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21st International Computer Science and engineering Conference, ICSEC 2017

作者： Xue-Fen, Wan Yi, Yang Tao, Zheng Jing-Wen, Zhang Sardar, Muhammad Sohail Department of Computer Science and Technology North China Institute of Science and Technology Langfang065201 China Hebei Engineering Technology Research Center for IoT Data Acquisition and Processing North China Institute of Science and Technology Hebei065201 China College of Information Science and Technology Donghua University Shanghai201620 China School of Economics and Management YanShan University Qinhuangdao066004 China

ISBN: (纸本)9781538607879

Aiming at the demand of distributed agriculture service in Beijing-Tianjin-Hebei (BTH) urbanization region, a smartphone based hybrid wireless sensor network node is presented. The designs of node hardware and corresponding smartphone App are discussed. The node can support the function of the traditional agriculture monitoring and device control by terminal/host configuration. The tourists and farmer can also access in-field node directly for distributed services by. In the test, the node has shown high reliability. Through the distributed services provided by the nodes, the user experience can be improved effectively. The node is expected to be candidate to provide the corresponding technical support for the future distributed agricultural service in BTH new-style urbanization. © 2017 IEEE.

关键词： Smartphones

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Multi-temporal MOD09A1-based detecting of major growth stages of paddy rice on a provincial scale 37

Multi-temporal MOD09A1-based detecting of major growth stage...

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37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017

作者： Huang, Linsheng Zhang, Shasha Zhao, Jinling Huang, Wenjiang Huang, Jinyang Qi, Xiaobo Anhui Engineering Laboratory Agro-Ecological Big Data Anhui University Hefei230601 China Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei230039 China Key Laboratory of Digital Earth Science Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences Beijing100094 China

ISBN: (纸本)9781509049516

Growth stage information is a very primary parameter for managing the grain crop. In this study, time series Enhanced Vegetation Index (EVI) data in 2015 were obtained in Anhui Province, China based on 8-day composite MOD09A1 data products, and the extraction method of rice phenology was specifically analyzed at a provincial scale. HANTS (Harmonic Analysis of Time Series) filtering algorithm was firstly used to smooth the time series EVI curves and identify every growth and development period of paddy rice. The results indicate that HANTS has a better performance in removing noise, restoring original information and retain the change information of multi-temporal EVI curves. The primary planting regions were located in the southern Huai-River areas, from early June to late June in 2015. It turned into the transplanting stage in succession from south to north and followed by the heading stage in succession in early August. From early September to late October, it turned into mature stage from south to north in succession. © 2017 IEEE.

关键词： Indexes

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Using deep learning to recognize biomedical entities

Using deep learning to recognize biomedical entities

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International Conference on Intelligent System and Knowledge engineering, ISKE

作者： Xuemin Yang Zhifei Zhang Ronggen Yang Daoyu Huang Geng Yang Lejun Gong Jiangsu Key Laboratory of Big Data Security &Intelligent Processing Nanjing University of Posts and Telecommunications Nanjing China Faculty Intelligent Science and Control Engineering Jinling Institute of Technology Nanjing China

With the rapid growth of the high-throughput biological technology, it brings biomedical big omics' data containing literature and annotated data. Especially, a wealth of relevant information exists in various types of biomedical literature. Text mining has emerged as a potential solution to achieve knowledge for bridging between the free text and structured representation of biomedical information. In this work, we used deep learning to recognize biomedical entities. We obtained 84.0% precision, 69.5% recall, and 76.1% F-score aiming at the GENIA corpus, and obtained 91.3% precision, 91.1% recall, and 91.2% F-score aiming at the BioCreAtIvE II Gene Mention corpus. Experimental results show that our proposed approach is promising for developing biomedical text mining technology in biomedical entity recognition.

关键词： Machine learning Neural networks Text mining Dictionaries Distributed databases Biological system modeling Telecommunications

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Blind Parallel Interrogation of Ultrasonic Neural Dust Motes Based on Canonical Polyadic Decomposition: a Simulation Study

Blind Parallel Interrogation of Ultrasonic Neural Dust Motes...

