bluuebunny/crossref_metadata_2025 huggingface dataset:
Social Media and Higher Education Institute Recruitment
Authors: Singh Gurvinder , Bansal Munish , Bhatnagar Dyal
Published: June 2018

Communication medium has changed dramatically in the past decade after the emergence of social media. . Not only it became top priority for business houses now a day but other organizations including education institutes are using social media to connect with students. With approximately 462 million internet users and over 241 million active Facebook users; Internet penetration, Smartphone’s, youth exposure are major factors which are responsible for high growth rate of internet and social website users. Decision makers are consistently trying to identify ways through which firms can make use of social media applications such as Wikipedia, YouTube, Facebook, Twitter etc. It is a place where people discuss politics, products, cricket, music & movies, fashion, science & Technology and many other issues. This new media has led to a paradigm shift in marketing practices of many companies from a traditional brand or product-driven approach to a contemporary customer-driven approach. Social Media and its technology are consumer-driven as it can directly communicate with consumers for their product and services. Moreover, this new form of media is often perceived more trustworthy source rather than sponsored content transmitted thru the traditional media of the promotion mix. Though organizations cannot control the direction of information disseminated through social media yet social media is being widely used by almost all the companies, in spite of their size or structure. Consumers get instant response and feel more attached with the organization.Considering all these benefits educational institutes and universities are now using social media to reach its perspective clients i.e. students, in order to improve recruitments. Social media sites are generally accessed by youth of specific demographic profile. There is big difference in how and why people use social networking sites. In addition, how much is the involvement and continuation of traditional marketing practices required in social media marketing.Unfortunately, universities/institutes using these technologies often fail to understand the unique opportunities and challenges that accompany the adoption of social media. In this paper, an effort has been made on conceptual approach in identifying issues and challenges in identifying role of social media in higher education and to identify factors that affect the selection of higher educational institutes and role of social media in reaching to the perspective students. The data will be analyzed using statistical techniques like factor or confirmatory factor analysis with reliability and validation checks.
Significant Parameters of Machine Flexibility Contributing to Lean Manufacturing
Authors: Chauhan Gulshan
Published: June 2018

In today’s highly competitive environment manufacturing industries can’t bear the wastage of resources. Machines and equipments are one of the most important resources of a manufacturing industry. It is necessary to employ efficient processes and practices to hold cost of manufacture and move towards the attainment of lean manufacturing. This paper presents a study carried out in manufacturing industry to assess the status of machine flexibility and its impact on lean manufacturing implementation. A survey was conducted using a specially designed questionnaire carrying multiple choice questions on various aspects of lean manufacturing and machine flexibility. From the analysis of the response, standing of each parameter of lean manufacturing and machine flexibility were found out. The relationships between these parameters were determined from the coefficient of correlation and significant parameters of machine flexibility contributing to lean manufacturing were found out from regression analysis.
ERP Implementation Lifecycle in SMEs – A Review
Authors: Tomar Jitendra Singh
Published: June 2018

Saturation is visible in ERP implementation in large enterprises but has huge potential in SMEs. With SMEs impacting large portion of economy, the focus has shifted to globalization, building partnerships, developing value networks, and managing the huge information flow across and within SMEs nowadays. Due to rising business demands, SMEs are adopting ERP systems and the vendors now focus more on implementing ERP in SMEs for effective information management. The current study summarizes research on enterprise resource planning (ERP) systems implementation within the domain of small and medium-size enterprises (SMEs). The SMEs suffer from resource poverty which increases the risk of ERP adoption. SMEs are structured very distinctively compared to LEs, thus the ERP implementation model, practices, and methodologies are different from Les and should be perceived differently. The main purpose of this article is to observe the areas that lack sufficient research within the ERP in SMEs domain, appraise with current research findings that could felicitate practitioners, suppliers, and SMEs while implementing ERP in SMEs, and suggest research avenues for future. Moreover, this study signifies the current practices in SMEs, the impellingtheories, and adaptive frameworks that are discussed in existing literature on ERP implementation in SMEs.
Application of Error-resilient Transmission of Sleep Apnea Patient Video with Sound over Mobile Network
Authors: Kumar G Vijay , Anjani Y
Published: June 2018

Mobile video-audio transmission systems have delivered  patient video with relevant snoring sound to quantify the severity of the sleep apnea patient over wireless networks, but few have optimized video-audio transmission in combination with transmission protocol over error-prone environments using wireless links. In this paper, the performance of the MPEG (Motion Picture Expert Group)-4 error resilient tools with UDP(User Datagram Protocol) protocol were evaluated over a wireless network to suggest the optimum combination of MPEG-4 error resilient tools and UDP packet size suitable for real-time transmission of video-audio transmission over error-prone mobile networks. Through experimentation, it was found that the packet size should correspond to IP(Internet Protocol) datagram size minus UDP and IP header for optimal video-audio quality. Also, for error resilient tool selection, the combination of resynchronization marker and data partitioning showed the best performance.
Optimal Battery Bank Dimensioning Algorithm for Renewable Systems Electrification of Isolated Sites
Authors: Belouda Malek
Published: June 2018

