IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
Investigation of Key Parameters Affecting Current Consumption in CMOS Based Design and Processor Power Consumption Saving Features for Portable Two-Way Radio System Design
ADRIAN LIM HOOI JIN, ARJUNA BIN MARZUKI, BEE EE KHOO
Abstract: In the latest portable two-way radio design, processors have been widely used as the main ‘heart’ to control the whole operations of the radio during idle, receiving (Rx) and transmit (Tx) modes instead of Applications Specific Integrated Circuits (ASIC). By integrating processor into the design, various powerful applications could be offered to the customers but at the cost of additional power consumptions even if the radio is at idle mode. Ultimately, processors are well known to be more power hungry compared to ASIC. This will post even greater challenge for the radio designers to meet the battery life specification, in which is an essential & critical customer requirement for communications during critical public safety or rescue missions. This paper attempts to investigate the fundamental significant factors that determine the power consumptions of the CMOS based processor. HSPICE current consumption simulations with various combinations of voltage, frequency, load capacitance and temperature values are performed on a modeled CMOS buffer circuit, the simplest logic circuit available in a processor design. Design of Experiments (DOE) method was used to analyze the measured current consumptions at various combinations, determine the significant factors related to current consumptions of CMOS buffer circuit and derive the current consumption transfer function for the buffer circuit. Current consumptions saving of up to 88.30 % was found out to be feasible in CMOS based design by addressing the key significant factors identified in the earlier DOE analysis. Once all the significant factors affecting the current consumption of CMOS based design are known, various related power saving features that are offered by the processors in the market will be discussed for adoption into portable two way radio design.
Comparison of Extracting Content with Minimization of Lexeme in a Text Corpus by Using Different Dimension Reduction Techniques
MS. I.KIRUBARAJI, MS. R.JOTHILAKSHMI
Abstract: Document retrieval is a member of information retrieval in which information are extracted or gaining appropriate knowledge from unstructured text.i.e Unstructured text is in the form of NLP,HTML, AML format. Each document symbolized in the form of term vector model. Term vector model represented by an identifiers of objects as index terms. A single document contains more than ten thousand index terms, Seeking information from this archive is not easy. Dimension of tem vector models are high, So pertaining information from this large space is painful. Scaling of data is rigid. For the sake of effective information retrieval dimension of each document feature should be reduced. This is achieved by different dimension reduction techniques. This paper focuses on populous dimension reduction techniques such as LLE, t- SNE, Isomap and LDA and its advantages and disadvantages.
Reputation Management in Distributed Community Clouds
ANUPRIYA KONERU, DR K.VENUGOPAL RAO
Abstract: Two or more community clouds are going to form as a group called network to provide services to satisfy the organizational needs. It works in the distributed environment. While communicating a cloud with other cloud in the group, it has to be sure that the other cloud is a good cloud; otherwise it won’t perform any transaction with that cloud. To know that in this paper we are going to present a protocol which provides the reputation of the cloud and a root certification for identity management. By omitting such bad transactions we can reduce number of malicious activities in the cloud computing.
Keywords: cloud computing, community clouds, reputation, distributed systems security, root certification.
Genetic Algorithm for Self Occlusion Gait Recognition
R.FEMILA GOLDY R.PRECILA MARY
Abstract: Human identification has recently gained growing interest from computer vision researchers. Gait recognition domain has a wide range of applications in medicine (biomechanics), mathematics, psychology, rehabilitation and sports activity. It has the unique capability to recognize people at a distance when other biometrics is obscured. This paper aims to handle high levels of occlusion, which is of special importance in gait as the human body is self-occluding. Initially, the silhouettes segmented from video sequences are noisy and need further processing. Mathematical morphological operations are employed for holes remedy and noise elimination. To deal with the incomplete gait image, a new gait pattern representation method named frame difference energy image (FDEI) is used. After the foregoing preprocessing steps, then extract the self occluded feature from the silhouette image sequences. Then, warped template is updated by eliminating self-occluded part. Finally, the genetic algorithm is proposed for recognition of human walking.
