bluuebunny/crossref_metadata_2025 huggingface dataset:
Data Mining Algorithms: An Overview
Authors: Joseph Sethunya R , Hlomani Hlomani , Letsholo Keletso
Published: May 2018

The research on data mining has successfully yielded numerous tools, algorithms, methods and approaches for handling large amounts of data for various purposeful use andÂ  Â problem solving. Data mining has become an integral part of many application domains such as data ware housing, predictive analytics, business intelligence, bio-informatics and decision support systems. Prime objective of data mining is to effectively handle large scale data, extract actionable patterns, and gain insightful knowledge. Data mining is part and parcel of knowledge discovery in databases (KDD) process. Success and improved decision making normally depends on how quickly one can discover insights from data. These insights could be used to drive better actions which can be used in operational processes and even predict future behaviour. This paper presents an overview of various algorithms necessary for handling large data sets. These algorithms define various structures and methods implemented to handle big data. The review also discusses the general strengths and limitations of these algorithms. This paper can quickly guide or an eye opener to the data mining researchers on which algorithm(s) to select and apply in solving the problems they will be investigating.
Secure and Distributed On-Demand Randomized Routing in WSN
Authors: Upendran V. , Dhanapal R.
Published: May 2018

Security and energy efficiency is of paramount importance in a wireless sensor network. This is due to their vulnerabledeployment conditions and battery based power. This paper presents a secure and distributed algorithm that generatesroutes on-demand in a wireless sensor network. Dynamic route generation is facilitated by PSO, a metaheuristictechnique. Current network traffic in that route and charge contained in the candidate node are used as evaluationparameters along with the node distance, hence a huge reduction in the packet loss was observed. Experiments wereconducted and it was observed that the proposed algorithm exhibits very low selection overhead and also providesdistributed routs, which eventually lead to prolonged network lifetime.
A SURVEY ON LOAD BALANCING IN CLOUD ENVIRONMENT
Authors: Kaur Sumanpreet , Ghumman Mr. Navtej Singh
Published: May 2018

In present days cloud computing is one of the greatest platform which provides storage of data in very lower cost and available for all time over the internet.But it has more critical issue like security, load management and fault tolerance. In this paper we are discussing Load Balancing approach. Resource scheduling management design on Cloud computing is an important problem. Scheduling model, cost, quality of service, time, and conditions of the request for access to services are factors to be focused. A good task scheduler should adapt its scheduling strategy to the changing environment and load balancing Cloud task scheduling policy. Cloud Computing is high utility software having the ability to change the IT software industry and making the software even more attractive. It has also changed the way IT companies used to buy and design hardware. The elasticity of resources without paying a premium for large scale is unprecedented in the history of IT industry. The increase in web traffic and different services are increasing day by day making load balancing a big research topic. Cloud computing is a new technology which uses virtual machine instead of physical machine to host, store and network the different components. Load balancers are used for assigning load to different virtual machines in such a way that none of the nodes gets loaded heavily or lightly. The load balancing needs to be done properly because failure in any one of the node can lead to unavailability of data.
Analysis of Frequency Selective with Nonlinear Antenna under Radiations of Bi-Frequency Waves Based on Genetic Algorithm
Authors: Teimoory Mona
Published: May 2018

The more frequency radiation increases, the shorter becomes its wave length. The short wavelength, while hitting to some material, cause vibration and make change the positive and negative poles. As the most common way of genetic algorithm codification is using zero and one alphabet, genetic algorithm field is series of potential responses which are codified by some ways. Generally, the primitive population greatness has 30 or 100 members. In this study, genetic algorithm is applied for analyzing frequency selective surfaces with nonlinear antenna, in order to obtain two poles of nonlinear loads. It is worth to mention that two waves, with two different frequencies between 100 and 120 MHz, are radiated to antenna. The Ieq and Yin, in mentioned frequencies, are measured through FEKO software. Finally, after different analysis, it has been determined that in order to analyze selective surfaces, like harmonic balance, which are only capable of single frequency radiation, more global genetic algorithm analysis would be introduced for frequency selective surfaces.
P-Codec: Parallel Compressed File Decompression Algorithm for Hadoop
Authors: Hanafi Idris , Abdel-Raouf Amal
Published: May 2018

The increasing amount and size of data being handled by data analytic applications running on Hadoop has created a need for faster data processing. One of the effective methods for handling big data sizes is compression. Data compression not only makes network I/O processing faster, but also provides better utilization of resources. However, this approach defeats one of Hadoopâ€™s main purposes, which is the parallelism of map and reduce tasks. The number of map tasks created is determined by the size of the file, so by compressing a large file, the number of mappers is reduced which in turn decreases parallelism. Consequently, standard Hadoop takes longer times to process. In this paper, we propose the design and implementation of a Parallel Compressed File Decompressor (P-Codec) that improves the performance of Hadoop when processing compressed data. P-Codec includes two modules; the first module decompresses data upon retrieval by a data node during the phase of uploading the data to the Hadoop Distributed File System (HDFS). This process reduces the runtime of a job by removing the burden of decompression during the MapReduce phase. The second P-Codec module is a decompressed map task divider that increases parallelism by dynamically changing the map task split sizes based on the size of the final decompressed block. Our experimental results using five different MapReduce benchmarks show an average improvement of approximately 80% compared to standard Hadoop.
Role-Attribute-Based Encryption (RABE) Access Control for Healthcare Cloud Systems
Authors: Centonze Paolina
Published: May 2018

