Article
Computer Science, Interdisciplinary Applications
Lucas A. Waddell, Jerry L. Phillips, Tianzhu Liu, Swarup Dhar
Summary: The quadratic assignment problem (QAP) is a challenging nonlinear combinatorial optimization problem with numerous applications. Previous research has identified objective function structures that enable efficient solutions using the level-1 reformulation-linearization-technique (RLT) form. This paper extends the work by investigating solvable cases with special chess-board and graded structures, and characterizing them in terms of the level-1 RLT form. Additionally, a new relaxed version of the level-1 RLT form is introduced to facilitate the study of these special instances.
JOURNAL OF COMBINATORIAL OPTIMIZATION
(2023)
Article
Computer Science, Artificial Intelligence
Christoffer Loeffler, Luca Reeb, Daniel Dzibela, Robert Marzilger, Nicolas Witt, Bjoern M. Eskofier, Christopher Mutschler
Summary: This work proposes a metric learning approach for fast similarity-based scene retrieval of unstructured trajectory data. The method uses Siamese Metric Learning and Temporal Convolutional Network to obtain low-dimensional representations and reasonable solutions to the assignment problem. Experimental results show that our method performs well in learning features and embeddings, with low approximation errors and retrieval times.
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY
(2022)
Article
Multidisciplinary Sciences
Roarke A. Kamber, Yoko Nishiga, Bhek Morton, Allison M. Banuelos, Amira A. Barkal, Felipe Vences-Catalan, Mingxin Gu, Daniel Fernandez, Jose A. Seoane, David Yao, Katherine Liu, Sijie Lin, Kaitlyn Spees, Christina Curtis, Livnat Jerby-Arnon, Irving L. Weissman, Julien Sage, Michael C. Bassik
Summary: This study developed a platform for unbiased identification of factors that impede antibody-dependent cellular phagocytosis (ADCP) in cancer cells, revealing the important roles of the enzyme APMAP and the G-protein-coupled receptor GPR84 in this process. This helps to expand our knowledge of the mechanisms governing cancer resistance to macrophage phagocytosis.
Article
Management
Evren Gul, Alvin Lim, Jiefeng Xu
Summary: This study proposes an optimization methodology to maximize product visibility to shoppers by assigning product categories and subcategories to store locations. The methodology is developed considering shopper behavior and solves a mathematical optimization problem to improve store layout.
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
(2023)
Article
Biochemistry & Molecular Biology
Claudio Tabolacci, Martina Cordella, Sabrina Mariotti, Stefania Rossi, Cinzia Senatore, Carla Lintas, Lauretta Levati, Daniela D'Arcangelo, Antonio Facchiano, Stefania D'Atri, Roberto Nisini, Francesco Facchiano
Summary: The study focused on secretome profiling of melanoma cells sensitive or resistant to the BRAFi vemurafenib, finding that vemurafenib-resistant melanoma cells can influence dendritic cell maturation and produce higher levels of pro-inflammatory cytokines. Proteomic and cytokine/chemokine secretion analyses suggest a possible involvement of the proteasome pathway in BRAFi resistance, with BRAFi-resistant cells displaying a more aggressive phenotype and increased production of specific proteins. Plasma levels of CD147/basigin and MMP-2 were observed to increase in melanoma patients at the time of treatment failure, supporting the hypothesis that CD147/basigin might play a role in BRAFi resistance.
Article
Chemistry, Multidisciplinary
David Beriashvili, Ru Yao, Francesca D'Amico, Michaela Krafcikova, Andrei Gurinov, Adil Safeer, Xinyi Cai, Monique P. C. Mulder, Yangping Liu, Gert E. Folkers, Marc Baldus
Summary: We demonstrate that the polarizing agent SNAPol-1 can enter human cells and enable DNP solid-state NMR measurements at 800 MHz, resulting in remarkable sensitivity and resolution. This allows for the identification of structural heterogeneity of ubiquitin at the atomic scale and with sub-cellular specificity. The use of SNAPol-1 also enables faster measurement times and provides a unique structural view of the nuclear ubiquitin pool.
