基于APEC-SEM的在线学习平台用户体验设计研究

目的为改善学生用户对在线学习平台的体验满意度,使设计师精准把握设计重点与优先级,以有效提升平台用户体验、促进平台的可持续发展。方法在APEC用户体验模型的基础上引入结构方程,提出一种在线学习平台用户体验设计框架。通过理论模型结合深度访谈,提取影响在线学习体验的设计要素,并通过问卷分析建立在线学习平台用户体验满意度的结构方程模型,计算各设计要素影响权重,得出设计优先级与设计策略。结论构建了基于APEC模型与结构方程模型的用户体验设计框架,并将其应用于大学生在线学习平台设计中,提升平台的用户体验水平,为相关用户体验设计研究提供一定理论参考。

A Sightseeing Spot Recommendation System for Urban Smart Tourism Based on Users’ Priority Conditions

The present study aimed to design,develop,operate and evaluate a sightseeing spot recommendation system as a smart tourism tool that gathers and accumulates sightseeing spot information and considers personal preferences as well as priority conditions to support tourism activities,especially in urban tourist areas.The system was developed by integrating web-geographic information systems(Web-GIS),the recommendation system and the evaluation system.Additionally,the system was operated for 4 weeks in the central part of Yokohama City in Kanagawa Prefecture,Japan,and the total number of users was 62.Based on the results of the web questionnaire survey,the system was highly useful for sightseeing activities,and further utilization of each function can be expected by continuing the operation.From the results of access analysis of users’log data,it is evident that the system has been used by different types of information terminals just as it was designed for,and that the system has been used according to the purpose of the present study,which is to support the sightseeing activities of users.However,the number of visits to pages related to the evaluation function of sightseeing spots and submitting function of new sightseeing spot information was low.This may improve if the system operation is conducted on a long-term basis.

基于S-O-R理论的新型公共阅读空间用户流失行为分析——来自大众点评网用户评论

文章以大众点评网站中新型公共阅读空间的评论数据为对象,以S-O-R模型为理论基础,利用Python爬取其“中评”与“差评”的评论数据,运用内容分析法归纳得出新型公共阅读空间用户流失行为的主要因素,并构建新型公共阅读空间用户流失行为模型。在此基础上,提出提高新型公共阅读空间服务效能的相关建议,为提高新型阅读空间的服务质量,降低用户流失率提供参考。

Dynamic channel reservation scheme based on priorities in LEO satellite systems

According to low earth orbit（LEO） satellite systems with users of different levels, a dynamic channel reservation scheme based on priorities is proposed. Dynamic calculation of the thresholds for reserved channels is the key of this strategy. In order to obtain the optimal thresholds, the traffic is predicted based on the high-speed deterministic movement property of LEO satellites firstly. Then, a channel allocation model based on Markov is established. Finally, the solution of the model is obtained based on the genetic algorithm. Without user location, this strategy effectively reduces handover failures and improves channel utilization by adjusting dynamically the thresholds according to traffic conditions. The simulation results show that the system＇s overall quality of service can be improved by this strategy.

Prioritizing sustainable development goals and linking them to ecosystem services:A global expert’s knowledge evaluation

