Academic literature on the topic 'Capacity constrained resource (CCR)'
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Journal articles on the topic "Capacity constrained resource (CCR)"
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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 textDissertations / Theses on the topic "Capacity constrained resource (CCR)"
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Toktas, Berkin. "Addressing capacity uncertainty in resource-constrained assignment problems /." Thesis, Connect to this title online; UW restricted, 2004. http://hdl.handle.net/1773/10678.
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Mejicano, Quintana Miguel Antonio. "Simulation Modeling of Constrained Resource Allocation Using the Activity Based Conceptual Modeling Methodology." Thesis, Université d'Ottawa / University of Ottawa, 2018. http://hdl.handle.net/10393/37101.
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This thesis considers a common healthcare challenge of planning capacity for a system of care where patients receive multiple treatments sessions from multiple resources. As a case study of this more general problem, we considered the particular context of a capacity planning model for the Mood and Anxiety Program at The Ottawa Royal Health Centre (referenced as The Royal for simplicity) where a new service system known as CAPA (www.capa.co.uk) is being implemented to enhance the mental care provided to its patients. In order to develop the capacity planning model, we have created a simulation model using the Arena simulation software. We have also used the ABCMod Framework as the modeling methodology. The ABCMod is an activity based conceptual modelling framework that provides a set of guidelines as to how to build a conceptual model including its structural and behavioural aspects as well as a collection of constructs which include inputs, outputs and parameters among others. The ABCMod framework tools are expected to facilitate the model validation with project stakeholders. A series of scenarios relevant to The Royal were modeled and analyzed in order to determine how best to manage capacity so certain performance goals within the CAPA system implementation are met. These scenarios determine the service level The Royal can provide with its current capacity and also the amount and distribution of resources that is required to achieve its goals under the CAPA system.
As a result of our simulation runs, we defined the policy implications for The Royal in order to achieve its targets and successfully implement CAPA. Additionally, through the application of the ABCMod framework and standard process mapping tools, we were able to reach a consensus and validate our modeling approach with the project stakeholders at The Royal. Our model could be adapted to other settings in which multiple resources provide a series of sequential interventions to clients.
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Klann, Dirk. "The Role of Information Technology in the Airport Business: A Retail-Weighted Resource Management Approach for Capacity-Constrained Airports." Thesis, Cranfield University, 2009. http://hdl.handle.net/1826/4474.
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Much research has been undertaken to gain insight into business alignment of IT. This
alignment basically aims to improve a firm’s performance by an improved
harmonization of the business function and the IT function within a firm. The thesis
discusses previous approaches and constructs an overall framework, which a potential
approach needs to fit in.
Being in a highly regulated industry, for airports there is little space left to increase
revenues. However, the retailing business has proven to be an area that may contribute
towards higher income for airport operators. Consequently, airport management should
focus on supporting this business segment. Nevertheless, it needs to be taken into
account that smooth airport operations are a precondition for successful retailing
business at an airport.
Applying the concept of information intensity, the processes of gate allocation and
airport retailing have been determined to appraise the potential that may be realized
upon (improved) synchronization of the two. It has been found that the lever is largest
in the planning phase (i.e. prior to operations), and thus support by means of
information technology (for information distribution and improved planning) may help
to enable an improved overall retail performance.
In order to determine potential variables, which might influence the output, a process
decomposition has been conducted along with the development of an appropriate
information model.
The derived research model has been tested in different scenarios. For this purpose an
adequate gate allocation algorithm has been developed and implemented in a purposewritten
piece of software. To calibrate the model, actual data (several hundred thousand
data items from Frankfurt Airport) from two flight plan seasons has been used.
Key findings: The results show that under the conditions described it seems feasible to
increase retail sales in the magnitude of 9% to 21%. The most influential factors
(besides the constraining rule set and a retail area’s specific performance) proved to be a
flight’s minimum and maximum time at a gate as well as its buffer time at gate.
However, as some of the preconditions may not be accepted by airport management or
national regulators, the results may be taken as an indication for cost incurred, in case
the suggested approach is not considered.
The transferability to other airport business models and limitations of the research
approach are discussed at the end along with suggestions for future areas of research.