Article
Engineering, Electrical & Electronic
Haichao Wei, Na Deng, Martin Haenggi
Summary: This study proposes two inter-cell interference coordination (ICIC) schemes in millimeter-wave cellular networks: PL-ICIC based on path loss and PG-ICIC based on both path loss and directivity gain. Numerical results show significant reliability improvements in the low-SIR regime, with a wider improvement range as the number of antennas increases, and PG-ICIC better balancing resource allocation among users compared to PL-ICIC.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2022)
Article
Automation & Control Systems
Teng-Sheng Su, Han-Hsin Hsiao
Summary: Designing an optimal material flow layout for semiconductor inter-bay handling is crucial for enhancing production efficiency, but it poses challenges such as determining the type and sequence of shortcut points. Utilizing fuzzy-set theory offers a solution to address these challenges, helping optimize the layout of semiconductor equipment material flow.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2021)
Article
Computer Science, Artificial Intelligence
Fatma Laidoui, Malika Bessedik, Fatima Benbouzid-Si Tayeb
Summary: This study presents a game modeling approach for the multi-objective frequency assignment problem (FAP) in cellular networks, aiming to improve QoS for end users by considering two conflicting objectives: interference and separation costs. Two types of cooperative games are suggested, each using two players to represent the different objectives. The proposed games achieve a good trade-off between the objectives and the performance of the solutions is evaluated using the hypervolume (HV) and the Nash value, allowing for comparisons with other approaches in multi-objective optimization (MOO) and game theory (GT). The proposed approach is also demonstrated to be effective in solving real-world instances of the problem.
APPLIED SOFT COMPUTING
(2023)
Article
Engineering, Electrical & Electronic
Hongru Wang, Yujian Ye, Qi Wang, Yi Tang, Goran Strbac
Summary: This paper proposes a novel dynamic traffic assignment model to optimize the spatial-temporal distribution of EV flows on roads and at FCSs, considering their flexible charging and discharging options and SoC-related constraints. Case studies validate the effectiveness of the proposed model and confirm the core benefits from the spatial-temporal coordination of EV C&D demand in the power distribution network, including peak demand reduction, improved RES absorption, reduced carbon emission, and more efficient network congestion management.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Huayan Guo, Vincent K. N. Lau
Summary: This paper proposes a novel DL-based channel estimation solution with a cascaded model-based and model-free deep neural network (DNN) structure, addressing the issue of inapplicability of existing works for cell-edge users under inter-cell interference (ICI). The proposed solution outperforms various state-of-the-art baseline schemes in a large SINR range and achieves comparable performance to the estimator with genie-aided channel statistics.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
(2023)
Article
Engineering, Multidisciplinary
Majid Rafiee, Vahid Kayvanfar, Atieh Mohammadi, Frank Werner
Summary: This paper investigates the operator assignment problem in cellular manufacturing systems, with a focus on operator learning and forgetting effects, as well as handling uncertain parameters. Numerical instances solving and statistical analysis of the model were conducted to gain managerial insights.
APPLIED MATHEMATICAL MODELLING
(2022)
Article
Automation & Control Systems
Yuxiang Hu, Xuewu Dai, Dongliang Cui, Zhian Jia, Qiang Liu, Ping Zhou
Summary: This article proposes a generalized PI observer with approximate disturbance decoupling (ADD-GPIO) for detecting incipient actuator faults of a system subject to periodic input disturbances. The proposed observer achieves robustness to disturbances and sensitivity to faults through dynamic configuration of the disturbance transmission zeros and pole optimization, respectively. The optimal design of the ADD-GPIO is then modeled as a mixed-integer optimization problem, and the Lagrangian relaxation is adopted to find the near-optimal parameters of the ADD-GPIO at lower computation costs. Simulation and lab experiments of a two-wheeled self-balancing robot validate the improved performance of the proposed method.
INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
(2023)
Article
Telecommunications
Maryam Chinipardaz, Seyed Majid Noorhosseini, Ahmad Sarlak
Summary: Interference is the main limitation of capacity in wireless networks. This study proposes a model and constraints to prevent harmful interference and optimize cell association and interference management. The simulation results confirm the effectiveness of the proposed model.
