for ad hoc wireless networks. In Proceedings of the ACM International Workshop on Modeling and Simulation of Wireless and Mobile Systems (MSWiM), August 1999.

R. Suganya, "A Dynamic Key Based Authentication Using Vehicular Ad-Hoc Network Communication," International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.632-636, 2018.

The present study provides the study of audible frequency levels for blue hearing system for any patient during mapping session. Blue Hearing System[1] is an alternative system to provide the listening sense for deaf and mute patients. Here the neural response telemetry data has been compared with the comfort level data for the user for all the electrodes present in the inner instrument of BHS. The study significantly concludes that inner most and outer most electrodes have less difference between threshold and comfort level in comparison to middle electrodes of the spiral in the instrument. The analytical part and the graphical user interface has been designed and implemented using MATLAB.

Blue Hearing System (BHS), Neural Response Telemetry(NRT), Mapping

[1] P. Saxena, “A Note on Blue Hearing System (BHS) to Develop Speech in Deaf and Mute People”, Recent Research in Science and Technology, Vol. 2, Issue No. 9, pp. 04-07, 2010.
[2] V. R. Pradeep, “A comparative Study on the Differences between NRT and Behavioral Mapping in Cochlear Implant- A Single Case Study”, Global Journal of Otolaryngology, Vol.9 Issue No.4 , pp.01-04,2017.
[3] Rosenzweig Elizabeth, “Mapping a Cochlear Implant”, Auditory Verbal Therapy, October 24, 2011, https://auditoryverbaltherapy.net/2011/10/24/mapping-a-cochlear-implant/
[4] G. Kokturk , “Wavelet based Speech Strategy in Cochlear Implant”, Cochlear Implant Research Updates, pp. 39-58, April 2012, https://www.intechopen.com/books/cochlear-implant-research-updates/wavelet-based-speech-strategy-in-cochlear-implant
[5] H. Ali ,J.H.Noble, R.N. Gifford, R.F. Labadie ,B. M. Dawant, J. H.L .Hansen, E. Tobey, “Image-Guided Customization of Frequency-Place Mapping in Cochlear Implants”, Proceedings of IEEE conference ICASSP, pp. 5843-5847, 2015.
[6] R. Mittal, S.S. Panwar , S. Nair, V.R. Sinha , A. V. Ramesh , A. Nilkanthan and P. Raj , “Mapping of Paediatric Cochlear Implant Recipients using EABR as a Tool”Journal of Otology & Rhinology,Vol. 4, Issue No. 2, pp. 01-04, 2015
[7] Stakhovskaya O., Sridhar D., Bonham B.H., Leake P.A., “FrequencyMap for the Human Cochlear Spiral Ganglion: Implications for Cochlear Implants”, Journal of the association for research in Otolaryngology, JARO 8: 220-233, 2007.

Parul Saxena, Ashish Mehta, "Study of Audible Frequency Levels in Mapping Phase of Blue Hearing System using MATLAB GUI," International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.637-641, 2018.