bluuebunny/crossref_metadata_2025_split huggingface dataset:
2.45 GHz wearable rectenna array design for microwave energy harvesting
Authors: Shawalil Syahirah , Abdul Rani Khairul Najmy , A. Rahim Hasliza 
Published: April 2019

This paper presents a design of a wearable textile microstrip patch rectifying antenna (rectenna) array operating for wireless body area network (WBAN) at the center frequency, <em>f<sub>c</sub></em> of 2.45 GHz. Precisely, jeans or denim with the relative permittivity, <sub> </sub>= 1.70 and thickness of 1.00 mm is chosen as a substrate attached to SheildIt Super as a conductive material with the thickness, <em>h</em> of 0.17 mm and conductivity of 6.67 10<sup>5</sup> S/m, respectively. In the first stage, a microstrip patch antenna array layout with the inset fed technique is designed and simulated by using the Keysight Advanced Design System (ADS) software. In the second stage, a wearable textile microstrip patch antenna array is fabricated, integrated, and hidden inside the jeans fabric. In the third stage, the rectifier circuit layout on the flame retardant-4 (FR-4) printed circuit board (PCB) with the dielectric constant, = 4.7, thickness, <em>h</em> = 1.6 mm, and loss tangent, <em>δ</em> = 0.018 that can generate radio frequency-direct current (RF-DC) conversion is designed and simulated using the ADS software Each simulation result and fabrication measurement shows that the designed antenna array characteristics are suitable for an industrial, scientific, and medical radio (ISM) band by having the reflection coefficient, <em>S</em><sub>11</sub> less than -10 decibel (dB) at the respective resonant frequency, <em>f<sub>r</sub>.</em> Moreover, through simulation, the output DC voltage for the bridge rectifier circuit is from 132 mV to 5.01 V with the corresponding power conversion efficiency (PCE) between 3.48% and 50.20% whereas for the voltage doubler rectifier, the output DC voltage is from 417 mV to 2.91 V with the corresponding PCE between 34.78% and 53.56%, respectively.
Vacant parking space identification using probabilistic neural network
Authors: Fadillah Rahmat Romi , Purnamawati Sarah , Kurnianto Joko , Faza Sharfina , Fermi Pasha Muhammad 
Published: April 2019

<span>The need for public parking space is increasing nowadays due to the high number of cars available. Users of car parking services, in general, are still looking for vacant parking locations to park their vehicle manually. With the current technological developments, especially in image processing field, it is expected to solve the parking space problem. Therefore, this research implements image processing to determine the location of vacant parking space or occupied ones that run in real-time. In this study, the proposed method is divided into five stages. The first stage is image acquisition to capture the image of parking location. Then it continues to pre-processing stage which consists of the process of saturation, grayscale and thresholding. The third stage is image segmentation to cut the image into five parts. The next stage is feature extraction using invariant moment, and the last stage would be identification process to determine the location of vacant parking spaces or occupied ones. The results of this research using 100 test images generates an accuracy, recall, and precision of 94%.</span>
Design and implementation of modified multilevel sepic converter for PV based apllications
Authors: T Arunkumari , Jagadeesh I. , V Indragandhi 
Published: April 2019

In this manuscript, a DC-DC converter of modified multilevel sepic model with single switch is proposed here. The designed converter combines the voltage tripler circuit, which improves the voltage gain and reduces the voltage ripple of the system. Another feature of the designed converter is reduces the voltage stress and utilized for PV based applications. The operation of the designed converter in Continuous-Conduction Mode (CCM) is discussed. The converter boosts the PV input voltage of 30 V to 400 V output voltages. The efficiency attained by the designed converter is 94%. The Theoretical analysis of the designed converter is presented and it is done with MATLAB simulink. To analyse the performance of this DC-DC converter a model was developed and tested. From the experimental results obtained, it is analysed that the converter performs better and suitable for PV based application.
LTE RF receiver modeling and each part testing with MATLAB simulink
Authors: Al azzawi Fatima Faydhe 
Published: April 2019

