bluuebunny/crossref_metadata_2025 huggingface dataset:
Data Analysis of the Moxtra Application
Authors: Singh Navninderjit , Tng Crystaal , Martinz Karlla
Published: June 2018

This paper will explain the importance of a digital forensic analysis and the different sections that it contains. This is to highlight the importance of the information that can be discovered through performing a digital forensic analysis. There is also a description of the Moxtra application to explain what the application is used for and its different capabilities. Following that, the paper will dive into the problem statement that it will research. Then, it will describe the methodology used to solve the problem statement. It will provide details of the test cases and results that were retrieved after performing the cases. Finally, it analysis the results and provides a conclusion.
Monitoring and Prediction of Air Quality using Neural Network
Authors: Raipure Shwetal
Published: June 2018

Air Quality monitoring is very important in today s world. There are many harmful pollutants present in the air which are very harmful for human health. Prolonged consumption of such air may lead to severe death and harmful diseases. It is also harmful for crops as well as animals which may damage natural environment. There are  several pollutants which are present in the air that decreases the quality of air such as sulfur oxide, nitrogen dioxide, carbon monoxide and dioxide, and particulate matter. Neural Network  can be used for prediction of population for short term as well as long term using a deep learning technologies. Neural network specify two types of predictive models. the first one is the a temporal which is for short-term forecast of the pollutants in the air for the short coming or nearest days and the second one is  a spatial forecast of atmospheric pollution index in any point of city. The artificial neural networks takes initial information and consider the hidden dependencies are used to improve the efficiency and accuracy of the ecology management decisions. In this paper the forecasting of atmospheric air pollution index in industrial cities based on the  neural network model has proposed.
Reversible N-grams Stemming Stripping Algorithm for Classification of Text Data
Authors: Periyasamy A R. Pon
Published: June 2018

Abstract—Stemming methods traces the root or stem of a word that is possibly used for Information retrieval (IR) tasks for increasing the recall rate to enhance most relevant searches. There are numerous ways ranging from manual and automatic, language dependent to language independent of methods available for performing the task of stemming. Those algorithms are designed for the purpose of overcoming the challenges involved with the existing methods. This paper represents a comparative study of various available stemming algorithms widely used to enhance the effectiveness and efficiency of information retrieval.
A Review on Multiple Layer Security of Cloud Server
Authors: Kumar Sanjeev , Kumar Mukesh
Published: June 2018

Cloud services[1] are offering flexible & scalable services. But there is always issue of security. When data is transferred from centrally located server storage to different cloud compromise of person & private data would increase.  There is always risk to confidentiality & availability of data prior to selecting a cloud vender or choosing own cloud & cloud service migration. Cloud services usually have their security concerns that must be addressed. In this paper we have discussed threats to cloud service & data in case of conventional security system & modern security system & proposed an idea to secure data on cloud using multiple layers of security.
Punjabi Pos Tagger: Rule Based and HMM
Authors: Singh Umrinderpal , Goyal Vishal
Published: June 2018

The Part of Speech tagger system is used to assign a tag to every input word in a given sentence. The tags may include different part of speech tag for a particular language like noun, pronoun, verb, adjective, conjunction etc. and may have subcategories of all these tags. Part of Speech tagging is a basic and a preprocessing task of most of the Natural Language Processing (NLP) applications such as Information Retrieval, Machine Translation, and Grammar Checking etc. The task belongs to a larger set of problems, namely, sequence labeling problems. Part of Speech tagging for Punjabi is not widely explored territory. We have discussed Rule Based and HMM based Part of Speech tagger for Punjabi along with the comparison of their accuracies of both approaches. The System is developed using 35 different standard part of speech tag. We evaluate our system on unseen data with state-of-the-art accuracy 93.3%.
Fraud Detection through Modified K Means Clustring in Social Media
Authors: Ahuja Mini Singh , Singh Lovepreet
Published: June 2018

Social media is expanding day by day. With advancement in technology users can interact with each other through social media. Companies sell their products by publicizing their product on social media. Users and vendors of social media are expanding with the rate of knots. Users are of varying intensions. Some users (consumers) and vendors are malicious in nature.
Recognition of Birds in Blurred and Illumination Images by Local Features
Authors: .M Suresha , Sandeep .
Published: June 2018

Local features are of great importance in computer vision. It performs feature detection and feature matching are two important tasks. In this paper concentrates on the problem of recognition of birds using local features. Investigation summarizes the local features SURF, FAST and HARRIS against blurred and illumination images. FAST and Harris corner algorithm have given less accuracy for blurred images. The SURF algorithm gives best result for blurred image because its identify strongest local features and time complexity is less and experimental demonstration shows that SURF algorithm is robust for blurred images and the FAST algorithms is suitable for images with illumination.
Study of Various Multi Keyword Search in Cloud Computing
Authors: Pardesi Hitesh , Kumari Naveen
Published: June 2018

