網際網路技術學刊最新文献_第4页

A Dynamic Model for the Computation of Gesture Types for Image-based Software Agents 为基于图像的软件代理计算手势类型的动态模型

網際網路技術學刊 Pub Date : 2023-12-01 DOI: 10.53106/160792642023122407011

Tse-Chuan Hsu Tse-Chuan Hsu, Chih-Hung Chang Tse-Chuan Hsu, William Cheng-Chung Chu Chih-Hung Chang, Shou-Yu Lee William Cheng-Chung Chu, Shih-Yun Huang Shou-Yu Lee

{"title":"A Dynamic Model for the Computation of Gesture Types for Image-based Software Agents","authors":"Tse-Chuan Hsu Tse-Chuan Hsu, Chih-Hung Chang Tse-Chuan Hsu, William Cheng-Chung Chu Chih-Hung Chang, Shou-Yu Lee William Cheng-Chung Chu, Shih-Yun Huang Shou-Yu Lee","doi":"10.53106/160792642023122407011","DOIUrl":"https://doi.org/10.53106/160792642023122407011","url":null,"abstract":"Computer vision technology allows the computer to interact with a human operator to quickly complete the interpretation of events and improve the operational workflow of processing events. As computer vision technology continues to evolve, the cost of the equipment continues to increase. Therefore, the stability of the system can be ensured through the design of the middleware and the calculation of the auxiliary functions of the software agents. At present, the recognition of characters for image processing is based on the technology of image recognition, which can provide a more flexible user experience. However, the dilemma of contactless design lies in the processing and calculation of images, which should reduce the inconvenience caused by delays.This article uses a Raspberry Pi as an example of a computing proxy application. After the visual inspection, the verification operation of the software is carried out. Our system is the detection of hand position and movement, and the detection of hand mark position in reconnaissance. In addition, we simultaneously developed management and remote control events and connected to the remote edge computer. After that, we successfully completed the automatic control and serial application of two different edge computing recognition jobs, and verified the image vision computing based on the Raspberry Pi software agent, which can be used for image vision analysis and control applications.","PeriodicalId":442331,"journal":{"name":"網際網路技術學刊","volume":"54 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139187806","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 Impact of Online Reviews Manipulation on Consumer Purchase Decision Based on The Perspective of Consumers’ Perception 基于消费者感知视角的网络评论操纵对消费者购买决策的影响

網際網路技術學刊 Pub Date : 2023-12-01 DOI: 10.53106/160792642023122407008

Minjuan Zhong Minjuan Zhong, Han Yang Minjuan Zhong, Keyang Zhong Han Yang, Xilong Qu Keyang Zhong, Zhenjin Li Xilong Qu

{"title":"The Impact of Online Reviews Manipulation on Consumer Purchase Decision Based on The Perspective of Consumers’ Perception","authors":"Minjuan Zhong Minjuan Zhong, Han Yang Minjuan Zhong, Keyang Zhong Han Yang, Xilong Qu Keyang Zhong, Zhenjin Li Xilong Qu","doi":"10.53106/160792642023122407008","DOIUrl":"https://doi.org/10.53106/160792642023122407008","url":null,"abstract":"Consumers depend on online reviews to influences their purchase decisions. On account of that,many vendors and retailers try to manipulate online reviews to mislead potential consumers to take risky purchase decisions. Many scholars have conducted a lot of research on the impact of online product reviews on consumer behavior and sales. However, the existing work are mainly based on the premise of real product reviews, but few attentions have been paid of fake ones. Based on the recognition results of deceptive reviews, this article explores whether consumers be aware or perceive it when deceptive reviews are flooding the online review system, and further analyze what influence will be imposed on final purchase decision with different perception. The empirical analysis of the questionnaire survey show that in the context of two different perceptions of consumers, deceptive reviews have significant differences in the results of purchase decisions. In addition, research also shows that consumers’ persuasive knowledge plays a moderating role between perceived deception and purchase decision.","PeriodicalId":442331,"journal":{"name":"網際網路技術學刊","volume":"87 3-4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139189769","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

