Journal of Computational Methods in Sciences and Engineering - Volume 22, issue 6

Authors: Wang, Lei

Article Type: Research Article

Abstract: Speech denoising refers to people finding useful information in noise-affected speech data and processing it. This technology is an important part of speech signal processing technology. With the continuous progress of science and technology, its application in various fields is gradually improving, among which voice noise reduction technology has also been well developed. Especially in recent years, with the rapid development of artificial intelligence science and technology, anti-network speech denoising technology based on deep learning has been derived. Compared with traditional speech denoising techniques, it has better performance in resolving speech data distortion and denoising results. However, in practical applications, …this method still has some shortcomings, such as: some unique noises are not removed, and the effective information extraction is distorted under the background of high-intensity noise. In response to these outstanding problems, this research is based on the anti-network speech denoising technology, combined with the Wiener filter speech denoising algorithm, and applies artificial intelligence technology to network security technology management. In this paper, two algorithms, COVL and SSNR, are used to compare the original input speech data signal with noise and the speech data signal preprocessed by Wiener filtering. The additional information is input into the generation network and the discriminant network, and the additional information is used to guide the data generation. The least squares loss function of the binary coding algorithm is used to replace the cross entropy loss function, so that the original discriminant network loss function is not changed, which improves the accuracy of discrimination. This improved technology is superior in terms of speed, productivity and improved accuracy. While building the system, mature network technologies and equipment applications are fully applied, and speech de-noising technology is used for network security situation assessment and prediction simulation tests. The simulation test results show that the network security situation assessment is reasonable and effective, and the prediction is accurate in real time. Show more

Keywords: Speech denoising, artificial intelligence, network security, application of safety management

DOI: 10.3233/JCM-226368

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 22, no. 6, pp. 2243-2255, 2022

Authors: Miao, Leigang | Niu, Yuanyuan

Article Type: Research Article

Abstract: Based on the upgrading of electronic components, communication and computer technology have made rapid progress. Neural network technology which mainly relies on the simulation of animal nerves, realize large-scale node information processing functions. Signal processing can complete the processing of various types of signals to obtain key data. With the further shortage of global energy, countries have begun to pay attention to the development of energy. As one of the traditional energy supply methods, coal mines have received a lot of financial support from the government. However, coal mine safety accidents have always been the focus of many enterprises and …governments. In the process of coal mine development, there are many electrical equipment, and there are many changes in the underground environment. The problems of flooding, subsidence, and rodents biting off the line cause the paralysis of the electrical system and eventually lead to safety accidents in coal mine development. The neural network technology, can add all the electrical equipment in the mine operation, and to the network for analysis, and the signal processing technology can centrally process the signals of a variety of electrical equipment, and analyze the abnormal signals sent by the electrical equipment, and finally realize the prediction of electrical accidents. This paper firstly introduces the neural network and signal processing technology used in the text. Using the examples of hidden safety hazards in mining areas discovered during the team’s inspection as a basis, and combining with the actual situation in our country, these cases are classified. Next, using literature analysis and comparative research methods to analyze the problems existing in the current coal mine electrical safety management and accident prevention. A programme of safety management and accident prevention. The O-Net monitoring system constructed by the institute has its own unique advantage that it has more inputs than other networks, and its network structure is more complex and diverse, which of course also shows that it has more functions than other networks. The results of the scheme test show that the scheme can effectively reduce the probability of electrical safety accidents in coal mines, and at the same time effectively improve the efficiency of electrical safety management in coal mines. After multiple cycles of verification, the algorithm designed in this study has a very good effect in improving the safety of electrical equipment in coal mines, and the risk factors of each work have been effectively controlled, which is worthy of promotion in coal mines with similar environments. Show more

Keywords: Coal mine safety, neural network technology, signal processing technology

DOI: 10.3233/JCM-226370

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 22, no. 6, pp. 2257-2266, 2022

Authors: Luo, Hongxuan | Wei, Ling | Pan, Tingzhe | Li, Xiang

Article Type: Research Article

Abstract: Considering the limitation of computing resources, resource over-reserving, and virtual machine stability, this paper proposes an adaptive dynamic management method for virtual machine resources in cloud/fog computing system. The cloud/fog computing task processing process is modeled in the case of the resource constraints in cloud or fog computing node. According to the tradeoff of resource utilization efficiency and system stability, the virtual machine resources are scheduled elastically to realize the on-demand use of cloud/fog computing resources. The experimental results show that the proposed method can effectively improve the resource efficiency of cloud/fog computing and guarantee the quality of service under …the dynamic task workload. Show more