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European Signal processing Conference

作者： Alexander Bertrand Dongjin Seo Jose M. Carmena Michel M. Maharbiz Elad Alon Jan M. Rabaey KU Leuven - Dept. Electrical Engineering Stadius Center for Dynamical Systems Signal Processing and Data Analytics Dept. of Electrical Engineering and Computer Sciences University of California Berkeley Helen Wills Neuroscience Institute University of California Berkeley

Neural dust (ND) is a wireless ultrasonic backscatter system for communicating with implanted sensor devices, referred to as ND motes (NDMs). Due to its scalability, ND could allow to chronically record electro-physiological signals in the brain cortex at a micro-scale pitch. The free-floating NDMs are read out by an array of ultrasonic (US) transducers through passive backscattering, by sequentially steering a US beam to the target NDM. In order to perform such beam steering, the NDM positions or the channels between the NDMs and the US transducers have to be estimated, which is a non-trivial task. Furthermore, such a sequential beam steering approach is too slow to sample a dense ND grid with a sufficiently high sampling rate. In this paper, we propose a new ND interrogation scheme which is fast enough to completely sample the entire ND grid, and which does not need any information on the NDM positions or the per-NDM channel characteristics. For each sample time, the US transducers transmit only a few grid-wide US beams to the entire ND grid, in which case the reflected beams will consist of mixtures of multiple NDM signals. We arrange the demodulated backscattered signals in a 3-way tensor, and then use a canonical polyadic decomposition (CPD) to blindly estimate the neural signals from each underlying NDM. Based on a validated simulation model, we demonstrate that this new CPD-based interrogation scheme allows to reconstruct the neural signals from the entire ND grid with a sufficiently high accuracy, even at relatively low SNR regimes.

关键词： Tensile stress Transducers Backscatter Brain modeling Signal processing Acoustics data models

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Linked data Crowdsourcing Quality Assessment based on Domain Professionalism

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Journal of Physics: Conference Series 2019年第5期1187卷

作者： Lu Yang Li Huang Zhenzhen Liu School of Computer Science and Technology Wuhan University of Science and Technology Wuhan 430065 China Key Laboratory of Intelligent Information Processing and Real-time Industrial System in Hubei Province Wuhan 430065 China Institute of Big Data Science and Engineering Wuhan University of Science and Technology Wuhan 430065 China Key Laboratory of Rich-media Knowledge Organization and Service of Digital Publishing Content National Press and Publication Administration Beijing 100038 China

With the rapid development of Internet technology, crowdsourcing, as a flexible, effective and low-cost problem-solving method, has begun to receive more and more attention. The use of crowdsourcing to evaluate the quality of linked data has also become a research hotspot. This paper proposes the concept of Domain Specialization Test (DST), which uses domain professional testing tasks DSTs to evaluate the professionalism of workers, and combines the idea of Mini-batch Gradient Descent (MBGD) to improve the EM algorithm, and the MBEM algorithm is proposed to achieve efficient and accurate evaluation of task results. The experimental results show that the proposed method can screen out the appropriate workers for the linked data crowdsourcing task and improve the accuracy and iteration efficiency of the results.

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Emergency Event Matching using Hierarchical Blocking Method

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Journal of Physics: Conference Series 2019年第5期1187卷

作者： Chang Wen Yu Liu College of Computer Science and Technology Wuhan University of Science and Technology Wuhan 430065 China Key Laboratory of Intelligent Information Processing and Real-time Industrial System in Hubei Province Wuhan 430065 China Institute of Big Data Science and Engineering Wuhan University of Science and Technology Wuhan 430065 China Key Laboratory of Rich-media Knowledge Organization and Service of Digital Publishing Content National Press and Publication Administration Beijing 100038 China

With the extensive application of the knowledge base (KB), how to complete it is a hot topic on Semantic Web. However, many problems go with the big data, and the event matching is one of these problems, which is finding out the entities referring to the same things in the real world and also the key point in the extending process. To enrich the emergency knowledge base (E-SKB) we constructed before, we need to filter out the news from several web pages and find the same news to avoid data redundancy. In this paper, we proposed a hierarchy blocking method to reduce the times of comparisons and narrow down the scope by extracting the news properties as the blocking keys. The method transforms the event matching problem into a clustering problem. Experimental results show that the proposed method is superior to the existing text clustering algorithm with high precision and less comparison times.

