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Mixed-Cell-Height Legalization Considering Technology and Region Constraints

Mixed-Cell-Height Legalization Considering Technology and Re...

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作者： Zhu, Ziran Chen, Jianli Zhu, Wenxing Chang, Yao-Wen Center for Discrete Mathematics and Theoretical Computer Science Fuzhou University Fuzhou China State Key Laboratory of ASIC and System Fudan University Shanghai China Department of Electrical Engineering Graduate Institute of Electronics Engineering National Taiwan University Taipei Taiwan

Mixed-cell-height circuits have become popular in advanced technologies for better power, area, routability, and performance tradeoffs. With technology and region constraints imposed by modern circuit designs, the mixed-cell-height legalization problem has become even more challenging. Additionally, an ideal legalization method should minimize both the average and maximum cell movements to preserve the quality of a given placement as much as possible. In this article, we present an effective and efficient mixed-cell-height legalization algorithm to consider technology and region constraints while minimizing the average and maximum cell movements. We first present a fence region handling technique to unify the fence regions and the default region. To obtain a desired cell assignment, we then propose a movement-aware cell reassignment method by iteratively reassigning cells in locally dense areas to their desired rows. After cell reassignment, a technology-aware legalization is presented to remove cell overlaps while satisfying the technology constraints. Finally, we propose a technology-aware refinement to further reduce the average and maximum cell movements without increasing the technology constraints violations. Compared with the champion of the 2017 CAD Contest at ICCAD and the state-of-the-art work, experimental results based on the 2017 CAD Contest at ICCAD benchmarks show that our algorithm achieves the best average and maximum cell movements and significantly fewer technology constraint violations, in a comparable runtime. The experimental results based on the modified 2015 ISPD Contest benchmarks also demonstrate the effectiveness of our algorithm in minimizing the average and maximum cell movements, compared with state-of-the-art mixed-cell-height legalizers. © 1982-2012 IEEE.

关键词： Iterative methods

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Unsupervised feature selection via adaptive embedding and sparse learning for Parkinson’s disease diagnosis 1

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3rd international Workshop on Connectomics in NeuroImaging, CNI 2019 held in conjunction with the 22nd international conference on Medical Image Computing and computer Assisted Intervention, MICCAI 2019

作者： Huang, Zhongwei Lei, Haijun Chen, Guoliang Li, Shiqi Li, Hancong Elazab, Ahmed Lei, Baiying Key Laboratory of Service Computing and Applications Guangdong Province Key Laboratory of Popular High Performance Computers College of Computer Science and Software Engineering Shenzhen University Shenzhen518060 China National-Regional Key Technology Engineering Laboratory for Medical Ultrasound Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging School of Biomedical Engineering Health Science Center Shenzhen University Shenzhen518060 China

ISBN: (数字)9783030323912

ISBN: (纸本)9783030323905

Parkinson’s disease (PD) is known as a progressive neurodegenerative disease in elderly people. Apart from decelerating the disease exacerbation, early and accurate diagnosis also alleviates mental and physical sufferings and provides timely and appropriate medication. In this paper, we propose an unsupervised feature selection method via adaptive manifold embedding and sparse learning exploiting longitudinal multimodal neuroimaging data for classification and regression prediction. Specifically, the proposed method simultaneously carries out feature selection and dynamic local structure learning to obtain the structural information inherent in the neuroimaging data. We conduct extensive experiments on the publicly available Parkinson’s progression markers initiative (PPMI) dataset to validate the proposed method. Our proposed method outperforms other state-of-the-art methods in terms of classification and regression prediction performance. © Springer Nature Switzerland AG 2019.

