bluuebunny/crossref_metadata_2025 huggingface dataset:
Escalas espaciales y mecanismos de relajación en líquidos sobreenfriados
Authors:   , Seif Alejandro
Published: August 2019

Tanto en el mundo natural como en el artificial, existen sistemas compuestos únicamente por elementos simples para los que se observan fenómenos de gran complejidad. Nuestro objetivo fue estudiar estos sistemas, mediante modelos lo más sencillos posibles en su formulación, pero que a la vez sean capaces de exhibir un comportamiento complejo. Pusimos nuestro énfasis en fenómenos para los que el sistema comienza a salirse del equilibrio (líquidos sobre-enfriados) y fenómenos en que el sistema se encuentra completamente fuera de equilibrio (partículas autopropulsadas) En el capítulo 2 introdujimos los antecedentes y conceptos relacionados al estudio de la transición vítrea para líquidos sobreenfriados. Se presentaron las características salientes de vidrios, líquidos sobreenfriados y cristales, haciendo hincapié en descripciones de la estructura de estos. En el capítulo 3 presentamos el método Monte Carlo Cinético y nociones técnicas para modelos formadores de vidrios. Luego, en el capítulo 4 presentamos los resultados obtenidos para el modelo de retículo PCTCC. Mostramos un estudio de metaestabilidad y una posible temperatura de Kauzmann T_K. Utilizando el método de tiempos cortos, determinamos una temperatura espinodal termodinámica. Finalmente presentamos un estudio de envejecimiento mediante un exponente de escala para los tiempos de espera. En el capítulo 5, caracterizamos el modelo de retículo t154, e investigamos su dinámica tanto en condiciones de contorno periódicas, así como utilizando una cavidad que lo confina. Realizamos un estudio de su estática y extraemos una longitud de correlación estática. En el capítulo 6 introdujimos los antecedentes y conceptos relacionados al novedoso campo de la materia auto-propulsada. En el capítulo 7, discutimos el uso de Dinámica Molecular y el estudio de efectos de tamaño finito mediante el método de sub-bloques. Los capítulos 8 y 9 presentan los resultados hallados para mezclas binarias de partículas auto-propulsadas con volumen excluido y los efectos de agregar interacciones orientacionales en todas ellas (Capitulo 9). Notamos que las partículas únicamente se diferencian en su velocidad, clasificándolas en rápidas y lentas. Para el caso sin interacción orientacional observamos una transición de segregación al ralentizar a las partículas lentas, detectando presencia de estructura cristalina mediante medidas de funciones de correlación estática. Corroboramos la presencia o ausencia de esta transición mediante un análisis de sub-bloques para un estudio de tamaño finito. Cuando incorporamos interacciones orientacionales, el sistema presenta segregación en una región de parámetros distinta al caso anterior y sin indicios de estructura de largo alcance. Finalmente, presentamos una discusión y conclusiones del trabajo de tesis en el capítulo 10.
Relación del gobierno corporativo y el control familiar con el costo de capital: un análisis para empresas listadas en la Bolsa de Valores de Colombia
Authors:   , Lagos Cortés Diógenes
Published: August 2019

El objetivo de este trabajo es determinar la relación del gobierno corporativo y del control familiar con el costo de capital accionario. Para ello, se usó un enfoque cuantitativo basado en modelos de regresión 2SLS en una muestra de 64 empresas listadas en la Bolsa de Valores de Colombia (BVC) durante el periodo 2008-2014. Los resultados permiten concluir que el gobierno corporativo y el control familiar están relacionados con un menor costo de capital. Específicamente, se encontró que (a) las empresas con mayores mediciones de gobierno corporativo, tanto a nivel general como a nivel de subíndices, presentan menor costo de capital; y (b) las EF presentan menor costo de capital, tanto cuando el primer accionista controlante es una familia o grupo familiar como cuando alguno de estos son los dos primeros accionistas controlantes. Estos resultados son consistentes con la idea de que el gobierno corporativo y el control familiar pueden reducir los problemas de agencia, situación que se traduce en una percepción de riesgo menor que lleva a los accionistas a exigir menos rentabilidad.
Simulación numérica de propagación de ondas en reservorios de hidrocarburos fracturados utilizando el método de elementos finitos
Authors:   , Martínez Corredor Robiel
Published: August 2019

