bluuebunny/crossref_metadata_2025 huggingface dataset:
Energy management system for PV-battery microgrid based on model predictive control
Authors: Basir Khan M. Reyasudin , Pasupuleti Jagadeesh , Al-Fattah Jabbar , Tahmasebi Mehrdad
Published: April 2019

There had been increase of the usage of renewable energy sources to supply electricity in remote areas. However, microgrid consists of renewable sources such as solar Photovoltaic (PV) poses challenges for a reliable energy supply due to its intermittent nature. This paper presents a microgrid model with Energy Management System based on Model Predictive Control (MPC). The microgrid comprises of PV, and battery storage system. The goal of the EMS is to deliver a reliable and optimal generation from multiple sources in the microgrid. Moreover, the MPC will also provide controls for the battery charging for a smooth PV output. The model simulated based on actual load profile and renewable resource such as solar radiation. Several disturbances such as variation of load, generation and PV shading has been simulated to measure the performance of the EMS. The results illustrate the system ability to exhibits robust performance in variety of conditions.
Local mean based adaptive thresholding to classify the cartilage and background superpixels
Authors: Seng Gan Hong , Adb Salam Bakhtiar Al-Jefri , Ahmad Khaizi Aida Syafiqah , Hanif Ramlee Muhammad , Wan Mahmud Wan Mahani , Lee Yeng-Seng , Amir Sayuti Khairil , Tarmizi Musa Ahmad
Published: April 2019

Semi-automatic segmentation is common in medical image processing because anatomical geometries demonstrated by human anatomical parts often requires manual supervision to provide desirable results. However, semi-automatic segmentation has been infamous for requiring excessive human intervention and time consuming. In order to reduce a forementioned problems, seed labels have been generated automatically using superpixels in our previous works. A fixed threshold method has been implemented to classify cartilage and background superpixels but this method is reported to lack the adaptiveness to changing image properties in 3D magnetic resonance image of knee. As a result, the coverage of background seeds are not sufficient to cover whole background area in some cases. In this work, we proposed a local mean based adaptive threshold method as a better alternative to the fixed threshold method. We calculated local mean for each block in an integral image and then use it to differentiate background superpixels from cartilage superpixels. The method is robust to illumination changes and simple to use. We tested the adaptive threshold on 35 knee images of different anatomical geometries and proved the proposed method could provide more comprehensive background seed labels distribution compared to fixed threshold method
Magnetic particle imaging signal acquisition using second harmonic detection of magnetic nanoparticles
Authors: Abdul Jamil Muhammad Mahadi , Abubakar Sadiq Abdulkadir , Shukri Ahmad Muhammad , Mohd Noor Noordin Asimi , Abd Rahman Nur Adilah , Othman Nurmiza
Published: April 2019

This paper presents an approach for acquiring a magnetic particle imaging (MPI) signal, by utilizing the second harmonic detection of the magnetic nanoparticles tracers. An MPI signal with high signal-to-noise ratio (SNR) is crucial for high spatial resolution images that reveals the distribution of the tracers in a target area. Samples of Resovist and Perimag nanoparticles tracers were prepared in liquid and immobilised form, which were placed at some distances under the receiver coil of the single-sided MPI scanner. The samples were exposed to the excitation magnetic field generated at 22.8 kHz and a static gradient field generated with a direct current of 2 A. The non-linear magnetization response of the tracers for each spatial position is recorded in the form of voltage signal by a gradiometer pickup coil, with the second harmonic signal being extracted by a resonance circuit. The results obtained revealed that a sufficient signal from the tracers is recorded at up to 25 mm under the pickup coil, with Perimag samples inducing higher signals as compared to Resovist. The dependence of the DC gradient field on the second harmonic signal shows that the peak signal amplitude for Resovist and Perimag particles as ±5 mT and ±6 mT respectively. Additionally, the second harmonic signal amplitude increases exponentially with an increase in the excitation magnetic field. Thus, the results obtained shows the potential of this approach in acquiring high SNR MPI signals at low excitation frequency, which could be vital in reconstructing the contour images of the tracers, particularly in sentinel lymph node biopsy (SLNB) for breast cancer diagnosis.
Optimized health parameters using PSO: a cost effective rfid based wearable gadget with less false alarm rate
Authors: Ahmed Khan Talha , Junaid Tahir M. , Alam Muhammad , A. Kadir Kushsairy , Shahid Zeeshan
Published: April 2019

