bluuebunny/crossref_metadata_2025 huggingface dataset:
Temperature distribution of T- joint friction stir welding
Authors: Aziz Hussein Sadiq , Abdul Khader Al-Jumaili Shaymaa , A. Mahmood Raed
Published: November 2018

Friction stir welding is a reliable welding method; it can be employed to join different structural configurations. Joint types such as lap, butt and T have been successfully produced by this welding method. In this study, a trial has been made to numerically simulate the heat generation and temperature distribution during the welding process of a T-joint. The workpieces materials were hardened 5052 and tempered 7075 Al Alloys, each material was investigated separately. Different rotational and welding speeds were used, besides, the pin length was also varied to accommodate the investigation of the top plate thickness effect. A visco-plastic finite element model was adopted to investigate the effect of parameters ranges on the temperature distribution. The results showed that the temperature distribution of T-joint depends mainly on the material to be welded and rotational speed. Besides, increasing the pin length from 7 to 10 mm could significantly increase the resulted temperature by approximately 14%. Therefore, the thickness of the upper plates of the T-joint plays a significant role on the resulted process temperature.
Modelling and analysis of a NTVV-SVM based three-level twin-step matrix converter
Authors: Ansari Shamsher , Chandel Aseem , . SMIEEE , Ali Sheikh Zulfiqar
Published: November 2018

Recently the tremendous advancement has been seen in the field of matrix converter topology. For high power drive applications, industries often need high power AC-AC converters like three level matrix converter because it is having the ability to generate a set of balanced sine waves for inputs as well as outputs. The three level matrix converters possess better output performance with reduced harmonic contents compared to all two-stage indirect matrix converters. In this matrix converter topology, the idea of neutral-point clamped-VSI is employed to the inversion step of the matrix converter circuitry. To control the power switches the gate signals are produced using NTVV based space vector modulation. To justify the theoretical study a complete model of a three-level twin-step matrix converter has been designed in Matlab/Simulink and its performances are analysed.
“Cloud computing an overview”
Authors: S Shilpashree. , R. Patil Renuka , C Parvathi
Published: November 2018

Cloud Computing is one of the emerging technologies in all fields and is called as the type of computing relayed on the internet. The main functions of Cloud Computing are hosting and delivering of various software and services using the internet. Depending on the demands and requirements of the user, the cloud computing affords the main computational resources to users as service. The main computational resources are larger storage space, server with high performance, various operating systems for various platforms and Network. The demand for these resources by the user is increasing day by day with the main drawback of security and is considered as a very serious problem in cloud computing. This paper has surveyed the various concepts related to cloud computing such as, the architecture, types and models for deployment, applications, advantages and disadvantages. The main goal of this paper is to provide a better knowledge about the cloud computing and its issues in the research on various domains.
Optimization on the Credit Risk of Companies in Malaysia With Data Envelopment Analysis Model
Authors: X. Agnes Lai J. , H. Lam J. , S. Lam W.
Published: November 2018

Financial institutions provide financial services to their clients or retail customers where money is managed. Credit risk has been identified as one of the dominant risks that affect the performance of a company. A firmâ€™s efficiency with different credit risk management practices is still unknown. This research aims to evaluate the credit risk management and efficiency of the financial institutions that are publicly listed in Bursa Malaysia from year 2013-2016 with the Data Envelopment Analysis (DEA) model. Based on the financial ratios, the DEA model allows the relative efficiency of a set of companies to be assessed by solving a linear programming model. The results show that ALLIANZ, APEX, BURSA, ECM, LPI and TAKAFUL are efficient in terms of their credit risk management. This study identifies the efficient and inefficient financial companies in Malaysia.Â Â
Genre Classification of Traditional Malay Music Using Spectrogram Correlation
Authors: A. Samad S. , B. Huddin A.
Published: November 2018

A method to classify the genre of traditional Malay music using spectrogram correlation is described.Â  The method can be divided into three distinct parts consisting of spectrogram construction that retains the most salient feature of the music, template construction that takes into account the variations in music within a genre as well as the music progresses, and template matching based on spectrogram image cross-correlation with unconstrained minimum average correlation energy filters. Experiments conducted with seven genres of traditional Malay music show that the recognition accuracy is dependent on the number of segments used to construct the filter templates, which in turn is related to the length of music segment used. Despite using a small dataset, an average recognition rate of 61.8 percent was obtained for music segments lasting 180 seconds using six relatively short excerpts.Â Â
EEG Calmness Index Establishment Using Computational of Z-Score
Authors: A. M. Aris S. , A. Bani N. , N.Muhtazaruddin M. , N. Taib M.
Published: November 2018

