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Iranian Conference on Biomedical engineering

作者： Amoon Jamzad Faranak Akbarifar Seyed Kamaledin Setarehdan Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering College of Engineering University of Tehran

ISBN: (纸本)9781467393522

Ultrasonography, as a noninvasive and inexpensive routine, can be the modality of choice in roughness characterization of internal body stones for managing treatment methods. In this study, we have investigated the possibility of differentiating roughness levels utilizing backscattered RF data which presumably contain more information than the B-mode images. For this purpose, we modified a conventional medical ultrasound device and recorded RF data from a roughness phantom consisting of 4 standard sandpaper strips. We proposed that the difference of two echoes from adjacent scan lines contains information about the roughness of the imaging surface. Hence, we calculated the Euclidean distance of temporal and spectral features extracted from two adjacent echoes. Then, 3 classifiers of Bayesian, linear, and 1-Nearest Neighbor (NN) were employed for roughness differentiation. The results show that spectral features and 1-NN classifier had the best performance among others. The highest average performance of 99.17%, obtained using all features along with the 1-NN classifier, proves the feasibility of roughness discrimination by acquiring and comparing adjacent echoes.

关键词： Ultrasound echo analysis RF data acquisition Adjacent echoes Roughness characterization Feature extraction Biomedical signal processing

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Enhancing quantum control by bootstrapping a quantum processor of 12 qubits

arXiv

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arXiv 2017年

作者： Lu, Dawei Li, Keren Li, Jun Katiyar, Hemant Park, Annie Jihyun Feng, Guanru Xin, Tao Li, Hang Long, Guilu Brodutch, Aharon Baugh, Jonathan Zeng, Bei Laflamme, Raymond Department of Physics Southern University of Science and Technology Shenzhen518055 China Institute for Quantum Computing Department of Physics and Astronomy University of Waterloo WaterlooONN2L 3G1 Canada State Key Laboratory of Low-Dimensional Quantum Physics Department of Physics Tsinghua University Beijing100084 China Beijing Computational Science Research Center Beijing100193 China Max-Planck-Institutfür Quantenoptik GarchingD-85748 Germany Center for Quantum Information and Quantum Control Department of Physics Department of Electrical and Computer Engineering University of Toronto TorontoONM5S 3H6 Canada Department of Mathematics and Statistics University of Guelph GuelphONN1G 2W1 Canada Perimeter Institute for Theoretical Physics Waterloo ONN2L 2Y5 Canada

Accurate and efficient control of quantum systems is one of the central challenges for quantum information processing. Current state-of-the-art experiments rarely go beyond 10 qubits and in most cases demonstrate only limited control. Here we demonstrate control of a 12-qubit system, and show that the system can be employed as a quantum processor to optimize its own control sequence by using measurement-based feedback control (MQFC). The final product is a control sequence for a complex 12-qubit task: preparation of a 12-coherent state. The control sequence is about 10% more accurate than the one generated by the standard (classical) technique, showing that MQFC can correct for unknown imperfections. Apart from demonstrating a high level of control over a relatively large system, our results show that even at the 12-qubit level, a quantum processor can be a useful lab instrument. As an extension of our work, we propose a method for combining the MQFC technique with a twirling protocol, to optimize the control sequence that produces a desired Clifford gate. Copyright © 2017, The Authors. All rights reserved.

关键词： Quantum optics

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The status of KAGRA underground cryogenic gravitational wave telescope

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Journal of Physics: Conference Series 2019年第1期1342卷