fourth generation cellular network based on Long Term Evaluation (LTE) air interface. LTE is specifically designed for packet data communications, where the emphasis of the technologies high spectral efficiency, high peak data rates, low latency, and frequency flexibility. In this paper a LTE physical layer design and implemented using MATLAB codes and Simulink, where MATLAB codes generate the 64 QAM transmitting signal and simulating LTE frames while Simulink model perform the physical layer which including the band limiting, free space path loss adding, channel, RF receiver, demodulation, 10-bit ADC, DC offset cancellation, saving data to preform EVM measurements, and viewing the spectrum signal after each block, finally QAM with multi –order tested under AWGN.
A cluster-based feature selection method for image texture classification
Authors: Alharan Abbas F. H. , Fatlawi Hayder K. , Ali Nabeel Salih 
Published: April 2019

<p>Computer vision and pattern recognition applications have been counted serious research trends in engineering technology and scientific research content. These applications such as texture image analysis and its texture feature extraction. Several studies have been done to obtain accurate results in image feature extraction and classifications, but most of the extraction and classification studies have some shortcomings. Thus, it is substantial to amend the accuracy of the classification via minify the dimension of feature sets. In this paper, presents a cluster-based feature selection approach to adopt more discriminative subset texture features based on three different texture image datasets. Multi-step are conducted to implement the proposed approach. These steps involve texture feature extraction via Gray Level Co-occurrence Matrix (GLCM), Local Binary Pattern (LBP) and Gabor filter. The second step is feature selection by using K-means clustering algorithm based on five feature evaluation metrics which are infogain, Gain ratio, oneR, ReliefF, and symmetric. Finally, K-Nearest Neighbor (KNN), Naive Bayes (NB) and Support Vector Machine (SVM) classifiers are used to evaluate the proposed classification performance and accuracy. Research achieved better classification accuracy and performance using KNN and NB classifiers that were 99.9554% for Kelberg dataset and 99.0625% for SVM in Brodatz-1 and Brodatz-2 datasets consecutively. Conduct a comparison to other studies to give a unified view of the quality of the results and identify the future research directions.</p>
Active contour model for satellitale image combining local and global region based approach
Authors: Hayat Mouri , Hadria Fizazi 
Published: April 2019

<p>Global and local image information is crucial for accurate segmentation of images with intensity inhomogeneity valuable minute details and multiple objects with various intensities. We propose a region-based active contour model which is able to utilize together local and global image information. The major contribution of this paper is to expand the LIF model which is includes only local image infofmation to a local and global model. The introduction of a new local and global signed pressure force function enables the extraction of accurate local and global image information and extracts multiple objects with several intensities. Several tests performed on some synthetic and real images indicate that our model is effective as well as less sensitivity to the initial contour location and less time compared with the related works. </p><p><em> </em></p>
Propagation challenges in 5G millimeter wave implementation
Authors: Fatimah Nordin Siti , Mansor Zuhanis , Faiz Ramli Aizat , Basarudin Hafiz 
Published: April 2019

With current technology advances, implementing millimeter wave in real life have become more promising. However, before millimeter wave can be deployed, there are several challenges in terms of technical, path loss and shadowing. This paper provides a review on the challenges that might occurs when implementing millimeter wave. An overview of LTE-Advanced and millimeter wave is made to provide further understanding. A critical analysis is made to identify the problem in rain and haze attenuation, if addressed, will help mobile service provider to overcome the problem.
Modified singular spectrum analysis in identifying rainfall trend over peninsular Malaysia
Authors: Shaharudin S.M. , Ahmad N. , Zainuddin N.H. 
Published: April 2019

