021423   Shahnawaz M;Saxena K (Computer Application Dep, Samrat Ashok technological Institute, Vidihsa, Madhya Pradesh, Email: shahnawaznbd@gmail.com) : Data Farming Algorithm with Temporal Medical Events. Int J Data Mining Emerging Technol 2015, 5(1), 31-7.

Data farming is a method to generate large amounts of data through simulation of several configurations from large parameter space and then analysed for pattern. More data are helpful for extracting the hidden pattern. In this paper, we propose an algorithm for the data farming in the medical domain. The proposed algorithm merges, data farming with temporality of cardiac patient's medical history. The proposed algorithm is helpful to estimate the correct dose of the dobutamine for the patients with heart disease. 'Dose' of the patient is affected by the temporal events occurred with the patient such as (1) diabetic, (2) myocardial infarction (MI) or heart attack, (3) revascularization by percutaneous transluminal coronary angioplasty (PTCA) and (4) coronary artery bypass grafting surgery (CABG). 'Dose' is not only affected by these events, but also affected by the time of occurrence of the event. The proposed algorithm uses a weight function to account for time of occurrence of these events and characteristics. Result shows that, - the proposed algorithm is efficient to farm the temporal data of the heart patient with the correct 'dose' in the treatment.

3 illus, 4 tables, 23 ref

021422   Senthil Kumar A V (Computer Applications Dep, Hindusthan College of Arts and Science, Coimbator-641 028, Email: avsenthikumar@yahoo.com) : Hybrid ensemble feature selection for heart disease prediction system using an NMF Hierarchical clustering. Int J Data Mining Emerging Technol 2015, 5(1), 49-62.

Heart disease is the leading cause of death in the world over the past 10 years. Researchers have been using several data mining techniques to help health care professionals in the diagnosis of heart disease patients. It is essential to find the best fit clustering or classification algorithm that has greater accuracy on prediction in the case of heart disease. Heart disease patient database is datasets collected from Cleveland Heart Disease Dataset (CHDD) available on the University of California, Irvine (UCI) Repository. Since the database samples consist of huge attribute and selection of best attribute from this CHDD becomes very important for prediction accuracy. This paper presents a novel Hybrid Feature Selection Ensemble (HFSE) framework generalising the ensemble approaches so that it can be combined with many feature selection (FS) approaches based on Hybrid Genetic and Particle Swarm Optimization (HGPSO), Hybrid Particle Swarm Optimization with Hidden Markov Model (HPSOHMM) algorithm for computer aided disease diagnosis scheme. The aim is to design swarm intelligence methods for dimensionality reduction of heart disease diagnosis. The designed HFSE framework is applied to CHDD. Originally there were 13 attributes involved in predicting the heart disease. In this work, H FSE is used to determine the attributes that contribute more towards the diagnosis. Thirteen attributes are reduced to seven attributes using HGPSO and HPSO-HMM. In this paper, an efficient approach, Non-negative Matrix Factorization with Hierarchical Clustering methods (NMF-HC) with Features Selected Data (FSD), is proposed. for the intelligent heart disease prediction. The system designed in Matlab software can be viewed as an alternative for existing methods to distinguish of heart disease presence.

5 illus, 2 tables, 33 ref

021421   Selva Priya G;Anitha P;Vinothini C (CSE Dep, Dr N G P Institute of Technology, ) : Introduction to biometrics: the power of security. Int J latest Technol Engng Mgmt appl Sci 2014, 3(10), 12-6.

Biometrics is the science of establishing security for person identification. It refers to the automatic recognition of a person based on his/her physiological or behavioral characteristics. It is possible to confirm or establish an individual's identity based on the traditional methods involving passwords and PIN numbers for its accuracy and case sensitiveness by using biometrics. Examples of such applications include secure access to laptops, buildings, cellular phones, computer systems and ATMs. In the absence of strong personal recognition schemes, these systems are vulnerable to an impostor. In this paper, a brief overview for biometrics will be presented.

15 ref

021420   Saxena N;Bhargava S (Suresh Gyan Vihar University, , Jagatpura, Jaipur-302 025) : Steganography scheme against RS attack enriched with evolutionary programming. Int J latest Technol Engng Mgmt appl Sci 2014, 3(11), 64-8.

Steganography refers to the technique of hiding secret messages into media such as text, audio, image and video without any suspicion, while steganalysis is the art and science of detection of the presence of steganography. It can be used for the benefit of the mankind to serve us as well as by terrorists and criminals for malicious purposes. Both steganography and steganalysis have received a lot of attention from law enforcement and media. In the past, different steganographic techniques with properties of imperceptibility, undetectability, robustness and capacity have been proposed. Newer and more sophisticated steganographic techniques for embedding secret message will require more powerful steganalysis methods for detection. The battle between steganography and steganalysis is never ending. In this paper, we are hiding data using evolutionary computing technique that is enriched with OPAP to enhance the picture quality. Evolutionary techniques are used to increase the robustness of the program and steganalysis techniques are proposed against RS attack.

4 illus, 1 table, 5 ref

021419   Savla D;Pawar M;Rishi S;Patil S (Computer Dep, VIIT,Pune University, Pune, Maharashtra) : Study of different object recognition approaches. Int J latest Technol Engng Mgmt appl Sci 2014, 3(11), 38-40.

Object recognition is an essential area in the field of computer vision. It requires dealing with view point variations, illumination changes, partial occlusion and background clutter and hence is considered as a difficult task. To overcome the above challenges and achieve nearly optimal results, various object recognition approaches are discussed here. Each approach considers various constraints like evaluation time, accuracy, recognition reliability and invariance and based on this, suitable recognition techniques can be evaluated.

2 illus, 8 ref

021418   Sampath S;Senthil Kumar R (NO, University of Madras, Statistics Dep, Email: sampath1959@gmail.com) : Rough clustering using credibilistic critical values. Int J Data Mining Emerging Technol 2015, 5(1), 24-30.

In this paper, the effectiveness of using credibilistic critical values in crisp conversion of fuzzy data is studied. The conversion assumes significance when fuzzy data are considered for the purpose of clustering. In this paper, performance of the well-known clustering algorithm namely rough k-means is evaluated under credibilistic critical value crisp conversion. Comparative studies have been carried out with the help of two artificial data sets describing different environments. In the comparative study, two clustering algorithms namely Lingras and West Rough k-means algorithm and Peters' Rough k-means algorithm have been considered. The well-known rough clustering validity measure,namely, David Bouldin index is employed in this study.

