基于Google Map的西安旅游电子地图设计与实现

实现移动终端上的电子地图查询和导航功能对城市旅游事业的发展具有重要作用。在申请GoogleMapAPIKey的基础上,基于Android开发平台,通过Java语言调用GoogleMap,可以开发和实现基于Android系统的电子地图应用系统。文中介绍了Android系统平台的搭建、GoogleMapAPI的功能和GoogleMapAPIKey的申请过程,探讨了GoogleMapAPI在电子地图服务中的应用,并以西安旅游智能地图手机软件为例,设计并实现了一个在线移动旅游服务平台,这为移动用户快速通过智能手机获取和导航景点地理信息提供支持。     

基于端和云的大规模上下文管理框架的研究与实现

上下文态势是将大规模、广地域范围内的上下文信息综合在一起形成的一种全局信息.随着各类具备感知能力的移动终端的普及,如何获取这种全局态势并利用态势来为用户提供更好的服务是亟待解决的问题.基于“端+云”相结合的计算模式,提出移动终端的统一抽象模型来实现上下文信息收集,进而提出了在云端对大规模上下文信息进行聚合、基于MapReduce计算模型的态势信息荻取算法.通过一个大规模上下文管理框架对研究内容进行验证,并以一个交通态势实例验证了框架的有效性.     

基于安卓系统的老年人摔倒检测系统的设计与实现

本文借助于Android系统内置的硬件加速度传感器和倾角传感器对运动信息进行获取,结合摔倒过程与其他日常活动不同的数据信息特点,设计并实现了一个基于Android智能手机的摔倒检测系统,从而为老人摔倒损伤提供了一种简单、科学、快捷的检测处理手段。     

基于Android平台的移动位置信息服务开发研究

在移动设备上整合设备位置信息并访问服务器,以获得个性化的基于位置的信息,已成为当前信息服务的一种趋势.Android作为新一代智能手机平台,在开发框架中提供了对位置服务、远程通信的系统级支持,使开发人员可以使用Java语言较方便的开发此类应用.本文介绍了Android平台的架构及模型组件,并研究了基于Android平台...     

基于Android的智能图像共享系统的研究

Android以其开源性、易用性和良好的用户体验,成为智能手机及平板电脑主流的操作系统和移动应用开发平台。对Android系统架构以及基于此平台的应用程序的设计和实现过程进行研究,设计并实现了智能图像共享系统。该系统顺应3G移动互联网技术和微博蓬勃发展的趋势,实现了移动终端对图像的上传、特效编辑、即拍即传、地理信息共享等功能。     

读者行为分析及图书馆移动服务平台构建

移动图书馆能够提供个性化和便捷的移动信息服务,具有广阔的发展前景。在对读者借阅记录进行关联规则分析的基础上,研发了图书馆移动服务平台。该平台采用C/S结构,基于MVC开发模式,采用Java语言完成系统开发,使用Android布局技术完成UI设计,读者可基于智能手机实时进行图书查询、续借、借阅证挂失和个性化图书推荐等,实现读者基于Android智能手机获取图书馆服务的功能。     

基于Android的公共自行车查询系统设计与实现

为方便智能手机用户获取公共自行车站点信息,设计并实现了基于Android平台的公共自行车查询系统。介绍了Android平台上JSON格式数据的存取、XML文件解析、UI与多线程等技术,以及百度地图Android SDK的具体应用。     

基于Android系统的地震科普公共服务应用软件设计

随着移动互联网技术的飞速发展和智能手机的普及,智能手机改变着人们的工作、学习和生活,与此同时,手机APP成为人们获取知识和信息的最重要途径之一.设计实现了基于Android系统的地震科普公共服务应用软件,引入Unity3D技术构建了虚拟地震应急避险场景,在互动体验中科普应急避险知识,寓教于乐.     