In the medical industry, it is critical to ensure the confidentiality of patientsâ€™ personal health records when storing and managing them. Before cloud computing surfaced, heath providers used local servers and hard drives to store their records and data. As cloud computing has been becoming more prominent many healthcare providers are using the cloud to store and manage their sensitive data. This journal compares and investigates two different access control models, in particular Role-Based Access Control and Attribute-Based Access Control, to validate the confidentiality of data when storing and managing personal health records on cloud services. The comparative analysis of these access control models is done to identify possible inefficiency and privacy restrictions in these two access control based models. In addition, in this journal we propose a new access control model, which we refer to as Role-Attribute-Based-Encryption Access Control (RABE), by combining some of the best aspects of both RBAC and ABAC in order to improve data privacy on cloud systems used in healthcare.
Exploitnig DNS Server Vulnerabilites Using Linux Operating System
Authors: Abdulrahman Aysar A. , Jumaa Alaa K.
Published: May 2018

Today, the world is using many modern Information Technology (IT) systems to gather, store, and manipulateimportant information. On the other hand, hackers are trying to gain access to any computer or system for viewing, copying, or creating data without the intention of destroying data or maliciously harming the computer. Exploiting domain name system (DNS) vulnerabilities have resulted in a range of high profile disruptions and outages for major internet sites around the world. DNS attack is an exploit in which an attacker takes advantage of vulnerabilities is the (DNS). This paper will present the vulnerabilities and the weak points of the DNS server and how attackers (black hat hakcer) can exploit those vulnerabilities to attack and gain access to the server machine. In conclusion, presenting and implementing this project make users understand the hazard of hackers. Then, will lead to build secure and protected systems and applications.
A REVIEW ON ENGERY EFFICIENT STRATEGY FOR TASK ALLOCATION IN CLOUD ENVIRONMENT
Authors: Grover Sakshi , Ghumman Mr. Navtej Singh
Published: May 2018

Although cloud computing is now becoming more advanced and matured as many companies have released their own computing platforms to provide services to public, but the research on cloud computing is still in its infancy. Apart from many other challenges of cloud computing, efficient management of energy is one of the most challenging research issues. In this paper we review the existing algorithm of dynamic resource provisioning and allocation algorithms and holistically work to boost data center energy efficiency and performance. This particular paper purposes a) heterogeneous workload and its implication on data centers energy efficiency b) solving the problem of VM resource scheduling to cloud applications
Enhanced AODV Protocol for Detection and Prevention of Blackhole Attack in Mobile Ad Hoc Network
Authors: Hijazi Sherin , Moshref Mahmoud , Al-Sharaeh Saleh
Published: May 2018

Mobile Ad-hoc Network (MANET) is a kind of wireless network that has the most challenging network infrastructure. It is formed using the mobile nodes without any centralized administration from the security perspective and is a self-configuring fastest emerging wireless technology, each node on the MANET will act like a router which forwards the packets. Dynamic nature of this network makes routing protocols to play a prominent role in setting up efficient route among a pair of nodes. Dynamic Source Routing (DSR) and Ad-hoc On-Demand Distance Vector (ADOV) is a reactive MANET routing protocols. Most of the attacks on MANETs are routing protocol attacks. Attacks on routing protocols, especially internal attacks will cause the damage to MANETs. Sinkhole and black hole attacks are a type of internal attack which is affected by attempting to draw all network traffic to malicious nodes that fake routing update and degrade the performance of the network. The black hole nodes should be detected from the network as early as possible via detection mechanism and should also guarantee the higher detection rate and less cross-over error rate. In this paper, we studied the characteristics of black hole attack and how it will affect the performance of the distance vector routing on demand routing protocol such as (ADOV) protocol, which recognizes the presence of black hole node from packet flow information between nodes and isolates it from the network via applying AODV protocol that one of popular routing protocol. We have evaluated the performance of the system using widely used simulator NS2, results prove the effectiveness of our prevention and detection method.
Speech Activity Detection and its Evaluation in Speaker Diarization System
Authors: Kaur Sukhvinder , Sohal J. S.
Published: May 2018