Keywords: Fog/cloud computing, resource scheduling, on-demand use, quality of service guarantee

DOI: 10.3233/JCM-226202

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 22, no. 6, pp. 2267-2278, 2022

Authors: Wang, Chen | Rong, Xiao | Dou, Zhenhai | Liu, Yawei | Shao, Kaiguang | Liu, Lianxin

Article Type: Research Article

Abstract: Distributed power grid integration contributes to both the reduction of greenhouse gas emissions and the protection of the environment. Nevertheless, the uncertainty and volatility associated with the production of clean renewable energy adds additional challenges to microgrid dispatch. The paper presents an adaptive mutant bird swarm algorithm and suggests a comparison mechanism based on population fitness variances and optimal values in order to overcome the shortcomings of BSA, in particular its tendency to self-correct into local optimum and slow convergence speed. First, the algorithm determines if the population is in the local optimal state. The local optimal individual is then …subjected to Cauchy mutation in order to determine the optimal value again. This improves the accuracy and speed of the BSA. Based on simulation results, the improved algorithm has higher optimization accuracy and faster optimization speed, which demonstrates the effectiveness and advancement of the algorithm proposed in this research. Show more

Keywords: Micro grid, optimal scheduling, bird swarm algorithm, adaptive mutation, distributed power

DOI: 10.3233/JCM-226338

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 22, no. 6, pp. 2279-2293, 2022

Authors: Zhang, Shuo | Zou, Hua | Qiao, Zhicheng | Xu, Yan | Sun, Jian | Qin, Hao

Article Type: Research Article

Abstract: In order to achieve carbon peak and neutrality goals, this study takes product innovation as the breakthrough point, draws lessons from the replication dynamic thought of the biological evolution process, and uses game evolutionary algorithm to analyze the gradual stability of enterprises, governments and users. Although the environment does not actively participate in the game, its benefits directly affect the strategic choices of the other three parties. Therefore, the environmental benefit is regarded as one of the important variables to establish a game model for solving and simulation, and analyze the key variables affecting the game. This paper discusses the …game situation of green product innovation in the evolutionary system for promoting “four-party satisfaction”. The concepts of proactive preventive cost and passive loss cost are redefined and put forward. Research shows that: (1) Proactive preventive cost plays a positive role in promoting green product innovation with “four-party satisfaction”. (2) Increasing subsidies for purchasing green products, reducing the price of green products, increasing purchase tax on non-green products, and increasing government investment in environmental protection publicity and green upgrade of infrastructure will all increase users’ willingness to buy green products. (3) The government formulates reasonable reward and punishment measures to provide necessary financial support for enterprises, so that the final income of enterprises from green product innovation is greater than that from traditional product innovation. It will encourage enterprises to carry out green product innovation. Show more

Keywords: Evolutionary game algorithm, equilibrium stability, product innovation

DOI: 10.3233/JCM-226334

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 22, no. 6, pp. 2295-2317, 2022

Authors: Sun, Yong | Niu, Jinhua | Xu, Huixuan | Liu, Yang | Yang, Yiwei | Xu, Feng

Article Type: Research Article

Abstract: An experimental and simulation study was carried out on the air supply system of the electric heating solid heat storage unit, aiming to improve the uniformity of the air supply system, thereby increasing the overall heating efficiency of the solid heat storage unit. The experiments show that non-uniform air distribution of the air system may cause non-uniform heat release of the heat accumulator, and the uniformity of the air supply system is greatly affected by the air supply structure and air inlet. By establishing a model of the heat storage device and conducting numerical simulation, the air distribution law of …the air supply system was studied. According to the study results, the uniformity index of the air system was effectively improved by increasing the air cabin width and the air inlet angle, and adding a static pressure box at the air supply outlet, so that the flow velocity distribution of the air supply system was more uniform, which is of great significance to the overall optimization of the solid heat storage and heating system. Show more

Keywords: Electric heating solid heat storage unit, flow velocity distribution uniformity index, experiments, numerical simulation

DOI: 10.3233/JCM-226233

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 22, no. 6, pp. 2319-2342, 2022

