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Special issue on “Molecular Sensors and Molecular Logic Gates”

Luling Wu , Tony D. James

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 1,   Pages 1-3 doi: 10.1007/s11705-021-2134-y

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High resolution satellite imaging sensors for precision agriculture

Chenghai YANG

Frontiers of Agricultural Science and Engineering 2018, Volume 5, Issue 4,   Pages 393-405 doi: 10.15302/J-FASE-2018226

Abstract: Various types of remote sensors carried on ground-based platforms, manned aircraft, satellites, and moreRecent developments in high resolution satellite sensors have significantly narrowed the gap in spatialThis article will provide an overview of commercially available high resolution satellite sensors thatSome challenges and future directions on the use of high resolution satellite sensors and other typesof remote sensors for precision agriculture are discussed.

Keywords： high resolution satellite sensor     multispectral imagery     precision agriculture     spatial resolution     temporal resolution    

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Modeling and analysis of controllable output property of cantilever-beam inertial sensors based on magnetic

Guixiong LIU, Peiqiang ZHANG, Chen XU

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 2,   Pages 129-133 doi: 10.1007/s11465-009-0035-8

Abstract: cantilever-beam and the novel controllable mag-viscosity of magnetic fluid, the output of cantilever-beam sensorsis under control so that the controllable output of the sensors can be realized.The mathematical model of the sensors is established and analyzed.The result shows that it is valid to realize the controllable output of the sensors by controlling the

Keywords： sensors     magnetic fluid     property of mag-viscosity     controllable output    

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Soft curvature sensors for measuring the rotational angles of mechanical fingers

Haixiao LIU, Li LI, Zhikang OUYANG, Wei SUN

Frontiers of Mechanical Engineering 2020, Volume 15, Issue 4,   Pages 610-621 doi: 10.1007/s11465-020-0596-0

Abstract: The design, fabrication, and testing of soft sensors that measure elastomer curvature and mechanicalThe base of the soft sensors is polydimethylsiloxane (PDMS), which is a translucent elastomer.The main body of the soft sensors consists of three layers of silicone rubber plate, and the sensingFirst, the working principle of soft sensors is investigated, and their structure is designed.Lastly, the soft sensors are applied to the measurement of mechanical finger bending.

Keywords： soft sensor     Ga-In-Sn alloy     strain sensing     curvature sensing     mechanical finger bending    

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MEMS-based thermoelectric infrared sensors: A review

Dehui XU, Yuelin WANG, Bin XIONG, Tie LI

Frontiers of Mechanical Engineering 2017, Volume 12, Issue 4,   Pages 557-566 doi: 10.1007/s11465-017-0441-2

Abstract:

In the past decade, micro-electromechanical systems (MEMS)-based thermoelectric infrared (IR) sensorsThis paper presents a review of MEMS-based thermoelectric IR sensors.sensing materials, thermal isolation microstructures, absorber designs, and packaging methods for these sensors

Keywords： thermoelectric infrared sensor     CMOS-MEMS     thermopile     micromachining     wafer-level package    

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Situational Awareness in Construction and Facility Management

Burcu Akinci

Frontiers of Engineering Management 2014, Volume 1, Issue 3,   Pages 283-289 doi: 10.15302/J-FEM-2014037

Abstract: Engineers and managers involved in construction and facility/infrastructure operations need situational awareness about the as-is conditions when making daily decisions and developing short- and long-term plans. Yet, currently situational awareness of engineers is often challenged due to missing data and the available data not being in a format that is easily accessible and actionable. Advances in reality capture technologies, such as 3-dimensional (3D) imaging, in-situ sensing, equipment on-board instrumentation and electronic tagging, streamline the capturing of the as-is conditions on job sites. The data collected from these technologies, integrated with building information models depicting the as-planned conditions, can help in creating and storing the history of as-is conditions of a facility to support a variety of decisions that engineers and managers need to make. While the opportunities associated with integrating building information models and data capture technologies are compelling, several challenges need to be addressed through research for effective usage of these technologies. Such challenges include assessing the accuracy of the data collected at the field, developing and evaluating data processing and data fusion approaches, formalizing integrated representation of building information models and sensor and other relevant data, and investigating and developing approaches for analyzing and visualizing such integrated information models. This paper provides examples of recent research studies done at the Civil and Environmental Engineering Department at Carnegie Mellon University that demonstrate opportunities associated with integrating building information models and sensor information for facility operations.

