bluuebunny/crossref_metadata_2025 huggingface dataset:
Assessing the status of social capital and its relationship with organizational voice and silence in kermanshah university of medical science
Authors: Heydari Soreshjani Nasrin , Safari Yahya , Rezaei Bijan
Published: May 2018

The present study aimed to assessing the status of social capital and its relationship with organizational Voice and Silence in Kermanshah University of Medical Science in 2017-18. This research was an applied one in terms of the purpose and used a descriptive correlational design for data collection. The population included all employees working at Kermanshah University of Medical Sciences (n = 350) and a sample of 186 subjects were selected using random stratified sampling method. Data were collected using three standard question-naires including Social Capital by Nahapiet and Ghoshal (1997), Organizational Voice by Hames, (2012) and Organizational Silence by Vakola (2005). Cronbach's alpha coefficient was calculated for measuring the reliability of the questionnaire: social capital questionnaire (0.96), organizational silence and organizational voice questionnaire(0.85), (0.95). In addition, the content validity of the questionnaire was confirmed by professors and experts. Data were analyzed using Pearson correlation coefficient via SPSS v. 21 software. According to the results, there is a negative and significant correlation between social capital and organizational silence (P = 0.01, r = -0605) and a positive and significant correlation between social capital and organizational voice (P = 0/001, r = 0.675) among the employees working at Kerman-shah University of Medical Sciences.
Numerical modeling of the seismic performance of monopile supported wind turbines in sandy soils susceptible to liquefaction.
Authors: Tirandazian Mehran , Nouri Gholamreza
Published: May 2018

Since 1980, as wind farms have moved from coastal to offshore areas, the wind energy industry has been completely transformed which in turn has led to the increase in the construction of wind turbines. On the other hand, harsher offshore environmental conditions have led to larger lateral loads and anchorages applied to the wind turbines and specifically to their piles than other coastal and offshore structures. Thus, more solid piles are required to ensure proper rigidity and bearing capacity. Liquefaction is one of the most important seismic hazards through which various damages caused to different parts of wind turbines. In order to develop coastal and offshore structures in Iran, a study of liquefaction is of great importance due in part to the high risk of seismicity. In this study, the effect of liquefaction on seismic response of offshore wind turbines is examined taking advantage of a finite element model. To this end, all analyzes have been carried out in both occurrence and non-occurrence of the liquefaction, so that by comparing these two modes, the mechanisms affecting the seismic behavior of wind turbines are understood. As depth increases, the possibility of liquefaction is reduced due to higher pressure. Liquefaction is considered to a depth of 20 m and structural behavior is evaluated based on the level of seismic hazard, the thickness of the susceptible layers, soil compaction, the non-fluidizing top layer, the gradient of the earth, the thickness of the monopole, the dimensions of the wind turbine and different soil layering conditions. According to the mentioned factors, a comprehensive and parametric study of the behavior of wind turbines in seismic zones, and in different loading conditions, pile diameters and soil layering is carried out in soils prone to liquefaction. Since analyzes are performed in both occurrence and non-occurrence of the liquefaction, the number of analyzes and computational cost in this research becomes enormous. Therefore, there is a need for a highly effective software and a practical modeling method that will allow for this comprehensive study. Open Sees software and beam on nonlinear Winkler foundation approach are used to model the soil-pile-structure interaction. The minor differences observed in the laboratory values compared to the numerically calculated ones may refer to the fact that the chamber is not modeled. In the bottom layer, as the depth decreases, the elastic response spectra record larger values which are due to the resonance in the structure.
The civil liability of the consortium members for the individual mistake of one member
Authors: M. Elsawi Ahmed
Published: May 2018

Nowadays, the various forms of contractual agreements have spread between the different contracting companies for the purpose of executing the huge international contracts which require the synergy of all efforts. This has led to the appearance of new forms of cooperation between the international contractors, called the "Consortium Agreement", which is a kind of special partnership entered into for the purpose of executing a certain project, and ends at the completion of this project, without the constitution of a separate entity for the parties of this consortium. Nonetheless, many and various legal implications result from this consortium, some of which may be attributed to the subordination relationship between this agreement and the international contract of construction; while other legal implications might be attributed to the Consortium Agreement itself. The main problem in this regard may arise, if the consortium members did not agree on the accurate determination of the civil liability for each party, whether it was during the pre-contractual stage, or during the contract's execution; as well as the specific determination of the consortium members' liability towards the employer for the individual mistake of one member, especially in light of the multiple parties and the unity of purpose. In this regard, the liability may take one of the following two forms: first, to consider all members of the consortium as joint partners before the employer; second, to adopt the personal liability of each member separately, thus, each member shall be liable only for the part assigned to him. Hence, we will try here to answer a major question regarding the liability of the consortium members for the individual error of one member towards each other or towards the employer, taking into consideration the special nature of the Consortium Agreement.
Experimental and numerical investigation of the effect of adding silica nanoparticles on the behavior of composite polyester resin
Authors: Laleh F.Farhang , Marzroud A. Pourtaghi , Choupani Naghd Ali
Published: May 2018

