020317   Patil S;Dharaskar R;Thakare V (NO, , Computer Science & Engineering Dep, Amravati Univ) : Cloud forensics: a framework for digital forensic in cloud based environment by identifying SLA breaches by cloud actors. Int J latest Technol Engng Mgmt appl Sci 2017, 6(6), 184-9.

Cloud Service Provider(CSP) and Cloud Service Consumer(CSC) work on the terms agreed in the Service Level Agreements(SLA). SLA is a written agreement which serves as the basis for the expected level of service the CSP must provide. As the CSP are enterprises that are profit driven it is beneficial for the CSP to cheat on the SLA. Hence CSP do not provide the facility of auditing the SLA. As such the CSC must be equipped to ensure that the services promised by the CSP are provided by it so that in case of breach of service, the CSC has sufficient evidences to claim for penalty. Moreover virtual machines are prone to attacks by malicious cloud actors. To aid the investigation process sufficient evidences are needed. Hence, a framework based on the concept of Third Party Auditor (TPA) is proposed in this paper. This TPA will be placed between the Cloud Service Provider (CSP) and the Cloud Service Consumer (CSC) to closely monitor terms and conditions of SLA and ensure that CSP satisfies all the conditions mentioned in the SLA. If it is violated then the framework detects and stores it in a database maintained for this purpose. The TPA will also monitor attempts by malicious cloud actors and maintain log of all such attempts. Snapshots of clients' virtual machines will also be stored at a regular interval.

11 tables, 21 ref

020316   Patil S;Ashokkumar P S;Patil P B (ECE Dep, BLDEA'S Dr P.G.Halakatti College of Engineering & Technology, Vijayapur) : Smart home system using internet of things over WiFi. Int J latest Technol Engng Mgmt appl Sci 2017, 6(6), 126-9.

Internet of Things (IoT) is a system of interconnection any physical objects around us that has an on and off switch to the Internet. IoT covers a wide area and includes variety of devices like smart phones, PDAs, sensors, actuators and digital cameras. All these devices can be connected to each other to enable smart processes and services that support our basic needs, environment and health. One such service that supports basic need is making our home a Smart Home. The main objective of the project is to develop a low cost and flexible Smart Home System using an embedded web server, with IP connectivity that will provide remote control of home appliances and also provide security against any problems by using Android based Smart phone application when the home host is not at home. This proposed work is concerned with the controlling of different home appliances automatically using internet which is meant to save the electric power and human energy. The various appliances connected to the microcontroller and sensors are connected using wireless network. - 4 - 

6 illus, 9 ref

020315   Naveena M;Hemantha Kumar G (Studies in Computer Science Dep, Mysore Univ, Manasagangotri-570 006) : Partial face recognition based on gabor texture kernels. Int J latest Technol Engng Mgmt appl Sci 2017, 6(1), 41-3.

Biometrics refers to the recognition of individuals based on their physiological and behavioral traits. The Full and Partial face recognition is one of the challenging ongoing research works. For Public safety and national security enhance the needs for partial face recognition techniques, which are among the most secure and accurate authentication tools and these applications are not commonly used, yet, but the area is interesting especially in crime investigation. In this paper, we present the face recognition under partial visibility such of using partial face as biometric for person identification. The implemented method consists of three stages. In the first stage, pre-processing of both full and partial is done. In the second stage, features such as shape and textures are extracted. Finally, matching is done between pierced and non-pierced image of an individual.

3 illus, 1 table, 17 ref

020314   Nadeem A;Khan M;Han K (School of Computer Science and Engineering, Kyungpook National Univ, Daegu, South Korea) : Non-cooperative spectrum sensing in context of primary user detection. IETE Tech Rev 2017, 34(2), 188-200.

Spectrum sensing (SS) is one of the key tasks in cognitive radio networks that is performed to get awareness about the usage of electromagnetic spectrum. It enables the secondary user (SU) to detect the presence/absence of primary user (PU) and plan its transmission strategy accordingly. The aim of SS is to detect the presence or absence of PU in a certain frequency band and allow or prevent the SU's transmission on the basis of sensing result. In this paper, a review on different SS techniques is presented in the context of PU detection. We mainly focus on - 3 - non-cooperative SS methods used for the PU detection. PU is the incumbent user in cognitive radio networks, and its transmission should not be interrupted. Moreover, it can start its transmission at any time, so the SU has to sense a channel before starting its transmission and monitor the arrival of PU continuously as long as it utilizes the channel to avoid any interference. The PU detection techniques are further divided into five main categories i.e. energy, covariance matrix, cyclostationary feature, matched filter, and wavelet-based detection. We investigated different algorithms based on each of these categories from PU detection perspective and discussed its various issues and challenges. Moreover, a detail comparison of the approaches is provided in terms of detection mechanism, parameters used, advantages, limitations, and comments on each scheme. Similarly, the comparison of the approaches is studied in context of detection over different levels of signal-to-noise ratio. Finally, detail findings from the study are provided for future enhancement of the PU detection mechanisms.

^iia9 illus, 5 tables, 76 ref

020313   Lopez-Colino F;Colas J;Garrido J (HCTLab, Technology for Electronics and Communications Dep, Universidad Autonoma de Madrid, Madrid, Spain) : Full skeleton-based virtual human animation: An improved design for SL avatars. IETE Tech Rev 2017, 34(1), 11-21.

This paper presents a novel skeleton design for avatar animation. This design includes new bones, whose purpose is to meet the requirements of sign language (SL) synthesis. SL synthesis presents particular challenges regarding the processing of phonetic descriptions of signs to create animations. Although traditional animation techniques have solved the synthesis of signs, the proposed skeleton design allows for the simplification of the phonetic processing, the inverse kinematics calculations, and the collision avoidance processes. The proposed design has been tested to demonstrate that the generated animations have the same quality as the ones produced with state-of-the-art techniques. Importantly, the proposed structure reduces the time required for generating an animation by 52% compared to existing solutions and requires less storage resources.

6 illus, 4 tables, 29 ref

020312   Lakshmi K D;Vaithiyanathan V (School of Computing, SASTRA Univ, Thanjavur) : Image registration techniques based on the scale invariant feature transform. IETE Tech Rev 2017, 34(1), 22-9.

