bluuebunny/crossref_metadata_2025 huggingface dataset:
A Privacy-Preserving Message Forwarding Framework with Key Caching for Low Latency Cloud of Things
Authors:   Research Scholar, Department of Information technology, GITAM University, Visakhapatnam., G* Prasanthi , Rao G Srinivasa ,   Assistant Professor, Department of Information technology, GITAM University, Visakhapatnam.
Published: September 2019

For exchanging messages over opportunistic exchanges in cloud calculating-empowered Internet of Things (IoT), opportunistic Cloud of Things (CoT) is encouraging for customers by means of an emergent conveying policy. In recent times, for predicting upcoming interactions by the determination of enlightening message promoting effectiveness as well as system quantity, several informally-awake structures have been placed onward, influencing consumers’ communal features as well as interaction account. Nevertheless, in the extrapolation procedure as well as communication phase of unprincipled CoT distinct secrecy remains commonly ignored. Towards assuring distinct secrecy as well as improving communication effectiveness, in this broadsheet, we develop a secrecy preservative communication promoting context aimed at unprincipled CoT. For improving transmission effectiveness of incurable customers, we mainly assemble twofold-level design of a cloud server. The proposed method can efficiently safeguard distinct secrecy through incorporating a safety-centered flexibility extrapolation procedure using an overpowering assessment procedure. This paper also introduces data key caching to reduce the latency during the transmission process. The proposed method outperforms the conventional methods.
E- Wallet – a Technological Revolution in Digital India
Authors:   School of Management Studies, Vel Tech Rangarajan & Dr.Sakunthala R&D Institute of Science and Technology, Chennai, India., Seranmadevi* Dr.R. , Praveenraj Dr.D. David Winster ,   School of Management, Bannari Amman Institute of Technology, Sathyamangalam, India., Natarajan Dr.M.Latha ,   Department of MBA, Shanmuga Engineering College, Shankari, India.
Published: September 2019

“Cash” a magic term established in the minds of Indian Citizen from ancient times. It is essential to build an appropriate alternative for cash to boost our country as cashless economy. To transform the layman towards the cashless economy and equip them with digital literacy are the prima facia element for the government. People are more adamant sometimes and scared to move with cash less transactions due to privacy and security concern. The government is making use of the extensive mobile phone usage of the general public and promote the digital money transaction over mobile phone company and telecommunication network. Henceforth, the government designs and promote a unique “app” named Unified Payment Interface in mobile phone, with the purpose of enhancing the people to make use of the digital money and banking services through this UPI app. e-Wallet is a form of money hold in digital way and enhancing the cashless economy. It should be evolved and the opinion regarding the people about the features, accessibility, availability, usage, purpose and ultimate utilization of this e-wallet and their derived satisfaction are to be studied by collecting data from 350 respondents located at five different districts of Tamilnadu in southern part of India through convenience sampling technique. By using the data the model was created using AMOS v.22. The constructed model for satisfaction level of e-wallet users was considered to be good fit. To improve the purpose of holding the e-wallet and usage rate, extensive rate of digital literacy to be provided to all range of people located at various geographical region of the country, in order to reach the goal of Digital India.
Simulation and Performance Enhancement of High Efficiency Video Coding Standard for Video Compression
Authors:   Electronics and Communication department, C.U.Shah University, Wadhwan , India., Monpara* Ms. Kavita , Sedani Dr. Bhavin ,   Electronics and Communication department, L.D. Engineering College, Ahmedabad, India., Dwivedi Dr. Ved Vyas ,   Electronics and Communication department, C.U. Shah University, Wadhwan, India.
Published: September 2019

In the era of modern communication, the transmission of video is the most demanded feature and that makes the bandwidth issues crucial. The only solution to fight with is the video compression techniques/ standards.The High efficiency video coding standard(H.265/ HEVC) is newly evolved standard that is popularly used. this standard is better in saving bandwidth giving more compression. This research work deals with narrates the steps of implementation, simulation with MATLAB and the results obtained. from the obtained results, the 4G technique for wireless communication has been obtained in an enhanced way from the compression perspective.
The Improvement of Open Journal System for Successful National Journal Accreditation in Indonesia
Authors:   Information Systems Department, School of Information Systems, Bina Nusantara University, Jakarta, Indonesia, Sundjaja* Arta Moro , Handoyono Yessi ,   Information Systems Department, School of Information Systems, Bina Nusantara University, Jakarta, Indonesia,
Published: September 2019

