bluuebunny/crossref_metadata_2025_split huggingface dataset:
An efficient and secure data storage in cloud computing using modified RSA public key cryptosystem
Authors: Kumar Y. Kiran , Shafi R. Mahammad 
Published: October 2019

<span lang="EN-US">Cloud Computing is the ability to improve the utility or train new human resources without investing in new infrastructure, or add capabilities to existence without the latest software licensing. It expanded the capabilities of Information Technology (IT). From the past few years, cloud computing has developed from a good business concept in the best rising sectors of the IT industry. But more information on individuals and companies was put in the cloud, and concerns began to think about how secure the cloud environment was. Despite cloud surrounding structures, enterprise users still do not want to expand their business in the cloud. Security reduces the growth of cloud computing and continues to spread the market with complexity with data privacy and data protection. The security of cloud computing has constantly been an significant aspect of improved quality of service from cloud service providers. Data storage in the cloud has a problem related to data security. However, cloud computing construct many new security challenges which have not been well examine. In order to ensure that the user's data in the cloud is secure, we have proposed an effective mechanism with a distinctive feature of data integrity and privacy. This paper focusing on problems relating to the cloud data storage techniques and security in virtual environment. We recommend a method for providing data storage and security in cloud using public key Cryptosystem, which uses the concept of the modified RSA algorithm to provide better security for the data stored in the cloud. </span>
Design and Realization of Multiplexing System for Fixed/Mobile Next-Generation Broadcasting Service in Network Free Environment
Authors: Woo Y.J. , Park K.W. , Jeon W.G. , Paik J.H. , Kang G.M. , Kwon K.W. 
Published: October 2019

<p>The Current broadcasting enviroment is constally evolving in order to meet the various needs of the viewer such as ColorTV, 3D, HD, UHD TV serivce. And they want to broadcasting the same quality in the fixed and mobile enviroment for high definition braodcasting serive. In this paper, we presnet a design and implementation of muilplexing system for fixed/mobile next generation broadcasting service in network free enivorment. Network free means receive both the broadcasting channel and communication chennel for various TV service. We introduce method to provide next generation convergence broadcating servies based on european standard which can transmit UHD content in network free envieroment. As a result to this paper, we analyze the characteristics of the recieved signal from the commerical receiver device.</p>
Design and Analysis High Gain PHEMT LNA for Wireless Application at 5.8 GHz
Authors: Pongot Kamil , Othman Abdul Rani , Zakaria Zahriladha , Suaidi Mohamad Kadim , Hamidon Abdul Hamid , Hamidon J.S. , Ahmad Azman 
Published: October 2019

This research present a design of a higher gain (66.38dB) for PHEMT LNA using an inductive drain feedback technique for wireless application at 5.8GHz. The amplifier it is implemented using PHEMT FHX76LP transistor devices. The designed circuit is simulated with Ansoft Designer SV. The LNA was designed using T-network as a matching technique was used at the input and output terminal, inductive generation to the source and an inductive drain feedback. The low noise amplifier (LNA) using lumped-component provides a noise figure 0.64 dB and a gain (S<sub>21</sub>) of 68.94 dB. The output reflection (S<sub>22</sub>), input reflection (S<sub>11</sub>) and return loss (S<sub>12</sub>) are -17.37 dB, -15.77 dB and -88.39 dB respectively. The measurement shows the stability was at 4.54 and 3-dB bandwidth of 1.72 GHz. While, the low noise amplifier (LNA) using Murata manufactured component provides a noise figure 0.60 dB and a gain (S<sub>21</sub>) of 66.38 dB. The output reflection (S<sub>22</sub>), input reflection (S<sub>11</sub>) and return loss (S<sub>12</sub>) are -13.88 dB, -12.41 dB and -89.90 dB respectively. The measurement shows the stability was at 6.81 and 3-dB bandwidth of 1.70 GHz. The input sensitivity more than -80 dBm exceeded the standards required by IEEE 802.16.
Network Reconfiguration for Loss Reduction and Voltage Profile Improvement of 110-Bus Radial Distribution System Using Exhaustive Search Techniques
Authors: Mon Myint Su , Win Naing Soe 
Published: October 2019

