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International Journal of Information Technologies and Systems Approach最新文献

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ESG Information Disclosure of Listed Companies Based on Entropy Weight Algorithm Under the Background of Double Carbon 双碳背景下基于熵权算法的上市公司ESG信息披露
IF 0.8
International Journal of Information Technologies and Systems Approach Pub Date : 2023-07-21 DOI: 10.4018/ijitsa.326756
Qiuqiong Peng
{"title":"ESG Information Disclosure of Listed Companies Based on Entropy Weight Algorithm Under the Background of Double Carbon","authors":"Qiuqiong Peng","doi":"10.4018/ijitsa.326756","DOIUrl":"https://doi.org/10.4018/ijitsa.326756","url":null,"abstract":"As global climate change becomes increasingly severe, environment, society, and governance (ESG) assessment systems offer new standards to examine enterprises' sustainable development behavior, performance, and potential. Listed companies' ESG information disclosure practices are causing shifts from quantity growth to quality improvement, voluntary disclosure to mandatory disclosure, and single exposure to comprehensive disclosure. Under “double carbon target” guidance, China is accelerating the construction of its ESG assessment system, whose critical link involves disclosing enterprise ESG information. Considering the strategic objectives of peak carbon dioxide emissions and carbon neutrality, this paper analyzes the progress of ESG governance in the domestic banking industry and examines the ESG information disclosure quality assessment method based on the entropy weight algorithm. Accurate, complete, and timely disclosure of information helps investors and creditors make scientific and reasonable economic decisions, reduces investment and credit risks, helps listed companies experience healthy development, and improves the market's overall operating efficiency.","PeriodicalId":52019,"journal":{"name":"International Journal of Information Technologies and Systems Approach","volume":" ","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47134998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The Optimization of Face Detection Technology Based on Neural Network and Deep Learning 基于神经网络和深度学习的人脸检测技术优化
IF 0.8
International Journal of Information Technologies and Systems Approach Pub Date : 2023-07-20 DOI: 10.4018/ijitsa.326051
Jian Zhao
{"title":"The Optimization of Face Detection Technology Based on Neural Network and Deep Learning","authors":"Jian Zhao","doi":"10.4018/ijitsa.326051","DOIUrl":"https://doi.org/10.4018/ijitsa.326051","url":null,"abstract":"Face detection is a biometric technology that automatically contains facial feature information. It integrates digital image processing, pattern recognition, and other technologies and collects images or video streams containing human faces by cameras or cameras for automatic detection and tracking. Starting from the idea of local features and deep learning, aiming at the problem that traditional convolutional neural network (CNN) only extracts features from the whole image and ignores practical local details, this article proposes a deep CNN model based on the fusion of global and local features. It explores the face detection algorithm with better performance under the interference of illumination, expression, and other internal or external factors. This method designs a suitable network structure according to the size of the training data set, and the core technology is the debugging of super parameters. The simulation results show that compared with SVM, the improved CNN has obvious advantages in the later stage of operation, and the error is reduced by 36.85%. Compared with the traditional face detection method, it can automatically extract image features and also automatically learn its model and get a higher recognition rate.","PeriodicalId":52019,"journal":{"name":"International Journal of Information Technologies and Systems Approach","volume":" ","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48150001","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Recognition and Analysis of Scene-Emotion in Photographic Works Based on AI Technology 基于AI技术的摄影作品场景情感识别与分析
IF 0.8
International Journal of Information Technologies and Systems Approach Pub Date : 2023-07-20 DOI: 10.4018/ijitsa.326055
Wenbin Yang
