bluuebunny/crossref_metadata_2025 huggingface dataset:
Survey on Nearest Keyword Set Search in Multi-dimensional Datasets
Authors: Jebamalar A. , Anbuselvi Anbuselvi
Published: June 2018

Keyword query in multi-dimensional datasets is a noteworthy application in information mining. It is normal that the articles in a spatial database (e.g. eateries/inns) are connected with keyword(s) to demonstrate their organizations/administrations/highlights. An interesting issue known as neighboring Keywords inquiry is to question objects, called catchphrase cover, which together cover an agreement of question watchwords and have the base among items remove. As of late, we watch the increasing accessibility and significance of catchword rating in protest assessment for the better basic leadership. This propels us to study a non-particular version of Closest Keywords search called Best Keyword Cover which considers among items remove and also the watchword evaluation of articles. The baseline algorithm is enlivened by the strategies for Closest Keywords search which depends on comprehensively joining objects from various query keywords to produce contestant catchphrase covers. At the point when the quantity of query keywords builds, the execution of the baseline algorithm drops extensively as a consequence of enormous competitor catchphrase covers produced. To assault this downside, this work proposes an a great deal more adaptable algorithm called catchphrase nearest neighbor expansion (watchword NNE). Contrasted with the baseline algorithm, watchword NNE algorithm fundamentally decreases the amount of applicant catchphrase covers formed. The surrounded by and out investigation and broad examinations on genuine information sets have legitimized the prevalence of our watchword NNE algorithm.
Comparison of Various Data Mining Algorithms in the Prediction of Risk for Gestational Diabetes
Authors: Mary R. Catherine Stephina , Kumar B. Satheesh
Published: June 2018

Data Mining is a field of computer science which is used to discover new patterns for large data sets. Classification is an important task in data mining. In different areas of medicine, data mining has contributed to improve the results with other methodologies. Gestational diabetes is a condition characterized by high blood sugar (glucose) levels that is first recognized during pregnancy period of a woman. Diabetes is a disease in which levels of blood glucose, also called blood sugar, are above normal. People with diabetes have problems converting food to energy. Normally, after a meal, the body breaks food down into glucose, which the blood carries to cells throughout the body. Cells use insulin, a hormone made in the pancreas, to help them convert blood glucose into energy.During the second and third trimester, a mother's diabetes can lead to over-nutrition and excess growth of the baby. Having a large baby increases risks during labour and delivery. For example, large babies often require caesarean deliveries and if he or she is delivered vaginally, they are at increased risk for trauma to their shoulder. In addition, when foetal over-nutrition occurs and hyper insulinemia results, the baby's blood sugar can drop very low after birth, since it won't be receiving the high blood sugar from the mother. However, with proper treatment, a gestational diabetic mother can deliver a healthy baby despite having diabetes. In this paper, many classification algorithms like J48, simple CART and Naïve bayes algorithm are used to diagnose the diabetes in pregnant women and they are compared for their accuracy levels.
Electronic Voting
Authors: Sadiku Matthew N.O. , Shadare Adebowale E. , Musa Sarhan M.
Published: June 2018

Election is a democratic process by which a group of individuals choose between alternatives.  It allows citizens to choose their leaders. Demand for accurate election process has led governments worldwide to adopt electronic voting, which is a smarter way.  This is the next stage in the evolution of democracy and part of the digital government initiatives. The aim of this paper is to present a brief introduction to electronic voting.
An Energy Efficient Routing Scheme for Mobile Wireless Sensor Network with Mobile Sink
Authors: Kaur Ravneet Pal , Singh Maninder
Published: June 2018

In wireless sensor network, the sensor nodes find the route towards the sink to transmit the sensory information such as temperature, pressure etc of a particular area. The sensor nodes transmit the data directly to sink or it relays the data through neighbor nodes using single or multi-hop links. Each time when nodes send their data to static sink, the data is passed through the nearer nodes of sink to it. As soon as the nodes near to the sink become dead, the entire network will be useless as there will be no communication to the sink node. So, to conserve the energy we use mobile sink approach. Thus with the inclusion of mobile sink in WSN, new paradigm called mobile wireless sensor network came into existence. In this paper, to conserve energy and to perform energy efficient routing, we have proposed chain-based energy efficient routing scheme for mobile wireless sensor network (CB-EERM)which is using mobile sink and media access approach where sink moves from one position to another position in sensor field and sojourn at a particular location to collect the whole aggregated data from the various  leader(aggregator)nodes in chain using media access approach. The proposed mobile scheme CB-EERM is validated through simulation and compared with traditional static approach using metrics such as energy consumption, throughput, delay and packet delivery ratio where proposed approach outperforms the existing scheme.
English-Marathi Cross Language Information Retrieval System
Authors: Lokhande Kalyani , Tayade Dhanashree
Published: June 2018

