bluuebunny/crossref_metadata_2025 huggingface dataset:
A Method for the Analysis of Facial Expressions using Machine Learning Algorithms
Authors:   Assisstant Professor, Department of Information Technology, SKCET, Coimbatore, Tamil Nadu, India., Anand* Ms.Sruthi , Elwin J Dr. Granty Regina ,   Associate Professor, Department of Information Technology, SKCET, Coimbatore, Tamil Nadu, India., Priya K Ms.Ranjeetha ,   Assisstant Professor, Department of Information Technology, SKCET, Coimbatore, Tamil Nadu, India., Farhin H Ms.Ayisha ,   Department of Information Technology, SKCET, Coimbatore, Tamil Nadu, India.
Published: December 2019

The interaction between human and machine systems have thrived a great importance in understanding the emotions and extracting them. Emotional analysis statement has a complication with large number of input features and varying human expressions, which needs classification of compact number of similar features using classification algorithm. Automatic facial recognition.may sometimes act as an element for natural human interface machines. Various techniques have been proposed to perform emotional analysis which shown a great progress in success in adopting the algorithms and methods. This paper provides a survey on the different algorithms and techniques emphasized for emotional analysis.
An Autonomous Air Pollution Monitoring System using IOT and Cloud
Authors:   Dept of Information Technology, Sri Krishna College of Engineering and Technology, Kuniamuthur, Coimbatore – 641 008, Tamil Nadu, India, Susila* Dr.N. , Daniel Esther ,   Dept. of CSE, Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu, India., Durga S. ,   Dept. of CSE, Karunya Institute of Technology and Sciences, Coimbatore,Tamil Nadu, India.
Published: December 2019

Air pollution and its impact in the oceans and the terrain are in need of attention since it causes adverse effects in livelihood. Air pollutants identified so far produce destructive impacts to the human beings and the environment as well. The increase in toxic level reduces the capacity of the oceans to produce required oxygen which is a deteriorating factor. According to a recent report released by World Health Organization. 9 out of 10 people breathe the polluted air. Hence an efficient solution to monitor and control the air pollution is required. Recent trends in Internet of Things had helped in employing different gas sensors in order to identify the air pollutant levels. In this paper, it is proposed to develop a low cost system for efficient pollution monitoring and controlling. Integrated Internet of Things technology with Cloud services are employed to enable the effective services. Microsoft Azure’s cloud services are used to store the inferred data which is used for further communication. The pollutant’s toxicity level is identified and the system is alerted in order to control the air pollution. The system also uses the GSM / GPS module to track the location of high sensitivity within the selected zone. The toxic level of each type of pollutant is assessed. The main objective of the proposal is to observe, alert and control the air pollution.
Algorithm for Emotion Prediction using Twitter Dataset
Authors:   Research Scholar in Computer Science, Mother Teresa Women’s University, Kodaikanal, Tamilnadu, India., Arulmozhi* K. , Ponnusamy Dr. R. ,   Professor, Department of Computer Science and Engineering, CVR College of Engineering, Ibrahimpatan, Hyderabad, Telangana, India.
Published: December 2019

In today's internet world almost each and everyone uses Smartphone and they are all also active in various social media. In general social media contains a huge amount of data that can be extracted and utilized to find various data insights including polarity emotion etc... This research paper mainly investigates in emotion predection using a machine learning approach . Here a novel algorithm was introduced to predict the emotion of tweets . The algorithm mainly deals with emotion Prediction by utilizing various parameters like unigram , bigram , edge weight matrix , frequency matrix and so on . Finally , the result was predicted with the emotions of the tweets . While testing with various search terms this algorithm performs well in Predicting the emotion like anger, happiness and so on .
A Performance Analysis of Detecting Credit Card Fraud by using CT18 Method
Authors:   PG and Research Department of Computer Science, Rajah Serfoji Govt. Arts College (Autonomous), Thanjavur, Tamilnadu, India, Subbulakshmi* S. , Evanjaline Dr.D.J. ,   Assistant Professor, PG and Research Department of Computer Science, Rajah Serfoji Govt. Arts College (Autonomous), Thanjavur, Tamilnadu, India.
Published: December 2019

Credit cards are a significant component of everyday life. Whether purchasing gas and supermarket stores or reserving a hotel and lease a car for the next holiday. Credit cards are a pleasant and safe type of client payment. Advantages that differ from harm security on payments to the convenience of disputing suspect fees or suspicious activity make credit cards such an appealing form of transaction. It takes an hour for any time activities, online shopping, and paperless system. As the amount of credit card customers rises day by day, significant illegal activities eventually enhance. CT18 technique is the procedure for categorizing information directed at reformatting observations into CT18, whereby each observation belongs to the closest mean cluster. This is one of the simplest unsupervised learning algorithms that solve the well-known grouping problem
Human Machine Interaction: Virtual Podium for Enhanced Job Search
Authors:   Assistant Professor, Jamal Institute of Management, Tiruchirappali, Tamilnadu, India., Sivanesan* Dr. G. , Selvarani Dr. A. ,   Associate Professor, Jamal Institute of Management, Tiruchirappali, Tamilnadu, India., Kanagaraj V. ,   Research Scholar(PhD), Jamal Institute of Management, Tiruchirappali, Tamilnadu, India.
Published: December 2019

