An Architecture Supporting Intelligent Mobile Healthcare Using Human-Computer Interaction HCI Principles

Recent advancements in the Internet of Things IoT and cloud computing have paved the way for mobile Healthcare (mHealthcare) services. A patient within the hospital is monitored by several devices. Moreover, upon leaving the hospital, the patient can be remotely monitored whether directly using body wearable sensors or using a smartphone equipped with sensors to monitor different user-health parameters. This raises potential challenges for intelligent monitoring of patient’s health. In this paper, an improved architecture for smart mHealthcare is proposed that is supported by HCI design principles. The HCI also provides the support for the User-Centric Design (UCD) for smart mHealthcare models. Furthermore, the HCI along with IoT`s (Internet of Things) 5-layered architecture has the potential of improving User Experience (UX) in mHealthcare design and help saving lives. The intelligent mHealthcare system is supported by the IoT sensing and communication layers and health care providers are supported by the application layer for the medical, behavioral, and health-related information. Health care providers and users are further supported by an intelligent layer performing critical situation assessment and performing a multi-modal communication using an intelligent assistant. The HCI design focuses on the ease-of-use, including user experience and safety, alarms, and error-resistant displays of the end-user, and improves user’s experience and user satisfaction.     

The Relationship Between Mineral Content and Flocculant Characteristics for Slurry Waste Water Recycling at Marble Processing Plants

The requirements for clean water in marble processing are partially realized by treating and recycling slurry wastes from the cutting and processing plant. In this study, the flocculation of calcitic and dolomitic (21.2 % MgO) marble wastes was investigated using six flocculants with different molecular weights and anionic levels. Nine solutions between 0.1 and 2.5 mg/L were prepared, and marble waste samples were treated in natural, slightly acidic, and alkaline media. The anionic flocculants had a more dramatic effect on the slower-settling dolomitic marble than the calcitic marble. Calcite precipitation was better in an alkaline medium, while dolomitic marble precipitation was better at a slightly acidic pH of 6.