bluuebunny/crossref_metadata_2025 huggingface dataset:
Inferno Combative Robot with Blue Collar
Authors:   Assistant professor, Department of Electronics and Instrumentation, Sri Sairam Engineering College, Chennai, Tamilnadu, India., Rani* N. Nithya
Published: December 2019

In this article, the reader will learn about the' Safety& Ergonomics' framework. Human negligence is still one of the most common causes of ecological disasters and catastrophes. The context is that the monitoring systems only reflect on the condition of processes in which a human connection to the overall functioning of the system is left unattended. As the fields of robotics and automation are more advanced, a human control operator becomes a passive machine observer, leading to exhaustion and lack of attention. It is necessary but hazardous to take up the fight against flames. A firefighter must be able to extinguish the fire quickly and safely to prevent further damage and minimize death. Engineering has finally connected the opening between firefighting and equipment to make the firefighting process more effective and useful. Robots are built to cross the fire area, so that they can operate one day with fire-fighters, minimizing dramatically the risk of damage to victims and protecting rescue workers, before they rage out of the way. This project involves the design of a fire-fixing robot. This paper deals with the software interface, the interface between the device and various parts of the technology.
English as a Headliner in the Course of Engineering and its Impact on the Career
Authors:   AP Department of English, PSNA College of Engineering and Technology, Dindigul-624 622, Tamil Nadu, India, Subashin* Mrs. M.K. , Kalpana Mrs. P. Elizabeth ,   AP Department of English, PSNA College of Engineering and Technology, Dindigul-624 622, Tamil Nadu, India, Devi Dr. V. Chithra ,   AP & Head in- charge, Department of English PSNA College of Engineering and Technology, Dindigul-624 622 Tamil Nadu, India., Prasanna Mr. N.M. Sri ,   AP Department of English, PSNA College of Engineering and Technology, Dindigul-624 622, Tamil Nadu, India
Published: December 2019

Learning a language and acquiring mastery over the language is important to have progression in the competitive field of profession. English language paves the way to have a strong foothold in one’s profession. It is not just a language of communication but it is the lingua franca across the globe. It is the core component in the field of education, technology, employment, intellectuality and career. Proficiency in English helps engineers land on some of the best paid jobs in the country. The focus of this paper is to scale the present milieu of the technical world, role and importance of communication in it, and the need for an engineer to sustain his talent as well as succor the world with technical skills and communication skills.
Design and Implementation of Home Automation of Embedded System Design with Internet of Things (IoT)
Authors:   UG(B.Tech) Scholar, Department Of Electronics And Communication Engineering. Marri Laxman Reddy Institute Of Technology And Management Dundigal, Hyderabad, Telangana State, India, Aravind.* Adepu , Sharma M Risheek ,   UG(B.Tech) Scholar, Department Of Electronics And Communication Engineering. Marri Laxman Reddy Institute Of Technology And Management Dundigal, Hyderabad, Telangana State, India, Kumar Dr. K. Naveen ,   Associate Professor, Department Of Electronics And Communication Engineering. Marri Laxman Reddy Institute Of Technology And Management Dundigal, Hyderabad, Telangana, Bachu Dr. Srinivas ,   Associate Professor, Department Of Electronics And Communication Engineering. Marri Laxman Reddy Institute Of Technology And Management Dundigal, Hyderabad, Telangana State, India
Published: December 2019

With the advancement of Automation innovation, life is getting less complex and simpler in all perspectives. In this day and age Programmed frameworks are being favoured over a manual framework. The fast increment in the number of clients of the web over the previous decade has made the Internet a vital part of life, and IoT is the most recent and rising web innovation. Web of things is a developing system of a regular article from mechanical machine to purchase products that can share data and complete assignments while you are occupied with other exercises. Remote Home Automation tool (WHAS) utilizing IoT is a framework that utilizations PCs or mobile telephones to manipulate vital home capacities and highlights without a doubt through the net from anywhere around the world, a robotized home is every so often referred to as a sensible domestic In this paper we gift a Home Automation System (HAS) making use of Intel Galileo that employs the coordination of cloud organizing, a long way off correspondence, to provide the patron far off manage of diverse lighting fixtures, lovers, and apparatuses interior their home what is more, placing away the statistics in the cloud. The device will routinely alternate based on sensor data.
Automatic Generation Control of a Two Area Thermal-Thermal Deregulated Power System with HES and TCPS units for Unscheduled Interchange Price Signals
Authors:   Lecturer, Department of EEE, Government Polytechnic College, Perundurai, Erode, Tamil Nadu, India., Ponnkodi* M. , Chuidambaram I.A. ,   Professor, Department of EEE, Annamalai University, Tamil nadu, India.
Published: December 2019

