bluuebunny/crossref_metadata_2025 huggingface dataset:
Liderazgo y desempeño en las cooperativas de ahorro y crédito ecuatorianas
Authors:   , Galarza Torres Sandra Patricia
Published: October 2019

El liderazgo es un tema del que mucho se ha escrito de ahí la extensa bibliografía que va desde los enfoques clásicos hasta los contemporáneos que llevan a la aplicación de técnicas y conceptos generales con las respectivas adaptaciones y condiciones de cada ejecutor, en cada organización. No obstante, y de forma específica, la evidencia generada hasta la presente en países latinoamericanos y por supuesto en el Ecuador es escasa. En consecuencia, esta investigación pretende comprobar en un estudio sobre liderazgo, la existencia de asociación entre los estilos y dimensiones del liderazgo con el desempeño financiero. Se entrega un análisis de datos obtenidos en una muestra de seis cooperativas de ahorro y crédito ecuatorianas que poseen activos mayores a 20 millones de dólares y pertenecen a los segmentos 1 y 2. Se midió en un solo momento los prototipos [real e ideal], estilos de liderazgo [real e ideal] y la relación líder-miembro como variables independientes, así como la percepción y autopercepción del estilo de liderazgo para luego; relacionarlas con los resultados e índices financieros como variables dependientes. Los resultados develan que los directivos utilizan todos los estilos de liderazgo analizados siendo el liderazgo predominante el Directivo. Por otro lado, los colaboradores se distinguen por su énfasis en la expectativa de un líder carismático orientado al trabajo en equipo, buen administrador, interesado en altos resultados, honesto, lógico, constructor de relaciones y consciente de las diferencias de estatus en la organización. Por otra parte, tienen la más baja idea del líder individualista u orientado a sí mismo, lo que ratifica su orientación colectivista de grupos. Además, la discrepancia de las dimensiones [real e ideal], así como los estilos de liderazgos moderan la relación que se establece con el jefe y directivo, si el líder no coincide con el prototipo que tienen en mente los seguidores la relación también se ve afectada. Finalmente, de los estudios realizados sobre el liderazgo, el análisis de las características del líder es el que mejor explica el desempeño financiero. Por lo que, las características que generan un impacto positivo logran mejores resultados financieros mientras que aquellas con atributos esencialmente relacionados con un rasgo de baja agradabilidad no lo hacen.
Peran American Military Industrial Complex dalam Konflik Bersenjata di Timur Tengah
Authors: Muhammad Ajie Mahar
Published: October 2019

Negara-negara di kawasan Timur Tengah, mulai dari Iran, Irak, Lebanon, Suriah, Yaman, Bahrain, Mesir, hingga Turki, dan negara-negara lainnya, seolah tak henti didera konflik politik. Di beberapa negara, konflik bahkan berujung pada konflik bersenjata, misalnya di Irak, Suriah dan Yaman. Setiap harinya, selalu muncul berita yang mengabarkan perkembangan konflik bersenjata di kawasan tersebut, seakan menunjukkan bahwa konflik di sana tak akan pernah usai. Hal tersebut memunculkan pertanyaan, apa yang menyebabkan konflik di Timur Tengah berlarut-larut? Artikel ini mengaitkan hubungan antara konflik bersenjata yang terjadi di Timur Tengah dengan fenomena neoliberalisme yang saat ini menjadi motor penggerak ekonomi global. Dengan menggunakan konsep military-industrial complex, artikel ini berargumen bahwasanya ada pemodal besar yang memaksa kondisi ini untuk tetap berlangsung karena mereka diuntungkan oleh berlarut-larutnya perang ini.
Research and methodological approach to scoring the impact of banks performing operations involving transnational capital on the banking system of Ukraine
Authors: Tkachenko Nataliia , Momot Oleksandr
Published: October 2019

The article examines the impact of banks performing operations involving transnational banking capital on the banking system of Ukraine through the use of the principal components analysis. This approach is related to the method of multidimensional statistical analysis and is widely used to reduce the dimension of an analyzed set of attributes, and to select the most informative indicators and classification features.From the research, it is found that the principal components analysis is based on the idea according to which structural properties of relations between variables can be determined by their dependence on fewer non-measureable (concealed, latent, hypothetical) general factors.The direct estimation of the impact of banks performing operations involving transnational capital on the banking system of Ukraine is carried out by means of the application package named Statistica. For this analysis, the following relative indicators showing how Ukraine’s banks perform operations involving transnational capital are used: 1) percentage of funds raised from legal entities; 2) percentage of funds raised from individuals; 3) percentage of owned capital; 4) percentage of profit / loss after tax; 5) percentage of assets; 6) percentage of loans and debts of legal entities; 7) percentage of loans and debts of individuals.Based on the research findings, it is shown that there are three principal components which take into account more than 5% of total variance. However, there is only one component among them the value of which exceeds 1. The second component equals 0.954179, meaning that it approaches 1. The scree plot shows that the breaking point can be viewed as the eigen-value of correlation matrix which equals 23.85%. Consequently, the two principal factors have an essential impact on the processes of foreign capital penetration into Ukraine.It is claimed that the expansion of transnational banking capital into the banking system of Ukraine is controversial. On the one hand, these trends are quite obvious. On the  other hand, financial, economic, military, and political instability hampers such processes. In conclusion, it should be stressed that unlike other approaches, the research and methodological approach to scoring the impact of banks performing operations involving transnational capital on the banking system of Ukraine, is based on the principal components analysis. This makes it possible to develop an aggregate index which characterizes the impact of banks performing operations involving transnational capital on the banking system of Ukraine, and to use it for monitoring of structural changes in the banking system.
Investment rankings and their impact on the country’s investment image
Authors: Churuta Ivan
Published: October 2019