This paper aims to evaluate and propose improvements to the Open Journal System (OJS) based journal management to support self-evaluation of national journal accreditation. Data collection methods used were literature research, observation, documentation, and FGD (Focus Group Discussion). The evaluation method used Ms. Excel 2010 to process the empirical data into tables and graphs. Speech notes feature on Android device to change the voice (interview result) into a text. The frameworks used were the instrument of DIKTI scientific journal accreditation. The results are an audit report on the self-evaluation of national journal accreditation in BBR (Binus Business Review) journal volume 7 number 2. The audit report consists of a quality management system, user manual of OJS, and design of the journal management process using OJS.
4018 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Retrieval Number: J95700881019/2019©BEIESP DOI: 10.35940/ijitee.J9570.0981119 Journal Website: www.ijitee.org Risk Monitoring and Quantitative Results of Various Attributes of Machine Learning Algorithms with a Time Series Data.
Authors:   PHd, Department of Computer Enggineering from Bharati Vidyapeeth Deemed University Pune, Maharashtra, India., Gupta* Rakhi , Nashrah  ,   Assistant Professor, Department of Information Technology from K.C. College Mumbai, Maharashtra, India., Joshi Dr. Shashank ,   Professor in Computer Engineering Department Bharati Vidyapeeth Deemed University College of Engineering, Pune, Maharashtra, India., Patil Dr. Suhas ,   Professor in Computer Engineering Department Bharati Vidyapeeth Deemed University College of Engineering, Pune, Maharashtra, India.
Published: September 2019

The aim of this research is to do risk modelling after analysis of twitter posts based on certain sentiment analysis. In this research we analyze posts of several users or a particular user to check whether they can be cause of concern to the society or not. Every sentiment like happy, sad, anger and other emotions are going to provide scaling of severity in the conclusion of final table on which machine learning algorithm is applied. The data which is put under the machine learning algorithms are been monitored over a period of time and it is related to a particular topic in an area.
Heat Transfer Characteristics of Double Pipe Heat Exchanger with Plain Twisted Tape Insert using Titanium Oxide
Authors:   Department of Mechanical Engg, Bharath Institute of Higher Education and Research, Chennai, India., Mohankumar T. , Rajan Dr.K. ,   Department of Mechanical Engg, Dr.MGR Educational and Research Institute, Maduravoyil, Chennai.India., Naveenchandran Dr.P. ,   Department of Mechanical Engg, Bharath Institute of Higher Education and Research, Chennai, India, Sivakumar K. ,   Department of Mechanical Engg, Bharath Institute of Higher Education and Research, Chennai, India.
Published: September 2019

In an effort to improve efficiency of heat exchanging device by means of induced tape inserts using titanium oxide Nanofluids is provided. The experimental study evaluated the fluid flow and heat transfer features of the turbulent water-based Nanofluids with a concentration of 0.6 per cent. Titanium oxide of nanoparticles with a diameter of 25 nm was used in this job. The information showed that the nano-fluid heat flow coefficient was slightly greater with base water a comparable mass flow and comparable temperature. A heat flow coefficient nano fluid rises by means of augment flow rate and amount of Reynolds rises with an rise in the heat transfer coefficient. The experiment performed heat double pipe Data were produced with distinct mass flow rates for both water and nano liquids. The amount of Reynolds ranges from 110000 to 135460. The increase in heat transfer was boosted with an increase in the amount of Reynolds. The heat transfer rate was increased by 12 per cent of nano-liquids compared to simple water.
Video Enhancement Techniques Employed Over the Decade for Reliable Communication
Authors:   Research Scholar, School of Computing and Information Technology, Reva University, Kattigenahalli,Yelahanka , Bengaluru, Reddy A.M Padma , Rani.V Dr.Udaya ,   Senior Associate Professor, School of Computing and Information Technology, Reva University, Kattigenahalli,Yelahanka , Bengaluru, Barath Dr.S.Raj ,   Associate Professor, Department of Electronics and Communication Engineering, Sai Vidya Institute of Technology, Rajanukunte, Bengaluru
Published: September 2019

Traditional networks are designed to meet the needs of streaming video on the Internet. Relatively high standards of broadband connections and video broadband services make the best effort for certain specific video information and transmission methods to appear at any time to reduce network constraints. Video quality is directly related to the basic ability of the phone to send and receive data from time to time for playback. Record videos from your mobile phone are facing various challenges that have been overcome by a variety of methods. In an extremely robust and unpredictable environment, transversal hardware provides adequate video. Conventional networks are designed to meet the needs of streaming video over the Internet. Relatively high standards of broadband connections and video broadband services make the best effort for certain specific video information and transmission methods to appear at any time to reduce network constraints. Video quality is directly related to the basic ability of the phone to send and receive data from time to time for playback. Record videos from your mobile phone are facing various challenges that have been overcome by a variety of methods. In an extremely robust and unpredictable environment, transversal hardware provides adequate video.
Framework for Testing the Security of Application Software at Design Phase
Authors:   Ph.D. in Computer Application from Integral University, Lucknow, U.P., India., Mahendra Mrs. Neha , Muqeem Dr. Mohammad ,   Associate Professor in the department of Computer Application, Integral University, Lucknow, UP, India.
Published: September 2019

