bluuebunny/crossref_metadata_2025 huggingface dataset:
A Review on Various Sniffing Attacks and its Mitigation Techniques
Authors: Prabadevi B. , Jeyanthi N.
Published: January 2019

Security in the era of digital computing plays a vital role. Of various attacks in the field of computing, Distributed Denial of service (DDoS) attacks, Man-in-the-Middle Attack (MITM) and data theft have their major impact on the emerging applications. The sniffing attacks, one of the most prominent reasons for DDoS attacks, are the major security threats in the client-server computing. The content or packet sniffer snorts the most sensitive information from the network and alters or disturbs the legitimate functionality of the victim system. Therefore it is extremely important to have a greater knowledge on these vulnerabilities, their issues, and various mitigation techniques. This study analyses the existing sniffing attacks, variations of sniffing attacks and prevention or detection mechanisms. The reasons for most vital Ransomware are also discussed.
Developing an Userfriendly Online Shopping Web-Site
Authors: Saibaba G , Vaidya Prasanth
Published: January 2019

In this era of internet, e-commerce is growing by leaps and bounds keeping the growth of brick-and-mortar businesses in the dust. In many cases, brick-and-mortar businesses are resorting to having a counterpart which is internet or e-commerce driven. People in the developed world and a growing number of people in the developing world now use ecommerce websites on a daily basis to make their everyday purchases. Still the proliferation of e-commerce in the underdeveloped world is not that great and there is a lot to desire for It consists of the planning process, which starts with determining the use case, domain modeling and architectural pattern of the web application. The entire development process is primarily divided into two parts: the front-end development and the back end development. The database design is also discussed with an emphasis on its relational connectivity.
An Accurate and Efficient Scheduler for Hadoop MapReduce Framework
Authors: Vinutha D C , Raju G.T
Published: January 2019

MapReduce is the preferred computing framework used in large data analysis and processing applications. Hadoop is a widely used MapReduce framework across different community due to its open source nature. Cloud service provider such as Microsoft azure HDInsight offers resources to its customer and only pays for their use. However, the critical challenges of cloud service provider is to meet user task Service level agreement (SLA) requirement (task deadline). Currently, the onus is on client to compute the amount of resource required to run a job on cloud. This work present a novel makespan model for Hadoop MapReduce framework namely OHMR (Optimized Hadoop MapReduce) to process data in real-time and utilize system resource efficiently. The OHMR present accurate model to compute job makespan time and also present a model to provision the amount of cloud resource required to meet task deadline. The OHMR first build a profile for each job and computes makespan time of job using greedy approach. Furthermore, to provision amount of resource required to meet task deadline Lagrange Multipliers technique is applied. Experiment are conducted on Microsoft Azure HDInsight cloud platform considering different application such as text computing and bioinformatics application to evaluate performance of OHMR of over existing model shows significant performance improvement in terms of computation time. Experiment are conducted on Microsoft Azure HDInsight cloud. Overall good correlation is reported between practical makespan values and theoretical makespan values.
Secure and Efficient Bi-Directional Proxy Re-Encyrption Technique
Authors: B M Chandrakala , Reddy S C Linga
Published: January 2019

The low cost availability of smart devices and broadband connection has led to rapid growth of communication over Internet. As of today the internet based communication service is widely used in various application services such as in E-Mail transaction of sensitive data (medical data), online money transaction etc. all these services requires a strong security. There has been continuous ongoing research by various cryptanalyst to enhance security of cryptography especially in semi-untrusted server. However, performance, computation time and ease of use play a significant role in using the algorithm for implementation. Proxy re-encryption plays a significant role in protecting data that are stored in semi-untrusted server. Many existing Proxy re-encryption technique induces high computation overhead due to adoption of public key cryptography such RSA (Rivet Shamir Adleman), ECC (Elliptical Curve Cryptography) etc. and it suffer from quantum attack. To address this lattice based cryptography is adopted by various approaches which is based on Learning With Error which shows resilience against quantum attacks such Chosen Cipher data attack and Chosen Plain Text attack. The drawback with existing lattice cryptography based approach is that they are unidirectional and adopts bilinear pairing which compromise security and induces high computation cost. To address this work present a Bidirectional Proxy Re-encryption scheme by adopting lattice based cryptography technique. Experiment is conducted for computation overhead by varying key and data size which attained significant performance improvement over existing Proxy Re-encryption scheme.
A Design Consideration for Planar Inverted Fractal Antenna to Minimize Length-Dependent Specific Absorption Rate
Authors: Haque Akramul , Alimur Razi Sheikh , Mohammad Nur , Shamsul Arifin Md. , Delwar Hossain Quazi
Published: January 2019

