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.