The implementation of strategies to achieve the Sustainable Development Goals(SDGs)is frequently hindered by potential trade-offs between priorities for either environmental protection or human well-being.However,ecosystem services(ES)-based solutions can offer possible co-benefits for SDGs implementation that are often overlooked or underexploited.In this study,we cover this gap and investigate how experts from different countries value the SDGs and relate them with ES.A total of 66 countries participated to the survey,and answers were grouped into three macro-regions:Asia;Europe,North America,and Oceania(ENO);Latin America,Caribbean and Africa(LA).Results show that the most prioritized SDGs in the three macro-regions are usually those related to essential material needs and environmental conditions,such as SDG2(Zero Hunger),SDG1(No Poverty),and SDG6(Clean Water).At a global scale,the number of prioritized synergies between SDGs and ES largely exceeded trade-offs.The highest amount of synergies was observed for SDG1(No Poverty),mainly with SDG2,SDG3(Good Health),SDG5(Gender Equality),and SDG8(Economic Growth).Other major synergies among SDGs include SDG14-15(Life below water-Life on land),SDG5-10(Gender Equity-Reduced Inequality),and SDG1-2(No poverty-Zero Hunger).At a global scale,SDG15,SDG13,SDG14,and SDG6 were closely related to ES like climate regulation,freshwater,food,water purification,biodiversity,and education.SDG11(Sustainable Cities)and SDG3 were also relevant in Asia and in LA,respectively.Overall,this study shows the potential to couple future policies that can implement SDGs’strategies while adopting ES-based solutions in different regions of the world.

Customization Product Design Based on User's Emotion and Needs

The paper presents a design method that ensures the ingenuity of the product form as well as the whole and exact expression of user’s needs. The key idea is to establish an automatic design system which can transform the user’s language needs into the product features in real-time. A rifle was taken as a research instance and soldiers were chosen as evaluation customers. The theory of fuzzy set and semantic difference are adopted to evaluate the relationship between user’s needs and product features as well as their alternatives. FAHP (fuzzy analytic hierarchy process) is utilized to judge the user’s satisfactory forms. This method can also be applied to other product form designs.

Use of methotrexate in inflammatory bowel disease in 2014: A User's Guide

Methotrexate has been used an immunomodulator in many autoimmune diseases,including inflammatory bowel disease. However,many physicians are unfamiliar or uncomfortable with its use in the management of inflammatory bowel disease. We summarize the data for use of methotrexate in common clinical scenarios:(1) steroid dependant Crohn's disease(CD);(2) maintenance of remission in steroid free CD;(3) azathioprine failures in CD;(4) in combination therapy with Anti-TNF agents in CD;(5) decreasing antibody formation to Anti-TNF therapy in CD;(6) management of fistulizing disease in CD; and(7) as well as induction and maintenance of remission in ulcerative colitis. An easy to use algorithm is provided for the busy clinician to access and safely prescribe methotrexate for their inflammatory bowel disease patients.

基于整合模糊KANO-IPA分析的SOHO办公桌设计

为解决传统办公产品无法适应新时代SOHO用户个性化需求的问题,本文基于模糊KANO-IPA分析法对用户需求优先级研究。通过文献查阅、问卷调查和用户访谈方法收集SOHO用户的需求,并对SOHO办公桌使用现状进行整理。根据收集的需求点进行模糊KANO问卷调研,对SOHO办公桌的功能偏好进行筛选。结合IPA分析法对功能需求偏好进行优先级排序,得到符合用户需求的SOHO办公桌设计要素,并指导设计实践。以SOHO多功能办公桌为例,验证了该模型的有效性。结果表明:整合模糊KANO-IPA分析模型可精准提炼用户需求,便于设计师理解和确定设计重点,为相关设计提供参考。

Frequent Itemset Mining of User’s Multi-Attribute under Local Differential Privacy

Frequent itemset mining is an essential problem in data mining and plays a key role in many data mining applications.However,users’personal privacy will be leaked in the mining process.In recent years,application of local differential privacy protection models to mine frequent itemsets is a relatively reliable and secure protection method.Local differential privacy means that users first perturb the original data and then send these data to the aggregator,preventing the aggregator from revealing the user’s private information.We propose a novel framework that implements frequent itemset mining under local differential privacy and is applicable to user’s multi-attribute.The main technique has bitmap encoding for converting the user’s original data into a binary string.It also includes how to choose the best perturbation algorithm for varying user attributes,and uses the frequent pattern tree(FP-tree)algorithm to mine frequent itemsets.Finally,we incorporate the threshold random response(TRR)algorithm in the framework and compare it with the existing algorithms,and demonstrate that the TRR algorithm has higher accuracy for mining frequent itemsets.

