bluuebunny/crossref_metadata_2025 huggingface dataset:
Tambores de historia: música, ritual y memoria en los garífunas de Livingston (Guatemala)
Authors:   , Pérez Guarnieri Augusto
Published: October 2019

La investigación volcada en esta tesis presenta un análisis etnográfico de la vida social del pueblo garífuna de Livingston en el contexto de los procesos de re-etnificación dentro del Estado-nación guatemalteco, identificando su impacto en la práctica ritual del Yurumein público de las fiestas de San Isidro y del Día del Garífuna Guatemalteco. Su objetivo principal es explicar las relaciones entre música, espiritualidad y dinámica identitaria en el mencionado ritual, reconociendo el sistema de producción simbólica que dichas acciones informan. Por medio de un enfoque interpretativo-hermeneútico basado en la antropología de la experiencia, se analizan problemáticas como la pobreza, la economía informal y la marginalización estatal de la población. Seguidamente, se indagan espacios y prácticas de representación y patrimonialización de la tradición oral en relación con la etnogénesis y la memoria colectiva local para luego presentar una descripción densa del Yurumein, estableciendo un diálogo con las referencias académicas sobre este ritual, analizando ambas festividades desde una perspectiva experiencial atenta a la dimensión sonora. En esta tesis se sostiene que las acciones rituales investigadas se configuran como formas de acción política sonoramente organizadas que vehiculizan significados de uso estratégico y, como tales, moldean la identidad garífuna contemporánea de modos diversos.
Tratamientos especiales en el IVA argentino: implicancias sobre la distribución y la eficiencia
Authors:   , Cerisoli María Delfina
Published: October 2019

El Impuesto al Valor Agregado (IVA) es una fuente importante de recursos en Argentina y en la mayoría de los países del mundo. Este trabajo presenta un análisis de las implicancias que tienen las exenciones y reducciones para bienes y servicios de primera necesidad vigentes en el IVA argentino sobre la distribución y la eficiencia. Los resultados muestran que el esquema actual no logra sus objetivos distributivos, ya que no supone una reducción de la desigualdad con respecto a un IVA plano que deje la recaudación equivalente. El análisis de eficiencia, por su parte, muestra que no existen grandes pérdidas de bienestar asociadas al esquema actual de tasas diferenciadas que distorsionan las decisiones de consumo. Esto implica que si bien los tratamientos diferenciales no están justificados desde un punto de vista distributivo, la implementación de un esquema de tasa uniforme en principio no traería aparejadas grandes mejoras en el bienestar agregado.
SHIELDING PROPERTIES OF THE CELLULAR STRUCTURES WITH CARBON-CONTAINING MATERIALS AND FOILED FOAM POLYETHYLENE
Authors: Abdulhadi H. D.A. , Prudnik A. M.
Published: October 2019

The method to produce electromagnetic radiation shields using a non-woven needle-punched fabric containing carbon additives and foamed polyethylene coated with aluminum foil is proposed. To increase the reflection and absorption coefficients, it is proposed to create a cellular structure containing fragments of both types of materials with length from 20 to 40 mm and width from 5 to 8 mm. The measurement of the shielding characteristics was carried out on the automated meter of the transmission and reflection coefficient SNA 0.01–18 in the frequency range 0.7…17.0 GHz. It is shown that the values of the reflection coefficients in the frequency range 0.7…17.0 GHz were –0.5…–4.5 dB and the values of the transmission coefficient of electromagnetic radiation were –4.0…–25.0 dB.
CONCEPTUAL FRAMEWORK OF ANALYSIS OF INFORMATION SECURITY MODELS OF CLOUD SYSTEMS OF THE CLASS «INFRASTRUCTURE AS A SERVICE»
Authors: Olizarovich E. V. , Brazhuk A. I.
Published: October 2019

A process based on the role approach for the synthesis of information security models of cloud computing systems based on applied system and threat models is described; the result is a security model, expressed, for example, in recommendations for improving information security or containing elements of the security configuration. The architecture of the system for analyzing models of information security of cloud computing systems is proposed. It includes a subsystem of analysis and modeling, a knowledge base and a subsystem of integration with external sources of knowledge. The system is model-oriented (detailed, high-level, applied, synthesized) and involves automatic processing of knowledge in the field of vulnerability management and software configuration. It is proposed an approach to solve the problem of constructing hierarchies of architectures models and threat models, realizing a combined analysis of functions and components.
MOVEMENT OF A RELATIVISTIC ELECTRON IN CROSSED ELECTRIC AND MAGNETIC FIELDS
Authors: Kurayev A. A. , Matveyenka V. V.
Published: October 2019

It is shown that the ideas about the electron motion into electric and magnetic crossed fields existing in the modern literature are incorrected. For relativistic velocity case the electron motion can't be imagined by the superposition of the drift with velocity u = E0/B0 and the rotation with frequency  = eB0/m (e, m is charge and mass of relativistic electron). In the relativistic case these motions are not separated, moreover the instantaneous rotation frequency  of relativistic electron is unstable for fixed coordinate system (E0, B0):  depends on m, which varies considerably during rotation.
METHOD OF SUBPIXEL PROCESSING OF HIGH RESOLUTION EDGE DURING CLEARANCE PHOTOSHOP REGISTRATION
Authors: Lapko A. V. , Dedkov A. I.
Published: October 2019

