To see the other types of publications on this topic, follow the link: Capacity constrained resource (CCR).
Journal articles on the topic 'Capacity constrained resource (CCR)'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the top 50 journal articles for your research on the topic 'Capacity constrained resource (CCR).'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.
1
Zhang, Yanshuo, Liqiu Li, Hengyu Bao, Xiaohong Qin, Zhiyuan Zhang, and Xiaoyi Duan. "IAESR: IoT-oriented authenticated encryption based on iShadow round function." PeerJ Computer Science 11 (June 11, 2025): e2947. https://doi.org/10.7717/peerj-cs.2947.
Full textAbstract:
With the growing popularity of the Internet of Things (IoT) devices and the widespread application of embedded systems, the demand for security and resource efficiency in these devices is also increasing. Traditional authenticated encryption (AE) algorithms are often unsuitable for lightweight devices due to their complexity and resource consumption, creating a need for lightweight AE algorithms. Lightweight devices typically have limited processing power, storage capacity, and energy resources, which necessitates the design of simple and efficient encryption algorithms that can function within these constraints. Despite these resource limitations, security remains of paramount importance. Therefore, lightweight AE algorithms must minimize resource consumption while ensuring adequate security. This article presents a theoretical lightweight AE scheme based on Shadow, a lightweight block encryption algorithm, to address the requirements for secure communication in resource-constrained environments. The scheme first enhances the Shadow algorithm by introducing the improved Shadow (iShadow) algorithm. It then combines this with the duplex sponge structure to propose the IoT-oriented authenticated encryption based on the iShadow round function (IAESR). The integration of iShadow with the duplex sponge structure achieves a balance between security and efficiency through three key mechanisms: (1) The sponge’s capacity (64/128-b for IAESR-32/64) provides provable indistinguishability under chosen-plaintext attack (IND-CPA) and chosen-ciphertext attack (IND-CCA) security bounds, effectively resisting generic attacks with an adversarial advantage limited to O(q2/2c); (2) the duplex mode’s single-pass processing reduces memory overhead by reusing the permutation state; and (3) iShadow’s ARX operations reduce energy consumption to 0.4–0.5 µJ/byte on 32-b microcontrollers, outperforming AES-GCM by 20–30%. Empirical tests on an Intel i5-1035G1 CPU demonstrate stable execution times. This design ensures the security and integrity of communication while balancing efficiency, and resource utilization. This design ensures IND-CCA secure confidentiality and integrity against plaintext (INT-PTXT), as demonstrated by the security bounds of the sponge construction. Specifically, IAESR guarantees both confidentiality and authenticity. Additionally, it is particularly well-suited for scenarios with lightweight requirements, such as those found in the IoT.
2
Sumtsov, A., and O. Ponomarenko. "Forecasting The Future Characteristics of Freight Cars Based on Statistical Information." IOP Conference Series: Earth and Environmental Science 1499, no. 1 (2025): 012073. https://doi.org/10.1088/1755-1315/1499/1/012073.
Full textAbstract:
Abstract The research focuses on forecasting prospective technical characteristics of freight cars that meet the evolving demands of the modern railway industry. An analysis of the structure of the existing freight car fleet on Ukrainian railways highlights a significant need for specialized rolling stock for transporting grain crops. Under current circumstances, identifying methodologies for determining the technical characteristics of freight cars has become essential. One of the most relevant and effective approaches involves forecasting key technical characteristics based on the modelling processes of freight cars under limited resource conditions, employing a continuous exponential function. Using the growth rate function of the projected freight car metric, a logistic characteristic is determined, which assumes an exponential form under unlimited resources and a linear form under constrained conditions. Based on the current needs of the domestic railway freight car fleet, the forecasting of prospective characteristics will be conducted using the example of grain hopper cars and relying on statistical information. According to the proposed methodology and based on the obtained data, the expected value of the specific volume, which is the ratio of the freight car body to its load capacity, was determined, taking into account the degree of reliability of the forecast and the calculation of the forecast error. The calculations demonstrate high accuracy of the forecast achieved by this methodology. As a result, it becomes possible to evaluate the required freight car characteristics for the projected year with a high degree of reliability.
3
Wu, Horng‐Huei, Ching‐Piao Chen, Chih‐Hung Tsai, and Kuo‐Wei Huang. "Research on the Throughput Impact of the Strategic Stabilizing Capacity Constraint Resources by Prolonging Planning Period." Asian Journal on Quality 10, no. 2 (2009): 29–42. http://dx.doi.org/10.1108/15982680980001443.
Full textAbstract:
The issue of capacity constraint resources (CCR) or bottlenecks wandering in product mix decision by applying Theory of Constraints (TOC) management philosophy has been mentioned and demonstrated in several papers. In this study, the effect for prolonging the planning period (PPP) so as to stabilize the CCR is investigated. The results show that the effect for PPP alternative will be positive or negative which is depending on the environment condition. However, a majority cases which have positive effect for PPP alternative can be recognized prior knowing the marketing demand, which is significant in the real application.
4
Salsavira, Nardha Livia, Evi Yuliawati, and Nur Rahmawati. "Integration of Rough Cut Capacity Planning (RCCP) and Capacity Constraint Resources (CCR) to Minimize the Risk of Uncertainty in Fulfilling Production Material Supply." Widya Teknik 22, no. 2 (2023): 60–65. http://dx.doi.org/10.33508/wt.v22i2.4959.
Full textAbstract:
Managing the production capability of a company is undoubtedly the main concentration in the manufacturing industry. Industries must consider the materials and resources supplied for making a master production schedule. The lack of material supply from a supplier results in the inefficiency of the production process. The supply disruption of raw materials results in problems for the rest of the stages in the production process. As a result, companies experience difficulties in meeting the predetermined target. This research used an integration of RCCP and CCR to solve the problem. Optimization of CCR implies the TOC (theory of constraint) principle by reducing the percentage of overload until reaching a balanced (optimal) condition. This research aims to balance and optimize the ongoing production process. It took place in a manufacturing company that produces building materials serving the market in Indonesia. The results show that during the observation period, the current production system has experienced system overload for about 70% of the production period. The results of the RCCP analysis provide recommendations for improving the master production schedule to increase the effectiveness of the production system.
5
Toktas, Berkin, Joyce W. Yen, and Zelda B. Zabinsky. "Addressing capacity uncertainty in resource-constrained assignment problems." Computers & Operations Research 33, no. 3 (2006): 724–45. http://dx.doi.org/10.1016/j.cor.2004.07.015.
Full text
6
Islam, Kamrul, Keitaro Maeno, Ryosuke Yokoi, et al. "Geological resource production constrained by regional water availability." Science 387, no. 6739 (2025): 1214–18. https://doi.org/10.1126/science.adk5318.
Full textAbstract:
Although the global economy requires geological resource mining, production has substantial environmental impacts, including the use of regional available water. In this study, we shed light on the global production capacity of 32 mined geological resources, considering regional water availability as a constraint. We found that current resource mining greatly exceeds regional water constraints for several, notably copper (37% of current production exceeds available water capacity) in 2010. Changing the location of production to regions of lower water stress would alleviate current exceedances of water constraints; however, considering economic factors shows that this is not always feasible. Future demand for geological resources is expected to require a considerable increase in water consumption. Considering the constraints of water resources in geological resource production is crucial for sustainability.
7
Maritz, J. E., and K. Jooste. "Developing nurse educators’ research capacity in a resource-constrained environment." African Journal of Health Professions Education 12, no. 3 (2020): 97. http://dx.doi.org/10.7196/ajhpe.2020.v12i3.1370.
