2023 IEEE 6th International Conference on Information Systems and Computer Aided Education (ICISCAE) - Conference Table of Contents | IEEE Xplore
International Conference on Information Systems and Computer Aided Education (ICISCAE)

2023 IEEE 6th International Conference on Information Systems and Computer Aided Education (ICISCAE)

DOI: 10.1109/ICISCAE59047.2023

23-25 Sept. 2023

Proceedings

The proceedings of this conference will be available for purchase through Curran Associates.

59047- ICISCAE, 2023 (PRT)

ICISCAE 2023 TOC

Publication Year: 2023,Page(s):1 - 14
This project intends to study a new human action recognition system based on Laplacian matrix multi-scale convolutional neural network (MCNN) algorithm, in order to overcome the shortcomings of the action recognition process in the recognition system. Firstly, a de-correlation network architecture is established by using matrix transformation to solve the correlation problem. When the network perf...Show More
A decision-making method for power system transient stability control was proposed considering the uncertainties of wind generation and load. Firstly, the transient stability margin is defined taking the salient pole synchronous generator model into consideration. The Gaussian mixture model (GMM) was used to describe the uncertainties of wind power and load. The probabilistic transient stability o...Show More

Research on Popular Machine Learning Algorithms

Kexin Chen

Publication Year: 2023,Page(s):14 - 21
Cited by: Papers (2)
Artificial Intelligence technologies have been developed rapidly in the past 20 years and have been widely applied in various industries. Machine Learning, as the most important way to achieve artificial intelligence, is evolving at a huge speed. Keeping track of the regular development is quite a difficult work, especially for beginners. In this paper, we are going to briefly discuss about the mo...Show More
Prediction problems for complex systems have been of wide interest. Since the input features of such problems often contain both qualitative and quantitative variables, it is not possible to preprocess the features by conventional methods. Moreover, due to the complexity of the problem, using only a single model for prediction may lead to insufficient accuracy. In this paper, a prediction model fo...Show More
Due to the development and demand of modern medical treatment and modern industry, the use of flexible robot arm is more and more widely needed. At the same time, the high flexibility of the flexible robot arm also brings a series of problems, among which the vibration problem caused by the robot arm in the process of movement will lead to a series of problems such as unstable output and shortened...Show More
This paper studies a satellite navigation signal processing method with the integration of software and hardware. The steps are as follows: there are two sources of received data, which can be either the intermediate frequency data collected by the receiving antenna and the RF front-end, or the data input module; The collected intermediate frequency data is input into the hardware correlator or so...Show More
This paper introduces an intelligent road navigation system based on the simulation of traffic flow and V2I technology. Traditional road navigation systems have limitations due to their inability to consider real-time traffic conditions and road user behavior. This system proposes two optimization methods: simulation of traffic flow at multiple intersections in a randomized manner for preliminary ...Show More
A two-way long and short-term memory network with attention mechanism (WOA-BiLSTM-Attention) model under the whale optimization algorithm is chosen for wind power prediction evaluation using historical data from a wind farm in the context of the high stochastic, fluctuating, and intermittent power generation pattern of wind power. The BiLSTM-Attention model can minimize the loss of previous data a...Show More
The foundation of power system operation is short-term power load forecasting, and precise load forecasting can guarantee the power system’s safe and stable operation. This paper chooses the bidirectional long- and short-term memory network model of the attention mechanism under the Whale Optimization Algorithm (WOA-BiLSTM-Attenion) for the evaluation of electric power forecasting in order to addr...Show More
Language model pre-training has emerged as a highly effective approach for acquiring universal language representations. Among the state-of-the-art models in this field, BERT (Bidirectional Encoder Representations from Transformers) has garnered significant attention due to its remarkable performance across various language understanding tasks. With its advanced architecture and innovative techniq...Show More
In consideration of the challenges associated with vehicle detection due to blurred images under adverse weather conditions, this paper introduces an enhanced YOLOv7-based vehicle detection algorithm, denoted as ECD-YOLO. Firstly, the incorporation of the ECA attention module improves the channel features and enhances the model’s capability to distinguish vehicle targets. Secondly, by using a ligh...Show More
