bluuebunny/crossref_metadata_2025 huggingface dataset:
Timing Offset Correction and Channel Tap Estimation of OFDM Systems Over Frequency Selective Fading Channels
Authors:   Dept of ECE, PESIT Bangalore South Campus, Bangalore, India., Sireesha* B , Anuradha B ,   Professor, Dept of ECE, S.V.University, Tirupathi, India.
Published: November 2019

In OFDM systems we need to perfectly time synchronize the receiver to the transmitter to maximize its BER performance. In the absence of timing synchronization the channel estimation can never be optimum. Both timing synchronization and optimum channel estimation are the essential requirements to maximize the performance. We present an algorithm that uses the cyclic prefix to determine the timing offset of the system. The same algorithm can be used to determine the number of channel taps and their variances also. Determination of number of channel taps helps us in minimizing the length of the cyclic prefix to be added and also in the channel estimation, to minimize the variance of the estimation error. The knowledge of the variances of the channel taps helps us in further reducing the estimation error. We present in this paper the timing offset corrected MMSE channel estimation and show by simulations the effectiveness of the method presented.
Optimization of a Water Distribution System in Kenya
Authors:   Department of Civil Engineering, Pan African University Institute of Basic Sciences, Technology and Innovation, Kenya., Mensah* Agboka Komi , Mayabi Alfred O. ,   Department of Civil, Construction and Environment Engineering, JKUAT University, KENYA., Cheruiyot Charle ,   Department of Civil, Construction and Environment Engineering, JKUAT University, KENYA.
Published: November 2019

Supplying water in significant quality and quantity is still a challenge for developing countries. Juja water distribution system located in Kenya faces low-pressure and inadequate residual chlorine concentration challenges and requires capacity boosting to meet the minimum requirements of a water supply system. For optimizing the existing Juja distribution network, the current study proposes some feasible solutions. The solutions comprise of network repairs, recommissioning of an existing tank coupled with a system of chlorine booster points, an addition of a booster pump and, changes in diameters of some pipes. The analysis was carried out using Epanet 3.0 hydraulic model. The hydraulic capacity of the upgraded network met the minimum requirements of a distribution system. Pressures in the distribution system ranged between 16.91 m to 63.63 m at user points after optimization with acceptable maximum headloss of 18.24 m/km and velocity of 2.25 m/s. The hydraulic behavior of the network satisfied general guidelines. The water quality analysis showed reasonable residual chlorine concentration, with 95% of the supply area ranging between 0.40 and 0.60 mg/l after upgrade by the model. These study results were recommended and shared with the Juja water company, which is currently undertaking a review process of the supply system.
Effect of Welding Parameters and Electrodes on Bead width using Gas Metal ARC Welding
Authors:   (Assistant Professor) Mechanical Engineering Department Jaipur National University, Jaipur India, Kumar Sanjeet , Kumar Dipendra ,   (Associate Professor) Mechanical Engineering Department Jaipur National University Jaipur, India
Published: November 2019

In this research work, an attempt has been made to formulate and investigate the effect of GMAW conditions on bead width during the cladding of low carbon steel pale using AISI 308H electrodes. The Box- Behnken design has been employed for the development of mathematical relationship. The voltage, current and wire diameter have been considered as cladding conditions. The variation of bead width with voltage and current have been found non linear while, the effect of wire diameter on bead width has been observed linear. On the other hand, the bead width continuously increases with increase in voltage, current and wire diameter.
Designing a Deep Neural Networks Structure to Acquire the Top Level Depiction of Human Interactions
Authors:   Research Scholar, Department of CSE, JNTUH, India, Rani S. Sandhya , Naidu Dr. G. Appa Rao ,   Professor, Department of CSE, JBIET, India, Shree Dr. V. Usha ,   Principal, Department of ECE, JBREC, India
Published: November 2019

The latest research studies have really concentrated on slim complications including individual action recognition approaches utilizing depth information, 3D-skeleton information, still photo applicable info, spatiotemporal interest point-based approaches, and also human strolling proposition recognition Nevertheless, there has actually really been no methodical research study of individual action recognition. We present the scene context features that describe the atmosphere of the topic worldwide and also local levels. We design a deep neural network structure to acquire the top-level depiction of human activity combining both activity attributes as well as context features.
Feature Extraction and Enhanced Convolutional Neural Network (ECNN) for Detection and Diagnosis of Seizure using EEG Signals
Authors:   Research Scholar, Rathinavel Subramaniam College of Arts and Science, Sulur, Coimbatore, India., Banu* N. Sharmila , Suganya S. ,   PhD, Associate Professor, Rathinavel Subramaniam College of Arts and Science, Sulur, Coimbatore, India.
Published: November 2019

