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The debts of university hospitals have been increasing recently in Turkey. Thus, they should use their financial resources effectively. The aim of this study is to analyze the technical activities of departments at Adnan Menderes University, Training and Research Hospital, Aydın, Turkey. Data were obtained from the statistical records in 2014. Activities were evaluated with Data Envelopment Analysis (DEA), which is a nonparametric method that allows the use of more than one input and output at the same time. The study comprised three sections. In the first section, expenditure, package deficiencies, and Social Security Institution (SSI) deductions were defined as inputs and income was defined as the output. The Banker, Chames, and Cooper (BCC) model, which aims to minimize inputs, was used in this section. "Orthopedics" was found to be the most effective department. In the second section, faculty members, research assistants, room numbers of policlinics, and bed numbers in services were defined as the inputs; the total number of policlinic patients, total number of patients allocated bed, and income were defined as outputs. In this section, the outcome-focused Charnes, Cooper, and Rhodes (CCR) model, which aims to maximize outcomes, was used. "Emergency" and "Child and Adolescent Psychology" were found to be the most efficient departments. In the third section, faculty members, research assistants, room numbers of policlinics, and bed numbers in services were defined as the inputs; the total number of policlinic patients, total number of patients allocated beds, total operation numbers, and income were defined as outputs. In this section, the CCR model was again used. "Thoracic Surgery" was defined as the most efficient department. At the end of the analyses, reference rates were defined for the inefficient departments.

Turkey, Adnan Menderes University, Clinical departments, Health information systems, Data envelopment analysis, Efficiency

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Ozel Sebetci, Ibrahim Uysal, "The Efficiency of Clinical Departments in Medical Faculty Hospitals: A Case Study Based on Data Envelopment Analysis," International Journal of Computer Sciences and Engineering, Vol.5, Issue.7, pp.1-8, 2017.

The Spectrum sensing strategies in CR is exhibited in this paper. There are three Spectrum sensing strategies of CR, for example, helpful, non-agreeable and impedance based discovery. Helpful and non-agreeable procedures are only transmitter location and collector recognition separately. Non helpful spectrum sensing procedures is grouped in three systems like vitality recognition, coordinated channel discovery and cyclo stationary component location. The goal of the project is to achieve performance, increase reliability and efficiency and reduces the interference. In CRN the users are classified into Licensed Primary Users and Unlicensed Secondary Users and there is no dedicated channel to send data, sensors need to negotiate with the neighbors and select a channel for data communication in CR-WSNs. This is a very challenging issue, because there is no cooperation between the PUs and SUs. PUs may arrive on the channel any time. If the PU claims the channel, the SUs have to leave the channel immediately. PU is communicating with another user, that time SU cannot communicate to PU at particular time. Here Medium access Control (MAC) protocol is proposed to improve the spectrum efficiency. Our proposed CR method helps to automatically search the users those who are free to communicate in the network, at that time Unlicensed user is automatically will change as licensed user, then it communicate to particular person.

CR, Wireless Sensor Network, Primary Spectrum, Specturm Sensing

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[5] K.Viji and R.Mala, "Cross Layer Outline Approach in Remote Versatile ADHOC System Architecture", International Journal of Computer Sciences and Engineering, Vol.3, Issue.9, pp.302-309, 2015.
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[10] Krikidis I, Charalambous T, Thompson JS. Buffer-aided relay selection for cooperative diversity systems without delay constraints. IEEE Transactions on Wireless Communications, Vol.11, Issue.55, pp.1957-67, 2012.
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M. Emimal, D. Karthika, "Cognitive Radio for Enhancing and Efficient Spectrum Sensing in Adhoc Networks," International Journal of Computer Sciences and Engineering, Vol.5, Issue.7, pp.9-13, 2017.

This paper deals with the ensuring reliability and Availability of Gold extraction system is extremely complex and extends to all the stages of the service life of a system. The gold extraction system analyze a system with two type of failure. The rate of failure is exponential .The system resolved by Boolean algebra. Several measures of availability and MTTF of system are obtained .Some numerical examples, along with graph have been appended at the end to highlight the importance of the result.

