检索结果-内蒙古大学图书馆

IEEE International Conference on Electronics, Circuits and Systems (ICECS)

作者： Guilherme Paim Leonardo Soares Julio F. R. Oliveira Eduardo Costa Sergio Bampi Electronic Engineering - Engineering Center (CEng) Federal University of Pelotas (UFPel) Graduate Program in Microelectronics (PGMicro) Federal University of Rio Grande do Sul (UFRGS) Porto Alegre Brazil Graduate Program on Electronic Engineering and Computing Catholic University of Pelotas (UCPel) Pelotas Brazil

ISBN: (纸本)9781509061143

This paper presents an power-efficient imprecise radix-4 multiplier applied to filtering Hi-Res (High Resolution) audio. The proposed multiplier was based on an imprecise 2×2 (m=2) multiplication block in order to implement optimized 2's complement radix-2 m array multipliers. The imprecise 2×2 multiplication block was previously proposed in literature, and presents as main characteristic a tunable error that enables the building of an imprecise radix-4 multiplier with a reduced number of logic gates. Since in the radix-2 m multiplier architecture the operands are split into groups of m bits, then, the m=2 imprecise multiplier is used as a basic component in its structure. Our work deals with different levels of approximation in the radix-2 m multiplier. We present four different approximate radix-4 multipliers architectures to be used in sequential FIR filters implemented in hardware. The filters are described in VHDL and synthesized for ASIC in Cadence RTL Compiler tool using Nangate 45nm standard cells. The power reports are evaluated using real input vectors from Hi-Res audio sequences in order to obtain valid power dissipation results. The imprecise FIR filters present area and power reductions of up to 5.7% and 12.5% when compared to the precise designs without compromising the Signal to Noise Ratio (SNR) of recorded 24-bit@192kHz Hi-Res audio signals.

关键词： Finite impulse response filters Signal to noise ratio Computer architecture Logic gates MATLAB Periodic structures Power dissipation