Seizure detection in non-stationary electroencephalography (EEG) is perplexing and difficult task. The human examination for detecting the seizure activities in EEG signals is liable to errors. Apart from the errors, it is a time driven task and also the detection is not precise. In order to detect epileptic seizures more precisely various automatic systems have been emerged to assist neurophysiologists by researchers in various attempts. There are various limitations such as time-consuming, technical artifact issues, result variation with respect to reader expertise level, abnormalities identification. Enhanced Convolutional Neural Network (ECNN) is a technique proposed to mitigate the above mentioned limitations and to categorize more accurate epileptic seizures results. A novel automatic method to sense epileptic seizures using feature extraction and detection is proposed in this research. Linear filter is helpful in reducing the noise along with artifacts when the EEG signals are preprocessed. The noise can be still removed by applying Least Mean Square algorithm. In this proposed research the features are extracted via analytic time frequency with Cascaded wavelet transform and fractal dimension (FD) in order to detect epileptic seizures. Lastly, to analyze the EEG signal for better classification performance of the given dataset, ECNN is adopted. During this research to classify normal, preictal, and seizure classes, a 13-layer deep ECNN algorithm is implemented. This research has special characteristics such that the model yields promising classification accuracy. The experimental result demonstrates that the proposed ECNN is superior in terms of higher sensitivity, specificity, accuracy and lower time complexity rather than the existing methods.
Features of legal Regulation in the digital Economy
Authors:   Stavropol Institute of Cooperation (branch) of Belgorod University of Cooperation, Economics & Law, Stavropol, Russia., Blizno* Liliya , Kovaleva Olga ,   Stavropol Institute of Cooperation (branch) of Belgorod University of Cooperation, Economics & Law, Stavropol, Russia., Abramenko Galina ,   Stavropol Institute of Cooperation (branch) of Belgorod University of Cooperation, Economics & Law, Stavropol, Russia., Martseva Tatyana ,   Krasnodar University of the Ministry of Internal Affairs of the Russian Federation (Novorossiysk Branch), Novorossiysk, Russia., Nebylova Yadwiga ,   Novorossiysk Institute (branch) of the Moscow University of Humanities and Economics, Novorossiysk, Russia.
Published: November 2019

This article discusses the features of legal support for the functioning of the digital economy. Some reasons for the need for modernization of legislation in the context of the development of the digital economy are highlighted. Based on international experience, approaches to legal regulation in the field of the digital economy are proposed, by ensuring such a legal regime in which innovations, on the one hand, will develop freely, and, on the other hand, will be protected from possible risks.
Effect of Plastering Layer on Corrosion Resistances of Reinforced Concrete Beams
Authors:   Assistant Prof., Department of Structural Engineering, Faculty of Engineering, Ain Shams University, Cairo, Egypt., Masoud Mohamed R. , Ebid* Ahmed M. ,   Lecturer, Department of Structural Engineering, Faculty of Engineering & Technology, Future University, Cairo, Egypt.
Published: November 2019

Reinforced concrete structures are subjected to deterioration due to many factors such as corrosion of reinforcing steel. Ultimate strengths of structural elements can be greatly affected by these deteriorating factors. There are numerous methods and techniques used to protect these structural elements. The mortar layer (Plastering) is considered the first defense line against all the deteriorating factors. The main goal of this research is to investigate to what extent the plastering layer can protect reinforced concrete beams against corrosion. The aim of the experimental program is to study the effect of plastering layer on corrosion resistance of reinforced concrete beams. Four reinforced concrete beams (1002001100 mms) and four Lollypop specimens (cylinders 100200 mms) were tested and described as follows: • A beam and a lollypop specimen without any plastering layer (control). • A beam and a lollypop specimen with traditional plastering layer (cement + sand + water). • A beam and a lollypop specimen with modified plastering (traditional plastering + waterproof admixtures). • A beam and a lollypop specimen with painted and modified plastering layer (traditional plastering + waterproof admixtures + external waterproof paint). These eight specimens were subjected to corrosion using accelerated corrosion technique, after that the four beams were tested in flexure under three point load arrangement while the four lollypops were used to calculate the total mass loss due to accelerated corrosion. The test results were used to figure out the effect of plastering layer on corrosion resistance of RC beams.
Challenges and Resolutions for Sustainable Domestic Wastewater Management in Kabul City, Afghanistan
Authors:   Biology Department, Higher Education Institute of Paktika, Afghanistan., Rahmani* Hizbullah , Anuar Aznah Nor ,   Malaysia- Japan International Institute of Technology, University Technology Malaysia, Kuala Lumpur, Malaysia
Published: November 2019

