Proceedings of the 2020 ACM International Conference on Intelligent Computing and its Emerging Applications最新文献

Intelligent Controlling System in Aquaculture 水产养殖智能控制系统

Proceedings of the 2020 ACM International Conference on Intelligent Computing and its Emerging Applications Pub Date : 2020-12-12 DOI: 10.1145/3440943.3444351

Yung-Cheng Yao, Xing-Rui Huang, Cheng-Yi Liu, Po-Wei Lin

引用次数: 0

An Effective Optimizer based on Global and Local Searched Experiences for Short-term Electricity Consumption Forecasting 基于全局和局部搜索经验的短期电力消费预测优化方法

Proceedings of the 2020 ACM International Conference on Intelligent Computing and its Emerging Applications Pub Date : 2020-12-12 DOI: 10.1145/3440943.3444723

Zhe Xiao, Zhi-Yan Fang, Chun-Wei Tsai

{"title":"An Effective Optimizer based on Global and Local Searched Experiences for Short-term Electricity Consumption Forecasting","authors":"Zhe Xiao, Zhi-Yan Fang, Chun-Wei Tsai","doi":"10.1145/3440943.3444723","DOIUrl":"https://doi.org/10.1145/3440943.3444723","url":null,"abstract":"A precise forecasting for the future short-term electricity consumption will be quite useful for making a good plan for the power demand management. Since deep neural network (DNN) provides an effective way for the short-term load forecasting, one of the focuses of this research is thus to use it to construct the prediction model. The gradient-based optimizers (GBOs) have been widely used in DNN algorithms in recent years; however, they make it easy for DNN to trap in poor local regions during the training process. In this research, we propose a new optimizer that is based on the searched experiences to solve this problem to enhance the performance of GBOs. More precisely, the proposed optimizer integrates the best position searched, Lévy flight, and gradient descent to preserve not only the diversification but also the intensification of search during the training process. To evaluate the performance of the proposed optimizer, we compare it with several state-of-the-art GBOs for DNN; namely, Adagrad, RMSprop, and Adam, for training a forecasting model for the short-term electricity consumption forecasting problem. The simulation results show that the proposed optimizer outperforms all the other GBOs in terms of the mean absolute percentage error.","PeriodicalId":310247,"journal":{"name":"Proceedings of the 2020 ACM International Conference on Intelligent Computing and its Emerging Applications","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125324305","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

Towards Story-based Summarization of Narrative Multimedia 基于故事的叙事多媒体总结

Proceedings of the 2020 ACM International Conference on Intelligent Computing and its Emerging Applications Pub Date : 2020-12-12 DOI: 10.1145/3440943.3444719

O-Joun Lee, Jin-Taek Kim, Eunsoon You

{"title":"Towards Story-based Summarization of Narrative Multimedia","authors":"O-Joun Lee, Jin-Taek Kim, Eunsoon You","doi":"10.1145/3440943.3444719","DOIUrl":"https://doi.org/10.1145/3440943.3444719","url":null,"abstract":"This study aims at summarizing narrative works (i.e., creative works that contain stories) in the consideration of their stories and types of required summaries. Various methods for story-based summarization have been proposed as a practical application of the character network analysis (i.e., a social network among characters that appeared in a story). However, the existing methods do not consider that summaries have different requirements according to their types (e.g., trailers, highlights, and recaps). These methods consist of three parts: (i) discretizing narrative works into regular units (e.g., scenes or shots), (ii) measuring the narrative significance of each unit, and (iii) generating summaries based on the narrative significance. Most of the existing studies have proposed their unique significance measurements based on individual narrative features. Also, since these methods have not considered the diverse types of summaries, they have simply selected top-N narrative units according to the measurements. In this study, we first introduce and redefine the narrative significance measurements. Subsequently, we propose a method for summarizing a narrative work regarding the requirements of the summaries by integrating the various significance measurements.","PeriodicalId":310247,"journal":{"name":"Proceedings of the 2020 ACM International Conference on Intelligent Computing and its Emerging Applications","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126854617","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

Automatic Seed Generation based Hybrid Fuzzing for Code Coverage Efficiency 基于混合模糊的代码覆盖效率自动种子生成

Proceedings of the 2020 ACM International Conference on Intelligent Computing and its Emerging Applications Pub Date : 2020-12-12 DOI: 10.1145/3440943.3444744

Soonhong Kwon, Yangseo Choi, Jong‐Hyouk Lee

引用次数: 0

Construction of Diving Record Wearable Device Based on IOT 基于物联网的潜水记录可穿戴设备的构建

Proceedings of the 2020 ACM International Conference on Intelligent Computing and its Emerging Applications Pub Date : 2020-12-12 DOI: 10.1145/3440943.3444345

