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Bridging the gap: Neuro-Symbolic Computing for advanced AI applications in construction

Frontiers of Engineering Management   Pages 727-735 doi: 10.1007/s42524-023-0266-0

Abstract: The integration of Neuro-Symbolic Computing (NSC), an emerging field that combines DL and symbolic reasoningrobust, interpretable, and accurate AI systems in construction by harnessing the strengths of DL and symbolic

Keywords： advanced AI in construction     safety and quality inspection     Neuro-Symbolic Computing     Deep Learning    

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Nonlinear Model-Based Process Operation under Uncertainty Using Exact Parametric Programming

Vassilis M. Charitopoulos,Lazaros G. Papageorgiou,Vivek Dua

Engineering 2017, Volume 3, Issue 2,   Pages 202-213 doi: 10.1016/J.ENG.2017.02.008

Abstract: KKT) conditions in an analytical way, by treating the binary variables and/or uncertain parameters as symbolicTo this effect, symbolic manipulation and solution techniques are employed.

Keywords： Parametric programming     Uncertainty     Process synthesis     Mixed-integer nonlinear programming     Symbolic manipulation    

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Different manipulation mode analysis of a radial symmetrical hexapod robot with leg–arm integration

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 1,   Pages 8-8 doi: 10.1007/s11465-021-0664-0

Abstract: widespread application of legged robot in various fields, the demand for a robot with high locomotion and manipulationAdding an extra arm is a useful but general method for a legged robot to obtain manipulation ability.The manipulation modes can be divided into coordinated manipulation condition and single-limb manipulationThen, mobile manipulation with one integrated leg–arm limb while using pentapod gait is discussed asgait, different pentapod gaits analysis, and a complex six-DOF manipulation while walking.

Keywords： leg–arm integration     hexapod robot     fixed coordinated manipulation     mobile manipulation    

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Static-based early-damage detection using symbolic data analysis and unsupervised learning methods

João Pedro SANTOS,Christian CREMONA,André D. ORCESI,Paulo SILVEIRA,Luis CALADO

Frontiers of Structural and Civil Engineering 2015, Volume 9, Issue 1,   Pages 1-16 doi: 10.1007/s11709-014-0277-3

Abstract: combination of advanced statistical and machine learning methods such as principal component analysis, symbolic

Keywords： structural health monitoring     early-damage detection     principal component analysis     symbolic data     symbolic    

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Automated optimization technique of CMOS analog cell circuit based on symbolic analysis

Zheng Weishan,Deng Qing,Liu Zhaoxia,Shi Longxing

Strategic Study of CAE 2009, Volume 11, Issue 4,   Pages 50-56

Abstract: The proposed method uses symbolic analysis technique to generate exact analytic performance equationsThe symbolic model is then passed to the genetic algorithm and is used as evaluating performance criterion

Keywords： optimization     performance equation     symbolic analysis     genetic algorithm    

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A look at field manipulation and antenna design using 3D transformation electromagnetics and 2D surface Review

Peng-fei ZHANG, Yu-kai YAN, Ying LIU, Raj MITTRA

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 3,   Pages 351-365 doi: 10.1631/FITEE.1900489

Abstract: The main objective of this study is to take a look at antenna design from the field manipulation pointWe review the existing field manipulation techniques, including field transformation methods based onNext, we introduce an alternative approach for field manipulation based on two-dimensional (2D) metasurfacesFinally, we provide some application examples of field manipulation methods in the antenna design, with

Keywords： Field manipulation     Transformation optics     Antenna design     Surface electromagnetics    

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Symbolic representation based on trend features for knowledge discovery in long time series

Hong YIN,Shu-qiang YANG,Xiao-qian ZHU,Shao-dong MA,Lu-min ZHANG

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 9,   Pages 744-758 doi: 10.1631/FITEE.1400376

Abstract: The symbolic representation of time series has attracted much research interest recently.In this paper, we propose a new symbolic representation method for long time series based on trend features, called trend feature symbolic approximation (TFSA).Unlike some previous symbolic methods, it focuses on retaining most of the trend features and patterns

