bluuebunny/crossref_metadata_2025 huggingface dataset:
Marathi Poem Classification using Machine Learning
Authors:   Computer Engineering, JSPM’s Rajarshi Shahu College of Engineering, affiliated to Savitribai Phule Pune University, Pune, India., Deshmukh Prof. Rushali A. , Kore Mr. Suraj ,   Computer Engineering, JSPM’s Rajarshi Shahu College of Engineering, affiliated to Savitribai Phule Pune University, Pune, India., Chavan Ms. Namrata ,   Computer Engineering, JSPM’s Rajarshi Shahu College of Engineering, affiliated to Savitribai Phule Pune University, Pune, India., Gole Ms. Sayali ,   Computer Engineering, JSPM’s Rajarshi Shahu College of Engineering, affiliated to Savitribai Phule Pune University, Pune, India., Adarsh Mr. Kumar ,   Computer Engineering, JSPM’s Rajarshi Shahu College of Engineering, affiliated to Savitribai Phule Pune University, Pune, India.
Published: August 2019

Poem a piece of writing in which the expression of feelings and ideas is given intensity by particular attention to diction (sometimes involving rhyme), rhythm, and imagery. It is used for showing different views. Every poet writes a poem with a different intention and different views. In the proposed system we have classified the poem according to its sentiments by using words of different categories. Machine learning algorithm SVM classifier is used for differencing the class of the poem. This system also enables the user to search the poem based on the poet name and poet type. For 341 poems of five categories 'Friend', 'Prem', 'Bhakti', 'Prerna' and 'Desh' accuracy achieved is 93.54%.
Sagarmala: A Beacon of Development in the Maritime Horizon of India
Authors:   Research Scholar, AMET Business School, AMET University, Chennai., George Cyril C. , Rengamani Dr. J. ,   Associate Professor & Research Supervisor, AMET Business School, AMET University Chennai.
Published: August 2019

India being one of the fastest growing economies in the world, the vital transport system is under pressure and challenges which are to be addressed on a long time perspective. The Maritime Sector has a greater role to play for the overall economic development of the country. Though Indian Ports handle about 95% of EXIM Trade volume, the proportion of merchandize trade in GDP is only 42%, when Germany’s share is 75% and European Union 70%. With new policy initiatives like Make in India programme, the share of merchandize trade in India’s GDP is set to increase considerably. The major role of India’s transportation system is movement of bulk commodities. The thermal coal alone constitutes about 60% of the freight volume on Indian Railways and 24% of Sea Port freight mix. Coal, POL, iron ore, fertilizers and container constitute 80% of the total export import freight movement across the country. The study aims to highlight the Sagarmala Project with regard to Maritime Horizon in India.
An Evaluation of Current Status of Associated Party Revelation of Listed Companies in Bahrain
Authors:   Associate Professor, College of Administrative & Financial Sciences, Gulf University, Bahrain., Bansal Dr. Atul
Published: August 2019

This paper is primarily concerned to investigate current status of Associated Party Revelation (APR) of listed companies in Bahrain. The paper extends the previous literature in this field and provides evidence on the APR represented by IAS 24 appliance among these companies and examines relationship between three different Associated Party Revelation (APR) -sales, borrowing, and purchases-, and three different factors -sector, company size, and company profitability-. The empirical study is based on a sample of 49 companies, due to limitations it was minimized to 35 companies listed in Bahrain Bourse. Observations of annual reports and Excel were used to measure current status of APR among companies. A comprehensive appliance of IAS 24 was found in all companies, and most RPTs existence and APR are to borrowing RPTs, followed by sales RPTs and purchases RPTs, when all other factors are constant. However, there is a relationship between APR of considered classifications of RPTs and listed companies’ sectors, size, as opposite to none existence of a relationship between classifications of RPTs and listed companies’ profitability. In general, this issue in accounting needs further studies with larger sample size, broader classifications of RPTs, and additional factors.
Parallel and Serial Graph Coloring Implementations with Tabu Search Method
Authors:   School of CSE, VIT University, Vellore, India., Jhaveri Rutanshu , Prasanth Narayanan ,   School of CSE, VIT University, Vellore, India., kumar K.Jaya ,   School of CSE, VIT University, Vellore, India., Navaz K. ,   Dept. of CSE, Annamacharya Institute of Technology and Sciences Tirupathi, India
Published: August 2019

One of the well-known property of graph is graph coloring. Any two vertices of a graph are different colors such that they are adjacent to each other. The objective of this paper is to analyse the behavioral performance of Tabu Search method through serial and parallel implementations. We explore both parallel and serial Tabu search algorithm for graph coloring with arbitrary number of nodes.
Segmentation of Lung cancer using Deep learning
Authors:   Department of information science and engineering, Ramaiah institute of technology, Bengaluru, Karnataka, India, S Vinushree , Gowda Rajaram M. ,   Department of information science and engineering, Ramaiah institute of technology, Bengaluru, Karnataka, India
Published: August 2019