In the complex nonlinear prediction problem BP neural network exists overfitting, prediction accuracy is not high and easy to fall into the local optimal defects, so the optimization of BP neural network to increase the prediction accuracy is of great significance. Around this problem, this paper takes BP neural network as the optimization object, and proposes a genetic algorithm-based BP neural n...Show More
In this paper, a BP neural network prediction model optimised based on genetic algorithm and a difficulty-based classification model are developed for predicting and classifying the metrics for a given word on a future date. In this study, the genetic algorithm optimised BP neural network was first used to analyse the prediction of the number of results to be reported on 1 March. The results show ...Show More
The k-Nearest Neighbor (KNN) algorithm remains a pivotal tool in classification due to its simplicity and effectiveness. In this paper, a novel KNN-based classifier is introduced, termed the local mean-based distance weighted k-Nearest Neighbor algorithm (LMWKNN), which builds upon the foundation laid by the local mean-based K-nearest neighbor (LMKNN) algorithm and the distance-weighted K-nearest ...Show More
As a key equipment in the new distribution network, the distribution terminal has a complex working environment and lacks the professional remote operation and maintenance methods. Traditional manual periodic maintenance is not targeted, and has poor timeliness, and low efficiency, which cannot meet the requirements of high-reliability operation and power supply guarantee of the new distribution n...Show More
This paper analyses the shortcomings of traditional security chip fault detection methods and proposes a new type of automated security chip fault detection method. This method builds a fault detection strategy in the computer software, using the advantage that the configuration file can be flexibly added to the fault detection instructions, the fault detection instructions are completely extracte...Show More
An interactive whiteboard is a kind of display device with the ability of pointer device similar to touch screen. Machine vision is to sense the three dimensional world with computer. In this paper, we introduce an interactive whiteboard system using machine vision techniques. This system is composed of one computer, one projector, one laser pointer and one video camera. The user points the projec...Show More
The non-invasive fetal electrocardiogram (FECG) monitoring, an innovation in prenatal healthcare, faces difficulties due to weak signal amplitude, maternal interference, and non-stationarity. To overcome these, we propose an adaptive method employing Local Principal Component Analysis (LPCA) for efficient FECG extraction from single-lead abdominal electrocardiograms (AECG). Our approach eliminates...Show More
In order to adapt to the goal of constructing new distribution systems, enhance the professional technical capabilities of distribution network operation and maintenance personnel, and accelerate the transformation towards intelligent distribution substations, this article proposes a low-voltage intelligent distribution substation training system. This system focuses on key equipment in intelligen...Show More
Aiming at the spring mechanism of circuit breaker, which is commonly divided after closing, this paper proposes a method of analyzing the failure of circuit breaker after closing based on the tracking of image feature points. Firstly, through the analysis of the spring mechanism transmission process, the main analysis direction of the closing and splitting faults is determined. Then, based on the ...Show More
The circulating commodity garbage classification system design based on machine vision is an application-oriented product design combining machine vision and garbage classification, which will deal with life problems intelligently. It not only actively responds to the national call for energy conservation, environmental protection and environmental governance, but also saves people’s life time and...Show More
The rapid development of artificial intelligence technology affects every aspect of our lives and shows the characteristics of computing everywhere. As one of the closest branches of AI technology, deep learning is widely used in various aspects. Neural network models have a prominent advantage in stock prediction due to their powerful learning and computational capabilities. This research adopts ...Show More
In the era of rapid advances in artificial intelligence, the digitization of armed forces around the world has seen unprecedented growth. A wealth of military information and knowledge is available on the Internet. The task of harnessing and analyzing this vast amount of data, and structuring the existing information to facilitate the development of information-centric weapons, has emerged as a pr...Show More
In traditional power grid dispatching and control systems, GIS was embedded in the graphical browser by replacing graphical windows. This method has limitations such as poor interactivity between GIS and graphics, single display layout, and inability to flexibly support business scenario customization. This article proposes a GIS framework that is highly integrated with the power grid dispatching ...Show More

Proceedings

The proceedings of this conference will be available for purchase through Curran Associates.

59047- ICISCAE, 2023 (PRT)