Software security testing is essential to reveal the weaknesses in the security of the system. The security level of the software must be assessed properly and timely so that the security breaches can be prevented to occur otherwise they harm the system. Security testing during designing the software will be advantageous to reduce the rework and expenses required if it will be found insecure after the implementation. Security testing can be achieved efficiently through proper framework at the early stages of software development. Security can be checked at the initial level by taking inputs at the requirement phase and design phase so that loopholes can be found and the propagation of vulnerabilities can be prevented. At requirement phase security requirements can be filtered and then at the next phase designing artifacts can be inspected for security errors. A metric is designed which will grade the software under test and state that whether the system is secured at the proper level or not. In this paper a framework is proposed which is based on metric and the validation of the metric is done through the Weyuker’s property.
Design and Analysis of Multisource Logs Forensic With Lock Technique for Cloud Security Enhancement
Authors:   Department of Computer Science and Engg. VTU Belgavi India, Bamane Kalyan Devappa , H.A Dr.Dinesha ,   Department of Computer Science and Engg. VTU Belgavi India
Published: September 2019

Multisource cloud log forensics (MCLF) strengthens the investigation method by means of detecting the malicious behavior of hackers thru deep cloud log evaluation. But, the accessibility attributes of cloud logs thwarts accomplishing the purpose to analyze cloud logs. Accessibility consists of the productions of cloud log get admission to, selection of suitable cloud log file, cloud log information integrity, and cloud logs trustworthiness. Hence, forensic investigators of cloud log files are dependent on cloud provider vendors (CSPs) to get entry to of diverse cloud logs. Accessing cloud logs from outside the cloud without depending at the CSPs is once more a hard, whereas the boom in cloud assaults has improved the need for MCLF to research the malicious activities of attackers. Criminals are easily hiding incriminating files within the cloud system and altering the log contents. Hence lock mechanism has been added to MCLF technique. This paper reviews the MCLF with lock technique and highlights diverse challenges and issues involved in examining cloud log data. The logging mode, the importance of MCLF, and cloud multisource-log-as-a-service are introduced. The MCLF security necessities, weakness points, and experiments are recognized to tolerate altered cloud log susceptibilities. This paper represents the design and analysis details of MCLF with Lock technique.
Automatic Detection of Tomato Leaf Deficiency and its Result of Disease Occurrence through Image Processing
Authors:   Assistant Professor, Department of Information Technology, Adhiyamaan College of Agriculture and Research, Hosur, Tamilnadu, India., Sivagami S. , Mohanapriya Dr. S. ,   Head of the Department, Department of Computer Science, KSR College of Arts and Science for Women, Tiruchengode, Tamilnadu, India.
Published: September 2019

Economic strength of a country is highly depends on agriculture productivity. More number of researches has been done based on detecting disease of plant by processing its leaf. However detecting disease after occurrence of it and identifying solution and source of it presence is a delay and useless process. The occurrence of disease in plants is due to absence of nutrient content in it. The main objective of this research work is to effectively detect deficiency in tomato leaf in order to protect it from disease occurrence. In our work, identification of deficiency in tomato leaf has been implemented using image processing technique. A plant grows in healthy way when it has its basic nutrients such as Nitrogen, phosphorus, potassium etc. Analyzing and detecting tomato plant leaf deficiency will identify occurrence of disease later. To detect deficiency in accurate way expectation and maximization segmentation process is implemented and features of segmented images have been extracted. Based on this extracted features classification is implemented to identify whether it is normal leaf or defected leaf. After identifying result the disease occurrence due to nutrient deficiency is shown. Therefore based on leaf image processing disease is identified by analyzing its deficiency in efficient way. Hence our research work prevents loss in tomato production and increases its growth and sales.
Automatic Parallelization using Open MP Directives
Authors:   Dept. of CSE, RVCE, Bengaluru, India, M R Prof. Anala , Dash Prof. Deepika ,   Dept. of CSE, RVCE,Bengaluru, India
Published: September 2019

With the increase in the advent of parallel computing, it has become necessary to write OpenMP programs to achieve better speedup and to exploit parallel hardware efficiently. However, to achieve this, the programmers are required to understand OpenMP directives and clauses, the dependencies in their code, etc. A small mistake made by them, such as wrongly analysing a dependency or wrong data scoping of a variable, can result in an incorrect or inefficient program. In this paper, we propose a system which can automate the process of parallelization of a serial C code. The system accepts a serial program as input and generates the corresponding parallel code in OpenMP without altering the core logic of the program. The system has used different data scoping and work sharing constructs available in OpenMP platform.The system designed here aims at parallelizing “for” loops, “while” loops, nested “for” loops and recursive structures.The system has parallelized “for” loop by considering the induction variable. And converted “while” loop to “for” loop for parallelization. The system is tested by providing several programs such as matrix addition, quick sort, linear search etc. as input. The execution time of programs before and after parallelization is determined and a graph is plotted to help visualize the decrease in execution time.
Deep Neural Network with Dropout for Anomaly Detection in Software Defined Networking
Authors:   Department of Computer Science, College of Science, AL-Nahrain University, Baghdad, IRAQ, Hussein Zaid Khalaf , Dhannoon Ban N. ,   Department of Computer Science, College of Science, AL-Nahrain University, Baghdad, IRAQ
Published: September 2019

