NSTL国家科技图书文献中心

1. Online Extrinsic Calibration of RGB and ToF Cameras for Extraterrestrial Exploration NSTL国家科技图书文献中心

Qinxuan Sun | Hang Shi ... - 《2023 42nd Chinese Control Conference: 42nd Chinese Control Conference (CCC), 24-26 July 2023, Tianjin, China》 - Chinese Control Conference - 2023, - 7447～7452 - 共6页

摘要：Extraterrestrial exploration is one of the most significant missions for the development of countries. Different sensors are used in an extraterrestrial exploration mission for different kinds of task...

关键词： Vibrations | Navigation | Image edge detection | Grasping | Cameras | Probabilistic logic | Real-time systems

2. Textile pattern recommendations with convolutional neural networks and autoencoder EI 工程索引 NSTL国家科技图书文献中心

Kuang Mao | SaiWu ... - 《Concurrency and computation: practice and experience》 - 2023,35(18) - e6113.1～e6113.14 - 共14页 - 被引量：1

摘要：Textile pattern design is a time-consuming and tedious work. Mihui, our ongoing developing system, employs deep-learning techniques to automatically generate huge volumes of patterns with the help of ...

关键词： autoencoder | CNN | recommendation algorithm | textile pattern

3. A Parallel Framework for Streaming Graphs Computing NSTL国家科技图书文献中心

Ting Jiang | Ting Yu ... - 《2022 IEEE International Conference on Big Data: Big Data 2022, Osaka, Japan, 17-20 December 2022, [v.1]》 - IEEE International Conference on Big Data - 2022, - 6673～6675 - 共3页

摘要：Streaming computation for large graphs on parallel systems faces challenges in task decomposition, data skew, and resource scheduling. In this work, we propose a general parallel streaming framework f...

关键词： Performance evaluation | Processor scheduling | Big Data | Computational efficiency | Task analysis | Faces

4. Knowledge Tracing Based on Gated Heterogeneous Graph Convolutional Networks NSTL国家科技图书文献中心

Yang Zhang | Zhen Wang ... - 《2022 IEEE International Conference on Big Data: Big Data 2022, Osaka, Japan, 17-20 December 2022, [v.1]》 - IEEE International Conference on Big Data - 2022, - 6847～6849 - 共3页

摘要：The advancement of science and technology provides the possibility of personalized intelligent education. Representation learning of students’ behavior data is challenging because whether time sequenc...

关键词： Learning systems | Knowledge engineering | Representation learning | Time series analysis | Logic gates | Big Data | Feature extraction

5. IDGMS: a One-Stop Graph Mining System for Infectious Diseases NSTL国家科技图书文献中心

Zenghui Xu | Ting Yu ... - 《2022 IEEE International Conference on Big Data: Big Data 2022, Osaka, Japan, 17-20 December 2022, [v.1]》 - IEEE International Conference on Big Data - 2022, - 6835～6837 - 共3页

摘要：Data mining in infectious disease pandemic scenarios is a complex giant task involving data from various fields and requirements of real-time and dynamic. In this paper, we propose a graph mining syst...

关键词： Couplings | Extrapolation | Infectious diseases | Pandemics | Big Data | User interfaces | Real-time systems

6. Characterizing Co-Located Workloads in Alibaba Cloud Datacenters SCIE Web of Science核心 EI 工程索引 NSTL国家科技图书文献中心

Congfeng Jiang | Yitao Qiu ... - 《IEEE transactions on cloud computing》 - 2022,10(4) - 2381～2397 - 共17页 - 被引量：7

摘要：Workload characteristics are vital for both data center operation and job scheduling in co-located data centers, where online services and batch jobs are deployed on the same production cluster. In th...

关键词： Containers | Data centers | Cloud computing | Task analysis | Job shop scheduling | Resource management

7. Recommendation on Heterogeneous Information Network with Type-Sensitive Sampling NSTL国家科技图书文献中心

Jinze Bai | Jialin Wang ... - 《Database Systems for Advanced Applications, part 3: 25th International Conference on Database Systems for Advanced Applications (DASFAA 2020), 24-27 September 2020, Juju, South Korea》 - International Conference on Database Systems for Advanced Applications - 2020, - 673～684 - 共12页

摘要：Most entities and relations for recommendation tasks in the real world are of multiple types, large-scale, and power-law. The heterogeneous information network (HIN) based approaches are widely used i...

关键词： Heterogeneous information network | Graph neural networks | Recommendation

NSTL主题词： Information Network | Suggestion

8. Edge AIBench: Towards Comprehensive End-to-End Edge Computing Benchmarking NSTL国家科技图书文献中心

Tianshu Hao | Yunyou Huang ... - 《Benchmarking, Measuring, and Optimizing: First BenchCouncil International Symposium, Bench 2018, Seattle, WA, USA, December 10-13, 2018, Revised Selected Papers》 - International Symposium on Benchmarking, Measuring, and Optimizing - 2019, - 23～30 - 共8页

摘要：In edge computing scenarios, the distribution of data and collaboration of workloads on different layers are serious concerns for performance, privacy, and security issues. So for edge computing bench...

关键词： Edge computing | AI benchmarks | Testbed | Federated learning

NSTL主题词： BENCHMARKS | end-to-end | Edge of a figure or solid | edges

9. Towards Building a Scalable Data Analytics System on Clouds: An Early Experience on AliCloud NSTL国家科技图书文献中心

Congfeng Jiang | Wei Huang ... - 《2018 IEEE 11th International Conference on Cloud Computing: CLOUD 2018, San Francisco, California, USA, 2-7 July 2018, pages 500-990, [v.2]》 - IEEE International Conference on Cloud Computing - 2018, - 891～895 - 共5页

摘要：With the development of big data, big data processing systems, such as Hadoop and Spark, are widely used to handle large-scale data. To avoid the complexity and expensiveness of building a self-owned ...

关键词： Scalability evaluation | Cloud-based data processing | SaaS

NSTL主题词： Early experience | Clouds | Scalability | Buildings

10. Characterizing the Effectiveness of Query Optimizer in Spark NSTL国家科技图书文献中心

Zujie Ren | Na Yun ... - 《2018 IEEE World Congress on Services: SERVICES 2018, San Francisco, California, USA, 2-7 July 2018》 - IEEE World Congress on Services - 2018, - 41～42 - 共2页

摘要：In the big data community, Spark has been widely used for processing interactive queries. Spark employs a query optimizer, called Catalyst, to provides a set of optimization rules and supports Cost-Ba...