bluuebunny/crossref_metadata_2025 huggingface dataset:
The Role of Technology Acceptance Model on Whatsapp's Official Usage in Malaysian Heis
Authors:   PhD Management Putra Business School, Malaysia., Ali* Dr. Rana Mohsin , Mahomed Dr. Anuar Shah Bali ,   PhD, Associate Professor, University Putra Malaysia., Yusof Dr. Raja Nerina Binti Raja ,   PhD, Associate Professor, University Putra Malaysia., Afzal Muhammad Irfan ,   PhD Candidate, Putra Business School, Malaysia., Shah Ahmad Adzri Bin Abdul Halim ,   Undergraduate student, University Putra Malaysia.
Published: February 2020

The revolutionary developments in information and communication technologies have drastically changed the way we communicate in our personal as well as professional life. Traditionally email was considered as formal mean of communication in organisations but now a days its common to use social networking apps for official communication. WhatsApp in this regard have so much importance as it is being used in various industries because of its security, immediacy, and easy to use features. This paper studies the role of technology acceptance model (TAM) on adoption of WhatsApp for official communication and information sharing. The sample was collected from 328 respondents from 10 Malaysian universities using survey technique. The data was analysed using SMART-PLS. The findings of the research confirm that perceived usefulness and perceived ease of use are the key constructs for adoption of WhatsApp as channel for official communication. Furthermore, the limitations and future directions of the study are also recommended.
Differential Evolution Algorithm using Environment Based Operator
Authors:   Department of Computer Science and Engineering, Bundelkhand Institute of Engineering and Technology, Jhansi, U.P., India., Singh* Shailendra Pratap , Singh Dr. Deepak Kumar ,   Director, Sachdeva Institute of Technology, Mathura, UP, India.
Published: February 2020

In this paper, new mutation strategies are proposed to improve the accuracy of the cost estimation by COCOMO's tuning parameters using the Internal adaption based mutation operator for differential evolution algorithm (IABMO Algorithm). The proposed method provides more promising solutions to take the lead evolution and helps DE abstain the circumstance of stability. The proposed algorithm applied software cost estimation and improve the performance of the initial phase for software engineering. This approach is used for precise prediction and reduces the error rate for the initial phase of software development phase projects. The software cost estimation based IABMO algorithm has been capable of a better for effort, MRE, MMRE, and prediction.
Detection and Identification of Animals in Wild Life Sanctuaries using Convolutional Neural Network
Authors:   Research Scholar, Department of CSE, Dr. C. V. RAMAN University, Bilaspur, India, Chandrakar* Ramakant , Raja *Rohit ,   Professor, Department of CSE, Sreyas Institute of Engineering and Technology, Nagole, Hyderabad, India, Raja Rohit ,   Professor, Department of CSE, Dr. C. V. RAMAN University Bilaspur, India, Tandan S. R. ,   Professor, Department of CSE, Dr. C. V. RAMAN University Bilaspur, India, Laxmi K Ramya ,   Assistant Professor, Department of CSE, Sreyas Institute of Engineering and Technology, Nagole, Hyderabad,
Published: February 2020

Comprehensive, Precise and real time data regarding the position and characteristics of animals is necessary for safeguarding visitors inside a wildlife sanctuary. Investigations are made on the capability for automated, unambiguous and economical collection of data that are useful to perform rescue operations within the sanctuary because of the absence of other communicational sources. Web camera enables collection of photos relating to wildlife economically, conservatively as well as regularly. Extraction of information from such photos is costly, slow and requires human intervention. The proposed system demonstrates the automatic extraction of such data using Convolutional Neural Network (CNN). Deep CNN is trained for a set of images available in a wildlife dataset.
Fuzzy Decision Tree Based Characterization of Subsurface Anomalies
Authors:   Research Scholar, Department of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P, India., Lakshmi* A. Vijaya , Ghali V. S. ,   Professor, Department of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P, India.
Published: February 2020

Recent intervention of machine learning based methodologies into infrared thermography proves to provide better defect detection and characterization. This paper provides a Fuzzy decision tree based quantitative post processing modality along with a theoretical model for thermal waves to characterize the subsurface anomalies using quadratic frequency modulated thermal wave imaging. A carbon fiber reinforced polymers (CFRP) and mild steel (MS) specimens having flat bottom holes with different depths and sizes are processed through experimental evaluation. A direct depth estimation is provided by the proposed modality being evaluated from the proposed mathematical model. In addition, its detection capability and reliability over other contemporary approaches is compared using signal to noise ratio, defect sizing and probability of defect detection.
Hyperspectral and Multispectral Image Fusion Techniques
Authors:   Department of Computer Science, University of Kerala, Kariavattom, Thiruvananthapuram, Kerala, India., Muhammed* Shabin , D Rahul ,   Department of Computer Science, University of Kerala, Kariavattom Thiruvananthapuram, Kerala, India., S Vishnukumar ,   Department of Computer Engineering, Govt. Polytechnic College, Nedumkandam ,Idukki, Kerala, India.
Published: February 2020