The penetration of renewable energy systems in remote areas contributes to reply to its accrued demand of electricity. Renewable energy systems as photovoltaic generation systems and wind generation systems are characterized by their unpredictable and intermittent character presenting the main drawback of these systems. Although this advantage, the problems caused by the intermittency of these systems can be resolved by employing a battery energy storage system. To this end this paper proposes and analyses an efficient and optimal methodology dedicated to applications fed by renewable energy systems. Since an optimal energy storage bank sizing is needed in order to assure the continuity and reliability of electricity supply of remote areas from these kinds of energy sources. The first part of this article describes the renewable hybrid system structure and different factors influencing the storage system dimensioning. Different scenarios of renewable sources power generations in order to develop an optimal battery bank sizing algorithm are investigated the second part of this article. The formulation of the algorithm is finally presented and discussed.
A Pragmatic Study on Time Series Models for Big Data
Authors: Arputhamary B. , Arockiam L.
Published: June 2018

Recent years have witnessed the growth of Big Data, particularly Time Series data which initiates major research interest in Time Series analysis and forecasting future values. It finds interest in many applications such as business, stock market and exchange, weather forecasting, electricity demand, cost and usage of products and in any kind of place that has specific seasonal or trendy changes over time. The forecasting of Time Series data provides the organization with useful information that is necessary for making important decisions. In this paper, a detailed study is performed to find the total number of bike users with respect to the season and weather on Capital Bike Sharing System (CBS) dataset. The study covers the Auto Regressive Integrated Moving Average (ARIMA), Holt-Winters Additive and Multiplicative forecasting models to analyse the seasonal and trendy fluctuations of the given dataset to improve performance and accuracy.
Quality Management in Public Administration – Case of Slovenia
Authors: Žurga Gordana
Published: June 2018

In Slovene public administration, quality management is recognised as a mean for strengthening the administrative capacity for improving effectiveness and efficiency of the government and its apparatus. In this article we present how quality management in public administration is addressed in Slovenia. The methodology used is a case study, and in this framework we present and describe main strategic documents, projects and initiatives. Special emphasis is given to the Quality Committee that was driving the area at the Ministry in charge of public administration in the period from 1999 to 2012 and its projects and activities, and to the current public administration development strategy 2015 – 2020. As a conclusion, we present how further development in this area is being addressed through the development of the national business excellence strategy for the period 2018 – 2030 where public administration is not only an important part but a driving force as well.
Similarity Detection Using Latent Semantic Analysis Algorithm
Authors: Patil Priyanka R. , Patil Shital A.
Published: June 2018

Similarity View is an application for visually comparing and exploring multiple models of text and collection of document. Friendbook finds ways of life of clients from client driven sensor information, measures the closeness of ways of life amongst clients, and prescribes companions to clients if their ways of life have high likeness. Roused by demonstrate a clients day by day life as life records, from their ways of life are separated by utilizing the Latent Dirichlet Allocation Algorithm. Manual techniques can't be utilized for checking research papers, as the doled out commentator may have lacking learning in the exploration disciplines. For different subjective views, causing possible misinterpretations. An urgent need for an effective and feasible approach to check the submitted research papers with support of automated software. A method like text mining method come to solve the problem of automatically checking the research papers semantically. The proposed method to finding the proper similarity of text from the collection of documents by using Latent Dirichlet Allocation (LDA) algorithm and Latent Semantic Analysis (LSA) with synonym algorithm which is used to find synonyms of text index wise by using the English wordnet dictionary, another algorithm is LSA without synonym used to find the similarity of text based on index. LSA with synonym rate of accuracy is greater when the synonym are consider for matching.
An Analysis of Restraints on Effective Demand for Loans in Rural China
Authors: Ma Wenjie , He Minxin , Zhong Xinyu , Huang Shengsong
Published: June 2018

China’s overall economic growth is, to a great extent, hindered by the lack of economic growth in rural areas. Based on data from the Thousand-Village Survey (2015) of 31 provinces conducted by Shanghai University of Finance and Economics, we conduct this empirical study to analyze the current state of rural financial services and the factors influencing effective demand for loans in rural China. Looking at the demand side, in 2014, only 13.91% farmers had loans, and only 15.53% of them made financial institutions their first choice when they needed loans. Clearly, there is still much to do with regard to inclusive finance. From the perspective of the supply side, only 43.86% of dispersed loans can be categorized as productive loans, further reflecting that the financial services industry does not provide strong support for rural economic growth. Further study shows that the main factors influencing effective demand for productive loans are the population age structure and the rate at which migrant workers return home. Therefore, the "Second-Child" policy and policies that encourage migrant workers to go back home to start businesses are of vital importance in order to raise effective financial demand in rural China.
Comparative Research Analysis of Automated Testing Tools Selenium & QTP for Banking Website
Authors: Jain Ghanesh , Chouhan Arun Singh
Published: June 2018