<p>Identifying the local time scale of the torrential rainfall pattern through Singular Spectrum Analysis (SSA) is useful to separate the trend and noise components. However, SSA poses two main issues which are torrential rainfall time series data have coinciding singular values and the leading components from eigenvector obtained from the decomposing time series matrix are usually assesed by graphical inference lacking in a specific statistical measure. In consequences to both issues, the extracted trend from SSA tended to flatten out and did not show any distinct pattern. This problem was approached in two ways. First, an Iterative Oblique SSA (Iterative O-SSA) was presented to make adjustment to the singular values data. Second, a measure was introduced to group the decomposed eigenvector based on Robust Sparse K-means (RSK-Means). As the results, the extracted trend using modification of SSA appeared to fit the original time series and looked more flexible compared to SSA.</p>
A comparative simulation study of different decoding schemes in LDPC coded OFDM systems for NB-PLC channel
Authors: El maammar Nejwa , Bri Seddik , Foshi Jaouad 
Published: April 2019

In this paper, we study the performance of Low density Parity Check (LDPC) coded orthogonal frequency-division multiplexing (COFDM) systems when they are applied on the short data block of a narrowband (NB) power line communications (PLC) channel. In the modelled system simulations have been performed using different code lengths. It is assumed that the channel has a multipath propagation with two different noise scenarios: AWGN background noise with and without the presence of impulsive noise. Performances of Various soft and hard decision LDPC decoder schemes such as belief propagation (BP), weighted bit flipping (WBF), improved weighted bit flipping (IWBF) and implementation-efficient reliability ratio based weighted bit flipping (IRRWBF) decoders were investigated. It has been shown for all simulations performed in PLC channel model showed that remarkable performance improvement can be achieved by using short-length LDPC codes. Especially, the improvements are striking when the BP decoding algorithms are employed on the receiver side.
Improving lecturers’ evaluation score by using analytic hierarchy process (AHP): a case at universiti kuala lumpur
Authors: Saaludin Nurashikin , Ismail Mohd Hafizul , Che Mat Basyirah , Harun Suriyati 
Published: April 2019

<p class="keywords">The quality of education is primarily determined by the academician expertise, skills, abilities and competences. Poor quality of education will give bad impact to the institution. It is very important to enhance the quality of service to ensure education system in Malaysia higher education is at par as international education standard. To achieve the international standard, the teaching quality of lecturers must be seriously taken into consideration. An appropriate method of lecturers’ evaluation should be used to measure lecturers’ performance and credibility. The purpose of this study is to improve the lecturers’ evaluation score by using Analytic Hierarchy Process (AHP). AHP is used to obtain the weightage of each criteria in lecturers’ evaluation. The results show that teaching delivery carries the highest weightage, followed by assesment, course content and course material, lecturer’s interaction and lecturer’s commitment criteria. By implementing a new method of calculation, the overall score will be more accurate in describing the overall lecturers performance from students’ point of view.</p>
Enterprise architecture adoption issues and challenges: a systematic literature review
Authors: Ahmad Nor Azizah , Mohd. Drus Sulfeeza , Abu Bakar Nur Azaliah 
Published: April 2019

<p>This article on Systematic Literature Review (SLR) provides the issues and challenges faced by organizations when adopting EA. Firstly, a review of literature that discusses the problems and challenges was undertaken. Methods and theories adopted were reviewed to identify the existing approach and perspective on resulting factors that influenced EA adoption. Based on the inclusion and exclusion criteria defined in the review process, 16 articles were selected. A total of 19 challenges and problems were identified such as EA misconceptions, overlapping organizational rules, unclear leadership as well as lack of business and IT alignment. A sum of 15 factors from multidimensional contexts that influenced the EA adoption in the organization were also discussed, such as top management support, governance, communication as well as EA knowledge and skill. This SLR also reflected that there were relatively little empirical studies conducted on EA adoption studies. The existing studies tend to apply single and multiple theories from the organization and management domains in one study. By understanding such issues and challenges, risks can be reduced and avoided when introducing EA to organizations, and subsequently ease the deployment process. Thus, this article may shed light on understanding the organizational-related factors and the underlying relationships of EA adoption. As a result, an effective adoption of EA can be facilitated in the organizations.</p>
Thermal analysis of a three-phase induction motor based on motor-CAD, flux2D, and matlab
Authors: Abdullah Afrah Thamer , Ali Amer Mejbel 
Published: April 2019