Debido a la importancia del estudio de los yacimientos naturalmente fracturados en la exploración, caracterización y desarrollo de reservorios, esta tesis se enfoca en el contexto de la física numérica de rocas y el modelado de la propagación de ondas en los medios porosos fracturados. Se parte de los conceptos básicos sobre medios porosos y ecuaciones de Biot en el dominio del tiempo y la frecuencia. Se combina esta teoría con distintas caracterizaciones para las fracturas y se desarrolla un algoritmo de propagación de ondas en este tipo de medios mediante la técnica de elementos finitos, usando una malla estructurada y condiciones de borde absorbentes. Esto se hace utilizando elementos rectangulares no conformes, reduciendo así la dispersión numérica. El modelado de los medios porosos fracturados empieza considerando la fractura como una delgada capa porosa, poco resistente y permeable. Los coeficientes de reflexión y transmisión para la misma son calculados para diferentes ángulos de incidencia y rango de frecuencias variando las propiedades del medio y el espesor de la capa. Estos coeficientes son útiles en técnicas como AVO (Amplitud Vs. Offset) donde se tienen en cuenta cambios de fase y de amplitud de la onda al entrar en contacto con diferentes interfaces sísmicas y fluidos porales. Siguiendo con el modelado de medios fracturados se diseña un conjunto de experimentos armónicos de compresión y corte, aplicados a muestras representativas de las formaciones rocosas del subsuelo que contienen un conjunto denso de fracturas de escala mesoscópica orientadas en direcciones preferenciales. Se desarrolla un algoritmo de elementos finitos para calcular los coeficientes de rigidez, la presión de fluido y los efectos de atenuación de estos materiales en función de la frecuencia de análisis, variando las propiedades de las rocas sólidas y los fluidos que las saturan. Mediante ``upscaling'' numérico se realiza la determinación de los coeficientes de las relaciones constitutivas del medio viscoelástico anisótropo equivalente a escala macroscópica. Usando un nuevo modelo para las fracturas, donde éstas se asumen como una condición de borde entre dos medios porosos, se calculan nuevamente los coeficientes de reflexión y transmisión para una onda que incide en la fractura, variando las propiedades de sólidos y fluidos, tanto de la fractura como de su entorno. Usando el método de los elementos finitos se implementa un código para el cálculo de los coeficientes de rigidez, presión de fluido y atenuación, usando experimentos armónicos al igual que con el modelo de capa fina. Por último se utiliza un algoritmo para la propagación de ondas en medios viscoelásticos con elementos finitos, modelando así la respuesta sísmica de las ondas en la macro escala, a partir de los coeficientes de rigidez calculados con los modelos de medios fracturados.
Las doradas manzanas de la ciencia ficción: Francisco Porrúa, editor de Minotauro
Authors:   , Castagnet Martín Felipe
Published: August 2019

En el marco de los estudios sobre la historia de la edición latinoamericana, esta tesis reconstruye y analiza el catálogo de Ediciones Minotauro, editorial fundada por el hispano-argentino Francisco “Paco” Porrúa en 1955, que a lo largo de cincuenta años tuvo un papel clave en la consolidación del género fantástico en castellano. Porrúa leyó la ciencia ficción norteamericana a través del surrealismo francés; a partir de la evolución de esas lecturas, fundó una versión sofisticada del género y luego, en su propio catálogo, lo disolvió en el mainstream, anticipándose a lo que ocurre a nivel internacional en este nuevo siglo.
Modulación de la respuesta inmune innata epitelial por microorganismos potencialmente probiótlcos aislados de kéfir
Authors:   , Romanin David Emmanuel
Published: August 2019

El consumo de kéfir se ha asociado a propiedades promotoras de la salud como efectos antimicrobianos, antitumorales e hipocolesterolémicos entre otros y es utilizado de manera empírica en el Este europeo para el tratamiento de desórdenes gastrointestinales. Nuestro grupo de trabajo ha aislado y caracterizado más de 120 bacterias y levaduras a partir de gránulos de kéfir hasta la fecha y de muchas de ellas se han estudiado las propiedades de resistencia a sales biliares, bajo pH, capacidad de adhesión a células epiteliales in vitro y caracterización de sus componentes de superficie. En el presente trabajo de tesis y proponiendo al kéfir como fuente de microorganismos potencialmente probióticos, se presentarán tres capítulos. En el primero se muestra la caracterización de dichos microorganismos en cuanto a su capacidad modulatoria de la respuesta inmune innata epitelial en un sistema reportero de inflamación in vitro; en el segundo capítulo se expondrá un estudio comparativo de los mecanismos de señalización implicados en la modulación, de manera comparativa entre bacterias y levaduras. Por último, en el tercer capítulo se analizará la posibilidad de aplicar microorganismos moduladores de la respuesta innata epitelial in vitro en modelos murinos de inflamación intestinal. De este modo, se puede resumir la organización racional del trabajo en la selección de microorganismos con propiedad inmunomodulatoria, el estudio mecanístico del efecto de inmunomodulación y la aplicación de estos microorganismos a un modelo de inflamación intestinal in vivo.
Mario Palanti: la búsqueda de una nueva arquitectura
Authors:   , Bonicatto Virginia
Published: August 2019

El hallazgo de material inédito en un archivo privado debe ser uno de los momentos más apasionantes para quienes nos dedicamos (o intentamos) escribir historia. Sobre todo, si ese conjunto de piezas conforma el rastro de alguien que, hasta el momento, prácticamente no había dejado huellas. Si las había, muchas de ellas eran erradas, como la fotografía de un desconocido que varios sitios virtuales muestran con el nombre de Mario Palanti. Desplegado el material, confrontadas, derrumbadas y rearmadas las hipótesis, comienza la difícil tarea de reconstruir en un relato la multiplicidad de fragmentos que componen una trayectoria. Esto significó, en este caso de estudio, construir una historia de vida sobre la cual podamos avanzar con la voluntad de hacer un aporte al conocimiento. El estudio que aquí se inicia centra su interés sobre la producción arquitectónica realizada por Mario Palanti, entendida como parte de una búsqueda personal hacia aquello que el arquitecto concibe como una nueva arquitectura.
Was Wealth Tax Levied in Turkey Between 1942 and 1943 A Crisis?
Authors: ÖZÇELIK Özer , GÜMÜS Öner
Published: August 2019

