bluuebunny/crossref_metadata_2025 huggingface dataset:
Pattern Approximation Based Generalized Image Noise Reduction Using Adaptive Feedforward Neural Network
Authors: Bhat Nagaraj , Eranna U. , Singh Manoj Kumar
Published: January 2019

The problem of noise interference with the image always occurs irrespective of whatever precaution is taken. Challenging issues with noise reduction are diversity of characteristics involved with source of noise and in result; it is difficult to develop a universal solution. This paper has proposed neural network based generalize solution of noise reduction by mapping the problem as pattern approximation. Considering the statistical relationship among local region pixels in the noise free image as normal patterns, feedforward neural network is applied to acquire the knowledge available within such patterns. Adaptiveness is applied in the slope of transfer function to improve the learning process. Acquired normal patterns knowledge is utilized to reduce the level of different type of noise available within an image by recorrection of noisy patterns through pattern approximation. The proposed restoration method does not need any estimation of noise model characteristics available in the image not only that it can reduce the mixer of different types of noise efficiently. The proposed method has high processing speed along with simplicity in design. Restoration of gray scale image as well as color image has done, which has suffered from different types of noise like, Gaussian noise, salt &peper, speckle noise and mixer of it.
Optic Disc and Macula Localization from Retinal Optical Coherence Tomography and Fundus Image
Authors: Rodiah Rodiah , Madenda Sarifuddin , Susetianigtias Diana Tri , Rahayu Dewi Agushinta , Sutanty Ety
Published: January 2019

This research used images from Optical Coherence Tomography (OCT) examination as well as fundus images to localize the optical disc and macular layer of retina. The researchers utilized the OCT and fundus image to interpret the distance between macular center and optic disc in the image. The distance will express the area of macula that can be employed for further research. This distance could recognize the thickness of macula parameters diameter that will be used in localizing process of optic disc and macula. The parameters are the circle radius, the size of window’s filter, the constant value and the size of optic disc element structure as well as the size of macula. The results of this study are expected to improve the accuracy of macula detection that experience the edema.
Effects of Relationship Quality on Citizen Intention Use of E-government Services: An Empirical Study of E-government System
Authors: Berlilana Berlilana , Hariguna Taqwa , Lai Min Tsai
Published: January 2019

This study aims to explain the concept of relationship quality on citizen intention use of e-Government service. We have built 5 hypotheses. The result of 5 hypotheses is positive and significant impact. In building citizen relationship, we build two antecedent they are perceived e-Government usability and perceived e-Government credibility. The method we use in this research is empirical, with 366 valid respondents.
Analysis of Mobile Service Providers Performance Using Naive Bayes Data Mining Technique
Authors: Burhanuddin M. A. , Ismail Ronizam , Izzaimah Nurul , Mohammed Ali Abdul-Jabbar , Zainol Norzaimah
Published: January 2019

Recently, the mobile service providers have been growing rapidly in Malaysia. In this paper, we propose analytical method to find best telecommunication provider by visualizing their performance among telecommunication service providers in Malaysia, i.e. TM Berhad, Celcom, Maxis, U-Mobile, etc. This paperuses data mining technique to evaluate the performanceof telecommunication service providers using their customers feedback from Twitter Inc. It demonstrates on how the system could process and then interpret the big data into a simple graph or visualization format. In addition, build a computerized tool and recommend data analytic model based on the collected result. From prepping the data for pre-processing until conducting analysis, this project is focusing on the process of data science itself where Cross Industry Standard Process for Data Mining (CRISP-DM) methodology will be used as a reference. The analysis was developed by using R language and R Studio packages. From the result, it shows that Telco 4 is the best as it received highest positive scores from the tweet data. In contrast, Telco 3 should improve their performance as having less positive feedback from their customers via tweet data. This project bring insights of how the telecommunication industries can analyze tweet data from their customers. Malaysia telecommunication industry will get the benefit by improving their customer satisfaction and business growth. Besides, it will give the awareness to the telecommunication user of updated review from other users.
Employee Performance Measurement in Teleworking Using Balanced Scorecard
Authors: Arso Sunu Sugi , Sfenrianto Sfenrianto , Wahyudi Mochamad
Published: January 2019

Key Performance Indicator (KPI) must be aligned with the development of the organization. PT. Mitra Intregrasi Informatika (MII) in its development decided to change the traditional way of work to modern telework. This encourages companies to adjust employee’s KPI from the traditional way of work turns in to telework. In order to perform KPI measurement of its employees based on teleworking, this research uses balanced scorecard method approach that is by taking into account financial, customer, and internal business process and learning and growth perspective. The results of this study are the design proposal KPI employees to accommodate telework at the company. Then KPI employee test results showed an increase in the average value of the employee KPI of 0.295 points (9.47%) of the old KPI. Thus, it is recommended to the company to implement the employee KPI.
Identifying Thresholds for Distance Design-based Direct Class Cohesion (D3C2) Metrics
Authors: Sagita Denny , Pradana Fajar , Priyambadha Bayu
Published: January 2019