This paper adopted a thermal network method (TNM) based on Motor-CAD software, and Matlab/SIMULINK, with finite element method (FEM) based on Flux2D software to perform a thermal analysis of a totally enclosed fan-cooled (TEFC), squirrel cage, three-phase induction motor. The thermal analysis is achieved based on a precise knowledge of the test motor geometry, materials, and heat sources (losses). The estimation of heat distribution inside the test motor by this three software is done successfully with a good agreement between its results. The proposed triple-software methodology for this work can be adopted from the motor designer instead of using an experimental test based on a real motor.
Effects of Test Level Discrimination and Difficulty on Answer-Copying Indices
Authors: Sunbul Onder , Yormaz Seha 
Published: April 2019

In this study Type I Error and the power rates of ω and GBT (generalized binomial test) indices were investigated for several nominal alpha levels and for 40 and 80-item test lengths with 10,000-examinee sample size under several test level restrictions. As a result, Type I error rates of both indices were found to be below the acceptable nominal alpha levels. The power study showed that average test difficulty was very effective for power (true detection) rates of indices. Clear patterns were observed for the increase of test difficulty in favor of both ω and GBT power rate. Contrary to expectations; average test discrimination was not as effective as average test difficulty. The results of the interaction effects of item discrimination and difficulty showed that for the cases whose b parameters were lower than 0 with weak discrimination, indices had weak power for both ω and GBT. In addition, for the cases whose b parameter levels were below zero with high discrimination indices, the power performance of both answer-copying indices were very weak. Results for test length showed that with the increase of test length the power rate of both ω and GBT tended to increase. Also, ω performed slightly better than GBT or very close to GBT for 80-item test length however, ω performed better than GBT in terms of power rate for the cases with 40-item test length
IMT Skills of the pre-service teachers in Cebu City
Authors: Boholano Helen B. 
Published: April 2019

Information, media and technology is an essential skill in the 21<sup>st</sup> century. The development of the country relies on the people. The preservice teachers are task to mold the 21<sup>st</sup> century learners. The purpose of this study is to investigate and analyze the information, media and technology skills in the 21<sup>st</sup> century of the preservice teachers in the different Higher Education Institutions (HEIs) in Cebu City. Findings revealed that the preservice teachers possessed very IMT good skills. There are three themes formulated regarding the effects of new digital technologies in the 21<sup>st</sup> century instruction. Making taking and learning more convenient with the use of technology, the 21<sup>st</sup> century role of modern technology in teaching and learning and using technology as tool in research are essential in the 21<sup>st</sup> century undertakings. Thus, ICTs have been very useful in the teaching-learning process and it has been the modernize way of education which caught the interest of everybody. The effective use of technology enables the preservice teachers to facilitate and adjust their instructional strategies to optimize students’ learning.
Performance Indicators for Wireless Intelligent Sensors Applications
Authors: Chakkor Saad 
Published: April 2019

<span lang="EN-US">The metrology technology has been evolved so much with the wireless sensor intelligent systems providing more capabilities in term of processing, remote multi-sensing fusion and storage. This kind of systems can be used in many types of environments. The</span><span lang="EN-US"> monitoring is one of the most used. However, various design challenges for wireless intelligent sensors systems are imposed to overcome the physical limitations. Communication in sensor network should be as efficient as possible, especially for applications requiring specific performances. This paper analyzes the performance indicators of the sensing devices systems which stand for superior measurement, more accuracy and reliability. Study findings prescribe researchers, developers/ engineers and users to realizing an enhanced sensing motes design strategy that offers operational advantages which can give cost-effective solutions for an application.</span>
Evaluation of Physical Activities Recommendation Methodology for Blood Glucose Level Regulation
Authors: Kulev Igor , Koceski Saso , Vlahu-Gjorgievska Elena , Trajkovi Vladimir 
Published: April 2019

