Ölmez, E.I. | Kut, D. | Bilge, A.N. | Ölmez, I.

Conference Object | 2004 | Journal of Radioanalytical and Nuclear Chemistry259 ( 2 ) , pp.227 - 231

In ambient air, arsenic to selenium ratio (As/Se) is generally found to be less than 1, except in areas influenced by specific point sources, such as Cu smelters. However, the annual average of this ratio is found to be much higher than unity in Turkey. This finding is rather unique and may provide a marker for air masses influenced by the coal-related emissions in Turkey.

Safak, K.K.

Conference Object | 2004 | Advances in Bioengineering, BED , pp.195 - 196

In this paper we explore methods to achieve actively powered walking on level ground using a simple 2D walker model. The walker is activated either by applying equal joint torques at hip and ankle, or by an impulse applied at toe-off immediately before heel-strike, or by the combination of both. We show that activating the walker by equal joint torques at hip and ankle on level ground is equivalent to the dynamics of the passive walker on a downhill slope. We calculate the stability of the gait cycle by an analytical approximation to the Jacobian of the walking map. Results indicate that short-period gait cycle always has an unstabl . . .e eigenvalue, whereas stability of the long-period gait cycle depends on the selection of initial stance angle. Copyright © 2004 by ASME Daha fazlası Daha az

Köse, G.T. | Hasirci, V.

Conference Object | 2004 | Advances in Experimental Medicine and Biology553 , pp.317 - 329

[No abstract available]

Aydin, ED | Anar, S

Conference Object | 2004 | ED-MEDIA 2004: World Conference on Educational Multimedia, Hypermedia & Telecommunications, Vols. 1-7 , pp.4881 - 4887

https://hdl.handle.net/20.500.11831/7540

Hancioglu, E. | Keskin, A.Ü.

Conference Object | 2004 | Proceedings of the International Conference on Microelectronics, ICM , pp.309 - 312

A novel CMOS negative impedance converter (NIC) circuit is presented. This configuration is based on a cascade of current and voltage followers with unity gains. The circuit simulations show that the NIC has a wide band impedance scaling property, and is suitable for realizing high-negative-valued passive components in IC fabrication ©2004 IEEE.

Dimirovski, G.M. | Lokevenc, I.I. | Tanevska, D.J.

Conference Object | 2004 | 2004 2nd International IEEE Conference 'Intelligent Systems' - Proceedings1 , pp.45 - 52

This paper explores aspects of computational complexity versus rule reduction and of integrity preservation versus optimality index, which have become an issue of considerable concern in learning techniques for adaptive fuzzy inference models. In control oriented applications of adaptive fuzzy inference systems, implemented as fuzzy-neural networks, a balanced observation of these conflicting requirements appeared important for a good yet feasible application design. The focus is confined to a family of adaptive fuzzy inference systems that can be interpreted as a partially connected multilayer feedforward neural networks employing . . .Gaussian activation function. The knowledge base rules are designed implying the connections are a priori fixed, and then the respective strengths adapted on the grounds of input and output data sets. Information granulation plays a significant role too. These as well as membership-function parameters ought to be adapted in a learning-training process via the minimization of an appropriate error function Daha fazlası Daha az

Keskin, A.Ü.

Conference Object | 2004 | Proceedings of the Mediterranean Electrotechnical Conference - MELECON1 , pp.83 - 85

In this sudy, grounded negative impedance (NIC)based design approach to the minimum component oscillators (MCOs) are demonstrated using four different types of universal active elements, namely, second generation positive current conveyor (CCII+), operational transresistance amplifier (OTRA), current differencing buffered amplifier (CDBA), and OP-AMP. Theoretically, the method is applicable to the synthesis of general types of oscillator circuits using abroad set of universal active elements.

Özcan, E. | Onbaşioglu, E.

Conference Object | 2004 | Proceedings of the 2004 Congress on Evolutionary Computation, CEC20042 , pp.1375 - 1381

Determining the optimum data distribution, degree of parallelism and the communication structure on Distributed Memory machines for a given algorithm is not a straightforward task. Assuming that a parallel algorithm consists of consecutive stages, a Genetic Algorithm is proposed to find the best number of processors and the best data distribution method to be used for each stage of the parallel algorithm. Steady state genetic algorithm is compared with transgenerational genetic algorithm using different crossover operators. Performance is evaluated in terms of the total execution time of the program including communication and compu . . .tation times. A computation intensive, a communication intensive and a mixed implementation are utilized in the experiments. The performance of GA provides satisfactory results for these illustrative examples Daha fazlası Daha az

Dag, O. | Ucak, C.