In speaker diarization, the speech/voice activity detection is performed to separate speech, non-speech and silent frames. Zero crossing rate and root mean square value of frames of audio clips has been used to select training data for silent, speech and nonspeech models. The trained models are used by two classifiers, Gaussian mixture model (GMM) and Artificial neural network (ANN), to classify the speech and non-speech frames of audio clip. The results of ANN and GMM classifier are compared by Receiver operating characteristics (ROC) curve and Detection ErrorTradeoff (DET) graph. It is concluded that neural network based SADcomparatively better than Gaussian mixture model based SAD.
A REVIEW ON ENGERY BASED SERVICE LEVEL AGREEMENT IN CLOUD ENVIRONMENT
Authors: Kaur Sukhbhinder , Ghumman Mr. Navtej Singh
Published: May 2018

Cloud Computing is being used widely all over the world by many IT companies as it provides various benefits to the users like cost saving and ease of use. However, with the growing demands of users for computing services, cloud providers are encouraged to deploy large datacenters which consume very high amount of energy and also contribute to the increase in carbon dioxide emission in the environment. Therefore, we require to develop techniques which will help to get more environment friendly computing i.e. Green Cloud Computing. Cloud computing is an increasingly popular paradigm for accessing computing resources. This paper discusses some of the research challenges for cloud computing from an enterprise or organizational perspective, and puts them in context by reviewing the existing body of literature in cloud computing. Various research challenges relating to the following topics are discussed: the organizational changes brought about by cloud computing; the economic and organizational implications of its utility billing model; the security, legal and privacy issues that cloud computing raises. It is important to highlight these research challenges because cloud computing is not simply about a technological improvement of data centers but a fundamental change in how IT is provisioned and used. This type of research has the potential to influence wider adoption of cloud computing in enterprise, and in the consumer market too
A REVIEW ON RESOURCE ALLOCATION MECHANISM IN CLOUD ENVIORNMENT
Authors: Kaur Rajveer , Ghumman Mr. Navtej Singh
Published: May 2018

Cloud computing is Internet based development and use of computer technology. It is a style of computing in which dynamically scalable and often virtualized resources are provided as a service over the Internet. Users need not have knowledge of, expertise in, or control over the technology infrastructure "in the cloud" that supports them. Cloud computing is a hot topic all over the world nowadays, through which customers can access information and computer power via a web browser. As the adoption and deployment of cloud computing increase, it is critical to evaluate the performance of cloud environments. Currently, modeling and simulation technology has become a useful and powerful tool in cloud computing research community to deal with these issues. Cloud simulators are required for cloud system testing to decrease the complexity and separate quality concerns. Cloud computing means saving and accessing the data over the internet instead of local storage. In this paper, we have provided a short review on the types, models and architecture of the cloud environment.
A REVIEW ON A NOVEL APPROACH FOR DATA COLLECTION IN WSN
Authors: Kaur Ramandeep , Kumar Dinesh
Published: May 2018

Wireless sensor networks have become increasingly popular due to their wide range of application. Clustering sensor nodes organizing them hierarchically have proven to be an effective method to provide better data aggregation and scalability for the sensor network while conserving limited energy. Minimizing the energy consumption of a wireless sensor network application is crucial for effective realization of the intended application in terms of cost, lifetime, and functionality. However, the minimizing task is hardly possible as no overall energy cost function is available for optimization. In this paper, we have proposed a modified alogirthm of leach where hard and soft threshold values will be applied for improving the overall throughput and network lifetime.
Using Junyi Academy to Explore the Difference in Learning Attitude of Remedial Instruction
Authors: Shen Yi -Hsueh , Wu Chen-Feng , Liu Li-Hua
Published: May 2018

As the concept of digital learning becomes increasingly clear, so does the labor division of instruction. The teachers who specialize in teaching no longer have to spare efforts to focus on something beyond instruction, which has led to the invention of instruction platforms. This study aims to probe into the difference in learning attitude among the students of the remedial instruction based on Junyi Academy. In this study, Junyi Academy was integrated with the remedial instruction of mathematics. Featuring â€œreplicableâ€, â€œcustomizedâ€ and â€œadaptiveâ€, this platform was employed to provide students with another learning method in the remedial instruction. The quasi-experiment method was adopted; the technology acceptance model (TAM) was taken as the theoretical foundation of the research structure; the behavioral scale which combined Junyi Academy with the remedial instruction of mathematics was used as the research tool; 26 freshmen of a junior college in Miaoli County were taken as the samples. Through the experimental instruction, this study discussed the studentsâ€™ acceptance of the remedial instruction based on Junyi Academy. One of the research purposes is that students will be able to study online by linking their computers with Junyi Academy and will not be confined to the learning time and place designated by schools. Another research purpose is to demonstrate that Junyi Academy is feasible for the remedial instruction.
A REVIEW ON DATA COLLECTION USING MOBILE NODES IN WSN
Authors: Kaur Chamanpreet , Singh Vikramjit
Published: May 2018