The hyper spectral image covers a broad range of wavelengths in electromagnetic spectrum, spanning from visible to near-infrared region. The basic objective of hyperspectral imaging is to attain the spectrum for each pixel in the image of a scene, with the aim of identifying objects in the scene and its classification. The hyperspectral images give detailed spectral information but their spatial resolution is very poor. So to enhance the visual quality of the hyperspectral image, we can perform image fusion with high spatial information multispectral image. This paper provides a complete description of hyperspectral imaging and image fusion methods of hyperspectral and multispectral images. A quantitative and qualitative comparative analysis on performance of various hyperspectral and multispectral image fusion techniques are also done.
Stratification of Spam and Ham Short Message Service using Machine Learning Hash Vectorization
Authors:   Professor, Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, TamilNadu, India., Devi* M. Shyamala , Ahamed M. Nizar ,   Assistant Professor, Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, TamilNadu, India., Ahamed S. Arif ,   Assistant Professor, Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, TamilNadu, India.
Published: February 2020

With the increase in the usage of mobile technology, the rate of information is duplicated as a huge volume. Due to the volume duplication of message, the identification of spam messages leads to challenging task. The growth of mobile usage leads to instant communication only through messages. This drastically leads to hackers and unauthorized users to the spread and misuse of sending spam messages. The identification of spam messages is a research oriented problem for the mobile service providers in order to raise the number of customers and to retain them. With this overview, this paper focuses on identifying and prediction of spam and ham messages. The SMS Spam Message Detection dataset from KAGGLE machine learning Repository is used for prediction analysis. The identification of spam and ham messages is done in the following ways. Firstly, the levels of spread of target variable namely spam or ham is identified and they are depicted as a graph. Secondly, the essential tokens that are responsible for the spam and ham messages are identified and they are found by using the hashing Vectorizer and it is portrayed in the form of spam and Ham messages word cloud. Thirdly, the hash vectorized SMS Spam Message detection dataset is fitted to various classifiers like Ada Boost Classifier, Extra Tree classifier, KNN classifier, Random Forest classifier, Linear SVM classifier, Kernel SVM classifier, Logistic Regression classifier, Gaussian Naive Bayes classifier, Decision Tree classifier, Gradient Boosting classifier and Multinomial Naive Bayes classifier. The evaluation of the classifier models are done by analyzing the Performance analysis metrics like Accuracy, Recall, FScore, Precision and Recall. The implementation is done by python in Anaconda Spyder Navigator. Experimental Results shows that the Linear Support Vector Machine classifier have achieved the effective performance indicators with the precision of 0.98, recall of 0.98, FScore of 0.98 , and Accuracy of 98.71%.
Effect of Surya Namaskar With and Without Walking On Body Mass Index among College Girls with Premenstrual Syndrome
Authors:   Ph.D Research Scholar, VISTAS, Chennai,, Shakeela R. , Sugumar* Dr S.N. ,   Professor and HOD, Department of Economics, VISTAS, Chennai
Published: February 2020

Health is wealth. Keeping our body in good health is our duty, otherwise we shall not be able to keep our mind strong and clear. Science and technology have revolutionized the life style of mankind. Increased standard of living has brought great comfort to mankind. Along with this developments, the modern man becoming submerged in the material world with large number of problems and recurrent ailments. Stress and frustration and physical ailments have become common among the people in this world1. Birth is not for being tortured by diseases and problems. Happiness is the birth-right and the nature of mankind. Health only can give the happiness. But the happiness of women is disturbed very much by the menstrual problems. Every Woman may become physically, mentally and emotionally healthy through Yoga. The practice of Yogasanas for physical body and Pranayama for mind through Surya Namaskar will bring a positive change in mind & body, which in turn make people free to enjoy a harmony, healthy and wealthy life.
Combinatorial Interaction Testing For Improving Conformance Faults
Authors:   B-Tech, KoneruLakshmaiah Education Foundation, Vaddeswaram,Guntur(DT), Andhra Pradesh, India, Vignesh* Kolluri , Reddy Pulagam Meghana ,   B-Tech, KoneruLakshmaiah Education Foundation, Vaddeswaram,Guntur(DT), Andhra Pradesh, India, Aparna Vemulapalli Lakshmi ,   B-Tech, KoneruLakshmaiah Education Foundation, Vaddeswaram,Guntur(DT), Andhra Pradesh, India, Sridhar P. S. V. S. ,   Associate Professor, KoneruLakshmaiah Education Foundation, Vaddeswaram, Guntur(DT), Andhra Pradesh, India
Published: February 2020

