bluuebunny/crossref_metadata_2025_split huggingface dataset:
Stability Analysis of Relay Access Protocol (RAP) using Fuzzy Logic in Wireless Sensor Networks
Authors: Abdul Rahman Azamuddin , Nizam Mohd Kahar Mohd , Isni Sofiah Wan Din Wan 
Published: June 2020

Abstract
Cluster Head (CHs) determination is critical whereas the combination of input parameters is expected to play an important role. However, each WSN’s protocol uses a different combination of input parameters based on residual energy and several other input parameters, which produce different amount of energy consumption. Besides, most of the previous works on cluster heads selection do not take received signal strength indication (RSSI) into consideration. As a result, the sensor nodes with bad RSSI can be elected as CHs which lead to an increase in energy consumption. Moreover, the CHs use single-hop communication to forward their sensed data to the Base Station (BS). This results in high energy consumption and consequently, decrease the network lifetime. In this case, the inter-node distances may degrade the performance of the network due to long distance. Thus, this paper proposed a Relay Access Protocol (RAP) in order to reduce energy consumption in cluster-based wireless sensor networks (WSNs). The RAP protocol is a 2-tier protocol used for energy efficiency by selecting Cluster Heads (CHs) based on Fuzzy Logic (FL). The performance of the proposed protocol was evaluated under two different scenarios and compared with existing protocols through simulations. The experimental results show that the proposed scheme outperformed the existing protocols in terms of First Node Dead (FND) and Last Node Dead (LND) in all of the scenarios.
Performance analysis on round trip available bandwidth estimation tools for wireless mesh network
Authors: Kamarudin I E , Ameedeen M A , Azmi Z R M , Ong M I U , Lokman A S 
Published: June 2020

Abstract
In wireless mesh network environment, available bandwidth (ABW) estimation is important to provide feedback on the quality of network infrastructure to end user. Recent study shows the emerging of Round Trip (RT) based ABW tools where it eliminates the need of having a receiver end. However, these tools are not fully tested in various network environment and benchmark with existing widely used ABW tools. In this paper, we perform an extensive performance analysis study on RT based tools with other widely used ABW tools by looking at the accuracy and consistency. In term of accuracy and consistency, RT based tools excel in these conditions.
Analysis of Mamdani Method To Increase The Level Of The Advantages Of Infrastructure Development For Optimal Network
Authors: Zendrato Niskarto , Zarlis M 
Published: June 2020

Abstract
Network infrastructure has an important role towards national economic development. According to data from the Director General Post and Telecommunication cellular users experienced a significant increase from year to year. Efforts to improve telecommunications services have several problems because there is a tower which disturbs the comfort of the surrounding community, location who violates the rules and BTS tower that does not have permission. Location selection perspective from government and operators have differences, while the infrastructure must in a strategic location to get results optimal for improving service. Therefore, there is a need for research to formulate criteria for tower construction locations according to the level to the required optimization the method used is Mamdani to determine factor in determining the location of the tower. Then after found a factor weighting of factors was done by Mamdani’s analysis. The last analysis is the formulation of criteria using Content Analysis. From the analysis 5 factors is electrical energy, the number of residents served, spatial palnning, tax cost and licensing process were generated used as a determining factor for the location of tower construction BTS (Base Transmitter Station) effectiveness.
Investigating the Barriers of Health Information System implementation in Malaysian Public Hospitals
Authors: Abd Razak Norsyaliza , Ithnin Norafida , Zamri Osman Mohd 
Published: June 2020

Abstract
The advent of information and communication technology (ICT) has shaped the world today. Due to the potential increase in technology, the introduction into the healthcare industry has been progressively investigated. In 1997, Malaysia introduced a health initiative called telehealth. However, progress in IT implementation is progressively slow. Although the global healthcare sector is increasing, the implementation of the Health Information System (HIS) in Malaysia has been slow-informed due to various barriers. These barriers are due to a series of problems related to end users and challenges for IT departments and vendors. This article therefore focuses on the current situation of HIS in selected Malaysian public hospital. In addition, an interview conducted with the end users, IT department and the system providers. The data from the interview was then converted into a summary of the table. In this context, the obstacles that delay the implementation of HIS in Malaysia have been identified primarily in terms of suppliers, financial, organizational and human aspects.
Preventive Self-Care Serious Games for Diabetes: A Game Design
Authors: Ihsan S N , Kadir T A A , Benedict R , Abdullah A R 
Published: June 2020

