bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of Numerical Trigeneration System Cascade Analysis with Transmission and Storage Energy Losses Consideration
Authors: Jamaluddin K , Wan Alwi S R , Abdul Manan Z , Hamzah K , Klemeš J J 
Published: July 2020

Abstract
Depletion and rising prices of fossil fuel, as well as environmental pollution, have led the world to find energy-efficient technologies such as improvement of efficiency of the current energy systems. The thermal efficiency of the current systems can be improved from 30 – 40 % to 80 – 90% through implementation of trigeneration system. Trigeneration is a system which can improve the efficiency of the current energy systems by reusing the waste heat to produce power, heating and cooling from a single fuel. Pinch Analysis is a methodology which enables users to optimize the energy, water and other resources. Trigeneration System Cascade Analysis (TriGenSCA) is developed to minimize power, heating and cooling energies as well as obtain optimal sizing of the trigeneration system. In the previous TriGenSCA, transmission energy losses which contribute significantly to the final amount of energy arrived at the demand was not considered. This leads to an optimistic target for energy reduction. The objective of this work is to develop an extension of numerical insight-based Pinch Analysis methodology for optimal trigeneration system which considers energy losses in the transmission lines and storage systems. There are three major steps on developing TriGenSCA, which are data extraction, construction of TriGenSCA with transmission and storage energy losses, and comparison of TriGenSCA with and without transmission energy losses consideration. The transmission energy losses are included in the TriGenSCA where energy depleted due to the transportation of energy from the trigeneration system to the demand load, separated by 10 km of distances. Aluminium cable steel, carbon and stainless steel pipelines are used to transfer power and thermal energies to the demands. Based on the case study, the energy difference of TriGenSCA with and without transmission energy losses is 76.83 MWh/d. This shows huge energy is lost due to the transmission process. The development of this systematic methodology can give benefits to engineers, designers and power plant managers in order to determine the exact value of utility and thus, perform the optimal design of a trigeneration system.
Effects of the intensity of design live load on the seismic design modification factors of reinforced concrete frames
Authors: Alih S C , Vafaei M , Alhariri M , Ghanim I 
Published: July 2020

Abstract
Seismic design modification factors that include the response modification factor (R), the overstrength factor (Ω), and the displacement amplification factor (Cd) play a significant role in the seismic design of structures. The recommended values for these factors in seismic design codes are empirical and do not account for the differences in the intensity of the design live load in structures. This study investigates the change in the value of these factors as a result of the change in the intensity of the design live load. For this purpose, eighteen reinforced concrete frames with the different number of stories and ductility classes were designed and analyzed. Nonlinear static analysis was used to calculate the capacity curve of frames and their seismic response modification factors. Results indicated that the values of Ω and Cd for both low and high-ductile reinforced concrete frames decreased slightly as the intensity of design live load increased. An increase in the intensity of the design live load increased the R-factor in the high-ductile RC frames.
Multi-pollutant approach to model contaminants flow in surface and groundwater: A review
Authors: Wali S U , Alias N 
Published: July 2020

Abstract
Pollution of surface and groundwater is largely caused by anthropogenic activities and the natural geogenic processes. Most of the contaminants in surface and groundwater have a common origin. The aim of this review is to highlight the importance of multi-approach modeling of pollutants which is required for various reasons, owing to the availability of different types and sources of water pollutants. We attempted a systematic review to assess the current progress in modeling water pollution using multi-approach methods. Results showed that (9) out of the eleven (11) chosen studies have applied some forms of multi-approach modeling methods to examine pollutants in surface and groundwater. Results also suggest that there is an increased concern on understanding how pollutants are transported from sources to surface water and how impurities are transported to groundwater aquifers by infiltering surface flows. A major limitation of water quality models is that models assumed a uniform environmental setting and can simulate contaminants only in the gas and aqueous states. The rationality of contaminant modeling using multi-pollutant approaches is mostly problematical to validate because suitable field data is wanting for comparison. Therefore, the model output must be scrutinized within the context of the uncertainty of the model inputs, data limitations and consistently essential application of established standards from the literature.
Relationship Between Delay, Accepted Gap and Circulating Flow at Roundabout
Authors: Azhari S F , Hassan S A , Puan O C 
Published: July 2020