The motive of contriving the proposed research was originated after recognizing some false alarm in measuring health parameters and practical issues in hospitals for example approachability and presence of patient at designated place for the evaluation of the health parameters like Blood pressure, sugar, body temperature, pulse and some other parameters.  The manual entry of the data into the systems have been become a critical problem. To vanquish this problem, a wearable gadget has been designed, so that a patient can carry it feasibly. Various approaches like Bayesian classifier has been applied to minimize the false alarm. Fuzzy logic, Kalman filtering, extended Kalman filtering, support vector machine, multi-layer perceptron, adaptive neuro fuzzy inference system and cuckoo search have been applied to eliminate the false alarm and give the best optimum solution. Results have proved that PSO worked betted as its convergence time is less than the others algorithms and produced best optimum value for the body vitals. Moreover, PSO has been applied to achieve the best optimal results and to increase the performance.  Monitoring of heart pulse rate and body temperature readings that were recorded in database were then tested and validated by comparing digital thermometer and digital inflator. PSO will converge and give the global best position of data by updating the velocity. Results proved that PSO produced better results by optimizing with better accuracy and precision and can be acknowledged as cost-effective solution.
Pipeline architectures of Three-dimensional daubechies wavelet transform using hybrid method
Authors: Huda Ja’afar Noor , Ahmad Afandi
Published: April 2019

The application of three-dimensional (3-D) medical image compression systems uses several building blocks for its computationally intensive algorithms to perform matrix transformation operations. Complexity in addressing large medical volumes data has resulted in vast challenges from a hardware implementation perspective. This paper presents an approach towards very-large-scale-integration (VLSI) implementation of 3-D Daubechies wavelet transform for medical image compression. Discrete wavelet transform (DWT) algorithm is used to design the proposed architectures with pipelined direct mapping technique. Hybrid method use a combination of hardware description language (HDL) and G-code, where this method provides an advantage compared to traditional method. The proposed pipelined architectures are deployed for adaptive transformation process of medical image compression applications. The soft IP core design was targeted on to Xilinx field programmable gate array (FPGA) single board RIO (sbRIO 9632). Results obtained for 3-D DWT architecture using Daubechies 4-tap (Daub4) implementation exhibits promising results in terms of area, power consumption and maximum frequency compared to Daubechies 6-tap (Daub6).
Performance comparison of micromachined antennas optimized at 5 GHz for RF energy harvester
Authors: Mohd Yunus Noor Hidayah , Sampe Jahariah , Yunas Jumril , Pawi Alipah , Abd Jalil Mohd Izam
Published: April 2019

This paper presents a comparative performance of the antennas fabricated using bulk micromachining and surface micromachining process. The dielectric permittivity of crystal silicon (Si) and glass are ɛr = 11.9 and ɛr = 4.7, respectively are considered in the substrates comparison studied. The research aims to discover the best antenna performance by alternative micromachining modes for integrating with the RF harvester printed circuit design. Here, the study on micromachining process method involves the simulation study of three different structures and materials, such as Si with air gap, Si surface and glass surface based antenna. These antennas have been modelled using CST-MWS software. The micromachined antennas have been optimized operating at 5 GHz band. The parameters such as S-parameter, -10 dB bandwidth, radiation pattern, gain, directivity and VSWR are evaluated. The outcomes validate good characteristic of glass based surface micromachined antenna over the Si based for both bulk micromachined and surface micromachined antenna. The results show that the Si surface micromachined antenna is not able to reach the requirement for RF antenna specification, however, it is improved by creating the air cavity. Furthermore, the use of glass substrate has increased the antenna gain by 5.34% and the -10 dB bandwidth increased by 72.86% compared to the Si with air cavity. The glass based antenna dimension is reduced by 9.09% and 44.93% compared to Si bulk micromachined and Si surface micromachined antenna, respectively. Thus, the characteristics of the glass surface micromachined antenna are relatively appropriate for highly efficient RF energy harvester application
Mutual coupling reduction in circularly polarized dielectric resonator MIMO antenna
Authors: Iqbal J. , Illahi U. , I. Sulaiman M. , Alam M. , Mazliham MS. , Ding L.S
Published: April 2019

In this article a novel circularly polarized (CP) rectangular dielectric resonator antennas (RDRA’s) array has been designed. A unique conformal feeding strip has been used to excite the RDRA’s having a distance of λ/2. Various techniques are investigated to reduce mutual coupling (MC).  Different formations, comprise of reorientation of the antennas have been employed to suppress MC and to enhance CP bandwidth. By the unique orientation the mutual coupling has been reduced by ~ 14 dB. A broadband circular polarization over a bandwidth of ~ 18.8% in conjunction with an impedance matching bandwidth of ~ 11.3 % has been achieved. The design has been modeled and simulated using computer simulation technology (CST). Two different simulation techniques i.e. finite integration technique (FIT) and Finite element method (FEM) have been used to compute and validate the results respectively. A significant resemblance in results have been observed.
Statistical analysis using taguchi method for wind turbine in ducting system
Authors: A.Malik A. , M.Maharum S. , W. Mohd. Tohid M.Z. , K.Rahmat M. , H.Hamzah I.
Published: April 2019