Wireless sensor networks have become increasingly popular due to their wide range of application. Clustering sensor nodes organizing them hierarchically have proven to be an effective method to provide better data aggregation and scalability for the sensor network while conserving limited energy. Minimizing the energy consumption of a wireless sensor network application is crucial for effective realization of the intended application in terms of cost, lifetime, and functionality. However, the minimizing task is hardly possible as no overall energy cost function is available for optimization. The need for energy-efficient infrastructures for sensor networks is becoming increasingly important. Wireless sensor networks are networks consisting of many sensor nodes that communicate over a wireless media. A sensor node is equipped with a sensor module, a processor, a radio module and a battery. Since the battery limits the lifetime of the sensor nodes it also limits the lifetime of the sensor network, thus energy efficiency is a major issue for sensor networks. An important goal in many sensor networks is to monitor an area as long time as possible. Hence, it is important to distribute energy consumption evenly across the network. When the energy consumption is evenly distributed, the major part of the sensor nodes will stay alive approximately equally long time.
HYBRID APPROACH USING MOBILE SINK AND FUZZY LOGIC FOR REGION BASED CLUSTERING IN WSN
Authors: Kaur Amneet , Kaur Harpreet
Published: May 2018

Wireless sensor network has revolutionized the way computing and software services are delivered to the clients on demand. Wireless sensor network is very important to the mankind. It consist of number of sensor called nodes and a base station. Nodes collect data and send to the base station. There are number of nodes which send data at a time. So, number of problems are occurred. So, far this nodes are divided into cluster then a cluster head will be formed. WSN is a battery powered system. When the battery is died no data send or received. So when all nodes participate for sending and receiving data then system is died earlier. Our research work proposed a new method for cluster head selection having less computational complexity. It was also found that the modified approach has improved performance to that of the other clustering approaches. The network area is divided into same sized smallâ€“small regions. Sensor nodes are randomly deployed in each predefined sub-area. Each region will have its region head (RH) and multiple member nodes. The member nodes in a specific region will send the data to the RH. RH within the region will be elected by distributed mechanism and will be based on fuzzy variables. It was found that the proposed algorithm gives a much improved network lifetime as compared to existing work. Based on our model, transmission tuning algorithm for cluster-based WSNs has been proposed to balance the load among cluster heads that fall in different regions. This algorithm is applied prior to a cluster algorithm to improve the performance of the clustering algorithm without affecting the performance of individual sensor nodes.
Image Processing: Capturing Student Attendance Data
Authors: Kurniawan Hendra - , Agarina Melda , Irianto Suhendro Yusuf
Published: May 2018

Role of the student attendance record is very important in the primary, secondary, and tertiary education. The purpose of this record is monitoring student activity in the teaching and learning process and regarded as one of the important learning assessments. Moreover, a data processing for recording the student attendance is currently done in various ways such as fingerprint, radio frequent identification (RFID), facial recognition system, android-based application, and others. However, many conventional ways (i.e., using paper-based system) are still used, especially in Indonesia. This is because several universities still rarely have enough funds for developing innovative systems. In this research, the image processing application for capturing student attendance data was built. The objective of this research was to provide an efficient alternative to monitor student activities in teaching and learning process. The image processing produced the information related to student attendance by scanning the attendance file through jpg/jpeg using learning vector quantization (LVG) as the process model.
A Survey on Design Methods for Secure Software Development
Authors: M.Surakhi Ola , Hudaib Amjad , AlShraideh Mohammad , Khanafseh Mohammad
Published: May 2018

Software provide services that may come with some vulnerabilities or risks. Attackers perform actions that break security of system through threats and cause a failure. To avoid security vulnerability, there are many security-specific concepts that should be determined as requirements during software development life cycle in order to deliver a strong and secure software. This paper first, survey a number of existing processes, life cycle and methodologies needed for developing secure software based on the related published works. It starts by presenting the most relevant Secure Software Development Lifecycles, a comparison between the main security features for each process is proposed. The results of the comparison will give the software developer with a guideline which will help on selecting the best secure process. Second, the paper list a set of the most widely used specification languages with the advantages and disadvantages for each.
Impact of Ransomware on Cybersecurity
Authors: ITAI YAYA , Onwubiko Emmanuel
Published: May 2018

This paper attempts to discover ransomware exposing the lack of cyber-security. It intends to elicit attention with regards to ransomware, a newly emerged cyber threat and to help organizations; IT practitioners understand the need for cyber security knowledge and awareness plus types of tools used. The paper also discusses methodologies trends and research recommendation on cyber-security threats and provides probative strategic strategy.
Frequency Analysis of 32-bit Modular Divider Based on Extended GCD Algorithm for Different FPGA chips
Authors: Al-Hiaja Qasem Abu , AlShuaibi Abdullah , Al Badawi Ahmad
Published: May 2018

Modular inversion with large integers and modulus is a fundamental operation in many public-key cryptosystems. Extended Euclidean algorithm (XGCD) is an extension of Euclidean algorithm (GCD) used to compute the modular multiplicative inverse of two coprime numbers. In this paper, we propose a Frequency Analysis study of 32-bit modular divider based on extended-GCD algorithm targeting different chips of field-programmable gate array (FPGA). The experimental results showed that the design recorded the best performance results when implemented using Kintex7 (xc7k70t-2-fbg676) FPGA kit with a minimum delay period of 50.63 ns and maximum operating frequency of 19.5 MHz. Therefore, the proposed work can be embedded with many FPGA based cryptographic applications.
Proposing Parameters for Evaluating Sustainability of mHealth Systems in Developing Countries
Authors: Muhambe Titus
Published: May 2018

