bluuebunny/crossref_metadata_2025 huggingface dataset:
Path Loss Models Optimization for Mobile Communication in Different Areas
Authors: Gareh Messaoud , Djouane Lotfi , Oudira Houcine , Hamdiken Nazih
Published: December 2016

In mobile radio systems, path loss models are necessary for proper planning, interference estimations, frequencies assignments and cell parameters which are basic for network planning process. Empirical models are the most adjustable models that can be suited to different types of environments. In this paper, data collected in Batna, Algeria is used to calculate the path loss for GSM (908-957 MHz). The measured path loss is compared with theoretical path loss estimated by the most widely empirical models «Cost123»,  «Hata», «SUI» and «Egli». The best model to estimate the measured path loss is optimized using genetic algorithm to predict path loss for suburban and rural area. The RMSE and the other test criteria between the actual and predicted data are calculated for various path loss models. It turned out that the adjusted COST 231 model outperforms the other studied models. The investigated results can help telecommunication engineers improve their planning and design of microcellular system.
A Narrow Band Pass Filter Using Technology Surface Mount Technology on Radar Frequency Generators
Authors: Hermida I Dewa Putu , Kurniadi Deni Permana , Syamsu Iqbal
Published: December 2016

A BPF using SMT components. A cut-off frequency on a filter under cooling below LPF which works at  freq 310 MHz, while the cut-off frequency below a filter under cooling HPF which works at freq 306 MHz, so that the width of the band This filter is a type of narrow bandwidth filter 4 MHz. An 7 poles filter order with the aim to increase the steepness of the filter is generated, using the elliptic filter family or causer. Stop band width (Fs) to filter under cooling below about 20% in the frequency range 372 MHz, with stop band depth (As) of about 55 dB, while the stop band width (Fs) to filter under cooling of about 20% in the frequency range 245 MHz, with stop band depth (As) of about 55 dB. This filter is designed to pass the signal frequency division results DRO with a CF of 9856 MHz. Using SMT components, this circuit becomes very small and compact and has a high Q. The results of the simulation are generated, then this filter can realized system FMCW radar frequency generator.
An Energy Efficient Clustering Algrithm Based on DEEC Protocol and K-mean Method
Authors: Cheikh Elahmadi , Saad Chakkor , Mostafa Baghori , Abderrahmane Hajraoui
Published: December 2016

In WSN the sensor nodes are usually powered by batteries and thus have very limited lifetime if no power management is performed. Because of this major limitation, energy-efficient techniques are main research challenge in this context to solve it. Dividing the network in clusters is an effective technique to achieve this goal. This algorithm is based on creating virtual sub-groups of sensor nodes in order to minimize routing calculations and to reduce the size of cluster head data aggregation. Nowadays, a lot of heterogeneous clustering protocols for WSN are created. Nevertheless, these protocols need to find the optimal clusters formation in the network that conserve CHs and theirs member nodes energy consumption. A new approach is proposed combining between an efficient clustering algorithm K-means and our proposed DEEC.  This approach has been employed to enhance DEEC protocol performances. Numerical simulation proves that the improved protocol entitled KM-DEEC achieves a satisfactory results compared to others DEEC protocol versions.
Helmet Charger Based Solar Power
Authors: Fuada Syifaul
Published: December 2016

Solar power based helmet charger is a product developed by the author and his team that was funded twice by the Ministry of Research and Technology of Higher Education in 2013 and 2014 for ‘Karsa Cipta’ (creative plan) program and ‘Kewirausahaan’ (enterpreneurship) program, respectively. This product has participated in several scientific agendas such as conferences or contests from 2013 to 2015, and is processing the proposal for patent with several claims distinguishing it from other similar innovations. This paper is contained with invention profile and achievement of qualification fulfillment of a superior innovation as well as several considerations of technopreneurship based opportunities or business prospects as a follow up research and development.
Efficiency Comparaison and Evaluation between Two ETL Extraction Tools
Authors: Amine Abdellah , Ait Daoud Rachid , Bouikhalene Belaid
Published: December 2016

In the prospects of making an array of onboard decision support in a public university, we present a comparison between two ETL extraction tools from a production database containing student information.For the implementation we use Pentaho and Sql Server tools and we illustrate the application on the case of Sultan Moulay Slimane University inBeniMellal, Morocco.
Information Required for Estimating The Indicator of Forest Reclamation Success in Ex Coal-Mining Area
Authors: Muis Hasriani , Jaya I Nengah Surati , Saleh Muhammad Buce , Murtilakono Kukuh
Published: December 2016