1 table, 20 ref

021417   Saini J R (Narmada College of Computer Application, , Bharuch 392 011, Email: saini_expert@yahoo.com) : Web content mining of Hepatitis-C community forums for identification of most frequently transpiring Lexis. Int J Data Mining Emerging Technol 2015, 5(1), 18-23.

This paper presents the identification of most frequently emerging tokens in the online discussions in community forums on Hepatitis-C, a common disease in many parts of the world. Technically, this has been accomplished by populating the text corpus using the online Web text content. More than 10,000 topics in 2300 posts, collected over a period of seven months, were used for the research purpose. The vector space document model through Bag-of-Words for syntactic parsing and tokenisation or sentence splitting was implemented. The initial number of the lexis was nearly 11,40,000 while removal of noise, stop-words and duplication yielded nearly 15,000 entries. The paper presents the top 100 most frequently transpiring lexis and establishes that the course of treatment, symptoms of the disease and effectiveness of the medicines are key three areas of discussion in the peer online community forum of patients. The results presented here are for Hepatitis-C forum but hold true for other similar diseases as well. To the best of available literature, the paper is first formal attempt to study and analyse the online behaviour of patients.

1 table, 29 ref

021416   Ramesh B;Sathiaseelan J G R (Computer Science Dep, Bishop Heber College, Trichy-17, Tamil Nadu, Email: ram.73110@gmail.com) : Theoretical study on adanced techniques in pre-pjrocessing and text classification. Int J Data Mining Emerging Technol 2015, 5(1), 6-10.

Text mining is an eminent field of research in data mining, which tries to discover knowledge from the structured or unstructured text. Text mining involves several pre-processing and classification techniques. Text classification is a popular research topic in text mining, which is used to classify the text documents into inter-related categories. In this paper, we have discussed various text pre-processing and classification techniques in text mining. Also, we have analysed several limitations, support, confidence and accuracy of results. Based on above discussions, we concluded with some suggestions for the extension studies. This study is very useful to novice text mining researchers.

^iia1 table, 22 ref

021415   Rajagopal D;Thilakavalli K (Computer Science Dep, KSR College of Arts and Science, Tiruchengode, Namakkal DT, Tamil Nadu, Email: sakthiraj2782007@gmail.com) : Efficient Text Mining Prototype for Big Data. Int J Data Mining Emerging Technol 2015, 5(1), 38-41.

Mining is the technique to retrieve the required dataset from the big dataset using the new pattern or existing algorithm. The mining process is the challenging area of knowledge data discovery system. In that, the text mining is plays a vital role. Currently it included many processes such as information extraction, topic tracking, summarisation, categorisation, clustering, concept linkage and information visualisation for the text mining process and which has produced the unfurnished dataset. The objective of this paper describes how the new prototype model reduced the sub-process in the text mining. The model completed the sub-process internally. The new prototype model generating the dynamic pattern to complete the sub-process and it gives the required furnished dataset.

3 illus, 2 tables, 15 ref

021414   Mehdy A K M N;Islam M R (NO, , ) : Remote hardware control by web application. J Instrum Technol Innovation 2015, 5(2), 25-30.

This paper introduces an approach to implement a system that controls remote hardware by web application. Hardware control from a remote distance is a popular research area where there are different approaches studied in the literature. Real life electronic devices can be controlled from a very far distance with no limitation through Internet connection by this system. The system consists of three major parts-Web application part, Desktop application part, Hardware part. One section of the web application part runs in the local computer to which devices are connected to be controlled from a remote place and another section of this part is stored on a dedicated web server which is requested via URL by the end user of this system from a computer or portable devices that should have Internet connection. The user controls the devices from a web page. Desktop application part of this system works on the local computer to which devices are connected. This part retrieves data from the database of the hosted web application part and writes a file to the local computer as well as uses that data to output bits to the computer parallel port. The last, hardware part consists of necessary electronic circuit-based design to make the parallel port output to an effective response for controlling devices. Result and performance analysis of this system has been done on varying environments and distances.

021413   Mathur A;Jakhotia M;Jakhotia M;Lavalekar A; Magar N (Computer dep, VIIT, Pune University, ) : Shortest path finding algorithms for real road network. Int J latest Technol Engng Mgmt appl Sci 2014, 3(10), 53-6.

Several graph analysis algorithms for shortest path can be categorized as single source, single destination, or all pairs algorithms 141,171. Dijkstra's algorithm is one such which falls in the first category, and can be used to find the lowest cost between two nodes when there is a single source. However, it doesn't allow negative weights. It may simply fail in those cases to give correct results. But, in our system, we need to find the shortest path between on real road networks. There are several algorithms for this purpose, such as Bellman-Ford, A" and Floyd-Warshall. In Bellman-Ford, the working is similar to Dijkstra's, i.e. it's a single source shortest path problem (41, but, it can handle negative weight edges. ]n the Floyd-Warshall algorithm, every node can be a source, and can be used to calculate the shortest distance from a source to a destination node. Unlike Dijkstra's algorithm, Floyd-Warshall, in case of negative cycles, will correctly state that there isn't any minimum' weight path, owing to the unbounded negative weight. In short, Floyd-Warshall is an appropriate algorithm for our system which will be used in generating optimal route for all node pairings.

5 illus, 1 table, 9 ref

021412   Makani R;Chaba Y (Computer Science & Engg, GJUS&T, Hisar, Haryana) : Digital signatue and blowfish algorithm based multilevel security model for intrusion detection system. Int J latest Technol Engng Mgmt appl Sci 2014, 3(12), 77-82.

Spread of network communications have lead to the requirement of the safe and secure environments .Intrusion Detection System (IDS) is a tool used to detect unauthorized access to a network. An IDS usually performs this task in one of the two ways, with either anomaly based detection or signature-based detection. Today's embedded and network systems need system and data security more than ever before. Encryption algorithms playa major role in the information security systems and can be used for several kinds of data security besides providing authentication, the assurance that a message came from whom it says it came from, and also non-repudiation, a way to prove beyond a doubt that a particular sender was the originator of a message. Present paper proposes the framing of a multistage security model using blowfish algorithm in combination with DSA and Hashing techniques like MDS, SHAI , SHA2S6, SHASI2 to provide a three stage check to ensure data security, pattern matching for preventing evasion of IDS and authentication before decryption to provide system security. Comparison of different hashing techniques is done to compute digital signature components.

1 illus, 2 tables, 12 ref

021411   Kiran M (A. D. Patel Institute of Technology, , Anand, Gujarat) : "Improved apriori algorithm for reducing execution time of frequent dataset". Int J latest Technol Engng Mgmt appl Sci 2015, 4(3), 144-7.

