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Code and design smells are the poor result to recurring implementation and design problems. They may hinder the progress of a system by building it hard for software engineers to carry out transform. Detection of code smells is very challenging for code developers and their informal definition leads to the completion of detection techniques and tools. Several refactoring tools have been developed. A bad smell is a sign of some setback in the code, which requires refactoring to deal with. Various tools are offered for detection and deduction of these code smells. These tools are different significantly in detection methodologies.

Code smell detection tools, Detection techniques, MobileMedia (MM), Health Watcher (HW)

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S.James Benedict Felix, Viji Vinod, "A Study on Different Tools for Code Smell Detection," International Journal of Computer Sciences and Engineering, Vol.6, Issue.7, pp.762-764, 2018.

In the computing world everywhere, everything and every time service on demand to end users is the motive of the cloud computing. The cloud computing aim is to work on as a service model. The cloud computing is designed with the significant architecture, special models for deployment and its features. The concept of cloud computing saves the time, cost and efficiency of everyone. In this research paper, there are some serious issues which are being tried to be solved by the proposed algorithms. These issues are basically occurring between the providers and the users. The proposed algorithm solved some of the issues. The observation clarifies the results of the algorithm. To get the efficient and effective results the algorithm uses the concept of the Ontology system. The ontology system clarifies the cost, time and pathway of the information. What should be the minimum cost of the system so the data is accessed with the high speed? The efficient algorithm is being designed on the specific platforms of the Ontology and the cloud simulator. At last this paper got the best service for the requested users at the best time.

Performance Parameters; Cloud Computing; Scheduling Algorithms; Ontology Algorithms; Ontology Simulators; Cloud Simulator.

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Ajayveer Chouhan, Chander Diwaker, "Performance Evaluation of Cloud Computing System and Ontology based on efficient Parameters," International Journal of Computer Sciences and Engineering, Vol.6, Issue.7, pp.765-771, 2018.

From the last decades, social media websites are useful to user to upload their photos and videos with tags. The social tagging systems are useful to generate the image search engine. The tag based image search engine is used to find the images which are uploaded by different social users from the social websites like facebook, flickr. The tag based image search (TBIS) by inter and intra user re-ranking is sorting the images according to their view feature, semantic relevance measurement and visual feature. To overcome the tag mismatch and query ambiguity problem the tag based image search system can remove the duplicate images from the same user while sorting the image. To increase the searching speed inverted index structure is constructed. The co-occurrence word set is used in query matching process. The main aim of the system is improve the relevance and diversity of the images.

Tag based Image Search (TBIS), Image Search, Tag, View Feature, semantic Feature, Visual Feature

[1] X. Li, C. Snoek, and M. Worring. Learning tag relevance by neighbor voting for social image retrieval. Proceedings of the ACM International Conference on Multimedia information retrieval, 2008: 180-187.,
[2] D. Liu, X. Hua, L. Yang, M. Wang, and H. Zhang. Tag ranking. Proceedings of the IEEE International Conference on World Wide Web,2009: 351-360.
[3] M. Wang, K. Yang, X. Hua, and H. Zhang. Towards relevant and diverse search of social images. IEEE Transactions on Multimedia ,12(8):829-842,2010.
[4] G. Agrawal, R. Chaudhary. Relevancy tag ranking. In Computer and Communication Technology, pp.169-173, IEEE,2011.
[5] L. Chen, D. Xu, I. Tsang. Tag-based image retrieval improved by augmented features and group-based refinement. Multimedia,IEEE Transactions on,14(4), 1057-1067, 2012.
[6] L.Wu, R. Jin. Tag completion for image retrieval. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 35(3), 716-727, 2013.
[7] L. Chen, S. Zhu, Z. Li. Image retrieval via improved relevance ranking. In Control Conference, pp.4620-4625, IEEE, 2014.
[8] X. Qian, D. Hua, Y. Tang, and T. Mei, “social image tagging with diverse semantics”, IEEE Trans. Cybernetics, vol.44, no. 12,2014, pp. 2493-2508.
[9] XuemingQian, Yisi Zhao, Junwei Han: Image Location Estimation by Salient Region Matching. IEEE Transactions on Image Processing 24(11): 4348-4358 (2015)
[10] X.Qian, D. Lu, X. Liu, “Tag based image retrieval by user-oriented ranking”. Proceedings of International Conference on Multimedia Retrieval.ACM,2015.
[11] XuemingQian,Dan Lu, Xiaoxiao Liu.Tag Based Image Search by Social Re-ranking.IEEE Transactions on, Multimedia 2016.