This paper describes how the information of the key indicators for assessing the degree of forest reclamation success in ex coal-mining area was identified. Those indicators were analyzed using the descriptive statistic as well as the discriminant analysis on the basis of biophysical data representing age class of vegetation after reclamation. The main objective of the study was to find out the predominant key indicator that determines the success of forest reclamation in ex coal-mining areas. This study found that the variance of basal area, green biomass and increment was relatively high between young plantation and old plantation. The study confirmed that the variation of the success of reclamation was strongly influenced by site quality. . The study concluded that the best indicators to be used for assessing the success of forest reclamation was the increment providing accuracy more than 79.6% either for indicator five or three classes.
Investigating the Ethernet and Boolean Logic
Authors: Rohayani Hetty , Fernando Erick , Touriano Derist
Published: December 2016

Write-ahead logging to work. After years of research that are typical in Moore's Law, validate multi-processor investigation, which embodies the principles of intuitive machine learning. Our focus in this paper is not on whether a symmetric encryption can be made metamorphic, probabilistic, adaptive, efficient wearable, and interposable, but rather the introduction of new wireless communication (SCHAH). The properties SCHAH highly dependent on the assumptions inherent in our framework; in this section, we consider the methodology which consists of n access point. Implementation of our applications are replicated, symbiosis, and with large scale yangmemiliki full control over homegrown database, as may be necessary in order to control and access points are not compatible. A collection of shell scripts contains about 85 x86 assembly instructions. Where the engine and is fully compliant courseware follows the sensor network evaluation, although SCHAH not able to give a lot of kernel at a time. 
Technology Map: A Text Mining and Network Analysis Approach
Authors: Hakim Arif Rakhman , Djatna Taufik , Febransyah Ade
Published: December 2016

Information of technology development is indispensable for research planning. This information is needed by researcher to determine research topics which he will contribute. For journal editor, this information is needed to evaluate research paper draft. Unfortunately, technology development is unable to be measured directly. To measure the development, several methods have been developed using patent and journal as its data. In this work we focused on development of technology map and its measurement in a method to provide information of technology development from Indonesian research journals using text mining and network analysis. The map helps stakeholders to plan their researches. Using journal data from agro-industrial technology, the method is able to identify relation between researches, thus we can develop the time line of the research area. The method can also cluster the researches into nineteen research areas and measure its popularity, importance, affinity to particular group, research type whether breakthrough or incremental, research group retention time, and its saturation.
Tifinagh Characters Recognition Using Simple Geometric Shapes
Authors: Boutaounte M. , Ouadid Y.
Published: December 2016

In this paper we present method of features extraction based on decomposition of the characters into several simple geometric shapes (segment, arc) by detecting the branch points and end points, as it explained follow a new methods are using to treated the obtained information in order to decide if the characters need to add more key points also in this step we extracte the type of the shapes (segment or arc) and the orientation. The next step of characters recognition different methods are used such as neural network (NN), K-mean and support vector machine (SVM) classifier. The results shown in this paper are obtained using the IRCAM database.
Enterprise Architecture Characteristics in Context Enterprise Governance Base On COBIT 5 Framework
Authors: Nugroho Heru , Herawan Tutut
Published: December 2016

The existence of the enterprise architecture is an attempt of managing and planning over the evolution of information systems in the sphere of an enterprise with model-based. In developing the enterprise architecture, there are several tools definition of components in the system. This tool is known as enterprises architecture (EA) framework. In this paper, we present a method to build a model of enterprise architecture in accordance with the needs of the Organization by Understanding the characteristics of the EA framework such as Zachman, TOGAF, and FEAF. They are selected as the EA framework will be used to determine the characteristics of an EA because the framework is most widely used in corporate or Government. In COBIT 5 framework, there is a process associated with enterprise architecture it is APO03 Manage Enterprise Architecture. At this stage of the research, we describe the link between the characteristics of the EA with one process in COBIT 5 framework. The results contribute to give a recommendation how to design EA for organization based on the characteristic of EA in Context Enterprise Governance using COBIT 5 Framework.
Modeling of Magnetizing Inrush and Internal Faults for Three-phase Transformers
Authors: Bakhshipour Mohammad , Namdari Farhad , Sedaghat Mohammad
Published: December 2016

Among the most noticeable root causes of improper performance in power transformers, internal short circuit faults can be noted and if not quickly be identified and addressed in the accepted time interval, irrecoverable damages such as interruption or even collapse of the network connected to the power transformer would happen. In this contribution, three-phase transformer behaviors under magnetizing inrush, internal short circuit condition and their current values determination have been surveyed using electromagnetic coupling model approach and structural finite element method. Utilizing the definition of transformer in the form of multi-coil and their electromagnetic and electric couple, a three dimensional geometric model of transformer is developed which includes nonlinear characteristics of the transformer, different states of normal and under internal short circuit occurrence and the moment of magnetizing inrush creation are investigated. The comparison between obtained results of presented model simulation with the consequences of practical studies on a typical three phase transformer reveals that the proposed model has a reliable accuracy in detection and modelling the transformer behavior in normal conditions, magnetizing inrush and different types of internal faults. The proposed approach represents an accurate model of a three-phase transformer for protection aims.
Design of Observer-Based Robust Power System Stabilizers
Authors: M. Soliman Hisham , Soliman Mahmoud
Published: December 2016