Automatic Generation Control (AGC) plot for two area inter-connected thermal to thermal Deregulated Power System (DPS) utilizing Unscheduled Interchange (UI) price signal, which has an effect on the power markets is proposed in the paper. Unscheduled Interchange price is one of the most important parts of Availability Based Tariff (ABT) which goes about as an optional control system for regulating the grid frequency. These UI price signals vacillate according to change in grid frequencies which can be open by the participants (generator or load) associated with the grid. The customary AGC system, however, attempts to carry the error of frequency to 0, yet it will be an ineffectual answer for taking an interest producing penalty deviations with frequency. This plan additionally gives the system operator adaptability to plan the generation in an ideal way. In this examination, the execution of a Proportional Integral (PI) controller is proposed because beneficial AGC of 2 area thermal and thermal deregulated system works under the impacts of bi-lateral contracts over the dynamics. The tuning of PI controller parameters is illuminated by utilizing a Moth-Flame Optimization (MFO) algorithm. Further to improve the AGC performance, the Hydrogen Energy Storage (HES) units is incorporated into its control area which can adequately moist the electromechanical motions in a power system, as they give guarantee from the storage limit notwithstanding the generator rotors dynamic energy which can share abrupt deviations in power requirement. The Thyristor Controlled Phase Shifter is proposed in arrangement with tie line between any inter-connected areas that may be applied to balance out frequency motions of the area by fast control of power in tie line over the interconnections. Execution of HES-TCPS units' blend captures the underlying frequency fall just as the power deviations in tie line for an abrupt load unsettling influence and the outcomes show that the charges of UI are extensively limited while keeping up at normal frequency worth. Furthermore, proposed strategy yields an eminent decrease in the control input deviation yet, in addition, guarantees superior soundness for the unscheduled interchange price signals therefore, the market participants can get benefit accordingly.
GLEncObfus-Encryption and Obfuscation Technique to Enhance Data Protection in Public Cloud Storage
Authors:   Bursar & Director (MCA), Associate Professor of Computer Science, Jamal Mohamed College (Autonomous), Tiruchirappalli – 620 020, Affiliated to Bharathidasan University, Tamil Nadu, India., Amalarethinam* Dr. D. I. George , George Lalu P. ,   Research Scholar, Department of Computer Science Jamal Mohamed College (Autonomous), Affiliated to Bharathidasan University, Tiruchirapalli-620 020, INDIA, Chandran Dr.Anjana S. ,   Assistant Professor, SCMS School of Technology and Management, Cochin-683501, India
Published: December 2019

There is a rapid increase in data volume all over the world. In the computer network world also, imminent changes are happening. Under any circumstance, data can be vulnerable from one’s own side or by a service provider or on data movement. In that case we need to secure our data. In this paper, the improved methods of protection against data leakage has been discussed. Public cloud data theft can happen through intruders or hackers or service providers. The data securing algorithm are used prior to storing the data in the server. Any data entering the cloud area is segregated into numerical and non-numerical parts, where non-numeric is operated by one algorithm and obfuscation method is applied on the numeric part. These two operations are done simultaneously with different threads. This both works come together and developed an entirely different algorithm. Hence the proposed algorithm maximizes the security and reduces the service cost. The proposed method is implemented as a cloud application and hosted on a cloud platform as a service and tested by subsisting present methods with respect to time and security levels. From the results, it is observed that the proposed method GLEncObfus is more efficient than present methods with reference to encryption-obfuscation time, decryption-de-obfuscation time and security level.
Real Time Service Level Access Restriction using Dynamic OTUP Generation for Improved Security in Cloud
Authors:   Research Scholar, Department of Computer Science, Jamal Mohamed College (Autonomous) (Affiliated to Bharathidasan University), Tiruchirappalli, Tamilnadu, India., Ubada* J.Mohammed , Surputheen Dr. M. Mohamed ,   Associate Professor, Department of Computer Science, Jamal Mohamed College (Autonomous) (Affiliated to Bharathidasan University), Tiruchirappalli, Tamilnadu, India.
Published: December 2019

The cloud environment has been identified as the keen platform being used by different cloud users and organizations. The data security has been approached with several techniques like password, attribute based approaches and so on. However, they suffer to achieve higher security performance. To improve the performance, an efficient real time service level access restriction scheme which uses dynamic OTUP (One Time User Password) generation scheme. The method maintains different user information which includes the password details of users. Further, the method collects the one time user password initially. With this, the method restricts the user’s service access by generating OTUP in a dynamic way according to different services. The user has been restricted according to the service and OTUP generation methods. According to this, the method estimates service level trust weight (SLTW) to restrict the user. The methods introduce higher security performance and reduces false ratio.
Optimized K Nearest Neighbor Classification Algorithm for Weather Prediction
Authors:   Research Scholar, Department of Computer Science, Jamal Mohamed College(Autonomous), Tiruchirapalli, Affiliated to Bharathidasan University, Tiruchirappalli, Tamilnadu, India., Ahmed* A Zakiuddin , Razak Dr.T.Abdul ,   Associate Professor, Dept. of Computer Science, Jamal Mohamed College(Autonomous), Tiruchirappalli, Affiliated to Bharathidasan University, Tiruchirappalli, Tamilnadu, India.
Published: December 2019

Weather has a lot of blow in our daily life and also gained researchers concentration due to its enormous effect in the human life. To defend ourselves from weather, we need to predict the weather such as rainfall, humidity and temperature etc. Using classification algorithms, we can predict the weather by using the past datasets. In this research paper, WEKA tool is used to implement classification algorithms for weather forecasting. Machine Learning is an internal part of artificial intelligence, which is used to design algorithms based on the relationships between data and data trends.
Kerberos Authorization with Hybrid Access Control Model in Public Cloud
Authors:   Research Scholar, Bharathidasan University, Engineering and Applications, School of Computer Science, Tiruchirappalli, Tamilnadu, India, Kumar J* Ashok , Ganapathy Dr. Gopinath ,   Registrar, Bharathidasan University, Tiruchirappalli, Tamilnadu, India.
Published: December 2019