A career fair is an event that provides employees and employers a simultaneous to meet one another, set up professional contacts, and chat potential job and/or placement openings. Many companies from a mixture of industries attend, and there are both general and specialized career fair events. There are many progressive reasons to take the time to prepare for and attend a career fair. Networking with employers is eminent while organizing a job fair. Career fairs are a free resource for you to realize which employers are hiring and interested in your skill set in a cost-effective, efficient manner. Jobs Fairs aim to give people the chance to explore employment opportunities in their local community. A virtual career fair is an online proceeding where employers and job seekers meet each other in a virtual environment, using chat rooms, teleconferencing, webcasts, webinars and/or email to exchange information about job opportunities. In today's digital world, it's only natural that the solution would also be a digital one. CV Capture apps are the recruiters' grievances solved. With this new technology, recruiters can digitally capture and store candidate resumes in a matter of seconds. Relatively new trends are the so-called online job fairs or virtual career fairs. The concept is the same as with traditional career fairs, but all interaction occurs on an online platform specifically designed for the purpose.
Trust based Secure and Energy Efficient Routing using ACO for WSN
Authors:   Research Scholar, Department of Computer Science, Jamal Mohamed College (Autonomous), (Affiliated to Bharathidasan University), Tiruhcirappalli, Tamilnadu, India., Jainulabudeen* A. , Surputheen Dr. M.Mohamed ,   Associate Professor, Department of Computer Science, Jamal Mohamed College (Autonomous), (Affiliated to Bharathidasan University), Tiruchirappalli, Tamilnadu, India.
Published: December 2019

Secure and energy efficient routing is one of the major requirements of the WSN models. This is due to the resource constrained environments and remotely deployed conditions. This work proposes an effective model that ensures security and energy efficiency during the routing process in a WSN. The proposed model modifies the Ant Colony Optimization algorithm to perform routing based on these multiple objectives. The proposed model uses trust as the major component to provide security, and the randomness associated with the metaheuristic nature of the model enables uniform usage of all sensor nodes. This also extends the network lifetime, making the proposed model highly efficient and deployable in real-time networks. Experiments and comparisons also indicate that the proposed model exhibits shorter time requirements and provides more optimized paths compared to models in literature.
An Efficient Resource Scheduling Framework for Infrastructure Performance Enhancement in Cloud Environment
Authors:   Research Scholar, Department of Computer Science, Jamal Mohamed College (Autonomous), (Affiliated to Bharathidasan University), Tiruhcirappalli, Tamilnadu, India., Abdullah* M. , Surputheen Dr. M. Mohamed ,   Associate Professor, Department of Computer Science, Jamal Mohamed College (Autonomous), (Affiliated to Bharathidasan University), Tiruchirappalli, Tamilnadu, India.
Published: December 2019

On-demand cloud services must be provided to customers at any time by ways of cloud service providers due to cloud demand. It is obligatory for cloud service providers to lessen large volumes of data, thereby it can reduce costs for maintaining large storage systems.Infrastructure level performance is an important problem which directly affects the overall working of cloud computing environment. The objective of our framework is enhancing the performance of cloud infrastructure. Proposed approach demonstrates high effective in cloud performance enhancement, as it displays enhancement in both the service providers as well as for cloud users.
Multi-Level Credit Card Fraud Detection
Authors:   Research Scholar, Department of Computer Science, Jamal Mohamed College, Trichy, Tamilnadu, India., Sobanadevi* V. , Ravi G. ,   Associate Professor and Head, Department of Computer Science, Jamal Mohamed College, Trichy, Tamilnadu, India.
Published: December 2019

Fraud detection in credit card transactions is one of the major requirements of the current business scenario due to the huge amount of losses associated with the domain. This work presents a multi-level model that can provide highly effective fraud detection in credit card transactions. The model is based on the amount for which the transaction is committed. The proposed MLFD model identifies the nature of the transaction and depending on the significance level of the transaction, the appropriate learning model is selected. Experiments were performed with the standard benchmark data and comparisons were performed with existing model in literature. Results shows that the proposed model exhibits high performance compared to the existing model.
Implementation of Obstruction Avoiding Robot using Ultrasonic Sensor and Arduino UNO
Authors:   BTECH in Electronics and Communication Engineering, Vellore Institute of Technology, Vellore, Tamilnadu, India., Varma* Arjun , A Ashwath ,   BTECH in Electronics and Communication Engineering, Vellore Institute of Technology, Vellore, Tamilnadu, India., Verma Ayush ,   BTECH in Electronics and Communication Engineering, Vellore Institute of Technology, Vellore, Tamilnadu, India., Bagubali A. ,   Assistant Professor, Vellore Institute of Technology, Vellore, Tamilnadu, India., Krishnan Kishore V ,   Associate Professor, Vellore Institute of Technology, Vellore, Tamilnadu, India.
Published: December 2019

