Article
Automation & Control Systems
Jingqi Li, Ximing Chen, Sergio Pequito, George J. Pappas, Victor M. Preciado
Summary: This article explores the target controllability problem of networked dynamical systems, deriving necessary and sufficient conditions for the structural target controllability of LTI systems with symmetric state matrices and providing graph-theoretic conditions for undirected networks. The results can also be extended to structural output controllability, but verifying these conditions in undirected networks is proven to be NP-hard.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2021)
Article
Computer Science, Hardware & Architecture
Katharina T. Huber, Leo van Iersel, Remie Janssen, Mark Jones, Vincent Moulton, Yukihiro Murakami, Charles Semple
Summary: This paper investigates the relationship between undirected and directed phylogenetic networks, and provides corresponding algorithms. The study reveals that the directed phylogenetic network is unique under specific conditions. Additionally, an algorithm for directing undirected binary networks is described, applicable to certain classes of directed phylogenetic networks.
JOURNAL OF COMPUTER AND SYSTEM SCIENCES
(2024)
Article
Computer Science, Information Systems
Robert John OShea, Louis Wilkins
Summary: This paper provides a unified proof method for the reconstruction conjecture of undirected graphs and verifies that the conjecture holds true for finite undirected graphs with at least three vertices.
INFORMATION SCIENCES
(2024)
Article
Computer Science, Information Systems
Xianwei Zheng, Cuiming Zou, Li Dong, Jiantao Zhou
Summary: This paper introduces the use of multi-windowed graph Fourier transforms for vertex frequency analysis, efficiently constructing tight graph Fourier frames for different application scenarios and proposing methods for reconstructing graph signals. Experimental results demonstrate successful extraction of vertex frequency features and detection of anomaly data using the proposed methods.
COMPUTER COMMUNICATIONS
(2021)
Article
Physics, Multidisciplinary
Dimitri Volchenkov
Summary: This article discusses the thermodynamic limits of micro-canonical, canonical, and grand canonical ensembles in finite connected undirected graphs with infinite walk length, and introduces entropic force and pressure to describe the effect of graph defects on mobility patterns, as well as the nodes' fugacity.
Article
Automation & Control Systems
Zhixiao Wang, Yahui Chai, Chengcheng Sun, Xiaobin Rui, Hao Mi, Xinyu Zhang, Philip S. Yu
Summary: This paper proposes a weighted symmetric graph embedding approach for link prediction, aiming to solve the problems of node embedding and edge embedding. In node embedding, different aggregating weights are used to aggregate neighbors in different orders. In edge embedding, bidirectional concatenation is employed to ensure the symmetry of edge representations while preserving local structural information. Experimental results demonstrate that the proposed approach outperforms state-of-the-art methods in predicting network links.
IEEE TRANSACTIONS ON CYBERNETICS
(2022)
Article
Computer Science, Information Systems
Muhammad Irfan Yousuf, Suhyun Kim
Summary: This paper presents a new graph compression scheme that achieves better compression ratios by exploiting the similarity and locality of references in a graph. The scheme also provides efficient query methods.
Article
Computer Science, Software Engineering
Naoki Kita, Kazunori Miyata
Summary: This paper introduces a computational approach for designing geometric puzzles that differs from existing methods by using a top-down partitioning approach, allowing control and editing of piece shapes instead of automatic generation. The proposed algorithm can be easily extended to both 3D polycube and 2D polyomino puzzle design, demonstrating versatility and innovation in puzzle design.
Article
Mechanics
Edwin Rodriguez-Horta, Alejandro Lage-Castellanos, Roberto Mulet
Summary: By studying the ancestral sequence reconstruction problem using global co-evolutionary models, it was found that intra-species correlations must be taken into account for proper reconstruction of ancestral sequences within a wide range of parameters. Additionally, a reconstruction algorithm outperformed traditional schemes for sequences with discrete elements.
JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT
(2022)
Article
Mathematics, Applied
Aleksander Kelenc, Iztok Peterin
Summary: The direct-co-direct product graph G O H is formed by the vertex set V(G) x V(H). Two vertices (g, h) and (g', h') are adjacent if gg' belongs to E(G) and hh' belongs to E(H), or gg' does not belong to E(G) and hh' does not belong to E(H). We prove that for connected non-complete graphs G and H, the eccentricity of a vertex of G O H is bounded by five. Additionally, we fully describe the cases where the eccentricity is four or five, and in all cases, one factor must be a star. This is crucial for the distance formula of G O H. The disconnected cases of G O H are also characterized.