Yen-Chiao Chuang, Cheng-Lung Wu, I-Yun Chen, Chien-Hung Wu

引用次数: 0

Reunion Block for High Magnification Histopathology Microscopic Image Analysis 用于高倍组织病理学显微图像分析的团聚块

Proceedings of the 2020 ACM International Conference on Intelligent Computing and its Emerging Applications Pub Date : 2020-12-12 DOI: 10.1145/3440943.3444356

Hyun-Cheol Park, Sang-Woong Lee

引用次数: 0

The Whale Optimization Algorithm for Hyperparameter Optimization in Network-Wide Traffic Speed Prediction 全网流量速度预测中超参数优化的鲸鱼优化算法

Proceedings of the 2020 ACM International Conference on Intelligent Computing and its Emerging Applications Pub Date : 2020-12-12 DOI: 10.1145/3440943.3444729

Zhang-Han Zhuang, Ming-Chao Chiang

{"title":"The Whale Optimization Algorithm for Hyperparameter Optimization in Network-Wide Traffic Speed Prediction","authors":"Zhang-Han Zhuang, Ming-Chao Chiang","doi":"10.1145/3440943.3444729","DOIUrl":"https://doi.org/10.1145/3440943.3444729","url":null,"abstract":"Since there are way too many possible combinations of hyperparameters for training a desired deep neural network (DNN) model, finding out a set of suitable values for them is typically a difficult topic for the researchers when they use DNN for solving forecasting problems. In addition to manual tuning and trial-and-error for hyperparameters, how to automatically determine the values of hyperparameters has become a critical problem in recent years. In this study, we present a metaheuristic algorithm based on the whale optimization algorithm (WOA) to select suitable hyperparameters for the DNN because WOA demonstrates brilliant convergence speed in many optimization problems and the local optima avoidance mechanism is devised to prevent the searches from trapping into suboptimal solution easily. To validate the feasibility of the proposed algorithm, we compared it with several state-of-the-art hyperparameter selection algorithms for DNN in solving the network-wide traffic speed prediction problem. The experimental results show that WOA not only behaves much more stable but also outperforms all the other hyperparameter selection algorithms compared in this study in terms of the mean square error, mean average error, and mean average percentage error.","PeriodicalId":310247,"journal":{"name":"Proceedings of the 2020 ACM International Conference on Intelligent Computing and its Emerging Applications","volume":"224 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128284330","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

Whole Slide Image Classification and Segmentation using Deep Learning 基于深度学习的全幻灯片图像分类和分割

Proceedings of the 2020 ACM International Conference on Intelligent Computing and its Emerging Applications Pub Date : 2020-12-12 DOI: 10.1145/3440943.3444357

S. Poudel, Sang-Woong Lee

引用次数: 0

Differential Privacy Protection with Group Onion Routing based on AI-based URL Classification 基于ai URL分类的组洋葱路由差分隐私保护

Proceedings of the 2020 ACM International Conference on Intelligent Computing and its Emerging Applications Pub Date : 2020-12-12 DOI: 10.1145/3440943.3444717

I. Liu, Yung-Lin Chang, Jung-Shian Li, Chuan-Gang Liu

{"title":"Differential Privacy Protection with Group Onion Routing based on AI-based URL Classification","authors":"I. Liu, Yung-Lin Chang, Jung-Shian Li, Chuan-Gang Liu","doi":"10.1145/3440943.3444717","DOIUrl":"https://doi.org/10.1145/3440943.3444717","url":null,"abstract":"Due to the rapid spread of tablet computers, smartphones, and other mobile information devices, wireless communication technology is fully developed and deployed widely. Mobile Internet access has been a main and important way to communicate the world in daily and it privacy protection also catches much attentions. The Onion Router, better known as Tor, is a technique for anonymous communication over internet without regional restrictions for privacy protection. Apart from this, Tor can reach sites that normal search engine cannot search. As the opinion of Tor, the transmitted data has been encrypted layer by layer, just like onion, before it reaching server. Our research proposed a system predicting URL's category with the use of machine learning technique before visiting. According to the category prediction, we represent different privacy level with three kinds of RSA key lengths on onion routing. Depending on various situations, our system can obtain the balance between security and time cost. Hence, our proposed scheme can make onion routing more flexible and efficiently.","PeriodicalId":310247,"journal":{"name":"Proceedings of the 2020 ACM International Conference on Intelligent Computing and its Emerging Applications","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127268850","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: 2

Proposed On-site Document Sharing System using FIDO 提出了基于FIDO的现场文档共享系统

Proceedings of the 2020 ACM International Conference on Intelligent Computing and its Emerging Applications Pub Date : 2020-12-12 DOI: 10.1145/3440943.3444740

Ming-Ying Lee, Hanbyeol Kang, Jun-Seok Kwak, Donghyun Kim, Hye-Lim Jeong, Jung-Taek Seo

引用次数: 0