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A Proportional Time Allocation Algorithm to Transmit Binary Sensor Decisions for Target Tracking in a Wireless Sensor Network

Masazade, E. | Kose, A.

Article | 2018 | IEEE Transactions on Signal Processing66 ( 1 ) , pp.86 - 100

In this paper, we study the target tracking problem in a wireless sensor network. A sensor receives a measurement from an energy emitting target and employs binary quantization to the received measurement to generate its decision. A sinusoidal waveform with a certain duration is then used to transmit the sensor decision to the fusion center (FC). All sensor decisions are transmitted to the FC over erroneous wireless channels based on a time division multiple access scheme. We introduce the proportional time allocation (PTA) algorithm where at each time step of tracking, PTA jointly determines the sensors binary quantization threshol . . .ds and their time allocations devoted for the transmissions of binary sensor decisions. Simulation results show that, PTA optimally and dynamically distributes the available transmission time among the sensors near the target so that the decisions of such sensors become less subject to channel errors, and turns off the non-informative sensors located far away from the target. Hence, PTA both saves from the number of sensors transmitting to the FC and provides better estimation performance as compared to ad hoc equal time allocation approaches. © 2017 IEEE Daha fazlası Daha az

Numerical study of a simplified cerebral aneurysm using a two different flow diverter stent modeling

Tercanli, M.F. | Mutlu, O. | Olcay, A.B. | Bilgin, C. | Hakyemez, B.

Conference Object | 2019 | TIPTEKNO 2019 - Tip Teknolojileri Kongresi , pp.86 - 100

The effectiveness of clinical treatments in-stent modeling have been recently started to be analyzed using Computational Fluid Dynamics (CFD) technique. Particularly, variation of pressure loss with flow velocity is used to evaluate permeability and internal resistance coefficients of the flow diverter stents to describe the stent properties to CFD model. The velocity profile is described as pulsatile parabolic at the inlet, the pressure is described at the outlet to be 93 mmHg as a mean arterial pressure (MAP) in the present study. The results implied that there was no significant difference found between porous media and stent imp . . .lantation of a flow diverter stent modelings based on the studied cases. However, fluid flow simulations indicated that use of 48 wires stent allows more blood flow passing into the aneurysm sac compared to the 72 and 96 wires stents for the studied geometry. Effect of pressure change in the vessel and shape factor of the artery was neglected. © 2019 IEEE Daha fazlası Daha az

A study on object classification using deep convolutional neural networks and comparison with shallow networks

Erdas, A. | Arslan, E. | Ozturkcan, B. | Yildiran, U.

Conference Object | 2018 | 2018 6th International Conference on Control Engineering and Information Technology, CEIT 2018 , pp.86 - 100

The aim of this work is to solve object classification problem using Neural Networks. Two types of neural networks are used and compared, namely, classical Feed Forward Neural Networks and Deep Convolutional Networks. Success of the designed networks is investigated using CIFAR-10 dataset. © 2018 IEEE.

FairSDP: Fair and Secure Dynamic Cache Partitioning

Sari, S. | Demir, O. | Kucuk, G.

Conference Object | 2019 | UBMK 2019 - Proceedings, 4th International Conference on Computer Science and Engineering , pp.469 - 474

Due to the widespread usage of cloud computing, and remote execution, where the resources of a computer are shared by multiple executions, hardware security gained more attention. It is possible to extract confidential information such as cryptographic keys through cache-based side-channel attacks as in Meltdown and Spectre attacks. Consequently, studies over secure cache architectures has gained a deeper focus. Secure cache architectures come with an inevitable performance penalty, since there is always an overhead for hiding information from the attackers. Subsequently, the performance degradation is traded off with the improvemen . . .t in security. In this paper, we analyze the performance deterioration of the existing architectures and come up with a new solution which improves the fairness of the general framework. We propose a secure cache mechanism that respects fairness among the competing threads within a processor. We evaluate FairSDP architecture in 4-threaded and 8-threaded processors. As a result, we show that we can achieve up to 8.7% performance improvement over the baseline and 9.2% better performance compared to the static partitioning on the average, in an 8-threaded system. We also achieve almost identical results in terms of the fairness metric compared to a non-secure dynamic cache partitioning scheme. © 2019 IEEE Daha fazlası Daha az

Solarux CSP geenhouse, cultvates agrcultural products, generates electrcal energy, indusal fruit and vegetables drying wth wased heat energy

Toygar, M.E. | Incesu, O. | Cetin, Z. | Bayram, T. | Toygar, A.

