bluuebunny/crossref_metadata_2025 huggingface dataset:
Data Analytics for Substation Overloading Assessment of Solar Integrated Distribution System
Authors:   Electrical Engineering Department, JK Lakshmipat University, Jaipur, India., Sharma* Jagdish Prasad
Published: May 2020

It is an important concern to supply uninterrupted power to consumer under competitive environment. Therefore, available reserve margin of substation transformer is utmost concerns for power utilities due to its direct effects on power quality, reliability and revenue loss. This research work focus on data analytics application to predict substation overloading assessment for integrated distribution system. This paper has developed three adaptive neural fuzzy interface system (ANFIS) to predict the available substation reserve margin by considering base case and different solar integration scenarios. The ANFIS models were trained and tested using stochastic data obtained from load flow computation for a modified IEEE 37 feeder. To train ANFIS models, input variables are taken as “voltage unbalance factor, feeder power loss to load ratio, maximum branch loading, voltage deviation, and minimum power factor”, while target variable is taken as substation reserve margin”. All predications of ANFIS models are compared with those values obtained from load flow computation. It was found that predicated results have good agreement with load flow computational data and R-squared value fall in the range of 0.9182 to 0.9173. The proposed research work is useful to predict operational performance of integrated solar distribution system in smart grid environment.
Human Cognitive Bias Identification for Generating Safety Requirements in Safety Critical Systems
Authors:   Department of Science in Information Technology, Shinawatra University, Thailand., Ali* Salah , Sujarae Aekavute ,   Instructor, Department of Science in Information Technology, Shinawatra University, Thailand.
Published: May 2020

Safety critical systems are systems whose failure could result loss of life, economic damage, incidents, accidents or undesirable outcome, but it is not doubt that critical system safety has improved greatly under the development of the technology as the number of hardware and software induced accidents has been definitely reduced, but number of human deviations in their decision making found in each accident range remains more. We deeply reviewed traditional human error approaches and their limitations and propose approach of Human Cognitive Bias Identification Technique (H-CoBIT) that identifies, mitigates human potential cognitive biases and generates safety requirements during the initial phase of system Design. This proposed method, analyses the design of safety critical systems from a human factors perspective. It contributes system analyst, designers, and software engineers to identify potential cognitive biases (metal deviations in operator’s decision-making process) during the system use. To ensure the validity of the proposed method, we conducted an empirical experiment to validate the method for accuracy and reliability comparing different experimental outcomes using signal detection theorem.
Securing Personal Health Records using Advanced Multi-Factor Authentication in Cloud Computing
Authors:   Research Scholar, Department of Computer Science, Periyar University, Salem, Tamil Nadu., S* Meena. , Gayathri Dr.V. ,   Assistant Professor, Department of Pee Gee College of Arts and Science, Dharmapuri, Tamil Nadu.
Published: May 2020

Cloud computing is a novel prototype to provide services via the internet. Most of the fields like banking, industries, educational institutions, and healthcare are storing their applications, data and accessing it through cloud because of its versatility and affordable price. Even though cloud has a many special feature, data security and privacy are the most important issues in a cloud background. Especially in healthcare sector, according to recent report numerous amount of healthcare data breached by unknown websites and hackers, and much healthcare information breaches are occurring around the world for different purposes and still it is vulnerable on account of storing and accessing data through third party cloud servers. Due to many attacks on personal health records data security and privacy in cloud environment, it is a primary task to concentrate on solving this issue because such health information are really sensitive, and playing vital role in decision-making of patients health which wrong decision may spoil patient’s health, life along with health institution’s reputation. To ensure security and privacy, data encryption and authentication are the key technologies which are a technique to secure data and create proof identities to obtain access of data in the system. Conventional password authentication does not provide sufficient security for information to the new means of attacks. So, this paper introduces a framework for data encryption using standard RSA and Hash function and advanced multi factor authentication technique to cloud data access which authenticates the user based on different factors such as contextual, signcryption and iris bio-metric features. This prototype to cloud computing is implemented using open source technology. The proposed advanced system minimizes intermediate data access due to the complexity of key access and strong authentication. The performance of the system has been evaluated using experimental results such as encryption and decryption time, authentication accuracy, execution time.
Space Complexity of C Compiler and Lex Tool
Authors:   UG Student, Department of Computer Science and Engineering in Periyar Maniammai Institute of Science & Technology (Deemed to be University), Thanjavur, Tamilnadu, India., Abirami* N. , Aishwarya S ,   UG Student, Department of Computer Science and Engineering in Periyar Maniammai Institute of Science & Technology (Deemed to be University), Thanjavur, Tamilnadu, India., Asfia Z.Mahaboob ,   UG Student, Department of Computer Science and Engineering in Periyar Maniammai Institute of Science & Technology (Deemed to be University), Thanjavur, Tamilnadu, India., Suseela S. ,   Assistant Professor, Department of Computer Science and Engineering in Periyar Maniammai Institute of Science & Technology (Deemed to be University), Thanjavur, Tamilnadu, India.
Published: May 2020