Nowadays, the electricity demand is increasing day by day and hence it is very important not only to extract electrical energy from all possible new power resources but also to reduce power losses to an acceptable minimum level in the existing distribution networks where a large amount of power dissipation occurred. In Myanmar, a lot of power is remarkably dissipated in distribution system. Among methods in reducing power losses, network reconfiguration method is employed for loss minimization and exhaustive technique is also applied to achieve the minimal loss switching scheme. Network reconfiguration in distribution systems is performed by opening sectionalizing switches and closing tie switches of the network for loss reduction and voltage profile improvement. The distribution network for existing and reconfiguration conditions are modelled and simulated by Electrical Transient Analyzer Program (ETAP) 7.5 version software. The inputs are given based on the real time data collected from 33/11kV substations under Yangon Electricity Supply Board (YESB). The proposed method is tested on 110-Bus, overhead AC radial distribution network of Dagon Seikkan Township since it is long-length, overloaded lines and high level of power dissipation is occurred in this system. According to simulation results of load flow analysis, voltage profile enhancement and power loss reduction for proposed system are revealed in this paper.
Evaluation of PV, Wind, Diesel Hybrid Energy Potential for GSM Tower in Myanmar
Authors: Nyo Zin Mar 
Published: October 2019

Not only GSM, WCDMA but also CDMA technology can be used in Myanmar but GSM pre-dominates in the market. There are over million unique subscribers across the country in 2013. Power supply for telecom becomes main challenges in Myanmar where the electricity can not access in rural area. To minimize deficit of power, the government has set a target to covert some of tower sites to renewable solutions by 2015. This paper proposes the use of a PV, wind and diesel generator hybrid system with storage element in order to determine the optimal configuration of renewable energy in Myanmar. This paper discusses the development of a renewable energy sources (RES) that can be used for electric power supply of GSM base station site at any given time and considers the feasibility of developing Solar (photovoltaic)-Wind-Diesel hybrid power systems for supplying electricity to off-grid rural telecommunication. The Hybrid Optimization Model for Electric Renewables (HOMER) was used to simulate and generate feasible solution through combinations of photovoltaic, Wind Turbines and Diesel Generator with a minimum levelised cost of electricity supply and to determine the technical feasibility of the system.
Effect of Height of the Substrate and Width of the Patch on the Performance Characteristics of Microstrip Antenna
Authors: Mishra R. , Kuchhal P. , Kumar A. 
Published: October 2019

The demand for broad-band antennas has been increased in the recent years. They find to be extensively used in high frequency and high speed data communication. The factors affecting the bandwidth of the microstrip antenna is discussed in this paper. There are two main parameter responsible for the broadening of the antenna. One is the height of the dielectric substrate and another one is the width of the patch. In this paper, we study the performance characteristics of rectangular patch antenna with variable thickness of the substrate and width of the patch. One of the parameter is varied keeping the other fixed and the characteristic effects on resonant frequency, band width and gain are studied.
De-Identified Personal Health Care System Using Hadoop
Authors: Madhavi Dasari , Ramana B.V. 
Published: October 2019