There is an extreme lack of statistics about Kabul city wastewater management. Therefore, the objectives of this study were to investigate and address the current circumstances and key challenges of domestic wastewater management in residential areas. In addition, to recommend sustainable solutions. The methodology adopted includes the use of questionnaires, field observation and review relevant documents from related stakeholders. The result indicated that more than 50% of households do not have improved toilets. There are no proper wastewater treatment plants except Macroyans’ wastewater treatment facilities that are not worked properly. Furthermore, there is no proper drainage system. Approximately 100 % of domestic wastewater is discharged to the environment without appropriate treatment that creates severe health and environmental problems such as groundwater pollution, bad odors, and effects on biodiversity. The major diseases are diarrhea, malaria, cholera, and typhoid. The key challenges of domestic wastewater management include; absence of improved sanitation facilities, lack of proper wastewater treatment plants and drainages system, poor government responsibilities, deficiency of public participation and unsolid of sustainable wastewater management framework. According to the current circumstances and challenges of domestic wastewater management: decentralized wastewater treatment technologies, enforcement of legislation, decentralization of planning and budgeting to local institutions, involving public, planners and policy-makers at all level and forming of a sustainable wastewater management framework are the main elements which can contribute with wastewater management sustainability in Kabul city
Minimization of Bit Error Rate in Polar Codes for Achieving Channel Capacity
Authors:   Pursuing Ph.D. in Department of ECE, UCE(A) in Osmania University, Hyderabad,India., Mude Shoban , Bhukya Rajendra Naik ,   Professor, Department of ECE, University college of engineering, Osmania University, Hyderabad,India.
Published: November 2019

Polar codes are designed to achieve Shannon’s theoretical limit for channel capacity with low complexity constructive approach. polar codes invented by E Arikan with the exceptional phenomenon by considering the generator matrix instead of parity bits with the information bits. As the block length N increases the sequential decoding paths are increases this may cause a reduction in SNR and increases the BER, this will occupy more channel bandwidth and consumes more power to transmit the signal. To notice the issues, we proposed a more constructive approach for error-free polar codes design up to 6 Gbps with proposed priority enabled reliability sequence (PERS), bit channels and CRC aided polar codes. This approach outperforms as compared with earlier ones.
Folded Shorted Patch Antenna with Slots for Wireless Applications
Authors:   Department of ECE, Karunya Institute of Technology & Sciences, Coimbatore., Jone A. Amir Anton , J John Paul. ,   Department of ECE, Karunya Institute of Technology & Sciences, Coimbatore., Prince Shajin ,   Department of ECE, Karunya Institute of Technology & Sciences, Coimbatore., Sagayam K. Martin ,   Department of ECE, Karunya Institute of Technology & Sciences, Coimbatore., J. Samson Immanuel. ,   Department of ECE, Karunya Institute of Technology & Sciences, Coimbatore.
Published: November 2019

The Folded shorted patch antenna is used to measure the performance of the antenna by changing the slots. In this paper three different patterns are projected by incrementing the slots. The antenna size is very tiny when compared to conventional patch by folding the shorted patch. The gain, efficiency, radiation pattern and return loss are computed and the numbers of slots are increased for the three proposed antennas. The antennas demonstrate different frequency bands which can be utilized for many wireless applications.
Distinctive Advancements in Bigdata Persistence and Processing
Authors:   Research Scholar, Department of Computer science and Engineering Vels Institute of Science, Technology and Advanced Studies, Chennai, India, Rajagopal Krishnaraj , Narayanan Kumar ,   Associate Professor, Department of Computer science and Engineering Vels Institute of Science, Technology and Advanced Studies, Chennai, India
Published: November 2019

The Goal of this paper aims to detail the exploration of Big Data and different technology stack to handle and process Big Data to make more insights. In recent years the digit data is growing more and more. There are so many sources of these Big Data like mobiles, videos, social media like facebook/twitter, images, application logs, data generated from the system, etc. We need a special storage and processing system to analyze these Big Data.
An Automatic System for Heart Disease Prediction using Perceptron Model and Gradient Descent Algorithm
Authors:   Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, Tamil Nadu, India., Dhiman Akshat , Mohapatra Kanyush ,   Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, Tamil Nadu, India., Jagdishkumar Panchal Raj ,   Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, Tamil Nadu, India.
Published: November 2019

Many deep learning neural network-based models had been proposed for the prediction of heart diseases but there is no model accessing all 13 features directly from the dataset & feeding them to the ‘Perceptron’. The model starts with certain weights and biases to train itself with the given dataset. The error is calculated in each epoch using the popular ‘gradient descent’ algorithm. Improper arrangement of neurons in a neural network can lead to overfitting or underfitting of the model which will gradually decrease the accuracy. But the perceptron model has only a single neuron performing all the classification and arrangement of data. The weights and biases in the model are updated to fit the model properly in a way that the equation can classify maximum number of data points. The learning algorithm of Perceptron model which calculates the result and performs binary classification is Σ_(i=0)^n wixi >= b. The weights and biases in the equation are changed repeatedly over epochs to decrease the error and fit the dataset with most efficient predicted output. Compared to the old MP Neuron model, the model is more effective with an accuracy of 98.349%.
Enhancement of Bandwidth using Inset-Fed Patch Antenna for High Frequency Applications
Authors:   Research Scholar Dept of ECE , Andhra University College of Engineering (A), Visakhapatnam, Andhra Pradesh.., Pavada Santosh Pavada , Prudhivi Mallikarjuna Rao ,   Professor, Dept of ECE, Andhra University College of Engineering (A), Andhra University, Visakhapatnam, Prabhakar D. ,   Associate Professor, Dept of ECE, Gudlavalleru engineering college (A), Gudlavalleru.
Published: November 2019

