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International Conference on Advanced Robotics and Intelligent Systems (ARIS)

作者： John P. Valcourt Franya M. Chandler Chamma Avrelus Jou-Yi Lee Ali Ihsan Gullu Syed H. Shah Dept. of Computer Science and Engineering Yuan Ze University Taoyuan Taiwan International Bachelor Program in ECE Yuan Ze University Taoyuan Taiwan Mechanicai/Industrial Engineering DE Yuan Ze University Taoyuan Taiwan International Bachelor Program in Engineering Yuan Ze University Taoyuan Taiwan Defense Electronics Engineering Gebze Technical University Kocaeli Turkiye

ISBN: (数字)9798350362572

ISBN: (纸本)9798350362589

Expanding on an earlier study that assessed the performance of a Q-learning approach for solving the path planning problem for mobile robots, this research implemented the RL approach in a real-world setting employing the RoboMas-ter EP Core. The robotic system also included object detection and recognition through the robot's sensors and a pre-trained YOLOv9 model. The robot navigated to predefined target points while avoiding stationary obstacles. The Q-learning algorithm was trained using the Google Colaboratory platform. Experi-ments conducted at various speeds identified an optimal speed and high success rates in obstacle avoidance and target region accuracy were achieved. Additionally, the object detection sys-tem demonstrated strong performance in real-time applications. Despite these successes, challenges such as high friction and multitasking inefficiencies were identified. Future research should address these limitations by enhancing control systems and the robot's multitasking capabilities, as well as using a computer with better processing power to improve overall system performance further.

关键词： Q-learning Accuracy Navigation Friction Object detection Robot sensing systems Multitasking

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Edge detection using clustering algorithms

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WSEAS Transactions on computers 2005年第5期4卷 417-423页

作者： Sirin, Tuba Saglam, Mehmet Izzet Erer, Isin Gokmen, Muhittin Informatics Institute Advanced Technologies in Engineering Computer Science and Engineering Istanbul Technical University Istanbul 34469 Turkey Informatics Institute Advanced Technologies in Engineering Satellite Communication and Remote Sensing Program Istanbul Technical University Istanbul 34469 Turkey Faculty of Electrical and Electronic Engineering Electronics and Communication Department Istanbul Technical University Istanbul 34469 Turkey Faculty of Electrical and Electronic Engineering Computer Engineering Department Istanbul Technical University Istanbul 34469 Turkey

Edge detection is an important topic in image processing and a main tool in pattern recognition and image segmentation. Many edge detection techniques are available in the literature. 'A number of recent edge detectors are multiscale and include three main processing steps: smoothing, differentiation and labeling' (Ziau and Tabbone, 1997). This paper, presents a proposed method which is suitable for edge detection in images. This method is based on the use of the clustering algorithms (Self-Organizing Map (SOM), K-Means) and a gray scale edge detector (Canny, Generalized Edge Detector (GED)). It is shown that using the grayscale edge detectors may miss some parts of the edges which can be found using the proposed method.

关键词： Edge detection

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Simulating local fields in carbon nanotube reinforced composites for infinite strip with voids

arXiv

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arXiv 2021年

作者： Nasser, Mohamed M.S. Kalmoun, El Mostafa Mityushev, Vladimir Rylko, Natalia Mathematics Program Department of Mathematics Statistics and Physics College of Arts and Sciences Qatar University Doha Qatar School of Science and Engineering Al Akhawayn University in Ifrane PO Box 104 Ifrane53000 Morocco Faculty of Computer Science and Telecommunications Cracow University of Technology Kraków Poland

We consider the steady heat conduction problem within a thermal isotropic and homogeneous infinite strip composite reinforced by uniformly and randomly distributed non-overlapping carbon nanotubes (CNTs) and containing voids. We treat the CNTs as thin perfectly conducting elliptic inclusions and assume the voids to be of circular shape and act as barriers to heat flow. We also impose isothermal conditions on the external boundaries by assuming the lower infinite wall to be a heater under a given temperature, and the upper wall to be a cooler that can be held at a lower fixed temperature. The equations for the temperature distribution are governed by the two-dimensional Laplace equation with mixed Dirichlet-Neumann boundary conditions. The resulting boundary value problem is solved using the boundary integral equation with the generalized Neumann kernel. We illustrate the performance of the proposed method through several numerical examples including the case of the presence a large number of CNTs and voids. © 2021, CC BY-NC-ND.