Image registration deals with establishing correspondences between images of the same scene or object. An image registration algorithm should handle the variations introduced by the imaging system capturing the scene. Scale Invariant Feature Transform (SIFT) is an image registration algorithm based on local features in an image. Compared to the previous registration algorithms, SIFT is more robust to variations caused by changes in size, illumination, rotation, and viewpoint of the images. Owing to its performance, the algorithm is widely studied, modified, and successfully applied in many image and video based applications, in the domains such as medicine, industry, and defense. This paper is an outcome of extensive study on the state-of-art image registration algorithms based on SIFT. Around 20 algorithms based on the SIFT algorithm is discussed. A classification is made based on the objective with which the basic algorithm is modified. A comparative study on the performance, methodology of each technique is presented along with their applicability to various image processing applications and domains.

3 illus, 1 table, 36 ref

020311   Huang L C;Feng T H;Hwang M S (Computer Science and Information Engineering Dep, Asia Univ, Taichung, Taiwan) : New lossless embedding techniques based on HDWT. IETE Tech Rev 2017, 34(1), 40-7.

Considering information security, reversible data hiding methods provide an efficient and simple way to prevent illegal accessing and unauthorized tampering. Adopting converted techniques, original images are going to be transferred to a collection of coefficients to be altered for embedding secret message. Then, the coefficients are converted to stego-images inversely. And stego-images are able to be a cover image to embed secrete message at the next stage. The horizontal operation of Haar digital wavelet transformation transfers images format from spatial domain to frequency domain in this paper. Then, decimal of coefficients will be altered for hiding secret bits. Finally, the modified coefficients are inversely transformed to stego-images. Our scheme has high peak signal to noise ratio (PSNR) when bits per pixel are near one bit. In this paper, we are concerned about data hiding for a special kind of - 2 - image.

5 illus, 7 tables, 30 ref

020310   Bhatt N;Bhatt N;Prajapati P (Computer Engineering U & P U Patel Dep, CSPIT, CHARUSAT, Gujarat) : Deep learning: a new perspective. Int J latest Technol Engng Mgmt appl Sci 2017, 6(6), 136-40.

In the last few years, deep neural networks have conquered research area in machine learning and pattern recognition. Deep learning is machine learning techniques that automatically learn hierarchical representations in deep architectures for classification. The goal is to find more important features by using neural networks. In the era of big data where for any real world application, large amount of data need to be processed, deep learning is proven to be the superior to other machine learning techniques. It is applied into the diverse area like speech recognition, natural language processing and collaborative filtering and proved to be superior to other machine learning techniques. It generates large scale neural networks that allow the machine to learn and compute by itself without any human intervention. In this paper we represent the in depth survey on deep learning and its application.

2 illus, 14 ref

020309   Bhamral R;Mahajan S (Computer Science Engineering Dep, Beant College of Engineering & Technology, Gurdaspur) : Performance evaluation of energy harvesting for the IoT based on fuzzy logics. Int J latest Technol Engng Mgmt appl Sci 2017, 6(6), 159-62.

Numerous energy harvesting wireless devices that will serve as building blocks for the Internet of Things (IoT) are currently under development. Basically energy efficiency stands as vital requirement that makes wireless protocols and technologies ideal for use in IOTs. Thus nodes in IOTs are battery-powered, so a low-power feature is a fundamental requirement. This paper represents that many energy efficient techniques have been proposed so far for better energy consumption. Out of them fuzzy based IOTs has shown quite effective results but still it can be improved further by introducing other membership functions. The main motive of this paper is to propose gaussian functional shapes based membership function for optimizing and reducing energy consumption in IOTs.

4 illus, 3 tables, 13 ref

020308   Badr E M;Mohamed B (Scientific Computing Dep, Faculty of Computers and Informatics Benha Univ, Egypt, Email: badrgraph@gmail.com) : Complexity of linear and general cyclic snake networks. Int J mathl Combinatorics 2017, 3(Sep), 57-70.

In this paper authors prove that the number of spanning trees of the linear and general cyclic snake networks is the same using the combinatorial approach. Authors derive the explicit formulas for the subdivided fan network S(F_n) and the subdivided ladder graph S(L_n). Finally, we calculate their spanning trees entropy and compare it between them.

8 illus, 12 ref

018378   Tripathi A (Zoology Dep, Ranchi Univ, Ranchi) : Artificial intelligence: Its pros and cons. Indian Sci Cruiser 2017, 31(1), 47-50.

Artificial Intelligence is a recent discipline of computational science which is based on understanding the mechanism of human intelligence and designing the machines and robots that are capable of perceiving the information, learning, thinking reasoning, analyzing, solving specific problems with specific strategies, language processing, and speech synthesis akin to humans. Since human intelligence is a multifaceted phenomenon, artificial intelligence involves an interdisciplinary approach of study and research. Many IT companies are actively engaged in manufacturing intelligent machines and devices. Many products have come in the market and frequently used in various industries and many more are likely to come very soon. Thus, this industry is set to supersede the human resource almost in all sectors. Keeping in view its beneficial and hazardous impacts on human resource a brief overview has been given in the present article.

1 illus

017395   Arunachalam S;Madhan M (DST Centre for Policy Research, Indian Institute of Science, Bengaluru-560 012, Email: subbiah.arunachalam@gmail.com) : Adopting ORCID as a unique identifier will benefit all involved in scholarly communication. Natn med J India 2016, 29(4), 227-34.

ORCID, the Open Researcher and Contributor ID, is a non- profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. Together with other persistent identifiers for scholarly works such as digital object identifiers (DOIs) and identifiers for organizations, ORCID makes research more discoverable. It helps ensure that one's grants, publications and outputs are correctly attributed. It helps the research community not just in aggregating publications, but in every stage of research, viz. publishing, reviewing, profiling, metrics, accessing and archiving. Funding agencies in Austria, Australia, Denmark, Portugal, Sweden and the UK, and the world's leading scholarly publishers and associations have integrated their systems with ORCID registry. Among the BRICS countries, China and South Africa are adopting ORCID avidly. India is yet to make a beginning. If research councils and funding agencies in India require researchers to adopt ORCID and link ORCID iDs to funding as well as tracking performance, it will help them keep track of the workflow. Journal editors can also keep track of contributions made by different authors and work assigned to different reviewers through their ORCID iDs.