Today in communication field, many antennas have been evolved for various applications. The most popularly used antennas are micro-strip antennas. These antennas can be easily fabricated at reasonably low cost. Hence, these antennas are gaining lot of importance in recent times. Many techniques have been in use for micro strip antennas to improve the performance of the antenna parameters. The design of these antennas is slowly moving towards high frequencies, where there is lot of advantage with bandwidth. In this paper a normal and E shaped inset micro-strip antenna in Ku-Band is simulated and the results are presented. It is noted that CST-MS 2015 tool has been used to get the simulation results.
Effect of Turning Parameters and Reinforcement on the Surface Roughness of Hybrid Aluminium Metal Matrix Composite
Authors:   Mechanical Engineering Department, Institute of Technology, Nirma University, Ahmedabad, India and Mechanical Engineering Department,, LDRP-ITR, Gandhinagar, India, Suthar Jigar , Patel* Dr. Kaushik ,   Mechanical Engineering Department, Institute of Technology, Nirma University, Ahmedabad, India.
Published: November 2019

Since last two decades, technology has changed rapidly in each industry from consumer goods to aerospace. To quench the thrust of technology advancement of industries, the research community has to develop the novel materials. As a part of the ongoing process of material development and machinability study, present work was carried out to find out the effect of various cutting parameters on surface roughness and machining time of aluminium Hybrid Metal Matrix Composites (AHMMCs). In this study, pure aluminium was used as a matrix material while; B4C, Mg, Ti and Graphite were used as reinforcement. It was observed that 2202 RPM spindle speed, 0.18 mm/rev feed rate and 1.1 mm depth of cut are the optimum turning parameters with PCD insert. While machining of same composites using carbide insert, optimum spindle speed, feed rate and depth of cut are 2091 RPM, 0.19 mm/rev and 1.1 mm respectively. Moreover, PCD insert provides better surface finish compared to carbide coated insert for same cutting conditions. Moreover, the effect of reinforcement particles presence on the surface finish was also investigated and it was concluded that reinforcement presence reduces the surface roughness considerably. Particularly presence of Mg and graphite reduces surface finish significantly.
An Assessment on Energy Efficient Protocols for MANETS
Authors:   Dept. of Computer Science & Engg, Vemana Institute of Technology, Bengaluru, India., R Mamatha C , Ramakrishna M. ,   Dept. of Computer Science & Engg, Vemana Institute of Technology, Bengaluru, India.
Published: November 2019

A Mobile Ad-hoc Network (MANET) is a wireless network created without any static infrastructure and works in a decentralized fashion. The nodes are independent and communicated with each other by self-organizing among those nodes to provide the global network functionality. It draws more attention in recent years because of enormous applications and its cost-effective implementation. The communication among these nodes entirely depends on the routing path and battery power. Many researches have concentrated only on finding the shortest path and throughput in this area. The energy-efficient routing has a lot of scope and important factor to be considered for routing in MANET’s. In this article, the current energy-efficient routing protocols will be extensively reviewed and results tabulated. Finally, the paper proposes open areas in which the performance of the network may be improved by considering energy-efficient networks, achieving stability in the network and finding better routes.
Hum Noise Reduction using Novel Complementary Pair VSSLMS Algorithm
Authors:   Assistant Professor, Department of Electronics and Telecommunication, KIT College of Engineering, Kolhapur, India., Prasad Saurabh R , Kadage Anushka D ,   Assistant Professor, Department of Digital Communication and Digital Signal Processing, Visvesvaraya Technological University, Belgaum, Karnataka, India., Karmuse Sachin M ,   Assistant Professor, Department of Computer Programming, Visvesvaraya Technological University, Belgaum, Karnataka, India., Patil Shrinivas A ,   Professor, Department of Electronics and Telecommunication Engineering, DKTE Society's Textile and Engineering Institute, Ichalkaranji, India., Godbole Dr Bhalchandra B ,   Associate Professor, Department of Electronics Engineering, Karmaveer Bhaurao Patil College of Engineering, Mumbai, Maharashtra, India.
Published: November 2019

This paper presents a novel Complementary Pair Variable Step-size (CPVSS) Least Mean Square Algorithm which is implemented for active noise cancellation application. The result presents the effect of filtration to remove the 50 Hz ac hum noise from the 500 Hz audio tone. Discrete Fourier Transform, Short Time Fourier Transform, and Welch Periodogram of the noisy signal and filtered signal have been presented which shows effective improvement in SNR. The simulation study has shown the superiority of this algorithm over other algorithms under consideration.
A Novel Algorithm to detect Replay Attack in WLANs
Authors:   DCSA, Panjab University SSGRC, Hoshiarpur, Punjab, India., Singh* Rajinder , Kumar Dr. Satish ,   DCSA, Panjab University SSGRC, Hoshiarpur, Punjab, India.
Published: November 2019