Wind turbine is a device that converts kinetic energy of wind into electrical energy. Weak air pressure with an average of 2m/s to 4m/s makes wind turbine implementation in Malaysia becoming difficult and unrealistic. In order to produce a good power and torque, a quality air pressure is needed. Wind turbine performance depends on the incoming wind speed. Fluctuating and low quality air pressure are the significant challenges in wind turbine implementation. There are many types of mechanism and control but the production of output power is still considered low compared to the actual equipment. In a large building, Heat Ventilation Air Conditioning (HVAC) system is highly required to control the indoor temperature and consistent air pressure through ducting. The consistency of air pressure in ducting system make a drive for this research to proposed a wind turbine implementation in ducting system in order to produce electrical energy. In HVAC there are five parameters to be considered in order to identify the air pressure distribution in ducting system. These five parameters are input air pressure, ducting height, distance between blower to the pipe, total effective length and gap between trunk or run out.  In this paper, an analysis of air pressure  effect in a ducting system will be conducted via a development of air pressure prototype. Thousands of experiments are required with regards to a huge number of experiments to be considered. Spesifically a statistical analysis Taguchi Method is used to reduce a number of experiments. Without statistical analysis, 3125 experiments  shall be conducted to identify the air pressure distribution in the ducting system. However, these huge number of experiments are reduced to only 25 experiment by using Taguchi method based on the function of L25 in array orthogonal
Design and analysis of dual band integrated hexagonal shaped microstrip UWB antenna
Authors: Farhood Alaa , Naji Maham Kamil , Rhaif Suhad Hasan Rhaif Hasan , Ali Adnan
Published: April 2019

In this paper, we proposed a hexagonal shaped microstrip ultra-wideband (UWB) antenna integrated with dual band applications. The antenna design consists of a hexagonal shape patch with two folded Capacitive Loaded Line Resonators (CLLRs) on the left edge of the patch antenna. This hexagonal structure is used to implement UWB applications (3.1-10.6 GHz). A rectangular ground, and two CLLR are also used on the bottom of antenna to obtain the extra dual resonant frequency at 2.4 GHz and 9.1 GHz for Bluetooth and radar applications respectively. The proposed design is implemented using FR4 epoxy substrate. The relative permittivity of the substrate is 4.4. The overall size of designing antenna is 26 × 30 mm2 with 1.6 mm as thickness and fed by standard feed line of 50 Ω microstrip. The results obtained from the simulation indicate that the designed antenna attains a good bandwidth from 1.1 GHz – 10.69 GHz with VSWR < 2 and return loss < -10 dB. The proposed geometry is simulated  by using the Ansoft HFSS simulator working on the principle of FEM and results are also analyzed.
A compact miniature fractal planar antenna for RFID readers
Authors: Ihamji Mohamed , Abdelmounim Elhassane , Zbitou Jamal , Bennis Hamid , Latrach Mohamed
Published: April 2019

This article presents a new miniature microstrip antenna in the ISM "Industrial Scientific and Medical" band, at 2.45 GHz. This microstrip antenna is designed for RFID reader system, by exploiting the fractal technique and the CPW fed; this antenna is printed on FR4 substrate with dielectric constant of 4.4. The validated antenna has a good matching input impedance range from 2.27 GHz to 2.68 GHz with a stable radiation pattern, a gain of 2.2 dBi, and a directivity of 1.91 dB. The total area of the final circuit is 21.22 x 32.05 mm2. A prototype of the proposed antenna has been fabricated and measured.
Wireless charging system using spectral energy harvesting technique
Authors: Nataraj Chandrasekharan , Careem Mahsoom Raseen Abdul , Lakshmanan Ravi , Selvaperumal Sathish Kumar , Abdulla Raed
Published: April 2019

This paper presented the energy harvester circuit to enable wireless charging method. The wireless RF spectrum is abundant and potent in the public locations, which can be used for energy harvesting purpose. This is supported by the fact that RF signals are ubiquitous and do not require propagation media of any sort. The system is developed using optimal antenna, matching circuit and charge pump circuit. The 2x2 array type patch antenna operated at 924 MHz is designed and simulated using High Frequency Simulator. The antenna works as a transducer to capture and measure the RF signals from freely available energy source. The field study was conducted at three different highly populated locations such as place of education, place of residence, and place of transport using Software Defined Radio (SDR). The respective acquired RF energy values are -10.45 dBFS (morning), -10.45 dBFS (noon), and -13.33 dBFS (night) at the place of transport for the demonstration purpose. The antenna parameters study also conducted and proved that the antenna gain is good which is greater than 6.6 dB and also return loss greater than -43dB. In addition, charge pump circuit is designed and shown to be capable of boosting the voltage more than 2.5 V easily at the different frequencies for wireless charging purpose.
The effect of wavelet transform on OFDM system in modern cellular networks
Authors: Ghanim Mayada Faris
Published: April 2019