Keywords： Long time series     Segmentation     Trend features     Symbolic     Knowledge discovery    

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Editorial for the Special Issue on Micro and Nano Manipulation and Characterization

Yu Sun, Sergej Fatikow, Xinyu Liu

Engineering 2023, Volume 24, Issue 5,   Pages 1-2 doi: 10.1016/j.eng.2023.04.006

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Modified condition/decision coverage (MC/DC) oriented compiler optimization for symbolic execution

Wei-jiang Hong, Yi-jun Liu, Zhen-bang Chen, Wei Dong, Ji Wang,zbchen@nudt.edu.cn,wdong@nudt.edu.cn,wj@nudt.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 9,   Pages 1267-1412 doi: 10.1631/FITEE.1900213

Abstract: is an effective way of systematically exploring the search space of a program, and is often used for automatic software testing and bug finding. The program to be analyzed is usually compiled into a binary or an intermediate representation, on which is carried out. During this process, s influence the effectiveness and efficiency of . However, to the best of our knowledge, there exists no work on recommendation for with respect to (w.r.t.) , which is an important testing coverage criterion widely used for mission-critical software. This study describes our use of a state-of-the-art tool to carry out extensive experiments to study the impact of s on w.r.t. MC/DC. The results indicate that instruction combining (IC) optimization is the important and dominant optimization for w.r.t MC/DC. We designed and implemented a support vector machine based method w.r.t. IC (denoted as auto). The experiments on two standard benchmarks (Coreutils and NECLA) showed that auto achieves the best MC/DC on 67.47% of Coreutils programs and 78.26% of NECLA programs.
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Acoustic Micro-Manipulation and its Biomedical Applications

Zhichao Ma, Peer Fischer

Engineering 2023, Volume 24, Issue 5,   Pages 13-16 doi: 10.1016/j.eng.2022.06.006

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A Smart Metasurface for Electromagnetic Manipulation Based on Speech Recognition Article

Lin Bai, Yuan Ke Liu, Liang Xu, Zheng Zhang, Qiang Wang, Wei Xiang Jiang, Cheng-Wei Qiu, Tie Jun Cui

Engineering 2023, Volume 22, Issue 3,   Pages 185-190 doi: 10.1016/j.eng.2022.06.026

Abstract:

In this work, we propose and realize a smart metasurface for programming electromagnetic (EM) manipulations based on human speech recognition. The smart metasurface platform is composed of a digital coding metasurface, a speech-recognition module, a single-chip computer, and a digital-to-analog converter (DAC) circuit, and can control EM waves according to pre-stored voice commands in a smart way. The constructed digital metasurface contains 6 × 6 super unit cells, each of which consists of 4 × 4 active elements with embedded varactor diodes. Together with the DAC and single-chip computer, the speech-recognition module can recognize voice commands and generate corresponding voltage sequences to control the metasurface. In addition, a genetic algorithm (GA) is adopted in the design of the metasurface for efficiently optimizing the phase distributions. To verify the performance of the smart metasurface platform, three typical functions are demonstrated: radar cross-section reduction, vortex beam generation, and beam splitting. The proposed strategy may offer a new avenue for controlling EM waves and establishing a link between EM and acoustic communications.

Keywords： Speech recognition     Programmable metasurface     Genetic algorithm     Smart electromagnetic manipulation    

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Investigation on Network Control for Control and Manipulating System of the Vehicle and Construction Machinery

Li Yunhua,Yang Guilin

Strategic Study of CAE 2005, Volume 7, Issue 9,   Pages 25-29

Abstract: The research conclusions provide the new approach to realize the control and manipulation of the huge

Keywords： construction machinery     control     manipulation     network control    

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KeJia: towards an autonomous service robotwith tolerance of unexpected environmental changes Special Feature on Intelligent Robats

Wei SHUAI, Xiao-ping CHEN

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 3,   Pages 307-317 doi: 10.1631/FITEE.1900096

Abstract: consisting of a mobile base, an arm, two cameras, and a set of software components for perception, manipulation

Keywords： Robot     Task planning     Manipulation    

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Grasp Planning and Visual Servoing for an Outdoors Aerial Dual Manipulator Article

Pablo Ramon-Soria, Begoña C. Arrue, Anibal Ollero

Engineering 2020, Volume 6, Issue 1,   Pages 77-88 doi: 10.1016/j.eng.2019.11.003

Abstract: Aerial manipulation remains a very challenging task.