Wealth tax was levied in Turkey in the period which World War II was on the agenda of the World. Put it differently, economic conditions of Turkey was quite bad. To meet the necessities occuring due to the bad conditions, Turkish government levied this tax. Then, an act known as wealth tax act was released. The amount of this tax was unusual. If taxpayers was to pay this, their wealth would decrease and if they was not to pay, they would be sent to work in general services. So, this application brought a debate about this tax. In this study, whether this tax can be accepted as a crisis or not will be debated within the scope of scholars’s views and wealth tax act. And, the study is ended with the hypothesis that wealth tax was a crisis.
An Evaluation of Tax and Social Security Premium Incentives for Employers in Working Life from the Standpoint of Turkish Laws
Authors: Dundar Aravacik Esra
Published: August 2019

A social state of welfare that procures a variety of economic and social policies for all to grasp some minimal standards of living, needs to inaugurate winning recruitment strategies for effectively tackling the obstacles of employment that thwart steady economic growth. Certain incentives are currently offered by the government for employers to pick, involving some tax exclusions and relief in workers’ social security obligations, in an effort to help creation of new job opportunities, lowering the risk of unemployment and an increase in tendency among youngsters and women toward joining the workforce. These incentives also serve some greater goals such as channelling investments, boosting throughput, forging business owners to achieve better in competition and thereby augmenting the overall competitive power of the country on the international arena, and perseverance of R&D efforts for technological advancement. The incentives pursued in both industrial states and developing countries on employment for economic and social purposes have been transposed to the government practice in Turkey, as well, as part of the ongoing struggle against problems of employment. This study puts the magnifying glass on the current range of tax and insurance incentives for private employers as secured by the Turkish Laws in effect, in the hope of helping a rise in employment rates. It is expected to contribute to the international scholarly literature, in that it encapsulates the legal grounds, scope, durations and conditions of availability of the legislated incentives.
A Review of International Trade Law
Authors: Ashiquzzaman Md.
Published: August 2019

International trade law refers to the import and export of goods and other things between the two countries. For international trade, it is a very important matter in the business sector to know and observe international trade law in details. In this article we will discuss international trade and international trade law. Which is a very important issue in international trade. The aim of this article was to try to discuss all of the international trade issues. This is just a general review of the different aspects of international trade. There can be different laws or customs for a country or a government about international trade that are not discussed here.
Different Periods on Balance of International Payment
Authors: Genta Nuraini Puti , Yulianti Intan
Published: August 2019

The balance of payments, also known as balance of international payments and abbreviated B.O.P. or BOP, of a country is the record of all economic transactions between the residents of the country and the rest of the world in a particular period of time (over a quarter of a year or more commonly over a year). The balance of payments is a summary of all monetary transactions between a country and rest of the world. These transactions are made by individuals, firms and government bodies. Thus the balance of payments includes all external visible and non-visible transactions of a country. It is an important issue to be studied, especially in international financial management field, for a few reasons.
Different Variations of Cost Curve in Economics
Authors: Ab Ghani Hartini
Published: August 2019

In economics, a cost curve is a graph of the costs of production as a function of total quantity produced. In a free market economy, productively efficient firms optimize their production process by minimizing cost consistent with each possible level of production, and the result is a cost curve; and profit maximizing firms use cost curves to decide output quantities. There are various types of cost curves, all related to each other, including total and average cost curves; marginal ("for each additional unit") cost curves, which are equal to the differential of the total cost curves; and variable cost curves. Some are applicable to the short run, others to the long run.
Opinions of Accounting and Taxation Applications Program Students on Accounting Auditing Activities
Authors: KARAHAN Murat
Published: August 2019

This study is designed to evaluate the Accounting and Taxation Program against students' accounting audit activities. In this context, a questionnaire about accounting audit was applied in order to determine the opinions of the students. Moreover, gender information of the students who participated in the survey were also collected. Findings from the questionnaires were analyzed with SPSS v 24.0 package program. At the end of the study, the preliminary judgements about the activities of the auditing of the students who participated in the survey were determined and the precautions to be taken against these prejudices and the trainings to be given were emphasized so that the auditing activities could gain the merit which the accounting professionals deserve. In addition, the changes in responses to questions by age and gender were analyzed comparatively
Components of Public Finance and Public Debt Management
Authors: Scott Mackenzie
Published: August 2019

Economics & Public Finance support topic page covers issues such as macroeconomic stability, fiscal policy, economic growth, public debt, public finance management (including procurement), financial accountability as well as their practical implications for development programmers, in particular budget support operations but also technical cooperation projects.
Global Political Economy and Political Economy Components
Authors: Szczepanski Boguslaw
Published: August 2019