This study examines the behavior of the composite composition of polyester resin containing silica nanoparticles and compares some of its mechanical properties, including the maximum permissible toughness and fracture toughness with the corresponding values of pure resin polyester. In other words, the present paper examines the effect of adding silica nanoparticles to polyester resins and forming a resistant nanocomposite. Silica nanoparticles are one of the important additives for polymer resins, and they promote some of their mechanical prop-erties. The experiments were carried out by the arcan device and on the butterfly arcan specimen. These specimens were loaded at seven different angles and the magnitude of maximum deflection was obtained. These angles produced pure tensile fashion, pure shear fashion, and five different modes of composite fashion, and the values of stress intensity coefficients and strain energy relaxation rates were obtained for each of the states.
Modeling of electrical characteristics of photo voltaic and effecting of cell parameters on V-I curve
Authors: S. Abdullah Fawaz , A. Hamoodi Safwan , N. Hamoodi Ali
Published: May 2018

Studding of PV systems in an active way needs accurate information of the power and voltage P-V current and voltage I-V characteristic curves of solar PV order. Therefore, this paper shows emulation of solar PV model utilizes Matlab/Simulink and practical results. This PV model depends on math’s equation and is explained during an equivalent circuit involving a photo current source, diode, shunt resistor and series resistor representing leakage current and series resistor expressing the inside losses because of the current flow. The advanced model let the prognosis of PV array manner under various circuit model and ecological parameters solar temperature, ray. A special model (Lcs M200 – JA/SI) solar collector using for this paper, results was compared with practical curve with different points of the curve and show good conformity to the model.
Enhancing e-banking security: using whirlpool hash function for card number encryption
Authors: Yaseen Khudhur Doaa , Saad Hameed Saif , M. Al-Barzinji Shokhan
Published: May 2018

The Internet played - and still - the key that continuously changing our ways of interaction with people. As a result, several electronic services had emerged allowing businesses to grow by effectively allowing wide and easy interaction with customers and other businesses. The security and privacy of information over the internet in general and in electronic services providers have been the focus of widely published studies and researches, such that several software and hardware based solutions or hybrid of both is required. E-banking services grown significantly in the last decade where all financial matters of customers and businesses can be done online, and therefore, e-banking security and privacy is important. In this paper, I propose the use of Whirlpool hash function to enhance the security of e-bank service providers by encrypting customer’s card sensitive information. In addition, based on the review of several articles, I found that Whirlpool outperformed several hashing functions and resists several well-known attacks.
Highway tunnel air quality assessment using multivariate statistical classification on factor, cluster, and discriminant analysis
Authors: Lung Kuo Shu , Ming-Yang Wu Edward
Published: May 2018

The air quality monitoring points set up at the existing 10 tunnels (a total of 20 tunnel entrances) on Formosa Freeway in Northern Taiwan were used in this study to investigate the correlation among various types of air pollutants measured at these 20 tunnel entrances via a multivariate statistical analysis. This study aimed to determine the main factors that affect the extent of air pollution along the Formosa Freeway and its vicinity, and explored the interrelationships among various air pollutants to reflect the differences among the air pollutants found along the Formosa Freeway in Northern Taiwan, as well as to establish an evaluation mode for types and characteristics of air pollutants after their quantification. Two main factors were obtained from the factor analysis: the “photochemical reaction pollution factor” and the “vehicle fuel factor.” Cluster analysis is used to classify air quality in Formosa Freeway in Northern Taiwan into five clusters to present different characteristics and pollution degrees of air quality in this study. The more that the air pollutants and samples are used when performing a factor analysis, the more effective the validity and reliability of the factor analysis! This research results can serve as a reference for those involved in the review of air quality management effectiveness and/or the enactment of management control strategies. In addition, it is also a good method to use in an air quality management program and it is expected that the results can serve as a reference for the management to prevent and control air pollution in the future.
Definition of area and center of technological safety in space of conditions of the production system
Authors: R. Bakasov S , E. Prorokov A , N. Matveev Yu. , N. Bogatikov V , V. Palux B
Published: May 2018

Abstract. Realization of system of diagnostics of states and management of technological safety in space of states is considered. The technique of definition of the center of safety on the basis of the solution of a problem of linear programming and the two-level system of decision-making on ensuring technological safety is offered. At the first level the center of safety is defined, at the second level the problem of stabilization of process in the field of safe functioning is solved.
Scientific substantiation and the release of saponins from plant raw material for food and cosmetic cream technology
Authors: N. Butova Svetlana , A. Salnikova Vera , A. Ivanova Lyudmila , D. Schegoleva Irina , A. Churmasova Lyudmila
Published: May 2018