Full text
8
Grant, Neil, Ajay Gambhir, Shivika Mittal, Chris Greig, and Alexandre C. Köberle. "Enhancing the realism of decarbonisation scenarios with practicable regional constraints on CO2 storage capacity." International Journal of Greenhouse Gas Control 120 (September 15, 2022): 103766. https://doi.org/10.1016/j.ijggc.2022.103766.
Full textAbstract:
Most low-carbon scenarios produced by integrated assessment models deploy substantial amounts of carbon capture and storage (CCS). These models generally assume that CO<sub>2</sub> storage is a low-cost and globally ubiquitous resource. Here we challenge this assumption, introducing a CO<sub>2</sub> storage potential which accounts for the financial, contractual, and institutional barriers to CO<sub>2</sub> storage, which we term the investable potential. We provide a first estimate of this investable potential and utilise a global energy system model to explore the implications for global and regional mitigation pathways. Our results suggest that low-carbon scenarios which assume abundant CO<sub>2</sub> storage may substantially overestimate the role of CCS in deep decarbonisation, particularly in key regions such as China and India. Limited CO<sub>2</sub> storage leads to mitigation pathways with faster emission reductions and greater reliance on renewable energy for decarbonisation. We demonstrate that the optimal use of CCS depends heavily on the availability of CO<sub>2</sub> storage, with different use-cases prioritised at different scales of storage availability. Finally, we present exploratory analysis on the potential for cross-border trade in captured CO<sub>2</sub> to match sources and sinks. The results of this analysis can help calibrate expectations and inform policy decisions around the role of CCS in addressing climate change.
9
Rahman, Mohammad Anwar, Abu Raihan, and Rajitha Nakka. "Emerging Information Technology and Knowledge Management Capacity for Nonprofit Organizations." International Journal of Public Administration in the Digital Age 1, no. 4 (2014): 52–69. http://dx.doi.org/10.4018/ijpada.2014100104.
Full textAbstract:
Advances in information technology (IT) improve functionality for major nonprofit organizations. Due to increased expectations, service needs and peer competition, nonprofits must prepare to incorporate IT-related resources such as emerging technology planning, web- based collaborative processes and constrained resource planning to obtain technological innovation and higher performance. The effective use of constrained resource management is crucial for the success of nonprofits. Although nonprofit organizations are familiar with common IT resources and applications, wide application of new methods and technology is required to build inter-dependent information resources and real-time decision making capacity. Nonprofit resource planning such as tracking inventory level, planning replenishment, and receiving continuous information updates can be measured through enterprise resource planning (ERP) and electronic supply chain (e-SC) management. IT implementation of ERP and e-SC in nonprofits contribute to improve collaboration among donors, partner organizations, governmental agencies, staff members, volunteers, local experts, clients and recipients. This article addresses critical IT procedures and emerging IT practices to improve nonprofit performance. The overall goal is to focus IT implementation in nonprofits to develop road maps to guide organization pathways, track progress and measure success for public services.
10
Schnabel, André, Carolin Kellenbrink, and Stefan Helber. "Profit-oriented scheduling of resource-constrained projects with flexible capacity constraints." Business Research 11, no. 2 (2018): 329–56. http://dx.doi.org/10.1007/s40685-018-0063-5.
Full text
11
Wang, Min, and Jinhua Zhao. "Monopoly extraction of a nonrenewable resource facing capacity constrained renewable competition." Economics Letters 120, no. 3 (2013): 503–8. http://dx.doi.org/10.1016/j.econlet.2013.06.013.
Full text
12
Lei, Hong Jun, Lina Yin, and Bei Dou Xi. "Scenario Analysis on the Water Environment Carrying Capacity of Wuliangsuhai Lake Basin." Advanced Materials Research 616-618 (December 2012): 1388–93. http://dx.doi.org/10.4028/www.scientific.net/amr.616-618.1388.
Full textAbstract:
Rapid social-economic development and the ever-increasing water pollutant discharge of Wuliangsuhai lake basin made the water quality deteriorated; the lake eutrophication intensified and heavily restricted the sustainable development of the watershed’s social economy. Wuliangsuhai lake basin was selected as the study area. By the use of system dynamics simulation model the water environment and social economy were connected, and three kinds of improved scenarios (resource-environment constrained type, social economy constrained type, coordinated development type) were proposed based on the inertial and planning schemes. Ten indexes of water environment carrying capacity, i.e. the GDP per capita, ratio of industrial output to GDP, et al., were selected, and fuzzy comprehensive evaluation method was used. Results showed that, the water environmental capacity utilization ratios of COD and TN in the resource-environment constrained scenario were 69.5% and 57.9% in 2020, respectively. And the water environment carrying capacity index increased from 0.19 in 2008 to 0.31 in 2020. Under the coordinated development scenario, the surplus environmental capacity of COD and TN were 1755.46t/a, 260.21t/a respectively, and the water environment carrying capacity index was up to 0.29 in 2020. The sustainable development plan was proposed and some feasible suggestions and strategies were put forward.
13
Németh, Balázs, and Balázs Sonkoly. "Advanced Computation Capacity Modeling for Delay-Constrained Placement of IoT Services." Sensors 20, no. 14 (2020): 3830. http://dx.doi.org/10.3390/s20143830.
Full textAbstract:
A vast range of sensors gather data about our environment, industries and homes. The great profit hidden in this data can only be exploited if it is integrated with relevant services for analysis and usage. A core concept of the Internet of Things targets this business opportunity through various applications. The virtualized and software-controlled 5G networks are expected to achieve the scale and dynamicity of communication networks required by Internet of Things (IoT). As the computation and communication infrastructure rapidly evolves, the corresponding substrate models of service placement algorithms lag behind, failing to appropriately describe resource abstraction and dynamic features. Our paper provides an extension to existing IoT service placement algorithms to enable them to keep up with the latest infrastructure evolution, while maintaining their existing attributes, such as end-to-end delay constraints and the cost minimization objective. We complement our recent work on 5G service placement algorithms by theoretical foundation for resource abstraction, elasticity and delay constraint. We propose efficient solutions for the problems of aggregating computation resource capacities and behavior prediction of dynamic Kubernetes infrastructure in a delay-constrained service embedding framework. Our results are supported by mathematical theorems whose proofs are presented in detail.
14
Ali, Mumtaz, Muhammad Arshad, Ijaz Uddin, Muhammad Binsawad, Abdullah Bin Sawad, and Osama Sohaib. "Efficient context-aware computing: a systematic model for dynamic working memory updates in context-aware computing." PeerJ Computer Science 10 (June 12, 2024): e2129. http://dx.doi.org/10.7717/peerj-cs.2129.
Full textAbstract:
The expanding computer landscape leads us toward ubiquitous computing, in which smart gadgets seamlessly provide intelligent services anytime, anywhere. Smartphones and other smart devices with multiple sensors are at the vanguard of this paradigm, enabling context-aware computing. Similar setups are also known as smart spaces. Context-aware systems, primarily deployed on mobile and other resource-constrained wearable devices, use a variety of implementation approaches. Rule-based reasoning, noted for its simplicity, is based on a collection of assertions in working memory and a set of rules that regulate decision-making. However, controlling working memory capacity efficiently is a key challenge, particularly in the context of resource-constrained systems. The paper’s main focus lies in addressing the dynamic working memory challenge in memory-constrained devices by introducing a systematic method for content removal. The initiative intends to improve the creation of intelligent systems for resource-constrained devices, optimize memory utilization, and enhance context-aware computing.
15
Sable, Nilesh P., Vijay U. Rathod, Pallavi Parlewar, Smita B. Rathod, Santosh T. Waghmode, and Rahul R. Rathod. "Efficient lightweight cryptography for resource-constrained WSN nodes." Journal of Discrete Mathematical Sciences and Cryptography 27, no. 2 (2024): 349–59. http://dx.doi.org/10.47974/jdmsc-1888.
