Proceedings of the 4th International Conference on Computer Science and Application Engineering最新文献

Sentiment Lexicon for Chinese College Students to Build and Apply 中国大学生情感词典的构建与应用

Proceedings of the 4th International Conference on Computer Science and Application Engineering Pub Date : 2020-10-20 DOI: 10.1145/3424978.3425088

Di Wu, Jianpei Zhang, Jing Yang

{"title":"Sentiment Lexicon for Chinese College Students to Build and Apply","authors":"Di Wu, Jianpei Zhang, Jing Yang","doi":"10.1145/3424978.3425088","DOIUrl":"https://doi.org/10.1145/3424978.3425088","url":null,"abstract":"Reviews from social media are considered as a significant information resource, which is useful for analyzing college students' sentiment and views. Students are eager to express and share their views on web regarding day-to-day activities. That information can be used to understand Chinese college students and their preference. Our research is meaningful in analyzing the psychological processes of students. In order to extract the fundamental student' associated sentiments from those reviews of plain texts, sentiment analysis has emerged and is regarded as a promising technology. In this regard, this paper proposes a novel lexicon model used in college students' domain to exploit semantic relationships between words in natural language text. The sentiment words are initially extracted through lexicon to describe the orientation and the polarity of the attitudes (positive, neutral or negative). Finally, sentiment strength of opinion is calculated and cause event is identified according to the finegrained lexicon. Comparison experimental results on real data from QQ speaking data validate the effectiveness and feasibility of the proposed lexicon model, providing high accuracy levels and low false positive rates. The described lexicon model gives the valuable knowledge to college manager who should detect the students' opinion trends.","PeriodicalId":178822,"journal":{"name":"Proceedings of the 4th International Conference on Computer Science and Application Engineering","volume":"315 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124468620","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

Research on Data Product Quality Evaluation Model Based on AHP and TOPSIS 基于AHP和TOPSIS的数据产品质量评价模型研究

Proceedings of the 4th International Conference on Computer Science and Application Engineering Pub Date : 2020-10-20 DOI: 10.1145/3424978.3425087

Yaqing Si, Qingjun Xiao, Jing Su, Sen Zeng, Xiao Hong

引用次数: 0

Feature Acquisition for Facial Expression Recognition Using Deep Convolutional Neural Network 基于深度卷积神经网络的面部表情识别特征获取

Proceedings of the 4th International Conference on Computer Science and Application Engineering Pub Date : 2020-10-20 DOI: 10.1145/3424978.3425013

Fan Dai, Weihua Li

引用次数: 0

Learning Motion Based Auxiliary Task for Cardiomyopathy Recognition with Cardiac Magnetic Resonance Images 基于学习运动的心肌病磁共振图像识别辅助任务

Proceedings of the 4th International Conference on Computer Science and Application Engineering Pub Date : 2020-10-20 DOI: 10.1145/3424978.3425122

Jingjing Xiao, Xiangjun Liu, Q. Tao, Jia Chen

引用次数: 0

Improve Quality of Experience of Users by Optimizing Handover Parameters in Mobile Networks 通过优化移动网络切换参数提高用户体验质量

Proceedings of the 4th International Conference on Computer Science and Application Engineering Pub Date : 2020-10-20 DOI: 10.1145/3424978.3425031

R. Fang, Gang Chuai, Weidong Gao

{"title":"Improve Quality of Experience of Users by Optimizing Handover Parameters in Mobile Networks","authors":"R. Fang, Gang Chuai, Weidong Gao","doi":"10.1145/3424978.3425031","DOIUrl":"https://doi.org/10.1145/3424978.3425031","url":null,"abstract":"As the demand for mobile services grows exponentially, the focus on wireless network optimization has been changed from Quality of Service (QoS) for the network to Quality of Experience (QoE) for users. The network optimization research about QoS in the past cannot surely meet the requirements of the users' QoE. Therefore, in this paper, a handover solution is proposed to improve the QoE while considering the QoE balance for a LTE network that provides different services. Compared with other optimization of QoE nowadays, the proposed solution balances and improves the QoE of users. The proposed solution controls handover parameter by running a handover optimization algorithm based on the dynamic particle swarm optimization (DPSO) in a central controller, which finally optimizes the overall QoE and reduces the proportion of users with extremely poor QoE. The simulation results show that the DPSO algorithm ensures the quality of the solution and increases the speed of convergence by nearly twice that of the standard particle swarm optimization algorithm (SPSO). After adopting the DPSO handover solution, the overall QoE of users is increased by 6.22 % and 4.59 % while the variance of users' QoE is decreased by 14.2 % and 22.6 %, compared with the full handover solution and the traditional handover solution respectively. The number of users with QoE less than 1.9 is reduced to 0 with the proposed solution.","PeriodicalId":178822,"journal":{"name":"Proceedings of the 4th International Conference on Computer Science and Application Engineering","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115516704","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