Lung cancer is one among the deadliest and dangerous widespread diseases that create a major public health problem. The main aim of this paper is to basically segment the image or to identify the nodule present in the image and provide the accuracy of that segmented image. In this concern, proper segmentation of lung tumor present in the X-ray scans or Magnetic Resonance Imaging (MRI) or Computed Tomography (CT scan) is the first stone towards achieving completely automated diagnosis system for lung cancer detection of the patient. With the advanced technology and availability of dataset, the time required for a radiologist can be saved using CAD tools for tumor segmentation. In this work, we use an approach called data driven for lung tumor segmentation from CT scans by using UNet . In our approach we will train the network by using CT image with tumor having the slices of size (512 × 512 × 1). Our model has been trained and tested on the LUNA16 dataset considering 10 patients, provided by or used by Lung image database consortium (LIDC) and the image database resources initiative (IDRI). In this dataset, our proposed technique will achieve an average dice score of 0.8507. This can further be analyzed or used for other medical images to find the nodule or with other applications such as in brain image segmentation and liver image segmentation.
Text Mining with Apache Hadoop over different Hadoop Clusters Architectures
Authors:   Associate Professor, Department of Computer Science Engineering, Vignan's Institute of Information Technology,Andhra Pradesh, India., Lydia E. Laxmi , Sekhar Gorapalli Chandra ,   PG Schloar, Department of Computer ScienceEngineering,Vignan's Institute of InformationTechnology, Andhra Pradesh,India., Chevuru Madhu Babu ,   Asst. Professor,Department of Computer Science Engineering,VFSTR deemed to be University., Ramya Dasari ,   Junior Research Fellow, Departmentof Computer Science Engineering,Vignan's Institute of Information Technology, Andhra Pradesh, India., Kumar K. Vijaya ,   Associate Professor, Department of Computer Science Engineering, Vignan's Institute of Information Technology,Andhra Pradesh, India.
Published: August 2019

Big data is very much practical for real time applicational systems. One of the mostly used real time application worldwide are on unstructured documents. Large number of documents are managed and maintained through popular leadingBig Data platform is Hadoop. It maintains all the information at Hadoop Distributed File System in Blocks. Irrespective of datasize, BigData has opened its path to store and analyze the data which has consumed time. To overcome this, Hadoophas designed cluster process for large volumes of unstructured data computations. Three different cluster architectures like Standalone, Single node cluster and multi node clusters are considered. In this paper, Big Data allows Hadoop platform to boost the processing speed overlarge datasets through cluster architectures, which are studied and analyzed through text documents from newsgroup20 dataset.It identifies the challenges on text mining and its applications using ApacheHadoop.
Some Integral Results Associated with Generalized Hypergeometric Function
Authors:   Department of Mathematics, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India, Srimannarayana N. , Satyanarayana B. ,   Department of Mathematics, Acharya Nagarjuna University, Nagarjuna Nagar, Andhra Pradesh, India, Ramesh D. ,   Department of Mathematics, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India
Published: August 2019

In previous papers, it has been introduced a generalized hypergeometric function of two variables. The present paper aims at to derive different types of integral representations for the generalized hypergeometric function. The results derived here are very general in nature and are interesting and can obtain some known and new integrals for various polynomials. Each result is followed by its applications to the classical orthogonal polynomials.
Irregular Hexagonal shaped antenna for UWB Applications
Authors:   ECE Department, JNTU, College of Engineering, Kakinada, India., Kodavanti Pradeep Vinaik , PVY Jayasree ,   ECE Department, GITAM (Deemed to be University), Visakhapatnam, India, Rao B Prabhakara ,   Director Nano-Technology, JNTU, College of Engineering, Kakinada, India.
Published: August 2019

This paper presents the design of a microstrip line fed irregular hexagonal shaped monopole antenna. The antenna consists of a sliced semi-circular ground plane with a square slit below the feed line which exhibits an Ultra Wide Band (UWB) of 7.5GHz. A frequency notch band (5.1GHz – 5.57GHz) is obtained by introducing ‘U’ shaped slot on to the proposed antenna. The proposed monopole is fabricated, measured for reflection coefficient, radiation pattern and peak gain to validate the performance of the antenna.
Transient Response of RC Panel Protected with Slurry Infiltrated Micro Reinforced Concrete Jacket Under Blast Loading
Authors:   Department of Applied Mechanics, Shri K J Polytechnic, Bharuch, India., Shukla Palak J , Desai Atul K ,   Department of Applied Mechanics, Sardar Vallabhbhai National Institute of Technology, Surat, India., Modhera Chetankumar D ,   Department of Applied Mechanics, Sardar Vallabhbhai National Institute of Technology, Surat, India.
Published: August 2019