This project attempts to create an obstruction avoiding robot which can automatically sense the presence of an obstruction in its path and avoid them. It intelligently detects barrier present in its path through the ultrasonic sensors, with the help of the internal code from the Arduino UNO, decisions are made to avoid the barriers. This has been achieved by using an ultrasonic sensor and the development board Arduino UNO. The ultrasonic sensor is mounted on a servo motor at the front of the vehicle for a wider field of view. The ultrasonic sensor acquires data which is processed by the Arduino which then decides the direction of travel for the robot. The robot requires low voltage and minimal maintenance for continued operation. Arduino being an open-source software has gained popularity for the creation of basic prototypes due to its relative simplicity in both design and coding. It also boasts of a large online community of learners and engineers.
Decision Support System Analysis for Malignant Melanoma Detection
Authors:   Assistant professor, Department of CSE, Saveetha Engineering college, Chennai, Tamilnadu, India., Raju D* Naveen , S Hariharan ,   Professor, Deparment of CSE, Saveetha Engineering college, Chennai, Tamilnadu, India., M Ramprasath ,   Associate Professor, Department of CSE, Madanapalle Institute of Technology Science, Chittoor district of Andhra Pradesh, India., M Manickam ,   Associate Professor, Department of CSE, Saveetha Engineering college, Chennai, Tamilnadu, India.
Published: December 2019

One of the most deadly dangerous disease is cancer which is among human beings. Skin cancer is of different types that is found recently among humans. Melanoma is one such type of skin cancer which causes majority of death rate. Biopsy method leads to conventional clinical diagnosis for detection of melanoma. The study in this paper presents different benchmarking techniques for melanoma prediction and evaluation. The main challenge is detection of malignant melanoma, which is found to have asymmetrical, irregular borders, notched edges and colour variations. The various stages of skin cancer prediction were analyzed in this paper. A detailed study on various techniques of medical image processing as applied to melanoma images for past years which need the more attention which is discussed here. The techniques and methods that exit are helpful in each of these process are evaluated and summarized. The paper aims at presenting an analysis on to identify on investigation efforts required to group and classify the sub categories available in the literature and to provide a summary of all the available methods for identification of melanoma cancer.
Pro-Active and Pre-Emptive Intelligent Network Management Strategies in Internet of Things
Authors:   Assistant Professor,Department of Computer Science and EngineeringSri Krishna College of Engineering and Technology,Coimbatore.,TamilNadu,India., Fathima K M* Majidha
Published: December 2019

Whenever a user browses the internet, the content he sends or receives takes the form a Protocol Data Unit as packets according to the OSI (Open Systems Interconnection) layers. These packets travel from the source to the destination through the path chosen by the routing protocols as OSPF (Open Shortest Path First) and BGP (Border Gateway Protocol). OSPF is used for interior routing within an AS (Autonomous System) and BGP is used for exterior routing between two external AS. Some customers are dual-homed where they have connections to two AS with one as the primary and the other one as secondary. Such diversed enormous traffic generated by the end users and the Internet Service Providers (ISP) have to be efficiently managed and monitored for the purpose of billing, security, QoS (Quality of Service) and SLA(Service Level Agreement) parameters. Hence the existing routing algorithms need to provide intelligent routing. The Simple Network Management Protocol (SNMP) generates the corresponding packets called SNMP traps. These specific packets are exchanged between the server and the appropriate interfaces of the routers when they are being polled. This polling technique generates a utilization graph which indicates the incoming and outgoing traffic at the core layer, distribution layer and access layer. The last mile traffic also has to be examined for checking the the bandwidth utilization. The traditional SNMP also has to incorporate the machine learning technique. This paper focuses on implementing intelligent network management in an Internet of Things environment.
Secure Integration of Cyber Security and Internet of Things in Addressing its Challenges
Authors:   Department of CSE, Kongu Engineering College, Perundurai, Erode, Tamil Nadu India., S* Malathy. , Vanitha Dr.C.N. ,   Department of CSE, Kongu Engineering College, Perundurai, Erode, Tamil Nadu India.
Published: December 2019

The main objective of this paper is to give details about the security problems related to IoT and ways to overcome it. Almost everyone are accessing to internet daily. Most crucial data are shared over internet among various persons. Things which are connected to internet are known to be Internet of Things. Even though Indians are facing the huge attack, they are the leading internet users around the world. The main type of attacks are Phishing, smart phone attacks etc. This the main reason for the raise of internet security which is termed as cyber security. Setting strong passwords, preventing illegal access using two factor authentications are most common ways for preventing the things from internet.
High Speed FIR Filter Design using Multiplier Sharing and Sub-Expression Elimination Method
Authors:   Assistant Professor, Department of ECE, Kongu Engineering College, Perundurai, Erode, Tamil Nadu, India., M* Chitra , S Priyanka ,   Student, Department of ECE, Kongu Engineering College, Perundurai, Erode. Tamil Nadu, India., Vardhan K.N. ,   Student, Department of ECE, Kongu Engineering College, Perundurai, Erode, Tamil Nadu, India., S Ramya ,   Student, Department of ECE, Kongu Engineering College, Perundurai, Erode, Tamil Nadu, India.
Published: December 2019