In the several phases of activity in developing a software system, there is design phase. This phase has a purpose to determine and ensure that a software requirement can be realized in accordance with customer needs. The quality of design must be a guarantee at this phase. One of an indicator of quality design is cohesion. Cohesion is the level of relatedness between elements in one component. A Higher value of cohesion can indicate that a component are more modular, has own resources, and less dependent on another component. More independent, components are easy to maintenance. There are many metrics to count how many values of cohesion in a component. One of metric is The Distance Design-Based Direct Class Cohesion (D3C2). But, many practitioners are unable to apply them. Because there is no threshold that can categories the value of cohesion. This study aims to determine the threshold of cohesion metric based on the class diagram. The result showed that the threshold of D3C2 metric is 0.41. 0.41 is the value that has the highest level of agreement with the design expert.
Design of a Monitoring-combined Siting Scheme for Electric Vehicle Chargers
Authors: Lee Junghoon , Park Gyung-Leen
Published: January 2019

This paper designs a siting scheme for public electric vehicle chargers based on a genetic algorithm working on charger monitoring streams. The monitoring-combined allocation scheme runs on a long-term basis, iterating the process of collecting data, analyzing demand, and selecting candidates. The analysis of spatio-temporal archives, acquired from the fast chargers currently in operation, focuses on the per-charger hot hour and proximity effect to justify demand balancing in geographic cluster level. It leads to the definition of a fitness function representing the standard deviation of per-charger load and cluster-by-cluster distribution. In a chromosome, each binary integer is associated with a candidate and its static fields include the index to the cluster to which it is belonging. The performance result obtained from a prototype implementation reveals that the proposed scheme can stably distribute the charging load with an addition of a new charger, achieving the reduction of standard deviation from 8.7 % to 4.7 % in the real-world scenario.
Improving Hierarchical Decision Approach for Single Image Classification of Pap Smear
Authors: Riana Dwiza , Ramdhani Yudi , Prasetio Rizki Tri , Hidayanto Achmad Nizar
Published: January 2019

The single image classification of Pap smears is an important part of the early detection of cervical cancer through Pap smear tests. Unfortunately, most classification processes still require accuracy enhancement, especially to complete the classification in seven classes and to get a qualified classification process. In addition, attempts to improve the single image classification of Pap smears were performed to be able to distinguish normal and abnormal cells. This study proposes a better approach by providing different handling of the initial data preparation process in the form of the distribution for training data and testing data so that it resulted in a new model of Hierarchial Decision Approach (HDA) which has the higher learning rate and momentum values in the proposed new model. This study evaluated 20 different features in hierarchical decision approach model based on Neural Network (NN) and genetic algorithm method for single image classification of Pap smear which resulted in classification experiment using value learning rate of 0.3 and momentum of 0.2 and value of learning rate of 0.5 and momentum of 0.5 by generating classification of 7 classes (Normal Intermediate, Normal Colummar, Mild (Light) Dyplasia, Moderate Dyplasia, Servere Dyplasia and Carcinoma In Situ) better. The accuracy value enhancemenet were also influenced by the application of Genetic Algorithm to feature selection. Thus, from the results of model testing, it can be concluded that the Hierarchical Decision Approach (HDA) method for Pap Smear image classification can be used as a reference for initial screening process to analyze Pap Smear image classification.
Secure Privacy Implications for Clients and End-users through Key Assortment Crypto Techniques Implicated Algorithm
Authors: D Ramesh , B Rama
Published: January 2019

The main role of key assortment crypto techniques will helpful to provide the security to the sensitive data and play the key role for business developments. Some of the problems are rising when the scheme will sustain the possession control to present the latest set of technical and business concerns. Some of the complex challenges are waiting for the optimistic solutions. The challenges are: In the planned storage confidentiality implicated outline, the stipulation of encryption framework for the data which is conserve the self tunning to execute major key constratints by concerining their files which is imposed plaintext belonging, the owners of the privacy-data preserve the seclusion power over their own information to formulate assured wide-ranging service operations and the owners of data are facing the complexity to organize their possess data which is accessible-mode in cloud servers, concerned inner services: topology architecture type of implicated data with their operations, associated secrecy-privacy-secrecy dynamic replicas for make use of the databased security within their range of format and secretarial services with their encrypted data execution control. To overcome theses in convinces this paper is proposing the technical ideals through the algorithmic methodology along the graphical flow based architecture. This paper is proposing the key assortment crypto techniques implicated algorithm for clients and end-users to reduce the above mention complex difficulties; it describes the primary encryption implicated techniques and various levels of cryptographic algorithms with their implications along with extensions of cloud implicated data security and digital forensics implicated appliances which is implicated with enhanced various hash functions.
Voltage Stability Prediction on Power Networks using Artificial Neural Networks
Authors: Saha Gitanjali , Chakraborty Kabir , Das Priyanath
Published: January 2019