A lot of useful information can be obtained through observation of the electroencephalogram (EEG) signal such as the human psychophysiology. It has been proven that EEG is handy in human diagnosis and tools to observe the brain condition. The study aims to establish a calmness index, which can differentiate the calmness level of an individual. Alpha waves were selected as the data features and computed into asymmetry index. The data features were clustered using Fuzzy C-Means (FCM) and resulted in three clusters. Wilcoxon Signed Ranks test was applied to determine the significance of the data features clustered by FCM. The Z-score obtained successfully distinguish three level of calmness index from the lower index until the higher index. With the advancement of signal processing techniques, the feature extractions for calmness index establishment computation is achievable.Â Â
The Influence of User Interface Component on University Website Towards Student Enrollment
Authors: Alexander Onki , Ishak Zurida , . .
Published: November 2018

Website interface can be a very effective communication medium between the university and the users such as potential students, current students and other authorities. The purpose of this study is to investigate interface components that represent important information in university website, which led to the enrollment of students. This study is motivated by the user frustration or thwarted by the frequent usability problems of university website and problem in representing important information into required by potential students. The interface component and the important information on university website are identified through a comprehensive literature review. There are several factors that influence the student's decision process such as tuition fees, scholarship, ratings / reputation, vicinity to home and the majors offered. The interface components that are used in this research are metaphor, navigation, mental model, interactions and appearance. This study will produce the interface design guideline based on the most frequent used of interface component. Analysis of 5 universities has been conducted to identify how the important information, which leads to student’s enrollments is presented on the interface.
Adoption of Mobile Augmented Reality as a Campus Tour Application
Authors: Andri Chairil , Hazim Alkawaz Mohammed , Bibo Sallow Amira
Published: November 2018

Campus tours are among the opportunities for colleges and universities to show their environment, facilities and achievement to the visitors or prospective students. Along with the advancement technology of mobile devices, smartphone and tablet have created new possibilities for the institutions to create mobile application which is integrated with augmented reality to engage campus visitors in new and more intuitive ways. Augmented reality can superimpose a virtual object or information into real world environments. Many universities are utilizing this technology as a mobile campus touring application to make the visitors become familiar with the campus through the self-guided devices. This paper presents a survey of mobile campus tour application based augmented reality at various universities as well as the features of each application such as information about points of interest, location search, navigation, 3D campus building, campus events, ecological environment, virtual tour, and outdoor games.
VGG16 for Plant Image Classification with Transfer Learning and Data Augmentation
Authors: Aqib Haqmi Abas Mohamad , Ismail Nurlaila , Ihsan Mohd Yassin Ahmad , Nasir Taib Mohd
Published: November 2018

This paper discusses the potential of applying VGG16 model architecture for plant classification. Flower images are used instead of leaves as in other plant recognition model because the structure of shape and color of leaves are similar in nature. This might be disadvantageous when we want to use only leaves images as a sole feature of plants to classify the species. Previous work has demonstrated the effectiveness of using transfer learning, dropout and data augmentation as a method to reduce overfitting problem of convolutional neural network model when applied in limited amount of images data. We have successfully build and train the VGG16 model with 2800 flower images. The model able to achieve a classification accuracy score of 96.25% for training set, 93.93% for validation set and 89.96% for testing set.Â Â
Identifying High Impact Disaster Triggers on Computer Networks in Asia Pacific Region
Authors: Alayham Abbas Helmi Rabab , Jamal Arshad , Abdul Hameed Ashour Marwan
Published: November 2018

This paper aims to study various aspects of Asia Pacific region in order to identify the most common disasters as well as disasters with the largest impact. It represents a first step in developing a strategy to face topological network failure that is triggered by an accidental disaster. The study of Asia-Pacific region is crucial, firstly because in order to properly address a problem it is very important to properly define the problem at hand and its surroundings. Secondly, because disasters include in their impacts various aspects of the society those aspects have their own further effect on the society, therefore, it is of great importance to address all aspects of the region that can have a cross effect with disasters. The main focus in this paper is this cross effect with computer network infrastructure; due to their important role in the societyâ€™s way of life, as well as their fatal role during disasters and crisis.Â Â
Animation Effectiveness for E-Learning with Progressive Web App Approach: a Narrative Review
Authors: Wijaya Hadi , Alayham Abbas Rabab , . .
Published: November 2018

Understanding the content of a subject is the most fundamental thing a student should do to acquire the skills and knowledge. Animation is one way to provide an interesting way of learning. ALETRIA project is the reason to support the students for use animation methods that developed in novel e-learning concept. As a first step, the study of animation and e-learning development became the basis of this narrative literature. Terms of search that used in this paper is animation for learning, engagement and learnerâ€™s motivation. E-learning development with Progressive Web Apps (PWAs) were excluded from the search terms. 29 papers were selected for review as they are relevant to the criteria. The combined results of these papers recommend that there is reason to confident that the development of e-learning animations with the PWA approach might be effective to use.Â Â
The Impact of Using Gamification in Learning Computer Science for Students in University
Authors: Oktaviati Risna , Amril Jaharadak Adam
Published: November 2018