Access control and Data confidentiality are key technology to ensure the security of system and to protect the privacy of the users. The modified Collaborative Trust Enhanced Security (CTES) model has an inbuilt access control mechanism for Kerberos protocol itself to enforce the access control policy directly into the Client system node. This paper explains the hybrid access control model with Role Based Access Control (RBAC) and Attribute Based Access Control (ABAC) for modified CTES framework through Kerberos protocol. Hence, it retains the concept of “role”, “group” and “attributes” for the user which are necessary to protect data privacy in the system. Data confidentiality for the stored data in Cloud is achieved by cryptographic techniques. Gnu Privacy Guard (GnuPG) based certificate is capable enough to verify the identity of the correspondent in information exchange as well as the information integrity. It is a strongest authentication technique where the user is asked to provide his/her digital ID for validation in the Server and enables Single sign-on services for Kerberos Authorization in modified CTES model. In this paper, it is proposed for a new Kerberos Authorization with Hybrid Access Control Model (KAHAC) for single-domain systems and multi-domain systems in Public Cloud based on roles, attributes, groups, access modes and the type of resources.
Anisotropic Sophisticated Spatio-Temporal Contours Based Deep Neural Learned Moving Objects Detection in Video
Authors:   Assistant Professor, PG and Research Department of Computer Science, Jamal Mohamed College (Autonomous), [Affiliated to Bharathidasan University], Tiruchirappalli, TN, India., Kader* K.N. Abdul , Nihal  ,   Assistant Professor, PG and Research Department of Computer Science, Jamal Mohamed College (Autonomous), [Affiliated to Bharathidasan University], Tiruchirappalli, TN, India.
Published: December 2019

Object detection in the video sequence is a significant problem to be resolved in image processing because it used different applications in video compression, video surveillance, robot technology, etc. Few research works have been designed in conventional works to discover moving objects using various machine learning techniques. However, dynamic changing background, object size variations and degradation of video frames during the object detection process remained an open issue. In order to overcome such limitations, Anisotropic Sophisticated Spatiotemporal Contours based Deep Neural Network Learning (ASSC-DNNL) practice is projected. ASSC-DNL Technique initially obtains a number of video file as input at the input layer. After acquiring the video, input layer forward it to hidden layers. Subsequently, ASSC-DNL Technique accomplishes the encoding process in the first hidden layer using Anisotropic Stacked Autoencoder (ASA). During the encoding process, ASSC-DNL practice maps each video frames pixels in input video via code. This practice results in compressed video with enhanced quality. Afterward, ASSC-DNL practice transforms compressed video into a numeral of frames in the second concealed layer. Followed by, ASSC-DNL practice carried out Teknomo–Fernandez Spatiotemporal Based Background Subtraction (TS-BS) process at the third hidden layer, in which it effectively segments the foreground images from dynamic changing background. Then, ASSC-DNL practice deep analyzes the foreground image of video frames and mines some features like shape, color, texture, intensity, and size. Finally, ASSC-DNL Technique exactly finds the moving objects in video frames according to identified features with minimal time at the output layer. Therefore, ASSC-DNL Technique obtains enhanced moving objects detection performance when compared to existing works. The simulation of ASSC-DNL practice is conducted via different metrics such as accuracy, time and false positive rate towards in detection.
Fire-fly based MKFCM Segmentation and Hybrid Feature Extraction for Lung Cancer Detection
Authors:   Research Scholar, Department of Computer Science, Jamal Mohamed College (Autonomous), [Affiliated to Bharathidasan University], Tiruchirappalli, Tamilnadu, India., Basha* B. Mohamed Faize , Surputheen Dr. M. Mohamed ,   Associate Professor, Department of Computer Science, Jamal Mohamed College (Autonomous), [Affiliated to Bharathidasan University], Tiruchirappalli, Tamilnadu, India
Published: December 2019

The most serious and broad infections considered lung disease that sets up a principal general wellbeing risky and has a high demise level. In this worry, appropriate division of lung tumor from X-beam, CT output or, MRI is the moving stone to accomplishing totally electronic analysis framework for lung disease location. With the advancement of innovation and attainable quality of information, the regarded time of a radiologist can be secured by methods for PC apparatuses for tumor division. This paper, to improve the Lung cancer segmentation and classification a new model is introduce. To overawed the existing segmentation limitations in this proposed system for lung nodes detectionModified kernel-based Fuzzy c-means clustering (MKFCM) technique is used. The proposed method segmentation includes two modules, the fire-fly clustering module and the MKFCM clustering module. For feature Extraction feature of this paper a (Gray-Level Co-Occurrence Matrix), Local binary patterns (LBP) and Histogram of oriented gradients (HOG) based hybrid system is used. To select the best feature fire fly base Feature Selection (FS) technique is used. For proposed Lung cancer classification long short-term memory (LSTM) classifier is used. The proposed system is also named as FF-MKFCM-FF-FS-LSTM system. Finally the performances are evaluated. From that analysis the proposed module provide 96.55% of segmentation accuracy and the proposed classification provides 98.95% of classification accuracy.
Behavioral Pattern Based Psychotic Analysis for Improved Student Performance using Fuzzy Set
Authors:   Research Scholar, Department of Computer Science, Jamal Mohamed College (Autonomous) (Affiliated to Bharathidasan University), Tiruchirappalli, Tamilnadu, India., Peerbasha* S. , Surputheen Dr. M. Mohamed ,   Associate Professor, Department of Computer Science, Jamal Mohamed College (Autonomous) (Affiliated to Bharathidasan University), Tiruchirappalli, Tamilnadu, India
Published: December 2019

