2022 Asia Conference on Algorithms, Computing and Machine Learning (CACML)最新文献_第9页

Modeling of air quality prediction for PM2.5 concentration in Chengdu area based on measured data 基于实测数据的成都地区PM2.5浓度空气质量预测模型

2022 Asia Conference on Algorithms, Computing and Machine Learning (CACML) Pub Date : 2022-03-01 DOI: 10.1109/CACML55074.2022.00097

Chenglin Yu, Ming Zhu, Hongyuan Zhang, Ke Liu, YongQiang Liu, He Zhou, Qian Yang

引用次数: 0

Using Big Data and Empirical Analysis to Optimize The Decision-Making of Smart City Tourism Logistics Service System 基于大数据和实证分析的智慧城市旅游物流服务系统决策优化

2022 Asia Conference on Algorithms, Computing and Machine Learning (CACML) Pub Date : 2022-03-01 DOI: 10.1109/CACML55074.2022.00140

Chuling Chen, Qin Xue

引用次数: 0

Approximating Permutations with Neural Network Components for Travelling Photographer Problem 用神经网络分量逼近旅行摄影师问题的排列

2022 Asia Conference on Algorithms, Computing and Machine Learning (CACML) Pub Date : 2022-03-01 DOI: 10.1109/CACML55074.2022.00036

C. Sin

{"title":"Approximating Permutations with Neural Network Components for Travelling Photographer Problem","authors":"C. Sin","doi":"10.1109/CACML55074.2022.00036","DOIUrl":"https://doi.org/10.1109/CACML55074.2022.00036","url":null,"abstract":"Most of current inference techniques rely upon Bayesian inference on Probabilistic Graphical Models of observations, and does prediction and classification on observations rather well. Event understanding of machines with observation inputs needs to deal with understanding of the relationship between sets of observations, and thus there is a crucial need to build models and come up with effective data structures to accumulate and organize relationships between observations. Given a set of states probabilisitcally-related with observations, this paper attempts to fit a permutation of states to a sequence of observation tokens (The Travelling Photographer Problem). We have devised a machine learning inspired architecture for randomized approximation of state permutation, facilitating parallelization of heuristic search of permutations. Our algorithm is able to solve The Travelling Photographer Problem with very small error. We demonstrate that by mimicking components of machine learning such as normalization, dropout, lambda layer with randomized algorithm, we are able to devise an architecture which solves TPP, a permutation NP-Hard problem. Other than TPP, we are also able to provide a 2-Local improvement heuristic for the Travelling Salesman Problem (TSP) with similar ideas.","PeriodicalId":137505,"journal":{"name":"2022 Asia Conference on Algorithms, Computing and Machine Learning (CACML)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129990087","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

An Electronic Contract Management System Based on Blockchain A case study of technology framework with improved algorithms 基于区块链的电子合同管理系统基于改进算法的技术框架案例研究

2022 Asia Conference on Algorithms, Computing and Machine Learning (CACML) Pub Date : 2022-03-01 DOI: 10.1109/CACML55074.2022.00027

Sheng Guo

{"title":"An Electronic Contract Management System Based on Blockchain A case study of technology framework with improved algorithms","authors":"Sheng Guo","doi":"10.1109/CACML55074.2022.00027","DOIUrl":"https://doi.org/10.1109/CACML55074.2022.00027","url":null,"abstract":"Contract management is the core of management business that implements enterprise risk management and internal control. The quality of contract management directly affects the success or failure of the company's operations. However, the contract approval process of manual management is not clear: the level of information utilization is not high, resulting in low business processing efficiency with wasting huge man-power and material resources. Hence, many companies have been working on finding a simple and practical software to manage contracts. The article advances an electronic contract management software. The existing electronic contract system is not secure enough in encryption because of the shortcoming of easily forgetting and pretending. The new system adds a private key login through a coin-free open chain technology which is used in hospital, government, military, university and other special scenes, achieved perfect security guarantee. This paper discusses several crucial mechanisms implemented for the goals of designing the system, and gives out relevant methods and process of the implementation. Guided by system engineering theory, this thesis also discusses the modeling and optimization problems of consensus mechanism. The article finally makes analysis on the research process and results, discusses the advantages and prospects of the technology, and points out problems remaining to be solved.","PeriodicalId":137505,"journal":{"name":"2022 Asia Conference on Algorithms, Computing and Machine Learning (CACML)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131179230","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

The research of the optimized solutions to Raft consensus algorithm based on a weighted PageRank algorithm 基于加权PageRank算法的Raft共识算法优化解的研究

2022 Asia Conference on Algorithms, Computing and Machine Learning (CACML) Pub Date : 2022-03-01 DOI: 10.1109/CACML55074.2022.00135

Yu-shi Wu, Yuansai Wu, Yiran Liu, Tingjun Shi

引用次数: 5

Bayesian Optimization Based on Pseudo Labels 基于伪标签的贝叶斯优化

2022 Asia Conference on Algorithms, Computing and Machine Learning (CACML) Pub Date : 2022-03-01 DOI: 10.1109/CACML55074.2022.00043