Keywords： Aerial manipulation     Grasp planning     Visual servoing    

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Strategy for robot motion and path planning in robot taping

Qilong YUAN,I-Ming CHEN,Teguh Santoso LEMBONO,Simon Nelson LANDÉN,Victor MALMGREN

Frontiers of Mechanical Engineering 2016, Volume 11, Issue 2,   Pages 195-203 doi: 10.1007/s11465-016-0390-1

Abstract: A collision avoidance algorithm is introduced for the robot taping manipulation.

Keywords： robot taping     path planning     robot manipulation     3D scanning    

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Title Author Date Type Operation

Bridging the gap: Neuro-Symbolic Computing for advanced AI applications in construction

Journal Article

Nonlinear Model-Based Process Operation under Uncertainty Using Exact Parametric Programming

Vassilis M. Charitopoulos,Lazaros G. Papageorgiou,Vivek Dua

Journal Article

Different manipulation mode analysis of a radial symmetrical hexapod robot with leg–arm integration

Journal Article

Static-based early-damage detection using symbolic data analysis and unsupervised learning methods

João Pedro SANTOS,Christian CREMONA,André D. ORCESI,Paulo SILVEIRA,Luis CALADO

Journal Article

Automated optimization technique of CMOS analog cell circuit based on symbolic analysis

Zheng Weishan,Deng Qing,Liu Zhaoxia,Shi Longxing

Journal Article

A look at field manipulation and antenna design using 3D transformation electromagnetics and 2D surface

Peng-fei ZHANG, Yu-kai YAN, Ying LIU, Raj MITTRA

Journal Article

Symbolic representation based on trend features for knowledge discovery in long time series

Hong YIN,Shu-qiang YANG,Xiao-qian ZHU,Shao-dong MA,Lu-min ZHANG

Journal Article

Editorial for the Special Issue on Micro and Nano Manipulation and Characterization

Yu Sun, Sergej Fatikow, Xinyu Liu

Journal Article

Modified condition/decision coverage (MC/DC) oriented compiler optimization for symbolic execution

Wei-jiang Hong, Yi-jun Liu, Zhen-bang Chen, Wei Dong, Ji Wang,zbchen@nudt.edu.cn,wdong@nudt.edu.cn,wj@nudt.edu.cn

Journal Article

Acoustic Micro-Manipulation and its Biomedical Applications

Zhichao Ma, Peer Fischer

Journal Article

A Smart Metasurface for Electromagnetic Manipulation Based on Speech Recognition

Lin Bai, Yuan Ke Liu, Liang Xu, Zheng Zhang, Qiang Wang, Wei Xiang Jiang, Cheng-Wei Qiu, Tie Jun Cui

Journal Article

Investigation on Network Control for Control and Manipulating System of the Vehicle and Construction Machinery

Li Yunhua,Yang Guilin

Journal Article

KeJia: towards an autonomous service robotwith tolerance of unexpected environmental changes

Wei SHUAI, Xiao-ping CHEN

Journal Article

Grasp Planning and Visual Servoing for an Outdoors Aerial Dual Manipulator

Pablo Ramon-Soria, Begoña C. Arrue, Anibal Ollero

Journal Article

Strategy for robot motion and path planning in robot taping

Qilong YUAN,I-Ming CHEN,Teguh Santoso LEMBONO,Simon Nelson LANDÉN,Victor MALMGREN

Journal Article