Proceedings of the 2020 6th International Conference on Computing and Artificial Intelligence最新文献_第5页

An Automatic Design of Camouflage Patterns Based on CNNs 基于cnn的伪装图案自动设计

Proceedings of the 2020 6th International Conference on Computing and Artificial Intelligence Pub Date : 2020-04-23 DOI: 10.1145/3404555.3404637

Xinjian Wei, Kaidi Wang, Guangxu Li, Hyoungseop Kim

引用次数: 2

Self-Matching Moving Target Detection Algorithm Based On Gaussian Mixture Model And CSIFT 基于高斯混合模型和CSIFT的自匹配运动目标检测算法

Proceedings of the 2020 6th International Conference on Computing and Artificial Intelligence Pub Date : 2020-04-23 DOI: 10.1145/3404555.3404648

Qiang Wu, Jiaxiang Zhao, Xin Zheng

引用次数: 2

A Fingerprint Enhancement and Second-Order Markov Chain Based Malicious Encrypted Traffic Identification Scheme 基于指纹增强和二阶马尔可夫链的恶意加密流量识别方案

Proceedings of the 2020 6th International Conference on Computing and Artificial Intelligence Pub Date : 2020-04-23 DOI: 10.1145/3404555.3404590

Daichong Chao

引用次数: 2

Offloading Strategy for Edge Computing Tasks Based on Cache Mechanism 基于缓存机制的边缘计算任务卸载策略

Proceedings of the 2020 6th International Conference on Computing and Artificial Intelligence Pub Date : 2020-04-23 DOI: 10.1145/3404555.3404575

Juan Fang, Wenzheng Zeng

{"title":"Offloading Strategy for Edge Computing Tasks Based on Cache Mechanism","authors":"Juan Fang, Wenzheng Zeng","doi":"10.1145/3404555.3404575","DOIUrl":"https://doi.org/10.1145/3404555.3404575","url":null,"abstract":"Aiming at the task offloading in edge computing, this paper proposes a task offloading algorithm that utilizes the cache function of the edge server. When a task is uploaded to the edge server, it is determined whether this type of task is uploaded to the edge server for the first time. If it is determined to be yes, then the corresponding task content is cached on this server, and each task is set to have been cached the same. The execution delay and energy consumption of computing nodes of type content will be reduced. When a task that has cached the same type of content is uploaded to the edge server, the pre-set evaluation parameters take into account factors such as delay and energy consumption to calculate the optimal processing position for the task, so that each uploaded task can be executed in the least costly manner, thereby achieving the purpose of reducing the operating cost of the entire system. We use iFogSim simulator for simulation experiments. Simulation results show that this strategy can effectively reduce the latency and energy consumption of edge systems. In the ideal case, the task latency and energy consumption are reduced by 15% and 18% respectively compared to the original algorithm.","PeriodicalId":220526,"journal":{"name":"Proceedings of the 2020 6th International Conference on Computing and Artificial Intelligence","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129193363","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: 4

Research on Prediction Model of College Students' Growth Based on Mobile Location Data Mining: Take Hunan Mass Media College as an example 基于移动位置数据挖掘的大学生成长预测模型研究——以湖南传媒学院为例

Proceedings of the 2020 6th International Conference on Computing and Artificial Intelligence Pub Date : 2020-04-23 DOI: 10.1145/3404555.3404580

Yanshu Liu, Can Yi

{"title":"Research on Prediction Model of College Students' Growth Based on Mobile Location Data Mining: Take Hunan Mass Media College as an example","authors":"Yanshu Liu, Can Yi","doi":"10.1145/3404555.3404580","DOIUrl":"https://doi.org/10.1145/3404555.3404580","url":null,"abstract":"With the rapid development of mobile internet technology, mobile terminal APP is closely related to the daily life of contemporary university students. This paper analyzes the algorithm of location data by obtaining the location data samples of university student terminal APP and defines the positions in semantics by obtaining the trajectory route of students' behavior. Analyze the daily behavior habits, social relationship, personal interests and hobbies and so on of university students by characteristics of university students' daily behaviors and the data of their moving tracks. In order to build a computational model for similarity of university students' user behavior to analyze the behavior of university students and induce four user types of university students with similar behaviors according to the classification of user behavior of university students by similarity calculation model. In order to carry out corresponding learning career planning guidance for different types of university students to establish a prediction model for the growth of university students which has been verified that it has a practical guiding significance by tests.","PeriodicalId":220526,"journal":{"name":"Proceedings of the 2020 6th International Conference on Computing and Artificial Intelligence","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130009189","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

