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Articles 667441 - 667470 of 5174391
Full-Text Articles in Entire DC Network
On Approximate Nash Equilibria Of The Two-Source Connection Game, Buğra Çaşkurlu, Utku Umur Açikalin, Fati̇h Erdem Kizilkaya, Özgün Eki̇ci̇
On Approximate Nash Equilibria Of The Two-Source Connection Game, Buğra Çaşkurlu, Utku Umur Açikalin, Fati̇h Erdem Kizilkaya, Özgün Eki̇ci̇
Turkish Journal of Electrical Engineering and Computer Sciences
The arbitrary-sharing connection game is prominent in the network formation game literature [1]. An undirected graph with positive edge weights is given, where the weight of an edge is the cost of building it. An edge is built if agents contribute a sufficient amount for its construction. For agent i, the goal is to contribute the least possible amount while assuring that the source node si is connected to the terminal node ti . In this paper, we study the special case of this game in which there are only two source nodes. In this setting, we prove that there …
Enhancement Of Stability Delay Margins By Virtual Inertia Control For Microgrids With Time Delay, Suud Ademnur Hasen, Şahi̇n Sönmez, Saffet Ayasun
Enhancement Of Stability Delay Margins By Virtual Inertia Control For Microgrids With Time Delay, Suud Ademnur Hasen, Şahi̇n Sönmez, Saffet Ayasun
Turkish Journal of Electrical Engineering and Computer Sciences
Large-scale deployment of renewable energy sources (RESs) contributes to fluctuations in the system frequency due to their inherent reduced inertia feature. Time delays have emerged as a major source of concern in microgrids (MGs) as a result of the broad adoption of open communication networks since significant delays inevitably reduce the controller?s performance and even cause instabilities. In this article, a frequency-domain direct method is used to evaluate the impact of the virtual inertia (VI) control on the stability delay margins of MG with communication delays. By avoiding approximation, the approach first removes transcendental terms from characteristic equations and turns …
Chemical Disease Relation Extraction Through The Combination Of Multiple Mention Levels: Relscan+, Stanley Chika Onye, Nazi̇fe Di̇mi̇li̇ler, Ari̇f Akkeleş
Chemical Disease Relation Extraction Through The Combination Of Multiple Mention Levels: Relscan+, Stanley Chika Onye, Nazi̇fe Di̇mi̇li̇ler, Ari̇f Akkeleş
Turkish Journal of Electrical Engineering and Computer Sciences
Chemical-induced disease (CID) relation extraction has been pivotal in the understanding of biological processes. A CID relation between a chemical and disease entity may be extracted either from a single sentence or from two or more adjacent sentences. We use `intrasentence level' to refer to the mention of the desired entities in the same sentence and `intersentence level? to refer to the mention of these entities in two or more adjacent sentences. This study proposes a three-phase architecture for extracting CID relations from biomedical literature by considering both sentence levels and additionally the combination of these two sentence levels which …
Learning To Play An Imperfect Information Card Game Using Reinforcement Learning, Buğra Kaan Demi̇rdöver, Ömer Baykal, Ferdanur Alpaslan
Learning To Play An Imperfect Information Card Game Using Reinforcement Learning, Buğra Kaan Demi̇rdöver, Ömer Baykal, Ferdanur Alpaslan
Turkish Journal of Electrical Engineering and Computer Sciences
Artificial intelligence and machine learning are widely popular in many areas. One of the most popular ones is gaming. Games are perfect testbeds for machine learning and artificial intelligence with various scenarios and types. This study aims to develop a self-learning intelligent agent to play the Hearts game. Hearts is one of the most popular trick-taking card games around the world. It is an imperfect information card game. In addition to having a huge state space, Hearts offers many extra challenges due to its nature. In order to ease the development process, the agent developed in the scope of this …
A Novel Broadband Double-Ring Holed Element Metasurface Absorber To Suppress Emi From Pcb Heatsinks, Bülent Urul, Habi̇b Doğan, İbrahi̇m Bahadir Başyi̇ği̇t, Abdullah Genç