The problem of bipolar disorder has been well studied and analyzed. To perform the detection of presence of BD, there are number of approaches available and the result of detection has been used in several ways. In order to improve the performance in BD detection and utilize the result in gauging the performance of students, a behavioral pattern base psychotic analysis model has been presented in this paper. The method maintains the behaviors, habits and interests of different students in different period of time. The student behaviors includes mood change, depression, sudden laughs, uninterested, short temper, lack of concentration, adamant, frustration, energy, sleep and so on. Such behaviors has been tracked for number of students for prolong period and stored in the behavior set. By reading the behavior set and with the identified samples of BD, the method generates set of behavioral patterns. The behavioral pattern has been generated for three different classes like lower, medium and high. For each class of behavioral pattern, the method generates set of fuzzy rules. Using the fuzzy rule, each student has been analyzed for their behavioral pattern in different time window. Based on the patterns, the method estimates BDCW (Bipolar Disorder Class Weight). Based on the weight measure, the presence of BD has been identified and classified under different class. Identified results have been used to generate academic pattern and helps to generate analysis result to improve the student performance. The proposed approach improve the performance of student development, monitoring and health development.
Perception of Accounting Professionals in the Convergence and Implementation of a Single Set of Global Accounting Standards in India
Authors:   Research Scholar, Dr. APJ Abdul Kalam Technical University, Lucknow, U.P., India, Sharma* Madhu Bala , Gupta Dr. Prateek ,   Associate Professor, KIET School of Management, Ghaziabad, U.P., India.
Published: December 2019

Purpose – The purpose of this paper is to explore the various implementation issues on the Ind AS converged with IFRS in India and measures to address the issues. Design/Methodology/approach – A detailed published literature reviewed in this context and found the scope of the research. A structured questionnaire on 5 points Likert-Scale has been used for the survey. Survey conducted on accounting professionals belongs to Delhi-NCR, India. Findings – The empirical research find the various areas of challenges faced by entities in converged IFRS implementation and suitable means for effective implementation of converged IFRS in India. Originality/value – One of the contributions to this study is to examine perceptions of Indian Accounting Professionals towards convergence and implementation of a single set of global accounting standards in India. As a result of globalization, many Indian companies initiated their business in other countries and some Multi-national companies also operated in India. Different countries having their own set of accounting standards that must be followed when incorporating financial statements hence, it creates a dual set of financial reports of entities. It is complex for the business houses and all the stakeholders to prepare, understand, Interpret and compare the end result of entities so it originates the need of uniform accounting standard which will be applied in all the countries hence International Accounting standard Board took the responsibility and after considering various signifying points issued IFRS for global benefit. Many developed and developing countries adopted IFRS. Indian accounting professionals also felt the need of adopting IFRS so the Institute of Chartered Accountants of India took initiative in this direction and issued a roadmap in this direction but due to some issues, it was not implemented properly. MCA announced a roadmap for Ind AS converged with the IFRS implantation in 2015.
Recognizability of Tetrahedral Picture Languages
Authors:   Department of Mathematics, St. Joseph’s College of Engineering, Chennai, Tamilnadu, India., Sweety* F. , Kalyani T. ,   Department of Mathematics, St. Joseph’s Institute of Technology, Chennai, Tamilnadu, , India., Maragatham R. Stella ,   Department of Mathematics, Queen Mary’s College, Chennai, Tamilnadu, India., Thomas D.Gnanaraj ,   Department of Science and Humanities (Mathematics Division) Saveetha School of Engineering, SIMATS, Chennai, Tamilnadu, India.
Published: December 2019

In two dimensions, tiling the plane plays a vital role. Many picture generative models were attempted to tile the three dimensional space. A. Dharani et al. [6] introduced a new theoretical picture generative model to tile a three dimensional space using tetrahedral tile in two different ways namely Sequential Space Filling Grammar (SSFG) and Parallel Space Filling Grammar (PSFG). Local and recognizable tetrahedral picture languages are introduced in this paper and some of its properties are studied.
Predicting the Presence of Poly Cystic Ovarian Syndrome using Classification Techniques
Authors:   Department of Computer Technology - UG, Kongu Engineering College, Perunduai, Tamil Nadu, India., Bindha* P.Gokila , Rajalaxmi R.R. ,   Department of Computer Science and Engineering, Kongu Engineering College, Perunduai, Tamil Nadu, India., Poorani S. ,   Department of Computer Technology - UG, Kongu Engineering College, Perunduai, Tamil Nadu, India.
Published: December 2019