In this paper we are describing about how to develop an interface for compiling of any java program and will show how many errors in the program. We will also perform some metrics like number of lines time taken to write the program, operands used in the program. And also find volume effort required to implement or understand the program. For this we are using Combinatorial Interaction testing (CIT), is a productive and viable strategy for identifying disappointments that are brought about by the collaborations of different framework input parameters. In this paper, we talk about CIT, call attention to a portion of challenges for applying it practically, and feature some ongoing advances that have improved CIT's immaterialness to present day frameworks. We additionally give a guide to future research and bearings one that we expectation will prompt new CIT look into and to more excellent testing of mechanical frameworks.
Potential Effects of Microorganism to Reduce Building Defects in Malaysia
Authors:   Department of Quantity Surveying, Faculty of Built Environment, University Teknologi Malaysia, Johor Bahru, Malaysia,, Islam* Monirul , Mohamed Sarajul Fikri ,   Department of Quantity Surveying, Faculty of Built Environment, University Teknologi Malaysia, Johor Bahru, Malaysia, Adeniyi Shogo Musbau ,   Department of Quantity Surveying, Faculty of Built Environment, University Teknologi Malaysia, Johor Bahru, Malaysia, Ahmed M Alghamdi Khalid ,   Umm Alqura University, College of Engineering and Islamic Architecture, Saeed Karban Abdullah ,   Umm Alqura University, College of Engineering and Islamic Architecture
Published: February 2020

Over the last few years, building defects is major concern in Malaysian construction industry. Design mistake or building flaw define as a defect which reduces building value and make a hazardous situation. A Building defect arises due to various reason, such as low handiwork or the use of adherent components, climatic construction, and faulty design. Building defects never emerge to have been minimized in contempt of new improvement in building technology. Defective building construction contributes both final cost of the product and cost of maintenance, which can be generous. By using effective microorganism (EM) in concrete building defects such as surface cracks, fatigue cracks and thermal contraction can be reduced significantly. Previous works in Japan and Malaysia found that effective in agriculture microorganism makes it possible increasing crop yields to twice or three times what they are at present to do so without the agricultural chemicals or artificial fertilizers, 5% of EM mixed into the concrete the tensile, compressive and flexural strength were 25.23%, 143.90% and 19.17% that are compared to design compressive strength that signify improve the concrete strength and durability. By using 25% EM in concrete the tensile strength was higher than the lower dosage. From the previous study, fermentation is the main notion in EMC in which the process will not produce detrimental texture. The research was carried out to investigate the potential usage of effective microorganism and its application in concrete that can help to reduce the building defects and improve building strength and durability. It was observed that most cost-effective and maximum percentage of EM mixed into the concrete is 5% in which enhancing its compressive, tensile and flexural strength.
Power Quality Improvement using DSTATCOM for Power System
Authors:   Associate Professor, Siddhartha Institute of Technology and Sciences, Hyderabad, Telangana, India., Kareem* Mohd Abdul , Ganesh Nomula ,   Associate Professor, Siddhartha Institute of Technology and Sciences, Hyderabad, Telangana, India., RAo Patlolla Rushikesh ,   Assistant Professor, Siddhartha Institute of Technology and Sciences, Hyderabad, Telangana, India.
Published: February 2020

Reactive power is created once this undulation is out of point in time with the voltage undulation thanks to inductance or capacitance load. Amp lag volt with associate angle for inductive load, lead volt for capacitor. The KVAR of the system should be compensated in order to smooth running of power system. There are various types of loads i.e. transformers, furnaces, induction motors etc. These types of loads require reactive power to sustain flux because this type of appliance major depends on flux density. Based on reactive power efficiency is regulated and efficiency of the system is incurred. DSTATCOM is a device which manages reactive power in a system. This device had quick management. Distribution synchronous compensator performance is carried out using Algorithm rule. This paper explains learning of reference current generation technique from decoupled amp management i. e p-q theory is based on voltage compensation using converter is utilized in this paper. Reference current developed by management topology are traced by compensator during physical phenomenon band management scheme. STATCOM module with HCC( Hysteresis current control ) square measured , generated and simulated in Matlab software using simulation . DSTATCOM is very efficient in controlling reactive power.
Smart Commuter Line (KRL) using IoT and SOA in Indonesia
Authors:   Information Systems Management Department, BINUS Graduate Program, Master of Information Systems Management, Bina Nusantara University Jakarta, Indonesia, Hutagaol* B. Junedi , Dennis  ,   Information Systems Management Department, BINUS Graduate Program, Master of Information Systems Management, Bina Nusantara University Jakarta, Indonesia, Richard Matius ,   Information Systems Management Department, BINUS Graduate Program, Master of Information Systems Management, Bina Nusantara University Jakarta, Indonesia, Legowo Nilo ,   Information Systems Management Department, BINUS Graduate Program, Master of Information Systems Management, Bina Nusantara University Jakarta, Indonesia
Published: February 2020