A Novel Broadband Double-Ring Holed Element Metasurface Absorber To Suppress Emi From Pcb Heatsinks, Bülent Urul, Habi̇b Doğan, İbrahi̇m Bahadir Başyi̇ği̇t, Abdullah Genç
Turkish Journal of Electrical Engineering and Computer Sciences
In this study, a new Broadband Double Ring Hole Element (BDHE) meta-surface absorber is studied to suppress EMI from PCB heatsink for 1-12 GHz covering L, S, C, and X bands. The proposed metamaterial-structure consists of resistances and 8 ring resonators, four of which are inner and four are outer that are configured to provide an absorbing effect. For broadband, numerical simulations show that an average of 65% absorption value is obtained between 4-12 GHz. It is determined that this value reached 69.84% by increasing the used resistance values (R = 150?). This value may be significant to reduce the …
Design And Optimization Of Nanooptical Couplers Based On Photonic Crystals Involving Dielectric Rods Of Varying Lengths, Şi̇ri̇n Yazar, Özgür Sali̇h Ergül
Design And Optimization Of Nanooptical Couplers Based On Photonic Crystals Involving Dielectric Rods Of Varying Lengths, Şi̇ri̇n Yazar, Özgür Sali̇h Ergül
Turkish Journal of Electrical Engineering and Computer Sciences
This study presents design and optimization of compact and efficient nanooptical couplers involving photonic crystals. Nanooptical couplers that have single and double input ports are designed to obtain efficient transmission of electromagnetic waves in desired directions. In addition, these nanooptical couplers are cascaded by adding one after another to realize electromagnetic transmission systems. In the design and optimization of all these nanooptical couplers, the multilevel fast multipole algorithm, which is an efficient full-wave solution method, is used to perform electromagnetic analyses and simulations. A heuristic optimization method based on genetic algorithms is employed to obtain effective designs that provide the …
Presenting A Method To Detect Intrusion In Iot Through Private Blockchain, Rezvan Mahmoudie, Saeed Parsa, Amir Masoud Rahmani
Presenting A Method To Detect Intrusion In Iot Through Private Blockchain, Rezvan Mahmoudie, Saeed Parsa, Amir Masoud Rahmani
Turkish Journal of Electrical Engineering and Computer Sciences
Blockchain (BC) has been used as a new solution to overcome security and privacy challenges in the Internet of Things (IoT). However, recent studies have indicated that the BC has a limited scalability and is computationally costly. Also, it has significant overhead and delay in the network, which is not suitable to the nature of IoT. This article aims at implementing BC in the IoT context for smart home management, as the integration of these two technologies ensures the IoT's security and privacy. Therefore, we proposed an overlay network in private BC to optimize its compatibility with IoT by increasing …
Comparison Of Deep Learning And Regression-Based Mppt Algorithms In Pv Systems, Murat Sali̇m Karabi̇naoğlu, Beki̇r Çakir, Mustafa Engi̇n Başoğlu, Abdülvehhab Kazdaloğlu, Azi̇z Güneroğlu
Comparison Of Deep Learning And Regression-Based Mppt Algorithms In Pv Systems, Murat Sali̇m Karabi̇naoğlu, Beki̇r Çakir, Mustafa Engi̇n Başoğlu, Abdülvehhab Kazdaloğlu, Azi̇z Güneroğlu
Turkish Journal of Electrical Engineering and Computer Sciences
Solar energy systems (SES) and photovoltaic (PV) modules should be operated at the maximum power point (MPP) to achieve the highest efficiency in the energy generation processes. Maximum power point tracking (MPPT) applications using conventional methods may not be able to follow the global MPP (GMPP) of the PV system under changing atmospheric conditions and they could oscillate around the local MPP. In this study, a machine learning and deep learning (DL) based long short-term memory (LSTM) model is proposed as an innovative solution for MPPT. Contrary to the traditional MPPT applications using current and voltage sensors, the output resistance …
Inserting Of Heuristic Techniques Into The Stability Regions For Multiarea Load Frequency Control Systems With Time Delays, Mustafa Saka, Şahi̇n Sönmez, İbrahi̇m Eke, Haluk Gözde, Müslüm Cengi̇z Taplamacioğlu, Saffet Ayasun