Abstract
Capacity and delay are critical parameters to evaluate roundabout performance. This paper is attempted to investigate the influence of circulating traffic flow and gap acceptance on roundabout delay. All the data related to the analysis were gathered at a three-leg roundabout located at Kulai in Johor using video camera technique. The data were analyzed using a regression analysis technique:simple regression and multi-linear regression. The simple regression results show there is an exponential relationship between the delay and circulating flow and a power relationship between the accepted gap and delay as well as between accepted gap and circulating flow. The result of the multi regression between the delay, circulating flow and accepted gap gives high R-value. Despite the high R-value, the p-value of the circulating flow and accepted gap were found higher than 0.05 at 95% confident level; due to the high correlation between circulating gap and the accepted gap. This result can be used as a basis in developing a delay model for the roundabout in Malaysia, taking into account the influence of the drivers’ behavior
Robust Watermarking Techniques against Compression Attack
Authors: Jeffry Mohd Aliff Faiz , Mammi Hazinah Kutty 
Published: July 2020

Abstract
Digital watermarking is a way to protect digital images from malicious attacks. Compression attack is one of the most common attacks on images uploaded to social media. Social media, such as Facebook and Twitter, have implemented a compression method for all types of media before being successfully uploaded to their server. It is designed to reduce the network bandwidth and storage needed to store each media on their server. However, the compression method used tends to tarnish the image properties of the image itself, which can be used to identify the image itself. This causes another problem, namely ownership and copyright issues. The use of digital watermarks was therefore proposed for this research to avoid the problem identified. The selected digital watermarking techniques, which are DCT-based Pyramid Transform (DCTPT), Two-Step Sudoku Method using LSB (TSSLSB), Semi-fragile Spatial Watermarking based on Local Binary Pattern Operator (SSWLBP) and Hybrid Schur and Singular Value Decomposition (HSSVD), theoretically must be able to withstand compression attacks by social media. These techniques have been simulated using the default MATLAB image dataset, but the use of photos taken by smartphones is a must for us to obtain useful metadata for real-world implementations. Some comprehensive analyses of the watermarking algorithms were done, and the findings were recorded in this paper.
Feature selection for malicious android applications using Symmetrical Uncert Attribute Eval method
Authors: al-kaaf H , Ali A , Shamsuddin S , Hassan S 
Published: July 2020

Abstract
The fast growth of tablets, smartphones has led to increase the usage of mobile applications. The Android apps have more popularity, however, the applications downloaded from third-party markets could be malware that may threaten the users’ privacy. Several works used techniques to detect normal apps from malicious apps based on mining requested permissions. However, there are some set of permissions that can occur in benign and malignant applications. Redundant features could reduce the detection rate and increase the false positive rate. In this paper, we have proposed feature selection methods to identify clean and malicious applications based on selecting a set combination of permission patterns using different classification algorithms such as sequential minimal optimization (SMO), decision Tree (J48) and Naive Bayes. The experimental results show that sequential minimal optimization (SMO) combining with SymmetricalUncertAttributeEval method achieved the highest accuracy rate of 0.88, with lowest false positive rate of 0.085 and highest precision of 0.910. And the findings prove that feature selection methods enhanced the result of classification.
Strategies to Integrate Design Process into TVET in Conducting Final Year Project
Authors: Hanafiah Khairul Anwar , Daud Mohd Fadzil Mohd , Taib Jamaludin Mohd , Dzakaria Afandi , Rahim Rabiatul Adibah Abdul , Rais Hasni , Basiran Zaim , Rahim Norisham A 
Published: July 2020

Abstract
Ministry of Education (MOE) has imposed the final year project as a design-based project and the requirement to graduate with vocational diploma. Guideline for final year project becomes the basis to conduct the project executed based on Final Year Project I and II course. To have an effective and standardized teaching and learning (T&L) environment, design process should be implemented in technical and vocational education and training (TVET). Therefore, this paper proposes the strategies to integrate the design process in supervising, report writing, and assessing the final year project complying with the MOE guideline. The design process becomes the backbone due to its capability to sequence the design activities, integrate the various knowledge, and enhance the creativity towards the selection of the final design from a range of designs with their respective conflicting issues. The strategies include integration of the design process into the supervision, report writing, and assessing the course. These strategies will be implemented through workshop, feedback and student activities. Kolej Vokasional Kota Tinggi (KVKT) is selected to be the case study.
Mini-Review on Technology in Safety Training Delivery
Authors: Mohd Norhazren Izatie , Ariffin Hamizah Liyana Tajul , Nordin Muhammad Yusuf , Ramly Zuhaili Mohamad , Dzahir Mohd Azwarie Mat , Omar Siti Rahmah , Asmawii Mohammad Fahrulradzi 
Published: July 2020