Abstract
Diabetes is a significant factor that contributes to obesity. In recent years, there has been an increasing number of patients, including adults and children diagnosis of diabetes. Extensive awareness has been carried out for educating people to prevent from diagnosed with diabetes such as sharing the information through electronic media, social media, forum by medical experts, and others. However, less implementation of awareness is given through entertainment computing, such as serious games to attract people to learn in a fun way. In order to overcome the problem, a serious game to prevent diabetes through awareness was developed, namely as Grab2BeHealthy to educate people in choosing healthy food. The primary purpose of this study is to design the game architecture for this serious game using SGDA framework. There are a few literature studies addressed on game design framework and the implementation of a serious game in the healthcare industry, especially for awareness and diseases prevention. The game design architecture was developed using game design framework as a guideline to meet the objective of prevention. The prototype development has been tested by 50 players to proof the game design architecture.
Requirement Prioritization Based on Non-Functional Requirement Classification Using Hierarchy AHP
Authors: Win Thant Z. , Mohamed Rozlina , Sallim Jamaludin 
Published: June 2020

Abstract
Requirement prioritization is a process in requirement engineering, which is a part of software development life cycle (SDLC). Requirement is prioritized due to constraints such as budget, time and resource allocation. Requirements of software is often classified as functional requirements (FR), and non-functional requirement (NFR). In order to produce a high-quality software, both requirement must be considered during requirement prioritization process. Various prioritization techniques have been invented, and Analytical Hierarchical Prioritization (AHP) is the most popular technique that has been cited. However, AHP does not support the NFR and unscalable. Meanwhile, Hierarchy-AHP has been introduced unto increase the scalability of AHP by using hierarchical requirements as input. Nevertheless, hierarchy-AHP does not meant for NFR and experimental result for increasing the scalability is not received significant attention. Thus, we intend to use NFR with large dataset on hierarchy-AHP. Aim of this paper is an exploration of hierarchy-AHP experimenting on RALIC dataset. Our major findings are: (i) NFR can be used hierarchy-AHP with minor process amendment, and (ii) hierarchy-AHP able to reduce pairwise comparison which is up to 97.33% for 403 number of requirements, compared to original AHP.
Analysis of energy consumption in a wireless sensor network using fuzzy memberships function
Authors: Isni Sofiah Wan Din Wan , Ramalingam Mritha , Abdullah Nuramera 
Published: June 2020

Abstract
The use of sensors in every application as well as in today’s life has become a huge demand. Since that, the public sphere is starting to move to mobile applications that are easy to access. For example, child monitoring at school, health monitoring, tracking system, fire detection and so on. Thus, the Wireless Sensor Network (WSN) is the preferred choice to meet these needs. However, despite the enthusiasm of building various applications using sensors, the WSN itself is still hampered by limited battery usage. Due to some applications that require long battery life, various types of research have been conducted to address this problem. One of these is the involvement of artificial intelligent (AI) in extending the life of a battery on a sensor. Fuzzy Logic (FL) is one of the preferred AI that have been chosen by researchers to be implemented with WSN especially to protract the lifetime of WSN. In Fuzzy Logic, there are three membership functions that need to investigate the capability of it towards the WSN applications. The proposed approach is by combining different types of Fuzzy Logic membership functions which are Triangular with Gaussian, Gaussian with Trapezoidal and Trapezoidal with Triangular to get the best results for analysing the use of sensor batteries. The parameters involved for the cluster head selection are communication cost, centrality and residual energy as Fuzzy inputs. This approach will use an existing algorithm which is Multi-Tier Algorithm (MAP) and this is a part of the MAP enhancement towards the WSN lifetime. The results will compare, discuss and analyst the number of dead nodes and energy usage of the sensor node during data transmission. In conclusion, through this approach, it able to prolong the lifetime for the sensor network since the proposed technique can reduce the energy usage of the sensor nodes.
Coinhive’s Monero Drive-by Crypto-jacking
Authors: Binti Abdul Aziz Azizah , Bin Ngah Syahrulanuar , Ti Dun Yau , Fui Bee Tan 
Published: June 2020

Abstract
This paper provides study of behaviour on a drive-by crypto-jacking, specifically Coinhive’s Monero. Crypto-jacking is a form of cyber threat where a host machine’s processing power hijacked thru infected website to solve cryptographic puzzles as an unwitting participant. The sample study share host machine and network behaviours when host visited websites that have been embedded with Coinhive’s Monero related script. These data collection of behaviour can be utilize to identify and detect Coinhive’s Monero mining activities in networks.
Cybersecurity Risk Assessment of the University of Northern Philippines using PRISM Approach
Authors: Irvin Lamarca Bryan 
Published: June 2020