Nowadays, security of wireless local area networks (WLANs) is the biggest concern for many organizations. Protecting wireless networks from unauthorized users is a major concern to be addressed. The broadcasting nature of the wireless networks makes it vulnerable to carry different types of attacks. Main wireless threats are man in the middle attack, eavesdropping, evil twin attack and replay attack etc. In this paper Replay Attack threat is highlighted. An attacker can use many different tools available freely on the internet to carry this type of attack. We propose a methodology to detect the Replay attack. In this paper a variant of replay attack called address resolution replay attack is discussed. To carry this attack Ettercap tool is used. In this type of attack, attacker floods the wireless network with ARP traffic. So the performance of the wireless network degrades. To detect ARP request/replay attack our proposed method uses protocol field and nature of frame field. A Replay attack in which all the traffic captured and replayed is also discussed. To detect this type of attack, main parameters which are considered are the number of retransmitted packets, number of duplicate ACK and number of TCP spurious retransmitted packet.
Human Action Recognition using Scaled Convolutional Neural Network
Authors:   Department of IT, MIT College of Engineering, Pune, India., Jahagirdar* Aditi , Nagmode Manoj ,   Department of E & TC, Government College of Engineering and Research, Avasari, India.
Published: November 2019

Deep learning is current buzz word in domain of computer vision. In this work, a method for human action recognition based on a variation of General Convolutional Neural Network (GCNN), called Scaled CNN (SCNN) is proposed. In GCNN, weights of the network are updated in every epoch of training to minimize the classification error. In SCNN, the weighs are first computed using gradient descent algorithm as in GCNN, and then multiplied by scaling factor. Scaling factor is calculated using statistical measures, mean and standard deviation of the frames. Since statistical measures vary from video to video, scaling factor adapts to these changes. As the statistical information from the frames is directly used to alter the weights, it results in minimizing the error faster as compared to GCNN. Results of the proposed method prove that higher accuracy can be achieved with less number of epochs if scaling is used.
Video Summarization Based on Gaussian Mixture Model and Kernel Support Vector Machine for Forest Fire Detection
Authors:   Department of Computer and Information Science Annamalai University, Pushpa B. , Kamarasan M. ,   Department of computer and Information Science Annamalai University
Published: November 2019

Exponential growth in the generation of multimedia data especially videos resulted to the development of video summarization concept. The summary of the videos offers a collection of frames which precisely define the video content in a considerably compacted form. Video summarization models find its applicability in various domains especially surveillance. This paper intends to develop a video summarization technique for the application of forest fire detection. The proposed method involves a set of processes namely convert frames, key frame extraction, feature extraction and classification. Here, a Merged Gaussian Mixture Model (MGMM) is applied for the process of extracting key frames and kernel support vector machine (KSVM) is employed for classifying a frame into normal frame and forest fire frame. The simulation analysis is performed on the forest fire video files from FIRESENSE database and the results are assessed under several dimensions. The final outcome proves the efficiency of the presented MGMM-KSVM model in a considerable way.
Classification of Focal and Non-Focal EEG Signal using an Area of Octagon Method
Authors:   Research scholar, Department of ECE, sathyabama institute of science and technology, Chennai-600119, Tamil Nadu, India, Krishnaprasanna* R. , Vijayabaskar V. ,   Professor, Department of ETCE, sathyabama institute of science and technology, Chennai-600119, Tamil Nadu, India,.
Published: November 2019

Epilepsy, a neurological syndrome can be detected via the electroencephalogram (EEG) signal with the help of sensors placing in the human cranium. This article introduces a fresh method known as the Area of Octagon (AOO), used for Focal (F) and Non-Focal (NF) EEG Signal classification. Initially, both class signals are putrefied into many intrinsic mode functions (IMF) with the help of Empirical mode decomposition (EMD) algorithm. The AOO can be computed with the help of decomposed IMFs. The AOO is now used as an input feature set for the classifier. This research aims to discriminate the F and NF EEG measurements for the therapy resistance. The proposed method attained an average classification accuracy of 97.9% with Linear, polynomial and an RBF kernel.
Performance Improvement and Speed Control Of PMSM and IM for Water Pumping Applications
Authors:   Electrical and Electronics Engineering, Anurag Group of Institution,, Bhargavi S. , Kumar K.Sateesh ,   Electrical and Electronics Engineering, Anurag Group of Institution, Kumar Dr.T.Anil ,   HOD, Electrical and Electronics Engineering, Anurag Group of Institution, Krishna D. ,   Electrical and Electronics Engineering, Anurag Group of Institution,
Published: November 2019

