Mechanism for green unicast routing protection in multi-granularity transport networks by Jun-ling SHI, Xing-wei WANG, Min HUANG

“…The mechanism for green unicast routing protection is designed with the constraint of quality of service (QoS),energy consumption and the survivability of single link or node failure considered.The path is calculated under the constraint of QoS based on K-shortest path algorithm.The resource allocation is done on multi-layer auxiliary graph considering the minimum times of wavelength conversion.Three protection levels are provided according to the service demands.The mechanism is implemented over EON (Europe optical network) topology by simulation.Performance evaluation has been done on the blocking probability,the protecting/working resource ratio and the load balance degree by comparing with certain existent mechanism.It has been shown that the proposed mechanism is both feasible and effective.…”
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Federated Synergy: Hierarchical Multi-Agent Learning for Sustainable Edge Computing in IIoT by S. Benila, K. Devi

“…The Industrial Internet of Things (IIoT) presents significant challenges in task offloading, resource allocation, and energy efficiency, necessitating intelligent, scalable, and adaptive solutions. …”
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Presenting a multi-objective mathematical model with an integrated approach to scheduling and financial flow in production projects using NSGA-II by Sajad Janbaz, Seyed Mohammadreza Davoodi, Abdolmajid Abdolbaghi Ataabadi

“…The objective is to develop a multi-objective mathematical model that integrates scheduling and financial considerations to optimize resource allocation and minimize costs. The statistical population is in the form of a case study, and the required information and data were collected through interviews with managers of Kisson Construction Company.Findings: NSGA-II was used as an optimization algorithm to find efficient multi-objective solutions, and optimal results were presented to select civil and construction projects.Originality/Value: This research contributes to the field by proposing a novel multi-objective mathematical model that integrates scheduling and financial flow considerations in production projects. …”
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Proximity-based solutions for optimizing autism spectrum disorder treatment: integrating clinical and process data for personalized care by Annarita Vignapiano, Annarita Vignapiano, Francesco Monaco, Francesco Monaco, Stefania Landi, Luca Steardo, Carlo Mancuso, Claudio Pagano, Gianvito Petrillo, Alessandra Marenna, Martina Piacente, Stefano Leo, Carminia Marina Ingenito, Rossella Bonifacio, Benedetta Di Gruttola, Marco Solmi, Marco Solmi, Marco Solmi, Marco Solmi, Maria Pontillo, Giorgio Di Lorenzo, Giorgio Di Lorenzo, Alessio Fasano, Alessio Fasano, Alessio Fasano, Giulio Corrivetti, Giulio Corrivetti

“…A central data hub, the Master Data Plan (MDP), will aggregate and analyze information from diverse sources, feeding AI algorithms that can identify risk factors for ASD, personalize treatment plans based on individual needs, and even predict potential relapses. …”
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Using random subcarrier weighting for multi-carrier systems physical layer security by Zhou ZHONG, Liang JIN, Kai-zhi HUANG

“…An OFDM security model and a physical layer security transmission scheme were proposed for multi-carrier systems to achieve low probability of interception.In contrast to the resource allocation algorithm which would be disabled at the low SNR,this method designed the subcarrier transmission weighting vectors to randomize the eavesdropper’s signals but not the authorized receiver’s signals.The channel state information was the only character to distinguish authorized receivers and eavesdroppers,which was conducted to guide the weighting vectors design.Simulation results show that the proposed method guarantees that authorized receiver performs transmitted reference demodulation successfully,while the eavesdroppers can not detect the transmitted symbols.…”
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Using random subcarrier weighting for multi-carrier systems physical layer security by Zhou ZHONG, Liang JIN, Kai-zhi HUANG

“…An OFDM security model and a physical layer security transmission scheme were proposed for multi-carrier systems to achieve low probability of interception.In contrast to the resource allocation algorithm which would be disabled at the low SNR,this method designed the subcarrier transmission weighting vectors to randomize the eavesdropper’s signals but not the authorized receiver’s signals.The channel state information was the only character to distinguish authorized receivers and eavesdroppers,which was conducted to guide the weighting vectors design.Simulation results show that the proposed method guarantees that authorized receiver performs transmitted reference demodulation successfully,while the eavesdroppers can not detect the transmitted symbols.…”
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Joint optimization of edge computing and caching in NDN by Yu ZHANG, Min CHENG

“…Named data networking (NDN) is architecturally easier to integrate with edge computing as its routing is based on content names and its nodes have caching capabilities.Firstly, an integrated framework was proposed for implementing dynamic coordination of networking, computing and caching in NDN.Then, considering the variability of content popularity in different regions, a matrix factorization-based algorithm was proposed to predict local content popularity, and deep reinforcement learning was used to solve the the problem of joint optimization for computing and caching resource allocation and cache placement policy with the goal of maximizing system operating profit.Finally, the simulation environment was built in ndnSIM.The simulation results show that the proposed scheme has significant advantages in improving cache hit rate, reducing the average delay and the load on the remote servers.…”
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Constrained Restless Bandits for Dynamic Scheduling in Cyber-Physical Systems by Kesav Ram Kaza, Rahul H. Meshram, Varunkumar Mehta, Shabbir N. Merchant

“…CRMABs can be applied to resource allocation problems in cyber-physical systems, including sensor/relay scheduling. …”
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NOMA Performance Improvement with Downlink Sectorization by Hurianti Vidyaningtyas, . Iskandar, . Hendrawan, Aloysius A. Pramudita

