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A Question Answering System for Situation Puzzle with SPQA 基于SPQA的情境题答疑系统
Frontiers in Computing and Intelligent Systems Pub Date : 2023-06-26 DOI: 10.54097/fcis.v4i2.10203
Tian Zhao
{"title":"A Question Answering System for Situation Puzzle with SPQA","authors":"Tian Zhao","doi":"10.54097/fcis.v4i2.10203","DOIUrl":"https://doi.org/10.54097/fcis.v4i2.10203","url":null,"abstract":"There are many questions answering (QA) system built for solving QA tasks. In 2020 and 2022, Allen Institute and the University of Washington proposed UnifiedQA and UnifiedQA-v2. Their core concept is that the semantic understanding and reasoning capabilities required by models are common, and may not require format specific models although the QA task forms are different. Behind this concept, I build a new QA model named SPQA, aiming to answer the situation puzzle questions by adding new situation-puzzle related dataset (SpQ). In addition, I evaluate the performance of SPQA and UnifiedQA-v2 for fine-tuning and prompt-tuning. The results of fine-tuning indicate that SpQ dataset is important for fine-tuning and prompt-tuning to answer situation puzzle questions well, but also make the answering ability of normal yes/no questions worse. Eventually, the results of prompt-tuning indicate that the effects of SpQ is larger and more significant on situation puzzle questions and normal yes/no questions under the same data scale. In the future work, the further research like building larger SpQ dataset should be considered.","PeriodicalId":346823,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129991762","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
Visual Analysis of Campus Card Consumption Data based on Matplotlib 基于Matplotlib的校园一卡通消费数据可视化分析
Frontiers in Computing and Intelligent Systems Pub Date : 2023-06-26 DOI: 10.54097/fcis.v4i2.10367
Qianhui Meng, Ruikang Sun
{"title":"Visual Analysis of Campus Card Consumption Data based on Matplotlib","authors":"Qianhui Meng, Ruikang Sun","doi":"10.54097/fcis.v4i2.10367","DOIUrl":"https://doi.org/10.54097/fcis.v4i2.10367","url":null,"abstract":"This paper selected the consumption data derived from the student campus card of the School of Management Science and Engineering of Anhui University of Finance and Economics as the research object. Initially, data cleansing and classification were conducted using Python and Excel. Subsequently, the Matplotlib library was utilized to visually analyze both overall data of student consumption and the dining data with its higher proportion. Through the in-depth study of the campus card data, a thorough understanding of students’ dining patterns was achieved. Furthermore, the study recorded fluctuations in cafeteria footfall at various times of the day, providing valuable reference for optimizing resources and informing management decision-making regarding the school canteen from multiple perspectives.","PeriodicalId":346823,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131057640","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
Application of Smart Site Construction Technology based on BIM Technology 基于BIM技术的智能站点建设技术应用
Frontiers in Computing and Intelligent Systems Pub Date : 2023-06-26 DOI: 10.54097/fcis.v4i2.10303
L. Rong
{"title":"Application of Smart Site Construction Technology based on BIM Technology","authors":"L. Rong","doi":"10.54097/fcis.v4i2.10303","DOIUrl":"https://doi.org/10.54097/fcis.v4i2.10303","url":null,"abstract":"In the construction industry, it is necessary to highlight the necessity of modern information technology application based on a comprehensive form and accelerate the overall process of smart site construction in order to promote the simultaneous improvement of engineering construction quality and efficiency. Government departments have paid great attention to quality issues in the construction stage of construction projects, and with the strong support of the government, with the continuous development of the construction industry, it has provided extensive spatial support for the application of BIM technology. In the smart site construction project, the application effect of BIM technology can not only improve the construction quality of the project, but also optimize the application effect of smart site construction technology while reducing the difficulty.","PeriodicalId":346823,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121879702","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
Robot Motion Planning with Optimization-based Algorithm and Neural Network: Unsupervised Path Regression 基于优化算法和神经网络的机器人运动规划:无监督路径回归
Frontiers in Computing and Intelligent Systems Pub Date : 2023-06-26 DOI: 10.54097/fcis.v4i2.10198
Yunfeng Kang, Yixin Mai
