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2021

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The Reverse Endowment Model: Increasing A Business Family’S Philanthropic Planned Giving Through Private Placement Life Insurance And Dynasty Trusts, Kristofer R. Gray Jan 2021

The Reverse Endowment Model: Increasing A Business Family’S Philanthropic Planned Giving Through Private Placement Life Insurance And Dynasty Trusts, Kristofer R. Gray

Theses and Dissertations

Private Placement Life Insurance (PPLI) is the crown jewel of insurance planning for the ultra-high net-worth single family office. However, there seems to be an asymmetry of knowledge about the arrangement between UHNW and HNW. Business families and HNW seem uniquely suited for PPLI, and most have never heard of it. A convergent mixed method design was chosen for this study in order to help practitioners, product structurers, asset managers, and policyholders best understand both the qualitative and quantitative phenomena of PPLI. The sequential exploratory strategy deployed involves a first phase of qualitative data collection and analysis, followed by a …

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Distributing Attorney Fees In Multidistrict Litigation, Edward K. Cheng, Paul H. Edelman, Brian T. Fitzpatrick Jan 2021

Distributing Attorney Fees In Multidistrict Litigation, Edward K. Cheng, Paul H. Edelman, Brian T. Fitzpatrick

Vanderbilt Law School Faculty Publications

As consolidated multidistrict litigation has come to dominate the federal civil docket, the problem of how to divide attorney fees among participating firms has become the source of frequent and protracted litigation. For example, in the National Football League (NFL) Concussion Litigation, the judge awarded the plaintiff attorneys over $100 million in fees, but the division of those fees among the twenty-six firms involved sparked two additional years of litigation. We explore solutions to this fee division problem, drawing insights from the economics, game theory, and industrial organization literatures. Ultimately, we propose a novel division method based on peer reports. …

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Antitrust's High-Tech Exceptionalism, Rebecca H. Allensworth Jan 2021

Antitrust's High-Tech Exceptionalism, Rebecca H. Allensworth

Vanderbilt Law School Faculty Publications

American competition policy has four big problems: Amazon, Apple, Facebook, and Google. These companies each reign over a sector of the digital marketplace, controlling both the consumer experience and the possibility of competitive entry. This Essay argues that the conventional account of how antitrust law allowed this consolidation of market power - that it failed to evolve to address the market realities of the technology sector-is incomplete. Not only did courts fail to adapt antitrust law from its smoke-stack roots, but they gave big tech special dispensation under traditional antitrust doctrine. Swayed by prevailing utopic views about digital markets in …

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Personalized Learning: Tools For A Covid World, Karen Clancy, Whitney Powell Jan 2021

Personalized Learning: Tools For A Covid World, Karen Clancy, Whitney Powell

Pedagogicon Conference Proceedings

Advancing technology allows us to personalize everyday life, from shopping and business transactions to information-seeking, healthcare, and education. Contemporary college students often seek personalized learning experiences that yield high-impact outcomes. Such experiences require successful partnerships between faculty and students. Case studies demonstrating how faculty/student partnerships helped students accomplish personalized learning outcomes are presented. The focus on personalized learning is even more pertinent in the midst of the COVID-19 global pandemic. The increased reliance on virtual learning and independent study may encourage and challenge educators to implement personalized learning methods to maximize learning outcomes and elevate student engagement.

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Lessons Learned In Designing Active Learning Modules For The Stem Classroom, Anna M. Christianson Jan 2021

Lessons Learned In Designing Active Learning Modules For The Stem Classroom, Anna M. Christianson

Pedagogicon Conference Proceedings

For students to become real partners in their education, they must shift from a model of passive absorption of knowledge to one of active participation in constructing knowledge. To encourage this shift, I have designed a variety of active learning modules for my introductory chemistry classes, from short participation polls to full-length case studies. When well-implemented, in-class activities can be a valuable experience for students to practice applying their knowledge with instructor guidance. In this report, I will share both successes and challenges encountered in designing student-friendly active learning modules in an introductory science course.