Nowadays, diﬀerent types of content in diﬀerent languages are available on World Wide Web and their usage is increasing rapidly. Cross Language Information Retrieval (CLIR) deals with retrieval of documents in another language than the language of the requested query. Various researchers worked on Cross Language Information Retrieval systems for Indian languages using diﬀerent translation approaches. There is still CLIR system to be developed which allow user to retrieve Marathi documents when English query is given. In the proposed English to Marathi Cross Language Information Retrieval system, translation is based on query translation approach. The proposed system retrieves Marathi documents depending on matching terms in query. The performance of the proposed system is improved by query pre-processing and query expansion using WordNet.
Study of Power Control in CDMA System on the basis of optimization Technique
Authors: Geetanjli .
Published: June 2018

The power control in CDMA systems, grant numerous users to share resources of the system uniformly between each other, leading to expand capacity. With convenient power control, capacity of CDMA system is immense in contrast of frequency division multiple access (FDMA) and time division multiple access (TDMA). If power control is not achieved numerous problems such as the near-far effect will start to monopolize and consequently will reduce the capacity of the CDMA system. However, when the power control in CDMA systems is implemented, it allows numerous users to share resources of the system uniformly between themselves, leading to increased capacity For power control in CDMA system optimization algorithms i.e. genetic algorithm & particle swarm algorithm can be used which regulate a convenient power vector. These power vector or power levels are dogged at the base station and announce to mobile units to alter their transmitting power in accordance to these levels. The performances of the algorithms are inspected through both analysis and computer simulations, and compared with well-known algorithms from the literature.
Effective Methodologies for Enhancing Cloud Management in New Modern Enterprises
Authors: Aruna L.
Published: June 2018

Today Cloud computing is altering the way industries and enterprises do their businesses in that with passion scalable and virtualized assets are provided as a service over the Internet. This new model creates a brand new chance for enterprises. In this paper, some of the essential features of effective methodologies for cloud computing in the modern enterprise are briefly discussed with regard to the end-users, enterprises that use the cloud as a platform, and cloud providers themselves. Cloud Computing is capable as one of the main enablers for the all new manufacturing industry, it can transform the usual manufacturing business model, help it to align product innovation with business strategy, and create intelligent factory networks that support successful collaboration. Cloud computing has been in some of the major key areas of manufacturing industries such as IT, pay-as-you-go business models, productions calling up and down per require, and elasticity in deploying and customizing solutions. Clients can use cloud services according to their requirements. Cloud users can request services ranging from product design, manufacturing, testing, management, and all others tags of a product life cycle. Cloud Managed service provider (CMSP) is a company that distantly manages a customer's IT communications and/or end-user systems, typically on a proactive basis and under a subscription model.
Future of e-Wallets: A Perspective From Under Graduates’
Authors: Chauhan Madhu , Shingari Isha
Published: June 2018

This paper study about e-payments specifically mobile wallets. As we all know that after demonetization, there is a tremendous increase in number of e-payments. This paper specifically targets undergraduate students and portrays their preferred mode of payment. It also suggest some steps that should be taken for betterment of e-payment facilities.
Performance Analysis of NRZ and RZ Modulation Schemes in Optical Fiber Link Using EDFA
Authors: Payal . , Kumar Suresh , Sharma Deepak
Published: June 2018

Dense Wavelength Division Multiplexing (DWDM) is the current area of interest to exploit the bandwidth offered by optical fiber to enhance the data rate requirements. In the present paper analysis of DWDM system using Erbium Doped Fiber Amplifier (EDFA) is carried out in C-band. The 32-channel Wavelength Division Multiplexing (WDM) system, with a high-performanceflowrate of 10 Gbps, has been evaluated. The performance of Return to Zero (RZ) and Non-Return to Zero (NRZ) modulation formats in an optical communication system are investigated by modeling an optical fiber link using software OPTISYS V14. According to the modulated outputs, a comprehensive comparison in terms of Q factor is developed to establish the advantages and disadvantages of the code formats NRZ and RZ in short and long haul optical fiber communication system. Optimum results of Bit Error Rate (BER) and Q-factor are obtained for 60, 80 and 100km of fiber length. Pumping is discussed at 980nm and 1480nm.
A Comparative Study of Diagnosing Thyroid Diseases Using Classification Algorithm
Authors: Sivasakthivel A. , Shrivakshan G. T.
Published: June 2018