We can never stop stressing on the purpose and the importance of the compiler in the field of computer science. compiler does translates the high level programs like C,C++,java ,python and so on into low level language (machine language ) which in turn computer processor use. Though the job of the compiler is to translate, depending on the properties of the programming languages the time complexity, space complexity and some of the other characteristics varies accordingly. Thus the purpose of the paper is concentrated on comparing such factors significantly the C compiler and the Lex tool. Our study reveals the best memory consumption among c compiler and lex tool.
A Robust Hybrid Biometric Face Recognition Payment System
Authors:   Department of Computer Science and Engineering, JNT University, Hyderabad, India., Mutteneni* Yashasvi , Kasireddy Shirisha ,   Department of Computer Science and Engineering, JNT University, Hyderabad, India., Achanta Anurag ,   Department of Computer Science and Engineering, JNT University, Hyderabad, India
Published: May 2020

Modern civilization has always been endeavoring to achieve a cashless and digital society. The emergence of payment methods like cards, net banking, and digital wallets have enabled the possibility of cashless and cardless online and offline payments. However, these payment methods are at the risk of theft and sometimes may require users to memorize different passwords. Biometric Payments may seem like a viable option but, the fingerprints can be spoofed and dirt particles may damage the fragile sensors. Face recognition payments are more frictionless than the present card, mobile and biometric payment systems as they do not require a device to carry out the transaction. It is also reliable, secure and efficient. Hence, saving time for both the customer and retailer. The previous system used Eigenfaces and Euclidean Distance for face recognition payment. Our proposed system uses Haar Cascades for face detection and Local Binary Patterns Histogram(LBPH) for face recognition. Our proposed approach is more efficient with respect to parameters such as noise reduction, threshold, training time, confidence and accuracy as it achieves a higher noise reduction and accuracy with a lower threshold, training time and confidence.
Optimal Synthesis of six bar Mechanism using Particle Swarm Optimization
Authors:   Ph.D scholar, Dept. of Mechanical Engineering, F/o Engineering & Technology, Jamia Millia Islamia, New Delhi, Qaiyum* Abdul , Mohammad Aas ,   Professor, Dept. of Mechanical Engineering, F/o Engineering & Technology, Jamia Millia Islamia, New Delhi
Published: May 2020

This paper presents the optimal synthesis of a six-bar Watt-II mechanism with rotational joints in which a tracing point on the coupler traces a desired path. The objective of the work is to synthesize a six-bar mechanism whose coupler point generates the path as close to the given path as possible. The tracing path is the combination of two circular arcs with eighteen precision points with prescribed timing. A mathematical model is formed by two vector loop closure equations, and design constrained are imposed to improve the result quality. ‘Particle Swarm Optimization’ (PSO), an evolutionary technique, is used to obtain the optimal solution of the given six bar mechanism at first time, which has been used by various authors in case of four bar mechanism. Final design parameters and convergence rate of the optimal solutions are presented.
Realtime Data Traffic Analyser Locomotive of Big Data Analytics
Authors:   Department of Computing, Global College of Engineering and Technology, Muscat, Oman., Jarah* Fatma Asad Al , Malik Mazhar Hussain ,   Department of Computing, Global College of Engineering and Technology, Muscat, Oman.
Published: May 2020

Since last decade, the exponential growth of the internet users and the size of data over the internet is increasing day by day, which lead to increase the complexity of the systems by implementing policies and security to avoid attacks on systems and networks. It is very important to understand and analyses the real time data traffic of the communication systems. The purpose of this paper to design a customized Java based application which enables analysts to capture the traffic at the bottleneck under the mean field communication environment where a large number of devices are communicating with each other. The sending data for further processing for analysis the trend to overcome vulnerabilities or to manage the effectiveness of the communication systems. The proposed application enables to capture 8 different types of protocol traffic such as HTTP, HTTPS, SMTP, UDP, TCP, ICMP and POP3. The application allows for analysis of the incoming/outgoing traffic in the visual to understand the nature of communication networks which lead to improve the performance of the networks with respect to hardware, software, data storage, security and reliability.
Production and Thermal Characterization of Ethanol Blends from Black Jaggery
Authors:   Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation, Guntur, INDIA., Pochont* Nitin Ralph , Atgur Vinay ,   Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation, Guntur, INDIA., Teja K.M.V. Ravi ,   Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation, Guntur, INDIA., Manavendra G ,   Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation, Guntur, INDIA., Desai G.P. ,   Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation, Guntur, INDIA., Kumar P. Vijaya ,   Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation, Guntur, INDIA.
Published: May 2020