关键词： Neuroimaging

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Multimessenger NuEM Alerts with AMON 37

Multimessenger NuEM Alerts with AMON

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37th international Cosmic Ray conference, ICRC 2021

作者： Ayala, Hugo Albert, A. Alves, S. André, M. Anghinolfi, M. Ardid, M. Ardid, S. Aubert, J.-J. Aublin, J. Baret, B. Basa, S. Belhorma, B. Bendahman, M. Bertin, V. Biagi, S. Bissinger, M. Boumaaza, J. Bouta, M. Bouwhuis, M.C. Brânzaş, H. Bruijn, R. Brunner, J. Busto, J. Caiffi, B. Capone, A. Caramete, L. Carr, J. Carretero, V. Celli, S. Chabab, M. Chau, T.N. Cherkaoui El Moursli, R. Chiarusi, T. Circella, M. Coleiro, A. Colomer-Molla, M. Coniglione, R. Coyle, P. Creusot, A. Díaz, A.F. de Wasseige, G. Deschamps, A. Distefano, C. Di Palma, I. Domi, A. Donzaud, C. Dornic, D. Drouhin, D. Eberl, T. van Eeden, T. van Eijk, D. El Khayati, N. Enzenhöfer, A. Fermani, P. Ferrara, G. Filippini, F. Fusco, L.A. Gatelet, Y. Gay, P. Glotin, H. Gozzini, R. Gracia Ruiz, R. Graf, K. Guidi, C. Hallmann, S. van Haren, H. Heijboer, A.J. Hello, Y. Hernández-Rey, J.J. Hößl, J. Hofestädt, J. Huang, F. Illuminati, G. James, C.W. Jisse-Jung, B. de Jong, M. de Jong, P. Kadler, M. Kalekin, O. Khan-Chowdhury, N.R. Kouchner, A. Kreykenbohm, I. Kulikovskiy, V. Lahmann, R. Le Breton, R. Lefèvre, D. Leonora, E. Levi, G. Lincetto, M. Lopez-Coto, D. Loucatos, S. Maderer, L. Manczak, J. Marcelin, M. Margiotta, A. Marinelli, A. Martínez-Mora, J.A. Melis, K. Migliozzi, P. Moussa, A. Muller, R. Nauta, L. Navas, S. Nezri, E. O'Fearraigh, B. Păun, A. Păvălaş, G.E. Pellegrino, C. Perrin-Terrin, M. Pestel, V. Piattelli, P. Pieterse, C. Poirè, C. Popa, V. Pradier, T. Randazzo, N. Reck, S. Riccobene, G. Romanov, A. Sánchez-Losa, A. Samtleben, D.F.E. Sanguineti, M. Sapienza, P. Schnabel, J. Schumann, J. Schüssler, F. Spurio, M. Stolarczyk, Th. Taiuti, M. Tayalati, Y. Tingay, S.J. Vallage, B. Van Elewyck, V. Versari, F. Viola, S. Vivolo, D. Wilms, J. Zavatarelli, S. Zegarelli, A. Zornoza, J.D. Zúñiga, J. Abeysekara, A.U. Alfaro, R. Alvarez, C. Álvarez, J.D. Angeles Camacho, J.R. Arteaga-Velázquez, J.C. Arunbabu, K.P. Avila Rojas, D. Ayala Solares, H.A. Pennsylvania State University State College United States Université de Strasbourg CNRS IPHC UMR 7178 StrasbourgF-67000 France Université de Haute Alsace MulhouseF-68100 France IFIC - Instituto de Física Corpuscular CSIC - Universitat de València c/Catedrático José Beltrán Paterna Valencia2 E-46980 Spain Technical University of Catalonia Laboratory of Applied Bioacoustics Rambla Exposició Vilanova i la Geltrú Barcelona08800 Spain INFN - Sezione di Genova Via Dodecaneso 33 Genova16146 Italy Friedrich-Alexander-Universität Erlangen-Nürnberg Erlangen Centre for Astroparticle Physics Erwin-Rommel-Str. 1 Erlangen91058 Germany Universitat Politècnica de València C/Paranimf 1 Gandia46730 Spain Aix Marseille Univ CNRS/IN2P3 CPPM Marseille France Université de Paris CNRS Astroparticule et Cosmologie ParisF-75013 France Aix Marseille Univ CNRS CNES LAM Marseille France National Center for Energy Sciences and Nuclear Techniques B.P.1382 RabatR. P.10001 Morocco University Mohammed V in Rabat Faculty of Sciences 4 av. Ibn Battouta B.P. 1014 RabatR.P. 10000 Morocco Via S. Sofia 62 Catania95123 Italy University Mohammed I Laboratory of Physics of Matter and Radiations B.P.717 Oujda6000 Morocco Nikhef Science Park Amsterdam Netherlands Institute of Space Science Bucharest MăgureleRO-077125 Romania Universiteit van Amsterdam Instituut voor Hoge-Energie Fysica Science Park 105 Amsterdam1098 XG Netherlands INFN - Sezione di Roma P.le Aldo Moro 2 Roma00185 Italy Dipartimento di Fisica Università La Sapienza P.le Aldo Moro 2 Roma00185 Italy LPHEA Faculty of Science - Semlali Cadi Ayyad University MarrakechP.O.B. 2390 Morocco INFN - Sezione di Bologna Viale Berti-Pichat 6/2 Bologna40127 Italy INFN - Sezione di Bari Via E. Orabona 4 Bari70126 Italy Department of Computer Architecture and Technology CITIC University of Granada Granada18071 Spain Géoazur UCA CNRS IRD Observatoire de la Côte d'Azur Sophia Antipolis France U