Keywords： building information models (BIM)     sensors     facility operations and management     construction management    

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Data-driven soft sensors in blast furnace ironmaking: a survey Review Article

Yueyang LUO, Xinmin ZHANG, Manabu KANO, Long DENG, Chunjie YANG, Zhihuan SONG

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 3,   Pages 327-354 doi: 10.1631/FITEE.2200366

Abstract: The is a highly energy-intensive, highly polluting, and extremely complex reactor in the . are a key technology for predicting molten iron quality indices reflecting energy consumption and operation stability, and play an important role in saving energy, reducing emissions, improving product quality, and producing economic benefits. With the advancement of the Internet of Things, big data, and artificial intelligence, data-driven in es have attracted increasing attention from researchers, but there has been no systematic review of the data-driven in the . This review covers the state-of-the-art studies of data-driven technologies in the . Specifically, we first conduct a comprehensive overview of various data-driven soft sensor modeling methods (multiscale methods, adaptive methods, , etc.) used in ironmaking. Second, the important applications of data-driven in ironmaking (silicon content, molten iron temperature, gas utilization rate, etc.) are classified. Finally, the potential challenges and future development trends of data-driven in ironmaking applications are discussed, including digital twin, multi-source data fusion, and carbon peaking and carbon neutrality.

Keywords： Soft sensors     Data-driven modeling     Machine learning     Deep learning     Blast furnace     Ironmaking process    

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Key point selection in large-scale FBG temperature sensors for thermal error modeling of heavy-duty CNC

Jianmin HU, Zude ZHOU, Quan LIU, Ping LOU, Junwei YAN, Ruiya LI

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 4,   Pages 442-451 doi: 10.1007/s11465-019-0543-0

Abstract: and medium-sized CNC machine tools, heavy-duty CNC machine tools require the use of more temperature sensorsNovel temperature sensors based on fiber Bragg grating (FBG) are developed in this study.A total of 128 FBG temperature sensors that are connected in series through a thin optical fiber areKey TMPs are selected using these large-scale FBG temperature sensors by using the density-based spatial

Keywords： thermal error     heavy-duty CNC machine tools     FBG     key TMPs     prediction model    

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Rapid thermal sensors with high resolution based on an adaptive dual-comb system Special Feature on Precision Measurement and Inst

Yi-zheng GUO, Ming YAN, Qiang HAO, Kang-wen YANG, Xu-ling SHEN, He-ping ZENG

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 5,   Pages 674-684 doi: 10.1631/FITEE.1800347

Abstract:

We report a high-resolution rapid thermal sensing based on adaptive dual comb spectroscopy interrogated with a phase-shifted fiber Bragg grating (PFBG). In comparison with traditional dual-comb systems, adaptive dual-comb spectroscopy is extremely simplified by removing the requirement of strict phase-locking feedback loops from the dual-comb configuration. Instead, two free-running fiber lasers are adopted as the light sources. Because of good compensation of fast instabilities with adaptive techniques, the optical response of the PFBG is precisely characterized through a fast Fourier transform of the interferograms in the time domain. Single-shot acquisition can be accomplished rapidly within tens of milliseconds at a spectral resolution of 0.1 pm, corresponding to a thermal measurement resolution of 0.01 °C. The optical spectral bandwidth of the measurement also exceeds 14 nm, which indicates a large dynamic temperature range. It shows great potential for thermal sensing in practical outdoor applications with a loose self-control scheme in the adaptive dual-comb system.

Keywords： Interferometers     Fiber sensors     Laser spectroscopy    

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4-Amino-1,8-naphthalimide based fluorescent photoinduced electron transfer (PET) pH sensors as liposomal

Miguel Martínez-Calvo, Sandra A. Bright, Emma B. Veale, Adam F. Henwood, D. Clive Williams, Thorfinnur Gunnlaugsson

Frontiers of Chemical Science and Engineering 2020, Volume 14, Issue 1,   Pages 61-75 doi: 10.1007/s11705-019-1862-8

Abstract: Four new fluorescent sensors ( - ) based on the 4-amino-1,8-naphthalimide fluorophores ( ) have been

Keywords： sensors     pH     photoinduced electron transfer     cellular imaging     confocal microscopy    

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Perspectives of Individual-Worn Sensors Assessing Personal Environmental Exposure

Uwe Schlink, Maximilian Ueberham

Engineering 2021, Volume 7, Issue 3,   Pages 285-289 doi: 10.1016/j.eng.2020.07.023

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A Causal Model-Inspired Automatic Feature-Selection Method for Developing Data-Driven Soft Sensors in Article