3 illus, 43 ref

016401   Thendral R;Suhasini A (Computer Science and Engineering Dep, Annamalai Univ, Annamalai Nagar, Chidambaram-608 002, Email: thendralamutha@gmail.com) : Automated skin defect identification system for orange fruit grading based on genetic algorithm. Curr Sci 2017, 112(8), 1704-11.

Using machine vision technology to grade oranges can ensure that only good-quality fruits are exported. One of the most prominent issues in the post-harvest proc-essing of oranges is the efficient determination of skin defects with the intention of classifying the fruits depending on their external appearance. Shape, size, colour - 7 - and texture are the important grading parame-ters that dictate the quality and value of many fruit products. The accuracy of the evaluation results is in-creased by proper combination of different grading parameters. This article presents an efficient orange surface grading system (normal and defective) based on the colour and texture features. As a part of the feature selection step, this article presents a wrapper approach with genetic algorit hm to search out and identify the informative feature subset for classific a- tion. The selected features were subjected to various classifiers such as support vector machine, back propagation neural network and auto associative neural network (AANN) to study the performance analysis among these three classifiers. The results reveal that AANN classification algorithm has the highest accuracy rate of 94.5% among these three classifiers.

7 illus, 4 tables, 26 ref

016400   Tejasvi K;Shyamkishore G (NO, , ) : Low-power and area-efficient N-Bit carry-select adder. J Netwk Secur 2017, 5(1), 22-7.

Design of High Efficiency Carry Select Adder Using SQRT Technique presents many opportunities for increasing the speed and reducing the area of any data processor. Only Carry Select Adder (CSLA) is the fastest adders which are used in many data-processing processors to perform fast arithmetic operation. From the structure of the CSLA, it is clear that there is scope for reducing the area and delay in the CSLA. In this thesis, we have implemented a carry select adder for the computational process, these modules are programmed in VHDL Carry Select Adder (CSLA) is the fastest adder in all other adder. This work uses very simple and efficient gate-level modification to reduce the area and delay of the CSLA. Based on this modification 8-, 16-, 32-bit square-root CSLA (SQRT CSLA) architecture has been developed and it is compared with the regular SQRT CSLA architecture. The proposed design has reduced area and delay as compared with the regular SQRT CSLA with only a slight reducing the delay. This work evaluates the performance of the proposed designs in parameters that is delay, area, and their products with logical effort. The results analysis shows that the proposed CSLA structure is better than the regular SQRT CSLA.

016399   Sherine Jenny R;Naryanaswamy S (NO, , ) : Impact of ping flood attack and its mitigation technique: A performance evaluation. J Netwk Secur 2017, 5(1), 11-21.

Security has become the need of the hour as no organization is immune to data breach. A recent survey reports that 16% of attack on network is due to denial of service attack, which prevents legitimate users from accessing services or information. This paper focuses on ping flood attack, ping of death, SYN flooding and defense mechanism to defend the nodes being attacked in real time. Ping flood attack is successful when an attacker overwhelms the server by sending bogus redirect requests than the server can process. It is a kind of denial of service attack where online banking, email, and commercial websites are often targeted. Ping of death is when the size of the ping packet exceeds the normal packet size. SYN flooding is a situation when the victim is unable to accept and serve new requests due to half open connections. Quality of service (QoS) parameters such as data dropped due to buffer overflow, delay, load, retransmission count, and TCP segment delay are analyzed for different scenarios and graphs are plotted using OPNET simulator. We show that there are possible solutions to recover network from losses incurred due to attack by employing firewall to block all traffic coming from an attacker by identifying the IP, varying segment size, etc.

15 ref

016398   Banerjee S;Karforma S (Computer Science Dep, The Univ of Burdwan, Burdwan West Bengal, Email: bansoumendu@gmail.com ) : Object oriented analysis and design of digital certificate based mark-sheet authentication in E-learning. Ultra Scient phys Sci-Sect B 2016, 28(5-7), 158-62.

Since e-learning totally depends on Internet, the transmission of mark sheet to the students from the administrator should be done very securely; otherwise, if the hackers reach the documents, then it may be very harmful for the students as well as for the corresponding e-learning institution also. By using, digital certificate the administrator can send the mark sheet securely to the students and also it helps in non -repudiation, one of the security issues in e-learning. The implementation of the object orientation model helps others in better understanding of the system. The other goals of object oriented implementations like code re-usability, data redundancy etc. can be madeby object oriented models. Here we will analysis the values of the metrics for two basic models of object oriented metrics: Chidamber and Kemerer metric (CK metric) and Metric for Object Oriented design metric (MOOD metric) based on the class hierarchy diagram of digital certificate transmitting from the administrator to students.

7 illus, 5 tables, 12 ref

015456   Sulochana S;Vidhya R;Mohanraj K; Viujayasekaran D (Institute of Remote Sensing (IRS), Anna Univ, Chennai, Email: ssulochana45@gmail.com) : Effect of wavelet based image fusion techniques with principal component analysis (PCA) and singular value decomjposition (SVD) in supervised classification. Indian J Geomar Sci 2017, 46(2), 338-48.

With more promotion in satellite image processing techniques and the accessibility of various resolution images, fusion is necessary to combine panchromatic and multispectral images for further applications. Recent researches show that wavelet based image fusion algorithms provide high spectral quality in the fused images, but less spatial information in fused images due to critical down sampling. To increase spatial and spectral resolution, we have implemented wavelet based image fusion algorithms along with singular value decomposition(SVD) and principal component analysis (PCA) and its influences on supervised classification. The quality of the fused images is evaluated by quantitative and qualitative measurements. Qualitative evaluation is confirmed by edge detection methods. Quantitative results proved in terms of with reference and no reference image quality metrics. Supervised classification is used to - 9 - check whether the spectral distortion caused by wavelet based fusion methods and the classification accuracy is measured by Kappa index (K). Results shows wavelet based image fusion combined with Eigen value methods such as SVD and PCA improves the classification accuracy as compared to actual multispectral images. Best classification results are achieved by framelet transform with SVD based fusion.

2 illus, 4 tables, 52 ref

015455   Claret S P A;Alex M G (Research & Development Centre, Bharathiar Univ, Coimbatore-641 046, Email: spangelin@rediffmail.com) : Estimation of power distribution in substation components using object oriented analysis and design. J scient ind Res 2017, 76(4), 239-43.

