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Integrated approach to winery waste: waste generation and data consolidation

Margarida OLIVEIRA,Elizabeth DUARTE

Frontiers of Environmental Science & Engineering 2016, Volume 10, Issue 1,   Pages 168-176 doi: 10.1007/s11783-014-0693-6

Abstract: The winemaking process involves the generation of a significant amount of waste and wastewater.As each winery is unique in waste generation and disposal, plans for environmentally friendly waste managementIn this regard, the data acquisition and consolidation ensure the transfer of information and experience

Keywords： waste management     wastewater reuse     winery wastewater    

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Data-driven distribution network topology identification considering correlated generation power of distributed

Frontiers in Energy 2022, Volume 16, Issue 1,   Pages 121-129 doi: 10.1007/s11708-021-0780-x

Abstract: This paper proposes a data-driven topology identification method for distribution systems with distributed

Keywords： power distribution network     data-driven     topology identification     distributed energy resource     maximal    

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Machine Learning and Data-Driven Techniques for the Control of Smart Power Generation Systems: An Uncertainty Review

Li Sun, Fengqi You

Engineering 2021, Volume 7, Issue 9,   Pages 1239-1247 doi: 10.1016/j.eng.2021.04.020

Abstract:

Due to growing concerns regarding climate change and environmental protection, smart power generationThe burgeoning era of machine learning (ML) and data-driven control (DDC) techniques promises an improvedapplications of ML and DDC at the level of monitoring, control, optimization, and fault detection of power generationA holistic view is provided on the control techniques of smart power generation, from the regulation

Keywords： Smart power generation     Machine learning     Data-driven control     Systems engineering    

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of Intelligent Manufacturing Technologies, Industries, and Application under the Guidance of a New-Generation

Li Bohu, Chai Xudong, Zhang Lin, Hou Baocun, Liu Yang

Strategic Study of CAE 2018, Volume 20, Issue 4,   Pages 73-78 doi: 10.15302/J-SSCAE-2018.04.012

Abstract: text-align: justify;">This paper first briefly explains the booming era of "New Internet + Big DataArtificial Intelligence +", then discussed that an intelligent manufacturing system guided by a new-generationconnotation, architecture, and technical system of the intelligent manufacturing system guided by a new-generationartificial intelligence technology, and introduces the preliminary study on its prototype—big dataFinally, some suggestions for developing the intelligent manufacturing system guided by a new-generation

Keywords： new-generation intelligent manufacturing     new-intelligent interconnected manufacturing system     big data    

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Information Science Should Take a Lead in Future Biomedical Research Perspective

Kenta Nakai

Engineering 2019, Volume 5, Issue 6,   Pages 1155-1158 doi: 10.1016/j.eng.2019.07.023

Abstract: this commentary, I explain my perspective on the relationship between artificial intelligence (AI)/dataThus, in biology, the "data-to-knowledge" approach is important.Recently, the explosive development of next-generation sequencing (NGS) has been producing massive dataThese data can be regarded as grid data points in climate simulation.data, and will take a leading role in future precision medicine.

Keywords： Data science     Artificial intelligence     Next-generation sequencing     DNA     Cancer genome     Single-cell transcriptomics    

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Next-Generation Database Benchmark for Financial Scenarios

Jing Yinan, Zhang Hanbing, Li Zhixin , Wang Xiaoyang , Wu Jie , Chai Hongfeng

Strategic Study of CAE 2022, Volume 24, Issue 4,   Pages 121-132 doi: 10.15302/J-SSCAE-2022.04.014

Abstract: It aims to facilitate the performance comparisons of next-generation cloud data service systems

3.4.3 Test data generation

data-generation method is rule-based (e.g., TPC-H).Consequently, the data generated by the rule-based data generation method cannot simulate real businessdata generation methods to generate highly simulated financial data with a security guarantee.