Full textAbstract:
In Wireless Sensor Networks (WSN), where resources are scarce, lightweight cryptography is crucial and difficult. The Constrained Application Protocol (CoAP), Field-Programmable Gate Array (FPGA) technology, and a modified RC5 algorithm are used in this study to achieve efficient encryption for WSN nodes. WSN are essential for monitoring temperature, humidity, vibrations, and seismic activity. However, processing capacity, memory, and energy constraints make data security difficult in these networks. CoAP, FPGA, and a modified RC5 algorithm provide security, computational load reduction, and energy efficiency in resource-limited WSN. This research is crucial because it creates cryptographic mechanisms that accommodate WSN unique needs. By protecting data integrity and confidentiality, these mechanisms ensure data transmission security and privacy. Data security and efficiency in WSN require innovative cryptographic, FPGA-based hardware acceleration, and protocol optimization solutions. These methods could improve these vital sensing networks. This research lays the foundation for protecting the accuracy and security of WSN node data collected and transmitted with limited resources while optimizing resource allocation.
16
Padmasiri, Heshan, Jithmi Shashirangana, Dulani Meedeniya, Omer Rana, and Charith Perera. "Automated License Plate Recognition for Resource-Constrained Environments." Sensors 22, no. 4 (2022): 1434. http://dx.doi.org/10.3390/s22041434.
Full textAbstract:
The incorporation of deep-learning techniques in embedded systems has enhanced the capabilities of edge computing to a great extent. However, most of these solutions rely on high-end hardware and often require a high processing capacity, which cannot be achieved with resource-constrained edge computing. This study presents a novel approach and a proof of concept for a hardware-efficient automated license plate recognition system for a constrained environment with limited resources. The proposed solution is purely implemented for low-resource edge devices and performed well for extreme illumination changes such as day and nighttime. The generalisability of the proposed models has been achieved using a novel set of neural networks for different hardware configurations based on the computational capabilities and low cost. The accuracy, energy efficiency, communication, and computational latency of the proposed models are validated using different license plate datasets in the daytime and nighttime and in real time. Meanwhile, the results obtained from the proposed study have shown competitive performance to the state-of-the-art server-grade hardware solutions as well.
17
Annan, Jessica, Rita Henderson, Mandi Gray, Rhonda Gail Clark, Chris Sarin, and Kerry Black. "A Review of Wastewater-Based Epidemiology for the SARS-CoV-2 Virus in Rural, Remote, and Resource-Constrained Settings Internationally: Insights for Implementation, Research, and Policy for First Nations in Canada." International Journal of Environmental Research and Public Health 21, no. 11 (2024): 1429. http://dx.doi.org/10.3390/ijerph21111429.
Full textAbstract:
Wastewater-based epidemiology (WBE) is regarded as a support tool for detecting and assessing the prevalence of infectious diseases at a population level. For rural, remote, and resource-constrained communities with little access to other public health monitoring tools, WBE can be a low-cost approach to filling gaps in population health knowledge to inform public health risk assessment and decision-making. This rapid review explores and discusses unique considerations of WBE in key settings, with a focus on the detection of the SARS-CoV-2 virus, which has rapidly expanded WBE infrastructure globally. To frame our understanding of possibilities for WBE with First Nations in Alberta, we address the following questions: What are the unique considerations and challenges for WBE under similar contexts in rural, remote, or resource-constrained settings? What are the resources and expertise required to support WBE? This review identifies several unique considerations for WBE in rural, remote, and resource-constrained communities, including costs, accessibility, operator capacity, wastewater infrastructure, and data mobilization—highlighting the need for equity in WBE. In summary, most resource-constrained communities require additional support from external research and/or governmental bodies to undertake WBE.
18
Radovilsky, Zinovy, and Micah Frankel. "IDENTIFYING BUFFER SIZE IN FRONT OF CAPACITY-CONSTRAINED RESOURCE WITH PARALLEL PROCESSES." International Journal of Business Research 13, no. 4 (2013): 189–98. http://dx.doi.org/10.18374/ijbr-13-4.18.
Full text
19
������� and Igor Tsarkov. "Evaluation Of Methods For Optimizing A Resource-Constrained Project. Part 2." Russian Journal of Project Management 2, no. 4 (2013): 3–13. http://dx.doi.org/10.12737/1958.
Full textAbstract:
Developing this subject, the author evaluates efficiency of various straight-through priority rules, used in constructive heuristic methods meant for reducing completion periods of projects with constrained renewable resources. Special attention is given to the so-called hybrid algorithms and dependence between efficiency of priority rules and network capacity. Efficiency of rules is analyzed based on sets of 480 PSPLIB projects: J30, J60, J90.
20
Kim, Junsu, and Suhyun Kim. "Salient Frequency-aware Exemplar Compression for Resource-constrained Online Continual Learning." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 17 (2025): 17895–903. https://doi.org/10.1609/aaai.v39i17.33968.
Full textAbstract:
Online Class-Incremental Learning (OCIL) enables a model to learn new classes from a data stream. Since data stream samples are seen only once and the capacity of storage is constrained, OCIL is particularly susceptible to Catastrophic Forgetting (CF). While exemplar replay methods alleviate CF by storing representative samples, the limited capacity of the buffer inhibits capturing the entire old data distribution, leading to CF. In this regard, recent papers suggest image compression for better memory usage. However, existing methods raise two concerns: computational overhead and compression defects. On one hand, computational overhead can limit their applicability in OCIL settings, as models might miss learning opportunities from the current streaming data if computational resources are budgeted and preoccupied with compression. On the other hand, typical compression schemes demanding low computational overhead, such as JPEG, introduce noise detrimental to training. To address these issues, we propose Salient Frequency-aware Exemplar Compression (SFEC), an efficient and effective JPEG-based compression framework. SFEC exploits saliency information in the frequency domain to reduce negative impacts from compression artifacts for learning. Moreover, SFEC employs weighted sampling for exemplar elimination based on the distance between raw and compressed data to mitigate artifacts further. Our experiments employing the baseline OCIL method on benchmark datasets such as CIFAR-100 and Mini-ImageNet demonstrate the superiority of SFEC over previous exemplar compression methods in streaming scenarios.
21
Chen, James C., Wun Hao Jaong, Cheng Ju Sun, Hung Yu Lee, Jenn Sheng Wu, and Chung Chao Ku. "Applying Genetic Algorithm to Resource Constrained Multi-Project Scheduling Problems." Key Engineering Materials 419-420 (October 2009): 633–36. http://dx.doi.org/10.4028/www.scientific.net/kem.419-420.633.
Full textAbstract:
Resource-constrained multi-project scheduling problems (RCMPSP) consider precedence relationship among activities and the capacity constraints of multiple resources for multiple projects. RCMPSP are NP-hard due to these practical constraints indicating an exponential calculation time to reach optimal solution. In order to improve the speed and the performance of problem solving, heuristic approaches are widely applied to solve RCMPSP. This research proposes Hybrid Genetic Algorithm (HGA) and heuristic approach to solve RCMPSP with an objective to minimize the total tardiness. HGA is compared with three typical heuristics for RCMPSP: Maximum Total Work Content, Earliest Due Date, and Minimum Slack. Two typical RCMPSP from literature are used as a test bed for performance evaluation. The results demonstrate that HGA outperforms the three heuristic methods in term of the total tardiness.
22
Basson, Fiacre, Djibril S. Dayamba, Joel Korahire, Jean M. Dipama, Francois Zougmore, and Tiga Neya. "Institutional Barriers to Climate Change Adaptation in Burkina Faso: How could We Go around Them?" Journal of Sustainable Development 13, no. 5 (2020): 67. http://dx.doi.org/10.5539/jsd.v13n5p67.