Association rules are the main technique for data mining. Mining association rules involves a lot of memory and CPU costs. This is especially a problem in data streams since the processing time is limited to one online scan. Therefore, when to update association rules, in real time or only at needs, is another fundamental issue. A new approach is required to update discovered association rules in a database when new transactions are added to, delete from, or modified in the database. However in real time environment, data are added continuously, and therefore, if we update association rules too frequently, the cost of computation will increase drastically. The purpose of the project is to overcome the above defined problem and to present a new approach which may decrease the execution time and increasing efficiency.

16 ref

021410   Joshi J C;Gupta K K (NO, , ) : Improved face recognition rate based on PCA and LDA using image preprocessing techniques. J Instrum Technol Innovation 2015, 5(2), 19-24.

Principal component analysis (PCA) and linear discriminant analysis (LDA) are two powerful tools utilized for dimensionality reduction and feature extraction in most of pattern recognition applications. PCA selects features important for class representation while LDA algorithm selects features that are most effective for class separability. This paper carries out a comparative study of the two important algorithms in the context of enhancement obtained using certain image preprocessing techniques. The implementation has been done in the MATLAB programming environment, and its performance is investigated using facial images from ORL and created databases. The images are preprocessed to yield normalized images which are subsequently used for recognition task.

021409   Javubar Sathick K;Jaya A;Nayeemudeen M (Computer Applications Dep, B S Abdur Rahman University, ) : Generic framework for semantic query conversion in social websources. Int J latest Technol Engng Mgmt appl Sci 2014, 3(10), 75-9.

Many organizations and social networks use databases for storing information and they stored in the database in the form of tables. Data can be retrieved or accessed by SQL queries. End users of the system may not understand complicated SQL queries. This Research paper aims to derive an automatic query translator for Natural Language based questions into their associated SQL queries. This framework provides an user friendly interface between end user and the database for easy access of social web data from different websources such as facebook, twitter and linkedIn etc.,.This paper is implemented using java as the front end and SQL server as the back end. The main objective of this research work is to provide an optimized SQL query for the Natural Language question provided by the user.

7 illus, 8 ref

021408   Jani A M;Chandpa K R (Computer Science Engineering and Information Technology Dep, Shri S'ad Vidya Mandal Institute of Technology, Bharuch 392 001, Email: ashwini_jani@yahoo.com) : Comprehensive study of privacy preserving techniques for distributed database. Int J Data Mining Emerging Technol 2015, 5(1), 11-17.

Data mining is one of the powerful data analysis tools that can find the potential models and rules in data. At the same time, data mining is directly on the original data set, which also produces the leakage of privacy. It has been a significant research subject that how to extract valuable knowledge in data and to preserve private or sensitive information in data mining process from leaking. So the main research direction of privacy preserving data mining is that how to protect private information or sensitive knowledge from leaking in the mining process, meanwhile obtain accurate results of data mining. This paper intends several privacy preserving techniques for distributed database and then proceeds to analyse the merits and demerits of these techniques.

^iia5 illus, 2 tables, 23 ref

021407   Jamuna M;Haribabu S (M.E. Communication Systems, Maharaja Prithvi Engineering College, ) : Text-line extraction and word spotting in a handwritten document. Int J latest Technol Engng Mgmt appl Sci 2015, 4(3), 83-7.

Text-line extraction in unconstrained handwritten documents remains a challenging problem due to non-uniform character scale, spatially varying text orientation, and the interference between text lines. In order to address these problems, which propose a new cost function that considers the interactions between text lines and the curvilinearity of each text line. To detect text in natural scene images based on two machine classifiers. One is used to generate the candidate word regions and the other filter is used to filter the non text ones. In this the connected components in the images are extracted by using maximally stable external region algorithm and the Connected Components are then partitioned using classifier and cluster them by using their pair-wise relations. Text provides important information about images sequences in a documented image, but it always remains difficult to modify the static documented image. To carry out modification in any of the text matter the text must be segmented out from the documented image, which can be used for further analysis. In this paper we convert image in text file which enable editing options to search, modify etc. Also text in the images was converted into audio sound which may be useful for disabled peoples.

7 illus, 10 ref

021406   Jacob S G;Ramani R G (Computer Science and Engineering Dep, SSN College of Engineering, Kalavakkam, Chennai, Email: graciarun@gmail.com) : Prediction of rescue mutants to restore functional activity of tumor protein TP53 through data mining techniques. J scient ind Res 2015, 74(3), 135-40.

Several oncogenic malignancies show evidence of carrying mutations in the TP53 gene causing defects in the genome maintenance mechanisms that tend to instigate cancer. Early and precise detection of genetic mutations is a demanding task in the field of bioinformatics and molecular biology, while the accurate identification of rescue mutations presents great therapeutic remedies. In this research investigation, our aim is to identify potential P53 cancer -causing mutants and predict possible rescue mutations at secondary -site DNA binding domains. We highlight the impact of data mining techniques on predicting the active and inactive P53 mutant status based on the amino-acid substitutions at the DNA-binding sites. A collection of 16772 cancer cases related to P53 mutations, have been explored to detect and categorize the P53 cancer mutants and their rescue mutants in silico through Data Mining techniques. We have identified fifty-four P53 cancer mutants and report new rescue mutants for thirteen existing hot spot P53 cancer mutants. Identification of new rescue mutants is expected to offer remarkable advancement in the field of cancer therapy targeting drugs to specifically restore normal P53 transcriptional activity.

3 tables, 51 ref

021405   Indhumathi S;Govindaraj S;Selvaraj G (Electronics and Communication Dep, Selvam College of Technology, Anna University, Chennai) : A low power single phase clock distribution using VLSI Technology. Int J latest Technol Engng Mgmt appl Sci 2014, 3(12), 1-5.

The clock distribution network consumes nearly 70% of the total power consumed by the IC since this is the only signal which has the highest switching activity. Normally for a multi clock domain network we develop a multiple PLL to cater the need, this project aim for developing a low power single clock multi band network which will supply for the multi clock domain network. This project is highly useful and recommended for communication applications like Bluetooth, Zigbee. WLAN frequency synthesizers are proposed based on pulse-swallow topology and the designed is modeled using Verilog simulated using Modelsim and implemented in Xilinx.

8 illus, 1 table, 7 ref

021404   Ghosal M;Singh P;Shaikh H;Bandal A N (Computer Engineering, SPPU, , ) : Mobile based augmented reality in library. Int J latest Technol Engng Mgmt appl Sci 2015, 4(3), 76-8.

