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A 135 Degrees, Spoof Surface Plasmon Polariton Bend for 1 Thz Band
No full textConference on Terahertz Photonics II Part of SPIE Photonics Europe Conference -- APR 03-MAY 20, 2022 -- ELECTR NETWORKThe state-of-the-art terahertz systems employ conventional, bulky, optical system design approach that lags the miniaturization, high-density integration, and mobility of the terahertz imaging systems. On the other hand, the motivation for miniaturization of the terahertz systems using integrated circuits (ICs) is limited by the conventional terahertz waveguide performance that requires utilization of a novel waveguiding technology. The Spoof Surface Plasmon Polariton (SSPP) waveguide (WG) measurements have recently been reached the record low insertion loss per unit length performance among all planar terahertz WGs at 0.3 THz suggesting tremendous potential for demonstration of high-performance terahertz ICs. Nevertheless, the real potential of the terahertz imaging systems requires demonstration of an imaging system that can provide high-resolution feature extraction of the targets covered by obstacles at real-terahertz frequencies. We present the design and simulation of 135 degrees Spoof Surface Plasmon Polariton (SSPP) bending circuits at 1 THz that are one of the most fundamental building blocks in novel IC technologies that will enable development of high-performance, high-resolution terahertz imaging systems along with the investigation of the coupling mechanism of the SSPP waves thru non-aligned waveguide geometries that is mandatory for implementing standalone terahertz ICs.We acknowledge TUBITAK 119E489 for their financial support.SPIE,IdEx Univ Strasbourg,CNRS,ICube,Univ StrasbourgTUBITAK [119E489
A Fiber-To Waveguide, 1d Grating Coupler Design Using Genetic Algorithm for 1550 Nm Applications
No full textConference on Integrated Photonics Platforms II -- APR 03-MAY 20, 2022 -- ELECTR NETWORKSilicon photonics on silicon-on-insulator (SOI) technology has great potential in the integrated photonics field. Propagation modes are mostly confined within Silicon waveguides because of the high refraction index difference between silicon waveguide and silicon dioxide cladding. Nowadays, couplers designed using this special feature of SOI are in demand. Edge coupler and grating coupler are the two most preferred coupler types for coupling light between integrated photonic circuits and single-mode optical fibers. In this work, we focused on grating couplers to couple light from fiber to horizontal waveguide since their advantages are easy fiber alignment, lower cost, compact design, and more possible optic inputs/outputs. However, in the literature, the fabrication process of grating couplers with high coupling efficiency is complicated. Therefore, in this paper, we are proposing a grating coupler design with standard SOI lithography technology with a minimum feature size of 250 nm. In our research, the finite difference time domain (FDTD) method is utilized to analyze and design the grating coupler structure with a center of 1.55 mu m. We used a genetic algorithm (GA) and particle swarm optimization (PSO) to optimize grating coupler features. SiO2 cladding thickness, SiO2 buried oxide layer thickness, grating widths, and fiber distance from grating couplers are optimized with these optimization processes. Our design is an apodized grating coupler with a - 3.29 dB (46.8%) coupling efficiency and a 3 dB bandwidth of 78 nm. The design layer of the grating coupler is 12 mu m x 16 mu m.H.A.G. acknowledges the partial support from the Scientific and Technical Research Council (TUBITAK) 2210A Grant. This project is supported by TUBITAK under grant 119E501.SPIE,IdEx Univ Strasbourg,CNRS,ICube,Univ StrasbourgScientific and Technical Research Council (TUBITAK) [2210A]; TUBITAK [119E501
Turkey's Foreign Direct Investments: Factors Determining Foreign Direct Investments of Turkish Firms in the Energy Sector