The article presents the results of author scientific research dealing with the use of saponins, biologically active substances in food and cosmetics technology. The problems of their formation in plants, the chemical nature and the features are considered, biological and physico-chemical properties of saponins are studied. By their nature, saponins are divided into steroid and triterpene, differing by glycoside part of a molecule, thus, with different biological and chemical properties, but they are all capable to develop foam in aqueous solutions, and this feature is the origin of their name. The name originated from the word «Sapo», which means soap. It should be noted that at present saponins are not studied fully as other biologically active substances (BAS), although they are of interest and relevance. In the course of scientific work, about 20 species of saponin-containing plant material, both steroid and triterpene ones, were selected and analyzed for the determination of saponins. The selection of raw materials with the highest content was performed for their further use in cosmetics and as the surfactants in the production of emulsion food products. The following research methods were used in the work: qualitative reactions to the presence of saponins, foaming, saponin extraction, the release from dry aqueous extract of both steroid and triterpin ones. The method and the scheme of their release and precipitation are presented in the article.The work was carried out within the framework of the state assignment of FSBEI HE «Moscow State University of Food Production» No. 14.7404.2017/бч «Scientific and applied bases of application of traditional and nonconventional vegetable raw materials and secondary products of its processing (fruit and berry, grain, bean, oil, essential oil, herbs) in technology of specialized products of the food industry, cosmetology and pharmacy»
An Improved Indoor Location Technique using Kalman Filter
Authors: Fariz Nik , Jamil Norziana , Md Din Marina , Ezanee Rusli Mohd , Sharudin Zahrah , Afendee Mohamed Mohamad
Published: May 2018

Indoor positioning technique is used to trace location of entities within a non-space environment riding from the incapability of GPS to do so. Most of indoor localization techniques proposed by researchers aimed at discovering an optimized solution for indoor location tracking with high precision and accuracy. This paper proposes an improved indoor location technique by implementing Trilateration and Kalman Filter technique that can manipulate noise signal deduced from raw Received Signal Strength Indicator (RSSI). Upon implementing the technique, observation and comparison are made to measure the effectiveness and reliability of the enhanced Kalman Filter in tracking indoor positioning. Our analysis and finding shows that the enhanced indoor positioning technique improves the accuracy significantly.
Entity-based Parameterization for Distinguishing Distributed Denial of Service from Flash Events
Authors: A Mohamed M , Jamil N , F Abidin A , M Din M , N S W Nik W , R Mamat A
Published: May 2018

In a perfect condition, there are only normal network traffic and sometimes flash event traffics due to some eye-catching or heart-breaking events. Nevertheless, both events carry legitimate requests and contents to the server. Flash event traffic can be massive and damaging to the availability of the server. However,  it can easily be remedied by hardware solutions such as adding extra processing power and memory devices and software solution such as load balancing. In contrast, a collection of illegal traffic requests produced during distributed denial of service (DDoS) attack tries to cause damage to the server and thus is considered as dangerous where prevention, detection and reaction are imminent in case of occurrence. In this paper, the detection of attacks by distinguishing it from legal traffic is of our main concern. Initially, we categorize the parameters involved in the attacks in relation to their entities. Further, we examine different concepts and techniques from information theory and image processing domain that takes the aforementioned parameters as input and in turn decides whether an attack has occurred. In addition to that, we also pointed out the advantages for each technique, as well as any possible weakness for possible future works.
Enthalpy method for one dimensional heat conduction
Authors: Suraya Md Nasrudin Farah , Mahadi Shafaruniza
Published: May 2018

In this paper, the Enthalpy Method is employed to compute an approximate solution of the system of nonlinear differential equations focusing on the simulation of moving boundary for one dimensional heat conduction. This paper is only considered in the problem of a technical grade paraffin’s melting process. In order to seek the solution in term of temperature distribution, Finite Difference Method will be used. The results obtained are compared between solving with enthalpy and without enthalpy. The enthalpy method is more versatile, convenient, adaptable and easily programmable.
Single Term Concepts from English Translated Qur’an Using Statistical Methods
Authors: Ismail Rohana , Abd. Rahman Nurazzah , Abu Bakar Zainab
Published: May 2018

