bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study of Wind Turbine based Variable Reluctance Generator using Hybrid FEMM-MATLAB Modeling
Authors: Benamimour Tariq , Bentounsi Amar , Djeghloud Hind 
Published: October 2017

Based on exhaustive review of the state of the art of the electric generators fitted to Wind Energy Conversion System (WECS), this study is focused on an innovative machine that is a Variable Reluctance Generator (VRG). Indeed, its simple and rugged structure (low cost), its high torque at low speed (gearless), its fault-tolerance (lowest maintenance), allow it to be a potential candidate for a small wind power application at variable wind speed. For better accuracy, a finite element model of a studied doubly salient VRG is developed using open source software FEMM to identify the electromagnetic characteristics such as linkage flux, torque or inductance versus rotor position and stator excitation. The obtained data are then transferred into look-up tables of MATLAB/Simulink to perform various simulations. Performance of the proposed wind power system is analyzed for several parameters and results are discussed.
An Improved Detection and Classification Technique of Harmonic Signals in Power Distribution by Utilizing Spectrogram
Authors: Jopri M.H. , Abdullah A.R. , Manap M. , Yusoff M.R. , Sutikno T. , Habban M.F. 
Published: October 2017

This paper introduces an improved detection and classification technique of harmonic signals in power distribution using time-frequency distribution (TFD) analysis which is spectrogram. The spectrogram is an appropriate approach to signify signals in jointly time-frequency domain and known as time frequency representation (TFR). The spectral information of signals can be observed and estimated plainly from TFR due to identify the characteristics of the signals. Based on rule-based classifier and the threshold settings that referred to IEEE Standard 1159 2009, the detection and classification of harmonic signals for 100 unique signals consist of various characteristic of harmonics are carried out successfully. The accuracy of proposed method is examined by using MAPE and the result show that the technique provides high accuracy. In addition, spectrogram also gives 100 percent correct classification of harmonic signals. It is proven that the proposed method is accurate, fast and cost efficient for detecting and classifying harmonic signals in distribution system.
Design and Analysis System of KNN and ID3 Algorithm for Music Classification based on Mood Feature Extraction
Authors: Sudarma Made , Harsemadi I Gede 
Published: October 2017

Each of music which has been created, has its own mood which is emitted, therefore, there has been many researches in Music Information Retrieval (MIR) field that has been done for recognition of mood to music. This research produced software to classify music to the mood by using K-Nearest Neighbor and ID3 algorithm. In this research accuracy performance comparison and measurement of average classification time is carried out which is obtained based on the value produced from music feature extraction process. For music feature extraction process it uses 9 types of spectral analysis, consists of 400 practicing data and 400 testing data. The system produced outcome as classification label of mood type those are contentment, exuberance, depression and anxious. Classification by using algorithm of KNN is good enough that is 86.55% at k value = 3 and average processing time is 0.01021. Whereas by using ID3 it results accuracy of 59.33% and average of processing time is 0.05091 second.
Control of an Autonomous Hybrid Microgrid as Energy Source for a Small Rural Village
Authors: Lampiao Americo Joaquim , Senjyu Tomonobu , Yona Atsushi 
Published: October 2017

<p align="LEFT">Nowadays, the exhaustion of electricity power in rural areas is becoming an important issue for many African Nations. Moreover, challenges include the high cost of extending the power grid to these locations, the economic health of the utilities and lack of revenue in impoverished villages. Numerous new initiatives are being implemented in the countries some of them co-financed by international organizations. In this paper, the hybrid microgrid is carried out as a feasible solution for a small rural village. A model of hybrid microgrid consisting of combination of photovoltaic (PV) panels and battery energy storage (BES) and a control system for managing the components of entire system to feed the village as local load is proposed. The control system must avoid the interruptions of power delivered to the consumers (village) and, therefore, good quality and reliability of system is required. The PI controllers are used to regulate the voltage and current using three-phase <span style="font-family: Times New Roman;">dq </span>transformation, while the parameters are determined using Ziegler-Nichols tuning method. The effectiveness of the proposed method is verified by simulation results given by the Matlab/SimPowerSystems environment.</p><p align="LEFT"> </p><p align="LEFT"> </p>
The Correlation between Surface Tracking and Partial Discharge Characteristics on Pressboard Surface Immersed in MIDEL eN
Authors: Othman Nur Amirah , Zainuddin Hidayat , Aman Aminuddin , Abd Ghani Sharin , Sutan Chairul Imran 
Published: October 2017