An object oriented model for the estimation of power that is distributed to the substation components is analysed and designed. The substation component comprises agriculture, industrial and residential regions. The important contribution of this paper is to evaluate the distribution of power in specified time slot of six hours and calculate the average power distributed to the substation components. The object oriented analysis (OOA) is examined in the first level and object oriented design (OOD) in the next level. The object oriented principles encapsulation, polymorphism and inheritance is effectively carried out for the power distribution system. The distribution results are shown by the mat lab and starUML softwares. The unified modelling language (UML) is used to show the structural form of power distribution system and its components in a simplified form.

3 illus, 3 tables, 12 ref

014492   Rohatgi D;Rao K V S P (Scientific & Industrial Research Dep, M/o Science & Technology, Government of India, New Delhi-110 016, Email: deepika.roh@nic.in) : Contribution of various government policies and schemes in facilitating and fostering an inclusive, innovative, technology enabled stable industrial growth with enhanced r&D investments. Proc Indian Natn Sci Acad 2017, 83(1), 9-31.

Science & Technology (S&T) with frugal innovation is the key to economic stability and prosperity of the country as it can provide the path to sustainable growth and help build a technologically driven economy capable of providing social welfare even to the bottom most layer of the society. R&D is an integral part of technological advancement and the Government of India has made concerted efforts to build upon S&T and industrial capabilities in the country. This compilation is an attempt to examine the national strategy adopted by the government and the - 3 - various policies working in interaction to leverage the industrial sector, S&T and technological innovation in the country. The framework of the document also presents before the readers a brief glimpse of the measures adopted by the government at policy, structural and regulatory levels to drive innovation and create an enabling environment for the private sector in the industry to enhance investments in R&D, innovations and intellectual property. The study also reflects the trends in R&D investments by the government and the industry in India with comparisons to their global counterparts and the obstacles faced by the industry in enhancing R&D expenditure.

1 illus, 1 table, 42 ref

014491   Rasjid Z E;Santoso D (NO, Univ Bina Nusantara, JI.K.H.Syahdan No.9 Kemanggisan, Palmerah Jakarta-11480, Indonesia) : Design model to create a simple computer language. Far East J mathl Sci 2016, 99(8), 1195-1213.

With the use of formal language theory in an initial stage and the decomposition of a sentence in the background, we discuss compiler constructions techniques. The purpose of the paper is two-fold. First, to facilitate and deepen the knowledge of basic principles of compiler along with understanding the correct usage of a programming language. Second, to provide mastery over this theme based on the instructions in a simple and easy language with Indonesia syntax.

1 table, 8 ref

014490   Pranav Kumar;Singh A (Veterinary & Animal Husbandry Extension Education Div, Faculty of Vet, Sher-E-Kashmir Univ of Agricultural Sciences & Technology of Jammu, R.S. Pura, Jammu, Jammu & Kashmir, Email: pranavahe@gmail.com) : Use of moile phone and its apps in extension services. J Agric Ext Mgmt 2017, 18(1), 37-51.

Information and Communication Technology (ICT) and its application have shown great prospects in remodeling extension services in both developed and developing countries. The present era is an era of science and technology and those related to these fields are showing a tremendous increase in their value and functionality. Linking extension services to emerging technologies should be focused upon for better results and efficient services, due to the fact that a majority of the people are now connected to one another through mobile phones. These devices and their apps can be used for better linkages and to provide farmers with latest information instead of creating new devices for extension activities.

1 table, 34 ref

014489   Gupta T;Yadav S;Chakraborty P (Computer Engineering Dep, Netaji Subhas Institute of Technology, New Delhi-110 078, Email: pinaki_chakraborty_163@yahoo.com) : Compiler bootstapping and cross-compilation. Curr Sci 2017, 112(5), 906-7.

2 illus, 2 ref

014488   Banshal S K;Singh V K;Basu A;Muhuri P K (Computer Science Dep, South Asian Univ, New Delhi-110 021, Email: vivekks12@gmail.com) : Research performance of Indian Institutes of Technology. Curr Sci 2017, 112(5), 923-32.

This article presents a computational analysis of the research performance of 16 relatively older Indian Institutes of Technology (IITs) in India. The research publication data indexed in Web of Science for all the 16 IITs is used for the analysis. The data is computationally analysed to identify productivity, productivity per capita, rate of growth of research output, authorship and collaboration pattern, citation impact and discipline-wise research strengths of the different IITs. The research performances of the IITs have been compared with those of two top ranking engineering and technology institutions of the world - 2 - (MIT-USA and NTU-Singapore) and most cited papers from these IITs have also been identified. The analytical results are expected to provide a informative, up-to-date and useful account of research performance assessment of the IITs.

3 illus, 8 table, 22 ref

013402   Talib R;Saeed M Y;Awais M;Hanif K (Computer Science Dep, Govt College University Faisalabad, Illama Iqbal Road, Faisalabad 38000, Pakistan, Email: m_yahya_saeed@yahoo.com) : Interactive systems regarding global software development and offshoring. Curr Sci 2017, 112(10), 2134-8.

Modern information technology (IT) methods are reshaping the global market with great success. With today's global software industry. IT has made innovations everywhere, including businesses and consumer practices. This has made developing countries like India and China participate in the global market. This communication focuses on intelligent interacting systems which are present over globe and these are a source of rising the software development cycle with the help of modern communication facilities. Free e-Market globalization is now vital for billions of people. However, IT leadership is not possible without a review of the existing system. The present study is based over the issue of the global market related research, education and investment in IT technology. IT-based-leadership can give sustainable global competitive advantage to our country. So the role of iterative software development is crucial to be targeted in a - 1 - systematic fashion.

12 illus, 18 ref

013401   Singh M M;Mandal J K (Computer Science & Engineering Dep, North Earstern Regional Institute of Science & Technology, Nirjuli-791 109, Email: marjitm@gmail.com) : Reliability of MANET under the influence of black hole attack in Adhoc on demand distance vector routing protocol. J scient ind Res 2017, 76(7), 423-6.

Enormous usage of Mobile Ad hoc Network (MANET) on regular basis in communication has generated keen interests towards research on reliability and security characteristics of MANET in recent times. Tremendous amount of research work on security in MANET are accessible in the literature currently. However, minimal amount of research on reliability analysis of MANET under security attack is available in the literature. The reliability analysis of MANET under black hole attack running Ad hoc on demand distance vector (AODV) routing protocol is accorded in this paper. The influence of black hole attack on the reliability of MANET is analyzed using ns-2.35 simulation software. It is revealed from the simulation results that the reliability of MANET under single black hole attack is higher than the reliability of MANET under multiple black hole attack in AODV routing protocol.