With increase in terrorist attacks, there are definite priority to protect the important infrastructure facilities against possible terrorist attacks. In order to improve blast resistance capacity of RCC panel, in present study, it was strengthened with Slurry Infiltrated Micro Reinforced Concrete (SIMRC) jacket. . The SIMRC jacket strengthened RC panel was analyzed under blast load scenario using finite element method based application, ABAQUS. The dynamic behavior of concrete and grout of SIMRC was modeled using concrete damaged plasticity model. The structural response of RC panel without any strengthening was compared with SIMRC strengthened RC panel to investigate effectiveness of SIMRC jacketing to resist blast load. Parametric study was carried out considering SIMRC jacket on single side or both side of RC panel, with different ratio of thickness of jacket to thickness of RC panel (t/D) and different percentage of wire mesh reinforcement for jacket. Simulation of various analysis results were presented in form of displacement time history, distribution of tensile/compressive damage variable explaining the pattern of failure in the RC panel, comparison of distribution of tensile damage variable on front and back jacket, compression damage variable of RC panel. It was observed that for panels with strengthening displacement and damaged areas are reduced as compared to conventional RC panel. The increase in thickness ratio (t/D), percentage of wire mesh reinforcement in jacket also contribute to increase blast resistance capacity of SIMRC Jacket. It was also observed that the jacketing on both side of RC panel is more effective in reducing the displacement and the damage is observed to be spread over the support areas. Obtained results through present study demonstrate the effective use of SIMRC jacketing as blast mitigation measure.
The Grid bus Toolkit for Service Oriented Grid and Utility Computing
Authors:   Department of Computer Science, Marudhupandiyar College of Arts and Science, Thanjavur, India., Sundaram Dr. P. Meenakshi
Published: August 2019

Matrices go for misusing collaborations that outcome from participation of self-governing circulated substances. The collaborations that outcome from framework participation incorporate the sharing, trade, determination, and collection of geologically dispersed assets, for example, PCs, information bases, programming, and logical instruments for taking care of huge scale issues in science, building, and trade. For this collaboration to be manageable, members need financial impetus. In this manner, "motivating force" systems ought to be considered as one of key structure parameters of Grid designs. In this article, we present a diagram and status of an open source Grid toolbox, called Grid bus, whose engineering is generally determined by the prerequisites of Grid economy. Grid bus advances give administrations to both computational and information matrices that power the developing e-Science and e-Business applications.
Application of Higher Order Sliding Mode Observer and Super Twisting Observer based Super Twisting Control in Hydroelectric power plants
Authors:   Research laboratory of Energy, Materials, Modeling and Method, FGI, University of Douala, Cameroun, Aurelien Yeremou Tamtsia , Hervé Samba Aimé ,   Research laboratory of Energy, Materials, Modeling and Method, FGI, University of Douala, Cameroun, Léandre Nneme Nneme ,   Research Laboratory of Computer Science Engineering and Automation, HTTTC, University of Douala, Cameroun
Published: August 2019

Speed control of hydro Turbine is an important issue and a shorter settling time is desired. In case of operation of drives with speed sensors, the performance of the drive is not satisfactory. To get satisfactory performance, a sensorless speed control system for hydro Turbine driving a synchronous generator in the hydroelectric power plants is developed. This work, we apply the approach of two methods of regulation: Super Twisting Control (STC) based on super-twisting observer (STO) and Super Twisting Control (STC) based on Higher Order Sliding Mode Observer (HOSMO). Simulation model in the presence of stochastic disturbance has been established in Matlab -Simulink. Simulation results demonstrate and validate the productiveness and performances of the proposed control method.
A Big Data Framework for Quality Assurance and Validation
Authors:   Assistant Prof (Sr.), SCSE, VIT University, Chennai., S Nachiyappan , S Justus ,   Associate Professor, SCSE, VIT University, Chennai.
Published: August 2019

Big data is a new technology, which is defined by large amount of data, so it is possible to extract value from the capturing and analysis process. Large data faced many challenges due to various features such as volume, speed, variation, value, complexity and performance. Many organizations face challenges while facing test strategies for structured and unstructured data validation, establishing a proper testing environment, working with non relational databases and maintaining functional testing. These challenges have low quality data in production, delay in execution and increase in cost. Reduce the map for data intensive business and scientific applications Provides parallel and scalable programming model. To get the performance of big data applications, defined as response time, maximum online user data capacity size, and a certain maximum processing capacity. In proposed, to test the health care big data . In health care data contains text file, image file, audio file and video file. To test the big data document, by using two concepts such as big data preprocessing testing and post processing testing. To classify the data from unstructured format to structured format using SVM algorithm. In preprocessing testing test all the data, for the purpose data accuracy. In preprocessing testing such as file size testing, file extension testing and de-duplication testing. In Post Processing to implement the map reduce concept for the use of easily to fetch the data.
Security Advantages of Cloud ERP and its Databases in Higher Education
Authors:   Research Scholar*, Dept., of Computer Science, PRIST University, Thanjavur, 613 403, Tamilnadu, India., T Amudha , K Saravanan ,   Dean, Faculty of Computer Science, PRIST University, Thanjavur, 613 403, Tamilnadu, India.
Published: August 2019