FIR filter is the basic filter used in many DSP applications because of its linear phase , stability , low cost and simple structure . Designing a high- speed and hardware efficient FIR filter is a very difficult task as the complexity increases with the filter order .In most Application the higher order filters are required but the memory usage of filter increases exponentially with the order of the filter using multipliers occupy a large chip area and need more access time. So the design and implementation of highly efficient look up table (LUT) based circuit for the implementation using DA Algorithm increases the speed. Multiplier sharing and sub-expression elimination methods are proposed to optimize the Structural adders. These methods split the structural adders into smaller adder blocks to reduce the delay. In order to reduce the complexity of structural adders round-off can be performed at the cost of sacrificing precision of the filter.
Detection of Huntington’s Disease in Human DNA Sequence using Numerical Encoding Method and Machine Learning based Classifier
Authors:   A Department of Computer Science and Engineering, Government College of Engineering, Tirunelveli, Tamil Nadu, India, Tamilpavai* G. , Vishnuppriya C. ,   Department of Computer Science and Engineering, Government College of Engineering, Tirunelveli,, Tamil Nadu, India
Published: December 2019

Amino acids are little bio-particles with different properties. The capacity to ascertain the physiochemical properties of proteins is pivotal in many research regions, for example, tranquilize plan, protein displaying and basic bioinformatics. The physiochemical properties of the protein decides its collaboration with different atoms and subsequently its capacity. Foreseeing the physiochemical properties of protein and translating its capacity is of extraordinary significance in the field of medication and life science. The point of this work is to create python based programming with graphical UI for anticipating the physiochemical and antigenic properties of protein. Thus the instrument was named as ASAP-Analysis of protein succession and antigenicity expectation. ASAP predicts the antigenicity of the protein succession from its amino corrosive arrangement, in light of Chou Fasman turns and antigenic file. ASAP computes different physiochemical properties that is required for invitro tests. ASAP utilizes standardization esteems that expansion the affectability of the apparatus.
Voice Pathology Identification using Deep Neural Networks
Authors:   Computer Science and Engineering, Kongu Engineering College, Perunduari, Erode, Tamil Nadu, India., Kanimozhiselvi* Dr.C.S. , Prasath Mr.M.Balaji ,   Computer Science and Engineering, Kongu Engineering College, Perunduari, Erode, Tamil Nadu, India., Sathiyawathi Miss.T. ,   Computer Science and Engineering, Kongu Engineering College, Perunduari, Erode, Tamil Nadu, India.
Published: December 2019

The human voice construction is a complex biological mechanism capable of Changing pitch and volume. Some Internal or External factors frequently damage the vocal cords and change quality of voice or do some alteration in the voice modulation. The effects are reflected in expression of speech and understanding of information said by the person. So it is important to examine problem at early stages of voice change and overcome from this problem. ML play a major role in identifying whether voice is pathological or normal in nature. Voice features are extracted by Implementing Mel-frequency Cepstral Coefficients (MFCC) method, and examined on the Convolutional Neural Network (CNN) to identify the category of voice
Second Language Acquisition through Task Based Language Teaching
Authors:   Assistant Professor, Department of English, Kongu Engineering College, Perundurai. Tamilnadu, India., Gomathi* Ms.R.D. , Radhakrishnan Dr.V. ,   Principal, K.S.Rangasamy Arts and Science College, Thiruchengodu.
Published: December 2019

The classroom environment plays a major part in learning. The atmosphere is more essential for a student. The Students have a different psychological stimulus when performing the activities inside the classroom. The classroom atmosphere helps the students in learning the foreign language.TBLT is being applied inside the language classroom. With the new method, the teachers try to correlate the contents and the task design of teaching closer to their profession, because student participants can find it out easy for communicating via different stages tocarryout the tasksin all aspects of capabilitiesin second language acquisition. This paper is focused from all perspectivesof Task Based Language Teaching particularly in terms of meaning and concept, certain issues of conventional language teaching andexplaining the real value of execution of Tasks in language classroom .
Composition of Feature Relevancy Based Biomarker Gene Selection in Gene Expression Dataset
Authors:   Department of Computer Applications, Kongu Engineering College, Erode, Tamilnadu, India., Pyingkodi* M. , Shanthi Dr. S. ,   Department of Computer Applications, Kongu Engineering College, Erode, Tamilnadu, India.
Published: December 2019