This paper presents a numerical solution to minimize electromagnetic radiation from a Planar Inverted Fractal Antenna (PIFA) used in cellular phone. The PIFA is simulated using a semiconductor substrate having a dielectric constant of 3.38. The height of the dielectric substrate is 0.813 mm. The designed antenna is simulated at a broad range of microwave frequency spectrum used in cellular communication. A 50-ohm probe of 0.5 mm radius perpendicular to the ground substrate plate is used as a feeding medium. The antenna performance is evaluated for three different lengths keeping all other parameters constant. Simulation results show that the intended PIFA having a length of 20 mm can be used effectively to reduce the Specific Absorption Rate (SAR) of radiation. Moreover, the reflection coefficient was found to be minimal 0.1569 at 20 mm antenna length which is determined by characteristic impedance relation. Therefore, this investigation of minimizing the radiation absorption can be considered during the implementation phase of various cellular antennas to avoid radiation-related health hazards.
An Efficient Framework to Improve QoS of CSP using Enhanced Minimal Resource Optimization based Scheduling Algorithm
Authors: Mahadevan Ravi , Anbazhagan Neelamegam
Published: January 2019

Online Nowadays, the enterprises & individuals are contributing their workloads on cloud service providers which are going to increase on daily basis. There are   large amount CSP are available to offer virtualized and dynamic resource on pay and use basis. However, there are almost CSP failed to maintain quality of service (QOS) and minimal resource optimization. Some of the existing approaches are highly dedicated on scheduling policy but, it does not considered reliable services with optimized QOS. To offer best solution of above problem, the framework proposes Enhanced Minimal Resource Optimization based Scheduling Algorithm to minimize the resources and maintain the QOS.  The method avoids delay in Request-Response model in cloud environment. To avoid overload for resource allocation, the proposed design utilized optimized scheduling policy.  Proposed mechanisms utilized optimized service brokering policy to reduce the delay response in cloud environment. The framework also help cloud user to prefer best CSP according to their prior services. The method offers rising trend of resource based structure to reduce the placement churn extensively. Proposed system utilized efficient scheduling policy to transmit data request to CSP with minimal data processing time. The entire utilization is to improve the QOS of cloud service provider in the features of multi-dimensional resource. Based on experimental evaluations, proposed technique improves the CPT (Computation Processing Time) 301.72 milliseconds, BU (Bandwidth Utilization) 20 Mbps, CPUU (CPU Utilization) 5% & MRU (Memory Resource Utilization) 3% on given input parameters compare than existing methodology.
Developing an Enhanced High-Speed Key Transmission (EHSKT) Technique to Avoid Fraud Activity in E-Commerce
Authors: Hajira Be A.B. , Balasubramanian R.
Published: January 2019

E-commerce is an emerging and convergence of numerous main information technologies in business practices. E-commerce is an online website where the sale or buys of merchandise ordered electronically. It gives a simple approach to sell items to customers. In the applications suffers payments issues; for example, electronic transactions utilizing Visas or debit cards, net banking, PayPal or different tokens have more consistency problems and are at expanded hazard from being focused than different sites as they suffer more outcomes if there is information loss or modification. An Enhanced High-Speed Key Transmission (EHSKT) Technique is proposed for secure and efficient payment transactions and avoids fraud activity. The proposed system works based UUID (Universally Unique Identifier) to generate a unique id for payment transactions. Proposed system generates Unique id have a combination of number, alphabets, & special character to avoid fraud users. The proposed design reduces the encryption, decryption time and key complexity. Based on Experimental evaluations, proposed methodology reduces 4.73 AD (Average Delay), 23.91 EC (Energy Consumption), 0.95 ET (Encryption Time), 0.85 DT (Decryption Time) and improves 59.8% (Throughput) compared than existing methodologies.
Eigenvalue of Analytic Hierarchy Process as The Determinant for Class Target on Classification Algorithm
Authors: Mustakim Mustakim , Sari Novia Kumala , Jasril Jasril , Kusumanto Ismu , Reza Nurul Gayatri Indah
Published: January 2019

Data mining has two main concepts of data distribution, namely supervised learning and unsupervised learning. The most easily recognizable concepts from data distribution is related to the dataset, with and without target class. Analytic Hierarchy Process (AHP) technique that carries the concept of pairwise comparison able to answer the problem related to the dataset, which is to change unsupervised to be supervised by determining eigenvalue value of each attribute and sub attribute in AHP method. The case study conducted in this issue is related to determining the target classes used to predict the success of a student learning in UIN Suska Riau. The three main attributes are Procrastination, Total Credits (SKS) and Number of Repeated Courses, each having eigenvalues of 0.319; 0.189 and 0.171 which become the feedback in the determination of the Target Timely Graduation (TG) or Possibility of Timely Graduation (PTG). The biggest consistency ratio generated in the AHP case is 9.4% in the GPA attribute. This research recommends that further research should use datasets that have been arranged based on experimental combinations of the three main attributes above, then applied to the classification or prediction algorithm. So that it would obtain a decision of accuracy from data used against the real result on the field.
Smart Walking Stick for the Visually Challenged
Authors: Ahsan Mohammed , Drolia Rishav , Kumar S Ananda
Published: January 2019

