Search results for "NETWORKS"
showing 10 items of 3260 documents
Numerische Lösung gewöhnlicher Differentialgleichungen mit Splinefunktionen
1980
In dieser Arbeit wird ein allgemeines Verfahren zur Erzeugung von Splineapproximationen fur die Losungen von Anfangswertproblemen bei gewohnlichen Differentialgleichungen vorgestellt. Einige der bekannten Spline-approximationsmethoden sind als Spezialfalle enthalten. Eine gangige Vorgehensweise besteht darin, das Intervall, uber dem das Anfangswertproblem gegeben ist, in aquidistante Teilintervalle zu zerlegen und dann sukzessive die Splineapproximation zu definieren. Hierbei wird gefordert, das die Spline-approximation in den Knoten gewisse Bedingungen erfullt. Bei dem hier betrachteten allgemeinen Verfahren werden in den einzelnen Teilintervallen noch zusatzliche Zwischenknoten eingefuhrt…
Einige Bemerkungen zur Dualität in der konvexen Optimierung
1975
Die allgemeine Rockafellarsche Dualitatstheorie wird auf eine Reihe konvexer Optimierungsprobleme angewandt, um Dualitats-, Existenz-und Charakterisierungssatze fur Optimallosungen zu erhalten. Unter anderem werden auf diesem Wege einige schon bekannte Ergebnisse in sehr einfacher Weise wiedergewonnen.
On the path representation of networks
1982
A compact data structure for networks is obtained by storing arcs of paths sequentially. This structure allows forward and backward access from a node to its neighbors.
Network structure and optimal technological innovation
2019
The role of networks in the emergence, diffusion and evolution of technological innovations has attracted much theoretical and empirical attention. Yet, much of the work has explored the role of undirected and homogeneous networks. In real cases, many networks are directed. The flow of information, benefits or observations is directed from one node towards another node. Real networks are also heterogeneous, for example, few nodes have a high degree while many others have a low degree. In this article, we report on the results of an evolutionary agent-based model in which a group of agents, in our case firms, collectively search a complex (rugged) technological landscape and observe each oth…
The Development of Students’ Metacognitive Competences. A Case Study
2010
In the information society metacognitive competencies are essential. Based on some activities from the Enrichment Instrumental Program elaborated by professor Reuven Feuerstein we have designed a program for developing the students capacities of selfcontrol, selfknowing and intelectual learning strategies. The case study presents the formation of students’ metacognitive competences at the "Lucian Blaga" University of Sibiu, "Hermann Oberth" Faculty of Enginereeing, Department of Computers Sciences. A Web based application has been developed in order to enable students to self-evaluate their metacognitive competencies and to acquire self-regulatory abilities.
An Improved Detection Technique for Cyclic-Prefixed OFDM
2010
A novel Orthogonal Frequency Division Multiplexing detection technique compatible to standard (e.g. Wireless LAN) transmitters is proposed. It features enhanced error-rate performance with flexible computational complexity and robustness to imperfect channel estimation. It is based on exploitation of the redundancy available in the cyclic prefix after cancellation of interference from the preceding block. In order to show the effectiveness of our proposal, an analysis of computational complexity and a number of comparisons to the standard per-subcarrier receiver and a previously existing method in terms of error rates are reported.
Superior Performances of the Neural Network on the Masses Lesions Classification through Morphological Lesion Differences
2007
Purpose of this work is to develop an automatic classification system that could be useful for radiologists in the breast cancer investigation. The software has been designed in the framework of the MAGIC-5 collaboration. In an automatic classification system the suspicious regions with high probability to include a lesion are extracted from the image as regions of interest (ROIs). Each ROI is characterized by some features based generally on morphological lesion differences. A study in the space features representation is made and some classifiers are tested to distinguish the pathological regions from the healthy ones. The results provided in terms of sensitivity and specificity will be p…
Demo - MAC learning: Enabling automatic combination of elementary protocol components
2016
Cognition as a way to deal with the challenges of future wireless networks has been largely considered by the recent literature, with a main focus on physical layer adaptability and dynamic spectrum access. In this demo, we show how a simple cognition mechanism can be also applied at the MAC layer, by exploiting the emerging paradigm of programmable wireless cards. The idea is using the formal definition of simple MAC protocol components and platform-independent representation of channel events gathered from the wireless node, for emulating the behavior of protocols which are not currently running on the network, learning about their expected performance, and dynamically reconfiguring the w…
Too Much or Too Little Messaging? Situational Determinants of Guilt About Mobile Messaging
2021
Abstract Mobile messaging has been associated with guilt. Guilt about too much messaging may result from self-control failures during goal conflicts. Conversely, guilt about too little messaging may result from violating the salient norm to be available. This research considers both boundary conditions of guilt about mobile communication—goal conflicts and availability norm salience—simultaneously for the first time. We conducted two preregistered experiments to investigate their interplay. Results from a vignette experiment, but not from a laboratory experiment, support the hypotheses that goal conflicts trigger guilt about using messengers and that guilt about not using messengers arises …
What is it about humanity that we can't give away to intelligent machines? A European perspective
2021
Abstract One of the most significant recent technological developments concerns the development and implementation of ‘intelligent machines’ that draw on recent advances in artificial intelligence (AI) and robotics. However, there are growing tensions between human freedoms and machine controls. This article reports the findings of a workshop that investigated the application of the principles of human freedom throughout intelligent machine development and use. Forty IS researchers from ten different countries discussed four contemporary AI and humanity issues and the most relevant IS domain challenges. This article summarizes their experiences and opinions regarding four AI and humanity th…