bluuebunny/crossref_metadata_2025_split huggingface dataset:
Detection of keratoconus in anterior segment photographed images using corneal curvature features
Authors: Mat Daud Marizuana , Wan Zaki Wan Mimi Diyana , Hussain Aini , Mutalib Haliza Abdul 
Published: April 2019

Keratoconus is a corneal ectatic disorder with complex aetiology and may induce mild to severe visual impairment and consequently decrease the quality of life. This paper presents a new keratoconus detection method using corneal curvature features to differentiate normal and keratoconus cases. In this study, the eye images known as anterior segmented photographed images (ASPIs) are captured from side view using a smartphone’s camera. For the side-view images, the corneal curvature is segmented using spline function to measure the corneal curvature. A template disc method is implemented to quantitatively measure the steepening of the corneal curvature of the captured ASPIs. Parameters obtained from three different template disc methods, namely, nonlinear, , crossover point, , and trigonometric, , are investigated to represent the most suitable curvature feature. SVM is then employed to classify normal and keratoconus eyes. Results reveal that a standalone nonlinear method gives a reliable parameter with 90% accuracy in classifying the data. However, the classification performance has increased to 99.5% accuracy with the use of all combined features known as a feature vector, . Additionally, classification with the proposed has successfully distinguished normal and keratoconus cases with sensitivity and specificity rates of 99% and 100%, respectively. The results portray the bright potential of this method in assisting experts during ocular screening specifically to detect keratoconus disease.
Augmented reality application for location finder guidance
Authors: Rosman Anatun Nadrah , Samsudin Noor Azah , Ismail Azizan , Aripin Muhammad Syariff , Khalid Shamsul Kamal Ahmad 
Published: April 2019

<p>Finding directions to a specific location can be troublesome especially when we are not familiar with a new area. Conventionally, we may want to ask people around or possibly we use Global Positioning System (GPS) navigator. However, using GPS navigator may not be the best solution if the address is not entered accurately. Therefore, this paper presents an augmented reality (AR) application for location finder guidance. Instead, a user is only required to scan the address indicated on a surface such as card or flyer using smart phone camera.The proposed application has utilized various components of AR technology including multiple image target, virtual button and markerless features. The development of the AR application follows phases of activities in Multimedia Mobile Content Development (MMCD) model. The proposed application is found to be very interactive and convenient in finding directions to specific location.</p>
Identification of plasmodium falciparum and plasmodium vivax on digital image of thin blood films gf
Authors: Adi Nugroho Hanung , Wibawa Made Satria , Setiawan Noor Akhmad , Herdiana Murhandarwati E. Elsa , Budiani Buana Ratna Lestari 
Published: April 2019

<span>Observing presence of <em>Plasmodium</em> parasite of stained thick or thin blood films through microscopic examination is a gold standard for malaria diagnosis. Although the microscopic examination has been extensively used, misidentification might occur caused by human factors. In order to overcome misidentification problem, several studies have been conducted to develop a computer-aided malaria diagnosis (CADx) to assist paramedics in decision-making. This study proposes an approach to identify species and stage of <em>Plasmodium falciparum</em> and <em>Plasmodium vivax</em> on thin blood films collected from the Laboratory of Parasitology, Faculty of Medicine, Universitas Gadjah Mada. Adaptive k-means clustering is applied to segment <em>Plasmodium </em>parasites. A total of 39 features consisting of shape and texture features are extracted and then selected by using wrapper-based forward and backward directions. Classification is evaluated in two schemes. The first scheme is to classify the species of parasite into two classes. The second scheme is to classify the species and stage of parasite into six classes. Three classifiers applied are k-nearest neighbour (KNN), support vector machine (SVM) and multi-layer perceptron (MLP). Furthermore, to facilitate the multiclass classification, one-versus-one (OVO) and one-versus-all (OVA) methods are implemented. The first scheme achieves the accuracy of 88.70% based on MLP classifier using three selected features. While the accuracy gained by the second scheme is 95.16% based on OVO and MLP classifier using 29 selected features. These results indicate that the proposed approach successfully identifies the species and stage of parasite on thin blood films and has potential to be implemented in the CADx system for assisting paramedics in diagnosing malaria.</span>
Systemic approach for optimizing information technology resource as a contribution of information system governance
Authors: Falih Noureddine , Jabir Brahim , Rahmani Khalid 
Published: April 2019

