International Journal of Computer Techniques

1-14

Authors: - IJCTR .Navin kumar, Mohamed Faseel.VK

A large number of Ib data repositories are hidden behind restrictive Ib interfaces, making it an important challenge to enable data analytics over these hidden Ib databases. Most existing techniques assume a form-like Ib interface which consists solely of categorical attributes (or numeric ones that can be discretized). Nonetheless, many real-world Ib interfaces (of hidden databases) also feature checkbox interfaces—e.g., the specification of a set of desired features, such as A/C, navigation, etc., for a carsearch Ibsite like Yahoo! Autos. I find that, for the purpose of data analytics, such checkbox-represented attributes differ fundamentally from the categorical/numerical ones that Ire traditionally studied. In this paper, I address the problem of data analytics over hidden databases with checkbox interfaces. Extensive experiments on both synthetic and real datasets demonstrate the accuracy and efficiency of our proposed algorithms.

1-5

Authors: - IJCTXiao Bin-bin ,Jiang Xiao-qi

As to the poor computing power of the wearable devices, the encryption algorithm based on principal component analysis was proposed.First, the algorithm was divided into groups, and each group of data was encoding to extract its main components, then acquired the trend of time series and according to the sequence of the comprehensive index to generate the encryption key. By using the key to carry out the shift operation, a simple cipher text was generated. In the receiver, the same decryption mechanism can be used to get the decryption. The examples showed that the proposed encryption algorithm, compared with the traditional DES algorithm, was simple and easy, It can be convenient and simple application in wearable devices.

1-9

Authors: - IJCTZhaoLiang Li,QingFeng Zhang,WenTian Huang

The skeleton information of human action could be extracted by Kinect sensor, and it was also a hot topic to identify the action based on them. So, an action recognition method based on adaptive weighted dynamic time warping algorithm was proposed. In the method, firstly, the skeleton joints’ coordinates were obtained from the action by Kinect, and then they were normalized. Secondly, the weights were assigned to joint based on inter-intra class joints’ variability and were introduced into the distance computation in the adaptive weighted dynamic time warping algorithm. Finally, voting method was used to recognize the action. Experimental results show that the presented method has a high performance for action recognition in the MSR Action3D database and it is efficient.

1-7

Authors: - IJCTLiang Wu,MingXin He

All things in the world are connected by nature or human activities; All kinds of information systems have recorded data related to the production and life, and stored these data in the database. People are expected to understand the relationship between things that are implicit in the data, including the overall situation and the specific details of a particular relationship. Finding out the potential relationship from the massive data, using the visual technology to present the related network, revealing the correlation hidden in data, have important practical value and significance for commercial and government applications. By means of visualization, the implicit association relation is presented in this paper to help people better understand and explore relevant information. This paper describes the research background, application status and related concepts and technologies of the visualization of association relations; and explores the total solution and implementation technology of visual presentation of the relationship; proposes a successive and interactive "drill down" approach taking network map as the information entrance to explore the general characteristics, the specific relationship and related details of the real world. Finally, get a thorough understanding of the specific issues and subtle insight. The project in this paper has been applied in the tax department. Show the relationship between taxpayers and tax doubtful information through the analysis of related graphics, comparison, "information drilling" and other means to help the business personnel find problems from the relationship between the interests and risk assessment. It has played an important role in supporting the decision making function for tax assessment, tax inspection and tax management, and had achieved satisfactory results.

1-8

Authors: - IJCTLotfi Najdi, Dr. Brahim Er-Raha

The identification of profiles and typologies of students plays interesting role in adapting educational approaches and improving academic outcomes. It is with this perspective that we will show, in this work, how unsupervised learning techniques can be applied to educational data for the extraction of typologies and student profiles. We will also implemented this Clustering analysis using K-means algorithm and R programming language, in order to identify homogeneous groups of students, according to their academic performance in combination with the length of studies of the bachelor program. The dataset used in this study consists of student’s official grades for the six semesters and the final grade of the bachelor degree. The approach presented in this study will enrich the understanding of different learning characteristics of graduatestudents and could be used to adapt teaching approaches and strategies according to the identified student profiles.