This is an article which includes the nature of political economy. Here the global economy is explained. Here the focuses of political economy is also explained. The components of political economy how related with the traditional economics are also explained. Anyone can know about the nature of power and distinction with political and other types of power through this article.
Vulnerabilities, Attacks and their Mitigation: An Implementation on Internet of Things (IoT)
Authors:   Head, Division of Information Technology, Alakh Prakash Goya Shimla University, Shimla (H.P.) India, Sharma Shamneesh , Manuja Dr. Manoj ,   Vertical Head (IT) iNurture Education Solutions, Banglore, India, Kishore Kshav ,   Associate Professor, Department of Computer Science & Engineering, Alakh Prakash Goyal Shimla University, Shimla (H.P.) India
Published: August 2019

IoT is much-hyped technology in today’s world still it helps us to achieve the goals of ubiquitous computing. Although, there are many challenges in adoption and implementation of IoT based solutions. One of the major challenges is security of IoT products and services. Day after day exposures like Insecure Firmware, Data Protection, Identity Thefts and DoS/DDoS Attack in the field of IoT are being oppressed with malicious objectives so we need to focus on these security issues. A framework of IoT may use many services on a single platform to give a specific applicability to the applications. These services can be sensor fields, cloud computing and data analytics so the security architecture should ensure its measures on each level such as physical access, remote access and secured data access. This paper presents the study on existing attacks and mitigation in IoT Services which enables for finding and patching security vulnerabilities. With the help of machine learning and data analytics, IoT services and security can be made proactive rather than reactive.
A Proposed Method for Prediction of Membranous Nephropathy Disease
Authors:   Research Scholar, Hindusthan college of Arts and Science, Coimbatore, India, Padmavathi K. , Senthilkumar Dr.A.V. ,   Research Scholar, Hindusthan college of Arts and Science, Coimbatore, India Director,PG Research and Computer Applications, Hindusthan college of Arts and Science ,Coimbatore, India
Published: August 2019

Kidney disease is the most prevailing problem in today's world. Gathering knowledge through data analyzing is called data mining which can be widely used in healthcare industry. Medical data mining plays an important role in prediction of the disease. Nephrotic disease is the most challenging disease in day to day life. Membranous nephropathy disease is caused by the immune system of the body. An antibody called PlA2R is found in the kidney. When this antibody reacts with the antigen it causes the disease MN .Patients can lose 10-20gm of protein per day and experience severe disability. Membranous nephropathy is of two types, primary MN and secondary MN .Prediction of PLA2R antibodies plays an important role in Membranous Nephropathy. In this paper it is proposed to analyze the PLA2R antibodies in the patient over a period of time. Based upon the analysis of primary MN prediction can be done. Hypothesis is established in monitoring the PLA2R antibody and it will help in diagnosis and subsequent treatment of the disease Membranous Nephropathy (MN).
Standard Multiple Regression Analysis Model for Cell Survival/ Death Decision of JNK Protein Using HT-29 Carcinoma Cells
Authors:   ECE Department, Jaypee University of Information Technology, Soaln, Himachal Pradesh, India., Jain Shruti , Chauhan D.S. ,   GLA Mathura, Uttar Pradesh, 281406. India
Published: August 2019

Signaling by the JNK protein has been studied for more than decades with various previous reviews covering more specific aspects. For estimating the relationship among variables a statistical technique called Regression analysis (RA) is used. RA is used to determine the correlation among two or more variables. In this paper, a multiple regression analysis is used to assess the most significant contribution of JNK protein using ten different concentrations of TNF, EGF, and Insulin that control the survival/ apoptosis response of HT-29 human colon carcinoma cells. The data is analyzed using Statistica software. Data normality and the outliers were checked by visual method (histograms, box plot and Q-Q plot). Descriptive statistics (mean and standard deviation) and correlation matrix (correlation and covariance between variables) are used to get the best concentration. Standard regression analysis is used to make a model through which analysis of variance, regression coefficient & correlation coefficients were analysed and based on the p-value we come to know that 100-0-500 yields the best concentration level which helps in the analysis the cell survival/ apoptosis of JNK protein that was validated by variable importance plot.
An Efficient Load Balanced Strategy for LTE-WLAN
Authors:   electronics and communication engineering, Vr Siddhartha engineering college, Vijayawada, India, Sireesha K. , Chakravarthy G. ,   electronics and communication engineering, Vr Siddhartha engineering college, Vijayawada, India.
Published: August 2019

With each very little cell LTE and Wi-Fi systems accessible as selections for causing in unauthorised teams (quite five GHz), the examination regarding their concurrence could be a theme of dynamic intrigue, primarily determined by business gatherings. 3GPP has as lately institutionalized LTE authorized assisted Access (LTE-LAA) that tries to form LTE a lot of conjunction unthreatening with Wi-Fi by fusing comparative detective work and back-off highlights. Regardless, the outcomes displayed by business bunches provide very little accord on important problems like separate system parameter settings that advance "reasonable access" PRN by 3GPP. Answers to such key framework causing angles, thusly, need valid diagnostic models, on that there has been very little advancement so far. In like manner, in one in every of the most work of its type, we have a tendency to build up another system for assessing the outturn of Wi-Fi and LTELAA in concurrence things by means that of affordable changes to the discovered Bianchi [1] model.
KNN Classification Based Nonlinear Noise Delineation in Color Image using Optimized BM3D Filter
Authors:   Department of PG Studies, Visvesaraya Technological University, Belgaum, Karnataka, India., Sontakke Mr. Mandar D. , Kulkarni Dr. Meghana ,   Department of PG Studies, Visvesaraya Technological University, Belgaum, Karnataka, India.
Published: August 2019