The exponential rise in global healthcare challenges; the rise in morbidity and mortality, especially in developing countries have compelled stakeholders to explore alternative ways of overcoming the crisis. Guided by the recommendation of WHO (2013), efforts have been directed towards prevention, response and strengthening of the existing healthcare systems. There have also been efforts to explore the potential of mobile technology towards healthcare provision, with numerous mHealth projects being reported across the developing world. Reports indicate that a significant number of these solutions have failed before realizing the primary goals, pointing to a possible mHealth sustainability challenge. The study explored literature covering global health challenges, use of mobile technology healthcare solutions in developing countries as well literature covering evaluating technology sustainability. Through the review, key factors that influence sustainability of technology were identified. A cross-sectional survey using questionnaires and a qualitative exploratory study using interviews and Focused Group Discussion, targeting mHealth stakeholders were used to map and contextualize the identified sustainability factors to the developing country context. The identified factors were categorized into three broad categories; Individual factors; User Satisfactions, Access to system, and User Support, Technological Factors; System Quality, System Scalability, Technology Sustainability, Technology Relevance and System Interoperability and Management Factors; mHealth Ownership and Net Benefits (Return on Investment). The paper identifies challenges in the sustainability of mHealth systems in developing countries; using Kenya health sector as a case study and propose sustainability evaluation parameters for mHealth systems in developing countries.
Development of An Examination Authentication Embedded System Based on Fingerprint Approach
Authors: Oyedepo (Member IAENG) Oyediran Mayowa , Bolanle Wahab Wajeed , Wasiat Elegbede Adedayo , Jolie Enegbe Toye
Published: May 2018

Security is crucial all around. Access into institutions, examination centers, organizations or even estates ought to be controlled and closely monitored through a verification system. The method of authenticating a student for an examination has an obvious problem such as presentation of fake clearance card, impersonation and so on and the unethical manner associated with the examination is a grim issue that requires the stakeholders in academic area to seek for alternative means of authenticating student for examination, because the manual paper-based clearance process is fundamentally flawed. Sequel to that, a dependable and effective system is designed to tackle the issues of the convectional technique. The system will verify the understudy using fingerprint biometrics technique and generate a report which can serve as an attendance.
PERFORMANCE EVALUATION OF IMAGE QUALITY BASED ON FRACTAL IMAGE COMPRESSION
Authors: Kaur Gaganpreet , Hitashi Hitashi , Singh Dr. Gurdev
Published: May 2018

Fractal techniques for image compression haverecently attracted a great deal of attention. Fractalimage compression is a relatively recenttechnique based on the representation of animage by a contractive transform, on the space ofimages, for which the fixed point is close to theoriginal image. This broad principle encompassesa very wide variety of coding schemes, many ofwhich have been explored in the rapidly growingbody of published research.Unfortunately, littlein the way of practical algorithms or techniqueshas been published. Here present a technique forimage compression that is based on a very simpletype of iterative fractal. In our algorithm awavelet transform (quadrature mirror filterpyramid) is used to decompose an image intobands containing information from differentscales (spatial frequencies) and orientations. Theconditional probabilities between these differentscale bands are then determined, and used as thebasis for a predictive coder.We undertake a study of the performance offractal image compression. This paper focusesimportant features of compression of still images,including the extent to which the quality of imageis degraded by the process of compression anddecompression.The numerical experiment is doneby considering various types of images and byapplying fractal Image compression to compressan image. It was found that fractal yields betterresult as compared to other compressiontechniques. It provide better peak signal to noiseratio as compare to other techniques, but it takehigher encoding time.The numerical results arecalculated in Matlab.
SRGM with Imperfect Debugging using Capability Analysis of Log-Logistic Model
Authors: Naga Raju Dr.O. , Rakesh D. , SubbaReddy K.V.
Published: May 2018

Analyze the predict capability of some SRGMs to understand the different parameters to facilitate the estimate process. The predict validity analysis will be on two key factors, one pertaining to the degree of fitment on available failure data and the other for its prediction capability. The validity analysis will be to arrive at trade off in choosing a simple model as compared to complex model by determining their performances across multiple data sets. Data for the predict validity analysis has been taken from different time periods to understand the impact of these models across various technologies and process during the time frame.
STUDY OF PARAMETERS FOR EVALUATION OF SOFTWARE AS A SERVICE
Authors: Kaur Aman deep , Singh DR.Hardeep , Singh Lakhbirpal
Published: May 2018

