bluuebunny/crossref_metadata_2025 huggingface dataset:
Non – Vision Based Sensors for Dynamic Hand Gesture Recognition Systems: A Comparative Study
Authors: H T Panduranga , C Mani.
Published: April 2019

Gestures are considered as a type of configuration associated with motion in concerned body part, signifying meaningful information or expressing motion or intending to command and control.  Wide ranges of sensors working with different technology are available in market.  Gesture recognition process involves steps like data acquisition from sensor, segmentation, an algorithm for taking gesture data as input, an algorithm to extract parameters and algorithm to classify hand gestures.  Three - dimensional hand gestures have been widely accepted for advanced applications like creation of virtual world where in users can feel the naturality of interacting or playing a musical instrument without presence of any physical device.  Techniques for dynamic finger gesture recognition can be classified as visual based and wearable sensor based.  The purpose of this paper is to compare various non – vision based sensors with different tracking technologies, updating advantages and drawbacks helping investigators and researchers working on this area.
A Novel Compressed Encrypted and Encoded Watermark Embedding Scheme for Digital Images
Authors: S Rohith , K Sujatha B
Published: April 2019

In this research work a novel idea of compressed, encrypted and encoded watermark embedding scheme for digital images is proposed. Initially watermark is compressed using Huffman encoder. Compressed watermark is encrypted using combined binary key sequence {Ki} derived from sequence of logistic map and Lozi map. The compressed and encrypted binary watermark is encoded using (n,1) repetition code. This compressed, encrypted and encoded binary watermark is embedded in alternate locations of cover image pixels using of Least Significant Bit (LSB) and Second Least Significant Bit (SLSB). To study the watermarked image quality, parameters such as Signal to Noise Ratio (SNR) and Mean Square Error (MSE) are used.  Also performance of the proposed system is compared with uncompressed, encrypted, encoded watermark embedding scheme. There is a significant improvement in MSE, SNR of watermarked image, when compressed watermark embedding scheme is compared to uncompressed watermark embedding scheme.
Controller Design for Energy Scheduling in Wireless Sensor Network Device Modeling
Authors: Kumar Pattem Sampath , K Jayasankar , V Sumalatha
Published: April 2019

Wireless sensor network is upcoming in the stream of wireless network. System design for node scheduled of wireless device. In device designing, the nodes are used for the transmission, the device with a coding approach for power planning in wireless network. The approach of power organizing is done by the thought of system topology and hub control level. Rather than the regular power organizing approach where in planning of power is completed considering detached hubs. In this paper the hub dispersion and system engineering is considered and in worry to the neighbouring hub trademark and power planning is done. This method of correspondence is seen to be more proficient in correspondence than the regular level topology approach, which takes after a disjoint based wake up organizing plan.
Optimal Control Signal for an EEG Based Casual BCI
Authors: Sen Purkayastha Satyajit , K Jain V , K Sardana H
Published: April 2019

BCI (Brain computer interface) is a control and communication system which allows electrophysiological activity to control a computer or a peripheral device directly, without taking the natural route of peripheral nerves and muscles. The prime motive behind developing BCI technology was its ability to act as the only interactive link for people disabled by amyotrophic lateral sclerosis (ALS), cerebral palsy, spinal cord injury, stroke and similar neuromuscular disorders of high severity. However in the last decade, a gradual shift in BCI end-users from patients to casual (healthy) individuals has increased significantly. Because of this shift, BCI community has recognized the need for EEG based casual BCI to be more efficient and user friendly, keeping in mind the customized needs of healthy (Casual) user. So for increasing the performance of such BCIs, the selection of optimal control signal plays a very significant role. Hence, in this work, we evaluate various EEG control signals (CS) in accordance with considerations relevant to user-friendliness of casual BCIs and point up their neuro-physiological origins as well as their effectiveness in current applications. Finally, we recommend a set of parameters for selection of optimal EEG based control signal for casual BCIs and the best suitable option available among the present day control signals.
Sustainability through Underground Urbanization
Authors: Singh Shubham , Chaudhary Piyush , Vashisht Akshay , Singh Jagdeep
Published: April 2019

Urbanization in past few decades has grabbed a huge amount of our agricultural land leading towards various climatic problems as well as endangering our sustainability. Thereby, utilizing the underground earth space instead of using land mass and its resources will transform the lifestyle and will sustain our livelihood. Civilizing and urbanizing underground ecologically enables our sustainability and will contribute to protect the natural resources for future.  The better utilization of land and sustainable use of earth space will play a vital role to protect our natural resources and maintaining our sustainability. As various research and study shows our planet can sustain up to 11 billion population and we are currently 7.6 billion right now, which is considered to reach deadline till the end of this century. Therefore, utilizing underground earth space will provide enough space for building sector and agriculture sector and will serve the purpose in both ways. Thus, it is quite important to clear the way for sustainable pattern of underground civilization.
Enhanced Medical Image Watermarking Scheme with CLA-HE& DWT, SVD Transforms
Authors: Gajula Srinivasarao , V Rajesh
Published: April 2019

