基于PDA与RFID技术的自助导览系统设计

主要介绍如何在嵌入式PDA上利用RFID技术、WiFi无线接入技术,设计一个移动终端的自助导览系统,通过IIS Server与RDA来进行数据库的操作,可实时下载更新所需的影音资料,为游客提供解说功能,实现对景点自助导览。同时可上传景点的读取次数,为上层系统提供统计数据服务。     

移动端博物馆导览系统的用户认知分析

博物馆作为传承历史文化、弘扬科学的场所及传播者,在当今社会的文化教育、旅游观光活动中地位举足轻重,而以电子技术与信息技术相结合的博物馆导览系统在其中发挥了重要的作用。文章以博物馆导览系统为研究对象,采用用户问卷调查的方法,对移动端导览系统用户认知进行了分析,提出了移动端博物馆导览系统吸引用户使用的主要因素,研究结果可为系统设计与推广应用提供参考。     

基于老年用户心智模型的智慧厨房适老性饮食管理应用研究

通过分析老年人心智模型和层次分析法(AHP),构建老年用户心智模型,设计出 基于老年用户心智模型的饮食健康管理应用。通过AHP 评估各组成要素,得出影响老年人心智 模型构建因子的排序权重：认知构造、行为指引和情绪显现,以此为理论依据,为老年用户设 计了一款基于老年用户心智模型的智慧厨房适老性饮食管理应用。使饮食管理流程符合老年人 既有认知、形成有效的医养模式。最后,通过用户测试和专家测试验证种子原型,反复修改后 完成最终原型设计。融合老年用户心智模型的适老性饮食管理应用研究,不仅可以为老年人提 供良好的用户体验,还为设计老年用户心智模型的饮食健康管理应用提供理论依据和客观度量 数据。帮助老年人更好地适应智慧厨房。     

基于功能语义的Web服务发现方法

随着Web服务技术的发展与应用,基于功能语义进行Web服务发现已经逐渐成为服务使用者最为迫切的需求.而现有的服务发现机制还不能很好地解决这一问题.所以提出了一种基于功能语义的Web服务发现方法.通过定义Web服务功能描述模型,规范服务提供者和使用者对Web服务功能的描述;同时构建了领域功能本体,提出语义标注的机制,从而让用户可以基于功能语义发现Web服务.并设计了基于功能语义的Web服务描述语言,构建了原型系统,为基于功能语义进行服务发现提供了一种有效可行的方法.     

Minix3的微重启自愈体系架构研究

传统的自愈系统能够自主发现、诊断及排除错误,但是对用户存在影响并丢失组件间的状态一致性,不能够满足高可靠性和高可用性的要求.微重启是面向恢复计算ROC的重要软件恢复机制,以递归方式重启故障组件子集,并结合适毁性组件维护状态一致.针对具有自愈功能的Minix3操作系统,本文提出了基于微重启的自愈体系架构,并以适毁性驱动组件的实验证明,组件重启后可以继续执行未完成的任务,并且重启时间略有增长.     

基于gvSIG Mini的公园导览系统的设计与实现

基于移动平台的公园导览系统得到众多研究者的广泛关注。针对市场上导览软件GPS定位与地图无法结合显示的问题,通过利用My Tracks软件的测量轨迹数据功能和JOSM软件的地图编辑功能,设计并实现了基于gvSIG Mini的公园导览系统。以北京鹫峰国家森林公园为例,开发了LBS与SNS相关的服务功能,该系统具有较强的实用性与扩展性。     

信息可视化设计在助老App界面中的应用

随着老龄化社会的到来，老年群体使用智能手机的普及率和数量逐年增加，同时老年人对智能手机的使用需求也越来越多元化。因此，各类迎合老年人物质和精神需求的“适老性设计”应运而生。文章以老年用户的认知特点、行为习惯和心理需求等方面为出发点，结合信息可视化设计中“以人为本”和交互性的原则，设计出具有易理解记忆、易感知学习和易操作的用户界面（User Interface,UI），并实现助老App中的数据交互、提醒、搜索以及定位等功能，给老年群体提供集成化的一站式服务。     