Power systems are subject to undesirable small oscillations that might grow to cause system shutdown and consequently great loss of national economy. 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.  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.
Improvement Model Damping Low Frequency Oscillations Presence UPFC by Cuckoo Optimization Algorithm
Authors: Anarkooli M. Yousefi , Afrakhteh H.
Published: December 2016

Low frequency oscillation (LFO) is a negative phenomenon repeated for the power system increases the risk of instability. In recent years, power systems stabilizer (PSS) for damping low frequency oscillations is used. With FACTS devices such as integrated power flow controller (UPFC) can control power flow and  transient   stability increase.  So, UPFC low   frequency oscillation damping can be used instead of PSS. UPFC through direct control voltage and low frequency oscillation damping can be improved. In this study, a single linear model of synchronous machine connected to an infinite bus Heffron-Philips in the presence of UPFC to improve low frequency oscillation damping is used. The selection of the output feedback parameters for the UPFC controllers is converted to an optimization problem which is solved by cuckoo optimization algorithm (COA). COA, as a new evolutionary optimization algorithm, is used in multiple applications. This optimization algorithm has a strong ability to find the most optimistic results for dynamic stability improvement. The controller UPFC and damping in MATLAB software environment is designed and simulated. The simulation was performed for a variety of loads and for various loads and more effective UPFC controller electromechanical oscillation damping compared to other algorithm types is shown.
GUI Based Control System Analysis using PID Controller for Education
Authors: Abdulameer Ashwaq , Sulaiman Marizan , Aras M.S.M. , Saleem Dawood
Published: December 2016

PID control strategy should be understood as a huge part in the education oriented on process control. Application of suitable GUI windows software can contribute in the increase of education quality and providing a better understanding of PID control through as it provides a user friendly environment which is suitable and comfortable for teaching, learning and training application. This paper present the PID control system analysis by explaining the PID controller three-term parameters, PID control types and structure, and PID tuning approach using Ziegler-Nichols and manual tuning method (in both s-domain and z-domain) with the help of simulation and Graphical User Interface GUI windows based on MATLAB. This software package is targeted for engineering students and practicing engineers.
Simulation of the Lightning Back-Flashover for Medium Voltage Distribution Network
Authors: El-Sayed Gouda Osama , Elshesheny Noura Ahmed
Published: December 2016

Lightning strikes represent a considerable cause of short interruptions in electrical overhead line networks. The over voltages caused by lightning cannot be avoided but their influence can be limited by appropriate over voltage protection. This paper presents analysis study on some factors affecting the back flashover of Egyptian 66 kV distribution lines using Alternative Transient Program (ATP). The study includes the modeling of 66 kV distribution lines, the effects of magnitude and the front and tail times of lightning wave on the back flashover voltages, the effects of the striking distance, and the using of counterpoise wires on the back flashover on the 66 kV line towers. In this paper the 66 kV lines sag is neglected and the soil ionization by the flow of the stroke current is considered.
Optimal Tuning and Placement of Power System Stabilizers Based Eigenvalue
Authors: Bibaya Lawrence , Liu Chongru
Published: December 2016

In this paper, an eigenvalue assignment based Particle Swarm Optimization and Participation Factor for Optimal tuning and placement of power system stabilizers is proposed. The proposed approach presents a two-step methodology to find optimal location and parameters of PSS. The Participation Factor method is computed using the modal analysis toolbox from DIgSILENT, and used to determine the power system stabilizers optimal location. A Particle Swarm Optimization algorithm is written in MATLAB to search the power system stabilizers optimal parameters. Two eigenvalue-based objective functions to ensure a maximum damping of the inter-area modes as well as of the local modes by assigning them in a robust stability area are considered. The performance of the proposed approach is tested and examined on the four-machine two-area power system. Linear modal analysis and non-linear time domain simulations show the robustness of the proposed approach.
Improving the power factor correction in the presence of harmonics by reducing the effect of resonance and harmonics
Authors: Saleh Saber M. , Arafa Mohamed E.
Published: December 2016