The technique of subpixel processing of the position of the edge with increased resolution when the object is registered for lumen is proposed. Simulation modeling of the results of subpixel registration is carried out on the example of an ideal registration system. The limitations of the system operation in high and low light conditions are established, the conditions of stable operation of the system are formulated. The behavior of the system in the registration of translucent objects is studied, the value of the standard deviation σsub is estimated for the results of modeling the ideal registration system on the 8-bit CCD-line. The estimated calculations of the standard deviation σsub for the 12-bit CCD-line are carried out.
MUTUAL COUPLING INFLUENCE ON PARAMETERS OF CONVEX DOUBLY CURVED ANTENNA ARRAY
Authors: Zavadski S. A. , Yurtsev O. A.
Published: October 2019

In the article the mutual coupling between radiators influence on electrical parameters of convex antenna array with doubly curved radiators placement surface is investigated. Yagi-Uda antennas are used as radiators. The integral equations method is incorporated.
CFD ANALYSIS OF THE AIR FLOW AROUND THE BLADES OF THE VERTICAL AXIS WIND TURBINE
Authors: Gavgali Muhammed Musab , Czyż Zbigniew , Czarnigowski Jacek
Published: October 2019

The paper presents the results of calculations of flow around the vertical axis wind turbine. Three-dimensional calculations were performed using ANSYS Fluent. They were made at steady-state conditions for a wind speed of 3 m/s for 4 angular settings of the three-bladed rotor. The purpose of the calculations was to determine the values of the aerodynamic forces acting on the individual blades and to present the pressure contours on the surface of turbine rotor blades. The calculations were made for 4 rotor angular settings
Study of Smart Antenna Wide Band Multi Beam by Algorithm Switch Beam
Authors: Saragih Yuliarman , Ibrahim  , Elisabet Agatha
Published: October 2019

The use of wideband antennas in radio frequency (RF) systems are intended to improve the efficiency of the system economically. So that problems arise due to differences in RF system frequency allocation in each country can be overcome. Other than that, the need for an antenna that can optimize the direction of the beam becomes one which became a consideration, for that to develop a smart antenna that is capable of producing the different beam. In various studies, wideband antennas have been built only able to work on a single beam. Meanwhile, the antenna has also been proven to be working in multi-beam but still works on a single frequency. The researcher intends to develop an antenna that can work as a smart antenna that applies multi-beam with switching algorithms by having a wide working frequency (wideband). Multi-beam with wideband can be produced by combining wideband antenna array with a Butler matrix that applies the switching beam algorithm with phase array technique so that it can be a smart antenna because the antenna can be adjusted of the beam as desired.
Secure Energy Trade-off Analysis in Wireless Ad-Hoc Networks using Novel Scalable & Secure Management Procedure
Authors:   Research Scholar, GITAM University, Chandolu Sunil , Naidu P.Sanyasi ,   Associate Professor, GITAM University, Sindhe Swetha ,   Assistant Professor, V.C.E
Published: October 2019

Wireless Mobile ad-hoc networks are increased with respect to communication and computation in data transmission between different nodes. Node relay configurations overlay routing is a complex task which improve the properties of routing hierarchy without change basic standards of communication routing scenarios. Sensitivity of different potentials of ad-hoc networks, security concerns is a challenging task in wireless ad-hoc networks. Because of resource limitations present in data management via key scenario with transmission is one of the basic design to support secure data transmission and improve network performance with respect to scalability and efficiency. So that, in this paper, we propose and implement high level security concern i.e. Novel Scalable & Secure Management Schema (NSSMS) for wireless ad-hoc networks. For the first time we extend approach to support unital key-distribution methodology to support high network security formalisms to improve network scalability and key based data sharing probability between different nodes for wireless network communications. Obtained results of proposed approach give better improvement to improve network scalability with overall network performance; we also show significant results with comparison of existing results.
Smart Manhole Toxic Gas Identification and Alerting System
Authors:   Dept. of ECE, Aarupadai Veedu Institute of Technology, Vinayaka Mission’s Research Foundation, Chennai, India., Hema* Dr.L.K. , S Velmurugan ,   Dept. of ECE, Aarupadai Veedu Institute of Technology, Vinayaka Mission’s Research Foundation Chennai, India., Pa Suriya. ,   Dept. of Civil, Aarupadai Veedu Institute of Technology, Vinayaka Mission’s Research Foundation Chennai, India., Indumathi R. ,   Dept. Of ECE, Aarupadai Veedu Institute of Technology, Vinayaka Mission’s Research Foundation Chennai, India.
Published: October 2019

