Mobile edge computing based QoS optimization in medical healthcare applications

Emerging trends in mobile edge computing for developing the efficient healthcare application such as, remote monitoring of the patients with central electronics clouds (e-Clouds) and their increasing voluminous multimedia have caught the attention of everyone in industry and academia. So, clear visualization, big sensing level, and better quality of service (QoS) is the foremost priority. This paper proposes the window-based Rate Control Algorithm (w-RCA) to optimize the medical quality of service (m-QoS) in the mobile edge computing based healthcare by considering the network parameters for instance, peak-to-mean ratio (PMR), standard deviation (Std.dev), delay and jitter during 8 min medical video stream named “Navigation to the Uterine Horn, transection of the horn and re-anastomosis’ transmission over 5 G networks. The performance of the proposed w-RCA is evaluated and compared with the conventional battery smoothing algorithm (BSA) and Baseline by using MPEG-4 encoder for optimizing m-QoS at the source or the server side. The experimental results demonstrate that the w-RCA outperforms the BSA and Baseline by optimizing QoS in remote healthcare application i.e., Tele-surgery. Besides, it is observed and analyzed that w-RCA produces better and effective results at small buffer and window sizes unlike BSA and Baseline by adopting large buffer size during QoS optimization.     

XML data exchange with target constraints

Data exchange is the problem of taking data structured under a source schema and creating an instance of a target schema, by following a mapping between the two schemas. There is a rich literature on problems related to data exchange, e.g., the design of a schema mapping language, the consistency of schema mappings, operations on mappings, and query answering over mappings. Data exchange is extensively studied on relational model, and is also recently discussed for XML data. This article investigates the construction of target instance for XML data exchange, which has received far less attention. We first present a rich language for the definition of schema mappings, which allow one to use various forms of document navigation and specify conditions on data values. Given a schema mapping, we then provide an algorithm to construct a canonical target instance. The schema mapping alone is not adequate for expressing target semantics, and hence, the canonical instance is in general not optimal. We recognize that target constraints play a crucial role in the generation of good solutions. In light of this, we employ a general XML constraint model to define target constraints. Structural constraints and keys are used to identify a certain entity, as rules for data merging. Moreover, we develop techniques to enforce non-key constraints on the canonical target instance, by providing a chase method to reason about data. Experimental results show that our algorithms scale well, and are effective in producing target instances of good quality.     

基于企业用户需求的科技服务资源综合推荐算法研究

[研究目的]现有科技服务平台中科技服务资源数量指数级增长、服务质量多样化,以及企业用户需求难以量化。为解决科技服务平台企业用户与服务资源间的精准匹配问题,提出一种基于企业用户需求的科技服务资源综合推荐算法(EURSTS)。[研究方法]综合考虑科技服务特殊属性和企业背景信息,采用模糊模型量化信息和综合相似度求解,对企业用户和科技服务资源进行匹配推荐。[研究结论]通过与CB算法、基于服务QoS算法的对比说明EURSTS算法能显著的改善推荐效果,其准确率平均提升了30.1%~37.1%,召回率平均提升了0.1%~7.9%,验证了该算法的有效性。     

基于遗传算法的QoS路由优化算法

由于一些像远程视频会议之类的新服务要求更好的服务质量,多媒体通信路由算法需要使用多个QoS的参数。然而解决QoS路由问题、搜索两个无关参数的可行路径是一个NP完全问题。提出了一种基于遗传算法的QoS路由算法。仿真实验结果表明,该算法具有很好的性能并且为多约束QoS路由问题的求解提供了一种有效的途径。     

Understanding the role of consistency during web–mobile service transition: Dimensions and boundary conditions

With the advancement of mobile technologies, numerous web service providers have begun to extend their web services to the mobile context. To understand users’ mobile service adoption behaviour in the context of the web–mobile service transition, this study investigates the role of consistency between web and mobile services by proposing a typology of consistency and examining the extent to which and the boundary conditions under which consistency works. Specifically, consistency is classified into behavioural consistency (e.g., operational consistency) and object-based consistency, which includes consistency in information, system and service in terms of the information systems success model. We also contend the mediating effect of operational consistency and the interaction effect of trust in web services and operational consistency. A field survey with 235 mobile service users confirms our mediating and moderating hypotheses. The implications for theory and practice are also discussed.     

