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The role of EcoCampus in addressing sustainability in UK universities

Peter REDFERN, Hua ZHONG

Frontiers of Engineering Management 2017, Volume 4, Issue 2,   Pages 193-200 doi: 10.15302/J-FEM-2017038

Abstract: Universities in the United Kingdom (UK) are themselves large and influential organisations, and becauseIn the UK, higher education (HE) sector Scopes 1 and 2 carbon CO e emissions have, over recent years,(This is an independent league table of UK universities ranked by environmental and ethical performanceThe aim of this research was to assess the carbon management performance of universities in the UK andDuring this time, EcoCampus has worked with over 60 universities and colleges in the UK.

Keywords： EcoCampus     environmental management     sustainable development     carbon management    

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Agriculture Green Development in China and the UK: common objectives and converging policy pathways

Yuelai LU, David NORSE, David POWLSON

Frontiers of Agricultural Science and Engineering 2020, Volume 7, Issue 1,   Pages 98-105 doi: 10.15302/J-FASE-2019298

Abstract: examine how the negative environmental consequences of intensive agriculture have driven China and the UKThe intensification of agricultural production in the UK started several decades earlier than in Chinaare set out in two main documents: the Chinese State Council guidelines for green agriculture and the UK

Keywords： Agriculture Green Development     China     policy     UK    

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PROGRESS ON IMPROVING AGRICULTURAL NITROGEN USE EFFICIENCY: UK-CHINA VIRTUAL JOINT CENTERS ON NITROGEN

Frontiers of Agricultural Science and Engineering 2022, Volume 9, Issue 3,   Pages 475-489 doi: 10.15302/J-FASE-2022459

Abstract:

● Virtual joint centers on N agronomy were established between UK and

Keywords： CINAg     N-CIRCLE     nitrogen use efficiency     reactive nitrogen     sustainable production    

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Growing collaborations between Chinese and UK young scholars on chemical science and technology

Weiping Wu, Xiaolei Fan, Yongliang Li, Ruijiao Dong

Frontiers of Chemical Science and Engineering 2021, Volume 15, Issue 1,   Pages 1-3 doi: 10.1007/s11705-020-2027-5

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Understanding high-emitting households in the UK through a cluster analysis

Xinfang WANG, Ming MENG

Frontiers in Energy 2019, Volume 13, Issue 4,   Pages 612-625 doi: 10.1007/s11708-019-0647-6

Abstract: This paper focuses on high emitters and their CO emissions from energy use in UK homes.The data are mainly based on the Living Cost and Food survey in the UK.

Keywords： cluster analysis     emissions reduction     energy use     high emitters     household energy consumption     socioeconomic factors    

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A comparative review of the state and advancement of Site-Specific Crop Management in the UK and China

Zhenhong LI, James TAYLOR, Lynn FREWER, Chunjiang ZHAO, Guijun YANG, Zhenhai LI, Zhigang LIU, Rachel GAULTON, Daniel WICKS, Hugh MORTIMER, Xiao CHENG, Chaoqing YU, Zhanyi SUN

Frontiers of Agricultural Science and Engineering 2019, Volume 6, Issue 2,   Pages 116-136 doi: 10.15302/J-FASE-2018240

Abstract: current situation of SSCM adoption and application is investigated from the perspective of a developed (UKwith observations on the differences between the use of SSCM technologies and methodologies in the UK

Keywords： remote sensing     decision support     responsible research and innovation     digital soil mapping    

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Survey on Technology Management and Development of Renewable Energy in the United Kingdom in 2000

Wu Libin,Wang Xintai

Strategic Study of Chinese Academy of Engineering 2001, Volume 3, Issue 6,   Pages 89-92

Abstract: The content of the survey involved： the general introduction of renewable energy in UK; investment andfinancing of renewable energy in UK and Sino — British cooperation; the development of BritishSome academic issues on the study of the field of renewable energy in UK and other European Union (EU