Harmonics in electrical networks occur as a result of non-linear loads.  It has an effect on power factor improvement using capacitors in terms of increasing the unbalance current between units. In addition, the occurrence of resonance and result in the exit of capacitors from service by the protective relays to protect the units from collapse. The main objective of this research is the real-time study of improving the power factor with reducing the effect of the resonance and harmonics on the power system. This reduction can be done using filters, consist of reactors and capacitors connected in series or in parallel or series and parallel together to reduce the current harmonics or voltage harmonics. Single Tuned filter type (passive filter) is used which presents very low impedance at the tuning frequency, through which all current of that particular frequency will be diverted. This research presents two practical power systems 11kV source in Fayoum substation and 13.8kV source in New Badr substation connected to power factor Improvement circuit. These models simulated by Matlab at different unbalance currents and harmonics. Also, it presents the design of the series reactor and the harmonics filter which satisfy the minimum effect of resonance and harmonics.
A Novel Technique of Power Flow Control in Transmission Lines Using Interline Power Flow Control
Authors: Aswal Pankaj , Singh Suyash Kumar , Thakur Apurv , Gaur Kshitij
Published: December 2016

The interline power flow control (IPFC) is the flexible AC transmission system controller (FACTS) came into accountability to control the flow of power in multiple line transmission system. The following paper demonstrates the IPFC modelling using Matlab Simulink. Power flow calculations has been made using Gauss-Seidel Method. Optimization of power in terms of real and reactive power flow is achieved by comparing the actual calculated term and the predicted value.
Study of stabilty analysis of a grid connected Doubly fed induction generator based on wind energy Application
Authors: Kaloi Ghulam sarwar , Wang Jie , Baloch Mazhar H
Published: December 2016

      The present paper formulates the state space modeling of doubly fed induction generator (DFIG) based wind turbine system for the purpose of the stability analysis. The objective of this study is to discuss the various modes of operation of the DFIG system under different operating conditions such as voltage sags with reference to variable wind speed and grid connection. The proposed control methodology exploits the potential of the DFIG scheme to avoid that grid voltage unbalances compromise the machine operation, and to compensate voltage unbalances at the point of common coupling (PCC), preventing adverse effects on loads connected next to the PCC. This methodology uses the rotor side converter (RSC) to control the stator current injected through the machine and the GSC to control the stator voltage to minimize the electromagnetic torque oscillations. Extensive simulation results on a 2MW DFIG wind turbine system illustrate the enhanced system performance and verify the effectiveness of the controller.
Hardware Implementation of Cascaded Hybrid Multilevel Inverter with Reduced Number of Switches
Authors: Balamurugan Chinnapettai Ramalingam , Natarajan S.P. , Anandhi T.S. , Bensaraj R.
Published: December 2016

This paper presents the comparison of various multicarrier Pulse Width Modulation (PWM) techniques for the Cascaded Hybrid Multi Level Inverter (CHBMLI). Due to switch combination redundancies, there are certain degrees of freedom to generate the five level AC output voltage. This paper presents the use of Control Freedom Degree (CFD) combination. The effectiveness of the PWM strategies developed using CFD are demonstrated by simulation and experimentation.  The simulation results indicate that the chosen five level inverter triggered by the developed Phase Disposition(PD), Phase Opposition and Disposition(POD), Alternate Phase Opposition and Disposition (APOD), Carrier Overlapping (CO), Phase Shift (PS) and Variable Frequency (VF) PWM strategies developed are implemented in real time using FPGA. The simulation and experimental outputs closely match with each other validating the strategies presented.
The Research on Intelligent Seating Position Type LED Table Lamp
Authors: Liu Ling , Wang Qi
Published: December 2016

Taking STC89C52RC single-chip as control core, this research realizes intelligent control function, which can automatically detect whether there is someone in the room and turn on/off LED table lamp; brightness of LED lamp can be adjusted with manual mode. In addition to that, it also has other functions such as displaying time and date, and posture correction. In general, time, data and brightness can be regulated through key module. 8 high brightness white LED are used in illumination module, among which, light sensitive module is applied for testing luminous intensity of environment; ultrasonic distance measuring module is utilized for detecting the distance from men to table lamp through transmitting and receiving ultrasound. In the evening, light is on when the distance from men to table lamp is within certain range; and light is off when exceeding this range. However, if the distance is lower than the specified minimum distance, buzzer will alarm to warn user that the seating position needs to be corrected. C language programming is employed for the integrated software to achieve the overall control function.
Finding Hidden Communities in Complex Networks from Chaotic Time Series
Authors: Sun Jiancheng
Published: December 2016

Recent works show that complex network theory may be another powerful tool in time series analysis. In this paper, we construct complex networks from the chaotic time series with Maximal Information Coefficient (MIC). Each vector point in the reconstructed phase space is represented by a single vertex and edge determined by MIC. By using the Chua’s circuit system, we illustrate the potential of these complex network measures for the detection of the topology structure of the network. Comparing with the linear relationship measure, we find that the topology structure of the community with MIC reveals the hidden or implied correlation of the network.
Impulsive Noise Cancellation from ECG Signal using Adaptive Filters and their Comparison
Authors: Mohanty Mihir Narayan , Panda Sarthak
Published: December 2016