The utilization of technology can be implemented in education. Gamification is a new technology that used elements such as badges, level, and point of game play that implemented in a non-game context. In this research, the researcher analyzes some of the literature to establish in the extent of gamification to assist studentâ€™s motivation and engagement among Computer Science related subject. The researcher found that the most common element that implemented in learning Computer Science related subject were badges, point, level, and leaderboards. Implementing gamification elements in learning can be a tool that can motivate and engage the student in learning Computer Science.Â Â
Impact of News Sentiment Analysis on Market Price Movement During the Dividend Period
Authors: L. Hor W. , X. Goh W. , H. Ow S.
Published: November 2018

This study presents development of a system for analysing the polarity of stock market news to guide traders in making better decision when buying, selling or holding stocks during the dividend period. It will also help traders by reducing the risk of making inaccurate decision in trading. Trusted and reliable data such as dividend news, daily share market price, company news and announcements from Bursa Malaysia and The Edge Market will be used for performing news sentiment analysis using Azure Text Analytics. The results show that company news and announcements do not have significant effect on the Malaysia stock prices as the prices move within the range of 0-1%, which is the benchmark of the normal range of daily price movement.Â Â
Early Detection of Diabetic Retinopathy by Using Deep Learning Neural Network
Authors: Hazim Johari Mohamad , Abu Hassan Hasliza , Ihsan Mohd Yassin Ahmad , Md Tahir Nooritawati , Zabidi Azlee , Ismael Rizman Zairi , Baharom Rahimi , Abdul Wahab Norfishah
Published: November 2018

This project presents a method to detect diabetic retinopathy on the fundus images by using deep learning neural network. Alexnet Convolution Neural Network (CNN) has been used in the project to ease the process of neural learning. The data set used were retrieved from MESSIDOR database and it contains 1200 pieces of fundus images. The images were filtered based on the project needed.Â  There were 580 pieces of images types .tif has been used after filtered and those pictures were divided into 2, which is Exudates images and Normal images. On the training and testing session, the 580 mixed of exudates and normal fundus images were divided into 2 sets which is training set and testing set. The result of the training and testing set were merged into a confusion matrix. The result for this project shows that the accuracy of the CNN for training and testing set was 99.3% and 88.3% respectively.Â Â Â
Convolutional Neural Network (CNN) based Gait Recognition System using Microsoft Kinect Skeleton Features
Authors: Shahrum Md Guntor Mohd , Sahak Rohilak , Zabidi Azlee , Md Tahir Nooritawati , Mohd Yassin Ihsan , Ismael Rizman Zairi , Baharom Rahimi , Abdul Wahab Noorfishah
Published: November 2018

Biometric identification systems have recently made exponential advancements in term of complexity and accuracy in recognition for security purposes and a variety of other application. In this paper, a Convolutional Neural Network (CNN) based gait recognition system using Microsoft Kinect skeletal joint data points is proposed for human identification. A total of 23 subjects were used for the experiments. The subjects were positioned 45 degrees (oblique view) from Kinect. A CNN based on the modified AlexNet structure was used to fit the different input data size. The results indicate that the training and testing accuracies were 100% and 69.6% respectively.Â Â
An Agricultural Tele-Monitoring Method in Detecting Nutrient Deficiencies of Oil Palm Leaf
Authors: Asraf H Muhammad , Md Tahir Nooritawati , Dalila K.A. Nur , Hussain Aini
Published: November 2018

Nutrient management in oil palm plantation is considered as one of the prominent issues especially for smallholder farmer. The nutrient contained in the tress has always been neglected and untreated and these may cause the trees to suffer from nutrient deficiencies. Therefore, in leveraging the oil yield at the maximum, a telemonitoring system is developed to assess and monitor the lack of nutrients for respective trees. This is done using image processing technique and artificial intelligence in detecting the nutritional deficiencies by analyzing the leaf. The categorization focused by classifying into four major types either as magnesium deficiencies, potassium deficiencies, nitrogen deficiencies or healthy that is based on the oil palmâ€™s leaf surface. This is achieved by extracting the features namely number of red pixels, entropy and correlations. Further, two classifiers specifically support vector machine and artificial neural network is used for classification purpose along with performance measure using accuracy(ACC), Mean Square Error (MSE), Mean Absolute Error (MAE), Sensitivity (SN), Specificity (SP), Positive Predictive Value (PPV), Negative Predictive Value (NPV) based on ten-fold cross-validation. Results attained showed that the best classifier is SVM using RBF kernel (SVM-RBF) that is capable to accurately recognize the nutrient deficiencies with 100% accuracy.Â
Profiling of Myocardial Infarction History from Electrocardiogram using Artificial Neural Network
Authors: Hanis Hussin Amerah , Syukri Abdul Aziz Ahmad , Syahirul Amin Megat Ali Megat
Published: November 2018