In this paper a PVA fed Induction machine (IM) and PMSM inverter drive circuit is proposed with vector control to maintain speed of the motor with respect to solar irradiation. The speed of the IM &PMSM is controlled by feedback from the sensor of machine. The speed controller is upgraded with MPPT reference speed estimation which generates required speed with respect to voltage and current feedback from PVA.The speed controller of PMSM is updated with 49 rule based fuzzy interface system with 7 membership functions. The circuit is modelled in MATLAB Simulink environment with results and graphs generated with respect to time.
Analysing the Critical Quality Factors in IOT- Based Service Implementation: A Systematic Evaluation
Authors:   Tenaga Nasional University, Sidek Norliza binti , Ali Nor’ashikin binti ,   Tenaga Nasional University
Published: November 2019

The emergence of InternetofThings offers opportunities for public services to deliver efficient and high-quality smart services. At present, the IoT-based services (IoTbS)are still at an initial stage of the journey to Government’s digital transformation. Although the success of IoTbSimplementation depends on users' behaviour and their willingness to use, little attention has been paid to explore the critical quality factors (CQFs) of IoTbSthat may influence the usage and performance. This article presents the currentstate of IoTbSimplementation and will answer these questions: 1) What are the CQFsthat influence the usage and performance of IoTbSimplementation?; and2) What are the research types and research contribution types in this area? In this study, a systematic literature reviewwas performed using specific search string to obtain papers recently published from four relevant electronic databases. As a result, the systematic search yielded 10,066 hits and 11 papers were selected presenting CQFs in this context. Besides identifying the CQFs, research types and contribution types in IoTbSimplementation, this paper reports the identified research gaps that have led the author to recommend potential future directions on this topic.
Detection of Pulmonary Tuberculosis Manifestation in Chest X-Rays Using Different Convolutional Neural Network (CNN) Models
Authors:   Faculty of Computer Science and Information Technology, Meraj Syeda Shaizadi , Yaakob Razali ,   Faculty of Computer Science and Information Technology, Azman Azreen ,   Faculty of Computer Science and Information Technology, Rum Siti Nurulain Mohd ,   Faculty of Computer Science and Information Technology, Nazri Azree Shahrel Ahmad ,   Faculty of Computer Science and Information Technology, Zakaria Nor Fadhlina ,   Department of Medicine, Medical and Health Science Faculty, Universiti Putra Malaysia, 43400, Serdang, Selangor
Published: November 2019

Tuberculosis (TB) is airborne infectious disease which has claimed many lives than any other infectious disease. Chest X-rays (CXRs) are often used in recognizing TB manifestation site in chest. Lately, CXRs are taken in digital formats, which has made a huge impact in rapid diagnosis using automated systems in medical field. In our current work, four simple Convolutional Neural Networks (CNN) models such as VGG-16, VGG-19, RestNet50, and GoogLenet are implemented in identification of TB manifested CXRs. Two public TB image datasets were utilized to conduct this research. This study was carried out to explore the limit of accuracies and AUCs acquired by simple and small-scale CNN with complex and large-scale CNN models. The results achieved from this work are compared with results of two previous studies. The results indicate that our proposed VGG-16 model has gained highest score overall compared to the models from other two previous studies.
Software Requirements Prioritization Tool using a Hybrid Technique
Authors:   Faculty of Computer Science and Information Technology/ University Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia, Din Jamilah , Michael Ilori ,   Faculty of Computer Science and Information Technology/ University Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia, Jasser Muhammed Basheer ,   Faculty of Computer Science and Information Technology/ University Putra Malaysia43400 UPM Serdang, Selangor, Malaysia
Published: November 2019

Requirements Prioritization (RP) helps to discover the most desired requirements. System developers are not always fully able to implement stakeholders' requirements when time, scope and cost are limited. To solve this challenge, requirements must be prioritized. A few prioritization techniques have been proposed but nonehasbeen automated. Furthermore, rank reversals (updating rank status whenever requirements are added or deleted) is a major limitation of existing techniques. This paper uses AHP and Cost-Value methods for requirement prioritization while addressing rank reversal. The techniques are able to rank every requirement based on relative value and implementation cost. The AHP method allows an input from the system developers and system users and makes a pair wise comparison. The Cost value method ranks the requirements in terms of the ratio of value to cost. As requirements increases, human inconsistency in judgment increases. AHP calculates inconsistency and if it is less than 0.1 then stakeholders should consider new input values. The prioritization methods are implemented into a prioritization tool which creates a list of the prioritized requirements as output, then consequently generates a scatter plot to display relative values and implementation costs of input requirements. This tool is evaluated in terms of efficiency (total time taken for prioritization) and ease of use.
Usability Assessment For The Enhancement of Quality of a Web Portal Interface
Authors:   Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, Ramachandran Shageetha , Nor Rozi Nor Haizan ,   Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, Jusoh Yusmadi Yah ,   Faculty of Computer Science and Information Technology, Universiti Putra Malaysia
Published: November 2019