基于Android平台的移动图书馆客户端设计与实现

在智能手机软件不断发展的今天,很多传统PC机上的应用正在向智能手机客户端转移。基于Android平台和智能手机的移动图书馆系统实现了客户端与服务器的通讯,使得用户可以通过手机客户端访问和查询各类图书信息。设计了系统框架及功能模块,描述通过无线通信实现客户端与服务器间的通讯的方法,并列出主要模块的实现算法。     

基于Android平台的Metoos社区在线系统的设计与实现

随着Android智能手机的普及,基于Android平台的应用也越来越多。基于Android系统的Metoos社区在线系统旨在开发一个随时随地进行查看社区商品、增加社区商品的应用系统,从而使得用户可以查看社区商品信息、上传自己的商品信息,以及对某件商品进行评论。基于Android平台的Metoos社区在线系统的服务端采用S2SH框架,根据不同的用户,使得用户可以通过Android手机或者平板电脑实现随时获取社区服务。该文详细介绍了基于Android平台开发的原理,并从设计的角度介绍了该系统的系统设计和实现过程。     

MobiByte: An Application Development Model for Mobile Cloud Computing

Mobile cloud computing presents an effective solution to overcome smartphone constraints, such as limited computational power, storage, and energy. As the traditional mobile application development models do not support computation offloading, mobile cloud computing requires novel application development models that can facilitate the development of cloud enabled mobile applications. This paper presents a mobile cloud application development model, named MobiByte, to enhance mobile device applications’ performance, energy efficiency, and execution support. MobiByte is a context-aware application model that uses multiple data offloading techniques to support a wide range of applications. The proposed model is validated using prototype applications and detailed results are presented. Moreover, MobiByte is compared with the most recent application models with a conclusion that it outperforms the existing application models in many aspects like energy efficiency, performance, generality, context awareness, and privacy.     

A prediction and auto-execution system of smartphone application services based on user context-awareness

Smartphones have emerged as suitable environments for user context-awareness and intelligent service provision due to the high penetration rate, the high usability, various embedded sensors, and so on. In particular, its most unique characteristic is the usage of various applications. However, the most of existing studies through the three steps process (log collection, context inference, and service provision) did not consider smartphone applications (Apps) as the target service. Smartphone users still have to use Apps with manual controls by own decision. Therefore, in this paper, we propose a system to predict smartphone applications based on inferring user context. We define a mobile context model with a new level of context (Situation) and its inference method to perceive a user’s intention or purpose related to the App usage. Based on the Situation context, the system predicts Apps which can be useful and helpful for a user and automatically executes it on his/her smartphone. With the proposed system, it will be possible to autonomously provide and manage smartphone application services without users’ perception or intervention.     

Pirax: framework for application piracy control in mobile cloud environment

Mobile cloud computing is an emerging technology that is gaining popularity as a means to extend the capabilities of resource-constrained mobile devices such as a smartphone. Mobile cloud computing requires specialized application development models that support computation offloading from a mobile device to the cloud. The computation offloading is performed by means of offloading application process, application component, entire application, or clone of the smartphone. The offloading of an entire application or clone of the smartphone to cloud may raise application piracy issues, which, unfortunately, have not been addressed in the existing literature. This paper presents a piracy control framework for mobile cloud environment, named Pirax, which prevents mobile applications from executing on unauthenticated devices and cloud resources. Pirax is formally verified using High Level Petri Nets, Satisfiability Modulo Theories Library and Z3 solver. Pirax is implemented on Android platform and analyzed from security and performance perspectives. The performance analysis results show that Pirax is lightweight and easy to integrate into existing mobile cloud application development models.     

基于历史用户QoS感知的Web服务发现方法

目前的Web服务发现方法,由于没有充分利用用户情境信息,导致在服务发现时间和结果准确率方面存在不足。首先对包括当前用户在内的情境相似的用户进行了聚类,缩小了服务发现的范围;然后,在此基础上利用当前用户偏好信息及情境相似的历史用户感知到的候选服务的QoS数据,给出了一种基于历史用户QoS感知的Web服务发现方法,包括候选服务的QoS数据获取和综合权重计算;最后,结合实验并与其他Web服务发现方法进行比较,证明了该方法在服务发现结果的准确率和时间效率方面均有了一定的提升。     