1-8

Authors: - IJCTC.Navamani, M.Srimathi

The current system is design and developed a taxi-sharing system that accepts taxi passengers’ real-time ride requests through smartphones and schedules proper taxis to pick up them via ridesharing, subject to time, capacity, and monetary constraints. The monetary constraints provide incentives for both passengers and taxi drivers: passengers will not pay more compared with no ridesharing and get compensated if their travel time is lengthened due to ridesharing; taxi drivers will make money for all the detour distance due to ridesharing. While such a system is of significant social and environmental benefit, e.g., saving energy consumption and satisfying people’s commute, real-time taxi-sharing has not been well studied yet. To this end, we devise a mobile-cloud architecture based taxi-sharing system. Taxi riders and taxi drivers use the taxi-sharing service provided by the system via a smart phone App. The Cloud first finds candidate taxis quickly for a taxi ride request using a taxi searching algorithm supported by a spatiotemporal index. A scheduling process is then performed in the cloud to select a taxi that satisfies the request with minimum increase in travel distance. We built an experimental platform using the GPS trajectories generated by over 33,000 taxis over a period of three months. A ride request generator is developed (available at http://cs.uic.edu/_sma/ridesharing) in terms of the stochastic process modelling real ride requests learned from the data set. Tested on this platform with extensive experiments, our proposed system demonstrated its efficiency, effectiveness and scalability. For example, when the ratio of the number of ride requests to the number of taxis is 6, our proposed system serves three times as many taxi riders as that when no ridesharing is performed while saving 11 percent in total travel distance and 7 percent taxi fare per rider.

1-8

Authors: - IJCTC. Navamani, J.Sindhuja

There are various kinds of valuable semanticinformation about real-world entities embedded in web pages and databases. Extracting and integrating these entity information from the Web is of great significance. Comparing to traditional information extraction problems, web entity extraction needs to solve several new challenges to fully take advantage of the unique characteristic of the Web. In this paper, we introduce our recent work on statistical extraction of structured entities, named entities, entity facts and relations from Web. We also briefly introduce iKnoweb, an interactive knowledge mining framework for entity information integration. We will use two novel web applications, Microsoft Academic Search (aka Libra) and EntityCube, as working examples.

1-5

Authors: - IJCTS.Jagadeesan, A.Mohan

Mobile ad hoc networks (MANETs) have involved much interest due to their mobility and relieve of consumption. Though, the wireless and active natures deliver them more susceptible to different types of safety attack than the hyper system. The chief dispute is to pledge safe network services. To rally this test, credential revocation is an vital primary part to safe network relations. This paper refers, that focus on the concern of credential revocation to segregate attacker from more participating in system actions. For fast and perfect certificate revocation, we offer the Cluster-based Certificate Revocation with Vindication Capability (CCRVC) scheme. The performances of our scheme are implemented by both arithmetical and imitation analysis. Extensive outcome reveal that the future credential revocation scheme is efficient and competent to assurance safe interactions in portable ad hoc networks.

1-9

Authors: - IJCTSheng Lai, Xiaohua Meng, Dongqin Zheng

Molecular dynamics simulation is in-comparably superior to both experiments method and theoretical analysis. However, because computational effort of molecular dynamics simulation is very large, especially, the simulation of a large number of Carbon Nano Tube (CNT) particles, general CPU serial algorithm implementation is inefficient and slow. A Compute Unified Device Architecture (CUDA) based parallel algorithm of CNT molecular dynamics is proposed in this paper to take advantage of the data parallelism of Graphic Processing Unit (GPU). A CNT is divided to several blocks and processed parallel in the GPU. Experimental results show that the algorithm can obtain a speed-up more than 10 times to the CPU serial algorithm in a low-configured graphics card that has only 16 GPU stream processors.

1-5

Authors: - IJCTGidijala Sai Kumar,Gadiraju Mounika, Dusi Leela Rani, K.T.P.S.Kumar

In this paper, a multi-slot micro strip patch antenna for Ku bands with 1GHz is designed and the results are analyzed. As the antenna has dual band, we use the dielectric substrate of permittivity 4.4, loss tangent 0.002 and substrate height of 1.575mm.The simulation of antenna on HFSS software, at 1 GHz frequency, shows the bandwidth of 2.93GHz at frequency of 12.99GHz and 15.93GHz .Simulated results of return loss, VSWR, gain, directivity, 3D-radiation pattern of patch antenna design are shown.