Internet of things mixed with Radio Frequency identification generation permit a whole new context for whole new devices that are capable of combining their bodily and virtual existences. Radio Frequency identification, placing an identification label into every object, allows a clever device to get information, both actual-time or digital-connected statistics, without any physical touch. Information retrieved from such an object, turns it right into a capacity smart object, clearly able to car pick out itself and, if protection problems are certainly handled, maximum in all likelihood capable to connect to the worldwide net. This way, one can get a ubiquitous framework to get admission to, display and manipulate any of these smart items over a web of linked things. RFID tags in scientific context enable a fast and specific identification of each clever entity, permitting a ubiquitous and brief get admission to personal fitness data over an internet of factors [1-2]. People have been struggling with sicknesses weird. Visually challenged human beings are blind people who are very common and difficult to cope with of their way. The principle aim of this project is to aid the visually challenged human beings with a better navigation device. This clever strolling stick is greater state-of-the-art device with many embedded features.
Event-Concept Pair Series Extraction to Represent Medical Complications from Texts
Authors: Pechsiri Chaveevan , Phainoun Sumran
Published: January 2019

This research aims to determine an event-concept pair series as consequent events, particularly a Cause-Effect-concept pair (called ‘CEpair’) series on disease documents downloaded from hospital-web-boards. CEpair series are used for representing medical/disease complications which benefit for Solving system. Each causative/effect event concept is expressed by a verb phrase of an elementary discourse unit (EDU) which is a simple sentence. The research has three problems; how to determine each adjacent-EDU pair having the cause-effect relation, how to determine a CEpair series mingled with non-causeeffect-relation EDUs, and how to identify the complication of several extracted CEpair series from the documents. Therefore, we extract NWordCo-concept set having the causative/effect concepts from EDUs’ verb phrases including a support vector machine to solve each NWordCo size. We apply the Naïve Bayes classifier to learn and extract an NWordCoconcept pair set as a knowledge template having the cause-effect relation from the documents. We then propose using the knowledge template to extract several CEpair series. We also apply the intersection of the NWordCo-concept sets to identify the commoncause/effect for representing the complication-development parts of the extracted-CEpair series. The research results provide the high percent correctness of the CEpair-series determination from the documents.
Metrics and Benchmarks for Empirical and Comprehension Focused Visualization Research in the Sales Domain
Authors: Yew Jie Loo , Wong Doris Hooi-Ten , Mat Zain Zarina , Amir Sjarif Nilam Nur , Ibrahim Roslina , Maarop Nurazean
Published: January 2019

Data visualization is an effort which aims to communicate data effectively and clearly to the audience through graphical
representation. Data visualization efforts must be coordinated with an understanding into the Cognitive Learning Theory (CLT). In the sales domain, sales data visualization are made possible with the available Business Intelligence (BI) tools such as Microsoft Power BI, Tableau, Plotly, and others. These tools allow seamless interaction for the top management as well as the sales force with regard to the data. Sales data visualization comes with an array of advantages such as self-service analysis by business users, rapidly adapt to changing business conditions, and enable continuous on-demand reporting among others. The advantages of sales data visualization also comes with the challenges such as difficulty in identifying visual noise, high rate of image change, and high performance requirements. In an effort to reduce cognitive activity that does not enhance learning, sales visualization dashboard must be designed in a way that is neither
too simplistic nor too complex to ensure that the Intrinsic Cognitive Load (ICL), Extrinsic Cognitive Load (ECL), and Germane Cognitive Load (GCL) are in sync with the audience. With the combination of sales data visualization and CLT, understanding complex sales details quickly is made possible by not only the top management of the organization, but also the sales force of the organization.
A Conceptual Framework for Gamified Learning Management System for LINUS Students
Authors: Shamsuddin Syadiah Nor Wan , Selman Muhammad Faisal , Ismail Ismahafezi , Amin Maizan Mat , Rawi Norkhairani Abdul
Published: January 2019

Gamification is a term that refers to the use of game elements in non-game contexts. Gamification in education is emerging as an effective tool to motivate and engage learners in a variety of tasks. LINUS program is intended to ensure that all students from standard one are able to master the basics of reading, writing and counting at the end of standard three. Gamification will help as a learning tool to assist with the learning process for those who have difficulty in learning, unlike normal students. Therefore, the aim of this paper is to propose a framework of Gamified Learning Management System for Linus students. This framework consists of mechanisms of gamification elements, multimedia elements and learning theory that construct gamified learning management system.
Five-Level Single Source Voltage Converter Controlled Using Selective Harmonic Elimination
Authors: Shanono Ibrahim Haruna , Abdullah Nor Rul Hasma , Muhammad Aisha
Published: January 2019