Wavelet transform has many advantages that make it suitable and efficient approach to replace Fast Fourier Transform (FFT) in conventional Orthogonal Frequency Division Multiplexing (OFDM) systems. Wavelet transform is employed in modern cellular networks to remove the use of cyclic prefix, which leads to decreasing the bandwidth losses and the power of transmission. Wavelet based OFDM system is designed in order to overcome the drawbacks of OFDM system so that the proposed system is good candidate for next generation wireless communications.
Cloud based secured framework for implementation of online voting system
Authors: Gururaj K S , Thippeswamy Dr K
Published: April 2019

Accessing and Utilization of data and information from remote location is one of the major requirements of present world. Due to the increase in the requirement of the data access from remote locations, challenges in the enhancement of technology based systems also have increased proportionately. Technology based solution for accessibility of remote data with available infrastructure is the need of the hour. Implementation of technology based solutions for the challenges may be expensive due to the current technical limitations. In this paper, we have attempted to design a secured cloud based framework for Online Voting System and analyzed its performance based on the three cryptographic algorithms namely Blowfish, AES and RSA.
Internet of things (IoT) based traffic management & routing solution for parking space
Authors: Dzulkurnain Zulnazim , Mahamad Abd Kadir , Saon Sharifah , Ahmadon Mohd Anuaruddin , Yamaguchi Shingo
Published: April 2019

The idea of Internet of Things (IoT) based traffic management & routing solution for parking space is due to the vehicle parking has become major issue in urban areas. The growing number of vehicles has contributed to the traffic problem and vehicle parking issue nowadays. The main purpose of this project is to assist the user to locate the vacant parking space, which help to reduce time and fuel consumption on searching the parking space. This proposed system was used online system via website application, which assist people to find the available parking slot. In fact, the system counted the capacity of the available parking space and notified the user through the website application. Frankly, the system was equipped with an ultrasonic sensor, which acts as the detector that sent data to the microcontroller in order to update into UBIDOTS cloud server for data logger purposes. This system could lessen or solve the time management problem at the parking area, which user could save their time by checking the available parking slots in advance through the website application.
Feed forward neural network application for classroom reverberation time estimation
Authors: Zainudin Fathin Liyana , Saon Sharifah , Mahamad Abd Kadir , Nizam Yahya Musli , Ahmadon Mohd Anuaruddin , Yamaguchi Shingo
Published: April 2019

Acoustic problem is a main issues of the existing classroom due to lack of absorption of surface material. Thus, a feed forward neural network system (FFNN) for classroom Reverberation Time (RT) estimation computation was built. This system was developed to assist the acoustic engineer and consultant to treat and reduce this matter. Data was collected and computed using ODEON12.10 ray tracing method, resulting in a total of 600 rectangular shaped classroom models that were modeled with various length, width, height, as well as different surface material types. The system is able to estimate RT for 500Hz, 1000Hz, and 2000Hz. Using the collected data, FFNN for each frequency were trained and simulated separately (as absorption coefficients are frequency dependent) in order to find the optimum solution. The final system was validated and compared with the actual measurement value from 15 different classrooms in Universiti Tun Hussein Onn Malaysia (UTHM). The developed system show positive results with average validation accuracy of 94.35%, 95.91%, and 96.42% for 500Hz, 1000Hz, and 2000Hz respectively. 
Compilation of malay criminological terms from online news
Authors: Ling Lee Joanna Chiew , Lee Teh Phoey , Lun Lau Sian , Pak Irina
Published: April 2019

A Malay language corpus has been established by the Institute of Language and Literature (Dewan Bahasa dan Pustaka, DBP in Malaysia). Most of the past research on the Malay language corpus has focused on the description, lexicography and translation of the Malay language. However, in the existing literature, there is no list of Malay words that categorizes crime terminologies. This study aims to fill that linguistic gap. First, we aggregated the most frequently used crime terminology words from Malaysian online news sources. Five hundred crime-related words were compiled. No automatic machines were in the initial process, but they were subsequently used to verify the data. Four human coders were used to validate the data and ensure the originality of the semantic understanding of the Malay text. Finally, major crime terminologies were outlined from a set of keywords to serve as taggers in our solution. The ultimate goal of this study is to provide a corpus for forensic linguistics, police investigations, and general crime research. This study has established the first corpus of a criminological text in the Malay language.
Evaluation and improvement of the main insulation structure of 33kV distribution transformer based on FEM
Authors: Jebur Ibrahim Jalil , Hameed Kassim Rasheed
Published: April 2019

This paper introduces a 2-D FE model to analyze the electric field distribution to evaluate and improve the insulation structure of the 250kVA, 33/0.4kV wound core type distribution transformer using the ANSYS 17.2 by implementing APDL program. The dielectric lighting impulse test was simulated in order to test the presented transformer model according to the IEC67006-3 standard, the assessment process is based on determining the electric stresses and compare it with the maximum permissible value of electric field intensity. Three proposed FE model as an improvement to the insulation structure of the transformer included reducing the insulation distances, changing the materials type, and mix both of them. The results obtained from the FE solution were compared with those of the real test, and presented in form of contours, curves, and vectors. The results obtained from the presented model can be further treated as a reference data in the design process.
Performance analysis of 5-ary MUSA and SCMA for uplink transmission
Authors: Mosleh Esraa , Fouda Mostafa M. , Eldien Adly S. Tag , Tantawy Mohsen M.
Published: April 2019