An EduCon is a Lead Management cum Customer Relationship Management Software for Educational Consultants. It is cloud-based software hosted on Linux environment. Developed on Php with database on MySQL and Mongo DB, it is heavy-duty software which can handle 500 instances at once with 1 lakh+ active records. EduCon has a strong communication system with bulk SMS and bulk Email server integration with Text Guru and Mail Chimp respectively. This communication system is used to contact leads and send notification and transactional messages. This communication system is also used to take after service feedback from leads.
Autonomous Gas Detection using UAV with GPS Tracking System
Authors:   Associate Professor, Department of ECE, KKR & KSR INSTITUTE OF TECHNOLOGY & SCIENCES (KITS), Guntur, India., Naik Dr. M.Rambabu , Khamuruddeen Dr. Shaik ,   Associate Professor, Department of ECE, KKR & KSR INSTITUTE OF TECHNOLOGY & SCIENCES (KITS), Guntur, India., Venkatrao Mr. T. ,   Assistant Professor, Department of ECE, Hyderabad Institute of Technology and Management (HITAM), Hyderabad, India.
Published: August 2019

The main desired of this proposed system is fuel Detection and Mapping with Unmanned Aerial automobile. Unmanned aerial motors are or drones are in recent times very popular and widely utilized in scientific studies for disbursed facts collection and far flung sensing. A cell robot ready with embedded systems can accumulate environmental samples with a miles denser spatiotemporal resolution than a human operator additionally resulting in a safer running circumstance Unnamed aerial motors are in recent times largely employed in civil packages . The main package is the environmental monitoring. We suggested a battery powered Nano-ardino board that is embedded with any type of drone. We assess the usefulness of the sensing technique by way of subject experiments using the prototype as payload of a quadcropter. This design is useful for any sort of mobile carrier (UAVs or wheeled robots) way to its less weight and portable shape aspect.
A System to access IRNSS data from different Receiver stations using Cloud Computing
Authors:   Department of Electronics and Communication Engineering, School of Engineering and Technology -Jain (Deemed to be University), Bangalore, India., Shyamsundar Gawas Santoshi , Raju Dr. G. ,   Department of Electronics and Communication Engineering, School of Engineering and Technology -Jain (Deemed to be University), Bangalore, India.
Published: August 2019

Data storage on hard drives of laptop/ datacentres has become a relatively outdated technique as it involves risk of data backup, increase in price due to additional hard drives and management of the data. The world is now progressing with latest technologies with storage on hard disks and datacentres being replaced by the storage on the cloud. When data is generated in continuous form, no matter how small it is, there ought to be a provision to store the data in a place where safety is ensured and storage capacity never runs out. Also since the data is very crucial and we cannot take a chance of data falling in wrong hands, permission to access the data is given only to the authorized users thereby ensuring safety of the data. These things can be ensured using cloud computing which is the best platform for maintaining, storing and monitoring the data. In case of IRNSS/ NavIC data, a requirement of collecting and storing large quantity of scientific data exists. Apart from this a number of stations across the country are involved in this mission from where these data are to be stored. They are also normally required to be accessed by other users in the country. The scientific parameters obtained from the satellite are stored in the C drive of laptop by means of Receiver. The paper aims to device a system wherein the laptop will be replaced by a gateway and the storage in the C drive will be replaced with the storage in the cloud. The data coming from the satellite will be accessed by the gateway and after certain period of time, the data will be stored onto the AWS cloud thereby eliminating the need of laptop and additional hard drives.
Sentiment Analysis of Facebook Posts using Hybrid Method
Authors:   Department of Computer Science , Banasthali Vidyapith, Rajasthan, India., Sinha Swarnangini , Saxena Dr. Kanak ,   Department of Computer Application, Samrat Ashok Technological Institute, Vidisha, M.P., India., Joshi Dr. Nisheeth ,   Department of Computer Science, Banasthali Vidyapith, Rajasthan, India.
Published: August 2019

Social Media is a popular medium of communication amongst youngsters to remain connected with their friends. Facebook is one of the most preferred Social Media Sites which store the gigantic amount of data which can be explored for Sentiment Analysis. In this study, we have applied hybrid analysis approach which combines the best features of a lexical analysis and SVM machine learning classification algorithm on Facebook Posts. The analysis is further improved by incorporating language discourse features to detect intensity of sentiment and the prominent emotions expressed through these posts.
To Identify the Improvement Pattern of Self-financing Arts and Science College Student’s Academic Performance using Classification Algorithms
Authors:   Research Scholar, Department of Computer Science, Periyar University, Salem, Tamilnadu, India, Kumar R. Senthil , Arulanandam K. ,   Assistant Professor and Head, Department of Computer Science, GTM College, Gudiyattam, Tamilnadu, India.
Published: August 2019