1 illus, 2 tables, 11 ref

013400   Dhanalakshmi P;Dominic P D D;Muruganantham G;Parthiban P (Computer Science and Engineering Dep, National Institute of Technology Nagaland, Dimapur, Nagaland, Email: r_dhanalakshmi@yahoo.com) : ANT mobility model in wireless networks using network simulator. J scient ind Res 2017, 76(7), 419-22.

Wireless networks are the topic of growing interest due to their ability to control the physical environment even from remote locations. Intelligent routing, bandwidth allocation and power control techniques are critical for these networks. Also, finding a best path between the communication end points is a challenge in these networks. In this paper we propose Ant Mobility Mode (AMM), an on-demand, multi-path routing algorithm that exercises power control and coordinates the nodes to communicate with one another, in wireless networks. The main goal of this protocol is to reduce the overhead, congestion, and stagnation, while increasing the throughput of the network. AAM proves to be a promising option for the mobility pattern wireless networks like MANETs.

3 illus, 12 ref

012406   Tiwari M K;Lamba S (Computer Science Dep, National Pl.G. College, Lucknow, Uttar Pradesh) : Mutation testing Vs. regression testing. Int J latest Technol Engng Mgmt appl Sci 2017, 6(4), 91-4.

Testing is the process of finding as many errors as possible before software is delivered to customer. Since, there are various testing techniques available to establish quality, performance and reliability of software but Mutation Testing and Regression Testing is focused in this paper. Mutation testing involves manipulating program slightly and testing it with intention to find effectiveness of test suite selected. Regression testing - 6 - intends to find bugs in software, if software is modified after delivery either due to result of fixes or due to new or enhanced functionality. The use of regression testing is to check that enhancements have not affected previous functionality as well as working correctly.

1 illus, 4 ref

012405   Shetty N;Salian D;Jahnavi S;Jyothi N (NO, Srinivas School of Engineering, Mukka, Mangaluru, Karnataka) : Mitigating various attacks in movile Ad-hoc networks using trust based approach. Int J latest Technol Engng Mgmt appl Sci 2017, 6(3), 64-70.

A Mobile ad hoc network (MANET) is self-organizing, decentralized and infrastructure-less wireless network. The successful transmission of the data packet depends on the complete cooperation of each node in the network. These types of network don't have permanent base station, so each node in the network acts as a router. Due to openness, decentralized, self-organizing nature of MANET, it is vulnerable to various attacks. So security is the main concern in MANET. In this project, we have considered 2 attacks; Vampire attack and DDoS attacks. Vampire attack drains the energy of the nodes. DDoS attack exhausts the resources available to a network, such that the node cannot provide any services. Here, we discuss methods 2 methods as a solution to our problem; one is to prevent the attack from happening and other to detect and recover from the attacks.

10 illus, 1 table, 15 ref

012404   Sharma A;Deora M S (NO, Paher Univ, Udaipur, Rajasthan) : Adaptive cluster head election algorithm for heterogeneous mobile Ad-hoc network. Int J latest Technol Engng Mgmt appl Sci 2017, 6(2), 57-62.

Mobile ad-hoc network characterized as a homogenous and heterogeneous on the basis of node capabilities. Heterogeneity property may make issues for mobile ad-hoc network in context of coverage area, link stability, lifetime etc. To resolve these issues, require a mechanism to adapt different characteristics and make decision for smooth functioning. Heterogeneity also leads effective routing problem that occurs instability in route or path. Though to make effective routing in this situation, efficient clustering algorithm may be apply. In this paper, the effects of heterogeneity property are studied and analyzed. A cluster head algorithm is also suggested to deal with the effects of the property. Suggested algorithm is simulated in network simulation and performance is evaluated in context of computation cost, lifetime and number of clusters.

8 illus, 2 tables, 17 ref

012403   Sarkar D;Jadhav S B (Civil Engineering Dep, School of Technology, Pandit Deendayal Petroleum Univ, Gandhinagar-382 007, Email: debasis.sarkar@sot.pdpu.ac.in) : cloud based project management information systems (PMIS) for construction projects. Int J civ struct Engng 2016, 6(3), 233-44.

Cloud computing refers to use of virtual servers where users access stored data through an internet connection. It has become an innovative model for delivering IT infrastructure, applications and data management. It shifts the emphasis from static, stand-alone applications to dynamic, shared environments, dynamically allocated among various tasks and accessed via a network. In construction projects, construction managers spend a significant portion of their - 5 - time gathering project data, assessing production rates, communicating with project participants and tracking project quality. Executing those tasks manually reduces efficiency and can result in less effective project management operations. In order to improve efficiency of information process flow, various types of Project Management Information Systems (PMIS) have been introduced to construction projects. This paper is an attempt to structure the data base through cloud computing and also to develop a Project Management Information System (PMIS) through cloud computing for a power plant project.

1 table, 10 ref

012402   Priya R;Chitradevi T;Vishnupriya S;Swathika R (Computer Science Dep, Sri Manakula Vinayagar Engineering College, Puducherry) : VCN: vehicular cloud network using RBMR protocol for effieicnt link stability to improve the throughput. Int J latest Technol Engng Mgmt appl Sci 2017, 6(2), 67-71.

VCN is Vehicular Cloud Network which is the combination of VANET and cloud. Vehicular ad hoc networks (VANETs) technology has been used in many of the applications such as avoiding traffic jam on roadways and airways, preventing the vehicles from accidents and so on. It serve as one of the best platform to meet with group-oriented services which comes under one of the primary application classes. Multicast routing is used to support such services. In such cases one must have to ensure better packet delivery ratio, lower delays and reduced control overheads. Thus, there is a need to design stable and reliable multicast routing protocols for VANETs. In this paper, we proposed a Receiver Based Multicast Routing Protocol that finds a best way to perform the multicast traffic. RBMulticast stores destination list inside the packet header, this destination list provides information on all multicast members to which this packet is targeted. And it stores the traced information or data in the cloud for given period of time. Thus, the multicast tree is not required for this process and therefore no tree state stored at the intermediate nodes.