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Teaching Personal Selling Strategies And Tactics With Popular Culture Examples: An Active Learning In-Class Group Activity, Philip J. Boutin Jr. Jan 2021

Teaching Personal Selling Strategies And Tactics With Popular Culture Examples: An Active Learning In-Class Group Activity, Philip J. Boutin Jr.

Pedagogicon Conference Proceedings

An original in-class activity to enhance students’ understanding of personal selling strategies and tactics was developed that was informed by multiple teaching and learning theories and techniques from the extant literature, including: active learning (e.g., Bonwell & Eison, 1991); social learning theory (e.g., Bandura, 1971); cooperative learning (e.g., Li & Lam, 2013); constructivism (e.g., Learning-Theories.com, 2015); social constructivism (e.g., Creswell, 2014; Vygotsky, 1978); and educational entertainment or edutainment (Rapeepisarn et al., 2006). For the activity, student groups select and analyze three scenes in movies or television shows in which characters use personal selling activities in an attempt to close a …

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Writing Across The Curriculum Spring 2021 Faculty Survey, Michael Walker M.S., Cheryl Duffy Ph.D., Claire Nickerson Mlis, Carol Patrick Ph.D., Cristyn Elder Ph.D Jan 2021

Writing Across The Curriculum Spring 2021 Faculty Survey, Michael Walker M.S., Cheryl Duffy Ph.D., Claire Nickerson Mlis, Carol Patrick Ph.D., Cristyn Elder Ph.D

Docking Institute of Public Affairs

In April 2021 the Docking Institute of Public Affairs conducted an online survey of FHSU faculty members for FHSU’s Writing Across the Curriculum Committee. The survey addressed attitudes, perceptions, and practices about writing assignments in undergraduate courses. This report provides univariate analysis of each survey question.

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Case Study Of Gravity-Fed Mountain Spring Tap System In Ha Leronti, Lesotho, Africa, Sarah Peterson Jan 2021

Case Study Of Gravity-Fed Mountain Spring Tap System In Ha Leronti, Lesotho, Africa, Sarah Peterson

Dissertations, Master's Theses and Master's Reports

Water security has been declining rapidly in Lesotho, Africa in recent years. Lack of water has led to food insecurity, livestock deaths, and the spread of disease. Rural Basotho depend on rainfall to sustain their livelihoods; however, precipitation variability has recently increased due to climate change. For those who reside in the highlands of Lesotho, mountain springs can be a clean source of water. The tap system in the village of Ha Leronti relies on gravity to distribute water from two mountain springs to the ten village taps and nearby school campus. However, it is incapable of transporting the basic …

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Toward Open And Reproducible Environmental Modeling By Integrating Online Data Repositories, Computational Environments, And Model Application Programming Interfaces, Young-Don Choi, Jonathan L. Goodall, Jeffrey M. Sadler, Anthony M. Castronova, Andrew Bennett, Zhiyu Li, Bart Nijssen, Shaowen Wang, Martyn P. Clark, Daniel P. Ames, Jeffery S. Horsburgh, Hong Yi, Christina Bandaragoda, Martin Seul, Richard Hooper, David G. Tarboton Jan 2021

Toward Open And Reproducible Environmental Modeling By Integrating Online Data Repositories, Computational Environments, And Model Application Programming Interfaces, Young-Don Choi, Jonathan L. Goodall, Jeffrey M. Sadler, Anthony M. Castronova, Andrew Bennett, Zhiyu Li, Bart Nijssen, Shaowen Wang, Martyn P. Clark, Daniel P. Ames, Jeffery S. Horsburgh, Hong Yi, Christina Bandaragoda, Martin Seul, Richard Hooper, David G. Tarboton

Civil and Environmental Engineering Faculty Publications

Cyberinfrastructure needs to be advanced to enable open and reproducible environmental modeling research. Recent efforts toward this goal have focused on advancing online repositories for data and model sharing, online computational environments along with containerization technology and notebooks for capturing reproducible computational studies, and Application Programming Interfaces (APIs) for simulation models to foster intuitive programmatic control. The objective of this research is to show how these efforts can be integrated to support reproducible environmental modeling. We present first the high-level concept and general approach for integrating these three components. We then present one possible implementation that integrates HydroShare (an online …

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Biom 3710: Physiological Systems And Modeling (Syllabus), Aaryani Sajja Jan 2021

Biom 3710: Physiological Systems And Modeling (Syllabus), Aaryani Sajja

Biomedical Engineering Syllabi Archive

Course Description: Fundamentals of control theory and mathematical modeling and analysis as applied to physiological systems.