PCOS is an endocrine disorder which occurs due to hormone imbalance. PCOS may leads to infertility, diabetes mellitus and cardiovascular diseases. It may be identified by physical appearance, ultrasound scanning and clinical trials. The PCOS ovary can be identified as the follicles which are arranged peripherally and measuring 2-9mm of size. The dataset used in this paper consists of 119 samples with 17 features which represents the physical appearance and psychological characteristics such as stress, exercising methods, eating habits, etc. The classification algorithms can be applied on these data to predict the present of PCOS. The aim of the paper is to compare the accuracy of the classification model and find the algorithm which best suites for the dataset in predicting the occurrence of PCOS
Machine Learning based Autism Grading for Clinical Decision Making
Authors:   Computer Science and Engineering, Kongu Engineering College, Perunduari, Erode, Tamil Nadu, India., Kanimozhiselvi* Dr.C.S. , Jayaprakash Mr.D. ,   Computer Science and Engineering, Kongu Engineering College, Perunduari, Erode, Tamil Nadu, India.
Published: December 2019

Autism spectrum disorder is a pervasive developmental disorder that affects the behavioral and communication function of the children. It shows poor performance in communication, social and cognitive abilities, which are generally characterized by developmental delays and abnormal activities in their regular work. Early intervention can reduce the autism spectrum disorders. Machine learning techniques are used to detect autistic features in childhood. The prediction models are implemented as classification problem in which model is constructed by using real-time autism dataset. The proposed work is use Backpropagation and learning vector quantization with different distance measures like Euclidean Distance, Manhattan Distance, and City Block Distance to predict whether a child has autism spectrum disorder and also defines the grade of the autism. So that it can be supported for the clinical decision making. It enables automated clinical autism spectrum disorder diagnostic process using machine learning models.
An Aggregate Model for Prognosticate Diabetic Disease using Dissimilar Feature Selections with Upright Classification Techniques
Authors:   Research Scholar & Assistant Professor, Vellalar College for Women (Autonomous), Erode–638012, Tamilnadu, India., Anitha* P. , Tamilselvi Dr.P.R. ,   Assistant Professor, Govt Arts and Science College, Komarapalayam – 638183, Tamilnadu, India.
Published: December 2019

Our aims are to find the accuracy of classification with the normalisation in different types and the features in the techniques of selection on Diabetic Mellitus and the Pima Indian Diabetic dataset. Data Mining is the process of extraction. It extracts the previous unknown, valid and important information from the large amount of the data bases and can make the crucial decisions using the information. The classification methods are K-Nearest Neighbour and J48 decision tree can be applied to the data set of original and as well as the dataset with the pre-processed dataset. All the process of pre-processing can be applied to Pima Indian Diabetic Dataset to analyse the classification performance in terms of accuracy rate. The performance metrics is used to identify the accuracy classification is Recall, F-measure, Sensitivity and specificity, Precision, and Accuracy. The simulation is done by R tool.
Epilepsy Seizure Detection and Prediction Based on DeviceHive
Authors:   Assistant Professor, Department of Computer Applications, Kongu Engineering College, Tamilnadu, India, Nanthini* K. , Kavitha T. ,   Assistant Professor, Department of Computer Applications, Kongu Engineering College, Tamilnadu, India., Sivabalaselvamani Dr. D. ,   Assistant Professor, Department of Computer Applications, Kongu Engineering College, Tamilnadu, India., Pyingkodi M. ,   Assistant Professor, Department of Computer Applications, Kongu Engineering College, Tamilnadu, India., Kumar Gourav ,   PG Student, Department of Computer Applications, Kongu Engineering College, Tamilnadu, India.
Published: December 2019

Unpredictable nature of epilepsy, patients only has more need of awareness about precautions and how to handle the occurrence. Epilepsy belongs to have a recurrent seizures tendency throughout the life. Seizure may happen due to number of reasons like tumor, head injury, pregnancy time, genetic etc. It can be curable with proper diagnosis, incurable but controllable with lifelong medication and remaining are uncontrollable that leads to death. Recording of alert symptoms like auras, prodromes and precipitant factors are helped to self-alert the patient, create positive impact on quality of life and increase the efficacy of treatments. The need of enhancing early seizure detection and developing wearable monitoring product with low cost is used to create fear free environment among the affected people. In this connection, my proposed work reviewed on existing and currently available IOT based seizure detection and alert systems feasibility.
Efficient Aspect Finding in Sentiment Analysis using Optimal Binary Search Tree
Authors:   Assistant Professor(s), Department of Computer Applications, Kongu Engineering College, Perundurai, Tamilnadu, India., Chitra Mrs. K. , Tamilarasi Dr. A. ,   Professor and Head, Department of Computer Applications, Kongu Engineering College, Perundurai, Tamilnadu, India., Kavitha Mrs. T. ,   Assistant Professor(s), Department of Computer Applications, Kongu Engineering College, Perundurai, Tamilnadu, India., Hemalatha Mrs. S. ,   Assistant Professor(s), Department of Computer Applications, Kongu Engineering College, Perundurai, Tamilnadu, India.
Published: December 2019