S. N. Paraj, "Tag Based Image Search Using User Re-ranking," International Journal of Computer Sciences and Engineering, Vol.6, Issue.7, pp.772-775, 2018.

Mutation testing is one of the active techniques for testing its code. It is implemented by the replacement of the syntax of a program by another piece of code. This new version of the code is known as a mutant as is the most crucial part for testing the code. An effective test set is necessary to differentiate the mutant from the original program. In this paper we have presented a semantic mutation testing tool in python which works on semantics of python language than the traditional way of testing. In semantic mutation, a particular language is modified to create the mutant. Using SMT-P that is semantic mutation testing using python, we have inspected the efficiency of test cases on both traditional and semantic mutation operators. Comparison of traditional and semantic mutation testing operators in same test cases has been found to be quite useful and proves the usefulness of Semantic based testing over traditional one.

Mutation testing, SMT (Semantic mutation testing), SMT-P (Semantic mutation testing tool in python), Language

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[7] J.A. Clark, H. Dan, R.M. Hierons, Semantic mutation testing, in: Fourth Workshop on Mutation Analysis, 2010, pp. 100–109.
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R. Gupta, C. Verma, N.Singh, "Mutation Operators in Python using SMT-P," International Journal of Computer Sciences and Engineering, Vol.6, Issue.7, pp.776-778, 2018.

World Wide Web emerged as a dominant platform where user interaction with the web is increased rapidly which provides the user interest for accessing of resources from the web servers. To improve the web server performance pre-fetching and caching is used with the association rule mining where rules are applied to predict the user request based on the previous request and where most frequently access pages are pre-fetched and cached. In this paper, a better algorithm eLRU is proposed which is enhanced LRU for predicting the most accessed web pages by replacing least recently and no longer access pages and comparison between eLRU and LRU page replacement is also shown. This paper also represents the association rule approach for mining information and also by applying Apriori algorithm with FP growth algorithm for accessing pre-fetched pages.

World Wide Web, Web log file, Web usage mining, Apriori, FP growth, eLRU, LRU, Web Caching, Web Pre-fetching.

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[12] TengWG, Chang CY, Chen MS. Integrating Web caching and Web prefetching in client-side proxies. IEEE Trans Parallel Distributed Syst 2005;16(5):444–55.
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[14] Vakali A, Pokorny J, Dalamagas T.An overview of Web data clustering practices. In: Proceedings of the EDBT Workshops 2004. Heraklion, Crete; 2004. p. 597–606.
[15] Nanhay Singh, Arvind Panwar and Ram Shringar Raw Enhancing the performance of Web Proxy Server using Cluster Based Pre-fetching technique. IEEE2013.
[16] A Survey of Web Caching and Prefetching"( Waleed Ali Siti Mariyam Shamsuddin, and Abdul Samad Ismail)( 2011)
[17] A Survey On Web Pre-Fetching and Web Caching Techniques in a Mobile Environment"(Greeshma G. Vijayan1 and Jayasudha J. S.) (2012)
[18] Survey on Improving the Performance of Web by Evaluation of Web Prefetching and Caching Algorithms" (Arun Pasrija) ( 2013)
[19] Survey of Recent Web Prefetching Techniques" (Sonia Setia, Dr. Jyoti, Dr. Neelam Duhan) ( 2013)
[20] Study of Web Pre-Fetching With Web Caching Based On Machine Learning Technique " (K R Baskaran, Dr. C.Kalarasan, A Sasi Nachimuthu) (2013)
[21] Hybrid Approach for Performance of Web Page Response through Web Usage Mining”(Ravinder Singh,Bhumika garg) (2014)
[22]Data Mining for Intelligent Web Caching Francesco Bonchi Fosca Giannotti Giuseppe Manco Chiara Renso CNUCE-CNR – Institute of Italian National Research Council Via Alfieri 1, 56010 Ghezzano (PI) Italy.

Arshi Khan, Pushpraj Singh Chauhan, "Improved Integrated Approach of Web Prefetching & Caching using eLRU," International Journal of Computer Sciences and Engineering, Vol.6, Issue.7, pp.779-785, 2018.