Implementation of Decision Tree Algorithm to Analysis the Performance
Pooja Sharma, Asst. Prof. Rupali Bhartiya
Abstract: Data Mining is a very interesting area to mine the data for knowledge. Several techniques are available which makes data mining remarkable. Web mining is also a part of that kind of data mining techniques. Web mining includes data preprocessing, pattern discovery and pattern analysis phase to process the log data. Demand of analyzing and extracting knowledge from different domain databases increases. Classification is a technique to predict the best classifier. In model build methods classification algorithm plays an important role. In this paper we are implementing a proposed decision tree algorithm and existing C4.5 algorithm for comparative study and to analysis the performance.
Keywords: Data mining, Web usage mining, Decision tree algorithm, C4.5 and Cross validation.
Abstract: In this paper Association rule mining algorithms are discussed and compared on certain criteria. This paper also considers the use of Association rule mining in Use of decide of which products to recommend to customers. For demonstration a comprehensive experimental study against 2 Data sets of UCI are taken to evaluate the accuracy of ARM algorithms.
Monika Jain, Aditi, Ashwani Lohiya, Mohammad Fahad Khan, Abhishek Maurya
Abstract: Today human-machine interaction is moving away from mouse and pen and is becoming pervasive and much more compatible with the physical world. With each passing day the gap between machines and humans is being reduced with the introduction of new technologies to ease the standard of living. Gestures have played a vital role in diminishing this abyss. In this paper, a rigorous analysis of different techniques of “Human-Machine Interaction” using gestures has been presented. Gestures can be captured with the help of an accelerometer, however, with the evolution of smartphone its independent usage has been rendered useless. This paper analyzes the motion technology to capture gestures through an android smartphone with an inbuilt accelerometer and a Bluetooth module to control the kinetics of a robot.
Abstract: This paper contributes an idea about the distinct biometrics modality for authentication. Most of the popular biometrics modalities are available in market. The most of the biometrics technology provides strongest proof of the physical presence of a person. Confidentiality and safety are one of the most important challenges in current biometrics. The efforts are focused to choose distinctive modality (FKP) for the secure storage and verification of the biometric template. This paper focuses the unique characteristics of the FKP modality and how it can be perfect for secrete and safety for authentication.
Dynamic Audit Services for Achieving Data Integrity in Clouds
AMALA. U
Abstract: Cloud computing is a forthcoming revolution in information technology (IT) industry because of its performance, accessibility i.e., cloud storage enables users to access their data anywhere and at any time, pay per use service. Cloud computing is a way to increase the capacity or add capabilities dynamically without investing in new infrastructures, training new personnel or licensing new software. Cloud enables users to remotely store their data and enjoy on-demand high quality cloud applications without the burden of local storage and maintenance. Eventhough, the benefits are higher while storing data in cloud there may be chances for security risks such as missing or corruption of data. To ensure the data integrity and availability of the data we are using the auditing scheme. Thus, enabling public auditability for cloud storage is of critical importance so that the users can resort to the third party auditor (TPA) to check the integrity of outsourced data and can be worry-free. For this in our proposed scheme we are using the provable data possession (PDP) which is the cryptographic technique for verifying the integrity of data without retrieving it at an untrusted server which achieve zero knowledge property and the communication cost is also reduced here.
Keywords: cloud computing, data integrity, cloud storage, provable data possession, audit service.
