This paper sketches a theory of computer-mediated leadership, drawing on research on computer-mediated communication (CMC) and leadership. The forecast it makes for computer-mediated forms of leadership is mixed. Leadership interactions that focus on the personal and dyadic level are predicted to be deficient under conditions of CMC as compared with face-to-face interaction. Two notable exceptions are identified. If message or task equivocality is low, CMC can be more efficient than face-to-face interaction. The second exception concerns attributions of charisma: For leaders who present themselves skilfully and strategically in CMC, followers' impressions are hypothesised to become accentuated or hypercharismatic. The above effects are all hypothesised to occur under conditions of high ...
... advocated a 'social information processing model', the main postulate of which is that people use c...2. Leadership: Great men, prototypes, and fundamental attribution errors. Providing a b...
Modern organizations tend to constitute of communities of practice to cover the side effect of standardization and centralization of knowledge. The distributed nature of knowledge in groups, teams and other departments of organization and complexity of this tacit knowledge lead us to use community of practice as an environment to share knowledge. In this paper we propose an agent mediated community of a practice system using MAS-CommonKADS methodology. We support the principle of autonomy since every single agent, even those in the same community, needs its own autonomy in order to model an organization and its individuals correctly, using this approach, the natural model for an agent based on knowledge sharing system has been resulted. We presented all models of MAS-CommonKADS methodol...
...-oriented enterprise role intending to prototype the model based on Jini and Bluetooth technology. ...
The police in Germany is mainly a matter of the federal states, called "Lander", and only the Federal Police (Bundespolizei) and Germany's Federal Criminal Police Office (Bundeskriminalamt) have nationwide, though limited powers and are the responsibility of the German Federal Ministry of the Interior. North Rhine-Westphalia was chosen as it is the state with the largest number of habitants and of police officers. In the article three main topics are described and analyzed. The first part focuses on the police system and its reform in recent years. The second part shows some more aspects of the modernization of the police since the 1980s, like the integration of women and ethnic minorities in the police, the different activities to enhance the status of police officers for example by be...
... can thus in principle be seen as the prototype for NPM reforms in Germany, taking conditions spec...With this model, with its manageable number of police authorities ...
In this paper we present the design and implementation of an hyper-heuristic for efficiently scheduling independent jobs in Computational Grids. An efficient scheduling of jobs to Grid resources depends on many parameters, among others, the characteristics of the resources and jobs (such as computing capacity, consistency of computing, workload, etc.). Moreover, these characteristics change over time due to the dynamic nature of Grid environment, therefore the planning of jobs to resources should be adaptively done. Existing ad hoc scheduling methods (batch and immediate mode) have shown their efficacy for certain types of resource and job characteristics. However, as stand alone methods, they are not able to produce the best planning of jobs to resources for different types of Grid res...
... in a dynamic environment through a prototype of a Grid simulator [21]. The experimental study s... [8] used GAs for developing two prediction models for the completion time of jobs in a service Grid....
Intrusion detection systems are increasingly a key part of systems defense. Various approaches to intrusion detection are currently being used, but they are relatively ineffective. Artificial Intelligence plays a driving role in security services. This paper proposes a dynamic model of intelligent intrusion detection system, based on a specific AI approach for intrusion detection. The techniques that are being investigated include fuzzy logic with network profiling, which uses simple data mining techniques to process the network data. The proposed hybrid system combines anomaly and misuse detection. Simple fuzzy rules allow us to construct if-then rules that reflect common ways of describing security attacks. We use DARPA dataset for training and benchmarking.
...Our prototype utilizes FuzzyJess [22] to check the rules. The ru...
This paper examines the social relationships in and around a German subsidiary in Hungary during the first 15 years of Hungarian transition to a market economy. It draws on a recent conceptual framework that sees multinational corporations as transnational social spaces, in which transnational communities - communities of individuals that exhibit a unique cross-national organisational identity - may emerge. Empirically investigating two basic types of cross-border social relationship in multinational corporations, the paper argues that, due to the constant interplay of crossborder management and ownership relationships, the emergence of transnational communities is a demanding process, with established communities being precarious entities.
... the adaptation of the Siemens production model in Hungary. There are four different but overlappi... many decades Siemens was considered the prototype of a large German industrial company: i.e. a somew...
Intensity inhomogeneity or intensity non-uniformity (INU) is an undesired phenomenon that represents the main obstacle for magnetic resonance (MR) image segmentation and registration methods. Various techniques have been proposed to eliminate or compensate the INU, most of which are embedded into clustering algorithms, and they generally have difficulties when INU reaches high amplitudes. This study proposes a multiple stage fuzzy c-means (FCM) clustering based algorithm for the estimation and compensation of INU, by modelling it as a slowly varying additive or multiplicative noise. The slowly varying behaviour of the bias or gain field is assured by a smoothing filter that performs a context dependent averaging, controlled by a morphological criterion. The segmentation is also supporte...
..., v^sub i^ represents the centroid or prototype of the ith cluster, and u^sub ik^ ε [0, 1] is the...
The paper analyses the change of job stability and its determinants in the course of time by presenting some empirical evidence from Germany. Drawing upon event history data from the German Federal Labour Office insurance accounts and employing Cox Proportional Hazard Rate Models, we test six core hypotheses on labour market restructuring and its impacts on job stability. Our analysis suggests that during the transition to service society between the 1980s and the 1990s some kind of 'restructuring' of the German labour market has taken place that has simultaneously led to an increasing polarisation and to an increasing levelling out of individual employment chances and risks.
... States are often described as the prototype of "liberal market economies" Germany is suggested...
Tuckova and Zetocha study the connectivity between children's developmental dysphasia and assess the degree of perception and impairment of speech by using artificial neural networks and using knowledge of phonetics. A comparative voice analysis of healthy children and ill children is also performed.
...It is an extra model of the Kohonen map. The second one is not a well-k...Each unit j has an associated prototype vector m^sub j^. Supervised learning means that th...
Semantic analysis of multimedia content is an ongoing research area that has gained a lot of attention over the last few years. Additionally, machine learning techniques are widely used for multimedia analysis with great success. This work presents a combined approach aiming at the semantic adaptation of neural network classifiers in a multimedia framework. Our proposal is based on a fuzzy reasoning engine which is able to evaluate the outputs and the confidence levels of the neural network classifier, using a domain specific knowledge base. The results obtained by the fuzzy reasoning engine are used as input for the adaptation of the network classifier, further increasing its ability to provide accurate classification of the specific content. The improved performance of the adapted neu...
... [11] proposed the combination of top-down (model-driven) and bottom-up segmentation, where informat...In the basic training algorithm, the prototype vectors are trained according to m^sub d^ + 1) = m...
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