University Malaysia PerlisPerlis

Malaysia, Malaysia

University Malaysia PerlisPerlis

Malaysia, Malaysia
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Al-Obaidi K.M.,University of Malaya | Ismail M.A.,University of Malaya | Munaaim M.A.C.,University Malaysia PerlisPerlis | Abdul Rahman A.M.,Universiti Sains Malaysia
Solar Energy | Year: 2017

Daylighting technologies have been developed recently to harness solar energy, and eventually, meet the goals of sustainable development. However, the use of natural light in the tropics is challenging. Many factors limit the efficiency of solar energy because of the intensity of solar irradiance and the inconstancy of sky conditions in this region. This research aims to design and evaluate an integrated daylighting system for enclosed spaces without access to daylight from side openings. The proposed system eliminates the requirements for electrical lighting during daytime. The new design combines three components, namely, roof light, dynamic shading, and fiber optic daylighting system, in one integrated platform. The methodology was based on a quantitative approach that used empirical experiments in an actual-sized room. Two stations were set up outside and inside the test cell for data collection. The study used a data acquisition system with nine calibrated sensors to record the performance of the integrated daylighting system. The readings indicated the capability of the system to control natural light from 8:00 to 18:00, even during peak hours. Results showed that the proposed system utilized and boosted the efficiency of the individual components, and the fiber optic daylighting system delivered sufficient level of natural light within the range of 300–680 lx, at an average of 492 lx, with functionality ranging from 44% to 54%. In addition, the skylights were controlled with a dynamic shading system and delivered a maximum reading below 2000 lx during peak times, at an average of 350 lx, with functionality between 46% and 56% under the intermediate sky condition. The integrated daylighting system delivered uniform illuminance when solar irradiance was above 500 W/m2. © 2017 Elsevier Ltd


Shahab S.N.,University Malaysia PahangPahang | Zainun A.R.,University Malaysia PahangPahang | Essa E.I.,University of Tikrit | Noordin N.H.,University Malaysia PahangPahang | And 2 more authors.
Communication, Management and Information Technology - Proceedings of the International Conference on Communication, Management and Information Technology, ICCMIT 2016 | Year: 2017

Beamforming algorithms attempt to extract a desired User-Of-Interest (UOI) from the background noise and interfering signals. The performance of the beamforming algorithm is evaluated based on various QoS criteria such as beampattern accuracy and Signal-to-Interference-plus-Noise-Ratio (SINR). In this paper, the null-forming constrain is added to the single linear constrain of Minimum Variance Distortionless Response (MVDR) to overcome the effect of finite snapshots problem and the array response vector imprecision. This constraint addition improves the null-forming at the User-Not-Of Interest (UNOI) direction. This work presents a new approach for extract the accurate array response vector. Numerical results show the robustness of the proposed approach to alleviating finite data snapshots effect. Moreover, this technique minimizes the sidelobe level, accurate beam shape to the UOI direction and pattern null in the UNOIs directions. © 2017 Taylor & Francis Group, London.


Nazren A.R.A.,University Malaysia PerlisPerlis | Yaakob S.N.,University Malaysia PerlisPerlis | Ngadiran R.,University Malaysia PerlisPerlis | Wafi N.M.,University Malaysia PerlisPerlis | Hisham M.B.,University Malaysia PerlisPerlis
Advanced Science Letters | Year: 2017

This paper proved the cubic polynomial kernel design has capability to replace the famous cubic spline interpolation kernel. The main contribution this work to proven the cubic polynomial has good performance with less aliasing and blurring rather than applied cubic spline interpolation. The cubic spline kernel provided good response better than nearest neighbor and bilinear function and it was widely use in digital images signal processing application especially in super resolution techniques. Nevertheless the finding better method is never end. It has two ways to validate the performance of both techniques. An analysis is done with comparison both techniques kernel with use frequency response and measuring the highest PSNR as benchmark of this study. This study proved that the cubic polynomial produced more smooth function in frequency response and highest gain PSNR images. The propose techniques has less computational complexity and good response thus it could gain efficiency in digital image application. © 2017 American Scientific Publishers All rights reserved.