The aim of this research work is to identify the improvement pattern of academic performance of final year students of self-financing arts and science colleges. The data was collected from the students of nine Arts and Science Colleges. The data contains demographic, socio-economic, residence and college location, subjects, infrastructural facilities, faculty concern and self-motivation attributes. The classification algorithms like Naïve Bayes, Decision tree and CBPANN are applied on the student’s data. The outcome of the research can be used to improve the academic performance students studying in self-financing arts and science colleges located in educationally backward areas. The experiment results shows that the accuracy value for Naïve Bayes algorithm is 92.63%, accuracy value for Decision Tree algorithm is 96.41% and accuracy value for CBPANN algorithm is 99.49%
Artificial Immune System Based Improved Secure-Aware Wormhole Attack Detection in MANET
Authors:   Department of Computer Science, Chikkanna Govt., Arts College, Tirupur, Tamilnadu, India., Devi M. Sella , Lathamaheswari T. ,   Department of Computer Application, Sri Krishna College of Engineering & Technology, Coimbatore, Tamilnadu, India., Duraisamy S. ,   Department of Computer Science, Chikkanna Govt., Arts College, Tirupur, Tamilnadu, India.
Published: August 2019

Typically, the most significant challenge in Mobile Adhoc Network (MANET) is detecting the wormhole attacks in the network during communication that degrades the overall network performance. Many routing protocols have been developed to detect and prevent the wormhole attacks based on the requirements of hardware, synchronization clocks, etc. To avoid those requirements, Improved Secure-aware Wormhole Attack Detection (ISWAD) technique was proposed by considering the maximum end-to-end delay and path length from source to the destination node. However, it requires more parameters to further increase the detection accuracy. Therefore in this article, an Artificial Immune System (AIS) based ISWAD is proposed to detect the wormhole attacks efficiently. Initially, a scalable and distributed scheme is applied to avoid single point failures and high mobility by using the sequential probability ratio test. In this scheme, system parameters are also considered with the maximum end-to-end delay and path length. To further improve the detection rate, these parameters are learned by the AIS to detect the wormhole attacks through the network precisely. After the wormhole links/nodes are detected, an alternative path is chosen from the routing table to transmit the data from source to the destination without any packet loss. Finally, the simulation results demonstrate that the proposed technique achieves better detection rate than the other wormhole attack detection techniques.
Developing the Thai Regional Dialect Based on Semi-automatic Technique
Authors:   Faculty Department of Computer Science Program, of Science and Technology, Suan Sunandha Rajabhat University. Thailand., Kularbphettong Kunyanuth
Published: August 2019

A dialect is the specific language of a particular locality that has a unique style, both words and accents. It shows the identity culture and the way of life of people in each region of Thailand and it should be treated to continue to be a national heritage. This research presents the prototype of four regional dialect of Thai based on smart phone by using Ontology technique. The application is easily search and finds the term of dialect words for each region. To develop ontology, a semi-automatic approach was used to build domain ontology from spoken corpus in Thai dialect. The domain ontology is created to handle terms and relationships to describe the features of four Thai regional dialect words. Also, the longest matching approach was used to increase the capability of the system to Thai word segmentation. The empirical results showed that the prototype can efficiently provide satisfied information for users in information searching. System testing technique and questionnaires were needed to evaluate system work and user achievement. The results shown that user satisfaction, both experts and users, was fulfilled the system performances and easily found required information.
Inclusion of Information and Communication Technology to MSMEs Strategic Planning in Indonesia
Authors:   Entrepreneurship Department, BINUS Bandung School of Creative Technology, Bandung, Indonesia., Inayati Tutik , Riantono Ignatius Edward ,   Economics and Communication Department, BINUS University, Jakarta, Indonesia., Tjoe Tjia Fie ,   Entrepreneurship Department, BINUS Bandung School of Creative Technology, Bandung, Indonesia.
Published: August 2019

Micro, Small and Medium Enterprises (MSMEs) have become one sector in Indonesia that are important for economic development. However, the system for MSMEs are unknown and unconstructed, especially with the development of information and communication technology that affect the sustainability and productivity of MSMEs. Therefore, this study’s first objective is to build a model that contains MSMEs model in macroscopic view with the involvement of ICT to enhance income for MSMEs. Second objective is to determine what recommendations should be given to raise the economic development received from MSMEs involvement according to the model. The results are a causal loop model is built based on previous researches about MSMEs that combine factors and important elements in the system. Based on the diagram, there are three recommendations given to the Government: trainings to MSMEs about ICT for their businesses, continuing to apply tax reduction for MSMEs, and enhancing their market shares by internalization process.
Stability analysis of Sub-threshold 6T SRAM cell at 45 nm for IoT application
Authors:   Department of Electronics & Communication Engineering, GLA University, Mathura, India., Kumar Harekrishna , Tomar V.K ,   Department of Electronics & Communication Engineering, GLA University, Mathura, India.
Published: August 2019