Software testing is an activity which is aimed for evaluating quality of a program and also for improving it, by identifying defects and problem. Testing can be described as a process used for revealing defects in software and for establishing that the software has attained a specified degree of quality with respect to selected attributes. The paper would provide distinction between automation and manual testing of an internet banking website, specifically highlighting the contrast in cost, time and ROI. It would also bring up a comparison between some of the test automation tools available in the market and their effect on the project if used.A business critical application like an internet banking website needs to be thoroughly tested for any residual bugs remaining in the code as any failure could lead to huge business loss. Using functional testing, some of the possible defects that may lead to failure could be removed. Automated testing included the development of scripts that not only saves time and resources when applications are updated, but also speeds up the process of testing. Test automation is extensively used for regression testing, which seeks out new bugs in a program and separates them. This paper highlights the comparison between QTP and Selenium automation tools available in market and their use in the software project scenario.
Forensic Analysis of Asterisk-FreePBX based VoIP Server
Authors: Tandel Hardik , Rughani Parag H.
Published: June 2018

VoIP – Voice over IP is becoming an important aspect of communication. With invention of high speed Internet together with mobile phones has made it possible to utilize this highly important technology for voice communication. International calls are now possible with VoIP at compatible rates compared to  past. The trend made people develop applications based on VoIP not only for private IP PBX but for subscribed users from all over the world. The dependency in whole technology is its VoIP Server, which is not directly exposed to end users, but if can be compromsed then can affect all the connected users. Looking at increasing popularity of VoIP, attackers are now targeting these VoIP servers for various purposes like stealing information or using service to make free calls. It is always difficult to prevent such attacks but investigation may always help in solving such attacks and preventing future attacks with similar modus operandi. These work focuses on forensic analysis of VoIP server asterisk and discusses important artifacts which can be retrieved from affected VoIP server.
Error Free Punjabi Text to Speech Generation System based on Phonemes
Authors: Kaur Tejinder , Singh Charanjiv
Published: June 2018

Text-to-speech (TTS) is the generation ofsynthesized speech from text.Language is the ability to express one’sthoughts by means of a set of signs (text), gestures,and sounds. It is a distinctive feature of humanbeings, who are the only creatures to use such asystem. Speech is the oldest means of communicationbetween people and it is also the most widely used.‘Speech synthesis’ also called ‘Text to speechsynthesis’ is the artificial production ofhuman speech. A computer system used for thispurpose is called a speech synthesizer and can beimplemented in software. A text-to-speech(TTS) system converts text to speech.The proposed Enhanced Transcriptions Method is developed using Microsoft Visual Studio in VB.Net Language. Firstly word indexing is performed for the predefined words then corresponding speech signal is detected and errors in words are calculated using Euclidean distance. The results of the proposed work shows that Enhanced Transcriptions Method has more accuracy 89% as compared to previous Transcriptions Method 79%. The value of specificity for proposed method is 0.89 and for previous method is 0.79.
Analysis of Clustering Algorithm in Securing VANETs
Authors: S Sumaiya Sheerin , V Jayalakshmi
Published: June 2018

Security of wired and wireless networks is the most challengeable in today’s computer world. Computer and the development of network technology and its application cause the decrease in the Security of the system. It improves the attention of the people because once the data has been destroyed; it is a tedious process to recollect the lost data which causes the interrupt in the network and the performance. The main goal of VANET is to disseminate safety messages from Source to destination without negotiating security. The nodes in VANET is rich in mobility henceforth, there are many challenges to route the packets to their final destination. VANETs are themselves vulnerable against attacks that can directlylead to the corruption of networks and then possibly provoke big losses of time, money, and even liveshowever; malicious vehicle may trace the message which causes vulnerability to other vehicles. Clustering is one solution to improve the security against malicious vehicles. In this work, a security mechanism has been incorporated by analysis of clustering Algorithm such as MMV(Monitoring Malicious Vehicle) algorithm and CSMV(Clustering Surveillance Malicious Vehicle)algorithm.
Application of Artificial Neural Network to Predict the Water Quality Index of Brahmani River Basin Odisha, India
Authors: Bhagat Binayini , Satapathy D. P.
Published: June 2018