Cancer gene selection plays a prominent work in the area of Bioinformatics. Gene selection methods aim to retain relevant genes and remove redundant genes. This proposed technique deals on gene selection techniques based on information theory. By investigating the information theory based on composition of feature relevancy, we consider that a excellent gene technique method could boost novel classification of the cancer gene data while reducing gene redundancy. Therefore, a modified gene selection technique called Composition of Feature Relevancy (CFR) is carried out. To assess CFR, the experiments are carrying out on five real-world cancer gene expression data sets and three best classifiers (KNN, Support Vector Machine and Random forest). The modified gene selection technique gives best outcome when competing to other recent technique in terms of accuracy and sensitivity in classification.
A Block Chain Based Framework to Enhance Security against Cyber Attacks
Authors:   Dept of CSE, Kongu Engineering College, Erode, Tamil Nadu, India, Rajasekar* Vani , Premalatha J. ,   Dept of IT, Kongu Engineering College, Erode Tamil Nadu, India., Sathya K. ,   Dept of CT/UG, Kongu Engineering College, Erode, India, Tamil Nadu, India.
Published: December 2019

Block chain has drawn major attention recently in the area of cyber security. Till to date many detection techniques and protection mechanisms have been proposed to enhance the security. In this paper we have proposed an overview of distributed ledger framework, block chain to defense against the cyber attacks. We here present a comprehensive overview of block chain architecture and some major algorithms used in different block chains. The future trends of block chain technology in the applications such as IoT security, E-voting, Banking sector has also coined out in this paper.
Air Quality Index Prediction using Machine Learning Algorithms
Authors:   Assistant Professor (SLG) in the Department of Computer Applications, Kongu Engineering College, Tamil Nadu, India, Shanthi* Dr. S. , Pyingkodi M. ,   Assistant Professor in the Department of Computer Applications, Kongu Engineering College, Perundurai, Erode, Tamil Nadu, India
Published: December 2019

The global environment is presently facing a key issue of air pollution. The four air pollutants which are becoming a concerning intimidation to human health are respirble particulate matter, nitrogen oxide, particle matter, and sulfur dioxide. A vast amount of air quality data is collected in different monitoring stations throughout the world. The collected data can be analyzed to forecast the air quality index (AQI) of future. This paper proposes machine learning algorithms such as random forest, support vector machine, self adaptive resource allocation to predict the future AQI. Tamil Nadu Pollution Control Board (TNPCN) deployed air pollution monitoring station in five regions. Air pollutant of PM10, PM2.5, SO2 and NO2 are monitord and AQI is calculated.. The data collected from January 2019 to November 2019 by TNPCN and also AQI of previous five years were used This system attempts to predict the level of pollutant PM,SO2,NO2 in the air to detect the AQI.
Strategies in Acquiring of English in Circumventing the Language Learning Disability: A Product and Process of Acquiring Second Language
Authors:   Assistant Professor (Sr.G), Department of English, Kongu Engineering College, Perundurai – 638060, Tamilnadu, India, Chitra* G.
Published: December 2019

A substantialincrease in the quantity of Students taking up Englishas the Second Language is so obvious in developing countries like India. The need for effective measures to augment and reinforce the learning of English with respect to such students has become paramount importance. A small group ofsuch students wasselected and their efficiency in the learning process of English in a specified time was carried out on different paraphernalia towardsof such an exercise. Two methods wereadopted in the evaluation of the learning process.. One group of students was taught both in English and in their respective mother tongue. The other group of students was taught only in English and at no point their mother tongue was involved in the exercise. The First group of students was taught to read in their respective mother tongue and gradually movedto English and the enhancement in the cognitive proficiency was evaluated with reference to the reading exercises.Students who have had both the efficiencies in their mother tongue andEnglish wereinvolved as assisting forces. The Second group of students was taught only in English. The various paraphernalia considered for the study remained the same irrespective of the student group. Standard procedures of Specially Designed Academic Instruction in English (SDAI) were adopted in following the augmentation process of learning and ability in acquiring English. All the basic and essential modalities were included in the study. Students were encouraged to involve themselves so voluntarily and wholeheartedly and their participation was encouraged. The group of students who used theirmother tongue was found to be in an advantageous position and use of mother tongue proved to be a significant factor in assisting themin the learning process. The group of students taught only in English didn’t exhibit better understanding or perception of English than their counterparts. The shortcomings experienced in language perception in every aspectof the different paraphernalia taken up in the study, in respect of the group of students taught only in English could not be considered as lack of skill in the acquisition of English and the difficulties to cope with the learning process seems to be temporal and keeping up with efficiency of the other group is only transitional The findings of both of these approaches for students acquiring English are highlighted in the present paper.
Couple Stress Impacton S-Wavesin an Anisotropic Pre-Stressed Medium under Gravity and Magnetic Field
Authors:   Department of Mathematics, Nandha Arts and Science College,Erode, Tamil Nadu, India, Anitha* L. , Selvi S. ,   Department of Mathematics, Bannari Amman Institute of Technology,Sathyamangalam, Tamil Nadu, India
Published: December 2019

The gravity fieldand magnetic field impact with the inclusion of couple stress s r onshear waves in a transversely isotropic elastic solid medium is studied. Thedispersion equations for the particular problem have been obtained. Severalparticular cases are also examined. The numerical calculations are carriedout for specific rigidity parameter A, density parameter C, anisotropic factor N , initial stress parameter P , gravity parameter G, magnetic fieldparameter H , couple stress parameter  as well as wave number κ and theoutcomes are visually represented by graph.
Noise and Echo Aware Accurate Dysarthria Speech Recognition Model
Authors:   Research Scholar, Sri Ramakrishna College of Arts and Science for Women, Coimbatore, Tamil Nadu, India, M* Usha. , Sankar Dr .L. ,   Associate Professor, Department of Computer Science, Sri Ramakrishna College of Arts and Science for Women, Coimbatore, Tamil Nadu India
Published: December 2019

