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user preference Survey on Staircase Rotation

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Journal of Civil Engineering and Architecture 2015年第7期9卷 836-844页

作者： Ping An Biao Wang College of Architecture and Art North China University of Technology Beo'ing 100144 China Department of Civil Engineering National Institute for Applied Sciences Toulouse 31077 France

Staircase is an important means of vertical transportation. Staircase design exerts a great influence on the aesthetics, transportation efficiency, user comfort and experience level. In this paper, a survey on the staircase rotation preference was conducted, based on the environment behavior studies. Different user frequencies of a pair of scissors stairs in the 2nd teaching building of North China University of Technology were analyzed. The psychological effect was evaluated and quantified, and the user preference on the two staircase rotations was then withdrawn. The survey found that the type of staircase with clockwise upstairs was much more preferred （78%） than the other staircase rotation anti-clock upstairs. Considering different genders, the female shows a 66% higher preference inclination of this type of staircase rotation than the male. To improve the transportation efficiency of the staircase in case of fire, the result of this paper can be very constructive for the evacuation staircase rotation choice for the high-rise buildings.

关键词： Evacuation stairs staircase rotation user preference environmental behavior.

Voltage-Sensitive Load Control Strategy Considering user preference for Voltage Regulation in Distribution Systems

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Voltage-Sensitive Load Control Strategy Considering User Pre...

作者： HASAN GHALEB ALI AL-YAZIDI（哈山）东南大学

学位级别：硕士

Power system is exposed to quite a diverse mixture of disturbances such as,small as well as large *** load changes that occur continually leads to small disturbance in the *** during a large disturbances,the system must also be able to survive large ***,the system should have the capability to work satisfactorily by controlling the *** thesis has introduced advanced methods using sensitivity analysis to preserve the voltage within the secure limits when power system faces *** influence of distributed generation（DG）and its control method on sensitivity has also been taken into ***,load shedding considering user’s priority is implemented based on sensitivity and priority to ensure consumers’ comfort to alleviate the *** objectives are elaborated below in more *** first objective is to compute firstly the static sensitivity index during small disturbance,without considering the difference between static and dynamic load ***,obtain the dynamic sensitivity index when a large disturbance occurred in the system and finally describe the difference between static and dynamic load shedding during large disturbance and its impact on voltage recovery during transient ***,DG was introduced to the network by placing it on various location in the network in order to illustrate the effect of it in both static and dynamic *** control and V/F control methods were implemented to show the difference of those two control manners in the system and their impact in sensitivity and voltage ***,in order to decide which device to switch on or off when voltage goes below its standard value,it particularly depends on the users’ priorities and load *** users do not want their loads to be cut during under voltage ***,load shedding scheme based on priority and sensitivity are designed to satisfy the users’ preference and a

关键词： Staticand dynamic load Sensitivity index Load shedding user preference

Effects of smartphone icon background shapes and figure/background area ratios on visual search performance and user preferences

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Frontiers of Computer Science 2015年第5期9卷 751-764页

作者： Shijian LUO Yuxiao ZHOU College of Computer Science and Technology Zhejiang University Hangzhou 310027 China

Smartphones are becoming increasingly popular, users are provided with various interface styles with different designed icons. Icon, as an important competent of user interface, is regarded to be more efficient and pleasurable. However, compared with desktop computers, fewer design principles on smartphone icon were proposed. This paper investigated the effects of icon background shape and the figure/background area ratio on visual search performance and user preference. Icon figures combined with six different geometric background shapes and five different figure/ background area ratios were studied on three different screens in experiments with 40 subjects. The results of an analysis of variance （ANOVA） showed that these two inde- pendent variables （background shape and figure/background area ratio） significantly affected the visual search performance and user preference. On 3.5-in （1 in=0.025 4 m） and 4.0-in displays, unified backgroundwould be optimal, shapes such as square, circle and transitions between them （e.g., rounded square, squircle, etc.） are recommended because backgrounds in these shapes yield a better search time performance and subjective satisfaction for ease of use, search and visual preference. A 60% figure/background area ratio is the most appropriate for smartphone icon design on the 3.5-in screen, while a 50% area ratio could be a suggestion for both relatively optimized search performance and user preference on 4.0-in. In terms of the 4.7-in, icon figure is used di- rectly for its better performance and preference compared with icons with background.

关键词： icon design background shape figure/background area ratio visual search performance user preference

A strategy-proof auction mechanism for service composition based on user preferences

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Frontiers of Information Technology & Electronic Engineering 2021年第2期22卷 185-201页

作者： Yao XIA Zhiqiu HUANG College of Computer Science and Technology Nanjing University of Aeronautics and AstronauticsNanjing 210016China

Service composition is an effective method of combining existing atomic services into a value-added service based on cost and quality of service(QoS).To meet the diverse needs of users and to offer pricing services based on QoS,we propose a service composition auction mechanism based on user preferences,which is strategy-proof and can be beneficial in selecting services based on user preferences and dynamically determining the price of *** have proven that the proposed auction mechanism achieves desirable properties including truthfulness and individual ***,we propose an auction algorithm to implement the auction mechanism,and carry out extensive experiments based on real *** results verify that the proposed auction mechanism not only achieves desirable properties,but also helps users find a satisfactory service composition scheme.