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Engr 1010: Engineering Problem Solving (Syllabus), Stephen Strain Jan 2021

Engr 1010: Engineering Problem Solving (Syllabus), Stephen Strain

Biomedical Engineering Syllabi Archive

Course Description: Introduction to the methods of engineering problem solving. Application of mathematical concepts to solve engineering problems.

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The False Dichotomy Of Corporate Governance Platitudes, Jeffrey M. Lipshaw Jan 2021

The False Dichotomy Of Corporate Governance Platitudes, Jeffrey M. Lipshaw

Suffolk University Law School Faculty Works

In 2019, the Business Roundtable amended its principles of corporate governance, deleting references to the primary purpose of the corporation being to serve the shareholders. In doing so, it renewed the “shareholder vs. stakeholder” debate among academic theorists and politicians. The thesis here is that the zero-sum positions of the contending positions are a false dichotomy, failing to capture the complexity of the corporate management game as it is actually played. Sweeping and absolutist statements of the primary purpose of the corporation are based on arid thought experiments and idiosyncratic cases in which corporate leaders have managed to be either …

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An Empirical Examination Of The Computer Security Behaviors Of Telecommuters Working With Confidential Data Through Leveraging The Factors From Fear Appeals Model (Fam), Titus Dohnfon Fofung Jan 2021

An Empirical Examination Of The Computer Security Behaviors Of Telecommuters Working With Confidential Data Through Leveraging The Factors From Fear Appeals Model (Fam), Titus Dohnfon Fofung

CCAC Theses and Dissertations

Computer users’ security compliance behaviors can be better understood by devising an experimental study to examine how fear appeals might impact users’ security behavior. Telecommuter security behavior has become very relevant in information systems (IS) research with the growing number of individuals working from home. The increasing dependence on telecommuting to enhance the viability and convenience has created an urgency with the advent of the COVID-19 pandemic to examine the behavior of users working at home across a corporate network. The home networks are usually not as secure as those in corporate settings. There is seldom a firewall setting and …

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Impact Of Image Segmentation Techniques On Celiac Disease Classification Usingscale Invariant Texture Descriptors For Standard Flexible Endoscopic Systems, Manarbek Saken, Munkhtsetseg Banzragch Yağci, Nejat Yumuşak Jan 2021

Impact Of Image Segmentation Techniques On Celiac Disease Classification Usingscale Invariant Texture Descriptors For Standard Flexible Endoscopic Systems, Manarbek Saken, Munkhtsetseg Banzragch Yağci, Nejat Yumuşak

Turkish Journal of Electrical Engineering and Computer Sciences

Celiac disease (CD) is quite common and is a proximal small bowel disease that develops as a permanentintolerance to gluten and other cereal proteins in cereals. It is considered as one of the most di?icult diseases to diagnose.Histopathological evidence of small bowel biopsies taken during endoscopy remains the gold standard for diagnosis.Therefore, computer-aided detection (CAD) systems in endoscopy are a newly emerging technology to enhance thediagnostic accuracy of the disease and to save time and manpower. For this reason, a hybrid machine learning methodshave been applied for the CAD of celiac disease. Firstly, a context-based optimal multilevel thresholding technique wasemployed …

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Ensemble Learning Of Multiview Cnn Models For Survival Time Prediction Of Braintumor Patients Using Multimodal Mri Scans, Abdela Ahmed Mossa, Ulus Çevi̇k Jan 2021

Ensemble Learning Of Multiview Cnn Models For Survival Time Prediction Of Braintumor Patients Using Multimodal Mri Scans, Abdela Ahmed Mossa, Ulus Çevi̇k