The paper claims that direct foreign investments play an essential role in every country’s economy, since they ensure its efficient functioning and further growth. Since investment rankings are used as a primary indicator, because they help investors quantify the investment image, possible risks and investment reliability, it is concluded that the amount of direct investments depends on the country’s investment image.The scope of research includes the country’s investment image and major investment rankings that shape the image. The aim of the study is to establish a list of international investment rankings, which prospective investors may analyze when making investment decisions. To obtain this objective, the following methods are used: theoretical generalization, comparison, abstraction, analysis and synthesis.The article presents an analysis of various views of national and foreign scholars  on interpretation of investment image. Based on summarizing the existing opinions, a consolidated definition for investment image is proposed. A list of major investment rankings that shape the country’s investment image is established, and ways of calculating their particular characteristics are presented.It is concluded that in order to attract foreign investments to the required extent, each country should take measures to improve its investment image and its position in major international investment rankings.
The role and place of accountants in automated accounting
Authors: Muravskyi Volodymyr
Published: October 2019

In order to get rid of bureaucracy in business administration, and to eliminate overlapping functions, competition and contradiction of information that are common in linear and functional organizational structures, a need arises to develop new institutional forms of accounting. The paper reveals the prospects for the development of business networks  in response to introducing electronic communication channels for accounting information transfer.The goal of the research is to consider the prospects of transition to the new institutional structure of accounting, which implies the consolidation of dynamic- network and project- matrix structural elements and improvement of funсtional responsibilities of accountants for obtaining skills and experience necessary for working with modern computer and communication technology. For this purpose, methods of analysis and synthesis are used in order to structure the study object on the basis of identifying functional responsibilities of accountants in automated accounting.The article examines stable, dynamic, project, matrix and other advanced forms of accounting and management. An information model which combines dynamic-network and project-matrix organizational structures is developed with a view to introducing advanced computer and communication technology in accounting administration. The role of professionals in accounting and management in a transition to automated accounting is described, particularly when promoting advanced organizational forms of accounting.Therefore, a list of functional responsibilities for accountants which is suitable for introducing a combined organizational structure is offered. Within the framework of computer and communication form of accounting, accountants set targets for the automated accounting system, and together with software engineers they develop and improve software and technical assistance, tailor the accounting system to changes inside and outside the company, control the correctness and efficiency of processing and transferring information by the automated processing system. As a result, more time will be freed to concentrate on interpreting accounting information for tactical and strategic targets. Further research should be undertaken to consider the functional role of accountants in communicating with managers and other company staff.
Genesis of accountability and its impact on accounting
Authors: Omodero Cordelia Onyinyechi
Published: October 2019

Purpose: This study examines the genesis of accountability: a global view. The concept of accountability has been viewed from various disciplinary lenses in order to develop an integrated understanding of the term. Special attention is devoted to principal—agent perspectives from political science and economics.

Research methodology: An integrated framework is developed, based on four central observations. (1) Accountability is relational in nature and is constructed through inter- and intra-organizational relationships. (2) Accountability is complicated by the dual role of nonprofits as both principals and agents in their relationships with other actors. (3) Characteristics of accountability necessarily vary with the type of nonprofit organization being examined. (4) Accountability operates through external as well as internal processes, such that an emphasis on external oversight and control misses other dimensions of accountability essential to nonprofit organizations.

Results: The study finds that the time has come for individuals, organizations, stakeholders, establishments, institutions and governments to focus on reporting on their programme results, such as inventory take result and product performance result.

Limitation: Paucity of data and empirical works were the major restrictions to this study.

Contribution: Thus, being clear about intentions, measuring and understanding results, and making adjustments where necessary, would help assure taxpayers/stakeholders that their money is being spent wisely. A focus on results would also help to ensure that limited public resources are being applied in a way that provides the most value to all concerned.