Conference Object | 2004 | 2004 International Conference on Power System Technology, POWERCON 20042 , pp.1309 - 1314

This paper presents an integrated design of a fault classifier which uses a hybrid Wavelet-Artificial Neural Network (ANN) based approach. The data for the fault classifier is produced by PSCAD/EMTDC simulation program for 34.5 kV Sagmalcilar-Maltepe distribution system in Istanbul, Turkey. It is aimed to design a classifier capable of recognizing ten classes of three-phase distribution system faults. A database of line currents and line-to-ground voltages is built up including system faults at different fault inception angles and fault locations. The characteristic information over six-channel of current and voltage samples is extr . . .acted by the wavelet multi-resolution analysis technique. Then, an ANN-based tool was employed for classification task. The main idea of this approach is to solve the complex fault (three-phase short-circuit) classification problem under various system and fault conditions. A self-organizing map, with Kohonen's learning algorithm and type-one learning vector quantization technique is implemented into this study. The performance of the wavelet-neural fault classifier is presented and the results are analyzed in the paper. It is shown that the technique correctly recognizes and discriminates the fault types and faulted phases with a high degree of accuracy in the simulated model distribution system. © 2004 IEEE Daha fazlası Daha az

Tezcan, N. | Cayirci, E. | Caglayan, M.U.

Conference Object | 2004 | IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC2 , pp.989 - 994

In this paper, a new group of end-to-end reliable event transfer schemes is introduced for sensor networks. In these schemes, reliable event delivery is considered rather than reliable delivery of data packets, since the ultimate goal is the detection of events in sensor networks. Reliable event transfer is critical in many applications. Therefore, the need for transferring the events in a reliable way coerced us to introduce a new group of end-to-end event transfer schemes. In sensor networks end-to-end reliable event transfer schemes can be categorized into two broad classes, as acknowledgement based and non-acknowledgement based. . . . Our new schemes introduced in this paper are in acknowledgement based class. The performance of the proposed schemes is also evaluated for various application areas by simulation Daha fazlası Daha az

Ünsalan, Cem | Boyer, K.L.

Conference Object | 2004 | Proceedings - International Conference on Pattern Recognition3 , pp.49 - 52

Maps are vital tools for most government agencies and consumers. However, their manual generation and updating is tedious and time consuming. As a step toward automatic map generation, we introduce a novel system to detect houses and street networks in IKONOS multispectral images. Our system consists of four main blocks: multispectral analysis to detect cultural activity, segmentation of possible human activity regions, decomposition of segmented images, and graph theoretical algorithms to extract the street network and to detect houses over the decompositions. We tested our system on a large and diverse data set. Our results indica . . .te the usefulness of our system in detecting houses and street networks, hence generating automated maps Daha fazlası Daha az

Ünsalan, Cem | Boyer, K.L.

Conference Object | 2004 | Proceedings - International Conference on Pattern Recognition2 , pp.64 - 67

Cities are evolving and districts are changing their characteristics faster than ever before. Although the evolution is slow in the central parts of most cities, it is typically fairly fast in outlying regions. They affect the public and private utility networks and maps become less reliable. As a result, emergency plans based on these maps may be ineffective. To assist experts, planners, policy makers, and civil defense organizations, we are developing automated techniques. In previous work, we considered discriminating rural and urban regions [8]. To automate the fine classification process, this paper introduces graph theoretical . . . measures over grayscale images. These measures are monotonic with increasing structure (organization) in the image. Thus, increased cultural activity and land development are indicated by increases in these measures - without explicit extraction of road networks, buildings, residences etc. We present a theoretical basis for the measures followed by extensive experimental results. We consider commercial IKONOS data, which are metric images. Our dataset is large and diverse, including sea and coastline, rural, forest, residential, industrial, and urban areas. On this data set we obtained promising results Daha fazlası Daha az