Water is one of the prime elements responsible for subsistence on the earth. The scarcity of potable water is gradually increasing with the increase in population. The surface water quality is a very crucial and sensitive issue and is also a great environmental concern worldwide. Surface water pollution by physical, chemical, radiological and biological contaminants can be considered as an epidemic at times, all over the world. The present research work aims at assessing the water quality index (WQI) in the surface water of Brahmani river basin in Odisha by monitoring five sampling locations. The surface water samples data were subjected to comprehensive physico-chemical analysis besides general parameters. The monthly water quality parameters were collected and analyzed from five selected gauging stations of Odisha during the months of January to December from 2011 to 2016. Eleven physical, chemical and biological water quality parameters viz. pH, Dissolved Oxygen (DO), Biochemical Oxygen Demand (BOD), Electrical Conductivity(EC), Nitrogen as nitrate (Nitrate-N), Total Coli-form Bacteria(TC), Fecal Coli-form Bacteria(FC), Chemical Oxygen Demand (COD), Nitrogen as ammonia (NH4-N), Total Alkalinity (TA) as CaCO3, Total Hardness (TH) as CaCO3 were selected for the analysis. Analysis of water quality for Brahmani River is done by Water Quality Index (WQI). Prediction of water quality index is done by using Artificial Neural Network (ANN).  It is apparent from WQI values that Talcher and Panposh recorded the water quality as moderate to poor and nearly unsuitable during the years 2011-2016 indicating water as not safe for domestic purposes and needs treatment, the WQI values of Kamalanga ranged from good to poor and the WQI values of Aul and Pottamundai ranged from good to moderate. Eleven physico-chemical parameters were involved in this analysis as input variables and water quality index as output variable. Two models were proposed to identify the most effective model in an attempt to predict the WQI.  Correlation between the parameters was carried out to find out the significant parameters affecting WQI. The ANN developed was trained and tested successfully using the available data sets and the performance of ANN models were determined by coefficient of determination (R2) and Root Mean Square Error (RMSE). Results show that ANN-1 gives the higher value of R2 in summer, monsoon and winter season (0.989, 0.976 and 0.959) and low RMSE (2.1865, 2.0768 and1.9657) as compared to that of the second model (ANN-2) which gives R2 value as 0.933, 0.945 and 0.943 and RMSE value as 2.8765, 2.5456 and 1.2745 for summer, monsoon and winter seasons respectively. Hence this study triggered the use of Artificial Neural Network to predict the Water Quality Index (WQI) rather than using the traditional WQI equation.
Development of BPMN Architecture using Integration of Data Mining
Authors: Saluja Ritu , Singh S. K. , Chaturvedi A. K.
Published: June 2018

Data mining is an important factor of success for modern business processes. Modern Integrating data mining with business solutions will improve the business process model (BPM) and enhance the overall business process management framework. The proposed architecture promises to provide great support for flexible design, deployment and managementof business processes. Incorporating services of data mining in order to choose the appropriate business model, determining missing standards and deploying machine learning techniques in an applicable manner is a challenging task discussed in the paper. Theproposed work describes the overall contribution of data mining services and validates the novelty in architecture by defining user roles for business, decision mining and IT standards. Supervised and unsupervised learning technique is used for determining similarity between the proposed model and the previously stored models.
E-Projects Challenges in India – Role of Human Resource Management and Technology
Authors: Kaur Ramnik
Published: June 2018

E-governance is a paradigm shift over the traditional approaches in Public Administration which means rendering of government services and information to the public by using electronic means. In the past decades, service quality and responsiveness of the government towards the citizens were least important but with the approach of E-Government the government activities are now well dealt. This paper withdraws experiences from various studies from different countries and projects facing similar challenges which need to be consigned for the successful implementation of e-governance projects. Developing countries like India face poverty and illiteracy as a major obstacle in any form of development which makes it difficult for its government to provide e-services to its people conveniently and fast. It also suggests few suggestions to cope up with the challenges faced while implementing e-projects in India.
Review on Multiobjective Task Scheduling in Cloud Computing using Nature Inspired Algorithms
Authors: Chaudhary Shikha , Hiranwal Saroj , Gupta C. P.
Published: June 2018

In cloud computing huge pool of resources are available and shared through internet. The scheduling is a core technique which determines the performance of a cloud computing system. The goal of scheduling is to allocate task to appropriate machine to achieve one or more QOS. To find the suitable resource among pool of resources to achieve the goal is an NP Complete problem. A new class of algorithm called nature inspired algorithm came into existence to find optimal solution.  In this paper we provide a survey as well as a comparative analysis of various existing nature inspired scheduling algorithms which are based on genetic algorithm and ant colony optimization algorithm.
Some Common Fixed Point Theorem in Complete Metric Space of Integral Type
Authors: Chaudhary Jagdish C. , Patel Shailesh T.
Published: June 2018

In this paper, we prove some common fixed point theorems in complete metric spaces for self mapping satisfying a contractive condition of Integral  type.
Environmental Impacts of the Red Ceramics Industry in Northeast Brazil
Authors: Abrahao Raphael , Carvalho Monica
Published: June 2018