Full textAbstract:
Despite the existence of a National Adaptation Plan to climate change (NAP) in Burkina Faso, operationalizing adaptation still face a number of challenges. The current study focused on identifying institutional barriers to the strategic objectives of climate change adaptation (CCA) using a literature review and semi-structured interviews conducted with key stakeholders / resource persons involved in the implementation of the NAP. The results revealed a weak collaboration between the NAP steering institution and the ministerial departments covered by the NAP. This situation, first, hampers the implementation of adaptation actions and secondly, the monitoring reporting and verification of adaptation initiatives. Further, the analysis revealed that lack of financial resources poses constraints to many actions that were to be taken by the steering institution and therefore creates poor ownership of the NAP by the main stakeholders that should be actively involved in the NAP process. To cope with the various constraints, it is necessary to have strong political support in many aspects. For instance, it was judged that institutionalizing the role of climate change (CC) focal point within the ministries and embedding NAP monitoring and evaluation (M&amp;E) objectives and indicators with existing functional M&amp;E systems in the sectorial ministries will ease CCA actions integration in operational plans, their implementation and documentation. Moreover, it is relevant to have a continuous capacity building plan to keep stakeholders updated on climate change issues as this will support them in their mandate of mainstreaming CC into ministerial operational plans and lead to optimal CCA implementation and monitoring.
23
Roussel, Stéphanie, Gauthier Picard, Cédric Pralet, and Sara Maqrot. "Conflicting Bundle Allocation with Preferences in Weighted Directed Acyclic Graphs: Application to Orbit Slot Allocation Problems." Systems 11, no. 6 (2023): 297. http://dx.doi.org/10.3390/systems11060297.
Full textAbstract:
We introduce resource allocation techniques for problems where (i) the agents express requests for obtaining item bundles as compact edge-weighted directed acyclic graphs (each path in such a graph is a bundle whose valuation is the sum of the weights of the traversed edges), and (ii) the agents do not bid on the exact same items but may bid on conflicting items that cannot be both assigned or that require accessing a specific resource with limited capacity. This setting is motivated by real applications such as Earth observation slot allocation, virtual network functions, or multi-agent path finding. We model several directed path allocation problems (vertex-constrained and resource-constrained), investigate several solution methods (qualified as exact or approximate, and utilitarian or fair), and analyze their performances on an orbit slot ownership problem, for realistic requests and constellation configurations.
24
Laing, Angus W., and Cora Shiroyama. "Managing capacity and demand in a resource constrained environment: lessons for the NHS?" Journal of Management in Medicine 9, no. 5 (1995): 51–67. http://dx.doi.org/10.1108/02689239510096811.
Full text
25
Hlongwane, Naomi, and Lieketseng Ned. "Quality of life in long-term care facilities in Gauteng, South Africa: an institutional ethnographic study of older adults’ perspectives." BMJ Open 15, no. 5 (2025): e099448. https://doi.org/10.1136/bmjopen-2025-099448.
Full textAbstract:
IntroductionThe increasing demand for long-term care (LTC) services in resource-constrained settings has highlighted significant gaps in both the quality of care and the quality of life (QoL) for older adults. The objective of this study is to examine the lived experiences of QoL among older individuals in LTC facilities.MethodsUsing an institutional ethnographic approach, we conducted indepth interviews with 20 residents, aged 62–98 years, across five LTC facilities in Gauteng, South Africa. Indexing and mapping were used to identify emergent categories. The authors used reflexive methods, and member checking was conducted.ResultsAnalysis revealed seven interconnected dimensions of QoL: health and physical well-being, social connectedness and companionship, spiritual fulfilment and faith, independence and autonomy, dignity and respect, emotional well-being and acceptance and adaptation. These aspects are closely linked to institutional factors such as staff capacity, resource allocation and care policies. Participants emphasised the importance of meaningful social interactions, spiritual practices, autonomy and dignity in enhancing their QoL.ConclusionThe study underscores the complex relationship between institutional care practices and the QoL of older adults in resource-constrained environments. Findings advocate for culturally sensitive, person-centred care strategies to improve the multifaceted QoL of LTC residents, offering valuable insights for policy reforms and interventions in similar resource-constrained settings.
26
Lawan, Aliyu Abubakar, and Dorcas Irewole Ibinaiye. "Innovative Approaches to Strengthening Postdoctoral Mentorship in Resource-Constrained African Universities." International Journal of Information Systems and Social Change 16, no. 1 (2025): 1–14. https://doi.org/10.4018/ijissc.368855.
Full textAbstract:
This study investigates innovative strategies to improve postdoctoral mentorship in resource-limited African universities, addressing significant challenges in establishing effective mentorship structures. A comprehensive literature review using PubMed, Scopus, Web of Science, AJOL, and Google Scholar, along with case studies from academic publications and institutional reports, was conducted. Thematic analysis identified challenges, best practices, and novel approaches. The review highlights effective methods to enhance mentorship programs, advocating for a reassessment of mentorship practices in African universities, and emphasizes mentorship models, collaborative frameworks, and technological applications. The study stresses the importance of innovative mentorship strategies to support early-career researchers in resource-constrained environments, offering insights for policymakers and academic leaders to bolster research capacity.
27
Bhattarai, Bimal. "Capacity Building and Retention of Human Resource: The Challenges and Opportunities in Nepalese Community Campuses." BARUN Journal 2 (May 9, 2025): 1–16. https://doi.org/10.3126/barunj.v2i01.78303.
Full textAbstract:
Community campuses in Nepal face significant human resource challenges, particularly in recruitment, retention, and capacity building, due to limited financial resources and lack of professional development opportunities. Addressing these issues through HR innovations, such as digital tools and collaborative partnerships, is essential for enhancing institutional sustainability and employee well-being. This study aims to analyze the human resource challenges, policies, and innovative strategies for improving recruitment, capacity building, and staff retention in resource-constrained community campuses in Nepal. The study employs a qualitative review design, analyzing secondary data from peer-reviewed sources to explore recruitment, capacity building, and retention challenges in Nepalese community campuses using a thematic approach and ethical standards. This study is significant in improving human resource management in Nepalese community campuses by addressing capacity building, staff retention, and HR strategies, ultimately enhancing academic quality, equity, and inclusive. Key findings highlight the human resource challenges in Nepalese community campuses, including recruitment and retention issues, insufficient professional development, and ineffective HR policies, while suggesting innovative strategies like peer mentoring, online training, and partnerships to enhance capacity-building and staff retention. In conclusion, Nepalese community campuses can address HR challenges by adopting innovative, cost-effective strategies and aligning HR policies with faculty needs to foster professional growth and ensure long-term sustainability.
28
Lan, Shengxin, Xiaona Wang, Meifang Li, et al. "Early Warning Evaluation and Warning Trend Analysis of the Resource and Environment Carrying Capacity in Altay Prefecture, Xinjiang." Sustainability 15, no. 12 (2023): 9825. http://dx.doi.org/10.3390/su15129825.