This paper presents the investigation of the surface tracking on pressboard surface immersed in MIDEL eN oil. In this work, the development of surface discharge was analyzed by correlating the visual records of surface tracking on impregnated pressboard and the partial discharge (PD) activities. The PD activities during the surface tracking process were analyzed in terms of Phase Resolved Partial Discharge (PRPD) patterns. Throughout the experiment, surface discharge is found as the development of tree-like patterns in the form of white marks occurring on the oil-pressboard interface. This phenomenon is generally accepted as the drying out process that involves evaporation and decomposition of the oil molecules in the pressboard pores due to the surface discharge activities on the pressboard surface layer. The development of surface discharge on the pressboard surface can continue from minutes to months or even years until failure. Thus, condition monitoring system is important to characterize this type of faulty condition. The experimental results show that there is the decreasing trend of PD magnitude during the development of white mark hallway of a gap distance which is eventually suffered from an unexpected fault.
A New Instrumentation Amplifier Architecture Based on Differential Difference Amplifier for Biological Signal Processing
Authors: Abidin Zainul , Tanno Koichi , Mago Shota , Tamura Hiroki 
Published: October 2017

<p>In this paper, a new Instrumentation Amplifier (IA) architecture for biological signal pro-cessing is proposed. First stage of the proposed IA architecture consists of fully balance differential difference amplifier and three resistors. Its second stage was designed by using differential difference amplifier and two resistors. The second stage has smaller number of resistors than that of conventional one. The IA architectures are simulated and compared by using 1P 2M 0:6-m CMOS process. From HSPICE simulation result, lower common-mode voltage can be achieved by the proposed IA architecture. Average common-mode gain (Ac) of the proposed IA architecture is 31:26 dB lower than that of conventional one under 3% resistor mismatches condition. Therefore, the Ac of the proposed IA architecture is more insensitive to resistor mismatches and suitable for biological signal processing.</p>
Size Reduction and Gain Enhancement of a Microstrip Antenna using Partially Defected Ground Structure and Circular/Cross Slots
Authors: N. Tawfeeq Nada 
Published: October 2017

Microwave engineers have been known to designedly created defects in the shape of carved out patterns on the ground plane of microstrip circuits and transmission lines for a long time, although their implementations to the antennas are comparatively new. The term Defected Ground Structure (DGS), precisely means a single or finite number of defects. At the beginning, DGS was employed underneath printed feed lines to suppress higher harmonics. Then DGS was directly integrated with antennas to improve the radiation characteristics, gain and to suppress mutual coupling between adjacent elements. Since then, the DGS techniques have been explored extensively and have led to many possible applications in the communication industry. The objective of this paper is to design and investigate microstrip patch antenna that operates at 2.4 GHz for Wireless Local Area Network WLAN IEEE 802.11b/g/n, ,Zigbee, Wireless HART, Bluetooth and several proprietary technologies that operate in the 2.4 GHz band. The design of the proposed antenna involves using partially Defected Ground Structure and circular/cross slots and compare it to the traditional microstrip patch antenna. The results show improvement in both the gain of 3.45 dB and the S11 response of -22.3 dB along with reduction in the overall dimensions of the antenna. As a conclusion, the performance of the antenna has been improved through the incorporation with the DGS and slots structures regarding the S11 response and the gain. The proposed antenna become more compact. Finally, the radiation pattern of proposed antenna has remained directional in spite of adding slots on the ground plane.
Hybrid Cryptography for Random-key Generation based on ECC Algorithm
Authors: Gayathri P. , Umar Syed , Sridevi G. , Bashwanth N. , Srikanth Royyuru 
Published: October 2017

As more increase in usage of communications and developing them more user friendly. While developing those communications, we need to take care of security and safety of user’s data. Many researchers have developed many complex algorithms to maintain security in user’s application. Among those one of the best algorithms are cryptography based, in which user will be safe side mostly from the attackers. We already had some AES algorithm which uses very complex cryptographic algorithm to increase the performance and more usage of lookup tables. So the cache timing attackers will correlates the details to encrypt the data under known key with the unknown key. So, for this we provide an improvised solution. This paper deals with an extension of public-key encryption and decryption support including a private key. The private key is generated with the combination of AES and ECC. In general AES, key length is 128 bits with 10 times of iterations. But with this, users won’t get efficient security for their operations, so to increase the security level we are implementing 196-bit based encryption with 12 times round-key generation iterations. By this enhancement, we can assure to users to high level security and can keep users data in confidential way.
A Survey on Security Aspects of Server Virtualization in Cloud Computing
Authors: Sri Nagesh O , Kumar Tapas , Vedula Venkateswara Rao 
Published: October 2017