Impulsive Noise is the sudden burst noise of short duration. Mostly it causes by electronic devices and electrosurgical noise in biomedical signals at the time of acquisition. In this work, Electrocardiograph (ECG) signal is considered and tried to remove impulsive noise from it. Impulsive noise in ECG signal is random type of noise. The objective of this work is to remove the noise using different adaptive algorithms and comparison is made among those algorithms. Initially the impulsive noise in sinusoidal signal is synthesized and tested for different algorithms like LMS, NLMS, RLS and SSRLS. Further those algorithms are modified in a new way to weight variation. The proposed novel approach is applied in the corrupted ECG signal to remove the noise. The effectiveness of the proposed approach is verified for ECG signal with impulsive noise as compared to the traditional approaches as well as previously proposed approaches. Also the performance of our approach is validated by SNR computation. Significant improvement in SNR is achieved after removal of noise.
Analysis of Selected Earth-Space Rain Attenuation Models for a Tropical Station
Authors: Yussuff A. I. O.
Published: December 2016

The restrained use of millimeter bands is due to severe rain attenuation. Attenuation is caused when rain cells intersects radio wave’s propagation path; resulting in deep fades. The effect of rainfall is more severe in tropical regions characterized by heavy rainfall intensity and large raindrops; hence, rain attenuation analyses are essential to study rain fade characteristics for use in earth-space link budget analysis, for outage prediction resulting from rain attenuation. Tropical regions are particularly challenged with signal outage, necessitating the formulation and development of suitable prediction model(s) for the region. Therefore, extensive knowledge of the propagation phenomena mitigating system availability and signal quality in these bands are required. Daily rainfall data were collected from the Nigerian Meteorological Services for Lagos for spanning January to December 2010. Results showed that although, the ITU-R model out-performed the other prediction models under consideration, none of prediction models matched the measurement data.
Wireless Indoor Localization Systems and Techniques: Survey and Comparative Study
Authors: Khudhair Ahmed Azeez , Jabbar Saba Qasim , Qasim Sulttan Mohammed , Wang Desheng
Published: December 2016

The popularity, great influence and huge importance made wireless indoor localization has a unique touch, as well its wide successful on positioning and tracking systems for both human and assists also contributing to take the lead from outdoor systems in the scope of the recent research works. In this work, we will attempt to provide a survey of the existing indoor positioning solutions and attempt to classify different its techniques and systems. Five typical location predication approaches (triangulation, fingerprinting, proximity, vision analysis and trilateration) are considered here in order to analysis and provide the reader a review of the recent advances in wireless indoor localization techniques and systems to have a good understanding of state of the art technologies and motivate new research efforts in this promising direction. For these reasons, existing wireless localization position systems and location estimation schemes are reviewed. We also made a comparison among the related techniques and systems along with conclusions and future trends to identify some possible areas of enhancements. 
Using A Fuzzy Number Error Correction Approach to Improve Algorithms in Blind Identification
Authors: ATIFY Elmostafa , DAOUI Cherki , BOUMEZZOUGH Ahmed
Published: December 2016

As part of a detailed study on blind identification of Gaussian channels, the main  purpose was  to propose an algorithm based on cumulants and  fuzzy number approach  involved throughout the whole process of identification. Our objective was to compare the new design of the algorithm to the old one using the  higher order cumulants, namely  Alg1, Algat  and the Giannakis  algorithm. We were  able to demonstrate that the proposed method -fuzzy number error correction- increases the performance of the algorithm by calculating the ratio of squared errors of ALGaT and  AlgatF. The method can be applied to any algorithm for more improvement and effinciency.
Cooperative Improved Target Localization in harsh Environments using Direction of Arrival
Authors: Safaie Alireza , Shahbazian Reza , Ghorashi Seyed Ali
Published: December 2016

Target localization is an important issue for many applications in wireless sensor networks. However, it is rather difficult to maintain the localization accuracy in mixed line-of-sight (LOS) and non-line-of-sight (NLOS) environments as NLOS propagation leads to larger error than what LOS does. In this paper, we propose a new target localization method in mixed environments where NLOS is dominant and only one base node might be in LOS toward target. We use the cooperation between receiver nodes and the direction of arrival (DOA) of received signals to estimate the target’s location. The proposed cooperative target localization method tries to identify a base node that has LOS with respect to target node and use the LOS information for precise positioning of target node. We simulate the proposed method to analyze its performance. Simulation results confirm that our proposed method improves the localization accuracy on average by 20 percent in comparison with traditional cooperative methods.
Bandwidth Enhancement of Rectangular Microstrip Patch Antenna using Defected Ground Structure
Authors: Fitsum Dawit , Mali Dilip , Ismail Mohammed
Published: December 2016