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Standfield, Lachlan Barry. "Economic Modelling Methods for the Estimation of Resource Use, Cost-Effectiveness and Allocative Efficiency of Health Care Provision in a Capacity Constrained Health Care System." Thesis, Griffith University, 2017. http://hdl.handle.net/10072/367058.
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Cost-effectiveness models for health care interventions generally make the assumption that all
resources are available, as required, without capacity constraints. This assumption may be a
reasonable approximation of the truth for a range of questions faced by decision makers in health
care. However, in some health care settings, capacity constraints predominate leading to queue
development. In these situations the use of a modelling technique that can accommodate these
constraints would appear advisable to allow the efficiency of competing healthcare interventions to
be determined. Nevertheless, there have been no empirical comparisons of economic modelling
techniques that capture capacity constraints and those that do not. Further, there are only a few
cost-effectiveness analyses (CEA) of health care that capture the effect of capacity constraints at all.
This research seeks to explore these gaps in the literature in an applied manner.<br>Thesis (PhD Doctorate)<br>Doctor of Philosophy (PhD)<br>School of Medical Science<br>Griffith Health<br>Full Text
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Salazar, Diaz Frank, and Hannaneh Hanna Pakdaman. "Processflödesanalys av tillverkningsprocessen i syfte att minska leveranstiden." Thesis, KTH, Hållbar produktionsutveckling (ML), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-298482.
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LKAB Mekaniska i Kiruna, Sverige är en ståltillverkare som bland annat producerar avropsartikeln lingenomföring till moderbolaget LKAB. Målet med detta examensarbete är att minska på leveranstiden för sistnämnda artikel. För att åstadkomma detta undersöktes produktionsflödet i affärssystemet Monitor. Därtill genomfördes en litteraturstudie och intervjuer hölls med avdelningschefer och operatörer från LKAB Mekaniska. Utifrån detta identifierades tre faktorer som påverkar leveranstiden negativt. Dessa är kötiderna mellan operationerna, den bristfälliga planeringen som skedde vid skär- och maskinavdelningen, samt begränsningarna som höll upp produktionen i maskinavdelningen Vi hävdar att leveranstiden minskar om följande åtgärder genomförs: eliminera kötiderna mellan tillverkningsprocesserna, öka beläggningen och kapaciteten på tillverkningsmaskinen, implementera ett kanbansystem, ändra ordningsföljden i tillverkningsprocessen och slutligen införa ett säkerhetslager med färdigsvarvade stänger.<br>LKAB Mekaniska in Kiruna, Sweden is a steel-manufacturer that, among other things, produces lingenomföring for its parent company LKAB. The aim of this thesis is to decrease the delivery time of the aforementioned product. In order to achieve this, production flow in the business system Monitor ERP (Enterprise Resource Planning) was examined. In addition to this a literature study was conducted and interviews were held with department heads and machine operators from LKAB Mekaniska. Based on data collected, three factors were identified as negatively affecting the delivery time. These are queue times between operations, inadequate planning for the cutting and machinery department, as well as the limitations that kept the production back in the machinery department. We claim that the delivery time decreases if the following measures are realized: eliminate queue times between stages in the manufacturing process, increase personnel capacity related to the manufacturing machine, implement a kanban system, change the order of the manufacturing process and lastly to introduce a storage of ready-turned bars.
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Chen, Chien-Chang, and 陳建璋. "Heuristic in Resource-Constrained Capacity Planning Model." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/22422575730730931791.
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碩士<br>東海大學<br>工業工程與經營資訊學系<br>96<br>Due to the rapid changes in the production environment, hence the traditional capacity planning can not provide decisions to enterprise effectively. For example, Material Requirements Planning (MRP) does not consider the capacity constraints, although the loading status of manufacturing system can be obtained by CRP, CRP can not provide load shifting/unloading suggestion to the planner in order to prevent overloading. Previous studies considered their production planning approach with finite capacity constraints, but production feature, i.e. depended setup time, were not available to consider.
In this study, a new production planning approach, called pull-push finite capacity production planning, will be developed with considering the finite capacity constraint and more production features. A shop flow manufacture environment is also be built to show the performance of pull-push finite capacity production planning can obtain the better solution than previous studies, and use four scenarios to verify the method that this research proposed.