Data mining based applications are very useful and significant in healthcare and medical science. In health care, there are large volume of data, and this data has no structural value until converted into information and knowledge, which can help increase profits, control costs and maintain high quality of patient care. The classification is one of the most important applications of data mining technique. It is one of the most important decision making techniques in many real world problem. The main objective of this work is to analyze the several efforts made on the classification of thyroid data, the different classification techniques based on statistical techniques and soft computing techniques and their obtained results. In the field of healthcare the Data mining based classification plays an important roles.In the field of medical science Diagnosis of health conditions is a very important and challenging task. There are several types of diseases are diagnosis in medical science. Thyroid disease is one of serious diseases that is very major problem and affected the health of human being. Classification of Thyroid decease is one of the significant problems in medical science since it is directly related to health condition of human body; this type of disease can be cured by accurate identification and give correct treatment. This paper compare various classification algorithms such as J8, CART and Random Forest used for prediction on the diagnosis of thyroid. Several authors have worked in the field of thyroid diseases classification and give the proper classification accuracy with strong model.
Analysis of Various Contrast Improvement Techniques for Dehazing an Image
Authors: R DurgaLakshmi , P Saravanan
Published: June 2018

Haze removal also known as contrast improvement mention unique procedures that focus to minimize or eliminate the degradation that have arises while the digital image was captured. The degradation may be owing to different factors like respective target-camera motion, blur because of camera miss-focus, respective atmospheric instability and others. This paper has concentrated on the variety of contrast improvement techniques. Since haze depends on the information of scene depth which is unknown factor so dehazing is difficult task. Efficacy of fog is the function of distance between the camera and target. Thus, air light map estimation is needed to haze removal. The present dehazing techniques can be classified as: image enhancement and image restoration although, the image enhancement does not consolidate the cause of fog degrade the class of image.
Security over Wormhole Attack in VANET Network System
Authors: Nikam Shahuraje , Sarawagi Anshul
Published: June 2018

VANET plays important role while dealing with different vehicle communication. Security threats are always rising while working with heavy and public network. In past technique different dissemination techniques were introduced which deals with the security and proper communication in between the nodes and traffic. In this paper, previous approach over the data transmission is performed which deals with the lacking of security terms. Here a presentation of secure ECC with dynamic heuristic approach is presented which exhibit proper performance parameter while communicating in VANET network
An Enhanced Attack Graph Model Based Technique to Mitigate Zombie Attack in Cloud Computing using Fuzzy Logic
Authors: Kaur Ravneet , Bhatia Rekha
Published: June 2018

A cloud storagea secure cloud of solid cloud data is a solid well-defined framework. This is the confidence of the cloud an essential undertaking for cloud specialist organizations. In this proposed research a technique is developed for security in cloud users. An improvement in the existing technique that is called Role Based Access Model is done by including the command and browser analysis. Using these included features the activities of any unauthorized or authorized person is recorded that is to be analyzed later on to find out the intruder in network of cloud. This implementation aims towards the establishment of performance qualitative analysis on load sharing in VM to VM and then implemented in Clouds with Java language. In this thesis the study of load balancing algorithm with heterogeneous resources of the cloud, followed by comparative survey of other algorithms in cloud computing with respect to scalability, homogeneity or heterogeneity and process migration. Cloudlet long length versus Host bandwidth a pattern is observed in which response time increases in proportionate manner. Using the modified approach the reduction in the down time of the various processes is achieved as shown in results.
Hubsm: A Novel Amino Acid Substitution Matrix for Comparing Hub Proteins
Authors: G. Renganayaki , Nair Achuthsankar S.
Published: June 2018

Sequence alignment algorithms and  database search methods use BLOSUM and PAM substitution matrices constructed from general proteins. These de facto matrices are not optimal to align sequences accurately, for the proteins with markedly different compositional bias in the amino acid.   In this work, a new amino acid substitution matrix is calculated for the disorder and low complexity rich region of Hub proteins, based on residue characteristics. Insights into the amino acid background frequencies and the substitution scores obtained from the Hubsm unveils the  residue substitution patterns which differs from commonly used scoring matrices .When comparing the Hub protein sequences for detecting homologs,  the use of this Hubsm matrix yields better results than PAM and BLOSUM matrices. Usage of Hubsm matrix can be optimal in database search and for the construction of more accurate sequence alignments of Hub proteins.
Efficient Path Establishment Algorithm in MANETs using Bio-Inspired Techniques
Authors: Kaur Navneet , Verma Amandeep
Published: June 2018

The network in which the nodes can enter or leave the network as per their need is known as mobile ad-hoc network. This is a self-configuring type of network and so the routing in this type of network is very difficult. Numerous routing protocols are involved here which are classified on the basis of their properties into reactive, proactive and hybrid protocols. There are several important parameters such as delay, packet loss and throughput. These parameters are utilized for checking the performance of three routing protocols namely AODV, DSR and DSDV within this research. In comparison to the other protocols, the AODV routing protocol provides better results. In order to provide efficient path establishment from source to destination, enhancement has been proposed here within the AODV protocol which includes the utilization of cuckoo search and bee colony named bio-inspired techniques in it. The nodes that are found to be common in the selected paths are chosen to be the best nodes for the path. The NS2 tool is used for performing the simulations. As per the results achieved it can be seen that the AODV protocol provides better results in terms of the above mentioned parameters.
An Enhanced Methodology to Protect the Patient Healthcare Records Using Multi-Cloud Approach
Authors: Arunkumar R. Josephius , Anbuselvi R.
Published: June 2018