Area Efficient Design Of Fir Filter Using Symmetric Structure
KANU PRIYA, RAJESH MEHRA
Abstract: In this paper an area efficient method is presented to design and implement FIR filter. The proposed FIR filter has been implemented equiripple window using Transposed & Symmetric structure. The performance of two designs has been compared in terms of hardware requirements. The performance of both the designs is almost same but Symmetric structure has shown reduced hardware requirement as compared to Transposed structure. The proposed designs have been designed and simulated using Matlab 7.0.The Symmetric FIR filter has shown 55% reduction in multipliers as compared to Transposed structure for FIR filters. The Direct form transposed FIR filter produces the same output as the Direct form FIR but the cost varies in terms hardware requirements of Direct form Symmetric FIR. The difference is that it performs all the multiplications of a variable at the same time. The design time is also a key factor for low price products which is shown in implementation cost. The proposed FIR filter architecture is capable of operating for 16 bits word length filter coefficient. We show that dynamically reconfigurable filters can be efficiently implemented by using Direct form Symmetric FIR structure for equiripple FIR filter. Hence, an efficient design process aiming at high speed and great interest for minimizing total costs.
A User-Spread Interleave Division Multiple AccessSystem
P.NIROOPAN, YEON-HO CHUNG
Abstract: In this paper, we propose a User-Spread Interleave Division Multiple Access (US-IDMA) system that employs two way user separation using interleavers and spreading sequences to improve the performance of the system with more secure and reliable communications compared with the conventional IDMA system.These spreading sequences are not only as random as user data and independent of current symbols, but also dynamically changes from one symbol to another according to the user data.Therefore, this system offers enhanced security and privacy, due to the fact that the sequences make unwanted detection of the data by unintended receivers practically impossible.Also, simulation results show that the proposed system improves the bit error rate performance of the system in flat fading channel.
Keywords: IDMA, Interleaver, Multiple access, Spreading, User data
AAA Mechanism for Mobile Router in Network Mobility Environment
ISAC GNANARAJ. J, AROCKIAM. L
Abstract: Network mobility and host mobility are the two different mobility deployments in mobile networks. Network Mobility Basic Support (NEMO BS) protocol provides session continuity while the whole network changes its point of attachment. While there are many advantages which show the NEMO as a dominant deployment of the future, still few security issues retard the commercial deployment. Many researchers contributed several mechanisms and techniques to protect the communications in NEMO environment. Authentication, Authorization and Accounting (AAA) is a part of security and the entry level shield. NEMO lacks in providing robust AAA mechanisms. As it grows and receives plenty of new users every day, new security issues are raising. Here, a new AAA mechanism is proposed for Mobile Router (MR). When the MR moves into another network, before consuming services, it must be authenticated and authorized. The proposed AAA mechanism provides a better authentication procedure by considering the time and the capacity of the mobile devices for computing the security protocols.
Intrusion Detection System using Fuzzy Genetic Approach
B.BEN SUJITHA, R.ROJA RAMANI, PARAMESWARI
Abstract: Network security is of primary concerned now days for large organizations. The intrusion detection systems (IDS) are becoming indispensable for effective protection against attacks that are constantly changing in magnitude and complexity. With data integrity, confidentiality and availability, they must be reliable, easy to manage and with low maintenance cost. Various modifications are being applied to IDS regularly to detect new attacks and handle them. This paper proposes a fuzzy genetic algorithm (FGA) for intrusion detection. The FGA system is a fuzzy classifier, whose knowledge base is modeled as a fuzzy rule such as "if-then" and improved by a genetic algorithm. The method is tested on the benchmark KDD'99 intrusion dataset and compared with other existing techniques available in the literature. The results are encouraging and demonstrate the benefits of the proposed approach.
Keywords: genetic algorithm, fuzzy logic, classification, intrusion detection, DARPA data set
Error Detection and Correction Enhanced Decoding Of Difference Set Codes for Memory Application
S.BASKAR, M.SARAVANAN
Abstract: As technology scales, Multiple Cell Upsets (MCUs) become more common and affect a larger number of cells. In order to protect memories against MCUs as well as SEUs is to make use of advanced Error detecting and correcting codes that can correct more than one error per word. A sub-group of the low-density parity checks (LDPC) codes, which be- longs to the family of the Majority logic decoding has been recently proposed for memory application and Difference set codes are one example of these codes which contributes for error detection and correction.ML decodable Codes are suitable for memory applications due to their capability to correct a large number of errors. In this paper, the proposed scheme for fault-detection and correction method significantly makes area overhead minimal and to reduce the decoding time through DC codes than the existing technique and it gives promising option for memory applications. HDL implementation and synthesis results are included, showing that the proposed techniques can be efficiently implemented.