关键词： Carbon nanotubes

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Novel action of biphasic electric current in vitro osteogenesis of human bone marrow mesenchymal stromal cells coupled with VEGF production

Novel action of biphasic electric current in vitro osteogene...

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International Conference on Osteoporosis and Bone Research 2008

作者： In Sook Kim Jong Keun Song Tae Hyung Lee Tae Hyung Cho Shin Saeng Lim Sung June Kim Soon Jung Hwang Dental Research Institute Seoul National UniversityBrain Korea 21 2nd Program for Craniomaxillofacial Life ScienceKorea School of Electrical Engineering and Computer Science Seoul National UniversitySeoulKorea Department of Maxillofacial Cell and Developmental Biology Department of Oral and Maxillofacial SurgerySchool of DentistrySeoul National UniversityBrain Korea 21 2nd Program for Craniomaxillofacial Life ScienceSeoulKorea

Objective:Exogenous electrical stimulation has a range of biostimulatory *** work from our laboratory showed the VEGF induction and increased proliferation by biphasic electric current (BEC) in rat calvarial *** this ... 详细信息

关键词： hBMSCs Novel action of biphasic electric current in vitro osteogenesis of human bone marrow mesenchymal stromal cells coupled with VEGF production

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Layer-dependent optically induced spin polarization in InSe

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Physical Review B 2023年第11期107卷 115304-115304页

作者： Jovan Nelson Teodor K. Stanev Dmitry Lebedev Trevor LaMountain J. Tyler Gish Hongfei Zeng Hyeondeok Shin Olle Heinonen Kenji Watanabe Takashi Taniguchi Mark C. Hersam Nathaniel P. Stern Applied Physics Program Northwestern University Evanston Illinois 60208 USA Department of Physics and Astronomy Northwestern University Evanston Illinois 60208 USA Department of Material Science and Engineering Northwestern University Evanston Illinois 60208 USA Computational Science Division Argonne National Laboratory Lemont Illinois 60439 USA Material Science Division Argonne National Laboratory Lemont Illinois 60439 USA Research Center for Functional Materials National Institute for Materials Science 1-1 Namiki Tsukuba 305-0044 Japan International Center for Materials Nanoarchitectonics National Institute for Materials Science 1-1 Namiki Tsukuba 305-0044 Japan Department of Chemistry Northwestern University Evanston Illinois 60208 USA Department of Electrical Engineering and Computer Science Northwestern University Evanston Illinois 60208 USA

Optical control of spin in semiconductors has been pioneered using nanostructures of III-V and II-VI semiconductors, but the emergence of two-dimensional van der Waals materials offers an alternative low-dimensional platform for spintronic phenomena. Indium selenide (InSe), a group-III monochalcogenide van der Waals material, has shown promise for optoelectronics due to its high electron mobility, tunable direct band gap, and quantum transport. In addition to these confirmed properties, there are predictions of spin-dependent optical selection rules, suggesting the potential for all-optical excitation and control of spin in a two-dimensional layered material. Despite these predictions, layer-dependent optical spin phenomena in InSe have yet to be explored. Here, we present measurements of layer-dependent optical spin dynamics in few-layer and bulk InSe. Polarized photoluminescence reveals layer-dependent optical orientation of spin, thereby demonstrating the optical selection rules in few-layer InSe. Spin dynamics are also studied in many-layer InSe using time-resolved Kerr rotation spectroscopy. By applying out-of-plane and in-plane static magnetic fields for polarized emission measurements and Kerr measurements, respectively, the g factor for InSe was extracted. Further investigations are done by calculating precession values using a k·p model, which is supported by ab initio density functional theory. Comparison of predicted precession rates with experimental measurements highlights the importance of excitonic effects in InSe for understanding spin dynamics. Optical orientation of spin is an important prerequisite for optospintronic phenomena and devices, and these first demonstrations of layer-dependent optical excitation of spins in InSe lay the foundation for combining layer-dependent spin properties with advantageous electronic properties found in this material.

关键词： Magneto-optics Spin dynamics Chalcogenides Layered semiconductors Van der Waals systems Density functional theory Kerr effect Photoluminescence k dot p method

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F&A compensating variable bang-bang control algorithm for pneumatic driving glass-wall cleaning robot

F&A compensating variable bang-bang control algorithm for pn...