Abstract
The University of Northern Philippines (UNP) rely on critical infrastructure systems to promote innovation and efficiency in fulfilling its core mandate - deliver quality education. Like any environment, UNP’s cyber environment is vulnerable to security risks which dampen the privacy and safety of stakeholders, the security of assets, and the confidentiality of business proceedings. To proactively address these and other potential risks, this study reviewed existing risk management frameworks used across governments and selected one to be utilized for improving organizational cyber policies and risk mitigation procedures and practices – PRISM, a model to identify and implement cybersecurity risk management tailored towards the problems and needs of the university. Results showed that at least half of the risk areas have poor preparedness level, stemming from the lack of institutionalization of knowledge and solutions, assessing unusual behavior, and proactive and enterprise risk management. Most risk areas seemed to be prioritized, had allocated resources, and has reactive risk management in place. GAP Analysis was also conducted in conjunction with the results of PRISM assessment to better steer the university in the right direction. The study concluded that PRISM is a tool that aided the university in laying down a formalized groundwork for cybersecurity.
An open cloud-based platform for the creation and delivery of smart applications and services
Authors: Fadhil Heba M. , Younis Mohamed I. , Alsewari AbdulRahman A. , Abd-Alrazzaq Mohammed , Toran Mahdi Ameer , Alomoush Alaa A. 
Published: June 2020

AbstractWith the increasing integration of computers and smartphones into our daily lives, in addition to the numerous benefits it offers over traditional paper-based methods of conducting affairs, it has become necessary to incorporate one of the most essential facilities into this integration; namely: colleges. The traditional approach for conducting affairs in colleges is mostly paper-based, which only increases time and workload and is relatively decentralized. This project provides educational and management services for the university environment, targeting the staff, the student body, and the lecturers, on two of the most used platforms: smartphones and reliable web applications by cloud hosting. The services include project management, attendance marking, various notifications and alerts, files and resources, a grading system, and an assignment management system. This paper also aims to ultimately digitalize most of the information inside the college which is a great challenge. The proposed system defines five actors, namely: an admin; who is the person with the highest authority within the system, the head of the department, the department coordinator, the project coordinator, the lecturers, and the students. Each of those actors has its privileges and the interaction among participants via the cloud. The mobile platform targets the students exclusively and interacts with the web platform. Finally, this paper stresses the benefits of the proposed system and gives the avenues for future development.
Region of Interest-based Tamper Detection and Lossless Recovery Watermarking Scheme on MRI and X-ray Medical Images
Authors: Ooi Jessie , Khor Hui-Liang , Liew Siau-Chuin 
Published: June 2020

Abstract
The advancement of the technology has introduced many applications that will ease human daily process and improve the way people connect to each other. One of the applications that has been introduced to the user and vastly improve our life is the healthcare system. Health care system allows the medical practitioner to aware of the patient’s previous health condition and documents their current. It also allows the medical practitioner to communicate with each other or get some advice from their peers and colleague even if they are far from each other physically. To ensure the authenticity of an image when it is transfer through the health care system, watermarking has been implemented. Through the process of watermarking the images, the authenticity of the images can be ensured. In this study, a ROI-based tamper detection and recovery watermarking scheme has been introduced. The proposed scheme has been tested out on the MRI and XA images. The PSNR value for MRI is 49.09 for the sequential mode and 49.07 in parallel mode. On the other hand, PSNR for XA images is 52.68 in the sequential mode and 52.68 in the parallel mode.
Reversible Watermarking Technique for Fingerprint authentication based on DCT
Authors: Lebcir Mohamed , Awang Suryanti , Benziane Ali 
Published: June 2020

Abstract
In this paper, a new reversible and blind fingerprint image watermarking technique based on the differential method and discrete cosine transform (DCT) domains is presented. The focus is to increase the security of the fingerprint image in authentication systems. Two DCT-transformed sub-vectors are employed to embed the bits of the watermark sequence in a differential scheme. The original sub-vectors are acquired by the DCT transform on the host fingerprint image. In the extraction process, a minor variance between the sub-vectors that correspond to the watermarked fingerprint image directly allows access to the embedded watermark sequence; therefore, the extraction process doesn’t require an original fingerprint. The original fingerprint image is then recovered from the watermarked fingerprint image based on the reversible watermarking technique. The similarity between the reversible fingerprint image and the original is considered, and we could extract minutiae points from it without a problem. The proposed technique is evaluated using 80 fingerprint images from 10 persons for each from FVC2002 fingerprint database. Eight fingerprint images have been taken from each person to be used as the template then the process was followed by embedding the watermark into each fingerprint image. The experimental results validate the proposed method able to give promising results in preserving the fingerprint image security.
Types of anti-phishing solutions for phishing attack
Authors: Hawa Apandi Siti , Sallim Jamaludin , Mohd Sidek Roslina 
Published: June 2020