Shukor S.A.A.,University Malaysia PerlisPerlis | Shukor S.A.A.,University of Warwick
Jurnal Teknologi | Year: 2014

This paper highlights on the process of optimizing a SICK PLS 101 laser scanner sensor to collect 3D data of building interiors. The sensor, which is an industrial-based, is used to perform tasks like inspection, metrology and safety. 3D modelling of building interiors has gained a lot of interest recently, and the model can be used as the 3D as-built and assist facility management processes, as well as for preserving and conservation of old important buildings. On the other hand, not all sensors are capable of generating suitable data that can be used to produce the 3D model. LIDAR for example, is the preferred sensor in collecting interior data, but is prohibitive to some due to its cost. In addition to that, it usually comes with its own programme to collect the data, which can lead towards standardization issues. Other system like stereo vision can also be used; however it has limitations when handling occlusion and clutter while capturing in-use interior data. Thus, utilizing a SICK PLS 101 laser scanner to collect 3D interior data will provide a low cost solution in producing 3D interior models. The laser sensor can only scan in 2D for 180° horizontal area, yet by installing a servo motor, it is able to scan a hemispherical area in one operation. The overall system is sufficient to gather 3D data of a building interior – it can handle occlusions and clutter within an interior, is able to produce a standard ASCII file as well as generating output with adequate resolution, which can also solve the issues of standardization and the massive datasets created by LIDAR. As a conclusion, by optimizing a SICK PLS 101 laser scanner, we are able to produce a low cost, low level solution to gather 3D data of building interiors. Due to the restriction in cost and features of other sensors, the capability to utilize this sensor is appreciated. © 2014 Penerbit UTM Press. All rights reserved.


Shaari M.S.,University Malaysia PerlisPerlis | Abdullah D.N.C.,University Malaysia SabahSabah | Alias N.S.B.,University Malaysia PerlisPerlis | Adnan N.S.M.,University Malaysia PerlisPerlis
International Journal of Energy Economics and Policy | Year: 2016

This study aims to examine the effects of research and development expenditure on economic growth and carbon dioxide (CO2) emission in the panel data for the period of 1996-2011 from five nations (Germany, Russian Federation, United Kingdom, United States and Canada). The panel co-integration was conducted and the results show that there is co-integrated relationship among the variables (research and development [R&D], gross domestic product [GDP], energy use and CO2 emission). Then the fully modified ordinary least squares (FMOLS) test was performed and the findings explain that energy use and R&D are the determinants of GDP. Results from FMOLS show that energy use and R&D are the determinants of GDP. Energy use and GDP are the determinants of CO2 emission. Results from dynamic ordinary least squares show that R&D is important to boost economic growth while energy use, GDP and R&D can have deleterious effects on CO2 emission. Therefore, it is important to control the R&D expenditure to balance economic growth and environmental conservation. © 2016, Econjournals. All rights reserved.


Vijayasarveswari V.,Embedded Network and Advance Computing Research Cluster ENAC | Khatun S.,Embedded Network and Advance Computing Research Cluster ENAC | Jusoh M.,Embedded Network and Advance Computing Research Cluster ENAC | Fakir M.M.,University Malaysia PerlisPerlis
International Journal of Applied Engineering Research | Year: 2016

Breast cancer is one of the main causes of womens’ deaths worldwide. Early detection of the breast cancer can reduce death risk. During the breast cancer detection, it is important to classify the type of the tumor whether it is benign or malignant for futher action. This paper presents the Ultra-wideband (UWB) based classification of the tumor type based on dielectric properties (permittivity and conductivity). The developed system consists of a pair of home-made antennas as well as UWB transceivers to send and receive the signal. Two antennas are placed diagonally, at opposite sides of the phantom. UWB pulses are transmitted from one side of the phantom and received from the other side. K-fold based feed forward neural network is used to train, validate and test the collected signal. Four folds are used and each fold consists of 8 data samples. The detection accuracy of permittivity and conductivity are 88. 57% and 92. 67% respectively. Classification of tumor in the early stage will help user to receive treatment as soon as possible and can save precious human lives. © Research India Publications.