Image enhancement using optimized methods along with optimized filters is need of current era. A novel technique is proposed in this paper, which have KNN based pixels classifications strategy. This classification is used to identify noise level and only noisy pixels are processed using optimized BM3D using particle swarm optimization. The outside group pixels are brought back into group thereby removing the noise. The process is further followed by resolution enhancement and Retinex for dynamic presentation purpose. The experimentation results are also included in the paper which shows optimum performance.
Numerical Integration of Arbitrary Function over Multidimensional Cubes using Haar Wavelet Method
Authors:   Department of Mathematics, Dayananda Sagar College of Engineering, Bangalore, India, Shivaram K.T. , Kumar N. Mahesh ,   Department of Digital Electronics & Communication, Dayananda Sagar College of Engineering, Bangalore, India., Nikitha S.M. ,   Department of Digital Electronics & Communication, Dayananda Sagar College of Engineering, Bangalore, India., Swathi R.G. ,   Department of Digital Electronics & Communication, Dayananda Sagar College of Engineering, Bangalore, India.
Published: August 2019

In this paper, we investigate numerical integration of arbitrary function over multidimensional cubes by using quadrature method, Haar wavelet method has been used to describe method for multiple integral problems, the high accuracy and wide applicability of the Haar wavelet approach will be illustrated several numerical examples.
Effect of Retrogression and Re-Aging on Fatigue Crack Growth Behavior of Al 7075 Alloy
Authors:   Research scholar Dept of Mechanical Engineering, VTU/ R.L. Jalapa Institute of Technology, Doddaballapur (KA), India., Kumar K Sunil , Murthy Dr P L Srinivasa ,   Dept of Mechanical Engineering, VTU /M.S. Ramaiah Institute of Technology, Bengaluru, India.
Published: August 2019

In this activity I used very familiarly known as two steps heat treatment called RRA is applied on AL 7075 alloy to examine the fatigue behavior. this process includes the various stages of heat treatments includes, annealing, high temperature pre-precipitation, artificial aging (T6), retrogression and re-aging. The specimens are initially heated to 473o & then quenched in water medium .the specimens are further heated to 18hr, 22hr, 26hr respectively .after this specimens are heated 230o, 250o, 270o, 290o with different time intervals 7 & 14 min respectively to enhance the strength of the material this process we call it as retrogression and re-aging .after this conducted experiment and came to know that by using RRA method we can increase the strength of the material to maximum extent.
Design Of High Attenuation and Less Damping Filter for Renewable Energy Source with Parallel Lrc Component
Authors:   Electrical Engineering Department, JEC, Jabalpur, India., Sukriti  , Mohaney Sudeep Kumar ,   Electrical Engineering Department, JEC, Jabalpur, India.
Published: August 2019

Photovoltaic (PV) panel produces a DC voltage as output which is always having random variations which is further required to convert into a constant DC voltage output, a Voltage Source Inverter (VSI) is the required and further another DC to AC VSI convertor required. VSI used Pulse width modulation (PWM) for switching of metal Oxide semiconductor Field Effect Transistor (MOSFET) and a very fast switch cause harmonics in the circuits, which further need to remove by filters. The available filters are good but reducing either the overall efficiency by 2-3 percentage or giving high damp at resonant frequency. that issue must be resolve, proposed work has come up with a new design in which Parallel LCL-R (PLCL-R) type filter which has high efficiency and high attenuation than previous and better response at high frequencies. Proposed design is been developed with help of Matrix laboratories (MATLAB) Simulink design, where power electronics component tool box 'sim-electronics and sim-escape' used. The results of proposed work found better then LCL filter, TRAP filter and other filters of base works.
ANN Based SVC FACTS Controller to Enhance Voltage Stability of Multi-Machine Power System
Authors:   Eee Department, Vlits, Vadlamudi, Guntur, India., Suman M. , Rao M.Venu Gopala ,   Eee Department, Pvpsit, Vijayawada, India., Rao P.V.Ramana ,   Eee Department, Anucet, Guntur, India.
Published: August 2019

Voltage stability is the most vital phenomena in power systems which may be disturbed by the mismatch between the reactive power supply and demand. The occurrence of internal faults in the equipment and short circuit faults also there may be voltage collapse at the buses. Voltage stability can be improved using Static VAR Compensator (SVC) which is a shunt device. It can generate or absorb reactive power in a controlled manner such that it can enhance voltage stability of the system. L- Index method is used to determine voltage sensitivity at each bus and the bus having highest L- index value can be considered as a weak bus which is the optimal location of FACTS controller. The investigation is made to observe how susceptance in susceptance model and firing angle in firing angle model of the SVC is predicted to enhance the voltage at each bus by the artificial neural network under chaotic load. Standard IEEE 5 bus and 30 bus systems are considered as test systems and simulations are performed in MATLAB software.
Electrical Characteristics Assessment on Heterojunction Tunnel FET (HTFET) by Optimizing Various High-κ Materials: HfO2/ZrO2
Authors:   Dept. of Electronics & Communication Engineering, Surendra Institute of Engineering and Management, Maulana Abul Kalam Azad University of Technology, West Bengal, India., Dutta Ritam , Paitya Nitai ,   Dept. of Electronics & Communication Engineering, Sikkim Manipal Institute of Technology, Sikkim Manipal University, Gangtok, Sikkim, India.
Published: August 2019