Keywords: Accountability, Genesis, Performance, Responsibility, Types, Assessment, Global
Analisa Preferensi Konsumen Berbelanja di Pasar Malam dan Dampaknya terhadap Peningkatan Kesejahteraan Ekonomi Pelaku Usaha di Kota Samarinda
Authors: Arianti Arianti , Rhussary Margaretha Lasni
Published: October 2019

This study aims to analyze the factors of consumer preferences for shopping at the night market and the impact of these preferences on improving the economic welfare of night market entrepreneurs in Samarinda City. Sampling in this study was carried out by the method of non-probability sampling with convenience sampling technique, an analysis tool used simple linear regression. The results showed that there are 5 factors that influence consumer preferences in choosing the night market as a place to shop, of the 5 factors, the most dominant factor is the product. The diversity of products provided at the night market is considered to meet consumer expectations. With the Kaiser- Meyer-Olkin (KMO) test and Bartlett's Test, it shows a value of 0.672 so that the factor analysis process is feasible and the Barlett's Test of significance level of 0,000 shows that there is no correlation between variables so that factor analysis can be done. Meanwhile, the impact of consumer preferences on improving economic welfare can be seen from the results of t count of 5.270 with a significance level of 0,000. From the results of the test of the coef icient of determination can be seen by 72.7% increase in welfare of the night market business.
Automatic Vehicle Headlight Management System to Prevent Accidents Due To Headlight Glare
Authors:   Bannari Amman Institute Of Technology, Jordan, K Lakshmi , R Nevetha ,   Bannari Amman Institute Of Technology, Jordan, S N Ilakkiya ,   Bannari Amman Institute Of Technology, Jordan, R Ganesan ,   Bannari Amman Institute Of Technology, Jordan
Published: October 2019

The headlight during the night travel plays a major role. While driving there may be an irritating situation due to the headlight lamp focus from the opposite vehicle. It may cause temporary blindness that leads to collision or sometimes it may lead to accidents. There is a manual way to adjust the headlight focus but it is difficult to adjust manually. This paper provides an automated headlight management system. Here, the headlight beam is reduced in the vehicle according to the intensity of light from the opposite vehicle.LDR is used to detect the high beam from the opposite vehicle.
Brand Positioning Statements vs. Emotional Value Proposition: Patanjali Products Are Reference
Authors:   Associate Professor, Department of Commerce, Periyar University, Salem, Tamil Nadu, India, Rajkumar Dr. K. Prabhakar , Abraham Mareena ,   Research Scholar of Department of Commerce, Periyar University, Salem, Tamil Nadu, India.
Published: October 2019

This study explores the consumer emotional attachment to the brand. A brand that can build up an emotional attachment with consumers plays a significant role in building up an emotional attachment and bonding in the market domain. The research paper used the CHAID, the decision tree method appears in the literature review with different names as automatic interaction detection, classification and regression tree, artificial neural network and genetic algorithm to evaluate the brand experience and attachment level, which create an emotional link with consumers, which are categorized in two groups i.e. Mediocre and Obsession. In this paper the selected observations for demographic and socio-psychological characteristics of respondents in creating the classification model for the identification of consumers’ emotional attachment towards the Patanjali brand for different categories of products were examined and evaluated. Our finding suggests the mechanism CHAID decision tree method, was used to verify the emotional attachment level of respondents. The dependency analysis between the selected personal, characterizes emotional values and consumer emotional attachment (based on obsession and mediocre) conducted on a sample of 126 respondents of Patanjali product consumers. In this decision tree method, the duration of the experience was the variable that strongly interacted with the consumer emotional attachment variable. The research paper attempts to reveal the concept of emotional value proposition ie. Emotion based brand positioning can establish the consumer – brand linkages at the emotional level. The parameter- duration and long experience with the consumption of products, makes consumers satisfied towards a product, moreover that product develops sentiment and emotional values in the consumer’s mind. This research work helps the manufacturers to develop the various sentiment value associated with consumers refer to the product, which could ultimately build up a strong emotional positioning in the minds of consumers moreover it will boost up the sales volume of the product.
Design and Development of 1.575 Ghz Quarter-Wave Patch Antenna with Feed Line
Authors:   Research Scholar, Department of Electronics & Communication Engineering, Bharath Institute of Higher Education and Research, Chennai, Tamil Nadu, India., Sindhuja S. , Kanniga E. ,   Professor, Department of Electronics & Communication Engineering, Bharath Institute of Higher Education and Research, Chennai, Tamil Nadu, India.
Published: October 2019