1-6

Authors: - IJCTShraddha Dabhade, Shilpa Verma

In MANET, the mobiles nodes are connected dynamically with the help of wireless links without having a fixed infrastructure or centralized administration. These nodes move freely and organize themselves arbitrarily thus change the network topology rapidly and unpredictably. As a result, there exits frequent link breakages which leads to path failures and route discoveries. The route discovery can lead to overhead which cannot be neglected. Therefore, the fundamental challenge of MANET is to develop a dynamic routing protocol that efficiently establish routes to deliver the packets with minimum overhead, high throughput and low end to end delay. In order to handle overhead issues, the proposed system has presented a novel scheme rebroadcast delay and a rebroadcast probability which will help to reduce the number of retransmissions thereby improving routing performance. In addition, the proposed system is compared with existing routing protocol AODV in terms of packet delivery ratio, packet loss and end to end delay

1-5

Authors: - IJCTOsama H. Abdelwahed, M. El-Sayed Wahed

RK7(5) is a numerical method was used to minimize the local truncation error using selection step size algorithm. Time multiplexing CNN simulator was modied using RK7(5) to improve the performance of the simulator and the quality of the output image for edge detection. The results showed better performance than those in the literature

1-5

Authors: - IJCTSunny Sharma

Medical informatics growth can be observed now days. Advancement in different medical fields discovers the various critical diseases and provides the guidelines for their cure. This has been possible only because of well heeled medical databases as well as automation of data analysis process. Towards this analysis process lots of learning and intelligence is required, the data mining techniques provides the basis for that and various data mining techniques are available like Decision tree Induction, Rule Based Classification or mining, Support vector machine, Stochastic classification, Logistic regression, Naïve bayes, Artificial Neural Network & Fuzzy Logic, Genetic Algorithms. This paper provides the basic of data mining with their effective techniques availability in medical sciences & reveals the efforts done on medical databases using data mining techniques for human disease diagnosis

1-6

Authors: - IJCTKulbirKaur, AnureetKaur

Pair programming is one of the practices of extreme programming. It’s a technique in which two programmers work as a pair together on one workstation. One, the driver, writes code while the other, the observer, pointer or navigator, reviews each line of code as it is typed in. The programmer types the code is called driver and the person review the code is called observer or navigator. Some benefits that can expect from pair programming are: better code, higher morale, better time management, higher productivity and shared knowledge throughout team. In this paper nine experiments are conducted on students to evaluate three parameters: programming skills, number of errors in the program and completion time of program. Results indicate that programming skills increases and number of errors in the program reduces when students adopt pair programming but in completion time there is little bit variations. The feedback from the students show the positive result that pair programming improves knowledge transfer and enjoyment of work.

1-4

Authors: - IJCTSunny Sharma

There are numerous ways to analyse the web information, generally web substance are housed in large information sets and basic inquiries are utilized to parse such information sets. As the requests expanded with time, mining web information amended to meet challenging task in a web analysis. Machine learning methodologies are the most up to date one to go into these analysis forms. Different approaches like decision trees, association rules, Meta heuristic and basic learning methods are embraced for making web data appraisal and mining data from various web instances. This study will highlight these approaches in perspective of web investigation. One of the prime goals of this exploration is to investigate more data mining approaches alongside machine learning systems, and to express emerging collaboration of web analytics with artificial intelligence.

1-6

Authors: - IJCTAmarbir Singh,Palwinder Singh

Big data is a term which refers to those data sets or combinations of data sets whose volume, complexity, and rate of growth make them difficult to be captured, managed, processed or analysed by traditional tools and technologies. Big data is relatively a new concept that includes huge quantities of data, social media analytics and real time data. Over the past era, there have been a lot of efforts and studies are carried out in growing proficient tools for performing various tasks in big data. Due to the large and complex collection of datasets it is difficult to process on traditional data processing applications. This concern turns to be further mandatory for producing various tools in big data. In this survey, a various collection of big data tools are illustrated and also analysed with the salient features.

1-8

Authors: - IJCTPalwinder Singh

Images of different body organs play very important role in medical diagnosis. Images can be taken by using different techniques like x-rays, gamma rays, ultrasound etc. Ultrasound images are widely used as a diagnosis tool because of its non invasive nature and low cost. The medical images which uses the principle of coherence suffers from speckle noise, which is multiplicative in nature. Ultrasound images are coherent images so speckle noise is inherited in ultrasound images which occur at the time of image acquisition. There are many factors which can degrade the quality of image but noise present in ultrasound image is a prime factor which can negatively affect result while autonomous machine perception. In this paper we will discuss types of noises and speckle reduction techniques. In the end, study about speckle reduction in ultrasound of various researchers will be compared.