Ontology is essential for the success of knowledge based systems because it has the opportunity to share vocabulary, integrate knowledge easily and discover new instances or relations.  However, the development of ontology via manual is time consuming and tedious task. Thus, ontology learning comes to play it roles. The ontology learning tries to extract ontological elements to support the ontology development. Concept extraction is one of the important tasks in ontology learning. The Hajj domain of Quranic study, concepts have not fully discovered. Hence, this paper tries to discover concepts by extracting the single terms from Qur’an translated version. It provides result on extracting the single terms as concepts by using statistical methods. Apart from that, it has been experimented for English Translated Quran by Hilali Khan. Result shows that the performance of using tf method as a statistical method is significant with the f-measure value is 0.509. Based on the tf, the comparisons have been made for other statistical methods such as tfidf, Avetf and Ridf.
Joint Controller Method: Application in 3D Humanoid Style Deformation
Authors: Ismail Ismahafezi , A. Abuhashish Faris , Nor Wan Shamsuddin Syadiah Nor , Mat Amin Maizan , Kufaisal Mohd Sidik Mohd
Published: May 2018

Realistic 3D humanoid style deformation is an attractive topic especially for the industries developing computer animations and games. Calculating the correct position style is a challenging task due to 3D humanoid complex dimensional data. Axis of interest and angle of rotation are two parameters measured in this real-time application. The main contribution of this article is through the development of joint controller method for controlling body position, orientation and joint rotation to produce style deformation. This method allows the deformation of new 3D humanoid styles by users using a simple interface control. This style joint controller method can help researchers to setup their motion editor and synthesis system.
A modifications of conjugate gradient method for unconstrained optimization problems
Authors: Alshorman Omar , Mamat Mustafa , Alhawarat Ahmad , Revaie Mohd
Published: May 2018

The Conjugate Gradient (CG) methods play an important role in solving large-scale unconstrained optimization problems. Several studies have been recently devoted to improving and modifying these methods in relation to efficiency and robustness. In this paper, a new parameter of CG method has been proposed. The new parameter possesses global convergence properties under the Strong Wolfe-Powell (SWP) line search. The numerical results show that the proposed formula is more efficient and robust compared with Polak-Rribiere Ployak (PRP), Fletcher-Reeves (FR) and Wei, Yao, and Liu (WYL) parameters.
The application of new conjugate gradient methods in estimating data
Authors: Shoid Syazni , Shapiee Norrlaili , Zull Norhaslinda , Hamizah Abdul Ghani Nur , Syarafina Mohamed Nur , Rivaie Mohd , Mamat Mustafa
Published: May 2018

Many researchers are intended to improve the conjugate gradient (CG) methods as well as their applications in real life. Besides, CG become more interesting and useful in many disciplines and has important role for solving large-scale optimization problems. In this paper, three types of new CG coefficients are presented with application in estimating data. Numerical experiments show that the proposed methods have succeeded in solving problems under strong Wolfe Powell line search conditions.
Cloud Based Gamification Model Canvas for School Information Management
Authors: Nordin A Rahman M , Jaafar Jazurainifariza , Fadzil A Kadir M , Nor Shamsuddin Syadiah , Iryani A Saany Syarilla
Published: May 2018

Information management especially related to teaching and learning materials is an important application in school in order to bring education system more effective and systematic. Modern education requires fundamental changes in current education system platform for ensuring teaching method becomes more efficient. The challenges of current school information management are non-integrated system, difficulty in configuration and deployment as well as complexity of storage provision. These issues reduce the motivation among teachers to participate in sharing teaching and learning materials in school information management system. This article proposes a gamification model canvas framework for school information management under cloud computing environment. The aim is to provide a method for encouraging the teachers to share their teaching materials. Motivation element provided in model canvas method such as dynamics, behavior, component and aesthetic are used in the proposed framework. With the proposed framework, a cloud based prototype will be developed and can be used by schools.
Graph-based Representation for Sentence Similarity Measure : A Comparative Analysis
Authors: Sakira Kamaruddin Siti , Yusof Yuhanis , Azzah Abu Bakar Nur , Ahmed Tayie Mohamed , Abdulsattar A.Jabbar Alkubaisi Ghaith
Published: May 2018

Textual data are a rich source of knowledge; hence, sentence comparison has become one of the important tasks in text mining related works. Most previous work in text comparison are performed at document level, research suggest that comparing sentence level text is a non-trivial problem.  One of the reason is two sentences can convey the same meaning with totally dissimilar words.  This paper presents the results of a comparative analysis on three representation schemes i.e. term frequency inverse document frequency, Latent Semantic Analysis and Graph based representation using three similarity measures i.e. Cosine, Dice coefficient and Jaccard similarity to compare the similarity of sentences.  Results reveal that the graph based representation and the Jaccard similarity measure outperforms the others in terms of precision, recall and F-measures.
Rational Speculative Bubble Size in Hang Seng, S&P500 and Nikkei 225 Index Trend from Year 1976 until 2016
Authors: Borhan Nurharyanti , Abdul Halim Nurfadhlina , Muhammad Amir W. Ahmad Wan , Mamat Mustafa , Azlida Aleng Nor , Mokhtar Kasypi , Asrul Affendi Abdullah Mohd , Abdullah Zailani
Published: May 2018