This paper presents the bandwidth enhancement of a Proximity Coupled Feed Rectangular Microstrip Patch Antenna using a new Defected Ground Structure - an ‘inverted SHA’ shaped slot on the ground plane of the proximity coupled feed rectangular Microstrip patch antenna. The parameters such as Bandwidth, Return loss, VSWR and Radiation efficiency are improved in the proposed antenna than simple proximity coupled feed rectangular Microstrip patch antenna without Defected Ground Structure. A comparison is also shown for the proposed Microstrip patch antenna with the antenna structure without Defected Ground Structure. The proposed antenna resonates in S-band at frequency of 2.4 GHz with bandwidth of 180 MHz. A very good return loss of -47.9223 dB is obtained for the Microstrip patch antenna with an ’inverted SHA’ shaped Defected Ground Structure. Implementing an ‘inverted SHA’ shaped defect in the ground plane of the proximity coupled feed rectangular Microstrip patch antenna results in 5.3% improvement in bandwidth with 16.01% reduction in the overall area of the ground plane as compared to the Microstrip patch antenna without Defected Ground Structure.
Dual-Band Proximity Coupled Feed Microstrip Patch Antenna with ‘T’ Slot on the Radiating Patch and ‘Dumbbell’ Shaped Defected Ground Structure
Authors: Fitsum Dawit , Mali Dilip , Ismail Mohammed
Published: December 2016

This paper presents Dual-Band proximity coupled feed rectangular Microstrip patch antenna with slots on the radiating patch and Defected Ground Structure. Initially a simple proximity coupled feed rectangular Microstrip patch antenna resonating at 2.4 GHz is designed. Etching out a ‘Dumbbell’ shaped defect from the ground plane and ‘T’ shaped slot from the radiating patch of the proximity coupled feed rectangular Microstrip patch antenna, results in a Dual-Band operation, i.e., resonating at 2.4 GHz and 4.5 GHz; with 30.3 % and 18.8% reduction in the overall area of the patch and the ground plane of the reference antenna respectively. The proposed antenna resonates in S-band at frequency of 2.4 GHz with bandwidth of 123.6 MHz and C-band at frequency of 4.5 GHz with bandwidth of 200 MHz, and a very good return loss of -22.1818 dB and -19.0839 dB at resonant frequency of 2.4 GHz and 4.5 GHz respectively is obtained. The proposed antenna is useful for different wireless applications in the S-band and C-band.
TreeNet Analysis of Human Stress Behavior using Socio-Mobile Data
Authors: Padmaja B , Prasad V V Rama , Sunitha K V N
Published: December 2016

Human behavior is essentially social and humans start their daily routines by interacting with others. There are many forms of social interactions and we have used mobile phone based social interaction features and social surveys for finding human stress behavior. For this, we gathered mobile phone call logs data set containing 111444 voice calls of 131 adult members of a living community for a period of more than 5 months. And we identified that top 5 social network measures like hierarchy, density, farness, reachability and eigenvector of individuals have profound influence on individuals stress levels in a social network. If an ego lies in the shortest path of all other alters then the ego receives more information and hence is more stressed. In this paper, we have used TreeNet machine learning algorithm for its speed and immune to outliers. We have tested our results with another Random Forest classifier as well and yet, we found TreeNet to be more efficient. This research can be of vital importance to economists, professionals, analysts, and policy makers.
Implementation of Object Recognition Based on Type of Vehicle Entering Main Gate
Authors: Mohd Shah Hairol Nizam , Ab Rashid Mohd Zamzuri , Kamis Zalina , Kamarudin Muhammad Nizam , Abdollah Mohd Fairus , Khamis Alias
Published: December 2016

This project related to develop and implementation of object recognition based on type of vehicle entering the main gate to facilitate the employment data of vehicles entering according to the types of vehicles. Data for the number of vehicles in accordance with the types recorded. In completing this project, there are two algorithms used, the detection algorithm and classification algorithm. Vehicles will be classified by comparison in terms of it front light area and will be stored in three types of vehicles; sedan, multipurpose van or van, and four wheel drive. Wireless camera is mounted with 1.6 meters high on the pipe rod at the guard house as input for the processing algorithm. Vehicle image will be captured by a wireless camera and then processed to identify its type. Data for the type of vehicle and number of vehicles by type is shown through the Graphical User Interface (GUI). Inflow and outflow of vehicles can be monitored via the control unit (GUI) without human monitoring at the entrance.
Noisy Signal Processing Research based on Compressed Sensing Technology
Authors: Qin Guojun , Wang Jingfang
Published: December 2016