Authors: Zhang, Lihui | Lu, Wei | Zhang, Caiqing

Article Type: Research Article

Abstract: As the technical demand-supply text information increases rapidly in electric power technology transfer, traditional matching methods could no longer meet the need. To solve this problem, this paper proposed a new technical demand-supply matching method based on electric power technical field feature. First, the improved TF-IDF algorithm was used to extract technical field feature, then scientific and technological achievements with higher relevancy were retrieved based on technical field feature to build a background library of electric power technological achievements, and the matching degree of electric power technological achievements based on word vector was used to verify the matching efficiency of …this method. We adopted the China smart grid technical transaction service platform and the text message of electric power technical demand and technological achievements on Keyi net for application, and the results indicate this method has raised the matching efficiency by 23.4% compared to traditional methods. In this paper, a new idea of taking technical field feature as the demand-supply matching basis of electric power technology transfer platform was proposed, which opens a new perspective for the research of demand-supply matching efficiency on electric power technology transfer platform, helps to promote the matching efficiency of technical demand and technological achievements, and further raises the success rate of electric power technology transfer. Show more

Keywords: Technology transfer, technical demand-supply matching, technical field feature

DOI: 10.3233/JCM-226229

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 22, no. 6, pp. 2343-2357, 2022

Authors: Wei, Zixiang | Hao, Yanjun

Article Type: Research Article

Abstract: Insulator determines the insulation level and power supply reliability of transmission lines. The traditional operation and maintenance method of insulators has a large workload. This paper presents an insulator recognition and fault diagnosis system based on image recognition and machine learning. Firstly, the composite insulators in complex backgrounds have been identified by Faster RCNN algorithm, which helps to extract the image of insulators by drone shot. Then, the cracking of umbrella skirts has been carried out by means of image processing. Also, the contamination of composite insulator umbrella skirts is also identified. The appropriate feature quantity by Fisher’s discrimination is …recommended, and the insulator contamination level has been identified by S component. Lastly, analyzing the infrared image of the insulator provides the basis for the normalization of insulator temperature rise detection results in different environments. Insulator image autonomous recognition and defect intelligent detection, which is based on deep reinforcement learning, is helpful for the operation, maintenance and repair of line insulators. Show more

Keywords: Insulator, image recognition, defect detection, deep learning, insulator cracking

DOI: 10.3233/JCM-226224

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 22, no. 6, pp. 2359-2374, 2022

Authors: Cheng, Zhao | Chen, Guanlin | Weng, Wenyong | Lu, Qi | Yang, Wujian

Article Type: Research Article

Abstract: Recently, AWD-LSTM (ASGD Weight-Dropped LSTM) has achieved good result in the language model, and many AWD-LSTM based models have obtained state-of-the-art perplexities. However, in fact, large-scale neural language models have been shown to be prone to overfitting. In AWD-LSTM original paper, the author decided to adopt the way of retraining calling finetune to get a better result. In this paper, we present a simple yet effective parameter rollback mechanism for neural language models. And we introduce the parameter rollback averaged stochastic gradient descent (PR-ASGD), wherein the parameter “step” in ASGD will decrease according to a certain probability. Using this strategy, …we achieve better word level perplexities on Penn Treebank: 56.26 based on AWD-LSTM model and 53.57 based on AWD-LSTM-MoS (AWD-LSTM Mixture of Softmaxes) model. Show more

Keywords: Optimizer, language model, machine learning

DOI: 10.3233/JCM-226215

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 22, no. 6, pp. 2375-2385, 2022

Authors: Sun, Yong | Xu, Hui-Xuan | Liu, Yang | Xue, Ke-Li | Shi, Yong-Jiang

Article Type: Research Article

Abstract: In recent years, in response to the call for energy conservation and emission reduction, the air source heat pump systems have been widely applied in regional centralized heating engineering.However, due to the existence of cold island effect, the heat pump unit operation in winter has the problems of low efficiency, high operation cost and insufficient production.This paper takes the heat source station combined with gas source heat pump and electric boiler as an example, and its heat pump unit array was simulated and calculated by analyzing relevant test data and using the numerical calculation method. Some technical measures were put …forward to improve the cold island effect, and then the advantages and application scope of these measures are also analyzed. Show more

Keywords: Air source heat pump, regional heat supply, cold island effect, numerical simulation, technical measures

DOI: 10.3233/JCM-226208

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 22, no. 6, pp. 2387-2411, 2022