{"title":"Robot Motion Planning with Optimization-based Algorithm and Neural Network: Unsupervised Path Regression","authors":"Yunfeng Kang, Yixin Mai","doi":"10.54097/fcis.v4i2.10198","DOIUrl":"https://doi.org/10.54097/fcis.v4i2.10198","url":null,"abstract":"Planning collision-free motions for robots is challenging in environments with complex obstacle geometries. In this study, we combine the optimization-based algorithm and neural network to obtain a short and collision-free path through unsupervised path regression. The network can help to predict an educated initial path for an optimization-based planner, which will converge to a better solution. We compare different path representations, world representations, and also their combinations to improve the result. The motion planning problem is extended from a sphere robot in a single 2D world to a more complex static arm robot in multiple worlds. Through our experiments, we can find that in multiple worlds, the relative path with the signed distance field is the best combination for both robots. This is not only proved by metrics of feasible rate and loss but also by the visualization in the map.","PeriodicalId":346823,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130793715","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
Weed Recognition Method based on Hybrid CNN-Transformer Model 基于CNN-Transformer混合模型的杂草识别方法
Frontiers in Computing and Intelligent Systems Pub Date : 2023-06-26 DOI: 10.54097/fcis.v4i2.10209
Jun Zhang
{"title":"Weed Recognition Method based on Hybrid CNN-Transformer Model","authors":"Jun Zhang","doi":"10.54097/fcis.v4i2.10209","DOIUrl":"https://doi.org/10.54097/fcis.v4i2.10209","url":null,"abstract":"As an important task in precision agriculture, weed recognition plays a crucial role in crop management and yield increase. However, achieving high accuracy and efficiency at the same time remains a challenge. To address the balance between accuracy and timeliness in weed recognition, this paper proposes a hybrid CNN-Transformer model for weed recognition. The model uses a combination of convolutional neural network (CNN) and Transformer structures for feature extraction and classification, taking into account both global and local information. In addition, the proposed Transformer Block incorporates the SDTA (Segmentation Depth Transpose Attention) mechanism to improve timeliness. Furthermore, this paper improves the original ViT model to enhance its accuracy. Experimental results on the Deep Weeds dataset by Olsen et al. show that the proposed hybrid model outperforms the original Vision Transformer model in weed recognition accuracy (89.43% vs. 96.08%). This research provides an effective solution for weed recognition using a hybrid model, with high practical value and application prospects.","PeriodicalId":346823,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130896358","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
Analysis and Improvement of PUF-based Secure Anonymous User Authentication Scheme in Smart Home Environment 智能家居环境下基于puf的安全匿名用户认证方案分析与改进
Frontiers in Computing and Intelligent Systems Pub Date : 2023-06-26 DOI: 10.54097/fcis.v4i2.10305
Xinyu Zuo, Zhangang Wang, Anqian Li, Yuyan Huo, Shufang Niu
{"title":"Analysis and Improvement of PUF-based Secure Anonymous User Authentication Scheme in Smart Home Environment","authors":"Xinyu Zuo, Zhangang Wang, Anqian Li, Yuyan Huo, Shufang Niu","doi":"10.54097/fcis.v4i2.10305","DOIUrl":"https://doi.org/10.54097/fcis.v4i2.10305","url":null,"abstract":"With the rapid development of IoT technology, smart home is attracting much attention due to its convenience and comfort. In 2022, CHO et al. proposed an anonymous user authentication scheme using PUFs in smart home environment. However, this paper conducts a security analysis and finds that CHO et al.'s scheme cannot resist tracking attacks, replay attacks and cannot reach session keys. In order to overcome the shortcomings of CHO et al.'s scheme, this paper proposes an improved PUF-based secure anonymous user authentication scheme. After security analysis and comparison with related authentication schemes in terms of security and computational cost, it is demonstrated that the improved scheme is resistant to a variety of attacks and can achieve secure and efficient authentication.","PeriodicalId":346823,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133505381","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
Analysis and Improvement on a Three-Factor Authentication Scheme in IoT Environment 物联网环境下三因素认证方案的分析与改进
Frontiers in Computing and Intelligent Systems Pub Date : 2023-06-26 DOI: 10.54097/fcis.v4i2.10301
Anqian Li, Baoyuan Kang, Yuyan Huo, Xinyu Zuo, Shufang Niu
{"title":"Analysis and Improvement on a Three-Factor Authentication Scheme in IoT Environment","authors":"Anqian Li, Baoyuan Kang, Yuyan Huo, Xinyu Zuo, Shufang Niu","doi":"10.54097/fcis.v4i2.10301","DOIUrl":"https://doi.org/10.54097/fcis.v4i2.10301","url":null,"abstract":"With the development of IoT technology, more and more devices are connected to the Internet, which brings great convenience to people, but also security risks. As a result, IoT authentication scheme has become a research hotspot. In 2020, Lee et al. proposed a three-factor anonymous authentication scheme in IoT environment and claimed that their scheme can resist many known attacks. However, we find that their scheme not only has some drawbacks, but also has difficulty in resisting man-in-the-middle attack and impersonation attack. To overcome these drawbacks, we propose an improved scheme. Through security analysis and computational cost comparison, it is shown that the improved scheme is not only resistant to existing known attacks, but also has a smaller overhead in terms of computational cost and is suitable for resource-constrained IoT environment.","PeriodicalId":346823,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125658270","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