用户个性化推荐系统的设计与实现

为实现个性化服务,理解用户兴趣就成了提供服务的关键任务,因此,提出了隐性采集用户浏览内容、用户浏览时间和用户操作时间的信息方法,通过对网络爬虫程序抓取的网页进行内容清洗提取出主要内容之后,利用VSM建立文档模型,并采用SVM分类方法建立推荐库.基于从客户端采集的用户兴趣信息建模,以及根据该模型和推荐库的相似度,给用户推荐信息.此外,给出了基于该模型的推荐原型系统的实现,使用查准率来评价该系统.试验结果表明,系统较好地实现了基于用户兴趣来推荐阅读的信息.     

代偿机制下适老智慧产品交互设计研究

探讨智慧养老服务模式下,适老智慧产品交互设计策略与方法,发挥代偿机制作 用实现科技产物与老年人的亲和性匹配。首先通过对比研究分析技术支撑下的“新老年”较之 传统老年人不同特征及更高层次需求信息,探讨老年智能产品交互障碍问题,进而引入感官代 偿设计理论,从产品使用方式层级出发,提出以知觉为导向的功能认知适老化、以效用为导向 的行为交互适老化、以互动为导向的情感体验适老化设计策略与方法,应用多种感官代偿、心 理代偿、运动能力辅助等代偿方法,优化人-机交互绩效,使老年人轻松、愉悦地使用智能产品, 实现技术与人文的融合生长。     

面向网构软件的环境显式化技术

网构化软件处于开放、动态、难控的环境之中,需能感知并适应环境的变化,以持续提供用户满意的服务.传统软件构造技术缺乏对环境感知和适应的系统支持.本文在前期工作基础上,提出一种面向网构软件的软件结构,通过为软件系统配备先验的环境模型和环境规约来实现环境处理的显式化.进而,介绍了我们使用这种方式来处理开放环境之分布异步性、感知信息的不一致性以及环境中人类用户行为特性等的若干具体技术进展.而后,讨论了一种先验环境模型及环境规约的开发方法原理,给出了相应的环境驱动逻辑的静态表达与运行实现机制.该方法和机制可较好地支持环境处理与应用业务逻辑间的关注分离.     

虚拟与增强现实互动旅游系统的设计与实现——以非物质文化遗产南音为例

虚拟与增强现实技术越来越多地应用于互动旅游中,而文化遗产已经成为互动旅游的重要元素。本文以非物质文化遗产南音为例,在分析研究南音传承、发展与传播现状的基础上,提出了南音虚拟与增强现实互动旅游系统的设计思路。使用虚拟现实开发引擎Unity 3D及增强现实开发工具包Vuforia SDK,结合LBS(基于位置的服务)技术,实现了南音互动旅游系统。实验表明,该系统增加了海丝非遗文化南音观赏者的沉浸感、交互性、体验感和参与感,同时满足了广大受众在体验海丝非遗文化时进行偶遇和社交等心理需求,为海丝文化遗产的传承和发展提供了新的思路和有益的借鉴。     

Toward Fine-grained Image Retrieval with Adaptive Deep Learning for Cultural Heritage Image

Fine-grained image classification is a challenging research topic because of the high degree of similarity among categories and the high degree of dissimilarity for a specific category caused by different poses and scales. A cultural heritage image is one of the fine-grained images because each image has the same similarity in most cases. Using the classification technique, distinguishing cultural heritage architecture may be difficult. This study proposes a cultural heritage content retrieval method using adaptive deep learning for fine-grained image retrieval. The key contribution of this research was the creation of a retrieval model that could handle incremental streams of new categories while maintaining its past performance in old categories and not losing the old categorization of a cultural heritage image. The goal of the proposed method is to perform a retrieval task for classes. Incremental learning for new classes was conducted to reduce the re-training process. In this step, the original class is not necessary for re-training which we call an adaptive deep learning technique. Cultural heritage in the case of Thai archaeological site architecture was retrieved through machine learning and image processing. We analyze the experimental results of incremental learning for fine-grained images with images of Thai archaeological site architecture from world heritage provinces in Thailand, which have a similar architecture. Using a fine-grained image retrieval technique for this group of cultural heritage images in a database can solve the problem of a high degree of similarity among categories and a high degree of dissimilarity for a specific category. The proposed method for retrieving the correct image from a database can deliver an average accuracy of 85 percent. Adaptive deep learning for fine-grained image retrieval was used to retrieve cultural heritage content, and it outperformed state-of-the-art methods in fine-grained image retrieval.     