A web portal can be defined as a personalized, single point of access to information, resources and services covering a wide range of topic. Based on some researches, a system based on the internet can improve the work efficiency to some extent and provide all kinds of academic administration information timely. As to establish the intended function, usability is a crucial factor to be embarked on. This will ensure that the users are attracted to use the portal by increasing the relationship between the users and the portal’s interface. The Applied Informatics Research Group (AIRG) is the group assigned by the Faculty of Computer Science and Information Technology (FSKTM) to manage the Research Group Portal System (RGPS) that is the sample used in this research. The RGPS is a web-based system that allows collaboration among the users; to locate, store, use and share their knowledge. The main objective of this research is to obtain the feedbackfrom the users regarding the usability of the RGPS that is deterring them from optimizing the usage of this system. Surveys and questionnaires are used to evaluate and the output acts an input to modify the interface of the RGPS. Again, validation will be done to weight the users’ experience with the modified user interface.
Using Kano Model to Prioritize Requirements for UiTM Share Ride Mobile Application Development
Authors:   Faculty of Computer and Mathematical Sciences, UniversitiTeknologi MARA, Kamaruddin Kamalia Azma , Roslan Nur Afiqah ,   Faculty of Computer and Mathematical Sciences, UniversitiTeknologi MARA
Published: November 2019

One of the major issues in a university campus is the trouble of discovering parking spots. With excessive number of cars enteringUniversitiTeknologi MARA (UiTM) main campus and limitation of parking spots, vehicle parking is one of the major problems faced by the university’s staff and students. Carpooling or ride-sharing is viewed as the practical approach to solve this problem. The suggestionto share rides will lessen the amount of vehicles enteringUiTMcampusesthus reducing parking space problem anddecrease fuel emission for acleaner and healthier environment. Development of UiTM Share Ride Mobile Application will be a medium forUiTMstaff and studentsto sharetheir rides thus, requirements engineering of the application need to be performed. In this research, data collection methods such as online surveys and interviews were used to provide accurate requirements for the development of the application.Using thematic analysis and Kano Model prioritization technique, specific quality characteristics and degrees of accomplishment were usedto assess the requirements in view of consumer satisfaction. As a result, a total of seventy-seven requirements has been gathered and categorized according to the Kano technique and a use case diagram was built to demonstrate the requirements functionalities of UiTM Share Ride Mobile Application.
Design and Simulation of Multi-Function Virtual Grid Edge Intelligent Electronic Device with Standardized Semantics Based on IEC 61850 Standard
Authors:   TNB Research SdnBhd, Malaysia, Ridwan Mohd Iqbal , Lin Nadia Tan Mei ,   University TenagaNasional, Malaysia, Agelidis Vassilios ,   Technical University of Denmark
Published: November 2019

The advancement of communication technologies has facilitated the evolution of traditional electric power system into a vast entity called smart grid. Various domains such as substation automation, distributed energy resources, advanced metering infrastructures, energy storage systems and many more serve as parts and parcels of smart grid. Fundamentally, these domains communicate and exchange information within the domain as well as other domains to execute their intended functions. One example is the grid edge domain in smart grid, where devices at customer premise interact with utility grid as well as electricity market for applications such as demand response and energy trading. Generally, devices in grid edge domain exists independently to perform its specific functions. The information model and communication standards in these devices vary depending on the implementation by its manufacturers. This pose challenges for integration works which may require these devices to exchange information with each other. Therefore, this paper aims to design and proposeamulti-function virtual intelligent electronic device (IED) which capable of performing various applications at grid edge domain. The virtual IED utilizes standardized data model and semantics based on IEC 61850 standard. Information exchange based on IEC 61850 is then simulated between the virtual IED and a Client Simulator. The results indicate successful communication and information exchange based on IEC 61850 standard hence demonstrates the potential applications of the standard for grid edge domain.
Enhanced Affinity for Spectral Clustering using Topological Node Features (TNFS)
Authors:   Department of Mathematics and Computer Science, Sri Sathya Sai Institute of Higher Learning, Puttaparthi, India., Chintalapati Lalith Srikanth , Rachakonda Raghunatha Sarma ,   Department of Mathematics and Computer Science, Sri Sathya Sai Institute of Higher Learning, Puttaparthi, India.
Published: November 2019