Even nowadays, sewage systems are cleaned by the manual power. Somewhere they recently stated that “More Indians were dying in cleaning sewers than fighting terrorists in Kashmir”. Sewer gas is a composite amalgamation of venomous and non-hazardous gases, which is collected in sewage systems. Predominantly it also comprises that oxide of carbon, sulphur, nitrogen, ammonia and methane due to the decomposition of organic household or industrial wastes. During the maintenance practice, Sewer gases cause the health issues and fatal death to the labors also due to untreated disposal of petroleum products such as gasoline and mineral spirits. To conquer these impacts, in this proposed system, by using a set of integrated sensors MQ-4, MQ-7, MQ137 were incorporated with microcontroller unit process and LCD Display to quantify toxic gases which is produced in the system. It could be recognize the scale of toxicants and then intimated to the workers to acquire the safety precautions before entering into the manholes. The sensing range for the leak detection sensor should be from 300 ppm to 10,000 ppm. In order to reduce the toxic gases concentration, Sprinkler mechanism is provided with the resource chemical for detoxification treatment. Whenever the gas concentration level exceeds the specified threshold level, an actuator mechanism triggers the sprinkler. To upkeep the sewerage system and Prohibiting Manual Scavengers and their Rehabilitation Act, 2013, labors continually taking risk in their health and life. But they were paid for merely low wages. Despite proactive orders of the Supreme Court, the implementation of the directives remains unrealized, in the wake of frequent deaths. In this special episode of Banega Swachh India campaign, we take a look at how these deaths leave the workers’ family devastated and yet no one claims responsibility for the deaths.
Cement Partially Replaced With Fly Ash and Carbon Fiber in Light Weight Concrete
Authors:   Department of Civil Engineering, SRM Institute of Science and Technology, Kattankulatur chennai., Manivel* S. , Kakkanattu Susmita Suresh ,   Department of Civil Engineering, SRM Institute of Science and Technology, Kattankulatur chennai., Potti V Satya Ramesh ,   Department of Civil Engineering, SRM Institute of Science and Technology, Kattankulatur Chennai, Potti V Satya Ramesh ,   Department of Civil Engineering, SRM Institute of Science and Technology, Kattankulatur Chennai
Published: October 2019

Mechanical Strength properties of fiber reinforced light weight concrete are investigated and studied with normal concrete. Four concrete mixes were taken in different percentages of fly ash, carbon fiber and LECA. Fifty-Four cubes (six for each mixes) and Thirty six cylinders (four for each mixes) were tested. The investigation include 7 and 28 days of strength properties of concrete mixes. As the increase in percentage of fly ash and carbon fiber the compressive and split tensile values were decreased and vice versa. Light weight concrete gives low density than conventional concrete. Plastic shrinkage crack decreases with the percentage increase of LECA (Light Weight Expanded Clay Aggregate).
Synthesis of Modified Spent Tea for Aspirin Adsorption in Aqueous Solution
Authors:   School of Chemical and Energy Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, Johor Bahru, Malaysia., Rosli* Norfiona , Ngadi Norzita ,   School of Chemical and Energy Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, Johor Bahru, Malaysia., Azman Muhd Asyiq ,   School of Chemical and Energy Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, Johor Bahru, Malaysia.
Published: October 2019

This present study focuses on the synthesis of a new modified eco-friendly adsorbent, spent tea (ST, discarded Camellia sinensis leaves), and its application in the adsorption of Aspirin from aqueous solution by batch adsorption technique. This is an effort in shifting towards new substitutes that are both inexpensive and highly efficient, such as agricultural waste materials as an alternative of the commonly used adsorbent material, activated carbon. The ST will first undergo an acid treatment using phosphoric acid, and subsequently modified with Polyethyleneimine (PEI) using Glutaraldehyde (GA) as the cross-linker. Aspirin removal efficiency was compared between the untreated spent tea (ST) and new PEI modified acid treated spent tea (TA-PEI). Effects of ratio of acid treated spent tea (TA) and PEI (1:1, 1:2,1:3, 2:1,3:1), and GA concentration (0,0.5,1.0,2.0,3.0, and 4.0 v/v%) were investigated. The optimal conditions for the synthesis of the modified adsorbent, TA-PEI are TA: PEI ratio of 1:2, and 0.5(v/v %) of GA. Afterwards, the untreated ST and TA-PEI were tested to determine the effect of contact time on Aspirin adsorption. It was found that TA-PEI shows great removal effectiveness - up to 64.70% before reaching equilibrium after 30min of contact time. Nevertheless, ST only shows removal of 1% and after 15min, there is no appreciable adsorption. These results suggested that TA-PEI has high potential to be used as an effective adsorbent for Aspirin removal. In the future, TA-PEI will undergo further research to investigate the effects of different adsorbent dosage, solution pH, initial concentration, solution temperature, and contact time. Several analysis (FTIR, SEM, CHNS, BET and point of zero charge) has to be done as well to get a better understanding of its properties and the adsorption mechanisms
A New Technology for Dust Removal from Cotton Processing
Authors:   Professor of Guliston State University, Gulistan, Uzbekistan., Muksin* Khodjiev , Ilkhom Abbazov ,   PhD of Jizzakh Polytechnical Institute, Jizzakh, Uzbekistan., Javlon Karimov ,   Assistant of Guliston State University, Gulistan, Uzbekistan.
Published: October 2019