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Unsupervised extraction of phenotypes from cancer clinical notes for association studies

arXiv

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arXiv 2019年

作者： Stark, Stefan G. Hyland, Stephanie L. Pradier, Melanie F. Lehmann, Kjong-Van Wicki, Andreas Perez-Cruz, Fernando Vogt, Julia E. Rätsch, Gunnar Computational Biology Program Memorial Sloan Kettering Cancer Center New York United States Tri-Institutional Ph.D. Program in Computational Biology and Medicine Weill Cornell Medicine New York United States Department of Computer Science ETH Zürich Zürich Switzerland Medical Informatics Group University Hospital Zürich Zürich Switzerland Swiss Institute for Bioinformatics Zurich Switzerland Department of Biology ETH Zürich Zürich Switzerland Department of Signal Processing and Information Theory University Carlos III in Madrid Leganés Spain School of Engineering and Applied Sciences Harvard University CambridgeMA United States Department of Biomedicine University of Basel Basel Switzerland Tumorzentrum University Hospital Basel Basel Switzerland Swiss Data Science Center ETH Zürich and EPFL Lausanne Switzerland Department of Mathematics and Computer Science University of Basel Basel Switzerland

The recent adoption of Electronic Health Records (EHRs) by healthcare providers has introduced an important source of data that provides detailed and highly specific insights into patient phenotypes over large cohorts. These datasets, in combination with machine learning and statistical approaches, generate new opportunities for research and clinical care. However, many methods require the patient representations to be in structured formats, while the information in the EHR is often locked in unstructured text designed for human readability. In this work, we develop the methodology to automatically extract clinical features from clinical narratives from large EHR corpora without the need for prior knowledge. We consider medical terms and sentences appearing in clinical narratives as atomic information units. We propose an efficient clustering strategy suitable for the analysis of large text corpora and utilize the clusters to represent information about the patient compactly. Additionally, we define the sentences on ontologic and natural language vocabularies to automatically detect pertinent combinations of concepts present in the corpus, even when an ontology is not available. To demonstrate the utility of our approach, we perform an association study of clinical features with somatic mutation profiles from 4,007 cancer patients and their tumors. We apply the proposed algorithm to a dataset consisting of .65 thousand documents with a total of .3.2 million sentences. After correcting for cancer type and other confounding factors, we identify a total of 340 significant statistical associations between the presence of somatic mutations and clinical features. We annotated these associations according to their novelty and we report several known associations. We also propose 37 plausible, testable hypothesis for associations where the underlying biological mechanism does not appear to be known. These results illustrate that the automated discovery of clinical features

关键词： Diseases

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A Case Study on Implementing Virtual 5D Torus Networks Using Network Components of Lower Dimensionality

A Case Study on Implementing Virtual 5D Torus Networks Using...

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IEEE International Workshop on High-Performance Interconnection Networks in the Exascale and Big-data Era (HiPINEB)

作者： Francisco J. Andújar Juan A. Villar José L. Sánchez Francisco J. Alfaro José Duato Hoger Fröning Department of Systems Data Processing and Computers Polytechnic University of Valencia Valencia Spain Department of Computing Systems University of Castilla-La Mancha Albacete Spain Institute of Computer Engineering Ruprecht-Karls University of Heidelberg Mannheim Germany

Several of the most powerful supercomputers in the Top500 and the Graph500 lists continue choosing a torus topology to interconnect a large number of compute nodes. In some cases, a torus network with five or six dimensions is implemented, however, one notices that the costs of implementing an interconnection network increase with the node degree. In previous works we defined and characterized the nD Twin (nDT) torus topology in order to virtually increase the dimensionality of a torus. This new topology reduces the distances between nodes and therefore increases network performance. In this work, we present how to build a 5DT torus network using commercial 6-port network cards. The main issues of this approach are detailed, and we present solutions these problems. Moreover we show, using the same components, that the performance of the 5DT torus network is higher than the performance of the 3D torus network for the same number of compute nodes.