Cloud computing is widely believed to be a revolution in computing that could soon become an industry standard, altogether replacing the traditional office setup. Due to the recency of these services, question marks exist over the performance of these systems, and consequently, over the corresponding billing schemes that the service provider issues. This study aims at addressing some of these doubts by introducing a measurement test for the network performance of these services, and comparing them with the performance offered by traditional web-hosting services. In this paper the parameters to be taken into consideration are studied and evaluated when actually one is going for purchasing software as a service, so that true value and benefits can be understood.
Improvement inEnergy Efficiency of Wireless Sensor Network
Authors: Kaur Sawroop , Prashar Deepak , Rani Rita
Published: May 2018

Clustering in wireless sensor network is important to increase the lifetime of sensor network. LEACH protocol is one of the clustering routing protocols in wireless sensor networks. In LEACH each node has the equal probability to be a cluster head, due to which the energy dissipation of every node is balanced. In LEACH protocol, time is divided into many rounds and in each round, all the nodes wishes to be cluster head according to a predefined criterion. This paper focuses on the approach that how could the number of cluster heads are limited in the network, if we limit the number of cluster head to a percentage of total nodes in the network, we can increase the lifetime of the network and decrease the energy dissipation per node. These functions can be used to enhance the performance of cluster-based wireless sensor networks in terms of lifetime and throughput.
ANALYSIS AND SYNTHESIS OF ENHANCED ANT COLONY OPTIMIZATION WITH THE TRADITIONAL ANT COLONY OPTIMIZATION TO SOLVE TRAVELLING SALES PERSON PROBLEM
Authors: Arora Pallavi , Kaur Harjeet , Agrawal Prateek
Published: May 2018

Ant Colony optimization is a heuristic technique which has been applied to a number of combinatorial optimization problem and is based on the foraging behavior of the ants. Travelling Salesperson problem is a combinatorial optimization problem which requires that each city should be visited once. In this research paper we use the K means clustering technique and Enhanced Ant Colony Optimization algorithm to solve the TSP problem. We show a comparison of the traditional approach with the proposed approach. The simulated results show that the proposed algorithm is better compared to the traditional approach.
ANALYZING AND IMPROVING WEB APPLICATION QUALITY USING DESIGN PATTERNS
Authors: Bhatia Shikha , Singh Mr. Harshpreet
Published: May 2018

With the mounting demand of web applications, a number of issues allied to its quality have came in existence. In the meadow of web applications, it is very thorny to develop high quality web applications. A design pattern is a general repeatable solution to a generally stirring problem in software design. It should be noted that design pattern is not a finished product that can be directly transformed into source code. Rather design pattern is a depiction or template that describes how to find solution of a problem that can be used in many different situations. Past research has shown that design patterns greatly improved the execution speed of a software application. Design pattern are classified as creational design patterns, structural design pattern, behavioral design pattern, etc. MVC design pattern is very productive for architecting interactive software systems and web applications. This design pattern is partition-independent, because it is expressed in terms of an interactive application running in a single address space. We will design and analyze an algorithm by using MVC approach to improve the performance of web based application. The objective of our study will be to reduce one of the major object oriented features i.e. coupling between model and view segments of web based application. The implementation for the same will be done in by using .NET framework.
Evaluation by Implementation of the Policy-based Network Management System Called DACS System
Authors: Odagiri Kazuya , Shimizu Shogo , Ishii Naohiro
Published: May 2018

As the work for managing a whole LAN effectively withoutlimited purposes, there are works of Policy-based networkmanagement (PBNM). The existing PBNM is defined in someorganizations including the Internet Engineering Task Force(IETF). However, it has structural problems. For example,communications sent from many clients concentrate on acommunication control mechanism called PEP (PolicyEnforcement Point). To improve the problems, we have beenstudying next generation PBNM called Destination AddressingControl System (DACS) Scheme. The DACS Scheme controlsthe whole LAN through communication control by the clientsoftware as PEP which locates on a client computer. We havebeen studied on the aspect of principle until now. In thisresearch, we implement a DACS system to realize a concept ofthe DACS Scheme, and show implement method and results offunctional experiments.
Biomedical Technology: The transforming paradigm of Healthcare Industry with its impact on Patient Monitoring System
Authors: Kemkar Onkar S
Published: May 2018

Telehealth technology, which leverages wireless andenterprise networking, is changing the model of how we thinkabout going to the doctor. The ability to automatically andaccurately capture and record patient data from biomedicaldevices can improve workflow and efficiency. In this paperwe are going to discuss a patient monitoring system based onan existing industry standard communication network, usingstandard hardware components and software technologies.The standard interfaces, and flexible signal interpretationpotential.
Database Services for Cloud Computing – An Overview
Authors: Malliga P.
Published: May 2018