A novel anomaly detection-based NIDS is main demand in the computer networking security for discriminating malicious software attack at the early stage. It monitors and analyzes network traffics, checking abnormal behaviors or attack signatures. The detection rate or accuracy is the prerequisite in the network intrusion detection models, also, developing adaptive and flexible model is a critical challenge regarding to unseen attack. This search paper included the deep neural network (DNN) as anomaly detection model can be used within software defined networking (SDN). Dropout technique is used to prevent DNN model from overfitting. Six features have information about the flow were chosen from NSL-KDD dataset to fit and evaluate this model, these data features could be matched to packet-in message header values, also, these features enable the model to be a good generative, and well perform on intrusion recognition issue with a subset of the data. Cross entropy loss function with SoftMax output layer were used for getting the differences between the two different distribution and mapping to multiple class classification covered five class labels, one is normal and the others are attacks (Dos, R2L, U2L and Probe). Accuracy is a comparative metric utilized for assessing the model performance. The results are promising, where accuracy achieved 92.65%.
Organizational Climate and Effectiveness Relationship in IT Sector: Mediating Effect of Organizational Commitment
Authors:   Research Scholar, Amity College of Commerce and Finance, Amity University, Noida (Uttar Pradesh) India., Reetu  , Yadav Dr. Anshu ,   Amity Business School, Amity university, Noida (Uttar Pradesh), India.
Published: September 2019

Human resource of an organization is considered as a central variable which affects the effectiveness of an organization. In this competitive era employees are considered as an asset to the organization and it is the only resource which can use all other resources within organization in an effective way. Human resource with its skills, capability, talent and intelligence can help an organization to achieve its objectives. The performance of employees will only be high when a favourable environment with growth opportunities will be provided to them. The present study focuses on the effect of organizational climate on organizational effectiveness of IT sector with organizational commitment as a mediator. Data was collected through structured questionnaire with the help of convenient sampling from 350 employees from Delhi and NCR. Process macro along with AMOS was used to measure the mediating effect of commitment between organizational climate and organizational effectiveness. A significant partial mediation using Bootstrapping was found with an indirect effect of organizational climate on organizational effectiveness (β= .32, Boot (LLCI= .8678, ULCI= 1.599). Total effect of organizational climate on Organizational effectiveness was .71, whereas direct effect was .39.
Mechanical Properties of Concrete with Mineral Admixtures - an Experimental Programme
Authors:   Department of Civil Engineering, GRIET, Hyderabad, India, Sanjeev Dr.N. , Sairam T. ,   structural Engineering, GRIET, Hyderabad, India
Published: September 2019

Concrete is a general composite material used in construction industry over many decades. Due to rapid Growth of infrastructure, the demand of concrete is raising day by day. This composite material mainly made up of cementitious material such as cement and natural sand. This cement production results in release of large amount of CO2 which directly effects environment pollution and Global warming and also, the usage of natural sand leads to environmental degradation. So, better way to reduction in CO2 emission by minimizing cement content with some other puzolonic materials such as Metaakolin,Fly ash, Ground granulated blast furnace slag(GGBS) and This present Experiment is for to observe the cube and cylinder specimens strength of M40 grade of concrete at 7 days and 28 days with partial replacement of cement with ground granulated blast furnace slag ,Metakaolin and flyash @ 15%,30%,45% of binding material and natural sand with manufactured sand (M-sand).
Multimodal Analysis of Human Fear
Authors:   Assistant Professor, Sri Sairam Engineering College, Chennai, India., Sarkar Swagata
Published: September 2019

Human emotion detection is very much relevant in today’s scenario. Human life become fast due to modernisation. People like to lead sophisticated, peaceful and healthy life. Human emotion plays a vital role in present scenario. Six basic emotions are considered for research purpose. Those are happy, sad, fear, anger, disgust and boredom. In this paper, human fear is analysed based on Electroencephalogram (EEG) signal, physical parameters and facial images. Statistical parameters both from time and frequency domain are used as feature set. Own database is used for the analysis. It is seen from the result that the efficiency is enhanced significantly after multimodal analysis of human fear. The classification results for discrete wavelet transform and logistic regression model are improved by 8.33% and 8.33% respectively.
Sssc Based Time Delay Compensator Design for Interconnected Power System
Authors:   Associate Proffessor & HOD Department of EX,TIT Sciences, Bhopal, MP, India., Bondriya Pallavi , Bharti Rama ,   Associate Proffessor & HOD Department of EX,TIT Sciences, Bhopal, MP, India.
Published: September 2019