来源：评论

学校读者我要写书评

暂无评论

Overview of KAGRA : Data transfer and management

引用

Progress of Theoretical and Experimental Physics 2023年第10期2023卷

作者： Akutsu, T Ando, M Arai, K Arai, Y Araki, S Araya, A Aritomi, N Asada, H Aso, Y Bae, S Bae, Y Baiotti, L Bajpai, R Barton, M A Cannon, K Cao, Z Capocasa, E Chan, M Chen, C Chen, K Chen, Y Chiang, C-Y Chu, H Chu, Y-K Eguchi, S Enomoto, Y Flaminio, R Fujii, Y Fujikawa, Y Fukunaga, M Fukushima, M Gao, D Ge, G Ha, S Hagiwara, A Haino, S Han, W-B Hasegawa, K Hattori, K Hayakawa, H Hayama, K Himemoto, Y Hiranuma, Y Hirata, N Hirose, E Hong, Z Hsieh, B Huang, G-Z Huang, H-Y Huang, P Huang, Y-C Huang, Y Hui, D C Y Ide, S Ikenoue, B Imam, S Inayoshi, K Inoue, Y Ioka, K Ito, K Itoh, Y Izumi, K Jeon, C Jin, H-B Jung, K Jung, P Kaihotsu, K Kajita, T Kakizaki, M Kamiizumi, M Kanda, N Kang, G Kawaguchi, K Kawai, N Kawasaki, T Kim, C Kim, J Kim, J C Kim, W S Kim, Y-M Kimura, N Kita, N Kitazawa, H Kobayashi, Y Kojima, Y Kokeyama, K Komori, K Kong, A K H Kotake, K Kozakai, C Kozu, R Kumar, R Kume, J Kuo, C Kuo, H-S Kuromiya, Y Kuroyanagi, S Kusayanagi, K Kwak, K Lee, H K Lee, H W Lee, R Leonardi, M Li, K L Lin, L C-C Lin, C-Y Lin, F-K Lin, F-L Lin, H L Liu, G C Luo, L-W Majorana, E Marchio, M Michimura, Y Mio, N Miyakawa, O Miyamoto, A Miyazaki, Y Miyo, K Miyoki, S Mori, Y Morisaki, S Moriwaki, Y Nagano, K Nagano, S Nakamura, K Nakano, H Nakano, M Nakashima, R Nakayama, Y Narikawa, T Naticchioni, L Negishi, R Quynh, L Nguyen Ni, W-T Nishizawa, A Nozaki, S Obuchi, Y Ogaki, W Oh, J J Oh, K Oh, S H Ohashi, M Ohashi, T Ohishi, N Ohkawa, M Ohta, H Okutani, Y Okutomi, K Oohara, K Ooi, C Oshino, S Otabe, S Pan, K Pang, H Parisi, A Park, J Arellano, F E Peña Pinto, I Sago, N Saito, S Saito, Y Sakai, K Sakai, Y Sakuno, Y Sasaki, Y Sato, S Sato, T Sawada, T Sekiguchi, T Sekiguchi, Y Shao, L Shibagaki, S Shimizu, R Shimoda, T Shimode, K Shinkai, H Shishido, T Shoda, A Somiya, K Son, E J Sotani, H Sugimoto, R Suresh, J Suzuki, T Tagoshi, H Takahashi, H Takahashi, R Takamori, A Takano, S Takeda, H Takeda, M Tanaka, H Tanaka, K Tanaka, T Tanioka, S Martin, E N Tapia San Telada, S Tomaru, T Tomigami, Y Tomura, T Travasso, F Trozzo, L Tsang, T Ts Gravitational Wave Science Project National Astronomical Observatory of Japan (NAOJ) 2-21-1 Osawa Mitaka City Tokyo 181-8588 Japan Advanced Technology Center National Astronomical Observatory of Japan (NAOJ) 2-21-1 Osawa Mitaka City Tokyo 181-8588 Japan Department of Physics The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo 113-0033 Japan Research Center for the Early Universe (RESCEU) The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo 113-0033 Japan Institute for Cosmic Ray Research (ICRR) KAGRA Observatory The University of Tokyo 5-1-5 Kashiwa-no-Ha Kashiwa City Chiba 277-8582 Japan Accelerator Laboratory High Energy Accelerator Research Organization (KEK) 1-1 Oho Tsukuba City Ibaraki 305-0801 Japan Earthquake Research Institute The University of Tokyo 1-1-1 Yayoi Bunkyo-ku Tokyo 113-0032 Japan Department of Mathematics and Physics Hirosaki University 3 Bunkyo-cho Hirosaki City Aomori 036-8561 Japan Kamioka Branch National Astronomical Observatory of Japan (NAOJ) 238 Higashi-Mozumi Kamioka-cho Hida City Gifu 506-1205 Japan The Graduate University for Advanced Studies (SOKENDAI) 2-21-1 Osawa Mitaka City Tokyo 181-8588 Japan Korea Institute of Science and Technology Information (KISTI) 245 Daehak-ro Yuseong-gu Daejeon 34141 Korea National Institute for Mathematical Sciences 70 Yuseong-daero 1689 Beon-gil Yuseong-gu Daejeon 34047 Korea International College Osaka University 1-1 Machikaneyama-cho Toyonaka City Osaka 560-0043 Japan School of High Energy Accelerator Science The Graduate University for Advanced Studies (SOKENDAI) 1-1 Oho Tsukuba City Ibaraki 305-0801 Japan Department of Astronomy Beijing Normal University No. 19 Xinjiekou Street Beijing 100875 China Department of Applied Physics Fukuoka University 8-19-1 Nanakuma Jonan Fukuoka City Fukuoka 814-0180 Japan Department of Physics Tamkang University No. 151 Yingzhuan Rd. Danshui Dist. New Taipei City 25137 Taiwan Department of Physics and Institute of Astronomy Nation

