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.

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.

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.

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 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.

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.

一种基于树型结构的B/S系统权限控制方法

在应用RBAC技术的基础上研究了基于树型结构下的B/S系统中权限控制方法,通过系统资源树的生成,提出了用户权限数据报的概念及其设计思想,并在实践中加以应用。实现了系统全局资源的安全访问控制,增加了系统的灵活性。

基于B/S架构的多用户在线程序评判系统设计与实现

针对现有在线程序评判系统存在的判题效率和安全性问题,本文在分析多用户在线评判系统的功能需求基础上,提出了一种基于B/S架构采用Struts+Spring+Hibernate(SSH)组合框架的多用户在线程序评判系统,介绍了系统的程序评判原理及采用的安全机制。该系统不但可以用于ACM程序设计等比赛,而且可以为程序设计课程教学提供很好的辅助实验平台支持。

TD-SCDMA集群系统中优先级退避算法研究

针对TD-SCDMA集群通信系统随机接入优先级用户快速建立呼叫响应的要求,提出了基于优先级退避算法的随机接入技术。该算法通过为各优先级用户分配相应的上行同步码资源,以及对不同优先级用户采用优先级退避处理来实现对其快速等级接入。MATLAB仿真结果表明,与优先级BEB退避算法相比,采用改进优先级指数退避算法的随机接入过程,在能保证高优先级用户成功接入的同时,还能明显提高中、低优先级用户的接入成功率,并且当用户接入压力较大时,该算法能有效地降低各优先级用户的平均接入时延。

B/S模式的电厂耗差分析系统权限管理的实现

采用ASP.NET技术,应用用户/岗位角色/权限的模型,实现了B/S模式的电厂耗差分析系统权限管理。阐述了权限管理的设计原则和设计方法、权限管理的数据库设计、用户授权的实现和用户权限控制的实现。在开发过程中,使用C#语言,开发了权限管理组件,提高了开发效率,简化了权限管理,用户使用灵活方便。

基于技术扩散S曲线的3G技术市场推广策略研究

3G技术市场快速推广是电信运营商目前需着力解决的现实问题.从技术扩散S曲线出发,通过问卷调查结果,分析论证我国3G技术扩散还处在初期阶段,需要精确定位初期阶段的目标用户并按照其特征来制定推广策略,指出运营商的现有推广策略针对性不强,并在此基础上对这些方案提出改进建议,为3G技术市场的发展提供参考借鉴.

3G UMTS网络中Qos策略分析研究

本文通过分析3GUMTS系统的Qos结构及管理功能,结合因特网的两种Qos策略,重点基于区分服务(DiffServ)模型得出了一种UMTS系统的Qos解决策略,并结合无线信道的特殊性及用户的优先级区别提出了改进方法。

基于层次近邻传播聚类的用户低电压越限模式挖掘方法

开展用户低电压越限模式挖掘工作可以为用户低电压问题的治理提供指导。针对目前台区低电压用户电压复杂多变、低电压越限模式未知的问题,文中提出基于层次近邻传播(hierarchical affinity propagation, HAP)聚类的用户低电压越限模式挖掘方法。首先,通过HAP聚类算法对大规模低电压用户电压数据集进行聚类分析,获得若干聚类簇。然后,将不同的聚类簇视作不同的低电压越限模式,并从越限时长和越限电压幅值两方面定义低电压越限模式的4项基本特征指标,通过计算各聚类簇的基本特征指标,反映其所对应低电压越限模式的特征。最后,将该方法运用到某地区低电压用户的电压数据集中,有效挖掘出该地区低电压用户的4种低电压越限模式,从而根据不同低电压越限模式的特征,有针对性地开展低电压用户的监管、分析工作,并制定用户低电压问题治理的优先级。