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Now showing items 11-19 of 19
Attitudes towards knowledge management in Turkish companies
(2002)
Attitudes towards knowledge management in Turkish companies are discussed. More and more companies in Turkish economy are allocating responsibility and a budget for knowledge management. Analysis show that the acts of ...
A software architecture for inventory management system
(2013)
Inventory Management is one of the basic problems in almost every company. Before computer age and integration paper tables and paperwork solutions were being used as inventory management tools. These we very far from being ...
Traffic shaping schemes for improving QoS in data networks
(2012)
As the typical characteristics of traffic in data networks are bursty which is difficult to handle traffic shaping schemes are used for regulating the average rate and hurstiness of a flow of data that enters into the ...
Sparse Channel Estimation for Space-Time Block Coded OFDM-Based Underwater Acoustic Channels
(Institute of Electrical and Electronics Engineers Inc., 2018)
Communication over acoustic signals underwater results in multi-scale multi-lag channels due to multipath propagation. Hence a robust channel estimation technique has to be present at the receiver. In this paper assuming ...
Fully decentralized, collaborative multilateration primitives for uniquely localizing WSNs
(Springer, 2009)
We provide primitives for uniquely localizing WSN nodes. The goal is to maximize the number of uniquely localized nodes assuming a fully decentralized model of computation. Each node constructs a cluster of its own and ...
Non-process and chemical-free offset printing plate
(2009)
[Abstract Not Available]
Gelation electrical conductivity and elasticity of PAM- MWNT
(Cambridge Univ Press, 2011)
Polyacrylamide- Multiwalled carbonnanotube (PAM- MWNT) composites were prepared via free radical crosslinking copolymerization with different amounts of MWNT varying in the range between 0.1 and 15 wt. %. PAM- MWNT composite ...
Feature Extraction Based on Deep Learning for Some Traditional Machine Learning Methods
(Institute of Electrical and Electronics Engineers Inc., 2018)
Deep learning is a subfield of machine learning and deep neural architectures can extract high level features automatically without handcraft feature engineering unlike traditional machine learning algorithms. In this ...
Power transfer networks at RF frequencies "New design procedures with implementation roadmap"
(IEEE, 2006)
The purpose of this work is to provide the necessary background to design wide-band power transfer two-ports, or so-called broadband matching networks, at radio frequencies for wireless communication systems. The importance ...