This paper presents a quarter-wave patch antenna for GPS application which is realized by using shorting pins. The impact of the shorting relies upon the distance between the shorting posts, the radius of each shorting post, the number of shorting posts used and the height of the shorting posts which is determined by the thickness of the substrate used (which is 1.6mm for FR-4 substrate). A Right Hand Circularly Polarized Microstrip patch antenna with feed line for GPS frequency (1.575 GHz) is designed, simulated and fabricated. Simulation is done using ADS (Advanced Design System) and a fabricated prototype of the both the shorted and unshorted proposed antenna have been measured using Agilent Vector Network Analyzer.
ICT & Online Education – Factors affecting Employees’ preference for Online Education
Authors:   Research Scholar, Faculty Of Management Department of Management Studies, Pacific Academy Of Higher Education And Research University, Udaipur, India., Kundra Kamal , Chugh Dr. Manish ,   Academic Officer, NIOS, India. Dr. Rinku Dixit, Department of Business Analytics, New Delhi Institute of Management, New Delhi, India.
Published: October 2019

The potential of ICTs in promoting the development and reach of educational avenues in India is unambiguously clear in the light of the challenges facing the country. Role of ICTs with enhanced focus on development of content and the applications to provide enhanced quality of education must be synchronized with the various initiatives for using ICT for education and should be guided by adequate guidelines and framework. Provisioning of ICT is limited by the Infrastructure especially in the rural areas, where Internet and electrification are major issues of concern. It is well known that higher penetration of mobile phone, radio and TV implies increased development and delivery of innovative content via these media. This paper is focussed on the necessity to incorporate ICT as a part of the curriculum and also use it to strengthen the teaching learning process. The paper explores the key factors that drive the growth in the E-Learning sector. The authors undertook a research for identifying the various factors that may affect the choice and preference of employees for opting for online education as a measure for career/knowledge enhancement. The study indicates that online education market in India is currently booming. The growth of the market is dependent on the field of study, the willingness to pay, the credibility of the offering organization and the acceptability of the learning in the Corporate sector.
Chatbot for Monitoring Mental Health and Personality Trait Identification
Authors:   CSE Deprtment, Anna University/ Mepco Schlenk Engineering College, Sivakasi, TamilNadu, India, Jeba J.Monisha Privthy , Bharath S. ,   CSE Deprtment, Anna University/Mepco Schlenk Engineering College, Sivakasi, TamilNadu, India, Gowtam P. ,   CSE Deprtment, Anna University/Mepco Schlenk Engineering College,Sivakasi, TamilNadu, India, Praveen G. ,   CSE Deprtment, Anna University/Mepco Schlenk Engineering College,Sivakasi,TamilNadu,India
Published: October 2019

AI Chabot or conversational agents are application that mimics human communication. They can entertain, motivate and actively engage people. An important concern faced by most people is stressed disorders. These disorders can include OCD and posttraumatic stress disorders. Most affected category of people is the employees and students. In order to prevent this, counseling is provided. It is done by the HR managers in IT companies and by the teachers to the students or by professionals. But most people are not open to the specialists and feel more uncomfortable during this process of expressing their feelings. This process can be made simple by using a Chatbot. This Chatbot communicates with the people, identifies their traits and provides their sentiment scores to an authorized person. There are three key modules in the development process. First is the Sequence-to-Sequence model. This model consists of an encoder and a decoder. The received input text is converted to tokens and each token is identified with a random number, which is common for the same tokens. The second module is the sentiment analysis which is used in identifying the emotions of a person. The sentiment score is generated for the users. The traits of the person are identified from the chat logs. A RNN (Recurrent Neural Network) is built to identify the trait of the person from the pre-defined 16 types of personality traits. The multi-class classifier’s output can be combined with the sentiment score to truly identify the characteristics of the users.
Synthesis and Application of Ceo2 and Zro2 Nanoparticles for Enhancement of Dielectric Strength of Transformer Oil
Authors:   Electrical & Electronics Engineering Department, Vishnu Institute of Technology, Bhimavaram, Andhra Pradesh, India., babu G. Suri , Chiranjeevi Tirumalasetty ,   Electrical Engineering Department, Rajkiya Engineering College Sonbhadra, Uttar Pradesh, India.
Published: October 2019

Power and Distribution transformers are the key devices to maintain power system reliability. Thus in-order to have continuous power supply ,a fault tolerant system is to be developed by avoiding the failures on major devices like transformers. As insulation failure is accounted as 13.0% occurrence of all the faults on transformer, there is always a point of interest to enhance the breakdown strength of the transformer oil. Also to cater to the demand , an increase in the number and unit capacity of high voltage transformers require transformer oil with high oxidation stability and good electric properties. In this work , ceramic nanomaterials zirconia(ZrO2) and Ceria ( CeO2) are preferred due to their strong insulating property and high relative permittivity. The synthesized nanomaterials of concentration (0.5%wt) are dispersed into the transformer oil by sonication and AC breakdown measurements have been performed on the prepared nano transformer oil. The obtained results clearly indicates a remarkable increase in the dielectric strength of transformer oil filled with ZrO2 and CeO2nanoparticle.
Performance and Emission Characteristics of Dual Fuel CI Engine
Authors:   Assistant Professor, Department of Mechanical Engineering, Sri Krishna College of Engineering and Technology- Coimbatore, Tamil nadu-India, Dhiyaneswaran J. , Rajesh K. ,   Assistant Professor, Arunai engineering college – Tiruvannamalai- Tamilnadu – India, Sanjeeviraj K. ,   Assistant Professor, Sreenivasa Institute of Technology and Management Studies, - Murukampattu- Chittoor- Andhra Pradesh
Published: October 2019