Turkish Journal of Electrical Engineering and Computer Sciences

Brain tumors have been one of the most common life-threatening diseases for all mankind. There have beenhuge efforts dedicated to the development of medical imaging techniques and radiomics to diagnose tumor patients quicklyand e?iciently. One of the main aims is to ensure that preoperative overall survival time (OS) prediction is accurate.Recently, deep learning (DL) algorithms, and particularly convolutional neural networks (CNNs) achieved promisingperformances in almost all computer vision fields. CNNs demand large training datasets and high computational costs.However, curating large annotated medical datasets are difficult and resource-intensive. The performances of singlelearners are also unsatisfactory for small datasets. Thus, this study …

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Automated Classification Of Bi-Rads In Textual Mammography Reports, Mostafa Boroumandzadeh, Elham Parvinnia Jan 2021

Automated Classification Of Bi-Rads In Textual Mammography Reports, Mostafa Boroumandzadeh, Elham Parvinnia

Turkish Journal of Electrical Engineering and Computer Sciences

The main purpose of this paper is to process key information in medical text records and also classifypatients, per different levels of breast imaging-reporting and data system (BI-RADS). The BI-RADS is a scheme for thestandardization of breast imaging reports. Therefore, medical text mining is employed to classify mammography reportssupported BI-RADS. In this research, a new method is proposed for automated BI-RADS classifications extraction fromtextual reports and improves the therapeutic procedures. At first, a mammography lexicon is employed for choosingkeywords from medical text reports. Word2vec and term frequency inverse document frequency (TFIDF) techniques areused for extracting features, finally, they are combined …

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Improvements Of Torque Ripple Reduction In Dtc Im Drive Witharbitrary Number Of Voltage Intensities And Automatic Algorithm Modification, Marko Rosic, Sanja Antic, Milan Bebic Jan 2021

Improvements Of Torque Ripple Reduction In Dtc Im Drive Witharbitrary Number Of Voltage Intensities And Automatic Algorithm Modification, Marko Rosic, Sanja Antic, Milan Bebic

Turkish Journal of Electrical Engineering and Computer Sciences

Techniques of direct torque control (DTC) are very common in high-performance electric motor drives.Retaining the good features of the conventional DTC and reducing torque ripple have been the subject of many years ofresearch work on improving these algorithms. This paper presents the DTC algorithm with discretized voltage vectorsbased on the use of conventional switching table (ST-DTC). This algorithm enables a significant torque ripple reductionby defining the corresponding number of the given voltage intensity while retaining calculation simplicity and fast torqueresponse typical of the ST-DTC algorithms. The proposed algorithm has the ability for its automatic modificationdepending on the defined number of …

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Optimal Planning Dg And Bes Units In Distribution System Consideringuncertainty Of Power Generation And Time-Varying Load, Mansur Khasanov, Salah Kamel, Ayman Awad, Francisco Jurado Jan 2021

Optimal Planning Dg And Bes Units In Distribution System Consideringuncertainty Of Power Generation And Time-Varying Load, Mansur Khasanov, Salah Kamel, Ayman Awad, Francisco Jurado

Turkish Journal of Electrical Engineering and Computer Sciences

Global environmental problems associated with traditional energy generation have led to a rapid increasein the use of renewable energy sources (RES) in power systems. The integration of renewable energy technologiesis commercially available nowadays, and the most common of such RES technology is photovoltaic (PV). This paperproposes an application of hybrid teaching-learning and artificial bee colony (TLABC) technique for determining theoptimal allocation of PV based distributed generation (DG) and battery energy storage (BES) units in the distributionsystem (DS) with the aim of minimizing the total power losses. Besides, some potential nodes identified by the powerloss sensitivity factor (PLSF). Thereupon TLABC is …

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Placement Accuracy Algorithm For Smart Street Lights, Zulkifli Ishak, Wan Siti Halimatul Munirah Wan Ahmad, Nurul Asyikin Mohamed Radzi, Suhaila Sulaiman, Noor Emilia Ramli Jan 2021

