bluuebunny/crossref_metadata_2025_split huggingface dataset:
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

<p class="IEEEAuthorAffiliation">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.</p>
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

<span class="s22">In this paper, we proposed a hexagonal shaped </span><span class="s22">microstrip</span><span class="s22"> 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</span><span class="s22">,</span><span class="s22"> and two CLLR are also used on t</span><span class="s22">he bottom of antenna to obtain</span><span class="s22"> the extra dual resonant frequency at 2.4 GHz and 9.1 GHz for </span><span class="s22">B</span><span class="s22">luetooth and radar applications respectively. The proposed design is implemented using FR4 epoxy substrate. The relative permittivity of the substrate is 4</span><span class="s22">.4. The overall size of designing</span><span class="s22"> antenna is 26 × 30 mm2 with 1.6 mm as thickness and fed by standard feed line of 50 Ω </span><span class="s22">microstrip</span><span class="s22">. The results obtained from the simulation indicate that the designed antenna attains a good bandwidth from 1.1 GHz – 10.69 GHz with VSWR &lt; 2 and return loss &lt; -10 </span><span class="s22">dB.</span><span class="s22"> The proposed geometry is s</span><span class="s22">imulated by using the </span><span class="s22">Ansoft</span><span class="s22"> HFSS </span><span class="s22">simulator working on the principle of FEM and results are also analyzed.</span>
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

<span>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. </span>
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

<p>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.</p>
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

<p class="Abstract">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.</p>
Formulation of an integrated social commerce framework to promote social capital for energy sectors
Authors: Shanmugam Mohana , Karunakaran Vinitha , Amidi Asra 
Published: April 2019

<p>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.</p>
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

<p><em> 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.</em></p>
Prediction of hypertention drug therapy response using K-NN imputation and SVM algorithm
Authors: Muflikhah Lailil , Hidayat Nurul , Joko Hariyanto Dimas 
Published: April 2019

<p>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.<em></em></p>
Crowd behavior analysis using MoDTA approach
Authors: C Savitha , D Dr. Ramesh. 
Published: April 2019

<span>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<span> </span>people location in an image, </span>so that is <span>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.<span> </span></span>
Automatic moving foreground extraction using random walks
Authors: Boulfrifi Idir , Housni Khalid , Mouloudi Abdelaziz 
Published: April 2019

<p>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.</p>
Protecting sensitive information utilizing an efficient association representative rule concealing algorithm for imbalance dataset
Authors: Babu Mylam Chinnappan , Pushpa Sankaralingam 
Published: April 2019

<span>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.</span>
Improving self-organizing map with nguyen-widrow initialization lgorithm
Authors: Linan Maureen Nettie N , Gerardo Bobby D , Medina Ruji P 
Published: April 2019

<span lang="EN-US">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.</span>
Power applications for fuel-cell using switching regulators
Authors: Vanka Dega Rajaji , Sekhar K. Chandra 
Published: April 2019

<p><strong> </strong></p>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.
Resolving of optimal fractional PID controller for DC motor drive based on anti-windup by invasive weed optimization technique
Authors: Obaid Badriyah Ahmed , Saleh Ameer Lateef , Kadhim Abbas Kareem 
Published: April 2019

This paper exhibits a design procedure for tuning the parameters of Fractional Order Proportional Integral Derivative (FOPID) P controller to optimize the DC motor drive operation. The optimization technique is establishing on Invasive Weed Optimization (IWO). This paper also proposes the use of anti-windup aspect to against the saturation which may occur in the FOPID controller. The objective of this design is to improve the performance of the drive subjected to different transient response and loading conditions. A comparative study is carried out with a classical PID controller. The Matlab simulation results show more improvements in the proposed system.
Effort of NGO in Promoting Comprehensive Sexuality Education to Improve Quality of Life among Local and Refugee Communities
Authors: Jiar Yeo Kee , Lee Shih Hui , Handayani Lina 
Published: April 2019

Federation of Reproductive Health Association, Malaysia (FRHAM) is a pioneer Non-governmental Organization (NGO) in disseminating the knowledge and services of sexual reproductive health in Malaysia. A qualitative case study research design was employed to explore the roles of FRHAM in promoting Comprehensive Sexuality Education (CSE) for the well-being of locals and refugees’ communities. In-depth interviews were conducted with the staffs of FRHAM to inquire about their effort in delivering their services. The interviews were recorded, transcribed, coded and emergent themes were identified. FRHAM had played a part as educator, service provider, advocate and actively involved in improving the quality of life among the refugee community. The organization had developed modules for CSE and conducted programs for dissemination of knowledge. They also collaborated with local governmental agencies and other NGOs to promote awareness and utilization of services among the communities. Nevertheless, promoting CSE had experienced many challenges in Malaysia. The perceptions of Malaysian viewing sexuality education as taboos, cultural factors, the reluctance of educators in delivering, and the low visibility of FRHAM are the barriers encountered by FRHAM in promoting CSE. FRHAM recommended including parents, teachers and other stakeholders in the promotion of CSE and acknowledging CSE as an official subject to be implemented in schools. The information from this study may encourage more partnerships between the stakeholders, policy makers and NGOs for providing high quality CSE and sexual reproductive health services.