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A cyber world (CW) is a digitized world created on cyberspaces inside computers interconnected by networks including the Internet. Following ubiquitous computers, sensors, e‐tags, networks, information, services, etc., is a road towards a smart world (SW) created on both cyberspaces and real spaces. It is mainly characterized by ubiquitous intelligence or computational intelligence pervasion in the physical world filled with smart things. In recent years, many novel and imaginative researches have been conducted to try and experiment a variety of smart things including characteristic smart objects and specific smart spaces or environments as well as smart systems. The next research phase to emerge, we believe, is to coordinate these diverse smart objects and integrate these isolated smart spaces together into a higher level of spaces known as smart hyperspace or hyper‐environments, and eventually create the smart world. In this paper, we discuss the potential trends and related challenges toward the smart world and ubiquitous intelligence from smart things to smart spaces and then to smart hyperspaces. Likewise, we show our efforts in developing a smart hyperspace of ubiquitous care for kids, called UbicKids.

Peer‐to‐Peer computing offers many attractive features, such as collaboration, self‐organization, load balancing, availability, fault tolerance and anonymity. However, it also faces many serious challenges. In our previous work, we implemented a synchronous P2P collaboration platform called TOMSCOP. However, the TOMSCOP was implemented only in Windows XPOS. In this work, we extend our previous work and present a multi‐platform Peer‐to‐Peer system. The proposed system operates very smoothly in UNIX Solaris 9 OS, Linux Suse 9.1 OS, Mac OSX, and Windows XP. In this paper, we present the design of proposed system and four web application tools: info, joint draw pad, shared web browser and subaru avatar.

Real‐time multimedia supervisory systems generally include a distributed system that delivers live video input captured with cameras at the watched person's site, using a PC or hand‐held device at the distant supervisor's site. The system comprises many entities such as cameras for image capture, transmission software, network connections, receiver software, a display device, multimedia processing software and hardware, control software, etc. The purpose of this paper is to realize a safe and convenient supervisory system that autonomously provides users with services that fulfill users' requirements related to quality and privacy in a ubiquitous information environment.

A system is designed by integrating environmental information acquired from the real world and knowledge related to human social activities. A real space understanding mechanism is proposed to infer the situations and relationships of users by combining sensing information and social knowledge. Social knowledge related to human relationships, the life style of the watched person, home structure, etc. is used with ontology to infer the situations of users.

An early prototype was implemented for supervising elderly people and some experiments were performed based on several scenarios. Results obtained from some experiments confirmed that this supervisory system can provide real‐time multimedia supervisory services for elderly people, with reasonable quality‐of‐service and privacy that meet the users' requirements.

The system described in this paper assesses the situation of users and surrounding environmental information to provide appropriate supervisory services. This paper provides insight into the design and development of ubiquitous application systems to realize comfortable and safe services using a combination of environmental information and social knowledge.

The purpose of this paper is to review an emerging type of dwelling, indicated as Smart Home, with a focus on future user lifestyles and needs. Trends toward sustainability and technological changes dramatically alter the concepts of Smart Home. Consequently, real estate decisions are going to be affected by the Smart Home development. Inspired by research in the field of user centered design and future lifestyles, the authors redefine the housing design to increase the acceptance of Smart Homes in the society.

Upcoming trends and developments in housing technologies and concepts are reviewed and analyzed. A multidimensional definition of a Smart Home is suggested which allows a better understanding of the new elements and spaces of this future home. A new concept of a home environment is presented in which virtual space and ambient intelligent space is integrated within the physical space. Furthermore, possible changes in lifestyles enabled by new technological developments are identified. Linking the new home environment concepts with the user's lifestyles provides a research framework for the investigation of Smart Homes. This framework is helpful in addressing the trends of sustainable society inside the domain of Smart Homes and Smart Real Estate.

In this paper, the authors provide answers to questions on the feasibility and impact of new technologies on future lifestyle and dwelling in the domain of real estate.

The presented research framework is not only relevant for academic researchers but also for real estate investors, because it highlights the risks that need to be managed when developing Smart Real Estate.

The purpose of this paper is to fill a gap in the real estate academic literature by defining the essence of real estate in smart urban environments. Space has traditionally been a silent component of real estate. Smart technologies powered by Ubi-comp are turning space into an active part of real estate, which represents a paradigm shift for commercial real estate. This shift requires new concepts and tools to analyse and model real estate in smart cities.

The paper defines the notions of smart space and smart real estate. Several concepts and tools are formulated, starting with a model of space users in smart cities, called the Cyber-Dasein inspired by Heidegger’s existential phenomenology of space.

The paper then analyses smart space’s attributes and proposes several metrics for commercial real estate in smart environments. After introducing three regression models for constructing a price index of smart real estate, the paper concludes by advocating that commercial real estate take an active role in the current debate about smart cities.

The paper does not provide any empirical analysis of smart real estate.

Smart environments offer real estate a unique opportunity to set up methodologies, concepts and tools for new properties in new cities. Now is the time to think carefully about the impact smart technologies will have on commercial properties before other stakeholders (in particular smart cities vendors and multinational technology giants) have fully modelled smart space and its nexus with smart real estate.

This paper is the first paper to provide a conceptual framework for the analysis of commercial real estate in smart cities.

Behavioral pattern mining for intelligent system such as SmEs sensor data are vitally important in many applications and performance optimizations. Sensor pattern mining (SPM) is also dynamic and a hot research issue to pervasive and ubiquitous of smart technologies toward improving human life. However, in large-scale sensor data, exploring and mining pattern, which leads to detect the abnormal behavior is challenging. The paper aims to discuss these issues.

Sensor data are complex and multivariate, for example, which data captured by the sensors, how it is precise, what properties are recorded or measured, are important research issues. Therefore, the method, the authors proposed Sequential Data Mining (SDM) approach to explore pattern behaviors toward detecting abnormal patterns for smart space fault diagnosis and performance optimization in the intelligent world. Sensor data types, modeling, descriptions and SPM techniques are discussed in depth using real sensor data sets.

The outcome of the paper is measured as introducing a novel idea how SDM technique’s scale-up to sensor data pattern mining. In the paper, the approach and technicality of the sensor data pattern analyzed, and finally the pattern behaviors detected or segmented as normal and abnormal patterns.

The paper is focussed on sensor data behavioral patterns for fault diagnosis and performance optimizations. It is other ways of knowledge extraction from the anomaly of sensor data (observation records), which is pertinent to adopt in many intelligent systems applications, including safety and security, efficiency, and other advantages as the consideration of the real-world problems.