The Astrophysical Multimessenger Observatory Network (AMON), has developed a real-time multi-messenger alert system. The system performs coincidence analyses of datasets from gamma-ray and neutrino detectors, making the Neutrino-Electromagnetic (NuEM) alert channel. For these analyses, AMON takes advantage of sub-threshold events, i.e., events that by themselves are not significant in the individual detectors. The main purpose of this channel is to search for gamma-ray counterparts of neutrino events. We will describe the different analyses that make-up this channel and present a selection of recent results. © Copyright owned by the author(s) under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 international License (CC BY-NC-ND 4.0)

关键词： Gamma rays

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Instrumentation & control system for "sAMOP" reactor experimental facility 6

Instrumentation & control system for "sAMOP" reactor experim...

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6th international Seminar on Mathematics, science, and computer science Education, MSCEIS 2018

作者： Syarip Rosyid, M. Dewita Abimanyu, A. Centre for Accelerator Science and Technology JL. Babarsari POB 6101 ykbb Yogyakarta Indonesia Polytechnic Institute of Nuclear Technology Yogyakarta Indonesia

The instrumentation and control system (ICS) for a subcritical assembly for molly-99 production (SAMOP) reactor experimental facility is presented in this paper. The system is designed based on the defense-in-depth concept. SAMOP reactor is fuelled by uranyl nitrate and driven by an external neutron source from Kartini reactor beam-port. The ICS was designed using 2 neutron detectors of fission chamber and compensated ionization chamber types and provided with a safety rod made from boral used for shutting-down the reactor in emergency condition. The method used for reactor protection system is based on hardwire with a fail-safe principle. The safety rod drive mechanism is designed by using rack and pinion, and provided by the safety button of key release and electromagnetic holder status. © Published under licence by IOP Publishing Ltd.

关键词： Control systems

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Mapping of Irrigation service Capacity by Remote Sensing in Batang Tampo Irrigation system-Lintau Buo

Mapping of Irrigation Service Capacity by Remote Sensing in ...

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international conference on Sustainable Agriculture, ICSA 2018

作者： Asmuti, A. Department of Agricultural Engineering Andalas University Padang Indonesia

