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Insider threats: profiling potential malicious attacks, severity and impact
No full textThe insider threat that organizations and cooperation face today is a real and serious issue that has become increasingly difficult to address as time has passed. More complex approaches must be researched and developed for reliable recognition, detection, and response to insider threats. One way to achieve this is by identifying and classifying diverse viewpoints of insider threats. Various studies focused on comprehending and mitigating insider threats by developing different taxonomies and terminologies relating to insiders, insider threats, and insider attacks. However, few are concerned about the severity and impact of insider threats to an organization. Therefore, this paper proposes a taxonomy for profiling potential malicious attacks, highlighting severity to determine the impact of insider threats and the prioritization of vulnerability remediation activities
Enhanced Taguchi's T-method using angle modulated Bat algorithm for prediction
Get PDFAnalysis of multivariate historical information in predicting future state or unknown outcomes is the core function of Taguchi’s T-method. Introduced by Dr. Genichi Taguchi under Mahalanobis-Taguchi system, the T-method combines regression principle and robust quality engineering element in formulating a predictive model and employs taguchi’s orthogonal array design in optimizing the model through feature or variable selection process. There is a concern regarding the sub-optimality of the T-method prediction accuracy, particularly when the orthogonal array failed to offer a significant number of combinations in search for an optimal subset of features. This is due to the fixed and limited combination offered for evaluation as well as the lack of higher-order interaction of combination. In response to this issue, this paper proposed an angle modulated Bat algorithm to be integrated with the T-method in optimizing the prediction model. A comparison study was conducted using energy efficiency benchmark datasets with the mean absolute error metric used as the performance measure. The results show that the proposed method improved the prediction accuracy by 10.74%, from 6.05 to 5.4, by integrating only four features over the original eight in the prediction model
Analysis of space optimization of three-dimensional container loading problem
No full textThe container loading problem (CLP) has been studied for maximising container space utilization as a method of lowering costs and increasing supply chain efficiency. This paper presents an approach to the CLP, in which a container is to be filled with a selection of cargoes from an available set so that the volume utilization of the container is maximized. By minimizing the outer volume of all the cargoes placed, tight arrangement of the cargoes can be achieved. Genetic algorithm (GA) with adaptive chromosome length formation has been used to find the optimum solution for the arranged cargoes to be placed with minimum space utilization. Two experiments have been conducted, to simulate the space optimization with fixed and unfixed number of cargoes. Our findings show that the GA with adaptive chromosome length proposes better arrangements of cargoes to give optimum space utilization for the container with 93.4% fitness difference percentage than the first generation’s fitness value
Classification of domestic electrical appliances based on starting transient using artificial intelligence methods
No full textWith the rising implementation of Home Energy Management Systems (HEMS), active studies had been done relative to power monitoring alternatives. Load monitoring is an essential block of HEMS, therefore, the improvement of simplicity and convenience in load monitoring is crucial for the HEMS market expansion. This paper proposes the use of Artificial Neural Network models for the classification of common electrical appliances based on the extracted distinctive current starting transient features of electrical appliances. This research’s main challenges are: conducting reliable instrumentation practice with an appropriate choice of instruments, extracting distinctive features in the current transient, and analyzing the ANN classifier for good performance using artificial intelligence methods. The analysis would compare the performance of time-domain inputs and frequency-domain inputs to the ANN classifier. By selecting appropriate frequency-domain features as input to the ANN classifier, it was shown that up to 86% classification accuracy could be obtained using the proposed method, justifying our hypothesis that multiple non-intrusive load monitoring using a single sensor is indeed plausible
Denoising of impulse noise using partition-supported median, interpolation and DWT in dental X-ray images
Get PDFThe impulse noise often damages the human dental X-Ray images, leading to improper dental diagnosis. Hence, impulse noise removal in dental images is essential for a better subjective evaluation of human teeth. The existing denoising methods suffer from less restoration performance and less capacity to handle massive noise levels. This method suggests a novel denoising scheme called "Noise removal using Partition supported Median, Interpolation, and Discrete Wavelet Transform (NRPMID)" to address these issues. To effectively reduce the salt and pepper noise up to a range of 98.3 percent noise corruption, this method is applied over the surface of dental X-ray images based on techniques like mean filter, median filter, Bi-linear interpolation, Bi-Cubic interpolation, Lanczos interpolation, and Discrete Wavelet Transform (DWT). In terms of PSNR, IEF, and other metrics, the proposed noise removal algorithm greatly enhances the quality of dental X-ray images
Design of oil water separator for the removal of hydrocarbon from stormwater contaminated with jet-fuel
Get PDFThe airport, in general, has a huge catchment area and a hardstand area that includes runways, taxiways, as well as parking aprons. Therefore, these areas are expected to produce a huge volume of stormwater. Besides this problem, the jet fuel and suspended solids contaminate the stormwater flow rate; hence, much consideration should be given in designing the treatment system to ensure that there is no back-flow expected during the high stormwater production to avoid any flooding occurrences in the airports. Currently, the stormwater treatment system in the Malaysian airport is minimal, and there is no specific treatment for the stormwater contaminated with jet fuel in Malaysia. In this paper, an oil-water separator named Corrugated Plate Interceptor (CPI) was explored to treat stormwater contaminated with jet fuel in the airport. Treating the airport stormwater contaminated with oil, grease, or jet fuel could significantly reduce the contamination issue and develop an environmentally friendly airport in Malaysia. The CPI has combs of plates arranged in packs, and this creates the surface areas for the removal reaction of jet fuel and suspended solids between the incoming contaminated stormwater and the plates. Accordingly, in this paper, the design and development of CPI were discussed, particularly on the design criteria for the oil-water separator, standardized tank dimensions, oil storage capacity in the tank, sludge storage capacity in the tank, and finalized plate packs