作者： T. Akutsu M. Ando A. Araya N. Aritomi H. Asada Y. Aso S. Atsuta K. Awai M. A. Barton K. Cannon K. Craig W. Creus K. Doi K. Eda Y. Enomoto R. Flaminio Y. Fujii M.-K. Fujimoto T. Furuhata S. Haino K. Hasegawa K. Hashino K. Hayama S. Hirobayashi E. Hirose A. H. Hsieh Y. Inoue K. Ioka Y. Itoh T. Kaji T. Kajita M. Kakizaki M. Kamiizumi S. Kambara N. Kanda S. Kanemura M. Kaneyama G. Kang J. Kasuya Y. Kataoka N. Kawai S. Kawamura C. Kim H. Kim J. Kim Y. Kim N. Kimura T. Kinugawa S. Kirii Y. Kitaoka Y. Kojima K. Kokeyama K. Komori K. Kotake R. Kumar H. Lee Y. Liu N. Luca E. Majorana S. Mano M. Marchio T. Matsui F. Matsushima Y. Michimura O. Miyakawa T. Miyamoto A. Miyamoto K. Miyo S. Miyoki W. Morii S. Morisaki Y. Moriwaki T. Morozumi M. Musha S. Nagano K. Nagano K. Nakamura T. Nakamura H. Nakano M. Nakano K. Nakao T. Narikawa L.Nguyen Quynh W.-T. Ni T. Ochi J. Oh S. Oh M. Ohashi N. Ohishi M. Ohkawa K. Okutomi K. Oohara F. E.Peña Alleano I. Pinto N. Sago M. Saijo Y. Saito K. Sakai Y. Sakai Y. Sasaki M. Sasaki S. Sato T. Sato Y. Sekiguchi N. Seto M. Shibata T. Shimoda H. Shinkai A. Shoda K. Somiya E. Son A. Suemasa T. Suzuki H. Tagoshi H. Takahashi R. Takahashi A. Takamori H. Takeda H. Tanaka K. Tanaka T. Tanaka D. Tatsumi T. Tomaru T. Tomura F. Travasso K. Tsubono S. Tsuchida N. Uchikata T. Uchiyama T. Uehara S. Ueki K. Ueno T. Ushiba M. H. P. M. van Putten H. Vocca S. Wada T. Wakamatsu T. Yamada S. Yamamoto T. Yamamoto K. Yamamoto A. Yamamoto J. Yokoyama T. Yokozawa T. H. Yoon H. Yuzurihara S. Zeidler Z.-H. Zhu KAGRA Collaboration National Astronomical Observatory of Japan Mitaka Tokyo 181-8588 Japan Department of Physics University of Tokyo Bunkyo Tokyo 113-0033 Japan Earthquake Research Institute University of Tokyo Bunkyo Tokyo 113-0032 Japan Department of Advanced Physics Hirosaki University Hirosaki Aomori 036-8561 Japan National Astronomical Observatory of Japan Hida Gifu 506-1205 Japan Department of Physics Tokyo Institute of Technology Meguro Tokyo 152-8551 Japan Institute for Cosmic Ray Research University of Tokyo Hida Gifu 506-1205 Japan Research Center for the Early Universe University of Tokyo Bunkyo Tokyo 113-0033 Japan Institute for Cosmic Ray Research University of Tokyo Kashiwa Chiba 277-8582 Japan Institute of Physics Academia Sinica Nankang Taipei 11529 Taiwan Department of Physics University of Toyama Toyama Toyama 930-8555 Japan Faculty of Engineering University of Toyama Toyama Toyama 930-8555 Japan Yukawa Institute for Theoretical Physics Kyoto University Sakyo Kyoto 606-8502 Japan Department of Physics Osaka City University Sumiyosi Osaka 558-8585 Japan Department of Physics Osaka University Toyonaka Osaka 560-0043 Japan Korea Institute of Science and Technology Information Yuseong Daejeon 34141 Korea Korea Astronomy and Space Science Institute (KASI) Yuseong Daejeon 34055 Korea National Institute for Mathematical Sciences Daejeon 34047 Korea Department of Computer Simulation Inje University Gimhae Gyeongsangnam 50834 Korea Department of Physics and Astronomy Seoul National University Seoul 151-742 Korea High Energy Accelerator Research Organization Tsukuba Ibaraki 305-0801 Japan Department of Physical Science Hiroshima University Higashihiroshima Hiroshima 903-0213 Japan Department of Applied Physics Fukuoka University Jonan Fukuoka 814-0180 Japan Department of Advanced Materials Science University of Tokyo Kashiwa Chiba 277-8582 Japan Istituto Nazionale di Fisica Nucleare Sapienza University Roma 00185 Italy Department of Ma

KAGRA is a 3-km interferometric gravitational wave telescope located in the Kamioka mine in Japan. It is the first km-class gravitational wave telescope constructed underground to reduce seismic noise, and the first km-class telescope to use cryogenic cooling of test masses to reduce thermal noise. The construction of the infrastructure to house the interferometer in the tunnel, and the initial phase operation of the interferometer with a simple 3-km Michelson configuration have been completed. The first cryogenic operation is expected in 2018, and the observing runs with a full interferometer are expected in 2020s. The basic interferometer configuration and the current status of KAGRA are described.

