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Keyword: EffectTypes and Concentrations of Catalysts in Chemical Glycerolysis for the Production of Monoacylglycerols and Diacylglycerols
Monoacylglycerol (MAG) and diacylglycerol (DAG) are structured lipids that have been widely used in various pharmaceutical, cosmetic, and food industries. MAG and DAG are generally produced by chemical glycerolysis. Chemical catalysts have been shown to be more efficient, economical, and effective. This study summarizes and discusses the factors that affect the synthesis of MAG and…
Read MoreDevelopment of an IoT Platform for Stress-Free Monitoring of Cattle Productivity in Precision Animal Husbandry
Smart animal husbandries require the adoption of dedicated tools to assess the contribution of each animal to the production process. The IoT platform presented in this article is a real-team monitoring system for voluntary weighing of cattle. To this end, the ISO 18000-6 standard is used for animal identification through an ultra-high-frequency radio link between…
Read MoreDevelopment of Hexa Spacer Damper for 765 kV Transmission Lines’ Vibration Damping
In this paper, hexa spacer damper is proposed and its vibration damping effect on the 765 kV power transmission network under the influence of fluctuating wind (10-60 Hz) loading is validated. This asymmetrical loadings led the bundle of Zebra ACSR conductor to be twisted and hence, cause mechanical and electrical instabilities across the span length.…
Read MoreTechnological Stages of Schwartz Cylinder’s Computer and Mathematics Design using Intelligent System Support
In this paper, one of the “problem zones” in mathematics concerned with the surface area of three-dimensional bodies is presented by computer and mathematical modeling with synergetic effects using intelligent system support. The problems of personal self-organization and technological stages of student’s research activity in the process of modern achievements in science adaptation in teaching…
Read MoreDeep Learning based Models for Solar Energy Prediction
Solar energy becomes widely used in the global power grid. Therefore, enhancing the accuracy of solar energy predictions is essential for the efficient planning, managing and operating of power systems. To minimize the negatives impacts of photovoltaics on electricity and energy systems, an approach to highly accurate and advanced forecasting is urgently needed. In this…
Read MoreMathematical Modelling of Output Responses and Performance Variations of an Education System due to Changes in Input Parameters
“This paper is an extension of work originally presented in the 4th International Conference on Systems of Collaboration, Big Data, Internet of Things & Security -SysCoBIoTS’19”. The use of complex and dynamic systems modelling to social systems is quite recent and its pertinence in the case of an educational system is continually increasing. For the…
Read MoreOptimizing the Wind Farm Layout for Minimizing the Wake Losses
The development of wind farms requires an optimal design of wind turbines layout. The main goal of this optimization is to minimize the wake effect through the optimal placement of the wind turbines. The current study aims to standardize the wake losses among all wind turbines in the wind farm and bringing their losses to…
Read MoreRanking the Most Important Attributes of using Google Classroom in online teaching for Albanian Universities: A Fuzzy AHP Method with Triangular Fuzzy Numbers and Trapezoidal Fuzzy Numbers
This paper has conducted the study of the impact and effectiveness of Google Classroom in online teaching and learning. Based on the unified theory of acceptance and use of technology (UTAUT2), the first aim was to rank the 8 constructs namely: Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, Hedonic Motivation, Habit, Behavioral Intention, and…
Read MoreSensorless Control and Corrected Error Commutation of the Brushless DC Motor
This paper presents a simple method for correcting the error of commutation windings for sensorless control of a brushless DC motor with a small inductance. Switching error analysis is performed based on the phase currents of the switched-off and switched-on phases. To correct the commutatiuon signals for the inverter, a speed-independent function is used, calculated…
Read MoreHeuristic Techniques as Part of Heuristic Methods and Interaction of Personality Types in their Application
The widespread team project method is more effective when used in conjunction with heuristic methods. The large number of heuristic methods and the variety of their descriptions create a problem to prepare students for the use of these methods. A method based on two areas of knowledge – heuristics and psychology – is proposed. The…
Read MorePredicting Student Academic Performance Using Data Mining Techniques
There is a crisis in basic education during this pandemic which affected everyone worldwide, we see that teaching and learning have gone online which has effected student performance. Student’s academic performance needs to be predicted to help an instructor identify struggling students more easily and giving teachers a proactive chance to come up with supplementary…
Read MoreDownlink Indoor Coverage Performance of Unmanned Aerial Vehicle LTE Base Stations
In this study, we study on the downlink indoor coverage performance of unmanned air vehicle (UAV) base stations. We consider a probabilistic expression for air-to-ground (ATG) path loss, and a deterministic one for additional indoor losses in order to provide a practical model. One of our important assumptions is that the UAV base station operates…
Read MoreCurrent Control of Battery-Supercapacitors System for Electric Vehicles based on Rule-Base Linear Quadratic Regulator