In ultra-Low power application the supply volt- age in the circuit is as minimum as possible to correct perform the operation. Reducing the supply voltage below the threshold Voltage of transistor is known as sub threshold voltage that affects the delay as well as stability parameter of the Circuit. In this paper body biased technique is applied at standard 6T SRAM which improve the static Current Noise Margin(SINM) and Write trip Current by the factor of 4.15 times and 4.7 times respectively from the Conventional (conv) 6T SRAM. SINM defined the read stability whereas WTI are write ability Parameters of the circuit. In the Sub threshold region delay parameter of the circuit increased, but in this paper delay and power of the proposed circuit are going to be degrades 2.34 times and 4.39 times from the conv. 6T SRAM at different Process Corner i.e. the Performance of the device get increased. In this paper conventional (Conv.)6T and Proposed(PP) 6T both have same W/L ratio at supply voltage of 400mv.
Effects on Scour for Different Foundation Geometry of Compound Circular Bridge Piers
Authors:   M.Tech. Student of Civil-Hydraulics Engineering, Bharati Vidyapeeth (Deemed to be) University College of Engineering, Pune, India., Sharwan Anjali , Nimbalkar P.T. ,   Faculty of Civil Engineering, Bharati Vidyapeeth (Deemed to be) University College of Engineering, Pune, India.
Published: August 2019

This experimental study examines the variation of scour depth with time of Clearwater scour condition around compound circular bridge piers for steady flow conditions. Most of the circular bridge piers are resting on the bigger diameter caissons known as the compound circular bridge piers and are widely used in India for construction of road and railways bridge across the rivers. In past studies, it has been observed that most bridge failure occurs because of scouring due to flowing water around a bridge pier across a river. Most of the past studies were done on the uniform bridge pier and a very few studies have been done so far on scouring around non-uniform bridge piers. Estimation of scour depth is required for the economical and a sound design of bridge pier foundation. In present study, an experimental investigation has been done in a tilting flume for computation of rate of change of depth of scour with time at two different models of compound circular bridge piers by varying the foundation top position with respect to level of bed, i.e., 1. The foundation top at the level of bed, and 2. The foundation top below the level of bed (viz. 10mm, 20mm, 30mm and 40mm) for uniform sediments.
A Quantitative Analysis of Defect Prevention in E-commerce Projects
Authors:   Research Scholar, Department of Computer Science and Engineering,, VELS University, Chennai 600 117, India, Sudarshan R. , Srivatsa Dr. S. K. ,   Professor, Department of Computer Science and Engineering, Anna University, Chennai 600 025, India.
Published: August 2019

E-commerce is a transaction of buying or selling online. It is a methodology of modern business which addresses the need of business organizations, vendors and customers to reduce cost and improve the quality of goods and services while increasing the speed of delivery [1]. In the emerging global economy, e-commerce and e-business have increasingly become a necessary component of business strategy and a strong catalyst for economic development. E-commerce promises better business for Small and Medium Enterprises (SME) and sustainable economic development for developing countries [2]. With the advent of e-commerce business, many software providers have started developing e-commerce solutions. However, the emphasis has to be given on developing defect free e-commerce portals. The concept of defect removal effectiveness and its measurement are central to software development. As per Software Engineering Institute Website defect removal is one of the top expenses in any software project and it greatly affects schedules [3]. According to Caper Jones, for improvements in productivity, cost, and schedule, it is important to use better defect prevention and removal techniques [4]. This quantitative analysis is done on five e-commerce projects. The lessons learnt from one project are fed into the development process of the subsequent projects that helped in preventing the similar defects. This facilitated in reduction in the count of User Acceptance Test defects, in the projects developed subsequently.
Optimal Number of Hidden Neuron Identification for Sustainable Manufacturing Application
Authors:   Manufacturing Section, Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim, Malaysia., Noor Ahamad Zaki Mohamed , Fauadi Muhammad Hafidz Fazli Md ,   Faculty of Manufacturing Engineering, Universiti Teknikal Malaysia, Melaka, Malaysia., Jafar Fairul Azni ,   Faculty of Manufacturing Engineering, Universiti Teknikal Malaysia, Melaka, Malaysia., Bakar Muhamad Husaini Abu ,   Manufacturing Section, Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim, Malaysia.
Published: August 2019

There were 50 data sample obtained from industries in Malaysia that practice sustainable manufacturing. Input file is presented in matrix 4x50 and 1x50 matrix as target file. However, there is no suitable number of hidden neuron that can be applied for the neural network model with 4 inputs and 1 output. An experiment has been done to identify the suitable hidden neuron through the observation of values from MSE and Regression. The hidden neuron must be no overfitting. The same goes for output and targets value must have close or linear relationship. The sample of tested hidden neuron is from 5 to 40 hidden neurons. The final answer obtained after look into Mean Square Error (MSE) values, Regression values and plots is hidden neuron 29. Hidden neuron 29 shows positive result in all criteria and should be implemented for this type of neural network model.
Define the Factors Affecting the Shift to Cloud Computing in Malaysian Universities
Authors:   Universiti Sultan Zainal Abidin,, Albahaloul Hajer Ahmed , Mohamad Fatma Susilawati ,   Universiti Sultan Zainal Abidin., Meftah Khaled ALhadi ,   Universiti Sultan Zainal Abidin.
Published: August 2019

