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Modeling of Trophospheric Ozone Concentrations Using Genetically Trained Multi-Level Cellular Neural Networks

Advances in Atmospheric Sciences 2007年第5期24卷 907-914页

作者： h.kurtulus ozcan Erdem BILGILI Ulku SAhIN O.Nuri UCAN Cuma BAYAT Istanbul University Engineering Faculty Environmental Eng.Dept.34320AvcilarIstanbulTurkey Tuzla Marine Education Center Tuzla IstanbulTurkey Istanbul University Engineering Faculty Electrical-Electronics Eng.Dept.34320AvcilarIstanbulTurkey Beykent University 34500 Buyukcekmece Istanbul

Tropospheric ozone concentrations, which are an important air pollutant, are modeled by the use of an artificial intelligence structure. Data obtained from air pollution measurement stations in the city of Istanbul are utilized in constituting the model. A supervised algorithm for the evaluation of ozone concentration using a genetically trained multi-level cellular neural network （ML-CNN） is introduced, developed, and applied to real data. A genetic algorithm is used in the optimization of CNN templates. The model results and the actual measurement results are compared and statistically evaluated. It is observed that seasonal changes in ozone concentrations are reflected effectively by the concentrations estimated by the multilevel-CNN model structure, with a correlation value of 0.57 ascertained between actual and model results. It is shown that the multilevel-CNN modeling technique is as satisfactory as other modeling techniques in associating the data in a complex medium in air pollution applications.

关键词： genetic algorithm cellular neural networks (CNN) ozone meteorological data

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The hydro-abrasive erosion wear behavior of duplex-treated surfaces of AISI h13 tool steel

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Science China(Technological Sciences) 2014年第5期57卷 1040-1051页

作者： TUTAR Mumin AYDIN hakan DURMUS Ali BAYRAM Ali YIGIT kurtulus Department of Mechanical Engineering Faculty of Engineering and Architecture Uludag University

The influence of duplex surface treatments consisting of a DC-pulsed plasma nitriding process and subsequent coatings of CrN and TiAlN deposited by physical vapor deposition(PVD)on AISI h13 tool steel was studied in this *** treated samples were characterized using metallographic techniques,SEM,EDS,and microhardness ***-abrasive erosion wear tests were performed in a specifically designed wear tester in which the samples were rotated in a wear tank containing a mixture of distilled water and ceramic abrasive chips with a fixed rotational *** wear rates caused by the abrasive particle impacts were assessed based on accumulated weight loss *** worn surfaces were also characterized using optical microscopy,SEM,and *** measurements indicated a significant increase in the surface hardness of the duplex-treated *** surfaces of the samples with the TiAlN coating were approximately 15 times harder than that of the untreated samples and 3 times that of the plasma nitrided ***-abrasive erosion wear results showed that the duplex surface treatments,especially the CrN coating,displayed the highest erosion wear resistance.

关键词： plasma nitriding physical vapor deposition duplex surface treatment microhardness hydro-abrasive erosion wear

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ThE EVOLUTION OF FIELD DEPLOYABLE fNIR SPECTROSCOPY FROM BENCh TO CLINICAL SETTINGS

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Journal of Innovative Optical health Sciences 2011年第3期4卷 239-250页

作者： kurtulus IZZETOGLU hASAN AYAZ ANNA MERZAGORA MELTEM IZZETOGLU PATRICIA AShEWOKIS SCOTT CBUNCE KAMBIZ POURREZAEI ARYE ROSEN BANU ONARAL School of Biomedical Engineering Science&health Systems 3141 Chestnut Street PhiladelphiaPA 19104USA College of Nursing and health Professions Drexel University PhiladelphiaPAUSA Center for Emerging Neurotechnology and Imaging&Department of Psychiatry Penn State College of Medicine HersheyPAUSA

In the late 1980s and early 1990s,*** Chance and his colleagues,using picosecond-long laser pulses,spearheaded the development of time-resolved spectroscopy techniques in an effort to obtain quantitative information about the optical characteristics of the *** efforts by Chance and colleagues expedited the translation of near-infrared spectroscopy(NIRS)-based techniques into a neuroimaging modality for various cognitive *** in the early 2000s,*** Chance guided and steered the collaboration with the Optical Brain Imaging team at Drexel University toward the development and application of afield deployable continuous wave functional near-infrared spectroscopy(fNIR)system as a means to monitor cognitive functions,particularly during attention and working memory tasks as well as for complex tasks such as war games and air tra±c control scenarios performed by healthy volunteers under operational ***,these collaborative efforts led to various clinical applications,including traumatic brain injury,depth of anesthesia monitoring,pediatric pain assessment,and braincomputer interface in *** this paper,we introduce how these collaborative studies have made fNIR an excellent candidate for specified clinical and research applications,including repeated cortical neuroimaging,bedside or home monitoring,the elicitation of a positive effect,and protocols requiring ecological *** paper represents a token of our gratitude to *** Chance for his influence and *** this manuscript we show our appreciation by contributing to his commemoration and through our work we will strive to advance thefield of optical brain imaging and promote his legacy.

关键词： Functional near-infrared spectroscopy fNIR TBI anesthesia BCI pediatric pain

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