Myocardial infarction is an irreversible damage of heart muscle caused by prolonged oxygen deficiency. As a result, the presence of damaged tissue will alter the normal sinus rhythm. Hence, the paper proposes to profile history of myocardial infarction from electrocardiogram using artificial neural network. Data for anterior and inferior myocardial infarction, as well as healthy control is acquired from PTB Diagnostic ECG Database. Subsequently, QRS power ratio features for different frequency zones are extracted from the pre-processed electrocardiogram. Discriminative ability of the features is assessed using k-nearest neighbor. The best combination of features with 99.7% testing accuracy is the power ratio composite that combines both low-frequency and mid-frequency information. An intelligent profiling model is successfully developed using the composite features and an optimized artificial neural network. The model was able to identify between different electrocardiogram groups with overall accuracy of 98.4% and mean squared error of less than 0.1. Conclusively, the proposed signal processing approach has provided an improved alternative to the established methods from literature.Â Â
Comparative Study of Document Clustering Algorithms
Authors: M. Ariff N. , A. A. Bakar M. , I. Rahmad M.
Published: November 2018

Text clustering is a data mining technique that is becoming more important in present studies. Document clustering makes use of text clustering to divide documents according to the various topics. The choice of words in document clustering is important to ensure that the document can be classified correctly. Three different methods of clustering which are hierarchical clustering, k-means and k-medoids are used and compared in this study in order to identify the best method which produce the best result in document clustering. The three methods are applied on 60 sports articles involving four different types of sports. The k-medoids clustering produced the worst result while k-means clustering is found to be more sensitive towards general words. Therefore, the method of hierarchical clustering is deemed more stable to produce a meaningful result in document clustering analysis.Â
Conceptual oriented study on the cloud computing architecture for the full-security
Authors: K.Sai Manoj Dr. , K.Mrudula Ms. , Maanasa G , Phani Srinivas K
Published: November 2018

Many developers have designed their own architecture for installing the cloud computing infrastructure. The existing cloud computing architectures differs in many ways. Security has been the serious issue as client related data and processing is un-dertaken using the infrastructure provided by third party service providers varies greatly. It is necessary to know the extent of inclusion of security into the cloud computing system and then find the best architecture that includes best and tight security system.In this paper, a comparison of existing architectures from the perspective of inclusion of security infrastructure within cloud computing system is presented along with a comprehensive architecture that is included with every aspect of security taking into account the most of the vulnerabilities
A Review on Different Types of Live VM Migration Methods with Proposed Pre-Copy Approach
Authors: Kumar Bhatia Arvind , Singh Gursharan
Published: November 2018

Cloud computing is being considered as the future architecture of IT world. Virtualization creates logical resources from physical resources which are allocated with flexibility to applications. Server virtualization is a technique for the division of the physical machine into many Virtual Machines; every Virtual Machine has the capacity of applications execution similar to physical machine. The capability of Virtual Machine migration i.e. dynamic movement of Virtual Machines between physical machines is achieved by virtualization. Migration techniques differ w.r.t order of state transfer. Pre-copy migration method transfers all pages of memory from source to destination while Virtual Machine is executing on source. Post-copy migration is transfer of memory. content after the transfer of process state. Specially, post-copy migration, first copied the process states to the destination machine. Total time of migration, Total pages transferred and Downtime are important parameters considered during live Virtual Machine migration. Many improved live pre copy Virtual Machine migration techniques tries to decrease all the three above mentioned parameters. Proposed approach also tries to minimize all the three performance parameters.
A Software Agent Based Technique for Load Balancing in Partitioned Cloud
Authors: Kaur Mandeep , Rajni Mohana Dr.
Published: November 2018

Large number of users are shifting to the cloud system for their different kind of needs. Hence the number of applications on public cloud is increasing day by day. Public clouds considered and is the most convenient platform for common cloud users with generic needs and lesser security concerns. Public cloud can cater to the needs of a large group of users and provide a variety of services. Lower cost and timely availability are the other advantages one expects from public clouds. These features make it very much convenient and attractive choice. But on the other hand, handling public cloud become unmanageable in comparison to other counterparts. Monitoring so many users, tasks and resources are difficult task. Sometimes public clouds are divided on geographically.  Geographic partitioning of public cloud can resolve these issues by adding manageability and efficiency in this situation. But, partitioned clouds introduce different ends for submission and operations of cloudlets and virtual machines. This ends for task submission and resource allocation adds complexities also. A concrete mechanism is to be designed for handling the load allocation and processing of the nodes. The proposed work is addressing the same issue by advising a combination of centralized and decentralized load balancing. The main objective of this work is to fix a VM for a cloudlet, which can process it in minimum time and without overloading or underloading the datacenters. Another objective under consideration is to reduce the number of jobs left unhandled due to threshold constraints.
A Comparative Study of Different Load Balancing Techniques
Authors: Parashar Jyoti , Avinash Sharma Dr.
Published: November 2018