To protect the environment from the global warming dependency on the fossil fuels have to be reduced. Locally available alternate fuels are greatly prominent for the development of industrialization compared to conventional fuels. This paper mainly deals with the production of Ethanol from a source called “Black Jaggery” and an Optimization of the extracted alcohol to attain the characteristics and properties which would be essential to blend the alcohol with an existing fossil fuel. Black Jaggery being a sugar-based product is fermented in the presence of a yeast enzyme for several days and is distilled to extract the bio-fuel (ethanol) from the source. The extracted oil is characterized for the thermal properties by using thermal constant analyzer TPS-500 which will be helpful for the combustion studies. Obtained results shows that compared to E-5, E-10 and E-20, E-15 blend shows better thermal properties increased thermal conductivity, thermal diffusivity with reduced specific heat.
“Wear Behaviour of Titanium Alloys When Subjected to Different Speed and Load Levels”
Authors:   Research Scholar, Department of Mechanical Engineering, Bangalore University and Assistant Professor, Department of Mechanical Engineering, HKBK College of Engineering, Bengaluru, India., Pasha K Nadeem , Ranganatha Dr.S. ,   Department of Mechanical Engineering, University Visveswaraya College of Engineering, Bengaluru, India.
Published: May 2020

Titanium and Titanium alloys are widely used for aircraft as a material having light weight, high strength and corrosion resistance. The titanium and its alloys are compatible with carbon fibre reinforced plastic components with respect to corrosion and thermal behaviour. Response of Titanium grade 2 and grade 12 at different speed during sliding is to be studied. The literature survey shows inadequate studies on wear response of these alloys. Experiments using pin on disc test rigs were conducted. Speed level of 500rpm, 1000rpm, and 1500 rpm were used. The sliding was found to be sensitive to sliding speed. As speed increases from 500 rpm to 1000 rpm the coefficient of friction increased. At speed of 1500 rpm two steady phase of sliding identified. In one of the steady phase the coefficient of friction was found to be more than the coefficient of friction at 1000 rpm. Where in another steady phase of sliding the coefficient of friction was found to be comparable or less then the coefficient of friction at 1000 rpm.
Prognosis of Neurological Disorder
Authors:   Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai, India,, Gnanavel* S. , Sreekrishna M. ,   Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai, India,, K Nivedha ,   Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai, S Preethi ,   UG Scholar, Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai., V Pranav ,   UG Scholar, Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai.
Published: May 2020

Neurological disorders of the brain are generally difficult to diagnose at the early stages. Since common symptoms like headaches, fatigue or difficulty in speaking and understanding can be related to any neurological disorder. It can be noted that most of the neurological disorders are curable if detected at an early stage. Thus, the life expectancy of the patient will be increased through an early detection and an early start of the curative procedure. An accurate identification of the disorder can be done by processing the MRI images of the patient. While brain disorders like tumor, stroke can be classified with an abnormal growth of the brain tissue., disorders like Alzheimer’s occur due to degeneration of brain cells. Since all the neurological disorders have common symptoms differentiating them at the beginning stages is considered a challenge. A rule based expert system with a set of rules is used for processing the symptom experienced by the patient. Each symptom is associated with a weighting factor that determines the risk to a particular disorder. Once the risk factor is evaluated the MRI images of the patient is scanned to obtain the severity of the disorder. By utilizing an expert system for analysis of symptom and image processing to detect the region of abnormality we may derive accurate results. Thus an effective prognosis can help patients get into the treatment at the earliest.
Vehicle Monitoring System
Authors:   Pursuing Computer Science Engineering, VR Siddhartha Engineering College, Vijayawada, Andhra Pradesh., Sai* N. Monish , Prakash B. Vijay ,   Pursuing Computer Science Engineering, VR Siddhartha Engineering College, Vijayawada, Andhra Pradesh., Renuka N. ,   Pursuing Computer Science Engineering, VR Siddhartha Engineering College, Vijayawada, Andhra Pradesh., Deepu K. ,   Pursuing Computer Science Engineering, VR Siddhartha Engineering College, Vijayawada, Andhra Pradesh., Jayanag B. ,   Assistant professor in VR Siddhartha Engineering College
Published: May 2020

In the fastmoving world, it is nearly impossible to check and verify the details of each and every vehicle manually. So, in order to untangle this problem, we came up with vehicle monitoring system. The prime idea of our project focusses on drawing out the vehicle registration number from the number plates captured using the camera and process the captured number plate image using various algorithms and eventually store the processed data. This data can be used for monitoring the vehicles in parking lots. Management of cars in parking lots requires a lot of human intervention. Parking lots have been installed with cameras, but none of them serve the purpose. They are just installed for video surveillance and none of them solve the problem. Previously, i.e. in the mini project part, we proposed an Automatic Vehicle Plate Recognition system, which captures the vehicle image, processes the number plate and gives out the details of the vehicle. With the help of this module, we propose a system which can be used in parking lots to monitor the vehicles entering and exiting the lot. We can even run a background check on vehicles using the number plate details and alert the police department in case if the vehicle is suspicious.
Deep Learning Based Ethiopian Car’s License Plate Detection and Recognition
Authors:   Assistant Professor, Faculty of Computing and Software Engineering, AMIT, Arbaminch University, Ramasamy* Dr. Anusuya , Wondwosen Mr. Joseph ,   Research Scholar, Faculty of Computing and Software Engineering, AMIT, Arbaminch University, Ethiopia.
Published: May 2020

