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| 1 | 多土壤信息测量传感器的硬件系统集成设计(英文)显示文摘土壤在作物的生长过程中起到了重要的作用,所以对于基于决策的作物生产管理,土壤信息是必需的。传统的土壤取样获取土壤信息技术耗时且成本高,尤其是对于大规模农田土壤信息测量。目前一些近地面的可连续测量的土壤信息传感器技术能够提供高精度的数字土壤信息地图,然而这些商业化的技术成熟的传感器通常需要单独使用。该文提出了将γ射线光谱仪GR320、利用电磁感应原理的EM38和EM31以及Veris3100和VerispH这些可在农田近地面连续测量的土壤特性测试传感仪器集成在一起同时使用的方案,介绍了此集成系统的硬件设备和相关特性参数以及今后需要继续研究解决的问题。利用该系统可一次获得不同的土壤特性参数数据,如土壤矿物质含量,不同深度的土壤电导率值和土壤pH值等,可避免多次测量车辆行走对土壤的压实。多传感器数据之间的互相补充可以进一步提高且更有利于精确农业中基于土壤信息的决策规划。该系统适用于大面积农田土壤特性测量。 | 马瑞峻 Michael Short Craig Lobsey Alex McBramey Brett Whelan Budiman Minasny 孙光永 | 2010 | 农业工程学报2010，26，4： | 3 |
| 2 | An in vivo Comparison of Intestinal pH and Bacteria as Physiological Trigger Mechanisms for Colonic Targeting in Man显示文摘 | Emma L McConnell a Michael D Short Abdul W Basit | 2008 | Journal of Controlled Release2008，130，： | 1 |
| 3 | Second Language Acquisition of Gender Agreement in Explicit and Implicit Training Conditions: An Event‐Related Potential Study显示文摘 | KaraMorgan‐Short CristinaSanz KarstenSteinhauer Michael T.Ullman | 2010 | Language Learning2010，，1： | 1 |
| 4 | A Streamlined Sustainabili-ty Assessment Tool for Improved Decision Making in the Urban Water Industry 显示文摘 | Matthias Schulz Michael D Short Gregory M Petersy | 2012 | Integrated Environmental Assessment and Management Integr Environ Assess Manag2012，8，： | 1 |
| 5 | Development of Automatic Transmission Control System Using Hardware-in-the-loop Simulation System显示文摘 | Michael Short Michael J Pont | 2008 | Journal of Systems and Software2008，81，7： | 1 |
| 6 | Insomnia and its symptoms in adolescents:comparing DSM-IV and ICSD-II diagnostic criteria显示文摘 | Hayley D Michael G Short M A | 2012 | Journal of Clinical Sleep Medicine Jcsm Official Publication of the American Academy of Sleep Medicine2012，8，3： | 1 |
| 7 | Measuring biomass and carbon in Delaware using an airborne profiling Lidar显示文摘 | Ross Nelson Austin Short Michael Valenti | | 0，，： | 1 |
| 8 | A Prospective Randomized Comparison of Ultrasound and Neurostimulation as Needle End Points for Interscalene Catheter Placement显示文摘 | Michael J. Fredrickson Craig M. Ball Adam J. Dalgleish Alistair W. Stewart Tim G. Short | 2009 | Anesthesia & Analgesia2009，，： | 1 |
| 9 | Assessment of high-integrity embedded automotive control systems using hardware in the loop simulation显示文摘 | Short Michael Pont Michael J | 2008 | The Journal of Systems and Software2008，81，7： | 1 |
| 10 | Electricity demand forecasting for decentralised energy management显示文摘The world is experiencing a fourth industrial revolution.Rapid development of technologies is advancing smart infrastructure opportunities.Experts observe decarbonisation,digitalisation and decentralisation as the main drivers for change.In electrical power systems a downturn of centralised conventional fossil fuel fired power plants and increased proportion of distributed power generation adds to the already troublesome outlook for op-erators of low-inertia energy systems.In the absence of reliable real-time demand forecasting measures,effective decentralised demand-side energy planning is often problematic.In this work we formulate a simple yet highly effective lumped model for forecasting the rate at which electricity is consumed.The methodology presented focuses on the potential adoption by a regional electricity network operator with inadequate real-time energy data who requires knowledge of the wider aggregated future rate of energy consumption.Thus,contributing to a reduction in the demand of state-owned generation power plants.The forecasting session is constructed initially through analysis of a chronological sequence of discrete observations.Historical demand data shows behaviour that allows the use of dimensionality reduction techniques.Combined with piecewise interpolation an electricity demand forecasting methodology is formulated.Solutions of short-term forecasting problems provide credible predictions for energy demand.Calculations for medium-term forecasts that extend beyond 6-months are also very promising.The forecasting method provides a way to advance a novel decentralised informatics,optimisa-tion and control framework for small island power systems or distributed grid-edge systems as part of an evolving demand response service. | Sean Williams Michael Short | 2020 | Energy and Built Environment2020，1，2： | 0 |
| 11 | RAMAN SPECTROSCOPY FOR IN VIVO TISSUE ANALYSIS AND DIAGNOSIS,FROM INSTRUMENT DEVELOPMENT TO CLINICAL APPLICATIONS显示文摘Raman spectroscopy is a noninvasive,nondestructive analytical method capable of determining the biochemical constituents based on molecular vibrations.It does not require sample preparation or pretreatment.However,the use of Raman spectroscopy for in vivo clinical applications will depend on the feasibility of measuring Raman spectra in a relatively short time period(a few seconds).In this work,a fast dispersive-type nearinfrared(NIR)Raman spectroscopy system and a skin Raman probe were developed to facilitate real-time,noninvasive,in vivo human skin measurements.Spectrograph image aberration was corrected by a parabolic-line fiber array,permitting complete CCD vertical binning,thereby yielding a 16-fold improvement in signal-to-noise ratio.Good quality in vivo skin NIR Raman spectra free of interference from fiber fluorescence and silica Raman scattering can be acquired within one second,which greatly facilitates practical noninvasive tissue characterization and clinical diagnosis.Currently,we are conducting a large clinical study of various skin diseases in order to develop Raman spectroscopy into a useful tool for non-invasive skin cancer detection.Intermediate data analysis results are presented.Recently,we have also successfully developed a technically more challenging endoscopic Laser-Raman probe for early lung cancer detection.Preliminary in vivo results from endoscopic lung Raman measurements are discussed. | HAISHAN ZENG JIANHUA ZHAO MICHAEL SHORT DAVID I.MCLEAN STEPHEN LAM ANNETTE MCWILLIAMS HARVEY LUI | 2008 | Journal of Innovative Optical Health Sciences2008，1，1： | 0 |
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