Cloud computing is a new technology used to manipulate, configure and can be used to access distributed computing applications in the network. It implements the load balancing approach which is used to distribute all of its workload to every node connected in the network. By using this technique resource utilization is done properly. It can also used to achieve user satisfaction and computing resources. If load balancing is used properly then it can efficiently and properly implement the fail-over, scalability, over- provisioning techniques. It can also minimize the resources used and avoid the bottleneck. In my research, review of different load balancing techniques, its usage, limitations, applications and various performance metrics are described..
Offline Signature Verification using Intelligent Algorithm
Authors: Kumari Kamlesh , Rana Sanjeev
Published: November 2018

Signature verification is important in banking, legal, financial transactions for security purpose. Offline signature verification is a complex task because active information i.e. temporal information is missing in static image. There is no standard feature extraction method for offline signature identification as in case of other behavior modalities e.g. in automatic speech recognition like LPCC (Linear Predictive Ceptral Coefficients).Our research presents an intelligent algorithm for feature extraction based on image difference of genuine signature image and questioned signature image. Six features i.e. average object area, entropy, standard deviation, mean, Euler no., and area are analyzed. Best results are reported using combination of Average Object Area, Mean, Euler No. and Area. CEDAR (Center of Excellence for Document Analysis) database is used for offline signature verification. The database consists of static signature samples taken from 55 users. The Proposed algorithm is quite efficient as it is less computationally. Experiments are performed with both models i.e. Writer-Independent (WI) system and Writer-Dependent.
Optimizing the Medicine Procurement Process
Authors: Mani Vijaya , Haridasan Vani
Published: November 2018

Purpose: The major focus of the research was to improve and suggest cost effective medicines to the hospital by identifying, documenting and analyzing the various issues in drug utilization pattern. It also aimed to optimize the rational use of medicines in the selected  Hospital in Tamil Nadu.Approach: The Inventory Management techniques like ABC and VEN analysis were done on 414 medicines by utilizing the annual consumption and expenditure data extracted from the Hospital records.Results: The research could identify the medicines (A category- ABC) which require stringent management managerial control and also identified the vital drugs (VEN)which should be made available at all times in the hospital in order to improve the hospital efficiency.
Lane keeping performances subjected to whole-body vibrations
Authors: Azizan Amzar , Padil Husna
Published: November 2018

Despite the fact that many research have been carried out on the characterization of the effects of whole-body vibration on seated occupantsâ€™ comfort, there is still very little scientific knowledge regarding drowsiness caused by the vibrations. Furthermore, there are less verified measurement methods available to quantify the whole body vibration-induced drowsiness of the vehicle occupants. This study is therefore set out to evaluate the effect of vibrations on drowsiness. 20 male volunteers have been recruited for this experiment. The data for this study is gathered from 10-minute simulated driving sessions under both no-vibration conditions and with a vibration that is randomly organized. Gaussian random vibration, with 1-15 Hz frequency bandwidth at 0.2 ms-2 r.m.s. for 30 minutes, is applied. During the driving session, the volunteers are required to obey the speed limit of a 100 kph and keep a consistent position in the left-hand lane. The deviation in the lateral position are recorded and analyzed. Additionally, the volunteers are also asked to rate their subjective drowsiness level by means of Karolinska Sleepiness Scale (KSS) scores for every five minutes. Based on the results, the role of vibration in promoting drowsiness can be observed from the driving impairment following 30-mins exposure to vibration.Â Â
Wing-in-ground-effect craft: A case study in aerodynamics
Authors: Wiriadidjaja Surjatin , Zhahir Amzari , Hilall Mohamad Zahratu , Razali Shikin , Afifi Puaat Ahmad , Tarmizi Ahmad Mohamed
Published: November 2018

A wing-in-ground-effect (WIGE) crafts can be deployed to fly by utilizing the ground effect, which is a natural phenomenon known to improve the efficiency of airplanes during take-off and landing approaches. In contrast, WIGE craft is not commercially viable for public transport mainly due to the difficulties in controlling its longitudinal stability. As an attempt to support the development of WIGE crafts, this paper presents a case study in aerodynamics based on certain published reports, specifically to reveal the available research data that are considered of interest and can be used as a lesson for further study and analysis. The wind tunnel procedure and testing, as well as numerical investigation of a WIGE craft, are applied and the results are then analyzed. The discussions are oriented in the perspectives of aerodynamics. Based on the tests and calculation, parameters concerning the ground effect as the WIGE crafts approaching the ground surfaces may be identified and hence their values can be determined. Thus, the static longitudinal stability may then be established and optimized for control of the WIGE craft.Â Â
Investigation of flow and heat transfer at the surface of a single circular cooling fin
Authors: Z Sapozhnikov S , Y Mityakov V , V Mityakov A , A Gusakov A , A Grekov M , V Seroshtanov V
Published: November 2018