{"title":"Recognition and Analysis of Scene-Emotion in Photographic Works Based on AI Technology","authors":"Wenbin Yang","doi":"10.4018/ijitsa.326055","DOIUrl":"https://doi.org/10.4018/ijitsa.326055","url":null,"abstract":"Emotional effect is highly subjective in people's cognitive process, and a single discrete emotional feeling can hardly support the description of the immersion scene, which also puts forward higher requirements for emotional calculation in photography. Therefore, this article first constructs a photographic scene recognition model, and then establishes a visual emotion analysis model which optimizes the basic structure of vgg19 through CNN, extracts the user's photography situation information from the corresponding image metadata, establishes the mapping relationship between situation and emotion, and obtains the low-dimensional dense vector representation of the situation features through embedding. The authors divided eight emotional categories; accuracy of the model is compared and the feature distribution of scene-emotion in different works is analyzed. The results show that the accuracy of the scene-emotion recognition model of photographic works after multimodal fusion is high, reaching 73.9%, in addition, different shooting scenes can distinguish the emotional characteristics of works.","PeriodicalId":52019,"journal":{"name":"International Journal of Information Technologies and Systems Approach","volume":" ","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46554622","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The Construction of a Fire Monitoring System Based on Multi-Sensor and Neural Network 基于多传感器和神经网络的火灾监测系统的构建
IF 0.8
International Journal of Information Technologies and Systems Approach Pub Date : 2023-07-20 DOI: 10.4018/ijitsa.326052
N. Li
{"title":"The Construction of a Fire Monitoring System Based on Multi-Sensor and Neural Network","authors":"N. Li","doi":"10.4018/ijitsa.326052","DOIUrl":"https://doi.org/10.4018/ijitsa.326052","url":null,"abstract":"An automated fire alarm system is a vital safety facility for modern fire fighting. It is an essential guarantee for people to find fires early and take effective measures to control and extinguish them in time. This article proposes a multi-sensor data fusion algorithm based on artificial neural network (ANN) technology, which intelligently processes various environmental characteristic parameters detected by multi-sensors, effectively detects real fire signals, and realizes early fire monitoring and alarm. The simulation results show that compared with the fuzzy clustering algorithm (FCM), the MAE of the proposed data fusion algorithm is improved by about 15%, and the recall is improved by about 10%. It can not only overcome the instability and limitation of a single sensor, but also grasp the system information more comprehensively and accurately. The data fusion technology is applied to the fire monitoring system, and multiple sensorsmultiple sensors collect the data collect the data, and then processed by data fusion technology. By making full use of multidimensional information, the fire monitoring and identification can be better completed, the false alarm rate and the false alarm rate can be reduced, the system is more sensitive and reliable, and the performance of the fire alarm system can be improved.","PeriodicalId":52019,"journal":{"name":"International Journal of Information Technologies and Systems Approach","volume":" ","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41769084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Empirical Test of Credit Risk Assessment of Microfinance Companies Based on BP Neural Network 基于BP神经网络的小额信贷公司信用风险评估实证检验
IF 0.8
International Journal of Information Technologies and Systems Approach Pub Date : 2023-07-20 DOI: 10.4018/ijitsa.326054
Hualan Lu
{"title":"Empirical Test of Credit Risk Assessment of Microfinance Companies Based on BP Neural Network","authors":"Hualan Lu","doi":"10.4018/ijitsa.326054","DOIUrl":"https://doi.org/10.4018/ijitsa.326054","url":null,"abstract":"In recent years, the chaos of internet finance has occurred frequently, especially P2P, with high risks. As a kind of financial innovation, small loan companies are challenging to avoid alone, and the issue of credit risk is also highly valued. This study selects the loan records of a small loan company (a daily loan record from September 1, 2016 to July 1, 2021 has seven indicators, each of which has 21299 data). It uses MATLAB programming to test the correctness of risk indicator selection and the accuracy of BP neural network classification and identification results. This study obtains the corresponding risk value. According to the corresponding risk value, the newly applied loans are classified, that is, rated, to verify the effectiveness and applicability of this method. Therefore, BP neural network has strong applicability, generalization ability, and portability and is an effective method for small loan companies to guide credit risk assessment.","PeriodicalId":52019,"journal":{"name":"International Journal of Information Technologies and Systems Approach","volume":" ","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49034684","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