In this paper, researcher designed a delay-dependent wide-area damping controller based on Static Synchronous Series Compensator (SSSC) to enhance the power system stability by using remote signal obtained from Wide-Area Measurement System (WAMS). This remote signals introduces a time delay in the feedback signal, as a result, degrade the system damping performance and even causes instability of close loop power system. To find out various controller parameters, use of Genetic Algorithm (GA) is adopted. The performance of Multi-Machines system is evaluated with proposed controller including signal delay and Conventional PSS(CPSS) in MATLAB simulation. Various results show that SSSC based controller damp-out the inter-area oscillations under small disturbance more effectively as compare to LPSS.
Data-Driven Clinical Decision Support System for Medical Diagnosis and Treatment Recommendation
Authors:   Computer Science and Engineering, University Institute of Technology, RGPV, Bhopal (M.P), India., Rathi Shubham , Motwani Mahesh ,   Computer Science and Engineering, University Institute of Technology, RGPV, Bhopal (M.P), India., Ahirwar Manish ,   Computer Science and Engineering, University Institute of Technology, RGPV, Bhopal (M.P), India.
Published: September 2019

This paper presents a Data-Driven Clinical Decision Support System (CDSS) using machine learning. The proposed system predicts the possibility of diseases based on the patient’s symptoms. It suggests lab tests and medication related to the disease. Lab test results are analyzed to check the probability of liver and kidney diseases. The proposed system uses face recognition to identify the patient. Face recognition module retrieves the Patient Health Record and provides patient information and health records access to the doctor and medical staff. The system is developed using Python Django for Backend, React.JS for User Interface and PostgreSQL as the relational database. The system uses Logistic Regression for possible disease prediction, Support Vector Machine for liver disease prediction, Random Forest for chronic kidney disease prediction. The result of the proposed data-driven clinical decision support system is compared with a doctor’s disease analysis to measure the effectiveness of the proposed system. This kind of system can help doctors in providing better care and predict the disease at an early stage.
S-Transform Based Analysis for Stock Market Volatility Estimation
Authors:   APIII, School of Arts, Science & Humanities, SASTRA Deemed University, Thanjavur, India., Seethalakshmi Dr.R. , R. Rahul ,   Student, School of Computing, SASTRA Deemed University, Thanjavur, India., C Dr.Vijayabanu ,   Associate Professor, School of Management, SASTRA Deemed University, Thanjavur, India.
Published: September 2019

Financial Time series analysis (FTSA) is concerned with theory and practice of asset valuation over time. Generally, FTSA is useful for forecasting the asset volatility. This paper proposes the discrete S-Transform technique driven by Gaussian kernel for the estimation of volatility in FTSA. S-Transform is found to be a better tool in finding the time frequency resolution so as to predict and estimate the risk and returns of financial market. S-Transform prediction on two different bench mark data sets namely, Standard & Poor(S&P) 500 and Dow Jones Industrial Average(DJIA) index clearly indicates its superiority for the prediction of short and long-term trends in stock markets.
A hybrid Method to augment the efficiency of Distributed Computing System by DAG -Using Finest Task Allocation with Dual Mode Processors
Authors:   Ph.D CS Scholar E, Dr APJ AKTU Lucknow India, Yadav Prasant Singh , Yadav Dr. Pradeep .Kumar ,   principal Scientist CSIR-CBRI Roorkee India, Yadav Dr.K.P ,   Vice Chancellor, Sangam University, Bhilwara Rajsthan, India, Bharti Dr.Sunil ,   Professor Galgotia College of Engineering, G Noida,India
Published: September 2019

Distributed computing system creates or provides a platform having multiple computing nodes linked in a specified manner. On the basis of literature review of last few decades it has been noticed that most of distributed computing researchers have shown their effort to maintain load balancing between processors ,effective task scheduling and optimizing different parameters affecting execution cost and throughput .With these above scenario an additional parameter “Self reconfiguration of CPU” is also a countable parameter to augment the efficiency of distributed computing system .Through this research paper we want to present new approach of adaptive scheduling algorithm which is the mix output of effective task allocation to processor involved in computing and self-reconfiguration of those processors as per need of computing. By this proposed method we will optimize the execution cost, service rate and maximize the throughput as an outcome of organized processors consist in heterogeneous distributed computing system, resulting provide the considerable enhancement in the performance of Distributed computing environment.
Data Stream Clustering Algorithms: Challenges and Future Directions
Authors:   Professor of CSE Department at Sree Vidyanikethan Engineering College, Tirupati, India., Sunitha G. , Jaswitha  ,   PG Scholar from the Department of CSE at Sree Vidyanikethan Engineering College, Tirupati, India.
Published: September 2019