With the approach of cloud computing, information proprietors are persuaded to outsource their unpredictable data management frameworks from nearby places to the business open cloud for efficient adaptability. Accordingly, empowering a scrambled cloud information look administration is of vital significance. Considering the huge number of information clients and archives in the cloud, it is important to permit different watchwords in the hunt demand and return reports in the request of their pertinence to these catchphrases. Related chips away at searchable encryption concentrate on single watchword hunt or Boolean catchphrase seek, and once in a while sort the list items. In this paper, surprisingly, we characterize and take care of the testing issue of protection safeguarding multi-catchphrase positioned seek over encoded information in distributed computing (MRSE).
Content Delivery Networks – A Survey
Authors: Dhanalakshmi S. , Prabakaran T. , Kishore Krishna
Published: June 2018

Content Delivery Network is a network of servers hosted by a service provider in multiple locations of the world so that the content could deliver from a server that is nearest to the consumer requesting for it. It has evolved to overcome the inherent limitations of the internet regarding user perceived Quality of Service (QoS) when accessing the Web Content. It has been proposed to maximize bandwidth, improve accessibility and maintain correctness through content replication. The content is distributed to cache servers and located close to the users, resulting in fast, reliable applications and web services for the users. In this paper we provide a components, technologies and comprehensive taxonomy with a broad coverage of CDNs regarding the organizational structure, content distribution mechanisms, request redirection techniques, and performance measurement methodologies.
Smart Driving System for Improving Traffic Flow
Authors: Gupta Rajesh Kumar , Padhy L. N. , Padhi Sanjay Kumar
Published: June 2018

Traffic congestion on road networks is one of the most significant problems that is faced in almost all urban areas. Driving under traffic congestion compels frequent idling, acceleration, and braking, which increase energy consumption and wear and tear on vehicles. By efficiently maneuvering vehicles, traffic flow can be improved. An Adaptive Cruise Control (ACC) system in a car automatically detects its leading vehicle and adjusts the headway by using both the throttle and the brake. Conventional ACC systems are not suitable in congested traffic conditions due to their response delay.  For this purpose, development of smart technologies that contribute to improved traffic flow, throughput and safety is needed. In today’s traffic, to achieve the safe inter-vehicle distance, improve safety, avoid congestion and the limited human perception of traffic conditions and human reaction characteristics constrains should be analyzed. In addition, erroneous human driving conditions may generate shockwaves in addition which causes traffic flow instabilities. In this paper to achieve inter-vehicle distance and improved throughput, we consider Cooperative Adaptive Cruise Control (CACC) system. CACC is then implemented in Smart Driving System. For better Performance, wireless communication is used to exchange Information of individual vehicle. By introducing vehicle to vehicle (V2V) communication and vehicle to roadside infrastructure (V2R) communications, the vehicle gets information not only from its previous and following vehicle but also from the vehicles in front of the previous Vehicle and following vehicle. This enables a vehicle to follow its predecessor at a closer distance under tighter control.
A Comparative Study of Different Machine Learning Algorithms for Disease Prediction
Authors: Romana Anantvir Singh
Published: June 2018

Accurate diagnostic detection of the disease in a patient is critical and may alter the subsequent treatment and increase the chances of survival rate. Machine learning techniques have been instrumental in disease detection and are currently being used in various classification problems due to their accurate prediction performance. Various techniques may provide different desired accuracies and it is therefore imperative to use the most suitable method which provides the best desired results. This research seeks to provide comparative analysis of Support Vector Machine, Naïve bayes, J48 Decision Tree and neural network classifiers breast cancer and diabetes datsets.
Electronic Commerce - Electronic Data Interchange (EDI) and Alternative Dispute Resolution (ADR)
Authors: Zafar Rimsha , Khan Shayan , Rajput Ankur
Published: June 2018

E‐commerce is one of the applications of various technologies of communication to provide the exchange of automated business information. The present scenario requires an approach where the paper is replaced with technology and giving rise to EDI (Electronic data interchange). Alternative Dispute Resolution (ADR) is a mode of resolving legal disputes in online medium. The requirement of this mode is both in the business world as well as common men that requires timely justice. To so.lve the delayed justice problem and helping out people in all domains ADR plays a very important role. The project report discusses on the concept of EDI, the various processes and steps involved in EDI. The standardized formats and types of EDI have also been discussed with a case study. The drawbacks and benefits have also been listed and how does the business world look forward for growth in EDI and explanation of ADR and comparing two models named as virtual magistrate project and Wipo.
Modeling on Eco-System Consisting of Two Hosts-One Commensal with Mortality Rates for the Second and Third Species
Authors: Prasad B. Hari , Ram M. Sunder
Published: June 2018