All heat transfer processes are connected with flow structure. It is important to know both heat transfer and flow characteristics. For the first time it is proposed to connect Particle Image Velocimetry (PIV) method with gradient heat flux measurement and thermal imaging for complex study of hydrodynamics and heat transfer at the surface of a single circular cooling fin. The hollow fin is heated with saturated water steam; meanwhile its isothermal external surface simulates the ideal fin. Flow and heat transfer at the surface of the solid fin of the same size and shape, and made of titanium alloy is investigated in the same regimes. Gradient Heat Flux Sensors (GHFS) were installed at different places of the fin surface. Velocity field near the fin, temperature field at the surface of the fin and heat flux were obtained. Comprehensive method including heat flux measurement, PIV and thermal imaging allows to study the flow and heat transfer at the surface of the fin in real time regime. The possibility of complex study of flow and heat transfer for non-isothermal fins is shown.Â
Aircraft pitch control tracking with sliding mode control
Authors: M. Rouyan Nurhana , Varatharajoo Renuganth , Eshghi Samira , Junita Abdullah Ermira , Suzuki Shinji
Published: November 2018

Sliding mode control (SMC) is one of the robust and nonlinear control methods. An aircraft flying at high angles of attack is considered nonlinear due to flow separations, which cause aerodynamic characteristics in the region to be nonlinear. This paper presents the comparative assessment for the flight control based on linear SMC and integral SMC implemented on the nonlinear longitudinal model of a fighter aircraft. The controller objective is to track the pitch angle and the pitch rate throughout the high angles of attack envelope. Numerical treatments are carried out on selected conditions and the controller performances are studied based on their transient responses. Obtained results show that both SMCs are applicable for high angles of attack.Â Â
The needs of aircraft avionicsâ€™ radio line replaceable unit repair center at UniKL MIAT
Authors: Wasi Zainal Ariffin Muzzaffar , Khudri Johari Muhd , Ibrahim Hashim
Published: November 2018

For the local aircraft maintenance industry, radio line replaceable unit (LRU) has been essential in aircraftâ€™s airworthiness but at the same time, costly for many Malaysian aviation companies. This study analyzes the survey conducted with 66 aviation industry personnel from 11 local aviation companies, which have had to spend a considerable amount of financial budget on their LRU maintenance every year. The conclusion from the survey data shows that most of them agreed on the need to establish an LRU Center in a local approved training organization such as Universiti Kuala Lumpur â€“ Malaysian Institute of Aviation Technology (UniKL MIAT) because of several justifiable reasons such as significantly cheaper costs, more hands-on training and job opportunities, shorter delivery time, and possible research and development benefits.Â
Lift distribution of washout twist morphing MAV wing
Authors: I. Ismail N. , Yusoff H. , Sharudin Hazim , Pahmi Arif , Hafi H. , M.M Mahadzir
Published: November 2018

Micro Air Vehicle, or also commonly known as MAV, is a miniature aircraft that has been gaining interest in the industry. MAV is defined as a flying platform with 15cm wingspan and operates at a speed of around 10m/s. Recently, MAV has been exposed with the latest development and link towards the biologically-inspired designs such as morphing wing. Twist morphing wing is one of the latest MAV wing design developments. The application of Twist Morphing (TM) on MAV wing has been previously known to produce better aerodynamic performance. Previous study in washin TM wing has shown a promising possibility of generating higher lift force. Despite the benevolent performance exhibited by the washin TM wing, the lift distribution for the washout type of TM MAV is relatively unknown and still open to be explored. This is probably due to the lack of experimental test rig to produce the washout twist morphing motion on the MAV wing. Therefore, this research aims to produce a special test rig for washout TM wing that is compatible for wind tunnel experimental testing. By using the special test rig, the experimental investigation on the lift performance of washout TM MAV wing can be done. Based on the wing deformation results, it clearly shows that the proposed test rig is capable to produce up to 19.5mm tip deflection at the morphing point, which is also resulting in a significant morphing motion. Higher morphing force induces larger morphing motion. Based on the lift distribution results, they show that the morphing motion has significantly affected the overall lift distribution on the MAV wing. The morphing motion on TM wing has produced at least 17.6% and 5.33% lower CL and CLmax magnitude, respectively, with the membrane wing especially at the pre-stall region. However, the TM wing is still able to maintain the stall angle similar to the baseline wing at Î±stall= 31Â°. By maintaining high Î±stall value with lower CL and CLmax magnitude, TM wing produces more agility for the MAV maneuverability that will be useful for indoor mission or obstacle avoidance flight.Â Â
Trajectory tracking of quaternion based quadrotor using model predictive control
Authors: Islam M , Okasha M , M Idres M , Mansor H
Published: November 2018