Understanding the impact of personality traits on mobile app adoption – Insights from a large-scale field study

The sheer amount of available apps allows users to customize smartphones to match their personality and interests. As one of the first large-scale studies, the impact of personality traits on mobile app adoption was examined through an empirical study involving 2043 Android users. A mobile app was developed to assess each smartphone user's personality traits based on a state-of-the-art Big Five questionnaire and to collect information about her installed apps. The contributions of this work are two-fold. First, it confirms that personality traits have significant impact on the adoption of different types of mobile apps. Second, a machine-learning model is developed to automatically determine a user's personality based on her installed apps. The predictive model is implemented in a prototype app and shows a 65% higher precision than a random guess. Additionally, the model can be deployed in a non-intrusive, low privacy-concern, and highly scalable manner as part of any mobile app.     

STMAD: sensor-based threat’s mitigation on smartphones using allowlist and denylist

Sensors play a vital role in the smartphone for sensing-enabled mobile activities and applications. Different sources, like mobile applications and websites, access the sensors and use them for various purposes. The user needs permission to access the permission-imposed sensors. Using the generic sensor application programming interface, the user can access the no-permission-imposed sensors directly without any permission. Attackers target these sensors and make the smartphones vulnerable at the application, device and network levels. The attackers access the sensor’s information and use it for different purposes like personal identification number identification and user personal information theft. This paper presents STMAD, a novel allowlist-based intrusion prevention system to mitigate sensor-based threats on smartphones by detecting malicious access of an attacker through different channels. STMAD functions as a lightweight preventive mechanism for all sensors on the smartphone and preventing attackers from accessing sensors maliciously. The experimental results show that the proposed defense mechanism is more efficient and consumes minimal overhead. An informal security analysis also proved that the STMAD protects against various attacks.

     

Interactive middleware architecture for lifelog based context awareness

Due to the development of IT convergence, a wide variety of information is being produced and distributed rapidly in digital form. Lifelog based context awareness is a technology that provides a service automatically based on perceived situational information in ubiquitous environments. To offer customized services to users, the technology of acquiring lifelog based context information in real time is the most important consideration. We propose the interactive middleware architecture for lifelog based context awareness in distributed and ubiquitous environments. Conventional middleware to support ubiquitous environments stores and manages the situational information and service content acquired by centralized storage or a DBMS. Centralized situational information and service content management may impede the autonomy of mobile nodes and the interoperation between different middle software. The proposed method designs a system that can distribute and manage situational information in mobile nodes using mobile devices in distributed and ubiquitous environments and share the service content between interactive middleware through publication. The application system designed in this study was used in a scenario providing situational perception based mobile service and proved to be useful.     

Utilizing a Bluetooth remote lock system for a smartphone

With the advent of mobile devices and the convergence of wireless technologies and the Internet, both the content and the quality of research in this field are subject to regular change. A variety of state-of-the-art computing devices that are compatible with each other have been produced. These devices have the ability to interact with people. This is also known as pervasive computing. Particularly, as smartphones have recently become one of the most popular devices worldwide, various convenient applications are being released. Smartphones available today not only provide the ordinary internal processes such as dialing or receiving phone calls, sending text messages, and doing mobile banking, but also increasingly control various other devices that are part of our daily lives. In effect, this means that through smartphone applications, we can remotely control a variety of external devices such as televisions, projectors for presentations, computers, and even cars. The research in this paper is based on the evolving technological possibilities of using smartphone applications to control external devices. This paper presents the design and implementation of a remote lock system using wireless communication on a smartphone. In this context, remote lock system refers to a lock system that can be controlled remotely by a dedicated Android application. Every smartphone is equipped with Bluetooth which makes this technology possible. The application proposed in this paper uses the existing Bluetooth function on Android smartphones to open and manage locks. The users’ lock information can be stored and managed in real time in the database via a server that is built and managed by a server manager. Even if users forget the password of the lock, our proposed lock system can guide them to retrieve it easily, and a user manual is included to help users navigate the system. This system also provides a variety of management functions such as adding, deleting, modifying, and purchasing the user’s own locks.