Commuter line (KRL) one of the better public transportation for commuter people in Indonesia especially in Jabodetabek (Jakarta, Bogor, Depok, Tangerang, Bekasi). Passenger satisfaction is the one of the service quality factor in KRL. There is no real time passenger information in both train and station, the situation make an unpredictable activity for passenger that want to use or wait the commuter line (KRL). Most of passenger cannot enter the train because the crowded passenger. KRL management cannot manage train capacity and train time management to meet passenger needs. This paper proposed a smart commuter line system to provide real time passenger information using IoT by count people using Markov Random Field framework and integrate all KRL enterprise system using SOA to support data integration.
Determination of White Layer Characterstics on Machining Process
Authors:   Research Scholar, Department of Mechanical Engineering, St Peter University, Avadi, Chennai, India., Rao* Vasudeva , P Periyasamy. ,   Professor, Department of Mechanical Engineering, St peter university, Avadi, Chennai, Rao P.V.Narasima ,   Department of Mechanical Engineering, St peter university, Avadi, Chennai, India., Vellavan K. ,   Asst Professor, Department of Mechanical Enginnering,, Valliammai Engineering College, Chennai, India., N Ramanan. ,   Sr Engineer, Synce Engineering Service, Chennai, India.
Published: February 2020

Now a day’s industries requirement as light weight and high wear resistance component. The component used as a various industrial application areas. The material also high self lubricant material also need. In this work we was used aluminium matrix composite with added in a CNT as a Nano materials. The materials has used to a high wear resistance and it is act as a self lubricant material also the material carry out different percentage and casting used in a stir casting method. The casting sample cut by a testing sample by used in an EDM wire cut machine. The sample carried out the result and plots the graphs. And the samples are carry out wear test using pin on disc method. The result shown in graph. And the sample machining study also did by EDM Wire cut machine. Finally carry out the white layer of the material. The study discussed with the paper. In this research work used in a light weight and self lubricant material needed area
Advancing Cloud Network Management with Smart Monitoring Technique
Authors:   Department of CSE, JIS College of Engineering, Kalyani, Nadia, W.B. India, Sahana* Sudipta , Bose Rajesh ,   Simplex Infrastructures Ltd, Kolkata, W.B. India, Sarddar Debabrata ,   Department of CSE, University of Kalyani, Nadia, W.B. India
Published: February 2020

The proliferation of Cloud Computing has opened new and attractive offerings for consumers. Cloud Service Providers promote and market packages of cloud computing services that cater to diverse opportunities and user applications. While this has obvious advantages, there are certain factors that are a cause for concern. Monitoring the underlying infrastructure that supports the entire fabric of cloud computing is an aspect that requires a great deal of attention. The aspect of monitoring takes on a great deal of significance when performance and robustness of cloud service on offer is taken into consideration. Although research has been conducted into various cloud computing monitoring techniques, there is scope and room yet for an integrated cloud monitoring solution that can fulfill the requirements of cloud administrators to ensure optimal performance of the underlying infrastructure of a cloud computing network. In this paper, we propose a unified monitoring model that is essentially a composite framework involving hardware and network layers. Studies conducted during our experiments suggest that our unified cloud monitoring approach can significantly aid in reducing overall carbon emissions while helping meeting compliance and audit norms by ensuring that the underlying cloud infrastructure is monitored closely.
Socio-economic Initiative of the Government and its efficacy on Tribal Women
Authors:   Research Scholar in KIIT Deemed to be University, Devi* Mrs. Sanjeeta Kumari , Dhal Nibedita ,   Faculty of Economics,KISS Deemed to be University Indian
Published: February 2020

It is a well-known reality that involvement of women in the development process is of utmost important as they comprise one-half of the world population. As per the world scenario, women’s share in relation to working hour is 60% which form 30% of the official labour force. Thus the share of contribution of the women to the world economy is 50 percentages (Department for International Development). Similarly the women in the tribal society constitute half of the tribal population. In the Indian constitution, the welfare state is enshrined with a view to ensure social justice to the most underprivileged class, particularly the scheduled tribes. Since the beginning of the 1st five year plan, the tribal administration has gained impetus and to ensure an integrated approach as well as policies for the amelioration of the tribal women, area development approach like Tribal Sub-Plan area, etc. The present study makes an assessment of the governmental efforts in different field taken for tribal upliftment with special reference to their women specific impact as well as the overall absorption, response and impact on the targeted tribal area. It is based on empirical study of two primitive tribes of Rayagada and Keonjhar district.
Music Genre Classification using Lyric Mining Based ontf-Idf
Authors:   Department of Information Technology SRM Institute of Science and Technology Chennai, India, K* Meenakshi , SafaM.  ,   Department of Information Technology SRM Institute of Science and Technology Chennai, India, G. Geetha ,   Department of Information Technology SRM Institute of Science and Technology Chennai, India, G Saranya ,   Department of Information Technology SRM Institute of Science and Technology Chennai, India, Kanchana J Sundara ,   Department of Information Technology SRM Institute of Science and Technology Chennai, India
Published: February 2020