The aim of this paper is to introduce the trajectory tracking with a quaternion based quadrotor operation using model predictive control (MPC). Since the efficacy of MPC on a system under noise and disturbance has been distinguished, it is a fair and successful attempt to apply MPC on the quaternion based quadrotor, which is a quite well-known system with uncertainties during operation. Quaternion approaches singularity-free orientation that is advantageous to design any trajectory for quadrotor wherein roll or pitch angle reaches at 90o. As a quaternion, with its four-tuple characteristics that incorporate vector elements, is different from Euler-angle orientation, a new cost function has been developed for the respective MPC controller. In order to achieve singularity-free orientations and abate the model infidelity of the system, the quaternion and MPC algorithm have been incorporated for quadrotor flight. Simulation based results elucidate the success of trajectory tracking of quaternion based dynamics of quadrotor using MPC approach.Â Â
A review of techniques for embedding shape memory alloy (SMA) wires in smart woven composites
Authors: Mahmood Baitab Danish , Laila Abang Haji Abdul Majid Dayang , Junita Abdullah Ermira , Faisal Abdul Hamid Mohd
Published: November 2018

Metallic structures, in various industrial fields such as transport and aerospace, are mostly replaced by composite structures having less weight and good strength. There is also a need of intensification of the operational dynamic environment with high durability requirements. So a smart composite structure is required that can manifest its functions according to environmental changes. One method of producing smart composite structures is to embed shape memory alloys in composite structures. Shape memory alloys (SMAs) have significant mechanical and thermodynamic properties and are available in very small diameters less than 0.2mm. These SMAs are embedded into composites for obtaining smart composites having tunable properties, active abilities, damping capacity and self-healing properties. Shape memory alloys are available in different shapes as wires, sheets, foils, strips, etc. For smart composites, mostly SMA embedded are in wire shape. Different techniques are used for embedding SMA wires in composites. SMA wires can be embedded between layers of laminates of composites, or embedded directly as reinforcement in matrix and can be woven into fabrics and used as a reinforcement. This paper reviews the different techniques of embedding SMA wires in composite structures, their pros and cons and their applications.Â Â
Towards a sustainable aerogel airship: A primer
Authors: Bheekhun Nadiir , Rahim Abu Talib Abd , Cardenas Fortunato
Published: November 2018

Airships are the ï¬rst craft that realized mankindâ€™s dream of controlled, powered ï¬‚ight but have been a forsaken method of air transportation since the invention of heavy-than-air aircraft. However, environmental concerns have urged humanity to think once again over the possibility of deploying these lighter-than-air ships. This paper describes an on-going project thereby a nature-inspired airship, namely Huvr Trek is being designed to address current airborne technological, economical and ecological gaps. It uses the worldâ€™s best thermal insulator and second lightest material, silica aerogel for inhibiting heat transfer within the balloon for efficient lift as well as in a prototype liquid-fuelled ramjet for propulsion. The airship uses carbon aerogels also as super capacitors for energy storage. Proposed applications of the aerogel airship are and implementations into advertising and tourism, surveillance, environmental monitoring, planetary exploration, cargo transportation, stratospheric observation, medical equipment carrier and telecommunication relay.Â
Review on low velocity impact of nanocomposite in addition of nanoclays
Authors: Abdul Laziz Aâ€™liya , Mazlan Norkhairunnisa , Zuhri Mohd Yusoff Mohd , Hanim Mohamed Ariff Azmah
Published: November 2018

Many exciting new materials that generated with novel properties with rapidly growing field as nanocomposites. Hybrid materials such as polymer nanocomposites has at least one dimension in the nanometer range are made of dispersed inorganic filler in an organic polymer matrix. When a small amount of filler is used, the macroscopic properties of the polymer will strongly modified. Furthermore, the nanofillers will has a greater aspect ratio. Therefore, nanocomposites usually have better properties such as higher mechanical properties and thermal stability compared to neat polymers. Aerospace, automotive, electronics, and biotechnology industries offered the new technology and business opportunities by applications of nanocomposites due to its environmentally friendly properties. The results of an experimental presents the low velocity impact made on different composite with an addition of nanofillers. A drop weight testing machine are used to evaluate composites behaviour with different nanoclay content. In conclusion from this review, nanoclay loading with 3% shows the best properties among the other loading with least damage area and lowest absorbed energy.Â
Material selection and design analysis of multi-purpose disposable safety syringe
Authors: Nasri Ishak Mohd , Rahim Abu Talib Abd , Yazdi Harmin Mohammad
Published: November 2018