The paper presents a 5-level cascaded H-bridge voltage source inverter. The converter topology composed of two-cascaded H-bridge modules connected in parallel and powered by a single DC source. The benefit of this topology in comparison with the conventional H-Bridge configuration is that it uses single input DC source instead of two to achieve the same output steps/levels. Selective Harmonic Elimination (SHE) is the modulation technique employed. The generated non-linear transcendental equations are solved using an optimised Genetic algorithms to find the switching angles. This property makes the topology and the control function suitable for three phase applications where triplen harmonics are said to cancel out at the line-to-line voltages. This concept of SHE modulation extends the value of the filter cut-off frequency, which translates to smaller sized filter, compact cooling system and reduced system weight. This advantage makes the topology attractive to automotive and renewable energy applications. The topology was simulated using PSIM software.
A SoC-IP Core Test Data Compression Scheme based on Error Correcting Hamming Codes
Authors: Mitra Sanjoy , Das Debaprasad
Published: January 2019

As system-on-chip (SoC) integration is growing very rapidly, increased circuit densities in SoC have lead a radical increase in test data volume and reduction of this large test data volume is one of the biggest challenges in the testing industry. This paper presents an efficient test independent compression scheme primarily based on the error correcting Hamming codes. The scheme operates on the pre-computed test data without the need of structural information of the circuit under test and thus it is applicable for IP cores in SoC. Test vectors are equally sliced into the size of ‘n’ bits. Individual slices are treated as a Hamming codeword consisting of ‘p’ parity bits and ‘d’ data bits (n = d + p) and validity of each codeword is verified. If a valid slice is encountered’ data bits prefixed by ‘1’ are written to the compressed file, while for a non-valid slice all ‘n’ bits preceded by ‘0’ are written to the compressed file. Finally, we apply Huffman coding and RLE in order to improve the compression ratio further The efficiency of the proposed hybrid scheme is verified with the experimental outcomes and comparisons to existing compression methods suitable for testing of IP cores.
A Comprehensive Review on Applications of Don’t Care Bit Filling Techniques for Test Power Reduction in Digital VLSI Systems
Authors: Mitra Sanjoy , Das Debaprasad
Published: January 2019

Massive power consumption during VLSI testing is a serious threat to reliability concerns of ubiquitous silicon industry. A significant amount of low-power methodologies are proposed in the relevant literature to address this issue of test mode power consumption and don’t care bit(X) filling approaches are one of them in this fraternity. These don’t care(X) bit filling techniques have drawn the significant attention of industry and academia for its higher compatibility with existing design flow as neither modification of the CUT is required nor they need to rerun the time-consuming ATPG process. This paper presents an empirical survey of those X-bit filling techniques, applied to mitigate prime two types of dynamic power dissipation namely shift power and capture power, occurred during full scan testing.
Light Control and Watering System in Greenhouse for The Cultivation of Chrysanthemum Sp
Authors: Faroqi Adam , Ramdhani Muhammad Ali , Amrillah Muhammad Fahmi , Kamelia Lia , Nuraeni Eneng
Published: January 2019

Chrysanthemum (Chrysanthemum Sp) is sensitive to temperature and humidity. The greenhouse is an appropriate planting medium since temperature and humidity can be engineered there. This article presents the design of systems using DHT-22 and SEN0057 sensors. Real Time Clock (RTC) is used for providing timing input and functions as an extra light intensity timer. Arduino Mega 2560 is used as a microcontroller functioning to receive the results of sensor measurement and to give output instructions to condition the temperature and humidity. The testing on chrysanthemum Sp placed inside the greenhouse equipped with the system for 7 days shows an increase of height of 3.7 cm. As for chrysanthemum Sp placed outside the greenhouse equipped with the system for 7 days, there is an increase of height of 0, 2 cm. These greenhouse light control and Watering systems can engineer the temperature and humidity in accordance with the needs of chrysanthemum Sp cultivation in the greenhouse. 
Classification of Prostate Cancer using Wavelet Neural Network
Authors: Abdulwahed Mohanad Najm
Published: January 2019

Prostate cancer is the century disease that endanger the life of men. The earlier to diagnose the disease, the probability of curing this disease is higher. Therefore, new approaches of diagnosis is required to effectively detect the prostate cancer in early stage compared to the traditional methods. Therefore, WNN is a new adopted approach in prostate cancer diagnosis. Morlet function is used as an activation function of wavelet neural network (WNN) and back propagation (BP) is applied to train the Wavelet network. WNN classifies prostate cancer according to three factors: patient age, PSA level, and prostate volume. WNN performance is evaluated based on the percentage of classification and the computational complexity of several cases. The results of the simulation show that WNN has lower mean squared error (MSE) than the Neural Network (NN).
Efficient H.264 Decoder Architecture using External Memory and Pipelining
Authors: Poornima G.R. , Prasanna Kumar S C
Published: January 2019

A H.264 standard is one of the most popular coding standard with significant improvement in video broadcasting and streaming application. However it’s significant in compression but needs huge calculation and complex algorithm for providing better image quality and compression rate. In H.264 coding technique, designing of decoder is a key factor for efficient coding. In this paper we are designing a decoder using a complex input. We ensured several improvement like looping arrangement, buffer upgradation, buffer supplement, memory reusability and pipelining architecture. We have modified the memory structure also. Our designed decoder achieves a better frame decoding efficiency against state-of-art methods. The proposed approach also provides good area optimization with a maximum frequency of 355 MHz.
Integration of synthetic minority oversampling technique for imbalanced class
Authors: Santoso Noviyanti , Wibowo Wahyu , Hikmawati Hilda
Published: January 2019