In order to get clear information regarding patient it is necessary to enhance medical images like MRI, CT scan, ultrasound etc.  For clinical diagnosis, we have to transmit it through the communication network. During this process information must be protected from malicious users. In this process these images are manipulated, so to protect these images we have to follow some security requirements. In this paper, we are increasing the quality of the image by using enhancement with clahe technique and that enhanced image is watermarked for security purpose by using DWT, SVD transforms with a scaling factor as uniform distribution function. The performance evaluation parameters will give better results for medical as well as under water images. The obtained results are very helpful for integrity of medical images. The technique will provide better response for medical images. This method will give good results in terms of improvement in output, Peak Signal to Noise Ratio (PSNR) and Mean Square Error (MSE).
Technical performance of basalt fiber reinforced polymer BFRP confined RC driven piles new construction methodology
Authors: Prakash Arul Jose J , Rajesh Prasanna P , Prakash Fleming
Published: April 2019

Pile foundations are often necessary to support large structures when the surface soil conditions are not strong enough to support the structure with shallow foundations. Pile foundation can be founded in dense sand layers at deeper, and also provide additional frictional support along their length to resist vertical loads. Load carrying capacity of Basalt FRP confined and unconfined piles were found out using the dynamic formulae and pile load test. Safe load carrying capacity of piles determined from piles load test was slightly higher than the dynamic formulae. The experimental result also shows that surface roughness of specimen is significantly changes the interface friction angle. The shear strength at the interface increases with the increase in surface roughness of the specimens.
Relationship between ‘Big Data’, ‘Internet of People &Thing’ and ‘Internet of Signs &Things’
Authors: Sen Vidhi , Mishra Priyanka
Published: April 2019

This paper will try to determine the co-relationship exist in between ‘Big Data’, the ‘Internet of People and Things’ and   the ‘Internet of Signs.’ Specifically , we will find out  various ways  through which  the ‘things’ present  in the ‘Internet of Things’ makes  ‘Big Data’, and the various ways  through which both are combined in order to form  semiotic ‘signs’. We will find out how context is important and also the various types of  relations  that exists in  between ‘Big Data’, the ‘Internet of People & Things’, and the ‘Internet of Signs’.
Exploring the challenges confronting the west Africa climate system
Authors: M.E Emetere , M.L Akinyemi , M.E Ojewumi , B.M Muhammad , . .
Published: April 2019

The peculiar location of West Africa on the World map suggests that the region is prone to be under severe atmospheric influences from other regions. With a population of over 300 million people, the human activity and its corresponding impact on the climate system of the region is worth noting. The meteorological exploration of funded projects like AERONET, AMMA, DACCIWA etc. in West Africa shows the peculiarity of the danger that life-forms in West Africa might be facing in the next two decades. The documentation of salient discoveries over the West Africa Monsoon and whose challenges may be the possible answers to questions on the West Africa climate system. A re-view on the satellite exploration within 2002-2006 shows the anomalies which require intense concern by all and sundry.
The Evaluation of Brunei Bay Sediment Cores Sedimentation Rate Using 210Pb Radiometric Dating Technique
Authors: B Joseph , G Adiana , N.A.M Shazili , M.C Ong , H Juahir , H Shaari , M.W Yii , K.A. Kamarudin M , B. Gasim M , N.A. Maulud K , Sujaul Islam Mir
Published: April 2019

The use of radioisotopes 210Pb and 226Ra in establishing the geochronology of pollutants in the sediment core and sediment dating is being widely used in the world. The present study was conducted in Brunei Bay region of Malaysian waters to define the sedimentation rate and sediment age as well as to investigate the possible sources of pollutants into this bay. Sediment core samples were cut by layers, dried and analyzed using High Purity Germanium (HPGe) Spectrometer. Results obtained marked the time interval of 1875, 1956, 1962 and 1945 for sediment core B5, B9, B13 and LB consecutively. Sediment core of B9 and LB showed higher sedimentation rate compared to B5 and B13 due to the rapid development of urban and industrial. The increasing of sedimentation rate over the last 25 years was in line with the increasing of human activities surround the bay. Additionally, the health and distribution of mangroves surround Brunei Bay were important to determine the sediment movement which will affect the sedimentation rate in the bay. Overall, by controlling human activities as well as sustaining the mangroves population, could maintain and preserve the natural and unique environment of Brunei Bay.
Spatial Assessment and the Most Significant Parameters for Drinking Water Quality Using Chemometric Technique: A Case Study at Malaysia Water Treatment Plants
Authors: M. Zolkipli H , Juahir H , Adiana G , Zainuddin N , Ismail A , B. H. M. Maliki A , I. Hussain N , K. A. Kamarudin M , E. Toriman M , Mokhtar M
Published: April 2019

