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2022 International Conference on Computer Applications Technology (CCAT)最新文献

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A Model of User Experience Design Research and Evaluation-Taking the Holiday KTV App as an Example 一种用户体验设计研究与评价模型——以假日KTV App为例
Pub Date : 2022-07-01 DOI: 10.1109/CCAT56798.2022.00014
Chung-Shun Feng, Tsu-Wu Hu, Chieh-Chi Kuan
This study will take Holiday, a famous singing venue, as the research object to investigate the service mode of Holiday's mobile app and the usability problems generated by it, and to improve the app interface to improve the logic and aesthetics of the app. The experiment will be conducted in two stages. The pre-test experiment will mainly focus on the original APP, integrate the improvement problems, add fixed operation details and draw up work items, and ask the testers to perform the same work items. After the improvement, we will conduct the post-test with the same work items and recording method. The data from the two phases of testing will be analyzed by performance evaluation method, weighted index and SUS system usability scale. The results of this study showed that the improved Holiday KTV APP not only improved the user's willingness to use and user experience, but also improved the user behavior of Holiday KTV APP, which proved that the optimization of the Holiday KTV interface design and the typical work items of this study had solved the problems of the original Holiday KTV APP.
本研究将以著名歌唱场所Holiday为研究对象,研究Holiday手机app的服务模式以及由此产生的可用性问题,并对app界面进行改进,提高app的逻辑性和美观性。实验将分两个阶段进行。预测实验将主要针对原有APP,整合改进问题,增加固定操作细节,拟定工作项,并要求测试人员执行相同的工作项。改进后,我们将使用相同的工作项和记录方法进行后测。两个阶段的测试数据将通过性能评价方法、加权指标和SUS系统可用性量表进行分析。本研究结果表明,改进后的假日KTV APP不仅提高了用户的使用意愿和用户体验,而且改善了假日KTV APP的用户行为,证明本研究对假日KTV界面设计和典型工作项目的优化解决了原假日KTV APP存在的问题。
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引用次数: 0
Exploring the Learning Indicators for Grasping the Learning Processes in a Computer-Based Simulation Learning Environment 探索计算机模拟学习环境中掌握学习过程的学习指标
Pub Date : 2022-07-01 DOI: 10.1109/CCAT56798.2022.00022
Yuling Hsu, S. Hsu
Considering the rapid development of the learning analytics (LA) field and its unique advantages in data mining in the learning process, we will combine the theories of learning science and geometric-concept development to expand the learning analytics function in current computer-based simulation-assisted learning platforms. We initially conducted statistical analysis to evaluate learners' retention- and application-level performance, and we found that learners with different background variables in the experimental situations showed significant differences; however, we obtained no further explanatory data from the data regarding the learning process. This study preliminary revealed the various learning analytics, then the LA algorithm can be embedded to execute supervised or unsupervised processing mining; investigate the multiple learning indicators, such as engagement levels; and detect the proficiency of the geometric area schema formed as well as the conceptual development levels.
考虑到学习分析(LA)领域的快速发展及其在学习过程中数据挖掘方面的独特优势,我们将结合学习科学理论和几何概念发展来扩展当前基于计算机的模拟辅助学习平台的学习分析功能。我们首先对学习者的留存和应用级表现进行了统计分析,发现不同背景变量的学习者在实验情境中表现出显著差异;然而,我们没有从数据中获得关于学习过程的进一步解释性数据。本研究初步揭示了各种学习分析,然后可以嵌入LA算法来执行监督或无监督的处理挖掘;调查多种学习指标,如参与程度;并检测所形成的几何面积图式的熟练程度和概念发展水平。
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引用次数: 0
Research on Assistant Diagnostic Method of TCM Based on BERT and BiGRU Recurrent Neural Network 基于BERT和BiGRU递归神经网络的中医辅助诊断方法研究
Pub Date : 2022-07-01 DOI: 10.1109/CCAT56798.2022.00018
Bin Wang, Feng Yuan, Shouqiang Chen, Chuanjie Xu
This paper proposes a model based on BERT and bidirectional GRU (BiGRU) recurrent neural network is proposed to realize disease diagnosis of patients. This method can improve the accuracy of traditional Chinese medicine (TCM) auxiliary diagnosis. First of all, this paper uses the BERT model to obtain the feature representation of Chinese medicine text and generates a text vector. Secondly, the obtained text vector is input into the BiGRU network to realize the extraction of TCM text features. Finally, the Softmax function is used to discriminate patients' diseases. The experimental results show that the accuracy, precision, recall, and F1 score of the model proposed in this paper all reach more than 80%, and it has a good disease prediction accuracy, which verifies the effectiveness of the method in this paper.