An application of metadata-based image retrieval system for facility management

For facility management, photography is an efficient and accurate method of recording the physical state of infrastructure. However, without an effective organizational scheme, the difficulty of retrieving relevant photos from historical databases can become overly burdensome for highly complex or long-lived assets. To make strategic decisions, it is crucial to retrieve the right information from a plurality of sources in a timely manner. The main objective of this paper is to present a method for organizing and retrieving photos from massive facility management photo databases using photo-metadata: photographed location, camera perspective, and image semantic content information. Indoor localization experiments were performed using Bluetooth technology to infer the location information. Perspective is inferred from the device’s on-board inertial measurement unit (IMU). Image semantic content is inferred using a Convolutional Neural Network (CNN)-based deep learning algorithm. Fusing these three features, seven query options were provided for the user when retrieving images. Leveraging Building Information Modeling (BIM) as a process and Geographic Information Systems (GIS) as a framework, this paper also envisions a federated information management by connecting 2D and 3D facility assets with our real-world map which can be smoothly bridged with our image retrieval system. The realization of the integrated application with BIM and GIS is significantly beneficial for the facility management domain by advancing the understanding of projects in a broader view with a federated data platform. In this research, the framework is illustrated with 21 institutional buildings within the University of Texas at Austin’s main campus, and the authors conclude that the proposed metadata-based image retrieval system can ultimately enhance the better-informed decision-making process through rapid information retrieval.     

Enhancing and evaluating users’ social experience with a mobile phone guide applied to cultural heritage

We designed and built a mobile phone-based guidance system to support shared group experiences by suggesting the use of an eavesdropping metaphor inspired by Sotto Voce that allows visitors to eavesdrop on each other’s audio. Going beyond Sotto Voce, we create a shared experience by synchronizing the audio controls of all people who are eavesdropping on each other. Our contribution is the design of a mobile phone guide for cultural tours that combines a linear tour with in-depth information exploration, GPS-based maps offering group awareness, simple content customization and suggestions, and fluid movement between individual and ad-hoc group touring. The most important contribution is the design of a simple sharing scheme that gives all users in an ad hoc group implicit control over the audio content of everyone currently linked together. We evaluated our approach using data collected from participants, and our results validated the effectiveness and usefulness of our sharing scheme and interface for group experiences. In addition, we gained an understanding of how sharing information during visits to cultural heritage sites by socially related people influences the visiting experience; differing mutual eavesdropping and content control behaviors emerged according to group types (family vs. friends). By enabling groups to share their experience on-site, our system should increase the appeal of mobile phones as electronic tour guides, providing adequate support for shared group experiences.     

On technology for functional requirement-based reference design retrieval in engineering knowledge management

Engineering design is a knowledge-intensive process, and includes conceptual design, detailed design, engineering analysis, assembly design, process design, and performance evaluation. Each of these tasks involves various aspects of technical knowledge and experience. Whether this technical knowledge and experience can be effectively shared is key to increasing product development capability and quality, and also to reducing the duration and cost of the development cycle. Consequently, providing engineering designers various query methods for retrieving engineering knowledge is one of the most important tasks in engineering knowledge management.The study develops a technology for functional requirement-based reference design retrieval as a decision support mechanism, which can assist engineering designers to retrieve relevant design and associated knowledge for reference in conducting functional requirements of a product. This study involves the following tasks: (i) designing a functional requirement-based reference design retrieval process, (ii) developing techniques related to the technology for functional requirement-based reference design retrieval, and (iii) implementing a functional requirement-based reference design retrieval mechanism. The retrieval process includes the steps of functional requirement-based query, case searching and matching, and case ranking. The technology involves (i) a structured query model for functional requirements, (ii) an index structures for historical design cases, (iii) functional requirement-based case searching and matching mechanisms, (iv) a functional requirement-based case ranking mechanism, and (v) a case-based representation of designed entities. Finally, the experimental example with indexing and retrieving similar designed entities is conducted to demonstrate the proposed techniques worked efficiently.     

