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MyWAL: performance optimization by removing redundant input/output stack in key-value store Research Article
Xiao ZHANG, Mengyu LI, Michael NGULUBE, Yonghao CHEN, Yiping ZHAO,zhangxiao@nwpu.edu.cn,limy@mail.nwpu.edu.cn
Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 7, Pages 980-993 doi: 10.1631/FITEE.2200496
Keywords: Key-value (KV) store Log-structured merge (LSM) tree Non-volatile memory (NVM) Non-volatile memoryexpress soild-state drive (NVMe SSD) Write-ahead log (WAL)
Additive direct-write microfabrication for MEMS: A review
Kwok Siong TEH
Frontiers of Mechanical Engineering 2017, Volume 12, Issue 4, Pages 490-509 doi: 10.1007/s11465-017-0484-4
Direct-write additive manufacturing refers to a rich and growing repertoire of well-established fabricationAt the macroscale, direct-write techniques such as stereolithography, selective laser sintering, fusedThe technological premises of all direct-write additive manufacturing are identical—convertingWhile still at its infancy, direct-write additive manufacturing techniques at the microscale have thetraditional MEMS processes that rely heavily on expensive equipment and time-consuming steps, direct-write
Keywords: direct-write additive manufacturing microfabrication MEMS
S. Surender REDDY,Chan-Mook JUNG,Ko Jun SEOG
Frontiers in Energy 2016, Volume 10, Issue 1, Pages 105-113 doi: 10.1007/s11708-016-0393-y
Keywords: day-ahead electricity markets price forecasting load forecasting artificial neural networks load serving
Erratum to: Past review, current progress, and challenges ahead on the cocktail party problem
Yan-min QIAN, Chao WENG, Xuan-kai CHANG, Shuai WANG, Dong YU
Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 4, doi: 10.1631/FITEE.17e0814
Ahead geological forecasting technology of Bieyancao Tunnel on Yichang-Wanzhou Railway
Ren Shaoqiang
Strategic Study of CAE 2010, Volume 12, Issue 8, Pages 99-106
Keywords: risky tunnel Karst cave underground river comprehensive ahead geological forecasting
Instrument Industry Needs to Develop Ahead of Time
Strategic Study of CAE 2002, Volume 4, Issue 10, Pages 94-94
Gao Xueping,Chen Hong,Song Huifang
Strategic Study of CAE 2011, Volume 13, Issue 12, Pages 63-67
In thermally stratified reservoir, a multi-level intake structure is usually adopted in hydropower station to reduce the negative effect of releasing lower-temperature water to the environment in downstream reach. And a simple and practical formula of water temperature released is need. In this paper, based on Nuozhadu Hydropower Station, a model test is conducted to model the thermal stratification of this reservoir, and measure the temperature of water released from the intake structure. A prediction formula of water temperature released is put forward based on the experimental data. The formula is validated by the experimental results of water temperature released from the intakes of Jinping No.1 Hydropower Station.
Keywords: thermally stratified reservoir hydropower station intake stop-log gate formula of water temperature
Erratum to: Past review, current progress, and challengesahead on the cocktail party problem Regular Papers
Yan-min QIAN, Chao WENG, Xuan-kai CHANG, Shuai WANG, Dong YU
Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 3, doi: 10.1631/FITEE.19e0001
Keywords: None
Miao Li, Jian Li, Yuchen Lu, Cenyang Han, Xiaoxuan Wei, Guangcai Ma, Haiying Yu
Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 2, doi: 10.1007/s11783-020-1316-z
Keywords: Storage lipid/water distribution coefficient log Klip/w Organic compounds QSPR Quantum
Active Machine Learning for Chemical Engineers: A Bright Future Lies Ahead! Perspective
Yannick Ureel, Maarten R. Dobbelaere, Yi Ouyang, Kevin De Ras, Maarten K. Sabbe, Guy B. Marin, Kevin M. Van Geem
Engineering 2023, Volume 27, Issue 8, Pages 23-30 doi: 10.1016/j.eng.2023.02.019
Keywords: Active machine learning Active learning Bayesian optimization Chemical engineering Design of experiments
ShortTail: taming tail latency for erasure-code-based in-memory systems Research Article
Yun TENG, Zhiyue LI, Jing HUANG, Guangyan ZHANG
Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 11, Pages 1646-1657 doi: 10.1631/FITEE.2100566
Keywords: Erasure code In-memory system Node fail-slow Small write Tail latency
Carbon Capture and Storage: History and the Road Ahead Review