本文提出了一种基于BERT和双向GRU (BiGRU)递归神经网络的模型来实现对患者的疾病诊断。该方法可提高中医辅助诊断的准确性。首先,本文利用BERT模型获取中药文本的特征表示,并生成文本向量。其次,将得到的文本向量输入到BiGRU网络中,实现中医文本特征的提取。最后,利用Softmax函数对患者的疾病进行判别。实验结果表明,本文提出的模型的准确率、精密度、召回率、F1分数均达到80%以上,具有较好的疾病预测精度,验证了本文方法的有效性。
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引用次数: 0
Research on the Design and Development of Remote CNC Tool System Based on Computer 基于计算机的远程数控刀具系统的设计与开发研究
Pub Date : 2022-07-01 DOI: 10.1109/CCAT56798.2022.00015
Yanhong Zhang
Modern manufacturing industry pursues efficiency and quality, especially the existence of large-capacity CNC programs for multi-species, small-batch enterprises, increasingly dependent on remote control and management of CNC machine tools. High efficiency, high speed, low attenuation rate and low BER of remote two-way program transmission can significantly simplify workers' operation procedures, reduce program entry error rate and standardize the management of CNC programs. At present, the remote CNC tool system still has great room and potential to ameliorate in the level of precision, automation, integration and informatization, and plays a vital role and impact on the cost and quality of processed products. On account of this, this paper first analyses the concept and typical characteristics of CNC tool system, then studies the design and development of remote CNC tool system, and gives the development and utilization principles and Strategies of remote CNC tool system. This paper builds on WINDOWS to develop an application that runs on a PC and its compatible machines to achieve multitasking remote control of CNC tools. The system allows simultaneous file editing, etc., while performing RS-232 serial communication. The system does not require additional hardware and can make full use of the PC's hardware resources, with good compatibility and control accuracy. The application of this system can significantly improve the manufacturing efficiency of enterprises and realize networked and information-based manufacturing integrated CNC tool control.
现代制造业追求效率和质量,特别是存在多品种、小批量企业的大容量数控程序,越来越依赖于数控机床的远程控制和管理。远程双向程序传输效率高、速度快、衰减率低、误码率低,可显著简化工人操作程序,降低程序输入错误率,规范数控程序管理。目前,远程数控刀具系统在精度、自动化、集成化和信息化水平上仍有很大的提升空间和潜力,对加工产品的成本和质量起着至关重要的作用和影响。为此,本文首先分析了数控刀具系统的概念和典型特点,然后对远程数控刀具系统的设计与开发进行了研究,给出了远程数控刀具系统的开发利用原则和策略。本文在WINDOWS操作系统的基础上,开发了一个运行在PC机及其兼容机器上的应用程序,实现数控刀具的多任务远程控制。系统允许同时进行文件编辑等操作,同时进行RS-232串行通信。该系统不需要额外的硬件,可以充分利用PC机的硬件资源,具有良好的兼容性和控制精度。该系统的应用可以显著提高企业的制造效率,实现网络化、信息化的制造综合数控刀具控制。
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引用次数: 1
Research on the Application of CDIO Engineering Education Model Under the Background of Big Data 大数据背景下CDIO工程教育模式的应用研究
Pub Date : 2022-07-01 DOI: 10.1109/CCAT56798.2022.00021
Xueli Wang, Lin Cui, Sheng-Bin Wang
In the context of the era of big data, computers are particularly important to people's work, which makes the subject/professional of computer more and more popular and valued. For computer teaching, The Ministry of Education has also put forward relevant requirements and suggestions for computer science in colleges and universities. Combined with the current situation of computer basic teaching in colleges and universities, Design the educational goals of the curriculum, Teachers are required to take CDIO (Conceive, Design, Implement, Operate) teaching objectives as the core of the educational guidance project in carrying out relevant teaching guidance work, and promote students to complete their learning goals with high quality and efficiency. This paper will use the concept of the CDIO engineering education model and the big data background as the starting point. Starting from the problems existing in the traditional computer teaching in colleges and universities, it will discuss the necessity of integrating the CDIO engineering education model into the computer teaching in colleges and universities, and then put forward certain strategies
