检索结果-内蒙古大学图书馆

Chinese Automation Congress (CAC)

作者： Su, Zhaolu Yu, Yang Duan, Mingming Wang, Mushu Electrificat Co CCCC First Highway Engn Co Ltd Beijing Peoples R China Shandong Jiaotong Univ Sch Informat Sci & Elect Engn Jinan Peoples R China

ISBN: (纸本)9781728176871

With the development of high-speed roads and increase of lighting, ventilation and monitoring devices, it is necessary to study a real-time and robust voltage stability monitoring method. In this paper, a new method of voltage monitoring is proposed, and this method relies on voltage dynamical entropy and its deviation. At the beginning of the paper, the voltage is symbolized by using a maximum-entropy-based clustering algorithm (MECA), and the MECA is put forward in this paper. Then, a dynamical pattern is constructed, and voltage dynamical entropy is calculated of a short-term signals. The entropy is used to describe the voltage fluctuation and voltage dynamical properties. Subsequently, the entropy and a voltage deviation consist of a voltage feature. And a fuzzy classifier is constructed and used for monitoring a voltage stability status. At last, a simulation is given to demonstrate feasibility and effectiveness of the proposed method.

关键词： voltage monitoring dynamical pattern clustering algorithm information entropy feature recognition

来源：评论

学校读者我要写书评

暂无评论

A Method for Quickly Establishing Personas 1

引用

1st International Conference on Artificial Intelligence in HCI (AI-HCI) Held as Part of the 22nd International Conference on Human-Computer Interaction (HCII)

作者： Hou, Wen-jun Yan, Xiang-yuan Liu, Jia-xin Beijing Univ Posts & Telecommun Sch Digital Media & Design Arts Beijing 100876 Peoples R China Beijing Univ Posts & Telecommun Beijing Key Lab Network Syst & Network Culture Beijing 100876 Peoples R China

ISBN: (数字)9783030503345

ISBN: (纸本)9783030503338;9783030503345

The use of personas can help teams better understand the characteristics of users, which leads to more accurately discovery the problems and real pain points that users face. At present, there are two main ways to establish personas. One is to generate personas qualitatively or quantitatively through interviews, questionnaires, etc. These processes are related to the experiences of analysts and the statistical methods used, usually resulting in different conclusions and spending much time. The other is that the technical teams directly obtain the users' operation data on the products and use algorithm models to automatically generate personas. But this method is only suitable for mature products or existing functions, while the questionnaire method has nothing to do with mature products and functions. In this paper, we present persona segmentation through K-Means and PAM clustering algorithms in machine learning for questionnaire data, including mixed data, as an objective, quick, low-cost method for establishing personas. The method consists of four steps: first, design questionnaire. Second, transform the multi variables caused by multiple choice questions into a single variable. K-Means clustering algorithm is used for the continuous data of multi variables. The rule-based clustering method is used for the classified data. Then, cluster the processed data by PAM. The fourth step is to create personas, which are labeled in this paper. In the end, we demonstrate that the method is appropriate to create useful personas by machine evaluation and expert evaluation.

关键词： Personas Questionnaire clustering algorithm Machine learning Label

来源：评论

学校读者我要写书评

暂无评论

Improved Initial clustering Center Selection Method for k-means algorithm 8

Improved Initial Clustering Center Selection Method for k-me...

引用

8th International Conference on Instrumentation and Measurement, Computer, Communication and Control (IMCCC)

作者： Xie, Qingqing Jiang, He Han, Bing Wang, Dongyuan QiLu Univ Technol ShanDong Acad Sci Jinan Peoples R China

ISBN: (纸本)9781538682463

Aiming at the Randomness about selecting the initial center *** paper presents improvement scheme, in which one can select initial center point based on the Pearson correlation to avoid the randomness. After the experiment, the initial center point selected can effectively reduce the number of iterations of the clustering algorithm, and improve the efficiency of clustering algorithm. In the mean time, clustering results and the number of iterations has good stability.

关键词： clustering algorithm initial center point Pearson correlation Randomness

来源：评论

学校读者我要写书评

暂无评论

Prospects and obstacles analysis of applying blockchain technology to power trading using a deeply improved model based on the DEMATEL approach

引用

SUSTAINABLE CITIES AND SOCIETY 2021年 70卷

作者： Zhou, Jianli Wu, Yunna Liu, Fangtong Tao, Yao Gao, Jianwei North China Elect Power Univ Sch Econ & Management Beijing 102206 Peoples R China North China Elect Power Univ Beijing Key Lab New Energy & Low Carbon Dev Beijing 102206 Peoples R China

