Network media streaming offloading algorithm based on QoE in mobile edge network by Zaijian WANG, Hao CHENG

“…Aiming at the problems of high-latency, high energy consumption, high bandwidth, and poor quality of experience (QoE) caused by emerging network media streaming business in mobile edge computing, a computing offloading algorithm based on QoE feedback configuration was proposed.Firstly, both preprocessing and priority were comprehensively considered to maximize network resource utilization.Meanwhile, different weights were assigned to the computation tasks for establishing a resource allocation relationship.Secondly, after comprehensively taking into account deadline, computing resource, power and bandwidth constraint, an QoE model was established where the optimization objective was the weighted sum of task delay, energy consumption and precision, and the method of Lagrange multipliers was utilized to solve the established model.Simulation results indicate that, compared with the deep reinforcement learning-based online offloading algorithm, the proposed algorithm can effectively optimize the resource allocation and better improve the QoE.…”
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Design Improvement of Permanent Magnet Motor Using Single- and Multi-Objective Approaches by Cvetkovski Goga, Petkovska Lidija

“…It often involves solving intricate problems with various parameters and constraints. Engineers use different optimisation methods to tackle these challenges. …”
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Infrastructure of interconnected microgrids: A review by Moshammed Nishat Tasnim, Tofael Ahmed, Shameem Ahmad, GM Shafiullah

“…The microgrid (MG) cluster is one of the feasible ways to integrate large-scale renewable energy sources, address the constrained energy exchange problems, and optimize power system efficiency, resiliency, and reliability. …”
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Development of a justification process for selecting alternative risk reduction measures by Pavlo Saik, Vitalii Tsopa, Olena Yavorska, Serhii Cheberiachko, Mariia Brezitska, Andrii Yavorskyi, Vasyl Lozynskyi, Vasyl Lozynskyi

“…An eleven-step risk management process was designed to determine alternative preventive measures, characterized by feedback loops that enable the selection of optimal risk reduction strategies.ResultsThis study presents algorithms for solving three types of decision-making problems regarding the selection of combinations of preventive measures from a defined set of alternatives. …”
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Modern Features of Digitalization Implementation in Small Business in the Trade Sector by Popov Oleksandr S., Makarov Serhii A.

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Oral Health Needs Assessment of Pregnant Women/Mothers in Berkeley: A Mixed-Methods Approach by Karen Raju, Baharak Amanzadeh, Karen Sokal-Gutierrez

“…A community focus group further explored dental service utilization, and content analysis identified themes.Results Overall, 43% of women reported dental problems during pregnancy. While 80% of the women reported that their prenatal medical provider recommended a prenatal dental visit and 75% knew that their health insurance covered dental visits, 41% did not have a prenatal dental visit. …”
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A reactive hybrid product-driven system for rescheduling in a manufacturing planning by Patricio Sáez Bustos, Victor Parada Daza

“…Goal: This research aims to develop a novel scheduling model integrating the intelligent product paradigm of a product-driven system (PDS) with the shifting bottleneck heuristic (SBH) to enhance rescheduling efficiency and adaptability in dynamic job shop scheduling problems with disruptions (JSSP-D). Design / Methodology / Approach: The model employs agent-based modeling, where products act as autonomous agents in rescheduling decisions. …”
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Supply Chain Decision Model Based on Blockchain: A Case Study of Fresh Food E-Commerce Supply Chain Performance Improvement by Zi-Yu Liu, Peng-Tao Guo

“…Aiming at the problems in the performance improvement of the fresh food e-commerce supply chain, in this article, the author defines the constraints on the performance improvement of the fresh food e-commerce supply chain and determines the demand to improve performance in quality and safety, logistics traceability, resource integration, and benefit distribution. …”
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Pelaksanaan Redistribusi Tanah Eks Hak Guna Usaha by Zaenal Arifin, Nikmatul Wachidah

“…One of the problems in the land sector in Indonesia is that there is still an imbalance in terms of land ownership which is still controlled by the owners of capital. …”
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Thermal-aware resource allocation in earliest deadline first using fluid scheduling by Muhammad Naeem Shehzad, Qaisar Bashir, Ghufran Ahmad, Adeel Anjum, Muhammad Naeem Awais, Umar Manzoor, Zeeshan Azmat Shaikh, Muhammad A Balubaid, Tanzila Saba

“…Thermal issues in microprocessors have become a major design constraint because of their adverse effects on the reliability, performance and cost of the system. …”
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Managing Surcharge Risk in Strategic Fleet Deployment: A Partial Relaxed MIP Model Framework with a Case Study on China-Built Ships by Yanmeng Tao, Ying Yang, Shuaian Wang

“…We formulate the problem as a bi-objective mixed-integer programming model and prove that the ship chartering constraint matrix is totally unimodular, enabling the reformulation of the model into a partially relaxed MIP that preserves optimality while improving computational efficiency. …”
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Improved Genetic Algorithm of Helical Gear Reducer and 3D Modeling by Hao Liping

