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arXiv 2019年

作者： Bilic, Patrick Christ, Patrick Li, Hongwei Bran Vorontsov, Eugene Ben-Cohen, Avi Kaissis, Georgios Szeskin, Adi Jacobs, Colin Mamani, Gabriel Efrain Humpire Chartrand, Gabriel Lohöfer, Fabian Holch, Julian Walter Sommer, Wieland Hofmann, Felix Hostettler, Alexandre Lev-Cohain, Naama Drozdzal, Michal Amitai, Michal Marianne Vivanti, Refael Sosna, Jacob Ezhov, Ivan Sekuboyina, Anjany Navarro, Fernando Kofler, Florian Paetzold, Johannes C. Shit, Suprosanna Hu, Xiaobin Lipková, Jana Rempfler, Markus Piraud, Marie Kirschke, Jan Wiestler, Benedikt Zhang, Zhiheng Hülsemeyer, Christian Beetz, Marcel Ettlinger, Florian Antonelli, Michela Bae, Woong Bellver, Míriam Bi, Lei Chen, Hao Chlebus, Grzegorz Dam, Erik B. Dou, Qi Fu, Chi-Wing Georgescu, Bogdan Giró-I-Nieto, Xavier Gruen, Felix Han, Xu Heng, Pheng-Ann Hesser, Jürgen Moltz, Jan Hendrik Igel, Christian Isensee, Fabian Jäger, Paul Jia, Fucang Kaluva, Krishna Chaitanya Khened, Mahendra Kim, Ildoo Kim, Jae-Hun Kim, Sungwoong Kohl, Simon Konopczynski, Tomasz Kori, Avinash Krishnamurthi, Ganapathy Li, Fan Li, Hongchao Li, Junbo Li, Xiaomeng Lowengrub, John Ma, Jun Maier-Hein, Klaus Maninis, Kevis-Kokitsi Meine, Hans Merhof, Dorit Pai, Akshay Perslev, Mathias Petersen, Jens Pont-Tuset, Jordi Qi, Jin Qi, Xiaojuan Rippel, Oliver Roth, Karsten Sarasua, Ignacio Schenk, Andrea Shen, Zengming Torres, Jordi Wachinger, Christian Wang, Chunliang Weninger, Leon Wu, Jianrong Xu, Daguang Yang, Xiaoping Yu, Simon Chun-Ho Yuan, Yading Yue, Miao Zhang, Liping Cardoso, Jorge Bakas, Spyridon Braren, Rickmer Heinemann, Volker Pal, Christopher Tang, An Kadoury, Samuel Soler, Luc van Ginneken, Bram Greenspan, Hayit Joskowicz, Leo Menze, Bjoern Department of Informatics Technical University of Munich Germany Department of Quantitative Biomedicine University of Zurich Switzerland Ecole Polytechnique de Montréal Canada Department of Medical Imaging Radboud University Medical Center Nijmegen Netherlands Department of Biomedical Engineering Tel-Aviv University Israel Germany Pattern Analysis and Learning Group Department of Radiation Oncology Heidelberg University Hospital Heidelberg Germany Philips Research China Philips China Innovation Campus Shanghai China School of Biomedical Engineering & Imaging Sciences King0s College London London United Kingdom Institute for AI in Medicine Technical University of Munich Germany Department of Computer Science Guangdong University of Foreign Studies China Institute for diagnostic and interventional radiology Klinikum rechts der Isar Technical University of Munich Germany Institute for Diagnostic and Interventional Neuroradiology Klinikum Rechts der Isar Technical University of Munich Germany Department of Hepatobiliary Surgery The Affiliated Drum Tower Hospital Nanjing University Medical School China Department of Computing Imperial College London London United Kingdom Institute for Tissue Engineering and Regenerative Medicine Helmholtz Zentrum München Neuherberg Germany Brigham and Women's Hospital Harvard Medical School United States School of Computer Science and Engineering The Hebrew University of Jerusalem Israel University of Pennsylvania PA United States Pte. Ltd. Singapore Medical Imaging and Reconstruction Lab Department of Engineering Design Indian Institute of Technology Madras India Sensetime Shanghai China Department of Radiology Perelman School of Medicine University of Pennsylvania United States Department of Pathology and Laboratory Medicine Perelman School of Medicine University of Pennsylvania PA United States Co. Ltd China MontréalQC Canada Department of Radiology Radiation Oncology and Nuclear Medicine University of Montréal