New Media Interactive Design Visualization System Based on Artificial Intelligence Technology 基于人工智能技术的新媒体交互设计可视化系统
IF 0.8
International Journal of Information Technologies and Systems Approach Pub Date : 2023-07-20 DOI: 10.4018/ijitsa.326053
Binbin Zhang
{"title":"New Media Interactive Design Visualization System Based on Artificial Intelligence Technology","authors":"Binbin Zhang","doi":"10.4018/ijitsa.326053","DOIUrl":"https://doi.org/10.4018/ijitsa.326053","url":null,"abstract":"The experimental results show that the average cumulative contribution rate of this algorithm was 92.78%, while that of the traditional algorithm was 88.88%. In contrast, the average cumulative contribution rate of this algorithm was improved by 3.9%. In terms of classification accuracy, the average classification accuracy of this algorithm was 94.99%, while the traditional algorithm was 90.98%. In contrast, the average classification accuracy of this algorithm was improved by 4.01%. In terms of dimension reduction time, the average dimension reduction time of this algorithm was 3.46s, while that of the traditional algorithm was 6.43s. In contrast, the average dimension reduction time of this algorithm was shortened by 2.97s. It can be seen from the data that the improved PCA algorithm can effectively improve the classification accuracy and cumulative contribution rate of the visualization system, shorten the dimension reduction time, and improve the system's ability to process data.","PeriodicalId":52019,"journal":{"name":"International Journal of Information Technologies and Systems Approach","volume":" ","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45043320","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Social Welfare-Based Task Assignment in Mobile Crowdsensing 移动人群感知中基于社会福利的任务分配
IF 0.8
International Journal of Information Technologies and Systems Approach Pub Date : 2023-07-14 DOI: 10.4018/ijitsa.326134
Zheng Kang, Hui Liu
{"title":"Social Welfare-Based Task Assignment in Mobile Crowdsensing","authors":"Zheng Kang, Hui Liu","doi":"10.4018/ijitsa.326134","DOIUrl":"https://doi.org/10.4018/ijitsa.326134","url":null,"abstract":"Mobile crowdsensing (MCS) is a novel data-collection paradigm in the internet of things. Social welfare is an important factor in the task allocation because it integrates the interests of all parties involved in MCS and represents societal satisfaction. The ultimate goal of task allocation is to maximize social welfare as much as possible. Existing social welfare optimization research does not consider the moral and psychological characteristics of people in the real world. In this study, the real-world situation is considered. A task allocation strategy, which includes two stages, is formulated for task allocation. A generalized shortest path algorithm and an optimal pricing algorithm are proposed for each stage. To evaluate the proposed algorithms, extensive simulation experiments are conducted on two real-world datasets. The experimental results demonstrate that the proposed algorithms produce the desired effects, and the proposed strategy significantly increases social welfare by 19% compared to another method.","PeriodicalId":52019,"journal":{"name":"International Journal of Information Technologies and Systems Approach","volume":" ","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49546906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Sentiment Distribution of Topic Discussion in Online English Learning 在线英语学习中话题讨论的情感分布
IF 0.8
International Journal of Information Technologies and Systems Approach Pub Date : 2023-07-11 DOI: 10.4018/ijitsa.325791
Q. Yang, Jiaxiao Zhang
{"title":"Sentiment Distribution of Topic Discussion in Online English Learning","authors":"Q. Yang, Jiaxiao Zhang","doi":"10.4018/ijitsa.325791","DOIUrl":"https://doi.org/10.4018/ijitsa.325791","url":null,"abstract":"Online English teaching resources have recently surged, highlighting the exigency for efficient organization and categorization. This manuscript introduces an innovative strategy to classify university-level English teaching resources, employing a sophisticated density clustering algorithm. Initially, student discourse was mined within a teaching platform comment section, and in-depth textual analysis was conducted. Subsequently, the term frequency-inverse document frequency (TF–IDF) feature extraction algorithm was enhanced, while emotive attributes were seamlessly integrated into the textual manifestation layer during the classification