Multiple access is one of the core technologies of wireless communications, which enables wireless base stations to deal with a large number of different users and provide the service for each of them at the same time.  Meeting the 5G challenges, non-orthogonal multiple access is the main concerned point in 5G technologies. In this paper, two types of non-orthogonal multiple access schemes, namely, 5-ary Multi User Shared Access (MUSA) and Sparse Code Multiple Access (SCMA), are studied. The Bit Error Rate performance (BER) analysis in terms of user overloading for an uplink 5-ary MUSA and SCMA systems are analyzed.
User behaviour pattern for online learning system: UiTM iLearn portal case
Authors: Nurr Sadikan Siti Fairuz , Azhar Ramli Azizul , Md. Fudzee Mohd Farhan , Sapura Jailani Siti , Mohd Isa Mohd Ali , Ramakrisnan Prasanna , Embi Roslani
Published: April 2019

A Web server log files contain an entire record of the user’s browsing history such as referrer, date and time access, path, operating system (OS), browser and IP address. User navigation pattern discovery involves learning of user’s browsing behaviour to gain the pattern from web server log file. This paper emphasizes on identifying user navigation pattern from web server log file data of iLearn portal. The study implements the framework for user navigation including phases of acquisition of weblog, log query parser, preprocessor, navigational pattern modelling, clustering, and classification. This study is conducted in the context of the actual data logs of the iLearn portal of Universiti Teknologi MARA (UiTM). This study revealed the navigational patterns of online learners which relatively related to their intake or group along the semester of 14 weeks. Besides, access patterns for students along the semester are different and can be classified into three (3) quarter, namely Q1, Q2 and Q3 based on the total of week per semester. Future work will focus on the development of prototype to improve the security of online learning especially during the assessment progress such as online quiz, test and examination.
Blockchain based crowdfunding systems
Authors: Saadat Md Nazmus , Abdul Halim Syed , Osman Husna , Mohammad Nassr Rasheed , F. Zuhairi Megat
Published: April 2019

Initially, blockchain is only used as a foundation of cryptocurrency, but today, we can see the rise of this new emerging technology are being implemented in many industries. In the future, most technologies around the world are expected to use blockchain as an efficient way to make online transactions. One of the areas that blockchain technologies can be applied is crowdfunding platforms. The most common problem with current crowdfunding scene in around the world including is that the campaigns are not regulated and some of the crowd-funding campaign turned out to be fraud. Besides, the completion of some projects also was significantly delayed. This project aims to solve these problems by applying Ethereum smart contracts to the crowdfunding site to that the contracts will be fully automatically executed, thus preventing frauds and ensuring that the projects can be delivered within duration given.
The internet of things in healthcare: an overview, challenges and model plan for security risks management process
Authors: Abu Bakar Nur Azaliah , Wan Ramli Wan Makhtariah , Hassan Noor Hafizah
Published: April 2019

The Internet of Things (IoT) has not been around for very long. However, since the notion of IoT introduced, most of IoT studies focused on a strategic level such as planning, architectures, standardization, and latest technologies, however, studies of risk management plan of IoT are still lacking.  IoT has been widely used to link existing medical resources and provide reliable, effective and smart healthcare services to elderly and patients with chronic illnesses.  However, a systematic process is missing when managing and anticipating the risk of IoT usage in healthcare.  For this purpose, this paper extensively explores various IoT technologies used in health care services and its security challenges. As a result, IoT Security Risk Model for Healthcare is introduced to cater a complete process of risk management based on ISO/IEC 27005:2018 standard.  It is believed that by having this model, it will emphasize on iterative IoT risk management process as it may increase the depth and detail of the assessment at each iteration.
Robust authenticated encryption scheme with multiple keys for ad hoc networks
Authors: Kakkar Ajay , Singh Maninder
Published: April 2019

Data security in a computing dynamic infrastructure without explicit user intervention is tough to achieve. A robust authenticated encryption scheme with multiple keys for ad hoc networks has been proposed. Real time attacks has been monitored and coped up using re-encryption algorithm. The effectiveness of the work has been validated by extensive simulations on various combination in terms of S-Boxes, key and data length. The proposed work is a collaboration of optimal selection of S-Boxes, key and data lengths with evaluation of heat dissipation. The work has been carried out to develop an optimized efficient key management technique to reduce the time available for hackers. To verify the effectiveness of proposed algorithm, the results have been compared with K. Xue et al. (2013) , Li et al. (2011) and S. K. Sood et al.’s protocol (2011)
Formulation of an integrated social commerce framework to promote social capital for energy sectors
Authors: Shanmugam Mohana , Karunakaran Vinitha , Amidi Asra
Published: April 2019