 The objective of this paper is to predict the secure or the insecure state of the power system network using a hybrid technique which is a combination of Artificial Neural Network (ANN) and voltage stability indexes. Voltage collapse or an uncontrollable drop in voltage occurs in a system when there is a change in the condition of the system or a system is overloaded. A Transference Index (TI) which acts as a voltage stability indicator has been formulated from the equivalent two-bus network of a multi-bus power system network, which has been tested on a standard IEEE 30-bus system and the result is validated with a standard Fast Voltage Stability Index (FVSI). FACTS devices in the critical bus have been considered for the improvement of the voltage stability of the system. An ANN based supervised learning algorithm has been conferred in this paper alongside Contingency Analysis (CA) for the prediction of voltage security in an  IEEE 30 - bus power system network.

 
Sizing and Cost Analysis of Self-Consumed Solar PV DC System Compared with AC System for Residential House
Authors: Mansur T. M. N. T. , H. Baharudin N. , Ali R.
Published: January 2019

The use of solar photovoltaic (PV) system has grown significantly in Malaysia after Renewable Energy Act has been gazetted in 2011.The objective of this paper is to highlight the technical and economic analysis of solar PV DC system to generate enough energy for residential customer group that consumed 200 kWh per month so that they are less dependent on energy from the utility grid. The results are then compared to the solar PV AC system with similar load setup. The methodology involves gathering solar energy resource, configuring daily load demand, sizing PV array, battery bank and inverter and lastly simulation of the design system by using Homer software.  Based on Homer simulation, the solar PV AC system required slightly larger PV array sizes than the solar PV DC system to compensate losses due to the inverter efficiency which is not counted in DC system.Moreover, the solar PV AC system is almost 8.0% more expensive with 6% higher COE than the solar PV DC system due to the present of inverter.Lastly, both systems will benefit from reduction of energy consumed up to 2,434 kWh annually and to the environmental aspect, will avoid 1.7 tons of CO2 releases into the atmosphere.
Implementation of Dynamic Fuzzy Logic Control of Traffic Light with Accident Detection and Action System using iTraffic Simulation
Authors: Abdullah Alkandari Abdulrahman , Al-Shaikhli Imad Fakhri
Published: January 2019

Traffic is one of the most common issues in the big cities around the world. Thus, develop and improve the traffic light control systems became the focus of recent studies. To solve the problem, we proposed a dynamic hybrid fuzzy logic control system that is further branched into two separate systems: An Accident Detection system and an Action system that is intended to solve the congestion related to the vehicular traffic. The primary target of this paper is to discuss the Action system, which depends on the Accident Detection system. This paper explained the two parts of the Action system. It showed the improvement of the Action system with %9.32 in total car crossed. It also presented different scenarios using iTraffic simulation and description of each scenario is displayed with details about the road variables and the simulation results with and without the action system.
Low-Cost Vibration Chamber for Landslide Sensory and Alarm System
Authors: Binti Ismail Eliza Sabira , Habaebi Mohamed Hadi , Ibrahimy Muhammad , Islam Md Rafiqul
Published: January 2019

Many previous research works published in the open literature aimed at designing a system that could detect landslide in early stage before the landslide becomes catastrophic. This paper presents a work-in-progress landslide early warning system for Malaysian environment. The aim of this paper is to develop the most effecienctly reliable cost-effective system in which slight earth movements are monitored continuously. The challenge this work aims at is to work with a low budget system that produce efficient performance. Hence, the material used is of-the-shelf. Early design optimization result of the vibration sensor used is quite promising detecting the slightest faint tremors, which are amplified using the best vibration chamber available. It is shown that the choice of proper pipe length and diameter dimensions in combination to a gravel to exaggerate the produced higher sensitivity level of 5dB. Furthermore, both systematic and random vibration tests  produced similar results.
Performance Evaluation of Multichannel Audio Compression
Authors: Gunawan Teddy Surya , Kartiwi Mira
Published: January 2019

In recent years, multichannel audio systems are widely used in modern sound devices as it can provide more realistic and engaging experience to the listener. This paper focuses on the performance evaluation of three lossy, i.e. AAC, Ogg Vorbis, and Opus, and three lossless compression, i.e. FLAC, TrueAudio, and WavPack, for multichannel audio signals, including stereo, 5.1 and 7.1 channels. Experiments were conducted on the same three audio files but with different channel configurations. The performance of each encoder was evaluated based on its encoding time (averaged over 100 times), data reduction, and audio quality. Usually, there is always a trade-off between the three metrics. To simplify the evaluation, a new integrated performance metric was proposed that combines all the three performance metrics. Using the new measure, FLAC was found to be the best lossless compression, while Ogg Vorbis and Opus were found to be the best for lossy compression depends on the channel configuration. This result could be used in determining the proper audio format for multichannel audio systems.
On the Comparison of Line Spectral Frequencies and Mel-Frequency Cepstral Coefficients Using Feedforward Neural Network for Language Identification
Authors: Gunawan Teddy Surya , Kartiwi Mira
Published: January 2019