Yan-Ning Sun,Wei Qin,Jin-Hua Hu,Hong-Wei Xu,Poly Z.H. Sun

Engineering 2023, Volume 22, Issue 3,   Pages 82-93 doi: 10.1016/j.eng.2022.06.019

Abstract: Many researchers have developed data-driven soft sensors using cutting-edge machine learning (ML) ordataset is usually high-dimensional, and not all features are conducive to the development of soft sensorsFinally, the constructed subset is used to develop soft sensors for the KPIs by means of an AdaBoostmethod can also be applied to other industrial processes to help develop more advanced data-driven soft sensors

Keywords： Big data analytics     Machine intelligence     Quality prediction     Soft sensors     Intelligent manufacturing    

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Structural health monitoring with fiber optic sensors

F. ANSARI

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 2,   Pages 103-110 doi: 10.1007/s11465-009-0032-y

Abstract: Optical fiber sensors have been successfully implemented in aeronautics, mechanical systems, and medicalprinciples pertaining to practical health monitoring of civil engineering structures with optical fiber sensorssensor packaging, sensor placement in construction environment, and reliability and survivability of the sensors

Keywords： Bridges     structural health monitoring     smart skins     cracks     strains     displacements     fiber optic sensors     FBG    

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IEEE SENSORS 2019

Conference Date: 27 Oct 2019

Conference Place: 加拿大/蒙特利尔

Administered by: Institute of Electrical and Electronics Engineers

Development of an experimental platform for research in energy and electrical machine control

Ali HMIDET, Rachid DHIFAOUI, Driss SAIDANI, Othman HASNAOUI,

Frontiers in Energy 2010, Volume 4, Issue 3,   Pages 366-375 doi: 10.1007/s11708-010-0106-x

Abstract: This paper focuses on mounting low-cost sensors and developing reliable scientific results.Maps and interesting details of some realized sensors are also presented.

Keywords： test bench     induction motor     solar energy     wind energy     AC/DC/AC converter     sensors and power measurements    

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Title Author Date Type Operation

Special issue on “Molecular Sensors and Molecular Logic Gates”

Luling Wu , Tony D. James

Journal Article

High resolution satellite imaging sensors for precision agriculture

Chenghai YANG

Journal Article

Modeling and analysis of controllable output property of cantilever-beam inertial sensors based on magnetic

Guixiong LIU, Peiqiang ZHANG, Chen XU

Journal Article

Soft curvature sensors for measuring the rotational angles of mechanical fingers

Haixiao LIU, Li LI, Zhikang OUYANG, Wei SUN

Journal Article

MEMS-based thermoelectric infrared sensors: A review

Dehui XU, Yuelin WANG, Bin XIONG, Tie LI

Journal Article

Situational Awareness in Construction and Facility Management

Burcu Akinci

Journal Article

Data-driven soft sensors in blast furnace ironmaking: a survey

Yueyang LUO, Xinmin ZHANG, Manabu KANO, Long DENG, Chunjie YANG, Zhihuan SONG

Journal Article

Key point selection in large-scale FBG temperature sensors for thermal error modeling of heavy-duty CNC

Jianmin HU, Zude ZHOU, Quan LIU, Ping LOU, Junwei YAN, Ruiya LI

Journal Article

Rapid thermal sensors with high resolution based on an adaptive dual-comb system

Yi-zheng GUO, Ming YAN, Qiang HAO, Kang-wen YANG, Xu-ling SHEN, He-ping ZENG

Journal Article

4-Amino-1,8-naphthalimide based fluorescent photoinduced electron transfer (PET) pH sensors as liposomal

Miguel Martínez-Calvo, Sandra A. Bright, Emma B. Veale, Adam F. Henwood, D. Clive Williams, Thorfinnur Gunnlaugsson

Journal Article

Perspectives of Individual-Worn Sensors Assessing Personal Environmental Exposure

Uwe Schlink, Maximilian Ueberham

Journal Article

A Causal Model-Inspired Automatic Feature-Selection Method for Developing Data-Driven Soft Sensors in

Yan-Ning Sun,Wei Qin,Jin-Hua Hu,Hong-Wei Xu,Poly Z.H. Sun

Journal Article

Structural health monitoring with fiber optic sensors

F. ANSARI

Journal Article

IEEE SENSORS 2019

27 Oct 2019

Conference Information

Development of an experimental platform for research in energy and electrical machine control

Ali HMIDET, Rachid DHIFAOUI, Driss SAIDANI, Othman HASNAOUI,

Journal Article