KAGRA is a newly built gravitational wave observatory, a laser interferometer with a 3 km arm length, located in Kamioka, Gifu prefecture, Japan. In this article, we describe the KAGRA data management system, i.e., recording of data, transfer from the KAGRA experiment site to computing resources, as well as data distribution to tier sites, including international sites in Taiwan and Korea. The amount of KAGRA data exceeded 1.0 PiB and increased by about 1.5 TB per day during operation in 2020. Our system has succeeded in data management, and has achieved performance that can withstand observations after 2023, that is, a transfer rate of 20 MB s-1or more and file storage of sufficient capacity for petabyte class. We also discuss the sharing of data between the global gravitational-wave detector network with other experiments, namely LIGO and Virgo. The latency, which consists of calculation of calibrated strain data and transfer time within the global network, is very important from the view of multi-messenger astronomy using gravitational waves. Real-time calbrated data delivered from the KAGRA detector site and other detectors to our computing system arrive with about 4–15 seconds of latency. These latencies are sufficiently short compared to the time taken for gravitational wave event search computations. We also established a high-latency exchange of offline calibrated data that was aggregated with a better accuracy compared with real-time data.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Applying MGAP Modeling to the Hard Real-time Task Allocation on Multiple Heterogeneous Processors Problem

引用

Procedia Computer Science 2016年 80卷 1135-1146页

作者： Eduardo Valentin Rosiane de Freitas Raimundo Barreto Institute of Computing (ICOMP) Post-graduate Program in Informatics (PPGI) Federal University of Amazonas (UFAM) Av. Rodrigo Otávio Jordão Ramos 6200 Coroado Zip-code 69077-000 Manaus-Brazil

The usage of heterogeneous multicore platforms is appealing for applications, e.g. hard real-time systems, due to the potential reduced energy consumption offered by such platforms. However, the power wall is still a barrier to improving the processor design process due to the power consumption of components. Hard real-time systems are part of life critical environments and reducing the energy consumption on such systems is an onerous and complex process. This paper reassesses the problem of finding assignments of hard real-time tasks among heterogeneous processors taking into account timing constraints and targeting low power consumption. We also propose models based on a well-established literature formulation of the Multilevel Generalized Assignment Problem (MGAP). We tackle the problem from the perspective of different integer programming mathematical formulations and their interplay on the search for optimal solutions. Experimentation shows that using strict schedulability tests as constraints of 0/1 integer linear programming results in faster solvers capable of finding optimum solutions with lower power consumption.

关键词： Hard Real-time MGAP Schedulability Task Assignment DVFS

来源：评论

学校读者我要写书评

暂无评论

Business intelligence model to support a judge's decision making about legal situations

Business intelligence model to support a judge's decision ma...

引用

IEEE Central America and Panama Convention (CONCAPAN)

作者： Luis Raúl Rodríguez Oconitrillo Alvaro de la Ossa Osegueda Graduate Program in Computing and Informatics Universidad de Costa Rica San Jose Costa Rica School of Computer Science University of Costa Rica San Jos?? Costa Rica

ISBN: (纸本)9781467395793

Legal decision-making support is key for legal security in any legal system. This paper describes a new scope and method for Business Intelligence applied in the legal domain. We describe a legal case processing model based on the transformation of relevant data from a legal case file by a judge, to produce what we call the judge's perception of the case. That is a representation of the case that stresses (1) the relevance of the different attributes of the case, and (2) the relationships among attributes that the judge considers relevant for argumentation purposes.

关键词： Law Decision making Cognition Tools Business intelligence

来源：评论

学校读者我要写书评

暂无评论

Management of intellectual capital in a system of management accounting information 6

Management of intellectual capital in a system of management...

引用

6th International Conference on Computers Communications and Control, ICCCC 2016

作者： Piontkewicz, Regiane Freitas, Maria Do Carmo D. Kemczinski, Avanilde Martin, Claudia Duran San Department of Industrial Engineering Federal University of Paraná Curitiba Brazil Department of Science and Information Management Faculty of Information Management Federal University of Paraná Curitiba Brazil Graduate Program in Applied Computing Computer Science Department Santa Catarina State University Joinville Brazil Department of Industrial Engineering Faculty of Engineering University of Santiago de Chile Santiago Chile