Full textAbstract:
Ecologically fragile areas in China account for more than half of its land area. Performing early warning assessments and trend analyses of resource and environment carrying capacity in ecologically fragile areas can lay a scientific foundation for ecological conservation in the areas. Based on the connotation of resource and environment carrying capacity, an early warning index system of resource and environment carrying capacity in Altay prefecture was constructed from the three aspects natural resource carrying capacity, eco-environment carrying capacity, and economic and social support capacity. The grey relational projection method model was used to analyze the current alarm situation of the resource and environment carrying capacity in Altay prefecture from 2011 to 2020, and then the back propagation (BP) neural network and a mathematical statistics software were used to predict the evolution of the alarm situation of the resource and environment carrying capacity in Altay prefecture from 2021 to 2025. The results demonstrated that (1) the natural resource carrying capacity subsystem was the main system of the development of the resource and environment carrying capacity in Altay prefecture, and its impact on the resource and environment carrying capacity in Altay prefecture was greater than the eco-environment carrying capacity and economic and social support capacity; (2) the resource and environmental carrying capacity of Altay prefecture showed a slight upward trend from 2011 to 2020, although the range was constrained and the level of warning remained “moderate warning”. A spatial pattern of “weak in the middle, strong in the two poles” was exhibited by the warning scenario about the carrying capacity of each county and city. Except for the warning of Habahe County and Qinghe County, where the warning was slightly worse than that in 2020, the warning of resource and environment carrying capacity in Altay prefecture and other counties and cities would show a trend of fluctuation and decline from 2021 to 2025. However, the degree of alarm did not change substantially and remained at the level of “moderate warning”; (3) the main factors restricting the mitigation of the warning of resource and environment carrying capacity in Altay prefecture included a low soil fertility index, a small total reservoir capacity, low per capita mineral resource reserves, a low water resource development and utilization rate, a low comprehensive utilization rate of industrial solid waste, and a low land output rate.
29
Ratnadewati, Ainina, Nur Widiastuti, and Asri Wardani. "GREEN ECONOMY: OPPORTUNITIES AND CHALLENGES IN SOUTH EAST ASIA." Prosiding dan Call Paper Widya Wiwaha 2, no. 1 (2023): 46–57. https://doi.org/10.32477/semnas.v2i1.901.
Full textAbstract:
This paper aims to explain the concept of a green economy, developments, opportunities, and challenges faced by Southeast Asian countries with implementing a green economy. The data used in this research is secondary data obtained from various sources, including the United Nations Environment Program (UNEP), OECD, BAPPENAS, and other sources. The analytical method used is a qualitative descriptive method. The results show that ASEAN countries have enormous opportunities because SEA has favorable demographics and a rapidly growing middle class. 380M residents (~60% of the total population) are under 35. Above-average growth of 4% annual nominal GDP growth over the past decade. Each country has unique advantages and roles to play in the global economy. And the World's 11th largest car manufacturer, with the potential to become an Electric Vehicle (EV). Facing challenges in terms of making decarbonization in terms of dependence on fossil fuels, conditions as a developing country, efforts to balance decarbonization and growth as an island country facing connectivity constraints, the large number of workers working in the fossil fuel sector, and resource imbalances that can be renewed. Recommended actions: Build capacity for better enforcement of existing conservation policies, Incentivize the restoration/protection of forestlands vs. new land clearing for plantations, and Incentivize mangrove and peatland restoration/protection at scale. As an island country, efforts to balance decarbonization and growth face connectivity constraints, the large number of workers working in the fossil fuel sector, and inequality in renewable resources. Recommended actions: Build capacity for better enforcement of existing conservation policies, Incentivize the restoration/protection of forestlands vs. new land clearing for plantations, and Incentivize mangrove and peatland restoration/protection at scale. As an island country, efforts to balance decarbonization and growth face connectivity constraints, the large number of workers working in the fossil fuel sector, and inequality in renewable resources. Recommended actions: Build capacity for better enforcement of existing conservation policies, Incentivize the restoration/protection of forestlands vs. new land clearing for plantations, and Incentivize mangrove and peatland restoration/protection at scale. Incentivize the restoration/protection of forestlands vs. new land clearing for plantations—Incentivize mangrove and peatland restoration/protection at scale. Incentivize the restoration/protection of forestlands vs. new land clearing for plantations—Incentivize mangrove and peatland restoration/protection at scale.
30
Vasylevska, Halyna, Kateryna Pozdieieva, Oksana Ivashchenko, Olena Shapoval, and Oleksii Kurtsev. "Budgetary fund management in resource-constrained environments: financing strategies." Multidisciplinary Science Journal 6 (May 7, 2024): 2024ss0727. http://dx.doi.org/10.31893/multiscience.2024ss0727.
Full textAbstract:
In the process of European integration, it is necessary to implement economic reforms to ensure effective management of state finances. Changes in budgetary relations and the allocation of budget monetary resources are observed in connection with the process of decentralisation and transformation processes in the budgetary system. The aim of this article is to establish the significance of financing budget managers, even under resource constraints. The study focuses on the process of financing budget managers. The research methods employed include analysis, systemic-structural, comparative-legal, and dialectical methods. The results indicate that the current state and societal development necessitate the establishment of a strong and effective state economy. The financing of budget managers under resource constraints is a pertinent issue. Recent events in the country highlight that local budgets encounter various problems and inconsistencies, mainly due to limited financial resources, unclear expenditure powers between different levels of the budgetary system, inefficient spending models, and low investment capacity. Planning and executing local budgets' expenditure is a crucial aspect of budget policy that determines the effectiveness of local self-government bodies in fulfilling their functions and powers. Financial constraints of the state are especially significant in relation to the competence level of participants in the budget process, the ability to allocate budget funds rationally and in line with the priorities of budget policy, and the need to achieve maximum effect with minimal costs for socio-economic development. Proper use of local budgets requires evaluating financial procedures, monitoring the fulfilment of budgetary powers, assessing expected results, and accurately defining needs, among other factors. To address financial constraints, it is necessary to review and adjust budget expenditures and regulate the powers of local authorities regarding expenditure. Increasing spending by local budgets to complete their own responsibilities will enhance the investment aspect of local self-government budgets.
31
Woldeyohannes, Birkinesh, Mark Gaynor, and Temtim Assefa. "Inclusive Entrepreneurship in Handling Competing Institutional Logics for DHIS2 Adoption in Ethiopian Public Health Care Context." International Journal of Managing Information Technology 14, no. 4 (2022): 1–17. http://dx.doi.org/10.5121/ijmit.2022.14401.
Full textAbstract:
Information System (IS) research advocates employing collaborative and loose coupling strategies to address contradictory issues to address diversified actors’ interests than the prescriptive and unilateral Information Technology (IT) governance mechanisms’, yet it is rarely depicting how managers employ these strategies in Health Information System (HIS) implementation, particularly in a resource-constrained setting where IS implementation activities have highly relied on multiple international organizations resources. This study explored how managers in resource-constrained settings employ collaborative IT governance mechanisms in the case of District Health Information System 2 (DHIS2) adoption with an interpretative case study approach and the institutional logic concept. The institutional logic concept was used to identify the major actors’ logics underpinning the DHIS2 adoption. The study depicted the importance of high-level officials' distance from the dominant systemic logic to consider new alternative, and to employ inclusive IT governance mechanisms which separated resource from the system that facilitated stakeholders’ collaboration in DHIS2 adoption based on their capacity and interest.
32
Li, Qixuan. "Joint Modelling of Slot Filling and Intent Detection in Constrained Resource Scenarios." Frontiers in Computing and Intelligent Systems 5, no. 2 (2023): 111–15. http://dx.doi.org/10.54097/fcis.v5i2.13124.
Full textAbstract:
In the era of pervasive smart devices, natural language understanding (NLU) holds a pivotal role for facilitating intelligent interactions and decision-making. Core to NLU are slot filling and intent recognition, essential tasks for comprehending user input. While joint modelling of these tasks has gained prominence, the challenges of realizing efficient joint models on resource-constrained devices have emerged as significant. These devices possess limited computational capacity and real-time requirements, necessitating lightweight and efficient models. In this study, we explore the design of a resource-efficient joint model for slot filling and intent recognition. Through leveraging BERT, , graph neural networks, and mask mechanisms, our model achieves the dual goals of semantic slot prediction and intent classification. We focus on model design, training, and real-time inference, aiming to contribute to the paradigm of resource-constrained natural language understanding. Our investigation demonstrates the efficacy of our approach, even when working with a reduced dataset, underscoring the model's applicability to real-world scenarios with limited resources.