Sentiment Analysis is an interesting research area. It useful for analyze the user comments with the help of natural language processing. While consider a huge data and improper data, the sentiment classification with better accuracy is a very big challenge in sentiment analysis. The social media records relevant to Sentiment analysis is a difficult one to identify with a people’s situation, thoughts, and view in the direction of a certain event, which has a number of applications such as election guess and product assessment. This paper focuses on the basic idea of optimal binary search Tree Technique to find the optimal solution (aspect) from a sentence among the several aspects; specifically, we perform the classification process appropriate to various features, which is used to identify the best one aspect among the several aspect terms in a sentence. In the proposed system, We have introduced optimal binary search Tree aspect level sentiment analysis technique. Through this we are getting best and efficient aspect level solution compare to General Tree. The main novelty of the paper is analyzing how aspect sentiment extracted from each word in a sentence through Dictionary based approach with help of the syntactic Patterns. It provides a well understanding of the appropriate role of every words to obtain optimal Aspect in an efficiency way.
Non-dominated Sorting Genetic Algorithm-II for Throwbox Deployment in Delay Tolerant Networks
Authors:   Department of Information Technology, Kongu Engineering College, Erode, Tamilnadu, India., Poongodi* Dr.C. , Lalitha Dr.K. ,   Department of Information Technology, Kongu Engineering College, Erode, Tamilnadu, India., Jeevanantham Mr.A. ,   Department of Information Technology, Kongu Engineering College, Erode,Tamilnadu, India., Anand Mr.D.Vijay ,   Department of Information Technology, Kongu Engineering College, Erode, Tamilnadu, India.
Published: December 2019

Delay-tolerant networks (DTNs) are basically opportunistic networks and uses store-carry-and-forward switching for message forwarding. Performance of DTNs can be improved by placing stationary nodes, called throwboxes which increases the contact opportunities among nodes. Throwbox is viewed as relaying node and the message delivery is enhanced by spreading as many messages as possible. Increasing the contact opportunities in throwbox based DTN model depends on the deployment of throwboxes in suitable places. The objective of this paper is to identify optimal deployment locations of the throwboxes with a pre-specified transmission range, and to maximize the coverage of all the throwboxes in order to increase average delivery and to reduce the average delay among all the nodes in the network. We use Non-Dominated Sorting Genetic Algorithm–II for optimizing the deployment of throwboxes in DTN. The simulation results are analyzed for better strategy in deploying throwboxes and to improve the performance of throwbox-augmented DTNs.
A Hyper Meta-Heuristic Cascaded Support Vector Machines for Big Data Cyber-Security
Authors:   Assistant Professor of Computer Science,Gobi Arts & Science College, Gobichettipalayam, Tamil Nadu, India., Mylavathi* Mrs.G.A. , Srinivasan Dr.B. ,   Associate Professor of Computer Science, Gobi Arts & Science College, Gobichettipalayam, Tamil Nadu, India.
Published: December 2019

At an incredible speed, cyber security evolves in the ever-changing setting of attacks. Organisation processing of information inward and outward is huge in quantity and determining a threat amidst of information is challengeable. Late discovery of such instance is standstill challenge of the meticulous process. Thence, detection of intrusion and its prevention are rising challenge in Big data factors. the information inundation generally incorporate the Big data terms to dataset. The majorly focused issues are industrial oriented in big data challenge. Existing systems for big data cyber security problems are based on Online Support Vector Machines (OSVMs) framework. Bi-objective optimisation problem with primary objectives is designed as OSVMs configuration process for improving accuracy and less complexity of model. Here, a bi-objective optimization is implemented based on an Artificial Bee Colony (ABC). However, Online Support Vector Machines (OSVMs) has issue with computational complexity, and prematurity and local optimum is major problems in ABC algorithm. By overcoming this issue, developed research system designs an Ensemble Support Vector Machine (ESVM) framework for big data cyber security. Initially, the feature selection is done by using improved K-means clustering. Based on the selected features the intrusion detection and malware detection are performed using ESVM approach. In this proposed research work, a bi-objective optimization problem is designed as the ESVM configuration process for improving accuracy and less complexity of model and achieve its objectives. Cuckoo Search (CS) optimization algorithm is implemented for the bi-objective optimization. accuracy, precision, recall and f-measure are the parametric meters compared in proposed research attaining higher performance against existing approaches.
Impact of Social Capital (SC) on Business Performance (BP) of Muslim Women Entrepreneurs (MWEs) in the Eastern Province of Sri Lanka (EPSL)
Authors:   Research Scholar, Management and Science University, Malaysia, South Eastern University of Sri Lanka, Srilanka., Ummah* M. A. C. Salfiya , Siong Choy Prof. Dr. Chong ,   Finanace, Accreditation Agency (FAA), Malaysia, Khatibi Prof. Dr. Ali ,   Management and Science University, Malaysia
Published: December 2019