ISBN: (纸本)9781509017355

The recognition of Intellectual Capital as a source of competitive advantage and differentiation element for organizations requires an application of new management strategies that include this feature. Considering the importance of the Accounting Information System (AIS) in organizations, the research has the main objective to investigate the contributions of accounting as Management Information System in management of Intellectual Capital in an organization. Therefore, it was adopted a single case study as research strategy, applied in a Brazilian industry of consumption goods, on the market for over 85 years. The results obtained in the documentary analysis, questionnaires, interviews and literature show that the Accounting Management Information System (AMIS) contributes to the management of Intellectual Capital. In the investigated organization, AMIS is widely used and shows similarities with the specifications found in the literature, possessing the ability of adaptation to receive indicators or variables that enable the management of Intellectual Capital. It was found that the incorporation of the variables of Intellectual Capital in AMIS could be accomplished by adopting the method proposed by López-Ruiz and Nevado-Pena, that uses both traditional financial indicators and indicators of Intellectual Capital, not conflicting with the traditional AMIS, but complementing it. Inserting variables of Intellectual Capital in AMIS also allows uniformity of understanding on the subject by all company managers. © 2016 IEEE.

关键词： Competition

来源：评论

学校读者我要写书评

暂无评论

Correction to: A probiotic has differential effects on allergic airway inflammation in A/J and C57BL/6 mice and is correlated with the gut microbiome

引用

Microbiome 2021年第1期9卷 159页

作者： Mateus B Casaro Andrew M Thomas Eduardo Mendes Claudio Fukumori Willian R Ribeiro Fernando A Oliveira Amanda R Crisma Gilson M Murata Bruna Bizzarro Anderson Sá-Nunes Joao C Setubal Marcia P A Mayer Flaviano S Martins Angélica T Vieira Ana T F B Antiorio Wothan Tavares-de-Lima Niels O S Camara Rui Curi Emmanuel Dias-Neto Caroline M Ferreira Department of Pharmaceutics Sciences Institute of Environmental Chemistry and Pharmaceutical Sciences Universidade Federal de São Paulo R. São Nicolau 210 Diadema SP 09913-03 Brazil. Department CIBIO University of Trento Trento Italy. Medical Genomics Laboratory CIPE/A.C. Camargo Cancer Center São Paulo Brazil. Department of Biochemistry Institute of Chemistry Universidade de São Paulo São Paulo Brazil. Center for Mathematics Computing and Cognition (CMCC) Federal University of ABC - UFABC São Bernardo do Campo SP Brazil. Department of Clinical Analyses Universidade Federal do Paraná Curitiba Brazil. Department of Medical Clinic Faculty of Medicine University of São Paulo São Paulo 01246-903 Brazil. Department of Immunology Institute of Biomedical Sciences Universidade de São Paulo São Paulo Brazil. Department of Microbiology Institute of Biomedical Sciences University of São Paulo São Paulo SP Brazil. Department of Microbiology Institute of Biological Sciences Federal Universidade de Minas Gerais Belo Horizonte Brazil. Department of Biochemistry and Immunology Biological Science Institute Federal University of Minas Gerais Belo Horizonte Brazil. Department of Pathology School of Veterinary Medicine and Animal Science Universidade de São Paulo São Paulo Brazil. Department of Pharmacology Institute of Biomedical Sciences I Universidade de São Paulo São Paulo Brazil. Interdisciplinary Post-Graduate Program in Health Sciences Cruzeiro do Sul University São Paulo Brazil. Laboratory of Neurosciences (LIM-27) Institute of Psychiatry Medical School Universidade de São Paulo São Paulo Brazil. Department of Pharmaceutics Sciences Institute of Environmental Chemistry and Pharmaceutical Sciences Universidade Federal de São Paulo R. São Nicolau 210 Diadema SP 09913-03 Brazil. cferreira16@unifesp.br.