“…The primary objective is to improve system performance by implementing a downlink sectorization strategy, which groups users into distinct sectors to manage interference and optimize resource allocation. A Sequential Power Allocation (SePA) algorithm was introduced to enhance power distribution within sectors, aiming to maximize both user capacity and overall sum rate. …”
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GES: A New Building Damage Data Augmentation and Detection Method Based on Extremely Imbalanced Data and Unique Spatial Distribution of Satellite Images by Xiaopeng Sha, Zhoupeng Guo, Xinqi Sang, Shuyu Wang, Yuliang Zhao

“…The outstanding experimental results demonstrate the effectiveness of the GES algorithm, which is crucial for the accuracy and reliability of postdisaster assessments, thereby promoting more efficient and effective disaster response and resource allocation.…”
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On the Modelling of the Mobile WiMAX (IEEE 802.16e) Uplink Scheduler by Darmawaty Mohd Ali, Kaharudin Dimyati

“…Packet scheduling has drawn a great deal of attention in the field of wireless networks as it plays an important role in distributing shared resources in a network. The process involves allocating the bandwidth among users and determining their transmission order. …”
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Trajectory Optimization for High-Speed and Long-Range Interceptor Based on Improved Adaptive hp Pseudospectral Method by Changxin Luo, Chijun Zhou, Jiong Li, Humin Lei

“…On the other hand, the curvature of the system state curve is used as the criterion to segment the original mesh nonuniformly so that more mesh points can be allocated where the curvature is large. These two points together ensure that the collocation point resources can be used more efficiently in the mesh refinement process. …”
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Enhancing NOMA-MEC Based Intelligent Farming: Performance Analysis and HSBOO Optimization by Arulvizhi Mani, Sriharipriya Krishnan Chandrasekaran, Veerapu Goutham

“…Then, the hybrid secretary bird osprey optimization (HSBOO) algorithm is proposed to analyse an optimization problem whose goal is to minimize the DOP by optimizing the task and power allocation. …”
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Two-layer energy optimization of HVAC system in a cement factory building by Xiaoquan Lu, Kaijie Fang, Yuqi Zhou, Ju Sheng, Hanmiao Chen

“…Secondly, the ground source heat pump is considered. A physical model of the operation of the air-conditioning system is set for the equipment, such as heat pumps, circulating water pumps, and variable frequency fans. …”
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Optimization of emergency logistics for urban flooding with consideration of rainfall effects by Peiwen Zhang, Chenxing Zhang, Pan Zhang, Xuxian Yan, Huawei Yang

“…Second, a vehicle routing model accounting for rainfall and dynamic vehicle speeds is established, solved using a hybrid Genetic Simulated Annealing algorithm to enhance computational efficiency. Ultimately, through simulation with randomly generated calculation examples, it was found that for the supply distribution model, the allocation model that takes into account both the resource scarcity index and the disaster index is more suitable for scenarios with an uneven distribution of disaster severity. …”
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Energy-Efficient Target Area Imaging for UAV-SAR-Based ISAC: Beamforming Design and Trajectory Optimization by Jiayi Zhou, Xiangyin Zhang, Kaiyu Qin, Feng Yang, Libo Wang, Deyu Song

“…To achieve maximum energy efficiency, we jointly optimized the UAV’s trajectory, velocity, communication beamforming, sensing beamforming, and power allocation. Numerical results demonstrate that compared to existing benchmarks and PSO algorithms, the proposed method significantly improves the energy efficiency of UAV-SAR-based ISAC systems through optimized trajectory design.…”
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Radiology AI and sustainability paradox: environmental, economic, and social dimensions by Burak Kocak, Andrea Ponsiglione, Valeria Romeo, Lorenzo Ugga, Merel Huisman, Renato Cuocolo

“…Socially, AI risks perpetuating healthcare disparities through biases in algorithms and unequal access to technology. On the other hand, AI has the potential to improve sustainability in healthcare by reducing low-value imaging, optimizing resource allocation, and improving energy efficiency in radiology departments. …”
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Enhancing Yield Estimation and Field Zoning Accuracy in Precision Agriculture Using Solar-Powered Drone-Based Remote Sensing by Abbas Haider Mohammed, Obaid Mohammed Kadhim, Vittalaiah A.

“…The system processes this data using advanced machine learning algorithms to forecast crop yields and generate detailed field zoning maps, enabling optimized resource allocation and improved farm management. …”
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A Multi-Objective Hybrid Game Pricing Strategy for Integrated Energy Operator-Load Aggregator Alliances Considering Integrated Demand Response by Yunlong Wang, Shan He

“…Secondly, to achieve cooperation between load aggregators, we use Nash bargaining theory to decompose the cooperative game model into two subproblems: maximizing alliance benefits and allocating cooperation benefits. Finally, we use the Alternative Direction Method of Multipliers (ADMM) algorithm combined with dichotomy and compromise programming theory to solve the model, to maximize the interests of all parties in the continuous interaction process. …”
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Modeling Energy Access Challenges in Europe: A Neural Network Approach to Predicting Household Heating Inadequacy Using Macro-Energy Indicators by Monika Kulisz, Justyna Kujawska, Michał Cioch, Wojciech Cel

“…The findings highlight the potential of machine learning to predict the percentage of the population unable to keep their houses adequately warm, enabling policymakers to allocate resources more efficiently and target vulnerable populations. …”
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