In this paper, the system comprises of two hosts S1, S2 and one commensal S3 ie., S1 and S2 both benefit S3, without getting themselves affected either positively or adversely. Further, S1 and S2 are neutral. Here all the three species posses limited resources. The model equations constitute a set of three first order non-linear simultaneous differential equations. Criteria for the asymptotic stability of all the eight equilibrium states are established. The system would be stable if all the characteristic roots are negative, in case they are real, and have negative real parts, in case they are complex. The global stability of the system is established with the aid of suitably constructed Liapunov’s functions and the numerical solutions for the growth rate equations are computed using Runge-Kutta fourth order scheme.
An Overview of Statistical Machine Translation Tools
Authors: Aadil Mir , Asger M.
Published: June 2018

The process Machine translation is a combination of many complex sub-processes and the quality of results of each sub-process executed in a well defined sequence determine the overall accuracy of the translation. Statistical Machine Translation approach considers each sentence in target language as a possible translation of any source language sentence. The possibility is calculated by probability and as obvious, sentence with highest probability is treated as the best translation. SMT is the most favoured approach not only because of its good results for corpus rich language pairs, but also for the tools that  SMT approach has been enhanced  with in past two and half decades. The paper gives a brief introduction to SMT:  its steps and different tools available for each step.
Effectiveness of Ant Colony Optimization for Weighted Page Rank Algorithm in Web Access
Authors: Mylsami T. , Shivakumar B. L.
Published: June 2018

In general the web is growing very rapidly and data generation is also vast and high. Search Engines play an eminent role in retrieving data from web. The user searching for a topic in a web and it retrieves more than hundreds of searchresults as websites. Among the all websites it is difficult for the user to access all the web pages to find relevant information. Weighted Page rank algorithms play a dominant role to make navigation easier to the user. The popularity of a web page depends on the number of its in links and out links and each webpage gets a proportional page rank value. This algorithm considers only link structure not thecontent of the page, so it returns lesssignificant pages to the user query. To overcome the above issues the study focuses on Ant Colony optimization. This study proposes application of ant colony algorithm for modified weighted page rank algorithm. The ACO concept will discovery of redundant components, use clustering based on the structure similarity or web behavior for user and similar WebPages matching. User and webpage similarity matching using Ant colony Optimization based clustering will leads to better access of the webpage in less time and required webpage.
Mentoring Programs for Knowledge Convey in a Small Software Industries
Authors: Naidu Murali Krishna , Divakar Ch.
Published: June 2018

Small programming consultancy organizations need to use their position in the market to remain in front of their rivals. Keeping in mind the end goal to survive, the arrangements gave by their experts must be of such quality that makes their clients come back to the organization when they require help with another venture, and the arrangements ought to guarantee a decent notoriety for the organization that draws in new clients. To guarantee high caliber in the frameworks created, organizations are subject to a decent programming improvement process. The principle parts of this procedure can be arranged out ahead of time and utilized on the whole in a firm with a specific end goal to guarantee quality, yet in each venture you will most likely keep running into circumstances where it is imperative to have the capacity to extemporize so as to keep the venture on tracks. This is particularly valid for little programming escalated organizations in turbulent conditions.
A Comparison of Phrase Based and Word based Language Model for Punjabi
Authors: Singh Umrinderpal
Published: June 2018

A language model provides connection to the decoding process to determine a precise word from several available options in the information base or phrase table. The language model can be generated using n-gram approach. Various language models and smoothing procedures are there to determine this model, like unigram, bigram, trigram, interpolation, backoff language model etc. We have done some experiments with different language models where we have used phrases in place of words as the smallest unit. Experiments have shown that phrase based language model yield more accurate results as compared to simple word based mode. We have also done some experiments with machine translation system where we have used phrase based language model rather than word based model and system yield great improvement.
Provide an Approach to Development and Security Preparation Forensic
Authors: Rashed Reza Sadeghi , Lame Mohammad Bagher Mohammadi
Published: June 2018

In the world, despite the efforts sparse for the use of information and communication technologies in some industries and businesses carried out, due to the lack of capacities and infrastructure required, preparation Forensic, causing a sharp drop in the performance of investments undertaken and the lack of benefits of ICT and mistrust and insecurity in And the vulnerability of information assets. In this regard Forensicpreparation assessment models provide the most help in understanding the status quo. Elements such as access mechanism, event tags, structure, communication systems and operating systems, intrusion detection systems, standards for data collection run by technical and non-technical factors affect protection of witnesses and the time this location. In this paper, according to the progress of society in the field of computer networking vacuum talk Forensic and preparedness in this area due to the emergence of e-government, there is discussed that requires the review process liable to digital evidence is in case any thing happened to information assets to risk losing assets and lowered consumer expenditure in this area to ensure future Forensic assets.
Optimizing Storage Space for Higher-Dimensional Data Using Feature Subset Selection Approach
Authors: Augustine Donia
Published: June 2018