Rational speculative bubble size happens when the prices of an asset surpass its intrinsic value. This bubbles are harmful when burst because its gives a big impact towards the economic. The aims of this study is to show the size of rational speculative bubble existed from year 1976 until 2016. The period are separated into four which are the first cycle is from 1/11976 to 6/12/1987, the second cycle happen in 7/12/1987 to 12/8/1998, 13/8/1998 to 26/10/2008 for the third cycle and 27/10/2008 to 31/12/2016 for the fourth cycle. This study is also emphasizing on the trend of the rational speculative bubble from one cycle to another cycle. This bubbles size was studied in three markets which are Hang Seng, S&P 500 and Nikkei 225 by using generalized Johansen-Ledoit-Sornette model. The difference
The Alternative Profit on Shariah-Compliant by using Compounding Theory
Authors: Gazali Nadhirah , Abdul Halim Nurfadhlina , Asrul Affendi Abdullah Mohd , Muhamad Amir W.Ahmad Wan , Mamat Mustafa , Abdullah Zailani , Mokhtar Kasypi
Published: May 2018

Islamic banking and conventional banking has same aim in the financial activity which is to gain profit. Profit of Islamic finance/banking in Malaysia is based on the profit rate, while for conventional banking based on interest rate. However, both profit rate and interest rate are determined based on the same reference rate, namely base rate (BR). The determination of the components contained in the BR such as benchmark cost of funds and the statutory reserve requirement (SRR) found that there is non-compliance with the Shariah perspective because this components directly proportional to the overnight policy rate (OPR). Therefore, an alternative formula for the profit rate was built which is known as the base profit rate (BPR). Form BPR model, determination of the profit based on compounding theory. Thus, construction of BPR formula is based on the principles that are much more Shariah compliant.
Analyzing and Optimizing Pedestrian Flow through a Single Route in a Topological Network
Authors: Khalid Ruzelan , Kamal Mohd. Nawawi Mohd , Azizul Baten Md , Ishak Nurhanis
Published: May 2018

In emergency cases, people are typically recommended to use the shortest route to minimize their travelling time.  This recommendation may however not yield the optimal performance in the long run since the route may be over utilized after a certain point of time and this situation eventually causes heavy blockages.  This paper thus measures the pedestrian flow performance through all available single routes in a topological network based on relevant arrival rates.  The performance was measured using an M/G/C/C state dependent queuing approach which dynamically models pedestrians’ walking speed in relation to their current density in a route.  The analysis was based on an imaginary network consisting of various routes and topologies.  For each route, its performance in terms of the throughput, blocking probability, expected number of pedestrians and expected travel time was first evaluated.  The performance was then compared to each other and also compared to the flow performance if all available routes were utilized.  The results indicated that the shortest route did not necessarily generate the optimal throughput and that the utilization of all available routes to flow pedestrians generated better performance.  The optimal performance could be obtained if the arrival rate was controlled at a certain level.
Skills Workers in Mechanical Engineering to Produce Portable Sprocket
Authors: Omar Ali Saifuddin bin Wan Ismail W , Binti Hamzah Noraini , Nazafee bin Mohd Ridhuan Tee Mohd
Published: May 2018

Sprocket is a wheel with teeth that mesh with a chain. It is being used widely in automotive and      machinery to transmit rotary motion between the shafts. In manufacturing the sprockets, some of the workers have the skills to make it and some of them lack the skills. Skills are important in manufacturing engineering. The main focus of this research is to help: i. the workers in manufacturing the sprocket efficiently; and ii. low cost while providing good quality of sprocket. In this research, operations that require machining some of them are simple which can be done easily such as turning. No other devices needed to hold the workpiece in such an operation. The research aims to develop a jig & fixture tool which is called a sprocket. While the research methodology is divided into 2 which are the procedure during the making of the project and the results and discussion obtained. This study is very useful for small and big industries for the sprocket process. It would help the user to make sprockets only using this sprocket maker to guide the drilling machine. It is a low cost and efficient way for manufacturers that is currently in this sprocket manufacturing.
An Analysis of Large Data Classification using Ensemble Neural Network
Authors: Mohamad Mumtazimah , Nor Shuhadah Wan Nik Wan , Amani Zakaria Zahrahtul , Che Alhadi Arifah
Published: May 2018