Abstract: Open source software during the last decade has got phenomenal success but still people are hesitant in picking up open source products. Various Studies shows that the adoption rate of open source software is very low especially in the countries like India. Reliability and quality of open source software may be the main concern for the most users. Users not only want high reliable software but often desire to check the quantitative estimation of the reliability of the open source product. Reliability metrics are units of measure for system reliability which are used to quantify the reliability of the software product. Various reliability metrics are exists which measures software reliability in various development phases like requirements, Design, coding and testing phases and helps project managers to assess the ongoing project. OSS development methodology is quite distinct and does not have formal document for Requirement, Design, Testing, and so on. Hence these metrics have to be studied on the open source software point of view. In OSS the end-user is also a part of development community and various statistics like number of contributors, number of commits, usage levels in terms of number of users, project behaviour in terms of faults/bugs reports and fixing time source line of code etc. are publicly available through the repository sites. Therefore the quality and reliability of the OSS code needs to be studied on the scale of these parameters. In this paper exploratory study is made on reliability metrics in view of OSS software and proposes a derived metrics based on these repository metrics of OSS. Although reliability is hard to measure but proposed simple derived user oriented matrix facilitate user for quantitative estimation and helps them to take decision on the adoption of OSS software.
An Enhanced Mobile HealthCare Monitoring System in Mobile Cloud Computing
MS. R.PARAMESWARI, DR. N.PRABAKARAN
Abstract: Cloud computing is on-demand computing that does not reside at the users’ premise. Instead, the computing resources are owned and managed by a service provider and the users access the resources via the Internet. Mobile computing provides new opportunities to personal users of healthcare services. Mobile and cloud technologies are at the heart of healthcare's transformation. Tablets are replacing paper medical charts, private clouds are enabling secure access to medical records, and mobile cloud collaboration tools are improving information sharing among medical professionals and academics. Mobile devices are being considered as service platforms for mobile health information delivery, access and communication. Wireless and mobile communications lead to the emergence of a new type of advanced service for health care, making mobile health care systems more realistic and feasible in terms of providing expert-based medical care. Cloud Computing provides functionality for managing information data in a distributed, ubiquitous and pervasive manner supporting several platforms, systems and applications. The implementation of a system that enables autonomic computing is that “Systems manage themselves according to an administrator’s goals and new components must be integrated effortlessly”.
Keywords: Mobile Internet Applications, EHR, EMR, m-Healthcare
Prevention of Buffer Overflow Attack on Mobile Ad Hoc Networks
M.RAJALAKSHMI, M.MANIKANDAN
Abstract: A policy enforcing in MANETs challenging because lack of they infrastructure so introduce a Satem. Satem is a service aware trusted execution monitor. It kernel level trusted execution monitor, it verifies the node trustworthiness of enforcing the required set policies. To achieve a services aware by limiting scope of monitoring to protected services. To initialize the trust on the monitor the trusted platform modules is used. A Policy enforcing mechanism in MANET is performed to provide the secure communication. If two node enforce the same set of policies for two instance of application and also if the underlying protocol used by the application are the same then these two instance running on different nodes can engage in communication. Nodes can be a member of multi-tier network at the same time. The security provided by the mechanism is validated by performing the security analysis. Performance of the network is evaluated using network simulator.
Keywords: Satem, MANETs, Policy Enforcing Mechanism, Routing, Congestion control
Detection of Duplicate Nodes in Wireless Sensor Networks Using Sequential Probability Ratio Testing
T.NIDHARSHINI, V.JANANI
Abstract: In wireless sensor networks(WSN), there are many nodes and they are unattended so an adversary can easily capture and compromise the sensor nodes and take secret key from the nodes then make many replicas(duplicate) of them. After getting the secret key from the sensor node the sensitive data which is present in the nodes get leaked so an adversary can quickly degrades the network communication. To avoid this node compromised attack we use sequential probability ratio testing (SPRT). In literature several compromised node detection works well in static sensor networks and they do not work well in mobile sensor networks. Using SPRT we detect the compromised node in mobile sensor networks. This paper show analytically and through ns2 simulation experiments that the scheme detects duplicate node in an efficient and robust manner.