10 ref

012401   Nair R B (NO, , ) : Adripathi cipher. Int J latest Technol Engng Mgmt appl Sci 2017, 6(2), 28.

The proposed algorithm deals with the determination of enciphered data using the concepts of substitution as one of the key ingredients. Secret key is generated which hides the plain text from the knowledge of adversaries. The key is kept secret. Each plain text alphabet has its own key to create the corresponding cipher text. The algorithm is based on symmetric key cryptographic system where the same key is used for both encryption and decryption. Underlying statistics of cipher text is hidden since same alphabet is not enciphered by the same key. The cryptanalysis is hard.

2 ref

012400   Kumar N S (ISE Dep, GSSSIETW, Mysuru, Karnataka) : Vampire attack: a novel method for detecting vampire attack in wireless Ad -hoc sensor networks. Int J latest Technol Engng Mgmt appl Sci 2017, 6(4), 95-8.

Ad-hoc wireless networks are dynamic in nature. Ad-hoc networks are not depends on any predefined infrastructure. Whenever there is need of communication at that point these network can be deployed. In this paper we discuss Vampire attacks. All protocols susceptible for vampire attack. Vampire attacks are very easy to carry out throughout the network and difficult to detect. Wireless sensor networks (WSNs) are the foremost promising research direction in sensing and pervasive computing. Previous security work has focused totally on - 4 - denial of service at the routing or medium access management levels. Earlier, the resource depletion attacks are thought about solely as a routing drawback, very recently these are classified into new category as "vampire attacks". Planned work examines the resource depletion attacks at the routing protocol layer that disable networks permanently by quickly debilitating node's battery power.

3 illus, 14 ref

012399   Khedkar S V;Ingole N W (NO, Chemical Engineering College of Engineering and Technology, NH-6, Murtizapur Road, Babhulgaon (Jh) Akola-444 104) : Applications of computer science in environmental models. Int J latest Technol Engng Mgmt appl Sci 2017, 6(3), 94-8.

Computation is now regarded as an equal and indispensable partner, along with theory and experiment, in the advance of scientific knowledge and engineering practice. Numerical simulation enables the study of complex systems and natural phenomena that would be too expensive or dangerous, or even impossible, to study by direct experimentation. The quest for ever higher levels of detail and realism in such simulations requires enormous computational capacity, and has provided the impetus for dramatic breakthroughs in computer algorithms and architectures. Due to these advances, computational scientists and engineers can now solve large-scale problems that were once thought intractable. Computational science and engineering (CSE) is a rapidly growing multidisciplinary area with connections to the sciences, engineering, and mathematics and computer science. CSE focuses on the development of problem-solving methodologies and robust tools for the solution of scientific and engineering problems. We believe that CSE will play an important if not dominating role for the future of the scientific discovery process and engineering design. The computation science is now being used widely for environmental engineering calculations. The behavior of environmental engineering systems and processes can be studied with the help of computation science and understanding as well as better solutions to environmental engineering problems can be obtained.

1 illus, 2 tables, 18 ref

012398   Kavitha E;Anitha G J B (ECE Dep, Sri Krishna Institute of Technology, Bangalore) : Various techniques of reversible data hiding. Int J latest Technol Engng Mgmt appl Sci 2017, 6(4), 81-4.

Secured transmission of data is an important concern now a days. A number of techniques are available for hiding and transmitting the data through the images. It may be a simple or a complex technique. In the receiver part if the host image is recovered without any loss it is said to be reversible data hiding. In this paper it is proposed to compare the reversible and lossless data hiding techniques where both the host image and the hidden data can be recovered without any loss. There are many techniques that is presented as block based, pixel based and interpolation based techniques. In the past data was embedded in encrypted images with irreversible data hiding and now it is reversible. The PSNR and the data hiding capacity que for these methods are compared in this paper.

14 ref

012397   Kalamani P;Meghana B V;Krishnan D R;Theresa M;Sengupta M (Computer Science and Engineering Dep, Sri Sairam College of Engineering, Bengaluru, Karnataka) : Futuristic approach for towerless mobile networks-WHEEZY PI. Int J latest Technol Engng Mgmt appl Sci 2017, 6(4), 154-6.

It is an attempt to develop the mobile networks to have a wireless voice call happening without the help of the towers. Our main aim is to remove the towers in the communication process. The towers have been hazardous to Living Organism. This project mainly consists of Raspberry pi and Wi-Fi router. We used two raspberry pi kits of version 3 with Wi-Fi inbuilt on it which can access till the distance of 30 meters,which is used to develop a voice call application to transfer the voice through the Wi-Fi communication. It would be possible to expand this communication by the use of WIMAX which would be able to communicate in the range of kilometers. For live transmission of audio and video, we have used VOIP (voice over internet protocol) with the help of gstreamer and gst-launch libraries, IEEE standard 802.11 for wireless network, LCD screen for GUI interface, programmed in Python language as it is recommended by Raspberry pi foundation and is freely available for LINUX, Windows operating system. A hardware implementation is developed and the results were analyzed for performance.

11 ref

012396   Ganga S;Binu Chandran R (Computer Science Dep, Mohandas College of Engineering & Technology, Anad, Thivanamthuparam) : Improved AODV based on energy strength and dropping ratio. Int J latest Technol Engng Mgmt appl Sci 2017, 6(4), 104-7.

Wireless Sensor Networks are the latest trends in the market due to the demand for communication and networking among the wireless network devices. The routing protocols are used in the Wireless Sensor Networks for efficient communication of data between sensor nodes. The designs of routing protocols in Wireless Sensor Networks are very concern because they are influenced by many challenging factors. To design the networks, the factors needed to be considered are the coverage area, mobility, energy power consumption, communication capabilities etc.. Broadcasting is an inevitable operation in the route discovery phase of AODV protocol. A probability based AODV is proposed, it uses nodes remaining energy and threshold random delay to generate the rebroadcasting of route request packet. The route request packet of AODV is modified to gather nodes remaining energy strength. The performance of probability based AODV is compared with AODV over packet delivery fraction, normalized routing overhead, delay and average acquisition latency. NS-2 based simulator is used to evaluate the performance of routing protocol.

4 illus, 1 table, 12 ref

012395   Chakor L;Musne L;Kumbhar P;Shedole S M (Computer Engineering Dep, SIT'S, Lonavala-410 401) : Predicting electricity consumption using hidden parameters. Int J latest Technol Engng Mgmt appl Sci 2017, 6(4), 170-4.