Placement Accuracy Algorithm For Smart Street Lights, Zulkifli Ishak, Wan Siti Halimatul Munirah Wan Ahmad, Nurul Asyikin Mohamed Radzi, Suhaila Sulaiman, Noor Emilia Ramli

Turkish Journal of Electrical Engineering and Computer Sciences

The smart street light (SSL) system is an emerging technology in which a street light is equipped withan advanced control system for dimming and turning the light on or off. SSL also improves the maintenance work byproviding an enhanced inventory, which includes Global Positioning System (GPS) coordinates that can be retrieved froma GPS-enabled SSL. However, GPS coordinates may be inaccurate due to human error and GPS inaccuracy. This workproposes new algorithms for identifying human error and GPS inaccuracy in SSL installation by using distance analysisand the solving point-in-polygon method. The algorithms are important for inventory and maintenance purposes. Faultylight poles …

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The Nearest Polyhedral Convex Conic Regions For High-Dimensional Classification, Hakan Çevi̇kalp, Emre Çi̇men, Gürkan Öztürk Jan 2021

The Nearest Polyhedral Convex Conic Regions For High-Dimensional Classification, Hakan Çevi̇kalp, Emre Çi̇men, Gürkan Öztürk

Turkish Journal of Electrical Engineering and Computer Sciences

In the nearest-convex-model type classifiers, each class in the training set is approximated with a convexclass model, and a test sample is assigned to a class based on the shortest distance from the test sample to these classmodels. In this paper, we propose new methods for approximating the distances from test samples to the convex regionsspanned by training samples of classes. To this end, we approximate each class region with a polyhedral convex conicregion by utilizing polyhedral conic functions (PCFs) and its extension, extended PCFs. Then, we derive the necessary formulations for computing the distances from test samples to these …

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A Step-Down Isolated Three-Phase Igbt Boost Pfc Rectifier Using A Novel Controlalgorithm With A Novel Start-Up Method, Hüseyi̇n Köse, Mehmet Ti̇mur Aydemi̇r Jan 2021

A Step-Down Isolated Three-Phase Igbt Boost Pfc Rectifier Using A Novel Controlalgorithm With A Novel Start-Up Method, Hüseyi̇n Köse, Mehmet Ti̇mur Aydemi̇r

Turkish Journal of Electrical Engineering and Computer Sciences

For some industrial converter applications such as battery chargers, a DC/DC converter is needed to stepdown the high DC (direct current) voltages generated by PWM (pulse with modulated) rectifiers to lower voltage levelssuch as 110V/220V. These both complicate the design and decrease the efficiency. In this paper, a novel topology thatincludes a step-down transformer and a novel control algorithm is proposed. The proposed current, which is synchronized,look-up table based, sinusoidal PWM control method (CS-LUT-SPWM method) using switching frequency-orientedsynchronization (SWFOS) results in a very fast PWM generation and stable operation. Finally, a new thyristor-basedstart-up circuit providing safe operation when there is …

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Subjective Analysis Of Social Distance Monitoring Using Yolo V3 Architecture Andcrowd Tracking System, Muhammed Murat Özbek, Mustafa Syed, İlkay Öksüz Jan 2021

Subjective Analysis Of Social Distance Monitoring Using Yolo V3 Architecture Andcrowd Tracking System, Muhammed Murat Özbek, Mustafa Syed, İlkay Öksüz

Turkish Journal of Electrical Engineering and Computer Sciences

The lethal infection, World Health Organization (WHO) reported coronavirus (COVID-19) as a pandemic.Lack of proper vaccine, low levels of immunity against COVID-19 has led to vulnerability of the human beings. Due tolack of efficient vaccine treatment, the only options left to fight against this pandemic are lockdown and social distance.This work offers an autonomous monitoring system on social distancing using deep learning techniques. The proposedarchitecture tracks the humans on roads and calculates their distance between each other. This surveillance detects thefurore violation of social distance utilizing CCTV cameras. The proposed framework uses YOLO v3 object-detectionmodel built on COCO dataset and …

