ICACS

Safe and effective evacuation is very essential to decrease casualties in an emergency event. The social force model is used to simulate the movement of evacuee and leader crowd evacuation with leader in an experimental area. The a-star algorithm is ...

In order to develop a sufficient method to investigate the energy efficiency status of newly constructed building, 64,740 valid samples of building energy consumption were collected and trained using machine learning algorithm. After data preprocessing, ...

Chulalongkorn University Memorial Hall is an important historic landmark in Thailand that collects and displays valuable and interesting documents and items from the history of the Chulalongkorn University, which is the first university established by ...

Robust stochastic optimization provides a worst-case decision-making scheme under uncertain probability distributions, but the results could be too conservative and pessimistic. This paper establishes a class of adjustable robust two-stage stochastic ...

With the rapid development of quantum computing, the variational quantum algorithms capitalize on the classical optimizer and parametrized quantum circuit to provide outperformance on specific tasks such as combinatorial optimization problems. However, ...

Learning analytics (LA), defined as “the measurement, collection, analysis and reporting of data about learners and their contexts for the purposes of understanding and optimizing learning and the environments in which it occurs”, is a research topic ...

With the rise of automatic driving technology, it needs to be studied more and more problems, path planning is this paper needs to study, at present, the existing algorithms are mainly some traditional algorithms and some improved algorithms on the ...

This project collected 2017 public buildings connected to the Shanghai Energy Consumption Monitoring Platform, with a total construction area of 92.083 million m2. On this basis, the calculation formula of the statistical energy consumption baseline of ...

The purpose of this article is to present a procedural content generation algorithm for tower defense games. The algorithm was developed for an isometric tower-defense game with roguelite elements. This algorithm can generate content that improves ...

Let G = (V, E) be a maximal planar graph (MPG), where every face is triangular. A floor plan (FP) of an n-vertex MPG G is a partition of a rectangle into n rectilinear polygons called modules where two modules are adjacent if and only if there is an ...

The extraction of software components or services from a legacy system, is a very active field of research especially after the introduction of the microservices architectures. There are many different proposed approaches to solve this complex problem ...

The study of Human-Robot Interaction (HRI) aims to create close and friendly communication between humans and robots. In the human-center HRI, an essential aspect of implementing a successful and effective HRI is building a natural and intuitive ...

Single object tracking (SOT) finds the object correspondence in a spatio-temporal domain, and incorporates various applications in Computer Vision. The Siamese trackers have recently improved the accuracy of visual tracking, however, with limited ...

CubeSat systems are preferred for short-term space missions, like those with a scientific objective, since they make it possible to complete them in an affordable cost. On the other hand, the resource-constrained nature of such systems poses ...

As the popularity of Electric Vehicles grows, the need for improved public charging infrastructure is vital. Individuals who do not have the time or ability to charge at home use public charging stations. However, having a variant charging time ranging ...

The open-source robot operating system(ROS) is being studied in complex system such as autonomous driving. Many studies have made efforts to port real-time to ROS for complex systems based on ROS. However, these methods are not user-friendly because ...

Automation applications have become one of the emerging trends in machine intelligence. In traditional automation applications, almost all operations are based on programming, scripts or Application Programming Interfaces. However, the continuous ...

In the healthcare sector, accessibility. integrity, and privacy of patients' data is a primary concern. Traditionally, patients' medical history and records were saved on servers that are susceptible to cyber attacks and connectivity issues. In this ...

For the hysteresis of fluid heat transfer in liquid cooling system, the detection of fluid temperature lags behind the temperature rise of heating devices; A PSO-GWO-RBF neural network temperature prediction method for liquid cooling system is proposed. ...

Feature extraction is an initial and essential part for the development of accurate predictive machine learning classifiers. In the research field of drug discovery and development, the usage of molecular descriptors, which can be defined as ...

Zika virus is mainly transmitted by mosquitoes. This disease can also be passed through sexually transmission. This disease can be found in South and Central America, the Caribbean, the Pacific islands, Africa, and Asia. Zika virus disease is normally a ...