33
Sharma, Anjali, Philippe Chiliade, E. Michael Reyes, Kate K. Thomas, Stephen R. Collens, and José Rafael Morales. "Building sustainable organizational capacity to deliver HIV programs in resource-constrained settings: stakeholder perspectives." Global Health Action 6, no. 1 (2013): 22571. http://dx.doi.org/10.3402/gha.v6i0.22571.
Full text
34
Sharma, Divya, and Dr Sanjay Jain. "Optimized LOADng Routing Protocol Parameters Using Black Widow Optimization Algorithm for IoT." Webology 19, no. 1 (2022): 535–50. http://dx.doi.org/10.14704/web/v19i1/web19038.
Full textAbstract:
With the dawn of Internet of Things (IoT), interconnected things and smart applications have significantly reduced human intervention in accomplishing tasks. Yet, due to its openness, heterogeneity, limited resources and extensiveness, it suffers from several issues such as lesser capacity links, energy consumption, resource optimization etc. Routing of packets in such constrained environment is yet challenging. Lightweight On-demand Ad hoc Distance-vector Routing Protocol—Next Generation (LOADng) protocol is an extended version of AODV protocol. Unlike AODV, LOADng is lighter version which forbids the intermediate nodes on the route to send a route reply (RREP) for the route request (RREQ) which is originated from the source. A resource constrained IoT network demands minimal routing control overhead with no packet loss. The optimal selection of routing protocol parameters can improve quality of service (QoS) of such constrained environments. So, in this paper we present optimization of the parameters of LOAD grouting protocol using black widow optimization (BWO) algorithm for IoT. Simulation results depict that the LOADng-BWO outperforms the conventional LOADng protocol in terms of delay, overhead and delivery ratio.
35
Bernadette Bristol-Alagbariya, Latifat Omolara Ayanponle, and Damilola Emmanuel Ogedengbe. "Leadership development and talent management in constrained resource settings: A strategic HR perspective." Comprehensive Research and Reviews Journal 2, no. 2 (2024): 013–22. http://dx.doi.org/10.57219/crrj.2024.2.2.0031.
Full textAbstract:
Leadership development and talent management are critical for organizational sustainability, yet they pose significant challenges in constrained resource settings. This paper examines key barriers such as limited funding, talent shortages, and inadequate infrastructure, highlighting their adverse effects on organizational performance and employee retention. Strategic human resource (HR) approaches are proposed to address these issues, including cost-effective leadership development frameworks, innovative recruitment and retention strategies, and succession planning initiatives. Technology, mentorship, and non-monetary incentives are emphasized in fostering employee engagement and enhancing leadership capacity. Additionally, the importance of external collaborations with governments, NGOs, and private sector entities is explored as a means to augment organizational resources. The paper concludes with practical recommendations for HR leaders and policymakers to implement sustainable talent management and leadership development strategies in resource-limited contexts. By adopting these measures, organizations can build resilient workforces, drive long-term success, and maintain operational effectiveness despite significant constraints.
36
Zhang, Yunquan, and Peiling Yang. "Agricultural Productive Carrying Capacity Improve and Water Optimal Allocation under Uncertainty Based on Remote Sensing Data in Lancang County, Southwest China." Water 14, no. 22 (2022): 3641. http://dx.doi.org/10.3390/w14223641.
Full textAbstract:
Through the reasonable calculation of water resources, evaluating the irrigation carrying capacity of farmland under the constraints of water resources is crucial for optimizing the spatial distribution of agricultural production and ecology and rationally adjusting the scale of agricultural production. This paper proposes an optimization framework based on Type 2 fuzzy chance-constrained programming (T2FCCP) to solve the problem of regional water resources optimal allocation and evaluation of farmland irrigation carrying capacity under uncertain conditions. To illustrate the applicability of the proposed framework, this paper conducts a case study on Lancang County, Puer City, Yunnan Province. Methods, such as watershed harmony evaluation method, remote sensing data, and shared socioeconomic pathways (SSPs), are applied and integrated into the proposed optimization framework to systematically deal with uncertainties in water resource systems and agricultural systems. The results include the costs and benefits of regional water and soil resources systems, water resources optimal allocation, and crop planting structure results under different SSPs in Lancang County, Puer City. The results also show that the total cost under T2FCCP is about 5% lower than that under fuzzy chance-constrained programming (FCCP) and about 17% lower than that under chance-constrained programming (CCP). By 2025, the water resources carrying capacity of different tributaries in Lancang County, Puer City will increase, and based on the evaluation results of agricultural production irrigation carrying capacity, suggestions are given to ensure agricultural production carrying capacity.
37
Curioso, Walter H. "Building Capacity and Training for Digital Health: Challenges and Opportunities in Latin America." Journal of Medical Internet Research 21, no. 12 (2019): e16513. http://dx.doi.org/10.2196/16513.
Full textAbstract:
Tackling global health challenges demands the appropriate use of available technologies. Although digital health could significantly improve health care access, use, quality, and outcomes, realizing this possibility requires personnel trained in digital health. There is growing evidence of the benefits of digital health for improving the performance of health systems and outcomes in developed countries. However, significant gaps remain in resource-constrained settings. Technological and socio-cultural disparities between different regions or between provinces within the same country are prevalent. Rural areas, where the promise and need are highest, are particularly deprived. In Latin America, there is an unmet need for training and building the capacity of professionals in digital health. This viewpoint paper aims to present a selection of experiences in building digital health capacity in Latin America to illustrate a series of challenges and opportunities for strengthening digital health training programs in resource-constrained environments. These describe how a successful digital health ecosystem for Latin America requires culturally relevant and collaborative research and training programs in digital health. These programs should be responsive to the needs of all relevant regional stakeholders, including government agencies, non–governmental organizations, industry, academic or research entities, professional societies, and communities. This paper highlights the role that collaborative partnerships can play in sharing resources, experiences, and lessons learned between countries to optimize training and research opportunities in Latin America.
38
Baccar, Mariem, Ahmed Bouaziz, Patrick Dugué, Mohamed Gafsi, and Pierre-Yves Le Gal. "Sustainability Viewed from Farmers’ Perspectives in a Resource-Constrained Environment." Sustainability 12, no. 20 (2020): 8671. http://dx.doi.org/10.3390/su12208671.
Full textAbstract:
The way farmers perceive the concept of sustainability as applied to their own farms must be better understood in order to help them evolve towards more sustainable production systems. Based on extensive discussions with 36 farmers on the Saïs plain (Morocco), this article explores farmers’ perceptions of sustainability and the strategies they are implementing for their farms to endure. Although these farmers are not formally aware of the concept of sustainability, they have several perceptions expressed through seven sustainability-related themes. The most frequently mentioned is the profitability of their agricultural activities (31% of responses). Three groups of perception were identified through a multiple component analysis (MCA) and an ascending hierarchical cluster (AHC) analysis: A combination of economic profitability and maintenance of the farm’s natural resources (Environment); a combination of economic profitability and a capacity to seize opportunities (Profitability); and setting up a modern agricultural model (Modernism). Additionally, farmers implement three types of strategies to endure also identified through MCA and AHC analysis: (1) Income security and farm survival with low-intensity practices involving farmers with low levels of investment (Security); (2) adaptation and valorization of the flexibility of the farm, bringing together farmers who intensify their practices according to economic opportunities (Adaptation); and (3) quest for productivity and income maximization for farmers with high levels of capital (Entrepreneurship). A certain coherence emerges between these two ways of grouping farms: Environment and Security linked to threats related to the degradation of soil fertility or water scarcity; Profitability and Adaptation in relation to land and economic opportunities; and Modernism and Entrepreneurship, which links economic sustainability, a modern production model, and capital accumulation.