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2007 IEEE/RSJ International Conference on Intelligent Robots and Systems

作者： W. Wang H. X. Zhang W. P. Yu G. H. Zong J. W. Zhang Robotics Institute School of Mechanical Engineering and Automation Beijing Aeronautics and Astronautics University Beijing China Institute of Technical Aspects of Multimodal Systems Department of Computer Science University of Hamburg Hamburg Germany Cognitive Technology Laboratory Shenzhen Institute of Advanced Technology Shenzhen China

To overcome the overshoot and oscillation in the normal Bang-Bang controller applied in the pneumatic driving glass-wall cleaning robot, this paper presents a F&A compensating variable Bang-Bang control algorithm for the pneumatic position servo. Besides a new cylinder driving plan is designed, the control algorithm is also improved by adding a fiction force compensating item in the chamber force evaluation equation. To adjust the controlling parameters dynamically, certain increasing functions, such as step function, linear function and arc-tangent function, are used to define the piston's expectative acceleration along with the reduction of the piston's position error. To testify the feasibility of the control algorithms with the above three expectative acceleration setting functions respectively, a pneumatic glass-wall cleaning robot "Sky Cleaner 4" is used as a testing platform to implement a series of on-load position servo experiments. And the different results of them are compared.

关键词： Bang-bang control Cleaning Robots Servomechanisms Testing Algorithm design and analysis Force control Equations Acceleration Error correction

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Erbium Emission from Silicon Based Photonic Bandgap Materials

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MRS Online Proceedings Library (OPL) 2011年第1期638卷 F17.2.1-F17.2.1页

作者： Herman A. Lopez J. Eduardo Lugo Selena Chan Sharon M. Weiss Christopher C. Striemer Philippe M. Fauchet Materials Science Program Electrical and Computer Engineering University of Rochester Rochester NY 14627 U.S.A Centro de Investigacion en Energia UNAM A.P. 34 C.P. 62580 Morelos Mexico Center for Future Health Electrical and Computer Engineering University of Rochester Rochester NY 14627 U.S.A Institute of Optics and Electrical and Computer Engineering University of Rochester Rochester NY 14627 U.S.A Department of Electrical and Computer Engineering University of Rochester Rochester NY 14627 U.S.A

Control over the 1.5 µm emission from erbium is desirable for communication and computational technologies because the erbium emission falls in the window of maximum transmission for silica based fiber optics. Tunable, narrow, directional, and enhanced erbium emission from silicon based 1-D photonic bandgap structures will be demonstrated. The structures are prepared by anodic etching of crystalline silicon and consist of two highly reflecting Bragg reflectors sandwiching an active layer. The cavities are doped by electro-migrating the erbium ions into the porous silicon matrix, followed by high temperature oxidation. By controlling the oxidation temperature, porosity, and thickness of the structure, the position of the erbium emission is tuned to emit in regions where the normal erbium emission is very weak. The erbium emission from the cavity is narrowed to a full width at half maximum (FWHM) of 12 nm with a cavity quality factor Q of 130, highly directional with a 20 degree emission cone around the normal axis, and enhanced by more than one order of magnitude when compared to its lateral emission. Erbium photoluminescence (PL) from porous silicon 2-D photonic bandgap structures is also demonstrated.

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Appointments for 2005-2006 term

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IEEE Transactions on Very Large Scale Integration (VLSI) Systems 2005年第7期13卷 773-782页