Geolocation-based UAV-assisted Caching Strategies in Vehicular Networks 车载网络中基于地理定位的无人机辅助缓存策略

網際網路技術學刊 Pub Date : 2023-12-01 DOI: 10.53106/160792642023122407007

Ting Gong Ting Gong, Qi Zhu Ting Gong

引用次数: 0

A Cloud-Based Assessment of Arterial Stiffness Through Contour Analysis of A Photoplethysmography 基于云技术的动脉僵硬度评估--通过照相血压计的轮廓分析实现

網際網路技術學刊 Pub Date : 2023-12-01 DOI: 10.53106/160792642023122407006

Wen-Li Lee Wen-Li Lee, Koyin Chang Wen-Li Lee, Ying-Chen Chi Koyin Chang, Wen-Shou Chou Ying-Chen Chi, Chen-Long Wu Wen-Shou Chou

{"title":"A Cloud-Based Assessment of Arterial Stiffness Through Contour Analysis of A Photoplethysmography","authors":"Wen-Li Lee Wen-Li Lee, Koyin Chang Wen-Li Lee, Ying-Chen Chi Koyin Chang, Wen-Shou Chou Ying-Chen Chi, Chen-Long Wu Wen-Shou Chou","doi":"10.53106/160792642023122407006","DOIUrl":"https://doi.org/10.53106/160792642023122407006","url":null,"abstract":"Cardiovascular diseases (CVDs) are the leading cause of mortality globally. To effectively prevent CVDs, a variety of techniques have been employed to evaluate the mechanical properties of arteries, among which, aortic stiffness measured by aortic pulse wave velocity (PWV) has been proven to be an independent predictor of CVDs. However, the traditional way to measure PWV is complex and time consuming. Recent studies suggest the digital volume pulse (DVP) waveform to be an effective non-invasive method to obtain PWV. In this study, we present a cloud computing system that analyzes and calculates the relevant indices of arterial stiffness after receiving the measured DVP signals. The result of the analysis can be retrieved online for the user to view or download for further analysis. With this technique, arterial Stiffness Index (SI) for population can be obtained easily and inexpensively. This will help health authorities to do mass screening at population level and, hence, establish references of arterial SI for different cohorts by age, gender, ethnicity, and diseases.","PeriodicalId":442331,"journal":{"name":"網際網路技術學刊","volume":"11 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139192071","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

Small Convolutional Neural Network Trainer Designed through Transfer Learning in Dessert Classification 在甜点分类中通过迁移学习设计小型卷积神经网络训练器

網際網路技術學刊 Pub Date : 2023-12-01 DOI: 10.53106/160792642023122407009

Hua-Ching Chen Hua-Ching Chen, Hsuan-Ming Feng Hua-Ching Chen

{"title":"Small Convolutional Neural Network Trainer Designed through Transfer Learning in Dessert Classification","authors":"Hua-Ching Chen Hua-Ching Chen, Hsuan-Ming Feng Hua-Ching Chen","doi":"10.53106/160792642023122407009","DOIUrl":"https://doi.org/10.53106/160792642023122407009","url":null,"abstract":"This paper established a Convolutional Neural Network (CNN) with the concept of transfer learning, and combined the main feature analysis calculation and clustering algorithm to further demonstrate the superiority of the proposed small CNN trainer in the identification of traditional Kinmen desserts. Food dessert identification methods directly use skin texture, color, shape, and other features as the basis. This paper effectively extracted image features of an object by the small CNN trainer and classified the featured dataset into the right food categories. It was able to complete classification quickly and also achieved high-precision classification results. Different types of Kinmen desserts were identified through a multi-layer training cycle. A total of 100 training images for each of the 10 food categories and each image size is converted into a smaller training data set by capturing the important features through the CNN trainer. Then, the main features were generated and the dimensions of each food image data were reduced again by using the t-Distributed Stochastic Neighbor Embedding (t-SNE) or Principal Component Analysis (PCA) methods. An individually K-means or k-nearest neighbors (KNN) algorithms efficiently completed the grouping results and in the classified image restoration. The experimental results compared the classifications after the learning cycle of different trainers and showed that the highest accuracy that the appropriated CNN trainer of the proposed methology obtained was up to 99% with a minimum executing time of about 99.37 seconds.","PeriodicalId":442331,"journal":{"name":"網際網路技術學刊","volume":"11 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139189720","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