Social capital refers to the resources available in personal and business networks. In developing a culture that values and practices social capital, social factors are considered one of the main precursors.  With the proliferation of social commerce and the maturing of social media, social capital can be acquired and further developed for productive benefits, particularly for energy sectors in Malaysia. In this study, an integrated social commerce framework to promote social capital is presented and evaluated. The framework attempted to define the relationship between the Theories of Planned Behavior (TPB) and Social Support Theory (SST) alongside satisfaction and perceived value factors towards promoting social capital development in energy sectors. This research uses SPSS to analyse the data collected from employee in the energy sectors in Malaysia. Research reveals that social capital is present when there is trust and loyalty among the users and the significance of social capital is monumental for energy sectors’ productivity, efficiency and profitability. A survey is adapted and distributed to 20 respondents from the energy sector in Malaysia as a mean to study on the validity and reliability of the research factors. Results indicate that all proposed factors are significant in promoting social capital except one, which is the Perceived Behavioral Control (PBC) of the TPB.
Optimising the parameters of a RBFN network for a teaching learning paradigm
Authors: Chaudhury Pamela , Tripathy Hrudaya Kumar
Published: April 2019

Academic performance of students has been a concern worldwide. Despite efforts made by educational institutions there has been a rise in poor academic performance. In our research study we have proposed a model to pre-determine the academic performance of students using a Radial Basis Function network (RBFN) using primary data. The proposed model has been developed by using algorithms like differential evolution (DE) and teaching learning based optimization (TLBO). This model can be used by academic institutions to identify the academically weaker students and take preventive steps to reduce the number of academic failures.
An Important Landmarks Construction for a GIS-Map based on Indexing of Dolly Images
Authors: Abdulkadhem Abdulkadhem Abdulkareem , Al-Assadi Tawfiq A.
Published: April 2019

 In this paper, we describe the construction of important landmarks of roads in the GIS environment. The system uses the corners between more than two roads as an important landmarks. In this corner points will be saving a number of images, each one represents the movement direction between two segment roads. The objective of our work is to build the geo-database repository depend on the GIS (vector data) and multimedia (raster data) information. This paper considered as a preprocessing step for a roadmap discovery of video film when the input to the system is a dolly video film of roads with absence the GPS locations of frames video, and the output is the pathway (route) on the map inside the GIS environment. This work considered as a starting point for multimedia query inside the GIS environment. That’s mean when query the GIS system about a particular image or video, the GIS system must be able to know and determine the location of this image or video file on the map. Thus, the first step for doing this process needs to building and constructing an appropriate database for matching process later.
Prediction of hypertention drug therapy response using K-NN imputation and SVM algorithm
Authors: Muflikhah Lailil , Hidayat Nurul , Joko Hariyanto Dimas
Published: April 2019

Hypertention is a degenerative disease but its healing takes a long time by consuming hypertension drugs until patient’s lifetime. The research is conducted to predict response of drug therapy using bioinformatics approach which is a blend of biological and informatics engineering methods. It is used medical record data of hypertensive patient in drug therapy which has an impact on genetic characteristics. The data is constructed as modelling for learning process. Then, it is implemented as a prediction whether the blood presure is under control or not. However, the amount data have no values, then they are required to be applied preprocessing data. Therefore, this research is proposed K-Nearest Neighbor (K-NN) Imputation algorithm for refining data. After that, it is implemented using Support Vector Machine (SVM) algorithm for prediction.The experiment result is achieved the highest accuracy rate of 90% at the best parameter value λ = 0.9, Σ = 2, C = 0.1, ε = 0.001 in ten times iterations.
Opinion Mining on Culinary Food Customer Satisfaction Using Naïve Bayes Based-on Hybrid Feature Selection
Authors: Somantri Oman , Apriliani Dyah
Published: April 2019

Conducting an assessment of consumer sentiments taken from social media in assessing a culinary food gives useful information for everyone who wants to get this information especially for migrants and tourists, in th other hand that information is very valuable for food stall and restaurant owners as information in improvinf food quality. Overcoming this problem, a sentiment analysis classification model using naïve bayes algorithm (NB) was applied to get this information. This problem occurs is the level of accuracy of classification of consumer ratings of culinary food is still not optimal because the weight of values in the data preprocessing process are not optimal. In this paper proposed a hybrid feature selection models to overcome the problems in the process of selecting the feature attributes that have not been optimal by using a combination of information gain (IG) and genetic algorithm (GA) algorithms. The result of this research showed that after the experiment and compared to using others algorithms produce the best of the level occuracy is 93%.
Parking entrance control using license plate detection and recognition
Authors: Farag Mohamed Sayed , Mohie El Din Mostafa Mohamed , Elshenbary Hassan Ahmed
Published: April 2019