As applications producing data of higher dimensions has increased tremendously, clustering of data under reduced memory became a necessity. Feature selection is a typical approach to cluster higher dimensional data. It involves identifying a subset of most relevant features from the entire set of features. Our approach suggests a method to efficiently cluster higher dimensional data under reduced memory. An N-dimensional feature selection algorithm, NDFS is used for identifying the subset of relevant features. The concept of feature selection helps in removing the irrelevant and redundant features from each cluster. In the initial phase of NDFS algorithm features are divided into clusters using graph-theoretic clustering methods. The final phase of the algorithm generates the subset of relevant features that are closely related to the target class. Features in different clusters are relatively independent. In particular, the minimum spanning tree is constructed to efficiently manipulate the subset of features. Traditionally, feature subset selection research has focused on searching for relevant features. The clustering based strategy of NDFS have a high probability of producing a subset of useful and independent features.
A Review on Deep Drawing Process
Authors: Swapna D. , Rao Ch, Srinivasa , Radhika S.
Published: June 2018

Deep Drawing (DD) process is the one in which a punch forces a flat sheet metal blank into a die cavity.  DD can also be described as the process which involves conversion of flat thin sheet metal blanks into parts of desired shape. Little work is available in the applications of DD processes at elevated temperatures which is going to be a very important manufacturing application in the coming decades. Deep Drawing (DD) is one of the sheet metal forming processes widely used in automobile, aerospace, electronics and allied industries to produce the hollow parts. The improvement in the deep drawing manufacturing process with latest methodologies leads to developments in the automobile and other sheet metal industries. Still today, this process of analysis and design is an art than science. Presently, the conventional deep drawing (CDD) operation is carried out at room temperature in industries. Although the deep drawing process of high strength / low formability metals has an extensive industrial application area, deep drawing at room temperature has serious difficulties because of the large amount of deformations revealed and high flow stresses of the materials. The present paper gives an overview of deep drawing process, its classification along with advantages, limitations and applications.
HULK and DDoS Attacks in Web Applications with Detection Mechanism
Authors: Sharma Amit
Published: June 2018

Distributed Denial of Service attacks are significant dangers these days over web applications and web administrations. These assaults pushing ahead towards application layer to procure furthermore, squander most extreme CPU cycles. By asking for assets from web benefits in gigantic sum utilizing quick fire of solicitations, assailant robotized programs use all the capacity of handling of single server application or circulated environment application. The periods of the plan execution is client conduct checking and identification. In to beginning with stage by social affair the data of client conduct and computing individual user’s trust score will happen and Entropy of a similar client will be ascertained. HTTP Unbearable Load King (HULK) attacks are also evaluated. In light of first stage, in recognition stage, variety in entropy will be watched and malevolent clients will be recognized. Rate limiter is additionally acquainted with stop or downsize serving the noxious clients. This paper introduces the FAÇADE layer for discovery also, hindering the unapproved client from assaulting the framework.
It’s the Time to Assess the Quality of National CSR
Authors: Sitanggang Eva Rianty Angelina , . Basuki , Narsa I Made
Published: June 2018

Most companies in the implementation of social responsibility using a number of the company's budget for pro-social activities and philanthropy. Cited from some previous research that factors are more expressed in CSRD (Corporate Social Responsibility Disclosure) is human resources and community involvement while Environmental disclosure still require more attention. Not concern in environmental issues will threat the sustainability of the environmental and community life itself. Some economists realized that the quality of the environment has an inverse relationship (trade-off), which means that efforts to accelerate economic growth will be followed by the environmental damage due to the depletion of natural resources and environmental degradation. The level of public awareness and businesses respond to the needs of nature conservation with an efficient use of resources is still very varied across the country. It is believed to be due to differences in the level of competitiveness across countries. The level of competitiveness is associated with innovation, skills (Fagerberg, 1996) and technology (Eisdofer and Hsu, 2011). Developed countries have a higher level of competitiveness compared with developing countries and some research suggests the implementation of CSR in developed countries is better when compared to developing countries. Companies are operating in the hightech industry has the opportunity to become the market leader, but this does not guarantee a high quality of CSR activities in that countries. To date, there has not been much research on measuring the quality of CSR. This study offers a measurement of the National CSR Index Quality for mining and metal sector. Researchers considered that the measure of quality for each business sector is not the same. This study uses content analysis of the aspects listed companies based on the quality criteria set out in this study.
An Opinion Survey on User Interface Design of Web Learning System
Authors: Saravanan T. , Nagadeepa N.
Published: June 2018