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Design Of The Fractional Order Internal Model Controller Using The Swarmintelligence Techniques For The Coupled Tank System, Sateesh Kumar Vavilala, Vinopraba Thirumavalavan, Radhakrishnan Thota, Sivakumaran Natarajan Jan 2021

Design Of The Fractional Order Internal Model Controller Using The Swarmintelligence Techniques For The Coupled Tank System, Sateesh Kumar Vavilala, Vinopraba Thirumavalavan, Radhakrishnan Thota, Sivakumaran Natarajan

Turkish Journal of Electrical Engineering and Computer Sciences

The coupled tank system (comprising two tanks) is used in the chemical industries, water treatment plantsetc. Level control of the coupled tank system is a common problem in the process control industry. This work proposes afractional order internal model controller (FOIMC) with a higher order fractional filter for the level control of the coupledtank system. A first order plus delay time (FOPDT) model of the system is used in the controller design. FOIMC hasadvantages like robustness to changes in the system gain and extended stability margins. The proposed higher orderfractional filter makes the controller physically realizable and quickly roll off …

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New Fail Operational Powernet Methods And Topologies For Automated Drivingwith Electric Vehicle, Ahmet Kiliç Jan 2021

New Fail Operational Powernet Methods And Topologies For Automated Drivingwith Electric Vehicle, Ahmet Kiliç

Turkish Journal of Electrical Engineering and Computer Sciences

Electric mobility and automation are important drivers for the future of the automotive industry. Thisrequires an extremely high level of safety, reliability, and efficiency of the energy supply in the vehicle compared to the stateof the art. It is not possible to fulfill these requirements with today's energy supply. To meet these requirements, a fault-operational, scalable powernet is needed. In this paper, a new methodology is presented for the development of powernetfor automated driving with electric vehicle. The new method enables the development of new fail operational powernettopologies, early detection of failures in powernet components and the fulfillment of automated …

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A Deep Neural Network Classifier For P300 Bci Speller Based On Cohen's Classtime-Frequency Distribution, Hamed Ghazikhani, Modjtaba Rouhani Jan 2021

A Deep Neural Network Classifier For P300 Bci Speller Based On Cohen's Classtime-Frequency Distribution, Hamed Ghazikhani, Modjtaba Rouhani

Turkish Journal of Electrical Engineering and Computer Sciences

This paper presents a new method of predicting the P300 component of an electroencephalography (EEG)signal to recognize the characters in a P300 brain-computer interface (BCI) speller accurately. This method consistsof a deep learning model and the nonlinear time-frequency features. It is believed that the combination of the deepmodel network and extracting the nonlinear features of the EEG led this research to a better prediction of the P300and, therefore, character recognition. Cohen's class distribution is used in order to extract the nonlinear features of theEEG. Evaluating all of the kernels, Butterworth found to be more informative and it produced better results. …

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Optimal Directional Overcurrent Relay Coordination Based On Computationalintelligence Technique: A Review, Suzana Pil Ramli, Muhammad Usama, Hazlie Mokhlis, Wei Ru Wong, Muhamad Hatta Hussain, Munir Azam Muhammad, Nurulafiqah Nadzirah Mansor Jan 2021

Optimal Directional Overcurrent Relay Coordination Based On Computationalintelligence Technique: A Review, Suzana Pil Ramli, Muhammad Usama, Hazlie Mokhlis, Wei Ru Wong, Muhamad Hatta Hussain, Munir Azam Muhammad, Nurulafiqah Nadzirah Mansor

Turkish Journal of Electrical Engineering and Computer Sciences

An exponential increase in diverse load demand in the last decade has influenced the integration of more power plants into the power system. This increases the fault current due to the bidirectional flow of current, resulting in unwanted tripping of the relays if not properly coordinated. Therefore, it is imperative to ensure the installation of relays in the grid being able to sense the fault current from any direction (i.e. upstream or downstream). This can be accomplished by introducing an optimal directional overcurrent relay (DOCR) coordination scheme into the system. This paper presents an in-depth review of the applications of …