Abstract
Nowadays, many people use Internet to do online activity. This scenario exposed them to danger in Internet which is phishing attack. In order to solve phishing attack, the anti-phishing solutions are needed. Based on our review, there are still lacks of articles that review on the types of anti-phishing solutions in detail. In this paper, a general idea of phishing attack and anti-phishing solutions is presented. The phishing attack can be classified into two categories which are social engineering and malware-based phishing attack. The anti-phishing solutions can be differentiating into two types which are phishing prevention and phishing detection. Compared to phishing prevention, the phishing detection is more important to solve the phishing attack. In phishing detection, there are two categories which are user awareness and software detection. The software detection has two methods which are traditional and automatic. There are two types for automatic method of software detection which are public phishing detection toolbars and academic phishing detection / classification schemes. Based on the comparison of all types of phishing detection, the academic phishing detection / classification schemes are more useful for phishing detection. For future work, we can do more research on the academic phishing detection / classification schemes that utilize deep learning to see its potential of accuracy to detect phishing websites.
A Survey on Current Malicious JavaScript Behavior of infected Web Content in Detection of Malicious Web pages
Authors: Nurulsafawati Wan Manan Wan , Nizam Mohmad Kahar Mohd , Mohd Ali Noorlin 
Published: June 2020

Abstract
In recent years, the advance growth of cybercrime has become an urgent issue to the security authorities. With the improvement of web technologies enable attackers to launch the web-based attacks and other malicious code easily without having prior expert knowledge. Recently, JavaScript has become the most common attack construction language as it is the primary browser scripting language which allow developer to develop sophisticated client-side interfaces for web application. This lead to the growth of malicious websites and as main platform for distributing malware or malicious script to the user’s computer when the user access to these webpages. Initial act and detection on such threats early in a timely manner is vital in order to reduce the damages which have caused billions of dollars lost every year. A number of approaches have been proposed to detect malicious web pages. However, the efficient detection of malicious web pages previously has generated many false alarm by the use of sophisticated obfuscation techniques in benign JavaScript code in web pages. Therefore, in this paper, a thoroughly survey and detailed understanding of malicious JavaScript code features will be provided, which have been collected from the web content. We conduct a thorough analysis and studies on the usage of different JavaScript features and JavaScript detection technique systematically and present the most important features of malicious threats in web pages. Then the analysis will be presented along with different dimensions (features representation, detection techniques analysis, and sample of malicious script).
Analysis of some indicators of environmental safety of buses with diesel engines (on the example of Moscow)
Authors: Boldin A P 
Published: June 2020

Abstract
The results of studies performed personally by the author and under his leadership on the current level of environmental safety of city buses of Russian-made ecological class Euro-4 (LiAZ-5292-21) and Euro-5 (LiAZ-5256-13 and LiAZ-529-22) according to the smoke level of the exhaust gases provided by GOST R 52160-2003, and not required in actual operation in terms of the content of nitrogen oxides NOX
in the exhaust gases of a diesel engine when operating at idle modes. Previous studies on passenger cars and light commercial vehicles with diesel engines (using the operating method developed by us) in accordance with UNECE rules 83.03 (based on urban driving cycles with the results of environmental pollution in g/km) showed an excess of NOX
emissions from 7 to 15 times, on the basis of which a simplified technology was developed to control the environmental safety of these vehicles by indicators of the content of CO2
and NOX
at idle for a conventional engine with a working m volume of 1 liter. This technique is appropriate to apply for a large vehicle mass, for which NOX
emissions at idle is much higher. This will provide operational control of environmental safety by NOX
and increased requirements for manufacturers. In a first approximation, the maximum permissible value of the NOX
content is justified – no more than 530 ppm. (For comparison, this indicator for cars is significantly lower – no more than 200 ppm). It was additionally established that for estimating CO2
greenhouse gas emissions it is enough (with an error of no more than 10 % to decrease) to use the general indicator of fuel economy – actual fuel consumption: at the same time per 1 kg of diesel fuel, gasoline, liquefied and compressed natural gas, used in operation, 1,500 g of CO2
will be accounted for (conversion to liters is carried out according to the energy density indicators). The studies were carried out as part of comprehensive work to improve the quality of technical servicing of cars, trucks and buses, conducted at the department “Operation of automobile transport and car service” MSARTU (Head of the Department of Doctor of Technical Sciences, Professor A.A. Solntsev).
Research of the influence of alternative fuels on diesel engine noise level
Authors: Iakovenko A L , Dunin A Y , Dushkin P V , Savastenko E A , Shatrov M G 
Published: June 2020

Abstract
One of the advantages of using alternative fuels in internal combustion engines is the possibility of reducing noise. The article presents the methodology and some results of the research of structure-borne noise of internal combustion engines related to the working process. The main characteristics of alternative fuels allowing reduction of the noise level by modifying parameters of the heat release law and reducing the pressure growth rate are analyzed. The results of calculated and experimental research of the diesel engine structure-borne noise during its operation on gas and mixed fuels are presented. The research showed that the greatest effect is achieved when converting diesel engine to spark ignition gas engine. For gas-diesel engines, noise reduction of the working process is much lower because a high compression ratio is preserved. The use of mixed fuel revealed a need to correct the injection advance angle to reduce the noise level.