Augmented reality is a term in which real-time objects are converted into 3D objects in virtual environment. Augmented In a library, there is a variety of books having same name or same titled keywords but different contents. It is a tedious task to take out books from the library rack every time while viewing the contents. This paper basically introduces an android application which focuses on augmented reality used in a library with the help of internet connectivity. This application is based on image processing. The Optical Character Recognition (OCR) is used as open sourced software that is used to convert the text in the image of book into characters. The application basically captures the image of the books in a library rack and on selecting a particular keyword of a book we get the related books to the keyword and necessary details then on further selection of a particular book we get the contents of the related book. In this paper it is tried to introduce features to simplify selecting books in the library without any efforts. The application introduces easy way to decide books that are needed from the library. The application will be able to function satisfactorily across all android phones. Experimental results show that the image captured should be of good quality and the camera should be more than or 5mp, so that the data or information about books we get from the image is proper or accurate.

3 table, 9 ref

021403   Dhar Dwivedi N;Pankaj Kuma (Global College of Technology, , Jaipur, Rajasthan) : Design a wirless ECG system. Int J latest Technol Engng Mgmt appl Sci 2014, 3(12), 90-3.

In this paper, we design a wireless wearable ECG (electrocardiogram) system with smartphones for real-time monitoring, self-diagnosis, and remote-diagnosis for chronic heart disease patients before sudden outbreaks. A detection and measurement processor designed by a MSP430 microcontroller accomplishes the analog-to-digital conversion, digital filtering, QRS wave detection, and heart rate calculation. The data of ascertain can be sent to smartphone by using wireless communication. The data of detection also can be sent to the central controller and personal computer (PC) by wireless on-chip MG2455 through a wireless network like zigbee network. This design can be used widely in home healthcare, community health care, and sports training, as well as in healthcare facilities, due to its characteristics of low power consumption, small size, and reliability. The smart shirt with ECG can be worn by In-patients or out-patients and monitored in real-time. Healthcare professionals can access Patient's data wirelessly in real time with their smartphones. This system can be useful especially for senior citizens who live alone or have a disability. Therefore, this system can be utilized for remote medical systems to assist the elderly patients, for self-testing diagnostics or for physicians to diagnose diseases of the circulatory system.

5 illus, 7 ref

021402   Chauhan N;Bhargava S (Suresh Gyan Vihar University, , Jaipur, Rajasthan) : A highly robust and efficient hand gesture recognition system using different techniques for HCI applications. Int J latest Technol Engng Mgmt appl Sci 2014, 3(11), 80-4.

Previous systems have used data gloves, markers or any other input devices for interaction. Hand gesture recognition system provides an alternative to interface devices for human computer interaction (HCI). There are. several hand gesture recognition techniques are proposed. In this paper various hand gesture recognition techniquesare used for HCI applications and this system is real time system. It will recognize real time hand gestures. In this paper, overviews of various different methods for hand gesture are discussed. It has overview of the system that is completely divided into 3 main steps are segmentation, feature extraction and classification. The features that we are extracted are shape based and used in combination for hand gesture detection. In this, trained and untrained gestures are not used for training and testing respectively and the results yields' a robust and efficient hand recognition.

3 illus, 10 ref

021401   Chandpa K R;Jani A M (Computer Science and Information Technology Dep, S'ad Vidya Mandal Institute of Technology, Bharuch-392 001, Gujarat, Email: kalpit.it2011@gmal.com) : Comparative study between two-class SVM and one-class svm classifiers for outlie detection for disease diagnosis. Int J Data Mining Emerging Technol 2015, 5(1), 42-8.

Data mining techniques can be effectively used for major disease diagnosis. Outlier detection based on classification techniques is widely used in disease diagnosis. Support Vector Machine (SVM)-based outlier detection can be used for detecting rare and abnormal objects from disease dataset. SVM-based outlier detection can be possible in two ways: two-class SVM and one-class SVM. Both classifiers have their own advantages and limitations. In this paper, we have applied both classifiers on multiple disease datasets and compared these classifier performances with various measures. Experimental result shows that two-class SVM gives better performance than one-class SVM with res ect to accuracy, sensitivity, specificity and RMSE but it has a long training time compared with oneclass SVM.

10 illus, 6 tables, 15 ref

021400   Bhopale M S;Mali A S (Electronics Dep, T K I E T, Warananagar) : Implementation of process scheduling strategies of operting systems using FPGA. Int J latest Technol Engng Mgmt appl Sci 2014, 3(12), 25-30.

PGA-based hardware implementation of multitasking strategies provide high-performance computing that rival ASICs for performance yet provide programmability and ease of development closer to traditional software systems. Because of their usefulness, such systems are high in demand and have limited availability. Multitasking can be used to increase the utilization of reconfigurable FPGAs. In this proposed system a flexible and up-gradable architecture is provided for using the commercially available reconfigurable FPGA'S. In this system different Multi Tasking Strategies are implemented using VHDL on FPGA. Because it can take advantage of an application parallelism, by using methods to context switch reconfigurable computing resources, multitasking reconfigurable computing systems can be constructed that provide most of the features available in traditional reconfigurable computers. This report describes methods to context switch the resources of a reconfigurable computers, as well as a prototype multitasking reconfigurable FPGA that has been created.

11 illus, 2 tables, 9 ref

021399   Banday Y;Swaminathan R (Electronics Dep, Galgotias University, Gautam Budh Nagar, Greater Noida) : Survey of image enhancement techniques in Wavelet Domain. Int J latest Technol Engng Mgmt appl Sci 2014, 3(11), 69-72.

Comparison of various image resolution enhancement techniques wavelet domains is studied. We analyze various wavelet domain based methods such as Wavelet Zero Padding Dual Tree-Complex Wavelet Transform, Discrete Wavelet Transform, Cycle Spinning and Undercimated Wavelet Transform . The common feature of these algorithms is that they range of the hosen features in the image, which is essentially use the low resolution image (image in which no sharp edges are present) as an input image which is then decomposed into different sub band images by using a specific wavelet transform. .The decomposed image contains high and low frequency components of original image. These sub band images are interpolated with the input image. All these images are combined to generate a new resolution enhanced image by using and adverse transform.

10 ref

021398   Babel M B;Pal B L (CSE Dep, Mewar Universit, Gangrar, Chittorgarh (Raj)) : Mining frequent itemset based on sorting technique. Int J latest Technol Engng Mgmt appl Sci 2014, 3(10), 40-3.

Mining frequent itemset is a very important concept in Data Mining. Association rules are used for analysing costumer behavior and the relationship among the data items. Generally market basket analysis uses the Association rules to identify the costumer purchasing behavior. Apriori algorithm and Fp-Tree algorithms are the two most important algorithm for mining frequent itemsets. This paper presents a new and effective algorithm for mining frequent itemsets, which uses the sorting technique. This algorithm reduces the full scan of the whole database for finding the frequent itemset.