Batang Tampo Irrigation system (DI Tampo) area 1,437 ha, has 65 irrigation service are in Sub Basin Batang Tampo. Main river in Sub Basin is 25 km and a part of Sub Basin Kuantan-Inderagiri. This area lied on hilly terrain 350-2262 m above sea level. Normaly, cropping intensity of rice farms is 2 to 2,5. But in dry period in downstream area it has 1 or failed because of water stress or dried. Even The rainfield area is not planted in the period of dry season. The area of rice field along the river or irrigation system show that it has better cropping intensity. It should have to know how is irrigation service capacity of Batang Tampo Irrigation system. Technology of Remote Sensing it can be used to evaluate of the capacity of irrigation sevice by using of information data satelite, like Digital Elevation Model (DEM) for topografi data, image, land level and Enhanced Vegetation Index (EVI) and rain (Herdianto dkk., 2010). This data usely combine with Geographic Information system (GIS) for spacial information data. This study aims to map the ability of DI Tampo service by utilizing remote sensing technology with a vegetation index as its main parameter, upstream-downstream variations, variations otf the position rice farms land level (Hilly or Valley) or terrain land level, and distance of rice fields from irrigation water sources. The method to identification of the capacity irrigation service is EVI by remote sensing and survey by the farmers to verivication data. Hydrology data is collected by the authority. Rice field area is identified by GIS and topography data by DEM. EVI value, which is a representation of photosynthetic activity and canopy density of paddy cropped or cropping intensity on paddy field each year. Average EVI data is collect for five years (2012-2017, excepted 2015). The result of this research shows: Irrigation service capacity influences by the topography of rice farms, mainly in the upstream. In upstream, some area of rice field was not crop

关键词： Irrigation

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A General Solution and Practice for Automatically Constructing Domain Knowledge Graph

A General Solution and Practice for Automatically Constructi...

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international conference on computer and Communications (ICCC)

作者： Xiaomin Yang Shuai Zhao Bo Cheng Xu Wang Jianchang Ao Zhenzi Li Zeyan Cao State Key Laboratory of networking and switching technology Beijing University of Posts and Telecommunications Beijing China 2012 Labs Huawei Technologies CO. LTD Beijing China

ISBN: (数字)9781728186351

ISBN: (纸本)9781728186368

A knowledge graph is a semantic network that reveals the relationships between entities. Domain knowledge graphs can assist practitioners in complex analysis applications and decision support, and build industry barriers. A good construction system can help companies construct domain knowledge graphs efficiently and quickly. However, due to the differences in data models and business requirements in different fields, there is no general method for constructing a domain knowledge graph. Moreover, the current construction methods require a lot of manpower investment, which is relatively inefficient. To solve the inefficiency and nonuniversal problems in the process of domain knowledge graph construction, in this paper, we study the automated construction mechanism of Chinese domain knowledge graphs and propose a general automatic construction solution. Experimental results show that our proposed solution is more effective in constructing a domain knowledge graph.

关键词： Knowledge engineering Industries Home appliances conferences Semantics Data models Investment

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The density-aware estimation network for vehicle counting in traffic surveillance system 15

The density-aware estimation network for vehicle counting in...

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15th international conference on Signal Image Technology and Internet Based systems, SISITS 2019

作者： Sooksatra, Sorn Yoshitaka, Atsuo Kondo, Toshiaki Bunnun, Pished School of Information and Communication Technology Sirindhorn International Institute of Technology Pathum Thani Thailand School of Information Science Japan Advanced Institute of Science and Technology Ishikawa Japan National Electronic and Computer Technology Center National Science and Technology Development Agency Pathum Thani Thailand

ISBN: (纸本)9781728156866

In a surveillance system, the performance of vehicle counting is typically sensitive to the different patterns of traffic density. To address this issue, we proposed the estimation network utilizing intermediate layers for mapping between the appearance of the input image and its density map, where each layer corresponds to different traffic density. The backward connection is introduced by extracting feature maps from a deeper layer to combine with a shallower layer. Taking advantage of the high-level feature from deep layers, more informative features are extracted in the shallow layers, where the performance in an earlier stage can be improved. The experimental results show that the proposed method provides more stable performance in various traffic density than traditional approaches, where the difference between the maximum and the minimum errors in various density is about 5, evaluated by mean absolute error. © 2019 IEEE.