In this paper, operational and complexity analysis are investigated for a proposed model of ensemble Artificial Neural Networks (ANN) multiple classifiers. The main idea to this is to employ more classifiers to obtain a more accurate prediction as well as to enhance the classification capabilities in case of larger data. The classification result analyzed between a single classifier and multiple classifiers followed by the estimates of upper bounds of converged functional error with the partitioning of the benchmark dataset. The estimates derived using the Apriori method shows that the proposed ensemble ANN algorithm with a different approach is feasible where such problems with a high number of inputs and classes can be solved with time complexity of O(n^k ) for some k, which is a type of polynomial. This result is in line with the significant performance achieved by the diversity rule applied with the use of reordering technique. As conclusion, an ensemble heterogeneous ANN classifier is practical and relevant to theoretical and experimental of combiners for the ensemble ANN classifier systems for a large dataset.
Conceptual Framework for Stock Market Classification Model Using Sentiment Analysis on Twitter Based on Hybrid Naïve Bayes Classifiers
Authors: Abdulsattar A. Jabbar Alkubaisi Ghaith , Sakira Kamaruddin Siti , Husni Husniza
Published: May 2018

Sentiment analysis has gained a lot of importance in last decade especially on the availability of data from Twitter that has created more interest for research in this field. Nevertheless, stock market classification models still suffer less accuracy and this has affected negatively the stock market indicators. In this paper, a new framework related to sentiment analysis from Twitter posts is proposed. The proposed framework represents an improved design of classification model that works to improve the classification accuracy to support decision makers in the domain of stock market exchange. This model starts with data collection part and in second phase filtration is done on data to get only the relevant data. The most important phase is the labelling part in which polarity of data is determined and negative, positive or neutral values are assigned to statements of people. The fourth part is the classification phase in which suitable patterns of stock market will be identified by hybridizing NBCs. The last phase is performance and evaluation. This study proposes to a Hybrid Naïve Bayes Classifiers (HNBCs) as a machine learning method for stock market classification, hence represents a useful study for investors, companies and researchers and will help them to formulate their policies according to sentiments of people.
Development of scenario management and requirements tool (SMaRT): towards supporting scenario-based requirements engineering methodology
Authors: Nordin Azlin , Ikhwan Omar Amirul , Usamah Megat Mohamed Amin Megat , Salleh Norsaremah
Published: May 2018

Scenario-based methodology has been applied in analyzing real world experience into representation in software environment. Nonetheless, capturing, documenting and managing scenarios are extremely labor-intensive. Hence, the generic aims of this project are to investigate, explore and analyze requirements management process towards supporting scenario-based requirements approach. Based on our analysis of the existing RE or Requirements Management (RM) tools, most of the tools had less focus or missing some significant RE features to facilitate scenario-based   methodology. We analyzed all the relevant features and developed a prototype i.e.  Scenario-based Requirements Tool (SMaRT) to demonstrate how scenario-based approach can be implemented to further supports scenario-based RE  methodology and  covers most of the RE process  i.e. elicitation,  analysis  and  negotiation, documentation, validation,   and  management. SMaRT improves the RE tool features i.e. project and requirements management, document generation and validation function to further supports scenario-based RE methodology and covers most of the RE process i.e. elicitation, analysis, negotiation, documentation, validation, and management.
Collaborative requirements review
Authors: Nordin Azlin , Zainal Abidin Nadzurah , Hanum Mohd Zaini Sara
Published: May 2018

Requirements review is a formal review conducted to ensure that system requirements have been completely and clearly identified. In the conventional requirements review technique, reviewers are required to physically attend the review session and give their review feedback during the session. In such a situation, there are potential problems of scheduling the review session based on the availability of the reviewers and issues with having to physically attend the entire review session. Furthermore, the review session needs to be manually organized by the review leader and the outcome of the session need to be manually compiled. In some occasions, more than one sessions are required to be organized. Hence, the objectives of this project are to: (1) create means for the reviewers to perform review anytime and anywhere; (2) facilitate collaborative review session; (3) support checklist management for the review guidance; and (4) allow compilation of the review feedback to be generated.  As a case study, a web application for collaborative requirements review has been developed and tested. Finally, the features of the application are tested and issues are documented.
Improving Information management in resource as a service framework using gamification technique: a case study in Institut Pendidikan Guru Malaysia
Authors: Nordin A Rahman M , Khairi WM , Awang W
Published: May 2018

The issue of information management is crucial for any academic institution. Convenient access to requested content is creating a competitive advantage for different types of decisions. Information management process in Institut Pendidikan Guru (IPG) often create problems because there is no systematic way of storage management. IPG lecturers stored their teaching materials in different kind of methods. This situation cause in a loss of resources, difficult to retrieve and also cannot be identified when it's needed. Dealing with large volumes of resources it is essential to use technological solutions that enable flexible storage, retrieval, processing and interpreting information. To solve the problems, this article introduced a framework that use single platform and named as Information Sharing for Learning (IS4L) for managing teaching and learning resources in IPG. The resources will be stored and can be accessed at any time. The framework also applied the technique of gamification to motivate and encourage users to use the application and consequently will increase the volume of resources stored. The developed application based on the proposed framework could help to motivate and engage peoples to share their resources and enhance quality of services in IPG. Finally it could assist to improve the performance and effectiveness of services to achieve users’ satisfaction.
A theoretical framework of extrinsic feedback based-automated evaluation system for martial arts
Authors: Mohd Rizhan Wan Idris Wan , Rafi Ahmad , Bidin Azman , Amri Jamal Azrul
Published: May 2018