Gold Extraction System, weibull Distribution, Exponential Distribution , Boolean Algebra

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A. Chandra , S.Gupta, "Performance Analysis of a Gold extraction process system under Different Failure using Boolean algebra," International Journal of Computer Sciences and Engineering, Vol.5, Issue.7, pp.14-19, 2017.

Checking and making sense of the rich and continuously refreshed document in an online medium can yield important data that allows users and association increase useful Information about progressing events and consequently make quick move. This calls for powerful ways to precisely screen break down and summarize the Important data present in an on the web. Customarily term-based and word-based approaches used for data sifting. Theme demonstrate has used for discovering unseen topics in a set of qualification. Term-based and Word-based approaches have disadvantage which are polysemous and synonymy. The animal of propensity mining procedure used in field of theme demonstrating generates show for discovering more significant and discriminative topics from accumulation of documents.

Document Streams, Dynamic Programming, Pattern-Growth, Rare Event, Sequential Patterns, Web Mining

[1] R.V. Patil, S.S. Sannakki, V.S. Rajpurohit, "A Survey on Classification of Liver Diseases using Image Processing and Data Mining Techniques", International Journal of Computer Sciences and Engineering, Vol.5, Issue.3, pp.29-34, 2017.
[2] Nidhi Sethi and Pradeep Sharma, "Mining Frequent Pattern from Large Dynamic Database Using Compacting Data Sets", International Journal of Scientific Research in Computer Science and Engineering, Vol.1, Issue.3, pp.31-34, 2013.
[3] S.Liu, J.Yin, X.Wang, W.Cui, K.Cao & J.Pei, “Online Visual Analytics of Text Streams”, IEEE Transactions on Visualization and Computer Graphics, Volume: 22, Issue: 11, Pages: 2451 – 2466, 2016.
[4] A. Sharma, RS Thakur, S. Jaloree, "Investigation of Efficient Cryptic Algorithm for image files Encryption in Cloud", International Journal of Scientific Research in Computer Science and Engineering, Vol.4, Issue.5, pp.5-11, 2016.
[5] V. Jain, "Frequent Navigation Pattern Mining from Web usage data", International Journal of Scientific Research in Computer Science and Engineering, Vol.1, Issue.1, pp.47-51, 2013.
[6] Haiqing Zhang; Daiwei Li; Tianrui Li; Xi Yu; Tao Wang; Abdelaziz Bouras, “A pattern-aware method for maximal fuzzy supplement frequent pattern mining”, (ICIVC), Pages: 173 – 179, 2017
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U. Saranya, S. Padmavathi, "SPMETS: Sequential Pattern Mining in Exceptional Text Streams using WEKA Tool," International Journal of Computer Sciences and Engineering, Vol.5, Issue.7, pp.20-23, 2017.

Wireless Network provides transmission of information over miles of distance without requiring wires, coaxial cables and fibres etc. It focuses on establishment of communication among devices. Such type of communication can be done through Single hop or Multi hop basis. In this attempt, brief introduction of wireless network is presented. In this paper, classification of wireless network is also discussed based on different features and its types. Further, presented work also highlights Mobile Adhoc Networks along with its specialized new concept known as FANETs (Flying Adhoc Networks). In this attempt, design issues for MAC protocol and comparison between MANETs & FANETs is also discussed. This attempt is very much beneficial for beginners of this domain.