This article discusses the ways in which technology can be developed in the world. Scientific research is being carried out on a broad range of them to scientifically substantiate and improve them. It is justified on what needs to be considered. According to a study on dust collectors used in ginneries. The dust concentration is based on the relevance of today's dust emissions to the atmospheric dust and the technology of fiber waste removal. To keep fibrous waste from dusty air content. It provides information on the operation mode of the equipment and its geometric parameters to create its technology. When selecting the parameters of the elastic waste disposal system, it is based on the width of the net surface hole, the number of turns of the grass and the length of the net surface. The results of the experiments to prevent aerodynamic resistance of airflow in the removal of fertile waste are given. These parameters, taken as an unwanted parameter, are selected to reduce the impact of dust transport on pneumatic parameters and technological processes. It is based on the obtained parameters that experiments are tested on the basis of test methods and their criteria.The main purpose of the experiment is to prevent loss of speed in the fiber optic clamp. Each experience has a schedule for planning. After each experiment, the total mass of the fibrous mass was detected and the amount of time spent. Improved performance of the enhanced device has been identified. On the basis of the obtained regression equations, the air velocity of the incoming pipe is affected by the width of the net surface of the device. Effects of the air flow in the inlet pipe on the number of rotations of the grass. Furthermore, the graphical results of the air velocity in the unwanted pipe are influenced by the effect of the fibrous waste disposal device on the surface of the net surface. Based on the findings, it is scientifically justified that the fishing gear is primarily due to the loss of fossil waste, ambient air pollution, and improved dust collector efficiency.
7 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Retrieval Number: C3857098319/19©BEIESP DOI:10.35940/ijrte.C3857.098319 Journal Website: www.ijrte.org An Effect of Nutrient Deficiency on Yield Estimation
Authors:   Assistant Professor, Department of Computer Science & Engineerng, Sir M Visvesvaraya Institute of Technology, Bangalore, 562157 India., Shidnal* Sushila , Latte Mrityunjaya V ,   Principal, JSS Academy of Technical Education, Bangalore, 560060 India.
Published: October 2019

By taking corrective measures to improve the farming quality, agricultural sector need a thoroughly explained and systematic theory for crop yield prediction. Any yield of the crop is usually depending on the crop unhealthy and healthy conditions. These conditions mainly occur due to major nutrients like nitrogen, Phosphorus and Potassium (NPK). Nitrogen deficiency will make the fields in some parts look Yellowish. Potassium deficiency may lead to have spots in the leaf and Phosphorous will make the fields some part look brownish. Hence segmenting this defected area is the major challenge to evaluate the total yield in the input paddy field image. The proposed model focus on segmentation of these regions using an efficient hierarchical model. This model uses segmentation methods like FCM and Color segmentation techniques there by improving the accuracy of the system and comparing with the ground truth values.
Forecasting Techniques for Sales of Spare Parts
Authors:   Department of Mechanical Engineering, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, India., A M* Saravanan , S P* Anbuudayasankar ,   Department of Mechanical Engineering, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, India., David P Arul William ,   Vice-President, ELGI Equipment Ltd., Coimbatore., M S Narassima ,   Department of Mechanical Engineering, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, India.
Published: October 2019

Forecasting plays a significant role in planning the future activities of an organization. An effective trade-off is achieved between inventory management and catering demands through an accurate forecast. A detailed study on procurement and planning processes has been conducted in this study. The need for a decision making statistical tool to forecast sales data of spare parts is the main area of focus. Spare part sales pattern remains to be undetermined as it does not follow a specific trend or seasonality. Statistical programming has been performed using ‘R Studio’ to analyse the monthly sales performance. The process is found to improve when a weekly order inflow is considered. ARIMA model is found to improve the accuracy of forecast by 40 percent. Also, accuracy of forecasting performed considering weekly order inflow was higher than that obtained by considering monthly inflow.
Region Based 3D Face Recognition using a Convolutional Neural Network
Authors:   Research scholar, School of Computer Sciences, M G University, Kottayam, Kerala, India,, R* Reji , Lal P Sojan ,   Principal , MBITS, Nellimattam, Kothamangalam, Kerala, India.
Published: October 2019

In this paper we are proposing a compact CNN model for expression insensitive 3D face recognition. 3D face recognition is a trendy interested area in computer vision and is applied in different real time applications. Lots of research work is going on in industry and academia in this area. Traditional machine learning approaches for 3D face recognition is now superimposed by deep neural networks and are trained using large amount of data. We are applying a region based 3D face recognition approach along with a fusion CNN. 15 sub regions are generated from the frontal face region and features are extracted from it. The features extracted from each region are fused using the fusion CNN. These facial features are rich in identification information and they are not represented using single features. Fusions of multiple features extracted from the 15 regions are combined. The set of values extracted from the features after preprocessing are given as input to the CNN. The fusion CNN uses the features from different layers and fuses them together for a prediction as shown in figure1. The lower layer and higher layer features are fused. The computation time of the proposed system is 3.24 s for preprocessing and 0.09 s for matching. The overall computation time is 3.33 s. The running time of our previous region based approaches [13][14] is around 6 .48 seconds and 12 seconds. It is evident that the computation time of our proposed approach stands good and can be applied in time critical security applications. The three major steps are preprocessing, deep feature learning and deep feature classification.
The Influence of Instructor Readiness, IT Capability, Support of LMS Content, and their Implications on E-Learning Effectiveness in a Corporate University of BUMN
Authors:   Information Systems Management Department, Binus Graduate Program – Master of Information Systems Management, Bina Nusantara University, Jl. Kebun Jeruk Raya 27, Jakarta 11480, Indonesia, Legowo* Nilo , Abdurachman Edi ,   Statistics Department, School of Computer Science, Bina Nusantara University , Jl. Kebun Jeruk Raya 27, Jakarta 11480, Indonesia, Herwidiana K. Iman ,   Computer Engineering, Faculty of Engineering, Bina Nusantara University, Jl. Kebun Jeruk Raya 27, Jakarta 11480, Indonesia., Budiastuti Dyah ,   Management Department, BINUS Business School, Doctor of Research in Management, Bina Nusantara University, Jl. Kebun Jeruk Raya 27, Jakarta 11480, Indonesia
Published: October 2019