Keywords： financial industry     bank     financial data     database     benchmark    

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Studies on advanced water-cooled reactors beyond generation III for power generation

CHENG Xu

Frontiers in Energy 2007, Volume 1, Issue 2,   Pages 141-149 doi: 10.1007/s11708-007-0018-6

Abstract: power program motivates the country s nuclear community to develop advanced reactor concepts beyond generationselection criteria, two new types of water-cooled reactors are recommended for future Chinese nuclear power generationIt is a logical extension of the generation III PWR technology in China.

Keywords： Chinese situation     selection     generation     water-cooled     feasibility    

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Synthesis and photoconductivities of bisazo charge generation materials

ZHAO Qian, WANG Shirong, LI Xianggao, HE Lili

Frontiers of Chemical Science and Engineering 2008, Volume 2, Issue 3,   Pages 330-334 doi: 10.1007/s11705-008-0061-9

Abstract: Using these bisazo compounds as charge generation materials and CT-191(2-methyl-4-(-dibenzyl)aminobenzoaldehyde

Keywords： -6-aminobenzoxazole     4′-aminophenyl     transportation     xerographic performance     generation    

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Self-generation of machining precision and its realization in lapping of super precision solid balls

ZHANG Bopeng

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 3,   Pages 348-353 doi: 10.1007/s11465-008-0065-7

Abstract: This paper presents the principle of self-generation of machining precision by explaining its basic conceptA self-generation system is a kind of system with self-organization capability.The self-generation of machining precision for solid balls with super precision is emphatically explainedNecessary conditions for achieving self-generation of machining precision are given.of errors, self-generation of precision, and self-generating system for the given.

Keywords： self-generation     necessary     self-regulation capability     viewpoint     Necessary    

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A review on technologies with electricity generation potentials using liquified natural gas regasification

Frontiers in Energy 2023, Volume 17, Issue 3,   Pages 332-379 doi: 10.1007/s11708-023-0863-y

Abstract: In modern times, worldwide requirements to curb greenhouse gas emissions, and increment in energy demand due to the progress of humanity, have become a serious concern. In such scenarios, the effective and efficient utilization of the liquified natural gas (LNG) regasification cold energy (RCE), in the economically and environmentally viable methods, could present a great opportunity in tackling the core issues related to global warming across the world. In this paper, the technologies that are widely used to harness the LNG RCE for electrical power have been reviewed. The systems incorporating, the Rankine cycles, Stirling engines, Kalina cycles, Brayton cycles, Allam cycles, and fuel cells have been considered. Additionally, the economic and environmental studies apart from the thermal studies have also been reviewed. Moreover, the discussion regarding the systems with respect to the regassification pressure of the LNG has also been provided. The aim of this paper is to provide guidelines for the prospective researchers and policy makers in their decision making.

Keywords： liquified natural gas     cold energy     power generation    

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Hybrid method integrating machine learning and particle swarm optimization for smart chemical process operations

Haoqin Fang, Jianzhao Zhou, Zhenyu Wang, Ziqi Qiu, Yihua Sun, Yue Lin, Ke Chen, Xiantai Zhou, Ming Pan

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2,   Pages 274-287 doi: 10.1007/s11705-021-2043-0

Abstract: Firstly, a data set was generated based on process mechanistic simulation validated by industrial datamethods achieved highly accurate model by adjusting model parameters on the basis of high-coverage data

Keywords： smart chemical process operations     data generation     hybrid method     machine learning     particle swarm optimization    

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A review of systematic evaluation and improvement in the big data environment

Feng YANG, Manman WANG

Frontiers of Engineering Management 2020, Volume 7, Issue 1,   Pages 27-46 doi: 10.1007/s42524-020-0092-6

Abstract: The era of big data brings unprecedented opportunities and challenges to management research.Exploring the applicable evaluation methods in the big data environment has become an important subjectpaper is to provide an overview and discussion of systematic evaluation and improvement in the big dataWe first review the evaluation methods based on the main analytic techniques of big data such as dataFocused on the characteristics of big data (association feature, data loss, data noise, and visualization

Keywords： big data     evaluation methods     systematic improvement     big data analytic techniques     data mining    

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Data quality assessment for studies investigating microplastics and nanoplastics in food products: Arecurrent data reliable?