39
Wang, Yiyang, and Jing Zhao. "A Unified and Resource-Aware Framework for Adaptive Inference Acceleration on Edge and Embedded Platforms." Electronics 14, no. 11 (2025): 2188. https://doi.org/10.3390/electronics14112188.
Full textAbstract:
Efficient and scalable inference is essential for deploying large-scale generative models across diverse hardware platforms, especially in real-time or resource-constrained scenarios. To address this, we propose a novel unified and resource-aware inference optimization framework that uniquely integrates three complementary techniques: sensitivity-aware mixed-precision quantization, heterogeneous sparse attention for reducing attention complexity, and capacity-aware dynamic expert routing for input-adaptive computation. This framework distinctively achieves fine-grained adaptivity by dynamically adjusting computation paths based on token complexity and hardware conditions, offering substantial performance gains and execution flexibility across diverse platforms, including edge devices like Jetson Orin. Implemented using PyTorch 1.13 and ONNX Runtime, our framework demonstrates significant reductions in inference latency and memory usage, alongside substantial throughput improvements in language and image generation tasks, outperforming existing baselines even under constrained GPU environments. Qualitative analyses reveal its fine-grained adaptivity, while robustness tests confirm stable behavior under resource fluctuation and input noise, offering an interpretable optimization approach suitable for heterogeneous deployments. Future work will explore reinforcement-based routing and multimodal inference.
40
Markevych, Maksym, and Miho Tanaka. "Remittances to Samoa." Selected Issues Papers 2025, no. 061 (2025): 1. https://doi.org/10.5089/9798229009867.018.
Full textAbstract:
This paper provides a targeted analysis of ML/TF risks pertaining to remittances to Samoa, confirming limited risks, and discusses potential opportunities for streamlining applicable AML/CFT requirements to operationalize regional remittances risk assessments. Over the past decade, Samoa has been subject to de-risking, which has resulted in Correspondent Banking Relationship (CBR) withdrawals, CBR fragility and rising concentration risks, especially for money transfer operators (MTOs). The paper presents an analysis of authorities’ and the financial sector’s risk understanding and publicly available information on crime and the ML risk environment and concludes that there are limited ML/TF threats to the main remittance corridors to Samoa. Samoa’s ML/TF vulnerabilities - mostly related to capacity and resource constraints - are alleviated by the low ML/TF threat environment and regional information exchange and capacity building. Based on these findings, the paper provides an overview of potential regulatory and supervisory measures to promote a risk-based approach to CBRs to streamline the AML/CFT requirements for low-risk remittances to Samoa.
41
Ang, Li-Minn, Kah Phooi Seng, and Christopher Wing Hong Ngau. "Biologically Inspired Components in Embedded Vision Systems." International Journal of Systems Biology and Biomedical Technologies 3, no. 1 (2015): 39–72. http://dx.doi.org/10.4018/ijsbbt.2015010103.
Full textAbstract:
Biological vision components like visual attention (VA) algorithms aim to mimic the mechanism of the human vision system. Often VA algorithms are complex and require high computational and memory requirements to be realized. In biologically-inspired vision and embedded systems, the computational capacity and memory resources are of a primary concern. This paper presents a discussion for implementing VA algorithms in embedded vision systems in a resource constrained environment. The authors survey various types of VA algorithms and identify potential techniques which can be implemented in embedded vision systems. Then, they propose a low complexity and low memory VA model based on a well-established mainstream VA model. The proposed model addresses critical factors in terms of algorithm complexity, memory requirements, computational speed, and salience prediction performance to ensure the reliability of the VA in a resource constrained environment. Finally a custom softcore microprocessor-based hardware implementation on a Field-Programmable Gate Array (FPGA) is used to verify the implementation feasibility of the presented model.
42
Li, Jiahao, Ming Xu, Yizhuang Xie, and He Chen. "Constrained Optimization of FPGA Design for Spaceborne InSAR Processing." Remote Sensing 14, no. 19 (2022): 4713. http://dx.doi.org/10.3390/rs14194713.
Full textAbstract:
With the development of spaceborne processing technologies, the demand for on-board processing has risen sharply. Against this background, spaceborne Interferometric Synthetic Aperture Radar (InSAR) processing has become an important research area. In many cases, high processing capacity is required during on-board InSAR processing, yet Field-Programmable Gate Array (FPGA) resources on the satellites are limited. To improve the performance of spaceborne remote sensing processing, this paper designs a high-performing FPGA system for the coarse registration and interferogram generation process of InSAR. Moreover, to address this dual-constraint problem of resource and processing capacity, the paper proposes an FPGA design method based on the gradient descent theory, which can identify the optimum trade-off scheme between two such constraints. Finally, the proposed system design and method are implemented in FPGA. Experiments showed that the FPGA system outperformed the NVIDIA (Santa Clara, CA, USA) GTX Titan Black Graphics Processing Unit (GPU), and the optimum trade-off scheme only increases the entire time by 1.1% but reduces the FPGA BRAM usage by 8.7%. The experimental results proved the effectiveness and validity of the proposed system and method.
43
Marcus, Hannah, and Liz Hanna. "Understanding national barriers to climate change adaptation for public health: a mixed-methods survey of national public health representatives." International Journal of Health Governance 25, no. 4 (2020): 287–306. http://dx.doi.org/10.1108/ijhg-06-2020-0061.
Full textAbstract:
PurposeTo uncover the major government constraints to enactment and implementation of public health-targeted climate change adaptation (CCA) strategies in order to equip public health stakeholders and health advocates with the knowledge resources necessary to more effectively mobilize and support CCA for public health responses at the national level.Design/methodology/approachA mixed-methods online survey was distributed to the representatives of national public health associations and societies of 82 countries. The survey comprised 15 questions assessing national progress on CCA for public health and the effects of various institutional, economic/financial, technical and sociopolitical barriers on national adaptive capacity.FindingsSurvey responses from 11 countries indicated that national commitments to CCA for public health have increased markedly since prior assessments but significant shortcomings remain. The largest apparent barriers to progress in this domain were poor government coordination, lack of political will and inadequate adaptation finances.Originality/valueThis study is unique in relation to the prior literature on the topic in that it effectively captures an array of country-specific yet cross-cutting adaptation constraints across diverse national contexts. With a deepened understanding of the major determinants of national adaptive capacity, international actors can devise more effective, evidence-informed strategies to support national governments in responding to the health impacts of climate change.
44
Kaur, Sawinder, Yi Xiao, and Asif Salekin. "VeriCompress: A Tool to Streamline the Synthesis of Verified Robust Compressed Neural Networks from Scratch." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 21 (2024): 22899–905. http://dx.doi.org/10.1609/aaai.v38i21.30327.