Digital Image Processing is application of computer algorithms to process, manipulate and interpret images. As a field it is playing an increasingly important role in many aspects of people’s daily life. Even though Image Processing has accomplished a great deal on its own, nowadays researches are being conducted in using it with Deep Learning (which is part of a broader family, Machine Learning) to achieve better performance in detecting and classifying objects in an image. Car’s License Plate Recognition is one of the hottest research topics in the domain of Image Processing (Computer Vision). It is having wide range of applications since license number is the primary and mandatory identifier of motor vehicles. When it comes to license plates in Ethiopia, they have unique features like Amharic characters, differing dimensions and plate formats. Although there is a research conducted on ELPR, it was attempted using the conventional image processing techniques but never with deep learning. In this proposed research an attempt is going to be made in tackling the problem of ELPR with deep learning and image processing. Tensorflow is going to be used in building the deep learning model and all the image processing is going to be done with OpenCV-Python. So, at the end of this research a deep learning model that recognizes Ethiopian license plates with better accuracy is going to be built.
Implementation of Active Noise Cancellation for Small Confined Spaces
Authors:   Department of Electronics and Telecommunication, Pimpri Chinchwad College of Engineering, Nigdi, Pimpri-Chinchwad, Maharashtra, India., Narkhede* Prathamesh N. , Pandit Narendra S. ,   Department of Electronics and Telecommunication, Pimpri Chinchwad College of Engineering, Nigdi, Pimpri-Chinchwad, Maharashtra, India., Palaskar Sahil A. ,   Department of Electronics and Telecommunication, Pimpri Chinchwad College of Engineering, Nigdi, Pimpri-Chinchwad, Maharashtra, India., Harpale Dr. Varsha ,   Assistant Professor, Department of Electronics and Telecommunication, Pimpri Chinchwad College of Engineering, Nigdi, Pimpri-Chinchwad, Maharashtra, India., Khurge Dr. Deepti ,   Assistant Professor, Department of Electronics and Telecommunication, Pimpri Chinchwad College of Engineering, Nigdi, Pimpri-Chinchwad, Maharashtra, India.
Published: May 2020

Noise cancellation has slowly become a necessity instead of luxury. This is due to the increasing levels of noise pollution in today’s society. Exposure to prolonged and excessive noise has resulted in serious health problems ranging from stress, poor concentration and fatigue from lack of sleep, to more serious issues such as cardiovascular disease, cognitive impairment, tinnitus and hearing loss. Such noise pollution levels are also harmful to fetuses as low frequencies are not attenuated in the same way as high frequencies are attenuated by the mother’s womb. Recent techniques such as noise cancelling headphones, earbuds are being implemented that provide noise cancellation limited to a single person and not to a small room as a whole. Thus our paper proposes a duct system, which will be using the concept of active noise cancellation with the application of digital adoptive feedforward control, where an anti-noise signal is generated, having same amplitude as that of the noise signal but of reverse phase which when added together will cancel each other out. The adaptive filter is controlled by a microphone located in the duct to sense the noise reduction and adjust the entire system for optimum operation. The noise cancelling headphones that are being in use nowadays also operate on the same principle that is being implemented by our proposed system. But due to complex designs in the circuits such devices usually end up being too costly. So our system aims at providing a low cost solution. The system is mainly aimed at lower range of frequencies up to 1 KHz. Active noise control is being preferred as passive silencers are bulky and the attenuations achieved for low frequencies are relatively small.
Automated Code Inspection of Twitter Data using Software Repository Mining
Authors:   Computer science and engineering, SRM institute of science and technology, Kattankulathur, India., Nair* Pooja , Abirami G. ,   Computer science and engineering, SRM institute of science and technology, Kattankulathur, India.
Published: May 2020

The project proposes an application that reviews and analysis tweets on twitter application by doing software repository mining on the information gathered. The main purpose of this project is to investigate a few computational strategies to estimate the effect of web based life. Propelled by the techniques recently created to break down software systems and other unique frameworks, these strategies measure different static and dynamic parts of interpersonal organizations, the possibility and advantages of these estimation techniques with regards to Twitter is shown. By investigating the tweets the connection between the imperativeness of the news and the volume of the related tweets can be seen, which gets refreshed after every constant period of time. Using this strategy the tweets are ranked according to the highest priority.
Cost Effectual Distributed Cooperative Cluster based Communication Protocol in Wireless Sensor Network
Authors:   Assistant Professor, School of Computing,Department of Computer Science and Engineering, Vel tech university, Avadi, Durgadevi* Dr.P. , Akila Ms.A. ,   Assistant Professor, School of Computing,Department of Computer Science and Engineering, Vel tech university, Avadi.., Dr.Veeramakali  ,   Assistant Professor, School of Computing,Department of Computer Science and Engineering, Vel tech university, Avadi
Published: May 2020