3D Visualization of Chart Scenery Based on OSG 基于OSG的海图场景三维可视化

Proceedings of the 4th International Conference on Computer Science and Application Engineering Pub Date : 2020-10-20 DOI: 10.1145/3424978.3425041

Jinming Song, Xiuwen Liu, Peng Gao

引用次数: 0

Information Hiding Algorithm Based on Spherical Segmentation of 3D Model 基于球面分割的三维模型信息隐藏算法

Proceedings of the 4th International Conference on Computer Science and Application Engineering Pub Date : 2020-10-20 DOI: 10.1145/3424978.3425136

Shuai Ren, Jie Xu, Qianqian Zhang, Lei Shi, Xuemei Lei, Zhuoyi Dan

引用次数: 2

Two-stage Airplane Detection with NMS Filtering in Remote Sensing Images 基于NMS滤波的两级飞机遥感图像检测

Proceedings of the 4th International Conference on Computer Science and Application Engineering Pub Date : 2020-10-20 DOI: 10.1145/3424978.3425114

Yucheng Song, J. Tian

{"title":"Two-stage Airplane Detection with NMS Filtering in Remote Sensing Images","authors":"Yucheng Song, J. Tian","doi":"10.1145/3424978.3425114","DOIUrl":"https://doi.org/10.1145/3424978.3425114","url":null,"abstract":"In the past few years, object detection based on deep learning have attracted attention from more and more organizations and researchers. Compared to one-stage object detection methods, two-stage methods would display a better performance of accuracy and precision. As airplane detection is a basic task in remote sensing images, we propose an airplane-detection method based Faster R-CNN and Feature Pyramid Networks (FPN), with Non-maximum Suppression (NMS) postprocessing. The Faster R-CNN is the most widely used two-stage detection framework, and is still the mainstream box-detection method in many famous detection research platforms like Detectron2 and MMDetection. For the various sizes of airplanes objects, the FPN is used as an excellent technique in recognition systems for detecting objects at different scales. Due to the prominent similarity between different classes of airplanes, the naive two-stage method would yield many duplicate boxes of multiple airplane classes for one object. To improve the recall and precision of the detection model, an NMS Filtering is proposed to prevent the phenomenon of multiple duplicate boxes for one object. The experiment showed that our method is able to accomplish the task in remote sensing for the detection and recognition of airplanes in 24 different classes including helicopter and wing aircrafts, and the NMS postprocessing would have a positive influence on improving the recall and mean average precision (mAP) metrics. The future work would be expanded on improving the precision of classification task.","PeriodicalId":178822,"journal":{"name":"Proceedings of the 4th International Conference on Computer Science and Application Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124715222","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

Conditional Generation of Adversarial Networks Based on Multiple Generators 基于多生成器的对抗网络条件生成

Proceedings of the 4th International Conference on Computer Science and Application Engineering Pub Date : 2020-10-20 DOI: 10.1145/3424978.3425115

Dunlang Luo, Min Jiang, Jiabao Guo

引用次数: 0

Performance Evaluation of Full Turnover-based Policy in the Flow-rack AS/RS Flow-rack AS/RS中基于全流动率策略的性能评价

Proceedings of the 4th International Conference on Computer Science and Application Engineering Pub Date : 2020-10-20 DOI: 10.1145/3424978.3425143

Meng Zhao, Zhuxi Chen

引用次数: 0