This research aims to investigate the energy and power management of a battery-supercapacitors Hybrid Energy Storage System (HESS) for Electric vehicles (EVs). A bidirectional DC-DC converter, a battery and a set of supercapacitors were employed to construct the parallel semi-active architecture of HESS. Two strategies of Rule-Base Linear Quadratic Regulators (R-B LQRs) were proposed to…
Read MoreAn Anonymity Preserving Framework for Associating Personally Identifying Information with a Digital Wallet
Growing adoption of cryptocurrencies by institutional investors coupled with recurring incidents of loss of access to digital wallets have resulted in emergence of custodial services for high net worth individuals and institutions. However, such services are not economically feasible for the wider community of crypto owners who are left with no recourse for recovery of…
Read MoreThe Role of RFID in Green IoT: A Survey on Technologies, Challenges and a Way Forward
The Internet of Things (IoT) is a technology that enables communication between everyday life using different sensor actuators that work together to identify, capture, and distribute critical data from the planet. Massive machines and devices are therefore linked and communicate with them. The use of resources in this area presents new challenges for this technology.…
Read MoreThe Designing of Institute’s Educational Mascots for Brand Identity
The purpose of this study is to show how to design the character used as the symbol or Mascot of the educational institution and how to apply the design results into advertising and Brand identity design such as printing art, poster, digital media, toy, and souvenir. In this study, the ideas of mascot design have…
Read MoreAn Evaluation of some Machine Learning Algorithms for the detection of Android Applications Malware
Android Operating system (OS) has been used much more than all other mobile phone’s OS turning android OS to a major point of attack. Android Application installation serves as a major avenue through which attacks can be perpetrated. Permissions must be first granted by the users seeking to install these third-party applications. Some permissions can…
Read MoreEfficient and Scalable Ant Colony Optimization based WSN Routing Protocol for IoT
IoT integrates and connects intelligent devices or objects with varied architectures and resources. The number of IoT devices is growing exponentially. Due to the massive wave of IoT objects, their diversity and heterogeneity among their architectures, the existing communication protocols for wireless networks become ineffective in the context of IoT. Wireless Sensor Network (WSN) has…
Read MoreReal-time Gradient-Aware Indigenous AQI Estimation IoT Platform
Environmental monitoring has gained significant importance in outdoor air quality measurement and assessment for fundamental survival as well as ambient assisted living. In real-time outdoor urban scale, instantaneous air quality index estimation, the electrochemical sensors warm-up time, cross-sensitivity computation-error, geo-location typography, instantaneous capacity or back up time; and energy efficiency are the six major challenges.…
Read MoreOn Design of IoT-based Power Quality Oriented Grids for Industrial Sector
Manufacturing industry is facing several challenges in power quality and energy consumptions that play a significant role in the cost of goods sold in addition to the operational efficiency of manufacturing plants. The current techniques are not enough to manage the manufacturing processes from power perspectives as it is focusing only on the monitoring of…
Read MoreApplication of Deep Belief Network in Forest Type Identification using Hyperspectral Data
Forest mapping by remote sensing is a hot topics in forestry. At present, many researchers focus on the research of forest type classification or tree species identification using different machine learning methods and try to improve the accuracy of classification of satellite image. However, forest type classification using deep belief network (DBN) is still limited…
Read MoreProphet Architecture in Normalized Meter Energy Consumption Prediction on Building
Normalized Metered Energy Consumption (NMEC) is a solution for investors in determining the best energy-saving strategy for buildings. But on the other hand, investors need a fast and reliable evaluation results in measuring how effective the savings methods they use without wasting money. To address this issue, we selected Facebook’s latest predictive time series method…
Read MoreImpact of Salinity on Stabilized Leachate Treatment from Ozonation Process
Leachate generated from landfill Indonesia is typical has high salinity and organic matters during the dry season, potentially contaminating water and the environment. An increase in salinity might deteriorate the activity of the microorganisms on the decomposition process. This research aims to study the feasibility of the ozonation technique for treating stabilized leachate. The parameters…
Read MoreSimulation Based Energy Consumption Optimization for Buildings by Using Various Energy Saving Methods
The world has turned in the modern era to reduce peak times for electricity consumption, where the peak times cause excessive load on the electricity grid and power stations. In Egypt air conditioning loads are considered the main contributing reasons for the peak time’s problem due to presence of large unshaded glazed surfaces, which cause…
Read MoreSocial Engineering to Establish Digital Culture in Higher Education
This study aims to discuss the establishment of digital culture in higher education as an effort of higher education to align themselves with the development of science and technology so that that higher education is always at the forefront in the enforcement and provide high-quality education. The method used in this study is a qualitative…
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