1-7

Authors: - IJCTAmarbir Singh

Most of the developers use the cross-platform mobile development solutions to develop the mobile application once and run it on many platforms. Many of these cross-platform solutions are still under research and development. Also, these solutions are based on different approaches such as CrossCompilation approach, Virtual Machine approach, and Web-Based approach. There are many survey papers about the cross-platform mobile development solutions but they do not include the most recent tools, including Component-Based approach, Cloud-Based approach, and Merged approach. The main aim of this paper is helping the researchers to know the most recent approaches and the open research issues. This paper surveys the existing cross platform mobile development tools, introduces a comprehensive categorization to the cross-platform tools, defines the pros and cons of each approach and compares the cross-platform mobile development solutions.

1-5

Authors: - IJCTRanjan Kumar Mondal, Enakshmi Nandi, Payel Ray, Debabrata Sarddar

Recently, various types of bandwidth eater are growing rapidly. Cloud computing as a Internet computing has become popular day by day to provide various type of services and resources to web user. Cloud computing employs Internet resources to execute large-scale tasks. Therefore, to select appropriate node for executing a task is able to enhance the performance of large-scale cloud computing environment. There are several heterogeneous nodes in a cloud computing system. Namely, each node has different capability to execute task; hence, only consider the CPU remaining of the node is not enough when a node is chosen to execute a task. Therefore, how to select an efficient node to execute a task is very important in a cloud computing. In this paper, we propose a scheduling algorithm, LB3M, which combines minimum completion time and load balancing strategies. For the case study, LB3M can provide efficient utilization of computing resources and maintain the load balancing in cloud computing environment

1-11

Authors: - IJCTK.E. Eswari, R.G.Subarna

Message authentication is very real techniques to prevent unsanctioned and besmirched messages from forwarded in wireless sensor networks (WSNs). So most of the message authentication schemes have used to established either symmetric-key cryptosystems or public-key cryptosystems. Conversely, have the restrictions of extraordinary computational and communication upstairs of want to more measurement and flexibility to node negotiation attacks. For discourse these problems, a polynomial-based scheme was recently introduced. Though, this scheme and its delays all the fault of a built-in verge strong-minded by the degree of the polynomial: The number of messages transmitted is superior than this verge, the opponent can fully get well the polynomial. So this paper details about the message authentication scheme based on global elliptic curve cryptography (GECC). Although enabling intermediary nodes authentication, this scheme used to permits any node can be transmit an unrestricted number of messages without misery the verge problem. In additional feature of this scheme is also deliver message source privacy. Together theoretical examination and recreation outcomes establish that proposed scheme is most well-organized than the polynomial-based approach in terms of computational and communication upstairs under equivalent sanctuary levels whereas provided that message source privacy. This paper based on private-key, considered as heterogeneous sensor node and multiple base station allowed

1-4

Authors: - IJCTJ.R.Yemul , Aishwarya Badkundri ,Sayali Chaudhari ,VaradaDatar

E-governance is today an emerging trend in the world and also has been widely accepted in India. Information technology has an immense influence on all the departments in Indian Government.It is considered a good practice when traditional paper-based business documents and processes are migrated to digital systems. Tendering system is no exception to this. It is an application through which proposals, bids and reviews are exchanged between interested parties for securing a project that is published via an automated tendering system.The effectual factor for providing the best bidder is to avoid manual intervention. Although, techniques have been developed to provide the basic exchange of documents andmessaging service, very little research and application has beendone in the area of authentication, secure exchange of data, andstorage of tender applications in multi-user environments. The aim of this paper is to convey an effective enterprise framework and an innovative automated technique for secured e-Tendering system. This will help flawless tender processing and avoid disintegration in Government affairs.

1-9

Authors: - IJCTK.E.Eswari , V.Thamayanthi

Provable data possessions is a technique for certifying the reliability of data in storage subcontracting. This project we address the structure of an competent PDP system for circulated cloud storage to support the scalability of service and data migration, in which we consider the existence of multiple cloud service providers to supportively store and maintain the clients’ data. We exsistant a Cooperative PDP system based on holomorphic provable response and hash index hierarchy. We prove the refuge of our system based on multi-prover zero-knowledge proof system, which can satisfy completeness, knowledge soundness, and zero-knowledge properties. In addition, we expressive performance optimization mechanisms for our system, and in particular exsistant an efficient system for choosing optimal parameter values to minimize the computation costs of clients and storage service providers. Our experiments show that our solution introduces lower computation and communication costs in comparison with non-cooperative approaches.