6 tables, 4 ref

021397   Agalya E;Priya A J S (Electronics and Communication Engineering Dep, Idhaya Engineering College for Women Chinnaslem, Tamilnadu) : Content- based spatial- Scalable image compression for arbitrary-resolution display devices. Int J latest Technol Engng Mgmt appl Sci 2014, 3(11), 73-9.

An Image compression is a technique used to reduce the storage required to save an image. The existing image coding methods cannot support content-based image compression for an arbitrary resolution display devices. In this Paper Content -Based Spatial-Scalable Image Compression Provide high Compression than EZW. The EZW is a Very Effective and computationally Simple technique for image Compression. In the mean time discrete wave let transform (DWT) is performed. Here we Present a new and different implementation based on Set Partioning In Hierarchical Trees (SPIRT), While Provides better Performance than EZW. The SPIHT technique can be used for Image Compression to provide high compression Ratio, and Reduce the Image Size Without affecting Object by using Seam Carving technique .the proposed method introduce a new hybrid image enhancement approach driven by both global and local processes on luminance and chrominance components of the image. The result of this approach produced high image quality and PSNR values, and also mean square values. The approach was compared with other well-known image enhancement techniques. The experimental results have shown the superiority of the proposed approach.

5 illus, 2 tables, 12 ref

019422   Walia N (Computer Science Dep, St. Bede's College, Simla, Himachal Pradesh, Email: walia04neha@gmail.com) : Biometrics and fingerprint matching. Asian J Adv Basic Sci 2014, 2(3), 50-6.

Future is in the palm of your hand." With the proliferation of biometric technology, it has never been truer. The future really is in the palm of your hand, but did you know it's also in the pattern of your iris, the minutiae of your fingerprint, and the structure of your face? Biometric recognition, or simply biometrics or life metrics, are base for a plethora of highly secure identification and personal verification solutions. A biometric system is fundamentally a pattern recognition system that recognizes a person by determining the authentication by using his different biological features i.e. Fingerprint, retina-scan, iris scan, hand geometry, and face recognition are leading physiological biometrics and behavioral characteristic are Voice recognition, keystroke-scan, and signature-scan. By using biometrics, iris possible to confirm or establish an individual's identity based on "who he/she is," rather than by "what he/she possesses" (e.g., an ID card) or "what he/she remembers" (e.g., a password). Fingerprint matching has been successfully used by law enforcement for more than a century. The technology is now finding many other applications such as identity management and access control. The papers give a brief overview of the field of biometrics, describe an automated fingerprint recognition system and identify key challenges in the field.

5 illus, 9 ref

019421   Stanley Raj A;Srinivas Y;Oliver D H;Muthuraj D (NO, Vel Tech Dr. RR & Dr. SR Technical Univ, Avadi, Chennai-600 062, Email: stanleyraj_84@yahoo.co.in) : Novel and generalized approach in the inversion of geoelectrical resistivity data using artificial neural networks (ANN). J Earth Syst Sci 2014, 123(2), 395-411.

Non-linear apparent resistivity problem in the subsurface study of the earth takes into account the model parameters in terms of resistivity and thickness of individual subsurface layers using the trained synthetic data by means of Artificial Neural Networks (ANN). Here we used a single layer feed-forward neural network with fast back propagation learning algorithm. So on proper training of back propagation networks it tends to give the resistivity and thickness of the subsurface layer model of the field resistivity data with reference to the synthetic data trained in the appropriate network. During training, the weights and biases of the network are iteratively adjusted to make network performance function level more efficient. On adequate training, errors are minimized and the best result is obtained using the artificial neural networks. The network is trained with more number of VES data and this trained network is demonstrated by the field data. The accuracy of inversion depends upon the number of data trained. In this novel and specially designed algorithm, the interpretation of the vertical electrical sounding has been done successfully with the more accurate layer model.

14 illus, 11 tables, 24 ref

019420   Singh T (BCA & PGDCA Dep, Govt. Degree College, Bilaspur, Himachal Pradesh, Email: tejuit9@gmail.com) : Privacy & security of mobile cloud computing. Asian J Adv Basic Sci 2014, 2(3), 75-82.

The Indian government, like governments elsewhere in the world, has chosen mobile device as preferred platform to engage with citizens while offering various e-Governance services. Likewise there is huge market for mobile based e-Commerce applications across the globe. However uptake of these services is challenged by the security and privacy concerns of the end user. The limited processing power and memory of a mobile device dependent on inherently unreliable wireless channel for communication and battery for power leaves little scope for a reliable security layer. Thus there is a need for a lightweight secure framework that provides security with minimum communication and processing overhead on mobile devices. The security and privacy protection services can be achieved with the help of secure mobile-cloud application services. Taking support from a proximate cloud a security service could be devised for a mobile device which works as an interface and adaptively provides optimum security solutions based on communication channel capacity, available system resources both hardware and software and user-defined parameters. We plan to explore and experiment with available options to recommend security and privacy enhancing approaches that may meet the security need for mobile application using automated sensing of the context.

3 illus, 24 ref

019419   Sharma N B (Computer Science Dep, St Bede's College, Shimla, Himachal Pradesh, Email: sml.nivedita@gmail.com) : IPv6 transition and scenario in India. Asian J Adv Basic Sci 2014, 2(3), 71-4.

This paper reviews the government policy approaches regarding the transition from IPv4 to IPv6. IPv4 is limited to 4.2 billion possible addresses which is not sufficient so another version of internet protocol was developed with 128 bit addresses providing 340 trillion addresses. However the transition process between IPv4 and IPv6 is quite complex. As per the data available, a centre of innovation for IPv6 is planned which refers to a substantial transition to IPv6 by 2020 with the vision to provide an environment of end to end IPv6 Services under a single umbrella with objectives like implementing IPv6 based pilot projects, to develop model Experimental IPv6 Network, Technical support to Central and State Government units Conducting certified training programs R& D in collaboration with premier institutes for new RFC/New applications, IPRs etc. Also Consultancy support at National / International level is to be provided. Auditing of the networks & its certification is another objective of this policy. The document also tracks the sites where this transition has already taken place successfully and different complex mechanisms that this transition has to deal with for its desired working.

1 table, 8 ref

019418   Sharma A;Attri J;Aarti Devi;Sharma P (CSE Dep, Career Point Univ, Hamirpur, Himachal Pradesh, Email: ankushasp@gmail.com) : Implementation & analysis of RSA and Elgamal algorithm. Asian J Adv Basic Sci 2014, 2(3), 125-9.