No full textThe aim of this thesis to examine the recent progress of the Turkish firms' internationalization in the observed new markets, namely African region, and energy sector. Thus, this study attempts to understand Turkish firms' major motivations of foreign direct investments (FDIs) and implications of, if any, the policy elite's foreign economic policy preferences on Turkey's outward FDI. My findings revealed that the motivations specific to the companies are market diversification, ensuring energy security, the institutional environment in Turkey, capabilities specific to Turkish companies and cultural affinity. Besides, in the light of the literature on Turkey's foreign policy to- wards the African region, not only firm-level factors, and motivations but also the position of the government in promoting or supporting the outward FDI of Turkish firms have been empirically questioned.Bu tezin amacı, Türk firmalarının gözlemlenen yeni pazarlarda, özellikle Afrika böl- gesi ve enerji sektöründe uluslararasılaşmasının son dönemdeki gelişimini incelemek- tir. Bu nedenle, bu çalışma, Türk firmalarının doğrudan yabancı yatırımlarının ana motivasyonlarını ve eğer varsa, politika yapıcılarının Türkiye'nin dışarıya yapılan doğrudan yabancı yatırım üzerindeki dış ekonomik politika tercihlerinin sonuçlarını anlamaya çalışmaktadır. Bulgularım şirketlere özgü motivasyonların pazar çeşitlendirmesi, enerji güvenliğinin sağlanması, Türkiye'deki kurumsal ortam, Türk şirketlerine özgü yetenekler ve kültürel yakınlık olduğunu ortaya koymuştur. Ayrıca, Türkiye'nin Afrika bölgesine yönelik dış politikasına ilişkin literatür ışığında, sadece firma düzeyindeki faktörler ve motivasyonlar değil, aynı zamanda hükümetin Türk firmalarının dışa dönük doğrudan yabancı yatırımını teşvik etme veya destekleme ko- nusundaki konumu da ampirik olarak sorgulanmıştır
Evaluation of Deep Learning Networks for Predicting Truss Topology Optimization Results
No full textASME International Mechanical Engineering Congress and Exposition (IMECE) -- OCT 30-NOV 03 -- 2022 -- Columbus -- OHThe applicability of artificial neural networks (ANNs) on the prediction of the structural optimization results of a truss structure is investigated. Two different ANN architectures are employed and the effect of using various optimizers and activation functions on their prediction performance is evaluated. Unlike the traditional machine learning network strategies where usually a physical response of the truss optimization (such as compliance, stress, etc.) is predicted, in this study, a new way of prediction is utilized for the truss-like structures; particularly predicting the optimized thickness values of the strut members by the ANNs. Thus, the input data used in these networks are the thickness values of the strut members at a certain initial iteration while the optimized thickness values are predicted as the outputs. A cantilever beam example is presented for the truss optimization to show the efficacy of the presented ANNs. The results indicate that using the thickness values at a certain initial iteration as inputs and final iteration thicknesses as outputs in ANNs are promising for the structural optimization prediction of the presented truss problem with the appropriate selection of the architecture, optimizer, activation function, and the input-output data formation.Amer Soc Mech Engineer
Modeling and Verification of Firing Dynamics of a Multiple Launch Rocket System
No full textASME 2022 International Mechanical Engineering Congress and Exposition, IMECE 2022 -- 30 October 2022 through 3 November 2022 -- 186577Multiple rocket launcher systems have great strategic importance in today's defense systems. Therefore, the development and the quality of these strategically important systems are among the priorities of defense industry companies. The quality of the multiple launcher rocket systems is twofold. 1) Firing the ammunition with the appropriate time interval within the correct trajectories, 2) leaving the firing location quickly after completing the mission. In this study, stabilizer support legs were not used to increase vehicle mobility. The dynamics of a multiple rocket launch vehicle are modeled using rigid bodies and elastic elements with eight degrees of freedom in total. Since a 90-degree firing was performed relative to the longitudinal direction, half-vehicle modeling has been developed in the lateral direction of the vehicle. Firing tests had been executed without a support leg over a Multiple Launch Rocket System. During the firing, measurements were taken with a 3-axis accelerometer and gyroscope over the elevation and azimuth platforms. In addition, LPTs in vertical and lateral directions are placed on the superstructure. With these LPTs, the data obtained from the 3-axis accelerometer and gyroscope on the azimuth platform have been confirmed. The model parameters, stiffness/damping parameters of tires, suspensions, and hydraulic actuator, have been obtained using initial test results with MATLAB™ Parameter Estimator toolbox. The model's accuracy has been verified with a second firing test result. Copyright © 2022 by ASME