Cloud computing is the way to increase capacity without vital investment in new infrastructure, training new personnel, or licensing new software [1]. As higher educational sectors are under growing pressure, and to provide more for quality education [2] in the current financial crisis and the increasing need, universities can utilize the potential benefits of cloud computing to provide improved services with few resources [3].This paper presents a comprehensive study on the obstacles and advantages in cloud computing which affected at shifting to cloud computing services in Malaysian universities, and comparison of this present research results with the previous studies.
Performance Analysis of Pentagon Shaped Microstrip Patch Antenna with Different Substrate Materials
Authors:   Associate Professor, Department of Gayatri Vidya Parishad College, Rushikonda, Visakhapatnam, India., Rao Dr. P. A. Nageswara , Sukanya Mrs. Y. ,   Associate Professor, Department of Vignan’s Institute of Information Technology, Duvvada, Visakhapatnam, India., Vijaya Ms. T. ,   Department of Raghu Engineering College, Vizianagaram, Andhra University, Visakhapatnam, India., Prudhivi Mallikarjuna Rao ,   Professor, Department of Electronics & Communication Engineering, Andhra University, Visakhapatnam, India.
Published: August 2019

Microstrip patch antennas are the handiest antennas for the present trend of applications in communications. The well-known beneficial mechanical characteristics (low profile, light weight, planar but conformal to non-planar structures, easy to fabricate), flexibility in terms of electromagnetic parameters like radiation pattern, gain, impedance, polarization and low cost are the key features for the success of such antennas. High efficiency antennas are essential to cater the requirements of various military oriented space vehicles like spacecraft, aircraft, satellite and missile applications where dimensions of installation are important as size, weight, performance, ease of installation and easy integration to the circuit. Microstrip antenna array are most apt for such applications, but the limitation of such antennas are gain and the bandwidth. The order of gain is low for patch antenna which is generally in the choice of 1-2dB.To increase gain and bandwidth factors the utilization of material with low dielectric constant having greater thickness is employed. However, this generates surface waves. So, proper thickness of substrate is selected. In this paper, microstrip patch having pentagon shape uses probe feed technique for various substrate materials such as Roger’s RT/Duroid 5880 (tm), Roger’s RO4003 (tm) and FR4 epoxy. The results of the three substrate designs are acquired for the resonant frequencies 6.5 GHz, 6.6 GHz, and 6.7 GHz respectively. The whole analysis is carried out using Ansoft HFSS software version 17.0. The characteristics like bandwidth, amplification factor (gain), return loss and radiation patterns of the different antenna are assessed, related and the same are presented at the end.
Low Power High Speed Ternary Content Addressable Memory
Authors:   Department of Electronics and Communication Engineering, GMR Institute of Technology, Guntur, India., Datti Venkata Ramana , Sridevi P.V. ,   Professor, Department of Electronics and Communication Engineering, Andhra University, Visakhapatnam, India.
Published: August 2019

Compared to Binary Content Addressable Memory (BiCAM) there are many applications for Ternary Content Addressable Memory (TCAM) as a search engine. But TCAM consumes more power than BiCAM. So, the saving of TCAM power consumption is the main objective of numerous designs. Precharge phase of the TCAM leads to more power consumption. Newly, a precharge free NOR type BiCAM has been suggested but it takes more time for its operation. Here, precharge free high speed NOR type TCAM is proposed. The proposed TCAM architecture takes power same as precharge free NOR type TCAM but its delay has been reduced by 84% . Simulations performed with cadence 45-nm technology at the supply voltage of 1V.
Internet of Things based Real time Water Monitoring System
Authors:   ECE Department, VEL TECH, Chennai, India, Raja Dr.L. , Santhi Dr.G. ,   ECE Department, VEL TECH, Chennai, India, Periasamy Dr.P.S. ,   ECE Department, K.S.R.College of Engineering, Tiruchengode ,India.
Published: August 2019

In real time computing, the embedded systems are a collection of electrical and mechanical systems with a association of small computers. The advancement of such electro mechanical systems with the environment is crucial in today’s scenario. Nowadays, the environmental pollution creates hazardous effect on the living creatures. The harmful pollutants should be identified and should be evacuated for the survival of mankind and other living organisms. Among the environmental pollutions, water pollution is more contaminated than air and soil. The water pollution damages the individual species and all biological creatures. The qualitative analysis of water is a thrust area of research with intelligent systems. At present, testing equipment are used in the laboratories to perform investigations with various water samples. These laboratory analysis make use of chemicals, reagents and sensors for determining the suitability of water for drinking purposes. Such laboratory methods are time consuming and are relatively expensive. To address this issue, quality of drinking water needs to be measured and monitored in real time for the safety of the people. This paper attempts to develop a low cost real time monitoring system to measure various parameters such as PH value, turbidity level and temperature. The measured values are processed through Raspberry Pi 3 module. The results are validated with real-time samples collected from various places and conveyed to the remote user through cloud server.
Level of Service of Roads in Vijayawada
Authors:   Asst Professor, Department of Civil Engineering, Lakireddy Bali Reddy College of engineering, Mylavaram, A.P, India., kumar M.Manoj , Rao S.Hari Prasanna ,   student, Department of Civil Engineering, Lakireddy Bali Reddy College of engineering, Mylavaram, A.P, India., Lalithya B. ,   student, Department of Civil Engineering, Lakireddy Bali Reddy College of engineering, Mylavaram, A.P, India., Bhargavi P.Sai ,   student, Department of Civil Engineering, Lakireddy Bali Reddy College of engineering, Mylavaram, A.P, India., kumar A.Pavan ,   student, Department of Civil Engineering, Lakireddy Bali Reddy College of engineering, Mylavaram, A.P, India.
Published: August 2019