Theoretical energy recognition in remote sensor systems has received intense research interest in the late years. Radio variation, channel distortion, and blockage bring great strength and responsiveness to packets broadcast over a remote channel. A twin innovation is effective communication that can drastically increase the channel range and reduce transmission vigor consumption in disrupting channel. Growth in the direct range brings with it a reduced fault rate. In this paper, an acceptable correspondence method is proposed for each tab with active sending and receiving clusters. It consists of two stages, the precise routing phase, the selective and transmitting stage. In the routing phase, the basic route between the source and the sink hub is started. In the second stage, centers of fundamental development toward flattering team leaders select additional touch centers with minimal biomass costs from their surroundings, and then spread from bundle to cluster to the recently established endurance cluster. Reductions in error rate and regeneration are proven by the fact that malpractice funds become long-term obligation systems.
Distribution Robot for Medical Applications
Authors:   Assoc. professor, Department of ECE, Lakireddy Bali Reddy College of Engineering, Mylavaram,, Kumar* Mr. B. V. N. R. Siva , Vinod M.David ,   Project Students, Department of ECE, Lakireddy Bali Reddy College of Engineering, Mylavaram,., Venkateswarlu V. ,   Project Students, Department of ECE, Lakireddy Bali Reddy College of Engineering, Mylavaram,., Anusha K. ,   Project Students, Department of ECE, Lakireddy Bali Reddy College of Engineering, Mylavaram, Thrinath Ch. ,   Project Students, Department of ECE, Lakireddy Bali Reddy College of Engineering, Mylavaram
Published: May 2020

In this paper, we are designing a new enhanced and practical brilliant automated medical caretaker is intended to decrease the physical weight of attendants in emergency clinics. This robot is executed utilizing LABVIEW as creating stage, which makes the equipment and programming all the more simple and solid.
Classification Techniques for Plant Disease Detection
Authors:   M.E, IT-Department, UIET-PU, Chandigarh, Sharma* Vagisha , Verma Dr. Amandeep ,   Assistant Professor in IT-Department at UIET-PU, Chandigarh., Goel Dr. Neelam ,   Assistant Professor in IT-Department at UIET-PU, Chandigarh.
Published: May 2020

Production of crops with better quality is the necessary attribute for the economic growth of any country. The agricultural sector provides employment to many people and accounts for major portion of gross domestic product in many countries around the world. Therefore, for enhanced agricultural productivity the detection of diseases in plants at an early stage is quite significant. The traditional approaches for disease detection in plants required considerable amount of time, intense research, and constant monitoring of the farm. However, optimized solutions have been obtained over the past few years due to technological advances that have resulted in better yields for the farmers. Machine learning and image processing are used to detect the disease on the agricultural harvest. The image processing steps for plant disease identification include acquiring of images, pre-processing, segmentation and feature extraction. In this review paper, we focused mainly on the most utilized classification mechanisms in disease detection of plants such as Convolutional Neural Network, Support Vector Machine, K-Nearest Neighbor, and Artificial Neural Network. It has been observed from the analysis that Convolutional Neural Network approach provides better accuracy compared to the traditional approaches.
Dual Shot Face Detecting using Deep Learning
Authors:   Computer Science Department, B.V. Raju institute of technology, Narsapur, Telangana, India,, Ansari* Nishath , Dara Suresh ,   Computer Sscience Department, B.V. Raju institute of technology, Narsapur, Telangana, India., Shruthi Jaala ,   Computer Science Department, B.V. Raju institute of technology, Narsapur, Telangana, India.
Published: May 2020

In the paper, we have used a deep learning technique to identify dual faces i.e. nothing but detecting dual shot faces. As the data is emerging day by day with high dimensionality, recognizing dual faces is a major problem. So wasting time on identifying images is like fiddling around. In order to save time and get absolute accuracy we have implemented a fast preprocessing technique named as Convolutional Neural Network (CNN) along with feature extraction technique which is used to knob the relevant features to detect and identify images/faces. By performing this robust method, our intention is to detect dual images in an efficient way. This technique results in decreased feature cardinality and preserves unique efficiency of the data. The experiment is performed on extensive well liked face detecting benchmark datasets, Wider Face and FDDB. CNN with FE demonstrates the results with superiority and the accuracy was in-depth analyzed by CNN classifier.
An Analysis of Automated Essay Grading Systems
Authors:   Scholar, Ph.D. scholar, Dr. APJ Abdul Kalaam technical university, Lucknow, Uttar Pradesh, India, Srivastava* Kshitiz , Dhanda Prof. (Dr.) Namrata ,   Professor, Department of computer science, Amity University, Lucknow, Uttar Pradesh, India, Shrivastava Dr. Anurag ,   Professor, Department of Computer Science & Engineering, BabuBanarasi Das Northern India Institute of Technology, Lucknow, Uttar Pradesh, India
Published: May 2020