Müsteri Tiplerine Göre Mevcut Ürün Fiyatlama Stratejilerinin Gelistirilmesi ve Kar Maksimizasyonuna Etkilerinin İncelenmesi - Bir Banka Örnegi
No full textOne of the most important components of the marketing tools that businesses use in line with their goals is the financial source and the price. Pricing at the right place and time with the appropriate strategy is an important issue in terms of sustainability, which is the main goal of businesses. Pricing includes production and service costs, sales volume, competitors' prices, market conditions, etc. varies depending on the factors. Therefore, the pricing process should be established with appropriate methods and strategies and supported by studies in line with the changing and transforming world dynamics. The aim of this thesis is to analyze the pricing method called customer-based pricing, to ensure the continuity of product and price attractiveness and to develop a price strategy that will maximize total profit. In this context, the time deposit product of a joint stock bank is handled, and the internal and external factors affecting the pricing, depending on the market, are examined. Examples of these factors are customers' consumption behavior, product and price ownership, asset information, estimated income calculations, customers' purchasing tendencies, marketing channels to communicate with customers, competitor prices and market conditions. In line with the principles examined in the literature, the types of customers were decided with methods suitable for the business, bank, structure and nature of the product. Demand forecasting has been studied with a modeling prepared by considering the conditions that will affect the demand of existing customers and potential buyers who already own the product. The main factors that will affect the demand for the product are the sensitivity of the customers to the price, other actions related to the decision to purchase the product and the factors that make up the cost of the product. The demand mentioned in this study, which is intended to be estimated, is whether the customers will extend the time deposit product, that is, the calculation of the process of extending the product period at the end of maturity. It is aimed to minimize the variance between the targeted demand and the actual demand. It has been decided that the most appropriate solution for this working environment where customer and market movements are dynamic is the Boosting algorithm. The pricing process is designed for the existing customer group, which is decided after the demand forecast calculated using the Python program. Then, the customer-specific price determined by appropriate pricing methods was presented to the customer through various communication channels of the bank, and the reaction of the customers to the price and the purchase return rates were examined. It was observed that this study increased profit and income as a result of the new price and the penetration of the previous price with other products and the profit/cost analysis specific to the product. Profitability was also analyzed with the profit margin obtained and the market share that the product brought to the bank.Isletmelerin hedefleri dogrultusunda kullandigi pazarlama araçlarinin finansman kaynagi ve kar getirisi saglayan en önemli bilesenlerinden biri fiyattir. Dogru yer ve zamanda, uygun strateji ile fiyatlama yapmak, isletmelerin baslica hedefi olan varliklarinin devamliligini saglama konusunda önemli bir husustur. Fiyatlandirma üretim ve hizmet giderleri, satis hacmi, rakiplerin fiyatlari, pazar kosullari vb. unsurlara bagli olarak degismektedir. Dolayisiyla fiyatlandirma