Conference Object | 2017 | 2017 6th International Conference on Renewable Energy Research and Applications, ICRERA 20172017-January , pp.189 - 194

In sunny developing countries, the majority of the populaton depends on home-grown agriculural products. In this paper, it has been focused on desgning and developing uch a ysem, which generates he electricity and agriculural production wh the remaining energy rom he electricity generaton, and drying he agriculural product so as to increase the value added and o make the invesor more atractive by shortening he depreciaton periods of the investment. It wil be posble o grow agriculural products, dry agriculural products and generate electricity for 12 months in the greenhouses wih his presented project. Solidworks 2016 program package . . . has been used for the desgning the greenhouse. © 2017 IEEE Daha fazlası Daha az

Multiscale tree analysis from satellite images

Ozcan, A.H. | Sayar, Y. | Hisar, D. | Ünsalan, Cem

Conference Object | 2015 | RAST 2015 - Proceedings of 7th International Conference on Recent Advances in Space Technologies , pp.265 - 269

As satellite images cover wide areas and obtaining them has become easier, using these images in agriculture has become an important research area. Especially, satellite images can be used in seasonal crop estimation. In this study, we focused on crop estimation from trees. The boundary of a tree is proportional to its age which gives information on the approximate crop that can be obtained from it. Obtaining the number of trees in a region, with the size of each tree, gives the approximate amount of crop that can be harvested from that region. In this study, we propose a method based on multiple filtering, watershed segmentation, a . . .nd Otsu thresholding to detect trees and their boundaries. To test the proposed method, we picked three satellite images containing 6928 trees. These trees have diameters between 2 to 30 pixels. We compared the proposed method with two other methods in the literature. We summarized the obtained results in this study. © 2015 IEEE Daha fazlası Daha az

Data freshness model for P/S based sensor monitoring system

Serdaroglu, K.C. | Baydere, S.

Conference Object | 2018 | 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 , pp.1 - 4

Publish-Subscribe(P/S) based sensor monitoring systems provide different quality-of-service according to clientserver policies. Using adaptive timing and data freshness models may increase the flexibility of services in these systems. In this paper, we propose two timing models for sensor network based emergency detection P/S Systems in which the timing constraints and data freshness can be dynamically adjusted for user needs. The performance of these models is tested in a real testbed setup. The experimental results reveal that the proposed models can meet the timing and data freshness demands of the clients for applications which . . .acquire physical data from scalar sensors with 2-10s sampling rates. © 2018 IEEE Daha fazlası Daha az

On the performance of asynchronous TCP connections to Wireless Sensor Network over WiFi

K.C. Serdaroglu | S. Baydere

Conference Object | 2014 | IEEE Wireless Communications and Networking Conference, WCNC , pp.3106 - 3111

With Internet of Things (IoT) vision, computing systems get the ubiquity of real world. Wireless Sensor Network (WSN) technology plays a critical role for the construction of this paradigm. Reliable communication between WSN nodes and outside Internet entities will be needed for remote management of Internet Objects. On the other hand, low bandwith, high delay and packet error rates of the underlying wireless medium can make the realization of such TCP connections highly inefficient. In this study, we investigate the performance of asynchronous TCP connections from multiple WiFi clients to a sensor node on WSN. We model the traffic . . .over WSN gateway as M/M/1 queue and present the results of comprehensive simulation tests for performance of TCP connections in terms of throughput and end-to-end delay. The results reveal that the gateway can achieve reasonable Round Trip Times up to 80 simultaneous connections to WSN when WiFi Packet Error Rate is less than 0.2. © 2014 IEEE Daha fazlası Daha az

An ontology based semantic representation for Turkish Cuisine

Ergün, O.O. | Özturk, B.

