Universiti Teknikal Malaysia Melaka: UTeM Open Journal System
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Studying The Collector Performance Of Updraft Solar Chimney Power Plant
Full text linkIn the shadow of increasing energy consumption, renewable energy is the best choicefor a sustainable environment. The solar chimney power plant (SCPP) is a new technology, many researchers are paying their attention to improve its performance. In this study, experimental and numerical studies were used to understand the effect of the collector geometry on the SCPP performance. The SCPP prototype under our investigation is installed in Aswan city, its chimney height is 20m, its diameter is 1 m and the collector is a square which has a side length of 28.5m. Three dimensional CFD simulations were made to calculate the temperature and velocity distribution inside two different shapes of SCPP collector. The conclusion is that the square shaped collector achieved higher output power than the circular collector by 7.6 % at the same surface area exposed to solar radiation
Performance analysis of Electromechanical and Smart meters under current and voltage harmonics
No full textOne of the important characteristics of energy meters is their accuracy. Due to the continuous increase of energy and especially electricity tariffs, consumers are looking for accurate meters that give the right measurement. However, the use of nonlinear loads leads to current and voltage harmonics production which presents the main cause of power losses, current and voltage distortion waveforms and measurement errors. In fact, this paper presents a comparative study of two types of energy meters which are Electromechanical and Smart Meter by giving the architecture and the accuracy of each meter and discussing the error sources coming from the meters itself. Moreover, it focuses on the effects of harmonics on the energy measurement and put attention on the importance of using an error function to estimate the error measurement value of the energy meter. Simulation results presents the behavior of the two types of meters under harmonics, give an error function using System Identification Toolbox which is a linear ARX model and finally, prove that Smart meters give less error and present better performance under distorted current and voltage waveforms than the electromechanical meter
Internet of Thing Based Automatic Temperature and Humidity Regulation Model for Oyster Mushroom Cultivation
No full textDigital communication technology between machine-to-machine grew quickly compared to the past years. Due to recent breakthroughs, it is easy to set up small devices which are capable to talk with each other perform automated tasks. Because of this reason, most of Internet of Things (IoT) can be used as a monitoring and automatic regulation model for any sector, namely agriculture. IoT can help the farmers, especially oyster mushroom cultivation to ensure proper mushrooms' growth. Oyster mushrooms require strict conditions to grow properly before harvest season starts. These strict requirements such as temperature and humidity are hard to monitor and regulate hourly, and farmers must check the cultivation one-by-one manually. Hence, IoT-based automatic temperature and humidity regulation model is expected to help farmers to maintain the current temperature and humidity hourly or even live situation of their cultivation. The purpose of this research is to develop an IoT-based automatic temperature and humidity regulation model to adjust oyster mushroom cultivations’ temperature and humidity using DHT22 digital sensor with a built-in tool such as pump and fan without human intervention
Assessment of the Resilience to Failure and Stochastic Modeling of Compressive Strengths of some Nigerian Grown Timber Species
No full textNatural materials such as timber, stone and many others as used in buildings and other structural systems are laden with uncertainties and often prone to risk of failure due to the inherent variability in their engineering properties. To assess the randomness in properties of typical Nigerian grown timbers and propose stochastic models for used in reliability based design of timber structures; six timber species were obtained and assessed in the laboratory. The timber species with respective local and scientific names of Abura (Mitragyna ciliata), Mahogany (Khaya senegalensis), White-Afara (Terminalia superba), Ire (Futumia ebrifu), Madobiya (Pterocarpus erinaceus) and Ayinre (Albizia lebbek), dried to average moisture content of 7.5% were employed for the study. Simple clear specimens of varied dimensions were prepared and tested under uni-axial compressive strength (oriented in parallel and perpendicular to the timber grains) and assessment of density and stiffness (modulus of elasticity) in accordance with BS EN 13183-1 (2002), BS EN 408 (1995) and BS EN 408 (2003) using the Cussons universal testing machine of 100 kN capacity at a loading rate of 0.17 mm/s were carried out. Results from the laboratory analysis were further used in proposing the stochastic model using a Matlab toolbox for statistical and simulation analysis where the best stochastic model (that with the least (kolmogorov-Smirnov (K-S) test) is adopted. These, alongside the assessed mode of failure for the timber species reported in the paper would help structural engineers in making informed decisions on the use of these timber materials in design of reliable and safe structures
Factors of Acceptance of Mobile Banking in Malaysia
Full text linkAs of now in the advanced world, mobile application and web-based computerized are quickly evolving. One of developing financial innovation is financial technology, especially in mobile banking. One emerging financial innovation is mobile banking service. The mobile banking services of Malaysia are now very much concerned with the importance of client perception and acceptance. This research aimed to study the determinants of customer acceptance towards using mobile banking services in Malaysia. There are five research objectives identified which were to analyzetheinfluenceofperceivedusefulness,to examine the influence of perceived ease of use, to determine the influence of perceived cost and to identify the influence of security on customer acceptance towards using mobile banking service in Malaysia. To study the determinants of customer acceptance towards using mobile banking service, the researcher selects the 384 customers as our sample framework. The researcher used correlation analysis and multiple regression analysis to analyses the data. The results depict that there is a significant relationship between perceived usefulness, perceived ease of use, security and perceived cost (independent variable) and the Customer Acceptance (dependent variable). The researcher recommended that future research could cover other areas in Malaysia and cover more specific customer acceptance and perception in mobile banking to provide more useful and accurate data for financial industries.Keywords—mobile banking; acceptance; ease of use; cost; usefulnes
