Optimizing Medical IoT Disaster Management with Data Compression by Nunudzai Mrewa, Athirah Mohd Ramly, Angela Amphawan, Tse Kian Neo

“…They promise improved data handling, more effective decision-making, and optimized resource allocation across a range of IoT applications. …”
Get full text

Efficient Priority Access to the Shared Commercial Radio with Offloading for Public Safety in LTE Heterogeneous Networks by Chafika Tata, Michel Kadoch

“…The results of the simulation showed that the allocation of radio resources via the courteous mechanism with offloading of new bearers to small cells reduces the rate of blocking bearers and delays the preemption of active bearers present in the LTE HetNets. …”
Get full text

Incorporating Contextual Factors into a Comprehensive Analysis of Operational Efficiency and Service Quality in Healthcare Sector by Utsav Pandey, Sanjeet Singh

“…In the first stage, an output-oriented Data Envelopment Analysis is employed to model the interdependency between operational efficiency and service quality by assessing the allocation of the input resources for achieving these two objectives. …”
Get full text

User Random Access Technology Based on Beam Hopping Satellite Communication System by Zixuan HUANG, Jiaxi ZHOU, Jing ZHANG, Zhengyu ZHANG

“…On the basis of geosynchronous earth orbit multi-beam satellite communication systems, this paper designed the process of user random access to the network and specifi c signaling interaction under the agile beam mechanism, and proposed the scheduling strategy and allocation scheme of the agile signaling beam.This scheme increased the fl exibility of access resource allocation under the premised of ensured that all users could accessed the network, eff ectively improved the utilization rate of satellite network resources.The request of user access to the satellite communication network belongs to the burst type, it is more suitable to use the random competition access, so this paper based on the general random competition access strategy, proposed an adaptive random competition access algorithm based on the heat value, based on the heat value predicted by the network side, the user selects diff erent random access strategies for access.Through the simulation and analysis of the optimization algorithm, it is proved that the algorithm could eff ectively reduced the probability of access collision under various network loads, so as to achieved the purpose of users quickly accessing the network.…”
Get full text

An Optimal Transmission Strategy for Joint Wireless Information and Energy Transfer in MIMO Relay Channels by Dingcheng Yang, Xiaoxiao Zhou, Lin Xiao

“…It is focused on the precoder design and resource allocation strategies for the system to allocate the resources among the nodes in decode-and-forward (DF) mode. …”
Get full text

Multi video stream collaborative adaptive offloading scheme based on equilibrium game theory by Shijun Yuan

“…Firstly, under the constraint of long-term MEC energy budget, the processing cost of video tasks is minimized by jointly optimizing data stream selection decisions, server offloading decisions, bandwidth resource allocation, and computing resource allocation. …”
Get full text

Research on spectrum sensing technologies based on goodness of fit by Guangyue LU, Cai XU, Yinghui YE, Yin MI

“…Cognitive radio technology has achieved the dynamic allocation of spectrum resources,and improves the utilization rate of spectrum resources.Accurate and efficient spectrum sensing is the key step in cognitive radio.Developing a fast and high-performance spectrum sensing method has become an urgent problem to be solved.In recent years,goodness of fit（GOF）theory has been applied widely in the field of spectrum sensing and the effective spectrum sensing technology under small sample point has been implemented.Therefore,the research on spectrum sensing technology based on GOF has very significant value.The development process of GOF in areas of cognitive radio spectrum sensing was summarized,its basic principle common fitting criterion and fitting object were introduced.The simulation comparison of the algorithm was carried under the Gaussian channel and its prospects of further research was forecasted finally.…”
Get full text

A Wind Power Density Forecasting Model Based on RF-DBO-VMD Feature Selection and BiGRU Optimized by the Attention Mechanism by Bixiong Luo, Peng Zuo, Lijun Zhu, Wei Hua

“…Accurate prediction of wind power density (WPD) holds significant practical importance for wind farms, grid operators, and the entire wind power industry, as it facilitates informed decision-making, optimized resource allocation, and enhanced system performance. …”
Get full text

Evaluating regional sustainable energy potential through hierarchical clustering and machine learning by Selen Avcı Azkeskin, Zerrin Aladağ

“…The increase in global energy demand, combined with the adverse environmental impacts of fossil fuels, has highlighted the urgency of transitioning to sustainable energy sources. In large and heterogeneous countries like Türkiye, region-specific analyses of sustainable energy potential (SEP) are crucial for formulating effective policies and optimizing resource allocation. …”
Get full text

A Deep Learning Model for ERP Enterprise Financial Management System by Hui Zhang

“…The proposed model can help enterprises organize their limited resources, realize the scientific allocation of enterprise resources, and create more benefits for enterprises.…”
Get full text

Identification of patients at risk of new onset heart failure: Utilizing a large statewide health information exchange to train and validate a risk prediction model. by Son Q Duong, Le Zheng, Minjie Xia, Bo Jin, Modi Liu, Zhen Li, Shiying Hao, Shaun T Alfreds, Karl G Sylvester, Eric Widen, Jeffery J Teuteberg, Doff B McElhinney, Xuefeng B Ling