procedure. This enabled the distribution of topics and emotions to be acquired for each comment, facilitating subsequent analyses of emotion feature extraction and model training. An improved weight calculation was designed based on TF–IDF to evaluate the importance of feature items for each corpus file. The simulation results demonstrate the proposed scheme's effectiveness. The algorithm facilitates faster scholarly access to educational resource information and effectively classifies data for high research adaptability.","PeriodicalId":52019,"journal":{"name":"International Journal of Information Technologies and Systems Approach","volume":" ","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45092182","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The Analysis of the Artistic Innovation of LED Lighting in Gymnasiums Based on Intelligent Lighting Control Systems 基于智能照明控制系统的体育场馆LED照明艺术创新分析
IF 0.8
International Journal of Information Technologies and Systems Approach Pub Date : 2023-07-11 DOI: 10.4018/ijitsa.326050
Yan Huang, Zhihui Xiao
{"title":"The Analysis of the Artistic Innovation of LED Lighting in Gymnasiums Based on Intelligent Lighting Control Systems","authors":"Yan Huang, Zhihui Xiao","doi":"10.4018/ijitsa.326050","DOIUrl":"https://doi.org/10.4018/ijitsa.326050","url":null,"abstract":"With people's attention to and participation in sports, large-scale and comprehensive gymnasiums have sprung up nationwide. Unlike previous small gymnasiums, large modern gymnasiums have more robust functions, more intelligent control, and humanization. However, some shortcomings remain, such as too centralized control and inflexible control. Therefore, intelligent control and energy saving of lighting will become the development direction of lighting systems. To ensure the normal progress of sports events and the quality of TV broadcast, the requirements of gym lighting are increasingly stringent, so the lighting control system of gyms has higher requirements accordingly. To solve these problems, this paper designs a gym intelligent control lighting system based on LED bus, which can adapt to the corresponding lighting scenes of different venues. The experimental results show that the intelligent lighting control system designed in this paper can run normally and stably, and can complete the detection of crucial working parameters. This system can automatically control the light and dark and switch off according to the indoor lighting brightness, achieving a sound energy saving effect, improving the lighting environment, and achieving the desired goal.","PeriodicalId":52019,"journal":{"name":"International Journal of Information Technologies and Systems Approach","volume":" ","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47662841","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Sentiment Analysis of the Consumer Review Text Based on BERT-BiLSTM in a Social Media Environment 社交媒体环境下基于BERT-BiLSTM的消费者评论文本情感分析
IF 0.8
International Journal of Information Technologies and Systems Approach Pub Date : 2023-07-11 DOI: 10.4018/ijitsa.325618
Xueli Zhou
{"title":"Sentiment Analysis of the Consumer Review Text Based on BERT-BiLSTM in a Social Media Environment","authors":"Xueli Zhou","doi":"10.4018/ijitsa.325618","DOIUrl":"https://doi.org/10.4018/ijitsa.325618","url":null,"abstract":"In this paper, a BERT-BiLSTM-based consumer review text sentiment analysis method in the e-commerce big data field is proposed. First, the unlabeled text is trained using the BERT training model for the language introduced in the deep learning, and then the pre-training model of the text data is delivered by the learning textual features and data to extract deeper vectors. Second, the BiLSTM model is applied to simultaneously obtain contextual information so as to illustrate optimal textual features. Finally, a corresponding sentiment analysis model relative to the consumer review text is constructed by combining the BERT model with BiLSTM to better merge the context for classifying sentiment and improving the final feature vector accuracy for the sentiment classification results. Simulated by experiments, the method proposed in this paper was compared with another three methods using the same data set. The results obtained indicate that the proposed method has the highest precision, recall, and F1-Measure, and the values reach 92.64%, 90.32%, and 91.46%, respectively.","PeriodicalId":52019,"journal":{"name":"International Journal of Information Technologies and Systems Approach","volume":" ","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48883156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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