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Tsai, Zhi-Wei, and 蔡治緯. "Bid-Proportional Auction for Resource Allocationin capacity-constrained Clouds." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/06471211644754751470.
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碩士<br>國立臺灣大學<br>電信工程學研究所<br>99<br>As the Cloud Computing technology and industry evolves rapidly in recent years, one can observe that there already exists many commercialized cloud providers such as Amazon, Google, Azure in the market, offering a large scale of computing resources. However, these providers currently only offer the cloud computing resources by the fixed price approach to users, as if there are unlimited resources. Since the auction approach is already shown to be an efficient approach in many other resource-limited environments, there should be a need for developing such mechanism when the cloud is resource-constrained.
In this thesis, we have developed a bid-proportional auction model which brings dynamic price of the computing resource. We also study how to decide the optimal bid for the users and the optimal strategy of releasing computing resource for the providers in the auction-based resource allocation market. Furthermore, we used simulation to illustrate how the model operates in a dynamic and stochastic demand environment. We also discover several interesting relationships between the users and the providers regarding the dynamic price and the total supply-demands situation.
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林義棠. "A Drum-Buffer-Rope System for the Capacity Constraint Resources(CCR) with Non-identical Parallel Machines and Reentrant Environment." Thesis, 1998. http://ndltd.ncl.edu.tw/handle/27063660347862107991.
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碩士<br>中華大學<br>工業工程與管理研究所<br>86<br>When we did traditional research of DBR, we assumed that Identical Parallel Machines Environment was used to do analysis. Currently the constrain of assets and development of technology, the different machines produce same product will get the different results of work time and precision. The condition is that different machines will be used in one work station to meet the needs of different processes and products.
For example, the different machines are used in same test operation doing different products testing criteria to meet the different customers'' quality needs which exists in the Semiconduction Testing Factory. The condition was named Non-identical Parallel Machines Environment. We face two problems in this environment: (1)varieties of customers and products make us hard to predict combinations of machine set in CCR. If we consider all combinations, the system will be huge. (2)In case of same machine is used in many different machine groups to produce different products, this machine capacity will be over loaded and induce different products, this machine capacity will be over loaded and induce unbalance in production flow. Now schedule programs cannot solve these two problems in Nonidentical Parallel Machines. This research mentions both Drum in Non-identical Parallel Machines with reentrant and without reentrant to consider the drum processes reentrant under the Non-identical Parallel Machines Environment in order to extend the adaptability of the DBR.
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MACCARRONE, LUDOVICA. "A new mixed-integer modeling approach for capacity-constrained continuous-time scheduling problems." Doctoral thesis, 2019. http://hdl.handle.net/11573/1256923.
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Nowadays, scheduling and resource management are increasingly important issues for organizations. Indeed, they do not only constitute an underlying necessity to make things work properly within the companies, but are and will always be more critical means to reduce costs and get competitive advantage in the market.
Different approaches have been typically employed for these problems during the years. Among the others, linear programming techniques represent a valid tool that, despite applicable only to instances of limited dimension, offers an extremely flexible modeling opportunity, able to produce either optimal or approximate solutions of certified quality. In this spirit, the definition of suitable indicator variables and the use of particular constraints are proposed in the present work, with the aim of providing a useful basis for different mathematical models, taking into account scarce resources and other potential limitations. More in detail, a very well-known problem from the literature, the Resource Constrained Project Scheduling Problem, is investigated, and a new mixed-integer linear formulation is introduced, which treats time as a continuous variable. The considered model presents several advantages from the computational point of view, that are deeply studied and compared with those of one of the best methods recently developed in the same field. Extensive experiments reveal the good performances achieved by the proposed formulation over all the KPIs included in the analysis, thus motivating further applications to derived problems, such as the workforce planning and scheduling framework presented at the end of this dissertation.
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"Enhanced Community-Based Routing for Low-Capacity Pocket Switched Networks." Thesis, 2013. http://hdl.handle.net/10388/ETD-2013-08-1221.