isleminin uygun yöntem ve stratejiler ile kurularak degisen ve dönüsen dünya dinamiklerine uygun çalismalar ile desteklenmesi gerekmektedir. Bu tez çalismasinin amaci, müsteri bazli fiyatlama adi verilen fiyatlandirma yönteminin incelenerek ürün ve fiyat çekiciliginin devamliliginin saglanmasi ve toplam kari maksimize edecek bir fiyat stratejisinin gelistirilmesidir. Bu kapsamda, anonim bir bankanin, vadeli mevduat ürünü ele alinarak fiyatlamayi etkileyen sirket içi ve disi, pazara bagli, etkenler incelenmistir. Bu etkenlere müsterilerin tüketim davranislari, ürün ve fiyat sahiplikleri, varlik bilgileri, tahmini gelir hesaplamalari, müsterilerin ürünü satin alma egilimleri, müsteriyle iletisim saglanabilecek pazarlama kanallari, rakip fiyatlari ve pazar kosullari örnek verilebilmektedir. Literatürde incelenen ilkeler dogrultusunda isletme, banka, yapisi ve ürünün tabiatina uygun yöntemler ile müsteri tiplerine karar verilmistir. Ürüne halihazirda sahip olan mevcut müsterilerin ve potansiyel alicilarin ürüne olan talebini etkileyecek durumlar gözetilerek hazirlanan bir modelleme ile talep tahmini çalisilmistir. Ürüne olan talebi etkileyecek bu unsurlara baslica, müsterilerin fiyata karsi hassasiyeti, ürünü satin alma karari ile iliskin diger hareketleri ve ürünün maliyetini olusturan etkenler örnek verilebilmektedir. Bu çalismada bahsi geçen, tahmin edilmesi amaçlanan talep, müsterilerin vadeli mevduat ürününü temdit edip etmeyecegi, yani vade sonunda ürün süresini uzatma islemini gerçeklestirme isleminin hesaplanmasi, yönündedir. Hedeflenen talep ile gerçeklesen talep arasindaki varyansin en aza indirgenmesi amaçlanmistir. Müsteri ve pazar hareketlerinin dinamik oldugu bu çalisma ortami için en uygun çözümün Gradyan Artirma algoritmasi olduguna karar verilmistir. Pyhton programi kullanilarak hesaplanan talep tahmini sonrasi kararlastirilan mevcut müsteri grubu için fiyatlandirma süreci tasarlanmistir. Ardindan uygun fiyatlama yöntemleri ile belirlenen müsteriye özel fiyat, bankanin çesitli iletisim kanallari ile müsteriye sunulmus ve müsterilerin fiyata tepkisi ve satin alma dönüs oranlari incelenmistir. Hazirlanan yeni fiyat ile geçmis fiyatin diger ürünler ile penetrasyonu ve ürün özelinde kar/ maliyet analizi sonucu bu çalismanin kar ve geliri artirdigi gözlenmistir. Karlilik, elde edilen kar marji ve ürünün bankaya kazandirdigi pazar payi ile de ayrica incelenmistir
Control System Design and Implementation Based on Big Data and Ontology
No full textAnkura;et al.;Hitachi;KPMG Consulting Co., Ltd.;NTT Data Intellilink Corporation;Think in Data Initiative, Association Inc2022 IEEE International Conference on Big Data, Big Data 2022 -- 17 December 2022 through 20 December 2022 -- 186390In this article, the decision mechanism of a control system has been created by using big data and by applying an ontology model. This type of control is important in order to minimize, or even eliminate human influence in systematic industrial processes. The development presented in the article in order to make the ontology model compatible with a relational database in the decision mechanism, is a step taken to eliminate the human effect. The method used in the article aims to carry out a decision mechanism under the guidance of big data by using relational databases integrated with the ontology model. In line with this goal, the ontology model associated with relational databases with high prevalence will be able to access the continuous data required for the decision process and enrich the decision mechanism. In this study, when the necessary parameters for the decision process are obtained, dynamic threshold determination is provided by a machine learning model with these parameters. This dynamic threshold varies over various time periods, with the combination of inputs provided to the machine learning model and differences in value. Our test results state that the Decision Tree model predictions' accuracy is 100%. © 2022 IEEE.This study has been partially supported by the COGNITWIN project. The COGNITWIN project has been funded by the European Union’s Horizon 2020 research and innovation programme under GA No.870130.Horizon 2020 Framework Programme, H2020; Horizon 2020: 870130ACKNOWLEDGMENT This study has been partially supported by the COGNITWIN project. The COGNITWIN project has been funded by the European Union's Horizon 2020 research and innovation programme under GA No.870130