Keywords: mobile sensor nodes, static sensor networks, mobile sensor networks, network communication, sensitive data.
Information Retrieval Systems in XML Based Database – A review
PREETI PANDEY, L.S.MAURYA
Abstract: XML - the eXtensible Markup Language has emerged as a new standard for data representation and exchange over the Internet. It will become a universal format for data exchange on the Web and that in the near future we will find vast amounts of documents in XML format on the Web. As a result, it has become crucial to sort large collections of XML documents and retrieve relevant information from the collection efficiently and effectively. In our paper we are focusing on reliability of a software component. XML as a data interchange format helps in communicating across heterogeneous platform and hence establish a reliable communication with easy to maintain individual software components. We have a corpus of XML documents. The stop words are removed to remove the unimportant terms. The next step is stemming, after that parsing of the documents is done to generate the structural terms and thus structural terms are stored. Then searching of index structure is done to retrieve the documents based on some ranking criteria, in response to user query.
Establishing Effective Connectivity in Brain using Dynamic Bayesian Network
SHIVAJI MUTKULE, PRAFUL SONARKAR, MEGHANA NAGORI
Abstract: Dynamic connectivity is shown essential for normal brain function. It is difficult to develop model for inferring brain effective connectivity from non invasive (fMRI) data. Author prefers DBN because its suitability and flexibility and it has solid base on statics. the proposed method detect the statistically significant, biological plausible connectivity between task related region of interest(ROIs) that difference between schizophrenic and normal subject, finding more knowledge which consist of prior neuroscience knowledge. Determine highly reproducible DBN node/edges across subjects seem promising for inferring altered functional connectivity within a group.
Economic Aspects of Reliability Assessment and Prediction of Open Source Softwares- A Review
JITENDRA SINGH, L.S.MAURYA
Abstract: In this paper, Economic aspects of reliability assessment and prediction of OSSs reviewed. It needs a long time for a company to make a reputation for being “reliable”, and only a short time to be branded as “unreliable” after shipping a flawed product. In Economic aspects, continual assessment of new product reliability and ongoing control of the reliability of everything shipped are critical necessities in today’s competitive business arena. Open Source Communities have successfully developed a great deal of software. Government of India is also promoting usage of open source softwares due to its economic feasibility and security. In this paper various expert’s views about OSS reliability have been analyzed. Different characteristics of OSS than proprietary s/w affect the reliability. Furthermore selection of appropriate reliability metrics has been discussed. Various SRGMs and Reliability tools were also discussed. These findings are also analyzed and verified in Economic Aspects. This paper will be helpful for research scholars doing their research in Software Reliability.
Keywords: Software Reliability, Open Source Softwares, SRGM, Reliability Metrics
A survey on Mobile Agent Based Intrusion Detection System
TRUSHNA TUSHAR KHOSE PATIL, C.O.BANCHHOR
Abstract: The widespread proliferation of network connections has made current computer networks more vulnerable to intrusions than before. In network intrusions, there are multiple computing nodes that are attacked by intruders. The evidences of intrusions are to be gathered from all such attacked nodes. The detailed architecture and implementation of a prototype of DIDMA are described. In this paper, the performance metrics of different IDS are compared.
Abstract: Temporal data clustering provides underpinning techniques for discovering the intrinsic structure and condensing information over temporal data. To classify data mining problems and algorithms used two dimensions: data type and type of mining operations. One of the main issue that arise during the data mining process is treating data that contains temporal information. Temporal data representations are generally classified into two categories: piecewise and global representations the area of temporal data mining has very much attention in the last decade because from the time related feature of the data, one can extract much significant information which cannot be extracted by the general methods of data mining. Many interesting techniques of temporal data clustering were proposed and shown to be useful in many applications. Since temporal data clustering brings together techniques from different fields such as databases, statistics and machine learning the literature is scattered among many different sources. In this paper, present a survey on temporal data clustering.