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Sensor devices and the emergent networks that they enable are capable of transmitting information
between data sources and a permanent data sink. Since these devices have low-power and intermittent
connectivity, latency of the data may be tolerated in an effort to save energy for certain classes of data.
The BUBBLE routing algorithm developed by Hui et al. in 2008 provides consistent routing by employing a
model which computes individual nodes popularity from sets of nodes and then uses these popularity values
for forwarding decisions. This thesis considers enhancements to BUBBLE based on the hypothesis that nodes
do form groups and certain centrality values of nodes within these groups can be used to improve routing
decisions further.
Built on this insight, there are two algorithms proposed in this thesis. First is the Community-Based-
Forwarding (CBF), which uses pairwise group interactions and pairwise node-to-group interactions as a
measure of popularity for routing messages. By having a different measure of popularity than BUBBLE,
as an additional factor in determining message forwarding, CBF is a more conservative routing scheme
than BUBBLE. Thus, it provides consistently superior message transmission and delivery performance at an
acceptable delay cost in resource constrained environments.
To overcome this drawback, the concept of unique interaction pattern within groups of nodes is introduced
in CBF and it is further renewed into an enhanced algorithm known as Hybrid-Community-Based-
Forwarding (HCBF). Utilizing this factor will channel messages along the entire path with consideration
for higher probability of contact with the destination group and the destination node.
Overall, the major contribution of this thesis is to design and evaluate an enhanced social based routing
algorithm for resource-constrained Pocket Switched Networks (PSNs), which will optimize energy consumption
related to data transfer. It will do so by explicitly considering features of communities in order to reduce
packet loss while maintaining high delivery ratio and reduced delay.
Book chapters on the topic "Capacity constrained resource (CCR)"
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Siddiqui, Mumtaz, and Thomas Fahringer. "Optimizing Multi-Constrained Allocations with Capacity Planning." In Grid Resource Management. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-11579-0_6.
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Fasano, Giorgio. "Resource-Constrained Scheduling with Non-constant Capacity and Non-regular Activities." In Springer Optimization and Its Applications. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41508-6_4.
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Dorndorf, Ulrich, Toàn Phan Huy, and Erwin Pesch. "A Survey of Interval Capacity Consistency Tests for Time- and Resource-Constrained Scheduling." In Project Scheduling. Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5533-9_10.
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Kemeni Kambiet, Perez L., and Marcellus Forh Mbah. "Climate Change Education in African Higher Education Institutions: Insights into Current Practices and Future Directions." In Practices, Perceptions and Prospects for Climate Change Education in Africa. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-84081-4_17.
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Abstract Climate change education (CCE) is a vital tool for addressing Africa’s vulnerability to climate change and advancing sustainable development. Its impact is even more significant when integrated into higher educational systems. Notably, Higher Education serves as a catalyst for innovation and nation-building and, hence, an essential medium for driving sustainability efforts across present and future generations. However, evidence suggests that the adoption of CCE in African Higher Education Institutions (HEIs) remains low. Few HEIs have specialized courses on the subject, while others have an integrated approach within related subjects like geography and environmental sciences. This underscores the necessity to identify the factors behind the slow uptake of CCE across the continent. Given this premise, our study seeks to explore the nature of the barriers as well as existing and future opportunities for scaling up climate change education in African HEIs. Among other factors, we identified resource limitations, institutional barriers, and socio-political challenges as the primary constraints to CCE uptake in Africa. On the other hand, the increasing climate commitment and the development of regional climate institutions equally provide a unique opportunity for capacity building, knowledge exchange and the spread of CCE across African HEI. Moreover, the rapid development of affordable digital communication and computing has the potential to increase networking and collaborative efforts between climate change learners and scientists across the region. These prospects signal a need for regional governments to multiply their efforts towards providing an environment for the development and uptake of suitable CCE programs.
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Omer, Mohammed, Melina Kaiser, Tobias Redlich, and Jens P. Wulfsberg. "Exploring the Potential of Open Source Machine Tools for Sustainable Industrial Development in Low Resource Contexts - A Case Study of Migrant-Run Microenterprises in Oman." In Lecture Notes in Mechanical Engineering. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-28839-5_97.