Fault Diagnosis of Hydraulic System based on SOM Neural Network 基于SOM神经网络的液压系统故障诊断
Frontiers in Computing and Intelligent Systems Pub Date : 2023-06-25 DOI: 10.54097/fcis.v4i2.9970
Ji Chen, Ao Xiao, Zhihui Li, Jiaqing Liu, Mengyuan Feng, Hao Xue, S. Gu
{"title":"Fault Diagnosis of Hydraulic System based on SOM Neural Network","authors":"Ji Chen, Ao Xiao, Zhihui Li, Jiaqing Liu, Mengyuan Feng, Hao Xue, S. Gu","doi":"10.54097/fcis.v4i2.9970","DOIUrl":"https://doi.org/10.54097/fcis.v4i2.9970","url":null,"abstract":"The working principle of hydraulic system is to use the flow and pressure of liquid in the system for energy transfer and conversion. Hydraulic system realizes various work tasks such as pushing, grasping, lifting, rotating, etc. by controlling the action of hydraulic actuators. Its advantages are high power density, good stability, fast response time, smooth power output, etc. The disadvantage is that the hydraulic system is easy to lose control of more points. In this paper, taking the horizontal outrigger hydraulic circuit as an example, the hydraulic pump leakage, etc. is used as a fault sample, and the SOM neural network is used for fault diagnosis to make timely and accurate diagnosis of the abnormal or fault state of the hydraulic system, give guidance on the operation of the hydraulic system, improve the reliability and safety of operation, and reduce the fault loss to a minimum.","PeriodicalId":346823,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116553018","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
Nurse Scheduling Algorithms based on Different Scenarios 基于不同场景的护士调度算法
Frontiers in Computing and Intelligent Systems Pub Date : 2023-06-25 DOI: 10.54097/fcis.v4i2.9700
Zhichao Zhang
{"title":"Nurse Scheduling Algorithms based on Different Scenarios","authors":"Zhichao Zhang","doi":"10.54097/fcis.v4i2.9700","DOIUrl":"https://doi.org/10.54097/fcis.v4i2.9700","url":null,"abstract":"This algorithm is based on a combination of integer programming, genetic algorithm, and decision tree to study nurse scheduling management problems in different scenarios. Firstly, the usage scenarios are classified based on the number of department members and energy levels. Then, the initial solution is obtained through integer programming based on information such as the actual energy level of nurses in the hospital. Finally, genetic algorithm is used to optimize the initial solution to obtain a final solution that is more in line with practical requirements. This algorithm can automatically classify or manually set use scenarios, and automatically obtain shift scheduling information by entering personalized parameters, which can meet the personal shift scheduling needs of nurses to the greatest extent, and can greatly reduce the high-frequency shift scheduling workload of Matron.","PeriodicalId":346823,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130956089","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
Exploring the Innovative Application of Azure Cloud Computing Platform in Cross-border E-commerce Operation 探索Azure云计算平台在跨境电商运营中的创新应用
Frontiers in Computing and Intelligent Systems Pub Date : 2023-06-25 DOI: 10.54097/fcis.v4i2.9746
Caiming Chen, Feng-Jian Wang
{"title":"Exploring the Innovative Application of Azure Cloud Computing Platform in Cross-border E-commerce Operation","authors":"Caiming Chen, Feng-Jian Wang","doi":"10.54097/fcis.v4i2.9746","DOIUrl":"https://doi.org/10.54097/fcis.v4i2.9746","url":null,"abstract":"This study focuses on the potential application of Azure cloud computing platforms in Cross-border E-commerce operations, especially in Cross-border E-commerce from China to Southeast Asia. First, we review the basic concepts and characteristics of the Azure cloud computing platform and its potential advantages in e-commerce operations, including improving efficiency, reducing costs, and supporting innovation. Then, we analyze the specific application of Azure's leading cloud technology tools, such as Azure Data Factory, Azure Machine Learning, Azure Databricks, and Azure Bot Service, in Cross-border E-commerce operations. And how to use these tools to optimize Cross-border E-commerce operations. In addition, we build an application framework of Azure in Cross-border E-commerce operation optimization, aiming to help Cross-border E-commerce enterprises make reasonable decisions in cloud technology adoption. In the final section, we summarize the main findings and contributions of this study, point out the limitations of the study, and make recommendations for future research. We expect this study to provide a reference for Cross-border E-commerce enterprises to adopt cloud technology, improve operational efficiency and reduce operating costs, and provide theoretical support for future related research.","PeriodicalId":346823,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121423138","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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