Keywords： United Kingdom (UK)     renewable energy     technical development     technical management    

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Energy-efficient trajectory planning for a multi-UAV-assisted mobile edge computing system

Pei-qiu Huang, Yong Wang, Ke-zhi Wang,pqhuang@csu.edu.cn,ywang@csu.edu.cn,kezhi.wang@northumbria.ac.uk

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 12,   Pages 1671-1814 doi: 10.1631/FITEE.2000315

Abstract: We study a system assisted by (UAVs), where the UAVs act as edge servers to provide computing services for Internet of Things devices. Our goal is to minimize the energy consumption of this system by planning the trajectories of UAVs. This problem is difficult to address because when planning the trajectories, we need to consider not only the order of stop points (SPs), but also their deployment (including the number and locations) and the association between UAVs and SPs. To tackle this problem, we present an energy-efficient algorithm (TPA) which comprises three phases. In the first phase, a algorithm with a variable population size is adopted to update the number and locations of SPs at the same time. In the second phase, the
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Properties of a general quaternion-valued gradient operator and its applications to signal processing

Meng-di Jiang, Yi Li, Wei Liu,w.liu@sheffield.ac.uk

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 2,   Pages 83-95 doi: 10.1631/FITEE.1500334

Abstract: The gradients of a -valued function are often required for ic algorithms. The HR provides a viable framework and has found a number of applications. However, the applications so far have been limited to mainly real-valued functions and linear -valued functions. To generalize the operator to nonlinear functions, we define a restricted version of the HR operator, which comes in two versions, the left and the right ones. We then present a detailed analysis of the properties of the operators, including several different product rules and chain rules. Using the new rules, we derive explicit expressions for the derivatives of a class of regular nonlinear -valued functions, and prove that the restricted HR gradients are consistent with the gradients in the real domain. As an application, the derivation of the least mean square algorithm and a nonlinear adaptive algorithm is provided. Simulation results based on vector sensor arrays are presented as an example to demonstrate the effectiveness of the -valued signal model and the derived algorithm.

Keywords： Quaternion     Gradient operator     Signal processing     Least mean square (LMS) algorithm     Nonlinear adaptive filtering     Adaptive beamforming    

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第7届中英国际颗粒论坛 (UK–China International Particle Technology Forum VII)

Conference Date: 28 Jul 2019

Conference Place: 英国/苏格兰/爱丁堡

Administered by: 英国化学工程学会，中国颗粒学会

EDVAM: a 3D eye-tracking dataset for visual attention modeling in a virtual museum Research Article

ZHOU, Tian FENG, Shihui SHUAI, Xiangdong LI, Lingyun SUN, Henry Been-Lirn DUH,yunzhan.zhou@durham.ac.uk

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 1,   Pages 101-112 doi: 10.1631/FITEE.2000318

Abstract: Predicting facilitates an adaptive virtual museum environment and provides a context-aware and interactive user experience. Explorations toward development of a mechanism using eye-tracking data have so far been limited to 2D cases, and researchers are yet to approach this topic in a 3D virtual environment and from a spatiotemporal perspective. We present the first 3D Eye-tracking Dataset for modeling in a virtual Museum, known as the EDVAM. In addition, a model is devised and tested with the EDVAM to predict a user's subsequent from previous eye movements. This work provides a reference for modeling and context-aware interaction in the context of .

Keywords： Visual attention     Virtual museums     Eye-tracking datasets     Gaze detection     Deep learning    

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Ultra-low-power backscatter-based software-defined radio for intelligent and simplified IoT network Research Article

feixiao@hust.edu.cn,isaacllh@hotmail.com,fengxiang@alumni.hust.edu.cn,weiwangw@hust.edu.cn,j.he@essex.ac.uk

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 1,   Pages 19-30 doi: 10.1631/FITEE.2100321