Cryptography is an emerging technology, which is important for network security. Network security is most vital component in information security as it refers to all hardware and software function, characteristics, features, operational procedures, accountability, access control, and administrative and management policy. This paper describes the implementation of Rivest Shamir Adleman (RSA) and ElGamal Algorithm on JCryp Tool 1.0.0. In this paper comparison of these two algorithms has been done on the basis of security and time consumption for encryption and decryption.

10 ref

019417   Shaikh M;Achary A;Menon S;Konar N (Computer Engineering Dep, SKN-Sinhgad Institute of Technology and Science, Lonavala, Maharashtra) : Improving cloud data storage using data partitioning and data recovery using seed block algorithm. Int J latest Technol Engng Mgmt appl Sci 2015, 4(1), 54-9.

Cloud storage provides online storage where data stored in form of virtualized pool that is usually hosted by third parties the partitioning method is proposed for the data storage which avoids local copy and reduces load on server. This method ensures high cloud storage integrity, security. To achieve this, remote data integrity checking concept is used to enhance the performance of cloud storage. To maintain this data efficiently, there is a necessity of data recovery services. We use a smart remote data backup algorithm, Seed Block Algorithm (SBA). The objective of proposed algorithm is to recover data ; first it help the users to collect information from any remote location in the absence of network connectivity and second to recover the files in case of the file deletion or if the cloud gets destroyed due to any reason.

8 illus, 5 ref

019416   Prithviraj C;Versha P;Debarupa C D;Amitava G (Pharmaceutics Dep, Bengal College of Pharmaceutical Sciences and Research, West Bengal Un, B R B Sarani, West Bengal) : Application of artificial neural network model in predicting physicochemical characteristics of Pharmaceutically developed wafers of Loratadine. Asian J Pharm 2015, 9(1), 44-8.

This study aimed to apply the simultaneous optimization method incorporating artificial neural network (ANN) using multi-layer perceptron (MLP) model to develop buccoadhesive pharmaceutical wafers containing loratadine with an optimized physicochemical property and drug release. The amount of sodium carboxymethyl cellulose and lactose monohydrate at three levels (-1, 0, +1) for each was selected as casual factors. Bioadhesive strength, disintegration time, percent swelling index and t 70% as wafer properties were selected as output variables. Nine buccoadhesive wafers were prepared according to a 3² factorial design and their physicochemical property and dissolution tests were performed. Commercially available Statistica Neural Network Software (Stat Soft, Inc., Tulsa, OK, USA) was used throughout the study. The training process of MLP was completed until a satisfactory value of root mean square for the test data was obtained using back propagation, conjugate gradient descent method. This work exemplifies the probability for an ANN with MLP, to support in development of buccoadhesive wafers with enviable characteristics.

4 illus, 2 tables, 8 ref

019415   Pradhan M;Rautaray S S (NO, KIIT Univ, Bhubaneswar, Odisha) : Current scenario of object tracking: a survey. Int J latest Technol Engng Mgmt appl Sci 2015, 4(1), 60-8.

In current scenario,a computer system has been taken as the most efficient system to detect and overcome the limitations in any technical field.In this survey paper,object tracking is taken into consideration. As the number of cameras used in the wide area video surveillance increases, multi-camera object tracking plays a more important role in understanding and analyzing the scenes. It is challenging problem. An object tracking is simply a problem of finding the different positions of the object in each frame of a video. Object tracking quality usually depends on video scene conditions.If we are able to detect and find the solution to the limitations,object tracking process will be successful without any lacunas.

14 ref

019414   Kuldip Kumar (Computer Science Dep, St. Bede's College, Shimla, Himachal Pradesh, Email: kuldeep4it@gmail.com) : Human computer interaction: review of existing technologies and a look into recent advances. Asian J Adv Basic Sci 2014, 2(3), 23-7.

This paper intends to provide an overview on the Human-Computer Interaction and tries to cover existing technologies and recent advances in this field. The overview includes the basic definitions and recent advances such as ubiquitous computing and ambient intelligence in the field. Though this paper tries to cover all the major and general aspects of HCI yet it may be noted that this paper is not an authenticated document which contains all the aspects of HCI, as this field is changing very abruptly and is spreading over a wide range.

34 ref

019413   Khan M;Han K (The School of Computer Science and Engineering, Kyungpook National Univ, Daegu, Republic of Korea, Email: kjhan@knu.ac.kr) : Review of handover techniques in wireless ad hoc networks based on IEEE 802.21 media independent handover standard. IETE Tech Rev 2014, 31(5), 353-61.

The advancement of new technologies such as LTE-Advanced, WiMAX rel 2, and IEEE 802.11ac standards provides high data rate for mobile users across heterogeneous networks. The increase in data rate also provides support for multimedia and real-time applications. In order to provide better services and uninterrupted connection, a generalized connectivity must be provided to the mobile user across these technologies. In this article, we survey different techniques used to modify the existing Media Independent Handover standard of the IEEE 802.21 and how they reduce handover delay across heterogeneous networks. Furthermore, different parameters such as receive signal strength (RSS), signal-to-interference and noise ratio, data rate, bandwidth, energy consumption, user preferences, cost, and speed of a mobile node are taken into consideration which directly and indirectly affect a handover management process in heterogeneous wireless networks.

2 illus, 3 tables, 69 ref

019412   Kengale P;Kadam R;Chaudhari R;Sagare Sir (NO, Sinhgad Institute of Technology, Lonavala, Maharashtra) : Data hiding in audio by using audio steganography. Int J latest Technol Engng Mgmt appl Sci 2015, 4(1), 88-91.

In this paper, a robust substitution technique is used to implement proposed work of audio steganography. Steganography is an art and science methodology of writing hidden messages such a way that no one apart from the intended reciever knows the existence of the secret message data. This technique resolves the various inherent issues, after that it increases the data hiding capacity while being also achieve robustness from various intentional as well as unintentional hacking attacks.like this it provides privacy to data. The strength of our algorithm is depend on the segment size and its used to achieve very high embedding capacity for different data type that can reach up to 25% from the input audio file size.We are developing two novel approaches of substitution technique of audio steganography that improves the capacity of cover audio which for embedds additional data. Using these methods, messages are embedded into multiple LSB bits. This technique utilizes up to 7 LSBs for embedding data. Results show that both these techniques improve data hiding capacity of cover audio by 25% to 85% These latest approaches for increasing capacity show better results as compared to the existing techniques.