Blockchain technology is widely concerned, and its related applications can promote the process of smart cities and sustainable society. However, while mining the potential application scenarios in power trading, we must recognize the barriers, help it survive the hype stage, and promote its healthy development and technology landing. For the first time, hesitant fuzzy linguistic term set and K-mediods clustering algorithm are used to improve the decision-making trial and evaluation laboratory (DEMATEL) method, and the obstacle analysis model of the applied scene is constructed. Compared with the conventional DEMATEL method, the collection of evaluation information is more flexible and closer to reality. Besides, the classification of obstacle factors is more scientific and there can be more than two categories for effect degree. Firstly, thirteen barriers to its application in power trading are identified;at the same time, six specific application scenarios are summarized and analyzed. Then, a detailed discussion is conducted on each scenario: The quantification of the influence degree among obstacles, the classification and qualitative of the influence degree, and the causal mechanism analysis. The key obstacles identified can be used to guide practice. Finally, strategic solutions and policy recommendations are given to remove or alleviate these obstacles.

关键词： Power trading Sustainable consumption Obstacles analysis Blockchain technology DEMATEL method clustering algorithm

来源：评论

学校读者我要写书评

暂无评论

Research on the Application of Curriculum Knowledge Point Recommendation algorithm Based on Learning Diagnosis Model 5

Research on the Application of Curriculum Knowledge Point Re...

引用

5th International Conference on Electromechanical Control Technology and Transportation (ICECTT)

作者： Gan, Baiqiang Zhang, Chi Guangzhou Nanyang Polytech Guangzhou 510900 Peoples R China Sun Yat Sen Univ Nanfang Coll Guangzhou 510900 Peoples R China

ISBN: (数字)9781728199283

ISBN: (纸本)9781728199283

Because the degree of mastering knowledge points in courses in traditional cognitive diagnostic models cannot be probabilistic, there are only two situations: mastery and non-mastery. Therefore, for the current research, the recommendations of knowledge points recommended by learners' learning behavior attributes are not fully considered to be insufficient, this paper proposes a curriculum knowledge point recommendation algorithm model based on learning diagnosis, the model comprehensively considers the learner's learning emotions, learner problem test conditions and knowledge point characteristics, and the film and television synthesis in the Chaoxing online teaching service platform the course learning data is tested to verify the effectiveness of the recommendation algorithm. The experimental results show that the effectiveness and accuracy of the recommendation algorithm model proposed in this paper can meet the learning needs of learners.

关键词： learning diagnosis model course knowledge points recommendation algorithm clustering algorithm collaborative filtering algorithm

来源：评论

学校读者我要写书评

暂无评论

Optimization of University Campus Takeout Joint Distribution Route Based on clustering Tabu Search algorithm

Optimization of University Campus Takeout Joint Distribution...

引用

第三届教育、管理与社会科学国际学术论坛

作者： Shuaisha Sun Beijing jiaotong university

With the rapid development of the Internet, takeout in campus also conform to the general trend of the times. However, because of the low efficiency and not timely delivery, the campus takeout distribution is facing great challenges. In this paper, according to the features of campus takeout. The mathematical model of joint distribution system optimization is established in campus with the target of reducing the average delivery time. Taking Shanxi University takeout distribution as an example, clustering algorithm is used to partition., then a tabu search is used to plan the route for a single area. With the optimization of the distribution system, the whole logistics rate,customer satisfaction and business interests can be improved.

关键词： Campus takeout Joint distribution clustering algorithm Tabu search algorithm Route optimization

来源：评论

学校读者我要写书评

暂无评论

Design of Status Analysis System for Brick Machines Based on Industrial Internet of Things

Design of Status Analysis System for Brick Machines Based on...

引用

Chinese Automation Congress (CAC)

作者： Xu, Zhezhuang Liu, Xing Li, Xiaochang Gao, Xuchao Xie, Renxu Xia, Yuxiong Fuzhou Univ Coll Elect Engn & Automat Fuzhou Peoples R China Fujian Huatuo Automat Technol Co Fuzhou Peoples R China

ISBN: (纸本)9781728176871

Status analysis of machines is important for the factories to reduce the breakdown of machines and improve the quality of the products. Most existing solutions are limited to manual data collection and analysis, which has poor real-time performance and low data utilization. To solve this problem, this paper proposes a health status analysis for brick machines based on industrial internet of things. We firstly introduce the framework of industrial interne' of things to obtain the operation data of brick machines. Then the data are analyzed to derive the features that presents the status of the brick machine. The preprocessed data are further evaluated based on the clustering algorithm. Based on the clustering results, the status of brick machines can be classified as shutdown, standby, abnormal, voltage loss and normal. The experimental results are provided to prove the effectiveness of the proposed system.

关键词： status analysis brick machine clustering algorithm industrial internet of things

来源：评论

学校读者我要写书评

暂无评论

Filtering-Based Correlation Power Analysis (CPA) with Signal Envelopes Against Shuffling Methods 21st

Filtering-Based Correlation Power Analysis (CPA) with Signal...