<p> Information technology (IT) resource management is considered as one of the main pillars of Information System (IS) governance in the company. In this article, we propose a systemic approach from the structural paradigm based essentially on the formal extension of the ISO 19440 Meta-model. This structure contains specific constructs from the Cobit framework and system tools as the Galois lattices, likely to bring a better vision of the use of IT resource in the company. This technique allows a systemic analysis applied to special structural matrices to evaluate the deployment mode of IT resource to achieve business processes. Such approach allows a good optimization of IT resource as a pragmatic and effective contribution to Information System governance.</p>
Neural soft computing based secured transmission of intraoral gingivitis image in e-health care
Authors: Sarkar Arindam , Dey Joydeep , Chatterjee Minakshi , Bhowmik Anirban , Karforma Sunil 
Published: April 2019

<p><em> </em>In this paper, a key based soft computing transmission of intraoral<strong> </strong>gingivitis image has been proposed without the exchange of common key in between the nodes. Gingivitis has been a type of periodontal disease caused due to bacterial colonization inside the mouth, having the early signs of gum bleeding and inflammations in human beings. In E-health care strata, online transmission of such intraoral images with secured encryption technique is needed. Session key based neural soft computing transmission by the dentists has been proposed in this paper with an eye to preserve patients’ confidentiality factor. To resist the data distortion by the eavesdroppers while on the transmission path, secured transmission in a group of tree parity machines was carried out. Topologically same tree parity machines with equal seed values were used by all users of that specified group. A common session key synchronization method was applied in that group. Intraoral image has been encrypted to generate multiple secret shares. Multiple secrets were transmitted to individual nodes in that group. The original gingivitis image can only be reconstructed upon the merging of threshold number of shares. Regression statistics along with ANOVA analysis were carried out on the result set obtained from the proposed technique. The outcomes of such tests were satisfactory for acceptance.<em></em></p>
Spectral coding performance under free space optical medium
Authors: Rahman A.K , Julai N , Jusoh M. , Rashidi C.B.M , Aljunid S.A , M.S Anuar , Talib M.F , Zamhari Nurdiani , Sahari S.K , Tamrin K.F. , Jong Rudiyanto P. , Zaidel D.N.A , Mohtadzar N.A.A , Sharip M.R.M , Samat Y.S 
Published: April 2019

<span> This paper focus on performance of code Zero Correlation-Correlation (ZCC) in free space optical communication. The ZCC code has a superior characteristic which eliminate the overlapping code between any users. Due to this high class characteristic, the code improves the performance of the conventional code in free space optical environment. In this paper the analysis performance of bit error rate is considering the avalanche (APD) noise, thermal noise and multiuser interference. The result shows that ZCC code improve the performance of conventional code in term of number of users, power received and data bit rate.</span>
Influence of optimization of control factors on threshold voltage of 18 nm HfO2/TiSi2 NMOS
Authors: Atan Norani , Yeop Majlis Burhanuddin Bin , Bin Ahmad Ibrahim , H. Chong K. 
Published: April 2019