This paper exposes the current negative environmental impacts that have been identified in various stages of ceramic production in Northeast Brazil, through the extraction of clay, the generation of solid residues, the extraction of native vegetation for burning, and emissions into the atmosphere. A representative factory was studied, located in the municipality of Guarabira (Northeast Brazil). Although the area is developing economically, some stages of the process are not being accomplished in a way that ensures the sustainability of the activity in the environment. The pressing need for an optimized and environment-friendly ceramic production has triggered research on the production process and alternative methods. The environmental impacts observed were described herein, and a Life Cycle Assessment was carried out to quantify the carbon footprint associated with the productive process of the factory.
Legal and Social Problem Encountered in Women Entrepreneurship with Special Reference to Ujjain District
Authors: Pandya Mamta Sharma , Sharma Mahesh
Published: June 2018

The increasing awareness towards economic development, changing social environment changing culture and modern civilization has affected various sectors of the world. Indian society is not an exception too. Women have proved their importance by accepting challenges in various work-areas. Today, women have achieved success in various economic and social work- areas and have proved that women can form a new culture, away from the traditional one. This research paper discuss some of the major problems which influence the growth of women entrepreneur units in Ujjain. For analytical purpose Legal and Social problems/ obstacles/ barrier of women entrepreneur are taken into accounts.
A Study on Entrepreneurial Inclination among Students
Authors: Bade Uma Rani , Rao P. Divakara , Reddy B. Ratan
Published: June 2018

In India, the development of entrepreneurship is becoming more important as it is one of the driving force for achievement of economic development and job creation. Entrepreneurship is the process of creating value by developing the necessary time and effort, assuming the various factors such as financial, physical, and social risks, for rewards of monetary and personal satisfaction The research objective of the study is to investigate the factors associated with entrepreneurial inclination among post graduate students in Indian universities. The paper provides hypotheses about risk aversion, fear of failure, lack of social networking, lack of resources and stress aversion among post graduate students. The proposed hypotheses are tested on a sample of 160 post graduate students. To analyse the data descriptive analysis and regression were employed. The findings help to clarify the reasons for positive entrepreneurial inclination among students to become entrepreneurs. This paper is an attempt to create a better understanding of the factors that account for entrepreneurial inclination among postgraduate students.
The Impact of Hospital Accreditation on the Patients Satisfaction of Haemodialysis Department Services
Authors: Shaikh Zuber Mujeeb
Published: June 2018

The quality of hospital Haemodialysis Department Service is one of the most relevant items of health care quality perceived by patients and by their families. Patient satisfaction is considered a way of measuring the quality of services provided. Objectives: To study the impact of National Accreditation Board for Hospitals & Healthcare Providers (NABH) Accreditation, India on Haemodialysis Department Service patient satisfaction. Methods: It is a quantitative, descriptive and inferential research based case study in which sample of a population was studied by structured satisfaction survey questionnaires (before and after the accreditation) in a private tertiary care hospital at Secunderabad, Telangana State, India to determine its characteristics, and it is then inferred that the population has the same or different characteristics. Significance of Research: It was observed initially before the accreditation that there was a lower patient satisfaction rate of the hospital Haemodialysis Department Services, which was affecting the study hospitals’ business. Hypothesis: Null Hypothesis (Ho) and Alternative Hypothesis (H1) were used and tested to compare the before and after impact of accreditation by applying to each question in the questionnaire. Study Design: The closed ended questionnaire was developed considering the Haemodialysis Department Services and incorporated the six dimensions of quality Safe, Timely, Effective, Efficient, Equitable, and Patient-centred (STEEP) and tested prior to implementing. Questionnaires were given to the patients' families for completion upon using the Haemodialysis Department Services two months before and two months after the accreditation. The data were collected in order to cover all three shifts of the Haemodialysis Department Services. Study Population: Simple random sampling method was selected, the researcher had involved all conscious patients (clinical conditions) from all age groups. Data Collections: Primary data were collected from the survey questionnaires. Secondary data were collected from relevant published journals, articles, research papers, academic literature and web portals. Conclusion: At the 5 % level of significance, the t-test results indicate that there is a significant difference in the responses between before (M=51.11, SD=21.89) and after accreditation (M=58.56, SD=17.28) with p-value <0.001. The mean satisfaction score has improved from before accreditation compared to after accreditation.
Study of High Strength Concrete Using Microsilica
Authors: Singh Ramanpreet , Bath Gurprit Singh , Bansal Manjeet
Published: June 2018