Wireless Networks,Classifications, WMN,WSN,MANETs, FANETs

[1] S.B. Kolla, B.B.K. Prasad, "A Survey of Source Routing Protocols, Vulnerabilities and Security In Wireless Ad-hoc Networks", International Journal of Computer Sciences and Engineering, Vol.2, Issue.4, pp.20-25, 2014.
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[3] Pranay Kujur and Kiran Gautam, "Smart Interaction of Object on Internet of Things", International Journal of Computer Sciences and Engineering, Vol.3, Issue.2, pp.15-19, 2015.
[4] Pradeep Sharma, Shivlal Mewada and Aruna Bilavariya, "Group Rekeying Management Scheme for Mobile Ad-hoc Network", International Journal of Scientific Research in Network Security and Communication, Vol.1, Issue.5, pp.5-12, 2013.
[5] Umang, Reddy B.V.R and Hoda M.N., “Study of Mobile Management Schemes in Mobile Adhoc Networks”, International Journal of Computer Applications, March 2011, Vol. 17, Iss. 7, pp. 42-47, ISSN-0975-8887, DOI: 10.5120/2236-2605.
[6] Pradeep Kumar Sharma, Shivlal Mewada and Pratiksha Nigam, "Investigation Based Performance of Black and Gray Hole Attack in Mobile Ad-Hoc Network", International Journal of Scientific Research in Network Security and Communication, Vol.1, Issue.4, pp.8-11, 2013.
[7] İ. Bekmezci, O. K. Sahingoz, and Ş. Temel, “Flying Ad-Hoc Networks (FANETs): A survey,” Ad Hoc Networks, vol. 11, no. 3, pp. 1254–1270, May 2013.

Umang, "Wireless Networks Past, Present and Future: A Technical Review," International Journal of Computer Sciences and Engineering, Vol.5, Issue.7, pp.24-27, 2017.

Mobile ad-hoc networks (MANETs) relies on upon network participation plans to work legitimately. It expects that mobile node deliberate participate so as to work appropriately. By and by, if nodes have a selfish conduct and are unwilling to participate, the general network execution could be genuinely degraded. The proposed framework builds up a homomorphic straight Authenticator based upon examining design that enables the identifier to confirm the honesty of the bundle misfortune data detailed with nodes. In this manner, by recognizing the correlations between lost bundles, one can choose whether the parcel misfortune is absolutely because of normal connection blunders, or is a consolidated impact of connection mistake and selfish node. In our project we have proposed an efficient method for detecting a selfish node which takes into account the various factors like the battery capacity of a node, power consumption in transmitting packets and to overcome the presence of selfish nodes. In this framework consists of degree of intrinsic selfishness (DeIS) and the degree of extrinsic selfishness (DeES). Under the distributed node-selfishness management, a path selection criterion is designed to select the most reliable and shortest path in terms of RNs’. The theoretical analysis and results show that the proposed model has better probability and efficiency.

MANETs, Selfish Node, Node Misbehavior, Detection

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D. Nivetha, D. Karthika, "Selfish Node Detection in Wireless Networks," International Journal of Computer Sciences and Engineering, Vol.5, Issue.7, pp.28-31, 2017.

Edges are the set of curved line segments where brightness level of image changes sharply. It is one of the most important information of an image which can helps to detect object boundary, its relative position within target area and many other useful information. In edge detection process, edges are retrieved from an image by spotting high intensity variations of the pixels. Edge detection of an image minimizes the amount of processed data effectively and discards information that is less important, keeping the important structural properties of an image. This paper presents a different approach to apply Gradient and LoG operator to get more continuous edges than the conventional one using MATLAB. Their results are compared using peak signal to noise ratio (PSNR). Two images in rainy weather are taken by my camera for case study. It can be used in many applications such as in object tracking, in data compression, in image analysis and medical imaging.