Of the many audio features available, this paper focuses on the comparison of two most popular features, i.e. line spectral frequencies (LSF) and Mel-Frequency Cepstral Coefficients. We trained a feedforward neural network with various hidden layers and number of hidden nodes to identify five different languages, i.e. Arabic, Chinese, English, Korean, and Malay. LSF, MFCC, and combination of both features were extracted as the feature vectors. Systematic experiments have been conducted to find the optimum parameters, i.e. sampling frequency, frame size, model order, and structure of neural network. The recognition rate per frame was converted to recognition rate per audio file using majority voting. On average, the recognition rate for LSF, MFCC, and combination of both features are 96%, 92%, and 96%, respectively. Therefore, LSF is the most suitable features to be utilized for language identification using feedforward neural network classifier.
Measuring the Road Traffic Intensity using Neural Network with Computer Vision
Authors: Hamdan Muhammad , Khalifah Othman Omran , Gunawan Teddy Surya
Published: January 2019

Traffic congestion plagues all driver around the world. To solve this problem computer vision can be used as a tool to develop alternative routes and eliminate traffic congestions. In the current generation with increasing number of cameras on the streets and lower cost for Internet of Things(IoT) this solution will have a greater impact on current systems. In this paper, the Macroscopic Urban Traffic model is used using computer vision as its source and traffic intensity monitoring system is implemented. The input of this program is extracted from a traffic surveillance camera and another program running a neural network classification which can classify and distinguish the vehicle type is on the road. The neural network toolbox is trained with positive and negative input to increase accuracy. The accuracy of the program is compared to other related works done and the trends of the traffic intensity from a road is also calculated.
Position Estimation Comparison of a 3-D Linear Lateration Algorithm with a Reference Selection Technique
Authors: Shehu Yaro Abdulmalik , Zuri Sha'ameri Ahmad , Kamel Nidal
Published: January 2019

Multilateration system estimates emitter position using time difference of arrival (TDOA) measurement with a lateration algorithm. The position estimation (PE) accuracy of the system depends on several factors such as the number of ground receiving station (GRS)s deployed, the reference station used and the type of lateration algorithm. In this paper, the 3-D PE accuracy of a four-GRS linear lateration algorithm combined with a GRS reference pair selection (GREPS) technique is determined and compared with two different five-GRS linear lateration algorithms. The two five-GRS linear lateration algorithms chosen for comparison are based on single reference total least square (SF-TLS) and multiple reference least square (MF-LS) approaches. Monte Carlo simulation result comparison shows that the four-GRS linear lateration algorithm with the GREPS technique outperformed the SF-TLS and MF-LS with a reduction in horizontal coordinate PE error of about 50% and 30% respectively, and with a 90% reduction in the altitude error
Availability Prediction Methods for Terrestrial Free-Space-Optical Link Under Tropical Climate
Authors: Basahel Ahmed , Islam Md Rafiqul , Habaebi Mohamed , Ahmad Suriza
Published: January 2019

Free-space optical (FSO) links provide high speed point-to-point wireless communication, but its availability can easily be affected by weather conditions. In heavy rainfall regions, FSO links are relatively sensitive to rain. Availability prediction of FSO is indispensable part, especially in tropical areas. In this paper, methods to predict FSO link availability are presented. The overall performance of FSO link is described in terms of the availability that can be achieved over anticipated link distance. The availability prediction methods demonstrated for an FSO link ranges up to 5 km. The availability prediction methods are based on long-term statistics of atmospheric attenuations and FSO link budget under tropical climate condition. In tropical regions, for a terrestrial FSO link, carrier class availability can be achieved over a few hundred meters only; whereas enterprise class availability can be achieved over a few kilometers link distances. 
AWGN and Rayleigh Fading Behavior of the Wireless Decode-and-Forward Relay Channel with Arbitrary Time and Power Allocation
Authors: Khairol Fauz Muhammad Zarol Fitri , Ahmed Elsheikh Elsheikh Mohamed
Published: January 2019

Relying has in use for decades to tackle some of the challenges of wireless communication such as extending transmitting distance, transmitting over rough terrains. Diversity achieved through relaying is also a means to combat the random behavior of fading channels. In this work, effect of time and power allocation on relay performance is studied. The channel considered is the three-node channel with half-duplex constraint on the relay. The relaying technique assumed is decode-and-forward. Mutual information is used as the criteria to measure channel performance. There is half-duplex constraint and a total transmission power constraint on the relay source node and the relay node. A model is established to analyze the mutual information as a function of time allocation and power allocation in the case of AWGN regime. The model is extended to the Rayleigh fading scenario. In both AWGN and Rayleigh fading, results showed that the importance of relaying is more apparent when more resources are allocated to the relay. It was also shown that quality of the source to destination link has direct impact on the decision to relay or not to relay. Relatively good source to destination channel makes relaying less useful. The opposite is true for the other two links, namely the source to relay channel and the relay to destination channel. When these two channels are good, relaying becomes advantageous. When applied to cellular systems, we concluded that relaying is more beneficial to battery-operated mobile nodes than to base stations.
Design and Fabrication of an Intelligent Walking Staff for Visually Impaired Subjects
Authors: Funke Olanrewaju Rashidah , Mohd Radzi Muhammad Luqman Azzaki , Rehab Mariam , Fajingbesi Fawwaz Eniola
Published: January 2019