关键词： Combinatorial reverse auction Service composition user preference Strategy-proof Dynamic pricing

Personalized web pages ranking algorithm based on user preferences

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Journal of Southeast University(English Edition) 2008年第3期24卷 351-353页

作者：朱容波中南民族大学计算机科学学院武汉430074

In order to rank searching results according to the user preferences,a new personalized web pages ranking algorithm called PWPR（personalized web page ranking）with the idea of adjusting the ranking scores of web pages in accordance with user preferences is *** assigns the initial weights based on user interests and creates the virtual links and hubs according to user *** measuring user click streams,PWPR incrementally reflects users’ favors for the personalized *** improve the accuracy of ranking, PWPR also takes collaborative filtering into consideration when the query with similar is submitted by users who have similar user interests. Detailed simulation results and comparison with other algorithms prove that the proposed PWPR can adaptively provide personalized ranking and truly relevant information to user preferences.

关键词： web page user preference ranking algorithm personalization

Exploring the Interactions of Storylines from Informative News Events

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Journal of Computer Science & Technology 2014年第3期29卷 502-518页

作者：胡珀黄民烈朱小燕 State Key Laboratory of Intelligent Technology and Systems Department of Computer Science and Technology Tsinghua University

Today＇s news readers can be easily overwhelmed by the numerous news articles online. To cope with information overload, online news media publishes timelines for continuously developing news topics. However, the timeline summary does not show the relationship of storylines, and is not intuitive for readers to comprehend the development of a complex news topic. In this paper, we study a novel problem of exploring the interactions of storylines in a news topic. An interaction of two storylines is signified by informative news events that play a key role in both storylines. Storyline interactions can indicate key phases of a news topic, and reveal the latent connections among various aspects of the story. We address the coherence between news articles which is not considered in traditional similarity-based methods, and discover salient storyline interactions to form a clear, global picture of the news topic. user preference can be naturally integrated into our method to generate query-specific results. Comprehensive experiments on ten news topics show the effectiveness of our method over alternative approaches.

关键词： text mining storyline interaction informative event coherence user preference

Personalized Recommendation Algorithm Based on preference Features

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Tsinghua Science and Technology 2014年第3期19卷 293-299页

作者： Liang Hu Guohang Song Zhenzhen Xie Kuo Zhao the School of Computer Science and Technology Jilin University

A hybrid collaborative filtering algorithm based on the user preferences and item features is proposed.A thorough investigation of Collaborative Filtering （CF） techniques preceded the development of this *** proposed algorithm improved the user-item similarity approach by extracting the item feature and applying various item features＇ weight to the item to confirm different item *** preferences for different item features were obtained by employing user evaluations of the *** is expected that providing better recommendations according to preferences and features would improve the accuracy and efficiency of recommendations and also make it easier to deal with the data *** addition,it is expected that the potential semantics of the user evaluation model would be *** would explain the recommendation results and increase accuracy.A portion of the MovieLens database was used to conduct a comparative experiment among the proposed algorithms,i.e.,the collaborative filtering algorithm based on the item and the collaborative filtering algorithm based on the item *** Mean Absolute Error （MAE） was utilized to conduct performance *** experimental results show that employing the proposed personalized recommendation algorithm based on the preference-feature would significantly improve the accuracy of evaluation predictions compared to two previous approaches.

关键词： recommendation system collaborative filtering user preference

QoS Evaluation for Web Service Recommendation

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China Communications 2015年第4期12卷 151-160页

作者： MA You XIN Xin WANG Shangguang LI Jinglin SUN Qibo YANG Fangchun State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications School of Computer Science Beijing Institute of Technology

Web service recommendation is one of the most important fi elds of research in the area of service computing. The two core problems of Web service recommendation are the prediction of unknown Qo S property values and the evaluation of overall Qo S according to user preferences. Aiming to address these two problems and their current challenges, we propose two efficient approaches to solve these problems. First, unknown Qo S property values were predicted by modeling the high-dimensional Qo S data as tensors, by utilizing an important tensor operation, i.e., tensor composition, to predict these Qo S values. Our method, which considers all Qo S dimensions integrally and uniformly, allows us to predict multi-dimensional Qo S values accurately and easily. Second, the overall Qo S was evaluated by proposing an efficient user preference learning method, which learns user preferences based on users' ratings history data, allowing us to obtain user preferences quantifiably and accurately. By solving these two core problems, it became possible to compute a realistic value for the overall Qo S. The experimental results showed our proposed methods to be more efficient than existing methods.

关键词： Web service recommendation QoS prediction user preference overall QoSevaluation

Estimation of charging demand for electric vehicles by discrete choice models and numerical simulations: Application to a case study in Turin

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Green Energy and Intelligent Transportation 2023年第2期2卷 94-104页

作者： Lorenzo Sica Francesco Deflorio Politecnico di Torino-DIATI Corso Duca degli Abruzzi2410129TorinoItaly

The electrification of vehicles is considered one of the most important strategies for addressing the issues related to energy dependence and climate *** meet user needs,electric vehicle(EV)management for charging operations is *** study uses modelling and simulation of EV user behaviour to forecast possible scenarios for electric charging in cities and to identify potential management problems and opportunities for improvement of EVs and EV charging *** conurbation of Turin was selected as a case study to reproduce realistic scenarios by applying discrete choice modelling based on socio-economic and transport system *** of objectives of the study was to describe user charging behaviour from a geographic perspective to model where users prefer to charge in the area studied according to the variables that may affect *** objective was to estimate the number of electric vehicles in Turin and the characteristics of their users,both of which are helpful in understanding electric mobility within a *** these behavioural issues in a modelling framework can provide a set of tools to compare and evaluate a variety of possible modifications,indicating an adequate network of charging infrastructure to facilitate the diffusion of electric vehicles.

关键词： Electric vehicles Charging demand Charging stations Discrete choice models user preference