Cloud computing has revolutionized the way computinginfrastructure is abstracted and used. There is a proliferation ofnumber of applications which leverage various cloud platforms,resulting in a tremendous increase in the scale of data generated aswell as consumed by such applications. This paper reviews thefeatures of Cloud computing and then gives a survey of differentdatabase architecture for cloud computing. Scalable databasemanagement systems are a crucial part of the cloud infrastructurewhich includes both update intensive workloads and decisionsupport systems. The paper presents an organized picture of thechallenges and open issues pertaining to database managementsystems in developing and deploying internet scale applications inthe cloud environment. The typical properties of commerciallyavailable databases for cloud computing environment are alsobrought out.
Enhance Location Based Power Aware Routing Protocol in Ad-Hoc Network
Authors: Verma Lal Pratap , Mathuriya Aniket , Manwall Rajneesh
Published: May 2018

In wireless ad-hoc networks, there areseveral characteristics different with wired networks. Thedifferences are changing of network topology, limitedresources like bandwidth and energy and so on. In thesedays as the bandwidth issue becomes more important, it isrequired to research about the efficient resource allocationmethods optimized in wireless network ks. In the paper,we improve LAR (Location-Aided Routing) which is oneof the most famous location based routing methods. Thiskind of technique uses information about the location ofmobile node through GPS technique. Our new protocolconsiders both areas of routing and bandwidth. At first,propose a more efficient routing method which improvesthe quality of services .Secondly, a bandwidth awaremethod is proposed to select proper transmissionbandwidth node by using a threshold value of bandwidth
Overcoming the limitations of PDB format
Authors: Mehta Shifali , Singh Amardeep
Published: May 2018

The Protein Data Bank is a repository for the 3-D structuraldata of large biological molecules, such as proteins andnucleic acid. The PDB is a key resource in the areas ofstructural biology, structural genomics. Most major scientificjournals, and some funding agencies, such as the NIH in theUSA, now require scientists to submit their structure data tothe PDB. If the contents of the PDB are thought of as primarydata, there are hundreds of derived databases that categorizethe data differently. For example, both SCOP and CATHcategorize structure according to type of structure andassumed evolutionary relations; GO categorize structuresbased on genes. In this paper, we will describe how toovercome the limitations of PDB format.
Low Power/ High Speed Design in VLSI with the application of Pipelining and Parallel processing
Authors: Sathish Shilpa , Lakshminarayana C.
Published: May 2018

The main objectives of any VLSI design are Power, Delay andArea. Minimizing all the objectives is a challenge in presentsituation but all efforts to achieve one of these can lead to abetter design. This paper proposes an EDA tool for low power/high speed VLSI design, which solves any DFG to estimate thespeed of operation and the percentage reduction in the powerconsumption using pipelining and parallel processing concepts
OPPORTUNISTIC APPROACH TO EXPLOIT WIRELESS SPECTRUM BY USE OF COGNITIVE RADIO
Authors: Preet Tanu Preet Singh , Singh Prof. R.K , Kaur Jaspreet , Sharma Vishal
Published: May 2018

Cognitive radio (CR) technology is envisaged to solve the problems in wireless networks resulting from the limited available spectrum and the inefficiency in the spectrum usage by exploiting the existing wireless spectrum opportunistically. In this paper, intrinsic properties and research on software defined cognitive radio (SDCR) are presented. Firstly brief introduction of Cognitive Radio is given along with its architecture.Â  Then spectrum management of Cognitive Radio ad hoc networks (CRAHNs) and their main features like spectrum sensing, spectrum decision, spectrum selection and spectrum mobility are defined. At the end, Software Defined Cognitive Radio (SDCR), its hardware and software platform, along with research topics on SDCR are defined
Comparative Study of Different Image Enhancement Techniques
Authors: Garg Saruchi , Lal Madan
Published: May 2018

The main purpose of image enhancement is to bring out detail that is hidden in an image or to increase contrast in a low contrast image. Image enhancement techniques provide a multitude of choices for improving the visual quality of images. Appropriate choice of such techniques is greatly influenced by the imaging modality, task at hand and viewing conditions. This paper analyses the performance of some of existing image enhancement algorithms. The performance of algorithms are evaluatedÂ  both qualitatively and quantitatively.
A Comparative Analysis of Feed-Forward and Generalized Regression Neural Networks for Face Recognition Using Principal Component Analysis
Authors: Kumar Amit , Singh Mr. Mahesh
Published: May 2018

In this paper we give a comparative analysis of performance of feed forward neural network and generalized regression neural network based face recognition. We use different inner epoch for different input pattern according to their difficulty of recognition. We run our system for different number of training patterns and test the systemâ€™s performance in terms of recognition rate and training time. We run our algorithm for face recognition application using Principal Component Analysis and both neural network. PCA is used for feature extraction and the neural network is used as a classifier to identify the faces. We use the ORL database for all the experiments.
Stability Aware Routing in Mobile Ad-Hoc Networks using multiple Route
Authors: Mathuriya Aniket , Pal Pushpraj , Grover Lovedeep
Published: May 2018