Now-a-days, most hospitals and medical centers is to manage huge volume of patient’s medical records into database. It is essential to collect and access this information everywhere, to increase productivity and improve quality of health cares. Need to access electronic health information across the world and improve the quality of healthcare to patients will highlight importance of using cloud computing architecture in this area. But, despite the benefits of cloud computing applications for health care, the security challenges of cloud should be addressed. In this paper, we introduce and describe a new proposed model called Electronic Health Record with Multi-Clouds Databases. This model will ensure the privacy of persons in a network and multi-cloud environment using cryptographic algorithm and distributed storage. This model is able to store any type of data such as number, string, image, etc. in a cloud environment. The Electronic Health Record with Multi-Clouds Database prevent from illegal intrusion and access to data in cloud environment and provide services such as data integrity, confidentiality and permanent availability of data in a safe and secure way. The evaluation results of proposed method show that despite increasing time of information storage and retrieval and System overhead
Issues and Challenges Faced by Online Business Organizations in Adopting Cloud Computing: A Research Agenda
Authors: Ayoobkhan Ahamed Lebbe Mohamed , Asirvatham David
Published: June 2018

With the rapid growth of processing and storage technologies and the success of the Internet, system resources are cheaper, more powerful and more advanced than ever. This technology helps to achieve a new computer model known as cloud computing, in which resources are provided as Internet applications that can be accessed and released from users on the Internet. Business organizations are increasing the cloud experience and they begin to change more important business functions onto cloud platforms. Cloud computing has been growing for companies around the world, but many are finding higher costs and more obstacles to cloud computing adoption than organization anticipated. As this is the latest trend in information technology, some companies are moving toward cloud computing. On the other hand, other companies cannot even take into consideration the idea of having their sensitive data outside their premises. Both of these cases represent companies that are just not very well informed. Over the past two decades, the online business organizations have been facing many commercial problems and challenges in their businesses such as managing available resources effectively, security threats in managing IT resources and high implementation cost. Therefore, this study reveal the literature review of the benefits can be served by cloud computing and the issues and challenges that Online business organizations (SME) faced, and how cloud computing is useful in solving these issues in Sri Lanka.
Comparative Study of E-Learning Frameworks: Recommendation for Nepal
Authors: Paudel Niroj , Kharel Bishnu Maya , Sah Ramesh Prasad , Shrestha Rajesh
Published: June 2018

E-learning is essentially the network-enabled transfer of skills and knowledge. E-learning refers to using electronic applications and processes to learn. E-learning applications and processes include Web-based learning, computer-based learning, virtual classrooms and digital collaboration. Content is delivered via the internet, intranet/extranet, audio or video tape, satellite TV and CD-ROM This study is a reflection to the current scenario of how ICT is being used in education sector in Nepal that depicts how E-learning Framework aid to different districts of rural areas of Nepal[8]. Since this research is based on fundamental research it is absolutely focused to enhance the knowledge of the researcher E-learning is better, but it implicates that, though its use, a better ICT education service can be delivered to most communities and pollution, still not familiar by ICT education and services For instances E-learning would be the higher priority to deliver education in rural education areas due to its remoteness and unavailability of new technology and other resources, moreover, it may enable the researchers to carry out further detailed study on the subject matter and for students to carryout similar task related to this study.The overall objective of this Study is to explore the practicability of E-learning application in context of Nepal, with special reference to aid provided by framework Nepal along with to acknowledge the practical consequences observed by framework Nepal after providing the E-learning services in various part of Nepal for access the practice of E-learning Frameworks. Also, recommend a suitable E-learning Framework for Nepal. This study is a reflection to the current scenario of how ICT is being used in education sector in Nepal that depicts how E-learning Framework aid to different districts of rural areas of Nepal. Since this research is based on fundamental research it is absolutely focused to enhance the knowledge of the researcher [9].
Control Cloud Data Access Privilge Anonymity with Attributed Based Encryption
Authors: Sudheer P. , Surekha T. Lakshmi
Published: June 2018

Cloud computing is a revolutionary computing paradigm, which enables flexible, on-demand, and low-cost usage of computing resources, but the data is outsourced to some cloud servers, and various privacy concerns emerge from it. Various schemes based on the attribute-based encryption have been to secure the cloud storage. Data content privacy. A semi anonymous privilege control scheme AnonyControl to address not only the data privacy. But also the user identity privacy. AnonyControl decentralizes the central authority to limit the identity leakage and thus achieves semi anonymity. The  Anonymity –F which fully prevent the identity leakage and achieve the full anonymity.
An Automated Brain Tumor Detection in MRI using Firefly Optimized Segmentation
Authors: Kaur Prabhjot , Kaur Amardeep
Published: June 2018

