Research on Reverse Search System of Intelligent Parking Lot by MA Jihui, WANG Lijie, ZHAO Yuanzhen, SUN Jianbo

“… In order to solve the problem of reverse car search in intelligent parking lot, a reverse car search method based on PC client and mobile client application intelligent parking lot or garage is presented. …”
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Research progress in 3D bioprinting of skin: Challenges and opportunities by Gupta Shaman, Sharma Neeraj, Čepová Lenka, Kumar Ajay, Sharma Vishal S., Sharma Rakesh Chandmal, Swarna B.

“…This article investigates 3D bioprinting as an exciting solution to the problem of skin regeneration, emphasizing the possibility of eliminating the drawbacks of standard grafts. …”
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An Interactive Modelling Environment for Designing Warehouse Layouts Based on ASP by Andre Thevapalan, Marco Wilhelm, Gabriele Kern-Isberner, Pascal Kaiser, Moritz Roidl

“…As this can be quite difficult and time-consuming, we propose an interactive modelling environment which creates all feasible layouts for a given planning problem by exploiting a logistical knowledge base as well as specific case data provided by the user, who can interactively review all optimal layouts and look for the most suited one. …”
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Two-Step Probabilistic Method to Enable Demand Response Programs in Renewable-Based Integrated Energy Systems by Farshad Jafari, Haidar Samet, Ali Reza Seifi, Mohammad Rastegar

“…In the first step, an optimization problem is solved to determine the optimal energy cost for each customer. …”
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User-centric energy efficiency fairness in backscatter-assisted wireless powered communication network by Yinghui YE, Liqin SHI, Guangyue LU

“…In order to address the unfair user-centric energy efficiency (EE) problem caused by channel difference in the backscatter-assisted wireless powered communication network,a resource allocation scheme was proposed.Firstly,a mixed integer nonconvex fractional programming problem was formulated to maximize the minimum user-centric EE,subject to the quality of service and energy-causality constraints.Based on the generalized fractional programming theory,the original problem was transformed into a mixed integer nonconvex subtraction problem.With the aid of the slack variable,the proof by contradiction,the auxiliary variable and the mixed integer nonconvex subtraction problem were further transformed into an equivalent convex problem.Finally,an iterative algorithm was proposed to obtain the optimal solutions.Computer simulations validated the quick convergence of the proposed iterative algorithm,and that the developed resource allocation scheme efficiently guarantees the fairness among users in terms of EE.…”
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Theoretical Aspect of Diagonal Bregman Proximal Methods by S. Kabbadj

“…In this paper, we propose and study a diagonal inexact version of Bregman proximal methods, to solve convex optimization problems with and without constraints. The proposed method forms a unified framework for existing algorithms by providing others.…”
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PIPNet: A Deep Convolutional Neural Network for Multibaseline InSAR Phase Unwrapping Based on Pure Integer Programming by Hui Liu, Ke Zheng, Changwei Miao, Xuemei Liu, Xianlin Liu, Lin Li, Yongguang Zhang, Longhai Xiong

“…Then, we innovatively designed a new joint loss function and PIP constraints to guide the iterative optimization of model parameters. …”
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Adaptive Broadcast Scheme with Fuzzy Logic and Reinforcement Learning Dynamic Membership Functions in Mobile Ad Hoc Networks by Akobir Ismatov, BeomKyu Suh, Jian Kim, YongBeom Park, Ki-Il Kim

“…Model B, on the other hand, introduces a multi-profile switching mechanism that selects among distinct fuzzy parameter sets optimized for various macro-level scenarios, such as energy constraints or node density, without altering the broadcasting ratio. …”
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Nash Bargaining-Based Coordinated Frequency-Constrained Dispatch for Distribution Networks and Microgrids by Ziming Zhou, Zihao Wang, Yanan Zhang, Xiaoxue Wang

“…To address this issue, this paper proposes a coordinated optimization method for distribution networks and microgrid clusters considering frequency constraints. …”
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Scheduling of home energy management systems for price-based demand response and end-users discomfort reduction by Kamyab Gholam-Reza

“…In this paper, a discomfort index is proposed based on the time intervals between the start and end of the operation periods of these shift-able appliances relative to their residents' preferred usage times. The problem of optimal scheduling for these appliances is then modeled as an optimization problem aimed at minimizing the weighted sum of the daily household electricity bill and the discomfort index. …”
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Landing scheduling for carrier aircraft fleet considering bolting probability and aerial refueling by Genlai Zhang, Lei Wang, Zhilong Deng, Xuanbo Liu, Xichao Su, Haixu Li, Chen Lu, Kai Liu, Xinwei Wang