Hussain N.S.,University Malaysia PerlisPerlis | Basri H.H.,University Malaysia PerlisPerlis | Yaacob S.,University of Kuala Lumpur
Jurnal Teknologi | Year: 2015

Sliding mode control is known to be robust against parameter uncertainties and external disturbances. Based on the dynamic equation of motion, a sliding mode controller is designed to solve this problem. However, for the sliding surface to be attractive, a switching function is used in the control law, which caused chattering of the control signal. In order to avoid this, a boundary layer method is considered in the modified controller. So this paper proposes new boundary layer designs that resolve the problem in control accuracy and control signal smoothness in sliding mode control. The propose design improve the system state to almost zero with no chattering in the control signals. © 2015 Penerbit UTM Press. All rights reserved.


Munaaim M.A.C.,University Malaysia PerlisPerlis | Al-Obaidi K.M.,University of Malaya | Ismail M.R.,Universiti Sains Malaysia | Rahman A.M.A.,Universiti Sains Malaysia
Jurnal Teknologi | Year: 2015

Electrical lighting consumed 13% to 43% from overall energy which considered as second major usage of electrical energy in a building. Fibre optic daylighting is a potential approach for the remote source daylighting which is able to minimize the usage of electrical light if the minimum recommended standard of human comfort is achieved.Since the internal humidity also plays an important role in human comfort, the objectives of this research are to investigate the effects of the application inside building for humidity.This research assessed the potential of fibre optic daylighting for interior illumination using 4 m × 5 m × 2.8 (H-Ceiling) spaces through empirical data collection in an actual environment. The data were collected for every 5 minutes from 8:00 AM to 6:00 PM on the 17th May 2013 until the 2nd June 2013 using 4 computer-linked sensors to record humidity for both external and internal building. The comparison approach was selected in analyzing the data collected with the observation..It is shown that the fibre optic daylighting system has no significant effect in relative humidity even possibly increases the internal room temperature by 2°C. © 2015 Penerbit UTM Press. All rights reserved.


Zhao P.J.,University Malaysia PerlisPerlis | Basah S.N.,University Malaysia PerlisPerlis | Shukor S.A.A.,University Malaysia PerlisPerlis
Jurnal Teknologi | Year: 2015

High demand of building construction has been taking places in the major city of Malaysia. However, despite this magnificent development, the lack of proper maintenance has caused a large portion of these properties deteriorated over time. The implementation of the project - Automated Detection of Physical Defect via Computer Vision - is a low cost system that helps to inspect the wall condition using Kinect camera. The system is able to classify the types of physical defects -crack and hole - and state its level of severity.The system uses artificial neural network as the image classifier due to its reliability and consistency. The validity of the system is shown using experiments on synthetic and real image data. This automated physical defect detection could detect building defect early, quickly, and easily, which results in cost saving and extending building life span. © 2015 Penerbit UTM Press. All rights reserved.


Paulraj M.P.,University Malaysia PerlisPerlis | Teh J.,University Malaysia PerlisPerlis
Jurnal Teknologi | Year: 2015

Differentially enabled communities face much difficulties and challenges in their life time while commuting from one place to another. Power wheelchairs were designed to aid the movement of these differentially enabled subjects and a Brain Computer Interface can also be applied to replace the existing conventional joystick method of controlling the movement of a wheelchair without using hands. In this research work, a simple protocol is proposed to record the EEG signals emanated from a subject while the subject performed four different kinesthetic motor imagery tasks. The noise present in the EEG signals are removed and three different feature sets, namely, power spectral density, Mel-frequency cepstral coefficients and Mel-frequency band structure based energy features are extracted. The extracted features are then associated to the type of motor imagery tasks and three multi-layer Perceptrons trained with Levenberg-Marquardt method are developed. The performance of the three Perceptron models are evaluated in term of classification rate and compared. From the results, it is observed that the Perceptron model trained with Mel-frequency band structure based features has yielded a higher classification accuracy for all 5 subjects, which is between 92.64-97.72%. The obtained result clearly indicates that the Mel-frequency band structure based features has potential to classify the four different motor imagery tasks. © 2015 Penerbit UTM Press. All rights reserved.

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