1-4

Authors: - IJCTKavi Dilip Pandya

The extensive research in the field of face detection can be gauged from the fact of great increase in face capturing devises. Millions of people are recorded everyday in cctv’s, video recorder, media, social sites like YouTube, Vimeo, Facebook, Instagram and lot more. Face plays a core part in distinguishing and identifying a person and hence face detection is much sought after. Other factors, such as security have also provided impetus to research in face identification. Though, other detection techniques such as iris scanning, finger-prints scanning are also a way to identify a person but the problem it contains is the fact that it requires a dedicated hardware system and human resource for it. Such problems are not faced in face identification as face is detected through passive resources that do not require involvement from the user side. In this paper we would we would compare and look at the ongoing face detecting techniques and the underlying properties

1-7

Authors: Zeyad Q. Al-Zaydi , Dr. Hisham Salam

Different OCR systems generate multiple outputs for same input image. The difference between several outputs of OCR is used to select the best features from them. Multiple outputs techniques show a significant improvement in OCR accuracy for images that have low scanning resolution and noises. Arabic language often produces high OCR error rate compared to the Latin character-based language. The reason is that, the unique characteristics of Arabic language. For this reason, this paper evaluates the performance of main multiple outputs techniques. The goal of the evaluation process is to test and analysis these techniques on Arabic dataset, and chooses the best for this language. The testing dataset used in the evaluation process is large in order to make the reliability and the validity of the testing are higher. The result of experiments shows that the best performance obtained among comparative techniques is the one that used multiple scanning for same input image to produce several outputs of OCR.

1-7

Authors: - IJCTGalal Ali Hassaan

This research paper aims at studying the generation of a crescent path using a 6 bar – 2 sliders planar mechanism. This mechanism can generate crescent paths of different confutations depending on the location of the point on the mechanism coupler and the dimensions of the mechanism within a dimensions range assigned by an optimal synthesis of the mechanism. The x-span of the generated path equals the mechanism stroke. Normalized dimensions are used to provide wide application of the paths obtained. The generated crescent paths have a normalized y-span from 0.067 to 1.13 indicating the wide range of the generated crescent path.

1-4

Authors: - IJCTP.Padmapriya, R.Kalpana

In this paper deliver we provide the basic concepts in unary mining association rule and survey the list of existing association rule mining techniques. Of course, a single article cannot be a complete review of all the algorithms, yet we hope that the references cited will cover the major theoretical issues, guiding the researcher in interesting research directions that have yet to be explored. Mining association rules is an important problem in the field of data mining due to its wide applications. Weighted Association rule mining has recently been proposed, in which transactions are attached with weighted values according to some criteria. The weights in these approaches may be thought of as an extension of traditional support in association-rule mining. Weighted association rules can be discovered in a variety of forms, like weighted association rules, fuzzy weighted association rules, and weighted utility association rules. We have used association algorithm to automatically calculate transaction Limits. We presented a new algorithm for finding interesting weighted association rules. The interestingness of an item can be computed at the multiplication of weight and support. Interestingness, in some case, can be the potentially useful for finding association rules. Our experimental result shows that proposed interesting weighted Association Rule Mining out performs the existing algorithm in terms of efficiency, time and valued all basic survey mining rules.

8-12

Authors: Anureet Kaur

Mobile platform has taken over all aspects of human activities, and researchers are emphasising on providing efficient and bug free applications running on mobile platform. As the time to market for mobile applications are very short so there is a need for techniques which are automated and provide robust and reliable applications. Although manual testing is the most popular technique for testing graphical user interfaces, but manual testing is often cumbersome and prone to errors. This paper presents a literature review of existing Automated GUI Testing of Android Applications techniques. Because of popularity and open-source nature of android devices the focus of research paper is on techniques used in Android devices.

1-5

Authors: Lisna Zahrotun, Yana Hendriana, Damba Saputra

Early Childhood Education (ECE) is very important to do well in a home environment as well as in the educational environment of pre-school. Education pre-school children at age 2 to 3 years is the formation of character, where education is stressed here in the picture, sound and movement combined with an attractive shape and color. At this age children begin to recognize the objects around it. The introduction of culture is also one of the curriculum in pre-school education. To help children recognize the surrounding culture then designed introduction to the culture medium of learning for children aged 2 to 3 years. Where learning media aims to help children in recognizing culture. In this study generated media that can provide an alternative to teachers in pre-school learning environment. In addition the children will be easier to recognize the culture while also able to train the child's motoricskill in moving the mouse and clicking on the image. Children's learning also feel happy and not bored. Keywords —Learning Media, Motoric Skills, Culture.