An Efficient Secure Cache Management with Dynamic Pricing Scheme for Cloud Environment
S.KARPAGAVIDHYA, T.KALAI SELVI
Abstract: In this article, we propose the basic concepts about efficient secure cache management with dynamic pricing scheme for cloud environment and survey the list of existing cloud computing techniques. Pricing schemes are used in commercial clouds. Infrastructure as a Service (IaaS) provides resources based on demand model. Data centers are used to share storage spaces and data values. Caching technology improves the performance of the cloud. Cache as a service (CaaS) model is an additional service to IaaS. The proposed system is designed to provide data and services with cache support. Dynamic pricing scheme is used to estimate the price for cache. Data security is provided using Advanced Encryption algorithm. The data verification process is carried out with the secure hashing algorithm. Remote Direct Memory Access is used to access the data storages in the remote cloud server.
Keywords: Cloud Environment, Cache as a service model, Virtual Machine, Remote Memory, Pricing Scheme.
Securing Cloud from Attacks based on Intrusion Detection System
SOUMYA MATHEW, ANN PREETHA JOSE, E.SARAVANAKUMAR
Abstract: Cloud Computing provides a framework for supporting end users easily attaching powerful services and applications through Internet. Cloud Computing is increasingly becoming popular as many enterprise applications and data are moving into cloud platforms. Because of their distributed nature, cloud computing environments are easy targets for intruders looking for possible vulnerabilities to exploit. However, with the extensive use of cloud computing, security issues came out on a growing scale. It is necessary to solve these security issues to promote the wider applications of cloud computing. To provide secure and reliable services in cloud computing environment is an important issue. Therefore, a Cloud computing system needs to contain some Intrusion Detection Systems (IDSs) for protecting each virtual machine against threats. In this case there exists a trade-off between the security level of IDS and the system performance. If the IDS provide stronger security services using more rules or patterns, then it needs much more computational resources in proportion to the strength of security. Another problem in Cloud Computing is that, it is hard to analyse huge amount of logs by system administrators. The objective of the paper is to propose a method that enables Cloud Computing System to achieve both effectiveness of using the system resources and strength of the security service without trade-off between them.
Abstract: Renal failure is a term to describe a situation when the kidneys fail to work. This may be a permanent or temporary failure. When the kidneys fail, Wastes begin to accumulate in the blood (uremia)As homeostasis is upset within the body, other organs can also begin to shut down – heart, liver, etc. The end result of renal failure is usually death unless the blood is filtered by some other means. The ideal intervention is to replace the failed kidneys with a donor kidney (STSE).While a person waits for a donor kidney, they usually have to undergo dialysis, a method where their blood is filtered and cleaned on a regular basis using machines. This paper gives a brief review about home dialysis machines.
Keywords: uremia, homeostasis, dialysate, British Pharmacopoeia.
Metrics for Assessing the Design of Software Interfaces
HANI ABDEEN, OSAMA SHATA
Abstract: Recent studies have largely investigated the detection of class design anomalies. They proposed a large set of metrics that help in detecting those anomalies and in predicting the quality of class design. While those studies and the proposed metrics are valuable, they do not address the particularities of software interfaces. Interfaces define the contracts that spell out how software modules and logic units interact with each other. This paper proposes a list of design defects related to interfaces: shared similarity between inter-faces, interface clones and redundancy in interface hierarchy. We identify and describe those design defects through real examples, taken from well-known Java applications. Then we define three metrics that help in automatically estimating the interface design quality, regarding the proposed design anomalies, and identify refactoring candidates. We investigate our metrics and show their usefulness through an empirical study conducted on three large Java applications.