In the fast growing world applications are generating data in enormous volumes called data streams. Data stream is imaginably large, continual, rapid flow of information and in data mining the important tool is called clustering, hence data stream clustering (DSC) can be said as active research area. Recent attention of data stream clustering is through the applications that contain large amounts of streaming data. Data stream clustering is used in many areas such as weather forecasting, financial transactions, website analysis, sensor network monitoring, e-business, telephone records and telecommunications. In case of data stream clustering most popularly used heuristic is K-means and other algorithms like K-medoids and the popular BIRCH are developed. The aim of the abstract is to review the developments and trends of data stream clustering methods and analyze typical DSC algorithms proposed in recent years, such as BIRCH, STREAM, DSTREAM and some more algorithms.
Social Media Analytics and New Product Development
Authors:   Professor, Symbiosis Centre for Management Studies NOIDA, India., Singhal Tarun Kumar
Published: September 2019

Social Media, due to its ubiquitous nature, has permeated into the daily lives of the customers of the organizations. The existing and prospective customers are increasingly engaged with the organizations through a two-way communication channel, which is almost always available to them. Through these engagements, an enormous level of data (big data) is being generated on social media platforms. However, this data, generated on social media platforms, is highly unstructured in nature that needs to be organized before suitable inferences can be drawn to facilitate the decision making by the organizations. This data is analyzed through social media analytics to understand the experiences, expectations, user behaviors, among others to improvise or innovate the existing product/service portfolio or to develop new products. This paper has attempted to understand the impact of social media analytics on the effectiveness of new product development activities and has also tried to emphasize the need for analyzing the data being generated on social media for enhancing the new product development process.
Performance Evaluation of Mel and Bark Scale based Features for Text-Independent Speaker Identification
Authors:   Associate Professor, Department of Electronics & Telecommunication Engineering, A.I.S.S.M.S, Institute of Information Technology, Pune, India, Dhonde Dr. S. B. , Chaudhari Amol A. ,   Assistant Professor, Department of Electronics & Telecommunication Engineering, A.I.S.S.M.S, Institute of Information Technology, Pune, India, Gajare M. P. ,   Assistant Professor, Department of Electronics & Telecommunication Engineering, A.I.S.S.M.S, Institute of Information Technology, Pune, India
Published: September 2019

The performance of Mel scale and Bark scale is evaluated for text-independent speaker identification system. Mel scale and Bark scale are designed according to human auditory system. The filter bank structure is defined using Mel and Bark scales for speech and speaker recognition systems to extract speaker specific speech features. In this work, performance of Mel scale and Bark scale is evaluated for text-independent speaker identification system. It is found that Bark scale centre frequencies are more effective than Mel scale centre frequencies in case of Indian dialect speaker databases. Mel scale is defined as per interpretation of pitch by human ear and Bark scale is based on critical band selectivity at which loudness becomes significantly different. The recognition rate achieved using Bark scale filter bank is 96% for AISSMSIOIT database and 95% for Marathi database.
NLP: Rule Based Name Entity Recognition
Authors:   M.E., Phd.,,Professor, Department of Computer Science ,Ambo University, Ambo, Ethiopia, Raja Dr.N.Kannaiya , Bakala Mr. Naol ,   M.Sc., Head/Department of Computer Science, Ambo University, Ethiopia, Suresh Mr. S. ,   M.E., Asst. Professor, Asst Professor/ Department of Computer Science & Engineering, C. Abdul Hakeem College of Engineering & Technology, Vellore, Tamil Nadu, India,
Published: September 2019

Named Entity Recognition (NER) is an information extraction task aimed at identifying and classifying words of a sentence, a paragraph or a document into predefined categories of Named Entities (NEs). NEs are terms that are used to name a person, location or organization. They are also used to refer to the value or amount of something. NER is an important tool in almost all NLP application areas out of which it is very essential in Search Engines (Semantic based), Machine Translation, and Question-Answering, Indexing for Information Retrieval and Automatic Summarization systems. This paper presents Rule-based approach for the development of Named Entity Recognition (NER) system for Afan Oromo language.
Modern Communication Technologies In Professional Education
Authors:   Associate Professor, Department of Service Technologies and Technological Education, Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation., Z.V. Smirnova , O. I. Vaganova ,   Associate Professor of the Department of Vocational Education and Management of Educational Institutions, Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation., Analyst Konovalova E. Y. ,   Scientific Educational Center "Perspective", Federal State Budget Educational Institution of Higher Education, Togliatti State University., Kulagina  ,   J. A. Penza State Technological University Penza Russian Federation, N.E. Zhitnikova ,   Senior Lecturer, Faculty of Physical Education and Sports, Department of Physical Education and Sports, Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation., N. V. Frolova ,   Senior Lecturer, Faculty of Physical Education and Sports, Department of Physical Education and Sports Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation., E. V. Lukina ,   Senior Lecturer, Faculty of Physical Education and Sports, Department of Physical Education and Sports Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation.
Published: September 2019