在大数据时代的背景下,计算机对人们的工作尤为重要,这使得计算机这门学科/专业越来越受欢迎和重视。对于计算机教学,教育部也对高校计算机学科提出了相关要求和建议。结合高校计算机基础教学的现状,设计课程的教育目标,要求教师在开展相关的教学指导工作时,以CDIO(构思、设计、实施、操作)教学目标为教育指导工程的核心,促进学生高质量、高效率地完成学习目标。本文将以CDIO工程教育模式的概念和大数据背景为出发点。从高校传统计算机教学中存在的问题出发,论述了将CDIO工程教育模式融入高校计算机教学的必要性,并提出了相应的策略
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引用次数: 0
E-Saklolo: A Mobile-based Crowdsourcing Platform for Disaster Risk Management and Emergency Response in the City of Santiago, Isabela Philippines E-Saklolo:菲律宾伊莎贝拉圣地亚哥市灾害风险管理和应急响应的移动众包平台
Pub Date : 2022-07-01 DOI: 10.1109/CCAT56798.2022.00012
Angelique Lacasandile, Kenneth R. Gunay, Chloe Sophia D. Bonifacio
Disasters can be natural, or human made hazard that results to a serious disruption of the functioning community or a society involving widespread human, material, economic or environmental losses and impacts, which exceeds the ability of the affected community or society to cope using its own resources. Unfortunately, a report showed an estimated $US 23 billion losses due to disaster occurrence in the Philippines. Furthermore, there are an even greater number of little hazard events that do not register on the global or even national news scene but continuously to affect the community. The objective of the study is to present the developed mobile-based and web-based system named E-Saklolo that responds to emergency situations such as medical, fire, rescue, and police within the community with the use of modern ICT solution. The system's goal is also to reduce casualties and mortality from disasters and emergencies. E-Saklolo was deployed in 2019 and was observed that there is an increase in resolved emergency cases, showing the effectiveness of the system in increasing emergency response efficiency. Future development will incorporate dashboards and analytics on the administrator side of the system to display relevant data and information required for reports.
灾害可以是自然灾害,也可以是人为灾害,严重破坏社区或社会的运作,造成广泛的人力、物质、经济或环境损失和影响,超出受影响社区或社会利用自身资源应付的能力。不幸的是,一份报告显示,菲律宾因灾害造成的损失估计为230亿美元。此外,还有更多的小危害事件没有登上全球甚至全国的新闻舞台,但却不断地影响着社区。该研究的目的是介绍已开发的基于移动和基于网络的系统E-Saklolo,该系统使用现代ICT解决方案对社区内的医疗、消防、救援和警察等紧急情况作出反应。该系统的目标还包括减少灾害和紧急情况造成的伤亡和死亡率。E-Saklolo于2019年部署,并观察到解决的紧急情况有所增加,表明该系统在提高应急响应效率方面的有效性。未来的开发将在系统的管理员端整合仪表板和分析,以显示报告所需的相关数据和信息。
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引用次数: 0
Remote Sensing Inversion of TN Concentration in Xiaolangdi Reservoir Optimized Neural Network by Conjugate Gradient Method 基于共轭梯度法的优化神经网络遥感反演小浪底水库全氮浓度
Pub Date : 2022-07-01 DOI: 10.1109/CCAT56798.2022.00019
Guozhong Wang, Zhongyuan Li, Jiyu Zhang, Yongli Li, Xiaoyu Li, Yuanzhang Lu
To popularize remote sensing monitoring technology of water quality, by measured data of total nitrogen (TN) from three sections in Xiaolangdi Reservoir from 2011 to 2015, together TM satellite data with the difference date in 48h to TN, eighteen groups of TN concentration data and six sets TM images were selected. The reflectance values of the first four bands were extracted after the images were processed. By WEKA software, fifteen band combination of TM images closely related to TN were extracted from 66 band combinations as the input vector, and the measured concentration of TN was the output vector, to create BP neural network. The model convergence speed was quickly after conjugate gradient method was adopted to train the network, the average relative error of prediction was 4.771 percent and less than 5 percent, the accuracy showed strong nonlinear processing ability for neural network due to the image data discrete in time and space. The research results will provide basis for water quality remote sensing monitoring in the reservoir in the future.