Dysarthria speech is the speech disorder which would be caused due to weakness of human muscles. The human with dysarthria disorder cannot speak normally whose speech will be very slow and congestive words which might be more difficult to understand. Thus it is required to create the environment where the speech of dysarthria disorder people can be recognized. This is done in our previous research work by introducing the method namely Hidden Markov Model based Speech Recognition (HMMSR). However this research work didn’t focus on accurate prediction and the echo noises presence in the speech signals. This would lead to inaccuracy in speech recognition. This is resolved by introducing the efficient dysarthria speech recognition framework namely Noise and Echo aware Dysarthria Speech Recognition Method (NE-DSRM). In this research work, Hybrid Least Mean Square-Adaptive Neuro Fuzzy Inference System (LMS-ANFIS) has been used for preprocessing. This method will remove both echo and noises present in the speech signals to ensure the accurate prediction outcome. And then speech recognition is performed by comparing the dysarthria speech with the phonological speech based on which relevancy would be identified. The accuracy of speech recognition can be improved by introducing the SVM based learning methodology which can classify the dysarthria speech based on which more relevant matching can be done. The objective of the system is, after being trained, to identify and classify limited-vocabulary sets of speaker-dependent. The overall assessment of the research work is done in the matlab simulation environment from which it is proved that the proposed method NE-DSRM tends to have better performance than the existing research works.
Hybrid Paddy: A Path Finder to Prosperity in Tribal Tract of Odisha
Authors:   Ph.D.Scholar, Amity University, Noida, UP, India, Dash* Sibotosh , Singhi Dr. Rushina ,   Guide of the Scholar, Assistant Professor, Amity University Noida, UP, India.
Published: December 2019

The introduction of hybrid paddy seeds into rice farming system of Odisha has attracted almost all paddy growers. Because of high production potentiality and more profit the tribal farmers have been cultivating hybrid paddy and area is increasing over the years. Both farmers and distributors are experiencing constraints. There is considerable gap in adoption of recommended practices of hybrid paddy seeds leading less profit which requires Govt support in terms of incentives and technical support. The problems of seed distributors are lack of storage facility, quick germination while in store and timely supply of seeds to the growers. These problems need well thought programming of hybrid paddy cultivation in the state particularly in tribal zone as the tribes cannot afford to bear loss.
Socio-Philosophical Interpretation of Missionary Activity
Authors:   Senior Lecturer at The Department of General Sciences at Tashkent State University of Law,Tashkent 100000, Uzbekistan, Khabiba* Oblomuradova
Published: December 2019

Today it is important to determine the missionary factor, the reasons for its occurrence and measures to combat it. This is because missionary work has been able to demonstrate its negative and dangerous consequences in different parts of the world. In this article, we will discuss the nature of missionary work, its causes, factors, and ways and means. In the fight against missionary activity, it is advisable to analyze the consequences not only today, but also tomorrow. After all, it is not only political and social, but also adaptable to socio-economic, psychological, legal, spiritual, educational, etc. Therefore, in recent years, a lot of serious, substantiated research papers, books and articles on missionary work and the fight against it have appeared in the world. However, many of them are more or less biased in missionary or related issues or in the context of socio-political problems due to the specialization of the authors of the missionary research. At the same time, the difficulties associated with the peculiarities of this phenomenon in the search for the nature of the missionary also cause concern. The article not only creates a diary of events, but also describes the history of the main missionary activity and attempts to explore the mission, goals, methods and means of missionary organizations. In the context of globalization, all components of missionary analysis are comprehensively analyzed. To this end, he sought to describe all the main stages of the missionary movement in close connection with important political events and in the changing social life of traditional societies in the regions of the world in order to identify the causes, key factors and strengths of their mission centers.
Main Trends of Doing Business in Uzbekistan
Authors:   Department of ", Xamid* Temirov ,   Corporate management",   of the Tashkent institute of textile and light industry, Tashkent, Uzbekistan., Mansur Mansurov ,   Department of "Corporate management" of the Tashkent institute of textile and light industry, Tashkent, Uzbekistan., Lola Azimova ,   Department of "Corporate management" of theTashkent institute of textile and light industry, Tashkent, Uzbekistan., Umida Urmanova ,   senior teacher of “Accounting, analysis and audit Department at the Tashkent State Agrarian University, Tashkent, Uzbekistan, Aziz Mukhamedaminov ,   Tashkent University of Information Technologies – Uzbekistan, Tashkent, Uzbekistan.
Published: December 2019