The joy we derive from our ability to commute and interact freely with the world as a result of our possession of sight with the naked eyes are enormous however the Visually impaired people find great difficulty in moving around freely without a human guide, especially in a new terrain. This research reports the design and fabrication process of an intelligent walking staff (iWalk) specially designed for the visually disabled individuals to argument their loss of sight, improve and ease their navigation. iWalk was designed around water and ultrasonic sensors to detect obstacles and water ahead. iWalk also has a wireless RF remote control buzzer for localization and detection in case it gets misplaced. The proposed system operability and efficiency was adequately tested using physical dataset composed of randomized locations with random obstacles and water. The proposed algorithm achieves an overall efficiency of 90% detection rate for water and ultrasonic sensor and 85.75% for the RF wireless remote control.
Power Efficient Clock Distribuition for Switched Capacitor DC-DC Converters
Authors: R. Murthy A. S. , T. Sridhar
Published: January 2019

In various VLSI based digital systems, on-chip interconnects have become the system bottleneck in state-of-the-art chips, limiting the performance of high-speed clock distributions and data communication devices in terms of propagation delay and power consumption. Increasing power requirements and power distribution to multi-core architectures is also posing a challenge to power distribution networks in the integrated circuits. Clock distribution networks for the switched capacitor converters becomes a non-trivial task and the increased interconnect lengths cause clock degradation and power dissipation. Therefore, this paper introduce low swing signaling schemes to decrease delay and power consumption. A comparative study presented of low voltage signaling schemes in terms of delay, power consumption and power delay product. Here, we have presented a power efficient signaling topology for driving the clocks to higher interconnect lengths.
An Investigation of the Current Practice to Support Upper Limb Rehabilitation among Advanced Stroke Survivors
Authors: Hafizha Musthafa Nurul , Sulaiman Suziah
Published: January 2019

Stroke rehabilitation helps one to relearn skills lost when a stroke affected part of the brain. Stroke rehabilitation programmes involving technology-assisted physical activities have been employed to complement the conventional practices. The success of such a program lies primarily on how well the current practices are understood, and translated onto the activities planned. This is a challenge to system designers, dealing with the technology, who may have limited access to stroke patients. This paper addresses the issue by investigating the current rehabilitation practices conducted on stroke survivors. The methods involved interviewing the stroke rehabilitation practitioners, and observing how therapy sessions were conducted in a local rehabilitation centre. The study findings revealed that conventional rather than technology-supported methods are still the dominant approach used for stroke rehabilitation. Paper and pencil techniques are still in practice for re-learning how to write among advanced stroke survivors. Similarly, activities with the early and intermediate groups at the rehabilitation centre have not been supported by any computer technology yet. The feedback obtained from the practitioners could be used as a basis to design suitable technology-assisted programs especially for advanced stroke survivors in handwriting activities.
Ant Based Cross Layered Optimization Protocol for WMSN with Fuzzy Clustering
Authors: Adhyapak DipaliParag , Bhavani Sridharan , Pradeep Laturkar Aparna
Published: January 2019

Wireless Multimedia Sensor Network (WMSN) is embedded with large number of Audio, Video and scalar sensor nodes which can able to retrieve the multimedia information from the environment. WMSN has several challenges such as life time of the network, Memory requirement, Coverage, Bandwidth and QoS metrics. Hence selection of routing algorithm is crucial in WMSN. Again interdependencies of the protocol layer cannot be neglected to improve the network performance. Clustering in WMSN is challenging task in order to increase network lifetime and to improve the communication. Hence Fuzzy clustered Ant based cross layer protocol (FCAXL) is proposed. In this paper performance analysis of ant based cross layer optimization protocol with fuzzy clustering based on number of nodes and packet size is done. Simulation results shows that Fuzzy clustered ant based cross layer optimization protocol performs best as compared to AntSenseNet routing protocol, Cross layer routing protocol and Ant based cross layer routing protocol in terms of QoS parameters such as Throughput, Packet delivery ratio and delay. Hence the life time of the network increases.
Modified 128-EEA2 Algorithm by Using HISEC Lightweight Block Cipher Algorithm with Improving the Security and Cost Factors
Authors: Ghanim Sulaiman Alyaa , Mahmood AlDabbagh Sufyan Salim
Published: January 2019