The framework of bridges, buildings, roads etc. need concrete. The concrete which is being used is not able to fulfil the contemporaneous needs. In India High Strength Concrete (HSC) is preferred for manufacturing practices and at the same time High Performance Concrete is used at high level. The properties of HSC are improved like mechanical and durability are improved by using silica fume in concrete. HSC has made the work of construction company more rewarding to design tall, long and light structures. HSC is helpful in designing buildings with good number of floors, wide area bridges and slim structure. The products like fly-ash, copper slag, silica fume etc. are produced by industries which leads to various environmental problems. The experiment on silica was done which stated that no strength is lost in silica-fume concretes. The experiment comprises four levels of silica-fume at the rate of 0%, 5.5%, 8.0%,9.5% and 11.0% which results high strength concrete.
Surface Water Quality Assessment and Prediction Modelling of Kathajodi River
Authors: Mallick Sipra , Baliarsingh F
Published: June 2018

Water quality index (WQI), a technique of rating water quality, is an effective tool to access quality and ensure sustainable safe use of water for drinking. The main objective of the present study is to access the surface water quality of Kathajodi river for knowing the suitability of drinking purpose by calculating the WQI. Samples were collected from selected locations during different seasons (winter, summer, rainy) over a period of 3 years (2011, 2012, 2013). Water quality assessment was carried out for the parameters like pH, total dissolved solids, total suspended solids, Alkalinity, Biological Oxygen Demand(BOD), Dissolved Oxygen(DO), Chloride, Nitrate, Alkalinity, Total Hardness, Calcium, Magnesium. The main objective is to develop a model to assess and predict the water quality changes of Kathajodi River Basin Odisha, India using neural networks and compared with the statistical methods. The result shows the proposed ANN prediction model has a great potential to simulate and predict the strongly correlated parameters like TSS (Total Suspended Solids), TDS(Total Dissolved Solids), Alkalinity, BOD(Biological Oxygen Demand)with Mean Square Error (MSE) : TSSMSE = 1.78 ; TDSMSE = 0; AlkalinityMSE = 3.77 and BODMSE = 8E-03.The Neural Network model has been compared with Linear Regression model to find out the best modelling approach for the study area. And it is concluded that the neural network model is superior to Linear Regression Model.
Futuristic Approach of Utilisation of Hydropower in India
Authors: Kaur Charanjit , Gupta Pooja , Sisodia S. S. , Sharma Trapti , Gaur R. C.
Published: June 2018

Hydro power is a renewable source of energy used in most parts of the world. India is very rich in hydropower potential. It is the only clean and renewable source today making significance in the world of power production. With the rising economic growth and income level India is bound to have higher demand for electricity supply. India presently has an installed power generation capacity of 284,303MW (2015) inclusive of Hydropower which is 42,623MW(2015) .The situation is highlighted by the peak power deficit—shortfall in supply of power when the demand is maximum—was 5.2% in year 2013-14.With the fast depleting natural resources, it becomes mandatory that we increase the use of Renewable Resources for Power generation .When Thermal power in 2007 was 64% of the total generation and Hydro power was 26% and in 2015 instead of the thermal graph falling and Hydro power rising we see a different picture . In 2015 thermal has grown to 70% and hydro has fallen to 15%.Hydropower is such a good source for power why do we see the graph falling every year?? The amount of land submergence required for large Dams is the biggest concern where the Forest Act and the Environment Act also offer rigidity towards the same. Relative to so much submergence arises another major problem of Rehabilitation and Resettlement .Climatic changes and other negative effects of fossil fuel for power generation are growing concerns and therefore driving the expansion of hydropower around the world. The Reservoir based hydropower projects have also come under criticism due to carbon dioxide and methane emissions beyond acceptable limits. Ecological and many more issues that are preventing Hydro power as becoming the major source of electricity generation. In this paper we will review the major issues faced due to large hydropower plants and why they are not termed as Renewable sources.
Applications of GIS & RS for Wetland Management in Mudigere Taluk, Chikkamagalur District, Karnataka
Authors: Satish N. S. , Shruthi C. G. , M Kiran B.
Published: June 2018

'Wetland' denotes a large body of water surrounded by land, whether natural or artificial,permanent or temporary with water that is lentic or lotic. Wetlands perform some useful functions in the maintenance of overall balance of nature. Due to economic growth,urbanization,population increase and industrialization, more and more waste materials were discharged in to it, make it unfit for any uses. Hence to maintain the ecological balance,it is imperative to preserve these wetlands to make it fit for various purposes. Study is being undertaken in Mudigere taluk of Chikkamagaluru District, to identify the number of wetlands in the taluk and to assess the status of wetlands), Geographic Information System(GIS) is used to develop a system for the functional analysis of wetlands and to estimate the rainfall and runoff pattern using land-use/land-cover on wetlands and associated ecosystems .The study involves a detailed investigation of physical and chemical water quality parameters of 7 lake, carried out for a period of three months from March to May, the result reveals that the water is not polluted only turbidity exceeds the permissible limit due storm water runoff and 2 lakes have attended the Eutrophic condition due to agriculture run-off, sewage pollution and anthropogenic activities. A System for the Functional Analysis of Wetland using GIS,remote sensing data, topographical maps. Rainfall and Runoff pattern is estimated using land-use/land-cover, Soil using GIS and Remote Sensing Technique.
Path Reconstruction and Effective Routing with Advanced Congestion Diversity in Wireless Adhoc Networks
Authors: Rao O. Srinivasa , Madhuri K.
Published: June 2018