<span>This paper presents the influence of control factors as the process in development of 18 nm gate length NMOS transistor. The threshold voltage (VTH) can be minimized by optimal the control factors. Five control factors were selected through experiments. They are Adjustment VTH Implantation, Compensation Implantation, Compensation Energy Implantation, Source/Drain Implantation and Halo Implantation. While the two noise factors were introduced which are Phosphor Silicate Glass (PSG) temperature and Boron Phosphor Silicate Glass (BPSG) temperature to complete the combination with five control factors in process of Taguchi method L27 orthogonal array. The purpose of this research is to find the best value of interaction between combination controls factors and noise factors to achieve the best point of threshold voltage. In CMOS design, the threshold voltage is the benchmarking of physical parameter for determining the functional of transistor. The Virtual Wafer Fabrication SILVACO software was used to fabricate the 18 nm NMOS device. Hafnium Oxide (HfO2) and Titanium dioxide (TiO2) were utilized as the high-K materials and the Titanium Silicide (TiSi2) was utilized as metal gate. The statistics data are from the signal noise ratio (SNR) with nominal-the best (NTB) and the analysis of variance (ANOVA) of L27 orthogonal array are executed to minimize the variance of threshold voltage. The results show that the optimization and interaction method is achieved to perform the threshold voltage value with least variance is 0.3055 volts while the target value that is 0.302 ± 12.7% volts from value recommendation by the International Roadmap for Semiconductor prediction 2012.</span>
Convolutional neural network vs bag of features for bambara groundnut leaf disease recognition
Authors: Hamzah Hafizatul Hanin , Sabri Nurbaity , Ibrahim Zaidah , Isa Dino 
Published: April 2019

This paper investigates bambara groundnut leaf disease recognition using two popular techniques known as Convolutional Neural Network (CNN) and Bag of Features (BOF) with Speeded-up Robust Feature (SURF) and Support Vector Machine (SVM) classifier. Leaf disease recognition has attracted many researchers because the outcome is useful for farmers. One of the crops that provide high income for farmers is bambara groundnut but the leaves are easily infected with diseases especially after the rain. This could affect the crop productivity. Thus, automatic disease recognition is crucial. A new dataset that consists of 400 images of the infected and non-infected leaves of bambara groundnut has been constructed. The experimental results indicate that both of these techniques produce excellent leaf disease recognition accuracy.
A novel approach of multiplier design based on BCD decoder
Authors: Alkurwy Salah 
Published: April 2019

<p><span>A novel approach of multiplier design is presented in this paper. The design </span>idea is implemented based on binary coded decimal (BCD) decoder to seven segment display, by computing all the probability of multiplying 3 3 binary digits bits and grouping in table rows. The obtaining of the combinational logic functions is achieved by simplified the generated columns of [A<sub>5: </sub>A<sub>0</sub>]<sub>, </sub>using a Karnaugh map. Then, the 3 3-bits multiplier circuit is used to implement the 6x6- and 12x 12-bit multipliers. Comparing with a conventional multiplier, the proposed design outperformed in terms of the time delay by a 32% and 41.8% respectively. It is also reduced the combinational adaptive look-up-tables (ALUTs) by 24.6%, and 46% for both multipliers. Both overmentioned advantages make the proposed multipliers more attractive and suitable for high-speed digital systems</p><p> </p><p> </p><p> </p><p> </p><p> </p><p> </p>
The effectiveness of frog VLE implementation: students’ perspective
Authors: Majid Rogayah Abdul , Hasim Juhaida Che 
Published: April 2019

This paper presents the effectiveness of the Frog VLE implementation from students’ perspectives. Virtual Learning Environment (VLEs) is an online systems supporting interactions between and amongst learners and teachers in school. The Frog VLE is a web-based learning system that replicates real life learning by incorporating virtual learning equivalent of traditional concepts of education with the aim to enhance the learning experience beyond the bounded classroom background. Previous studies have identified some difficulties in the Frog VLE implementation such as competency of the teachers and student, facilities and infrastructure of implementing the Frog VLE in school. Therefore, the aim of this study is to measure the effectiveness of the Frog VLE implementation from student perspective as VLE platform may lead to the performance improvement among the students. A survey was conducted with 315 participants, consists of Year 4 and Year 5 primary school students in Shah Alam. The result of the study shows that from the “nature of student self, teacher’s competency, useful and ease of use of the application, and conducive learning environment have improve students’ academic performance and motivation.
Conceptual implementation of a data logger with a graphical user interface data extraction program
Authors: Fazil Rahman Ahmad Shukri Fazil Rahman , Mat Zali Samila , Yaakob Shamshul Bahar , Abdul Razak Abdul Rahim , Hasan Mohd Zamri , Mohd Tahar Siti Hajar 
Published: April 2019

