Proceedings of the 2020 3rd International Conference on Algorithms, Computing and Artificial Intelligence最新文献

Natural Language Semantic Representation Method Based on the Scene Framework 基于场景框架的自然语言语义表示方法

Proceedings of the 2020 3rd International Conference on Algorithms, Computing and Artificial Intelligence Pub Date : 2020-12-24 DOI: 10.1145/3446132.3446394

Ping Zhu

引用次数: 0

Sentiment Analysis Tool for Spanish Tweets in the Ecuadorian Context 情感分析工具的西班牙文推文在厄瓜多尔上下文

Proceedings of the 2020 3rd International Conference on Algorithms, Computing and Artificial Intelligence Pub Date : 2020-12-24 DOI: 10.1145/3446132.3446424

Ismael Utitiaj, Paulina Morillo, Diego Vallejo-Huanga

{"title":"Sentiment Analysis Tool for Spanish Tweets in the Ecuadorian Context","authors":"Ismael Utitiaj, Paulina Morillo, Diego Vallejo-Huanga","doi":"10.1145/3446132.3446424","DOIUrl":"https://doi.org/10.1145/3446132.3446424","url":null,"abstract":"The huge amount of textual information that exists on social networks added by users through comments, has aroused a great interest in companies and research groups, which seek to use this information to identify trends and acceptance levels of brands, products, and services. A technique to know the level of acceptance or rejection of a particular topic, in an automated way, is the Sentiment Analysis. Some informatics tools incorporate this technique, however, there are few contributions to texts in Spanish. It is because of the difficulty of identifying different contexts, dialects, complex grammatical structures, and semantic language variances in each region. This article presents a web tool for the analysis of sentiments in texts written in Spanish that include Ecuadorian dialect or idioms. The tool was developed in R-Shiny with an approach lexicon-based. The tool allows the customization of the lexicons based on context and facilitates the automatic download of tweets according to search criteria such as the place, dates, and topic. To evaluate the effectiveness of the application, their result was compared with two commercial tools (Azure Text Analytics and IBM Watson NLU) and a manual score carried out by a group of people. The tests include the analysis of three corpora created from tweets. The results show the effectiveness of the tool to identify the sentiment polarity, especially in texts that include dialects, colloquial words, and negative expressions.","PeriodicalId":125388,"journal":{"name":"Proceedings of the 2020 3rd International Conference on Algorithms, Computing and Artificial Intelligence","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116049864","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

Monitoring Early Warning Signs Evolution Through Time 监测早期预警信号随时间的演变

Proceedings of the 2020 3rd International Conference on Algorithms, Computing and Artificial Intelligence Pub Date : 2020-12-24 DOI: 10.1145/3446132.3446173

Manal El Akrouchi, H. Benbrahim, I. Kassou

{"title":"Monitoring Early Warning Signs Evolution Through Time","authors":"Manal El Akrouchi, H. Benbrahim, I. Kassou","doi":"10.1145/3446132.3446173","DOIUrl":"https://doi.org/10.1145/3446132.3446173","url":null,"abstract":"In excessive business competition, detecting weak signals is very important to anticipate future changes and events. The process of detecting weak signals is very challenging, and many techniques were proposed to automatize this challenge but still needs the intervention of experts’ opinion. Understanding those detected signals and their evolution in time is crucial to reveal the alertness of possible future events and warnings. For this reason, this paper proposes a new algorithm to strengthen weak signals into early warning signs. The proposed algorithm aims to monitor and track weak signals’ evolution within time. The output will be a list of early warning signs and visualization to illustrate their evolution in time. Finally, to adequately understand the early warning signs obtained and enhance their semantic alertness, we used Word2Vec modeling to provide semantically similar words to these warning signs and improve their contextual alertness. We tested this algorithm on a web news dataset of 2006-2007 to detect early warning signs related to the 2008 financial crisis ahead of time. We obtained prominent results in strengthening and monitoring the evolution of early warning signs related to this crisis.","PeriodicalId":125388,"journal":{"name":"Proceedings of the 2020 3rd International Conference on Algorithms, Computing and Artificial Intelligence","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116394040","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

AEB Test Scene Extraction and Control Simulation based on Rain or Snow Weather 基于雨雪天气的AEB测试场景提取与控制仿真

Proceedings of the 2020 3rd International Conference on Algorithms, Computing and Artificial Intelligence Pub Date : 2020-12-24 DOI: 10.1145/3446132.3446194

Xinyue Yang, Haiyun Gan, Ying Yan

引用次数: 0

An anti-collision algorithm based on tag serial number extended grouping 基于标签序列号扩展分组的抗碰撞算法

Proceedings of the 2020 3rd International Conference on Algorithms, Computing and Artificial Intelligence Pub Date : 2020-12-24 DOI: 10.1145/3446132.3446189

Bowen Wang

{"title":"An anti-collision algorithm based on tag serial number extended grouping","authors":"Bowen Wang","doi":"10.1145/3446132.3446189","DOIUrl":"https://doi.org/10.1145/3446132.3446189","url":null,"abstract":"RFID tag recognition technology is widely used in logistics and retail industry. In order to solve the problem of long time delay of information transmission in the process of multi tag recognition, a new anti-collision algorithm based on extended group of tag serial number is proposed after analyzing the key technologies of multi tag recognition, especially the advantages and disadvantages of tag anti-collision technology. The algorithm adds recursive grouping tag recognition method based on the Manchester code. This method changes the information interaction logic between the reader and the tag in the existing algorithm, makes great use of the advantages of the Manchester code, and makes use of the characteristics of the error code in the Manchester code to reverse the bit of the collision tag conflict, which effectively simplifies the communication between the reader and the writer to identify multiple tags. Delay[1]. Compared with the existing algorithms, this algorithm has a higher efficiency in the field of multi tag recognition technology. It can quickly identify multiple tags in a short time, effectively improve the capacity of the system, and ensure the stability and reliability of the tag recognition system.","PeriodicalId":125388,"journal":{"name":"Proceedings of the 2020 3rd International Conference on Algorithms, Computing and Artificial Intelligence","volume":"125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125607871","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