With the advancement in the internet technologies, music domain has flourished with better access to various music libraries. In the present times, we are able to access music files over the internet with ease. Nowadays, the lyrics sets are categorised into different genres which cater to various listener moods. Users prefer to listen to music that best suits their mood. Thus considering the need for such classification, research works are being carried out to develop methodologies that can distinguish the music based on individual mood. In this research, instead of using the traditional method of audio feature analysis, we propose to develop a system which analyses the lyrics dataset of the songs based on the features extracted from the training phase and we can predict the mood of the song that is presented to the system at the validation stage. The proposed system is considering five moods containing one hundred songs each, for the validation purpose. The system is capable of predicting the mood of the song based on the analysis of the lyric text.
Test of Descriptive Power of Capital Structure Theories in Auto Ancillary Industry in India
Authors:   Associate Professor and Director, School of Commerce –PG, Rathnavel Subramaniam College of Arts and Science., Nirmala* Dr.S. , Karpagavalli Dr. R. ,   Head and Associate Prefessor, School of Commerce,. Rathnavel Subramaniam College of Arts and Science.
Published: February 2020

More than the past fifty years after the contribution by Modigliani and Miller's to the literature of capital structure, many economists in the field of finance have been intensely contributed to this concept. Various principles such as Agency Theory, Principle of Pecking Order, Signaling Theory and Theory of Trade off have been invented by various authors in the concept of capital structure. This study undertaken to know to the extent the theories of capital structure are applied in Indian industries especially in Auto Ancillary sector. The changes in today’s financial markets after liberalization have certainly made an impact on the composition of capital of corporate units. Hence the present research concentrates on post liberalization period to observe the descriptive power of the principles of capital structure.
590 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Retrieval Number: E5042018520/2020©BEIESP DOI:10.35940/ijrte.E5042.018520 Journal Website: www.ijrte.org “Financial Sector Development and Pecuniary Growth: Evidence from India and the Republic of Korea”
Authors:   Professor, Finance & Accounting Department of Commerce, Prestige Institute of Management, Gwalior India., Chauhan* Dr. Abhay Singh , Sikarwar Dr. Tarika Singh ,   Professor, Finance, Specialization Head Finance, Prestige Institute of Management, Gwalior, India.
Published: February 2020

Pecuniary growth is the basic indicator by which a nation is always acknowledged, we can identify the pecuniary growth by measuring the GDP of the country. A nation is generally regarded as more developed if its growth is more. Simultaneously, overall pecuniary development of any nation takes place. A profusion of works indicates the existence of causation between growth of economy and “financial sector development”. Further an endeavor has been made for exploring the causation amongst financial sector enhancement and development of economy with special reference to India and Republic of Korea. Causality test was employed with the help of VAR. Further in the work it has been found that deepening of financial sector shows unidirectional relationship, financial sector efficiency leads to no causality and financial sector stability shows partial causal relationship with “Pecuniary Growth” in Indian context. While on the other hand, in case of republic of Korea almost no causality was found in financial sector deepening, bidirectional and unidirectional causality in case of financial sector efficiency and partial causality was found in financial efficiency with “Pecuniary Growth”. Thus, vigorous results were evaluated and examined which supported the literature.
Joint Channel and Interference Aware Cooperative Routing for Cognitive Radio Network
Authors:   CSE,University Visvesvaraya College of Engg, Bangalore University, Bangalore, India., Gudihatti K N* Shyleshchandra , Manjula S H ,   CSE,University Visvesvaraya College of Engg, Bangalore University, Bangalore, India., K R Venugopal ,   Bangalore University, Bangalore, India.
Published: February 2020

Cognitive Radio based network technology provides a promising solution for various types of real-time wireless communication by offering better spectrum utilization and resource allocation. Generally, the dynamic network topology, interference, channel switching and under-utilization of resource can degrade the network performance. Therefore, development of promising solution to obtain the desired performance is a challenging research topic in CRNs. Several researches have been carried out which have focused on development of routing protocol for CRNs to improve the performance. These routing protocols are classified as local and global routing which are mainly focused on overhead reduction and optimal route selection respectively. However, the conventional approaches suffer from various issues such as interflow-interference, channel switching delay and node overhearing problems which can progress towards the poor network performance. In this paper, our objective is to focus on the inter-flow interference, channel switching delay, and develop a cooperative communication based approaches where inter-flow interference and overhearing issues are mitigated using cooperative communication. Furthermore, Switching Delay and Interference (SDI) routing metric is developed to reduce the switching delay and also finally, a cooperative scheme of packet transmission is developed where direct or cooperative communication is selected for successful packet transmission. The proposed approach jointly considers channel and interference issue, hence it is known as Joint Cooperative Channel and Interference Aware Routing (JCIAR). The performance of proposed approach is compared with the existing techniques such as Primary User Aware k-hop route discovery scheme (PAK), AODV, Cognitive- AODV, and Location-Aided Routing for CRN (LAUNCH) in terms of delay, packet delivery rate and throughput. The obtained result shows a significant improvement in network performance.
QoS Aware Video Transmission in Wireless Network: Successful and Failure Existing Technique
Authors:   Assistant Professor, Dept. of Computer Science and Engineering, HKBK College of Engineering, Bengaluru, Chavan* Pundalik , Reddy Dr. K. Satyanarayan ,   Professor and Head of the Department, Dept. of Information Science and Engineering, Cambridge Institute of Technology, Bengaluru
Published: February 2020