Classification and Feature Selection Approaches for Cardiotocography by Machine Learning Techniques
Full text linkCardiotocography (CTG) is the commonly used tool to monitor fetal distress (hypoxia), other fetal risks such as fetal heart rate, and autonomous nervous system maturation. If not rectified in the early stages, these problems may lead to fetal death. Thus, it is important to know which selected features are necessary to predict the risk. The objective of this research is to carry out the classification model and feature selection on the derived dataset with R-based CARET and Python-based Scikit learn packages. Despite different analytical techniques used, it is observed that the nature of the tools may play a role in model classification on the given dataset. The classification accuracies of the dataset are found to be similar when compared with the UCI repository CTG dataset. The similar performance of accuracies has been noticed in the random forest and naive Bayes, and average accuracy with respect to complete features (R-based machine learning techniques). On the other hand, the selected features showed classification accuracies with similar performance in naïve Bayes, bagging and boosting (Pythonbased machine learning techniques). However, the study found that correlated features contributed to the increase of classification accuracy of complete features. The selected features show the accuracies similar to the complete dataset indicating as these features play a role in the prediction of CTG data
Pervasive Service Discovery Implementation Using UDP Protocol on Raspberry Pi and MyRIO
Full text linkSmart home environment is an environment by which there are equipments that should be able to communicate each other and can be monitored or controlled remotely through the internet. Nowadays, it still requires complex configuration to achieve those requirements. Pervasive computing is a method which facilitate humans to ease configuring the devices. Based on previous researches that designed and tested the Pervasive system using UDP and LabVIEW on Personal Computer (PC), this research focused on implementing it on embedded systems which is Raspberry Pi 3 as host and NI MyRIOs as clients. UDP protocol is used because it has lightweight attribute and does not require large memory. Several experiments have been done such as measuring discovery time for each 86.62 bytes of data. Discovery time on the host is 56,417ms, while the discovery on the client is 251.067ms. Therefore, the whole discovery process is 313,417ms. Whereas if the host fails, the time which client needs to reconnect is 10384,23ms. On sending data testing between host and client, the average data being send is 86,3bytes, data transmission sensor takes 58.26ms, LED control takes 5350,926ms, and for push button takes 255,67ms
Development of Planar, Shape-changing Rigid Body Segmentation Process for General Design Profiles
Full text linkThis work describes the early segmentation results in the progress of a mechanism design process to produce simple planar machines that could approximate a shape change defined by a set of curves with significant differences in arc length. The design profiles vary from one another by a combination of rigid-body displacement and shape change that includes significant differences in arc length. Where previous rigid-body shape-change work focused on mechanisms composed of rigid links and revolute joints to approximate curves of roughly equal arc length, this work introduces prismatic joints into the mechanisms in order to produce the different desired arc lengths. The first step is to convert the design profiles into piecewise linear curves, referred to as target profiles. The piecewise linear representation that proves most useful has points identified along the curve at roughly equal distances. The second step is to compare segments of the target profiles seeking those that are best approximated by a common rigid body and those that share curvature similarities allowing for the introduction of a prismatic joint. In the end, a chain of rigid bodies that are joined by pin and prismatic joints can be produced. The chain can closely estimate the shape of a set of design profiles
Application of AHP on SMED for Jig and Fixture Design Selection
Full text linkThe purpose of this paper is to discuss the application of AHP as decision-making tool in determining best design model. Three design models had been developed were based on SMED concept which significant with small manufacturing enterprise jig and fixtures engineering project. For analysis, 10 design requirements were considered and used in AHP analysis. The result shows that there are four parameters were agreed as critical measures including gripping, ease of assembly, ease of cleaning and go-no-go inspection, meanwhile easy maintenance was less important for SMED product
Does Government Expenditure in Education Cause Economic Growth: ASEAN-5 Perspective
Full text linkDebates on linkages between education expenditure and economic growth have gained attention from economists, especially based on Wagner Law. Education expenditure is listed as a government public expenditure with the highest accumulation in yearly budget for ASEAN-5, which includes Malaysia, Indonesia, the Philippines, Singapore and Thailand. This empirical study aimed to examine the relation between education expenditure and economic growth in ASEAN-5 over the 2000-2018 periods. To achieve the objective, it was more appropriate to examine the estimation model was. With regard to the fixed effects model, there was no relation between education expenditure and economic growth. Furthermore, the analysis has proved that labour force and capital accumulation were important variables which influence economic growth