The objectives of this study are to determine the most significant spatial variation of drinking water pollutant and to identify the most significant parameters in each group of physico- chemical parameters (PCPs), Inorganic parameters (IOPs), heavy metals and organic parameters (HMOPs) and pesticides parameters (PPs). The Discriminant Analysis (DA) and One- Way Analysis of variance (ANOVA) showed spatial variation on four station categories and the variance of four group parameter in water drinking quality while principle component analysis (PCA) was carried out to identify the most significant of each water quality parameters base on given group. DA and ANOVA successfully reduced the physico and inorganic pollutants concentration with significant value 98.63% and 96.90%. PCA revealed six most significant drinking water quality parameters for PCPs, nine significant parameters for IOPs, fourteen parameters on HMOPs and four significant of PPs with the p value less than 0.05 (p < 0.05). Therefore, this study proves that chemometric method is the alternative way to explain the characteristic of the drinking water quality and could reduce several parameters and sampling points in the future sampling strategy.
An Assessment of Coastal Vulnerability of Pahang’s Coast Due to Sea Level Rise
Authors: Amri Mohd Fazly , Nizam Abdul Maulud Khairul , A. Karim Othman , Ara Begum Rawshan , Firoz Khan Md , Shafrina Wan Mohd Jaafar Wan , Mastura Syed Abdullah Sharifah , Ekhwan Toriman Mohd , Khairul Amri Kamarudin Mohd , Barzani Gasim Muhammad , Abd Wahab Noorjima
Published: April 2019

Climate change interacts in a different way with varieties of human activities and other drivers of change along coastlines. Sea level rise (SLR) is one of the major impacts of global warming. Changes in climate extremes and SLR may impact the critical infrastructures such as coastal road, jetty and chalets as well as the local community. The population and assets exposed to coastal risks will increase significantly due to population growth, economic development and urbanization in the future. As most of the cities in Malaysia are situated near the coast, immediate actions are needed to minimize the undesired outcome due to the SLR. The main objective of this study is to identify physical variables that may have impacts on the coastal area, thus develop a coastal vulnerability index (CVI) for the East Coast of Peninsular Malaysia. Seven (7) physical variables have been identified to assess the CVI that consists of geomorphology, coastal slope, shoreline change rate, mean significant wave height, mean tidal range, relative sea level rate and land use. A comprehensive CVI was obtained by integrating the differential weighted rank values of the variables. The outcome of this study is useful as a tool for coastal disaster management.
Variation of Beach Profile Along Pahang Coast in Malaysia
Authors: Amri Mohd Fazly , Nizam Abdul Maulud Khairul , Ara Begum Rawshan , A. Karim Othman , Firoz Khan Md , Norsakinah Selamat Siti , Aziz Ab Rahman Abdul , Aizat Saiful Bahri Mohd , Mastura Syed Abdullah Sharifah , Khairul Amri Kamarudin Mohd , Barzani Gasim Muhammad , Juahir Hafizan
Published: April 2019

Pahang is placed at the east coast of Peninsular Malaysia and has a lot of attractive coasts with interesting scenery, which can capture the attention of people to the coasts. The seven (7) of significant coasts namely Pantai Cherating, Holiday Villa beach, Pantai Balok, Sungai Ular, Pantai Sepat, Pantai Cheruk Palok and Pantai Tanjung Agas are classified has experienced about erosion coastal problem especially having significantly for social, environment and economic value recreational activities along of this shoreline. Coastal erosion is recognized as the permanent loss of land and habitats along of the coast. The variation of beach profile characteristics along the shoreline of Pahang will be identified and described using the beach profile survey and interpolation technique. From that, the information of erosion and accretion for topography surface of coastal was generated by calculating distance and elevation of coasts. Most of these study are consist the sandy coastal. Hence the ranges value of coastal width for Tanjung Agas is shows high value of erosion and accretion with -7.74 and 3.93 m/year. To sum up, the findings of study might be useful in significant decision making for protecting and mitigation measures towards sustainable coastal management along the Pahang coastal.
Review on lightweight hardware architectures for the crypt-analytics in FPGA
Authors: Tappari Sunitha , Sridevi K.
Published: April 2019

Internet of Things (IoT) plays a vital role in the Wireless sensor networks (WSNs), which is used for many applications, such as military, health, and environmental. Security is the major concern and it is very difficult to achieve because of a different kind of attack in the network. In recent years, many authors have introduced different Hardware Architectures to solve these security problems. This paper has discussed about a review of various Hardware Architectures for the lightweight Crypt-analytics methods and the comparative learning of various Crypt-analytics and authentication systems carried out. The comparative study result showed that the lightweight algorithms have good per-formance compared to the conventional Crypt-analytics algorithm in terms of memory requirement, operations, and power consumption.
A-ZHLS: adaptive ZHLS routing protocol for heterogeneous mobile adhoc networks
Authors: V. Narayana M , Atmakuri Aparnarajesh
Published: April 2019