Martial arts (MAs) are considered as a preserved heritage primarily due to the fact that it promotes certain level of identities of a culture. MA refers to the art of combat and self-defense which normally combines offensive and defensive techniques. Technology advancements have made motion capture (MoCap) to be widely used in MA to capture and evaluate human performance. Nevertheless, researches on extrinsic feedbacks (EFs) of MA through the developed evaluation system are scarce. Furthermore, there is no complete framework of evaluation system suggested for MA. This paper presents the theoretical framework of EF-based automated evaluation system in the context of traditional local MA. The framework contains three modules including MoCap, recognition and evaluation. The MoCap module tracks human body accurately in order to generate skeleton, tune focused target, and record human movements. Recognition module develops a script of motion for templates and classification purposes using Reverse-Gesture Description Language (R-GDL) and GDL respectively. Evaluation module produces the extrinsic feedback in terms of pattern and score for the performed movements. This theoretical framework will be used in the development of the digital tool to measure the accuracy and effectiveness of motions performed by one of the traditional local MAs.
A Java Based Web Service Model for Library Information Discovery
Authors: Nordin A Rahman M , Hafizu Uba Usman
Published: May 2018

Library information discovery is a vital aspect of education development and management. Nowadays, many libraries offer the information regarding to facilities, resources and services to users through their website. The existing library information systems discover only their information and do not integrate the related information from other libraries. Therefore, web service technology has been developed, which is uses a standard interface to enable the consumer-to-business (C2B) or business-to-business (B2B) easily interact over the website. Currently, there is no standard model is developed to facilitate the users to discover and integrate the information of facilities, resources and services that published in the libraries website. This article discussed the development of a web service model that can discover and integrate the information in the various libraries website to the users by using Java Technology application program interface and tools provided by the integrated Web Services Stack.  In the modelling process, the library websites are converted into Extensive Markup Language format (XML) for examining the Simple Object Access Protocol (SOAP) of each website. The converted XML files are stored as the application data source, which lies as the core of the web service model. By using an XML parser, the XML files are parsed into XMLDOM format for manipulating its contents. XML request object hypertext protocol is used to receive or reload the data from the client to the server. Finally, HTML and cascading style sheet (CSS) are used to reload the information to the client and display it. The results show that the proposed model is able to achieve over 90% of information discovery average precision performance regarding to user’s query on facilities, resources and services provided in the library websites. The developed model can benefit library’s users to extract the resources, facilities and services provided by the library intelligently.
An Experience in Establishing the Mangrove Reference Data Center (MRDC) and its Augmented Reality Based Application
Authors: Syafiq Alam Shah Mohd , Azam Osman Mohd , Zawawi Talib Abdullah , Azizah Mohd Nor Siti
Published: May 2018

Mangrove forest is an ecosystem that is highly diverse not only in mangrove plants but also supports rich assemblages of fauna and other non-mangrove floral species.  It provides numerous kinds of ecosystem services that are of great benefit to humankind. However, to the general public, knowledge on the importance of mangrove ecosystems is very limited. In this paper, we present our experience in establishing the Mangrove Reference Data Center (MRDC) and its augmented reality-based mobile application called Kilim Scouter which provides information details of mangrove plants and related information to the users. MRDC is a data center that stores information details of mangrove plants in Kilim Geoforest Park in Langkawi Island, Malaysia such as common and scientific names of species, as well as its distribution (GPS location).  In addition, MRDC also stores other information for example other inhabitants of the ecosystem and non-living entities such as Karstic hills and caves found in the Mangrove ecosystem. MRDC comes with a web application that acts as an interface to MRDC for accessing, adding or modifying the information details of mangrove plants. Kilim Scouter is a mobile application which deploys Augmented Reality (AR) technology, a technology through which the view of the real world environment is augmented by adding computer-generated elements/objects. Kilim Scouter utilizes the AR technology to automatically track and identify the mangrove plants and its related information, and then provides the information by retrieving data from MRDC. MRDC and Kilim Scouter are capable of providing on-the-go accessibility of information details of mangrove plants and target users such as tourists and researchers. This application will create awareness on the importance of the mangrove ecosystems and thus, assist the effort in sustaining the mangrove ecosystem.
Comparative Review on Feature-content Based of Public Key Steganography Trends
Authors: Hafizah Abdul-Razak Nor , Din Roshidi , Ahmad Mazida
Published: May 2018