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AbstractIn low resource contexts, access to technologies is limited. Most firms in developing countries are still using analog technologies and have not attained the industrial maturity required to harness the benefits of industry 4.0, which include increased productivity and a reduced environmental impact of the manufacturing sector. This further exacerbates the unequal wealth distribution pervasive in today’s globalized world. With the democratization of the internet and increasing accessibility to microcontrollers and automation technology, the last decade has seen the rise of open source machine tools (OSMT) such as CNC mills and 3D printers. By facilitating sustainable and inclusive production capacity building, OSMT are a key technology driver that can enable developing countries to leapfrog their industries. However, their potential for cost effective and low-threshold production capacity building in developing countries has been hitherto underexplored. This paper reports the findings of a pilot study in Oman with ten migrant-run microenterprises in the carpentry and steel fabrication industries. Semi-structured interviews and field observations were carried out to gain an understanding of the technology needs and readiness levels of the target group. The study identifies and discusses the challenges that could hinder the implementation of OSMT in a resource constrained context, which include insufficient technological and digital literacy, a lack of formal education, and risk adversity. Based on this, the paper proposes solutions to foster OSMT adoption.
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Ahmad, Ijaz, Ijaz Ahmad, and Erkki Harjula. "Adaptive Security in 6G for Sustainable Healthcare." In Communications in Computer and Information Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-59080-1_3.
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Abstract6G will fulfill the requirements of future digital healthcare systems through emerging decentralized computing and secure communications technologies. Digital healthcare solutions employ numerous low-power and resource-constrained connected things, such as the Internet of Medical Things (IoMT). However, the current digital healthcare solutions will face two major challenges. First, the proposed solutions are based on the traditional IoT-Cloud model that will experience latency and reliability challenges to meet the expectations and requirements of digital healthcare, while potentially inflicting heavy network load. Second, the existing digital healthcare solutions will face security challenges due to the inherent limitations of IoMT caused by the lack of resources for proper security in those devices. Therefore, in this research, we present a decentralized adaptive security architecture for the successful deployment of digital healthcare. The proposed architecture leverages the edge-cloud continuum to meet the performance, efficiency, and reliability requirements. It can adapt the security solution at run-time to meet the limited capacity of IoMT devices without compromising the security of critical data. Finally, the research outlines comprehensive methodologies for validating the proposed security architecture.
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Makgoba, Malegapuru W., and Stephen M. Tollman. "Fostering medical and health research in resource-constrained countries." In Oxford Textbook of Medicine, edited by John D. Firth, Christopher P. Conlon, and Timothy M. Cox. Oxford University Press, 2020. http://dx.doi.org/10.1093/med/9780198746690.003.0024.
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Access to quality healthcare and education for all are essential elements underpinning national development as well as prerequisites for personal well-being. This makes it important to grasp the inequalities that still prevail in human and institutional capacity, including access to and use of research resources. The goals of fostering medical research in resource-constrained countries are to bring outstanding science to bear on their medical and health problems; invest in building the requisite medical and health research systems; develop an evidence base to inform policies and programmes, resource allocation, and health practice; enhance scientific processes, findings, explanation, and ‘discovery’ by drawing on local know-how; and gain sustained engagement with policymakers, senior managers, and community leaders.
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Gupta, Manu. "Building Sustainable Capacity in Health Research through e-Learning in Resource Constrained Countries." In Advances in Educational Technologies and Instructional Design. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-5225-0466-5.ch014.
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Social determinants like income level, nutrition, education, occupation, gender, and poverty influence the health status of individual, resulting in wide disparities in the health status of different socio-economic groups. Efforts to reduce health inequities can be strengthened by incorporating a Social Determinants of Health approach in creating Health Care policy. This will require an increase in the number of scientists in low and middle-income countries, with the necessary skills. This chapter focuses on a novel capacity building approach, adopted by a European Union funded project, entitled “Asian Regional Capacity Development for Research on Social Determinants of Health”. The project uses innovative educational technologies to deliver education and training that would be helpful in building new research training capacity on social determinants of health, in low and middle-income countries. The capacity building approach adopted by the project, will reduce brain drain, is more climate friendly and also encourage gender equity within low and middle-income country-based training.