TELECOMMUNICATION SYSTEMS
(2022)
Article
Toxicology
Grzegorz Bartosz, Natalia Pienkowska, Izabela Sadowska-Bartosz
Summary: The reliance of the mol/cell metric on experimental conditions is demonstrated when the toxic agent interacts with components of the medium or when its physical state is modified by the target cells, and the effect is independent of the mol/per cell ratio for high excess of a cell damaging agent.
TOXICOLOGY IN VITRO
(2022)
Article
Transportation Science & Technology
S. Mohammad Arabzad, Hadi Shirouyehzad, Mandi Bashiri, Reza Tavakkoli-Moghaddam, Esmaeil Najafi
Article
Computer Science, Artificial Intelligence
Ali Baniamerian, Mahdi Bashiri, Reza Tavakkoli-Moghaddam
APPLIED SOFT COMPUTING
(2019)
Article
Computer Science, Interdisciplinary Applications
Erfaneh Nikzad, Mahdi Bashiri, Fabricio Oliveira
COMPUTERS & INDUSTRIAL ENGINEERING
(2019)
Article
Automation & Control Systems
Melahat Khodemani-Yazdi, Reza Tavakkoli-Moghaddam, Mahdi Bashiri, Yaser Rahimi
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2019)
Article
Computer Science, Interdisciplinary Applications
Atefeh Hassanpour, Jafar Bagherinejad, Mandi Bashiri
COMPUTERS & INDUSTRIAL ENGINEERING
(2019)
Article
Computer Science, Artificial Intelligence
Mahdi Jalilvand, Mahdi Bashiri, Erfaneh Nikzad
Summary: This paper proposes an effective Progressive Hedging algorithm for the vehicle routing problem with two-layers time window assignment and stochastic service times. The algorithm aims to give more flexibility to carriers in serving more customers using less vehicles, and the validity of the model was verified through various numerical examples. The problem was formulated as a two-stage stochastic model and solved using a Progressive Hedging algorithm for large-scale instances, confirming the efficiency of the proposed solution approach in different scenarios.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Operations Research & Management Science
Elham Ziar, Mehdi Seifbarghy, Mahdi Bashiri, Benny Tjahjono
Summary: This paper proposes an intermodal rail-road p-hub median model to address the problem of deciding the locations of dry ports. The model allows for direct transportation and shipment between nodes, and the government decides the dry port locations while freight forwarders aim to minimize shipping costs. A matheuristic approach based on the Genetic Algorithm is proposed to solve the problem. The experimental results show that the proposed model can decrease transportation costs and reduce air pollution.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Management
Reza Rahmati, Hossein Neghabi, Mahdi Bashiri, Majid Salari
Summary: This article proposes a two-stage stochastic profit-maximizing hub location problem with uncertain demand and considers various carbon regulations. The proposed models use an enhanced sample average approximation method which incorporates k-means clustering and self-organizing map clustering algorithms to obtain suitable scenarios. The L-shaped algorithm is employed for efficient solving. The computational analysis using Australian Post data demonstrates that all carbon regulations can reduce carbon emissions, with carbon cap-and-trade policy achieving better economic results for transportation. The results also show that the self-organizing map clustering algorithm within the enhanced sample average approximation method is superior to k-means clustering and classical sample average approximation algorithms.