Data clustering is an active topic of research as it has applications in various fields such as biology, management, statistics, pattern recognition, etc. Spectral Clustering (SC) has gained popularity in recent times due to its ability to handle complex data and ease of implementation. A crucial step in spectral clustering is the construction of the affinity matrix, which is based on a pairwise similarity measure. The varied characteristics of datasets affect the performance of a spectral clustering technique. In this paper, we have proposed an affinity measure based on Topological Node Features (TNFs) viz., Clustering Coefficient (CC) and Summation index (SI) to define the notion of density and local structure. It has been shown that these features improve the performance of SC in clustering the data. The experiments were conducted on synthetic datasets, UCI datasets, and the MNIST handwritten datasets. The results show that the proposed affinity metric outperforms several recent spectral clustering methods in terms of accuracy.
Design and Development of Universal Pillion Foot-board for Underbone Motorcycle
Authors:   Center for Design Study, Faculty of Innovative Design and Technology, Universiti Sultan Zainal Abidin, Kuala Terengganu, Malaysia., Rasul* Ruwaidy Mat , Medali* Tuty Liana ,   Product Technology Department, German-Malaysian Institute, Kajang, Malaysia., Abdullah Sharifah Hanis Yasmin Sayid ,   Faculty of Innovative Design and Technology, Universiti Sultan Zainal Abidin, Kuala Terengganu, Malaysia., Endut Azizah ,   Faculty of Innovative Design and Technology, Universiti Sultan Zainal Abidin, Kuala Terengganu, Malaysia.
Published: November 2019

This study is carried out to design and develop a pillion foot-board to include safety features specifically for Malaysian two-wheelers drivers and children pillion passengers. This is due to the potential vulnerability of children pillion passengers and the possibility of injuries caused by accidents. Triangulations methodology was applied with observational and survey studies have been conducted in several areas including Johor, Kelantan and Terengganu. The observation technique was conducted to identify the problem of available foot-board design and the design criterion. The interviews were conducted to identify the experience from the users. The school area was found to be the most covered place as most of the pillion passengers were the primary /elementary schools and kindergarten students. Almost 76% of the underbone motorcycle user used motorcycle for the purpose of sending and fetching their children to school every day. It was also found that they have encountered an accident before caused by the unbalanced situation on the road. The design and development of pillion foot-board namely PIJAK involved two stages before the outcome can be finalised. Preliminary design using two-dimensional and three-dimensional design was simulated using CAD software based on the product design criteria. Von Mises Stress analysis was conducted to determine the strength and capacity of the design product. Prototype 3 was found as the best model for PIJAK. The design and fabrication of PIJAK be able to provide a form of protection and comfort to young pillion riders. The product is expected to reduce the risk of children's feet injuries during motorcycle riding.
Stochastic Modeling of the Mechanism in Virus Growth of Cells in HIV Infected Person
Authors:   Research Scholar, Department of Statistics, Annamalai University, Chidambaram, Tamil Nadu, Saranya* S. , Meenakshi G. ,   Assistant Professor, Department of Statistics, Annamalai University, Chidambaram, Tamil Nadu
Published: November 2019

The overall time required for a virus to reproduce depends collectively on the rates of multiple stages in the infection process, including initial binding of the virus particle to the surface of the cells, virus internalization and release of the virus genome, association of descendent virus particles, and release of these particles into the extracellular atmosphere. For a large number of virus type, much has been learned about the molecular, RNA or protein expression genome replication rates of the various stage. However, an attempt is been made using stochastic modeling to the overall timing and productivity of the infection stage in a cell. The numerical result to predict the probability of infection given the communication of the virus to a new individual.
Work Life Balance among School Teachers at Ambattur in Thiruvallur District
Authors:   Assistant Professor, PG and Research Department of Commerce, D.R.B.C.C.C Hindu College, Pattabiram, Tamilnadu, India., Sathiyamoorthy Dr.C.
Published: November 2019

This study focuses on the work life balance among school teachers at Ambattur in Thiruvallur district. The objective of the study is to examine the problems of work life balance and how teachers are balancing their work and life. To check whether there is a balance in the work and life or not. If not balance suitable tips can be given to the teachers. Also there is a balance in work life balance then the teachers balancing their work and life will be critically studied. Work life balance encourages employees to divide their time on the basis on priorities and maintain a balance by devoting time to family, health, vacations etc along with making a career, business travel etc.
Local Binary Patterns Histograms (LBPH) Based Face Recognition
Authors:   Department of Computer Science, BBA University, Lucknow, India,, Verma* Dr. Satya Bhushan , Tiwari Er. Nidhi ,   Computer Science & Engineering, Dr A.P.J.Abdul Kalam Technical University Lucknow, India
Published: November 2019

The human face has been broadly used in computer vision field for individual recognition. The face recognition is one of the secure ways to protect the data over the internet. In this paper we use (LBPH) Local Binary Patterns Histogram based Face Recognition. We use Yale face database for experiment and it contains 165 grey images in the GIF format of 15 person and 11 image per person and in this experiment we use only normal image in 180*180 at grey scale images and in this research article in the verification phase the difference between two histograms are calculated by Chi-square distance, Manhattan distance. The proposed technique has achieved TSR=98.8% in Chi-square and TSR=98.5% in Manhattan distance parameter. Person Identification using their physical structure or behavioral characteristic is known as the biometric.