引用

21st International World Conference on Information Security Applications (WISA)

作者： Jeon, Youngbae Yoon, Ji Won Korea Univ Sch Cybersecur Inst Cyber Secur & Privacy ICSP Seoul South Korea

ISBN: (纸本)9783030652999;9783030652982

The Correlation Power Analysis (CPA) is one of the powerful Side-Channel Analysis (SCA) methods to reveal the secret key using linear relationship between intermediate values and power consumption. To defense the analysis, many crypto-systems often embed the shuffling implementation which shuffles the order of operations to break the relationship between power consumption and processed information. Although the shuffling method increases the required number of power traces for deploying the CPA, it is still vulnerable if an attacker can classify or group the power traces by operations. In this work, we propose a new CPA technique by efficiently clustering the power traces using signal envelopes. We demonstrate theoretically reduced time complexity and tested our approach with the eight-shuffling AES implementations.

关键词： Side-Channel Analysis Correlation Power Analysis (CPA) Shuffling method Envelope clustering algorithm

来源：评论

学校读者我要写书评

暂无评论

An eco-friendly closed loop supply chain network with multi-facility allocated centralized depots for bidirectional flow in a battery manufacturing industry

引用

JOURNAL OF ADVANCES IN MANAGEMENT RESEARCH 2020年第1期17卷 131-159页

作者： Sherif, S. Umar Sasikumar, P. Asokan, P. Jerald, J. Natl Inst Technol Dept Prod Engn Tiruchirappalli Tamil Nadu India Higher Coll Technol Dept Ind Engn Technol Abu Dhabi Womens Campus Abu Dhabi U Arab Emirates

Purpose Due to the economic benefits and environmental awareness, most of the battery manufacturing industries in India are interested to redesign their existing supply chain network or to incorporate the effective closed loop supply chain network (CLSCN). The purpose of this paper is to develop CLSCN model with eco-friendly distribution network and also enhance recycling to utilize recycled lead for new battery production. The existing CLSCN model of a battery manufacturing industry considered for case study is customized for attaining economic benefit and environmental safety. Hence, single objective, multi-echelon, multi-period and multi-product CLSCN model with centralized depots (CD) is developed in this work to maximize the profit and reduce the emission of CO2 in transportation. Design/methodology/approach The proposed CD has the facility to store new batteries (NB), scrap batteries (SB) and lead ingot. The objective of the proposed research work is to identify potential location of CD using K-means clustering algorithm, to allocate facilities with CD using multi-facility allocation (MFA) algorithm and to minimize overall travel distance by allowing bidirectional flow of materials and products between facilities. The proposed eco-friendly CLSCN-CD model is solved using GAMS 23.5 for optimal solutions. Findings The performance of the proposed model is validated by comparing with existing model. The evaluation reveals that the proposed model is better than the existing model. The sensitivity analysis is demonstrated with different rate of return of SB, different proportion of recycled lead and different type of vehicles, which will help the management to take appropriate decision in the context of cost savings. Originality/value This research work has proposed single objective, multi echelon, multi period and multi product CLSCN-CD model in the battery manufacturing industry to maximize the profit and reduce the CO2 emission in transportation, by enhancing the

关键词： CO2 emission Battery industry Bidirectional flow Closed loop supply chain network clustering algorithm

来源：评论

学校读者我要写书评

暂无评论

Group decision making with hesitant fuzzy linguistic preference relations based on modified extent measurement

引用

EXPERT SYSTEMS WITH APPLICATIONS 2021年 171卷

作者： Ren, Peijia Xu, Zeshui Wang, Xinxin Zeng, Xiao-Jun South China Univ Technol Sch Business Adm Guangzhou 510640 Peoples R China Sichuan Univ Business Sch Chengdu 610064 Peoples R China Univ Manchester Sch Comp Sci Manchester M13 9PL Lancs England

The paper presents a consensus model for group decision making (GDM) with hesitant fuzzy linguistic preference relations (HFLPRs), which is composed of two parts: (1) clustering HFLPRs by mapping them into a higher dimension space based on a kernel function;(2) building a consensus model based on measuring the modified extents of decision makers? HFLPRs for reducing the biased judgements existing in their less-familiar ways. The paper further makes comprehensive analyses for the proposed model on: (1) the influence of decision makers? different sensitive attitudes towards the distances between the individual HFLPRs and the overall HFLPRs on decision-making results;(2) the differences and complexities of another model with a different consensus perspective and the proposed model. The experimental analyses provide the support for the maximum modified extent determination in different decision scenarios, and show that the proposed consensus model makes sense. Finally, the proposed model is illustrated by the application in choosing an optimal flood discharge technique for a hydropower station.

关键词： Group decision making Hesitant fuzzy linguistic preference relation clustering algorithm Consensus index Modified extent

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：