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Beikihassan, Ehsan, Amy K. Hoover, Ioannis Koutis, Ali Parviz, and Niloofar Aghaieabiane. "Resource-Constrained Knowledge Diffusion Processes Inspired by Human Peer Learning." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2023. http://dx.doi.org/10.3233/faia230273.
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We consider a setting where a population of artificial learners is given, and the objective is to optimize aggregate measures of performance, under constraints on training resources. The problem is motivated by the study of peer learning in human educational systems. In this context, we study natural knowledge diffusion processes in networks of interacting artificial learners. By ‘natural’, we mean processes that reflect human peer learning where the students’ internal state and learning process is mostly opaque, and the main degree of freedom lies in the formation of peer learning groups by a coordinator who can potentially evaluate the learners before assigning them to peer groups. Among else, we empirically show that such processes indeed make effective use of the training resources, and enable the design of modular neural models that have the capacity to generalize without being prone to overfitting noisy labels.
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Lober William B., Revere Debra, and Hills Rebecca. "A Lab-EMR Interoperability Profile as an eHealth Architecture Component for Resource-Constrained Settings." In Studies in Health Technology and Informatics. IOS Press, 2010. https://doi.org/10.3233/978-1-60750-588-4-257.
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Implementation of computerized systems in resource-constrained settings have been gaining traction as a means of improving the delivery of health care, the use and reuse of information, and providing a standards-based capacity for assessing the process and impact of health care. In a resource-constrained environment, systems are often implemented as stand-alone entities focused on specific care activities (for example, delivering antiretroviral therapy). As such, in many countries, taking a generalized approach to linking electronic medical record systems with laboratory information systems (EMR-LIS) is an important area in which to achieve interoperability. In this paper we describe a scenario of use and information interaction interoperability profile based on our experience implementing EMR-LIS integration in two resource-constrained settings. Of significance, the profile emphasizes queued matching in order to avoid mutual dependence while achieving interoperability between systems.
Conference papers on the topic "Capacity constrained resource (CCR)"
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Wu, Yuchen, Yanmin Zhu, Hongzi Zhu, and Bo Li. "CCR: Capacity-constrained replication for data delivery in vehicular networks." In IEEE INFOCOM 2013 - IEEE Conference on Computer Communications. IEEE, 2013. http://dx.doi.org/10.1109/infcom.2013.6567065.
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Haas, Zygmunt J., and Tara Small. "Evaluating the capacity of resource-constrained DTNs." In Proceeding of the 2006 international conference. ACM Press, 2006. http://dx.doi.org/10.1145/1143549.1143658.
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Zhang, Wenyi. "Outage-constrained service capacity with stochastic resource harvesting." In 2012 International Conference on Signal Processing and Communications (SPCOM). IEEE, 2012. http://dx.doi.org/10.1109/spcom.2012.6290245.
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Tsai, Chih-Wei, and Zsehong Tsai. "Bid-Proportional Auction for Resource Allocation in Capacity-Constrained Clouds." In 2012 IEEE Workshops of International Conference on Advanced Information Networking and Applications (WAINA). IEEE, 2012. http://dx.doi.org/10.1109/waina.2012.192.
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Khadilkar, Harshad. "Scheduling of vehicle movement in resource-constrained transportation networks using a capacity-aware heuristic." In 2017 American Control Conference (ACC). IEEE, 2017. http://dx.doi.org/10.23919/acc.2017.7963829.
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Holozadah, Bayan, and Shaligram Pokharel. "A Framework for Time-Driven Activity-Based Costing for Orthopedic Procedure." In Qatar University Annual Research Forum & Exhibition. Qatar University Press, 2021. http://dx.doi.org/10.29117/quarfe.2021.0116.