The routing protocols in MANET are mainly classified into two type’s i.e. pro-active and reactive based protocol based on its problems in the network. One of the prime and foremost issues, which have gained a lot of scope, is its dynamic nature of the networks i.e. the stability of nodes is not guaranteed in the network. Hence, this leads to loss of data packets that needs for its retransmission. Many advancements and Novel protocols have been devised in recent years for efficiency and effectiveness in the ad hoc networks. However, hybrid routing proto-cols that inculcates the nature of reactive and proactive has gained a lot of importance. ZHLS is one of the Hybrid routing protocol, and is a two tier hierarchal routing that divides the area into zones in which mobile nodes move randomly. The process of promoting ZHLS protocol is purely based on homogeneous scenarios which mean the nodes in the network are statistically identical, but there is lack of studies for heterogeneous set-up where mobile nodes act in a different way in an identical network. In this paper, we try to propose a novel approach known as “Adaptive-ZHLS: AZHLS” that can be suitable for heterogeneous scenarios. Experimental set up and simulated results will show that AZHLS provides higher packet delivery fraction as compared with the traditional one.
Soft computing and bioinspired computing techniques for stock market prediction-a comprehensive survey
Authors: S. Kumar Chandar Dr
Published: April 2019

Stock Market Prediction (SMP) is one of the most important and hottest topics in business and finance. The main goal of SMP is to develop an efficient technique to predict stock values and achieves accurate results with minimum number of input data. This research paper reviews currently available SMP techniques based on soft computing and bio inspired computing algorithms. Many issues in-volved in the SMP are identified and different techniques are studied along with their merits and demerits to find the most suitable one. This paper also analyses the performance of various techniques with respect to some metrics including MSE, RMSE, MAD, MAPE, AAE and Hit ratio. The reviewed papers are classified in terms of number of input variables, prediction method and evaluation parame-ters used. A tabular representation of all the SMP techniques is presented to facilitate the future comparison. From the reviewed paper, it is noticed that the integration of soft computing with the bio inspired algorithms has the potential to predict the stock market index with high accuracy and achieves best result than soft computing method alone.
DVFS Algorithms of GPU and Memory for Mobile GPGPU Applications: A case study
Authors: Kim SeongKi , Kim Seok-Kyoo
Published: April 2019

Although both OpenCL and RenderScript have allowed the General-Purpose Graphics Processing Unit (GPGPU) to be used even for mobile GPUs, it is still difficult for mobile applications to use the GPGPU for several reasons. One of the reasons is that mobile devices place restrictions on GPU performance through power-saving technologies such as Dynamic Voltage and Frequency Scaling (DVFS). DVFS tries to control the balance between performance and energy consumption based on the application’s requirements. This technology has been successful in many cases and is widely used; however, it significantly decreases the performance of GPGPU applications. In this paper, we propose novel DVFS algorithms for GPU and memory when the GPGPU applications run. The suggested algorithms decreased the energy consumption by more than 0.7 times without any algorithm changes, and improved the energy efficiency (performance per watt) by more than 3.42 times in comparison with the conventional interval-based algorithm.
Solar radiation map of Jordan governorates
Authors: S. Alrwashdeh Saad , M. Alsaraireh Falah , A. Saraireh Mohammad
Published: April 2019

The solar energy potential in Jordan is enormous as it lies within the solar belt of the world with average solar radiation between 4 and 8 KWh/m2, which implies a potential of 1400-2300 GWh per year annually. Electricity demand in Jordan plays a significant role in the high amount of energy consumption to cover the needs of heating, cooling, lighting, etc. For that, the availability of the solar radiation infor-mation becomes essential to help in the design and building of the solar energy application. In this study, a solar radiation map is provided of all Jordan governorates.
Towards a context-aware Wireless Sensor Networks
Authors: Aarab Zineb , El Ghazi Asmae , Saidi Rajaa , Driss Rahmani Moulay
Published: April 2019

Recently, the development of wireless sensor networks (WSNs) is spreading rapidly. WSNs are highly distributed self-organized systems which comprise a large number of resource constrained sensor nodes. Developers of WSNs face many challenges from communication, memory, limited energy… Also, mobility has become a major concern for WSN researchers. Indeed, Mobile WSNs (MWSN) consist of mobile sensor nodes that can move on their own and also interact with the physical environment. Developing applications for MWSN is a complicated process because of the wide variety of WSN applications and low-level implementation details. Integrating context-awareness can improve MWSN applications results. In this paper, some research issues and challenges involved in the design of WSNs are presented. Model-Driven Engineering offers an effective solution to WSN application developers by hiding the details of lower layers and raising the level of abstraction. In this sense, we propose a context-aware WSN architecture and WSN metamodel to ease the work for developers in this field.
An analysis of the relationship between emotional intelligence and algebraic problem solving ability of secondary school students in Sokoto State, Nigeria
Authors: Julius Elizabeth , Halim Abdullah Abdul , Suhairom Nornazira
Published: April 2019

The purpose of this study is to determine the relationship between emotional intelligence and the algebraic problem solving ability of secondary school students. 100 respondents were used as the sample for the survey at two secondary school in Sokoto state, Nigeria. The targeted respondents are senior secondary two (SSII) students in Sokoto state, Nigeria. Findings of the study showed that there is a moderate relationship between emotional intelligence of the students and their algebraic problem solving ability. Furthermore, it was discovered that male students have a low relationship in their emotional intelligence and their algebraic problem solving ability compared to the female students whose emotional intelligence and algebraic problem solving ability was found to be moderate.
Vibration Analysis of Fused Deposition Modelling Printed Lattice Structure Bar for Application in Automated Device
Authors: S. Azmi M , Ismail R , Hasan R , R. Alkahari M
Published: April 2019