One of the most challenging problems in city management in a developing city like Vijayawada is Traffic Congestion. Being a part of the proposed capital city of Andhra Pradesh Amaravati, the vehicular population in Vijayawada as recorded the tremendous growth. With increase of Vehicular population (2015) as 3.32% of Transport vehicles and 7.97% of Non-Transport vehicles (as of data.gov.in) it has now became an alarming issue to develop the demand based transportation infrastructure. The traffic congestion not only disrupts the business activities but also reduces productivity level of the city. The traffic congestion, effect the increase in possibility of accidents because of weak traffic management in the city. So it is now very essential to give the solution to ill effects of traffic congestion in Vijayawada. This paper describes the traffic congestion problem for the busiest roads of the Vijayawada city i.e.., Eluru and Bandar road. The traffic congestion of these roads is determined by the level of service of the arterial roads (LOS) through Average speed, Traffic volume and Traffic Capacity. Also the topological features of the city and solution to the problems triggering traffic congestion are suggested.
Impact of GST on the Exports of Carpets & Floorings Industry in India
Authors:   Research Scholar, Department of Commerce, Maharaja Surajmal Brij University, Bharatpur., Garg Yogesh , Anand Dr. Neeta ,   Professor, Department of Commerce, Maharaja Surajmal Brij University, Bharatpur.
Published: August 2019

This paper focuses on the impact of goods & service tax on the exports of Indian carpets & floorings industry. The GST has not only provided full set off for input tax but also abolished the burden of several existing taxes viz Central Excise Tax, VAT/Sales Tax, Service tax etc. There are many ambiguities about the post GST implementation effect. This study is an attempt to find out the significant impact of GST on the average exports of Carpets & floorings industry for Pre & post two consecutive years. Paired t-test analysis is applied on the data using SPSS Software and results are derived. It is crucial to find out the potentiality and practicability of the transition from VAT to GST (Goods and Service tax). Hence, this study assumes greater significance for academicians and policymakers.
Spatio-Temporal Epidemiological Analyses of Sickle Cell Disorder of a Tribal Region in Odisha, India
Authors:   Department of Zoology, Centurion University of Technology and management, Odisha, India., Mahapatra Lipika , Swain Dr Sitaram ,   Department of Zoology, Centurion University of Technology and management, Odisha, India.
Published: August 2019

Now sickle cell disease (SCD) is an important health issue in many countries. India has been ranked as the second worst affected country in terms of predicted SCD births. SCD is an abnormal of the hereditary haematological disorder. The study was including 57 number of SCD patients which belong to the tribal region. These patients experienced with several symptoms like fever, loss of appetite, abdominal distension, myalgia, pain in legs, jaundice and black stool. Female individuals were more prevalent to SCD in compare to male. The SCD patients with an average age of 12.99 (±11.66) years. There was found significant difference in between the male individuals at (p<0.01). In these patients the concentration of haemoglobin, iron and ferritin also varies. In ABO blood group O blood group more prevalent than other blood group. SCD often causes complications on many organs. As the prevalence is more common in children, this will affect the socioeconomic status of a nation. This becomes a major challenge for healthcare professionals. Proper diagnosis and awareness for SCD in susceptible region is necessary for the better management and control of this disease. A well-designed epidemiological analysis will be necessary for better treatment and prevention of this disease.
Sound Absorption Characteristics of Ternary Concrete using SCBA and Silica Fume as Partial Replacement of Cement in Concrete
Authors:   Assistant Professor, GITAM (Deemed to be University), Visakhapatnam-530045, India, Kumar Santhosh , KVGD Balaji ,   Professor, GITAM (Deemed to be University), Visakhapatnam-530045, India, Raju K. Prudhvi ,   M.Tech Student, (GITAM Deemed to be University), Visakhapatnam-530045, India
Published: August 2019

The ambient noise from transportation and in metro politan areas due to tremendous inhabiting density, it promotes infelicitous noise threats, which originates severe health problems to humans and other living organisms. The present study focus on the employment of industrial and agricultural misuse can be adopted in concrete as partly replacement of cement to reduce the cost, also improves the concrete properties and reduce environmental pollution. The main objective is to assess sound absorption of TBASF concrete by partly replace with cement with SCBA (0%, 5%, 10%, 15%, 20%, and 25%) and additionally 10% Silica Fume. Compressive strength, Split tensile strength, Flexural strength tests were conducted for 7days, 28days, and 56days and sound absorption test was conducted for 7days and 28days. The optimum strength obtained for the mix TBASF15 at all the ages. Further, the results of the sound absorption coefficient (α) of SCBA Silica Fume concrete compared with the sound absorption coefficient (SAC) (α) of parent concrete is carried out by using the impedance tube.