Data mining technique to forecast power demand of a biological region based on the metrological conditions. The value forecast analytical data mining technique is implement with the Hidden Marko Model. The morals - 2 - of the factor such as heat, clamminess and municipal celebration on which influence operation depends and the everyday utilization morals compose the data. Data mining operation are perform on this chronological data to form a forecast model which is able of predict every day utilization provide the meteorological parameter. The steps of information detection of data process are implemented. The data is preprocessed and fed to HMM for guidance it. The educated HMM network is used to predict the electricity demand for the given meteorological conditions.

3 illus, 4 ref

012394   Arora K;Kumar A (NO, Sant Longowal Institute of Engineering and Technology, Longowal, Punjab) : Content based image retrieval methods. Int J latest Technol Engng Mgmt appl Sci 2017, 6(4), 77-80.

Content-based image retrieval (CBIR) is a method of finding images from a huge image database according to persons' interests. Content-based here means that the search involves analysis the actual content present in the image. As database of images is growing daybyday, researchers/scholars are searching for better techniques for retrieval of images maintaining good efficiency. This paper presents the visual features and various ways for image retrieval from the huge image database.

1 illus, 12 ref

012393   Amit;Duhan N;Tomar P (Computer Engg Dep, YMCA Univ of Scienc and Technolgy, Faridabad) : Journey of frequent itemset mining techniques. Int J appl Sci Engng Res 2016, 5(4), 284-93.

Information technology has become integral part of every other area of work. People have become smart and connected to the world all the time. Industries are using databases to store their data. So a huge amount of data is produced every second. This data can be very useful to companies to make business related decisions and to enhance their business by making customer luring policies. So, there is need of techniques, which can extract useful information from such huge amount of data and present that information to the user in an efficient and understandable format. A need of such information was first felt in 1993 when Agarwal studied the supermarket transactions dataset i.e. to examine customer behavior in terms of purchased products. After that many researchers have worked in the area of frequent item set mining and hundreds of algorithms have been proposed. There are basically two types of algorithms, Apriori based and FP-tree based. So there are a lot of techniques in the literature, some of which are reviewed in this paper in detail. Techniques are, Apriori, Partioning approach, Bit-Table approach, Interval Intersection algorithm, Vertical map-reduce and Parallel fast update. A comparison study of these approaches is also presented with their respective advantages and disadvantages.

4 illus, 3 table, 15 ref

011403   Yang J P;Chen Y C (Information Technology and Communication Dep, Shih Chien Univ, Kaohiung City, Taiwan, Email: juipinyang@gmail.com) : Novel information lifecycle management scheme for a web-based database system. J scient ind Res 2017, 76(2), 85-9.

In this paper, we provide details regarding the design, analysis and experiments of a new information lifecycle management scheme for a web-based database system referred to as Adaptive Information Lifecycle Management (AILM). AILM is a novel scheme because it simultaneously considers variations in time and data usage. In addition, AILM consists of four main components: data collection, information valuation, information classification, and growth prediction. In this paper, 2255 teaching cases over eight years are managed using the AILM scheme from the life.edu.tw web site. Using AILM, the growth in storage capacity increases by almost 6<126>7% per year, and the number of teaching cases is projected to increase by almost 160 per year in the next five years. To enhance the performance of the web-based database system, we further classify the data into three groups, namely, Class_1, Class_2 and Class_3. The experiments demonstrate that Class_1 includes approximately 50% of the teaching cases but only uses approximately 40% of the storage capacity. In addition, the hit rate has increased to 75%. Moreover, we can delete the teaching cases with a 2.5% hit rate in Class_3, which contributes to saving approximately 10% of the storage capacity. In other words, the AILM scheme is useful because it not only expedites search time but also improves storage utilization in a web-based database system.

3 illus, 2 tables, 8 ref

011402   Singh M M;Mandal J K (Computer Science & Engineering Dep, NERIST, Nirjuli, Arunachal Pradesh, Email: marjitm@gmail.com) : Logistic regression based reliability analysis for mobile Ad Hoc network with fixed maximum speed and varying pause times. J scient ind Res 2017, 76(2), 81-4.

Mobile Ad-hoc Network (MANET) has become the most important and useful means of communication today. Some research on reliability analysis of MANET is reported in the literature. Logistic regression based reliability analysis of MANET is presented in the paper considering fixed maximum speed and varying pause times of mobile nodes. The reliability of MANETs running DSDV, DSR and AODV routing protocols are computed and analyzed using ns-2.35 simulation software. The simulation result shows that the reliability of MANET using DSR protocol is higher than MANETs using AODV and DSDV routing protocols in all scenarios. However, the reliability of MANETs using AODV protocol is higher than that of MANETs using DSR and DSDV routing protocol as the number of nodes deployed in the MANET increases beyond 140.

1 illus, 2 tables, 13 ref

010377   Karthikeyan T;Thirumoorthi C (Computer Science Dep, PSG College of Arts & Science, Coimbatore, Email: cthirumoorthymca@gmail.com) : Novel approach on discrete cosion transform based image compression technique for lung cancer. Biosci Biotechnol Res Asia 2016, 13(3), 1679-88.

In medical field the volume of medical image data produced every day is ever growing, particularly in grouping with the improved scanning resolutions and the importance of volumetric medical image data sets. In this work, five image compression methods are simulated. They are Karhunen-LoŠve Transform (KLT), Walsh-Hadamard Transform (WHT), Fast Fourier Transform (FFT), proposed Sparse Fast Fourier Transform (SFFT) and Discrete Cosine Transform (DCT). The results of simulation are shown and compared different quality parameters of it are by applying on various lung cancer CT Scan medical images. The DCT method algorithm was given better results like Compression Ratio (CR), Structural Content (SC), Mean Square Error (MSE) and Peak Signal to Noise Ratio (PSNR) compare to other Transform methods. The DCT technique given improved result compared with other methods in all evaluation measures.

7 illus, 1 table, 49 ref

009289   Viswanatham V M (School of Computing Science and Engineering, VIT Univ, Vellore-632 014, Email: vmadhuviswanatham@vit.ac.in) : Cloud computing: goals, issues, SOA, integrated technologies and future-scope. Ambient Sci 2016, 3(2), 4-11.