基于Android OS的校园位置信息应用设计与实践

Android是当今主流的手机操作系统,随着智能手机爆发式地增长,用户对手机应用的需求也日益增多。通过分析学生群体的特殊需求,有针对性地设计并实现了一个基于Android Google Map的具有当前位置经纬度、位置信息、地点查询、路线规划等功能的校园位置信息应用。与其他地图应用不同的是突出了校园的主体,实现了个性化的LBS服务。     

A multi-dimensional transfer function approach to photo-acoustic signal analysis

Photo-acoustic signal generation has shown potential for medical tomography. This paper aims to present a consistent and unified approach to the mathematical modelling of the photo-acoustic problem, using a transfer function approach. A generalized version of the Fourier slice theorem is presented and proved. Reconstruction algorithms can be developed based on specific cases of this general theorem. Closed-form solutions to special cases are given in Cartesian, cylindrical and spherical polar coordinates. These can be used to simulate the forward problem and as test cases for any reconstruction algorithms.     

New query suggestion framework and algorithms: A case study for an educational search engine

Query suggestion is generally an integrated part of web search engines. In this study, we first redefine and reduce the query suggestion problem as “comparison of queries”. We then propose a general modular framework for query suggestion algorithm development. We also develop new query suggestion algorithms which are used in our proposed framework, exploiting query, session and user features. As a case study, we use query logs of a real educational search engine that targets K-12 students in Turkey. We also exploit educational features (course, grade) in our query suggestion algorithms. We test our framework and algorithms over a set of queries by an experiment and demonstrate a 66–90% statistically significant increase in relevance of query suggestions compared to a baseline method.     

Hybrid collaborative filtering model for consumer dynamic service recommendation based on mobile cloud information system

The rapid development of the web has led to a considerable increase in information dissemination. Recently, personalized web service recommendation has become a popular research area in service computing. Research on web service recommendation systems mainly addresses two problems: prediction and completion of sparse QoS data, and the user's personalized recommendation. To address the issue of high data sparsity and low recommendation accuracy in the traditional service recommendation models under mobile cloud, this study presents a hybrid collaborative filtering model for consumer service recommendation based on mobile cloud by introducing user preferences. The example verified that the service recommendation based on the model can effectively reduce the data sparsity and increase the accuracy of the prediction.     

Evaluation of a mobile information system in context

The motivation for this work has been to provide relevant information to the right situation for mobile phone users. We have iteratively developed applications for travellers and tourists to provide a general travel guide with local tourist information. This used a combination of wireless tag technology and information from content service providers. The paper presents our evaluation methodology and how we used it to develop the applications.     

基于数字鸿沟视角的短信网址技术应用探析

短信网址技术是手机用户、IP网络短信用户通过短消息方式、使用容易理解记忆的自然语言,方便、直接、有效地获取信息和服务的一项技术.文章基于数字鸿沟的视角,以短信网址技术应用为引导,提出短信网址技术将成为缩小数字鸿沟的又一新技术,并探讨了短信网址技术在提升公众信息服务、消弭数字鸿沟方面的应用.     

数字图书馆服务质量评价模型的构建——基于第三方服务提供商视角

数字图书馆服务质量的评价是测评其服务提供行为、提高服务效果的重要手段。目前,国内外专家、学者已提出一些数字图书馆服务质量评价模型与框架,但都基于用户感知视角。基于第三方服务提供商视角构建新的数字图书馆服务质量评价模型,得出数字图书馆第三方服务提供商对数字图书馆终端用户的感知与满意度有着直接影响的结论。     

基于用户行为感知的移动社交网络信息服务持续使用意愿研究

[目的/意义]本文以用户行为感知视角，研究影响移动社交网络主导型用户与浏览型用户持续使用的因素，为移动社交网络信息服务提供理论基础，并为移动社交网络提供商提出参考与应用借鉴。[方法/过程]分析移动社交网络主导型用户与浏览型用户持续使用意愿影响因素，引入相关变量，构建了基于用户行为感知的移动社交网络信息服务持续使用意愿模型并提出假设，最后通过结构方程模型进行实证分析。[结果/结论]感知有用性、感知易用性、感知娱乐、感知质量等因素均显著影响主导型及浏览型两类用户；服务质量、感知风险、知识获取、个人创新、社会认可、感知信任、感知转换成本等因素对两类用户有不同程度的影响。     

基于计划行为理论的高校图书馆移动信息服务质量评价

为研究移动信息服务质量这一图书馆以及用户共同关注的焦点问题,文章基于计划行为理论,构建移动信息服务质量评价指标体系,设计调查问卷对使用移动信息资源的用户进行指标重要度调查,利用加权统计方法对调查结果进行计算获得指标权重,通过模糊综合评价方法对西安科技大学图书馆移动信息服务质量进行评价。研究结果显示,该馆移动信息服务质量处于中等偏上水平,该图书馆还需要在服务手段、移动资源、检索系统、个性化服务等方面加强和创新,提高其移动信息服务水平,从而更好地满足用户的移动信息需求。     