In the data mining, a class imbalance is a problematic issue to look for the solutions. It probably because machine learning is constructed by using algorithms with assuming the number of instances in each balanced class, so when using a class imbalance, it is possible that the prediction results are not appropriate. They are solutions offered to solve class imbalance issues, including oversampling, undersampling, and synthetic minority oversampling technique (SMOTE). Both oversampling and undersampling have its disadvantages, so SMOTE is an alternative to overcome it. By integrating SMOTE in the data mining classification method such as Naive Bayes, Support Vector Machine (SVM), and Random Forest (RF) is expected to improve the performance of accuracy. In this research, it was found that the data of SMOTE gave better accuracy than the original data. In addition to the three classification methods used, RF gives the highest average AUC, F-measure, and G-means score.
Speed and direction of an obstacle using virtual window
Authors: Mansor Mohd Asri
Published: January 2019

A virtual window is used to determine the direction and speed of a uniformly moving obstacle. Two intersections with the virtual window at different location are used to calculate the relative path and speed of the obstacle. Two simulations were performed using Excel 2010. The first simulation simulates a practical running of a uniformly moving obstacle, while the second has the obstacle moving at a very high speed. The result shows that the system was able to determine the relative speed and path of the uniformly moving obstacle accurately.
The patterns of accessing learning management system among students
Authors: Abdullahi Akibu Mahmoud , Makhtar Mokhairi , Safie Suhailan
Published: January 2019

Learning Management System (LMS) is an online software that was hosted on a server and designed specifically to manage learners’ information, course registration, learning content, and assessment tool. Educational data mining is a way of evaluating and using methods for examining the unique and large dataset that come from educational field, and applying those in order to understand how students learn and the settings in which they learn. Many students use to miss some of the activities posted by their instructors, due to the short deadline, and they are not accessing the LMS regularly or every day. The purpose of this paper is to explore the way on how student access LMS and which day is the most frequent accessed. The findings show that, the total number of accessing LMS among 33 students is 16060, and the mean is 486.67, S16 recorded the highest number of accessing the LMS (965 access), while S24 as the least number of access (275). And the correlation between Tuesdays is significant, positive and strong correlation with Wednesdays (0.546), and positive, but weak with Thursdays (0.292), Fridays (0.244), Saturdays (0.334), and Sundays (0.291).
Leaders and followers algorithm for constrained non-linear optimization
Authors: Angmalisang Helen Yuliana , Anam Syaiful , Abusini Sobri
Published: January 2019

Leaders and Followers algorithm was a novel metaheuristics proposed by Yasser Gonzalez-Fernandez and Stephen Chen. In solving unconstrained optimization, it performed better exploration than other well-known metaheuristics, e.g. Genetic Algorithm, Particle Swarm Optimization and Differential Evolution. Therefore, it performed well in multi-modal problems. In this paper, Leaders and Followers was modified for constrained non-linear optimization. Several well-known benchmark problems for constrained optimization were used to evaluate the proposed algorithm. The result of the evaluation showed that the proposed algorithm consistently and successfully found the optimal solution of low dimensional constrained optimization problems and high dimensional optimization with high number of linear inequality constraint only. Moreover, the proposed algorithm had difficulty in solving high dimensional optimization problem with non-linear constraints and any problem which has more than one equality constraint. In the comparison with other metaheuristics, Leaders and Followers had better performance in overall benchmark problems.
Gazing as actual parameter for drowsiness assessment in driving simulators
Authors: Rumagit Arthur Mourits , Akbar Izzat Aulia , Utsunomiya Mitaku , Morie Takamasa , Igasaki Tomohiko
Published: January 2019

Many traffic accidents are due to drowsy driving. However, to date, only a few studies have been conducted on the gazing properties related to drowsiness. This study was conducted with the objective of estimating the relationship between gazing properties and drowsiness in three facial expression evaluation (FEE) categories: alert (FEE = 0), lightly drowsy (FEE = 1−2), heavily drowsy (FEE = 3−4). Drowsiness was investigated based on these eye-gazing properties by analyzing the gazing signal utilizing an eye gaze tracker and FEE in a driving simulator environment. The results obtained indicate that gazing properties have significant differences among the three drowsiness conditions, with p < 0.001 in a Kruskal–Wallis test. Furthermore, the overall classification accuracy of the three drowsiness conditions based on gazing properties using a support vector machine was 76.3%. This indicates that our proposed gazing properties can be used to quantitatively assess drowsiness.
The condition monitoring of diesel engines using acoustic signal analysis
Authors: Prasetyo Widi , Alaydrus Mudrik
Published: January 2019