Current design of safety syringes requires two handed operation and additional processes which is not similar to the normal syringes. Due to this concern, a new design of safety syringe is introduced in order to produce a safety syringe which allows a single-handed operation and similar to the operation of a normal syringes. This paper presents the material selection process and design analysis of a newly devel-oped multi-purpose disposable safety syringe. Based on the design analysis, the force which needed to dismantle the nozzle is found to be 20 N and this value is practical for the end users. The finite element analysis had also shown that the design concept is safe and has safety feature for the user to use. In addition, copolymer is proven as the best material selection for safety syringe production.
Better load balancer design for signaling server in WebRTC communication
Authors: Kumar B. J Santhosh , Sankar Nithya , V G Karthika
Published: November 2018

Most WebRTC applications can communicate through video and audio and other modes. WebRTC allows browser-to-browser multimedia imparting on the web. The proposed system emphasizes over the core architecture and allied technologies of WebRTC server accepting video input and producing output, multimedia transmission, peer-to-peer connection establishment and signaling mechanism. The system makes use of many components and focuses on designing a scalable load balancer architecture for the signaling servers. Currently there is a need of high quality and feasible solution that facilitate communication in the browser but WebRTC makes this possible and scalability feature is compared with open source (Licode’s WebRTC server).
Impact of End User Development Technical and Environmental Factors on Software Cost
Authors: Srivastava Archana , S KSingh Dr. , Syed Qamar Abbas Dr.
Published: November 2018

Software project manager is confronted with the dilemma of accurate estimation at the very beginning of the project. Quantitative estimates are required at the early stages of development. Software cost estimation is accounted as an important factor while making estimations in Software Engineering. There is no simple way to make an accurate estimate of the effort required to develop software systems incorporating EUD/EUP because of many reasons like unclear user requirements, lack of knowledge on new technology, changing technology requirements and unavailability of solid information. End users were significantly more satisfied with applications they had developed themselves and which possess quality parameters as per their requirements. If the software incorporates End user development features then additional effort may be required in development and designing the EUD features. This paper discusses the impact of end user quality parameters on the overall effort of the software development. It includes a comparative analysis of UCP with my published model AUCP in terms of effort. It also ponders cases where End user development should be positively considered as an additional cost driver for effort estimation.
Doctor appointment application: a user experience experiment
Authors: Omar Firas
Published: November 2018

Designing an application with elevated usability is the aim of the study. The more usable, more positive user experience we are achieving.The medical field is currently experiencing low UX applications and interfaces. The study will strive to address the healthcare systems in Jordan.While taking the user into our consideration and giving what he/she might find usable and enjoyable a high priority, only by such approach we will succeed and achieve a positive user experience.
Effects of reactivity metakaolin on properties of high strength concrete
Authors: Ahmed Aday Luma
Published: November 2018

Reactivity Metakaolin (MK) is an engineered pozzolanic mineral admixture, reacts aggressively with calcium hydroxide, which results in significant performance of concrete.In this work, different aspects of concrete mechanical behaviors have been studied including compressive and flexural strengths. In addition, some characteristics of concrete durability were investigated including absorption and porosity.In mixture proportioning, 5% and 10% of cement content is replaced by MK it was observed that concrete with 5% and 10% MK would perform almost the same in improving the mechanical properties of the materials. However In term of workability and durability, a better performance was obtained in concrete with MK. All mixes compressive strength is determined at 7 and 28 days. Current experimental study shows that 10% replacement of cement by Metakaolin gives higher strength.
Cloud infrastructure solution: Building cost effective model for real time hands-on labs using computing methodologies for productive learning solutions in academics
Authors: Madhukar Ghorpade Yogesh , Dr. R. Kamatchi Prof.
Published: November 2018

By in 2021, more than half of global enterprises already using cloud today adopt an all in cloud strategy [6]. Is today the world of modern infrastructure using digital transformation results cost effective approach? If yes, than how it has to be transformed and if No, than what are the differences between approaches applied. The cost effective methodology and its implementation is primary approach towards cost computing to bring effectiveness with the proper requirements and provides proper solution.The productive learning with different approach is the vital requirement for today’s Cloud infrastructure building from student’s perspective needs to be understood [13 - 15]. The paper aims in building and implementing the Lab infrastructure using developed model for cost effective approach by comparing On-premise vendors with cloud vendors. The technology that is used for the experiment are open-source and Proprietary. The paper results with the best approach used in cost computing methodology providing best solution for the given requirement in academic environment.
A novel approach based on sequence prediction for webpage access
Authors: Thon Da Nguyen , Hanh Tan
Published: November 2018

Predicting the next item of a sequence over a finite alphabet is highly important in Web Mining. This paper presents a solution to improve the performance of sequence prediction; first and foremost, predicting what is the next Web page that will be visited by that user for prefetching the Web page. The proposed approach is how to decrease the complexity of the prediction space. Experimental results on a few real-life datasets show that the time execution of this novel approach is better than that of traditional approaches.