Wireless technology has become one of the integral part of our daily life, it is the 21st century technology, emergency of wireless network have led the multimedia distribution very effectively. Moreover the video has been an eminent media for communications as well as for the entertainment purpose for past several decades. Due to improvisation in technologies people can communicate over face to face over the wireless network without any concern about the distance, hence the video transmission over the wireless network has become one of the interesting application in daily life. Moreover, it is very important to maintain good QoS (Quality of Service) such as effective bandwidth, routing protocols and other QoS parameters. In this paper, we have surveyed the extensive amount of research paper to understand the Quality of service, meanwhile we have extensively discussed the various existing methodology, which has helped in improvising the wireless network for video transmission. Moreover the main aim of this research work is to survey and address all the requirement along with challenges that occurs while designing the wireless network, also this survey unveils the recent development in optimization, algorithm, novel approach and the protocols for improvising the Quality of Service.
Design and Implementation of Sequential Circuit Based on Reversible Gate in Emerging Technologies for HCI
Authors:   Assistant Professor, Department of EC, Rabrindra Nath Tagore University, Bhopal, India., Mishra* Ravitesh , Gupta Sanjeev ,   Dean Academics, Department of EC, Rabrindra Nath Tagore University, Bhopal, India.
Published: February 2020

Affective computing is a growing research area used to develop the system in such a way to recognize, interpret, process and simulate the human emotions in a systematic manner. The main application of Affective computing is the human computer interaction, in which the communication between the human and the machine enhances by giving an appropriate response to the user in an effective and empathic manner. This paper mainly concentrates on the systems which can extract the previous, past and present information based on sequential circuit. Design sequential circuit (SC) with the help of reversible gate (RG) because RG is an emerging technology and consume low power and area. The SC is implemented Xilinx software and calculates parameters.
Provide the Safe Environments for Cloud Computing using Authenticated Key Manage Procedure
Authors:   Research Scholar SRU Alwar, Rajasthan,India.., Saikiran E. , Dr. Anubharti  ,   Dean of Engineering SRU, Alwar, India, Rahman Dr Md. Ateeq-ur ,   Professor and Principal. Shadan College of Engineering and Technology, Hyderabad, Telangana, India
Published: February 2020

with the development of cloud computing innovation regarding unwavering quality & proficiency, countless administrations have relocated to the cloud stage. To advantageous access to the administrations & secure the protection of correspondence in people in general system, 3-factor Mutual Authentication & Key Agreement conventions for multi-server designs increase extensive consideration. Be that as it may, the vast majority of the current 3-factor Mutual Authentication & Key Agreement conventions don't give a proper security verification bringing about different assaults going on associated conventions, or they have high calculation & correspondence expenditure. What's more, the majority of the 3-factor Mutual Authentication & Key Agreement conventions haven't a unique denial instrument, which prompts pernicious clients cannot be expeditiously disavowed. To concentrate on these downsides, we plan a unarguable unique revocable 3-factor Mutual Authentication & Key Agreement convention that accomplishes the client dynamic management utilizing Schnorr marks & gives proper security verification in the irregular prophet. Security examination shows that our convention can fulfill different needs in the multi-server situations. Execution investigation exhibits that the proposed plan is appropriate for computing asset obliged savvy gadgets.
Restorative Option of Katraj Lake Water for Domestic Use in Emergency
Authors:   Professor, Civil Engineering Department, KJEI’s K.J. College of Engineering And Management Research, Pune, Maharashtra, India., Inamdar* Dr. Amol Ashok
Published: February 2020

After stone-age man started to live on the banks of river and lakes, human societies developed and grew on the banks of river and lake. The purpose of this was that man use water for various purposes like drinking and irrigation. After the growth of industrialization and urbanization, there has been an increased pollution load on the rivers in India. The most important sources of pollution in rivers and lakes are the untreated sewage and direct discharge of waste water in sewage. Due to direct discharge of waste water in the river and lake bodies, the water gets polluted and affects the aquatic life and also causes a lot of water epidemic diseases. This affects the water quality and ecology. Factors such as types of industries, habits of people and non-point sources are responsible for the increase of the wastewater discharged into water body. Increase in globalization and industrialization country faces the various challenges for providing clean and safe water to the public. In terms of its quick growth and development, Pune city becomes one of the growing and emerging cities of India. More and additional individuals from outside city are migrating into Pune town. The population increase in Pune throughout the last 2-3 decades has been significantly fast with a resultant outcome on the rise of pollution level. In this paper study is concentrated on Katraj Lake water pollution and curative measures. It is a perennial urban pond, located close to temple and encircled by the city slum and human habitation, that is employed by inhabiting individuals around it for numerous activities like bathing, fishing, washing clothes, and dumping sewages etc. The focus of this study is to analyse physical and chemical properties of lake water so that quality of discharged water is improved. Also to design water treatment plant to reuse lake water as an emergency supply in nearby area. Generally, in summer season there is always scarcity of water in Katraj Area. We can use this treated water wherever required for domestic purpose by tankers.
The Construction Market Monopolization: Identification of the Threats to the Economic Security of Ukraine
Authors:   Ph.D. in Economics, Associated Professor, Accounting and Audit Department, Pavelko* O.V. ,   National University of Water and Environmental Engineering, Rivne, Ukraine, Lazaryshyna I.D. ,   Doctor of Economic Sciences, Professor, Head of the Department of Statistics and Economic Analysis, National University of Life and Environmental Sciences of Ukraine, Doroshenko O.O. ,   Ph.D. in Economics, Associated Professor, Accounting and Audit Department; National University of Water and Environmental Engineering, Rivne, Ukraine, Vashai Yu.V. ,   Ph.D. in Economics, Associated Professor, Economic theory Department; National University of Water and Environmental Engineering, Rivne, Ukraine, Zinkevych O.V. ,   Ph.D. in Economics, Associated Professor, Accounting and Audit Department; National University of Water and Environmental Engineering, Rivne, Ukraine
Published: February 2020