20-26

Authors: Mr. Nilesh Mali, Mr.SachinBojewar

In most of the organizations valuable data is wasted because of its different formats in various resources. Data warehouses (DWs) are central repositories of integrated data from different disparate sources with an objective to support in decision making process. The Extraction-Transformation-Loading (ETL) processes are the key components of DWs, so the selection of ETL tool is complex and important issue in DWs. ETL is a process of extraction of data, their transformation to desire state by cleaning it, loading it to a target database. This paper first focus the ETL process briefly then discuses analysis of some of the ETL tools based on the generalized criteria for selection of better tool for the improvement of business growth.

30-33

Authors: K.Ravikumar,V. Vinothkumar

The delay-tolerant-network (DTN) model is becoming a via communication alternative to the traditional infrastructural model for modern mobile consumer electronics equipped with short-range communication technologies such as Bluetooth, NFC, and Wi-Fi Direct. Proximity malware is a class of malware that exploits the opportunistic contacts and distributed nature of DTNs for propagation. Behavioral characterization of malware is an effective alternative to pattern attaching in detecting malware,especially when dealing with polymorphic or obfuscated malware. In this paper, we first propose a general behavioral characterization of proximity malware which based on Naive Bayesian model. We identify two unique challenges for extending Bayesian malware detection to DTNs and propose a simple yet effective method, look-ahead, to address the challenges.Furthermore, we propose two extensions to look-ahead, dogmatic filtering and adaptive look-ahead, to address the challenge of “malicious nodes sharing false evidence”. Real mobile network traces are used to verify the effectiveness of the proposed methods.

37-39

Authors: K.Ravikumar, A. Surendar

Cloud computing is a working; process involves virtualization, distributed computing,networking, software and web services. A cloud consists of several elements such as clients, datacenter and distributed servers. It includes fault tolerance, high availability, scalability, flexibility, reduced overhead for users, reduced cost of ownership, on demand services etc. Cloud computing deliver the computing as a services whereby share resources, software, information via Internet which are accessed by the browser. The business software and data are stored in server at Remote Location, Cloud computing provides the kinds of services that are Infrastructure, Software, platform as a services. Gossip Protocol is effective protocol for the dynamic load balance in the distributed system and continuously execute process input & output process. Resources allocation policies are computed by protocols. Our contribution includes outlining distributed middleware architecture and presenting one of its key elements: a gossip protocol that (1) ensures fair resource allocation among sites, (2) dynamically adapts the allocation to load changes and (3) scales both in the number of physical machines and applications. The protocol continuously executes on dynamic, local input and does not require global synchronization, as other proposed gossip protocols.

44-52

Authors: Honorine Mutazinda A,Mary Sowjanya ,O.Mrudula

The paper presents a clustering ensemble method based on ensemble clustering approach for mixed data. A clustering ensemble is a paradigm that seeks to best combine the outputs of several clustering algorithms with a decision fusion function to achieve a more accurate and stable final output.Most traditional clustering algorithms are limited to handling datasets that contain either numeric or categorical attribute and these algorithms were not generally scalable for large datasets. However; datasets with mixed types of attributes are common in real life data mining applications. So a novel divide-andconquer technique is designed and implemented to solve this problem.First, the original mixed dataset is divided into two sub-datasets: the pure categorical dataset and the pure numeric dataset. Next, existing well established clustering algorithms designed for different types of datasets are employed to produce corresponding clusters. Last, the clustering results on the categorical and numeric dataset are combined as a categorical dataset, on which the categorical data clustering algorithm is used to get the final clusters.

61-66

Authors: Hadi Ghadimkhani, Ali Habiboghli, Rouhollah Mostafaei

In this article, we first normalized data by using random sampling conducted and chose a limited number of data. Then we determined the two types of clusters using hours and non-working hours and hours, and we implement the clusters ID3 and Decision tree algorithms. The results of our proposed method show that ID3 algorithm for high power at sorting and classification acts better than Decision tree. The purpose of this paper is to compare the performance of these two algorithms.

72-76

Authors: Karandeep Kaur, Ms. Poonamdeep Kaur, Ms. Lovepreet Kaur

The risk of coronary illness is increasing at a fast pace and it's been scowling at us for a considerable length of time, making us doubt each subtle element of our confounded way of life decisions, eating regimen and level of physical movement. It's been a main executioner in the West and has now forcefully advanced toward India. As indicated by government information, the pervasiveness of heart disappointment in India because of coronary illness, hypertension, corpulence, diabetes and rheumatic coronary illness ranges from anyplace between 1.3 to 4.6 million, with a yearly frequency of 491,600 to 1.8 million. But because of impreciseness of the diagnosis tools less than 68 per cent of heart diagnosis yield correct results. To make the odds go higher, this research presents a novel algorithm whose key idea is germinated from classical association rule mining.