Social capital (SC) is vital in the form of networks since it acts as an agent for change of information and resources that can enhance the success or continued existence of women owned business entities. This study aims to examine the impact of SC on business performance (BP) of Muslim women entrepreneurs (MWEs) in small and Medium Enterprises (SMEs) in the Eastern Province of Sri Lanka (EPSL). SC was measured with the dimensions of familial affiliation such as parents and or husband if married or support from any other family members, someone who acts as a role model, economic status during childhood and non-familial affiliations such as business associated or trade associations. Structured questionnaire was used as the data collection technique with the sampling frame of 260 respondents using simple random sampling technique. Structural Equation Modeling (SEM) with AMOS as the data analysis technique while employing SPSS 23.0. The analysis of the structural model showed that, non-familial affiliation had a significant and positive relationship with business performance of Muslim women entrepreneurs where as familial affiliation did not significantly influence on business performance of Muslim women entrepreneurs in Sri Lanka. In most of the conservative Islamic families, women are not often allowed go out of their homes and mix with their counter parts independently. This situation can be observed in Sri Lanka Muslim families specially, in the Eastern Province where majority come from rural areas. However, those who can break this situation and were able to make affiliation with the business associates and other related bodies could enhance their business performance. Muslim women entrepreneurs, trade chambers and decision making authorities may use this finding of the study as a template to gain insight in to the factors influencing social capital on business performance of Sri Lankan MWEs.
Adjunct Octagonal Array Token Petri Nets
Authors:   Department of Applied Mathematics, Pillai College of Engineering, New Panvel, Navi Mumbai, Maharashtra, India., Kuberl* S. , Murarka Dr. Anshu ,   Department of Applied Mathematics, Pillai College of Engineering, New Panvel, Navi Mumbai, Maharashtra, India.
Published: December 2019

Adjunct Octagonal Array Token Petri Net Structures (AOATPN) are recently started out octagonal photograph delivering structures which out prolonged the Octagonal Array Token Petri internet systems. on this paper we view as AOATPN format over a control feature named inhibitor curves and separate it amongst a few critical octagonal photograph making and perceiving designs regarding the making energy.
L – Fuzzy Ordered ‘Γ’- Semi rings
Authors:   “Koneru Lakshmaiah Education Foundation, vaddeswaram”, Guntur, A . P, India., Rao* T. Srinivasa , Kumar B. Srinivasa ,   “Koneru Lakshmaiah Education Foundation, vaddeswaram”, Guntur, AP, India., Rao S. Hanumantha ,   “Vignan’s Foundation for Science, Technology and Research, Guntur, AP, India., Rao T. Nageswara ,   “Koneru Lakshmaiah Education Foundation, vaddeswaram”, Guntur, A P, India.
Published: December 2019

‘Γ’- ring concept was introduced by Nobusawa which is the generalization of a ring. In this paper we studied the concept of L – Fuzzy Ordered ‘Γ’- Semi ring along with non-membership and membership functions whose values are taken from a complete lattice and some properties. AMS Mathematics Subject Classification: 03B52
Data-Sharing and -Searching Scheme to Share and Search Data Securely by Iot Smart Devices
Authors:   Computer Science & Engineering, Nalla Narasimha Reddy Education Society’s Group of Institutions, Hyderabad, Telangana, India, Rameshwaraiah* Dr.K. , Babu Dr.K.Srinivasa ,   Computer Science & Engineering, Nalla Narasimha Reddy Education Society’s Group of Institutions, Hyderabad, Telangana, India, Reddy Mr.S.Sridhar ,   Computer Science & Engineering, Nalla Narasimha Reddy Education Society’s Group of Institutions, Hyderabad, Telangana, India.
Published: December 2019

In a few documents, cloud support safe information distribution plans be exhibited whereby clients be able to impart their information to other people/among a gathering through the cloud. This article proposes a proficient records distribution plan to allow savvy gadgets toward securely share records with others at the edge about cloud-helped Internet of Things (IoT). We additionally plan a safe looking through suggest to look through required records within possess/shared information on capability.
An Integrated Heterogeneous Smart Agriculture System
Authors:   Department of Software Engineering, College of Computing and Informatics, Haramaya University, Ethiopia, Rajasekhar* B. , Singh Dr.Gavendra ,   Department of Software Engineering, College of Computing and Informatics, Haramaya University, Ethiopia, Mohammed Afendi Abdi ,   Department of Software Engineering, College of Computing and Informatics, Haramaya University, Ethiopia
Published: December 2019

It is very essential to use smart agriculture in present days. This will solve various issues occur in agriculture. With Internet of Things (IoT), wireless sensors and fog computing an integrated system providing the smart agriculture is running in present villages. Various issues are identified on this smart agriculture. Parameters such as irrigation scheduling and inefficient utilization of water resources are two of several ubiquitous parameters restricting production in many agricultural regions. To solve these issues, energy consumption of the sensors plays major role to send and receive the data on various parameters. In this paper, an integrated energy efficient sensors by using thermal imaging to maintain the constant data flow from sensors to fog and cloud server.
An Evaluation of the Impact of AIS on the Accounting Practices implemented in the ERP Environment
Authors:   South Eastern University of Sri Lanka, Oluvil, Sri Lanka, Haleem* Athambawa , Teng Kevin Low Lock ,   Graduate School of Management, Management and Science University, Malaysia, Ahamed Samsudeen Thowfeek ,   Hardy Advanced Technological Institute Ampara, Sri Lanka.
Published: December 2019