Abstract: The recent decade has witnessed an upsurge in the demands of intelligent and simplified Internet of Things (IoT) networks that provide ultra-low-power communication for numerous miniaturized devices. Although the research community has paid great attention to wireless protocol designs for these networks, researchers are handicapped by the lack of an energy-efficient software-defined radio (SDR) platform for fast implementation and experimental evaluation. Current SDRs perform well in battery-equipped systems, but fail to support miniaturized IoT devices with stringent hardware and power constraints. This paper takes the first step toward designing an that satisfies the ultra-low-power or even battery-free requirements of intelligent and simplified . To achieve this goal, the core technique is the effective integration of μW-level in our SDR to sidestep power-hungry active radio frequency chains. We carefully develop a novel circuit design for efficient energy harvesting and power control, and devise a competent solution for eliminating the harmonic and mirror frequencies caused by hardware. We evaluate the proposed SDR using different modulation schemes, and it achieves a high data rate of 100 kb/s with power consumption less than 200 μW in the active mode and as low as 10 μW in the sleep mode. We also conduct a case study of railway inspection using our platform, achieving 1 kb/s battery-free data delivery to the monitoring unmanned aerial vehicle at a distance of 50 m in a real-world environment, and provide two case studies on smart factories and logistic distribution to explore the application of our platform.

Keywords： Backscatter     Ultra-low-power SDR     IoT networks    

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Title Author Date Type Operation

The role of EcoCampus in addressing sustainability in UK universities

Peter REDFERN, Hua ZHONG

Journal Article

Agriculture Green Development in China and the UK: common objectives and converging policy pathways

Yuelai LU, David NORSE, David POWLSON

Journal Article

PROGRESS ON IMPROVING AGRICULTURAL NITROGEN USE EFFICIENCY: UK-CHINA VIRTUAL JOINT CENTERS ON NITROGEN

Journal Article

Growing collaborations between Chinese and UK young scholars on chemical science and technology

Weiping Wu, Xiaolei Fan, Yongliang Li, Ruijiao Dong

Journal Article

Understanding high-emitting households in the UK through a cluster analysis

Xinfang WANG, Ming MENG

Journal Article

A comparative review of the state and advancement of Site-Specific Crop Management in the UK and China

Zhenhong LI, James TAYLOR, Lynn FREWER, Chunjiang ZHAO, Guijun YANG, Zhenhai LI, Zhigang LIU, Rachel GAULTON, Daniel WICKS, Hugh MORTIMER, Xiao CHENG, Chaoqing YU, Zhanyi SUN

Journal Article

Survey on Technology Management and Development of Renewable Energy in the United Kingdom in 2000

Wu Libin,Wang Xintai

Journal Article

Energy-efficient trajectory planning for a multi-UAV-assisted mobile edge computing system

Pei-qiu Huang, Yong Wang, Ke-zhi Wang,pqhuang@csu.edu.cn,ywang@csu.edu.cn,kezhi.wang@northumbria.ac.uk

Journal Article

Properties of a general quaternion-valued gradient operator and its applications to signal processing

Meng-di Jiang, Yi Li, Wei Liu,w.liu@sheffield.ac.uk

Journal Article

第7届中英国际颗粒论坛 (UK–China International Particle Technology Forum VII)

28 Jul 2019

Conference Information

EDVAM: a 3D eye-tracking dataset for visual attention modeling in a virtual museum

ZHOU, Tian FENG, Shihui SHUAI, Xiangdong LI, Lingyun SUN, Henry Been-Lirn DUH,yunzhan.zhou@durham.ac.uk

Journal Article

Ultra-low-power backscatter-based software-defined radio for intelligent and simplified IoT network

feixiao@hust.edu.cn,isaacllh@hotmail.com,fengxiang@alumni.hust.edu.cn,weiwangw@hust.edu.cn,j.he@essex.ac.uk

Journal Article

Falconer: Tidal Renewable Energy in a Large UK Macro-Tidal Estuary: Challenges and Opportunities (2019

Roger A. Falconer(院士)

20 Jan 2021

Conference Videos