The aim of this research paper is to study the user interface design of web learning system. This paper also analyzes the opinion of the users to improve the current web learning system. There are many web learning portals are available to the learners with and without pay and learn option. But the user interface design of the web learning system has no specific standards. There are many possibilities to improve the current system. User generated content is a new area to explore and study. The users of the system can give an opinion and also able to modify some design aspects according to their preferences and likes. In this research paper, we have studied two different web learning systems and its design aspects. Cognitive aspects and the flexibility of the design plays a very important role in learning. Cloud sharing and downloading time play a very vital role in learners’ preferences. Many free course learners withdraw learning modules due to the pure connectivity from the cloud learning environment. Web design principles, color principles, basic design principles and user interface design considerations should be studied and applied to create a well-constructed user-friendly environment.User generated and user participated design plays a very important role in the effectiveness of learning.
A Study of Different Methodologies Helpful in the Identification of Offline Handwritten Script
Authors: Kayasth Manish M. , Patel Bharat C.
Published: June 2018

The entire character recognition system is logically characterized into different sections like Scanning, Pre-processing, Classification, Processing, and Post-processing. In the targeted system, the scanned image is first passed through pre-processing modules then feature extraction, classification in order to achieve a high recognition rate. This paper describes mainly on Feature extraction and Classification technique. These are the methodologies which play an important role to identify offline handwritten characters specifically in Gujarati language. Feature extraction provides methods with the help of which characters can identify uniquely and with high degree of accuracy. Feature extraction helps to find the shape contained in the pattern. Several techniques are available for feature extraction and classification, however the selection of an appropriate technique based on its input decides the degree of accuracy of recognition.
GUI Test Script Repair in Regression Testing
Authors: Priya G. Geetha , Rao B. Narendra Kumar
Published: June 2018

GUI testing is a process of testing a software application or functionality of GUI. It is defined as an interface between user and software which provides an easy way to interact with the system. GUI plays an important role in software engineering. GUI-based application requires that a test case consists of sequences of user actions/events to be executed. Selenium is an open-source tool for testing GUI Application by executing test cases whether the GUI Application is working properly or not. In this, we present test script repair technique to repair test cases. Test script repair technique uses reverse engineering process for creating the test script. Test script repair consists of three stages; they are Ripping, Mapping and Repairing. In ripping stage, there are two relationships for representing event interaction of GUI Application. During ripping we know the location of each widget. In mapping stage,original GUI events are mapped to an event-flow graph (EFG). In repairing stage, Event flow graph uses repairing transformations and human input to modified script to repair the test cases, and synthesizes a new “repaired” test script. During this process, test script repair uses GUI objects for yielding a final test script that can be executed using selenium tool to validate the GUI Application. An experiment using selenium tool to test, test cases suggests that it is effective in that unusable test scripts are repaired. Annotations significantly reduced the human cost to repair test cases.
Investors Perception and Satisfactions Levels towards Mutual funds in Rayalaseema Region of Andhra Pradesh
Authors: Sineni Geetha , Reddy S. Siva
Published: June 2018

Mutual Fund has emerged as a tool forconfirming one’s financial security. As statistics and awareness arerising, more and more people are enjoying the benefits of investing in mutual funds. Mutual funds have originated in the USA and have become so popular that they have almost overtaken the bank deposits and total assets of insurance funds. In India, the Mutual Fund industry had its origin with the establishment of UTl Mutual funds have all come forward with different schemes suitable to the need of saving populace.It is in the backdrop of some of these encouraging statistics that the Indian mutual fund industry has fostered itself. Since 1990 were when the mutual fund space unlocked up to the private sector, the industry has gone through a long path, adapting itself continuously, to the changes that have come along. Progress in Assets Under Management (AUM) veteran has been exceptional, growing at a CAGR(Compound Annual Growth Rate) of 34% over the last four years the sale of mutual funds has recovered over the last few quarters, which implies regained assurance of stakeholders, endeavoring to look at alternate investment opportunities and any consequent higher returns, though the markets continue to be changing. The objectives of the study are to identify the rural and semi-urban investor's perceptions on mutual funds and to analyse the satisfaction level of investors in Rayalaseema region of Andhra Pradesh. By adopting convenience sampling, 600 respondents living in four districts of Rayalaseema (Anantapuram, Chittoor, Kurnool, and YSR Kadapa) were selected for this study. Simple statistical tools are used for analysing the data whatsoever collected in this study. The outcomes of the study have importantsuggestionsfor mutual fund companies. Considerate of semi-urban and rural areas investor's perception is asignificant task for the asset managers to be effective in facing many tasks and prospects.
A Novel Hybrid Encryption Method for Multimedia Encryption Using Elliptic Curve Cryptography and TDMRC
Authors: M Sreekala , Paul Varghese
Published: June 2018