81-83

Authors: R. Bharathi

The peoples are before the purchasing invention to see the product reviews on internet. But some time the reviews are often not confidentiality and provide difficult about product aspect and people could not identify the review information via internet. Nowadays online shopping plays an excellent role in our life. Peoples are more comfortable to buy online products at the same time manufacturers also provide reliable products .Most retail Websites promotes consumers to write their feedbacks about products to express their opinions on various aspects of the products. The web contains outstanding source of consumer opinions. A product may have thousands of aspects. Different kinds of users give their different kinds of opinions .so the volume of the textual information increased rapidly. It is difficult for users to read all the reviews to make a good decision. It is also difficult for manufacturers and providers. These needs extracted aspects and estimated ratings clearly provide more detailed information of users to make decisions and for suppliers to monitor their customers. In this research, we aim to mine and to summarize all the customer reviews of a product. This summarization task is different from traditional text summarization because we only mine the features of the product on which the customers have expressed their opinions and whether the opinions are positive or negative. We do not summarize the reviews by selecting a subset or rewrite some of the original sentences from the reviews to capture the main points as in the classic text summarization. Our task is performed in three steps. (1) Mining product features that have been commented on by customers. (2)Identifying opinion sentences in each review and deciding whether each opinion sentence is positive or negative. (3) Summarizing the results.

89-92

Authors: K.Ravikumar, S. Thamizharasi

Cloud Computing is a model for delivering information technology services in which resources are retrieved from the internet through web-based tools and applications, rather than a direct connection to a server. A distributed cloud storage system contains collection of storage servers which continuously provides storage services to the third party or clients. The distributed cloud storage system must maintain the data confidentiality over the stored data in the storage server. This can be done by encoding over the encrypted data on the storage server. The distributed cloud storage system also maintains the robustness and functionality over the encoded and encrypted data. The distributed cloud storage system support data forwarding operations over encoded and encrypted messages.

98-102

Authors: Kirti Karande, Ibrahim Shaikh, Tanzeel Shaikh, Hardik Vaghela

Places where internet and cellular connectivity is weak and mobile devices are used, Bluetooth can prove to be a beneficial communication medium. Also, Android operating systems are quite often used in the organizations by the employees and the staff. Hence, we propose a Bluetooth based Android Chat Application that can communicate with a BT device outside the Bluetooth range of the Source device. For this, an adhoc network is created that acts as a mediator between the source and the destination BT device.The path within this network is found using the MPR flooding technique. As privacy of messages is crucial, RSA encryption is used for securing the messages.

1-5

Authors: Saudagar Arshed Salim , Prof. Mr. Vinod Shinde

Now a day, Satellite images are being used in many fields of research in the world of the system. In this topic one of the main issues of these types of images is their resolution method. Here, we propose a new satellite image resolution enhancement technique based on the interpolation of the high-frequency sub bands obtained by discrete wavelet transform (DWT) and the input image of the system. In this, the proposed resolution enhancement technique uses DWT to divides the input image into different sub bands of the system. The high-frequency sub band images and the input low-resolution image have been interpolated followed by combining all these images to generate a new resolution-enhanced image by using inverse DWT in the system. To achieve a sharper image an intermediate stage for estimating the high-frequency sub bands has been proposed in this technique. So, the proposed technique has been tested on satellite benchmark images in this system. Finally, the quantitative and visual results show the superiority of the proposed technique over the conventional and state-of-art image resolution enhancement techniques. Keywords — Discrete wavelet transform (DWT), interpolation, satellite image resolution enhancement, wavelet zero padding (WZP)

25-31

Authors: Surekha J; Anita Madona M

Wireless sensor network (WSN) is primarily designed for real-time collection and analysis of data in hostile environments. One of the major challenges of WSN is security. Network security is the most vital component in information security, because it is responsible for securing all information passed through the networks. The security of WSN poses challenges because of the criticality of the data sensed by a node and in turn the node meets severe constraints, such as minimal power, computational, and communicational capabilities. An identification of a suitable cryptographic algorithm for WSN is an important challenge due to the computational time, computation capability, and storage resources of the sensor nodes. Many symmetric algorithms have been implemented for sensor networks. In earlier studies, it is found that asymmetric algorithms, such as ELGAMAL and RSA, have not been implemented due to high-power constraint and for memory constraints. In this paper, it can be implemented for wireless sensor in an efficient manner using optimized computation. In this paper, the performance of the RSA cryptography algorithm is compared with the ELGAMAL algorithm by evaluating the cluster-based wireless network topology environment. The simulation results of both RSA and ELGAMAL show the comparative study using the NS2 simulation tool. The result shows that the RSA algorithm consumes a less computational time, data transmitting, and has a good storage capacity than the ELGAMAL.