128-EEA2 (Evolved Packet System Encryption Algorithm 2) is a confidentiality algorithm which is used to encrypt and decrypt block of data based on confidentiality key. This confidentiality algorithm 128-EEA2 is based on the AES-128 which is the block cipher algorithm of 128 bit in CTR mode. In this paper, we are going to replace the AES-128 block cipher algorithm by HISEC block cipher algorithm for two reasons such as reducing cost and ameliorate security factor.
Anomaly Detection in Log Records
Authors: Ghuli Poonam
Published: January 2019

Complex software systems are continuously generating application and server logs for the events which had occurred in the past. These logs generated and can be utilized for anomaly and intrusion detection. These log files can be used for anomaly or outlier detection. Certain types of abnormalities or exceptions such as spikes in HTTP requests, number of exceptions raised in logs, etc. All these events are logged into the log files for further analysis. These types of events are generally used for predicting the anomalies in future. The developed prototype assumes that the user inputs log records in a standard apache log format. At first the user uploads the log file for outlier detection. Next, a prototype is developed to get the number of HTTP requests for outlier detection. Then anomalies in number of HTTP requests are detected using three techniques namely InterQuartileRange method, Moving averages and Median Absolute deviation. Once the outliers are detected, these outliers are removed from the current dataset. This output is given as input to the Multilayer Perceptron model to predict the number of HTTP requests at the next timestamp

 
A Novel Architecture of Radix-3 Singlepath Delay Feedback (R3SDF) FFT Using MCSLA
Authors: K Periyarselvam , G Saravanakumar , M Anand
Published: January 2019

Fast Fourier transform (FFT) is widely used in digital signal processing and telecommunications, particularly in orthogonal frequency division multiplexing systems, to overcome the problems associated with orthogonal subcarriers. A new algorithm of radix-3 FFT has been introduced in this work. The DFT of length N can be realized from three DFT sequences; each of length N/3.Radix-3 algorithm reduces the number of multiplications required for realizing DFT.A novel design of Radix-3pipelined Single path Delay Feedback (R3SDF) FFT using MCSLA has been proposed in this paper. First, the pipelined radix-3 SDF FFT method has been designed. It has less area and large power consumption and delay. In order to overcome these problems, modified carry select adder structure is used to perform the adder operation for reducing the power consumption and delay. Finally, the MCSLA is integrated into radix-3 SDF FFT processor. The hardware complexity and execution time for implementing radix-3 FFT algorithm can be reduced than other FFTs.
Cyber Threat Intelligence – Issue and Challenges
Authors: Sahrom Abu Md , Rahayu Selamat Siti , Ariffin Aswami , Yusof Robiah
Published: January 2019

Today threat landscape evolving at the rapid rate with many organization continuously face complex and malicious cyber threats. Cybercriminal equipped by better skill, organized and well-funded than before. Cyber Threat Intelligence (CTI) has become a hot topic and being under consideration for many organization to counter the rise of cyber-attacks. The aim of this paper is to review the existing research related to CTI. Through the literature review process, the most basic question of what CTI is examines by comparing existing definitions to find common ground or disagreements. It is found that both organization and vendors lack a complete understanding of what information is considered to be CTI, hence more research is needed in order to define CTI. This paper also identified current CTI product and services that include threat intelligence data feeds, threat intelligence standards and tools that being used in CTI. There is an effort by specific industry to shared only relevance threat intelligence data feeds such as Financial Services Information Sharing and Analysis Center (FS-ISAC) that collaborate on critical security threats facing by global financial services sector only. While research and development center such as MITRE working in developing a standards format (e.g.; STIX, TAXII, CybOX) for threat intelligence sharing to solve interoperability issue between threat sharing peers. Based on the review for CTI definition, standards and tools, this paper identifies four research challenges in cyber threat intelligence and analyses contemporary work carried out in each. With an organization flooded with voluminous of threat data, the requirement for qualified threat data analyst to fully utilize CTI and turn the data into actionable intelligence become more important than ever. The data quality is not a new issue but with the growing adoption of CTI, further research in this area is needed.
Implementation of Monitoring System for Air Quality using Raspberry PI: Experimental Study
Authors: Alkandari Abdulrahman Abdullah , Moein Samer
Published: January 2019

Because of rising dependency on fossil fuels, and rising amounts of toxic gases in the environment, it found that people are in need of a way to ensure the safety specifically those that live in cities. An approach is suggested in this paper, that is economical yet affords good detection, and can give accurate readings that can be analyzed and manipulated, and can even provide warnings through sending emails. These requirements are found in the Raspberry Pi when it hooked up to the sensors. This paper was focused on few dangerous gases such as Carbon Monoxide (CO), Nitrogen Dioxide (NO2) and other gases. The results in this paper showed that some gases, specifically CO, may be a problem in Kuwait as it is always slightly below the warning level. The success with the Raspberry Pi and the results were encouraging to open the way for much improvement in the future.
Design Flexural Piezoelectric Acoustic Transducers Array based d33 Mode Polarization
Authors: Ahmad K.A. , Abd Manaf A. , Hussain Z. Hussain , Janin Z.
Published: January 2019