作者： Ranganathan, Nagarajan Agrawal, Vishwani D. Chakradhar, Srimat T. Chakrabarty, Krishnendu Courtois, Bernard DeMara, Ronald Hu, Xiaobo Sharon Ismail, Yehea I. Jha, Niraj K. John, Lizy Kurian Ker, Ming-Dou Koren, Israel Liu, Bin-Da Marculescu, Diana Marculescu, Radu Narayanan, Vijaykrishnan Nassif, Sani R. Nowick, Steven M. Sapatnekar, Sachin S. Sherlekar, Sunil Sylvester, Dennis Vemuri, Ranga Pham, Michael Department of Computer Science and Engineering University of South Florida Tampa FL 33620 United States Department of Computer Science and Engineering Nanomaterials and Nanomanufacturing Research Center University of South Florida Tampa United States IEEE United States Systems United States Department of Electrical and Computer Engineering Rutgers University New Brunswick NJ United States IETE India ACM NEC Laboratories America Inc. Princeton NJ United States Duke University Durham NC United States ACM SIGDA Sigma Xi United States Laboratory of Techniques of Informatics and Microelectronics for Computer Architectecture ASME IMAPS IEEE Computer Society University of Central Florida Orlando United States Computer Engineering Program SEECS Department of Computer Science and Engineering University of Notre Dame Notre Dame IN United States Northwestern University Evanston IL United States Department of Electrical Engineering Princeton University Princeton NJ United States Association for Computing Machinery Austin United States UT Austin Engineering Foundation United States Department of Electronics Engineering National Chiao-Tung University Taiwan Department of Electrical and Computer Engineering University of Massachusetts Amherst United States Department of Electrical Engineering Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA United States Electrical and Computer Engineering Faculty Carnegie Mellon University Pittsburgh PA United States Computer Science and Engineering Department Pennsylvania State University University Park United States IBM Austin Research Laboratory Austin TX United States Columbia University New York NY United States Department of Electrical and Computer Engineering University of Minnesota Minneapolis United States Tata Consultancy Services Centre of Excellence for Embedded Systems India Department of Electrical Engineering IIT Bombay India Department of Electrical Engineering Uni

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EBITDA Time Series Forecasting Case study: Provincial Waterworks Authority

EBITDA Time Series Forecasting Case study: Provincial Waterw...

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International ECTI Northern Section Conference on Electrical, Electronics, computer and Telecommunications engineering (ECTI-NCON)

作者： Kraisak Khusuwan Kitsana Waiyamai Master of Science Program in Information Technology Computer Engineering Kasetsart University Lak Si 343/347 Plum condo Chaengwattana Chaengwattana Rd. Talat Bang Khen Bangkok Computer Engineering Kasetsart University Chatuchak 50 Ngam Wong Wan Rd. Lad Yao Bangkok

EBITDA is a measure of a company's financial performance. It can determine the direction of business decisions for the organization, can be used to analyze and compare profitability among companies. By its linear and non-linear combination, appropriate forecasting technique must be determined. The aim of this paper is to propose a methodology for forecasting EBITDA. We propose a three-steps methodology which is composed of data preparation, forecasting model comparison and evaluation steps. The results from using 10 years monthly data of the Provincial Waterworks Authority (PWA) reveal that the best model is ARIMA-ANN hybrid model. Thus, this model can be used to forecast the other time series data such as Selling Expenses, Operating Expense, General and Administrative Expenses in the future.

关键词： Data models Forecasting Time series analysis Predictive models Computational modeling Artificial neural networks Buildings

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Outliers Detection in Time Series Data : Case study: Provincial Waterworks Authority

Outliers Detection in Time Series Data : Case study: Provinc...

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International ECTI Northern Section Conference on Electrical, Electronics, computer and Telecommunications engineering (ECTI-NCON)

作者： Isara Khongsrabut Kitsana Waiyamai Master of Science Program in Information Technology Computer Engineering Kasetsart University 343/313 Plum condo Chaengwattana Chaengwattana Rd. Talat Bang Khen Lak Si Bangkok Computer Engineering Kasetsart University 50 Ngam Wong Wan Rd. Lad Yao Chatuchak Bangkok

One main cause of inaccurate forecasts is that data may contain noises and outliers. In the case of the Provincial Waterworks Authority (PWA), the inaccuracy of analyzing and forecasting the number of water users is due to outliers contained in data sources. Some branches of PWA collected errors such as the very high or very low number of water users. This has a direct impact on the quality and reliability of the predictive accuracy output. The removal of the “outliers” is thus critical for accurate interpretation of the data. The purpose of this paper is to detect outliers in water consumption time series data. We examined two techniques: (1) a method based on autoregressive integrated moving average (ARIMA) time series modeling and (2) median absolute deviation (MAD). A clustering technique (K-Mean) is used as a pre-processing step in order to identify appropriate parameters for the two outliers detection techniques. The results showed that, with the precise parameter values obtained from K-Mean, both ARIMA and MAD performed very well on water consumption time series data. The two techniques are able to generate high sensitivity and specificity outputs.

关键词： Time series analysis Anomaly detection Forecasting Digital art Media Telecommunications High frequency

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