The present concern on energy demands, cause a growing interest on different fuels, for a sustainable solution, typical engines befittingly changed and experimented for favorable results. This context the present work dealt a newer approach as LPG as primary fuel and diesel DEE as pilot fuel. LPG gas presents a very promising alternative to diesel oil since they are having similar properties. The LPG has a low cetane number, therefore DEE added to the LPG to enhance cetane number. With the cetane improver, stable Diesel engine operation over a good range of the engine loads was possible. In this work, we studied the emissions of Diesel-LPG-DEE blends at completely different mixture and different loads. Experimental result showed that the thermal potency of LPG powered Diesel engine was equivalent to Diesel fuel operation. Exhaust emissions measurements showed that NOX and smoke could be significantly reduced with the blend of LPG, and DEE.
Fertilizer Recommendation System using SGD on Mahout and Hadoop Platform
Authors:   Computer Engineering/ Punjabi University, Patiala /India, Garg Raghu , Aggarwal Dr. Himanshu ,   Computer Engineering/ Punjabi University, Patiala /India.
Published: October 2019

In the current world scenario, the existence of human is impossible without the necessary proliferation of plants. Health of plant depends on water and soil nutrition that help plants to produce energy. Apply appropriate recommended fertilizer quantity is necessary for a healthy plant. However, due to overexposure, soil sometimes gets degraded, so fertilizer is an important element to retain the soil quality. Now a days decision support system plays a vital role in the recommendation. These recommendation systems are based on historical data. In this respect, soil analysis is an appropriate approach to determine the soil quality. Soil analysis generates a report of unstructured and unperceivable data by testing soil in laboratories that make it agriculture big data. This type of systems generally has been implemented in the banking and health care sector for fraud detection and patient recommendations, respectively. In this paper, we have been proposed fertilizer recommendation system based on present nutrition quantity in the soil. In this system, the useful data is extracted from soil analysis reports and save into two files: 1) first file save soil nutrition composition and solution number that act as the label in 2) second file save solution number and recommended fertilizer quantity. Soil composition encoded into vector use by classification system to trained system. In this research work, SGD big data analysis machine learning techniques are applied to identify the fertilizer recommendation classes based on present soil nutrition composition. Here, SGD classification system is used to train the system. Our proposed system obtained 64.08% total average accuracy. The proposed model can also be used by agriculture experts to recommend fertilizer quantity according to crop type and present nutrition composition.
Solar PV based Permanent Magnet Synchronous Motor Drive for Water Pumping Application
Authors:   GMRIT, Rajam, Srikakulam, Ιndia, Sabareesh Vadapalli Uma , Karthick K ,   GMRIT, Rajam, Srikakulam, Ιndia
Published: October 2019

In remote and hilly areas water pumping for domestic usage can induce heavy cost due to high cost of power transmission to those areas. The utilization of solar photo voltaic (SPV) energy is progressive at these areas. The conversion efficiency of SPV is increased efficiently by improving Maximum power-point tracking (MPPT) techniques which are easier, low cost and can be implemented on existing SPV systems. Moreover, using PMSM drive for water pumping will reduce the size requirement of SPV compared to Induction motors (IM) and brushed DC motors and also PMSM provides almost no maintenance. Keeping in view the present requirement, this project proposes an SPV powered PMSM water pumping drive with Perturb&Observe(P&O) and Incremental-Conductance (INC) MPPT techniques for optimizing the efficiency of SPV.
Monitoring and Control of Vital Parameters in Greenhouse using Internet of Things
Authors:   Electronics and Communication Engineering, Karunya Institute of Technology and Sciences, Coimbatore, India, Evangeline C.Suganthi , Lenin Ashmiya ,   Electronics and Communication Engineering, Karunya Institute of Technology and Sciences, Coimbatore, India, Chandra Jaya Keshava ,   Electronics and Communication Engineering, Karunya Institute of Technology and Sciences, Coimbatore, India, Prasanth Jeeva ,   Electronics and Communication Engineering, Karunya Institute of Technology and Sciences, Coimbatore, India
Published: October 2019