Hybrid system name implies the combination of two or more sustainable / non sustainable energy sources. Presently hybrid systems including wind power as one of the basic along with photovoltaic power are more appealing. The primary reason of such hybrid power system is to taken irregularity and unpredictability of wind energy and to make the power supply more reliable. Hybrid wind power with Photovoltaic module can bypass the limitation of wind power irregularity, since Photovoltaic module can acts as an energy barrier and adjust the output power effectively. Wind power and solar energy can mix to form hybrid power system specifically for the power supply. In addition advantage of this kind of hybrid system is that they are the couple renewable energies, which is suitable to the ecological conditions. Two contingences are studied and identified according to power generation from each energy sources, and load requirement. Hill Climb Search algorithm is used as Maximum Power Point Tracking (MPPT) control technique for the wind power system in order to enhance the power generated. The proportional integral control scheme of inverter is intended to keep the load voltage and frequency of the AC supply at stable level indifferent of advance in natural conditions and load. A Simulink model of Hybrid system with DC/DC converter and voltage standardized inverter and energy storage system for stand-alone application developed MATLAB/SIMLINK environment.

component; Renewable energy, Solar, PMSG, DC/DC converter, PI Controller

[1] Natsheh, E.M.; Albarbar, A.; Yazdani, J., "Modeling and control for smart grid integration of solar/wind energy conversion system," 2nd IEEE PES International Conference and Exhibition on Innovative Smart Grid Technologies (ISGT Europe), pp.1-8, 5-7 Dec. 2011.
[2] Bagen; Billinton, R., "Evaluation of Different Operating Strategies in Small Stand-Alone Power Systems," IEEE Transactions on Energy Conversion, vol.20, no.3, pp. 654-660, Sept. 2005
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[4] Goel, P.K.; Singh, B.; Murthy, S.S.; Kishore, N., "Autonomous hybrid system using PMSGs for hydro and wind power generation," 35th Annual Conference of IEEE Industrial Electronics, 2009. IECON `09, pp.255,260, 3-5 Nov. 2009.
[5] Foster, R., M. Ghassemi, and A. Cota, Solar energy: renewable energy and the environment. 2010, Boca Raton: CRC Press.
[6] Salam, Z.; Ishaque, K.; Taheri, H., "An improved two-diode photovoltaic (PV) model for PV system," 2010 Joint International Conference on Power Electronics, Drives and Energy Systems (PEDES) & 2010 Power India, pp.1,5, 20-23 Dec. 2010.
[7] Yuncong Jiang; Qahouq, J.A.A.; Orabi, M., "AC PV solar system distributed architecture with maximum power point tracking," IEEE 34th International Telecommunications Energy Conference (INTELEC), pp.1-5, Sept. 30 2012-Oct. 4 2012.
[8] Villalva MG, Gazoli JR. Comprehensive approach to modeling and simulation of photovoltaic arrays. IEEE Trans Power Electron 2009;24:1198–208.
[10] Faranda, R. and Leva, S. (2008) Energy Comparison of MPPT Techniques for PV Systems. WSEAS Transactions on Power Systems, 3, 447-455.
[11] Zainal Salam, Jubaer Ahmed, Benny S. Merugu “The application of soft computing methods for MPPT of PV system: A technological and status review” ELSEVIER Applied Energy 107 (2013) 135–148
[12] Nur Atharah Kamarzamana, Chee Wei Tan, “A comprehensive review of maximum power point tracking algorithms for photovoltaic systems,” Renewable and Sustainable Energy Reviews, vol.37, pp- 585-598, Sep 2014.
[13] Ridha BENADU`, Brahim KHIARI’, Anis SELLAMI “Predictive Current Control Strategy for a Three-Phase Grid Connected PhotovoltaicWind Hybrid System” 978-1-4673-9768-1/16/$31.00 ©2016 IEEE.
[14] Dong-Min Miao; Jian-Xin Shen, "Comparative study on permanent magnet synchronous generator systems with various power conversion topologies," 2013 Fourth International Conference on Power Engineering, Energy and Electrical Drives (POWERENG), pp.1738- 1743, 13-17, May 2013.
[15] Salam, Z.; Ishaque, K.; Taheri, H., "An improved two-diode photovoltaic (PV) model for PV system," 2010 Joint International Conference on Power Electronics, Drives and Energy Systems (PEDES) & 2010 Power India, pp.1,5, 20-23 Dec. 2010.
[16] S.Saib, A.Gherbi “Simulation and Control of hybrid renewable energy system connected to the grid” 978-1-4673-7172-8/15/$3l.00 ©2015IEEE area. Picture should be of high quality.

