Resource Type

Journal Article 10

Year

2022 2

2018 2

2017 2

2015 1

2014 1

2013 1

2007 1

open ︾

Keywords

benefit maximization 2

meta-synthesis management 2

sustainable development 2

urban complex 2

Cache placement 1

Expectation-maximization (EM) algorithm 1

Extended Kalman filter 1

Extended Kalman smoothing 1

Fog radio access network 1

Game theory 1

Measurement bias 1

Non-linear state-space model 1

Non-orthogonal multiple access 1

Resource allocation 1

adaptive neural control 1

competitive electricity markets 1

development status 1

disruptive technology 1

efficient reduction 1

environmental monitoring 1

open ︾

Search scope:

排序: Display mode:

Performance analysis of two EM-based measurement bias estimation processes for tracking systems None

Zhi-hua LU, Meng-yao ZHU, Qing-wei YE, Yu ZHOU

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 9,   Pages 1151-1165 doi: 10.1631/FITEE.1800214

Abstract: We investigate the iterative bias estimation process based on the expectation-maximization (EM) algorithm

Keywords: Non-linear state-space model     Measurement bias     Extended Kalman filter     Extended Kalman smoothing     Expectation-maximization    

Analysis of inventory level under procurement constraints in supply chain

CHANG Guangshu

Frontiers of Mechanical Engineering 2007, Volume 2, Issue 3,   Pages 361-363 doi: 10.1007/s11465-007-0063-1

Abstract: the change of the inventory level with and without the procurement constraints is analyzed, and their expectation

Keywords: supply     efficient reduction     system     expectation     procurement    

Nodal, zonal, or uniform electricity pricing: how to deal with network congestion

Martin WEIBELZAHL

Frontiers in Energy 2017, Volume 11, Issue 2,   Pages 210-232 doi: 10.1007/s11708-017-0460-z

Abstract: In this paper, the main contributions to congestion management and electricity pricing, i.e., nodal, zonal, and uniform electricity pricing, are surveyed. The key electricity market concepts are structured and a formal model framework is proposed for electricity transportation, production, and consumption in the context of limited transmission networks and competitive, welfare maximizing electricity markets. In addition, the main results of existing short-run and long-run congestion management studies are explicitly summarized. In particular, the important interconnection between short-run network management approaches and optimal long-run investments in both generation facilities and network lines are highlighted.

Keywords: nodal pricing     zonal pricing     uniform pricing     competitive electricity markets     welfare maximization     redispatch    

New practice in semaglutide on type-2 diabetes and obesity: clinical evidence and expectation

Frontiers of Medicine 2022, Volume 16, Issue 1,   Pages 17-24 doi: 10.1007/s11684-021-0873-2

Abstract: Obesity is an important risk factor of type 2 diabetes (T2D), which has become an important factor threatening human health. However, no perfect drug choice for obesity exists. Semaglutide is a kind of human glucagon-like peptide-1 (GLP-1) analog that promotes insulin secretion while inhibiting glucagon secretion through a glucose concentration-dependent mechanism. GLP-1 can also delay stomach emptying and suppress appetite to help lose weight. This review summarizes clinical evidence of the semaglutide effect on T2D and obesity and establishes expectations on future clinical trials for obesity treatment.

Keywords: semaglutide     type 2 diabetes     obesity    

Power maximization of variable-speed variable-pitch wind turbines using passive adaptive neural fault

Hamed HABIBI, Hamed RAHIMI NOHOOJI, Ian HOWARD

Frontiers of Mechanical Engineering 2017, Volume 12, Issue 3,   Pages 377-388 doi: 10.1007/s11465-017-0431-4

Abstract:

Power maximization has always been a practical consideration in wind turbines.

Keywords: wind turbine nonlinear model     maximum power tracking     passive fault tolerant control     adaptive neural control    

Development and Prospects of Disruptive Technologies in Environmental Monitoring

Liu Jianguo, Meng Deshuo, Gui Huaqiao, Yin Gaofang, Zhang Fu, Zhang Shu, Zhang Hongzhen, Wang Jinnan

Strategic Study of CAE 2018, Volume 20, Issue 6,   Pages 50-56 doi: 10.15302/J-SSCAE-2018.06.008

Abstract:

Environmental monitoring technology is an important foundation for supporting and ensuring environmental management. Analyzing and predicting the development trend of disruptive technologies in environmental monitoring is helpful to accelerate China's ecological civilization construction and environmental protection. This paper combines literature measurement and patent intelligence analysis methods to comprehensively analyze and evaluate the history and latest situation of disruptive technologies in environmental monitoring in China and abroad. According to the major demand for environmental monitoring technology by China's environment protection development, this paper puts forward the multi-media environment and ecosystem sensing technology based on big data fusion, micro-intelligent environmental element sensing technology based on new materials and devices, fast online monitoring technology for environmental trace pollutants based on spectral mass spectrometry, and high-resolution remote sensing technology based on satellite remote sensing for regional/global ecological environment elements, so as to provide a decision-making basis for China's environmental management and development planning of its environmental protection industry.