40-46

Authors: Prabhat Kumar , Dr. KiranJyoti

Recommender frameworks have changed the way individuals discover items, data, and even other individuals. They study examples to recognize what somebody will incline toward from among an accumulation of items he has never experienced. The innovation behind recommender frameworks has advanced in the course of recent years into a rich gathering of devices that empower the expert or scientist to create successful recommenders. Collaborative filtering, a standout amongst the most generally utilized approach as a part of recommender framework, predicts a client's appraising towards an item by accumulating appraisals given by clients having comparative inclination to that client. In existing methodologies, client comparability is regularly processed all in all arrangement of items. In any case, on the grounds that the quantity of item is frequently huge, as is the assorted qualities among items, clients who have comparative inclination in one class of items may have very surprising judgment on items of another kind. Keeping in mind the end goal to manage this issue, we propose a strategy for grouping items, so that inside a cluster, closeness between clients does not change altogether. After that, when anticipating rating of a client towards a items, we just total appraisals of clients who have high likeness degree with that client inside the cluster to which that item has a place. Investigations assessing our methodology are completed on the genuine dataset taken from motion pictures suggestion arrangement of MovieLens site. Preparatory results recommend that our methodology can enhance expectation precision contrasted with existing methodologies. Keywords —Recommender System, Clustering.

54-59

Authors: Kamlesh Kumar Pandey; Rajat Kumar Yadu; Pradeep Kumar Shukla; Narendra Pradhan

Traffic management is major problem of traffic department in busy lane/road inside of city in intersection of lane . Always we looking one traffic man can’t handle to a many intersection lane traffic and large traffic area this research paper can be cover four way lane traffic handling without traffic man using light single. We try in this Research paper are describes how to sense the traffic and how to handle a large traffic in four way lane using fuzzy logic. We trying in this research paper to cover some technical device and feature to traffic management and this research is provides a detailed study of fuzzy logic controller for traffic.

67-70

Authors: Bulat Umurzakov, Naila Maksutkaliyeva

The results of research, submitted in the report, are the approaches for data delivery to databases using XML and protocol buffers. Comparisons of two methods and their advantages and shortcomings are given. It is shown that data exchange between various DBMSs goes much quicker when using protocol buffers. Keywords — Protocol Buffers, serializing, parsing, database;

74-79

Authors: Ya-ju Zhang, Zhan Huang

Information exchange plays a vital part in the success of public health emergency alarm system. It includes collecting and integrating the monitoring information, sharing of data, commanding coordinately and so on. An information exchange model based on HL7 v3 and ontology is proposed in this paper. It adopts HL7 v3 and ontology techniques to tackle the problem caused by structural and semantic heterogeneities respectively. This approach promises a system capable of overcoming difficulties encountered by traditional information exchange in the public health emergency alarm system.

86-89

Authors: XiaoDong Lv,HuiJin Wang

The output function of data is essential for an information management system. How to output data dynamically is the key process. In order to meet the flexibility of data output and the easiness of operation, the printing process uses Fast Report to customize a print template. We add or delete some data items on the template, these data items represent output information, and then it can achieve user defined output through mark escaped date item in the template. This function achieve dynamic print through modifying the template data item instead of modifying the system code.

96-99

Authors: Sabiapreet Bedi ,Sandeep Kaushal

Microwave radar signal in various ranges have found a wide application in this era in the various field like defence, surveillance, emergency and scientific .The multidisciplinary application of this technology has attracted the attention of many researches, scientists and academicians to contribute their effort. However, the ultra wide band (UWB) with its feature like range and resolution has found applicable in through the wall imaging system where the other sensors like infrared etc, could not solve the purpose because of their non penetration capability through the wall. Similarly in the ground penetrating system, to detect the buried objects the microwave radar signal with UWB are significant as compared to the other sensors. The major challenge for a researcher is to calculate and measure the parameters of microwave signal .The present paper is an endeavour to estimate the major parameters like reflection coefficient, speed of propagation though the wall of various materials with different dielectric constant in the simulation environment.