In the medical field brain tumor detection is an important application. The existing techniques of segmentation has various limitations. Existing techniques ignored the medical images which have poor quality or low brightness. Segmentation becomes the challenging issue as the image contains non-uniform object texture, cluttered objects, different image content and image noise. New technique of segmentation is proposed by research to detect tumor from MR images using firefly algorithm, then tumor is segmented and its features are extracted from MR image.  The main goal of Research to design an algorithm for MRI based brain tumor segmentation using firefly algorithm and to improve the accuracy of the tumor detection. Fireflies produce a reaction in their body which produce light , this chemical reaction is called bioluminescent. By using firefly technique it is possible to detect and localize tumor accurately. For comparative analysis, various parameters are used to demonstrate the superiority of proposed method over the conventional ones.
An Conventional Methodology for Brain Finger Printing
Authors: Ramasubramanian M. , Babu TKS. Rathish , Kumar VRS. Rajesh
Published: June 2018

Brain fingerprinting is based on finding that the brain generates a unique brain wave pattern when a person encounters a familiar stimulus use of functional magnetic resonance imaging in lie detection derives from studies suggesting that persons asked to lie show different patterns of brain activity than they do when being truthful. Issues related to the use of such evidence in courts are discussed. In the field of criminology, a new lie detector has been developed in the United States of America.This invention is supposed to be the best lie detector available as on date and is said to detect even smooth criminals who pass the polygraph test (the conventional lie detector test) with ease. The new method employs brain waves which are, useful in detecting whether the person subjected to the test, remembers finer details of crime. According to the experts, even if the person willingly suppresses the necessary information, the brain wave is sure to trap him.
A Research on Mammograms Classification using Wavelets
Authors: Aaina . , Kaur Amardeep
Published: June 2018

To cope with the distinct typeof deformity causing cancer, there are number of techniques which help in identifying tumor. Some of the various techniques are: Mammography, Ultrasound, MRI, and so on. Recently, Electrical impedance and nuclear medicine are used universally for investigation. These techniques are based on the picture processing i.e. identifying the anomaly which is done through the reading and retrieving data from photos. Although this research depends on mammogram photographs. Before recovering information one should be aware about all types of anomalies such as: micro-classification, masses, structural distortion, asymmetry, bosom density and so on. Moreover, after the process of obtaining the irregular part or can say that ROI (Region of Interest) on which the therapy is applied.The GLCM feature is used to extract the features and wavelets are used for compressing the image that helps in finding the abnormal part in the image which will not be compressed.
Prevention of Gray Hole Attack Using ABC and Fuzzy Logic
Authors: Singh Lokeshwar , Sharma Ashish
Published: June 2018

There are many advantages and reasons for wireless sensor network to be popular. The key concern while establishing wireless sensor network (Mobile ad-hoc network) is the routing protocol to be applied. Routing process is the process of discovering the path that a data packet will follow to get it from the source node to the destination node. As the mobile ad-hoc network consists of mobile nodes with no controlling unit in which each and every step of communication is handled by the nodes within the network itself. The selection of routing protocol is one of the difficult tasks and the key challenge faced by the routing is the energy consumption issue apart from the others. In this research, the routing technique is developed with a basic focus on reduction of the energy consumption while improving the overall performance of the network.  Presently, various efficient routing protocols have been estimated for wireless sensor network. In the presence of malicious nodes, the network becomes penetrable to different kind of attacks. In wireless sensor network, routing-attacks are relatively serious. It has number of potential-applications in completely un-predictable in dynamic environment. Routing protocol utilized here are in a form of reactive-routing protocol known as OLSR. This routing protocol route is based on demand.The proposed work has designed and implemented wireless sensor network in OLSR routing protocol. The gray hole attack is mitigated using Fuzzy Logic based on rule sets to have better routing process and ABC (Artificial Bee Colony) algorithm at superior rate for optimizing the route set at novel objective function.  In this work, the performance analysis of the network with the scenarios consisting 50 nodes moving with the speed of the 5-10m/s within the  area (1000X1000) m2 has been done in regards to the parameters, namely, Throughput, End-to-End Delay, BER (bit error rate) and Energy consumption).
Study of Various Multi Keyword Search in Cloud Computing
Authors: Pardesi Hitesh , Kumari Naveen
Published: June 2018