Engine have become one of the supportive asset for many activity and work, therefore engine need attention for its condition. The easiest way to do is through the acoustic sound of the engine itself. Most of the time, the engine sounds are checked using a traditional way that may causing a debate regarding its condition. This is due to no supportive scientific basis to know about engine condition using their own acoustic sound. A value from its frequency pattern is needed as scientific basis to determine an engine condition using acoustic sound. Method of envelope extraction by hilbert transform, fast fourier transform, and correlation coefficient are used to find that value. A series of tests have been carried out on the values that have been found and the result are promising for telling engine condition, but unfortunately the values has not been able to identify type of damage that occur on the engine.
Key frame extraction using hybrid algorithm of dynamic sign language
Authors: Aldelfy Hussein Ali , Al-Mufraji Mahmood Hamza , Saeed Thamir R.
Published: January 2019

Video summarization used in many applications such as video object recognition and classification. Different methods used for this purpose: key frame extraction using edge detection and key frame extraction using discrete wavelet transform (DWT). In video processing, numerous frames containing similar information, this leads to time consumption and slow processing speed and complexity. New method Hybrid DWT-Edge Key Frame Detection (HDEKFD) of dynamic sign language presented in this paper. This method combined two algorithms edge detection and DWT to increase processing speed by reduce the numbers of redundant frames. Simulation results illustrate the efficient of the proposed algorithm compare to other methods. 
Extracting acoustic shadowing from ultrasound image using local difference
Authors: Park Hyun Jun , Kim Kwang Baek
Published: January 2019

We propose a method for extracting acoustic shadowing from ultrasound image. If we locate the acoustic shadowing exactly then we can also extract the hyperechoic substances with a high probability. The proposed method reconstitutes an original ultrasound image to simplify calculations and uses the locally horizontal difference to extract shadow candidates. The shadow candidates are classified into start and finish point, and shadow regions are extracted by using them. The experiment results show the proposed method extracts 23 of 27 acoustic shadows from ultrasonogram efficiently and it can be used in wide applications.
Establishment of emotional database and extraction of color psychology of children from images
Authors: Shin Seunh-Yoon
Published: January 2019

In the modern society, there is a rapid increase in the need for color psychotherapy for psychological stability and environmental adaption of children for whom the interests of the parents are lacking in the midst of their busy daily schedules. Accordingly, we need to assess the emotional state of children through their drawings, etc. In this thesis, identification is made on color harmony by utilizing information of single and mixed colors in the color image space. Moreover, system for extraction of color psychology from the drawings of children is developed. First, emotional database is established on the basis of color image space. Then, enormous color values are group by clustering the images through the use of K-Means clustering. Emotions are extracted through matching with the database and child’s color psychology is examined by using color distribution chart. Empirical researches on sensibilities that are currently in progress are being pursued largely from psychological and engineering perspectives. Sensibility being understood in the area of psychology can be deemed close to being emotions. Meanwhile, sensibility understood from the engineering perspective can be defined as highly advanced psychological experiences induced in the minds of human beings from perception or cognition by external physical stimulation. This thesis demonstrated the overall excellence through experiment.
A new look at energy harvesting half-duplex DF power splitting protocol relay network over rician channel in case of maximizing capacity
Authors: Tin Phu Tran , Tran Minh , Nguyen Tan N. , Nguyen Thanh-Long
Published: January 2019

In this paper, the system performance in term of the ergodic capacity of a half-duplex decode-and-forward relaying network over Rician Fading Channel is investigated. The power splitting protocol is proposed for the system model. For this purpose, the analytical mathematical expressions of the ergodic capacity in cases of maximize and no-maximize ergodic capacity are derived and discussed. Furthermore, the effect of various system parameters on the system performance is rigorously studied. Finally, the analytical results are also demonstrated by Monte-Carlo simulation in comparison with the analytical expressions. The research results show that the analytical mathematical and simulated results match for all possible parameter values for both schemes. 
A novel configuration of THz photonic transmitter
Authors: Moumane Ibtissame , Zbitou Jamal , Latrach M. , Errkik A. , Chakkor O.
Published: January 2019

In this paper we present a new design of a photonic transmitter based on multi-layers substrate GaAs and using for generation of THz waves. The proposed circuit is composed from a photodetector (PD) “which converts the light to the electrical signal”, THz Antenna, low-pass filter and DC probe. Firstly we have optimized the THz antenna using an EM solver which is Momentum integrated in ADS “Advanced Design System”.Then we have optimized the low pass filter which plays the role of inductance that is an RF choke permiting to separate the RF signal from the DC one. Finally, we have associated the different components, add the DC probe and simulate the whole proposed system. The dimensions of the final circuit are 400.317x167.16 UM2 . The obtain results permit to validate the final circuit at THz and make it suitable for THz applications.
An LED-based visible light communication system for multicast
Authors: Lee Jong-Sung , Lee Dae-Hee , Kim Sung-Jin , Oh Chang-Heon
Published: January 2019