为推广水质遥感监测技术,利用2011 - 2015年小浪底水库3个断面总氮(TN)实测数据,结合48h TM卫星数据,选取18组TN浓度数据和6组TM影像。对图像进行处理后,提取前4个波段的反射率值。通过WEKA软件,从66个波段组合中提取与TN密切相关的TM图像的15个波段组合作为输入向量,以测量的TN浓度作为输出向量,构建BP神经网络。采用共轭梯度法对网络进行训练后,模型收敛速度快,预测的平均相对误差为4.771%,小于5%,由于图像数据在时间和空间上是离散的,该精度显示了神经网络较强的非线性处理能力。研究成果将为今后水库水质遥感监测提供依据。
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引用次数: 0
Development of a Web Application to Improve Price Quotation of Pledge Items in San Martín de Pangoa City, Peru 在秘鲁圣Martín de Pangoa市开发一个改善质保物品报价的Web应用程序
Pub Date : 2022-07-01 DOI: 10.1109/CCAT56798.2022.00011
Samuel I. Bellido-Contreras, Max Christopher Díaz-Romaní, Jeferson Cesar Unchupaico-Huaringa, Jorge Alfredo Guevara-Jimenez, N. Moggiano
A business application is related to everything that helps improve the business flow of a company, optimizing its processes and strategies. In this paper we discuss the project that was put into practice with a business application developed to improve the services provided by the company “Créditos, Negociaciones e Inversiones Cesar SAC”. The software was developed following the incremental methodology based on its analysis, planning, development, and testing phases. As a result, it was obtained an increase of 13.14% of the total income generated equivalent to 12,360 Peruvian soles, taking as criteria the annual amounts of the year 2020 and 2021, using the software in this last period as a complementary tool for the development of business processes of the company.
业务应用程序与帮助改进公司业务流程、优化其流程和策略的所有内容相关。在本文中,我们讨论了一个付诸实践的项目,该项目开发了一个商业应用程序,以改进“cremados, Negociaciones e Inversiones Cesar SAC”公司提供的服务。软件是按照基于分析、计划、开发和测试阶段的增量方法开发的。因此,以2020年和2021年的年度金额为标准,该公司获得了相当于12,360个秘鲁鞋底的总收入的13.14%的增长,在最后一个时期使用该软件作为公司业务流程开发的补充工具。
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引用次数: 0
Exploration of PBL Construction Mode of Cloud Classroom Based on Computer Technology of “Metalworking Practice 基于“金工实习”计算机技术的PBL云课堂建设模式探索
Pub Date : 2022-07-01 DOI: 10.1109/CCAT56798.2022.00020
Chuansheng Zhao
In the field of computer technology, cloud classroom is a new education mode based on multimedia teaching. It breaks the deficiencies in the traditional school curriculum and students' learning space limitations as well as the interactive communication between teachers and students' time. With the continuous development of China's higher education, society has put forward higher requirements for talent cultivation mode and skill-based application ability. How to reform and innovate the teaching of metallurgical practice in colleges and universities to meet the needs of social and economic construction is a topic of concern for current education researchers. Therefore, the teaching mode of metalworking practice in colleges and universities has become a new education mode that is urgently needed for the current social development. However, the practice requires certain conditions, and the cloud classroom based on computer technology can provide better conditions for the teaching of metalworking internship. In such a context, this paper discusses the construction of the PBL mode of the cloud classroom based on computer technology for “metalworking internship”, which can enhance the teaching effect by building a course practical training cloud platform and applying multimedia and network technology to the metalworking internship.
在计算机技术领域,云课堂是一种基于多媒体教学的新型教育模式。它打破了传统学校课程的不足和学生学习空间的限制以及师生时间的互动交流。随着中国高等教育的不断发展,社会对人才培养模式和技能型应用能力提出了更高的要求。如何改革和创新高校冶金实践教学,以适应社会经济建设的需要,是当前教育研究者关注的课题。因此,高校金工实习教学模式已成为当前社会发展迫切需要的一种新的教育模式。但是实践需要一定的条件,基于计算机技术的云课堂可以为金工实习的教学提供更好的条件。在此背景下,本文探讨了基于计算机技术的“金工实习”云课堂PBL模式的构建,通过构建课程实训云平台,将多媒体和网络技术应用于金工实习,提高教学效果。
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引用次数: 0
Application of Role-Playing to Enhance Participation in Computer Network Technology Course 运用角色扮演提高学生在计算机网络技术课程中的参与度
Pub Date : 2022-07-01 DOI: 10.1109/CCAT56798.2022.00023
Hui Mao
Based on the fact that many difficult points of Computer Network Technology course could be more effectively understood and mastered through the “interactive process”, the present paper explores to introduce the method of role-playing in this course teaching. Results show that the course used role-playing was obviously more impressive for students than other courses. The role-playing method could effectively enhance students' participation in the classroom and promote their ability of master difficult points of the course.
基于通过“互动过程”可以更有效地理解和掌握《计算机网络技术》课程的许多难点,本文探索在该课程教学中引入角色扮演的方法。结果表明,使用角色扮演的课程明显比其他课程给学生留下更深刻的印象。角色扮演法可以有效地提高学生的课堂参与度,促进学生对课程难点的掌握能力。
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引用次数: 0
期刊
2022 International Conference on Computer Applications Technology (CCAT)
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