With the approach of cloud computing, data proprietors are induced to outsource their important information administration systems from adjacent spots to the business open cloud for proficient flexibility. As needs be, enabling a mixed cloud data look organization is of crucial essentialness. Considering the colossal number of data customers and documents in the cloud, it is vital to allow diverse watchwords in the chase request and return reports in the demand of their relevance to these catchphrases. Related wears down accessible encryption focus on single watchword chase or Boolean catchphrase look for, and sometimes sort the rundown things. In this paper, we describe and deal with the testing issue of insurance defending multi-catchphrase situated look for over encoded data in disseminated computing (MRSE).
Study of Dynamic Multikeyword Text Search Techniques over Encrypted Data in Cloud
Authors: Puri Ankita , Kumari Naveen
Published: June 2018

Day by Day ,with the advancement of modern technology over cloud computing motivating the data owners to outsource their data to the cloud server like Amazon, Microsoft, Azure etc .With the help of data outsourcing ,the organization can provide reliable data services to their user without any management of the overhead concern. Suppose, a large number of users that are on cloud and large number of documents on cloud, Its important for the service provider to allow multi-keyword query and provided the result that meet efficient data retrieval needs. In this paper, for the first time, we define and solve the challenging problem of privacy preserving multi-keyword ranked search over encrypted cloud data (MRSE), and establish a set of strict privacy requirements for such a secure cloud data utilization system to become a reality. Among various multi-keyword semantics, we choose the efficient principle of “coordinate matching”, i.e., as many matches as possible, to capture the similarity between search query and data documents, and further use “inner product similarity” to quantitatively formalize such principle for similarity measurement.
A Review OAuth-based Authorization Service Architecture in IoT Scenarios
Authors: Singh Krittika KD , Jain Anurag
Published: June 2018

OAuth 2.0 protocol has enjoyed wide adoption by on-line Social Network (OSN) suppliers since its origination. Though the safety guideline of OAuth two.0 is well mentioned in RFC6749 and RFC6819, many real-world attacks because of the implementation speciVcs of OAuth 2.0 in varied OSNs are discovered. According to our information, previously discovered loopholes square measure all supported the misuse of OAuth and many of them deem supplier facet or application facet vulnerabilities/faults on the far side the scope of the OAuth protocol. It was generally believed that correct use of OAuth two.0 is secure. During this paper OAuth is studied with its varied aspects and characteristics.
Cyber Security in Smart Grid System
Authors: Jaysawal Anoop
Published: June 2018

Abstract: The smart grid is an evolution of the electrical grid to respond to these challenges. A smart grid is an energy transmission and distribution network enhanced through digital control, monitoring, and telecommunications capabilities. It provides a real-time, two-way flow of energy and information to all stakeholders in the electricity chain, from the generation plant to the commercial, industrial, and residential end user. This evolution is crucial for integrating both renewable and distributed energy resources and to improve the efficiency and sustainability of the electrical grid and associated services. It will also help in other ways, such as enabling:•      Smart and positive energy infrastructures•      Increased energy density management during peaks•      Real-time pricing to customers•      Integrated mobility services•      New virtual power plants•              Micro grid
Network Sniffer-remote Activation and Control of the PC via another PC Over the Network
Authors: Shruthi M. , .A Subash Chandar
Published: June 2018

NETWORK SNIFFER is a powerful and feature full monitoring tool for Windows. It works as a Windows Service and check system status and provides information regarding available services, running services, stopped services, available drivers, stopped drivers, running drivers utilizes and other administrator tasks. It's developed with Visual Basic .NET 2008 and used WMI (Windows Management Instrumentation). It crawls over the network for, but can be made to start manually with some configuration settings. IMS not only provides a feature to monitor the system but also provides the administrators to configure different areas of the system
DIGITAL PHILOSOPHY
Authors: Sadiku Matthew N. O. , Tembely Mahamadou , Musa Sarhan M.
Published: June 2018

The digital revolution has had profound effects on the society in general and on philosophy in particular. Digital philosophy is part of the emerging field of digital humanities.  It is transforming some of previously unquestioned philosophical concepts of belief, experience, knowledge, intelligence, cognition, value, truth, reality, and responsibility, and privacy. This paper provides a brief introduction into digital philosophy.
An Enhancement of Feature Selection Algorithm for EDM: A Review
Authors: Kaur Manpreet , Singh Chamkaur
Published: June 2018

Educational Data Mining (EDM) is an emerging research area help the educational institutions to improve the performance of their students. Feature Selection (FS) algorithms remove irrelevant data from the educational dataset and hence increases the performance of classifiers used in EDM techniques. This paper present an analysis of the performance of feature selection algorithms on student data set. .In this papers the different problems that are defined in problem formulation. All these problems are resolved in future. Furthermore the paper is an attempt of playing a positive role in the improvement of education quality, as well as guides new researchers in making academic intervention.
DdoS Attack Detection on Cloud Environment in Wireless Sensor Network: A Review
Authors: Kaur Amarjeet , Kaur Gagandeep , Kaur Gagandeep
Published: June 2018