There is no doubt that car parking is a very challenging and interesting topic of surveillance. In the recent years, a lot of smart systems for parking lot access control were developed to control and register the car data. The aim of this paper is to use image processing methods to control the entrance of a smart parking. The steps of car plate recognition are: preprocessing, License plate detection, character extraction and recognition. In the step of preprocessing, image was enhanced and noise was reduced. After preprocessing stage, color filter was used to detect the plate region. In case of large image size DWT was used for feature extraction and decreased the time of the detection stage. In the stage of character segmentation, the image is converted from grayscale to binary according to a given threshold. Filtering the binary image after using the morphological operation method, the largest objects are determined as the segmented plate characters. Finally, the correlation method was used to recognize the segmented characters. In case of similarity, SVM was used as a good classifier. Experimental results using matlab software, view that the proposed method increase the plate detection and recognition rates. It achieved aver- age 97.8% detection rate, 98% segmentation rate and 97% recognition rate, So it will be a good method for smart parking entrance control.
Crowd behavior analysis using MoDTA approach
Authors: C Savitha , D Dr. Ramesh.
Published: April 2019

In order to analyze the behaviors of human, significant extent of work has been carried out in the video surveillance applications. While considering the crowded scenes, the adopted features are crafted manually which have a great side to detect anomaly. It requires prior information and is hard to extract from complex video scenes and also it involves huge computational costs. In this paper, we are proposing multi-observational detection and tracking approach (MoDTA) that is based on observational filter. The MoDTA initially acquires  people location in an image, so that is can detect conviction value at pointed locations which generally increases with respect to people density. In the phase of tracking, MoDTA computes the multiple observed weight values and individual features, also advection particle is used at motion model in order to facilitate the dense scenario tracking. Coefficient of correlation is used as template detector and the function of template detector is to estimate the upcoming object. Our proposed MoDTA is compared with other existing detection and tracking methods in order to evaluate the system performance.  
Automatic moving foreground extraction using random walks
Authors: Boulfrifi Idir , Housni Khalid , Mouloudi Abdelaziz
Published: April 2019

In this paper, we propose a novel approach for automatic foreground extraction in video frames by analyzing the spatiotemporal aspect. We divide our contribution to tree steps: Automatic seeds detection, formulating the energy function, and using the random walk algorithm to minimize this function. First, we detect seeds by extracting a sparse of good features to track in the current frame and compute the difference between those pixels and its adjacent in the previous frame, the difference of pixels is treated in HSV color space to make the result more accurate, we thresholds this difference, and we classify moving and stationary pixels. Secondly, we formulate our foreground extraction as a graph based problem, then we define an energy function to evaluate spatiotemporal smoothness. Finally, we applied the random walk algorithm with seeds detected in the first step to minimize the energy function problem, the solution leads to evaluate the potential that every pixel in the video sequences is marked in motion or a stationary pixel. We suggest that our unsupervised method has the potential to be used for many kinds of motion detection and real-time video.
Automatic foreground detection based on KDE and binary classification
Authors: Lahraichi Mohammed , Housni Khalid , Mbarki Samir
Published: April 2019

In the recent decades, several methods have been developed to extract moving objects in the presence of dynamic background. However, most of them use a global threshold, and ignore the correlation between neighboring pixels. To address these issues, this paper presents a new approach to generate a probability image based on Kernel Density Estimation (KDE) method, and then apply the Maximum A Posteriori in the Markov Random Field (MAP-MRF) based on probability image, so as to generate an energy function, this function will be minimized by the binary graph cut algorithm to detect the moving pixels instead of applying a thresholding step. The proposed method was tested on various video sequences, and the obtained results showed its effectiveness in presence of a dynamic scene, compared to other background subtraction models.
Protecting sensitive information utilizing an efficient association representative rule concealing algorithm for imbalance dataset
Authors: Babu Mylam Chinnappan , Pushpa Sankaralingam
Published: April 2019

In data mining, discrimination is the detrimental behavior of the people which is extensively studied in human society and economical science. However, there are negative perceptions about the data mining. Discrimination has two categories; one is direct, and another is indirect. The decisions depend on sensitive information attributes are named as direct discrimination, and the decisions which depend on non-sensitive information attributes are called as indirect discrimination which is strongly related with biased sensitive ones. Privacy protection has become another one of the most important problems in data mining investigation.  To overcome the above issues, an Efficient Association Representative Rule Concealing (EARRC) algorithm is proposed to protect sensitive information or knowledge and offer privacy protection with the classification of the sensitive data. Representative rule concealing is one kind of the privacy-preserving mechanisms to hide sensitive association rules. The objective of this paper is to reduce the alternation of the original database and perceive that there is no sensitive association rule is obtained. The proposed method hides the sensitive information by altering the database without modifying the support of the sensitive item. The EARRC is a type of association classification approach which integrates the benefits of both associative classification and rule-based PART (Projective Adaptive Resonance Theory) classification. Based on Experimental computations, proposed EARRC+PART classifier improves 1.06 NMI and 5.66 Accuracy compared than existing methodologies.
Improving self-organizing map with nguyen-widrow initialization lgorithm
Authors: Linan Maureen Nettie N , Gerardo Bobby D , Medina Ruji P
Published: April 2019