We are in the era of digital revolution and the benefits are remarkable. People are much dependent on digital technology and can’t survive without it. With the advancement of Internet and its applications, we share a wide range of data including texts, images, audios and videos in a more extensive space and time scope that we never had before. This increases the need for security day by day. Cryptography is an art of Science that uses complex logic in order to design powerful encryption techniques. Both symmetric and asymmetric key encryptions have their own advantages. Time Dependant Multiple Random Cipher(TDMRC) code is one of the best symmetric encryption schemes. Elliptic curve cryptography(ECC) is widely used because of its less key size and faster key generation. This paper proposes a new method of hybrid encryption method using ECC and TDMRC.
Can Financial Indicators be used to Measure the Competitive Advantages and Sustainability in Business Companies Listed in Palestine Financial Market?
Authors: Darwish Marwan J. , Ghanem Fathallah A.
Published: June 2018

The aim of this study is to figure out the status of Palestinian industrial and Service Company’s possession of competitive advantages and sustainability. Research sample consist of fourteen companies of which seven industrial companies and seven service companies listed in Palestine Financial Market. Industrial and service companies showed a real challenges in achieving competitive advantages and maintaining their level of sustainability, as VOIC was the leading company in the selected industrial companies followed by JPH, whereas BOP, PIB, and PALTEL showed a healthy presentation towards competitive advantages and sustainability. On the other hand PPI in the industrial companies proved to face serious obstacles that might exit this company from the era of business, while AHC, WASEL, and WATANIYA showed critical issues towards competitive advantages and sustainability in the service sector.  The research found many conclusions both theoretically and practically, the most important as far as the calculated mean average is concern: all companies are trying hard in seeking and maintaining possession of competitive advantages and work on sustainability. While the weak point was in the service companies to achieve competitive advantages and sustaining mechanisms in the market. The research has provide several recommendations of which was the successful and healthy image some companies showed, therefore all companies listed in Palestine Financial Market need to continue on the issues of innovation and entrepreneurship, which leads to the innovation of new services and products which limit the ability of competitors to do with tradition, and to achieve the companies’ ability to satisfy the demand in a timely manner, shaping it to customer need and expectation, especially after customers became the focal point of any industry and his voice should be heard and attained as customers has a reflection on the achievement of revenue and profits that could contribute to companies competitive advantages and sustainability.
Fecundity and Gonado-somatic Index of Trichiurus lepturus (Linnaeus, 1758) Along the Zamboanga del Norte Coast
Authors: Guillena Ma. Dulce C.
Published: June 2018

Gonado-somatic index and fecundity are tools for measuring the sexual maturity and ability of animals to reproduce.  This study investigates the reproduction of Trichiurus lepturus. Specifically, this aimed to determine the sex ratio, the GSI, the relationship between fecundity and total length, fecundity and total weight, fecundity and ovary weight. The Descriptive Method of research was used.  Percentage and chi-square was utilized in determining the percentage of occurrence and sex ratio respectively.   Pearson r Product Moment Coefficient of Correlation was used to determine the relationships of the parameters. The study revealed that females outnumbered males and the sex ratio for different month showed significant difference.  Spawning season was observed to occur in November and December as revealed in its GSI values and it synchronized with the full and new moon phases.  Fecundity is positively correlated with body weight, body size, and ovary weight where ovary weight is observed to be the best index for fecundity.  The results of this study could be used further for formal stock assessment of cutlassfish fishery.
Viral Marketing -Analysis and its Implementation
Authors: G Naveen
Published: June 2018

Viral marketing has emerged as an important concept in India as in other parts of the developing and developed countries and has become a necessary tool for every organization. Although there is increasing popularity among viral marketing, factors influencing to such a new communication medium, remains largely unknown. Hotmail has become one of the first to exploit online viral marketing since its email service was launched in the late 1990s, when every outgoing email contained a short message at the bottom with a link for people to click and sign up. In 1996, Steve and Tim also took advantage of viral marketing as a new phenomenon to promote the adoption of Hotmail, a free web-based e-mail service provider, and viral marketing launched this e-mail system from zero to 12 million subscribers in only18 months at very little cost (Shukla, 2010). Viral marketing has attained a large growth in popularity in last few years. This paper attempt to study the perception of the internet users on viral marketing and the role of social media on the growth of viral marketing Business firm have risen to occasion and have started responding to environmental challenge by practicing viral marketing strategies.
Study on GFRP Reinforced Beams under Flexure
Authors: Lathamaheswari R. , BalaKeerthana R. , Nandhini K. , Parkavi B. , Nivedha A.
Published: June 2018