Education is needed by every individual and organization in improving the knowledge and skills of human resources to support organizational learning, and the learning process can be done in meetings in the classroom or online using IT, commonly known as e-learning. This research aims to identify the role of instructor readiness in supporting e-learning effectiveness and the influence of Support LMS content and IT Capability on perceived usefulness and perceived ease of use to support system acceptance and the success of e-learning. This research employs quantitative method. A questionnaire was distributed to 399 respondents and the unit of analysis is employees who have used the e-learning system of the corporate university. The results of the research can reveal the influence of the readiness of Instructor and Support LMS content on the application of e-learning and how e-learning is used as a learning media for interactions between learners with the instructor. The successful application of e-learning requires the instructor readiness, which includes the mastery of the technological and pedagogical aspects as a requirement of skill in teaching by using LMS. The successful implementation of e-learning effectiveness is strongly influenced by attitude toward using LMS and employee perceptions of support content that can provide benefits and easy to use by participants that will influence the attitude of participants to learn with e-learning system in a corporate university of BUMN.
Probability Voting-based Ensemble of Convolutional Neural nets Classifiers for Image Classification
Authors:   Computer Science Department, BINUS Graduate Program – Doctor of Computer Science, Bina Nusantara University, Jakarta, Indonesia., Sarwo*  , Heryadi Yaya ,   Computer Science Department, BINUS Graduate Program – Doctor of Computer Science, Bina Nusantara University, Jakarta, Indonesia, Budiharto Widodo ,   Computer Science Study Program, School of Computer Science, Bina Nusantara University, Jakarta, Indonesia, Abdurachman Edi ,   Computer Science Department, BINUS Graduate Program – Doctor of Computer Science, Bina Nusantara University, Jakarta, Indonesia
Published: October 2019

This study explores an ensemble technique for building a composite of pre-trained VGG16, VGG19, and Resnet56 classifiers using probability voting-based technique. The resulted composite classifiers were tested to solve image classification problems using a subset of Cifar10 dataset. The classifier performance was measured using accuracy metric. Some experimentation results show that the ensemble methods of pre-trained VGG19-Resnet56 and VGG16-VGG19-Resnet models outperform the accuracy of its individual model and other composite models made of these three models.
Human Fall Detection using Accelerometer and Gyroscope Sensors in Unconstrained Smartphone Positions
Authors:   Computer Science Department, Faculty of Computing and Media, Bina Nusantara University, Jakarta, Indonesia, Astriani* Maria Seraphina , Heryadi Yaya ,   Computer Science Department, BINUS Graduate Program - Doctor of Computer Science, Bina Nusantara University, Jakarta, Indonesia, Kusuma Gede Putra ,   Computer Science Department, BINUS Graduate Program - Master of Computer Science, Bina Nusantara University, Jakarta, Indonesia, Abdurachman Edi ,   Computer Science Department, BINUS Graduate Program - Doctor of Computer Science, Bina Nusantara University, Jakarta, Indonesia
Published: October 2019

This study explored several methods for detecting body falls based on the data captured by the sensors (accelerometer and gyroscope) built in a smartphone carried by a person. The data for this study were collected by recording many sample units from each of the following human activity categories: stand-fall, walk-fall, stand-jump, stand-sit, stand, and walk. Several time-series data captured by the sensors were used as human motion features. One of the challenges of this study was the existence of human body motions whose features resembled those of body falls. In addition, unfixed smartphone positioning made human body falls harder to detect and can lead to high rate of misclassification (not detected as fall). This incident can caused serious bone fracture or even death if the person not handled as immediately as possible because of misclassification. To address this problem, we modified Resultant Acceleration and ∠Y formulas to address the problem of unconstrained smartphone positions. We proposed to combine five methods such as AGVeSR, Alim, ∠α, GyroReDi, and AGPeak to build a robust detector model to reduce the misclassification. The experiment results showed that the accuracy of the combination of both sensors (accelerometer and gyroscope) outperformed the accuracy of accelerometer only by more than 15%. The decision fusion that used voting involving five methods could boost the accuracy rate by up to 4.15%.
Enterprise Architecture Functions for Villages in Indonesia: a Perspective on Indonesia’s Village Law
Authors:   Computer Science Department, BINUS Graduate Program – Doctor of Computer Science, Bina Nusantara University, Jakarta, Indonesia., Putro* Endi , Ranti Benny ,   Computer Science Department, BINUS Graduate Program – Doctor of Computer Science, Bina Nusantara University, Jakarta, Indonesia, Trisetyarso Agung ,   Computer Science Department, BINUS Graduate Program – Doctor of Computer Science, Bina Nusantara University, Jakarta, Indonesia, Leslie Hendric Spits Warnars Harco ,   Computer Science Department, BINUS Graduate Program – Doctor of Computer Science, Bina Nusantara University, Jakarta, Indonesia., Heryadi Yaya ,   Computer Science Department, BINUS Graduate Program – Doctor of Computer Science, Bina Nusantara University, Jakarta, Indonesia, Gaol Ford Lumban ,   Science Department, BINUS Graduate Program – Doctor of Computer Science, Bina Nusantara University, Jakarta, Indonesia.
Published: October 2019