Inserting Of Heuristic Techniques Into The Stability Regions For Multiarea Load Frequency Control Systems With Time Delays, Mustafa Saka, Şahi̇n Sönmez, İbrahi̇m Eke, Haluk Gözde, Müslüm Cengi̇z Taplamacioğlu, Saffet Ayasun
Turkish Journal of Electrical Engineering and Computer Sciences
The design and optimization of robust controller parameters are required to improve the controller performances and to keep the stability of load frequency control (LFC) system. In addition, reducing the number of iterations and computational time is very important for swiftly tuning of the controller parameters and the system to reach stability rapidly. For this purpose, this study presents the inserting of heuristic optimization techniques into stability regions method identified in proportional-integral (PI) controllers space for multiarea LFC systems with communication time delays (CTDs). This method consists of two steps: determination of stability region for the system and application of …
Improving The Performance Of Industrial Mixers That Are Used In Agricultural Technologies Via Chaotic Systems And Artificial Intelligence Techniques, Onur Kalayci, İhsan Pehli̇van, Selçuk Coşkun
Improving The Performance Of Industrial Mixers That Are Used In Agricultural Technologies Via Chaotic Systems And Artificial Intelligence Techniques, Onur Kalayci, İhsan Pehli̇van, Selçuk Coşkun
Turkish Journal of Electrical Engineering and Computer Sciences
In this study, it is aimed to show how important to apply chaotic systems and Fuzzy Logic artificial intelligence technique to increase the production performance of industrial mixers used in agriculture in terms of important criteria such as product quality, homogeneity, time, and energy saving by using. A PLC (Programmable Logic Controller) controlled mixer whose all functions can be controlled by the HMI (Human Machine Interface) operator panel is designed and manufactured for experimental studies. Water, leonardite and potassium hydroxide (KOH) mixture components are mixed in a newly designed mixer in three different ways by using traditional, chaos, and artificial …
Rtpltool: A Software Tool For Path Loss Modeling In 5g Outdoor Systems, Ci̇han Bariş Findik, Özlem Özgün
Rtpltool: A Software Tool For Path Loss Modeling In 5g Outdoor Systems, Ci̇han Bariş Findik, Özlem Özgün
Turkish Journal of Electrical Engineering and Computer Sciences
The increase in the required bandwidth along with the global growth of existing wireless communication systems is one of the major reasons why research and industry communities are exploring 5G and millimeter-wave frequencies. The advantages of millimeter wave frequencies for 5G applications are a wide range of accessible and unlicensed spectrum, the use of small antennas in RF applications with increasing frequency, and low losses due to the interference effects compared to the currently used frequency bands. However, due to some computational challenges especially at millimeter waves (i.e. in FR2 frequency band), it is necessary to develop efficient software tools …
Cover And Contents
Turkish Journal of Electrical Engineering and Computer Sciences
No abstract provided.
Design And Implementation Of A Low Cost And Portable Tactile Stimulator, Coşkun Kazma, Vecdi̇ Emre Levent, Merve Çardak, Ni̇zametti̇n Aydin
Design And Implementation Of A Low Cost And Portable Tactile Stimulator, Coşkun Kazma, Vecdi̇ Emre Levent, Merve Çardak, Ni̇zametti̇n Aydin
Turkish Journal of Electrical Engineering and Computer Sciences
When central nervous system has a problem, somatic area I and II respond to stimulation differently. Therefore, it is possible to identify some of the central nervous diseases when somatosensory on the fingertip is stimulated and responses are recorded and analyzed. We designed a system to stimulate the mechanoreceptors on fingertips. It is composed of a mechanical system for fingertip stimulation, an embedded controller, a control computer, and a software to control overall operation. During test, mechanoreceptors are stimulated according to the test protocols. Individuals' answers are recorded to be evaluated by the developed software. In this study, several design …
Digital Commons Statistics For September 2022, Liberty University
Digital Commons Statistics For September 2022, Liberty University
Digital Commons Statistics
No abstract provided.