In this paper, DC performance of double gate tunnel field effect transistor with heterojunction has been assessed by various III-V compound semiconductor materials using 2-D Technology Computer Aided Design (TCAD) simulations. Different hetero high-κ dielectric materials like HfO2, ZrO2 have been incorporated to achieve better electrical characteristics, viz. high ON-state current drivability, improved switching ratio and high tunneling probability. In this work, lower band gap materials have been used as hetero gate dielectric to enhance mobility using band to band tunneling (BTBT), transconductance and steeper subthreshold-slope. The heterojunction TFET (HTFET) then incorporated with various hetero dielectrics (high-κ and low-κ combination), where the ZrO2 – SiO2 combination of dielectric having thickness of 2 nm both in front and back gate, attains maximum value of ION as 1.522 × 10-5 A/μm. The subthreshold swing (ss) has also been recorded best as 23.93 mV/dec in comparison with conventional homo dielectric i.e. SiO2-SiO2 oxide throughout the 50 nm channel of HTFET as 34.22 mV/dec, can serve as better alternative tunnel FETs in low power logic applications.
Building an Effective Intrusion Detection System using combined Signature and Anomaly Detection Techniques
Authors:   K.K Wagh Institute of Engineering Education & Research, Nashik, Savitribai Phule Pune University, India., Kalavadekar Mr. Prakash N. , Sane Dr. Shirish S. ,   K.K Wagh Institute of Engineering Education & Research, Nashik, Savitribai Phule Pune University, India.
Published: August 2019

Intrusion Detection Systems (IDS) are providing better solution to the current issues and thus became an important element of any security infrastructure to detect various threats so as to prevent widespread harm. The basic aim of IDS is to detect attacks and their nature and prevent damage to the computer systems. Several different approaches for intrusion detection have been reported in the literature. These approaches are broadly categorized into three approaches: I) Signature-based approach II) Anomaly based approach and III) Hybrid approach that combines signature and anomaly detection approaches. Hybrid approach has been found to be superior to either signature based or anomaly based approaches. Several different algorithms are available for hybrid approach. This paper suggests the combined approach using signature and anomaly detection techniques. The signature based is build using genetic algorithm as filter based feature selection and J48 as classifier and data mining approach is used to build anomaly based IDS. The performance of combined IDS is evaluated on well known datasets such as KDD Cup 99, UGR 16 and Kyoto 2006+ etc. The experimental results presented here are encouraging and show superiority of combined IDS to detect network anomalies with respect to time required building the model, detection rate, accuracy and false positive rate.
Artifacts Removal of Compressed Digital Images by Linear Enhancement and Filtering
Authors:   EEE Department, Karunya Institute of Technology & Sciences, Coimbatore, India., Chacko Shanty , Josh F. T. ,   EEE Department, Karunya Institute of Technology & Sciences, Coimbatore, India., Jayakumar J. ,   EEE Department, Karunya Institute of Technology & Sciences, Coimbatore, India.
Published: August 2019

Digital images that are compressed by JPEG compression schemes are affected by compression artifacts. The blocking artifacts and the ringing artifacts are the commonly seen compression artifacts. These artifacts need to be removed when we decompress the image for various applications. The objective of this work is to remove these artifacts without degrading the image. These compression artifacts can be reduced by low pass filtering of compressed mages. Low pass filtering of images cause loss of information whereby the images get blurred or the clarity of images get reduced. In this work, compressed image is first enhanced using linear enhancement technique and the resulting enhanced image is filtered using Gaussian type filter. The enhanced artifacts are removed more effectively when filtering is done in the enhanced image domain. After the removal of compression artifacts the linear enhancement is removed by the inverse of the transform which is used for linearly enhancing the image. After the removal of artifacts images will be of good quality which can be used in application areas like analysis medical image, analysis of satellite image, remote sensing and product inspection in industry.
Effectiveness of Information and Communication Technology in Promoting E-Governance in India
Authors:   Assistant Professor, Department of Political Science, The Assam Royal Global University, Assam, India., Borthakur Dr. Partha Protim , Bhuyan Dr. Dip Jyoti ,   Assistant Professor, Department of Political Science, The Assam Royal Global University, Assam, India.
Published: August 2019