Measurement of the Energy Response of the Atlas Calorimeter To Charged Pions From W-+/- -> Tau(+/-) (->pi(+/-)nu(tau))nu(tau) Events in Run 2 Data
No full textThe energy response of the ATLAS calorimeter is measured for single charged pions with transverse momentum in the range 10p(T) 300 GeV. The measurement is performed using 139 fb(-1) of LHC proton-proton collision data at root s =13 TeV taken in Run 2 by the ATLAS detector. Charged pions originating from tau-lepton decays are used to provide a sample of high-p(T) isolated particles, where the composition is known, to test an energy regime that has not previously been probed by in situ single-particle measurements. The calorimeter response to single-pions is observed to be overestimated by similar to 2% across a large part of the p(T) spectrum in the central region and underestimated by similar to 4% in the endcaps in the ATLAS simulation. The uncertainties in the measurements are less than or similar to 1% for 15p(T) 185 GeV in the central region. To investigate the source of the discrepancies, the width of the distribution of the ratio of calorimeter energy to track momentum, the energies per layer and response in the hadronic calorimeter are also compared between data and simulation.Y We thank CERN for the very successful operation of the LHC, as well as the support staff from our institutions without whom ATLAS could not be operated efficiently. We acknowledge the support of ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW and FWF, Austria; ANAS, Azerbaijan; SSTC, Belarus; CNPq and FAPESP, Brazil; NSERC, NRC and CFI, Canada; CERN; ANID, Chile; CAS, MOST and NSFC, China; Minciencias, Colombia; MSMT CR, MPOCR and VSC CR, Czech Republic; DNRF and DNSRC, Denmark; IN2P3-CNRS and CEA-DRF/IRFU, France; SRNSFG, Georgia; BMBF, HGF and MPG, Germany; GSRI, Greece; RGC and Hong Kong SAR, China; ISF and Benoziyo Center, Israel; INFN, Italy; MEXT and JSPS, Japan; CNRST, Morocco; NWO, Netherlands; RCN, Norway; MEiN, Poland; FCT, Portugal; MNE/IFA, Romania; JINR; MES of Russia and NRCKI, Russian Federation; MESTD, Serbia; MSSR, Slovakia; ARRS and MIZS, Slovenia; DSI/NRF, South Africa; MICINN, Spain; SRC and Wallenberg Foundation, Sweden; SERI, SNSF and Cantons of Bern and Geneva, Switzerland; MOST, Taiwan; TAEK, Turkey; STFC, United Kingdom; DOE and NSF, United States of America. In addition, individual groups and members have received support from BCKDF, CANARIE, Compute Canada and CRC, Canada; COST, ERC, ERDF, Horizon 2020 and Marie Sklodowska-Curie Actions, European Union; Investissements d'Avenir Labex, Investissements d'Avenir Idex and ANR, France; DFG and AvH Foundation, Germany; Herakleitos, Thales and Aristeia programmes co-financed by EU-ESF and the Greek NSRF, Greece; BSF-NSF and GIF, Israel; Norwegian Financial Mechanism 2014-2021, Norway; NCN and NAWA, Poland; La Caixa Banking Foundation, CERCA Programme Generalitat de Catalunya and PROMETEO and GenT Programmes Generalitat Valenciana, Spain; Goran Gustafssons Stiftelse, Sweden; The Royal Society and Leverhulme Trust, United Kingdom. The crucial computing support from all WLCG partners is acknowledged gratefully, in particular from CERN, theATLAS Tier-1 facilities at TRIUMF (Canada), NDGF(Denmark, Norway, Sweden), CC-IN2P3 (France), KIT/GridKA (Germany), INFN-CNAF (Italy), NL-T1 (Netherlands), PIC (Spain), ASGC (Taiwan), RAL (UK) and BNL (USA), the Tier-2 facilities worldwide and large non-WLCG resource providers. Major contributors of computing resources are listed in Ref. [88].ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW, Austria; FWF, Austria; ANAS, Azerbaijan; SSTC, Belarus; CNPq, Brazil; FAPESP, Brazil; NSERC, Canada; NRC, Canada; CFI, Canada; CERN; ANID, Chile; CAS, China; MOST, China; NSFC, China; Minciencias, Colombia; MSMT CR, Czech Republic; MPOCR, Czech Republic; VSC CR, Czech Republic; DNRF, Denmark; DNSRC, Denmark; IN2P3-CNRS, France; CEA-DRF/IRFU, France; SRNSFG, Georgia; BMBF, Germany; HGF, Germany; MPG, Germany; GSRI, Greece; RGC, China; Hong Kong SAR, China; ISF, Israel; Benoziyo Center, Israel; INFN, Italy; MEXT, Japan; JSPS, Japan; CNRST, Morocco; NWO, Netherlands; RCN, Norway; MEiN, Poland; FCT, Portugal; MNE/IFA, Romania; JINR; MES of Russia, Russian Federation; NRCKI, Russian Federation; MESTD, Serbia; MSSR, Slovakia; ARRS, Slovenia; MIZS, Slovenia; DSI/NRF, South Africa; MICINN, Spain; SRC, Sweden; Wallenberg Foundation, Sweden; SERI, Switzerland; SNSF, Switzerland; Canton of Bern, Switzerland; Canton of Geneva, Switzerland; MOST, Taiwan; TAEK, Turkey; STFC, United Kingdom; DOE, United States of America; NSF, United States of America; BCKDF, Canada; CANARIE, Canada; Compute Canada, Canada; CRC, Canada; COST, European Union; ERC, European Union; ERDF, European Union; Horizon 2020, European Union; Investissements d'Avenir Labex, France; Investissements d'Avenir Idex, France; ANR, France; DFG, Germany; AvH Foundation, Germany; Herakleitos programme; Thales programme; Aristeia programme; EU-ESF, Greece; Greek NSRF, Greece; BSF-NSF, Israel; GIF, Israel; Norwegian Financial Mechanism 2014-2021, Norway; NCN, Poland; NAWA, Poland; La Caixa Banking Foundation, Spain; CERCA Programme Generalitat de Catalunya, Spain; PROMETEO Programme Generalitat Valenciana, Spain; GenT Programme Generalitat Valenciana, Spain; Goran Gustafssons Stiftelse, Sweden; Royal Society, United Kingdom; Leverhulme Trust, United Kingdo
The Ottoman State and Ibn Arabism
No full textThe Ibn Arabian thought has begun to penetrate the educational activities of the Ottoman madrasas with a genuine interpretation since Davud-i Kayseri was deliberatively appointed by Orhan Gazi in 1331 to the Madrasa of Iznik. The graduates of this madrasa introduced the understanding of Ibn Arabi in the tradition of Ottoman education and administration, through respectively the mudarris and the bureaucrats. The appointment of Kayseri to the Madrasa of Iznik demonstrates as a historical reality how there was a strong continuity in the understanding of Ibn Arabi in Anatolia since the times of Seljukids of Rum when Sadraddin Konavi established his school. The other demonstration of this historical reality was in the tradition of Ottoman Sufism which lived for centuries without any loss. The Ottoman Sufis were always Ibn Arabian. This three-dimensional Ibn Arabian- Akbarian- tradition has found a place in the mindset of the Ottoman sultans, Yavuz Sultan Selim, Kanuni Sulayman, and Murad III. On the other hand, the sheikulislams like Ibn Kernal and Ebussuud reinforced this Akbarian tradition through their fatwas. This tradition has created an uninterrupted impact area in the intellectual, scientific, and artistic life of the Ottomans. In the end, the Ottoman Empire has become an Ibn Arabian state, which was not seen before in history. This Akbarian understanding continued until the end of the Empire for good. This article is about that important phenomenon
Exogenous Amylase Reverses Cerebral Ischemia Induced by Selective Intraarterial Injection of Degradable Starch Microspheres: an Angiographic and Histological Study in a Novel in Vivo Animal Model
No full textAIM: To validate a new particulate embolization method using degradable starch microspheres (DSM) and intraarterial exogenous amylase administration, which allow for regulated temporary cerebral arterial embolization without compromising tissue perfusion. MATERIAL and METHODS: Twenty-four male New Zealand rabbits were randomly divided into three groups. All animals underwent routine angiography. The control group received no additional intervention. In the ischemia group, 0.2ml DSM was administered to the animals via the right carotid artery with pulsed, gentle injections to induce ischemia in the cerebral microcirculation. Animals in the reperfusion group received 0.05 ml of exogenous amylase along with DSM administration. Six hours after the procedure, the animals were sacrificed and histopathological analysis was performed. RESULTS: The ischemia group was the most adversely affected group by embolization, with the highest number of pyknotic neurons. The reperfusion group, which received exogenous amylase, had lower pyknotic neurons than the ischemia group. The pyknotic neuron count was similar in some regions between reperfusion and control groups. CONCLUSION: Exogenous amylase can rapidly attenuate cerebral ischemia caused by microembolization with DSM