In this work, we report the set-up and results of the Liver Tumor Segmentation Benchmark (LiTS), which was organized in conjunction with the IEEE International Symposium on Biomedical Imaging (ISBI) 2017 and the International Conferences on Medical Image Computing and computer-Assisted Intervention (MICCAI) 2017 and 2018. The image dataset is diverse and contains primary and secondary tumors with varied sizes and appearances with various lesion-to-background levels (hyper-/hypo-dense), created in collaboration with seven hospitals and research institutions. Seventy-five submitted liver and liver tumor segmentation algorithms were trained on a set of 131 computed tomography (CT) volumes and were tested on 70 unseen test images acquired from different patients. We found that not a single algorithm performed best for both liver and liver tumors in the three events. The best liver segmentation algorithm achieved a Dice score of 0.963, whereas, for tumor segmentation, the best algorithms achieved Dices scores of 0.674 (ISBI 2017), 0.702 (MICCAI 2017), and 0.739 (MICCAI 2018). Retrospectively, we performed additional analysis on liver tumor detection and revealed that not all top-performing segmentation algorithms worked well for tumor detection. The best liver tumor detection method achieved a lesion-wise recall of 0.458 (ISBI 2017), 0.515 (MICCAI 2017), and 0.554 (MICCAI 2018), indicating the need for further research. LiTS remains an active benchmark and resource for research, e.g., contributing the liver-related segmentation tasks in http://***/. In addition, both data and online evaluation are accessible via ***. © 2019, CC BY-NC-ND.

关键词： Deep learning

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Fuzzy logic controller design for intelligent air-conditioning system 2

Fuzzy logic controller design for intelligent air-conditioni...

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2nd International Conference on Control Science and systems engineering, ICCSSE 2016

作者： Ahamed, Nizam Uddin Taha, Zahari Bin Bin, Ismail Khairuddin, Mohd Rabbi, M.F. Rahaman, S.A.M. Matiur Sundaraj, Kenneth Mechatronic and System Design Lab Faculty of Manufacturing Engineering Universiti Malaysia Pahang Pekan Malaysia Faculty of Electrical and Electronics Engineering Universiti Malaysia Pahang Pekan Malaysia College of Computer Science and Information System Najran University Saudi Arabia AI-Rehab Research Group Universiti Teknikal Malaysia Melaka Melaka Malaysia

ISBN: (纸本)9781467398725

In efficient air cooling systems may cause of wasting energy in a great amount specially in the urban area. Being the most popular cooling system, air-conditioners have been used in domestic usage as well as in industrial applications. However, the unintelligent nature of such cooling system gives rise to excess energy consumption which causes a huge problem in the current energy hungry world. In this paper, we present design of a fuzzy logic controller for the intelligent airconditioning system. The performance of the controller is also simulated. The proposed controller has the adaptive nature to control fan and compressor speed which leads to reducing power consumption. Also, the system controls the operation mode to retain the healthy oxygen level and humid condition of the indoor environment. © 2016 IEEE.

关键词： Intelligent systems

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Comparative study of acid-treated and alkali-treated carbonised Kapok–fibres for oil/water absorption system

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Journal of Physics: Conference Series 2019年第1期1349卷

作者： M Abdullah N A F N Mohd Azlin Shah M A A Mohamed Saadun K A Kadiran S N 'A Zaiton H A Azman Z S Othman M S Osman Faculty of Chemical Engineering Universiti Teknologi MARA Johor Branch Pasir Gudang Campus Bandar Seri Alam 81750 Masai Johor Faculty of Electrical Engineering Universiti Teknologi MARA Johor Branch Pasir Gudang Campus Bandar Seri Alam 81750 Masai Johor Faculty of Applied Sciences Universiti Teknologi MARA Johor Branch Pasir Gudang Campus Bandar Seri Alam 81750 Masai Johor Faculty of Computer and Mathematical Sciences Universiti Teknologi MARA Johor Branch Pasir Gudang Campus Bandar Seri Alam 81750 Masai Johor Faculty of Chemical Engineering Universiti Teknologi MARA Cawangan Pulau Pinang 13500 Penang Malaysia Molecular System Design Process & Optimization Research Group (MODEPRO) Universiti Teknologi MARA Cawangan Pulau Pinang 13500 Penang Malaysia

Kapok predominantly utilized as an adsorbent in removing wastewater such as dye, oil and heavy metals. However, a comparative study between acid-treated and alkali-treated carbonized Kapok fibers has not been carried out in detail. In this study, as-made Kapok fibers were carbonized and subsequently undergo acid (HCL) and alkali (NaOH) treatment. The resultant treated Kapok fibers were characterized using Fourier transform infrared (FTIR) spectroscopy, Elemental Analyzer (EA) and Thermogravimetric Analysis (TGA). As-made carbonized Kapok fibers were tested with oil/water absorption model system. A reduction of band intensity at 1740 cm−1 and 1245 cm−1 occurred for NaOH treated sample compared with HCL. The composition of carbon in Kapok fiber increased after carbonization treatment using NaOH (62.42%) and HCL (66.15%) compared with untreated (0.17%). For oil/water absorption system, the result indicated that HCL-treated Kapok fibre was the highest absorption on 28.10 gg−1 diesel, 27.28 gg−1 petrol and 39.84 gg−1 for used vegetable oil respectively in comparison with NaoH-treated and as-made carbonized Kapor fibers. In conclusion, modification of the surface of carbonized Kapok fibers could significantly alter its textural properties which could enhance its oil absorptive behavior.