This paper intends to provide an up-to-date review on studies conducted in the field of Public Key Steganography (PKS). It is based on feature-content of PKS which are domain, scheme, and evaluation parameter aspects. It is concentrate on type of domain in PKS; schemes applied in PKS, and commonly used evaluation parameters in evaluating the performance of PKS system. Findings of this study are grouped into several subsections based on type of domain, schemes, and evaluation parameters. This review provides brief information related to important component in PKS environments. It provides an added value to the knowledge of PKS and also as a source of information to other researchers in conducting their study in the field of PKS. Besides, this study also provides a recommendation and good practices drawn from the reviewed literatures.
Predicting Network Faults using Random Forest and C5.0
Authors: Sheng Tan Ji , Kuan Ho Chin , Hui Lan Lim Amy , Rizal bin Mohd Ramly Mohd
Published: May 2018

The Internet is an enabling technology that assists daily and business activities. However, a network fault could prevent the user from accessing the internet thus creating trouble tickets. Ideally, accurate prediction prior to network fault allows the telco to respond before the customer raises a trouble ticket. Current research focuses on forecasting the quantity of trouble ticket using historical trouble ticket. To improve the prediction of network fault, the customer trouble ticket data is augmented to include internet usage data and signal measurement data. Random Forest (RF) and C5.0 Decision Tree algorithms are used to derive predictive models. Experiment results reveal that RF shows higher AUC score as compared to C5.0 Decision Tree. RF is able to identify the important features while C5.0 Decision Tree is able to list decision rules that describe the relation among selected features.
User Authentication Using Grid Based Method
Authors: Noratiqah Md Ariffin Siti , Fadzil Abdul Kadir Mohd , Nazari Mohd Rose Ahmad , Afendee Mohamed Mohamad , Rasid Mamat Abd
Published: May 2018

Grid recognition authentication is a method of securing user logins. This project is based on user authentication in Smartphone using grid, images, and pattern. It is an innovation from the existing security lock that used in the Smartphone. A smartphone usually consists the authentication techniques such as draw a pattern or inserting a password. But nowadays, those techniques are not completely secure because it is very easy to break through different type of attack like brute force, dictionary attack or key logger. In this project, a tool based Grid Based Method will be developed which is important to increase the security of the smartphone that using an iOS platform. By using this tool, the codes are difficult to break because the grids are hidden behind the image. Users can identify the cells that were selected in a grid during the registration stage.
Stationary wavelet transform based radiometric error correction technique for NOAA-AVHRR sensor data
Authors: Rajeswari V. Raja , Reddy S. Narayana , Jagadamba P.
Published: May 2018

Due to the inaccuracy of the sensing devices, remote sensing images contain radiometric errors, which can be severe in many cases. Therefore, the preprocessing is an inevitable step in the remote sensing image analysis. This paper presents radiometric errors and evaluates methodologies to retrieve information contained in images by means of filtering in the spatial domain and wavelet domain. Among those, the wavelet techniques are more effective to reduce noise because of their ability to capture the energy of a signal in fewer wavelet coefficients. In this study, Stationary Wavelet Transform (SWT) method and its application to NOAA -18, 19 AVHRR/3 channel 3 and channel 4 images to correct radiometric error is presented. Qualitative and quantitative analysis was carried to evaluate the performance of SWT method, both by measuring the Peak Signal to Noise Ratio (PSNR) and Structural Similarity Index Measure (SSIM), mean value, standard deviation (SD) and by visual inspection. The SWT based method can remove radiometric errors effectively and preserves radiometric information to a desirable amount. From the results, SWT based method is better in smoothness and accuracy than the conventional mean filter, median filter and Discrete Wavelet Transform (DWT) based method.
TARogic: Tangible augmented reality game
Authors: Tong Lee Kah , Quek Albert
Published: May 2018

Augmented Reality (AR) has been around for the past decade. It has been applied in many fields and one of the common fields is in education. In this paper, we have make use of Tangible Augmented Reality technology in creating an interactive game called TARogic that teaches students on the basic of programming logics. Tangible Augmented Reality is a combination of Augmented Reality (AR) technology and Tangible User Interface (TUI), which uses real environment objects to interact with the Augmented Reality (AR) environment. In this project, we have created a hardware console that uses USB drive as a tangible element to interact with the game. The USB drive is plug on to the console (Arduino module) to transfer the information of the game input to a smartphone via Bluetooth. The output is displayed on the smartphone in the form of Augmented Reality (AR) game objects and environment. By qualitative user evaluation of two groups of participants, 10 for each groups, 60% of the participants were positive with the overall learning experience using TARogic.