Providing patients with convenient health facilities at a low cost has always been a great challenge for health service providers. Moreover, the fast changing life style of the modern world and the problem of aging society pose an urgent need to modernize such facilities. The emphasis has to be paid on providing health monitoring in out-of-hospital conditions for elderly people and patients who require regular supervision, particularly in remote areas. This paper presents a recommendation algorithm, which incorporates collaboration and classification techniques in order to generate recommendations and suggestions for the physical activities that the users should carry out in order to improve their health. The algorithm has been evaluated using generic data and considering the daily food intake. The results of the experimental evaluation show that the algorithm is robust and could suggest the physical activities that might compensate the influence of the food intake over the blood glucose level.
Performance Evaluation of Broad Band CDMA Signal Using Beam Forming Antenna Technology for Next Generation Communications
Authors: Sheikh Javaid A 
Published: April 2019

<p>In order to accommodate various multimedia services, next generation wireless networks are characterized by very high transmission rates. Thus, in such systems and networks, the received signal is not only limited by noise like Additive White Gaussian noise (AWGN) but especially with increasing data transmission rate by the Intersymbol Symbol Interference (ISI) due to time dispersion of channel. A number of techniques such as rake receiver in CDMA systems and equalizers in GSM systems have been proposed to combat the effect of fading so as to improve the performance of wireless communication network. In this paper we evolve the performance of uncoded uplink transmission in broadband CDMA using beam forming technique under multipath conditions. The beam-former has been implemented using Transport Delay Line (TDL) filters. An expression for the optimal weights of a TDL based beam former has been derived. A carrier frequency of 2 Ghz has been used in this work as they are useful for next generation wireless systems. Simulation results show that TDL beamformer can reduce the multipath fading and Multiple Access Interferance (MAI). It has been shown that if SNR (related with Variance of the channel) is maintained at 10 db and if a 3 ray based beamformer having 3 antennas with 3 taps is used, the Error Rate of 0.1was found without using channel coding.</p>
Circularly Polarized Rectangular Microstrip Patch Antenna with Finite Ground Plane
Authors: Rawat Sanyog , Sharma Kamlesh Kumar 
Published: April 2019

<p class="Abstract"><span style="font-weight: normal;">In this paper a new geometry of patch antenna is proposed with improved bandwidth and circular polarization. The radiation performance of circularly polarized rectangular patch antenna is investigated by applying IE3D simulation software and its performance is compared with that of conventional rectangular patch antenna.</span> <span style="font-weight: normal;">Finite Ground truncation technique is used to obtain the desired results. The simulated return loss, axial ratio and smith chart with frequency for the proposed antenna is reported in this paper. It is shown that by selecting suitable ground-plane dimensions, air gap and location of the slits, the impedance bandwidth can be enhanced upto 10.15 % as compared to conventional rectangular patch (4.24%) with an axial ratio bandwidth of 4.05%.</span></p><p> </p><p> </p>
Monitoring Biosensors and Obtaining Data Using GSM Module
Authors: RM Hemavathy 
Published: April 2019

<p>The main focus of the project is to prevent the loss of human life against the discomfort and death caused by the lack of attention towards the patients due to the improper monitoring systems provided in the hospital. The aim of the project is to monitor the bio sensors attached to the persons in their body either internally or externally. The biosensors which are about to be used in this project are EEG sensor (electro encephalogram sensor). An ECG sensor (electro cardiogram sensor) which is very essential for a critical patient, this project also emphasizes on the extended design of a special type of sensor called the oxygen insensitive microscale biosensor which helps in the monitoring of constant oxygen supply in blood thereby detecting blood cancer at the earliest stage. The data from all the sensors are sent to a central wireless node through wifi. From the main node the data is sent to the control station of the hospital through zigbee as the coverage area of certain hospitals is more than the coverage area of a Bluetooth. The control station segregates the data of different patients and stores in the memory location. If any of the patient data exceeds the standard data fed to the control station by the doctor then a message will be sent to the mobile of the attendee and the doctor using the GSM control system.<em></em></p><p><em>Keywords: Biosensors, Raspberry pi (controller), GSM, Zigbee</em></p><p><em> </em></p>