Visible Light Communication is a communication method that transmits data through light by pulsing an LED at high speed, performing broadcast communication for all devices existing in its coverage. Broadcast-based Visible Light Communication is limited to application to Internet of Things services, where various applications exist, although all receivers can communicate within the range of light sources. Therefore, this paper proposes an LED based Visible Light Communication system for multicast. The proposed system performs individual multicast by participating in communication only with receivers configured to use a specified ID value input at the transmitting side during data transmission. Experimental results show that the receiver can receive files individually according to a specified ID value.
Improving steering convergence in autonomous vehicle steering control
Authors: Mohamad Amir Ashraf , Kamaru Zaman Fadhlan Hafizhelmi , Ruslan Fazlina Ahmat
Published: January 2019

Steering control is a critical design element in autonomous vehicle development since it will determine whether the vehicle can navigate safely or not. For the prototype of UiTM Autonomous Vehicle 0 (UiTM AV0), Vexta motor is used to control the steering whereas Pulse Width Modulation (PWM) signal is responsible to drive the motor. However, by using PWM signal it is difficult to converge to the desired steering angle and furthermore time taken for steering angle to converge is much longer. Thus, Proportional Integral Derivative (PID) has been introduced in this autonomous vehicle steering controller to improve the convergence of the steering. Meanwhile a microcontroller was used to control the Vexta Motor direction and perform the calculation of the desired steering angle. Simulation results showed PID controller showed better time taken and preicison of successful convergence of the desired steering angle compared to the PWM controller.  Analysis results showed that PID controller significantly reduce the overshooting of steering angle and significantly improve the time taken for convergence by up to 37 seconds faster than PWM controller in UiTM AV0.
A smart monitoring and controlling for agricultural pumps using LoRa IOT technology
Authors: Ali Aktham Hasan , Chisab Raad Farhood , Mnati Mohannad Jabbar
Published: January 2019

Controlling electrical pumps on farms can be problematic, especially if there are a small number of people managing or working on huge areas of land and if the provision of electricity is not consistent. Therefore, further techniques for the management of plant irrigation on this type of land are being invented to make the process of irrigation easier. In this paper, a new intelligent device is designed and utilized to control the operation of irrigation pumps using a robust method of communication to transfer information at long distances, for the lowest cost, and the longest battery life. This technology is called LoRa (Long Range) communication, which is a low-power technology. The unit consists of two circuits: the first one is for switching the pumps ON and OFF, while the second one controls and monitoring the work of the pumps. Monitoring of the pumps can also be carried out through smart phones by measuring the voltage. The most important features of this new design are its intelligent control for long distances, cheap price, and a long operational life of more than five years. The goal of this paper is to help farmers by designing and manufacturing a remote-control system that switches irrigation pumps on and off using LoRa technologies.
A statistical jacobian application for power system optimization of voltage stability
Authors: Larik Raja Masood , Mustafa Mohd. Wazir , Panjwani Manoj Kumar
Published: January 2019

Despite a tremendous development in optimal power flow (OPF), owing to the obvious complexity, non-linearity and unwieldy size of the large interconnected power systems, several problems remain unanswered in the existing methods of OPF. Seizing specific topics for maximizing voltage stability margin and its implementation, a detailed literature survey discussing the existing methods of solution and their drawbacks is presented in this research. The phenomenon of voltage collapse in power systems, methods to investigate voltage collapse, and methods related to voltage stability are briefly surveyed. Finally, the study presents a statistical method for analyzing a power system through eigenvalue analysis in relation to the singular values of the load flow Jacobian. Future study may focus on changes in theories in conjunction with large power systems.
Modelling decision support system for selection maahad tafiz center using analytical hierarchal analysis
Authors: Mama Abd R Mama , Mohamed Mohamad A , Azhar Amirul F , Saany Syarilla I A , Rawi Norkhairani A , Amin Maizan M , Kadir Mohd F A , Nor M A M
Published: January 2019

Today, the interest of the community to send their children to religious-based schools that is Maahad Tahfiz Center (MTC)) whether managed by Government (State or Federal), private individuals, nonprofit organization (NGO) or certain organizations is very high. The demand that exceeds this offer has seen the growth of MTC rapidly. This situation provides many choices and advantages to parents. However, there is anxiety among parents to choose the MTC that fulfills the features that they want.  Hence modeling decision support system (DSS) in a MTC selection has been modeled using Analytical Hierarchy Process (AHP) provides the effective way for parents to select appropriate MTC. AHP is an effective tool for dealing with the complex decision making and aid the parents to set priorities and provide the best decision in selection MTC. Hopefully by using this model and future development of this model will help the parents make the best choices of MTC based on their preferences. 
Oscillating wave energy power generator for lift net fishing boat
Authors: Sule Luther , Rompas Parabelem Tinno Dolf
Published: January 2019