Abstract
The construction site is in a constant state of fluidity. This constant change presents challenges for construction players who must be able to foresee hazardous conditions before they cause injuries or fatalities on the construction site. Nowadays, technology continuously improves the way the construction industry works. In line with the industrial revolution, technology evolution will improve the effectiveness of construction industry operation. Embracing technologies would benefits inefficiencies, diminishing cost and improve health and safety levels. Therefore, this paper sought to review the technologies that can be implemented in training delivery, especially for safety training. A systematic literature review has been conducted to determine suitable technology in assisting safety training. Based on the deductive content analysis, there are three types of technologies that can be used as an approach in training delivery. The findings of the study prevail which technology particularly will create digitally. It seems that this application of technology can provide a better approach to assess potential problems such as risks on the construction site. These technologies can be adapted to become a training module in order to enhance the productivity and minimise the occurrence of accidents in Malaysia construction industry.
Advances of Solar PV System Output Improvement through Cooling Technologies in Malaysia
Authors: Elias M A , Jais R M , Muda N , Hassan N E H 
Published: July 2020

Abstract
Solar photovoltaic (PV) panel is the most widely used renewable energy technology in Malaysia due to constant irradiation throughout the year as the country is located near the equator. According to the current state of the Malaysian weather, the ambient temperature is around 25°C and can go up to 30°C. The electrical efficiency of a PV panel is sensitive towards temperature where it is known that the power and efficiency decrease at the rate of ±0.5%/°C and ±0.05%/°C respectively as the ambient temperature increases [1]. This paper discusses the cooling of solar PV technologies, the methodologies of the cooling system and its effectiveness. Generally, the effectiveness of the studies conducted were derived from the solar PV panel temperature reduction and solar PV electricity power output increment. This paper elaborates the trend of methodologies for cooling of solar PV in Malaysian climate. The methodologies that were used by the researchers vary according to the specific objectives which can be categorized as active cooling and/or passive cooling. The gaps of the studies were also identified alongside with the possible solutions to mitigate the problems.
Blockchain-based Internet of Thing for Smart River Monitoring System
Authors: Tajudin M K , Sarijari M A , Ibrahim A K M , Rashid R A 
Published: July 2020

Abstract
The river plays an important role in the source of water in Malaysia as it is a part of the water cycle while acting as a drainage channel for surface water. One of the major threats to its sustainability is water pollution. The conventional methods for monitoring the water quality in the river are manual and continuous monitoring that will be costly and less efficient. Hence, this paper proposes the Internet of Things (IoT) as a promising technique that can provide real-time monitoring and enhances the efficiency of data collection. To make the data secure and trustworthy, blockchain technology will be used as a platform for all the data transaction in real time. The proposed system will provide a better solution to monitor the quality of the river and for the user to interact, retrieve and analyse real and historical data.
Development of an Onboard and Wireless Data Telemetry Systems for Electric Vehicle
Authors: Sundralingam K , Abu Bakar S.A , Said M.F.M. , Muralitharan M. 
Published: July 2020

Abstract
This research aims to design and develop a data monitoring and acquisition system of an onboard and wireless data telemetry system for electric vehicle. The scopes of this research are sensor integrations (6DOF IMU sensor and voltage sensor), creating a Graphical User Interface (GUI) for onboard monitoring system, conducting tests on data acquired by systems and connection’s durability testing for the developed systems. The onboard system consists of Arduino Uno, sensors, a serial communication module, LCD display and a memory card which is fitted onto RC car for data recording. The data is transmitted to the wireless system via radio frequency through the serial communication module. The wireless system consisting of Arduino Uno and a serial communication module are connected to a laptop. The data collected from both systems are compared to ensure minimal data losses. It is found that there are no data losses between the data transmitted and received. As an outcome from this research, a telemetry system has been developed to be used on RC cars.
The effect of different motor constants to an commercial propeller
Authors: Wahid M Ab , Asmi A N , Othman N , Ardani M I , Zain M Z Md , Mansor S 
Published: July 2020

Abstract
This paper discussed the performance of a propeller with different motor constants such as the speed constants and motor resistance. The performance that was compared are the thrust, torque and total efficiency. There are many motors developed by the manufacturer, but the datasheet given are not complete and lack the information such as rotational speed and torque. This information is useful for designers and hobbyists to size their UAV or multicopter. In the market, there are many types of motors that make it difficult to choose the best motor. This research will perform analysis from the datasheet obtained from the manufacturer to see the effects of different motors to the propeller performance. It was gathered that for lower Kv
such as KV980, it is better when higher torque than thrust is required. But for motor with speed constant above 1250 to 1400, the choice of motor will not have significant effect on the propeller performance. However, when size increase with higher Kv
(more than 1400) the efficiency will drop.
Black Box Modelling and Simulating the Dynamic Indoor Relative Humidity of a Laboratory Using Autoregressive–moving-average (ARMA) Model
Authors: Hussein S F M , Mohd Fitri Alif M K , Al Rabeei A O , Faruq A , Zulkapli S M , Noorazizi M S , Zaki S A , Abdullah S S 
Published: July 2020