Unsupervised Home Exercises Versus Formal Physical Therapy After Primary Total Hip Arthroplasty: A Systematic Review, Yash P. Chaudhry, Hunter Hayes, Zachary Wells, Efstratios Papadelis, Alfonso Arevalo, Timothy Horan, Harpal S Khanuja, Carl Deirmengian
Unsupervised Home Exercises Versus Formal Physical Therapy After Primary Total Hip Arthroplasty: A Systematic Review, Yash P. Chaudhry, Hunter Hayes, Zachary Wells, Efstratios Papadelis, Alfonso Arevalo, Timothy Horan, Harpal S Khanuja, Carl Deirmengian
Orthopedic Surgery Resident Research
Historically, postoperative exercise and physical therapy (PT) have been viewed as crucial to a successful outcome following primary total hip arthroplasty (THA). This systematic review and meta-analysis aimed to assess differences in both short- and long-term objective and self-reported measures between primary THA patients with formal supervised physical therapy versus unsupervised home exercises after discharge. A search was conducted of six electronic databases from inception to December 14, 2020, for randomized controlled trials (RCTs) comparing changes from baseline in lower extremity strength (LES), aerobic capacity, and self-reported physical function and quality of life (QoL) between supervised and unsupervised physical therapy/exercise …
September 2022 Cvm Library Newsletter
September 2022 Cvm Library Newsletter
CVM Library Newsletters
September 2022 CVM Library Newsletter
Is Your C-Suite Risk Literate?, Jason Bergner, Joshua J. Filzen
Is Your C-Suite Risk Literate?, Jason Bergner, Joshua J. Filzen
Accountancy Faculty Publications and Presentations
Managing risk effectively is essential for business success, and thus understanding risk is vital for business executives. Effective risk management increases firm value, whereas poor risk management will damage shareholder wealth. In this article, we examine the risk literacy of business executives and find significant variation among the leaders we sample. Our findings suggest that business executives would be well served to evaluate their own risk literacy, and remediate, if necessary; to work to increase risk literacy in the company’s employees; and to include risk literacy as an important and routine part of the firm’s overall culture. Because the importance …
Synthesis Of Metastable Ruddlesden–Popper Titanates, (ATio3)NAO, With N ≥ 20 By Molecular-Beam Epitaxy, Matthew R. Barone, Myoungho Jeong, Nicholas Parker, Jiaxin Sun, Dmitri A. Tenne, Kiyoung Lee, Darrell G. Schlom
Synthesis Of Metastable Ruddlesden–Popper Titanates, (ATio3)NAO, With N ≥ 20 By Molecular-Beam Epitaxy, Matthew R. Barone, Myoungho Jeong, Nicholas Parker, Jiaxin Sun, Dmitri A. Tenne, Kiyoung Lee, Darrell G. Schlom
Physics Faculty Publications and Presentations
We outline a method to synthesize (ATiO3)nAO Ruddlesden–Popper phases with high-n, where the A-site is a mixture of barium and strontium, by molecular-beam epitaxy. The precision and consistency of the method described is demonstrated by the growth of an unprecedented (SrTiO3)50SrO epitaxial film. We proceed to investigate barium incorporation into the Ruddlesden–Popper structure, which is limited to a few percent in bulk, and we find that the amount of barium that can be incorporated depends on both the substrate temperature and the strain state of the …
Illustration, Lynne S. Foster
Digital Imaging And Illustration, Lynne S. Foster
Digital Imaging And Illustration, Lynne S. Foster
Open Educational Resources
No abstract provided.
Notre Dame Lawyers Connect: September 2022, Notre Dame Law School
Notre Dame Lawyers Connect: September 2022, Notre Dame Law School
Notre Dame Lawyers Connect
Notre Dame Hosts 2022 Religious Liberty Summit in Rome
New NDLA Board Members
Professors Matt Barrett and Judy Fox retire from ND Law
Alumni Spotlights
- The Law as Leverage, Judge Mary Yu '93 J.D.
- Ballfield to law field: Notre Dame baseball teammates now represent MLB Players Association, Matt Nussbaum '00, '04 J.D. and Jeff Perconte '00, '03 J.D.
Events
- Marcus and Marcus in NYC
- Notre Dame Lawyer Summer Events: Indianapolis and Los Angeles
- Homecoming September 16-17, 2022
- “Staying in the Game”
- 5th annual Law Homecoming Tailgate
Alumni Notes
- Ophelia S. Camina
- Gregory R. Ripple
- Jeremiah Lee
Appreciating The Margin: Examining European Refugee Law Through Germany, Hungary, & Turkey, Melanie Corbett
Appreciating The Margin: Examining European Refugee Law Through Germany, Hungary, & Turkey, Melanie Corbett
Denver Journal of International Law & Policy
No abstract provided.
Vol. 51, No. 1: Front Cover, Denver Journal Of International Law & Policy
Vol. 51, No. 1: Front Cover, Denver Journal Of International Law & Policy
Denver Journal of International Law & Policy
No abstract provided.
International Drug Law And The Sustainable Development Goals: A Sober Assessment Of Compatability, Aidan Peter O'Callaghan
International Drug Law And The Sustainable Development Goals: A Sober Assessment Of Compatability, Aidan Peter O'Callaghan
Denver Journal of International Law & Policy
The regulation of drugs under international law is underpinned by a framework largely unchanged since the 1961 Single Convention on Narcotic Drugs. Sixty years later, this framework continues to inform and restrain domestic drug laws, requiring countries to criminally sanction the possession and trade in specified substances, including those which may otherwise be considered mild or commercially useful. Comparing this framework with the United Nations' "Agenda 2030" Sustainable Development Goals reveals that the international community's ambitions, at least insofar as health, economics, and justice are concerned, are undermined by the Single Convention framework. This is because the prohibitionist approach which …
Vol. 51, No. 1: Masthead, Denver Journal Of International Law & Policy
Vol. 51, No. 1: Masthead, Denver Journal Of International Law & Policy
Denver Journal of International Law & Policy
No abstract provided.