This paper compares several designs of an oscillating wave power generator suitable for local net fishing boat in the waters of Tonyaman in the Strait of Makassar, Indonesia.  The designs were based on wave height data for the period of January to December 2016 and of the local fishing vessel construction data. Several generator designs were created to replace diesel engines used by the local fishermen to power their boats’ lamps in the night. Results showed that DESIGN 5 with Arm length to buoy (L1) of 4 m and Arm length to pulley (L2) of 3 m and DESIGN 6 with  L1 of 4 m and L2 of 2 m were the two designs most fitting for that purpose. Both designs could produce sufficient power ( ) to power the boats’ lamps in the shortest wave height condition (0.75 m) and the tallest wave height condition (1.5 m). At the shortest wave height condition (0.75 m), DESIGN 5 produced 14,237.58 W and DESIGN 6 produced 14,290.31 W. At the tallest wave height condition (1.5 m), DESIGN 5 and DESIGN 6 generated 28,285.31 W and 28,496.25 W of power, respectively.
Classification enhancement of breast cancer histopathological image using penalized logistic regression
Authors: Kahya Mohammed Abdulrazaq
Published: January 2019

Classification of breast cancer histopathological images plays a significant role in computer-aided diagnosis system. Features matrix was extracted in order to classify those images and they may contain outlier values adversely that affect the classification performance. Smoothing of features matrix has been proved to be an effective way to improve the classification result via eliminating of outlier values. In this paper, an adaptive penalized logistic regression is proposed, with the aim of smoothing features and provides high classification accuracy of histopathological images, by combining the penalized logistic regression with the smoothed features matrix. Experimental results based on a publicly recent breast cancer histopathological image datasets show that the proposed method significantly outperforms penalized logistic regression in terms of classification accuracy and area under the curve. Thus, the proposed method can be useful for histopathological images classification and other classification of diseases types using DNA gene expression data in the real clinical practice.
Flexibility of Indonesian text pre-processing library
Authors: Maylawati Dian Sa'adillah , Aulawi Hilmi , Ramdhani Muhammad Ali
Published: January 2019

This study aimed to achieve and measure flexibility as a software quality factor of text pre-processing libraries with Indonesian text from social media. Library was built based on a review of some text mining applications that did not yet have a special pre-process for Indonesian text. Text pre-processing libraries were designed and built using an object-oriented approach that was modular to achieve flexibility. Flexibility was measured by the Mc Call Cyclomatic Complexity (CC) metric. Flexibility of library was tested by implementing the library into text mining applications. The results of experiment showed that text pre-processing libraries could be flexible and easy to use without much configuration in text mining applications. It was proved by the value of CC of 2.51 which meant the library or software was not too complex, simple enough, and also flexible to use.
The usability analysis of using augmented reality for linus students
Authors: Awang Kamariah , Shamsuddin Syadiah Nor Wan , Ismail Ismahafezi , Rawi Norkhairani Abdul , Amin Maizan Mat
Published: January 2019

Mobile technology with Augmented Reality has become popular worldwide with a broad range of users, including students from all levels of education and the impact of mobile technology in classrooms has been extensively studied. This technology can be the source of motivation for LINUS students especially students with disabilities. The word usability also refers to the methods to improve the ease of use during a design process. Among the difficulties in teaching a LINUS student is the lack of visual media for understanding the subject especially in basic mathematics such as evaluating a number and calculating the number. The objective of the study was to evaluate the usability of using Augmented Reality in a mobile application among LINUS students in primary schools. This study used survey data gathered from 32 LINUS students of 3 different primary schools in Marang and Kuala Terengganu Districts. The questionnaire collected data on five construct of usability test to the LINUS students. The students used the mobile application while being guide by their teacher. They navigated all the buttons provided and answered the quiz too. The criteria of usability test consist of five constructs. The students showed a significant interest in learning numbers by actively participating in the LINUS sessions. The usability level was measured based on the five constructs. In summary, the augmented reality mobile application has a great potential to be used in teaching and learning, as in the Malaysia Education Development Plan 2013-2025 especially on the LINUS students.
Application of virtual windows to determine the path of a uniformly moving obstacle
Authors: Kamaluddin Mohd. Uzir , Mansor Hj. M.A. Hj.
Published: January 2019

Two virtual windows are used to determine the path of a single uniformly moving obstacle. If the path of the obstacle crosses the two virtual windows, then its path can be easily determined. A simulation is implemented to ascertain the viability and accuracy of this technique. 
Implementation of an ARM-based system using a Xilinx ZYNQ SoC
Authors: Baans Omar Salem , Jambek Asral Bahari
Published: January 2019

ARM processors are widely used in embedded systems. They are often implemented as microcontrollers, field-programmable gate arrays (FPGAs) or systems-on-chip. In this paper, a variety of ARM processor platform implementations are reviewed, such as implementation into a microcontroller, a system-on-chip and a hybrid ARM-FPGA platform. Furthermore, the implementation of a specific ARM processor, the Cortex-A9 processor, into a system-on-chip (SoC) on an FPGA is discussed using Xilinx’s Vivado and SDK software system and execution on a Xilinx Zynq Board.