Link error and malicious packet dropping are two sources for packet losses in multi-hop wireless ad hoc network. In this paper, while observing a sequence of packet losses in the network, we are interested in determining whether the losses are caused by link errors only, or by the combined effect of link errors and malicious drop. We are especially interested in the insider-attack case, whereby malicious nodes that are part of the route exploit their knowledge of the communication context to selectively drop a small amount of packets critical to the network performance. Because the packet dropping rate in this case is comparable to the channel error rate, conventional algorithms that are based on detecting the packet loss rate cannot achieve satisfactory detection accuracy. To improve the detection accuracy, we propose to exploit the correlations between lost packets. Furthermore, to ensure truthful calculation of these correlations, we develop a homomorphic linear authenticator (HLA) based public auditing architecture that allows the detector to verify the truthfulness of the packet loss information reported by nodes. This construction is privacy preserving, collusion proof, and incurs low communication and storage overheads. To reduce the computation overhead of the baseline scheme, a packet-block based mechanism is also proposed, which allows one to trade detection accuracy for lower computation complexity. Through extensive simulations, we verify that the proposed mechanisms achieve significantly better detection accuracy than conventional methods such as a maximum-likelihood based detection.
Automatic Extraction of Glacial Outlines, Contours and Volume of Ice from Satellite Imageries (Use of Open Source GIS Software - QGIS)
Authors: Singh Daljit
Published: June 2018

Remote Sensing and GIS are the two Geo-Spatial Technologies increasingly used in Geographic Research. The high cost of the software’s used to apply these technologies to geographical data did not allow expansion of its use in India except in the projects which are financed by some funding agencies. Moreover, its use for individual research by teachers and students in absence of license access to these technologies was highly restricted. Even if a license is purchased by the educational institution, its maintenance cost further inhibits is use. The present paper highlights how QGIS, open source GIS software can be used to extract glaciers from satellite imageries. By adopting UBUNTU, an open source operating system and QGIS, an open source GIS software any department of Geography can establish a GIS laboratory where not only teachers but students may learn its applications and start using it in a big way. This will enable geography teachers, researchers, and students to use remote sensing and geographical information system in understanding, analyzing and highlighting the importance of various indicators of development.
A Study on Buying Behaviour of Youngsters towards Fast Food Restaurants
Authors: S. Anitharaj M.
Published: June 2018

The Indian economy was a traditional economy with majority of the consumers having a preference towards home cooked foods. This posed a major challenge to the major global fast food giants such as McDonalds and KFC to establish their business in India. In recent years the Indian fast food industry is undergoing rapid changes, reflecting a number of underlying developments. The most significant has been the quality and variety of services which have accelerated and broadened the scope of fast food restaurants in India. The global retailers have to compete with the Indian fast food retailers who offer traditional foods according to their tastes at affordable prices. Today, the fast food industry is adapting to Indian food requirements and is growing rapidly in India. It is gaining acceptance primarily from the Indian youth and younger generations and is becoming part of daily life. Keeping in mind the Indian habits and changing preferences towards food consumption, this study has as its focus tried to understand the factors affecting the perception of Indian youth, in the age group of 18-25 years, towards consumption of fast food as well as towards making choices of which fast food outlets to patronize. The findings of the study would help the fast food retailers to shore up their strengths and remedy their shortcomings.
Study of the Impact of Land Use Change on Estimation of Runoff Using SCS-CN & GIS for Gangua-Jhumka Water Shed
Authors: Kuanar Monalisa , Nath Swetalina
Published: June 2018