Abstract
Modelling and simulation of the dynamic indoor relative humidity behaviour of a building is essential to test any proposed thermal comfort controller and strategy in the building. Like other plants, the dynamic indoor relative humidity behaviour of a building can be developed based on the white box model, black box model, and grey box model. This research focuses on the usage of autoregressive–moving-average (ARMA) model, a type of black box model to represent the dynamic indoor relative humidity behaviour of Industrial Instrumentation Laboratory at Malaysia-Japan International Institute of Technology (MJIIT), UniversitiTeknologi Malaysia (UTM) Kuala Lumpur and uses the real recorded data from the laboratory and minimal knowledge regarding the physical characteristics of the humidity behaviour in the laboratory. The performance of the ARMA model developed in this research is compared with the real recorded data from the laboratory. Result obtained shows that the ARMA model is enough for modelling and simulating the dynamic indoor relative humidity behaviour of the laboratory
The Effect of Flow Variations to Vibration Tendency in A Hydraulic Manifold
Authors: Ali Norazhar , Osman Kahar , Zawawi Fazila Mohd , Yazid Muhammad Noor Afiq Witri Muhammad 
Published: July 2020

Abstract
A hydraulic manifold is an important component in hydraulic machinery to convey hydraulic oil under high pressure into hydraulic tube and hose for cleaning purpose. Due to high pressure during operation, the process induces vibration and leakage can occur at the exit ports of hydraulic manifold. The aim of this study is to determine the effects of pressure and velocity variations in hydraulic manifold with respect to vibration tendency. In this study, computational fluid dynamics (CFD) is used to simulate the hydraulic manifold fluid behaviours, under various operating conditions. The result shows that fluctuations in pressure and velocity occurs at each branch in a mainstream due to changes of the area and geometrical shape. We also observed surge of pressure but reduction in velocity at each branch. Overall, the results show the most affected areas are those near the inlet. Areas further downstream are not significantly changed by the increments.
Numerical Investigation of Beta Ratio and Reynolds Number Effect on Coefficient of Discharge of Venturimeter
Authors: Kaladgi Abdul Razak , Mukhtar Arafat , Afzal Asif , Kareemullah Mohammed , Ramis M K 
Published: July 2020

Abstract
The present work is intended to give information on the construction and performance of the venturimeter. It also indicates the need for more effective utilization of venturimeter and offers a conceptual design of a venturimeter for determining the flow rate of a fluid flowing through the pipe. The experiment was conducted with three different Beta ratios (β) of 0.3, 0.5, and 0.7 installed in a pipe of 2.54cm diameter with water as a working fluid. The study mainly focused on the effects of beta ratio and Reynolds number on coefficient of discharge. A two-dimensional model of venturimeter with different Beta ratios (β) was also created to do simulation & compare the numerical results with the experiments and to further explore the capability of the CFD code Ansys Fluent© to visualize the flow patterns in the venturimeter, recognize eddies and wake regions at diverging part and to plot and compare velocity profiles and pressure distribution at selected zones in the venturimeter. It was seen that the change in beta ratio and Reynolds number has considerable impact on Coefficient of discharge.
Mechanisms of Alcohol Addiction: Bridging Human and Animal Studies
Authors: Kramer John , Dick Danielle M , King Andrea , Ray Lara A , Sher Kenneth J , Vena Ashley , Vendruscolo Leandro F , Acion Laura 
Published: July 2020

Abstract

Aim
The purpose of this brief narrative review is to address the complexities and benefits of extending animal alcohol addiction research to the human domain, emphasizing Allostasis and Incentive Sensitization, two models that inform many pre-clinical and clinical studies.

Methods
The work reviewed includes a range of approaches, including: a) animal and human studies that target the biology of craving and compulsive consumption; b) human investigations that utilize alcohol self-administration and alcohol challenge paradigms, in some cases across 10 years; c) questionnaires that document changes in the positive and negative reinforcing effects of alcohol with increasing severity of addiction; and d) genomic structural equation modeling based on data from animal and human studies.

Results
Several general themes emerge from specific study findings. First, positive reinforcement is characteristic of early stage addiction and sometimes diminishes with increasing severity, consistent with both Allostasis and Incentive Sensitization. Second, evidence is less consistent for the predominance of negative reinforcement in later stages of addiction, a key tenant of Allostasis. Finally, there are important individual differences in motivation to drink at a given point in time as well as person-specific change patterns across time.

Conclusions
Key constructs of addiction, like stage and reinforcement, are by necessity operationalized differently in animal and human studies. Similarly, testing the validity of addiction models requires different strategies by the two research domains. Although such differences are challenging, they are not insurmountable, and there is much to be gained in understanding and treating addiction by combining pre-clinical and clinical approaches.