Hadoop technology plays a vital role in improving the quality of healthcare by delivering right information to right people at right time and reduces its cost and time. Most properly health care functions like admission, discharge, and transfer patient data maintained in Computer based Patient Records (CPR), Personal Health Information (PHI), and Electronic Health Records (EHR). The use of medical Big Data is increasingly popular in health care services and clinical research. The biggest challenges in health care centers are the huge amount of data flows into the systems daily. Crunching this Big Data and de-identifying it in a traditional data mining tools had problems. Therefore to provide solution to the de-identifying personal health information, Map Reduce application uses jar files which contain a combination of MR code and PIG queries. This application also uses advanced mechanism of using UDF (User Data File) which is used to protect the health care dataset. De-identified personal health care system is using Map Reduce, Pig Queries which are needed to be executed on the health care dataset. The application input dataset that contains the information of patients and de-identifies their personal health care. De-identification using Hadoop is also suitable for social and demographic data.
Feature Reduction in Clinical Data Classification using Augmented Genetic Algorithm
Authors: Sivasankar Srividya , Nair Sruthi , Judy M.V 
Published: October 2019

<p class="keywords">In clinical data, we have a large set of diagnostic feature and recorded details of patients for certain diseases. In a clinical environment a doctor reaches a treatment decision based on his theoretical knowledge, information attained from patients, and the clinical reports of the patient. It is very difficult to work with huge data in machine learning; hence to reduce the data, feature reduction is applied. Feature reduction has gained interest in many research areas which deals with machine learning and data mining, because it enhances the classifiers in terms of faster execution, cost-effectiveness, and accuracy. Using feature reduction we intend to find the relevant features of the data set. In this paper, we have analyzed Modified GA (MGA), PCA and combination of PCA and Modified Genetic algorithm for feature reduction. We have found that correctly classified rate of combination of PCA and Modified Genetic algorithm higher compared to other feature reduction method.</p>
Predictable Models and Experimental Measurements for Electric Properties of Polypropylene Nanocomposite Films
Authors: Thabet Ahmed , Mobarak Youssef A. 
Published: October 2019

<span>This paper processed and characterized cost-fewer polypropylene (PP) nanocomposite films; an experimental work has been investigated for studying the electric properties of the new nanocomposite materials and compared with unfilled industrial materials in a frequency range up to 1 kHz. A small addition of nanoparticles (clay, and fumed silica) to polypropylene showed appreciable improvement in the electric reactance and conductance at different frequency up to 1kHz, in addition, an electric spectroscopy has been measured the electric properties of polypropylene with and without nanoparticles under variant temperatures (20°C, and 60°C). Cambridge Engineering Selector (CES) program were carried out the electrical/mechanical predictable models for the suggested materials. Finally, this paper leads to synthesize electrical insulating polypropylene nanocomposite films where the electrical properties are properly maintained in order to achieve more cost-effective, energy-effective and hence environmentally better materials for the electrical insulation technology.</span>
Implementing Dynamically Evolvable Communication with Embedded Systems through WEB Services
Authors: Jammalamadaka Sasi Bhanu , A Vinaya Babu , A Trimurthy 
Published: October 2019

<p>Embedded systems that monitor and control safety and mission critical system are communicated with by a HOST located at a remote location through Internet. Such kind of embedded systems are developed to be dynamically evolvable with respect to syntax, semantics, online testing and communication subsystems. All these systems are to be dynamically evolvable and the components needed for evolution are also to be added into the embedded system. Architectural models describe various components using which dynamically evolvable sub-systems are realised through implementation by using specific and related technologies. Implementation system describe the platform, code units and the interlacing of various processes/tasks to the elementary level of details. WEB services place an excellent platform for implementing dynamically evolvable systems due to the use of open standards.</p><p> </p><p>This paper presents an implementation system that is related to dynamically evolvable communication and other sub-systems using web services technologies.</p>
High Performance Control of Grid Connected Cascaded H-Bridge Active Rectifier Based on Type II-Fuzzy Logic Controller with Low Frequency Modulation Technique
Authors: Dabbaghjamanesh M. , Moeini A. , Ashkaboosi M. , Khazaei P. , Mirzapalangi K. 
Published: October 2019

