Raffaele Gravina

Bio: Raffaele Gravina is an academic researcher from University of Calabria. The author has contributed to research in topics: Wireless sensor network & Wearable computer. The author has an hindex of 26, co-authored 94 publications receiving 3348 citations. Previous affiliations of Raffaele Gravina include University of Calabar & Telecom Italia.

Enabling Effective Programming and Flexible Management of Efficient Body Sensor Network Applications

Abstract: Wireless body sensor networks (BSNs) possess enormous potential for changing people's daily lives. They can enhance many human-centered application domains such as m-Health, sport and wellness, and human-centered applications that involve physical/virtual social interactions. However, there are still challenging issues that limit their wide diffusion in real life: primarily, the programming complexity of these systems, due to the lack of high-level software abstractions, and the hardware constraints of wearable devices. In contrast with low-level programming and general-purpose middleware, domain-specific frameworks are an emerging programming paradigm designed to fulfill the lack of suitable BSN programming support with proper abstraction layers. This paper analyzes the most important requirements for an effective BSN-specific software framework, enabling efficient signal-processing applications. Specifically, we present signal processing in node environment (SPINE), an open-source programming framework, designed to support rapid and flexible prototyping and management of BSN applications. We describe how SPINE efficiently addresses the identified requirements while providing performance analysis on the most common hardware/software sensor platforms. We also report a few high-impact BSN applications that have been entirely implemented using SPINE to demonstrate practical examples of its effectiveness and flexibility. This development experience has notably led to the definition of a SPINE-based design methodology for BSN applications. Finally, lessons learned from the development of such applications and from feedback received by the SPINE community are discussed.

An Edge-Based Architecture to Support Efficient Applications for Healthcare Industry 4.0

Abstract: Edge computing paradigm has attracted many interests in the last few years as a valid alternative to the standard cloud-based approaches to reduce the interaction timing and the huge amount of data coming from Internet of Things (IoT) devices toward the Internet. In the next future, Edge-based approaches will be essential to support time-dependent applications in the Industry 4.0 context; thus, the paper proposes BodyEdge , a novel architecture well suited for human-centric applications, in the context of the emerging healthcare industry. It consists of a tiny mobile client module and a performing edge gateway supporting multiradio and multitechnology communication to collect and locally process data coming from different scenarios; moreover, it also exploits the facilities made available from both private and public cloud platforms to guarantee a high flexibility, robustness, and adaptive service level. The advantages of the designed software platform have been evaluated in terms of reduced transmitted data and processing time through a real implementation on different hardware platforms. The conducted study also highlighted the network conditions (data load and processing delay) in which BodyEdge is a valid and inexpensive solution for healthcare application scenarios.

Wearable Sensors for Human Activity Monitoring: A Review

Abstract: An increase in world population along with a significant aging portion is forcing rapid rises in healthcare costs. The healthcare system is going through a transformation in which continuous monitoring of inhabitants is possible even without hospitalization. The advancement of sensing technologies, embedded systems, wireless communication technologies, nano technologies, and miniaturization makes it possible to develop smart systems to monitor activities of human beings continuously. Wearable sensors detect abnormal and/or unforeseen situations by monitoring physiological parameters along with other symptoms. Therefore, necessary help can be provided in times of dire need. This paper reviews the latest reported systems on activity monitoring of humans based on wearable sensors and issues to be addressed to tackle the challenges.

此处“personality”译法探析

Abstract: 在翟象俊主编的《大学英语》第2册第5单元中，有这样一个句子：“As a boy and then as an adult, I never lost my wonder at the personality that was Einstein.”教参中指出“the personality that was Einstein”应理解为“the personality which was the most striking characteristic of Einstein”，该句译为“作为一个孩子，到后来作为一个成人，我一直对爱因斯坦的个性惊叹不已”。很明显，在这里译者把“personality”理解为“个性，人格”，但本人认为应译为“人物，名人”更妥。“personality”可作“个性，人格”讲，但它还有另外一个重要意思。在陆谷孙主编的《英汉大词典》（1993年版）中，“personality”第3条释义为：“个人，人物，名人”：“appoint a personality to lead a campaign，派一个人去领导一场运动”。“a personality in the news，新闻人物”。在...