Compressed sensing (CS) is a kind of sampling method based on signal sparse property, it can effectively extract the signal which was contained in the message. In this study, a new noise speech enhancement method was proposed based on CS process.  Voice sparsity is used to this algorithm in the discrete fast Fourier transform (Fast Fourier transform, FFT),and observation matrix is  designed in complex domain,  and the noisy speech compression measurement and de-noising are made by soft threshold,  and the speech signal is sparsely reconstructed and restored by separable approximation (Sparse Reconstruction by Separable Approximation, SpaRSA) algorithm, speech enhancementis improved.  Experimental results show that the denoising compression reconstruction is made for the noisy signal in  the algorithm, SNR margin is improved greatly, and the background noise can be more effectively suppressed .
Dimensionality Reduction and Classification of Hyperspectral Images using Genetic Algorithm
Authors: Kiran Kumar R. , Saichandana B. , Srinivas K.
Published: December 2016

This paper presents genetic algorithm based band selection and classification on hyperspectral image data set. Hyperspectral remote sensors collect image data for a large number of narrow, adjacent spectral bands. Every pixel in hyperspectral image involves a continuous spectrum that is used to classify the objects with great detail and precision. In this paper, first filtering based on 2-D Empirical mode decomposition method is used to remove any noisy components in each band of the hyperspectral data. After filtering, band selection is done using genetic algorithm in-order to remove bands that convey less information. This dimensionality reduction minimizes many requirements such as storage space, computational load, communication bandwidth etc which is imposed on the unsupervised classification algorithms. Next image fusion is performed on the selected hyperspectral bands to selectively merge the maximum possible features from the selected images to form a single image. This fused image is classified using genetic algorithm. Three different indices, such as K-means Index (KMI) and Jm measure are used as objective functions. This method increases classification accuracy and performance of hyperspectral image than without dimensionality reduction.
Distributed Target Localization in Wireless Sensor Networks using Diffusion Adaptation
Authors: Hajihoseini Amirhosein , Ghorashi Seyed Ali
Published: December 2016

Localization is an important issue for wireless sensor networks. Target localization has attracted many researchers who work on location based services such as navigation, public transportation and so on. Localization algorithms may be performed in a centralized or distributed manner. In this paper we apply diffusion strategy to the Gauss Newton method and introduce a new distributed diffusion based target localization algorithm for wireless sensor networks. In our proposed method, each node knows its own location and estimates the location of target using received signal strength. Then, all nodes cooperate with their neighbors and share their measurements to improve the accuracy of their decisions. In our proposed diffusion based algorithm, each node can localize target individually using its own and neighbor’s measurements, therefore, the power consumption decreases. Simulation results confirm that our proposed method improves the accuracy of target localization compared with alternative distributed consensus based target localization algorithms.  Our proposed algorithm is also shown that is robust against network topology and is insensitive to uncertainty of sensor nodes’ location.
Fission Transmission Linear-to-Circular Polarization Conversion Based on Compact Bi-Layer structure
Authors: Mangi Farman Ali , Xiao Shaoqiu , Mallah Ghulam Ali , Kakepoto Ghulam Fatima , Memon Imran
Published: December 2016

A fission transmission linear-to-circular polarization conversion based on bi-layer structure is proposed which is composed of 3 × 3 array to convert linear-to-circular polarized wave. The structure is constructed by half square with “H” shape printed on both sides of the dielectric substrate that are subjected to obtain multi-band at resonance frequencies. The proposed structure realizes the giant circular polarization under the normal incidence for right and left circular polarized waves. After transmission, the incident wave decomposed into two orthogonal linear components have equal magnitudes and 90o phase difference between them. The novel approach of “fission transmission of electromagnetic waves” is firstly introduced to understand the physics of giant circular polarization conversion which is based on the sequence of incident and transmitted waves to generate strong circular dichroism.
Inter-cell Interference Mitigation through Flexible Resource Reuse, LP-OFDM and Coordination techniques for LTE Advanced in Dense Urban Area
Authors: Younes Balboul , El Idrissi Najiba El Amrani
Published: December 2016

The inter-cell interference problem is a key issue in LTE Advanced system especially in dense urban environments. This paper present a new inter-cell interference reduction technique for LTE Advanced downlink system in dense urban area based on a new coordination algorithm with the use of linear precoding OFDM, coordination between cells and power management techniques. The objective of our new technique is to improve cell edge and centre capacity in LTE Advanced downlink system. For this purpose, we prove with real time simulations using Matlab that the S.F.R and P.F.R scheme with our algorithm is a good candidate to enhance the average cell capacity and edge user experience, without sacrificing the average cell throughput.
Duty Cylcing Stratagems for Network Permanency in Wireless Sensor Network
Authors: Toufique Muhammad , Jiang Hongbo , Hadi Alaa Rahhoom
Published: December 2016