Numerical investigation of the power performance of the vertical-axis wind turbine with endplates
Get PDFAn H-rotor vertical axis wind turbine (VAWTs) can operate independently in any wind direction, making it aerodynamically efficient and suitable to harness wind energy in low wind speed areas. The aerodynamic efficiency of VAWTs is highly dependent on the blade geometry, especially the blade tip. Tip vortices produced at the blade tips can negatively affect the VAWT’s aerodynamic efficiency. Adding endplates to the blade tips can minimize the effects of tip vortices on VAWTs. In this paper, several endplate designs are used to evaluate the effectiveness in improving the power coefficient, Cp of a VAWT at three different tip speed ratios (TSRs) using three-dimensional computational fluid dynamics (3D CFD) simulation. The power coefficients of VAWTs with endplates are compared with the baseline model with the same geometrical parameters where the baseline VAWT model is based on the experimental model from the literature. Since the focus of this study is on the blade tip design, a simplified 3D VAWT model is used where the supporting shaft and arms of the VAWT are excluded to reduce the needed computational capacity. Among the various endplate designs used in this study, the semi-circular inward endplate (ED3) with a diameter equivalent to 1.2 blade chord length showed the best improvement in the Cp which is by 7.45%, and 5.79% for at the TSRs of 2.19 and 2.58, respectively. The pressure difference on both sides of the blade was also examined. The results revealed that the endplate can prevent the flow from bypassing the blade tip, hence, preventing the occurrence of tip vortices while improving the aerodynamic efficiency near the blade tip, ultimately, improving the overall Cp of a VAWT
A brief review of computation techniques for ECG signal analysis
No full textAutomatic detection of life-threatening cardiac arrhythmias has been a subject of interest for many decades. The automatic ECG signal analysis methods are mainly aiming for the interpretation of long-term ECG recordings. In fact, the experienced cardiologists perform the ECG analysis using a strip of ECG graph paper in an event-by-event manner. This manual interpretation becomes more difficult, time-consuming, and more tedious when dealing with long-term ECG recordings. Rather, an automatic computerized ECG analysis system will provide valuable assistance to the cardiologists to deliver fast or remote medical advice and diagnosis to the patient. However, achieving accurate automated arrhythmia diagnosis is a challenging task that has to account for all the ECG characteristics and processing steps. Detecting the P wave, QRS complex, and T wave is crucial to perform automatic analysis of EEG signals. Most of the research in this area uses the QRS complex as it is the easiest symbol to detect in the first stage. The QRS complex represents ventricular depolarization and consists of three consequences waves. However, the main challenge in any algorithm design is the large variation of QRS, P, and T waveform, leading to failure for each method. The QRS complex may only occupy R waves QR (no R), QR (no S), S (no Q), or RSR, depending on the ECG lead. Variations from the normal electrical patterns can indicate damage to the heart, and these variations are manifested as heart attack or heart disease. This paper will discuss the most recent and relevant methods related to each sub-stage, maintaining the related literature to the scope of ECG research
TVET skills gap analysis in electrical and electronic industry: perspectives from academicians and industry players
Get PDFSkills mismatch or skill gap is a long-standing issue whereby the levels and types of the existing skills do not meet the needs of the job market. With no exception, this issue also become one of the challenges that facing by Technical and Vocational Education and Training (TVET). If this issue prolongs, it will lead to graduate unemployment, specifically in TVET. Therefore, this study aims to identify the occupational skills (including both soft and hard skills) that are perceived as important by those in public Higher Education Institutions (HEI) and the electrical and electronic (E&E) industry which represent the manufacturing industry. A total of 58 academicians from public HEI and 55 industry players from the E&E industry in Malaysia were chosen purposively. These academicians and industry players were selected as they are having experience in occupational skill and training in their respective institutions and industries. Questionnaires were distributed online to these targeted respondents. The results revealed that there are skills gaps in terms of both soft and hard skills, which all skills are skills related to the career in E&E industry. The outcomes of this study should enable the Ministry of Higher Education, mainly in TVET to devise strategies to improve graduate employability. They might also serve as additional evidence for the occurrence of skills mismatch
How far the stock market performance influence Malaysia’s consumer purchasing power?
No full textThis study examined the asymmetric effect of stock market index performance on the external competitiveness of purchasing power for Malaysia covering the period of 1996–2019 utilizing the Ender and Siklos (2001) and the threshold vector error correction model (TVECM) approaches. The empirical findings confirmed an existing of asymmetric effect between stock market index and the external competitiveness purchasing power in Malaysia cases. There is evidence of negative relationship between both series with a bidirectional asymmetric causality relationship. Therefore, policymakers should give more attention of stock market performance to strengthen the current and future monetary policies related to consumer’s purchasing power agenda in Malaysia and consider the current global economic uncertainty caused by the COVID-19 pandemic worldwide