User’s Relevance of PIR System Based on Cloud Models

A new method to evaluate fuzzily user＇s relevance on the basis of cloud models has been proposed. All factors of personalized information retrieval system are taken into account in this method. So using this method for personalized information retrieval （PIR） system can efficiently judge multi-value relevance, such as quite relevant, comparatively relevant, commonly relevant, basically relevant and completely non-relevant, and realize a kind of transform of qualitative concepts and quantity and improve accuracy of relevance judgements in PIR system. Experimental data showed that the method is practical and valid. Evaluation results are more accurate and approach to the fact better.

Adaptive resource allocation for multi-user multi-server power-line communication OFDM systems

The bits and power allocation model of adaptive power-rate mixture for multi-user multi-server power-line communication systems was analyzed with the restrictions of maximal total power,fixed rate for each real time (RT) user,minimal rate for each non-real time (NRT) user,maximal bits and power for each subcarrier in each orthogonal frequency division multiplexing (OFDM) symbol. An algorithm of resource dynamic allocation in the first OFDM symbol of each frame and resource optimal adjustment in the latter OFDM symbol of each frame was proposed. In the first OFDM symbol of every frame,resource is firstly assigned for RT users so as to minimize their total used power until satisfying their fixed rates; secondly the remainder resource of power and subcarriers are assigned for NRT users so as to minimize their total used power until satisfying their minimal rates also; lastly the remainder resource is again assigned for NRT users according to the proportional fairness strategy so as to maximize their total assigning rate. In the latter OFDM symbol of each frame,bits are swapped and power is adjusted for every user based on the resource allocation results of anterior OFDM symbol. The algorithm is tested in the typical power-line channel scenarios and the simulation results indicate that the proposed algorithm has better performances than the classical multi-user resource allocation algorithms and it realizes the multiple aims of multi-user multi-server resource allocation for power-line communication systems.

A Dynamic Bandwidth Allocation Solution Based on User Behavior and Software Defined EPS

For telecommunication operators, how to improve the utilization of bandwidth resources is always a problem which worthy of study, nowadays, this issue has become more and more important, since the traffic load bursting in the mobile Internet. So the key to solving this problem is that we need to find a kind of traffic model to predict the traffic load that users need. According to the predicted traffic load to allocate bandwidth to each base station dynamically.But the traffic consumption behavior of a single base station is random, it is difficult to predict[ 1 ]. For this reason, we based on reality that, when the user moves, it may get traffic load from different base stations, therefore, there will have some kind of relationship between those base stations.We use this relationship to establish a kind of Spatial Collaborative Network.consequently, we make use of stability algorithm to divided those base station cluster into different communities, According to the traffic load usage rules which these communities indicated to us, we get a traffic model.At the same time, we studied bow to use this traffic model in the future networks to dynamically allocate bandwidth resources, then we propose a new kind of EPS architecture based on SDN, on this platform, we can deploy our strategy through it＇s programmable interface.Finally, we designed an experiment to test the performance of our dynamic strategy, and the result shows that our method enables bandwidth utilization has been greatly improved.

Method of Consistency Judgment for App Software’s User Comments

With the popularity of mobile intelligent terminal, user comments of App software is viewed as one of the research interests of social computing. Faced with the massive App software, most users usually view the other users’ comments and marks to selecting the desired App software. Due to the freedom and randomness of the network comments, the inconsistence between the user’s comment and mark makes it difficult to choose App software. This paper presents a method by analyzing the relationships among user’s comment information, the user’s mark and App software information. Firstly, the consistency between user’s comment information and App software information is judged. Then, through analyzing the grammar relationships among the feature-words, adverbs and the feature-sentiment-words in App software’s feature-sentimentword- pairs, the user’s emotional tendency about App software is quantified quantified combining with the dictionary and the network sentiment words. After calculating the user’s comprehensive score of App software, the consistency of App software’s user comment is judged by comparing this score and the user’s mark. Finally, the experimental results show that the method is effective.