The purpose of this study is to investigate the effect of size of strut radius to the natural frequencies of acrylonitrile-butadiene-styrene (ABS) polymer lattice-structure bar material by using vibration technique. The lattice structured cellular material parts with body-centered-cubic (BCC) topological design are manufactured using fused deposition modeling (FDM) additive manufacturing (AM) technique with aim to reduce the overall weight of automated device. The specimens are tested by using set up consist of fabricated test rig, accelerometer, force sensor, power amplifier, shaker and signal generator/analyzer. The first mode natural frequency obtained from the vibration testing for specimen with 1.0 mm strut radius is 278 Hz while specimen with 1.2 mm strut radius is 441 Hz. The results obtained from vibration testing show that bigger size of strut radius will yield higher natural frequencies and the lattice structure bar is suitable for use as arm body part in automated device. By utilizing FDM AM, industry will be able to benefit in term of saving in fabrication cost as well as energy consumption.
Stress Analysis of Automobile Steering Knuckle Using Finite Element Method
Authors: H. Ad Suhadak F , A. Zakaria K , B. Ali M , A. Yusuff M
Published: April 2019

This paper aims in identifying effect of constraint point against critical area of 1300 cc national car steering knuckle using finite element method. The material of this steering knuckle is cast iron ASTM A536. The steering knuckle is modeled using a computer aided design software and the dimensions is assigned according to 3D scanning files. Meanwhile, steering knuckle is simulate using commercial finite element software where the load is assigned based on three conditions of constraints. The three conditions are fixed at hub, fixed hub and brake clamp and fixed at hub, brake clamp and steering arm of steering knuckle. Result shows that the positions of constraint points are significantly effect on stress value of steering knuckle. By acknowledging the presence or absent the effect of constraint on steering knuckle will aid in detecting critical area on this steering knuckle. Thus, approach could be conducted to optimize and enhance the life cycle of a steering knuckle. The data will be further utilized in testing the steering knuckle under variable amplitude strain signal.
A Fault Diagnosis Expert System for Commercial Bus Manufacturing process
Authors: Nian Chee , . Tan , Fai Chee , . Tan
Published: April 2019

Bus manufacturing is one of the important assets in automotive industries as well as mode of public transportation. The design process is difficult and long throughout time. Moreover, there are many manuals, rules and regulation according to different standard which make the standardization and design process to be difficult and time consuming. Hence, this project describes the use of an expert system shell for commercial bus design. In bus manufacturing field, design of commercial bus is heavily depending on human experts. With the help of expert system, process of design commercial bus will be shortened up to 56.5% compared to conventional way. The developed system can be used as a training module for inexperienced personnel. In this research work, the fault diagnosis system was developed by using Kappa-PC expert system shell. It is supported by object orientated technology for the MS window environment. Lastly, the developed system will be validated with a case study to verify the capability of the developed system.
Durability Analysis for Coil Spring Suspension Based on Strain Signal Characterisation
Authors: Chuin Hao Chin , Abdullah Shahrum , Kamal Ariffin Ahmad , Singh Karam Singh Salvinder
Published: April 2019

This paper aims to predict the durability of an automobile coil spring by characterising the captured strain data. The load histories collected at coil spring are often presented in time domain but time domain cannot provide sufficient information for fatigue life prediction. The objective of this study was to characterise the strain signal in time domain, frequency domain and time-frequency domain for fatigue life prediction. The signal obtained in time domain was used to predict the fatigue life of the coil spring through Rainflow cycle counting technique and models of strain-life relationships. In frequency domain, fast Fourier transform revealed that the frequency components in the strain signal ranged between 0-5 Hz. The frequencies can be further categorised into two ranges: 0-0.3 Hz and 1-2 Hz. Power spectral density confirmed that the frequencies with high energy content were 0-5 Hz and the total energy content in the signal is 4.0872x103 µɛ2. Short time Fourier transform can identify the local time and frequency properties of the signal but it has a limitation in time-frequency resolutions. Wavelet transform can provide a better time-frequency resolutions and it confirmed that the transients in the time domain had frequency range of 1-2 Hz. In summary, this study revealed different possible approaches of signal processing in fatigue life assessment of automotive components as guidance for the selection of suitable approach based on the type of information needed for the analysis.
Study on the Modification Effect of Side Pot And Diffuser to the Aerodynamics of the F1 IN SCHOOLS Car
Authors: Faiz Paturrahman Mohamad , Radzi Abu Mansor Mohd , Harun Zambri , Anas Mohd Sabri Mohd
Published: April 2019