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The 5th International Conference on Biomedical engineering and Biotechnology (ICBEB 2016) Abstracts

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BMC MEDICAL IMAGING 2016年第SUPPL 1期16卷 65-65页

作者： [Anonymous] Department of MRI Shandong Medical Imaging Research Institute Affiliated to Shandong University Jinan Shandong 250021 People’s Republic of China Department of Interventional Radiology Shandong Provincial Hospital Affiliated to Shandong University Jinan Shandong 250021 People’s Republic of China College of Information Science and Technology Engr. Research Center of Digitized Textile & Fashion Tech. for Ministry of Education Donghua University Shanghai 201620 China Intelligent multimedia information processing Lab College of Software Northeastern University Shenyang Liaoning Province 110004 China Institute of Biomedical and Health Engineering Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen 518055 China School of Computer Science and Technology Nanjing Normal University Nanjing China Department of Electrical Engineering The City College of New York CUNY New York USA Jiangsu Key Laboratory of 3D Printing Equipment and Manufacturing Nanjing China School of Electronic Science and Engineering Nanjing University Nanjing Jiangsu 210046 China College of Engineering Nanyang Technological University Singapore 639798 Singapore School of Electronic Information Shanghai Dianji University Shanghai China School of Natural Sciences and Mathematics Shepherd University Shepherdstown WV 25443 USA Davis College of Agriculture Natural Resources and Design West Virginia University Morgantown WV 26505 USA State Key Laboratory of Millimeter Waves Southeast University Nanjing 210096 China Center of Medical Physics and Technology Hefei Institutes of Physical Science Chinese Academy of Sciences Hefei China College of Agricultural and Life Sciences University of Florida Gainesville FL 32611 USA Courant Institute of Mathematical Sciences New York University New York NY 10012 USA Translational Imaging Division & MRI Unit Columbia University and New York State Psychiatric Institute New York NY 10032 USA Guangxi Key Laboratory of Manufacturing System & Adv

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Mobile laser scanning based 3D technology for mineral environment modeling and positioning

Mobile laser scanning based 3D technology for mineral enviro...

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Ubiquitous Positioning Indoor Navigation and Location Based Service (UPINLBS)

作者： Yuwei Chen Jian Tang Juha Hyyppä Zhijie Wen Chuanrong Li Ting Zhu Center of Excellence of Laser Scanning Research Geospatial Research Institute (FGI) Kirkkonummi Finland Academy of Opto-electronics Chinese Academy of Science Beijing China State Key Laboratory of Mining Disaster Prevention and Control Shandong University of Science and Technology Shandong China Department of Computer Science and Electrical Engineering University of Maryland Baltimore County Maryland United States

The laser scanning based mobile mapping technology has been extensively investigated in academia in last two decades. It has been fully accepted by some traditional industries, such as surveying and forestry. However, for other traditional industries, the potential applications with such a high efficient, high speed 3D modeling technology are still underestimated. In this paper, we try to investigate the possibility of using such technology in coal mining - a typical soft rock mineral environment related application. 2D mapping accuracy in coal mine is preliminary evaluated, and the accuracy is approximately 5 cm under practical operation condition, and 3D modeling capability is also examined with generated point cloud, bars with width less than 5 cm can be modeled. Even though the tests are carried out in a soft rock coal mine, the results of this research can also be applied on other hard rock mineral environment without major modification.

关键词： Coal mining Three-dimensional displays Laser modes Mobile communication Coal Laser radar Solid modeling

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controller synthesis for autonomous systems interacting with human operators 15

Controller synthesis for autonomous systems interacting with...

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6th ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS 2015

作者： Feng, Lu Wiltsche, Clemens Humphrey, Laura Topcu, Ufuk Dept. of Computer and Information Science University of Pennsylvania United States Dept. of Computer Science University of Oxford United Kingdom Control Science Center of Excellence AFRL United Kingdom Dept. of Electrical and Systems Engineering University of Pennsylvania United States

ISBN: (纸本)9781450334556

We propose an approach to synthesize control protocols for autonomous systems that account for uncertainties and imperfections in interactions with human operators. As an illustrative example, we consider a scenario involving road network surveillance by an unmanned aerial vehicle (UAV) that is controlled remotely by a human operator but also has a certain degree of autonomy. Depending on the type (i.e., probabilistic and/or nondeterministic) of knowledge about the uncertainties and imperfections in the operator- Autonomy interactions, we use abstractions based on Markov- decision processes and augment these models to stochastic two-player games. Our approach enables the synthesis of operator-dependent optimal mission plans for the UAV, highlighting the effects of operator characteristics (e.g., workload. proficiency, and fatigue) 011 UAV mission performance;it can also provide informative feedback (e.g., Pareto curves showing the trade-offs between multiple mission objectives), potentially assisting the operator in decision-making.

关键词： Markov processes

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Generating an Efficient Hub Graph for Self-Reconfiguration Planning in Modular Robots

Generating an Efficient Hub Graph for Self-Reconfiguration P...