This article analyzes the possibilities and challenges of doing business in Uzbekistan through statistical indicators. While trends in business in Uzbekistan have been explored through the share of entrepreneurship in GDP, industry, employment, exports and imports, the World Bank's “Doing Business “rankings are also relevant. The Doing Business rating analyzes business conditions in the country through a number of indicators, such as business registration, construction permits, loans, tax and taxation, international trade, investor protection. This system of indicators not only provides conditions for entrepreneurship, but also determines the country's attractiveness for foreign investors. The main purpose of the research is to develop recommendations on how to address the challenges posed by the World Bank's Doing Business rating affecting the investment attractiveness of Uzbekistan.
Uzbek Weddings: Sociological and Cultural Aspects
Authors:   Doctor of Sociology, Professor, Department of Social Work, National University of Uzbekistan named after Mirzo Ulugbek, Leading Researcher, Center for the Study of Public Opinion ", Marifat* Ganieva ,   Ijtimoi Fikr", Nodira Latipova ,   PhD of Sociology, Associate Professor, Head of the Department of Social Work of the National University of Uzbekistan named after Mirzo Ulugbek, senior researcher at the Center for the Study of Public Opinion "Ijtimoi Fikr", Victoria Alekseeva ,   Doctor of Philosophy in Sociology (PhD), Associate Professor, Department of Social Work, National University of Uzbekistan named after Mirzo Ulugbek,, Abdulla Abdukhalilov ,   Doctor of Philosophy in Sociological Sciences (PhD), Associate Professor, Department of Social Work, National University of Uzbekistan named after Mirzo Ulugbek
Published: December 2019

This article discusses the theoretical and methodological foundations of the influence of national traditions on society. The role of ethnocultural values in the spiritual life of Uzbek society is shown. The authors examined weddings in terms of rituals, and applied the approach of E.Durkheim, A.R.Radcliffe-Brown, C.Levy-Strauss, and E.Lich. The wedding ceremony of the peoples of Central Asia is one of the most complex complexes of traditional household culture. It reflected the social and legal relations, family structure, beliefs, religion. The rite usually connected the features of the distant past, close past. New phenomena were introduced into it with great difficulty, even if the state and religion were interested in changing the rite. The basic structure of the wedding ceremony in Central Asia was the same and included the following stages: matchmaking - wedding - post-wedding ceremonies. The study revealed the main characteristics of ethnocultural values, consisting of traditions, customs, rites and rituals. According to the authors, the practice of holding weddings with Uzbeks indicates that the most common factor is the banal prejudice “so that everything is like people have. People try to have “if not better, then at least at the level of others”. The main characteristics of the concepts “wedding”, “celebration”, “ritual”, as well as traditions and customs of the Uzbek people during wedding events are analyzed. Preventive measures to reduce and change the approach of Uzbeks to weddings are considered.
Estimation of Influence of Innovative Development on Growth of Agriculture
Authors:   professor of “Accounting, analysis and audit department at the Tashkent State Agrarian University, Tashkent, Uzbekistan, Bakhtiyor* Menglikulov , Rustam Tashmatov ,   PhD, doctoral student (DcS) of the Research center "Scientific bases and problems economic development of Uzbekistan" of the Tashkent state University of Economics, Tashkent, Uzbekistan., Nazarbek Boltaev ,   assistant of “Agrologistics” Department at the Tashkent State Agrarian University, Tashkent, Uzbekistan., Ahmedov Azamat ,   PhD, Chair of Department 'Accounting and audit' of the Tashkent Institute of Irrigation and Agricultural Mechanization Engineers, Tashkent, Uzbekistan, Nilufar Dekhkanova ,   senior teacher of “Agrobusiness and investment activity” department of Tashkent State Agrarian University, Tashkent, Uzbekistan.
Published: December 2019

This article substantiates the scientific and practical importance of innovation, offers analysis of research regarding the impact of innovation on economic growth, assesses current state of innovation in agriculture of our Republic along with econometric methods to evaluate impact of innovation on economic growth in agriculture.
Improvement of Sowing Units to Strengthen the Feeding of Aridic Livestock Breeding
Authors:   Ph.D in Technical Sciences, currently works in the Department Operation and Repair of machines Tashkent Institute of Irrigation and Agricultural Mechanization Engineers, Republic of Uzbekistan (TIIAME), 100000, Tashkent, Farmonov* Erkin , Sadirov Amir ,   Ph.D in Technical Sciences, Assistant Professor, Scientific and Research Institute of Agricultural Mechanization, Republic of Uzbekistan (TIIAME),, 100000,Tashkent, Berdimuratov Parakhat ,   Ph.D in Technical Sciences, works at the department operation and repair of machines, Assistant Professor Tashkent Institute of Irrigation and Agricultural Mechanization Engineers Republic of Uzbekistan, Tulaganov Bakhtiyor ,   Assistant, Tashkent Institute of Irrigation and Agricultural Mechanization Engineers, Republic of Uzbekistan, Mirnigmatov Botir ,   Assistant, Tashkent Institute of Irrigation and Agricultural Mechanization Engineers Republic of Uzbekistan
Published: December 2019