The purpose of this paper is to design a greenhouse monitoring system (GHMS) which helps the cultivator to monitor environment and control the sensor values by means of feedback mechanism. The methodology involves the combination of six sensors which gives the values of the environment such as temperature, humidity, moisture, obstacle entry, pH and light. The sensor values are analyzed and sent to cloud using Wi-Fi module which enables the online monitoring, displays the values of the sensor in liquid crystal display (LCD) and also send alert mail and messages. The results are obtained and the values are updated in cloud and webpages. This design enables the cultivator to protect the greenhouse environment both online and also offline. In addition to it also gives the alert about any intruder or animals crossing the cultivation area. Thereby the soil parameters, environmental conditions and intruder entry are included in the proposed work. The proposed work of GHMS provides the low cost framework to sense the environment parameters such as temperature, humidity, moisture, light and pH. It also protect the environment of greenhouse from animal attacks using an infrared (IR) obstacle sensor. The sensor values are updated in cloud and messages is sent through Global System for Mobile Communication (GSM) module which is a cost effective one. The need of al-time internet connection is overcome by sending messages.
Evaluation of Over Looped 2d Mesh Topology for Network on Chip
Authors:   Department of Computer Science and Engineering, Veltech Dr.RR &Dr.SR University, Avadi, Chennai-600062, Tamil Nadu, India., Lochana A.Singara Rajiva , Arthi K. ,   Associate Professor, Department of Computer Science and Engineering, Veltech Dr.RR &Dr.SR University, Avadi, Chennai-600062, Tamil Nadu, India.
Published: October 2019

The arrangements of nodes in the network identifies the complexity of the network. To reduce the complexity, a structural arrangements of nodes has to be taken care. The mesh topology yields attraction than the other traditional topologies. Making the opposite corner nodes to communicate with less hops and avoiding the centre of the networks traffic, Over-Looped 2D Mesh Topology is proposed. For a homogeneous systems the proposed work can be deployed without altering any of the switch component compositions. By making the flits, travel in the outer corner nodes with the help of looping nodes will make the journey from source to destination with less hops. For smaller network below 4x4 the looping is less responsive. For odd or even number of columns and rows the looping can be done. The number of columns and number of rows need not to be equal. The left over nodes will be looped accordingly. The hop count of the Over-Looped 2D Mesh Topology compared to 2D mesh decreases the journey by 25%. The wiring segmentation and the wiring length of the system more than 10 % from 2D mesh and less than 20% from 2D Torus.
Intelligent Learning System using Data Mining-Ilsdm
Authors:   Computer Science and Engineering, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai, India, Kavitha M. , Sugnathy M. ,   Electronics and Communication Engineering, Vel Tech Multitech Dr.Rangarajan Dr.Sagunthala Engineering College, Chennai, India, Srinivasan R. ,   Computer Science and Engineering, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai, India
Published: October 2019

In this paper, adapted learning methodology is proposed using Data mining techniques to satisfy the individual needs of the student. First part of the proposed methodology is to create student profile, so that need of the student is analyzed. K-means clustering is used to group the contents of a particular student. C4.5 Algorithm is implemented in the dashboard section to display the content to the user. Second part is to develop intelligent learning application by using Page ranking algorithm. For every user, the content displayed on the dashboard is different. Content are selected and displayed from the database to the user after analyzing their answers submitted in the questionnaire section. As every user has different area of interest and according to their choice the contents are displayed. The page ranking algorithm helps keeping the most preferred and referred material at the top.
Practical Privacy-Preserving in Cloud Image Repositories
Authors:   Department of Computer Science, K.S.R. College of Engineering(A), Tiruchengode, India,, Vidyavathi R. , Sivaprakash M. ,   Department of Computer Science, K.S.R. College of Engineering(A), Tiruchengode, India,
Published: October 2019

Cloud computing is an emerging technology utilized widely due to its various advantages. However the major issue faced here is security in maintaining files. Our proposed work focuses on storing and retrieving of image data in secure way in cloud through double step verification. In general, cryptography is utilized to store data in secure way. The key logic is when there is less security automatically data will be reveal to unauthorized users. In our proposed method, these issues are overcome through double step verification. Initially image has been encrypted through Attribute Based Encryption (ABE). In addition to provide better security repository encryption has been implemented by RC4 approach. This will provide better security for user data in cloud through this two step verification. To ensure originality of user image watermarking technique has been implemented. Therefore it ensures without user knowledge an unauthorized user could not get the original image. Hence our system achieves maximum security compared to other existing approaches.
EduBlocerts: Securing Institutional Data using Block-chain Technology
Authors:   Department of Computer Science and Engineering, CVR College of Engineering (Autonomous), Hyderabad, India., Bhavani Dr. D. Durga , Chaithanya D. ,   Department of Computer Science and Engineering, CVR College of Engineering (Autonomous), Hyderabad, India.
Published: October 2019