APPLIED MATHEMATICS AND COMPUTATION
(2023)
Article
Computer Science, Artificial Intelligence
Karl Grantham, Muhetaer Mukaidaisi, Hsu Kiang Ooi, Mohammad Sajjad Ghaemi, Alain Tchagang, Yifeng Li
Summary: This paper proposes a prototypical deep evolutionary learning (DEL) process that integrates deep generative model and multi-objective evolutionary computation for molecular design. DEL enables evolutionary operations in the latent space of the generative model, generates promising novel molecular structures, and improves the generative model learning through fine-tuning. Experimental results show that DEL achieves improvement in property distributions and outperforms other baseline molecular optimization algorithms in generating samples. Additionally, comparisons with various deep generative models demonstrate the benefits of DEL in improving sample populations.
IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE
(2022)
Article
Polymer Science
Ziyu Xing, Dong-Wei Shu, Haibao Lu, Yong-Qing Fu
Summary: In this study, a graph theory was employed to describe the coupling relationship between vertices and edges in molecular networks, and a undirected graphical model was formulated to model the dynamic elasticity of polyelectrolyte hydrogel. The coupling relationship between vertices and edges was obtained using end-to-end distance and viscosity parameters. The effectiveness of the undirected graphical model was verified using both finite element analysis and experimental results.
Article
Physics, Multidisciplinary
Filip Pietrusiak, Renata Wieteska, Przemyslaw Gordinowicz
Summary: We utilize finite dimensional monotonicity methods to investigate problems related to the discrete s(x,.)-Laplacian on simple, connected, undirected, weighted, and finite graphs with nonlinearities given in a non-potential form. Positive solutions are also taken into consideration.
Article
Construction & Building Technology
Sjonnie Boonstra, Koen van der Blom, Herm Hofmeyer, Michael T. M. Emmerich
Summary: Three methods for early-stage building spatial design optimization are presented, demonstrated, and compared for their qualities and limitations. The first method, an evolutionary algorithm, can find well-distributed approximations of the Pareto front but is limited by the number of design evaluations. The second method, simulations of co-evolutionary design processes, can find improved design solutions relatively fast but typically only find discretely distributed Pareto front approximations. The third method proposes hybridization to combine the advantages of the first two methods and diminish their disadvantages, showing improved search efficiency and speed in a case study.
AUTOMATION IN CONSTRUCTION
(2021)
Article
Biochemical Research Methods
Samuel Schmitz, Moritz Ertelt, Rainer Merkl, Jens Meiler
Summary: The study aims to design more stable and native-like protein sequences by using co-evolutionary signals. With the development of the novel Rosetta method ResCue, researchers found that ResCue-designed protein sequences are closer to native than those designed by other protocols. This approach has shown higher recovery rates for functionally important residues, demonstrating the potential of informing design protocols with co-evolutionary signals.
PLOS COMPUTATIONAL BIOLOGY
(2021)
Article
Computer Science, Interdisciplinary Applications
Bin He, Xuanren Zhu, Dong Zhang
JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING
(2020)
Review
Engineering, Manufacturing
Bin He, Kai-Jian Bai
Summary: Intelligent manufacturing as the next-generation system improves productivity, reduces costs, and enhances flexibility. Sustainable manufacturing is gaining attention, with digital twin technology playing a crucial role in real-time monitoring and predictive maintenance of intelligent manufacturing systems.
ADVANCES IN MANUFACTURING
(2021)
Article
Green & Sustainable Science & Technology
Bin He, Xiaoyang Cao, Yicheng Hua
Summary: This paper analyzes the role of digital twin technology in achieving sustainable development goals, focusing on theoretical research on the detection process of massage chairs by intelligent detection robots, information fusion, and DS evidence theory. By establishing a quantitative model, determining weights using the entropy weight method, and evaluating the sustainability of products through data fusion, the comprehensive performance in sustainable design is improved.
JOURNAL OF CLEANER PRODUCTION
(2021)
Review
Computer Science, Interdisciplinary Applications
Bin He, Long Liu, Dong Zhang
Summary: This paper reviews digital twin-driven RUL prediction methods for gear performance degradation, including both physical model-based and virtual model-based approaches. It summarizes the performance and life test of various models in gear, and evaluates the advantages and disadvantages of different methods, encouraging future research in this area.
JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING
(2021)
Article
Computer Science, Interdisciplinary Applications
Bin He, Tengyu Li, Jinglong Xiao
Summary: This paper proposes a digital twin-driven PID controller tuning method to address the issue of mechanical system dynamics characteristics being affected by controller performance degradation. By utilizing virtual real mapping, data fusion, and online identification, real-time feedback and closed-loop self-tuning of PID controller are achieved, with integration of intelligent optimization algorithm to enhance efficiency and accuracy. Modeling of the digital twin model is discussed in terms of physical prototyping, twin service system, and virtual prototyping, with controller tuning for gear transmission stability as an example to validate the method's practicality.
JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING
(2021)
Article
Engineering, Multidisciplinary
Bin He, Qianyi Yu
Summary: This paper proposes a low carbon design approach using multigraph and colour marking to address the uncertainty of carbon footprint caused by unknown product material solution. It also discusses a multi-stage product low carbon design model for product life cycle and presents an algorithm for searching the alternative set of optimal design.
JOURNAL OF ENGINEERING DESIGN
(2021)
Article
Automation & Control Systems
Bin He, Fuze Xu, Pengchang Zhang
Summary: This paper introduces a novel lightweight non-holonomic spherical underactuated robot (NSUR) with lower energy consumption and fewer actuators compared to traditional robotics, and provides a theoretical kinematics analysis model for NSUR. The research highlights the potential of NSUR in sustainable manufacturing due to its lower energy consumption and fewer actuators.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Computer Science, Interdisciplinary Applications
Bin He, Fuze Xu, Dong Zhang, Weijia Wang
Summary: In an increasingly intelligent modern society, the identification and monitoring of mechanical equipment's performance degradation is crucial. This paper proposes a recognition model based on convolutional neural network (CNN) called stacking incremental deformable residual block network. By converting the one-dimensional signal recognition problem into an image recognition problem, the model achieves better recognition performance.
JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING
(2022)
Editorial Material
Robotics
Jin Wang, Silu Chen, Kun Bai, Bin He, Howard Li, Jinchuan Zheng
Summary: The article discusses how advanced functional materials, drives, sensors, and mechanisms have laid the foundation for the development of intelligent robots, with modeling and simulation tools playing a key role in driving these advancements. It also highlights the importance of new modeling and simulation methods in developing intelligent robotic systems and applications.
INTERNATIONAL JOURNAL OF INTELLIGENT ROBOTICS AND APPLICATIONS
(2021)
Article
Automation & Control Systems
Rui Yu, Bin He
Summary: This paper investigates the effects of backlash and collision force variation on gear transmission systems. By establishing a gear collision kinetics model and using finite element method and Fourier grade numerical calculation, the study analyzes the impacts of different parameters on dynamic meshing force, vibration characteristics, and system stability.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Computer Science, Interdisciplinary Applications
Bin He, Jiachi Wu, Xuanren Zhu, Dong Zhang, Jintao Cao
Summary: With the global climate problem becoming increasingly serious, low-carbon product design has gradually become an important direction for sustainable manufacturing. The optimization design of product structure is an important means to achieve low-carbon operation. This paper constructs a new framework for low-carbon manufacturing, analyzes the load on the crane of the offshore wind power installation platform, and examines in detail the dynamic load generated by the crane during lifting, rotating, and luffing. The simulation results are compared with empirical formulas and dynamic analysis results, proving the rationality of the simulation results and dynamic theoretical analysis. The wind load on the crane is also calculated, providing support for the rigid-flexible coupling dynamic analysis of other parts of the solution. Based on the dynamic simulation and load analysis of the offshore platform crane, the low-carbon optimization design of the offshore platform pile leg is carried out to optimize the carbon emissions for the entire life cycle and verify the feasibility of the solution.
JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING
(2023)
Editorial Material
Computer Science, Interdisciplinary Applications
Ehsan T. Esfahani, Bin He, Chih-Hsing Chu, Ying Liu, Rahul Rai, Gaurav Ameta
JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING
(2022)
Article
Computer Science, Interdisciplinary Applications
Bin He, Weihao Chen, Fangfang Li, Xin Yuan
Summary: A disease model based on graph theory was designed to construct a disease diagnosis system in agriculture, which effectively reduces water pollution caused by pesticide abuse. The model introduces the concept of guideposts in machine vision methods, solving the interference problem between different disease paths. The disease diagnosis algorithm based on this model achieves effective disease diagnosis even with missing input indicator sequences.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Green & Sustainable Science & Technology
Bin He, Jiachi Wu, Jinglong Xiao
Summary: This paper studies the safety risk assessment of offshore platforms during the design stage, and proposes a general method to quantify loads and calculate strength. The results have significant implications for achieving sustainable development of offshore platforms.
INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING-GREEN TECHNOLOGY
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Long Liu, Bin He, Dong Zhang, Hangyu Mao
Summary: In this study, the octave analysis method was used to expand the dimension of vibration and noise data of the gearbox, and a DBN noise prediction model based on PSO was established. The reliability of the octave analysis data was verified through experiment and simulation, and the results showed better accuracy compared to BP and SVM methods.
2022 8TH INTERNATIONAL CONFERENCE ON MECHATRONICS AND ROBOTICS ENGINEERING (ICMRE 2022)
(2022)