The importance of the application of AIS is crucial for any organizations as they face tough competition due to volatile changes in technology. The important issue is whether ERP implementation increases the Accounting Practices (APs), consequently to achieve the goals of firms. Thus, the main purpose of this study was to examine the effect of ERP System Quality (ERPSQ) and Accounting Information Quality (ACIQ) on APs moderated by User Competency (UC) in an ERP environment. The primary data were collected for this study using self-administered structured questionnaire from 217 accounting practitioners of public listed companies in Sri Lanka. Moreover, structural equation modelling techniques (SEM) were used to construct the model and it showed the good model fit with the identified constructs. The study developed the hypothesis based on the conceptual model that there was a significant relationship between ERPSQ and APs and there was a significant relationship between ACIQ and APs. The study revealed that both ERPSQ and ACIQ were significantly influenced on APs in public listed firms in Sri Lanka. Moreover, the ACIQ had mediating effect between ERPSQ and APs. In addition, it was proved that UC provides a moderating effect between AIS and APs. Moreover, The novelty of this paper was the contribution of both theoretically and empirically to the information system success model through AIS in ERP system. Further, it also contributed to ACIQ to APs.
Predicting Student’s Campus Placement Probability using Binary Logistic Regression
Authors:   Department of Mathematics, KoneruLakshmaiah Education Foundation, Vaddeswaram- 522502, India, Kumar* D. Satish , Bin Siri P. Bindu, Zailan ,   Institute of Mathematical Sciences, Faculty of Science, University of Malaya, 50603 Kuala Lumpur, Rao D.S. ,   Business School, KoneruLakshmaiah Education Foundation, Vaddeswaram- 522502, India, Anusha S. ,   Department of Mathematics, KoneruLakshmaiah Education Foundation, Vaddeswaram- 522502, India
Published: December 2019

Understudies trying to precise instructions for the most part chose instructive establishment with a notable popularity inside the primary settings. Many of those establishments several instances reputation controlled through bundles of compensation presented with the aid of the complainant for his understudies. In this putting it's far appropriate to explore and distinguish variables which could have an effect on the composition of the reason replacement special education .The threat within the State of Andhra Pradesh which has a excessive grouping established order of a unique training became appointed as research region. A careful survey of writing ends in a diagnosed proof of six determinants of speculative state of affairs inside the alternative special motive training.A arbitrary eg MBA alternative function information 250 is assembled from various organizations and located parallel relapse version became suited for the six signs for assessing information possibilities for placing alternative purpose. Assessed Results show that the possibility of putting in a simple exam is inspired by using 4 signs: CGPA, Specializes in PG, UG and Specialization in Gender.
Peculiarities of the Development of the Financial and Economic System of Agriculture and Water Sector in Uzbekistan
Authors:   PhD of Economic Sciences, Associate Professor of the Accounting, Analysis and Audit Department of the Tashkent State Agrarian University, Tashkent, Uzbekistan., Dilshad* Mamadiarov , Bakhtiyor Menglikulov ,   Phd of Economic Sciences, Professor of Accounting, Analysis and Audit Department, Tashkent State Agrarian University, Tashkent, Uzbekistan, Shahlo Ergasheva ,   PhD of Economic Sciences, Professor of the Accounting Department of the Tashkent State University of Economics, Tashkent, Uzbekistan., Normuminovich Sherali ,   Senior lecturer at the Agrology Department of the Tashkent State Agrarian University, Tashkent, Uzbekistan
Published: December 2019

In Uzbekistan agriculture plays a specific role in economic development because of its significant share in total employment and GDP. The aim of this paper is to analyze financial and economic system of agriculture and water sector. The special attention is devoted to the position of agricultural sector that may positive influence to support economic development and food security in the region. The results indicate main trends in economic development, and point that agriculture still dominates in terms of employment. Moreover, a significant reduction of agriculture’s share in GDP is to be expected in the future, while the shares of industry and services increase.
Model for Determining the Parameters of the Distribution Drum of the Sowing Seeder Hopper of Seeds of Desert Fodder Plants
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,, Farmonov* Erkin , Igamberdiev Askar ,   Doctor of Technical Sciences, Professor, Tashkent Institute of Irrigation and Agricultural Mechanization Engineers at the Department of Agricultural Mechanization. Head of the department "Operation and repair of machines, Tashkent, Uzbekistan., Sadyrov Amir ,   Ph. D in Technical Sciences, Assistant Professor, Scientific and Research Institute of Agricultural Mechanization, Republic of Uzbekistan, Farmanova Feruza ,   Assistant in the Department of agricultural machinery of Tashkent Institute of Irrigation and Agricultural Mechanization Engineers Republic of Uzbekistan,, Aynakulov Sharafidin ,   Teacher of the Department of Information Technologies of Tashkent Institute of Irrigation and Agricultural Mechanization Engineers Republic of Uzbekistan
Published: December 2019

The article provides evidence that about 20 million hectares of desert pastures of Uzbekistan allocated for livestock. To improve the condition of desert pastures, methods for determining the parameters of the distribution drum of the hopper of an innovative sowing seeder that satisfy the agrotechnical requirements for sowing seeds of desert fodder plants are presented.