14 ref

019411   Joudaki S;Mohamad D B;Saba T;Rehman A; Al-Rodhaan M;Al-Dhelaan A (Software Engineering Dep, Faculty of Computing, Universiti Teknologi Malaysia, Skudai, Malaysia) : Vision-based sign language classification: a directional review. IETE Tech Rev 2014, 31(5), 383-91.

Sign language is a communication tool for deaf and dumb people that includes known signs or body gestures to transfer meanings. It uses shapes, directions, movements of hands, and also facial expressions. A sign not only transmits a word but also conveys a tone. Many of the deaf people are not only able to speak, but also not able to write or read a language, so developing sign language translation or in other words sign language recognition (SLR) system can be very vital in their life. The SLR is extremely desired because of its capability to overcome the obstacles between deaf and normal people. It is one of the most important research fields in the human computer interaction studies. Hence, this paper presents an overview of the recent main research works with the vision-based SLR system, and the existing recognition techniques are discussed. Next, we focus on video-based SLR system and perform continuous SLR within video sequences.

12 illus, 42 ref

019410   Ghadle Kirtiwant P;Muley Yogesh M (Mathematics Dep, Dr Babasaheb Ambedkar Marathwada Univ, Aurangabad-431 004) : New approach to solve assignment problem using MATLAB. Int J latest Technol Engng Mgmt appl Sci 2015, 4(1), 36-9.

Assignment problem is a special case of transportation problem, in which the objective is to minimized total cost by assigning 'm' jobs to 'n' machines. By using MATLAB coding and some modification in ROA method, optimal solution can be trace for assignment problem within seconds. MATLAB coding result has given for various orders of illustrations.

9 ref

019409   Bindushree M R;Pati V R (NO, CNE Dr. AIT, Bangalore) : Vehicular cloud computing and its security challenges. Int J latest Technol Engng Mgmt appl Sci 2015, 4(1), 40-2.

Vehicular networking has become a significant research area due to its specific features and applications such as standardization, efficient traffic management, road safety. Vehicles are expected to carry relatively more communication systems, on board computing facilities, storage and increased sensing power. Hence, several technologies have been deployed to maintain and promote Intelligent Transportation Systems (ITS). Recently, a number of solutions were proposed to address the challenges and issues of vehicular networks. Vehicular Cloud Computing (VCC) is one of the solutions. VCC is a new hybrid technology that has a remarkable impact on traffic management and road safety by instantly using vehicular resources, such as computing, storage and internet for decision making. The main contribution of this work is to identify a number of security challenges and potential privacy threats in VCs.

6 ref

019408   Attri J;Aarti Devi;Sharma A;Sharma P (CSE Dep, Career Point Univ, Hamirpur, Himachal Pradesh-176 041, Email: ankushasp@gmail.com) : Cryptographic techniques in computer network security. Asian J Adv Basic Sci 2014, 2(3), 98-102.

Cryptography is the most popular approach for information security. Network security is most vital component in information security as it refers to all hardware and software function, characteristics, features, operational procedures, accountability, access control, and administrative and management policy. A number of cryptographic algorithms were developed in order to improve the information security. In this research study paper compares the cryptographic technique son the bases of their speed block size describes the necessary, newly developed, principal concepts for several cryptographic techniques with their merits, demerits used to secure the information.

10 ref

018400   Uddin A;Singh V K (Computer Science Dep, South Asian Univ, New Delhi) : Mapping the computer science research in SAARC countries. IETE Tech Rev 2014, 31(4), 287-94.

This paper presents a scientometric and keyword-based analysis of research work done in the discipline of computer science (CS) in the SAARC region during the last 25 years. We have performed a detailed computational analysis of bibliometric and textual data for publications originating from the SAARC countries indexed in Scopus. Our analysis measures and presents findings on total CS research output of the SAARC countries, global share and rank, growth trends and impact, collaboration levels within and outside of SAARC countries, top-ranking institutions and individuals in the region, most preferred journals in the region, and a text-based research topic trend. The analytical results provide a useful mapping of CS research work in the SAARC region. The results are correlated with other demographic and economic indicators of the SAARC countries, and present inferences useful for determining funding patterns and policy formulation for scientific research in CS domain.

6 tables, 12 ref

018399   Singh M;Singh K (Electronics and Communication Engineering Dep, Invertis Univ, Bareilly-243 123, Email: msingh@gmail.com) : Topology control and maintenance in wireless sensor networks. Invertis J Sci Technol 2014, 7(4), 203-9.

Wireless Sensor Networks (WSNs) are prepared with radio transceivers that assist to form and maintain a fully connected network of sensor nodes. WSNs do not have a permanent infrastructure and do not use centralized methods for organization. Due to their exclusive structure and very less energy storage, computational and memory resources, many of the existing protocols and algorithms designed for such networks cannot be directly used in WSNs. It is anticipated that topology control methods will play an important role in managing the complexity of such highly complicated and distributed systems through self-organization capabilities. The applications related to WSNs are normally optimized by the given network topology and need to be optimized by means of topology control. Topology Construction (TC) and Topology Maintenance (TM) are the aspects that govern the entire topology of WSNs besides regulating the characteristics like queue size, energy consumption, data scheduling and transfer of message packets. It is vital for a network to operate with low energy and better coverage (queue size) with an efficient data transfer rate. In this paper a comparative study of A3, A3-Coverage (A3-Cov), Just tree and Simple tree algorithms have been discussed and the simulation results in terms of queue size, energy consumption and data transfer are put forward.

3 illus, 3 tables, 11 ref

018398   Sen S;Mukhopadhyay B (NO, West Bengal Public Health & Administrative Service, Government of West, 4A, Nasiruddin Road, Flat No, 10, Kolkata-700 017, Email: sen.shibotosh@gmail.com) : Situation of malaria in Kolkata Municipal corporation area: a secondary data analysis report 2011. Indian J community Med 2014, 39(2), 116-17.

Descriptive study was designed based on secondary data of Kolkata Municipal Corporation (KMC). To estimate present status and trend of Malaria in KMC area; to determine time, place, person distribution of Malaria; to identify high-risk areas to mitigate future outbreak, and to recommend control strategies of Malaria. Three different sets of data were analyzed and the final estimate was obtained from the address confirmed database. All the wards were high risk in boroughs 4 and 5. The Annual Blood Examination Rate (ABER) of KMC area declined to 5.29%. The falciparum percentage (Pf %) of KMC area was 8.91% in 2011. The ABER of Borough 14 was 1 but the Pf % was 14.6. "Sen Factor" may be calculated to plan the activities among the wards when the resources are limited. The ABER of Kolkata needs to be improved and Insecticide Treated Nets/ Long Lasting Insecticidal Nets must be considered to control the situation in addition to other regular vector-control measures and Behavior Change Communication activities. Cumulated ABER can be calculated for urban area to get an estimate of fever cases.