关键词： Security systems

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An alternative natural action interface for virtual reality 34

An alternative natural action interface for virtual reality

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34th international conference on computers and Their Applications, CATA 2019

作者： Woo, Jay Frost, Andrew Goffinet, Tyler Le, Vinh Scully-Allison, Connor Carthen, Chase Dascalu, Sergiu Department of Computer Science and Engineering University of Nevada Reno RenoNV89557 United States

ISBN: (纸本)9781510885967

The development of affordable virtual reality (VR) hardware represents a keystone of progress in modern software development and human-computer interaction. Despite the ready availability of robust hardware tools, there is presently a lack of video games or software in VR that demonstrates the gamut of unique and novel interfaces a virtual environment can provide. In this paper, we present a virtual reality video game which introduces unique user interface elements that can only be achieved in a 3D virtual environment. The video game, titled Wolf Hunt, provides users with a menu system that innovates on traditional interfaces with a virtual representation of a common item people interact with daily: a mobile phone. Wolf Hunt throws users into a procedurally generated world where they take the role of an individual escaping a wolf assailant. Deviating from traditional locomotion options in VR interfaces, such as teleportation, Wolf Hunt measures the displacement of hand-held VR controllers with the VR headset to simulate the natural action of running. Wolf Hunt provides an alternate interfacing solution for VR systems without having to conform to common 2D interface design schemes. Copyright © 2012-2020 ***. All rights reserved.

关键词： Virtual reality

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Classification of H&E Stained Breast Cancer Histopathology Images Based on Convolutional Neural Network 4

Classification of H&E Stained Breast Cancer Histopathology I...

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2019 4th Annual international conference on Information system and Artificial Intelligence, ISAI 2019

作者： Jiang, Yun Chen, Li Zhang, Hai Xiao, Xiao College of Computer Science and Engineering Northwest Normal University Lanzhou Gansu China

Automatic classification of H&E breast cancer histopathology images is a challenging task. computer-aided diagnostic systems help reduce costs and increase the efficiency of the process. Although the existing research on breast cancer histopathology image classification is higher than 90% accurate in the binary classifications (non-carcinoma/carcinoma), the classification accuracy of four classifications (normal, benign, in situ, invasive) is less than 80%. This paper proposes a framework for the classification of H&E stained breast cancer histopathological images, which includes two methods based on convolutional neural network. The first method is based on the convolutional neural network structure of the SE-ResNet module, and the second method is based on the transfer learning hybrid model structure, which achieves the accuracy of 80.33% and 86.11% respectively. Compared with the state-of-the-art method, the accuracy is improved by 2.56% and 8.33% respectively. The proposed framework achieves 91.67% accuracy in binary classification and is competitive with state-of-the-art methods. © 2019 Published under licence by IOP Publishing Ltd.

关键词： Image classification

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Emergency communications database with ticketing archive for training new employees 34

Emergency communications database with ticketing archive for...

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34th international conference on computers and Their Applications, CATA 2019

作者： Ginn, Dustin T. Lee, Ilhyun Lee, Haesun Mathematics and Computer Science Department University of Texas of the Permian Basin OdessaTX79762 United States

ISBN: (纸本)9781510885967

The Emergency 9-1-1 Resiliency Platform (E9RP) is a web tool designed as a ticketing system and an efficiency database tool. The ticketing system will allow users to initiate, update, track, close, and view notes of an emergency 9-1-1 system. Furthermore, the ticketing system will archive ticket, and their pertinent details, for users to retrieve at a later date. Primarily, these users will be less experienced technicians that find themselves stumped by a particular problem that a customer has reported. These users will be able to access and search the historical reference to compare past comparable issues to get notions as to how to repair their current issue. Secondly, the Emergency 9-1-1 Resiliency Platform will host a comprehensive database of PSAP information that is accessible through a web interface for technicians to quickly and efficiently access pertinent information about the network and its resources. This will allow technicians to correct any network failures with greater efficiency, as much of this information is stored on hard copies located in file cabinets, and can be accessed only by "sneaker net". The target audience for the Emergency 9-1-1 Resiliency Platform is the system administrators and technicians who maintain these systems. This unrelenting 24/7/365 task can be made simpler by centralizing the data into an easy to access Web Interface. Auxiliary users and vertical personnel will also find great use, however, the primary target for this project is the heavy users, or system administrators. Copyright © 2012-2020 ***. All rights reserved.

关键词： Database systems

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