<span lang="EN-MY">A Graphical User Interface (GUI) design was developed to extract data from a data logger. The low-cost data logger was developed using a common pic18f4550 microcontroller. Simple data recording feature is implemented by using the </span><span>Electrically Erasable Programmable Read-Only Memory (</span><span lang="EN-MY">EEPROM) module from the microcontroller unit. The GUI software employed VB.net 2013 and has been tested to work in window 10 environment. Simulation work was performed with temperature and humidity sensors using Proteus VSM software. Upon simulation, the GUI shows its capability of extracting measured data from the data logger and converting the data to a Comma-Separated Values, (CSV) format for further analysis.</span>
Healthy life expectancy vs health expenditure by sullivan method in Malaysia
Authors: Omar Muhammad Hakeem , Asmuni Nurin Haniah , Shima Sharifah Nazatul 
Published: April 2019

<span lang="EN-MY">The improvement of mortality rates in many countries over the world has a major impact on cost associated with living longer due to mortality and morbidity risk. In particular, the trend in life expectancy of Malaysian population has steadily increased for many years where in 2017, Malaysian are expected to live up to 74.8 years compared to 74.3 years in 2011. Life expectancy can be defined as the average period of a person may expect to live, while the definition of disability-free life expectancy is the average number of years a person is expected to live without health disability. If a person takes a good care and services through the advancement of medical technology, it may expend the period of life expectancy for a person. Thus, longevity may have a positive relationship with health expenditure. United State for instance spends more on health across years, however United State becomes the outlier as compared to other countries with higher percentage of increase in life expectancy per dollar spent on health expenditure. Disability or disability-free life expectancy can rise at certain degree among Malaysian. The general public do not know whether longevity will expose a person to a greater period spend in disability state or not. Therefore, this paper presents healthy life expectancy vs. health expenditure by Sullivan method in Malaysia to provide further understanding of morbidity rate for Malaysian population due to longevity. This paper calculates the disability-free life expectancy for Malaysian population which then will be used in country comparison. Relationship between disability-free life expectancy and health expenditure will be studied. Sullivan method will be applied in the calculation by using a period life table based on age and gender groups.</span>
Design and implementation of a smart monitoring system for water quality of fish farms
Authors: Salih Nahla Abdul Jalil , Hasan Ihsan Jabbar , Abdulkhaleq Nadhir Ibrahim 
Published: April 2019

Fish farms are one of the most important sources of profitability for farmers. Therefore, these farms must be cared for and monitored continuously. the paper discuss a smart system monitoring in a new way that we designed to monitor the quality and temperature of the fish pond’s water. This system has been designed and implemented to measure and monitor the pH and the temperature value of the fish pond’s water in real time. The system is divided into a measuring and monitoring part. The measuring part uses Arduino UNO as a microcontroller to measure the pH and temperature from the sensors. The data is then sent to the second part by Bluetooth. The second part (the monitoring part), is a new application for smartphone designed by ‘MIT App Inventor 2’, which monitors the status of the full system. The ‘MIT App Inventor 2’ is a google software (opensource) that enables you to easily build an Android application. The main advantage of this system is its ability to monitor the fish farms from long distances, with low cost and high reliability.
Improving spectrogram correlation filters with time-frequency reassignment for bio-acoustic signal classification
Authors: Samad Salina Abdul , Baseri Huddin Aqilah 
Published: April 2019

<p>Spectrogram features have been used to automatically classify animals based on their vocalization. Usually, features are extracted and used as inputs to classifiers to distinguish between species. In this paper, a classifier based on Correlation Filters (CFs) is employed where the input features are the spectrogram image themselves. Spectrogram parameters are carefully selected based on the target dataset in order to obtain clear distinguishing images termed as call-prints. An even better representation of the call-prints is obtained using spectrogram Time-Frequency (TF) reassignment. To demonstrate the application of the proposed technique, two species of frogs are classified based on their vocalization spectrograms where for each species a correlation filter template is constructed from multiple call-prints using the Maximum Margin Correlation Filter (MMCF). The improved accuracy rate obtained with TF reassignment demonstrates that this is a viable method for bio-acoustic signal classification.</p>
Energy efficient clustereing method for wireless sensor network
Authors: HV Chaitra , G.K Dr. Ravikumar 
Published: April 2019