^ssc2 illus, 4 ref

018397   Santhi S;Sadasivam G S (NO, , IT Dep, Dr NGP Institute of Technology, Email: shanthimathan@yahoo.co.in) : Design and development of multipath routing protocol using QoS in heterogeneous network. J scient ind Res 2014, 73(11), 729-34.

Heterogeneous network research is a recent extension of networking research. HETEROTB is the testbed for a wired-cum-wireless network that combines a stand-alone infrastructure network with a free-standing Mobile Ad- hoc Network (MANET). An Energy-Efficient Link Stability Routing Protocol (EELSRP) is proposed to establish a desired hybrid connection between MANET and the Internet. The proposed protocol uses a new metric to find the route in an intelligent way with higher transmission rates, less latency and better stability. A new mobility predication mechanism was used to determine the stability of links during path selection and also determine the bandwidth and delay constraint checks during route requests. An experimental Internet testbed was created for a heterogeneous network with a combination of wired and wireless nodes. The implementation included two phases: initial simulation and a performance analysis of the heterogeneous network. Experiment was conducted in this heterogeneous infrastructure with different network integration alternatives, and the performance of different routing protocols was measured for various network sizes, pause times and mobility patterns. In the second phase, network experiments were conducted in realistic environments and the quality of service was measured for different routing protocols.

3 illus, 25 ref

018396   Sampoornam K P;Rameshwaran K (ECE Dep, K.S.R. College of Engg. Tiruchengode, Tamil Nadu, Email: sambu_swasti@yahoo.com) : Efficient data redundancy reduction for sensed data aggregators in sensor networks. J scient ind Res 2015, 74(1), 29-33.

Important issue that is to be discussed in many applications involving Wireless Sensor Network (WSN) is the power efficiency and data aggregation. In this paper, an Efficient Data Redundancy Reduction (EDRR) scheme along with conjugative sleep scheduling algorithm has been proposed. In the existing Localized Power Efficient Data Aggregation Protocol (L-PEDAP), Minimum Spanning Tree based routing scheme was used. In our proposed scheme, CDS based broadcasting is used. This proposed work integrates conjugative sleep scheduler scheme with data redundancy reduction scheme. This power efficient redundancy reduction scheme basically utilizes Differential Pulse Code Modulation (DPCM) technique. Rake receiver model data aggregation is adopted for aggregating the data from various sensor nodes. The network is run for graphs with 100 to 1000 nodes using NS-2 simulator. Since, transmission power is proportional to the square of the distance, multi-hop routing is better than direct communication. The performance of this algorithm is evaluated based on power consumption, life time and detection rate.

3 illus, 1 table, 15 ref

018395   Nithyakalyani S;Gopinath B (Information Technology Dep, K.S.R. College of Engineering, Tiruchengode, Email: nithyakalyani.me@gmail.com) : Analysis of node clustering algorithms on data aggregation in wireless sensor network. J scient ind Res 2015, 74(1), 38-42.

One of the most important constraints to be studied in Wireless Sensor Networks (WSNs) is its life time. There are two typical data mining processes that support to reduce the energy consumption of WSN is clustering and data summarization. One of the primary goals of node clustering in WSN is in-network preprocessing that aims to obtain qualified information and to limit the energy consumed. A clustering algorithm is composed of three parts first electing cluster head (CH), selection of cluster membership and transferal data from members to CH.CH relays only one of the aggregated or compressed data packet to sink/ base station. In this paper a brief comparative study is made from different research proposals, which suggests different cluster head selection approaches for data aggregation. The algorithms under this study are Voronoi based K-means clustering algorithm, Voronoi Fuzzy C-means clustering algorithms and Voronoi based Genetic clustering algorithm. Significant factors for evaluating and comparing these algorithms are defined, analyzed and summarized. It has been assumed that the sensor nodes are randomly distributed and are not mobile, the coordinates of the base station (BS) and the dimensions of the sensor field are known.

3 illus, 1 table, 15 ref

018394   Kumar R S;Arasu G T (Computer Science and Engineering Dep, Jayam College of Engineering and Technology, Dharmapuri, Tamil Nadu, Email: saravanakumar.rsk28@gmail.com) : Modified particle swarm optimization based adaptive fuzzy K-modes clustering for heterogeneous medical databases. J scient ind Res 2015, 74(1), 19-28.

Main purpose of data mining is to extract hidden predictive knowledge of useful information and patterns of data from large databases for utilizing it in decision support. Medical field has large amount of various heterogeneous databases, in which the extraction of hidden useful knowledge for the classification of data is difficult one. In order to cluster and classify the whole databases of medical field, a clustering algorithm MPSO-AFKM (Modified Particle Swarm Optimization based Adaptive Fuzzy K-Modes) is introduced. The proposed method works with the two phases clustering and classification for the effective classification of medical database. The foremost step is the clustering, which utilize the MPSO-AFKM algorithm for obtaining clustered data. In MPSO-AFKM, the categorical data is clustered with Adaptive Fuzzy K-Modes (AFKM) algorithm and the cluster centroids in AFKM is optimized using Modified Particle Swarm Optimization (MPSO) algorithm for getting accurate clustering results. The clustered results of data are classified with the aid of Fuzzy Logic system, by which our required information is achieved. Our proposed work is implemented in Matlab platform on Postoperative Patient dataset. And the performance is also evaluated with the evaluation metrics precision, sensitivity, specificity and accuracy, which shows that our proposed work performance is better one for the effective medical data clustering. Moreover, the comparison is also made to prove the good performance of our proposed work over other existing works.

4 illus, 24 ref

017426   Zachariah R;Jadhav R;Mishra R;Kishan P (Computer Dep, University of Pune/Sinhgad Institute of Technology, Lonavla) : Survey on optimal path finding algorithms for pursuing a moving target. Int J latest Technol Engng Mgmt appl Sci 2015, 4(2), 122-4.

Path finding algorithms are widely used to find the shortest optimal path from a starting point to a destination point. The complexity of such an algorithm greatly depends on whether the target is in motion while the optimal path wherein the hunter and prey are stationary is easy, however pursuing a moving target is difficult as it poses challenges such as search space optimization, limited computational resources, partial knowledge about the environment and real time response. There has been a lot of research in this regard, each following a different approach towards finding the optimal path. In this paper we present an overview of the different approaches.

13 ref