Jinfeng Ma, Lin Li, Haofan Wang, Yi Du, Junjie Ma, Xiaoli Zhang, Zhenliang Wang
Engineering 2022, Volume 14, Issue 7, Pages 33-43 doi: 10.1016/j.eng.2021.11.024
The large-scale deployment of carbon capture and storage (CCS) is becoming increasingly urgent in the global path toward net zero emissions; however, global CCS deployment is significantly lagging behind its expected contribution to greenhouse gas emission reduction. Reviewing and learning from the examples and history of successful CCS practices in advanced countries will help other countries, including China, to promote and deploy CCS projects using scientific methods. This paper shows that the establishment of major science and technology CCS infrastructures in advanced countries has become the main source of CCS technological innovation, cost reduction, risk reduction, commercial promotion, and talent training in the development and demonstration of key CCS technologies. Sound development of CCS requires a transition from pilot-scale science and technology infrastructures to large-scale commercial infrastructures, in addition to incentive policies; otherwise, it will be difficult to overcome the technical barriers between small-scale demonstrations and the implementation of million-tonne-scale CCS and ten-million-tonne-scale CCS hubs. Geological CO2 storage is the ultimate goal of CCS projects and the driving force of CO2 capture. Further improving the accuracy of technologies for the measurement, monitoring, and verification (MMV) of CO2 storage capacity, emission reduction, and safety remains a problem for geological storage. CO2 storage in saline aquifers can better couple multiple carbon emission sources and is currently a priority direction for development. Reducing the energy consumption of lowconcentration CO2 capture and the depletion of chemical absorbents and improving the operational efficiency and stability of post-combustion CO2 capture systems have become the key constraints to largescale CCS deployment. Enhanced oil recovery (EOR) is also important in order for countries to maximize fossil fuel extraction instead of importing oil from less environmentally friendly oil-producing countries.
Keywords: CCS research facility Net GHG emission reduction Energy consumption Monitoring
Past review, current progress, and challenges ahead on the cocktail party problem Review
Yan-min QIAN, Chao WENG, Xuan-kai CHANG, Shuai WANG, Dong YU
Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 1, Pages 40-63 doi: 10.1631/FITEE.1700814
Keywords: Cocktail party problem Computational auditory scene analysis Non-negative matrix factorization Permutation invariant training Multi-talker speech processing
Title Author Date Type Operation
MyWAL: performance optimization by removing redundant input/output stack in key-value store
Xiao ZHANG, Mengyu LI, Michael NGULUBE, Yonghao CHEN, Yiping ZHAO,zhangxiao@nwpu.edu.cn,limy@mail.nwpu.edu.cn
Journal Article
Day-ahead electricity price forecasting using back propagation neural networks and weighted least square
S. Surender REDDY,Chan-Mook JUNG,Ko Jun SEOG
Journal Article
Erratum to: Past review, current progress, and challenges ahead on the cocktail party problem
Yan-min QIAN, Chao WENG, Xuan-kai CHANG, Shuai WANG, Dong YU
Journal Article
Ahead geological forecasting technology of Bieyancao Tunnel on Yichang-Wanzhou Railway
Ren Shaoqiang
Journal Article
A prediction formula of water temperature released from the multi-level stop-log gate intake of hydropower
Gao Xueping,Chen Hong,Song Huifang
Journal Article
Erratum to: Past review, current progress, and challengesahead on the cocktail party problem
Yan-min QIAN, Chao WENG, Xuan-kai CHANG, Shuai WANG, Dong YU
Journal Article
Developing the QSPR model for predicting the storage lipid/water distribution coefficient of organic compounds
Miao Li, Jian Li, Yuchen Lu, Cenyang Han, Xiaoxuan Wei, Guangcai Ma, Haiying Yu
Journal Article
Active Machine Learning for Chemical Engineers: A Bright Future Lies Ahead!
Yannick Ureel, Maarten R. Dobbelaere, Yi Ouyang, Kevin De Ras, Maarten K. Sabbe, Guy B. Marin, Kevin M. Van Geem
Journal Article
ShortTail: taming tail latency for erasure-code-based in-memory systems
Yun TENG, Zhiyue LI, Jing HUANG, Guangyan ZHANG
Journal Article
Carbon Capture and Storage: History and the Road Ahead
Jinfeng Ma, Lin Li, Haofan Wang, Yi Du, Junjie Ma, Xiaoli Zhang, Zhenliang Wang
Journal Article