Siamese Multiplicative LSTM for Semantic Text Similarity 语义文本相似度的暹罗乘法LSTM

Proceedings of the 2020 3rd International Conference on Algorithms, Computing and Artificial Intelligence Pub Date : 2020-12-24 DOI: 10.1145/3446132.3446160

Chao Lv, Fupo Wang, Jianhui Wang, Lei Yao, Xinkai Du

引用次数: 1

Dynamical Alignment and Estimation for Horizontal Attitude of UAV Based on Vision and IMU. 基于视觉和IMU的无人机水平姿态动态对准与估计。

Proceedings of the 2020 3rd International Conference on Algorithms, Computing and Artificial Intelligence Pub Date : 2020-12-24 DOI: 10.1145/3446132.3446161

Xueyong Wu, Jie Li, Cheng Zhang, Yu Yang, Yachao Yang

{"title":"Dynamical Alignment and Estimation for Horizontal Attitude of UAV Based on Vision and IMU.","authors":"Xueyong Wu, Jie Li, Cheng Zhang, Yu Yang, Yachao Yang","doi":"10.1145/3446132.3446161","DOIUrl":"https://doi.org/10.1145/3446132.3446161","url":null,"abstract":"Exact attitude estimation of an unmanned aerial vehicle (UAV) is the critical requirement for an autonomous and stable flight. Under dynamic conditions, the autopilot of a UAV cannot complete self-alignment and calculate its accurate attitude only by relying on an inertial measurement unit (IMU). This paper presents a dynamical alignment and estimation method for the horizontal attitude (the pitch and roll Euler angle) based on vision and inertial measurement units (IMU). Firstly, the horizontal attitude is estimated through image information of a visible light camera (hereinafter referred to as visual pose), and is used as the initial alignment input for IMU. Then the visual pose is corrected according to the normalized accelerometer output when UAV is stationary. Finally, Sage-Husa Adaptive Kalman Filter (SHAKF) is used for the fusion of the visual pose and the inertial attitude (the attitude calculated by the IMU). The simulation results show that the maximum estimation error of the UAV's horizontal attitude is within 3°, and the average estimation absolute error is less than 1°, which verifies the effectiveness of this method.","PeriodicalId":125388,"journal":{"name":"Proceedings of the 2020 3rd International Conference on Algorithms, Computing and Artificial Intelligence","volume":"5 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120868427","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

An Intelligent Forecasting Method for Cigarette Equipment Maintenance Based on Fuzzy Mathematics Improved Analytic Hierarchy Process 基于模糊数学改进层次分析法的卷烟设备维修智能预测方法

Proceedings of the 2020 3rd International Conference on Algorithms, Computing and Artificial Intelligence Pub Date : 2020-12-24 DOI: 10.1145/3446132.3446133

Li-ming Zhu, Min Zhang, Qiang Zhang

引用次数: 0

CLGNet: A New Network for Human Pose Estimation using Commodity Millimeter Wave Radar 基于商用毫米波雷达的人体姿态估计新网络

Proceedings of the 2020 3rd International Conference on Algorithms, Computing and Artificial Intelligence Pub Date : 2020-12-24 DOI: 10.1145/3446132.3446421

Qing Wang, Kai Wang, Wai Chen

引用次数: 2

Research on Survey Path Planning Based on mTSP Planning Model and Ant Algorithm 基于mTSP规划模型和蚁群算法的调查路径规划研究

Proceedings of the 2020 3rd International Conference on Algorithms, Computing and Artificial Intelligence Pub Date : 2020-12-24 DOI: 10.1145/3446132.3446144

Jia Li, Tianci Jiao, Yan Wang

{"title":"Research on Survey Path Planning Based on mTSP Planning Model and Ant Algorithm","authors":"Jia Li, Tianci Jiao, Yan Wang","doi":"10.1145/3446132.3446144","DOIUrl":"https://doi.org/10.1145/3446132.3446144","url":null,"abstract":"TSP is one of the most famous problems in graph theory, and it is often used in the fields of urban infrastructure planning, logistics distribution, and transportation route arrangement. So far, no effective algorithm has been found to deal with this type of problem. Scholars believe that large-scale examples of this type of problem cannot be solved with an accurate algorithm, and an effective approximate algorithm for this type of problem must be sought. In order to gain a deeper understanding of the mTSP problem, this paper takes the national survey route planning as an actual case, and combines the improved circle algorithm and the Ant Algorithm to propose a specific solution. Based on the large amount of real data collected, the research route planning of the research team of Beijing M University traversing 30 ethnic minority autonomous prefectures and 120 ethnic minority autonomous counties was used as a calculation case, and various constraints were comprehensively considered to construct a cluster center based on 18 clusters. The TSP planning model with time constraints splits provinces based on clustering results, regenerates the split provinces and neighboring provinces into a new improvement circle for optimization, and finally obtains a survey time of at least 9.5 years, and integrates a specific survey route.","PeriodicalId":125388,"journal":{"name":"Proceedings of the 2020 3rd International Conference on Algorithms, Computing and Artificial Intelligence","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130759354","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