This article provides information on arid and semi-arid pasture fields. They are the main feeding for grassland farming. Pastures' yield capacity needs to be maintained through improvement. The Heavy workload requires mechanization of the improvement process. Here you can see the specifications for combined sowing units to improve the arid pastures.
Personality-Oriented Learning Technologies
Authors:   Associate Professor of Modern ICT Department at the International Islamic Academy of Uzbekistan, Tashkent, Uzbekistan, Mavlyuda* Xodjayeva , Rustam Kabulov ,   Associate Professor of Modern ICT Department at the International Islamic Academy of Uzbekistan, Tashkent, Uzbekistan, Rano Djuraeva ,   Senior Lecturer of Modern ICT Department at the International Islamic Academy of Uzbekistan, Tashkent, Uzbekistan, Dadamuhamedov Alimjon ,   Senior teacher of Modern ICT Department at the International Islamic Academy of Uzbekistan, Tashkent, Uzbekistan, Alisher Mukhammadiev ,   teacher of Modern ICT Department at the International Islamic Academy of Uzbekistan, Tashkent, Uzbekistan
Published: December 2019

The content of a person-oriented education, its means and methods are structured in such a way that they allow the student to show selectivity for the subject material, its type and form, for this purpose individual training programs are developed that model research thinking. Education at the personal level is a semantic subjective perception of reality, and therefore no objective activity guarantees the formation of the required meaning. A person always acts as an actor, an accomplice, and sometimes the initiator of any process of his education. It should be noted the relevance of this topic, since personality-oriented teaching is used in the teaching practice of our time quite often. And any teacher needs to know the basics of personality-oriented developmental learning. The development of the student as a person (his socialization) goes not only through mastering normative activities, but also through constant enrichment, the transformation of subjective experience, as an important source of his own development.
Legal Regulation of Efficient use of Industrial Zones: the Experience of Uzbekistan
Authors:   Head of the Department of Ecology and Agricultural Law, The candidate of jurisprudence, associate professor in Tashkent State University of Law, Tashkent, Uzbekistan., Guzal* Uzakova , Sitora Negmatova ,   Teacher of the Department of Ecology and Agricultural Law Tashkent State University of Law. Tashkent, Uzbekistan.
Published: December 2019

The survey provides an overview of the legal status of industrial land. Also, proposals and recommendations have been developed to improve the legal regime for the use of industrial zones in the Republic of Uzbekistan.
Locomotive Diesel Engine Excess Air Ratio Control Device
Authors:   Ph.D., Associate Professor, The Tashkent institute of engineers of a railway transportation, 100167, Uzbekistan, Tashkent, Odilhodjaev, Valiev* Mukhammad , Kosimov Khusan ,   senior lecturer, The Tashkent institute of engineers of a railway transportation, 100167, Uzbekistan, Tashkent, Odilhodjaev
Published: December 2019

The wide-band exhaust gases oxygen content sensor can be used for continuous monitoring of the air excess coefficient in the locomotive diesel engine cylinders. This type sensors are widely used in automotive diesel engines control systems. It means for indirect estimation of the engine cylinders mixture quality by the exhaust gases oxygen content
Urban E–Inclusion:An Empirical Research
Authors:   Research Scholar [Anna University] / Assistant Professor, MBA Department, Panimalar Engineering College, Chennai, Tamilnadu, India, Durairaj* Mr. I. Yabesh Abraham , Lakshmi Mrs. B. ,   Research Scholar [Anna University] / Assistant Professor, MBA Department, Panimalar Engineering College, Chennai, Tamilnadu, India., Chitra Dr.D. ,   Professor, MBA Department, Panimalar Engineering College, Chennai, Tamilnadu, India.
Published: December 2019

In the contemporary picture there is conjoint consensus amongst all the policy makers from across the sphere that devoid of ICT and digital inclusion; the growth of an individual is stalled. Specially in developing economy like India, where poverty eradication and employment generation are foremost objectives; digital inclusion is a must. Considering factors like lack of infrastructure, primary education and availability affordable technologies and others, the strategic intervention and collaborative efforts by government and non-government organizations is indispensable. The diffusion of new Information and Communication Technologies (ICTs) like computers and Internet provides great opportunities for the well-being of people in developing countries. Does this covenant hold on for defamed socioeconomic groupings? In examining the differences in gender we have used the notion of E-inclusion- estimated by different attributes such as skills, user access to digital devices. In exploring the factors for digital inclusion we found tertiary education and the ability to use ICTs significant. The study follows Descriptive research design. The sample consisted of people located in Chennai city. The researcher adopted structured questionnaire to collect the responses from the respondents. The main objective of the study was to understand and analyze the access to digital devices and skills required. Suitable hypotheses were framed and tested to support the study findings. The responses were analyzed using both expository statistics and inferential statistics. The outcomes additionally guide the dispute that the argument of digital inclusion needs to be examined in terms of the exclusive information needs of several socioeconomic groupings and in unique social contexts. Though the challenges that are hindering the effective digital inclusion of individuals and organizations will continue to change and accordingly government should work in the direction of building resilient, better partnerships, operating collected, to support people and organizations benefit from the internet and ICT.