Industry 4.0 is forming the manufacturing industry towards more agile and networked operations enriched by exploitation of new technology. Manufacturing is also one of the key verticals defined by the 5G Infrastructure Public Private Partnership (5G PPP) aimed at digital transformation in industrial communication. In this paper, we will present the current status of the VTT’s (VTT Technical Research Centre of Finland Ltd) Industry X Smart Manufacturing Testbed, which enables Finnish industrial companies to test and experiment new production methods and technologies in an industrial-like environment. The testbed utilizes technologies varying from robotics to 5G and beyond connectivity, and from international data spaces (IDS) to extended forms of reality (AR, VR, MR) and digital twins. The testbed is built in a hierarchical manner. Inter-connected factory level testbeds comprise of factory process level processes that are grouped into use case families. These processes include several proofs of concept demonstrators, which utilize different technologies available in the testbed. In this paper, three recent proof-of-cencepts (PoC) are briefly presented to illustrate the next-generation manufacturing possibilities using the latest communication technologies available.

We introduce evaluation probes for conducting emic, experiential evaluation of urban technologies "in the wild" without direct researcher presence. We commence with a thorough discussion and analysis of the original cultural probes, used by Gaver, Dunne and Pacenti to gain design inspiration, and their subsequent variations. We develop the concept of evaluation probes through careful re-conceptualization and application of the cultural probes in three successive studies conducted in the wild. We recount and reflect on our use of evaluation probes and discuss their merits and limitations in experiential emic evaluation.

We report a pre-study and a three-week in-the-wild deployment of a non-moderated interactive public display prototype designed as a communication extension for an established community. A pre-study was conducted to map existing practices in order to ground the design. We explore the adoption process of the display prototype as well as rhythms of usage. We discuss findings related to extensions of presence within the community, the impact of the display on the community's activities, as well as aspects of appropriation and co-design. We illustrate how the display was used to extend one's presence within the community in addition to existing means of communication. This opens up new design possibilities when social dynamics are carefully negotiated.

This paper proposes and evaluates a method to detect and classify tweets that are triggered by places where users locate. Recently, many related works address to detect real world events from social media such as Twitter. However, geotagged tweets often contain noise, which means tweets which are not content-wise related to users' location. This noise is problem for detecting real world events. To address and solve the problem, we define the Place-Triggered Geotagged Tweet, meaning tweets which have both geotag and content-based relation to users' location. We designed and implemented a keyword-based matching technique to detect and classify place-triggered geotagged tweets. We evaluated the performance of our method against a ground truth provided by 18 human classifiers, and achieved 82% accuracy. Additionally, we also present two example applications for visualizing place-triggered geotagged tweets.

We report a novel deployment of so-called UBI-hotspots in a city center to establish an ecosystem infrastructure for conducting diverse urban computing research and business in authentic urban setting. We focus on the value network of the hotspots where the commercial use of the hotspots generates revenue for covering their operational expenses. The value network has been validated by a 12-month long operation, during which the hotspots and their services have been available to the general public on 24/7 basis.

In this paper, we suggest utilizing modern social networking services for building versatile applications for interactive public displays. We demonstrate the functionality and potential of this approach by presenting a set of services deployed on top of a network of public displays, utilized in a longitudinal study in an authentic city setting. We further propose utilizing users' personal online profiles for building personalized and appealing public social services, and suggest that this may enhance the attractiveness of interactive public displays. Results of this study indicate that using interactive public displays is inherently a social event, and that services supporting group use and sociality succeed in urban smart spaces.

In this paper we present a web-based framework for spatiotemporal screen real estate management of interactive public displays. The framework facilitates dynamic partitioning of the screen real estate into virtual screens assigned for multiple concurrent web applications. The framework is utilized in the implementation of so-called UBI-hotspot, which provides various information services via different interaction modalities including mobile. The framework facilitates seamless integration of third party web applications residing anywhere in the public Internet into the UBI-hotspot, thus catering for a scalable and open architecture. We report the deployment of a network of indoor and outdoor UBI-hotspots at downtown Oulu, Finland. The quantitative data on the usage of the UBI-hotspots implicitly speaks in favor of the practical applicability of the framework.

This paper documents the demonstration showcasing the ScreenSpot resource discovery framework and the Mobile-Vue social media sharing application. The key points of the demonstration include: requesting multidimensional resource availability information from a smart space and visualizing this inform

Big challenge related to the contemporary research on ubiquitous and pervasive computing is that of seamless integration. For the next generation of ubiquitous and distributed applications to emerge, disruptive functionality towards opportunistic and heterogeneous device ensembles is required on all

A HTTP input channel can adapt its behavior according to the changing network status in a context-aware fashion. The adaptation includes both selecting and dynamically switching the underlying connection used, as well as coping with disconnection situation. This paper describes the architecture and design of HTTP input channel for multi-access wireless network. A series of experiments were performed in a GPRS-WLAN integrated environment. Performance metrics were measured and analyzed. In particular, the time delay of channel creation and connection switching was investigated. For channel creation, the majority of time delay comes from the normal operation of HTTP URL connection. More time is needed for best connection evaluation and default gateway changing when more than one connection is available. For passive switching delay both event detection and connection evaluation contribute to the most besides the normal HTTP connection opening

An infrastructure based on multiple heterogeneous access networks is one of the leading enablers for the emerging pervasive and ubiquitous computing paradigm, in which the optimal management of diverse networking resources is a challenging problem. This paper presents a context-aware policy mechanism and related end-to-end evaluation algorithm for adaptive connectivity management of multi-access wireless networks. A policy is used to express the criteria for adaptive selection of the best local and remote network interfaces. The best connection can then be used for the establishment of a channel as well as the maintenance of on-going data transmission. Rich context information is considered in the policy representation with respect to user profile and preference, application characteristics, device capability, and network QoS condition. The decision of the best access networks to be used is made on the basis of an end-to-end evaluation process. The decision can be made in both Master-Slave and Peer-to-Peer modes. The paper focuses on the methods for policy representation and connection evaluation algorithm. A case study is presented to show the usability of the proposed policy mechanism and decision-making algorithm in the adaptive management of heterogeneous networking resources.