Due to increasing demand for basic human needs and welfare of ever growing population there is seen remarkable changes in land use land cover of particular areas. Land use land cover has become a important component in current strategies for managing natural resource and managing environmental changes in present days. The objectives of this research were to analyse the land use land cover change for two periods 2005-06 and 2011-12 and comparing the changes, to study the impact of  LULC change on runoff and to estimate the runoff of a watershed area i.e. Gangua Jhumka watershed. Accurate estimation of runoff is an important work for proper watershed management. Direct runoff of a catchment is depended on soil type, and cover and rainfall. Among all the methods available for estimation of runoff SCS-CN method is the most popular. The curve number depends on soil and land use characteristics. This study was carried out in Gangua Jhumka watershed located Khurdha District of Odisha using remote sensing and GIS. The total area of watershed 685.711 sq. km. Soil map, Land use map, elevation maps are generated from GIS Environment. In this research work as the study area is a fast developing city and the population growth is remarkable so most of the agricultural land and forest lands are converted to built up lands. Land sat satellite image was used to obtain land cover information. The thematic maps like soil map, elevation map, and land cover map were created in Arc GIS 10.3. Curve numbers are assigned for different land cover and soil types. In present study the runoff calculated are 1307.6 mm and 1434.8 mm for the year 2005-06 and 2011-12 respectively. Due to increase urbanization runoff has decreased in the study area.
DDoS Attacks Detection and Prevention in Mobile Adhoc Network: A Survey
Authors: Kumari Ranjana , Chugh Achint
Published: June 2018

Ad-hoc system is a gathering of wireless movable nodes enthusiastically creating a momentary network lacking the use of any core-existing centralized administration or network infrastructure. MANET has some limitations owing to infrastructure, mobility, capabilities of mobile nodes or due to system as a whole. Limitations due to infrastructure or system, Broadcast nature of communications, frequent disconnections / partitions, Limited bandwidth, packet loss due to transmission error, variable capacity links. Cooperative procedures, Exposed medium, dynamically varying system topology, inadequacy of centralized monitoring, Nonexistence of clear line of resistance. There is no layered security in MANETs like in wired network. Data packets routed between a sender node (source) and a receiver node (destination) of a MANET often traverse along a path spanning multiple links, which is known as the multihop path. The paper provides survey to DDoS attacks prevention and detection methods.
A Comprehensive Review Article on Energy Efficiency Protocols in Wireless Sensor Networks
Authors: P Harpal , Tejpal Gaurav , Kaur Harjot
Published: June 2018

Several location-based programs depend on fine-grained checking of portable items that establish their particular places with feeling products like GPS receivers. For these items, power is just a really useful and restricted resource. A distance-based confirming project could be used to lessen the power they digest by giving place updates. But, the power necessary for place feeling hasn't been regarded in the past. In that report, we examine how a ensuing power usage from equally feeling and upgrade procedures could be paid off for distance-based reporting. We reveal that substantial savings are accomplished by giving place changes sooner than really required. For standard action, we get the small energy usage analytically. Eventually, two story on the web heuristics are planned that get a grip on the giving of place changes at runtime. Their efficiency is validated by considerable simulations.
Back Propagation Method of Artificial Neural Networks for Finding the Position Control of Stanford Manipulator and Direct Kinematic Analysis of Elbow Manipulator
Authors: Sailaja M. , Prasad R. D. V.
Published: June 2018

Nowadays the robot technology is advancing rapidly and the use of robots in industries has been increasing. In designing a robot manipulator, kinematicsplays a vital role. The kinematic problem of manipulator control is divided into two types, direct kinematics and inverse kinematics. Robot inverse kinematics, which is important in robot path planning, is a fundamental problem in robotic control. Past solutions for this problem have been through the use of various algebraic or algorithmic procedures, which may be less accurate and time consuming. Artificial neural networks have the ability to approximate highly non-linear functions applied in robot control. The neural network approach deserves examination because of the fundamental properties of computation speed, and they can generalize untrained solutions. In the present work an attempt has been made to evaluate the problemof robot inverse kinematics of Stanford manipulator using artificial neural network approach. Finally two programs are written using C language to solve inverse kinematic problem of Stanford manipulator using Back propagation method of artificial neural network. In this network, the input layer has six nodes, the hidden layer has three nodes, and the output layer has two nodes. And also Elbow manipulator was modelled and its direct kinematics was analysed.
A Survey Report on Energy Protocols for Wireless Sensor Networks
Authors: Kaur Harjot , Tejpal Gaurav , P. Harpal
Published: June 2018

Instant  alarm  communities  contain  little  battery  driven  products  with confined  power  resources. After  implemented,  the  tiny  alarm  nodes  are often  unavailable  to  the  consumer,  and  ergo alternative  of  the  vitality  supply  isn't  feasible.  Ergo,  power  performance  is  just  a  important style concern that requires to be increased to be able to enhance the expected life of the network. Many system coating methods have now been planned to enhance the powerful time of a system with a restricted power supply. In this short article we propose a centralized redirecting project named Base-Station Managed Powerful Clustering Process (BCDCP), which blows the vitality dissipation consistently among all alarm nodes to enhance system life time and normal power savings. The efficiency of BCDCP is then in comparison to clustering-based systems such as for instance Low Energy Versatile Clustering Hierarchy (LEACH), LEACH centralized (LEACH-C), and Power-Efficient Getting in Warning Data Methods (PEGASIS). Simulation effects reveal that BCDCP decreases over all power use and increases system life time around their comparatives.