The degree of the construction market monopolization of Ukraine is assesed. Threats to the economic security of the state are identified, considering that monopolization causes significant public losses related to the establishment of monopoly prices, the slowdown in scientific and technological progress, the irrational allocation of resources. According to data on the net income of enterprises in the construction industry of Ukraine, the authors calculated Market concentration ratio, Herfindahl-Hirschman index, Dispersion of market shares, Coefficient of variation, Gini index, Entropy of market shares, that indicate a low level of the construction industry monopolization in Ukraine. Defined indicators allowed to form a matrix, which characterize the level of market concentration and its dynamics. According to the values of the variation index and the Gini index, the market studied belongs to highly monopolized, and due to the tendency of the Gini index to increase, it falls into the “red zone”. This means the emergence of threats to national economic security associated with a decrease in GDP, increased income differentiation, reduced state budget revenues, and the like and indicates the need for macroeconomic measures that would restrain the development of monopoly phenomena in the construction market. This approach to identifying economic security threats resulting from market monopolization will allow the state to respond to negative trends in a timely manner, counteracting the threatening factors.
Digitalization in Dental problem diagnosis, Prediction and Analysis: A Machine Learning Perspective of Periodontitis
Authors:   Research Scholar, SCOPE,Vellore institute of Technology, Vellore, Tamil Nadu, T.K Lakshmi , J* Dheeba ,   Associate Professor, SCOPE, Vellore institute of Technology, Vellore, Tamil Nadu
Published: February 2020

Artificial Intelligence, Machine learning, deep learning and image processing is becoming popular in medical sciences. The present digitalized world is remodelling each facetadditionally impacting dentistry and medical field from patient record maintenance, data analysisto new diagnostic methods, novel interference waysand totally different treatment choices. Oral health contributes to various diseases and conditions like Endocarditis, Cardio vascular diseases, diabetes, osteoporosis, pregnancy and birth and many more. Bad breathe, tooth decay, periodontitis, oral abscess, tooth erosion, dentinal sensitivity and many more can be even trickier to detect in plain dental radiography. The most prevalent disease periodontitis is a gum disease when left untreated, leads to tooth loss and more hazardous complications. Early Prediction and Proper diagnosis in time will protect our health from the mentioned diseases which can be implemented by making use of emerging technologies to assist and support dentists in predictions and decision making. Hence focusing more on oral health, In the current paper, the most contributing risk factors and parameters like Pocket Depth, Black Triangles, Alveolar Bone Loss, Furcation, Periodontal Abscess, Smoking, Gingivitis, Clinical Attachment Loss, Mobility Etc. that progresses the disease were taken in to consideration and a Python code was implemented which can be used as a Decision making aid to check whether person suffers or likely to suffer in future or not suffering from the disease.In this paper, literature reviews on the various automated computerized methods used to detect and diagnose the disease were discussed and an attempt was made to clearly identify and describe both the clinical and radiological parameters that a dentist/Periodontist use as a metric to grade/assess the periodontitis. The present strategy can be enhanced as a tool and can be used as a decision making aid by dentists’ in the prediction of periodontitis and can also be used for demonstrating fresher’s or upcoming dentists the progress of gum disease, grading the severity of the disease and the associated risk factors considering clinical, radiological findings and adverse habits thereby improving overall time period taken for manual predictions.
Weighted Fuzzy Sets
Authors:   Research Scoler, Department of Mathematics, Loyola College, University of Madras, Chennai-34, India., T* Pathinathan , P Mahimairaj ,   Research Scoler, Department of Mathematics, Loyola College, University of Madras, Chennai-34, India.
Published: February 2020