Educational Institutions are storing their data and their transactions in the physical media such as registers, books, records and in digital media like hard disks and in cloud storage. These type of storage media are insecure and are prone to data tampering. Even when they are protected with a password, they can be altered if the user’s password has been hacked, which means the traditional methods of record keeping are insecure. Blockchain has a decentralized architecture which store and secure transactions transparently and there will be no central authority over those occurring transactions. So, a model is implemented which uses the core technology of the Block-chain to store and secure the institutional data which will be in the form of transactions. These transactions can be easily viewed by anyone in the connected network. Even if the data is tampered it can be detected easily. This model has the advantages of Block-chain minus the investments and risks associated with it.
Design of Low Power Amplifier for Brain Signal Measurement Applications
Authors:   Department of Electronics and Communication Engineering, Punjab Engineering College (Deemed To Be University), Chandigarh , India., Kaur Navdeep , Prakash Dr. Neelam Rup ,   Department of Electronics and Communication Engineering, Punjab Engineering College (Deemed To Be University), Chandigarh , India.
Published: October 2019

This paper presents the idea of analog amplifier which amplifies the amplitude of the real time EEG signals. This amplifier is for the front end application in brain signal measurement applications. In this paper instrumentation amplifier has been used for the designing purpose. The parameters of the proposed amplifier have been analyzed in order to achieve better gain and less power dissipation. The parameters like voltage, slew rate, gain bandwidth product, and sizing of Mosfet have been analyzed to achieve high gain using Cadence Virtuoso Software.
Enhancement of Thermal Efficiency of Heat Exchanger using Titanium – Oxide nanofluid
Authors:   Assistant Professor, Mechanical Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, Manoram R. B. , Sricharana P. ,   UG Student, Mechanical Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, Abinesh B. ,   UG Student, Mechanical Engineering, Sri Krishna College of Engineering and Technology, Coimbatore., Vallarasu M. ,   UG Student, Mechanical Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, Sivasakthi C. ,   UG Student, Mechanical Engineering, Sri Krishna College of Engineering and Technology, Coimbatore.
Published: October 2019

Improvement of heat removal rate in heat exchanger using passive techniques is considered to be one of the most challenging task for engineers and scientist. In this study efficiency of the heat exchangers has been studied with TiO2/ water based nanofluid. The thermal properties, physical properties and heat removal efficiency of heat exchanger with nano-fluid as working fluid was investigated. Nanoparticle concentration of about 0.1 and 0.3 vol% was used. It was detected that the thermal conducting property and viscous property of the nanofluid increased proportionally with volume percentage. With the increased heat, the thermal conducting property increased while the viscous property of the nanofluid decreased. The heat removal rate on both shell outlet and tube outlet was estimated for different mass flow rate. The experiment results showed that with increased volume percentage and flow rate, the heat transfer performance improved. A maximum enhancement of 34% was observed at 0.3 vol% and 6l/min. Though there is increase in heat transfer rate the pressure dropped and pumping requirement increase with volume concentration and flow rate.
Implementation of Network Monitoring and Automatic Smart Call Forwarding In Duos Mobile
Authors:   Assistant Professor, Department of Information Technology, Vignana Bharathi Institute of Technology, Telangana, India., Sangisetti Bhagya Rekha
Published: October 2019

Call forwarding is a traditional telecom service that allows a user to forward incoming calls to another mobile number in the same mobile device or to another device. In the present scenario in mobile phone technology, call divert is a phone feature that enables the user to forward or redirect their incoming calls to an alternate number, which can be either a landline or mobile phone. Users can also choose to divert incoming calls directly to voicemail. When call divert is enabled, the phone does not ring at the original number of the incoming call, but rather only at the location the call had been diverted to. This service requires the user to manually activate and deactivate the feature. This approach needs more manual intervention even in dual operating SIM mobiles as well. To overcome this problem a smart call, divert mechanism in dual operating mobile is proposed as an automatic Smart call-forwarding mechanism (SCF). In this mechanism, if one SIM is under poor signal strength call is automatically forwarded to another SIM which is present in the same Mobile device. By installing software in a smartphone, call forwarding is automatically triggered
Autoregressive Models and Non-Local Self Similarity in Sparse Representation for Image Deblurring
Authors:   Research Scholar, Dept. of ECE, JNTUK, Kakinada, India., Sankaraiah Y Ravi , Varadarajan S. ,   Professor, Dept. of ECE, Sri Venkateswara University, Tirupati, India.
Published: October 2019

Local area within a normal natural image can be thought as a stationary process. This can be modelled well using autoregressive models. In this paper, a set of autoregressive models will be learned from a collection of high quality image patches. Out of these models, one will be selected adaptively and will be used to regularize the input image patches. In addition to the autoregressive models, a non-local self-similarity condition was proposed. The autoregressive models will exploit local correlation of individual image, but a natural will have many repetitive structures. These structures, which are basically redundant, are very much useful in image deblurring. The performance of these schemes is verified by applying to image deblurring.
Job satisfaction in public sector bank Employees
Authors:   Research scholar, Dept. of Management studies Affiliated to JNTUA-Ananthapuram (A.P) India., Varikunta Mr. Obulesu , Kumar Dr. M.Sudheer ,   Professor Dept. of Management studies, RGMCET-Nandyal, 518501(A.P) India., Reddy Dr. T. Narayana ,   Associate Professor & Additional controller of Examinations (UG), Dept. of Management studies JNTUA- Ananthapuram. 515001 (A.P) India.
Published: October 2019

