Mobile cloud computing based stroke healthcare system

Information technology has recently seen a huge progress in innovative healthcare technologies that rendered healthcare data bigger. Connectivity on 7/24 basis between human to device and device to device have a crucial role in individuals’ lives. Therefore, Mobile Cloud System (MCC) has become an indispensable tool. Parallel with the rapid developments in the Internet of Things, convergence has become an important issue. Our proposed method, accordingly, can be converged with mobile-cloud environments with cloud computing in handling healthcare information. This study uses Virtual Dedicated Server (VDS) as 4 VCPU and 8 GB RAM and proposes a model based on the Android based mobile phones for stroke patients with cardioembolic (689) and cryptogenic (528) subtypes. The system set up through this study has two basic application elements which are mobile application and server application. Artificial Neural Network (ANN) module is beneficial for classifying the two stroke subtypes while server application is used for saving the data from the patients. Accordingly, our model guarantees availability, security, and scalability as a system for stroke patients applying Stroke dataset for ANN algorithm, Multilayer Perceptron Algorithm (MLP), which has been done for the first time in literature with big data in this scope. The main contributions are: (1) The outcomes will display an individual unique social insurance framework. (2) The outcomes will be utilized for the distinguishing proof of stroke-related data to be gathered by cell phones that are Android based. (3) Stroke patients will find out about their condition of well-being through an ANN application programming interface, which will provide a sort of organization for the patients. Overall, an efficient and user-friendly stroke determination human services framework has been presented through this Healthcare System for patients.     

Android应用软件功能泄露漏洞挖掘工具的设计与实现

Android平台的功能泄露漏洞会导致权限提升和隐私泄露等严重危害,常被恶意软件用于绕过安全机制.针对这一问题,提出一个基于静态分析的功能泄露漏洞挖掘工具CLDroid.CLDroid使用逆向控制流的程序切片算法从源代码中提取程序逻辑,并利用可定制的安全规则库来检测违规行为.实验结果表明,CLDroid能有效挖掘Android源代码中的功能泄露漏洞,且具有较好的可扩展性.     

一种基于Android系统的短信息移动分级安全方法

针对智能手机难以全面保障短信息传输的安全, 提出一种新的基于Android系统的短信息移动分级安全方法.对一般用户短信息, 使用计算复杂度较低的序列加密;对涉及商业信息安全的短信息, 使用基于RSA数字签名的序列加密;对含有用户账号密码的重要短信息, 使用基于数字签名的RSA非对称加密.仿真实验和实际应用表明, 这种移动分级安全方法, 加密的密文中的"0"和"1"接近等概率分布, 具有比特效应, 且性能稳定, 适合应用于资源受限的手机或其他移动终端.     

Accuracy of three Android-based pedometer applications in laboratory and free-living settings

This study examines the accuracy of three popular, free Android-based pedometer applications (apps), namely, Runtastic (RT), Pacer Works (PW), and Tayutau (TY) in laboratory and free-living settings. Forty-eight adults (22.5 ± 1.4 years) completed 3-min bouts of treadmill walking at five incremental speeds while carrying a test smartphone installed with the three apps. Experiment was repeated thrice, with the smartphone placed either in the pants pockets, at waist level, or secured to the left arm by an armband. The actual step count was manually counted by a tally counter. In the free-living setting, each of the 44 participants (21.9 ± 1.6 years) carried a smartphone with installed apps and a reference pedometer (Yamax Digi-Walker CW700) for 7 consecutive days. Results showed that TY produced the lowest mean absolute percent error (APE 6.7%) and was the only app with acceptable accuracy in counting steps in a laboratory setting. RT consistently underestimated steps with APE of 16.8% in the laboratory. PW significantly underestimated steps when the smartphone was secured to the arm, but overestimated under other conditions (APE 19.7%). TY was the most accurate app in counting steps in a laboratory setting with the lowest APE of 6.7%. In the free-living setting, the APE relative to the reference pedometer was 16.6%, 18.0%, and 16.8% for RT, PW, and TY, respectively. None of the three apps counted steps accurately in the free-living setting.     

基于翻转课堂与MOOC的嵌入式软件工程实践教学研究

分析了目前嵌入式软件工程实践课程中存在的问题及原因,提出该课程实验教学中采用翻转课堂与MOOC相结合的教学形式和教学手段。对其中的实践教学环节改革提出了新的构想,并利用Android+Arduino的教学形式加以实践。结果表明,该改革措施可以激发学生的学习兴趣,促进学生对理论知识的掌握与理解,并提高学生的实践和创新能力培养。     

新型智能移动终端取证技术研究

移动互联网技术的高速发展,带动了移动终端的应用与普及,但同时移动终端也被许多不法分子所利用,高科技、高智能的犯罪活动呈现出高速增长及多样化的趋势。针对新型智能移动终端所使用的不同操作系统数据取证难的问题,应深入研究新型智能移动终端取证技术,为电子取证提供强大的技术保障和支持,有效提高案件侦破效率。     

A realistic approach to information services on mobile apps

The deployment of information services through mobile apps is an innovative plan to provide effective services to end users. Libraries can promote and expand their existing information services by offering mobile apps to access electronic resources, the library Web site, online catalogs, and institutional repositories. This article discusses a realistic approach to enhance library services through mobile applications. The present study focuses on mobile applications adopted in the library of Gogte Institute of Technology. It also discusses the working module, features, and framework of mobile apps.     

非物质文化遗产智能交互平台的搭建研究——以吉首大学图书馆为例

论文以吉首大学图书馆的实践为例,探索地方高校图书馆创建非物质文化遗产数据模块的移动智能系统的必要性和技术可行性,初步提出了搭建该系统的硬件与基于B/S结构的UI搜索界面架构模式,并在4.0.3版本的Android模拟器上设计了一些基本界面。     

基于Android平台的图书馆服务系统设计与实现

针对现有图书馆手机服务系统的成本高、数据流量大、响应速度慢等缺点,提出基于Android平台的图书馆服务系统的体系结构设计和解决方案。阐述基于Android平台的图书馆服务系统的设计思想、开发模型、主要功能模块以及关键技术的设计与实现。     

基于智能手机平台的OPAC系统设计和实现——以Android平台为例

随着信息通信技术与智能手机的不断发展和普及,基于智能手机平台的移动应用在各个领域的发展也越来越快。文章着重讨论了图书馆OPAC系统作为移动应用在Android平台智能手机上的设计和实现,从而使图书馆服务更加符合时代需求。