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Inexact power sharing in AC/DC hybrid microgrids

Inexact power sharing in AC/DC hybrid microgrids

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2016 IEEE Canadian Conference on Electrical and computer engineering, CCECE 2016

作者： Eajal, A.A. El-Saadany, E.F. Ponnambalam, K. Department of Electrical and Computer Engineering University of Waterloo WaterlooONN2L 3G1 Canada United Arab Emirates Department of System Engineering Design University of Waterloo WaterlooONN2L 3G1 Canada

ISBN: (纸本)9781467387217

The AC/DC hybrid topology for the future smart grid is a promising configuration that allows integrating the energy resources and modern loads of AC and DC type. Understanding the AC/DC hybrid microgrids (HMGs) operating in islanding mode and its operational philosophy will pave the road towards the future smart grid with a plug-and-play feature. This paper analyzes an operational aspect related to isolated AC/DC hybrid microgrids and that is the problem of inaccurate power sharing. The simulation results reveal that the unequal reactive power sharing in AC microgrids and the inexact active power sharing in DC microgrids will migrate to AC/DC hybrid microgrids. The research outcomes also show that the interlinking converters encounter the same problem of inexact power sharing. © 2016 IEEE.

关键词： Smart power grids

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A metric and market construct of inter-temporal flexibility in time-coupled economic dispatch

A metric and market construct of inter-temporal flexibility ...

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IEEE General Meeting Power& Energy Society

作者： Anupam Thatte Le Xie Market Evaluation and Design Midcontinent Independent System Operator Department of Electrical and Computer Engineering Texas A&M University

The increasing penetration of variable and uncertain generation from renewable resources poses a challenge for balancing the power system supply and demand. Violations of this constraint seriously impact system reliability and thus carry with them a very high cost. In order to address the issues created by variable generation increased system flexibility is required. system operators are considering modifications to the conventional real-time economic dispatch model to provide improved ramp flexibility. In this paper an operational flexibility metric called lack of ramp probability (LORP) is proposed for the real-time economic dispatch. Further, a two-step robust optimization based framework is introduced to simultaneously guarantee LORP flexibility metric and ensure ramp deliverability in a multi-zonal setting. The proposed framework is illustrated on a 3-zone modified IEEE 73 bus (RTS-96) test system.

关键词： Measurement Real-time systems computers Power systems Supply and demand Reliability

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Effect of via-transitions on signal integrity using power transmission lines

Effect of via-transitions on signal integrity using power tr...

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IEEE Workshop on Signal Propagation on Interconnects (SPI)

作者： David C. Zhang Madhavan Swaminathan David Keezer School of Electrical and Computer Engineering Center for Co-design of Chip Package System Georgia Institute of Technology Atlanta GA USA

Transmission lines carrying high-speed I/O signals that traverse through different metal layers in a printed circuit board suffer from return path discontinuities. As a result, significant amount of electromagnetic energy can couple to surrounding circuits and the power distribution network. In this work, we designed three printed circuit board (PCB) test vehicles using different power distribution topologies. One of them was based on a recently proposed power delivery method using power transmission lines (PTL). The other two were designed according to conventional power-ground plane pair approach. We show through measurement that PTL-based design provides less than -40dB of crosstalk between a signal line with multiple via-transitions and a nearby victim line. Measured data also showed that the PTL-based test vehicle had more than 68% of power supply noise reduction as compared to conventional designs.

关键词： Vehicles Ports (computers) Power supplies Transmission line measurements Couplings Routing Noise measurement

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Observability-driven Sensor Deployment in Smart Academic Environments: Demo Abstract 16

Observability-driven Sensor Deployment in Smart Academic Env...