Keywords: environmental monitoring     disruptive technology     development status     future expectation    

Research and Practice of Meta-synthesis Management for the Government-led Urban Complex Construction Project

Ru-gui Chen,Jia-meng Chen

Frontiers of Engineering Management 2014, Volume 1, Issue 1,   Pages 52-61 doi: 10.15302/J-FEM-2014008

Abstract: construction projects based on the perspective of sustainable urban development.In order to achieve benefit maximization

Keywords: government-led construction project     urban complex     meta-synthesis management     sustainable development     benefit maximization    

Variable eccentric distance-based tool path generation for orthogonal turn-milling

Fangyu PENG,Wei WANG,Rong YAN,Xianyin DUAN,Bin LI

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 4,   Pages 352-366 doi: 10.1007/s11465-015-0361-y

Abstract:

This study proposes an algorithm for maximizing strip width in orthogonal turn-milling based on variable eccentric distance. The machining error model is first established based on the local cutting profile at the contact line. The influencing factors of the strip width are then investigated to analyze their features and determine an optimizing strategy. The optimized model for maximum machining strip width is formulated by adopting a variable eccentric distance. Hausdorff distance and Fréchet distance are introduced in this study to implement the constraint function of the machining error in the optimized model. The computing procedure is subsequently provided. Simulations and experiments have been conducted to verify the effectiveness of the proposed algorithm.

Keywords: orthogonal turn-milling     variable eccentric distance     local cutting profile     machining strip-width maximization    

Resource allocation for network profit maximization in NOMA-based F-RANs: a game-theoretic approach Research Article

Xueyan CAO, Shi YAN, Hongming ZHANG

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 10,   Pages 1546-1561 doi: 10.1631/FITEE.2100341

Abstract:

(NOMA) based s (F-RANs) offer high spectrum efficiency, ultra-low delay, and huge network throughput, and this is made possible by edge computing and communication functions of the fog access points (F-APs). Meanwhile, caching-enabled F-APs are responsible for edge caching and delivery of a large volume of multimedia files during the caching phase, which facilitates further reduction in the transmission energy and burden. The need of the prevailing situation in industry is that in NOMA-based F-RANs, energy-efficient , which consists of (CP) and radio (RRA), is crucial for network performance enhancement. To this end, in this paper, we first characterize an NOMA-based F-RAN in which F-APs of caching capabilities underlaid with the radio remote heads serve user equipments via the NOMA protocol. Then, we formulate a problem for maximizing the defined performance indicator, namely network profit, which takes caching cost, revenue, and energy efficiency into consideration. The NP-hard problem is decomposed into two sub-problems, namely the CP sub-problem and RRA sub-problem. Finally, we propose an iterative method and a Stackelberg game based method to solve them, and numerical results show that the proposed solution can significantly improve network profit compared to some existing schemes in NOMA-based F-RANs.

Keywords: Fog radio access network     Non-orthogonal multiple access     Game theory     Cache placement     Resource allocation    

Research and practice on meta-synthesis management for the government-oriented urban complex construction project

Chen Rugui,Chen Jiameng

Strategic Study of CAE 2013, Volume 15, Issue 11,   Pages 53-61

Abstract: In order to achieve benefit maximization,the meta-synthesis management for the government-oriented urban

Keywords: government-oriented construction project     urban complex     meta-synthesis management     sustainable development     benefit maximization    

Title Author Date Type Operation

Performance analysis of two EM-based measurement bias estimation processes for tracking systems

Zhi-hua LU, Meng-yao ZHU, Qing-wei YE, Yu ZHOU

Journal Article

Analysis of inventory level under procurement constraints in supply chain

CHANG Guangshu

Journal Article

Nodal, zonal, or uniform electricity pricing: how to deal with network congestion

Martin WEIBELZAHL

Journal Article

New practice in semaglutide on type-2 diabetes and obesity: clinical evidence and expectation

Journal Article

Power maximization of variable-speed variable-pitch wind turbines using passive adaptive neural fault

Hamed HABIBI, Hamed RAHIMI NOHOOJI, Ian HOWARD

Journal Article

Development and Prospects of Disruptive Technologies in Environmental Monitoring

Liu Jianguo, Meng Deshuo, Gui Huaqiao, Yin Gaofang, Zhang Fu, Zhang Shu, Zhang Hongzhen, Wang Jinnan

Journal Article

Research and Practice of Meta-synthesis Management for the Government-led Urban Complex Construction Project

Ru-gui Chen,Jia-meng Chen

Journal Article

Variable eccentric distance-based tool path generation for orthogonal turn-milling

Fangyu PENG,Wei WANG,Rong YAN,Xianyin DUAN,Bin LI

Journal Article

Resource allocation for network profit maximization in NOMA-based F-RANs: a game-theoretic approach

Xueyan CAO, Shi YAN, Hongming ZHANG

Journal Article

Research and practice on meta-synthesis management for the government-oriented urban complex construction project

Chen Rugui,Chen Jiameng

Journal Article