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RSI/ISM International Conference on Robotics and Mechatronics

作者： Parisa Parhami Hadi Moradi Masoud Asadpour Khalil Taheri Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iran

ISBN: (纸本)9781467372350

The self-reconfiguration planning has been considered as a major problem in the field of modular robots. In this paper, we propose a human-inspired map-based rout planning approach that speeds up the reconfiguration planning. In this method, the analogous to a map is a reconfiguration hub-graph which contains the major nodes of the reconfiguration graph. We propose an RRT-based approach to select these hubs such that they efficiently cover the full configuration graph. In a search for a path between two nodes of the graph, a pre-calculated optimal routing from a hub to another hub may be used. This method has been simulated for two different modular robots and the results show that, the time spent to find a solution is independent of the solution length. Experiments show 5 to 8 fold speed up in search time, while founded solutions are near-optimal. Also it has been shown that the configuration graph is scale free therefore the idea of using hubs is extendable to larger number of modules.

关键词： reconfiguration planning modular robots human-inspired hub-graph

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Optimal Placement of the Distribution Substations to Improve Reliability Under Load Growth

Optimal Placement of the Distribution Substations to Improve...

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IEEE Power and Energy Society General Meeting

作者： M. R. Haghifam M. Esmaeeli A. Kazemi H. Shayanfar Faculty of Electrical and Computer Engineering Tarbiat Modares University Center of Excellence for Power Systems Control and Operation Department of Electrical Engineering Iran University of Science and Technology

ISBN: (纸本)9781467380416

In this paper, an approach is proposed for planning distribution networks in which the placement of distribution transformer is optimally planned. The size, number, and placement of distribution transformers are optimally determined in order to improve system reliability and to minimize the losses under load growth. An objective function is constituted, composed of the investment cost, maintenance cost, loss cost, and reliability cost. The reliability worth is not usually considered in the optimization of the distribution substation placement. However, it may be effective on the planning problem. The proposed approach is applied to a test system consisting of 42 electric load points. It is observed that the considering reliability in the planning approach reduces the total cost of the distribution transformer placement. However, the associated investment cost is increased but the reliability cost is more decreased.

关键词： Distribution Planning Load Growth Mixed Integer Nonlinear Programming (MINLP) Reliability Transformer

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Overlapped Cells Separation Algorithm Based on Morphological System Using Distance Minimums in Microscopic Images

Overlapped Cells Separation Algorithm Based on Morphological...

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Iranian Conference on Biomedical engineering

作者： Vahid Khodadadi Emad Fatemizadeh S. Kamaledin Setarehdan Department of biomedical Engineering Science and Research Branch Islamic Azad University Electrical engineering department Sharif University of Technology Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering Faculty of Engineering University of Tehran

ISBN: (纸本)9781467393522

It is important to distinguish overlapped cell for tracking and segmentation biological cells from images. In this research, a novel or comprehensive method is provided with morphological features of cell and minimum distance for overlapped cells separation (OCS). it's necessary to say that this algorithm is not based on type and number of Overlapped cells. In this presented method based on a distance chart. At first, every cell or rectangle of cell is separated of the original image. Also, multiplex cell is distinguished by using minimum perimeter polygon (MPP) method. Distance chart is achieved on the base of morphological procedure and Computing of cell boundary distance to Cell middle axis in different epochs. By achieving the absolute minimum distance chart, candidate cutting points is detected and separated. Experimental results show the offered method is very effective and the work shows great assistance for the cell Cytoplasm segmentation. At the end, recognition accuracy and 97.4% separation for cells is achieved by this method.

关键词： Overlapped cells Extremum Perpendicular lines Skeleton Concavity areas

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Optimized Kalman Filter Based on Second Momentum and Triple Rectangular for Cell Tracking on Sequential Microscopic Images

Optimized Kalman Filter Based on Second Momentum and Triple ...

引用

Iranian Conference on Biomedical engineering

ISBN: (纸本)9781467393522

Cell dynamics and motion stages are very important issues in the biological cell investigation. in this novel method, we propose a novel method based on Kalman filter and second momentum for tracking cells on Sequential Microscopic Images. In proposed manner at first, we select a cell and cut covering rectangle. in the next step, we predict rectangle center of the cell in Next frame based on a modeling of velocity-acceleration using Kalman filter. The rectangle with triple covering area of previous cell rectangle and predicting center by Kalman filter is considered as a searching area. So, if all objects in the search areas have second momentum error less than threshold, it is selected as a chosen cell and we continue this process till all cells are track. OKF (optimized Kalman filter) algorithm uses second momentum for detecting cells because;value of second momentum doesn't change with rotating cells or changing size. OKF method removes cell after tracking in every frame. So, tracking has an acceptable and excellent precision for tracking in another cell. Also, the algorithm finds cells between frames by changing the reference frame and removing were tracked cells. Performance results of OKF show the proposed method is very admissible, effective method and the work shows great assistance for the cell Cytoplasm tracking. Finally, cells tracking with 98.17% accuracy were achieved by using OKF algorithm.

关键词： Kalman filter Second Momentum Cell Tracking Triple Rectangular OKF Method

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