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The web-based social networking becomes a valuable part of over life. Young clients can pay a significant amount of time on this social platform. The primary reason behind the time expense on the social media is to check the updates on the different area of interest i.e. politics, movies, and others. The updates on these domains are obtained on the basis of the trending topics. But sometimes the similar or duplicate topics are flooded on social media due to this un-necessary traffic, redundancy, and storage overheads increases. Keeping in mind the end goal need to identify the duplicate post on the social network applications and remove them is a better solution. By this inspiration a new data model using the big data mining is introduced in this work. The proposed data model contributes by accepting the online and offline data both. After that the three phase of pre-processing is performed on the data first the removal of stop words, removal of punctuations, and completion of abbreviations. The pre-processed data is further ranked on the basis of Jaccard similarity index. This ranked data is further used with the fuzzy c-means algorithm. The fuzzy c-means algorithm computes the different groups of the similar tweets. Thus in further for finding the similar tweets the synonyms based re-tweets are generated with the mutation methodology. Finally the hashes of all the data are computed and the similar hash value based tweets are removed. The implementation of the proposed method is finished on the idea of JAVA era and hadoop storage. Additionally after implementation of the proposed technique, the technique is compared with the similar technique on the basis of their precision and recall values. The computed results demonstrate the high degree of accurate duplicate data identification and their removal for the micro-blog data analysis.

Big Data, Hadoop, FCM(fuzzy c-means), Social Spam, Clustering, Twitter

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R. Chugga, P. Dashore , "Mining Based Design and Analysis of Social Spam Detection in Micro-blogging," International Journal of Computer Sciences and Engineering, Vol.5, Issue.7, pp.101-109, 2017.

The Dual-energy computed tomography (DECT) has got high popularity in the field of medical. By using DECT we can easily check or capture the body organs. Noise reduction is the premier process in the x-ray field or the medical imaging field. In this analysis we present the study of DECT images. The images which have the high material density they have more noise as well. To make image appearance better the noise reduction should be done. The use of filter is a primary tool in image noise correction. The non-linear filter removes the noise problem in the image. We are using bilateral filter to remove the noise in DECT images. This paper enlights different method of noise reduction in DECT images and the result will compare with the help of MATLAB software. ImaSim Software provides ability to present and manipulate CT data.

DECT, SNR, CNR , Bilatral filter ,Non-linear filter

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[4] Harini Veeraraghavan1, Duc Fehr1, Ross Schmidtlein1, Sinchun Hwang2,and Joseph O. Deasy1, “Automatic Bone and Marrow Extraction from Dual Energy CT through SVM Margin-Based Multi-Material Decomposition Model Selection”, Springer International Publishing Switzerland 2014
[5] Rafael Simon Maia ,Christian Jacob ,Amy K. Hara , Alvin C. Silva , William Pavlicek ,Mitchell J. Ross, “An algorithm for noise correction of dual-energy computed tomography material density images” Int J CARS, 7 April 2014
[6] Ravi K. Kaza, MD, Joel F. Platt, MD, Richard H. Cohan, MD, Elaine M. Caoili, MD, Mahmoud M. Al-Hawary, MD, Ashish Wasnik, MD, “Dual-Energy CT with Single- and Dual-Source Scanners: Current Applications in Evaluating the Genitourinary Tract1”, RadioGraphics 2012; 32:353–369 .

Pallavi Sharma, Vibha Tiwari , "Noise Reduction in DECT Images using spatial neighboring density method using bilateral filter," International Journal of Computer Sciences and Engineering, Vol.5, Issue.7, pp.110-114, 2017.

Visual Cryptography is Secret Sharing Scheme where it is an encryption methodology to hide the data under image in a fashion that it can only be decrypted by the combination of two shares. Quantum mechanics is the bsis of Quantum Cryptography Techniques. Use of Quantum key is the basis as Quantum mechanics concept has been utilized to have encrypted key in place between users and not used for data transmission. Steganography involves techniques of hiding information under other information so that extraction of data become difficult .In the existing work, it used these three techniques to improve the transaction security. But this is not enough to secure so to overcome this problem we apply image sequence and send OTP in the email id which makes them more secure to achieve more security.

Payment System, Buisness, Internet, Keys, Visual Cryptography, Quantum Cryptography, Stagenography

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Anshu Arele, Vikas Sejwar, "Enhanced Online Payment Security using Steganography, Quantum and Visual Cryptography," International Journal of Computer Sciences and Engineering, Vol.5, Issue.7, pp.115-119, 2017.