The expansion of networking infrastructure has provided a novel way to store and access resources in a reliable, convenient and affordable means of technology called the Cloud. The cloud has become so popular and established its dominance in many recent world innovations and has highly influenced the trend of the Business process Management with the advantage of shared resources. The ability to remain disaster tolerant, on-demand scalability, flexible deployment and cost effectiveness has made the future world technologies like Internet of Things, to determine the cloud as their data and processing center. However, along with the implementation of cloud based technologies, we must also address the issues involved in its realization. This paper is a review on the advancements, scopes and issues involved in realizing a secured cloud powered environments.

5 illus, 5 tables, 31 ref

009288   Devi Priya R;Sivaraj R (Information Technology Dep, Kongu Engineering College, Erode-638 052) : Dynamic genetic algorithm-based feature selection and incomplete value imputation for Microarray classification. Curr Sci 2017, 112(1), 126-31.

Large microarray datasets usually contain many features with missing vallues. Inferences made from such incomplete datasets may be biased. To address this issue, we propose a novel preprocessing method called dynamic genetic algorithm-based feature selection with missing value imputation. The significant features are first identified using dynamic genetic algorithm-based feature selection and then the missing values are imputed using dynamic Bayesian genetic algorithm. The resulting complete microarray data-sets with reduced features are used for classification, which results in better accuracy than the existing methods in eight microarray datasets.

5 illus, 3 table, 19 ref

008269   Shen Y C;Lin G T R;Lin J R;Wang C H (BioBusiness Management Dep, National Chiayi Univ, 580, Sinmin Road, Chiayi 600, Taiwan, Email: gtrl@faculty.nctu.edu.tw) : Cross-database comparison to discover potential product opportunities using text mining and cosine similarity. J scient ind Res 2017, 76(1), 11-16.

With the rise of the Internet in recent decades, commentary, news, and further information on new products are present on various web sites. Thus, the Internet has become an abundant source of market intelligence. In addition, technological applications are presented in patent databases and disseminated to popular media, based on the perspective of technology life cycle. Therefore, the interaction between technological applications coded by patents and market intelligence reported by the Internet assists in discovering potential product opportunities. This study intends to identify the areas where technological applications exist, excluding Internet reports, by exploring the corresponding relationships between patents and media reports. Such areas could be identified as potential product opportunities. Text-mining and the arbitrarily oriented projected cluster generation (ORCLUS) algorithm is employed to classify important fields of patents and media reports. The cosine similarity of tfidf is then used to detect the relationship between patents and media reports. The remote health monitoring technology is applied as a case in this study. The results show four product opportunities, namely: wireless sensor devices, telecommunication systems and technology, wearable devices and systems, and medical services and systems.

2 illus, 4 tables, 14 ref

008268   Selvi M S;Deepa K;Sangari M S;Mohankumar B (IT Dep, Sri Ramakrishna Engineering College, Coimbatore, Email: senthamilselvi@srec.ac.in) : Improved structured robustness (I-SR): a novel approach to predict hard keyword queries. J scient ind Res 2017, 76(1), 38-43.

Keyword queries on databases provide easy access to data, but often suffer from low ranking quality, i.e., low precision and/or recall, as shown in recent benchmarks. It would be useful to identify queries that are likely to have low ranking quality to improve the user satisfaction. For instance, the system may suggest to the user alternative queries for such hard queries. In the existing work, analyzes the characteristics of hard queries and propose a novel framework to measure the degree of difficulty for a keyword query over a database, considering both the structure and the content of the database and the query results. However, in this system numbers of issues are there to address. One of the main issues present in the existing work is that, at the time keyword prediction only user submitted keyword will be used for the prediction of the results. The existing work won't concentrate about the semantic meaning present among the key words that are submitted by the users, which will lead to inaccurate result retrieval. To overcome this problem in the proposed work, the semantic based key word prediction is proposed by using ontology-based representation in which the semantic meaning of the keywords will be analyzed by using the Word Net tool. This will lead to an accurate to k retrieval of document due to consideration of the semantic meaning of the documents in search engine.

3 illus, 14 ref

008267   Dhanalakshmi R;Vadivel A;Parthiban P (Computer Science and Engineering Dep, National Institute of Technology Nagaland, Dimapur-797 103, Email: r_dhanalakshmi@yahoo.com) : Shortest path routing in solar powered WSNs using soft computing techniques. J scient ind Res 2017, 76(1), 23-7.

The main objective of this paper is to develop a three phase genetic algorithm to find the shortest path routing in solar poweredWireless Sensor Networks (WSNs), and thereby reducing the energy loss and the time consumed in the communication between various nodes (sensors) of the same. A three phase hybrid genetic algorithm is proposed for solving the shortest Path (SP) routing problem. The performance of the proposed algorithm is compared with Dijkstra, Munemoto, and Ahn algorithms. Here we have classified the wireless sensors as clusters which uses k-means clustering algorithm and within each cluster the shortest path routing for communication is found out using proposed three phase genetic algorithms.

3 illus, 1 table, 13 ref

007266   Zhang Y (School of Software and Communication Engineering, Jiangxi Univ of Finance and Economics, Nanchang, P.R. China) : Image encryption algorithm with plaintext-related shuffling. IETE Tech Rev 2016, 33(3), 310-22.

This paper proposed a plaintext-related image encryption system, which employed the hyper-chaotic system to generate the secret code streams used for encryption. The encryption algorithm includes two plaintext-unrelated diffusion operations and one plaintext-related shuffling. Due to the use of plaintext-related shuffling, the proposed encryption system can resist the chosen/known plaintext attacks. Simulation results show that the proposed system has many good characters, such as fast encryption speed, large key space, high key sensitivity, effectively resisting differential attack, noise-like cipher-text image, etc., and thus can be used in actual communications.

5 illus, 6 tables, 30 ref

007265   Zhang X (Institute of Graphic and Image Processing, Xianyang Normal Univ, Xianyang 712000, China, Email: zhangxiaobo419@126.com) : Image denoising using dual-tree complex wavelet transform and wiener filter with modified thresholding. J scient ind Res 2016, 75(11), 687-90.

This paper presents a new image denoising algorithm based on local variance estimation. In the process of denoising, the Wiener filter is used to remove the noise component of the dual-tree complex wavelet transform (DT-CWT) coefficients. The variances of noise-free coefficients are estimated by the DT-CWT coefficients transformed by modified thresholding. The tests show that the proposed method has better performance compared to the related algorithms.

3 illus, 2 tables, 9 ref