The weighted fuzzy subset is to describe the importance of each element in the set through the characteristi3c function. In this paper, we study how an element and its presence in the set, namely, the degree of belongingness plays a role in determining the characteristic level of the set. Presence of an element in the set strengthens the set to a greater extent. Set gets its weightage, because of its elements and its association with the other elements. Association depicts the internal and external factors influencing over an element. In other words, the proposed weighted fuzzy subset has 3-tuple representation such as elements in a set, degree of presence of an elements and degree of impact of the set because of each elements presence.
Mechanical Engineering Students Perceived Speaking and Listening Competence: A Self-Assessment
Authors:   Pusat Bahasa & Pembangunan Insan, Universiti Teknikal Malaysia Melaka, Durian Tunggal Melaka, Malaysia., Halim* Noor Baiduri Abd , Kamarudin Mohd Fauzi ,   Pusat Bahasa & Pembangunan Insan,, Munir Fudhail Abdul ,   Faculty of Mechanical Engineering, Universiti Teknikal Malaysia Melaka (UTeM), Durian Tunggal Melaka, Malaysia.
Published: February 2020

Speaking and listening are the four essential macro skills in English as Second Language (ESL) learning. In recent years, education evaluation has become a vital indicator in assessing the outcomes of the education delivery system. In this study, speaking and listening skills of students were assessed by using the Can-do scales. The scope of the study is confined to undergraduate and postgraduate mechanical engineering students with the aim to evaluate their capability in practicing their English language skills, particularly speaking and listening. The respondents are undergraduate and postgraduate students from Faculty of Mechanical Engineering, Universiti Teknikal Malaysia Melaka (UTeM). A total of 39 respondents were involved in the survey conducted for this study. It is found that respondents have no difficulties if the conversation is regarding basic topics. Nevertheless, respondents have problems to speak when dealing with unfamiliar topics. The outcomes of this study can be utilised to improve students’ English communication skills. In addition, the teaching method can also be enhanced in order to enable students to communicate their subject matter that is engineering in both academic life and future career.
Active Learning Strategies for Technological Courses
Authors:   Lecturer, Department of Computer Science Prince Sattam Bin Abdul-Aziz University, kingdom of Saudi Arabia., Muqeeth* Mr. Mujthaba Gulam , Kazi Dr Raisa Nazir Ahmed ,   Assistant Professor of Physiology in College of Applied Medical Science, Prince Sattam bin Abdul Aziz University, Saudi Arabia., Kolhar Dr. Manjur ,   Associate Professor of Computer Science Department at Prince Sattam Bin Abdul-Aziz University, Kingdom of Saudi Arabia.
Published: February 2020

Almighty created human beings with countless endeavors among that learning plays a vigorous role. Learning can be systematized set of principles which acquires, stores, disseminates, process or understand and recall the various knowledge domains. Quenching the thirst of knowledge is conceivable by either Traditional Learning or Active Learning and both strategies or mechanisms. In this study we discuss on how Traditional Learning strategies continuous from years to gather in importing the knowledge by using chalk and board with numerous pros and cons. This learning focuses on memorization techniques but partially succeed in developing creative thinking strategies. Other limitation of this traditional teaching is due to participation of “only teacher interaction with the student “could not able to achieve outcome of the entire courses. To create interactive environment between the teacher and student we focus on active learning strategies. Active learning is super engaged strategy for cultivating creating thinking power of learners. This strategy is ongoing best suited and result oriented for mainly experimental and applied courses. In this paper we discuss how effective these strategies could be a productive means of achieving course outcomes for modern technological courses. Active Learning strategies will bridge the gap between traditional teaching strategies and modern technological courses outcomes. The various Active Learning strategies which are encountered are perception learning (listening & speaking), Thinking & Reasoning, Class room discussions, Think pair & share; Problem based learning, Solution Based Learning, Shared brain storming and Experimental learning. These strategies can be applied to technological, management, Engineering, medical courses which exhibit the active learning strategies.
Parametric Modeling of SAW Process using Genetic Algorithms Based Technique
Authors:   Department of Mechanical engineering, Sreenidhi Institute of Science and Technology, Hyderabad, India., Sahithi* P , Srujama V ,   Department of Mechanical engineering, Sreenidhi Institute of Science and Technology, Hyderabad, India., Saifulla S Khaleed ,   Department of Mechanical engineering, Sreenidhi Institute of Science and Technology, Hyderabad, India., Kondayya D ,   Department of Mechanical engineering, Sreenidhi Institute of Science and Technology, Hyderabad, India.
Published: February 2020

The main aim of the present work paper is to apply a novel and efficient evolutionary technique in modeling welding responses which is very essential in subsequent optimization of the welding process. Submerged arc welding (SAW) being a highly efficient welding process owing to deep penetrant weld and smooth finish is used for the process modeling in the present research study. An empirical relationship is established between the significant input welding parameters and bead geometrical parameters (responses) by using a potential modeling tool namely, gene expression programming (GEP). Thus GEP gives the optimized model expressions to relate the responses to selected inputs. The various input parameters selected are Voltage, electrode wire feed, carriage speed and tube-end to work distance. These are altered to predict the responses namely, reinforcement, penetration and width of the bead. The models obtained have high correlation coefficients thus indicating the effectiveness of the GEP algorithm.