SMashQ: spatial mashup framework for k-NN queries in time-dependent road networks

The k-nearest-neighbor (k-NN) query is one of the most popular spatial query types for location-based services (LBS). In this paper, we focus on k-NN queries in time-dependent road networks, where the travel time between two locations may vary significantly at different time of the day. In practice, it is costly for a LBS provider to collect real-time traffic data from vehicles or roadside sensors to compute the best route from a user to a spatial object of interest in terms of the travel time. Thus, we design SMashQ, a server-side spatial mashup framework that enables a database server to efficiently evaluate k-NN queries using the route information and travel time accessed from an external Web mapping service, e.g., Microsoft Bing Maps. Due to the expensive cost and limitations of retrieving such external information, we propose three shared execution optimizations for SMashQ, namely, object grouping, direction sharing, and user grouping, to reduce the number of external Web mapping requests and provide highly accurate query answers. We evaluate SMashQ using Microsoft Bing Maps, a real road network, real data sets, and a synthetic data set. Experimental results show that SMashQ is efficient and capable of producing highly accurate query answers.     

基于J2EE和Dijkstra算法的LBS最优路线搜索服务设计

最优路线搜索服务，是LBS定位服务中的重要内容。在基干J2EE架构的LBS平台基础上，较好地融合了Servlet、EJB组件技术，并将一种优化了存储结构的Dijkstra改进算法应用干LBS最优路线搜索服务的设计中，使其能高效率地实现并较好地满足移动业务对定位服务的快速响应要求。     

MINING USER GOALS FOR INDOOR LOCATION‐BASED SERVICES WITH LOW ENERGY AND HIGH QoS

Location‐based services (LBSs) play a very important role in pervasive computing environment, and QoS (quality of service) is one of the key evaluations for LBS. To maintain high QoS, the traditional approaches rely on accurate and continuous localization. However, the energy consumption of the mobile device under this situation is often too high for practical applications. Thus, it seems that the energy consumption and QoS become two conflicting factors in LBS systems. In this article, a new adaptive goal‐aware computing framework (Adaware) is proposed to solve this contradiction. We show that the QoS of LBS can be evaluated by recognizing user goals. We design new algorithms to mine user goals from discontinuous location data to reduce the energy consumption while keeping a high QoS at the same time. More specifically, Adaware employs an accelerometer to implement motion‐based localization, which greatly reduces the unnecessary energy consumption on Wi‐Fi scanning compared to the original continuous localization methods. Then based on the estimated discontiguous critical point traces which have been postprocessed by our proposed Localization Confident Coefficient filter method, a novel N‐gram goal inference algorithm is used to predict the accurate goal. The experimental results in real‐world wireless network environments validate the effectiveness of our framework. We can get 80% QoS under 70% location estimation accuracy within 10 meters and 30% energy saving compared to continuous Wi‐Fi scanning.     

Search on transportation networks for location-based service

The issue of how to provide location-based service (LBS) attracted many researchers. In this paper, we focus on a typical situation of LBS which is to provide services for users in cars that move in a road network. To provide such kind of services, an integration method for representing transportation information with a road map is proposed. By using our integration method, since the transportation information of road networks is managed under the spatial index structure created for road networks, spatial queries on them can take advantages of the spatial index structure and achieve an efficient process. Moreover, we discuss path search, region search, nearest neighbor search and continuous nearest neighbor search in this paper, which are based on transportation networks with (or without) considering the static spatial objects outside the transportation networks. Using transportation information and the corresponding real road network, the paper offers evaluations by comparing our representation method and query method with those in related works. The results show a good performance of our methods.