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
(2023)
Article
Management
Somayeh Esmaeili, Mahdi Bashiri, Amirhossein Amiri
Summary: Blood shortages in blood supply chains are a major challenge. A bi-objective mixed integer mathematical model is developed to optimize the location of collection stations, transshipment and inventory of blood centers, routes and the quantity of collected blood. Experimental results and a real case study show that the proposed model can significantly reduce blood costs and shortages, providing decision makers with preferred solutions.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Review
Engineering, Industrial
Etieno Enang, Mahdi Bashiri, David Jarvis
Summary: This paper conducts a systematic literature review on human-centric Industry 4.0 (IN 4.0) and Industry 5.0 (IN 5.0) and explores the driving forces behind the transition from technocentric IN 4.0 to value-centric IN 5.0 using the principles of the multiple level perspective (MLP). The study identifies the Covid-19 pandemic and climate change as key contextual factors impacting the transition, while trust, mass personalization, and autonomy are highlighted as key regime factors. Advanced extended reality technologies, cobots/advanced robotics, and advanced AI are often associated with landscape or regime issues in terms of niche innovations. Drawing on MLP theory, the study shows that the transition from IN 4.0 to IN 5.0 is occurring through a reconfiguration pattern. The paper further emphasizes the aspects that both practitioners and academics need to consider in order to facilitate the transition from IN 4.0 to IN 5.0.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Engineering, Multidisciplinary
A. Hassanpour, J. Bagherinejad, M. Bashiri
Article
Engineering, Multidisciplinary
Z. Esfandiyari, M. Bashiri, R. Tavakkoli-Moghaddam
Article
Management
Amir Hossein Hosseinian, Vahid Baradaran, Mandi Bashiri
JOURNAL OF MODELLING IN MANAGEMENT
(2019)
Article
Engineering, Multidisciplinary
A. Rouhani, M. Bashiri, R. Sahraeian
INTERNATIONAL JOURNAL OF ENGINEERING
(2019)
Proceedings Paper
Computer Science, Artificial Intelligence
Behnam Karimi, Mahdi Bashiri
28TH INTERNATIONAL CONFERENCE ON FLEXIBLE AUTOMATION AND INTELLIGENT MANUFACTURING (FAIM2018): GLOBAL INTEGRATION OF INTELLIGENT MANUFACTURING AND SMART INDUSTRY FOR GOOD OF HUMANITY
(2018)
Article
Engineering, Multidisciplinary
A. A. Aganin, A. I. Davletshin
Summary: A mathematical model of interaction of weakly non-spherical gas bubbles in liquid is proposed in this paper. The model equations are more accurate and compact compared to existing analogs. Five problems are considered for validation, and the results show good agreement with experimental data and numerical solutions. The model is also used to analyze the behavior of bubbles in different clusters, providing meaningful insights.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Hao Wu, Jie Sun, Wen Peng, Lei Jin, Dianhua Zhang
Summary: This study establishes an analytical model for the coupling of temperature, deformation, and residual stress to explore the mechanism of residual stress formation in hot-rolled strip and how to control it. The accuracy of the model is verified by comparing it with a finite element model, and a method to calculate the critical exit crown ratio to maintain strip flatness is proposed.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Shengwen Tu, Naoki Morita, Tsutomu Fukui, Kazuki Shibanuma
Summary: This study aimed to extend the finite element method to cope with elastic-plastic problems by introducing the s-version FEM. The s-version FEM, which overlays a set of local mesh with fine element size on the conventional FE mesh, simplifies domain discretisation and provides accurate numerical predictions. Previous applications of the s-version FEM were limited to elastic problems, lacking instructions for stress update in plasticity. This study presents detailed instructions and formulations for addressing plasticity problems with the s-version FEM and analyzes a stress concentration problem with linear/nonlinear material properties.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Bo Fan, Zhongmin Wang
Summary: A 3D rotating hyperelastic composite REF model was proposed to analyze the influence of tread structure and rotating angular speed on the vibration characteristics of radial tire. Nonlinear dynamic differential equations and modal equations were established to study the effects of internal pressure, tread pressure sharing ratio, belt structure, and rotating angular speed on the vibration characteristics.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
X. W. Chen, Z. Q. Yue, Wendal Victor Yue
Summary: This paper examines the axisymmetric problem of a flat mixed-mode annular crack near and parallel to an arbitrarily graded interface in functionally graded materials (FGMs). The crack is modeled as plane circular dislocation loop and an efficient solution for dislocation in FGMs is used to calculate the stress field at the crack plane. The analytical solutions of the stress intensity factors are obtained and numerical study is conducted to investigate the fracture mechanics of annular crack in FGMs.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Xumin Guo, Jianfei Gu, Hui Li, Kaihua Sun, Xin Wang, Bingjie Zhang, Rangwei Zhang, Dongwu Gao, Junzhe Lin, Bo Wang, Zhong Luo, Wei Sun, Hui Ma