E-governance means the utilization of internet and World Wide Web (WWW) for transfer of information and delivery of services from government to citizens. With the growing progress in Information and Communication Technology (ICT) and rise of innovative and creative instruments has also contributed towards the expansion and growth of government activities in the various countries around the world. For the economic and social empowerment of the citizens particularly of the developing countries, the Information and Communication Technology is recognized as an apparatus of development and mechanism of empowerment. Use of Information and Communication Technology in E-governance has created new prospects of innovation and expansion in the activities of the government and delivering services to the citizens. To improve the quality of life and to get faster economic development, the electronic governance takes for granted better importance in the platform of contemporary governmental organizations. In the project of electronic-governance, the various methods and technologies are being used to provide a structure for successful execution of government services up to grassroots level. The growth and development of various nations are mainly based on the utilization of Electronic-Governance with their penetration in contemporary periods. This E-governance has minimized the corruption and saving the time along with increasing the level of transparency in the governmental process and operation. However, the various projects such as e-seva, e-kranthi, smart government and digital India have been launched by the Government of India to execute and support the initiatives of E-governance. This research paper is an effort to examine the initiatives of E-governance which is directly related to citizens. The present work is an attempt to examine whether the latest information and communication technologies can create an important impact to the success of Electronic-governance.
Acidic Control of a Chemical Plant Implementing Non Linear Controllers
Authors:   Electronics and Instrumentation Engineering, 1CVR College of Engineering, Hyderabad, India.., Harivardhagini S.
Published: August 2019

This research work concentrates on developing a non linear control technique using PID control, Fuzzy Logic controller and SMC (Sliding Mode Controller) for acidic control of a chemical plant. This control involves (Variable Structure Control) VSC control. The acidic control process includes a prototype model. This model has two inlets to the sample liquid. The two inlets supply acid and alkaline liquids into a Continuous Stirred Tank Reactor [CSTR]. Both the inflows are controlled in proper proportions, which help to maintain the desired pH of the system. The pH neutralization process is a non linear process; hence VSC serves as a better solution. One type of VSC is the Sliding Mode Control which is applied to this system. Apart from this VSC, both PID control and fuzzy control are incorporated on the same process and the results are furnished. SMC suffers a problem called chattering, but provides reliable results when compared to PID and Fuzzy Logic Controller. This research is done using LabVIEW Software, Hence all the control methods are implemented using the same. Laboratory Virtual Instrumentation Workbench is abbreviated as LabVIEW. The programming done with this software is applied to the prototype system and the results of the controllers are compared and it is found that SMC controller is better suited than PID and fuzzy controllers.
Sentiment Trend Analysis of Big Data
Authors:   CSE, ASET, Amity University, Gwalior, M. P., India, Sandhu Nymphea Saraf , Upadhyay Dr. A. K. ,   CSE, ASET, Amity University, Gwalior, M. P., India., Sharma Dr. Sanjiv ,   CSE & IT, MITS, Gwalior, M. P., India.
Published: August 2019

Various fields like Text Mining, Linguistics, Decision Making and Natural Language Processing together form the basis for Opinion Mining or Sentiment Analysis. People share their feelings, observations and thoughts on social media, which has emerged as a powerful tool for rapidly growing enormous repository of real time discussions and thoughts shared by people. In this paper, we aim to decipher the current popular opinions or emotions from various sources, hence, contributing to sentiment analysis domain. Text from social media, blogs and product reviews are classified according to the sentiment they project. We re-examine the traditional processes of sentiment extraction, to incorporate the increase in complexity and number of the data sources and relevant topics, while re-populating the meaning of sentiment. Working across and within numerous streams of social media, expression of sentiment and classification of polarity is re-examined, thereby redefining and enhancing the realm of sentiment. Numerous social media streams are analyzed to build datasets that are topical for each stream and are later polarized according to their sentiment expression. In conclusion, defining a sentiment and developing tools for its analysis in real time of human idea exchange is the motive.
Developing an Intelligent Quiz System Based on Genetic Algorithm
Authors:   Ho Chi Minh City University of Transport, Vietnam., Huynh Van Kiet , To Ba Lam ,   Ho Chi Minh City University of Transport, Vietnam.
Published: August 2019

In the normal quiz system, all questions are the same. However, the questions of an intelligent quiz system have different difficulty level, different response time, etc. This paper proposed a novel solution based on genetic algorithm (GA) to build an intelligent quiz system. This solution is experimented with website system via PHP and MySQL. The question bank for experiment is input into the system by lecturers. The experimental result obtains very good with the accuracy rate of 95%.
Optimal Fractional Order PID Controller for Centralized and Decentralized Frequency Control in Restructured Power System
Authors:   Department of EEE, B. S. AbdurRahman Crescent Institute of Science and Technology, Vandalur, Chennai, (Tamilnadu), India., Beevi S. Jennathu , Jayashree R. ,   Department of EEE, B. S. AbdurRahman Crescent Institute of Science and Technology, Vandalur, Chennai, (Tamilnadu), India.
Published: August 2019

In this research paper, an attempt has been made to design a Fractional order PID (FOPID) controller employed for centralized and decentralized frequency control in a restructured power system. The controller gains are optimized by Moth Flame Optimization algorithm (MFO), with Integral Time Absolute Error (ITAE) as objective function. The performance of the FOPID controller is compared with that of conventional PID controller under various contract scenarios. It is observed that FOPID as a frequency error damping controller, the steady state and dynamic performance of the proposed power system is enhanced.
Testing Reliable-AODV for Mobile Ad-hoc Network using test-bed architecture
Authors:   E & TC dept., MIT, Aurangabad, India., Khan Mazher Sarfaraz , Ajij Dr. Sayyad ,   E & TC department, Marathwada Institute of Technology, Aurangabad, India.
Published: August 2019