Constraints-based and One-time Modification Redactable Blockchain 基于约束和一次性修改的可重构区块链

網際網路技術學刊 Pub Date : 2023-12-01 DOI: 10.53106/160792642023122407005

Chunli Wang Chunli Wang, Yuling Chen Chunli Wang, Wensheng Jia Yuling Chen

{"title":"Constraints-based and One-time Modification Redactable Blockchain","authors":"Chunli Wang Chunli Wang, Yuling Chen Chunli Wang, Wensheng Jia Yuling Chen","doi":"10.53106/160792642023122407005","DOIUrl":"https://doi.org/10.53106/160792642023122407005","url":null,"abstract":"Immutability enables the blockchain to store data permanently, which is considered to be the most essential property to protect the security of blockchain technology. However, illegal content stored on the blockchain cannot be modified either. \"The right to be forgotten\" stipulates that the data subject has the right to request the data controller to delete personal data about him, and the controller is obliged to delete the personal data in a timely manner in such circumstances. Therefore, redactable blockchains are proposed to solve the aforementioned problems. The redactable blockchain relaxes the immutability of blockchains in a controlled manner. However, a participant who is granted the privilege to modify the blockchain, he/she may add inappropriate or malicious modifications to the content of historical blocks. In this article, we introduce a redactable blockchain where transaction owners restrict what editors can rewrite in transactions. When posting an editable transaction, the transaction owner indicates what can be edited and what cannot be edited in order to restrict a transaction modifier from making malicious changes to the content of the transaction. The modifier’s changes to the transaction are then validated by the validator and any malicious changes that do not meet the requirements will fail to be validated. To counteract collusive attacks between modifiers and validators, they will be held accountable and penalized.","PeriodicalId":442331,"journal":{"name":"網際網路技術學刊","volume":"37 22","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139195022","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

Using Improved YOLOv5 Model to Detect Volume for Logs in Log Farms 使用改进的 YOLOv5 模型检测日志农场中日志的体积

網際網路技術學刊 Pub Date : 2023-12-01 DOI: 10.53106/160792642023122407002

Xianqi Deng Xianqi Deng, Jianping Liu Xianqi Deng, Cheng Peng Jianping Liu, Yingfei Wang Cheng Peng

引用次数: 0

Martial Art Learning Optimization: A Novel Metaheuristic Algorithm for Night Image Enhancement 武术学习优化：用于夜间图像增强的新型元搜索算法

網際網路技術學刊 Pub Date : 2023-12-01 DOI: 10.53106/160792642023122407003

Jeng-Shyang Pan Jeng-Shyang Pan, Ling Li Jeng-Shyang Pan, Shu-Chuan Chu Ling Li, Kuo-Kun Tseng Shu-Chuan Chu, Hisham A. Shehadeh Kuo-Kun Tseng

{"title":"Martial Art Learning Optimization: A Novel Metaheuristic Algorithm for Night Image Enhancement","authors":"Jeng-Shyang Pan Jeng-Shyang Pan, Ling Li Jeng-Shyang Pan, Shu-Chuan Chu Ling Li, Kuo-Kun Tseng Shu-Chuan Chu, Hisham A. Shehadeh Kuo-Kun Tseng","doi":"10.53106/160792642023122407003","DOIUrl":"https://doi.org/10.53106/160792642023122407003","url":null,"abstract":"This paper proposes a human behavior-based optimization algorithm, Martial Arts Learning Optimization (MALO), for optimization problems in continuous spaces. The algorithm simulates the process of characters in martial arts learning so as to apply it to optimization problems. Characters in martial arts stories usually go through multiple stages of learning martial arts, such as self-study and leader teaching. Multiple learning stages of characters are modeled in this paper, utilizing the wisdom of the characters learning martial arts in the novel, enabling the optimization process. To verify and analyze the performance of the proposed algorithm, the algorithm is numerically tested on 30 benchmark functions, and it is found that its performance was better than the state-of-the-art nine algorithms. In addition, the algorithm is also used to solve the problem of nighttime image brightness enhancement. Compared with other image enhancement methods, the proposed MALO algorithm has superior results in both visual effects and quantitative image quality assessments.","PeriodicalId":442331,"journal":{"name":"網際網路技術學刊","volume":"245 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139193052","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