The F1 IN SCHOOLS competition was established in 2004 to develop students’ interest towards science, technology, engineering and mathematics (STEM) in the secondary school phase. The application of aerodynamics is one of the important aspects studied during this phase. There are two factors that must be considered in the analysis affecting the aerodynamic performance of the car, namely the maximum velocity of the drag coefficient and the downforce coefficient. The F1 IN SCHOOLS car velocity is mainly related to its aerodynamic design and features. The objective of this paper is to study the effect of different side pot and diffuser designs that are capable of producing a low drag coefficient while maintaining a sufficient downforce coefficient. The simulation study was conducted using CFD STAR CCM+ software. The results will help to produce a miniature car that will meet two important criteria of low drag coefficient and sufficient downforce coefficient.
Modeling, Simulation and Analysis of Induction Motor for Electric Vehicle Application
Authors: Yusof Yushaizad , Mat Kamarulzaman
Published: April 2019

High power induction motor (IM) is widely used in industries and recently has been put into electric vehicle as the replacement of the internal combustion engine. In order to study the characteristics of the IM, a model of three-phase squirrel cage induction motor is designed and developed using MATLAB Simulink tool. Synchronous reference frame (SRF) technique is implemented to simplify the equivalent circuit model. Based on state space form, a flux linkage equation is developed using three stages transformation matrices. It demonstrated a good performance with fast response for AC start-up test, where simulated induced torque, rotor speed, mechanical output power, efficiency, slip and stator current waveforms were generated accordingly.  Indeed, the developed IM model can be used as a starting platform to further study and analyses the IM drives performance for electric vehicle application.
Effects of Aggregate Abrasrion Values to Marshall Properties of Asphalt Concrete AC- WC
Authors: Tarigan Gunawan , Husni Malik Hasibuan Muhammad , Lubis Marwan , Tanjung Darlina , Sarifah Jupriah , Hasibuan Abdurrozzaq , Dwi Putri Lusi
Published: April 2019

Asphalt Concrete AC-WC is one of the most common pavement types used in Indonesia, consisting of a mixture of hard asphalt, filler and a continuous graded aggregate, which is mixed, pave and compacted at a certain temperature. The mixture of ashpalt concrete requires a mixing process that uses materials as the specifications. Aggregate abrasion becomes an important part that will be examined based on aggregate hardness each of quarry. Source of material are from Selayang, Sibiru-biru and Armed. Reference for properties value that use in this study is specification  from Public Works Department in 2005. From the Experimental, abrasion of material from Selayang 13.51%, Sibiru-biru 17.08% and Armed 35.64%. Optimum Asphalt content was 5.2%, 5.7% and 6.2%. From the research, the results of abrasion testing in this study, the coarse aggregate derived from the three quarry can be used as an aggregate mixture on (AC-WC), with abrasion value < 40%, and mixed properties (stability, flow, VMA , VIM, VFA, MQ) meet the standard specifications of the Department of Public Works April 2005. Increase value of abrasion will decrease performance of asphalt concrete. One of indicator is stability value, in this study the maximum stability value is 1005.31 kg at abrasion value of 13.51%. Increase value of abrasion also decrease the durability, maximum residual stability is 915.73 kg and durability is 91.09%.
Successful Aging among Older Adults Using Computers: a Systematic Review
Authors: Ali Saare Murtaja , Hussain Azham , . .
Published: April 2019

Recently, most of the previous studies focused on technology use and adoption among adults.  However, few studies have been conducted on older adults. More specifically the emphasis is on the problems in different areas i.e. health care, housing, education, employment, and product design.  Therefore, in this study, a systematic literature is taken into account where it includes multiple databases with a cut-off starting point of 2007 to 2017 that empirically examined predictors of successful aging of older adults to investigate current empirical studies. This study found that the use technology such as automatic teller machines (ATM) or VCRs are the predictor of use of computers. Moreover, older adults are likely to adopt to new technology when they recognize potential benefits. It is expected that the consolidated literature will serves as a guideline for future studies.
The Relationship between Procurement Officers, Project Management Success and Procurement Procedure in Ict Public Outsourcing: a Systematic Literature Review
Authors: Ahmad Azran , Habibah Arshad Noor , Ruzaini Syed Aris Syaripah
Published: April 2019

Obviously the use of Information Communication Technology (ICT) by organizations is increasing over the years, whether in government or the private sector. The use of ICT can be seen to increase efficiency and effectiveness of the services or products offered. To meet the demand of stakeholders today, ICT projects need to be developed through outsourcing. However the method of outsourcing has some issues that can affect the success of the development of ICT projects as has been much debated by previous studies. Yet, the discussion on project management success (PMS) factors that concentrate on the competency measurement for the department's officers who are managing the procurement process has not been sufficiently clarified. The aim of this Systematic Literature Review (SLR) is to identify the common attributes that influence project management success through the procurement procedure carried out by the procurement officer (PO). The outcome of the review explained the important relationship pattern between the identified attributes which will be applied in the future empirical and exploratory survey that will be carried out. Addition to this, the competency measurement model of ICT procurement officer to be developed.
Calibrating Studentsâ€™ Performance in Mathematics: A Rasch Model Analysis
Authors: Shamsuddin Hasni , Abdul Razak Nordin , Zamri Khairani Ahmad
Published: April 2019