关键词： Ports (Computers) Topology Switches Network topology Routing Multiprocessor interconnection Hardware

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Beam-energy dependence of the relativistic retardation effects of electrical fields on the π−/π+ ratio in heavy-ion collisions

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Physical Review C 2018年第2期98卷 024618-024618页

作者： Gao-Feng Wei Gao-Chan Yong Li Ou Qi-Jun Zhi Zheng-Wen Long Xiao-Hua Zhou Shaanxi Engineering Research Center of Controllable Neutron Source Xijing University Xian 710123 China School of Mechanical and Material Engineering Xi'an University of Arts and Sciences Xi'an 710065 China School of Physics and Electronic Science Guizhou Normal University Guiyang 550001 China Institute of Modern Physics Chinese Academy of Sciences Lanzhou 730000 China College of Physics and Technology Guangxi Normal University Guilin 541004 China Guangxi Key Laboratory Breeding Base of Nuclear Physics and Technology Guangxi Normal University Guilin 541004 China Guizhou Provincial Key Laboratory of Radio Astronomy and Data Processing Guizhou Normal University Guiyang 550001 China College of Physics Guizhou University Guiyang 550025 China

In this article we investigate the beam-energy dependence of relativistic retardation effects of electrical fields on the single and double π−/π+ ratios in three heavy-ion reactions with an isospin- and momentum-dependent transport model IBUU11. With the beam energy increasing from 200 to 400 MeV/nucleon, effects of the relativistically retarded electrical fields on the π−/π+ ratio are found to increase gradually from negligible to considerably significant as expected; it is, however, an interesting observation that the relativistic retardation effects of electrical fields on the π−/π+ ratio become gradually insignificant as the beam energy further increases from 400 to 800 MeV/nucleon. That is to say, with the beam energy increasing, the competition of enhanced anisotropic features of retarded electrical fields and reduced duration time of the reactions gets effects of the relativistically retarded electrical fields on the π−/π+ ratio to be maximum around 400 MeV/nucleon. Therefore, the relativistic retardation effects of electrical fields should be carefully considered in heavy-ion collisions at intermediate energy especially around 400 MeV/nucleon when using the π−/π+ ratio as the probe of nuclear symmetry energy. Moreover, we also investigate the isospin dependence of relativistic retardation effects of electrical fields on the π−/π+ ratio in two isobar reaction systems of Ru96+Ru96 and Zr96+Zr96 at the beam energies from 200 to 800 MeV/nucleon. It is shown that the relativistic retardation effects of electrical fields on the π−/π+ ratio are independent of the isospin of reaction. Furthermore, we also examine the double π−/π+ ratio in reactions of Zr96+Zr96 over Ru96+Ru96 at the beam energies from 200 to 800 MeV/nucleon with the static field and retarded field, respectively. It is shown that the double π−/π+ ratio from two reactions is still an effective observable of symmetry energy without the interference of electrical field due to using the relativistic calc

关键词： Low & intermediate energy heavy-ion reactions Nuclear many-body theory Nuclear reactions Nucleon-nucleon interactions Symmetry energy

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Investigation of shunt solar cells’ currents based on equivalent circuit model

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Science China(Technological Sciences) 2016年第9期59卷 1391-1398页

作者： YI ShiGuang ZHANG WanHui SHEN Hui ZHANG WenJie LUO ZhiRong CHEN Le College of Physical Science and Technology Engineering Guangxi Colleges and Universities Key Laboratory of Complex System Optimization and Large Data Processing Yulin Normal University Yulin 537000 China Institute for Solar Energy Systems Sun Yat-sen University Guangzhou 510275 China Guangdong Testing Institute of Product Quality Supervision Foshan 528300 China

In view of the universality of the parallel connection of solar cells and their mismatch problem, in the present paper, we select two shunt solar cells (connected in parallel) as our research object, and use the equivalent one-diode circuit of the solar cell and the analysis of the two-body model. At first, the equations of current and voltage are deduced from the related electrical laws and the circuit diagram of the two solar cells connected in parallel. Then, according to the experimentally measured data of typical single-crystalline silicon solar cells (125 mm×125 mm), we select the appropriate simulation parameters. Following this, by using the photo-generated current, the shunt resistance, and the serial resistance of one of the shunt solar cells and the load resistance as independent variables, in turn, the changing characteristics of each branch current in the two shunt solar cells are numerically discussed and analyzed for these four cases for the first time. At the same time, we provide a simple physical explanation for the modeling results. Our analyses show that these parameters have different impacts on the internal currents of solar cells connected in parallel. These results provide a reference to solve the problem of connecting solar cells and to develop higher efficiency solar cells and systems. Meanwhile, the results will contribute to a better comprehension of the reasons for efficiency loss of solar cells and systems, and deepen the understanding of the electrical of solar cells behavior for high performance photovoltaic applications.

关键词： solar cells mismatch losses internal currents

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