Chellu.Ravi Teja, Y.Vishnu Murthulu, "Design and Simulation of Solar-Wind Hybrid Power Generation System," International Journal of Computer Sciences and Engineering, Vol.6, Issue.7, pp.786-792, 2018.

The aim of this project is to detect breast cancer by extracting the features of the affected tumour. Classification of the cancer cells is done with neural networks. The project consists of three phases namely, pre processing, feature extraction and classification. Pre processing is done using median filter; the features are extracted from digital mammogram which includes position, texture and shape. The features are trained by neural networks to classify the cancer cells. Maximum likely hood estimation is used to calculate the area affected to determine the depth of tumour. In this paper artificial neural network are used to develop a system for diagnosis, prognosis and prediction of breast cancer. Breast cancer is a type of cancer originating from breast tissues, and most commonly this is originated from the inner lining of milk ducts. Breast cancer occurs in human and other mamma is also. Cardiology, radiology, oncology, urology are currently the burning areas in medical sciences in which neural networks are currently progressing on.

Breastcancer,malign,benign,MLE,Pre-Processing,DWT,Digitalimageprocessing

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S.Nadiger, A.Dixit, "Breast Cancer Detection Using Neural Network," International Journal of Computer Sciences and Engineering, Vol.6, Issue.7, pp.793-797, 2018.

Wireless sensor network (WSN) associated with a set of wireless sensor nodes by using high speed network connectivity. All deployed sensor nodes are used to sense and process of data effectively over the network. This leads to increase the communication overhead and affects the performance of the network lifetime. The main objective of the data aggregation is to eliminate the redundant data that increase the network lifetime otherwise prolongs or conserves the energy of the sensor nodes for data aggregation in WSN. Hence, it is needed to aggregate the sensed data into high quality information and this is accomplished through data aggregation. In this paper, reviews the data aggregation approaches named as centralized, tree, cluster, and in-network approaches in WSNs. Also discuss the comparison of various data aggregation approaches with respect to latency, data accuracy, computation overhead, scalability, redundancy, and energy consumption.

Wireless Sensor Network (WSN), Data Aggregation, Centralized, Tree, Cluster, and In-Network Approaches

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Lokesh B. Bhajantri, "A Comprehensive Survey on Data Aggregation in Wireless Sensor Networks," International Journal of Computer Sciences and Engineering, Vol.6, Issue.7, pp.798-802, 2018.

This article on advanced radiography picture preparing and show is the second of two articles composed as a component of an intersociety push to build up picture quality gauges for computerized and registered radiography. The subject of the other paper is advanced radiography picture obtaining. The articles were created cooperatively by their, the American Association of Physicists in Medicine, and the Society for Imaging Informatics in Medicine. Progressively, restorative imaging and patient data are being overseen dosing computerized information amid procurement, transmission, stockpiling, show, elucidation, and meeting. The administration of information amid every one of these activities may affect the nature of patient care. These articles portray what is known to enhance picture quality for computerized and figured radiography and to make suggestions ideal obtaining, preparing, and show. The act of computerized radiography is a quickly developing innovation that will require auspicious update of any rules and norms.

Image Quality, Medicine, radiography, Image processing, Display

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Madhavi Pingili, E. G. Rajan, "Image Processing: Improving Image Quality for Digital Radiography," International Journal of Computer Sciences and Engineering, Vol.6, Issue.7, pp.803-808, 2018.

Cloud computing is an internet based infrastructure environment service provider. Cloud is a collection of servers grouped together located in a different geographic locations connected. Cloud computing has a noble vision to share the resources to the user all around. Cloud computing is an upcoming topic for the researchers for the betterment in this field around the world. Cloud providers use resource allocation strategy [1], along with energy aware consciousness to reduce the energy consumption in massive cloud data centres. This paper gives an outline of a comparative have a look at on the various current resource scheduling techniques in cloud computing.

Cloud Computing, Resource Allocation Strategy, Scheduling, Energy Efficiency

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Alekhya Orugonda, V. Kiran Kumar, "Energy Organized Scheduled Virtual Machine Resource Distributional Cloud Data Centres," International Journal of Computer Sciences and Engineering, Vol.6, Issue.7, pp.809-813, 2018.