Essays are one of the most important method for assessing learning and intelligence of a student. Manual essay grading is a time consuming process for the evaluator, a solution to such problem is to make evaluation through computers. Many systems were proposed over past few decades. Each system works on different approach having focus on different attributes. Aim of this paper is to understand and analyze current essay grading systems and compare them primarily focusing on technique used, performance and focused attributes.
How Social Media users’ Drive Influences Purchase Intention in Indian Fashion Industry
Authors:   Assistant Professor, V. M. Patel College of Management Studies, BBA Department, Ganpat University, Gujarat, India, B*. Patel Vipul , Kundan M Patel ,   Assistant Professor, V.M. Patel College of Management Studies, Ganpat University, Gujarat, India.
Published: May 2020

Social media is very popular media in glob for communication as well as transaction for millions of people. As social media is widely and effectively use for commercial, marketers have also emphasized on utilization of social media like YouTube, Facebook, Instagram, Blogs for promoting their products as well as services. However, instead of having wide utilization of social media for promotion, Indian marketers don’t have concrete idea on users’ attitudes towards SMM (social media marketing) and influence of social media advertisement. Moreover, few researches have been carried out in this regards. There is a gap of understanding on social media user’s drive that affect their attitudes and intension of purchase of products in the sense of SMM and social media advertisement with special focus. The reason behind carrying out this research is to focus on influence of social media users’ drive on the intentions of online purchase in the context of SMM in the fashion business of India. In addition, it examines affection of social media advertisement on online buying intension. Data was congregated from 414 respondents through convenience sampling from the major cities of Gujarat and defined premises were measured with multiple regression method. The outcomes revealed that functional drive, entertainment drive and social media use have significant influence on social media user’s attitudes towards social media marketing. Further, results also revealed that there is influence of attitude towards SMM and social media advertisement on intension of online purchase by social media users. The results of the research study would be used by Industry in taking decisions regarding social media strategies. Markers in Industry would know attitude of users towards social media better and perform well as far as social media marketing is concern. Finally, theoretical and functional suggestions are also mentioned. The research study ends up with some shortcomings and direction for further study in discussed area.
Extractive Text Summarization for Sports Articles using Statistical Method
Authors:   pursuing B. Tech final year, Department of CSE, Anil Neerukonda Institute of Technology and Sciences, India,, Polisetty* Sai Teja , Deepthi Dr. K. Selvani ,   Associate Professor, Department of CSE, Anil Neerukonda Institute of Technology and Sciences, India,, Ameen Shaik ,   pursuing B. Tech final year, Department of CSE, Anil Neerukonda Institute of Technology and Sciences, India,, G Ravivarma ,   pursuing B. Tech final year, Department of CSE, Anil Neerukonda Institute of Technology and Sciences, India,, Mounisha M ,   pursuing B. Tech final year, Department of CSE, Anil Neerukonda Institute of Technology and Sciences, India,
Published: May 2020

The past decade has endorsed a great rise in Artificial Intelligence. Text summarization which comes under AI has been an important research area that identifies the relevant sentences from a piece of text. By Text Summarization, we can get short and precise information by preserving the contents of the text. This paper presents an approach for generating a short and precise extractive summary for the given document of text. A statistical method for extractive text summarization of sports articles using extraction of various features is discussed in this paper. The features taken are TF-ISF, Sentence Length, Sentence Position, Sentence to Sentence cohesion, Proper noun, Pronoun. Each sentence is given a score known as the predictive score is calculated and the summary for the given document of text is given based on the predictive score or also known as the rank of the sentence. The accuracy is checked using the BBC Sports Article dataset and sports articles of various newspapers like the New York Times, CNN. The precision of 73% is acquired when compared with System Generated Summary (SGS) and manual summary, on an average.
Bottom Ash based Steel Fiber Reinforced Concrete
Authors:   Civil department, VR Siddhartha Engineering College, Vijayawada, India., Takkellapati* Sujatha , Moturu Tej Sai ,   Civil department, VR Siddhartha Engineering College, Vijayawada, India., Khan Haroon Ali ,   Civil department, VR Siddhartha Engineering College, Vijayawada, India., Srinivas Dr.Chava ,   Civil department, VR Siddhartha Engineering College, Vijayawada, India.
Published: May 2020