Rasch model analysis is an important tools in analysing studentsâ€™ performance at item level. As such, the purpose of this study is to calibrate 14 years old studentsâ€™ performance in mathematics test based on the item difficulty parameter. 307 Form 2 students provide responses for this study. A 40-item multiple choice test was developed to gauge the responses. Results show that two of the items need to be dropped since they did not meet the Rasch modelâ€™s expectations. Analysis on the remaining items showed that the students were most competent in item related to Directed Numbers (mean = -1.445 logits), while they are least competent in the topic of Circle (mean = 1.065 logits). We also provide calibration of the performance at item level. In addition, we discuss how to the findings might be helpful for teachers in addressing studentsâ€™ difficulty in the topics.Â Â
Using Theory of Interpersonal Behaviour to Predict Usage Behaviour of Government to Citizen ICT Services among people Affected by the war
Authors: H. Abdulrahman Saifuldeen , Sakira Binti Kamaruddin Siti , Bt Othman Nafishah
Published: April 2019

As ICT developments profoundly promoted fields such as government to citizen services and disaster management, there is an absent of framework and study to clarify the factors that influence the usage behaviour of the services among people affected by a non-natural disaster. A conceptual framework is developed in this research to measure such factors underpinned on the Theory of Interpersonal behaviour. This paper presents the first phase of this research. Literature review is conducted, investigated issue is recognized. Hypotheses and conceptual framework, as well as the research methodology are also described in this paper. Lastly, contribution, limitation and conclusion are also included.
To Investigate the Effect of Heat Treatment on Low Carbon Steel Corrosion Behavior
Authors: Wahab Abdalrhem Azhar , Jaber Naeemah Ali , Noori jawad Makki
Published: April 2019

This work was to investigating the corrosion behavior of low carbon steel in a salt solution of 3.5wt% NaCl after undergoing two different types of heat treatment at 960 ÂºC in a furnace. The material of low carbon steel was cut into nine small pieces under three groups A, B and C, without heated annealing and hardening heat treatment respectively. The heat treatment was at temperature 960ÂºC. The hardness of the sample as received will be 203 kg/mm2 while after hardening the hardness was increased. The sample was mounted using hot and cold mounting. The microstructure and surface morphology was observed by using Scanning Electron Microscope (SEM) and Optical Microscope (OM) after grinding, polishing and etching on the sample. In group A cementite can be observed clearly on pearlite on the surface before corrosion test. After four days soaking in 3.5 wt% NaCl solution was observed all cementite and pearlite will be transformed to austenite with the remnants of cementite make the surface unstable hence increases the initial corrosion. After four days soaking when the cementite is oxidized and a thick film of corrosion product covers the material surface. The formation of Martensite due to quenching and rapid cooling in group C sample increases the corrosion rate from 0.072 mpy to 0.302 due to decreased of corrosion potential from -572 mV to -639 mV after four days soaking. The corrosion rate of each sample was measured by using electrochemical polarization measurement and Tafel extrapolation technique. From previous result, it was observed that samples which had undergone annealing mode of heat treatment turned out to be the ones with the best corrosion resistance.Â Â
The Impact of Digital Learning on Private School from Perspective of Technology Acceptance Model
Authors: Hussein Azeez Hayder , . . , . .
Published: April 2019

Despite the difficulties, risk and failures, higher education institutions are continuously replacing/implementing digital Systems to meet the demands of sector competition and expectation forming the stakeholders. Many literatures claim that the digital implementation is risky and challenging. Especially when HEIs are novice, it becomes important to mitigate the risk involved in digital implementation for a successful implementation. This paper proposes a new risk based framework for digital implementation in higher education.Â Â
The Influence of Rewards on Perceptions, Competence, and Sensory and Imaginative Immersion of Malaysian Digital Traditional Games
Authors: Fazilah Hibadullah Cik , ChePa Noraziah , Azzah Abu Bakar Nur , Hussain Azham
Published: April 2019

Rewards in games are among the essential features to attract players to engage with the game. Prominent scholars claimed that rewards have positive influences to game engagement.Â  Despite the importance of rewards in digital games, none of the existing Malaysian digital traditional games incorporated rewards in the games. Â Therefore, this study is conducted to investigate the influence of rewards on digital games engagement which focusing on perceptions, competence, and sensory and imaginative immersion on one of the Malaysian digital traditional games, Congkak.Â  The existing Congkak has been enhanced by incorporating rewards.Â  Fifty respondents among the millennials were involved in the experiment to measure the influence of rewards using Game Experience Questionnaire (GEQ).Â  Findings revealed that all constructs tested demonstrate positive influence of rewards on game engagement.Â  The findings serve as a guideline to game developers to improve the games in order to foster better engagement of Malaysian digital traditional games.Â
Learning Style Preferences Among Degree Students in Academic English Course in UTHM
Authors: Mohd Junaid Thuwaibah , Nur Afiqah Ismail Nadia
Published: April 2019

