Alessandra Papetti

Smart Objects: An Evaluation of the Present State Based on User Needs

In the last years, some attempts have been made to explore the use of smart objects, with the purpose of monitoring well-being and supporting people’s independent living. However an inventory of characteristics of smart products currently available on the market is still lacking. The aim of this study is to provide an overview of such products in order to: (1) understand if their features really match users’ needs, answering to the definition of assistive technology and, consequently, (2) understand if an environment embedded with SOs can be considered as assistive too, taking into consideration the attributes given by the definition of the SOs, of being embedded in familiar objects and immerse in the users’ surround.

Smart Home Information Management System for Energy-Efficient Networks

Energy efficiency of smart home systems imposes the intelligent management of a huge quantity of data and the collaboration between multiple stakeholders. Indeed, thanks to recent developments in ICT (Information and Communication Technologies) and IoT (Internet of Things), it is possible to achieve higher performances and offer new energy-control services. However, data must be not only retrieved but also translated into significant information and related to interoperable tasks. This paper focuses on smart home energy control and defines a methodology to improve smart home information management in order to create an extended energy-efficient network comprehending the distributed manufacturing enterprise as well as the energy utility and the consumers. The case study focuses on a sub-set of interoperable smart devices and shows how to apply the proposed information management model to make an extended virtual enterprise provide energy-control services.

Traceability as a means to investigate supply chain sustainability: the real case of a leather shoe supply chain

In recent years, the growing attention to environmental challenges has shown that these issues are becoming of more and more interest to both research and industry. Companies are expected to ensure their products are fully traceable and more sustainable, which requires the involvement of all of the actors in the production network. According to this aim, this study proposes a structured approach that uses the traditional traceability concept as a means to identify the main information needed to assess environmental impacts along the whole supply chain (SC). The proposed approach is composed of four main steps: (i) SC modelling to identify all stakeholders and their inter-relations, (ii) data sharing to collect all relevant data, (iii) data elaboration to calculate performance at different levels of detail and (iv) result interpretation to optimise the SC. The distributed implementation of the approach at different SC steps represents a useful means to practically realise a sustainable SC management. A case study involving a leather shoe SC is used to demonstrate the effectiveness of the approach in identifying criticalities, supporting the selection of the most appropriate suppliers and correctly setting a management strategy towards the optimisation of internal and external traceability and environmental sustainability performances.

Smart Object for AAL: A Review

In the last years, some attempts have been made to explore the use of smart objects, with the purpose of monitoring well-being and supporting independent living. However, an inventory of characteristics of smart assistive devices currently available on the market is still lacking. The aim of this study is to provide an overview of such products and in particular to analyse their functionalities in order to understand if they can be considered inclusive and if they effectively match the needs of elderly. This review can be useful for researchers and designers of Ambient Intelligent Environments, to realise where efforts should be focused in order to match the demand from the elderly people’s side.

Product Innovations and Eco-Sustainability: An Approach to Evaluate the Relationships

The academic and industrial literature presents a lot of innovations to improve the energy efficiency of the home appliances around the world. However, few methodologies are able to combine innovations and eco-sustainability, during the design phase of green products.In this context, the paper defines an approach to analyse the relationships between different types of innovation and the relative environmental impacts, during the product lifecycle. The analysis has been performed by defining innovations categories and comparing the product Life Cycle Assessment before and after their implementation. This approach represents the preliminary phase of the innovation process, required to support the product manager.The approach has been experimented within a household appliances company, highlighting that there are innovations able to reduce the energy and water consumption respectively of 25% and 30%.