基于改进DFS算法的关键用户态势感知技术研究

配网调度重点保障重要、关注、敏感、保供电用户等关键用户,大面积停电时,关键用户失压或无法及时复电,将严重影响电网稳定运行和社会影响。目前,态势感知技术已成为发展趋势,但受制于主配图模拼接、配网数据动态变化等原因,涉及大面积停电场景的关键用户态势感知技术研究较少,实现关键用户精准复电的功能实用化存在一定难度。从实用化方向提出改进配网OCS深度优先搜索算法,快速获取主配网数据特征,并建立一套算法,实现配网关键用户态势感知技术,支持快速复电决策,保障电网安全运行和关键用户供电可靠性。

基于B/S架构的用户用能信息采集系统研究

为了提高用户用能信息采集能力,提出基于B/S架构的用户用能信息采集系统设计方法。通过物联网和RFID标签识别技术,构建用户用能信息采集系统的射频标签信息采集模块,采用B/S架构和总线传输协议实现用户用能信息采集的信息化传输和调度,实现用户用能信息采集。测试结果表明方法进行用户用能信息采集的智能性和准确性较好。

知识分享社区中的社交互动对用户隐私信息披露的影响

研究围绕用户隐私披露意愿和披露水平,探索了知识分享社区中的社交互动行为对用户隐私信息披露的影响机制。基于刺激-有机体-反应(Stimulus-Organism-Response,S-O-R)理论研究用户社交互动中的外界刺激如何影响隐私信息披露者的内在状态,进而影响其隐私信息披露意愿。采用问卷调查收集数据,验证提出模型及假设,并借助知识分享社区中的用户行为数据探究用户间的社交互动对其信息披露水平的影响。结果表明,社交互动对用户的自我效能、用户间信任和社会认同均产生显著促进作用,进而影响用户的隐私信息披露意愿。社交互动在一定程度上影响用户的信息披露水平,且账户信息认证起到一定的正向调节作用。研究结论能够为促进知识分享社区中用户信息的合理披露行为提供建议。

拟人化线索和直播氛围双视角下数字人直播用户参与行为影响机制研究

数字人技术可为直播行业注入新活力,如何提升数字人直播质量,增强用户参与度是亟待解决的管理问题。本研究基于S-O-R理论构建数字人直播用户参与行为影响机制模型,通过结构方程模型(SEM)和模糊集定性比较分析(fsQCA)识别用户参与行为关键影响因素及组态路径。研究发现:(1)交互型线索和解说氛围正向影响信任;印象型线索、移情性线索、娱乐氛围和解说氛围正向影响社会临场感;社会临场感正向影响信任,信任和社会临场感正向影响用户参与行为;所有影响因素均不能构成用户参与行为的必要条件,需多种因素协同发挥作用。(2)高娱乐氛围、高信任和高社会临场感均存在于围观式、表达式及购买式参与行为的所有组态中,对用户参与行为具有促进作用。在此基础上,围观式参与行为产生路径为情感内容驱动路径及形象内容驱动路径;表达式参与行为产生路径为情感驱动路径;购买式参与行为产生路径为情感形象驱动路径和情感社交驱动路径。

B/S模式下OA系统的权限控制设计与实现

通过分析现有权限控制模型,结合B/S模式的特征,论文提出了改进的权限控制模型,与在OA系统中的具体实现方法。

一种改进的CSGC频谱分配算法

基于图论着色的频谱分配算法未充分考虑用户实际带宽需求,针对这一问题,本文在原算法基础上提出了一种改进的CSGC频谱分配算法.该算法引入了空闲频谱和用户请求两个时间因子,通过设置用户优先级函数,在进行二次频谱分配时最大限度地满足用户需求.仿真结果表明,该算法不仅保留了原CSGC算法的性能,而且大幅度提高了频谱利用率.