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 8, doi: 10.1007/s11783-023-1694-0

Abstract:

● Data quality assessment criteria for MP/NPs in food products were

Keywords： Microplastic     Nanoplastic     Food products     Data quality     Human health risk    

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Blockchain application in healthcare service mode based on Health Data Bank

Jianxia GONG, Lindu ZHAO

Frontiers of Engineering Management 2020, Volume 7, Issue 4,   Pages 605-614 doi: 10.1007/s42524-020-0138-9

Abstract: To guarantee data privacy and data security as well as to harness the value of health data, the conceptof Health Data Bank (HDB) is proposed.In this study, HDB is defined as an integrated health data service institution, which bears no “ownership” of health data and operates health data under the principal–agent model.; (2) data rights; (3) health data supervision; (4) and willingness to share health data.

Keywords： Health Data Bank     blockchain     data assets     smart contract     incentive mechanism    

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Performance of a bi-layer solar steam generation system working at a high-temperature of top surface

Jinxin ZHONG, Congliang HUANG

Frontiers in Energy 2023, Volume 17, Issue 1,   Pages 141-148 doi: 10.1007/s11708-021-0725-4

Abstract: Many efforts have been focused on enhancing the vapor generation in bi-layer solar steam generation systemsstudied although the high-temperature vapor has a wide use in medical sterilization and electricity generation

Keywords： solar steam generation     solar energy     numerical method     porous material    

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Title Author Date Type Operation

Integrated approach to winery waste: waste generation and data consolidation

Margarida OLIVEIRA,Elizabeth DUARTE

Journal Article

Data-driven distribution network topology identification considering correlated generation power of distributed

Journal Article

Machine Learning and Data-Driven Techniques for the Control of Smart Power Generation Systems: An Uncertainty

Li Sun, Fengqi You

Journal Article

of Intelligent Manufacturing Technologies, Industries, and Application under the Guidance of a New-Generation

Li Bohu, Chai Xudong, Zhang Lin, Hou Baocun, Liu Yang

Journal Article

Information Science Should Take a Lead in Future Biomedical Research

Kenta Nakai

Journal Article

Next-Generation Database Benchmark for Financial Scenarios

Jing Yinan, Zhang Hanbing, Li Zhixin , Wang Xiaoyang , Wu Jie , Chai Hongfeng

Journal Article

Studies on advanced water-cooled reactors beyond generation III for power generation

CHENG Xu

Journal Article

Synthesis and photoconductivities of bisazo charge generation materials

ZHAO Qian, WANG Shirong, LI Xianggao, HE Lili

Journal Article

Self-generation of machining precision and its realization in lapping of super precision solid balls

ZHANG Bopeng

Journal Article

A review on technologies with electricity generation potentials using liquified natural gas regasification

Journal Article

Hybrid method integrating machine learning and particle swarm optimization for smart chemical process operations

Haoqin Fang, Jianzhao Zhou, Zhenyu Wang, Ziqi Qiu, Yihua Sun, Yue Lin, Ke Chen, Xiantai Zhou, Ming Pan

Journal Article

A review of systematic evaluation and improvement in the big data environment

Feng YANG, Manman WANG

Journal Article

Data quality assessment for studies investigating microplastics and nanoplastics in food products: Arecurrent data reliable?

Journal Article

Blockchain application in healthcare service mode based on Health Data Bank

Jianxia GONG, Lindu ZHAO

Journal Article

Performance of a bi-layer solar steam generation system working at a high-temperature of top surface

Jinxin ZHONG, Congliang HUANG

Journal Article