The User-Product Ontology: A New Approach to Define an Ontological Model to Manage Product Searching Based on User Needs

Search engines play an important role in determining the success of e-commerce. Despite many efforts have been made to improve searching methods (SM) they remain mostly limited to semantic elaboration of keywords. This implies that the SM are not capable of supporting the research of products that best satisfy customers, according to their characteristics and background. To overcome this limitation, this paper introduces an approach able to define a new ontological model that formalizes the knowledge necessary to implement a search engine capable to guide the customer to search the desired product or service according to his/her characteristics and needs. To this purpose, three essential aspects have been considered: a User Ontology (UO), a Product Ontology (PO) and rules (or properties) to link the user and product ontologies. The described approach is applied, as an example, to the products class known as Smart Objects that are part of the Internet of Things (IoT) market.

Designing a Product Service Platform for Older People: From Needs to Requirements

Helping older people to remain in their homes and to be more autonomous and less isolated, escaping from the potential related depression, is a global challenge. To support people ‘age in place’, the paper proposes a specific data collection to establish the possible requirements of a novel Product Service Platform for wellbeing and health of older people. The study of a community of older people over 75 who live in their homes has allowed acquiring the knowledge of their main needs and characteristics. Two focus groups with experts dealing with the ageing population were then set up to define: (a) how to design an IT artifact that meets end-users needs and (b) the services that a Product Service Platform should provide.

A Method to Make an Existing System Adaptive.

The Adaptive systems are becoming essential into our daily life, thanks to the fast improvement of computing technology and the deployment of Internet of Things (IoT) devices. Despite many efforts have been made to improve adaptive systems design methods they remain very heterogeneous and mostly limited to each domain of application. Moreover, the most of existing adaptive applications propose specific approaches for the development of new systems, without considering the opportunity to convert existing smart systems into adaptive systems. To overcome this limitation, this paper introduces an approach able to support the designers in adapting an already existing system. To this purpose, a new design method, consisting of the three following steps, has been developed: (1) context analysis; (2) adaptive module design; and (3) system re-design. The described approach is applied, as an example, to a Wi-Fi system for the control and management of household appliances developed by a large Italian company.

A Methodology to Design a Knowledge-Based Tool for Residential Buildings Simulation

The actual growing world energy demand is generating strong attention to the energy efficiency and to the environmental sustainability. The residential sector is one of the most energy-intensive reaching about 25% of global energy consumption. Furthermore, it is difficult to understand the real energy use in residential buildings suggesting the development of methodologies and tools to monitor and assess their energy performances. Such an analysis requires defining all the actors, their interaction rules and the intelligent management of a large amount of data. In addition to this, the energy performances of the home environment are closely related to the specific case under investigation, in fact it imposes the analysis of the particular application scenario and the target users to extract parameters able to describe the building behavior. They are related to the technological characteristics of the systems, to the external environment (e.g. external temperature, solar irradiation, etc.) and to the user needs and habits. It introduces some complexities, because many of these data are difficult to find and to predict. Another cause of complexity was introduced by the information and communication technologies (ICT) that creates new relationship between home devices fostering the spread of smart systems. In this scenario, simulation tools have been developed to grasp the real energy performance of a building, but they require a high level of detail for the input data which are often difficult to find. Otherwise, other tools are built for much simplified simulations and typically addressed to inexperienced users neglecting the real complexities of the system.For this reason, the paper presents a new design approach that aims to develop knowledge-based tools with architecture able to simulate the real behavior of the building considering all the actors and their interaction rules, but at the same time containing the features that allow them to be used in fast simulations or by inexperienced users. One of the focuses is the development of an intelligent user interface that, when requested, is able to automate and simplify data entry process. It is particularly useful when the user does not know the necessary input data for the simulation, e.g. energy consumption profiles, detailed features of the building, etc. All the steps of the proposed approach are described in the paper. In the first section is highlighted how the key parameters have been found and how they are organized as creating a knowledge base, while in the second section is shown the operation of the smart user interface and of the simulation tool. The results demonstrate that the proposed knowledge-based approach generates real benefits by simplifying and speeding up the data entry. Furthermore, the study shows how the smart user interface allows performing complex simulations also to novice users.Copyright