来源：评论

学校读者我要写书评

暂无评论

Correction: White matter diffusion estimates in obsessive-compulsive disorder across 1653 individuals: machine learning findings from the ENIGMA OCD Working Group

引用

Molecular psychiatry 2024年第4期29卷 1216页

作者： Bo-Gyeom Kim Gakyung Kim Yoshinari Abe Pino Alonso Stephanie Ameis Alan Anticevic Paul D Arnold Srinivas Balachander Nerisa Banaj Nuria Bargalló Marcelo C Batistuzzo Francesco Benedetti Sara Bertolín Jan Carl Beucke Irene Bollettini Silvia Brem Brian P Brennan Jan K Buitelaar Rosa Calvo Miguel Castelo-Branco Yuqi Cheng Ritu Bhusal Chhatkuli Valentina Ciullo Ana Coelho Beatriz Couto Sara Dallaspezia Benjamin A Ely Sónia Ferreira Martine Fontaine Jean-Paul Fouche Rachael Grazioplene Patricia Gruner Kristen Hagen Bjarne Hansen Gregory L Hanna Yoshiyuki Hirano Marcelo Q Höxter Morgan Hough Hao Hu Chaim Huyser Toshikazu Ikuta Neda Jahanshad Anthony James Fern Jaspers-Fayer Selina Kasprzak Norbert Kathmann Christian Kaufmann Minah Kim Kathrin Koch Gerd Kvale Jun Soo Kwon Luisa Lazaro Junhee Lee Christine Lochner Jin Lu Daniela Rodriguez Manrique Ignacio Martínez-Zalacaín Yoshitada Masuda Koji Matsumoto Maria Paula Maziero Jose M Menchón Luciano Minuzzi Pedro Silva Moreira Pedro Morgado Janardhanan C Narayanaswamy Jin Narumoto Ana E Ortiz Junko Ota Jose C Pariente Chris Perriello Maria Picó-Pérez Christopher Pittenger Sara Poletti Eva Real Y C Janardhan Reddy Daan van Rooij Yuki Sakai João Ricardo Sato Cinto Segalas Roseli G Shavitt Zonglin Shen Eiji Shimizu Venkataram Shivakumar Noam Soreni Carles Soriano-Mas Nuno Sousa Mafalda Machado Sousa Gianfranco Spalletta Emily R Stern S Evelyn Stewart Philip R Szeszko Rajat Thomas Sophia I Thomopoulos Daniela Vecchio Ganesan Venkatasubramanian Chris Vriend Susanne Walitza Zhen Wang Anri Watanabe Lidewij Wolters Jian Xu Kei Yamada Je-Yeon Yun Mojtaba Zarei Qing Zhao Xi Zhu Paul M Thompson Willem B Bruin Guido A van Wingen Federica Piras Fabrizio Piras Dan J Stein Odile A van den Heuvel Helen Blair Simpson Rachel Marsh Jiook Cha Department of Psychology College of Social Sciences Seoul National University Seoul Republic of Korea. Department of Brain and Cognitive Sciences College of Natural Sciences Seoul National University Seoul Republic of Korea. Graduate School of Medical Science Kyoto Prefectural University of Medicine Department of Psychiatry Kyoto City Japan. Bellvitge Biomedical Research Insitute-IDIBELL Bellvitge University Hospital Barcelona Spain. CIBER of Mental Health (CIBERSAM) Carlos III Health Institute Madrid Spain. Department of Clinical Sciences University of Barcelona Barcelona Spain. The Margaret and Wallace McCain Centre for Child Youth & Family Mental Health and Campbell Family Mental Health Research Institute Centre for Addiction and Mental Health Toronto ON Canada. Department of Psychiatry University of Toronto Toronto ON Canada. Program in Neurosciences and Mental Health The Hospital for Sick Children Toronto ON Canada. Department of Psychiatry Yale University School of Medicine New Haven CT 06510 USA. The Mathison Centre for Mental Health Research & Education Hotchkiss Brain Institute Cumming School of Medicine University of Calgary Calgary AB Canada. Departments of Psychiatry and Medical Genetics Cumming School of Medicine University of Calgary Calgary AB Canada. OCD clinic Department of Psychiatry National Institute of Mental Health And Neurosciences (NIMHANS) Bangalore India. Laboratory of Neuropsychiatry Department of Clinical and Neuroscience and Neurorehabilitation IRCCS Santa Lucia Foundation Rome Italy. Center of Image Diagnostic Hospital Clínic de Barcelona Barcelona Spain. Magnetic Resonance Image Core Facility Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS) Barcelona Spain. Departamento e Instituto de Psiquiatria do Hospital das Clinicas IPQ HCFMUSP Faculdade de Medicina Universidade de Sao Paulo Sao Paulo SP Brazil. Department of Methods and Techniques in Psychology Pontifical Catholic University São Paulo SP

来源：评论

学校读者我要写书评

暂无评论

Spider-DAR: A Tool to Support the Implementation of Decision Analysis and Resolution Process Based into CMMI-DEV and MR-MPS-SW Models

Spider-DAR: A Tool to Support the Implementation of Decision...