Gradient and LoG; Peak signal-to-noise ratio; Intensity level; Edge detection

[1] G.T.Shrivakshan & Dr. C. Chandrasekhar, “A comparison of various edge detection techniques used in image processing” IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 5, No. 1, pp. 269-276, September 2012.
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[3] Kumar & Sukhwinder Singh, “Edge detection and denoising medical images using Morphology” International Journal of Engineering Sciences & Emerging Technologies, Vol. 2, Issue 2, pp. 66-72, June 2012.
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[5] Sasmita Mishra, “Edge detection of images: A novel approach” International Journal of Advanced Research in Computer Science and Software Engineering 5(3), Vol. 5, Issue 3, pp. 1213-1215, March 2015.
[6] Swetha.M & Jyoshna.C, “Boundary detection in medical images using edge field vector based on Law’s texture and Canny method” International Journal of Engineering Trends and Technology (IJETT) Vol. 4, Issue 5, pp. 1912-1917, May 2013.
[7] Ballado, A.H.Jr., Dela Cruz, J.C., Avendaño, G. O., Echano, N. M., Ella, J. E., Medina, M.E.M., Paquiz,B.K.C.“Philippine currency paper bill counterfeit detection through image processing using Canny edge technology” 8th IEEE International Conference Humanoid, Nanotechnology, Information Technology Communication and Control, Environment and Management (HNICEM) The Institute of Electrical and Electronics Engineers Inc. (IEEE) – Philippine Section, Philippines, December 2015.
[8] Bo Lia, Aleksandar Jevticb, Ulrik Söderströma, Shafiq Ur Réhmana, Haibo Li “Fast edge detection by center of mass” Proceedings of the 1st IEEE/IIAE International Conference on Intelligent Systems and Image Processing pp. 103-110, Japan, 2013.
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[10] Sunanda Gupta, Charu Gupta & S.K.Chakarvarty “Image edge detection: A review” International journal of advance research in computer science and technology (IJARCET) Vol. 2, Issue 7, pp. 2246-2251, July 2013.
[11] Veena Dohare, Prof. M.P. Parsai, “A review of speed performance evaluation of various edge detection methods of images”, Indian journal of computer science and engineering, Vol.8, No. 2, pp: 128-138, Apr-May 2017.
[12] K. Rajalakshmi, K. Nirmala, “Heart disease analysis using support vector machine and Sobel edge detection” International Journal of Computer sciences and engineering, Vol. 5, Issue 4, pp. 5-13, Apr 2017.

Veena Dohare, M.P. Parsai, "Spatial Domain Edge Detection of Image in Rainy Weather," International Journal of Computer Sciences and Engineering, Vol.5, Issue.7, pp.32-38, 2017.

Complications of cracking real world glitches with their promising difficulties forced computer technologist to search for more skillful problem solving approaches. Meta-heuristic procedures are outstanding models of these methods and out of these the bat algorithm (BA) is a good example. BAT algorithm is found very efficient in solving difficult problems. This algorithm has been advanced hurriedly and has been practical in different optimization jobs. The literature has extended substantially since last seven years. This paper offers appropriate study of the various modifications of BAT algorithm.

Artificial Bee Colony, Ant Colony Optimization, Bat Algorithm, Cuckoo Search Algorithm

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S.L. Yadav, M. Phogat, "A Review on Bat Algorithm," International Journal of Computer Sciences and Engineering, Vol.5, Issue.7, pp.39-43, 2017.

Intrusion detection system (IDS) look into field has developed immensely in the previous decade. Enhancing the detection rate of client to root (C2R) assault class is an open research issue. Current IDS utilizes all information elements to recognize intrusions. A portion of the elements might be excess to the detection procedure. The reason for this experimental examination is to distinguish the vital elements to enhance the detection rate and diminish the false detection rate. The researched highlight subset choice strategies enhance the general exactness, detection rate of C2R assault class and furthermore diminish the computational cost. The exact outcomes have demonstrated a recognizable change in detection rate of C2R assault class with include subset determination methods.

Feature subset selection; classification; preprocessing; Intrusion detection system

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S.A. Margaret, S. Padmavathi, "Enhancing Classification Accuracy using Feature Subset Selection in Intrusion Detection System (IDS)," International Journal of Computer Sciences and Engineering, Vol.5, Issue.7, pp.44-50, 2017.

the present era is the revolutionary time in genomic applications. In recent years, genomes of various species have been sequenced; genes and proteins have been mapped and learned. Structures of genes and proteins have been implied and their behavior is being understood. Over the past two decades, there is a viable interest in to analysis of gene sequence and microarray data with the help of metaheuristics techniques. Therefore this survey intended to give some nature inspired methods to analyze genomic data such as sequence analysis of various genes, microarray analysis and multiple sequence alignment. The survey later on is followed by the types of main nature inspired algorithms both population and single solution based methods. These are followed by their different application in genomic data and their merits to address specific task.

Metaheuristics, Microarray, genome, genetic algorithm

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Manu Phogat, Dharmender Kumar, "A survey of Meta-heuristics Approaches for application in Genomic data," International Journal of Computer Sciences and Engineering, Vol.5, Issue.7, pp.51-55, 2017.