In this sense, DoS, particularly DDoS, undermines the Internet, as well as debilitates the common security, because of its predominant utilization in digital wrongdoings. Accordingly to see well the attributes of DDoS issues and examine comparing protection instruments have noteworthy commitments for the scholarly world and industry, as well as for the government disability and crisis administration organizations, since they can utilize such learning to upgrade their capacities of hazard appraisals and help the partners to settle on suitable choices when confronting DDoS dangers. In the current research work the diverse sorts of issues, such viewpoint as far as distinguishing DoS assaults is to see the issue as that of a grouping issue on arrange state (and not on singular bundles or different units) by demonstrating ordinary and assault activity and characterizing the momentum condition of the system as great or terrible, in this way identifying assaults when they happen. Another is the Transmission disappointments or due date misses may bring about unsettling influences to the procedure, debasement of the general control execution. In future All these are settled with the assistance of a DDoS assault location and DSR Algorithm with Cryptography on Wireless Sensor organize and the WSN with BS, CH
A Study of Node.js Using Injection Vulnerabilities
Authors: Srivastava Tushar , Pandey Ashutosh , Khan Rizwan
Published: June 2018

The Node.js community has prompt the making of numerous applications, for example, server-side web applications and work area applications. Not at all like client side JavaScript code, Node.js applications can collaborate uninhibitedly with the working framework without the advantages of a security sandbox. The mind boggling exchange between Node.js modules prompts unobtrusive infusion vulnerabilities being presented crosswise over module limits. This paper displays a substantial scale consider crosswise over 235,850 Node.js modules to investigate such vulnerabilities. We demonstrate that infusion vulnerabilities are predominant practically speaking, both due to eval, which was already examined for program code, and because of the effective executive API presented in Node.js. Our investigation demonstrates that a great many modules might be helpless against charge infusion assaults and that notwithstanding for prominent undertakings it requires long investment to settle the issue.
Software Piracy: A Primer
Authors: Sadiku Matthew N. O. , Tembely Mahamadou , Musa Sarhan M.
Published: June 2018

Due to increasing use of computer and the Internet, there has been a rise in illegal copying of software. Software piracy is the unlawful reproduction and distribution of software. The ease with which software is pirated is creating a vexing problem for software publishing industry. Today software piracy is costing software industry billions of dollars annually in lost revenues. It may even force some companies to go out of business. This paper provides a short introduction to software piracy.
Performance Comparison of MANET, VANET and FANET
Authors: Sahu Aarti , Shrivastava Laxmi
Published: June 2018

A wireless ad hoc network is a decentralized kind of wireless network. It is a kind of temporary Computer-to-Computer connection. It is a spontaneous network which includes mobile ad-hoc network (MANET), vehicular ad-hoc network (VANET) and Flying ad-hoc network (FANET). Mobile Ad Hoc Network (MANET) is a temporary network that can be dynamically formed to exchange information by wireless nodes or routers which may be mobile. A VANET is a sub form of MANET. It is an technology that uses vehicles as nodes in a network to make a mobile network. FANET is an ad-hoc network of flying nodes. They can fly independently or can be operated distantly. In this research paper Fuzzy based control approaches in wireless network detects & avoids congestion by developing the ad-hoc fuzzy rules as well as membership functions.In this concept, two parameters have been used as: a) Channel load b) The size of queue within intermediate nodes. These parameters constitute the input to Fuzzy logic controller. The output of Fuzzy logic control (sending rate) derives from the conjunction with Fuzzy Rules Base. The parameter used input channel load, queue length which are produce the sending rate output in fuzzy logic. This fuzzy value has been used to compare the MANET, FANET and VANET in terms of the parameters Throughput, packet loss ratio, end to end delay. The simulation results reveal that usage of Qual Net 6.1 simulator has reduced packet-loss in MANET with comparing of VANET and FANET.
Route Searching using Modified k-Nearest Neighbor with Hill Climbing over Trajectories
Authors: Gupta Vineet Kumar , Yadav Sriram
Published: June 2018