Acute shortage of raw materials and deterioration of reinforced concrete structural elements lead to implementation of new substitute materials and innovative technologies. Reinforced Cement Concrete structures are usually reinforced with steel bars which are subjected to corrosion at critical temperature and atmospheric conditions. The structures can also be reinforced with other materials like Fibre Reinforced Polymers (FRP). In this line Fibre Reinforced Polymer based reinforcement replacing conventional steel rod for a precast element of a prefabricated structure is considered. The precast member cast out of M25 grade concrete reinforced exclusively with locally produced Glass Fibre Reinforced Polymer (GFRP) bars including GFRP stirrups is designed, cast. Flexural behaviour of rectangular concrete beams reinforced with FRP bars and stirrups is examined with two specimens one with conventional sand as fine aggregate and another with quarry dust as fine aggregate. The load at cracking and ultimate, type of failure and crack patterns are observed and compared with those of conventional cement concrete.
Comparative Study of Al-TiB2 Composite Fabricated by Different Powder Metallurgical Methods
Authors: Kumar Purushottam , Parhi Shreyanshu , Datta Somak
Published: June 2018

Aluminium Metal Matrix Composites (AMMCs) are the new class of materials substituting many industrial materials. It is due to its superior qualities compared to conventional materials.  AMMCs has found a versatile application because it has aluminium in matrix phase hence light in weight and also it can acquire different properties as per reinforcements used. Sintering is one of the prominent methods used to manufacture AMMCs. Sintering process is used in Powder Metallurgy in which small powdered particles are heated to bond together. The process enhances the strength as well as other mechanical and tribological properties. The technology enables us to shape materials difficult to machine, parts with complex geometries, materials having high melting point, parts with close dimensional tolerances, or to combine different materials which is not possible with any other process. The most important part is that the density of the product can be controlled according to the requirements and thus self-lubricating and wear-resistant parts are possible.  The present study has attempted to see if TiB2 can be used as reinforcement in AMMCs produced through powder metallurgy route and the changes in the properties of AMMCs by the different sintering methods adopted. The compacted preforms of varying compositions of reinforcement were prepared and sintered through three different methods i.e. Microwave sintering, Conventional sintering and Hot-pressing to study the changes in the properties.  A comparative study has been done between the three sintering methods to see the limitations and scope for improvement.
Optimization of Resistance Spotwelding Parameters Using Taguchi Method
Authors: Vishwakarma Shailesh Kumar , Shrivastava Anurag , Singh Sharmistha
Published: June 2018

Resistance spot welding (RSW) is a major sheet metal joining process in many industries, such as the automobile, domestic appliances, and space craft fabrication. It is one of the oldest of the electric welding processes in use by industry today. Furthermore, other metal-to-metal connections, such as wire-to-wire joints in the electronics industry, are accomplished by resistance spot welding. Application-specific measures, such as the diameter of the welding spot, define the quality of the joint. The weld is made by a combination of heat, pressure, and time parameters. As the name implies, it uses the resistance of the materials to the flow of electric current that causes a localized heating in the parts to be joined. Understanding of physical mechanisms for easily manipulating and controlling weld qualities in advance is extremely important. This paper represents the optimization of various parameters of resistance spot welding. The experimental studies have been conducted under varying pressure, welding current, pressure, and welding time parameters. In this investigation the quality characteristic (tensile strength and nugget diameter) parameters have been considered using Taguchi Method. The experimental studies have been carried out by varying welding currents, welding pressure and weld times for joining two sheets. The results of the investigation indicate the welding current to be the most significant parameter controlling the weld tensile strength as well as the nugget diameter. The contribution of welding current, holding time and pressure to tensile strength are 61%, 29%, 4% respectively and the contribution of these parameters to nugget diameter are 81%, 1.7%, 17% respectively. Relationship graphs have been plotted between tensile strength and nugget diameter with parametric variations according to orthogonal array.
Role-Evolution in Role-based Access Control System
Authors: A Suganthy. , Chithralekha T.
Published: June 2018

Security is a major concern in today’s digital world.  Role based access control provides a mechanism for protecting the digital information in an organization by assigning roles to the individual user and giving permissions to the assigned roles for accessing any resources.  This paper describes the importance of roles in an organization and the evolutionary changes that occurs with respect to the organizational roles.  Here the role is defined as an entity and the attributes of the roles have been identified with their related operations.   The evolutionary changes that happens to the roles in an organization is identified and evolutionary algorithms have been proposed to handle these changes which helps in simplifying the formulation of access control policies.
Customer Experience Maturity Models – Improving the Business Results
Authors: Enescu Maria , Enescu Marian
Published: June 2018

