Search results for "communication technology"
showing 10 items of 360 documents
Meanings of communication technology in virtual team meetings : framing technology-related interaction
2018
Communication technology is an essential part of virtual teams in working life. This article presents a qualitative study on the meanings of communication technology in virtual team meetings. The study was conducted by examining frames of technology-related virtual team interaction. Observational data was gathered from six expert team meetings. Technology-related communication episodes (N = 88) were identified from team interaction and then analyzed by means of frame analysis. Four frame categories were found: the practical frame, work frame, user frame, and relational frame. Team members talked about technological properties and functions as well as giving and receiving technological guida…
Solving Two-Person Zero-Sum Stochastic Games With Incomplete Information Using Learning Automata With Artificial Barriers
2021
Learning automata (LA) with artificially absorbing barriers was a completely new horizon of research in the 1980s (Oommen, 1986). These new machines yielded properties that were previously unknown. More recently, absorbing barriers have been introduced in continuous estimator algorithms so that the proofs could follow a martingale property, as opposed to monotonicity (Zhang et al., 2014), (Zhang et al., 2015). However, the applications of LA with artificial barriers are almost nonexistent. In that regard, this article is pioneering in that it provides effective and accurate solutions to an extremely complex application domain, namely that of solving two-person zero-sum stochastic games that…
The fundamental theory of optimal "Anti-Bayesian" parametric pattern classification using order statistics criteria
2013
Author's version of an article in the journal: Pattern Recognition. Also available from the publisher at: http://dx.doi.org/10.1016/j.patcog.2012.07.004 The gold standard for a classifier is the condition of optimality attained by the Bayesian classifier. Within a Bayesian paradigm, if we are allowed to compare the testing sample with only a single point in the feature space from each class, the optimal Bayesian strategy would be to achieve this based on the (Mahalanobis) distance from the corresponding means. The reader should observe that, in this context, the mean, in one sense, is the most central point in the respective distribution. In this paper, we shall show that we can obtain opti…
Marine data collection and transmission system for ECO-boat
2014
Masteroppgave i Informasjons- og kommunikasjonsteknologi IKT590 Universitetet i Agder 2014 Marine data collection is of great importance because the analytical results based onthe collected data can be utilized for many purposes during the design phase beforesale as well as the maintenance phase of the boat after sale. In this thesis, I havedesigned and implemented a marine data collection and transmission system foryachts. The system can collect data from an NMEA network, a wireless sensornetwork, a custom-made CAN-bus network, and other sensors such as a 9degree-of-freedom inertial measurement units. The collected data is stored both atthe boat and at a remote server. In this design, I us…
Identifying future research opportunities in online consumer reviews: the case study of 'TripAdvisor'
2011
Submitted version of an article from the journal: International Journal of Technology Marketing. Published and definitive version available from Inderscience: http://dx.doi.org/10.1504/IJTMKT.2011.045913 The aim of this article is to identify future research opportunities for using online consumer reviews websites such as TripAdvisor.com as a case study. The literature review covers the internet and growth of eTourism, virtual communities, virtual community typologies, and the importance of TripAdvisor.com for travel research, electronic word–of–mouth (eWOM), social networking and the impact of online travel reviews on consumers. Propositions and future research opportunities are then raise…
Power allocation in multi-channel cognitive radio networks with channel assembling
2011
Accepted version of a paper in the book: 2011 IEEE 12th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC). Published version available from the IEEE:http://dx.doi.org/10.1109/SPAWC.2011.5990485 Consider power allocation for Secondary User (SU) packet transmissions over multiple channels with variable Primary User (PU) arrival rates in cognitive radio networks. Two problems are studied in this paper: The first one is to minimize the collision probability with PUs and the second one is to maximize the data rate while keeping the collision probability bounded. It is shown that the optimal solution for the first problem is to allocate all power onto the bes…
A Stochastic Search on the Line-Based Solution to Discretized Estimation
2012
Published version of a chapter in the book: Advanced Research in Applied Artificial Intelligence. Also available from the publisher at: http://dx.doi.org/10.1007/978-3-642-31087-4_77 Recently, Oommen and Rueda [11] presented a strategy by which the parameters of a binomial/multinomial distribution can be estimated when the underlying distribution is nonstationary. The method has been referred to as the Stochastic Learning Weak Estimator (SLWE), and is based on the principles of continuous stochastic Learning Automata (LA). In this paper, we consider a new family of stochastic discretized weak estimators pertinent to tracking time-varying binomial distributions. As opposed to the SLWE, our p…
Conflict resolution in the multi-stakeholder stepped spillway design under uncertainty by machine learning techniques
2021
Abstract The optimal spillway design is of great significance since these structures can reduce erosion downstream of the dams. This study proposes a risk-based optimization framework for a stepped spillway to achieve an economical design scenario with the minimum loss in hydraulic performance. Accordingly, the stepped spillway was simulated in the FLOW-3D® model, and the validated model was repeatedly performed for various geometric states. The results were used to form a Multilayer Perceptron artificial neural network (MLP-ANN) surrogate model. Then, a risk-based optimization model was formed by coupling the MLP-ANN and NSGA-II. The concept of conditional value at risk (CVaR) was utilized…
Parameter optimization for amplify-and-forward relaying with imperfect channel estimation
2009
Cooperative diversity is a promising technology for future wireless networks. In this paper, we consider a cooperative communication system operating in an amplify-and-forward (AF) mode with an imperfectly-known relay fading channel. It is assumed that a pilot symbol assisted modulation (PSAM) scheme with linear minimum mean square estimator (LMMSE) is used for the channel estimation. A simple and easy-to-evaluate asymptotical upper bound (AUB) of the symbol-error-rate (SER) is derived for uncoded AF cooperative systems with quadrature amplitude modulation (QAM) constellations. Based on the AUB, we propose a criterion for the choice of parameters in the PSAM scheme, i.e., the pilot spacing …
Career practitioners' conceptions of competency for social media in career services
2014
This article reports findings from a phenomenographic investigation into career practitioners' understanding of competency for social media in career services. Sixteen Danish and Finnish practitioners with experience using social media in career services were interviewed in focus groups. Competency for social media in career services was conceived as (i) an ability to use social media for delivering information, (ii) an ability to use social media for delivering career services, (iii) an ability to utilise social media for collaborative career exploration and (iv) an ability to utilise social media for co-careering. The findings can be used to develop pre-service and in-service training of …