“…<h4>Conclusions</h4>Utilizing machine learning modeling techniques on passively collected clinical HIE data, we developed and validated an incident-HF prediction tool that performs on par with other models that require proactively collected clinical data. Our algorithm could be integrated into other HIEs to leverage the EMR resources to provide individuals, systems, and payors with a risk stratification tool to allow for targeted resource allocation to reduce incident-HF disease burden on individuals and health care systems.…”
Get full text

Modified Lagrangian Methods for Separable Optimization Problems by Abdelouahed Hamdi, Aiman A. Mukheimer

“…The proposed scheme is based on a class of modified Lagrangians combined with the allocation of resources decomposition algorithm. Under mild assumptions, we show that the method generates convergent primal-dual sequences.…”
Get full text

Optimization strategy of multi-link energy efficient joint transmission of Wi-Fi 7 by Linyan DAI, Xuming FANG, Rong HE

“…In the multi-link non-simultaneous transmit and receive mode of next-generation Wi-Fi 7 protocol, the transmission ending time of multi-link device (MLD) needs to be aligned on each link, which may require data padding, resulting in the waste of spectrum resources and transmission energy consumption.A high energy efficient MLD transmission algorithm was proposed to improve the total energy efficiency of MLD station (STA) on the premise of meeting the data transmission delay limit.The proposed algorithm was optimized from the following three aspects: link data distribution ratio, communication resource allocation and STA transmission power.Simulation results show that the proposed algorithm can reduce energy consumption by reducing padding data on the premise of guaranteeing the delay limit of data transmission, and the transmission energy efficiency of the system is increased by about 150% compared with that of the baseline scheme.…”
Get full text

Energy-Efficient Layered Video Multicast over OFDM-Based Cognitive Radio Systems by Wenjun Xu, Shengyu Li, Yue Xu, Zhiyong Feng, Jiaru Lin

“…Our objective is to maximize the system EU by jointly optimizing the intersession/interlayer subcarrier assignment and subsequent power allocation. For this purpose, we first perform subcarrier assignment for base layer and enhancement layers using greedy algorithm and then present an optimal power allocation algorithm to maximize the achievable EU using fractional programming. …”
Get full text

OPTIMASI PENJADWALAN PROYEK DENGAN PENYEIMBANGAN BIAYA MENGGUNAKAN KOMBINASI CPM DAN ALGORITMA GENETIKA by Riza Arifudin

“…The allocation of activities is determined based on the earliest start time and latest start time by taking into account the cost of resources in each period of the project. …”
Get full text

Optimization strategies in NOMA-based vehicle edge computing network by Jianbo DU, Nana XUE, Yan SUN, Jing JIANG, Shulei LI, Guangyue LU

“…Nowadays, vehicular network is confronting the challenges to support ubiquitous connections and vast computation-intensive and delay-sensitive smart service for numerous vehicles.To address these issues, non-orthogonal multiple access (NOMA) and mobile edge computing (MEC) are considered as two promising technologies by letting multiple vehicles to share the same wireless resources, and the powerful edge computing resources were adopted at the edge of vehicular wireless access network respectively.A NOMA-based vehicular edge computing network was studied.Under the condition of guaranteeing task processing delay, the joint optimization problem of task offloading, user clustering, computing resource allocation and transmission power control was proposed to minimize the task processing cost.Since the proposed problem was difficult to solve, it was divided into sub-problems, and a low-complexity and easy-to-implement method was proposed to solve it.The simulation results show that compared with other benchmark algorithms, the proposed algorithm performs well in minimizing costs.…”
Get full text

Optimization strategies in NOMA-based vehicle edge computing network by Jianbo DU, Nana XUE, Yan SUN, Jing JIANG, Shulei LI, Guangyue LU

“…Nowadays, vehicular network is confronting the challenges to support ubiquitous connections and vast computation-intensive and delay-sensitive smart service for numerous vehicles.To address these issues, non-orthogonal multiple access (NOMA) and mobile edge computing (MEC) are considered as two promising technologies by letting multiple vehicles to share the same wireless resources, and the powerful edge computing resources were adopted at the edge of vehicular wireless access network respectively.A NOMA-based vehicular edge computing network was studied.Under the condition of guaranteeing task processing delay, the joint optimization problem of task offloading, user clustering, computing resource allocation and transmission power control was proposed to minimize the task processing cost.Since the proposed problem was difficult to solve, it was divided into sub-problems, and a low-complexity and easy-to-implement method was proposed to solve it.The simulation results show that compared with other benchmark algorithms, the proposed algorithm performs well in minimizing costs.…”
Get full text

Fault-Tolerance Distributed Control Plane for Software Defined Networks by Vasily N. Pashkov

“…The proactive backup controller allocation algorithm which allows to minimize the time to repair in the case of a single controller instance failure is discussed. …”
Get full text

Perspective of Chinese GF-1 high-resolution satellite data in agricultural remote sensing monitoring by Qing-bo ZHOU, Qiang-yi YU, Jia LIU, Wen-bin WU, Hua-jun TANG

“…In addition, the thematic product series in terms of land cover, crop allocation, crop growth and production are required to be developed in association with other data sources at multiple spatial scales. …”
Get full text

Joint Caching and Computation in UAV-Assisted Vehicle Networks via Multi-Agent Deep Reinforcement Learning by Yuhua Wu, Yuchao Huang, Ziyou Wang, Changming Xu

“…This requires balancing system energy consumption and resource allocation fairness while maximizing cache hit rate and minimizing task latency. …”
Get full text