TA-Sum: The Extractive Summarization Research Based on Topic Information TA-Sum：基于主题信息的提取式总结研究

網際網路技術學刊 Pub Date : 2023-12-01 DOI: 10.53106/160792642023122407010

Fang Xie Fang Xie, Hao Li Fang Xie, Beiye Zhang Hao Li, Jianan He Beiye Zhang, Xincong Zhong Jianan He

{"title":"TA-Sum: The Extractive Summarization Research Based on Topic Information","authors":"Fang Xie Fang Xie, Hao Li Fang Xie, Beiye Zhang Hao Li, Jianan He Beiye Zhang, Xincong Zhong Jianan He","doi":"10.53106/160792642023122407010","DOIUrl":"https://doi.org/10.53106/160792642023122407010","url":null,"abstract":"Text summarization is divided into extractive summarization and abstractive summarization. The extractive summarization technology aims to extract some main phrases and sentences from the original text to form a short summary for people to read quickly. However, extractive summarization is faced with problems such as poor sentence coherence and incomplete information, which makes it difficult to screen out important sentences from the source text. DNN (Deep Neural Network) is widely used for text summarization task. This paper proposes a TA-Sum model based on the neural topic model. Introducing the topic information can help people understand the relevant main content of source text quickly. We obtain the topic information using the neural topic model and implement the attention mechanism to fuse the topic information with the text representation, which improves the semantic integrity and completeness of the summary. The experimental results on the large-scale English data sets CNN/Daily mail are improved by 0.37%, 0.11%, and 0.17% respectively compared with BertSum, which demonstrates the effectiveness of our method.","PeriodicalId":442331,"journal":{"name":"網際網路技術學刊","volume":"21 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139194706","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

Optimize the Performance of the Neural Network by using a Mini Dataset Processing Method 使用小型数据集处理方法优化神经网络性能

網際網路技術學刊 Pub Date : 2023-11-01 DOI: 10.53106/160792642023112406005

Jingliang Chen Jingliang Chen, Chenchen Wu Jingliang Chen, Shuisheng Chen Chenchen Wu, Yi Zhu Shuisheng Chen, Bin Li Yi Zhu

{"title":"Optimize the Performance of the Neural Network by using a Mini Dataset Processing Method","authors":"Jingliang Chen Jingliang Chen, Chenchen Wu Jingliang Chen, Shuisheng Chen Chenchen Wu, Yi Zhu Shuisheng Chen, Bin Li Yi Zhu","doi":"10.53106/160792642023112406005","DOIUrl":"https://doi.org/10.53106/160792642023112406005","url":null,"abstract":"In the case of traditional methods such as network models and algorithms are highly open source and highly bound to hardware, data processing has become an important method to optimize the performance of neural networks. In this paper, we combine traditional data processing methods and propose a method based on the mini dataset which is strictly randomly divided within the training process; and takes the calculation results of the cross-entropy loss function as the measurement standard, by comparing the mini dataset, screening, and processing to optimize the deep neural network. Using this method, each iteration training can obtain a relatively optimal result, and the optimization effects of each time are integrated to optimize the results of each epoch. Finally, in order to verify the effectiveness and applicability of this data processing method, experiments are carried out on MNIST, HAGRID, and CIFAR-10 datasets to compare the effects of using this method and not using this method under different hyper-parameters, and finally, the effectiveness of this data processing method is verified. Finally, we summarize the advantages and limitations of this method and look forward to the future improvement direction of this method.","PeriodicalId":442331,"journal":{"name":"網際網路技術學刊","volume":"17 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139295794","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