Wireless Sensor Networks (WSNs) having Sensor Nodes (SNs) deployed in the field, is penetrating in all fields of life. Commonly used and appreciated by the research community and general user especially. The energy delinquent in WSNs are the main barricades averting whole manipulation expertise. However, their energy embarrassed nature requires the use of energy effective stratagems to maximize network lifetime. Emerging such a Medium Access Control (MAC) code of behavior is burning topic zone in this field. For evade deteriorating imperfect power,   redeemable functions proposed in MAC code of behavior. Features are to save energy and thus extend the lifespan of the network. We exploit especially the duty cycle and present this as an energy minimizing tool in MAC protocols.
Mining Association Rules: A Case Study on Benchmark Dense Data
Authors: Man Mustafa Bin , Wan Abu Bakar Wan Aezwani , Abdullah Zailani , Abd Jalil Masita@Masila , Herawan Tutut
Published: December 2016

Data mining is the process of discovering knowledge and previously unknown pattern from large amount of data. The association rule mining (ARM) has been in trend where a new pattern analysis can be discovered to project for an important prediction about any issues. Since the first introduction of frequent itemset mining, it has received a major attention among researchers and various efficient and sophisticated algorithms have been proposed to do frequent itemset mining. Among the best-known algorithms are Apriori and FP-Growth. In this paper, we explore these algorithms and comparing their results in generating association rules based on benchmark dense datasets. The datasets are taken from frequent itemset mining data repository. The two algorithms are implemented in Rapid Miner 5.3.007 and the performance results are shown as comparison. FP-Growth is found to be better algorithm when encountering the support-confidence framework.
Study on Community’s Land Allocation in Long Pahangai District
Authors: Renaldi Dito Cahya , Jaya I Nengah Surati , Rusdiana Omo
Published: December 2016

Land use allocation for community has been a crucial process for supporting the spatial allocation either at the regency or provincial level. This study was emphasized on the analysis of land allocation at the district level. The study applied a linear programming approach to optimize the land use in Long Pahangai District then linked with the spatial information. The optimization considered several factors, i.e., land productivity, the degree of erosion and the preference of the community living in the study area. To support the optimization, the availability of land use was determined by considering the land capability using the query tools in the Geographic Information System. The level of land capability applied five constraints, namely, slope, drainage, soil texture, effective depth and erosion. The study found that the optimal allocation of land use in the study area are primary forest of 6,635.11 ha (25.19%), secondary forest of 19,025.7 ha (71.9%), mixed plantation area of 289.61 ha (1.1%), settlement area of 8.3 ha (0.03%) and rice field of 487.35 ha (1.844%). This optimal allocation might increase the community income per capita by approximately 80% from 9,602,000.- to 17,275,171.-/capita/ha/year.  
Optimum Software Aging Prediction and Rejuvenation Model for Virtualized Environment
Authors: Umesh I M , Srinivasan G N
Published: December 2016

Advancement in electronics and hardware has resulted in multiple softwares running on the same hardware. The result is multiuser, multitasking and virtualized environments.  However, reliability of such high performance computing systems depends both on hardware and software.  For hardware, aging can be dealt with replacement. But, software aging needs to be dealt with software only. For aging detection, a new approach using machine learning framework has been proposed in this paper. For rejuvenation, Adaptive Genetic Algorithm (A-GA) has been developed to perform live migration to avoid downtime and SLA violation. The proposed A-GA based rejuvenation controller (A-GARC) has outperformed other heuristic techniques such as Ant Colony Optimization (ACO) and best fit decreasing (BFD) for migration. Results reveal that the proposed aging forecasting method and A-GA based rejuvenation outperforms other approaches to ensure optimal system availability, minimum task migration, performance degradation and SLA violation.
Oil Palm Yield Forecasting Based on Weather Variables Using Artificial Neural Network
Authors: Kartika Nadia Dwi , Astika I Wayan , Santosa Edi
Published: December 2016

Forecasting of oil palm yield has become a main factor in the management of oil palm industries for proper planning and decision making in order to avoid monthly high cost in harvesting. Predicting future value of oil palm yield with minimum error becomes an important issue recently. A lot of factors determine the productivity of oil palm and weather variables play an important role that affect plant growth and development that may reduce yield significantly. This research used secondary data of yield and weather variables available in company administration. It proposed feed forward neural network with back propagation learning algorithm to build a monthly yield forecasting model. The optimization procedure of ANN architecture obtained the best using 60 neurons in input layer, five hidden layers and one neuron in the output layer. Training data were from January 2005 to June 2008 while testing data were from July 2008 to December 2009. ANN architecture using five hidden layers gave the best accuracy with MAE 0.5346 and MSE 0.4707 while the lowest accuracy occurred by using two hidden layers with MAE 1.5843and MSE 4.087.