Communicative technologies in professional educational institutions form the basis for the activation of the educational process, contribute to the improvement of the level of formation of competencies of graduates. The purpose of the article is the consideration the effective experience of the implementation of communication technologies in professional educational institutions to identify the main functional aspects with subsequent usage in the educational process. The paper describes the experience of formation of professional competencies with usage communication technologies to students of higher education institutions enrolled in the master's program in the direction of training 44.04.04 "Vocational training (by industry)", profile – "Management of educational systems". The authors rely on the included competence of the Federal state educational standard "the ability to use modern communication technologies", which is proposed to form through the usage of various communication technologies in the training of graduates. The authors reveal the most frequently used in the educational process types: discussion, case, project, electronic and other types of technologies. Features of application and realization of each type are allocated. Presented the criteria for assessing the performance of students’ tasks (on the complex module "Theory and methodology of vocational education") in the framework of the implementation of these technologies. The aspects identified in the process of analyzing the experience of usage communication technologies can be taken into account in the further improvement of the process of implementing communication technologies in higher education and better formation of competencies.
Optimal Design and Spacing of Mono-Block Prestressed Concrete Sleeper under Vertical load
Authors:   Civil Engineering department, Beni-Suef University, Beni-Suef, Egypt., Mohsen Mohamed Youssef , Ahmed Hany Ibrahim ,   Civil Engineering department, Beni-Suef University, Beni-Suef, Egypt., Riad Hany Sobhy ,   Civil Engineering department, Ain Shams University, Cairo, Egypt., Rahman Amr Ali Abdel ,   Civil Engineering department, Ain Shams University, Cairo, Egypt.
Published: September 2019

The present paper proposes scientific and practical methodology to solve the following problems: the value of dynamic impact factor, sleeper spacing, Wheel load distribution along successive sleepers, stress beneath the sleeper and stress reduction within the railway successive layers. The proposed methodology aims to determine the following items: the suitable sleeper spacing for a given rail type, the wheel load distribution along successive sleepers, the moment within mono-block pre-stressed concrete sleeper (B70), the crushing strength between (sleeper and ballast surface) and finally the suitable effective ballast depth. A feasibility study to calculate the total cost of 1Km of either a single track or a double track per year, as well as selecting railway track elements economically & technically according to the external loads and mechanical characteristics.
Automated Pollution Detection System using IoT and AWS Cloud
Authors:   Department of CSE, St.Joseph’sCollege of Engineering,, Chennai,India., Oliver A.Sheryl , Anuradha M. ,   Department of CSE, St.Joseph’sCollege of Engineering,, Chennai,India, Ramya J. ,   Department of CSE, St.Joseph’sCollege of Engineering,, Chennai,India
Published: September 2019

Smart cities are one of the upcoming trends in the world. These smart cities include smart traffic light system, smart cars, smart homes, smart traffic monitoring system. As environmental pollution has become the major cause of various problems like climatic changes, improper irrigation methods, depletion of the ozone layer etc. “Automated Pollution Detection System using IoT and AWS Cloud” provides an architecture for integrating IoT and Cloud Computing and an application which is used to detect air pollution by fitting in arduino devices at public places like traffic lights, industrial areas, construction areas etc., and transferring the data using GSM modem to a cloud database server AWS RDS. The cloud server is linked with the EC2 instance (Ubuntu server) in order to publish the web application using EC2. Web Application which is created using Word press and a Mobile application using Android Studio. The Web application shows the value of pollutant at a particular place along with the map facility by using GPS in the Arduino. This is also linked to a mobile application which sends a push notification service (SNS) to our mobile application.
A Smart Dustbin using Mobile Application
Authors:   Teaching Associate, School of ECE. REVA University.Bangalore-India., C.S. Anilkumar , G Suhas ,   UG Scholar,bSchool of ECE. REVA University. Bangalore-India., S Sushma ,   UG Scholar School of ECE. REVA University. Bangalore-India.
Published: September 2019

As there is a rapid increase in the present population waste management has become the serious problem in the current world. So in this paper we are proposed a new system of waste management using an android mobile app with Bluetooth enabled smart dustbin. This android application controlled bot through the lines drawn on the floor. Usually the lines are predefined throughout the path. The predefined paths may a white line on a black surface or vice -versa. The smart dustbin detects a person using IR sensor, if person is detected automatically it will open the cap of the dustbin and if he moves away from the dustbin it will automatically close the cap of the dustbin using stepper motor. It can also be able to detect amount of garbage and odour present in the dustbin using sensors. If any one of these things reached the threshold, it will automatically send a message to the concerned person through GSM module.
To Explore Dynamic Misuse-ability Score using Machine Learning Model
Authors:   Department of Computer Science and Engineering S.R.K.R, Engineering College, Bhimavaram, India., Asha A.V.S. , Varma M. Srihari ,   Department of computer Science and Engineering S.R.K.R, Engineering, College, Bhimavaram, India.
Published: September 2019