Concrete is the most significant material for construction and by incorporation of various industrial by products may improve its properties. Normally fine aggregates have been obtained from natural sources like river beds, now days there is a lot of scarcity for getting natural aggregates. So to overcome this problem, aggregates are partially replaced with alternative materials like bottom ash, recycled aggregates and some natural aggregates .In present study, fine aggregate was replaced with bottom ash and steel fibres are used to improve strength characteristics of concrete. M25 grade concrete was prepared for control specimens, and also bottom ash based fiber reinforced concrete specimens were prepared in different proportions 0%, 10%, 20%, 30% and 40% with bottom ash by weight of fine aggregate and a 1.0% and 1.5% of steel fibers were added by weight of cement. To examine bottom ash based steel fiber reinforced concrete specimens were tested under flexural, split tensile, and compression. The mechanical property of bottom ash based steel fiber reinforced concrete was compared with control mix to examine optimal combination of bottom ash and fibers. It was noticed that 10% replacement of bottom ash has shown the maximum improvement in Compressive, split tensile and flexural strength. Hence, bottom ash based steel fiber reinforced concrete can be used as construction material.
Coloniality-Decoloniality and Critical Global Citizenship: Identity, Belonging, and Education Abroad
Authors: Hartman Eric , Pillard Reynolds Nora , Ferrarini Caitlin , Messmore Niki , Evans Sabea , Al-Ebrahim Bibi , Brown John Matthias
Published: May 2020

This article draws on existing literature, a large, multi-institutional dataset, and several case studies to explore two empirical questions: Do students of color (SOC) differ from white students in statistically significant ways, in respect to the global learning goal of cultural humility? And what interactive effects do students and faculty from diverse backgrounds, diversity and inclusion advocacy, and diverse community contexts have on one another? We draw on existing literature and quantitative data to demonstrate that SOC tend to bring strengths to global learning experiences. We share several case studies to demonstrate how those strengths may lead to specific alliances regarding justice work in host communities, complicating any conception of students as visitors unattached to local justice struggles. Throughout the article, we draw on current literature and practice to present several questions at the intersections of education abroad, diversity, equity, inclusion, community-based global learning, and critical global citizenship.
How to Run Together: On Study Abroad and the ASD Experience
Authors: Masterson-Algar Araceli , Jennings Brian , Odenwelder Mark
Published: May 2020

The growing offering of study abroad programs across university campuses seemingly disregards the large numbers of students with disabilities accessing higher education. Given that study abroad experiences are becoming expected and, in many institutions, mandatory requirements towards graduation, it is imperative that accommodations for disabilities, as well as course design be addressed.  Furthermore, the promotion of study abroad programs as a means to develop some sort of ‘cultural literacy’ demands attention to the cultural processes surrounding perceptions of/ and responses to disability, and which are, above all, culturally specific. Through two case studies in Cuenca, Ecuador, we address some of the challenges and opportunities associated with the participation of two ASD students, both high functioning, in the study abroad experience.
La Traducción Literaria en Antologías: Un puente inter e intracultural
Authors: Raggio Marcela María
Published: May 2020

La traducción literaria ocupa un papel fundamental en toda literatura, ya que produce dos efectos: por un lado, amplía el espectro literario-cultural al que tendrán acceso los lectores que hablan la lengua de llegada; y por otro, permitirá renovar la expresión poética en esa lengua. Esta propuesta implica analizar las dos antologías de poesía anglófona traducida en Argentina en la revista SUR, dirigida por V. Ocampo, para estudiar los dos efectos mencionados, como así también el canon de dicha poesía que se ha conformado en este país a partir de las dos antologías mencionadas, cuya publicación sancionó lo que se entiende como un canon válido de poetas angloparlantes para los lectores argentinos, y en muchos casos, latinoamericanos en general. De este modo, resultaría que la traducción antologada da lugar no solo a un diálogo inter, sino también intra cultural.
Del debate del humanismo a las Humanidades: Reflexiones sobre lo humano
Authors: Urabayen Julia
Published: May 2020

Este artículo aborda el debate sobre el humanismo iniciado por Sartre y seguido por la respuesta de Heidegger. Después de una ruptura con la imagen clásica del ser humano, dichos autores marcaron una nueva forma de pensar acerca del ser humano, que ya no era visto como un sujeto. Después de esta discusión, se analiza el humanismo de Levinas, que trata de ver al ser humano como un rehén del otro. En la última sección, se explica que este debate ha creado la necesidad de analizar al ser humano desde un punto de vista multidisciplinar y que ese es uno de los hechos que se encuentra en el origen de un nuevo grado: Humanidades.
A Arqueologia na Era Digital: Contexto e tendências
Authors: Rangel Danny , Almeida Nelson
Published: May 2020