Success of any organization depends on human resource of the company, Any organization top of the position of the market the main key role of the organization employees, Organization employees feelings and expression of internal aspects todissatisfaction, now the present situation of the banking sector employees satisfaction level is very difficult, it is the situational change the employee attitude and behavior, the public sector bank employees are work performance is very happy. Individually employees feeling and emotions are different; more than the public sector banks large employees of the Bank is State Bank of India. Management and managing higher job satisfaction level in banks not only performance Of the banks but also growth and performance of the employees. Banking sector essentially provides job to large number of individuals, and thus it is necessary measures satisfaction levels of employees. The study shows that Job preference, Cooperation among Co-workers, Working Environment, Working Facilities, Salary Satisfaction, Increment Satisfaction, Welfare Facilities, other facilities, Performance Appraisal System, Behavior of boss, State Bank of India(SBI) is the public sector Bank it is a large number of Happy employees in the SBI banks namely as SBI banks in Rayalaseema Division, Andhra Pradesh India.
Enhanced Image Fusion Methodology for Low Light Visible and Infrared Images
Authors:   student in Information Science Engineering Department of Ramaiah Institute of Technology., Kumar K Praveen , Arakeri Megha P ,   Associate Professor in Information Science Engineering Department of Ramaiah Institute of Technology.
Published: October 2019

Image fusion is the mechanism in which at least two images are consolidated into a single image holding the imperative features from each one of the first images. Emerging images are upgraded and the image content is been enhanced in the entire conte
Evaluation of Unsupervised Anomaly Detection Methods in Sentiment Mining
Authors:   Research Scholar, Department of Computer and Information Sciences, Annamalai University, Sudha K. , Suguna N. ,   Assistant Professor, Department of Computer Science and Engineering, Annamalai University
Published: October 2019

Anomaly detection has vital role in data preprocessing and also in the mining of outstanding points for marketing, network sensors, fraud detection, intrusion detection, stock market analysis. Recent studies have been found to concentrate more on out
Rationalization of the Reactivity of Heteroaromatic Compounds
Authors:   Assistant Professor, Department of H&Sc, S R Engineering College, India, Praveena D. , Devender K, ,   Assistant Professor, Department of H&Sc, S R Engineering College, India
Published: October 2019

Heterocyclic chemistry is the branch of chemistry managing synthesis, homes, and also applications of heterocycles. Most especially, they make up the core frameworks of mono as well as polysaccharides, as well as the 4 DNA bases that develop the hereditary code. An instance of some nitrogen compounds, called alkaloids as a result of their regular properties, Camptothecin is actually a quinoline alkaloid which protects against the DNA chemical topoisomerase I. A considerable objective of the newspaper is actually the reason of the level of sensitivity of heteroaromatic materials.
Effect of Pavement Friction Factors on Skid Resistance of Highway Pavements using Prediction Models
Authors:   Civil and Environment Engineering, Near East University, Nicosia, North Cyprus, Via Mersin 10, Turkey., AL-Othman Dania , Gökçekuş Hüseyin ,   Civil and Environment Engineering, Near East University, Nicosia, North Cyprus, Via Mersin 10, Turkey.
Published: October 2019

There are many features for road pavements, in which the most significant feature is skid resistance. Skid resistance is referred to as the contact (friction) among the pavement surface and automobile tires. Essentially, this feature is vital to guarantee adequate road secureness and it takes a fundamental part during specific climatic conditions. The aim of this research is targeted at distinguishing the primary attributes that impact skid resistance, so that the rates of traffic collisions that occur as a result of insufficient skid resistance specifically in wet climate conditions, are minimized. Throughout this research, designs to calculate the association of surface texture form, automobile velocity, tire type and the type of asphalt mixture on skid resistance were created and applied to evaluate the significance of each attribute as well as enhancing the secureness of roads. Hence, the attributes influencing skid resistance were chosen and evaluated utilizing the SPSS program. Also, the British Pendulum Skid Resistance Tester was utilized in order to evaluate the skid resistance of various surface textures. The outcomes obtained by this study proved that there is a strong association among surface texture, wheel form, type of mixture and automobile velocity, where R2=96.5%. Moreover, the outcomes advocated the necessity of applying operating method designs to minimize duration and exertion as well as computing the influence of these attributes on skid resistance. The ingenuity of this research is in its concept which advocates that the manipulation of skid resistance operation method results in enhanced road security and minimizes collisions, which respectively diminishes fatality rates.