A Distributed Anomaly Filtering Algorithm for Heterogeneous Data Based on City Computing 基于城市计算的异构数据分布式异常过滤算法

Proceedings of the 2020 6th International Conference on Computing and Artificial Intelligence Pub Date : 2020-04-23 DOI: 10.1145/3404555.3404636

Shiwei Wang, Yangyang Li, Xiaobin Xu, Guijie Yue

引用次数: 0

Adaptive Spatial Clustering for Multi-Dimensional Data and Its Cloud Model Representation 多维数据的自适应空间聚类及其云模型表示

Proceedings of the 2020 6th International Conference on Computing and Artificial Intelligence Pub Date : 2020-04-23 DOI: 10.1145/3404555.3404634

Bin Gao, Xinhai Zhang, Xiaobin Xu, Yifeng Liu

引用次数: 1

Maven Loss with AGW-Net for Biomedical Image Segmentation 基于AGW-Net的Maven损失生物医学图像分割

Proceedings of the 2020 6th International Conference on Computing and Artificial Intelligence Pub Date : 2020-04-23 DOI: 10.1145/3404555.3404561

Yuze Li, Kaijun Wang, Hehui Gu

引用次数: 0

Uncertainty Management in Situation Awareness for Cyber-Physical Systems: State of the Art and Challenge 信息物理系统态势感知中的不确定性管理:现状与挑战

Proceedings of the 2020 6th International Conference on Computing and Artificial Intelligence Pub Date : 2020-04-23 DOI: 10.1145/3404555.3404558

Xin Tao, Didem Gürdür Broo, Martin Törngren, De-Jiu Chen

{"title":"Uncertainty Management in Situation Awareness for Cyber-Physical Systems: State of the Art and Challenge","authors":"Xin Tao, Didem Gürdür Broo, Martin Törngren, De-Jiu Chen","doi":"10.1145/3404555.3404558","DOIUrl":"https://doi.org/10.1145/3404555.3404558","url":null,"abstract":"Cyber-Physical Systems (CPS) are a result of highly cross-disciplinary processes and are evolving to perform increasingly challenging tasks in dynamically changing environments. This leads to an increasing CPS complexity and therefore the management of uncertainty to ensure the trustworthiness of these systems is needed. Our paper focuses on uncertainty management (UM) both in general and more specifically in the context of CPS situation awareness (SA). The motivation behind this is the important role of SA and its many inherent uncertainties. To this end, firstly, a literature review is conducted to acquire the state of the art of UM. Later, we present findings and observations from the literature review, with two main challenges identified - inconsistent understanding and terminology among a multitude of uncertainty perspectives, and a lack of collaboration among different communities. On this basis, lastly, two case studies are conducted to exemplify the challenges and provide brief ideas on how to deal with them. The whole investigation in the paper suggests an urgent strengthening of common understanding through enhanced collaboration and regulations.","PeriodicalId":220526,"journal":{"name":"Proceedings of the 2020 6th International Conference on Computing and Artificial Intelligence","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133674486","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

Voice Conversion towards Arbitrary Speakers With Limited Data 有限数据下任意说话人的语音转换

Proceedings of the 2020 6th International Conference on Computing and Artificial Intelligence Pub Date : 2020-04-23 DOI: 10.1145/3404555.3404627

Ying Zhang, Wenjun Zhang, Dandan Song

{"title":"Voice Conversion towards Arbitrary Speakers With Limited Data","authors":"Ying Zhang, Wenjun Zhang, Dandan Song","doi":"10.1145/3404555.3404627","DOIUrl":"https://doi.org/10.1145/3404555.3404627","url":null,"abstract":"Voice conversion towards a specific speaker requires a large number of target speaker's utterances, which is expensive in practice. This paper proposes a speaker-adaptive voice conversion (SAVC) system, which accomplishes voice conversion towards arbitrary speakers with limited data. First, a multi-speaker voice conversion (MSVC) model is trained to learn the shared information between speakers and build a speaker latent space. Second, utterances of a new target speaker are used to fine tune the MSVC model aiming to learn the voice of the target speaker. In the two steps, phonetic posteriorgrams (PPGs), a speaker-independent linguistic feature, and speaker embeddings such as i-vector or x-vector are encoded to train the model. In order to achieve better results, two different adaptive approaches are explored: adaptation on the whole MSVC model or additional linear-hidden layers (AHL). As the results show, both adaptive approaches significantly outperform the MSVC model without adaptation. Besides, the whole adapted model based on x-vector gets a higher similarity to target speaker within 10 utterances.","PeriodicalId":220526,"journal":{"name":"Proceedings of the 2020 6th International Conference on Computing and Artificial Intelligence","volume":"225 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133846013","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