Previous work on routing in MANETs has resulted innumerous routing protocols that aim at satisfying constraints such asminimum hop or low energy. Existing routing protocols often fail todiscover stable routes between source and sink when route availabilityis transient, i.e., due to mobile devices switching their network cardsinto low-power sleep modes whenever no communication is takingplace. In this thesis, we introduce a new approach stability awaresource routing protocol that is capable of predicting the stability (i.e.,expiration time) of multiple routes. Proposed protocol selects the routethat minimizes hop count while staying available for the expectedduration of packet transmission. The stability aware routing (SAR)resolve the problem of SADSR protocol indicate a significant increasein route discovery success rate with comparable route establishmentand maintenance overheads.
Implementation of Colored CAPTCHA
Authors: Kumar Mandeep , Dhir Dr. Renu
Published: May 2018

CAPTCHAs is an interesting of research are short forCompletely Automated Public Turing test to tell Computersand Humans Apart. The purpose of a CAPTCHA is to blockform submissions from spam bots â€“automated scripts thatharvest email addresses from publicly available web forms. Weintroduce a new CAPTCHA which is based on identifying thecolor of image, object or background. This actually requiresanalysis of complex contents of image, which humans usuallyperforms well but machines or robots usually do not. From alarge database of images, we select many images which havingsingle color. The main advantages of our CAPTCHA techniqueover the traditional text-based techniques are that it is languageindependent,does not require text-entry.General
Integration of Human Resource Information System to DSS, CMS and other applications to increase productivity
Authors: Chowdhury Joydeep , Bandhyapadhya Parimalendu , Hazra Gunamoy
Published: May 2018

Human Resources Management also deal with the facilities and requirements the Human Workforce are availing and need for their working process and carrier growth. It used to act as a bidirectional process flow which increase the â€œWorkforceâ€ and â€œSenior Managementâ€ and collaborate everybodyâ€™s requirements in a solution space and help to provide a better and value added service or outcome to customer or client of the organization. To make a human resource department more effective and efficient new technologies are now being introduced on a regular basis so make things much simpler and more modernized. One of the latest human resource technologies is the introduction of a Human Resources Information System. This integrated system is designed to help provide information used in HR decision making such as administration, payroll, recruiting, training, and performance analysis.
Providing Security in Data Aggregation using RSA algorithm
Authors: Singh Sukhpreet , Saurabh Er. Kumar
Published: May 2018

The RSA algorithm proposed by Rivest, Adi Shamir and Leonard Adleman is cryptography technique. The current problem with wireless sensor network is how to protect theÂ  security of the sensor data. RSA algoritm is used as a digital signature authentication in the field of security, basically works on deciding encryption variable. In this also the basic concept is to decide a description variable and then decide the description variable using same encryption variable. It is a secure and fast cryptographic system. The major effort will be applied on the RSA encryption technique in order to make node authenticated as well as to secure data while dealing with aggregation.
FPGA IMPLEMENTATION OF INTELLIGENT EMBEDDED SYSTEM FOR DISTRIBUTED ELECTRICAL APPLIANCES
Authors: Vejendla Swathi , Kamaraju Dr. M.
Published: May 2018

Now a days, Technology is veryimportant in daily life. In the offices, theusage of electronic appliances is increasingrapidly. So the demand for power is alsoincreasing. The power demand can be metupto some extent by reducing powerwastage. The proposed system reducespower wastage by switching off theelectrical appliances when not in use. Theproposed system controls the appliancesautomatically based on the need and isimplemented on FPGA in Xilinx platformusing Verilog HDL.
Design of IIR Filter using Remez Algorithm
Authors: Gupta Aashu , Lamba Dr. Vijay , Verma Er. Munish
Published: May 2018

In this paper, we present a numerical method for the equiripple approximation of Impulse Infinite Response digital filters. The proposed method is based on the formulation of a generalized eigenvalue problem by using Rational Remez Exchange algorithm. In this paper, conventional Remez algorithm is modified to get the ratio of weights in the different bands exactly. In Rational Remez, squared magnitude response of the IIR filter is approximated in the Chebyshev sense by solving for an eigenvalue problem, in which real maximum eigenvalue is chosen and corresponding to that eigenvectors are found, and from that optimal filter coefficients are obtained through few iterations with controlling the ratio of ripples.Â  The design algorithm is computationally efficient because it not only retains the speed inherent in the Remez exchange algorithm but also simplifies the interpolation step.
Process of Web Usage Mining to find Interesting Patterns from Web Usage Data
Authors: Patel Ketul , Patel Dr. A. R.
Published: May 2018

The traffic on World Wide Web is increasing rapidly and huge amount of data is generated due to usersâ€™ numerous interactions with web sites. Web Usage Mining is the application of data mining techniques to discover the useful and interesting patterns from web usage data. It supports to know frequently accessed pages, predict user navigation, improve web site structure etc. In order to apply Web Usage Mining, various steps are performed. This paper discusses the process of Web Usage Mining consisting steps: Data Collection, Pre-processing, Pattern Discovery and Pattern Analysis. It has also presented Web Usage Mining applications and some Web Mining software.