“…Based on the penalty function method combined with the improved genetic algorithm,the multi-objective and multi-restriction reliability optimal design of the reducer with hardened tooth surface and modified helical cylinder gear is carried out.According to the properties of the constraint conditions,the different methods are used for effectively avoiding the local optimum problem.The accurate three-dimensional description of the involute gear is carried out by the establishment of the tooth profile curve coordinate equation of the involute gear.According to the interface technology of VB and SolidWorks,the three-dimensional parametric modeling of the involute gear is achieved based on the optimal design results.…”
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Network media streaming offloading algorithm based on QoE in mobile edge network by Zaijian WANG, Hao CHENG

“…Aiming at the problems of high-latency, high energy consumption, high bandwidth, and poor quality of experience (QoE) caused by emerging network media streaming business in mobile edge computing, a computing offloading algorithm based on QoE feedback configuration was proposed.Firstly, both preprocessing and priority were comprehensively considered to maximize network resource utilization.Meanwhile, different weights were assigned to the computation tasks for establishing a resource allocation relationship.Secondly, after comprehensively taking into account deadline, computing resource, power and bandwidth constraint, an QoE model was established where the optimization objective was the weighted sum of task delay, energy consumption and precision, and the method of Lagrange multipliers was utilized to solve the established model.Simulation results indicate that, compared with the deep reinforcement learning-based online offloading algorithm, the proposed algorithm can effectively optimize the resource allocation and better improve the QoE.…”
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Power system corrective control considering topology adjustment: An evolution-enhanced reinforcement learning method by Haoran Zhang, Peidong Xu, Ji Qiao, Yuxin Dai, Yuyang Bai, Tianlu Gao, Fan Yang, Jun Zhang, Jun Hao, Wenzhong Gao

“…Conventional corrective control methods often struggle to balance computational speed with control optimality. In contrast, deep reinforcement learning facilitates faster control. …”
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DFT-analysis of protolytic equivalents of 5-(aryl)-4-(methyl,amino)-1,2,4-triazole-3(2H)-thione by O. A. Bihdan, N. A. Alk Khalaf

“…The same method and established basis were used to optimize the geometry. Solvation calculations were performed in the framework of continuous models (D-PCM, C-PCM, IEF-PCM, IPCM, SCIPCM) of discrete and combined models using the Hartree–Fock constraint method, the method of density functional theory B3LYP with basic sets 6-31G (d), 6-31G (d,p), 6-31G++ (d,p), cc-pVDZ, as well as semi-empirical methods in the MOPAC6 package. …”
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Data collection algorithm for mobile sink in delay-constrained network by Xian-ling LU, Ying-ying WANG

“…In real-time applications,the delay constraint limits the speed and the trajectory of mobile sink which in consequence restrains the communication time between the sensor nodes and the sink.So it is difficult to balance delay requirement with the data collecting efficiency.To address the problem above,an efficient data collection algorithm MSDC for sensor networks is proposed.It finds an optimal sink trajectory in the data buffering and uses the mobility of sink to improve the data collection performance in the limited time.The simulation results show that the algorithm can improve the network data collection capacity throughput,reduce the energy consumption and prolong the network lifetime.…”
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Energy-efficiency based buffer-aided relay selection scheme in SWIPT by Xinlong HONG, Xiaorong XU, Yingbiao YAO

“…Aiming at the problem of buffer-aided half-duplex (HD) relay selection in simultaneous wireless information and power transfer(SWIPT) with energy constraint,energy-efficiency priority based buffer-aided relay selection scheme in SWIPT was investigated.Moreover,SWIPT system energy efficiency was studied,and an appropriate mathematical model was constructed to perform energy efficiency based buffer-aided optimal receive/transmit relay selection in SWIPT.Numerical results show that the proposed scheme effectively reduces SWIPT outage probability and achieves the tradeoff between energy efficiency and outage performance in buffer-aided SWIPT.…”
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Joint SAR–Optical Image Compression with Tunable Progressive Attentive Fusion by Diego Valsesia, Tiziano Bianchi

“…Moreover, we show how end-to-end optimization of the joint compression model, including its modality tradeoff prompt, allows for better accuracy on downstream tasks leveraging multimodal inference when a constraint on the rate is to be met.…”
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Multi-Scale Modeling of Polymeric Metamaterials: Bridging Design and Performance—A Review by Siti Nur Sakinah Jamaludin, Nik Mohd Izual Nik Ibrahim, Mohd Zaidi Azir, Noor Mazni Ismail, Shahnor Basri

“…However, for them to perform optimally, the relations between their micro and macro geometrical configurations need to be clearly understood. …”
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K-LM: Knowledge Augmenting in Language Models Within the Scholarly Domain by Vivek Kumar, Diego Reforgiato Recupero, Rim Helaoui, Daniele Riboni

“…But two significant constraints, the available training data size and the understanding of domain-specific context, hamper the pre-trained language models from optimal and reliable performance. …”
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