Piezoelectric Acoustic Transducer (PAT) is a transducers used in many application such as medical diagnostic, medical ultrasonic imaging and underwater acoustic applications. Latest research, PAT were investigated in marine application and underwater acoustic imaging. Conventional PAT is design based on sensing element, Piezoelectric Material, matching layer and backing layer. But the conventional method still has problem with issues of narrow bandwidth, directivity and low sensitivity. This problem is occurred when the transducer need to increase the image resolution. The size of single element will become smaller to meet the requirement of high resolution. PZT-5H have high piezoelectric constant (d31) and low dielectric loss. It is chosen as sensing element in this design of PAT because it will increase the sensitivity of transducers. The PAT is design based on d33 mode polarization to improve the receiving sensitivity. The fabrication process are included wet etching on Printed Circuit Board (PCB), spin coated Polydimethylsiloxane (PDMS), and baked transducer on hot plate. PAT is characterized using Pulse-Echo method. Pulse-Echo method will determine the sensitivity, directivity and operating bandwidth of acoustic transducers in underwater applications. Open circuit receiving voltage (OCRV) is voltage response to determine the sensitivity of acoustic transducer. The commercial projector and hydrophone will calibrate to obtain the reliability of result. In cross talk test, at some particular frequency, Pin 2 and Pin 3 have low sensitivity value. It is because Pin 2 and Pin 3 received low acoustic wave pressure. The PAT array based d33 mode polarization shows it has more receiving sensitive compared to commercial acoustic transducers. The design transducer has sensitivity at -56 dB re 1V/µPa at resonance frequency, 100kHz and fractional bandwidth at 30%.
Q-switched Erbium Doped Fiber Laser Incorporating Antimony (III) Telluride in Polyvinyl Alcohol as Saturable Absorber
Authors: Ismail Ezzatul Irradah , Ashraf Zolkopli S Muhammad , Lokman Muhammad Quisar , Yahaya Hafizal , Harun Sulaiman Wadi , Ahmad Fauzan
Published: January 2019

In this paper, we demonstrated a Q-switched erbium doped fiber laser (EDFL) incorporating Antimony (III) Telluride (Sb2Te3) in polyvinyl alchohol (PVA) as passive saturable absorber.  The saturable absorber were fabricated by dissolving Antimony (III) Telluride powder into PVA solution and dry in the ambient temperature for 48 hours. Then, 1 mm2 x 1 mm2 Sb2Te3-PVA film based saturable absorber were sandwiched in between FC/PC ferrule for Q-switched laser generation. The stable and self-started Q-switched laser operates at center wavelength 1560 nm with 3 dB bandwidth of 0.23 nm. The laser operates at pump power of 29.3 mW until 84.9 mW with repetition rate of 20.99 kHz to 89.29 kHz and pulse width of 13.95 µs to 5.10 µs. At maximum pump power, the laser able to achieve pulse energy of 62.72 nJ and high signal to noise ratio of 71.4
Finite Element Analysis of Maximum Electric Field for Air Breakdown under Various Electrode Configurations
Authors: Ambo Nur Farhani , Zainuddin Hidayat , Kamarudin Muhammad Saufi , Mohd Wari Jamaludin , Zahari Ayuamira
Published: January 2019

This paper describes the electric field behavior of air breakdown under various electrode configurations and gap length. By using COMSOL Multiphysics, a Finite Element Method (FEM) software, the values of maximum electric field can be determined based on the air breakdown voltage data obtained from the experiment under AC stress. The results show that R0.5-plane configuration provides a very high electric field upon breakdown, compared to R6-plane, R48-plane and plane-plane configurations. In addition, the comparison between the analytical and simulation results of maximum electrical field gives almost identical results for each electrode configuration except for R6-plane.
Preliminary Study of a New Topology Permanent Magnet Flux Switching Motor for Electric Buses
Authors: Omar M. F. , Sulaiman E. , Ahmad M. Z. , Rani J. A. , CV Aravind
Published: January 2019

Electric buses (EBs) as public transit that have been introduced in modern countries recently are an alternative effort to reduce climate change and environmental impacts of fossil fuels. One example of the successfully developed motor for EBs is interior permanent magnet synchronous motor (IPMSM) with merits of heat dissipating, high torque per frame size and reliability influence by absence of brushes. However, the three-phase armature windings are wounded in the form of distributed windings, results in much copper loss, high coil end length and reduced the efficiency. The embedded rectangular magnets inside the rotor make rotor less robust, increased rotor weight and reduced the torque and power density. The present IPMSM has a complex structure which is relatively difficult to manufacture and tough in optimization process. The 7.0 kg volume of PM used in IPMSM is very high, which increases the cost of the machine. Therefore, a new topology of permanent magnet flux switching motor using wedge-shaped PM and single stator structure with the advantages of simple stator design, robust rotor structure, high of torque and power, and high efficiency is proposed. The design, flux linkage, back-emf, cogging torque, average torque, speed, and power of this new topology are investigated by JMAG-Designer version 14.1 via a 2D-FEA. The initial design of proposed motor produces torque and power of 905.9 Nm and 57.75 kW, respectively.
Internet of Things based Wireless Plant Sensor for Smart Farming
Authors: M Monica Subashini , Das Sreethul , Heble Soumil , Raj Utkarsh , Karthik R
Published: January 2019