Enterprise Architecture (EA) is often used by organizations as a tool to support for achieving organizational goals. The EA supports achieving organizational goals because of its functions. This paper discusses the results of literature review for the EA function. There are at least three reasons for using EA in organizations: its complexity, external force to change, and the alignment of business with Information Technology (IT). Furthermore, this paper also discusses how the EA functions can offer benefit for the Village Law. The Village Law is a legal product in Indonesia that is used as a legal umbrella to build Indonesia. A proper EA function perspective is needed to build a village supported by information technology.
Design and Development of Water Flow Network using IoT
Authors:   Assistant Professor, Department of CSE, NMAMIT, Nitte,, Rajashree*  , N. Mrs. Shankari ,   Assistant Professor , Department of ECE, NMAMIT, Nitte
Published: October 2019

During the past decades water needs have risen exponentially to an unprecedent- ed scale in India. Due to increase in population, water consumption and water distribution has become critical problem. To triumph over problems related to water supply and for equal distribution of water there is a need for efficient automated device. This paper pro- poses the conceptual design of automated water flow network and distribution system using IoT for highly populated urban areas such as apartments. The system is fully automated with closed loop structure. The heart of proposed design has a microcontroller which ex- tracts and processes the data from electronic flow rate sensors and monitors the flow of wa- ter to each user based on predetermined threshold level. Hence the water is equally distrib- uted among the user according to their needs. IoT provides the information services required for water flow networks.
Direct Converter Based DVR to Mitigate Single Phase Outage
Authors:   Department of Electrical & Computer Engineering, Institute of Technology, University of Gondar, Gondar, Ethiopia,, Rahman* S. Abdul
Published: October 2019

The aim of this paper is to present a new simplified topology for a Dynamic Voltage Restorer (DVR) which has ability to mitigate single phase outage also. The proposed DVR has a multi-winding transformer, a direct converter and a series transformer for each phase. The multi winding transformer is connected between the direct converter and the grid. Only three bi-directional controlled switches are employed per phase. The direct converter is used to synthesis the required compensating voltage and the series transformer is used to add the compensating voltage in grid. The DVR can compensate balanced voltage sag, balanced swell, unbalanced swell and single phase outage by taking power from the grid. For compensating the voltage sag or outage in any one phase, the other two phase voltages are added using the multi winding transformer. The added voltage is pules-width modulated (PWM) using controlled switches to compensate the sag. Swell is compensated by taking power from the same phase. The simulation results confirm that the proposed topology can mitigate balanced sag of 50%, balanced swell of 100%, unbalanced swell of 100% and single phase outage.
Design and Optimization of an Exhaustive Muffler and Experimentation to reduce Emission using Fly ash
Authors:   School of Mechanical and Civil Engineering, MIT Academy of Engineering, Alandi, Pune, Maharashtra, India., Agrawal* Tanmay C. , Malge Dr. Abhijeet M. ,   School of Mechanical and Civil Engineering, MIT Academy of Engineering, Alandi, Pune, Maharashtra, India.
Published: October 2019

Exhaust gases from the combustion of the air-fuel mixture are reduced to non-harmful gases before releasing them into the atmosphere using a catalytic converter. Exhaust muffler or silencer are used to reduce noise and vibrations level due to the expansion of gases. In this research, a novel muffler is designed for 4-stroke, 125cc single-cylinder petrol engine and structural analysis are carried out for optimization using ANSYS Static Structural solver. The muffler is subjected to various pressure loads, acceleration loads, and load due to self-weight. Fatigue analysis is further carried out using stress-life approach and mean Soderberg theory of failures to determine Life, Damage, Safety factor, Biaxiality Indication, and Alternating equivalent stress under dynamic loading. Experimental analysis is carried out using an optimized muffler with fly ash as a catalyst to determine the reduction in emission. Structural analysis of the initial model was optimized by slight modification in design which reduced total deformation from 0.0379 mm to 0.0374 mm and equivalent stress from 52.878 Mpa to 50.969 Mpa. The safety factor was also increased from 1.6302 to 1.6902. Experimental results using Gas analyzer used for emission readings have shown a reduction in the emission of carbon monoxide and hydrocarbons by 21.06% and 23.07% respectively as compared to a standard muffler.
Identification of Potential Groundwater Zone by Remote Sensing and GIS Techniques
Authors:   Civil Engineering Department, Vignan’s Lara Institute of Technology and Science, Guntur, India., Chandramohan* Dr.R. , Vignesh N.Siva ,   Geo analyst, ARS Geomatics, Dindigul, India.
Published: October 2019