This paper tries to employ a fuzzy logic (FL) controller type II to control the Cascaded H-Bridge (CHB) active rectifier. This controller has strong performance, specially, when a low switching frequency Selective Harmonic Elimination (SHE) method is used. In order to regulate all of the DC link voltages, the optimum voltage balancing strategy in the low frequency modulation technique is used in the proposed method. Finally, the performance and effectiveness of the proposed method is validated in MATLAB environment. All the simulation and result has been simulated by MATLAB software.
Novel ROADM modelling with WSS and OBS to Improve Routing Performance in Optical Network
Authors: G.R Kavitha , T.S Indumathi 
Published: October 2019

<span>The area of optical network is on constant point of focus among the research communities owing to potential advantage of long distance communication as well as the routing issues associated with it. Majority of the implemented techniques calls for using expensive hardware or adopting narrowed technical assumptions, for which reason the routing performance couldn’t be optimized to a large extent. The present manuscript proposes a novel technique called as Optimized Routing for Peak Traffic under the scenario of uncertainties in the existing traffic scenario. The proposed solution presents some potential principle that is incorporated in the ROADM design for enhancing the capabilities of the proposed system. The system is evaluated under multiple scenarios of analysis using blocking probabilities, OSNR, bit error rate, iteration etc. The outcome of the proposed system is compared with the one of the existing significant study to benchmark it.</span>
Novel ROADM modelling with WSS and OBS to Improve Routing Performance in Optical Network
Authors: G.R. Kavitha G.R , T.S. Indumathi 
Published: October 2019

The area of optical network is on constant point of focus among the research communities owing to potential advantage of long distance communication as well as the routing issues associated with it. Majority of the implemented techniques calls for using expensive hardware or adopting narrowed technical assumptions, for which reason the routing performance couldn’t be optimized to a large extent. The present manuscript proposes a novel technique called as Optimized Routing for Peak Traffic under the scenario of uncertainties in the existing traffic scenario. The proposed solution presents some potential principle that is incorporated in the ROADM design for enhancing the capabilities of the proposed system. The system is evaluated under multiple scenarios of analysis using blocking probabilities, OSNR, bit error rate, iteration etc. The outcome of the proposed system is compared with the one of the existing significant study to benchmark it.
Performance Analysis of Digital Modulation for Coherent Detection of OFDM Scheme on Radio over Fiber System
Authors: Khair Fauza , Hario P Fakhriy , Mustika I Wayan , Setiyanto Budi 
Published: October 2019

Radio over fiber (RoF) system with the coherent detection offers high linearity for the transparent transport of high-frequency microwave signals, and better receiver sensitivity compared with intensity-modulated direct detection systems. The purpose of this paper is to analyze the performance of digital modulation for coherent detection of orthogonal frequency division multiplexing (OFDM) scheme on RoF system at 10 Gbps up to 100 km fiber length. The results show that coherent detection of OFDM-RoF system with 16 quadrature amplitude modulation (16-QAM) has the value of bit error rate (BER) and the symbol error rate (SER) is very low and its constellation is better compared with other modulation formats (4-QAM, quadrature phase shift keying (QPSK), 8-PSK and 16-PSK), which BER 16-QAM is 0.053 and SER is 15.7%. The results also show that BER value of 4-QAM and QPSK relatively similar to fiber length variations. In general, an increasing value of the BER and SER for each modulation format are almost equal to the fiber length of 60-70 km (Region I and II). However, there is a significant increase in the value of BER in fiber length of 80-100 km (Region III. A and III. B) for the modulation of 4-QAM, QPSK, 8-PSK, and 16-PSK.
Machine Learning Techniques on Multidimensional Curve Fitting Data Based on R- Square and Chi-Square Methods
Authors: P Vidyullatha , Rao D. Rajeswara 
Published: October 2019