国内“211”高校图书馆移动信息服务发展状况

以110所211高校图书馆为调查对象,探讨了我国高校图书馆移动信息服务的现状。调查发现,移动信息服务已经被越来越多的高校图书馆应用,110家图书馆中已经有56.4%图书馆开通移动服务;目前WAP和短信服务仍然是移动信息服务的主要方式,但是近两年移动图书馆客户端服务发展较快,在开通移动信息服务的图书馆中有66.1%的图书馆已经采用客户端的方式提供服务;图书馆使用商用软件作为移动图书馆系统已成为主流,使用自行开发移动信息服务系统的图书馆已成为少数;与早期的移动服务大都针对OPAC系统的服务相比,近年针对电子资源的服务逐渐增多;图书馆移动服务整合揭示及推广有待于更好地改进和完善。     

基于情景化偏好的移动社交网络信息服务自适应建模研究

构建了移动社交网络基于情景化用户偏好的自适应适配信息服务系统模型,提出了移动社交网络的自适应服务发现方案。解决移动社交网络信息服务的发现与推送的延迟问题,实现高效的移动社交网络信息服务推送,对移动社交网络信息服务资源、知识资源进行科学管理。     

基于最大频繁模式挖掘的移动政务系统场景化服务研究

[目的/意义] 虽然移动政务系统资源的碎片化,功能的交互化以及服务的个性化程度越来越高,但是其被弃用和卸载的情形时有发生,究其原因是因为移动政务系统并没有为用户在合适的时间和合适的地点推送合适的信息,表现为其所提供服务的同质化现象较为严重。[方法/过程] 为此,采用最大频繁模式挖掘的方法对移动政务系统场景化服务进行深入研究,在对不同用户聚类的基础上挖掘不同类型用户频繁接入的场景,并基于挖掘出的规律为用户提供针对性的服务。[结果/结论] 移动政务系统的场景化服务既能为用户在任何时间、任何地点提供任何信息,也可以为用户在适当的时间和地点推送适当的信息,移动政务系统场景化服务就是要从满足用户的多元化和个性化服务的方式转向满足用户的场景化信息需求,由以用户为中心转向于以场景为中心,最终提升移动政务用户信息接受的愉悦度。     

移动增值业务服务质量保证策略的应用

江西电信移动增值业务的迅速增长,包括免费群发、业务宣传等业务的大量下发,造成综合业务接入网关(ISAG)平台接口能力不足。为提升移动增值业务质量,节约ISAG平台扩容投资,实现在有限接口能力下优先保证重要收费业务的正常使用,在ISAG平台上实施软件开发并部署了移动增值业务服务质量保证策略。该策略紧密围绕江西电信差异化服务的指导方针,利用接口流量、优先等级、时间窗口等技术手段控制移动增值业务的下发,保证重要业务、敏感业务、高效益业务优先占用ISAG平台接口资源。通过策略部署,移动增值业务质量得到提高,用户感知得到提升。     

Explore instance similarity: An instance correlation based hashing method for multi-label cross-model retrieval

With the rapid growth of multimedia data, cross-media hashing has gained more and more attention. However, most existing cross-modal hashing methods ignore the multi-label correlation and only apply binary similarity to measure the correlation between two instances. Most existing methods perform poorly in capturing the relevance between retrieval results and queries since binary similarity measurement has limited abilities to discriminate minor differences among different instances. In order to overcome the mentioned shortcoming, we introduce a novel notion of instance similarity method, which is used to evaluate the semantic correlation between two specific instances in training data. Base on the instance similarity, we also propose a novel deep instance hashing network, which utilizes instance similarity and binary similarity simultaneously for multi-label cross-model retrieval. The experiment results on two real datasets show the superiority of our proposed method, compared with a series of state-of-the-art cross-modal hashing methods in terms of several metric evaluations.     

用户感知移动图书馆服务质量评价的犹豫模糊Kano-Taguchi方法

[目的/意义]大数据时代下,移动图书馆对用户阅读方式和获取知识具有重要作用。在用户感知移动图书馆服务质量需求由分散转向关联,服务质量评价过程由精确转向模糊多元的情形下,文章提出了一种模糊Kano模型与犹豫模糊Taguchi方法为核心的综合评价方法。[方法/过程]首先,根据用户与决策者的偏好信息以模糊Kano修正指标重要度,分析用户的直接需求。其次,根据评价过程中的不确定性及指标的关联冲突,提出一种犹豫模糊Kano-Taguchi方法,该方法通过对主客观综合重要度的分析体现了用户与决策者对移动图书馆的偏好程度。最后,以五所云南高校为例进行算例分析,且通过对比分析验证本研究方法的科学性与合理性。[结果/结论]研究表明,文章提出的方法不仅简便明了,而且客观充足。