Full textAbstract:
AI's widespread integration has led to neural networks (NN) deployment on edge and similar limited-resource platforms for safety-critical scenarios. Yet, NN's fragility raises concerns about reliable inference. Moreover, constrained platforms demand compact networks. This study introduces VeriCompress, a tool that automates the search and training of compressed models with robustness guarantees. These models are well-suited for safety-critical applications and adhere to predefined architecture and size limitations, making them deployable on resource-restricted platforms. The method trains models 2-3 times faster than the state-of-the-art approaches, surpassing them by average accuracy and robustness gains of 15.1 and 9.8 percentage points, respectively. When deployed on a resource-restricted generic platform, these models require 5-8 times less memory and 2-4 times less inference time than models used in verified robustness literature. Our comprehensive evaluation across various model architectures and datasets, including MNIST, CIFAR, SVHN, and a relevant pedestrian detection dataset, showcases VeriCompress's capacity to identify compressed verified robust models with reduced computation overhead compared to current standards. This underscores its potential as a valuable tool for end users, such as developers of safety-critical applications on edge or Internet of Things platforms, empowering them to create suitable models for safety-critical, resource-constrained platforms in their respective domains.
45
Micola, Augusto Ruperez, and Derek W. Bunn. "Crossholdings, concentration and information in capacity-constrained sealed bid-offer auctions." Journal of Economic Behavior & Organization 66, no. 3-4 (2008): 748–66. http://dx.doi.org/10.1016/j.jebo.2006.08.003.
Full text
46
Zhao, Aiwu, Jingyi Wang, Zhenzhen Sun, and Hongjun Guan. "Research on the Evolutionary Path of Eco-Conservation and High-Quality Development in the Yellow River Basin Based on an Agent-Based Model." Systems 10, no. 4 (2022): 105. http://dx.doi.org/10.3390/systems10040105.
Full textAbstract:
The high-quality economic and social development of the Yellow River Basin is a combined system comprising the coordinated development of “economy–resources–environment–society”, with resources and the ecological environment bearing capacity as the constraints, and green innovative development as the driving force. Based on the systematic analysis of the structural dimensions of the composite system, this paper uses the balanced indicators and their coordinated development effectiveness to describe the development quality of the macro-composite system. In order to reveal the mechanism of the evolutionary path of the macro system, the resource- and environment-bearing capacity, regional high-quality development potential, regional innovation capacity, and high-quality development guarantee capacity are adopted as the main attributes and decision-making basis of the autonomous agents. The simulation results show that, under the existing development model, the economic development of all of the provinces in the Yellow River Basin will be constrained by resources and the environment. However, different policy scenarios significantly affect the evolutionary trends of economic development, resource consumption, and the environmental pollution situation. The mechanisms to overcome the bottleneck of the resource and ecological constraints are different for these policies, and the effects of the same policy in different provinces are also not the same.
47
Akter, Lutfa, and Normin Nahar. "Specific Quality of Service Constrained Optimal Allocation of Transmit Power in Uplink Cognitive OFDMA System." International Journal of Computer and Communication Engineering 9, no. 3 (2020): 105–21. http://dx.doi.org/10.17706/ijcce.2020.9.3.105-121.
Full textAbstract:
This paper investigates an optimal allocation of transmit power for uplink cognitive OFDMA system. The aim is to construct two optimization frameworks namely, framework-I and II for uplink cognitive OFDMA system that minimizes it’s transmit power while maintaining Quality of Service (QoS). The measures for QoS include SNR threshold for framework-I whereas, for framework-II, it is measured by minimum rate requirement (bits/sec/Hz) to obtain a certain bit error rate (BER). Simulation results reveal the effectiveness of the proposed frameworks. Additionally, for framework-I, effects of different SNR threshold and users’ power budget are observed on the allocation of transmit power. Whereas, for framework-II, effects of different target BER, users’ power budget and minimum rate requirement are observed on the allocation of transmit power. Results are also compared with the results obtained from conventional capacity maximization based resource allocation approaches in terms of allocated transmit power, energy efficiency (EE) and spectral efficiency (SE). Simulation results reveal that, the proposed frameworks are incredibly successful in terms of utilization of power budget of users and EE compared to conventional capacity maximization based resource allocation approaches.
48
Kisina, Denis, Oyinomomo-emi Emmanuel Akpe, Bright Chibunna Ubanadu, Andrew Ifesinachi Daraojimba, Toluwase Peter Gbenle, and Oluwasanmi Segun Adanigbo. "Advances in Application Profiling Techniques for Performance Optimization in Resource-Constrained Environments." International Journal of Future Engineering Innovations 1, no. 1 (2024): 108–14. https://doi.org/10.54660/ijfei.2024.1.1.108-114.
Full textAbstract:
The proliferation of resource-constrained environments—such as Internet of Things (IoT) devices, embedded systems, and edge computing platforms—has necessitated the evolution of application profiling techniques tailored for low-power and limited-capacity hardware. This paper presents a comprehensive review and analysis of contemporary advancements in profiling strategies aimed at optimizing performance and energy efficiency in such settings. It begins by establishing the foundational concepts of static and dynamic profiling, examining the key performance indicators that guide optimization, and addressing the critical trade-offs between profiling overhead and measurement accuracy. The study highlights innovative tools and methodologies, including lightweight profilers, context-aware instrumentation, and adaptive techniques that dynamically respond to runtime constraints. Furthermore, it explores real-world use cases in IoT and embedded systems, implementation strategies for integrating profiling into modern development workflows, and the persistent challenges related to tool compatibility and deployment. The paper concludes by identifying emerging research directions, such as AI-assisted profiling and cross-platform standardization, emphasizing their potential to advance profiling efficacy and support robust system design. Overall, the findings underscore the vital role of profiling in enabling high-performance, energy-conscious applications in environments where optimization is paramount.
49
Žerovnik, Janez. "Heuristics for NP-hard optimization problems - simpler is better!?" Logistics & Sustainable Transport 6, no. 1 (2015): 1–10. http://dx.doi.org/10.1515/jlst-2015-0006.
Full textAbstract:
Abstract We provide several examples showing that local search, the most basic metaheuristics, may be a very competitive choice for solving computationally hard optimization problems. In addition, generation of starting solutions by greedy heuristics should be at least considered as one of very natural possibilities. In this critical survey, selected examples discussed include the traveling salesman, the resource-constrained project scheduling, the channel assignment, and computation of bounds for the Shannon capacity.
50
Boakye, Priscilla N., Elizabeth Peter, Anne Simmonds, and Solina Richter. "An examination of the moral habitability of resource-constrained obstetrical settings." Nursing Ethics 28, no. 6 (2021): 1026–40. http://dx.doi.org/10.1177/0969733020988311.
Full textAbstract:
Background: While there have been studies exploring moral habitability and its impact on the work environments of nurses in Western countries, little is known about the moral habitability of the work environments of nurses and midwives in resource-constrained settings. Research objective: The purpose of this research was to examine the moral habitability of the work environment of nurses and midwives in Ghana and its influence on their moral agency using the philosophical works of Margaret Urban Walker. Research design and participants: A critical moral ethnography was conducted through the analysis of interviews with 30 nurses and midwives, along with observation, and documentary materials. Ethical considerations: After receiving ethics approval, signed informed consent was obtained from participants before data collection. Results: Five themes were identified: (1) holding onto the values, identities, and responsibilities of being a midwife/nurse; (2) scarcity of resources as limiting capacity to meet caring responsibilities; (3) gender and socio-economic inequities shaping the moral-social context of practice; (4) working with incoherent moral understandings and damaged identities in the context of inter- and intra-professional relationships; and (5) surviving through adversity with renewed commitment and courage. Discussion: The nurses and midwives were found to work in an environment that was morally uninhabitable and dominated by the scarcity of resources, overwhelming and incoherent moral responsibilities, oppressive conditions, and workplace violence. These situations constrained their moral agency and provoked suffering and distress. The nurses and midwives negotiated their practice and navigated through morally uninhabitable work environment by holding onto their moral values and commitments to childbearing women. Conclusion: Creating morally habitable workplaces through the provision of adequate resources and instituting interprofessional practice guidelines and workplace violence prevention policies may promote safe and ethical nursing and midwifery practice.