“…Based on the analysis of recovery mode involving the above factors, two types of primary constraints (i.e., fuel constraint and wake interval constraint) are first described. …”
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Inherent Trade-Offs Between the Conflicting Aspects of Designing the Compact Global Navigation Satellite System (GNSS) Anti-Interference Array by Xiangjun Li, Xiaoyu Zhao, Xiaozhou Ye, Zukun Lu, Feixue Wang, Peiguo Liu

“…To address this challenge, this paper focuses on the multidimensional trade-off problem in the design of compact GNSS anti-interference arrays under finite spatial constraints. …”
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High-Quality Short-Range Radar Imaging with Coprime Sampling by Yaping Wang, Tianjiao Zeng, Xu Zhan, Xiangdong Ma, Mou Wang, Jun Shi, Shunjun Wei, Xiaoling Zhang

“…Our approach is built upon three core perspectives: (1) physical sampling: we adopt a coprime pattern to form an extended sampling aperture with a structured layout, enabling effective utilization of limited channels and minimizing aperture loss; (2) signal measurement: we utilize the second-order statistics of the measured data to generate additional equivalent measurements, thus enhancing the system’s capability to capture diverse spatial information; and (3) scene reconstruction: we establish a novel forward measurement model, linking these equivalent measurements to the scene, and then formulate a sparsity-regularized optimization problem. We design a background-texture-preserving, target-enhanced resolving method based on the first-order proximal gradient algorithm to achieve robust and high-quality imaging results. …”
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Nonlinear Model Predictive Control Energy Management Strategy for Hybrid Power Ships Based on Working Condition Identification by Yucheng Yan, Zhichao Chen, Diju Gao

“…To reduce fuel consumption, a nonlinear model predictive control energy management strategy based on working condition identification is proposed for optimal energy management to solve the problem of real-time optimal adjustment of generators and batteries. …”
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Scientific Machine Learning for Guided Wave and Surface Acoustic Wave (SAW) Propagation: PgNN, PeNN, PINN, and Neural Operator by Nafisa Mehtaj, Sourav Banerjee

“…Despite current challenges, such as optimization difficulties and scalability constraints, PINNs hold transformative potential for advancing wave propagation modeling. …”
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Risk assessment of water inrush from coal floor based on enhanced samples with class distribution by Shiwei Liu, Jiaxin Zhao, Hao Yu, Jiaqi Chen

“…The CDMTD method could effectively solve the problem of virtual sample distribution variation in the overall trend diffusion theory and enhance the measured database, reducing the impact of small sample sizes. …”
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Robust Model Predictive Control for DAB Converters Using Extended Phase Shift Modulation With Minimum Backflow Power and ZVS Design by Nguyen Ngoc Nam, Dong Hun Lee, Young Il Lee

“…First, backflow power, which significantly impacts the converter’s efficiency, is analyzed and minimized using Karush-Kuhn-Tucker (KKT) conditions. By solving an optimization problem with constraints that include power transfer, ZVS, and EPS conditions, the proposed method provides closed-form solutions for the inner and outer phase shifts. …”
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Distributed Beamforming for Relay Assisted Multiuser Machine-to-Machine Networks by Chen Chen, Lin Bai, Meiping Feng, Minhua Huang, Tian Tian

“…For multiuser systems with orthogonal channels, we divide the optimization problem into multiple single user problems which then can be solved by each relay independently. …”
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Real-Time Task Scheduling and Resource Planning for IIoT-Based Flexible Manufacturing with Human–Machine Interaction by Gahyeon Kwon, Yeongeun Shim, Kyungwoon Cho, Hyokyung Bahn

“…Although prior studies have explored dynamic scheduling, they often relax deadlines for lower-criticality tasks, which is not well suited to IIoT systems with strict deadline constraints. In this paper, instead of treating dynamic scheduling as a prediction problem, we model it as deterministic planning in response to explicit, observable user input. …”
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基于遗传-二次规划法的封闭差动人字齿轮传动系统混合优化设计 by 朱增宝, 朱如鹏, 尹敏

“…Using the positive transmission way of modified gear,a mathematical optimization model of the encased differential herringbone gear transmission system is set up by taking the lightest gear weight of this transmission system as the optimization objective.Taking the advantage of its optimization function of genetic algorithm and quadratic programming algorithm in MATLAB toolbox,the compound optimization design is carried out.The research results show that the problem of which the initial value of quadratic programming is difficult to determine is solved well by using the results of the genetic algorithm as the initial value of quadratic programming optimization.Compared with the genetic algorithm or quadratic programming,the optimization design variables of this compound optimization are obviously improved and the gear weight of the system is markedly reduced.The compound optimization method provides a simple and practical solution to obtain precise global optimal solution of the large-scale nonlinear constraint optimization.…”
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