About 10% of the world’s workforce is directly dependent on agriculture for income and about 99% of food consumed by humans comes from farming. Agriculture is highly climate dependent and with global warming and rapidly changing weather it has become necessary to closely monitor the environment of growing crops for maximizing output as well as increasing food security while minimizing resource usage. In this study, we developed a low cost system which will monitor the temperature, humidity, light intensity and soil moisture of crops and send it to an online server for storage and analysis, based on this data the system can control actuators to control the growth parameters. The three tier system architecture consists of sensors and actuators on the lower level followed by an 8-bit AVR microcontroller which is used for data acquisition and processing topped by an ESP8266 Wi-Fi module which communicates with the internet server. The system uses relay to control actuators such as pumps to irrigate the fields; online weather data is used to optimize the irrigation cycles. The prototyped system was subject to several tests, the experimental results express the systems reliability and accuracy which accentuate its feasibility in real-world applications.
High Potential of Magnet on the Performance of Dual Piezoelectric Fans in Electronics Cooling System
Authors: Fadhilah Abdul Razak , Ahmad Robiah , Shamsul Sarip
Published: January 2019

Recently, piezoelectric fan has gained attention as potential active cooling method for electronics devices. Even though the piezoelectric requires high voltage, there are findings to overcome the shortcomings. Adding on a magnet at the tip of the piezoelectric fan to activate other magnetic passive fans is one of the methods to increase the total amplitude generated by the fans. This paper will discuss on the performance of integrated piezoelectric fan with passive fans (later refer to magnetic fans) to enhance the heat transfer in cooling system. A repulsive force produced by the magnets will cause the magnetic blades to oscillate together with the piezoelectric fan. The paper will focus on the optimization parameters of the magnets for selected dimension of piezoelectric fan. The parameters under investigation are the position of the magnet on the piezoelectric fan, number of magnets on each blades and orientation of blades with respect to adjacent blade. Results show that the magnet at middle location of extensive blade with double magnets generate the largest amplitude, 80% better than fan without magnet and for dual integrated piezoelectric fan with magnetic fan, radial orientation gives better result by 25%. By increasing the total amplitude using magnetic force, power consumption can be reduced while the heat transfer performance can be enhanced. it shows a good agreement for positive heat transfer and thermal resistance improvement compared to natural convection.
Performance Comparison of Controllers for Suppressing the Structural Building Vibration
Authors: Mamat Normaisharah , Yakub Fitri , Shaikh Salim Sheikh Ahmad Zaki , Mat Ali Mohamed Sukri
Published: January 2019

This paper presents the modelling and simulation of controllers for controlling the position of two degree of freedom (2 DOF) mass spring damper system. Proportional integral (PI), fuzzy logic controller (FLC) and sliding mode controller (SMC) are design to minimize the vibration of the system that represent as building structure towards earthquake. A structural building is simulate based on real earthquake occur in El Centro on May 1940. The algorithm for building structure, actuator and controller is derived. Matlab/Simulink is used to analyze the performance of controllers towards the vibration building structure. At the end of the study the time response for two story building for uncontrolled and controlled system is present. Besides, the result for limitation voltage for each controller is also analyse to determine the maximum voltage consume for the system. The simulation results show the comparison of the controllers’ performance in suppressing the building vibration. From performance analysis, SMC provides better performance compared to PI and FLC based on structural vibration reduction.
Palm Vein Pattern Visual Interpretation Using Laplacian and Frangi-Based Filter
Authors: Mohd Noh Zarina , Ramli Abdul Rahman , Hanafi Marsyita , Saripan M Iqbal , Ramlee Ridza Azri
Published: January 2019

Detection of palm vein pattern through image processing techniques is an open problem as performance of each technique is closely related to the sample image gathered for the processing. The detected palm vein pattern is useful for further analysis in biometrics application and medical purpose. This paper aims to investigate the application of Laplacian filter and Frangi-based filter in detecting vein pattern contained in a near infrared illuminated palm image. Both filtering techniques are applied independently to two palm image databases to compare their performance in translating vein pattern in the image visually. Through empirical study, it is observed that Laplacian filter can translate the vein pattern in the image effectively. But pre-processings involved before the application of Laplacian filter need to be performed to accurately translate the vein pattern. The implementation of Frangi-based filter, while simplifying the detection process without the need of extra pre-processing, resulted in only certain vein pattern detected. Using pixel-by-pixel objective assessment, the rate for Laplacian filter in detecting vein pattern are generally more than 85% compared to Frangi-based filter; where it ranges from 60% to 100%.