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Proceedings of the 14th ACM Conference on Embedded Network Sensor systems CD-ROM

作者： A. Agarwal K. Jaiswal U. Gudhaka V. Munigala Krithi Ramamritham Gopinath Karmakar Department of Computer Science & Engineering Indian Institute of Technology Bombay Reactor Control System Design Section Bhabha Atomic Research Centre

ISBN: (纸本)9781450342636

Saving energy without causing discomfort and without demanding human intervention is the need of the day. It is important to develop sensor systems which not only satisfy user requirements, but also take energy consumption into consideration. In this demo, we present the sensing subsystems of a Smart Academic Environment, based upon the core concept of 'Observability' [1] which -- while satisfying user needs -- helps to reduce the number of sensors required.

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Multi-modality stacked deep polynomial network based feature learning for Alzheimer's disease diagnosis

Multi-modality stacked deep polynomial network based feature...

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IEEE International Symposium on Biomedical Imaging

作者： Xiao Zheng Jun Shi Yan Li Xiao Liu Qi Zhang School of Communication and Information Engineering Shanghai University Shenzhen City Key Laboratory of Embedded System Design College of Computer Science and Software Engineering Shenzhen University China

ISBN: (纸本)9781479923519

Feature representation is the critical factor for the computer-aided Alzheimer's disease (AD) diagnosis. Deep polynomial network (DPN) is a novel deep learning algorithm, which can effectively learn feature representation from small samples. In this work, a stacked DPN (S-DPN) algorithm is proposed to further improve feature representation. We then propose a multi-modality S-DPN (MM-S-DPN) algorithm to fuse multi-modality neuroimaging data and learn more discriminative and robust feature representation for AD classification. Experiments are performed on ADNI dataset with MRI and PET images as multi-modality data. The results indicate that S-DPN is superior to DPN and stacked auto-encoder algorithms. Moreover, MM-S-DPN achieves best performance compared with single-modality S-DPN and other multi-modality feature learning based algorithms.

关键词： Classification algorithms Magnetic resonance imaging Positron emission tomography Neuroimaging Diseases Training Machine learning

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A comprehensive software-based self-test and self-repair method for statically scheduled superscalar processors

A comprehensive software-based self-test and self-repair met...

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Latin American Test Workshop, LATW

作者： Mario Schölzel Tobias Koal Sebastian Müller Stefan Scharoba Stephanie Röder Heinrich T. Vierhaus System Design Department IHP GmbH Frankfurt (Oder) and University of Potsdam Germany Computer Engineering Group Brandenburg University of Technology Cottbus Germany

The integration of a diagnostic software-based self-test and a software-based self-repair method into a single statically scheduled superscalar processor is presented. The self-test method is used as start-up test in-the-field in order to detect and localize permanent faults in the processor. The determined fault state is handed over to a software-based self-repair program. This program adapts the user application, which should be executed on the core, to the current fault state. Thereby both methods are able to cope with multiple permanent faults in the core. For this purpose the self-test programs as well as the self-repair program can be adapted to the current fault state, too. The paper also describes the diagnostic capability of the self-test programs and the achieved fault coverage. The hardware and program memory overhead for the self-test and self-repair programs is reported, too.

关键词： Program processors Built-in self-test Circuit faults VLIW Schedules Redundancy Hardware

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Equal power sharing in islanded AC/DC hybrid microgrids

Equal power sharing in islanded AC/DC hybrid microgrids

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IEEE Canada Electric Power Conference, EPEC

作者： A. A. Eajal E. F. El-Saadany K. Ponnambalam Department of Electrical and Computer Engineering University of Waterloo Waterloo ON Canada Petroleum Institute (PI) Abu Dhabi UAE Department of System Engineering Design University of Waterloo Waterloo ON Canada

ISBN: (纸本)9781509019205

AC/DC hybrid microgrid is a promising architecture that allows for hosting energy resources and modern loads from AC and DC types; and in turn, it reduces the number of conversion stages among other technical and economical benefits. Consequently, power distribution planners started to investigate the possibility of hybridizing the existing AC grids and designing new AC/DC hybrid clusters referred to as microgrids as a step towards the envisioned smart grid with AC/DC technologies and “plug-and-play” feature. Nevertheless, while being islanded, AC/DC hybrid microgrids bring operational challenges to the system operation such as coordination among the distributed resources in both AC/DC subgrids, control and management of the power transfer through the interlinking converters, droop control of inverter-based distributed energy resources, and accurate power sharing. This paper looks closely at the problem of active and reactive power sharing in islanded droop-based AC/DC hybrid microgrids and proposes a unified power sharing scheme that is able to simultaneously ensure precise power sharing in both AC and DC subgrids. Test results demonstrate the capability of the proposed scheme in achieving exact power sharing not only among the energy resources in proportion to their ratings but also among the interlinking converters.

关键词： Microgrids Hybrid power systems Reactive power Integrated circuits Voltage control Energy resources Frequency control

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