Customer experience maturity of any organization is important for its business results. This paper describes two kinds of maturity models, one based on competency evaluation of the employees on customer’s best applied practices, and the second on maturity of using digital tools to increase the customer good experience when working with the company. These approaches are useful when discuss the performance of enterprises providing products or services in the age of customer. The included case studies show the applicability of the procedures and open a way to be extended for proficiency testing workshops (for similar business) or in ranking the enterprises from the viewpoint of customer experience maturity.
Smart Traffic Light Systems
Authors: Roc A. Vinidha , Banuprakash P. R. , Raj G. Paul Asir Nixon , Prasad L.
Published: June 2018

Traffic signals are the most efficient way of controlling traffic in a busy junction. But, we can see that these signals fail to control the traffic effectively when a particular lane has got more traffic than the other lanes. The idea behind this project is to implement a system which would easily control the traffic and helps for the emergency vehicles to reach at their destination easily and quickly. In our project, a system of cameras are used to regulate traffic. They obtain information in their respective places and coordinate with other cameras in the system to change traffic signals and suggest green signal for that route to avoid maximum traffic. Emergency vehicle can be detected with the help of sound sensors placed in the junction, which coordinates with the microcontroller and makes the particular Lane free.
Power Generation for India with Higher Efficiency
Authors: P Umeshkannan , KG Muthurajan
Published: June 2018

The developed countries are consuming more amount of energy in all forms including electricity continuously with advanced technologies.  Developing  nation’s  energy usage trend rises quickly but very less in comparison with their population and  their  method of generating power is not  seems  to  be  as  advanced  as  developed  nations. The   objective   function   of   this   linear   programming model is to maximize the average efficiency of power generation inIndia for 2020 by giving preference to energy efficient technologies. This model is subjected to various constraints like potential, demand, running cost and Hydrogen / Carbon ratio, isolated load, emission and already installed capacities. Tora package is used to solve this linear program. Coal,  Gas,  Hydro  and  Nuclear  sources can are  supply around 87 %  of  power  requirement .  It’s concluded that we can produce power  at  overall  efficiency  of  37%  while  meeting  a  huge demand  of  13,00,000  GWh  of  electricity.  The objective function shows the scenario of highaverage efficiency with presence of 9% renewables. Maximum value   is   restricted   by   low   renewable   source’s efficiencies, emission constraints on fossil fuels and cost restriction on some of efficient technologies. This    model    shows    that    maximum    18%    of    total requirement   can   be   met   by   renewable itself which reduces average efficiency to 35.8%.   Improving technologies  of  renewable  sources  and  necessary  capacity addition  to  them in  regular  interval  will  enhance  their  role and existence against fossil fuels in future. The work involves conceptualizing, modeling, gathering information for data’s to be used in model for problem solving and presenting different scenarios for same objective.
Remote Attention System for Inpatient Care
Authors: PS Ramkumar , S Arjun J , Biswas Ritudisha , H G Sandeep Patil
Published: June 2018

ICU management has been daunting task for the hospital administration, doctors are expected to rush back to the hospital on call even after returning home, even if it is middle of night, to inspect critical developments of patient’s condition and decide further action immediately. The problem multiplies when doctors are consultants to multiple hospitals. . Hospitals face scarcity of experts who can engage full time, especially when physical presence is required on demand. This paper illustrates an initiative that is driven by collaborating Hospitals as care provider partners and Applied cognition Systems as technology partner to enable virtual presence of remote specialists in collaboration with local doctors as needed in emergency response, remote monitoring and real time consultation for management of patients admitted in wards and ICUs of hospitals.
A Novel Mechanism for Detecting DOS Attack in VANET Using EAPDA
Authors: D Sheethal , H.K Chandrashekhar
Published: June 2018

Security is the major concern with respect to the critical information shared between the vehicles. Vehicular ad hoc network is a sub class of Mobile ad hoc network in which the vehicles move freely and communicate with each other and with the roadside unit (RSU) as well. Since the nodes are self  organized, highly mobile and free to move therefore any nodes can interact with any other node which may or may not be trustworthy. This is the area of concern in the security horizon of VANETs. It is the responsibility of RSU to make the network available all the time to every node for secure communication of critical information. For this, network availability occurs as the major security requirement, which may be exposed to several threats or attacks. The vehicles and the RSU are prone to several security attacks such as masquerading, Sybil attack, alteration attack, Selfish driver attack, etc. Among these Denial of Service attack is the major threat to the availability of network. In order to shelter the VANET from DoS attack we have proposed Enhanced Attacked Packet Detection Algorithm which prohibits the deterioration of the network performance even under this attack. EAPDA not only verify the nodes and detect malicious nodes but also improves the throughput with minimized delay thus enhancing security. The simulation is done using NS2 and the results are compared with earlier done work.