Optimal planning for public transportation is one of the keys to sustainable development and better quality of life in urban areas. Based on mobility patterns, propose a localized transportation mode choice model, with which we can dynamically predict the bus travel demand for different bus routing. This model is then used for bus routing optimization which aims to convert as many people from private transportation to public transportation as possible given budget constraints on the bus route modification. It also leverages the model to identify region pairs with flawed bus routes, which are effectively optimized using our approach. To validate the effectiveness of the proposed methods, extensive studies are performed on real world data collected in Beijing which contains 19 million taxi trips and 10 million bus trips. GPS enables mobile devices to continuously provide new opportunities to improve our daily lives. For example, the data collected in applications created by Ola, Uber or Public Transport Authorities can be used to plan transportation routes, estimate capacities, and proactively identify low coverage areas. Now, study a new kind of query – Modified k-Nearest Neighbor Search with Hill Climbing (MkNNHC), which can be used for route planning and capacity estimation. Given a set of existing routes DR, a set of passenger transitions DT, and a query route Q, an MkNNHC query returns all transitions that take Q as one of its k nearest travel routes. To solve the problem, we first develop an index to handle dynamic trajectory updates, so that the most up-to-date transition data are available for answering an RkNNT query. Then introduce a filter refinement framework for processing MkNNHC queries using the proposed indexes. Experiments on real datasets demonstrate the efficiency and scalability of our approaches.
Eksistensi Usaha Kecil Menengah dan Pasar Tradisional dalam Kebijakan Pengembangan Pasar Modern
Authors: Dakhoir Ahmad
Published: July 2018

The growing rapidly of modern market in the mid of traditional markets and Small Medium Enterprises has not become energy and instruments in the development of people's economy in Indonesia. The number of modern retailers should also be utilized by small medium businessmen. This paper is aimed at explaining the existence of Small Medium Enterprises (SMEs) and traditional markets amid the rapidly development of modern market. The dynamic is also felt by SMEs and traditional markets in Palangkaraya Town, Central Kalimantan. The method of this study uses descriptive qualitative approach. The object of study is all markets / modern stores and traditional markets in Palangka Raya Town. Based on the results of the analysis, this study reveals that the establishment of modern stores in Palangka Raya Town has a positive impact in the Palangka Raya Town. It becomes one of the factors encouraging the social and economic growth of the city. While the negative impact is that it threatens the resilience of traditional shops / markets and the similar small businesses and it can trigger social vulnerability (unharmonious).
Uso de la técnica CLARITY para la identificación de marcadores fluorescentes en cortes gruesos de la médula espinal
Authors: Sisti María Susana , Nishida Fabián , Zanuzzi Carolina N , Portiansky Enrique Leo
Published: June 2018

El estudio de las interconexiones que establecen las neuronas entre sí o con las células de la glía es uno de los mayores desafíos de la neurociencia. Los anticuerpos fluorescentes permiten la identificación y localización de diferentes estructuras tisulares. Sin embargo, su uso eficiente requiere de la utilización de cortes delgados de muestras, que constituyen una limitación para el estudio de las interconexiones en el sistema nervioso. Asimismo, un mayor espesor de la muestra limita la penetración de la luz emitida por el microscopio, mientras que la opacidad propia del tejido nervioso debida a su alto contenido lipídico dificulta la adquisición de las imágenes al restringir la resolución de los objetos. La técnica CLARITY (del inglés, Clear, Lipidexchanged, Acrylamidehybridized Rigid, Imaging/Immunostaining/In situ hybridizationcompatible, Tissue hYdrogel) permite subsanar estos inconvenientes. Esta técnica fue adaptada en nuestro laboratorio para el estudio de la médula espinal de rata. De acuerdo con el procedimiento realizado, pudimos obtener un órgano completamente translúcido, estructuralmente intacto y que permitió su procesamiento mediante técnicas de inmunofluorescencia y de lectinhistoquímica sin mayores dificultades. A partir de muestras de más de 1 mm de espesor se obtuvieron imágenes confocales de gran resolución y de mayor penetrabilidad que las que se obtienen utilizando las técnicas de procesamiento convencionales. La implementación de esta técnica en nuestro laboratorio permitirá optimizar la información obtenida a partir de muestras de interés.
Coccidioidomicosis en caninos y felinos: hallazgos clínicos, diagnóstico y tratamiento
Authors: Martínez Cepeda Galo Ernesto , Revelo Ruales Paola
Published: June 2018

La coccidioidomicosis es una enfermedad endémica de las zonas áridas de América. Se han identificado dos especies de este género, Coccidioides immitis y Coccidioides posadasii. La variedad de especies susceptibles, incluyendo a los humanos, hace que su diagnóstico tenga una gran relevancia. Esta enfermedad no presenta una sintomatología específica que facilite su identificación. Tanto en caninos como en felinos, se puede presentar como una enfermedad pulmonar leve o una enfermedad multisistémica diseminada que puede causar la muerte. El diagnóstico se basa en el hallazgo histopatológico de microabscesos (frescos) en muestras del tracto respiratorio u otros órganos con la respectiva identificación de esférulas que contengan endosporas. No obstante, a causa del desafío que representa su diagnóstico sobre todo en regiones donde no es endémica, es necesario recurrir a pruebas complementarias, como el cultivo y aislamiento, bajo las condiciones de bioseguridad adecuadas, y una posterior confirmación mediante pruebas moleculares.