Desde a sua génese, a Arqueologia encontra-se entre as ciências naturais e as ciências sociais e humanísticas. Esta posição partilhada e a procura de uma maior compreensão dos seus objetos de estudo especíﬁcos, criou nos proﬁssionais de Arqueologia uma necessidade de recorrerem a várias metodologias (e tecnologias) originárias de outras disciplinas. De forma similar a outras ciências, a Arqueologia é uma área permeável à experimentação e aplicação de conceitos teórico-práticos exógenos que levou, inclusive, à formação de diversas especialidades que unem a Arqueologia e outras áreas, como a Zooarqueologia. Como aconteceu ao longo da sua história, o meio académico está perante um momento de mudança na forma como se processa a aquisição de conhecimento. O fato de estarmos na Era Digital da globalização faz com que a adaptação do meio académico a esta realidade seja mais continuada, não sendo a Arqueologia alheia a esta transformação. Após uma breve introdução ao novo "paradigma digital" das humanidades, revemos alguns dos principais usos de tecnologias relacionadas com o uso da Internet no apoio à investigação em Arqueologia (e.g., bases de dados enriquecidas), e descrevemos algumas questões relacionadas com o uso de novas ferramentas e técnicas, seus principais obstáculos e tendências.
THE CLASSIFICATION FOR THE METHODS OF PREDICTION EMERGENCY SITUATIONS
Authors: Bogdanova E , Matveev Alexandr
Published: May 2020

The article discusses the approaches to the prediction emergency situations. The classification for the methods of prediction emergency situations is presented. The possibilities of the application the expert prediction methods, the statistical methods, the methods of physical and mathematical modeling are substantiated. The essence of each method is considered, their advantages and disadvantages are defined.
Gradient behavior without gradient underlying representations: the case of French liaison
Authors: Storme Benjamin
Published: May 2020

French liaison consonants are challenging for phonological theory because they pattern ambiguously between word-initial and word-final consonants. In recent works, these facts have been used to motivate different underlying representations for liaison consonants and non-liaison consonants. This paper argues that this move is not necessary. The gradient behavior of liaison consonants can indeed be derived through constraint interaction while maintaining that liaison consonants and non-liaison consonants have the same underlying representation. Two independently motivated hypotheses will play a key role in deriving this result: (i) word variants strive to be similar to their citation forms via output-output correspondence and (ii) concatenating two words (word 1 and word 2) has phonetic/phonological consequences on word 1's final segment and on word 2's initial segment. Together with the fact that liaison consonants are absent from the citation forms of liaison words, these hypotheses predict that liaison consonants will be less protected against changes than stable word-final consonants but more protected than word-initial consonants, thus explaining their gradient behavior. The analysis is illustrated with a detailed case study on Quebec French affrication combining corpus data and grammatical modeling.
Testing the P-Map: Lenition and Position
Authors: Hall Chad Patrick
Published: May 2020

This study tests the P-Map’s (Steriade, 2001) hypothesis that attested phonological patterns vary depending on phonological context due to differences in the perceptual similarity of two phonological contrasts in different contexts, and that the knowledge of these relative perceptibilities are used to explain cross-linguistic patterns of phonological typology. Specifically, the phenomena in focus are spirantization and devoicing. The study investigates if preference for spirantization of voiced stops in intervocalic position and devoicing of voiced stops in word-final position across languages is correlated with perceptual similarity. Using perceptual similarity tests with native Michigan English speakers on pairs of contrasts in nonsense words, the results show that continuancy contrasts are significantly more similar in intervocalic position than in word-final position, explaining the preference for spirantization intervocalically while voicing contrasts are significantly more similar word-finally, explaining the preference for devoicing word-finally. The results thus support the P-Map’s claim and support a phonetics-based approach to phonology. In addition, since neither phenomenon is a process that happens in Michigan English, the lack of bias in these similarity judgements lends weight to the idea that these results reflect the universal perception of phonological processes.
Computing Vowel Harmony: The Generative Capacity of Search & Copy
Authors: Andersson Samuel , Dolatian Hossep , Hao Yiding
Published: May 2020

Search & Copy (S&C) is a procedural model of vowel harmony in which underspecified vowels trigger searches for targets that provide them with features. In this paper, we seek to relate the S&C formalism with models of phonological locality proposed by recent work in the subregular program. Our goal is to provide a formal description, within the framework of mathematical linguistics, of the range of possible phonological transformations that admit an analysis within S&C. We show that used in its unidirectional mode, all transformations described by an S&C analysis can be modeled by tier-based input strictly local functions (TISL). This result improves the previous result of Gainor et al 2012, which showed that vowel harmony processes can be modeled by subsequential functions. However, non-TISL transformations can be given S&C descriptions in the following ways. Firstly, since TISL functions are not closed under composition, a non-TISL vowel harmony pattern may be obtained by applying two S&C rules sequentially. Secondly, when S&C is used in its bidirectional mode, it has the ability to describe transformations that cannot be modeled by finite-state functions.
MENGUKUR TINGKAT KEPATUHAN KEPABEANAN PERUSAHAAN EKSPORT DAN IMPORT DI INDONESIA
Authors: Syaifullah Syaifullah , Ramdany Ramdany
Published: May 2020

This study aims to prove the compliance of export - import companies with customs regulations. Samples were taken from companies conducting export - import activities listed on the Indonesia Stock Exchange in 2012 - 2017. The number of samples was 157 companies. Free variables consist of company size, profitability, liquidity and leverage. While the dependent variable is customs compliance (audit compliance). The results showed the level of company compliance with customs regulations in the moderate level (moderate).