Water as one of the natural resources required for the survival of man, animals and plants. Water distributed unevenly on the earth’s surface and below the earth’s surface. Groundwater is one of the original wellsprings of consumable water. Without groundwater, humanity cannot survive in this world. Without any regulation and conditions the groundwater continuously extracted. Due to the continuous extraction of groundwater can cause undesirable environmental consequences. Palani Taluk, India identification of groundwater potential zone is important to overcome the issue. Various thematic maps are used and proper weight and rank has assigned to them for identifying groundwater potential zone. By Remote sensing and GIS tools, study area was labelled as excellent, moderate, good and poor groundwater potential zone.
Evaluation of Enterprise Resource Planning System Based on SAP Financial Accounting Module in PT. Kimia Farma Tbk.
Authors:   Information Systems Department, School of Information Systems, Bina Nusantara University, Jakarta, Indonesia, Hartono* S. , Dwipanilih R. ,   Accounting Information Systems Program, Information Systems Department, School of Information Systems, Bina Nusantara University, Jakarta, Indonesia, Wicaksono A. ,   Accounting Department, BINUS Online Learning, Bina Nusantara University, Jakarta, Indonesia
Published: October 2019

The purpose of this research is to use the ERP system based on SAP with Financial Accounting module at PT. Kimia Farma, Tbk. The research methods used were data and information collection with observation, interviews, questionnaires, literature studies, and analysis with Fit / Gap Analysis methods. SAP Financial Accounting module which has been implemented by PT. Kimia Farma, Tbk is considered to have a degree of fit of 84.6154%, a degree of partiality of 10.2564%, and a degree of gap of 5.12821%. Thus, it is concluded that PT. Kimia Farma, Tbk information system according to the users' requirements in the gap in this research.
Evaluation of Enterprise Resource Planning System Based on SAP Module of Material Management Procurement Function in PT. Kimia Farma Tbk
Authors:   Accounting Information Systems Program, Information Systems Department, School of Information Systems, Bina Nusantara University, Jakarta, Indonesia, Saputra C. G. K. , Hartono S. ,   Information Systems Department, School of Information Systems, Bina Nusantara University, Jakarta, Indonesia, Sari N. ,   Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia
Published: October 2019

The purpose of this study is to evaluate and analyze solutions for problems that identified in the Enterprise Resource Planning SAP based on system Material Management Module on Procurement Function in PT. Kimia Farma Tbk. The evaluation method is fit gap analysis Architectural Approach based on FURPS System Requirement model. The Procurement processes included in this study are Create Purchase Requisition, Create Request for Quotation, Maintain Quotation, Create Purchase Order, Create Goods Receipt and Create Service Entry Sheet. The results in this study are presented as a recommendation to fix the problem based on the evaluation result.
Single Stage 180nm CMOS Low Noise Amplifier Topologies and Optimization Algorithms for S Band Frequency
Authors:   Information and Communication Engineering, Anna University, Chennai, India., D* Jahnavi. , G Kavya. ,   Electronics and Communication Engineering, S.A.Engineering College, Anna University Chennai, India.
Published: October 2019

Low Noise Amplifier (LNA) plays an important role in radio receivers. It mainly determines the system noise and intermodulation behavior of overall receiver. LNA design is more challenging as it requires high gain, low noise figure, good input and output matching and unconditional stability. Further, designing a Low noise Amplifier requires active device selection, amplifier topology, optimization algorithms for superlative results. Hence this paper presents performance analysis of CMOS LNA based on different topologies and optimization algorithms for 180nm RF CMOS design in S band frequency. Here the best results, various limitations in each topology are reviewed and required specifications are determined in each designing. Further this best topology is used for designing LNA circuit which could be used in Indian Regional Navigation Satellite System (IRNSS) applications in dual band frequency.
Predicting Poverty Index using Deep Learning on Remote Sensing and Household Data
Authors:   Department of Computer Science & Engineering, ABES Engineering College, Ghaziabad, U.P., India, Agarwal* Parth , Garg Nandishwar ,   Department of Computer Science & Engineering, ABES Engineering College, Ghaziabad, U.P., India, Singh Pratibha ,   Department of Computer Science & Engineering, ABES Engineering College, Ghaziabad, U.P., India
Published: October 2019

The main challenge for approving and implementing policies aiming at sustainable development of country is correct prediction of socioeconomic condition. Deep learning algorithms in recent researches have been identified as potential resource to be applied in this domain. Another challenge is availability of sufficient amount of data which is solved using transfer learning in Convolutional Neural Network (CNN). We used pre-trained Inception Net-v3 and Ridge regression model to estimate poverty level using publicly available dataset comprising of daylight images, nightlight images and survey data. Each cluster of samples contains households between 1- 28. Its mean is 21.09, median 21 and a standard deviation is 1.36. Proposed deep learning inspired model estimates wealth-score for 28393 clusters with an r value i.e. Pearson Correlation Coefficient of 0.73, signifying r2 value i.e. Coefficient of determination of 0.54. It shows that daytime satellite images, nightlight intensity and demographic data available can be utilized for precise evaluations about the spatial scattering of monetary prosperity crosswise over different nations.
De-Noising of Retinal Image using Crafty Edge Detection (CED)
Authors:   Professor &Head, Department of BCA, Sri Krishna Arts and Science College, Coimbatore., Devi* Dr.M.Renuka , Dharsini B.Harini Priya ,   Part- Time Research Scholar, Department of Computer Science, Bharathiar University Coimbatore
Published: October 2019

