University Malaysia PerlisPerlis

Malaysia, Malaysia

University Malaysia PerlisPerlis

Malaysia, Malaysia
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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.


Hussain N.S.,University Malaysia PerlisPerlis | Basri H.H.,University Malaysia PerlisPerlis | Yaacob S.,University Malaysia PerlisPerlis | Hamzah N.H.,University Malaysia PerlisPerlis
International Journal of Applied Engineering Research | Year: 2014

Sliding mode control is known to be robust against parameter uncertainties and external disturbances. The problems in control accuracy for the attitude control of rigid satellite are studied. 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. However, the boundary layers cause the control accuracy to be not precise. 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. © Research India Publications.


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.


Muhamad F.N.,University Malaysia PerlisPerlis | Ahmad R.B.,University Malaysia PerlisPerlis | Asi S.M.,University Malaysia PerlisPerlis | Murad M.N.,University Malaysia PerlisPerlis
Jurnal Teknologi | Year: 2015

The fundamental procedure of analyzing sequence content is sequence comparison. Sequence comparison can be defined as the problem of finding which parts of the sequences are similar and which parts are different, namely comparing two sequences to identify similarities and differences between them. A typical approach to solve this problem is to find a good and reasonable alignment between the two sequences. The main research in this project is to align the DNA sequences by using the Needleman-Wunsch algorithm for global alignment and Smith-Waterman algorithm for local alignment based on the Dynamic Programming algorithm. The Dynamic Programming Algorithm is guaranteed to find optimal alignment by exploring all possible alignments and choosing the best through the scoring and traceback techniques. The algorithms proposed and evaluated are to reduce the gaps in aligning sequences as well as the length of the sequences aligned without compromising the quality or correctness of results. In order to verify the accuracy and consistency of measurements obtained in Needleman-Wunsch and Smith-Waterman algorithms the data is compared with Emboss (global) and Emboss (local) with 600 strands test data. © 2015 Penerbit UTM Press. All rights reserved.


Cherd T.V.,University Malaysia PerlisPerlis | Abu Bakar S.,University Malaysia PerlisPerlis | Yaacob S.,University Malaysia PerlisPerlis | Hamzah N.H.,University Malaysia PerlisPerlis
Jurnal Teknologi | Year: 2015

In this paper, a dynamic model equation of the RazakSAT® class satellite three flexible solar panels for three-dimensional dynamic studies is developed based on the coupling deformation field. In the model, each solar panel is flexible and attached to the satellite body via a fixed joint where the assumption of Euler-Bernoulli beam is applied for the solar panels. Lagrange and assumed mode method are used to develop the dynamic model of the RazakSAT® multi-body system. A comprehensive model of flexible satellite has been provided in ANSYS environment as a reference when simulating the theoretical response generated by MATLAB to show that the coupling effect on the characteristics of the flexible sub system while undergoing rigid-body rotational motion. © 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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