Search results for "network"

Trouble in Paradise: a Case of a Technology Industry Supply Network

2009

The development of value networks is regarded as a necessity for achieving agility in global markets. Nowadays the focal companies often state that they are committing to more in-depth partnerships with selected suppliers, which are given more responsibility over both production and R&D. In this article we study the relationship of one focal company with its suppliers and identify the main concerns regarding governance and cooperation within the studied supply network in relation with the focal company’s strategy to enhance its innovative capabilities and ensure capacity in its supplier network. By analyzing the network relationships from three differing vantage points (the focal company, t…

Anonymization as homeomorphic data space transformation for privacy-preserving deep learning

2021

Industry 4.0 is largely data-driven nowadays. Owners of the data, on the one hand, want to get added value from the data by using remote artificial intelligence tools as services, on the other hand, they concern on privacy of their data within external premises. Ideal solution for this challenge would be such anonymization of the data, which makes the data safe in remote servers and, at the same time, leaves the opportunity for the machine learning algorithms to capture useful patterns from the data. In this paper, we take the problem of supervised machine learning with deep feedforward neural nets and provide an anonymization algorithm (based on the homeomorphic data space transformation),…

Skeleton-Based Multiview Reconstruction

2016

International audience; The advantage of skeleton-based 3D reconstruction is to completely generate a single 3D object from well chosen views. Having numerous views is necessary for a reliable reconstruction but projections of skeletons lead to different topologies. We reconstruct 3D objects with curved medial axis (whose topology is a tree) from the perspective skeletons on an arbitrary number of calibrated acquisitions. The main contribution is to estimate the 3D skeleton, from multiple images: its topology is chosen as the closest to those of the perspective skeletons on the set of images, which means that the number of topology changes to map the 3D skeleton topology to topologies on im…

Resurssiperustainen yritysyhteistyö pienten palveluyritysten verkostossa : tapaustutkimus matkailualan verkostosta

2013

Tourism destination and the role of trust

2012

Tourism destinations increasingly pose new challenges to the organizational and management aspects of tourism. The non-cooperative behavior of some companies, the difficulties of sharing a system of values, the absence or inadequacy of destination managers keep some destinations off the map of growth that is sought for by the stakeholders and shareholders of a given resort. This difficulty seems to lie in the scarce knowledge of the system of relations existing between firms and their degree of cooperation. The application of Social Network Analysis (SNA) and some indicators for network analysis provides a clearer and more analytical map of the links between tourism businesses located withi…

Destinazione turistica e networks interni ed esterni: il turismo relazionale

2022

The limitation in the relations between people caused by the pandemic today pushes more and more travellers in search of experiences and interactions with the territories, especially those excluded from the current production processes and the dominant market logic. In this context, the tourism of the roots or return tourism is motivated by a need to rediscover their origins, discover them, or trace them in places related to the history of travellers or their families. We, therefore, describe the main dimensions of the relationship tourism model so that it can be applied to root tourism.

Are customer star ratings and sentiments aligned? A deep learning study of the customer service experience in tourism destinations

2023

AbstractThis study explores the consistency between star ratings and sentiments expressed in online reviews and how they relate to the different components of the customer experience. We combine deep learning applied to natural language processing, machine learning and artificial neural networks to identify how the positive and negative components of 20,954 online reviews posted on TripAdvisor about tourism attractions in Venice impact on their overall polarity and star ratings. Our findings showed that sentiment valence is aligned with star ratings. A cancel-out effect operates between the positive and negative sentiments linked to the service experience dimensions in mixed-neutral reviews.

Tourism Destination Brokers: a network analytic approach

2022

Understanding the interactions of tourist companies could be relevant for the destination’s organisation and management. The present article employs a network analysis to examine inter-organisational interactions and the various roles that some companies assume in tourism destinations. The results reveal the existence of a network in which enterprises, identified as brokers, take on strategic roles both within and outside of their specific sub-sectors of origin. This study proposes new social network analysis indicators to identify the distinctive and prevalent position of company brokers, who manage inter-organisational relations by spontaneously assuming specific roles within the tourist …

Smart Wireless Sensor Networks and Biometric Authentication for Real Time Traffic Light Junctions Management

2013

The main challenge of intelligent transportation systems (ITS) is to deal with ‘real-time’ information to improve vehicular traffic management. Road data can be processed and used for dynamic traffic light management in order to reduce waiting times in queues. This paper proposes an innovative distributed architecture based on a wireless sensor network (WSN) with a network coordinator providing remote and ubiquitous authentication module for managing unexpected events. The architecture is completed by a dynamic module for street priority management depending on traffic rate. Many experimental trials have been carried out considering three different levels of traffic intensity to prove the e…

The forecasting of the roadside pollutant levels to evaluate traffic management measures in Palermo.

2015

The road transport has become the major source of environmental degradation in urban centres. It produces negative externalities (i.e. pollution, delay, etc.) that are usually connected with the queues of traffic flows and the congestion of the road network. The quantitative estimation of roadside pollutant levels is very complex. Many variables are involved such as the type of vehicle (characterized by different antipollution devices, used fuels, engine temperatures, maintenance level of engines, etc.), the different cinematic conditions of the flows, the urban/road network structure, the weather conditions, etc. Therefore it is important to develop scientific tools able to predict roadsid…