<p>Curve fitting is one of the procedures in data analysis and is helpful for prediction analysis showing graphically how the data points are related to one another whether it is in linear or non-linear model. Usually, the curve fit will find the concentrates along the curve or it will just use to smooth the data and upgrade the presence of the plot. Curve fitting checks the relationship between independent variables and dependent variables with the objective of characterizing a good fit model. Curve fitting finds mathematical equation that best fits given information. In this paper, 150 unorganized data points of environmental variables are used to develop Linear and non-linear data modelling which are evaluated by utilizing 3 dimensional ‘Sftool’ and ‘Labfit’ machine learning techniques. In Linear model, the best estimations of the coefficients are realized by the estimation of R- square turns in to one and in Non-Linear models with least Chi-square are the criteria. </p>
Design of Observer-Based Robust Power System Stabilizers
Authors: Soliman Hisham M. , Soliman Mahmoud 
Published: October 2019

<p>Power systems are subject to undesirable small oscillations that might grow to cause system shutdown and consequently great loss of national economy. The present manuscript proposes two designs for observer-based robust power system stabilizer (PSS) using Linear Matrix Inequality (LMI) approach to damp such oscillations. A model to describe power system dynamics for different loads is derived in the norm-bounded form. The first controller design is based on the derived model to achieve robust stability against load variation. The design is based on a new Bilinear matrix inequality (BMI) condition. The BMI optimization is solved interatively in terms of Linear Matrix Inequality (LMI) framework. The condition contains a symmetric positive definite full matrix to be obtained, rather than the commonly used block diagonal form. The difficulty in finding a feasible solution is thus alleviated. The resulting LMI is of small size, easy to solve. The second PSS design shifts the closed loop poles in a desired region so as to achieve a favorite settling time and damping ratio via a non-iterative solution to a set of LMIs. The approach provides a systematic way to design a robust output feedback PSS which guarantees good dynamic performance for different loads. <span style="font-size: 10px;">Simulation results based on single-machine and multi-machine power system models verify the ability of the proposed PSS to satisfy control objectives for a wide range of load conditions.</span></p>
An Unsupervised Classification Technique for Detection of Flipped Orientations in Document Images
Authors: CS Vijayashree , Rani Shobha , T Vasudev 
Published: October 2019

<table width="593" border="1" cellspacing="0" cellpadding="0"><tbody><tr><td valign="top" width="387"><p>Detection of text orientation in document images is of preliminary concern prior to processing of documents by Optical Character Reader. The text direction in document images should exist generally in a specific orientation, i.e., text direction for any automated document reading system. The flipped text orientation leads to an unambiguous result in such fully automated systems. In this paper, we focus on development of text orientation direction detection module which can be incorporated as the perquisite process in automatic reading system. Orientation direction detection of text is performed through employing directional gradient features of document image and adapts an unsupervised learning approach for detection of flipped text orientation at which the document has been originally fed into scanning device. The unsupervised learning is built on the directional gradient features of text of document based on four possible different orientations. The algorithm is experimented on document samples of printed plain English text as well as filled in pre-printed forms of Telugu script. The outcome attained by algorithm proves to be consistent and adequate with an average accuracy around 94%.</p></td></tr></tbody></table>
Sliding-Mode Controller Based on Fractional Order Calculus for a Class of Nonlinear Systems
Authors: Bouarroudj Noureddine , Boukhetala Djamel , Boudjema Fares 
Published: October 2019

<p>This paper presents a new approach of fractional order sliding mode <br />controllers (FOSMC) for a class of nonlinear systems which have a single input and two outputs (SITO). Firstly, two fractional order sliding surfaces S1 and S2 were proposed with an intermediate variable z transferred from S2 to S1 in order to hierarchy the two sliding surfaces. Secondly, a control law was determined in order to control the two outputs. A sliding control stability condition was obtained by using the properties of the fractional order calculus. Finally, the effectiveness and robustness of the proposed approach were demonstrated by comparing its performance with the one of the conventional sliding mode controller (SMC), which is based on integer order derivatives. Simulation results were provided for the cases of controlling a ball-beam and inverted pendulum systems.</p>