For increase rate of fault detection test case prioritization is needed, which shows how fast bugs are identified during the testing phase. In test case prioritization follow way to use the information of previously executed test cases, such as coverage information, resulting in an iterative prioritization algorithm. Real fact of using coverage information can improve the rate of fault detection in prioritization algorithms. But performance of such iterative prioritization schemes degrade as the number of ties occurred in prioritization steps increases. In test case prioritization using lexicographical ordering and extended diagraph, we propose a new heuristic for breaking ties in coverage based techniques. Performance of the proposed technique in terms of the rate of fault detection is comparatively evaluated using a wide range of programs. Results indicate that the proposed technique can resolve ties and in turn noticeably increases the rate of fault detection.

Additional statement coverage, Fault-based test case prioritization, GUI testing, HMM, model-based testing (MBT), random prioritization, reinforcement learning

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Priyanka P.Deshmukh, Vina M.Lomte, "A Novel Approach for TCP for Regression Testing In Web Application," International Journal of Computer Sciences and Engineering, Vol.5, Issue.7, pp.120-124, 2017.

Wireless networking is a new emerging era. It has potential applications in extremely unpredictable and dynamic environments. Individuals and industries choose wireless because it allows flex¬ibility of location, whether that means mobility, portability, or just ease of installation at a fixed point. In mobile ad-hoc network, mobile nodes are continuously moving from one location to another. Thus, MANET topology can change often and unpredictably. Mobility of nodes is one of the major issue of concern in mobile Ad- hoc network because it causes a link failure. In this paper, a new scheme has been suggested which would help mobile nodes to maintain routes to destination with more stable route selection. This makes route maintenance and recovery phase more efficient and fast. The performance of the proposed routing protocol named as Selfheal Stable Routing protocol (SSRP) is evaluated some major performance metrics which include Packet Delivery Ratio, throughput and End to End Delay. The study is based on simulation runs adopting CBR traffic pattern taking care of node failure scenarios.

Ad-hoc network,self Healing Network(SHN) ,Selfheal Stable Routing Protocol(SSRP) ,AODV

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Rosy Pawar, Ashwani Kush, "Selfheal Stable Routing Protocol for Ad-hoc Network," International Journal of Computer Sciences and Engineering, Vol.5, Issue.7, pp.125-130, 2017.

With the wide spread use of the internet in almost all of the fields in our day to day life, has created many new opportunities and challenges in the Data Analytics. Data Analytics deals with the methods to processes, analyze and to draw the knowledge based conclusion from the data sets obtained from various sources applied to take proper decisions for any Artificial Intelligence based systems. Big Data Analytics deals with the larger sized data analytics in terabytes or peta bytes. Presently cloud computing along with Big Data Analytics has wide spread applications in many expert systems design. In this paper we are focused on the basic conceptual model used more specifically in Health Care Analytics using cloud framework based Big Data Analytics. Based on proper data sets available, this framework will be able to make proper healthcare analysis for preventive and remedial decisions.

Big Data Analytics, Artificial Intelligence, Expert System, Cloud Framework

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D.L. Joshi, M. A. Joshi, A.A. Dande, P. Wararkar, "A Review on Cloud Framework for Healthcare Analytics," International Journal of Computer Sciences and Engineering, Vol.5, Issue.7, pp.131-134, 2017.

This paper proposes a household power unit which is able to automatic switching and will communicate through Ethernet/Wi-Fi so utilization of the Non-conventional energy sources like solar energy will become more reliable. Further it will have made ready to end-user through electrical setup. The ARDUINO MEGA processor is preferred to work as an Embedded Device. The program loaded on this device will be work as Real time operating system. It is necessary to process, control and communication. Other services are provided on the top of embedded device. It includes communication with server about the real-time information on energy meters at customer`s location. Energy source selection, power-up the connection and disconnection are some of the services that are provided through the online web portal. The web browser available at subscriber`s end, can act as an interface to these services provided. Greater integration of renewable energy generation may be achieved by facilitating battery energy storage systems like integrating remote access to manage the set up like Ethernet, Web communication etc. The smart energy management of the resources is very important aspect. It allows collection of energy from multiple sources. In case of commercial and large scale implementation, the generated power at distribution level can be directly fed to the utility distribution network. In this paper, the smart energy management system is used where the battery monitoring system works alternately. ARDUINO MEGA 7 microcontroller is used to regulate the actual operating function as a core part of the setup. It is ideally appropriate for residential premises along with commercial applications.

Embedded system with WLAN, Embedded device as a server, Non-conventional Energy source

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Kalpesh Rasane, Prakash Baviskar, "A Review Paper on: Power Grid Associated with Web using Non-Conventional Energy Source," International Journal of Computer Sciences and Engineering, Vol.5, Issue.7, pp.135-140, 2017.