In all fields Image processing doing excellent analysis to diagnosis the diseases. Especially image processing is relevant to modern ophthalmology. It is a field that heavily dependent on visual data. In medical filed ophthalmologists used retinal images for diagnostic purpose. So these images frequently need visual enhancement prior to apply a digital analysis for pathological risk or damage detection. In this work we propose a image enhancement techniques to compensate the noise in retinal images. The quality of retinal images affected by various noise and it can be denoised by proposed algorithm Crafty Edge Detection(CED). This new work helps to increase SNR (Signal-to-Noise Ratio) value. Also, Median filter, Gaussian filter, Mean filter, Average and proposed had taken for the comparative study. PSNR and MSE metrics are used to analyze the performance and quality of the retinal image for further processing. Experimental results proved that the proposed filter produce better PSNR (Peak Signal to Noise ratio) and reduces MSE (Mean Square Error) than other filter.
Noise Removal Process from Label Classification using Machine Learning
Authors:   Computer Department, M.E.S College of Engineering, Pune, India., Kotwal Mokshada , Khonde Prof. Shraddha ,   Computer Department, M.E.S College of Engineering, , Pune, India.
Published: October 2019

Text classification and clustering approach is essential for big data environments. In supervised learning applications many classification algorithms have been proposed. In the era of big data, a large volume of training data is available in many machine learning works. However, there is a possibility of mislabeled or unlabeled data that are not labeled properly. Some labels may be incorrect resulted in label noise which in turn regress learning performance of a classifier. A general approach to address label noise is to apply noise filtering techniques to identify and remove noise before learning. A range of noise filtering approaches have been developed to improve the classifiers performance. This paper proposes noise filtering approach in text data during the training phase. Many supervised learning algorithms generates high error rates due to noise in training dataset, our work eliminates such noise and provides accurate classification system.
Condition monitoring of Induction motors through Simulation of Bearing Fault and Air Gap Eccentricity Fault
Authors:   Assistant Professor, Department of Electrical Engineering, YMCAUST, Faridabad, Ms. Priyanka*  , Turk Dr.Neelam ,   Associate Professor, Department of Electrical Engineering, YMCAUST, Faridabad, Dahiya Dr.Ratna ,   Professor, Department of Electrical Engineering, National Institute of Technology Kurukshetra, Haryana (INDIA)
Published: October 2019

Induction motors have an important role in the industry on account of their advantages over other electrical motors. Consequently, there is a huge demand for their safe and sound operation. But it is not free from failures, which result in unnecessary downtimes and create great losses with regards to both revenue and maintenance. For that reason, early fault detection is considered necessary for the safety maintenance of the motor. In the present circumstances, the health monitoring of the induction motors are progressively increasing due to its potential to enhance operating costs, increase the reliability of function and so does the current paper emerge. Also, this paper deals with a novel effective technique for detecting the bearing fault and air gap eccentricity fault of the induction motor. Summarization and analysis of the findings are done based on percentage error and fitness function Value. Comparison results of bad bearing faults and air gap eccentricity are given separately in the paper. The findings of the study concluded that particle swarm optimization (PSO) can be considered as better optimization for bad bearing fault whereas modified particle swarm optimization is concluded as better optimization for air gap eccentricity fault.
An Accession for Image Denoising by Multiple Filter and Correlative Examination for Random Impulse Noise
Authors:   presently as Professor in Department of Computer Science and Engineering, Poojya Doddappa Appa College of Engineering, Kalaburagi., Soma* Dr. Shridevi , S.G. Jyoti ,   pursuing M.Tech. in Computer Science Engineering from Department of CSE at PDACE Kalaburagi , Karnataka, India.
Published: October 2019

Denoising an image is a significant problem in the processing of digital images. Any impulse noise damages the image and the aim of denoising is to remove noise and restore the high-quality image as much as possible. This paper aims to develop a method to discriminate between corrupted and uncorrupted pixels and develop a novel filter to denoise the image. It is also necessary to consider images with different level of noise of various applications to develop an optimal system to remove the noise for further processing. In this paper different filtering techniques such as Median-Filter (MF), Weighted -Median-Filter (WMF),Centre-Weighted Median filter (CWMF), and adaptive centre weighted median filter (ACWMF) are used for denoising, also a novel filter Asymmetric Trimmed Median Filter(ATMF) is designed which outperforms compared to the filters designed earlier. Experimentation is carried by considering the dataset size of 700 noisy images. The average PSNR value of proposed system is 28.12%(DB).
Bandwidth Expansion Mode Under Component Carrier based scheme in LTE Networks
Authors:   Associate Professor, Department of ECE, Koneru Lakshmaiah Education Foundation, Guntur, A.P., Prabakaran* N. , Sravanthi P. ,   P.G Student, Koneru Lakshmaiah Education Foundation, Guntur, A.P.
Published: October 2019

This paper reflects the bandwidth expansion using component carrier scheme in LTE networks by using different OFDM’s i.e. bandwidth allocation algorithm and resource allocation algorithm are observed. Wireless cellular networks are an underlying for mobile phones, personal communication systems etc. There is a dramatic growth of wireless cellular networks in number of mobile phones. As a result, there is a significant increase in base station power consumption and data requirements. In competitive cellular industry, the power consumption in the base station has therefore become a major challenge to the vendors. Through component carrier based scheme the energy efficient LTE networks can be realized and energy efficiency can be improved to some extent through component carrier based scheme.