Significant exploitation and utilization of cloud computing in industry is come with and in the identical time vulnerable by unease regarding protection of data hold by cloud computing providers. One of the penalties of moving data processing and storage off business site is that organizations have fewer controls over their infrastructure. seeing that, cloud service (CS) providers must hope that the CS provider is capable to protect their data and infrastructure from both exterior and domestic attacks. Presently however, such hope can only rely on organizational procedures stated by the CS provider and cannot be remotely verified and validated by an external party. The central distinction between cloud computing and conventional enterprise internal Information Technology services is that the proprietor and the consumer of cloud Information Technology infrastructures are separated in cloud. This transform requires a safety responsibility severance in cloud computing. Cloud service providers (CSP) should safe the services they propose and cannot surpass the customers’ authorities. Virtualization is a buildup utterance in the Information Technology world. With the assure to reduce the ever mounting infrastructure inside data centers connected to other important apprehensions such as ease of use and scalability, virtualization technology has been in advance recognition not only with IT experts yet also among administrators and executives as well. The progressively more growing rate of the approval of this technology has exposed these systems to new protection concerns which in recent history have been unnoticed or merely overlooked. This paper presents an in depth state of art gaze at present most old server virtualization explanations, as well as a writing study on different security matters found inside this virtualization technology. These problems can be practical to all the existing virtualization technologies accessible with no spotlight on a specific answer. Nevertheless, we do susceptibility investigation of two of the mainstream recognized virtualization answers: VMware ESX and Xen. to conclude, we illustrate some clarifications on how to progress the security of online banking and electronic commerce, using virtualization.
A Novel Method based on Gaussianity and Sparsity for Signal Separation Algorithms
Authors: Houda Abouzid , Otman Chakkor 
Published: October 2017

Blind source separation is a very known problem which refers to finding the original sources without the aid of information about the nature of the sources and the mixing process, to solve this kind of problem having only the mixtures, it is almost impossible , that why using some assumptions is needed in somehow according to the differents situations existing in the real world, for exemple, in laboratory condition, most of tested algorithms works very fine and having good performence because the nature and the number of the input signals are almost known apriori and then the mixing process is well determined for the separation operation. But in fact, the real-life scenario is much more different and of course the problem is becoming much more complicated due to the the fact of having the most of the parameters of the linear equation are unknown. In this paper, we present a novel method based on Gaussianity and Sparsity for signal separation algorithms where independent component analysis will be used. The Sparsity as a preprocessing step, then, as a final step, the Gaussianity based source separation block has been used to estimate the original sources. To validate our proposed method, the FPICA algorithm based on BSS technique has been used.
A Proposal for End-to-End QoS Provisioning in Software-Defined Networks
Authors: Lucrezia Francesco , Marchetto Guido , Risso Fulvio , Santuari Michele , Gerola Matteo 
Published: October 2017

This paper describes a framework application for the control plane of a network infrastructure; the objective is to feature end-user applications with the capability of requesting at any time a customised end-to-end Quality-of-Service profile in the context of dynamic Service-Level-Agreements. Our solution targets current and future real-time applications that require tight QoS parameters, such as a guaranteed end-to-end delay bound. These applications include, but are not limited to, health-care, mobility, education, manufacturing, smart grids, gaming and much more. We discuss the issues related to the previous Integrated Service and the reason why the RSVP protocol for guaranteed QoS did not take off. Then we present a new signaling and resource reservation framework based on the cutting-edge network controller ONOS. Moreover, the presented system foresees the need of considering the edges of the network, where terminal applications are connected to, to be piloted by distinct logically centralised controllers. We discuss a possible inter-domain communication mechanism to achieve the end-to-end QoS guarantee.
A Deconvolution Approach to the Three Dimensional Identification of Cracks in Magnetic Slabs
Authors: A. Adly Amr , K. Abd-El-Hafiz Salwa 
Published: October 2017

Nondestructive assessment of cracks in metallic parts has always been a topic of industrial interest. In the past, different approaches have been proposed to assess such cracks. Recently, semi-orthogonal compactly supported spline wavelets were utilized to efficiently identify the 3D spatial location of cracks in conducting slabs of finite thicknesses. Within this proposed approach a horizontally oriented field sensor is employed on top of a magnetic slab subject to uniform horizontal magnetic field. In this paper the 3D spatial identification of cracks in conducting slabs is carried out through the Fourier transform by de-convoluting sensor response. In comparison to the previously adopted approach, the approach proposed in this paper is capable of identifying cracks that span over a relatively larger distance. Details of the crack detection methodology and simulations are given in the paper.
A Systematic Mapping Review of Software Quality Measurement: Research Trends, Model, and Method
Authors: Wahyuningrum Tenia , Mustofa Khabib 
Published: October 2017