Digital behavior change interventions change the inner variations of humans based on discussions international experts relates to different domains publish their data to outsourced users. User’s access data from outsourced organization then organization follow basic state space representation to give data to users. This state space representation helps to users to guide and authorizing to improve measurement of security for users to release their data. So that in this paper we present novel concept i.e. Mis-usability weight measure for estimating risk factor in exploration from digital sources of data to insiders. This theory helps to generate score which represents sensitivity of data exposed to users by predict ability of malicious exploits user’s data. Main challenge behind Mis-usability weight measure calculation is acquiring knowledge from different domain experts. Experimental results give better and efficient risk assessment results for different users in digital interventions.
Strength of Geopolymer Paste using a Ternary Blend of Fly Ash GGBFS and Silica Fume under Ambient Conditions
Authors:   Associate professor, Dept. of Civil Eng., Hindustan Institute of Technology and Science (HITS), Chennai-603 103, India., P Ravikumar , Bhandari Abhinav ,   Graduate Student, Dept. of Civil Eng., Hindustan Institute of Technology and Science (HITS), Chennai-603 103, India., Rai Tika Devi ,   Graduate Student, Dept. of Civil Eng., Hindustan Institute of Technology and Science (HITS), Chennai-603 103, India., Rooby Jessy ,   Professor, Dept. of Civil Eng., Hindustan Institute of Technology and Science (HITS), Chennai-603 103, India., T Sundararajan. ,   Professor of Civil Engineering (Retd.), Pondicherry Engg., college, Pondicherry – 306105, India.
Published: September 2019

In this paper, compressive strength (CS) of geopolymer paste has been studied under ambient conditions using locally available Class C fly ash, GGBFS and silica fume and a combination alkali activator, namely: NaOH and Na2SiO3. Two approaches were used for mix proportioning and 60 mixes of the paste were proportioned. It is found that all the mixes proportioned were workable and no adverse effects were observed within 30 minutes of mixing. It is found that the ‘minimum voids’ approach along with a constant fly ash – to – activator ratio (FA/AA) is the best approach for the design of geopolymer mixes, rather than a constant water- to- solid ratio (w/s). Further, the role of GGBFS and SF on the CS of the paste has also been highlighted.
Automatic Cold Drink Vending Machine with Reverse Vending System for Empty Bottles and Monitoring System using VLSI
Authors:   Professor, Department of E&TC, Sharad Institute of Technology, College of Engineering Yadrav, Ichalkaranji., Babu Dr.J.Narendra , Khandare VaibhavV. ,   Asst.Professor, Department of E&TC. Sharad Institute of Technology, College of Engineering Yadrav, Ichalkaranji., Chougule RohanA. ,   Asst.Professor, Department of E&TC. Sharad Institute of Technology, College of Engineering Yadrav, Ichalkaranji., Chimanna M.A. ,   Asst.Professor, Department of E&TC, Sharad Institute of Technology, College of Engineering Yadrav, Ichalkaranji.
Published: September 2019

now days the Plastic is one of the most versatile material. These days the waste generated by humans. In this paper we develop the VM and RVM . A VM is an automated machine that provides three different types of items such as coca cola, sprite and thumbs-up etc. the money is inserted to consumers in to the machine. The reverse vending machine is the machine that accepts empty plastic bottles and credits discount offer. The collected empty plastic bottles are sent for further recycling which is environment friendly. Operation of the machine exhibited accuracy in recognizing barcode data, distinguishing between vend plastic bottle and other plastic bottles, storage update. The machine is able to run on commercial power. All the mentioned process will be controlled by a PIC microcontroller. Throughout the process barcode sensor is responsible to Identify vend plastic bottles. The developed project is environment friendly and cost effective.
Image Processing of Vegetables and Predicting Disease
Authors:   Information Technology, Amity University, Noida, India., Kansal Kartik , Gupta Tushar ,   Information Technology, Amity University, Noida, India., Singh Dr. Archana ,   Professor, Information Technology, Amity University, Noida, India., Majumdar Dr. Rana ,   Associate Professor , Meghnad Saha Institute of Technology, Techno, India
Published: September 2019

Diseases present in vegetables as well as fruits are producing huge number of sufferings in the economic losses with addition to the losses of our agricultural industry worldwide. The main concern of this project is to understand various issues faced by the farmers in addition to consumer community also and hence to deliver a solution in regard to this major issue for farmers in detecting and classifying the category of the disease present in the vegetables and fruits. According to various studies we concluded that the diseases could occur through various aspects like viruses, fungus, bacteria etc. Hence as a result there is a great need to terminate such precious losses to the vegetables along with the farmers and in addition with the whole agricultural environment. Sometimes not only such aspects can cause damage to the vegetables but also there are many more reasons which are improper transportation of these vegetables from one origin to another, diverse climatic conditions could also be a reason of such causes. We have used python as a programming language with OpenCV library and HSV model of object detection to derive the optimal results. This library is used to perform several image manipulation operations. The dataset including numerous amount having traces of bacteria, fungi, etc. on vegetables are created. Then we implied HSV model which helps us to detect the spots or we can say traces of bacteria, fungi on the vegetables and hence the mask of that region is separated from the RGB image. GUI is created in python only which makes the program interactive with the user. Hence as a result we are able to see different types of spots for different type of disease.