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Keyword: TimeTypes 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 MoreDecision Support Model using FIM Sugeno for Assessing the Academic Performance
Assessing academic performance is a common way of evaluating and assessing the abilities of students in tertiary institutions. Usually it is practically performed based on the cumulative grade point average (GPA) at the end of each semester passed. Unwittingly there are many factors that are able to influence student performance results apart from GPA as…
Read MoreOptimal PMU Placement Using Genetic Algorithm for 330kV 52-Bus Nigerian Network
The phasor Measurement Unit is a modern tracking tool mounted on a network to track and manage power systems. PMU is accurate and time-synchronized device that gives voltage phasor measurements in nodes and current phasor measurements connected to those nodes where the PMU is installed. This study introduces the Genetic Algorithm for optimization of allocation…
Read MoreDriving Behaviour Identification based on OBD Speed and GPS Data Analysis
Vehicle accidents, particularly in small and large urban areas, are rising tremendously day by day worldwide. As a recent research subject in automaton transportation, the subsequent collision has become a vital issue and emergency. Internet of things (IoT) and the Internet of Vehicles (IoV) have become very popular these days because of their versatility, and…
Read MoreTraffic Aggregation Techniques for Optimizing IoT Networks
Internet of Things (IoT) is changing the world through a new wave of revolution for communications technologies that are no more limited to the human being. One of the main challenges that result from the exponential spread of IoT technology is the difference in the traffic characteristics between classical human communications and advanced things communications.…
Read MoreA Proposed Framework to Improve Containerization from Asia to North America
The constant market change and the critical role of the logistics process in the supply chain need to have special attention because it is an essential piece for the global business strategy. This paper presents an assessment of the processes of handling material from Asia suppliers to North America. The data utilized for the analysis…
Read MoreDecentralized Management System for Solid-State Voltage Regulators in Nodes of Distribution Power Networks
The article describes the concept and architecture of a decentralized control system for a solid-state voltage regulator (SSVR). The SSVR is a universal device for controlling the mode and operation parameters of medium voltage electrical networks. SSVR manage the amount of current in line using the vector voltage control method. The SSVR control system consists…
Read MoreData Aggregation, Gathering and Gossiping in Duty-Cycled Multihop Wireless Sensor Networks subject to Physical Interference
Data aggregation, gathering and gossiping are all vital communication tasks in wireless sensor networks (WSNs). When all networking devices are always active, scheduling algorithms for these communication tasks have been extensively investigated under both the protocol and physical interference models. However, wireless devices usually switch between the sleep state and the active state for the…
Read MoreNovel Infrastructure Platform for a Flexible and Convertible Manufacturing
Sales behavior and the technical development of products influence their fabrication. As market influences become increasingly volatile and unpredictable, factories will have to adapt their manufacturing to market trends even more in the future. Adaptation is referred to as convertibility and can be achieved, among other things, by mobile and intercompatible machines. Enabling machines to…
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 MoreStudy of latencies in ThingSpeak
IoT platforms play an important role on modern measurement systems because they allow the ingestion and processing of huge amounts of data (big data). Given the increasing use of these platforms, it is important to characterize their performance and robustness in real application scenarios. The paper analyzes the ThingSpeak platform by measuring the latencies associated…
Read MoreRecent Impediments in Deploying IPv6
Internet Protocol version 6 is being adopted on slow pace and it is taking a long time. This paper intends to discuss the transition process between IPv4 and IPv6 and the major obstacles that prevent deploying IPv6 worldwide. It presents the IPv4 exhaustion reports results and where are the IPv4 address pool. Then it presents…
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 MoreTrend Analysis of NO\(_X\) and SO\(_2\) Emissions in Indonesia from the Period of 1990 -2015 using Data Analysis Tool
NOX and SO2 gas pollution have a direct impact on health problems and environmental damage. Therefore, to map the emission patterns and predict the resulting impacts, complete data and information on emissions of the two pollutants are needed. In Indonesia, data on NOX and SO2 emissions that are recorded over a long period of time…
Read MoreA Case Study to Enhance Student Support Initiatives Through Forecasting Student Success in Higher-Education
Enrolment figures have been expanding in South African institutions of higher-learning, however, the expansion has not been accompanied by a proportional increase in the percent- age of enrolled learners completing their degrees. In a recent undergraduate-cohort-studies report, the DHET highlight the low percentage of students completing their degrees in the allotted time, having remained between…
Read MoreLifestyle in Nursing Students at a University of North Lima
Healthy lifestyles were proposed to improve the health status of the university population, they are a set of behaviors that are reflected according to the type of situation and behavior of each person who performs it during the period of their training, the inappropriate lifestyles provides many problems, which are non-communicable diseases that manifest in…
Read MoreBalancing Exploration-Exploitation in the Set Covering Problem Resolution with a Self-adaptive Intelligent Water Drops Algorithm
The objective of the metaheuristics, together with obtaining quality results in reasonable time, is to be able to control the exploration and exploitation balance within the iterative processes of these methodologies. Large combinatorial problems present ample search space, so Metaheuristics must efficiently explore this space; and exploits looking in the vicinity of good solutions previously…
Read MoreRecognition of Maximal Lift Capacity using the Polylift
Background: Occupational injuries are an issue of huge significance in the United States. After a work injury, health care providers often utilize functional capacity evaluations to determine readiness of a patient to return to work. However, it can be difficult to determine if a patient is providing maximal “effort” during the evaluation. The aim of…
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 MoreSwitching Capability of Air Insulated High Voltage Disconnectors by Active Add-On Features
The need of add-on features (secondary contacts) for current paths of air insulated high voltage disconnectors switching capabilities (e.g. bus transfer switching) is introduced. The relevant product components for the switching capability and their functionality is described, which is giving boundary conditions for adding features necessary to achieve the switching capability. Possible features are discussed…
Read MoreStandardized UCI-EGO Dataset for Evaluating 3D Hand Pose Estimation on the Point Cloud
To evaluate and compare methods in computer vision, scientists must use a benchmark dataset and unified sets of measurements. The UCI-EGO dataset is a standard benchmark dataset for evaluating Hand Pose Estimation (HPE) on depth images. To build robotic arms that perform complex operations such as human hands, the poses of the human hand need…
Read MoreA Machine Vision Approach for Underwater Remote Operated Vehicle to Detect Drowning Humans
Today, Drowning is the 3rd major cause for unintentional injury death accounting for 7% of deaths of all injury deaths. Drowning is a state of suffocation when water or other fluids accumulate the lungs, resulting in respiratory impairment, ultimately leading to death. The predominant problem during rescue operations of such accidental drowning is to locate…
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 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 MoreElasticity Based Med-Cloud Recommendation System for Diabetic Prediction in Cloud Computing Environment
Day to day huge medical data have been accumulating for diabetic diseases. The complexity of storing, processing ,analyzing and predicting the data related to diabetics is not so easy for healthcare professionals .The prediction of accurate results also has the limitation due to scale of data increasing worldwide for patients, symptoms and test results .In…
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