Software quality is a key for the success in the business of information and technology. Hence, before be marketed, it needs the software quality measurement to fulfill the user requirements. Some methods of the software quality analysis have been tested in a different perspective, and we have presented the software method in the point of view of users and experts. This study aims to map the method of software quality measurement in any models of quality. Using the method of Systematic Mapping Study, we did a searching and filtering of papers using the inclusion and exclusion criteria. 42 relevant papers have been obtained then. The result of the mapping showed that though the model of ISO SQuaRE has been widely used since the last five years and experienced the dynamics, the researchers in Indonesia still used ISO9126 until the end of 2016.The most commonly used method of the software quality measurement Method is the empirical method, and some researchers have done an AHP and Fuzzy approach in measuring the software quality.
Dielectrophoresis Effect of Dielectric Liquids with Suspended Cellulose Impurities under DC Electric Field
Authors: Zainoddin Muhamad Hafiy Syazwan , Zainuddin Hidayat , Aman Aminudin 
Published: October 2017

For decades, petroleum-based mineral oils are the insulating media conventionally used in the industry, particularly for high voltage (HV) applications. However, due to the disadvantages of mineral oils, there is growing interest in replacing these oils with environmentally friendly alternatives in order to fulfill the demanding requirements of dielectric liquids. One of the promising substitutes for mineral oils is ester oils. Nevertheless, the implementation of ester oils is not widespread compared with mineral oils due to the lack of understanding on the performance of ester oils in HV applications. Hence, the objective of this study is to investigate the bridging phenomenon of two dielectric liquids with different viscosities: palm fatty acid ester and mineral oil under the influence of direct current electric field. The results show that oil viscosity plays an important role in the formation of cellulose bridge and breakdown behavior.
Reduction of Total Harmonic Distortion in Cascaded H-Bridge Inverter by Pattern Search Technique
Authors: N. Suresh , Rajesh Babu R. Samuel 
Published: October 2017

Pattern Search technique can be used to find the solution for the optimization problem. In this paper, pattern search algorithm has been utilized to calculate the switching angles for the cascaded H-bridge inverter with the consideration of minimizing total harmonic distortion. Mathematical equations for the optimization problem were formulated by fourier analysis technique. Lower order harmonics such as third, fifth, seventh, ninth and eleventh order harmonics were taken into account to mitigate the total harmonic distortion of the inverter. Simulations have been carried out for thirteen level, fifteen level and seventeen level cascaded H-bridge inverter using matlab software. Total harmonic distortion of voltage and current for resistive load, resistive-inductive load and motor load were analyzed.
Adaptive Antenna Selection and Power Allocation in Downlink Massive MIMO Systems
Authors: Salh Adeeb , Audah Lukman , M Shah Nor Shahida , Hamzah Shipun A 
Published: October 2017

Massive multi-input, multi-output (MIMO) systems are an exciting area of study and an important technique for fifth-generation (5G) wireless networks that support high data rate traffic. An increased number of antenna arrays at the base station (BS) consumes more power due to a higher number of radio frequency (RF) chains, which cannot be neglected and becomes a technical challenge. In this paper, we investigated how to obtain the maximal data rate by deriving the optimal number of RF chains from a large number of available antenna arrays at the BS when there is equal power allocation among users. Meanwhile, to mitigate inter-user-interference and to compute transmit power allocation, we used the precoding scheme zero forcing beamforming (ZFBF). The achievable data rate is increased because the algorithm of ZFBF enables the choosing of the maximum power in relation to the optimal antenna selection. We conclude that the transmit power allocation allows the use of less number of RF chains which provides the maximum achievable data rate depending on the optimal RF chain at the BS.
Evaluating Aggregate Functions of Iceberg Query Using Priority Based Bitmap Indexing Strategy
Authors: Sarika Prakash Kale , Prathap P.M. Joe 
Published: October 2017

Aggregate function and iceberg queries are important and common in many applications of data warehouse because users are generally interested in looking for variance or unusual patterns. Normally, the nature of the queries to be executed on data warehouse are the queries with aggregate function followed by having clause, these type of queries are known as iceberg query. Especially to have efficient techniques for processing aggregate function of iceberg query is very important because their processing cost is much higher than that of the other basic relational operations such as SELECT and PROJECT. Presently available iceberg query processing techniques faces the problem of empty bitwise AND,OR XOR operation and requires more I/O access and time.To overcome these problems proposed research provides efficient algorithm to execute iceberg queries using priority based bitmap indexing strategy. Priority based approach consider bitmap vector to be executed as per the priority.Intermediate results are evaluated to find probability of result.Fruitless operations are identified and skipped in advance which help to reduce I/O access and time.Time and iteration required to process query is reduced [45-50] % compare to previous strategy. Experimental result proves the superiority of priorty based approach compare to previous bitmap processing approach.