<p>Wireless sensor has attained wide interest across various industries due to availability of low cost sensor device. Preserving battery/energy of these sensor device is most desired. Recently, many approaches has been presented to improve lifetime of sensor network adopting clustering technique. Cluster head selection play an important factor in improving lifetime of cluster based network. For improving cluster head selection multi-objective function are presented in recent time by adopting evolutionary computing and metaheuristic algorithm. However, the existing model incurs computation overhead due to NP-Hard problem and connectivity issues is not considered. Thus affecting network performance. To address the research issues, this work present a novel Multi-objective imperialist competitive algorithm (MOICA) for cluster head selection and routing optimization. Experiment are conducted to evaluate the performance of MOICA over LEACH in term of lifetime performance considering first sensor node death and 75% sensor node death. The outcome shows MOICA achieves significance improvement over LEACH based protocols. </p>
Enhancement of optical code division multiple access system based on 2D ZCC/MD spectral/spatial code
Authors: Matem Rima , A. Aljunid S. , N Junita M. , M Rashidi C. B. , Shihab Aqrab Israa 
Published: April 2019

<span>The combination of 1D zero cross correlation (ZCC) and 1D Multi Diagonal (MD) results a new two dimensional hybrid called 2D ZCC/MD code for spectral/spatial OCDMA system. The proposed code aims to enhance the functional qualities of Optical Code Division Multiple Access (OCDMA) and to overcome the limitations of one dimensional codes. In this paper, 2D ZCC/MD is evaluated at data rate; 622Mbps. A comparison of the proposed 2D ZCC/MD code to 1D Random Diagonal (RD) and 1D Modified Double Weight (MDW) highlight that 2D ZCC/MD can support a large number of active users even at the higher user bit rate. Furthermore, in term of effective power 2D ZCC/MD can achieve lower effective power.</span>
Performance evaluation of optical attocells configuration in an indoor visible light communication
Authors: M. Gismalla M.S. , L. Abdullah M.F. 
Published: April 2019

Visible light communication VLC is deemed as futuristic technology applied for both illumination and data communication due to the low-cost energy consumption, long life expectancy, huge bandwidth, and high security compared to radio frequency RF. Uncovered area, minimum signal-to-noise ratio (SNR) and received power results from the non-uniform distribution of small base stations (i.e. Optical attocells) in the room. In this paper, the researchers propose a new LEDs distribution of five optical attocells configuration model in order to optimize the received power distribution and SNR at the center of the room for indoor VLC system. The optical attocells configuration in terms of received power to fill the uncovered area at the center of the room has been investigated. The simulation results showed that the proposed attocells configuration saved 24.9% of the transmitted power. Besides that, the whole room was covered uniformly. As a result, the received power and SNR are improved.
An enhanced distributed control-theoretic time synchronization protocol using sliding mode control for wireless sensor and actuator network
Authors: Chin Koo Yeong , Nasiruddin Mahyuddin Muhammad 
Published: April 2019

<span>Time synchronization is very important in a wireless sensor and actuator network (WSAN) as it provides a common time notation to the WSAN. To handle the time synchronization issue, this paper presented an enhanced distributed control-theoretic time synchronization protocol for wireless sensor and actuator networks, named Time Synchronization using Distributed Observer algorithm with Sliding mode control element (TSDOS). In this protocol, an augmented sliding mode control element is used for robustification purpose. From the theoretical convergence analysis and simulation results presented in this paper, it proved that the proposed TSDOS is the best if compared to another two algorithms from the literature in terms of cumulative integral absolute error.</span>