Beyond True And False: Fake News And The Digital Epistemic Divide, Gilad Abiri, Johannes Buchheim
Beyond True And False: Fake News And The Digital Epistemic Divide, Gilad Abiri, Johannes Buchheim
Michigan Technology Law Review
The massive fact-checking, flagging, and content removal campaigns run by major digital platforms during the 2020 elections and the Covid-19 pandemic did some good. However, they failed to prevent substantial portions of the population from believing that the election was stolen or that vaccinations are dangerous.
In this Article, we argue that the reason for the ineffectiveness of truth-based solutions—such as fact-checking— is that they do not reach the heart of the problem. Both scholars and policymakers share the implicit or explicit belief that the rise of digital fake news is harmful mainly because it spreads false information, which lays …
Front Matter, Michigan Technology Law Review
Front Matter, Michigan Technology Law Review
Michigan Technology Law Review
Front Matter for Volume 29, Issue 1 of Michigan Technology Law Review
Rates Of Future Climate Change In The Gulf Of Mexico And The Caribbean Sea: Implications For Coral Reef Ecosystems, A. E. Lawman, S. G. Dee, K. L. Delong, A. M.S. Correa
Rates Of Future Climate Change In The Gulf Of Mexico And The Caribbean Sea: Implications For Coral Reef Ecosystems, A. E. Lawman, S. G. Dee, K. L. Delong, A. M.S. Correa
Faculty Publications
Rising temperatures and ocean acidification due to anthropogenic climate change pose ominous threats to coral reef ecosystems in the Gulf of Mexico (GoM) and the western Caribbean Sea. Unfortunately, the once structurally complex coral reefs in the GoM and Caribbean have dramatically declined since the 1970s; relatively few coral reefs still exhibit a mean live coral cover of >10%. Additional work is needed to characterize future climate stressors on coral reefs in the GoM and the Caribbean Sea. Here, we use climate model simulations spanning the period of 2015–2100 to partition and assess the individual impacts of climate stressors on …
Rural-Urban Differences In Breast Cancer Surgical Delays In Medicare Beneficiaries, Ronnie J. Zipkin, Andrew Schaefer, Changzhen Wang, Andrew P. Loehrer, Nirav S. Kapadia, Gabriel A. Brooks, Tracy Onega, Fahui Wang, Alistair J. O’Malley, Erika L. Moen
Rural-Urban Differences In Breast Cancer Surgical Delays In Medicare Beneficiaries, Ronnie J. Zipkin, Andrew Schaefer, Changzhen Wang, Andrew P. Loehrer, Nirav S. Kapadia, Gabriel A. Brooks, Tracy Onega, Fahui Wang, Alistair J. O’Malley, Erika L. Moen
Faculty Publications
Background: Delays between breast cancer diagnosis and surgery are associated with worsened survival. Delays are more common in urban-residing patients, although factors specific to surgical delays among rural and urban patients are not well understood. Methods: We used a 100% sample of fee-for-service Medicare claims during 2007–2014 to identify 238,491 women diagnosed with early-stage breast cancer undergoing initial surgery and assessed whether they experienced biopsy-to-surgery intervals > 90 days. We employed multilevel regression to identify associations between delays and patient, regional, and surgeon characteristics, both in combined analyses and stratified by rurality of patient residence. Results: Delays were more prevalent among …
Common Correlated Effects Estimation For Dynamic Heterogeneous Panels With Non-Stationary Multi-Factor Error Structures, Shiyun Cao, Qiankun Zhou
Common Correlated Effects Estimation For Dynamic Heterogeneous Panels With Non-Stationary Multi-Factor Error Structures, Shiyun Cao, Qiankun Zhou
Faculty Publications
In this paper, we consider the estimation of a dynamic panel data model with non-stationary multi-factor error structures. We adopted the common correlated effect (CCE) estimation and established the asymptotic properties of the CCE and common correlated effects mean group (CCEMG) estimators, as N and T tend to infinity. The results show that both the CCE and CCEMG estimators are consistent and the CCEMG estimator is asymptotically normally distributed. The theoretical findings were supported for small samples by an extensive simulation study, showing that the CCE estimators are robust to a wide variety of data generation processes. Empirical findings suggest …