Conference Object | 2018 | 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 , pp.1 - 4

Following recent advances in digital technologies, many data in various domains have been transformed into digital world and shared with millions of users via social media and web technologies. As a result, big amount of data has presented many challenging problems in different fields, e.g internet of things, artificial intelligence. One of application areas is in food domain. Recognition of food category from images, automatic recipe retrieval from internet and analysis and matching of food images with recipes, ingredients, nutrition values bring cooperation of multi disciplines and technologies. In this work, for the first time, s . . .emantical analysis of Turkish Cuisine is held and various information related to food in Turkish Cuisine is structured in a hierarchical ontology model. A new database containing 50 different food categories and related images is constructed and linked with data such as food properties, recipes, etc. As a result, multimodal information retrieval can be achieved faster in a more semantic way. At the same time, food image classification with deep learning methods is performed and faster connection of recognized food category to related semantic data is provided. © 2018 IEEE Daha fazlası Daha az

Crowd detection in airborne images using spatial point statistics

Özcan, A.H. | Ünsalan, Cem | Reinartz, P.

Conference Object | 2015 | 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings , pp.419 - 422

The crowd density in public places increases in social events. If an emergency occurs during such events, authorities should take urgent measures to prevent causalities. Therefore, crowd detection and analysis is a critical research area. Even though there are several studies on person detection from street or indoor cameras, these may not be directly used to detect or analyze the crowd formed from people. In this study, we approach the problem using aerial images. We propose two novel methods to detect the crowd using spatial statistics. The first novel method is based on the first-order statistics. It uses the nearest neighbor rel . . .ations for each person in the image. The second novel method is based on the second-order statistics. Here, the spatial position of persons are checked whether they are clustered or randomly distributed. We test these two methods on a sample test image and provide performance measures. © 2015 IEEE Daha fazlası Daha az

A study on injectable bone cement

Kapici, I. | Utku, F.S.

Conference Object | 2017 | 2017 Medical Technologies National Conference, TIPTEKNO 20172017-January , pp.1 - 4

Calcium phosphate materials are used as cements, composites and coatings in many medical and dental applications due to their similarity to bone both in composition and in osteoconductive and osteoactive properties. Injectable cement is used in hard tissue repair as an adjunct to internal fixation of fractures. In this study, we experimented with the production and characterization of Ca-P and silk based injectable calcium phosphate cement. HA, TCP, Na2HPO4 and polyamide solution were used to produce injectable bone cement. Mixing and solidification time was documented. The injectable cement material was characterized using XRD, SEM . . . and FTIR. Characterization of samples indicated that a CHA-polymer based injectable cement with a setting time of four minutes and solidification time of ten minutes was obtained. Further studies on cytotoxicity and biocompatibility as well as improvement on solidification time will be conducted. © 2017 IEEE Daha fazlası Daha az

IMODE (interactive MOod Detection Engine) Processor

Savas, M.E. | Guney, I.A. | Tokatli, N.N. | Kisinbay, B. | Kucuk, G.

Conference Object | 2019 | UBMK 2019 - Proceedings, 4th International Conference on Computer Science and Engineering , pp.245 - 250

Applications change their mood from time to time. A memory-intensive application does not need to be always memory-intensive from its first instruction to its last. Similarly, it is highly usual that a computation-intensive application generates heavy memory traffic at certain points of its entire run. Meanwhile, processors are designed to have a fixed resource configuration, which is expected to serve all kinds of applications with all kinds of program phases. In this paper, we propose the iMODE processor, which tracks down instant mood changes of running applications and apply immediate processor mode changes between in-order and . . .out-of-order modes for either saving power or keeping up with the high-performance demands of applications. In our experiments, we show that the iMODE processor can really track the mood changes of applications in an accurate manner, and achieves 17% power savings with only less than 1% of performance drop, on the average across all simulated benchmarks. © 2019 IEEE Daha fazlası Daha az

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