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A Geodesic Deployment And Radial Shaped Clustering (Rsc) Algorithm Withstatistical Aggregation In Sensor Networks, Lalitha Krishnasamy, Thangarajan Ramasamy, Rajesh Kumar Dhanaraj, Poongodi Chinnasamy Jan 2021

A Geodesic Deployment And Radial Shaped Clustering (Rsc) Algorithm Withstatistical Aggregation In Sensor Networks, Lalitha Krishnasamy, Thangarajan Ramasamy, Rajesh Kumar Dhanaraj, Poongodi Chinnasamy

Turkish Journal of Electrical Engineering and Computer Sciences

Wireless sensor networks (WSN) comprise a large number of connected tiny or small sensor devices to sense physical phenomenon. In WSN, prolonging the network's lifetime is a biggest challenge due to absence of power harvesting facility and irreplaceable batteries of the sensor devices. Clustering is one of the widely accepted and standard technique to solve the energy issues faced in WSN. In addition to clustering, the shape of the deployment area also plays the major role especially for large scale sensor deployment. This paper proposes a radial shaped clustering (RSC) algorithm with angular inclination routing. The radial shaped deployed area …

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A Cross-Space Cascading Failure Hazard Assessment Method Consideringbetweenness Centrality And Power Loss, Ruzhi Xu, Dawei Chen, Qizhuo Zong, Jia Luo Jan 2021

A Cross-Space Cascading Failure Hazard Assessment Method Consideringbetweenness Centrality And Power Loss, Ruzhi Xu, Dawei Chen, Qizhuo Zong, Jia Luo

Turkish Journal of Electrical Engineering and Computer Sciences

In order to accurately assess the hazard caused by cross-space cascading failure in the cyber-physical power system, we propose a quantitative assessment method. This method builds a comprehensive framework of assessment that takes into account the betweenness centrality of attack graph and the consequences of failure. The betweenness centrality of each node in the attack graph is used to characterize the frequency of failure. By calculating the number of all nodes on each attack path, the frequency of a certain fault is calculated. The power loss of physical node caused by each cross-space cascading failure is used to characterize the …

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Model-Based Control For Second-Order Piezo Actuator System With Hysteresis Intime-Delay Environment, Saikat Kumar Shome, Sandip Jana, Arpita Mukherjee, Partha Bhattacharjee Jan 2021

Model-Based Control For Second-Order Piezo Actuator System With Hysteresis Intime-Delay Environment, Saikat Kumar Shome, Sandip Jana, Arpita Mukherjee, Partha Bhattacharjee

Turkish Journal of Electrical Engineering and Computer Sciences

Piezo actuated systems are promising solutions for precision positioning applications. In this paper, a piezoelectric actuator is modeled as a second-order system using the Dahl hysteresis model and the system parameters have been identified from experimental data. The modified internal model control (M-IMC) approach is presented, which not only improves control performance but also reduces associated controller hardware resources. System dead time is approximated using first-order Padé expansion and the proposed Smith predictor-based M-IMC for piezoelectric actuators is seen to offer satisfactory stable control response even for plants with large dead time. The control performance of the M-IMC has been …

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Obround Trees: Sparsity Enhanced Feedback Motion Planning Of Differential Driverobotic Systems, Mustafa Mert Ankarali Jan 2021

Obround Trees: Sparsity Enhanced Feedback Motion Planning Of Differential Driverobotic Systems, Mustafa Mert Ankarali

Turkish Journal of Electrical Engineering and Computer Sciences

Robot motion planning & control is one of the most critical and prevalent problems in the robotics community. Even though original motion planning algorithms had relied on "open-loop" strategies and policies, researchers and engineers have been focusing on feedback motion planning and control algorithms due to the uncertainties, such as process and sensor noise of autonomous robotic applications. Recently, several studies proposed some robust feedback motion planning strategies based on sparsely connected safe zones. In this class of planning and control policies, local control policy inside a single zone computes and feeds the control actions that can drive the robot …

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