Waner Chen, Zhongwei Wu, Jiewen Xu, Yuehai Wang

{"title":"Bayesian Optimization Based on Pseudo Labels","authors":"Waner Chen, Zhongwei Wu, Jiewen Xu, Yuehai Wang","doi":"10.1109/CACML55074.2022.00043","DOIUrl":"https://doi.org/10.1109/CACML55074.2022.00043","url":null,"abstract":"The performance of a machine learning or deep learning algorithm is heavily influenced by its hyperparameters. The selection of the hyperparameters is of great significance. To automatically find a superior-performing set of hyperparameters, Bayesian optimization is a common and effective hyperparameter optimization method. And an early stopping strategy is usually employed in the optimization algorithm to improve efficiency. The early stopped trials cannot run to the end, so their final performance metrics are unavailable. Therefore, the existing Bayesian optimization algorithms fail to use the trials terminated early as samples for modeling. This may result in less information participating in the modeling, which leads to high model uncertainty. In this paper, we propose Bayesian optimization based on pseudo labels (BOPL). We apply the extrapolation of learning curves as the early stopping strategy and the pseudo labels obtainment method. We use the pseudo labels of all trials to model the surrogate model in Bayesian optimization, thereby avoiding the waste of information contained in the early stopped trials. Experiments on the ResNet-18 on the CIFAR-100 dataset show that the proposed BOPL consistently outperforms vanilla Bayesian and Bayesian with early stopping. It proves the effectiveness of the proposed method, which finds better-performing hyperparameters at a faster rate. The proposed method is versatile, conceptually simple, and easy to implement.","PeriodicalId":137505,"journal":{"name":"2022 Asia Conference on Algorithms, Computing and Machine Learning (CACML)","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121270671","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 Multi-Objective Topology Optimization Method Used in Simultaneous Constraints of Natural Frequency and Static Stiffness 一种同时约束固有频率和静刚度的多目标拓扑优化方法

2022 Asia Conference on Algorithms, Computing and Machine Learning (CACML) Pub Date : 2022-03-01 DOI: 10.1109/CACML55074.2022.00010

Wen Wang, Tian Qingguo, Wang Fengbin, Fan Yesen, Zheng Shikun, Zhang Wenhui

引用次数: 0

Research on The Development of Commercial Digital Economy Based on Information Driven 基于信息驱动的商业数字经济发展研究

2022 Asia Conference on Algorithms, Computing and Machine Learning (CACML) Pub Date : 2022-03-01 DOI: 10.1109/CACML55074.2022.00123

Rong Zhang, Fan Zhang

引用次数: 0

SE-VPR: Semantic Enhanced VPR Approach for Visual Localization SE-VPR:语义增强VPR视觉定位方法

2022 Asia Conference on Algorithms, Computing and Machine Learning (CACML) Pub Date : 2022-03-01 DOI: 10.1109/CACML55074.2022.00131

Haoyuan Pei, Ji-kai Wang, Zonghai Chen

引用次数: 0

Application of Improved Entropy-Weight TOPSIS Model Based on Gray Correlation Method (EWTG) to River Outfall Water Quality Evaluation 基于灰色关联法(EWTG)的改进熵权TOPSIS模型在河流出水口水质评价中的应用

2022 Asia Conference on Algorithms, Computing and Machine Learning (CACML) Pub Date : 2022-03-01 DOI: 10.1109/CACML55074.2022.00034

Hui Yuan, Yuan Xu, Shaoqiang Han, Meng Sun, Nan Ma, Zhang Hao, Maohui Liu

{"title":"Application of Improved Entropy-Weight TOPSIS Model Based on Gray Correlation Method (EWTG) to River Outfall Water Quality Evaluation","authors":"Hui Yuan, Yuan Xu, Shaoqiang Han, Meng Sun, Nan Ma, Zhang Hao, Maohui Liu","doi":"10.1109/CACML55074.2022.00034","DOIUrl":"https://doi.org/10.1109/CACML55074.2022.00034","url":null,"abstract":"River outfall water quality evaluation is an important issue for the local government in water environmental protection and management decision. The entropy-weight TOPSIS model was redesigned basing on grey correlation method (EWTG) in this paper and make a water quality evaluation for 22 river outfalls with 4 monitoring indicators of Duliujian River in Tianjin. The informative weighting was introduced to reduce errors caused of subjective weighting. Then the grey relativity of ideal distances solution and non-ideal distances solution distance and various index was calculated. Finally, the water quality was evaluated the by the relative closeness. Comprehensive closeness degree and geometric similarity relation were comprehensively considered in this model. By comparing entropy-weight TOPSIS model and comprehensive water quality index method, this model with good reliability and stability could be used to river outfalls water environment quality. Evaluating river outfalls water quality by this model to offer a technological support for environmental remediation.","PeriodicalId":137505,"journal":{"name":"2022 Asia Conference on Algorithms, Computing and Machine Learning (CACML)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125433731","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