Summary: In this study, a novel approach combining the transfer matrix method and lumped parameter method is proposed to analyze the vibration response of aero-engine pipelines under base harmonic and random excitations. The characteristics of the pipelines are investigated through simulation and experiments, validating the effectiveness of the proposed method.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Xiangyu Sha, Aizhong Lu, Ning Zhang
Summary: This paper investigates the stress and displacement of a layered soil with a fractional-order viscoelastic model under time-varying loads. The correctness of the solutions is validated using numerical methods and comparison with existing literature. The research findings are of significant importance for exploring soil behavior and its engineering applications under time-varying loads.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Thuy Dong Dang, Thi Kieu My Do, Minh Duc Vu, Ngoc Ly Le, Tho Hung Vu, Hoai Nam Vu
Summary: This paper investigates the nonlinear torsional buckling of corrugated core sandwich toroidal shell segments with functionally graded graphene-reinforced composite (FG-GRC) laminated coatings in temperature change using the Ritz energy method. The results show the significant beneficial effects of FG-GRC laminated coatings and corrugated core on the nonlinear buckling responses of structures.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Zhihao Zhai, Chengbiao Cai, Qinglai Zhang, Shengyang Zhu
Summary: This paper investigates the effect of localized cracks induced by environmental factors on the dynamic performance and service life of ballastless track in high-speed railways. A mathematical approach for forced vibrations of Mindlin plates with a side crack is derived and implemented into a train-track coupled dynamic system. The accuracy of this approach is verified by comparing with simulation and experimental results, and the dynamic behavior of the side crack under different conditions is analyzed.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
James Vidler, Andrei Kotousov, Ching-Tai Ng
Summary: The far-field methodology, developed by J.C. Maxwell, is utilized to estimate the effective third order elastic constants of composite media containing random distribution of spherical particles. The results agree with previous studies and can be applied to homogenization problems in other fields.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Kim Q. Tran, Tien-Dat Hoang, Jaehong Lee, H. Nguyen-Xuan
Summary: This study presents novel frameworks for graphene platelets reinforced functionally graded triply periodic minimal surface (GPLR-FG-TPMS) plates and investigates their performance through static and free vibration analyses. The results show that the mass density framework has potential for comparing different porous cores and provides a low weight and high stiffness-to-weight ratio. Primitive plates exhibit superior performance among thick plates.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Bence Hauck, Andras Szekrenyes
Summary: This study explores several methods for computing the J-integral in laminated composite plate structures with delamination. It introduces two special types of plate finite elements and a numerical algorithm. The study presents compact formulations for calculating the J-integral and applies matrix multiplication to take advantage of plate transition elements. The models and algorithms are applied to case studies and compared with analytical and previously used finite element solutions.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Wu Ce Xing, Jiaxing Wang, Yan Qing Wang
Summary: This paper proposes an effective mathematical model for bolted flange joints to study their vibration characteristics. By modeling the flange and bolted joints, governing equations are derived. Experimental studies confirm that the model can accurately predict the vibration characteristics of multiple-plate structures.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Pingchao Yu, Li Hou, Ke Jiang, Zihan Jiang, Xuanjun Tao
Summary: This paper investigates the imbalance problem in rotating machinery and finds that mass imbalance can induce lateral-torsional coupling vibration. By developing a model and conducting detailed analysis, it is discovered that mass imbalance leads to nonlinear time-varying characteristics and there is no steady-state torsional vibration in small unbalanced rotors. Under largely unbalanced conditions, both resonant and unstable behavior can be observed, and increasing lateral damping can suppress instability and reduce lateral amplitude in the resonance region.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Yong Cao, Ziwen Guo, Yilin Qu
Summary: This paper investigates the mechanically induced electric potential and charge redistribution in a piezoelectric semiconductor cylindrical shell. The results show that doping levels can affect the electric potentials and mechanical displacements, and alter the peak position of the zeroth-order electric potential. The doping level also has an inhibiting effect on the first natural frequency. These findings are crucial for optimizing the design and performance of cylindrical shell-shaped sensors and energy harvesters.
APPLIED MATHEMATICAL MODELLING
(2024)