引用

International Conference on the Quality of Information and Communications Technology (QUATIC)

作者： Luiz Otávio Danin de Lima Sandro Ronaldo Bezerra Oliveira Bleno Wilson Franklin Vale da Silva Géssica Pinheiro da Silva Iuri Igonez Silva Raiol Universidade Federal do Para Belem PA BR Graduate Program in Computer Science Federal University of Pará Belem Pará Brazil Faculty of Computing Federal University of Pará Belem Pará Brazil

ISBN: (纸本)9781509035823

In order to have a competitive software industry, it is essential to adopt standards and reference models of software processes quality. However, despite the growing adoption of standards and models, the number of organizations that adopt these is a small portion of the total population of software organizations. This paper presents a tool to support the implementation of decision analysis and resolution process in adherence to CMMI-DEV model. This tool aims to assist software organizations in the implementation of the CMMI-DEV model. We expect that this tool be more easily adopted by software organizations because it is based on models and standards largely accepted. Furthermore, this tool adopts free technologies (non-proprietary) in order to reduce costs.

关键词： Software Decision analysis Organizations Analytical models Standards organizations Capability maturity model

来源：评论

学校读者我要写书评

暂无评论

Publisher Correction: Deep Machine Learning Techniques for the Detection and Classification of Sperm Whale Bioacoustics

引用

Scientific reports 2019年第1期9卷 18481页

作者： Peter C Bermant Michael M Bronstein Robert J Wood Shane Gero David F Gruber Radcliffe Institute for Advanced Study Harvard University Cambridge MA USA. Department of Computing Imperial College London UK. Twitter 20 Air Street London W1B 5DL United Kingdom. Wyss Institute for Biologically Inspired Engineering Harvard University Cambridge MA USA. Harvard John A. Paulson School of Engineering and Applied Sciences Harvard University Cambridge MA USA. Department of Zoophysiology Institute for Bioscience Aarhus University C.F. Møllers Allé 3 Aarhus 8000 Denmark. Radcliffe Institute for Advanced Study Harvard University Cambridge MA USA. David.Gruber@baruch.cuny.edu. Department of Natural Sciences Baruch College and The Graduate Center PhD Program in Biology City University of New York New York NY USA. David.Gruber@baruch.cuny.edu.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Cloud elasticity for HPC applications: Observing energy, performance and cost 41

Cloud elasticity for HPC applications: Observing energy, per...

引用

41st Latin American computing Conference, CLEI 2015

作者： Rodrigues, Vinicius Facco Rostirolla, Gustavo Da Rosa Righi, Rodrigo André Da Costa, Cristiano Barbosa, Jorge Luis Victória Applied Computing Graduate Program - Unisinos Av. Unisinos 950 Sâo Leopoldo RS Brazil

ISBN: (纸本)9781467391436

Elasticity is one of the most known capabilities related to cloud computing, being largely deployed using thresholds. In this way, limits are used to drive resource mangement actions, leading to the following problem statements: How can cloud users set the threshold values to enable elasticity in their cloud applications? And what is the impact of the application's load pattern in the elasticity? This article answers these questions for iterative high performance computing applications, showing the impact of both thresholds and load patterns on application performance and resource consumption. To accomplish this, we developed a reactive and PaaS-based elasticity model called AutoElastic and employed it over a private cloud to execute a numerical integration application. Here, we are presenting an analysis of best practices and possible optimizations regarding the elasticity and HPC pair. Considering the results, we observed that the upper threshold influences the application time more than the lower one. © 2015 IEEE.

关键词： Elasticity

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：