The quality of cluster result and the learning speed of Self-organizing map (SOM) are dependent on the initialization of weights since the initial values for weight vectors affect the performance of SOM training when applied to clustering. In this paper, improvement of SOM was achieved with the application of the Nguyen-Widrow algorithm to initialize weights. Nguyen-Widrow initialization algorithm is a method for initialization of the weights of neural networks to speed up the training process. Performance of the modified SOM was determined in terms of cluster error rate and the number of iterations to achieve convergence using different datasets and results show that the modified SOM algorithm produces better cluster results and improved training speed compared to traditional SOM.
Review on mathematical models for the prediction of solar radiation
Authors: Rajasekaran Meenal , Selvakumar A.Immanuel , Rajasekaran E.
Published: April 2019

Global Solar Radiation (GSR) data is important for all solar energy based applications, mainly to forecast the output power of solar PV system in case of renewable energy integration in to the existing grid. The solar radiation components are measured using pyranometer, solarimeter, pyroheliometer and so on. It is not practically possible to install this radiation measuring instruments at all the locations due to the cost and difficulty in measurements. Hence the availability of solar radiation data is limited to few meteorological stations especially in the developing country like India. Therefore, it is necessary to develop mathematical models to predict the solar radiation to eliminate the costly pyranometer. In this paper, the review of mathematical models using trigonometric functions for the prediction of global solar radiation is presented. The mathematical models are applicable wherever the radiation data is unavailable. From the review results, it is concluded that mathematical model with both sine and cosine wave equation gives good prediction accuracy with correlation coefficient of 0.95
Influence of wind speed on the performance of photovoltaic panel
Authors: Zhe Leow Wai , Irwan Y.M. , Irwanto M. , Amelia A.R. , Safwati I.
Published: April 2019

The aim of this project is to investigate the performance of photovoltaic (PV) panel influence by wind speed in Kangar, Perlis, Malaysia. A low conversion energy efficiency of the PV panel is the major problem of a PV application system. The PV panel is absorbed solar irradiance minor converted into electrical energy, and the rest is converted into heat energy. Therefore, the heat energy generated by the PV panel is increased in its operating temperature. However, PV panel is necessary to operate them at the low operating temperatures to keep the PV panel electrical efficiency at an acceptable level. In this experiment, one unit of the PV panel was limited wind flow over its surface and the other one PV panel was operated in the normal condition. The operating temperature of the PV panel with wind speed is less than the PV panel without wind speed. This is due to wind flow over the surface of the PV panel can enhance heat extraction from the PV panel. Hence, PV panel with wind speed can generate a higher output power than that without wind speed. This improvement output performance of PV panel will have an important contribution to PV application systems.
Power applications for fuel-cell using switching regulators
Authors: Vanka Dega Rajaji , Sekhar K. Chandra
Published: April 2019

 
Generally the switch mode power supply input voltage source is constant or shows insignificant little varieties.in any case, when fuel call used input source the last assumption is not valid. A fuel cell stack is give a details of low and not controlled DC output voltage, moreover, when the demanded current increases the output voltage becomes low in a nonlinear form; from now on, suitable controller is required to taken the previously mentioned issues. In this article, a normal current-mode controller is planned to using a joined model for an energy unit stack and a boost converter; besides, the resolving control method increasing the system stability and output voltage regulation.. The proposed energy system utilizes an energy component power (polymer electrolyte film fuel cell) and a boost converter passing on power of 900 W. the proposed controller execution for output voltage regulation by means of closed loop gain estimations and step load changes. What's more, a correlation amongst open-and closed- loop estimations is made, where the controller robustness is tried for vast load varieties and fuel cell stack output voltage changes are shows on simulation results.
A control strategy on power quality improvement in consumer side using custom power device
Authors: D Danalakshmi , Bugata Srinivas , J Kohila
Published: April 2019

At a recent time voltage distortion is one of the foremost power quality problem at all level of power system. Power electronic controllers like various filtering technology have been used for more desirable solution of power quality problems to users. But still there is a voltage and frequency deviations problem in the power system leads to reduce in quality of power and thereby reduce the life of consumer equipment. To overcome this drawback and protects the sensitive loads from power quality problems, custom power devices are used. Among various custom power devices, Dynamic voltage restorer (DVR) is an ultimate solution to address the voltage correlated power quality problems. DVR is a usual three phase inverter which transforms DC to AC and vice-versa using DC link capacitor. Whenever utility is distorted by voltage correlated faults, DVR is dynamic and it shields the load from utility distortions. Whenever distortion arises, the control strategy for the DVR plays significant role to make the DVR in active condition. Among all control strategies, Synchronous reference frame theory is simple and suitable for DVR. The DVR topology is verified and validated using SIMULINK/MATLAB.