Mobile Ad hoc Network(MANET) provides wireless communication withoutany infrastructure. MANET generally uses a most popular and well-suited routing protocolthat is Ad hoc on Demand Distance Vector (AODV). Random topology and mobilityin MANET cause link break multiple times in network due to which poor link quality thatresults in packet losses in the network. In this paper, link quality improvement in AODV routing protocol is focused. Link quality issue can be resolved through Cross-layer design(CLD) interaction in the OSI communication model. This technique called as Reliable-AODV. CLD is implemented by interacting Physical firstlayer and network third layer of the OSI model, CLDinteraction help in strong route formation inAODV for Reliable-AODV. The result shows an improvement in the system Performance in terms of metricslike throughput, Packet Delivery Ratio(PDR) and reduction in the packet losses, delay ofthe network. Network simulator used for performance analysis is NS-2.a Simulation tool that shows improvement in results. Castadiva Emulator with Wi-Fi routers and laptop are used as test bed architecture for validating sample results of simulations. It is observed that some small variation in the simulated and emulated result by using real-time experimental setup.
An Empirical Software Reliability Growth Model for Identification of True Failures
Authors:   Department of Computer Science and Engineering, GITAM University, Visakhapatnam, (Andhra Pradesh), India,, Medapati Jagadeesh , Jasti Anand Chandulal ,   Department of Computer Science and Engineering, GITAM University, Visakhapatnam, (Andhra Pradesh), India, TV Ranajikanth ,   Department of Computer Science and Engineering, Srinidhi Institute of Technology, Hyderabad, (Telangana), India,
Published: August 2019

Software Reliability is a special topic of software engineering that deals with the finding of glitches during the software development. Effective analysis of the reliability helps to understand the quality of the software. It also helps to reveal the number of failures occurred in development phase which facilitates refinement of the failures in the developed software’s. If the failures are not minimized the number of reviews in the software development process increases which in turn increase the expenditure to develop the software. Every software organization aims at releasing the software in time and also it becomes a mandate to manage the software such that the time to release the software is optimized. It becomes a mandate for any organization to release software patches so as to minimize the errors after software release and thereby if the number of patches increases, the credibility of the software together with the storage area will be at stake. This article presents a novel case study wherein a procedural layout is presented such that the number of failures can be reduced instantaneously and the failures are identified at the early stage. The development procedure laid in this article helps to formulate a basis for the distinction between true failures and non-failures. The work is presented using benchmark datasets and the results showcase a better recognition rate and failure deduction rate.
IoT Based Occupancy Detection using Wireless Controller in a Building/Workspace
Authors:   Professor, Department of Electronics and communication, Sri Jayachamarajendra College of Engineering, Mysuru, Karnataka, India., Mahadevaswamy Dr. U B , M S Gurudutt ,   M.Tech in VLSI Design and Embedded systems, Sri Jayachamarajendra College of Engineering, Mysuru, Karnataka, India.
Published: August 2019

Occupancy of seats/chairs in places like cafeteria, occupancy in meeting room is a key factor in offices having thousands of employees, it is often convenient to know the number of seats occupied in cafeteria and availability of meeting room in IT companies before he/she visits. There is an IoT wave sweeping the technology arena. Internet of Things (IoT) is the amalgamation of all physical nodes using internet as medium. The nodes communicate with each other over internet and allows to control or get controlled by the click of a button. Various sensor in the market can detect occupancy of the seat and the meeting room with low cost systems. The objective of the present paper is to study number of people occupied the seats in cafeteria and displayed occupied and unoccupied seats on web browser for user information, collecting those data for some period and use the data to display seat occupancy at different points of time. The above objective is achieved using shell scripts running on linux machine used to simulate the occupancy of chairs/seats in cafeteria and occupancy of meeting rooms which is communicated to webserver via IoT.
A Better Gauging Model for the Evaluation of Automatic Machine Translation of English – Hindi Language
Authors:   School of Information, Communication and Technology, Gautam Buddha University, Greater Noida, India., Malik Pooja , Y Mrudula ,   Computer Science Department, University at Buffalo, Buffalo, New York, United States of America., Baghel Anurag Singh ,   School of Information, Communication and Technology, Gautam Buddha University, Greater Noida, India.
Published: August 2019

The problem of language translation has prevailed in society for so long. However, up to some extent the problem is being reduced by the online available machine translation systems like Google, Bing, Babelfish, etc. But with the emergence of these Machine Translation Systems, there arises the problem of their validation. Can we trust on such translation systems blindly? Is there no scope of improvement? Are these Machine Translation systems not prone to errors? The answer to all these questions is No. So, for this purpose, we need a mechanism that can test or assess these Machine Translation systems. In this paper, we have proposed an algorithm that will evaluate such Machine Translation systems. Our algorithm is being compared with a very well-known BLEU algorithm that works very well for non-Indian languages. The accuracy of the designed algorithm is evaluated using the standard datasets like Tides and EMILLE.