This study was conducted to identify the major learning style preference among UTHM degree students semester 2 2015/2016 in Academic English classroom as well as to identify the differences between the learning style preferences of male and female students. A total of 150students from eight different faculties comprised of 75 male and 75 female students were involved in this study. The Perceptual Learning Style Preferences Questionnaire (PLSPQ) which was developed by Reid (1987) has been used as the instrument of the study. The findings revealed that the major learning style preference of the students was Kinesthetic learning style. Moreover, the findings also revealed that there were no significance differences at α = 0.05 between the learning styles preference of male and female UTHM degree students’ semester 2 2015/2016 in Academic English classroom.
The Relationship between Stock Returns and Trading Hours: Evidence from Amman Stock Exchange
Authors: Kharabsheh Buthiena , Hani Megdadi Mahera , Abu-ulbeh Waheeb
Published: April 2019

This study investigates the relationship between stock returns and trading hours for 22 shares listed on Amman Stock Exchange (ASE). We analyze the hourly trading data for the period Dec.2005 to Dec.2006. The two trading hours in ASE were split into four periods; first half of the first hour (10:00-10:30), second half of the first hour (10:30-11:00), first half of the second hour (11:00-11:30), and second half of the second hour (11:30-12:00). Using the Generalized Autoregressive Conditional Heteroscedasticity (GARCH) model, our results reveal that the hourly trading time significantly affects stock returns.
Effectiveness of Technical Analysis Signals Around the Earning Announcements in Malaysian Stock Market
Authors: Lee Yong Ming Kelvin , Jais Mohamad
Published: April 2019

Technical analysis is an analysis that widely applied by the investor in the stock market. However, various corporate announcements could cause the market to react, and the most significant corporate announcement is the earnings announcement (1). Thus, this study examines the effectiveness of technical analysis signals around the earning announcements dates in Malaysian stock market. In doing so, this study applied and tested four technical indicators, namely Simple Moving Average (SMA), Relative Strength Index (RSI), Stochastic (K line), and Moving Average Convergence/Divergence (MACD) in Malaysian stock market. The sample of this study consisted of 30 largest capitalization companies from the main market of Kuala Lumpur Stock Exchange (KLSE). Meanwhile, the sample period covered from 2nd January 2014 to 31st March 2016. This study found that Moving Average Convergence/Divergence (MACD) significantly produced higher returns as compared to the other technical indicator before the earning announcement dates in financial year 2014 and 2015. The combined indicator of MA-MACD also found to have higher return in financial year 2015. The findings conclude that the technical analysis signals can be used to generate returns before earning announcement dates.
The Use of Analytical Hierarchy Process in Identifying Weight age Criteria for Academic Staff Selection
Authors: Norsyafawati W. Muhamad Radzi Wan , Nordin Norshahrizan , Ramli Razamin , Abashah Aidanazima , Nurshahrizleen Ramlan Sayang
Published: April 2019

The academic staff selection for any organization is an important process that involves in decision making process. The process must be carried out carefully because it involves some important aspects towards the staff selection. During the interview session, the selection process based on five criteria of the applicant. The five selection criteria consists of academic qualification, religious knowledge, community services, knowledge, and communication skills. Furthermore, the selection of applicants for the academic ability and suitability with the field in order to make the selection process is becoming more complex. The selection of the applicants for academic staff also relies on judgments of the committee that was appointed for interviewing the applicants with a lot of experience in the selection of academic staff applicant. The study finds that the objectives are to identify all criteria relevant to the selection of staffs. The technique used in giving weights to each criterion is Analytical Hierarchy Process (AHP) technique. As a result, the highest weight was assigned to the first criteria which are academic qualification with the weight 0.3423. It shows that the academic qualification was the most important criterion compared to the other criteria. In addition, the selection of applicant for academic staff is able to assist in the selection of potential qualified academic staff.
Predominant Washback of the General Secondary English Examination on Teachers
Authors: Ameen Tayeb Yahya , Sallehhudin Abd Aziz Mohd , Ismail Kemboja
Published: April 2019

General Secondary English Examination (GSEE) is the highest secondary school exit test run by the Ministry of Education, Yemen. Due to the significance of the exam being the foundation of the students’ future, teachers are only preoccupied with how to help students get high marks in this final examination to be eligible to join university. The aim of this study is to investigate the dominant wash back effect of the GSEE on Yemeni teachers who are highly engrossed by the test. The study focuses on four pedagogical dimensions namely teachers’ teaching methods, content assessment, attitudes and motivation. Mixed mode approach (qualitative and quantitative methods) was applied using classroom observations, semi-structured interviews, group discussions and a questionnaire of 72 items administered to 46 English teachers. NVivo10 was used to analyse the qualitative data. SPSS/V22 was used for analysing the quantitative data in which the Cronbach's Alpha reached (.88). The results revealed that the test had a great influence on teachers (P<.001) mainly on their teaching methods. Triangulation with the qualitative analysis confirmed equivalent implications. The study contributes a clear evidence of the powerful exam washback on the factors of the language learning practices and its influence on how and what teachers teach.