this paper presents the manual calibration effort for the System Dynamics (SD) COVID-19 model for Malaysia. this study aims to develop a COVID-19 SD model based on the COVID-19 scenario in Malaysia. the SD model consi...
this paper presents the manual calibration effort for the System Dynamics (SD) COVID-19 model for Malaysia. this study aims to develop a COVID-19 SD model based on the COVID-19 scenario in Malaysia. the SD model consisted of nine compartments and was adapted based on a standard disease SEIR model using Vensim software. While the development of the model is still ongoing, an initial validation was carried out between ‘Actively Infected’ and the case data gathered from the Malaysia Ministry of Health's official COVID-19 websites. During this period, the parameters were manually adjusted by hand to align the model's output withthe actual data. the expected outcome was not easy to achieve, but the result was acceptable. It is important to note that the lack of such strategies may compromise the model's validity due to uncertainty. this paper also discusses the challenges posed by hand calibration, the lessons learned during this work, and the potential future implications of this work.
In recent times, wearables internet of things (IoT) devices has gained popularity due to their ability to improve many facets of our daily lives. this innovative technology is equipped with sensors, processors, and ot...
In recent times, wearables internet of things (IoT) devices has gained popularity due to their ability to improve many facets of our daily lives. this innovative technology is equipped with sensors, processors, and other electronic components to collect and transmit data to the cloud for processing important insights. However, the limited power supply, frequent recharging, and user inconvenience, are some of the critical barriers to their widespread adoption. To circumvent these constraints, effective energy harvesters are essential. this paper proposes light energy harvesting to power up wearable IoT devices. It consists of a small photovoltaic (PV) panel, energy management IC and lithium polymer (LiPo) rechargeable battery. the experiments include a baseline system, LiPo charging and discharging, and the light energy harvesting system under natural sunlight. Experimental results show that the light energy harvesting enabled wearable IoT system can provide an increase in lifetime of more than 300% when compared to the baseline system. this shows that light energy harvesting is a reliable and efficient option to power a wearable IoT device, making it a promising option for self-powered, and sustainable wearables IoT.
In the last few years, Recommender systems have become extremely popular for users to extract relevant information. the applicability of recommender systems is in several domains, including e-commerce sites, social me...
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Today, the volume of information related to any sphere of human life is increasing. Although it is easy to find the information you need, there are several problems that need to be solved in their use, to overcome lin...
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In order to meet the current demand for IT professionals, this paper presents the reform idea of 2C+E (Core professional knowledge, Core professional ability, engineering environment) training system withthe goal of ...
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ISBN:
(纸本)9780769546001
In order to meet the current demand for IT professionals, this paper presents the reform idea of 2C+E (Core professional knowledge, Core professional ability, engineering environment) training system withthe goal of training ideal professionals. the idea needs students to master core professional knowledge, to train core professional ability in the university, and to enhance their capability of engineering practice in the environment of university-enterprise cooperation. We have successfully applied reform measures of training engineering professionals in real situations and demonstrated a training scheme of university-enterprise cooperation. the result of the reform has played a significant role in training engineering professionals of computer major in our university.
Hydroponics is a way to grow plants without using soil. this method makes use of a water-based solvent and a mineral nutrient solution. It was demonstrated to be accurate, rapid, more affordable, and most importantly,...
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Social media gives young people a place to voice their difficulties and trade opinions on current events in the digital era. therefore, it is possible to analyze human behavior using internet media. However, the illne...
Social media gives young people a place to voice their difficulties and trade opinions on current events in the digital era. therefore, it is possible to analyze human behavior using internet media. However, the illness of mental disorder is common yet often ignored. Social media makes it possible to identify mental health disorders in large populations. Many efforts have been made to evaluate individual postings using machine learning techniques to identify people with mental health conditions on social media. this study attempted to predict mental health disorders among Twitter users using machine learning techniques. Support Vector Machine (SVM), Decision Tree, and Naive Bayes are three examples of machine learning approaches applied in this study. To assess the algorithms, the performance and accuracy of these three algorithms are compared.
In recent years, significant advancements have been made in speech and language understanding research, with a particular focus on the development of conversational dialog systems between humans and machines. these sy...
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this study proposes a new fuzzy control method based on Improved Genetic Algorithm (IGA) that employs the Parallel Distributed Compensation technology to achieve the exponential synchronization of two chaotic systems ...
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Current signals are commonly used as output signals of sensors. For sensors with output signals ranging from 4 to 20mA, a data acquisition system based on STM32F103 microcontroller of ARM Cortex-M3 kernel is proposed ...
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