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This study used method of Time-Driven Activity-Based costing (TDABC) approach to examined cost reduction in healthcare sector, Knee Arthroplasty Department in Al-Emadi Hospital as case-study for delivering a primary knee arthroplasty consultation. The purpose of the study is to propose an optimization model that tends to determine significant and insignificant resources and cost uncertainties in a particular healthcare service. Then compare results of optimization model with current costing methods used in healthcare. Eight-steps of TDABC method are applied to obtain Capacity Cost Rate (CCR) of each human resource involved in care-delivery cycle. Data was collected from interviewing staff and patients, financial reports, and human resource reports. Multiple linear regression (MLR) model is used to test strength of relationship between time and cost variable. Optimization model applied to decrease uncertainties by using Least Square method. Optimized model showed that human resources are not fully utilized which leads to error in costing model. Seven human resources out of eight are significant to model. Accuracy of optimized model is equal to 3%, with RMSE equal to 6. Total cost of the optimized model equal $177,492.45 which is better simulate actual cost $180,048. The research value is about building a new statistical model using MLR analysis to predict behavior and data trend of main healthcare segmentation: Human Resource. Also, propose a generic optimization model that can be used for specific healthcare service costing.
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Genest, Romain, and Alain H. Clément. "Reduction of the Non-Causal Horizon of the Optimal Wave Energy Converter Control." In ASME 2014 33rd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/omae2014-23821.
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In our days, wave energy still remains an important resource of renewable energy that has not been yet completely exploited and fully understood. Various prototypes of point absorbers have already been tested numerically and experimentally in wave-tanks or real sea, but only a few of them has reach the full scale prototype stage. For the family of wave absorbers based on oscillating bodies principle, the energy production may be enhanced by motion control. The choice of a particular mode of control remains decisive in the design of point absorbers and is closely linked to the mechanism architecture. It has been shown [1] that the theoretical maximum absorption can be reached by bringing the system into resonance applying a so called “complex-conjugate” control. Several sub optimal control strategies have been derived from this observation, trying to overcome the draw-backs of this method, mainly the non-causality of the optimal control [3]. Non-causality implies that one needs to predict the excitation signal in the near future to optimize the control command. The aim of the present study is to propose a new methodology to reduce the prediction horizon needed to apply a complex-conjugate control. Afterwards, a simplification is made leading to a causal non-adaptive control. In this study, a cylindrical buoy constrained to move in heave only is employed to test numerically the aforementioned control. Numerical comparisons are made under regular and irregular waves with the performance of control based on the classical complex-conjugate method. The new method shows a good energy absorption capacity for a broad range of frequency without having to adapt the control regulator unit to the incident waves.
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Dominicini, Cristina Klippel, Magnos Martinello, and Moisés Renato Nunes Ribeiro. "Programmable, Expressive, Scalable, and Agile Service Function Chaining for Edge Data Centers." In XXXVIII Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos. Sociedade Brasileira de Computação, 2020. http://dx.doi.org/10.5753/sbrc_estendido.2020.12417.
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Edge computing transfers processing power from large remote data centers (DCs) to distributed DCs at the edge of the network. This shift requires the ability to provide network functions virtualization (NFV) solutions that can efficiently manage and combine a large number of dynamic services in a resource-constrained DC. However, the routing mechanisms of traditional data center networks are not adequate for the dynamic composition of these services, because they are complex, rigid, subject to large delays in the propagation of control information, and limited by the size of switches' routing tables. In addition, traditional service function chaining (SFC) solutions in the service overlay are often decoupled from routing decisions in the network underlay, and restrict path selection options by traffic engineering. In this way, the NFV orchestrator cannot explore the full capacity of the network to provide composite services. To tackle these issues, this thesis investigated a programmable, expressive, scalable, and agile SFC proposal that allows dynamic and efficient orchestration of the network infrastructure of edge DCs with commodity network equipment. The proposal exploits virtualization and programmability technologies of DC networks, server-centric DCs, fabric networks, and a source routing mechanism based on the residue number system (RNS). As proof-of-concept, we developed prototypes with production DC technologies, such as OpenFlow, OpenStack, Open vSwitch and P4. The results of functional and performance tests showed that the proposed SFC scheme provides mechanisms to the NFV orchestrator that allow traffic engineering to make optimized decisions in the selection of network paths. This thesis also paves the way for exploring RNS-based source routing properties in SFC schemes, which can provide features such as fast failure reaction and forwarding without packet rewrite. In a broader analysis, the student published 22 papers in journals and conferences, contributed to funding initiatives, worked on international and national research projects, supervised undergraduate students, and leaded initiatives with innovation impacts.
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Alkamil, Ethar H. K., Ammar A. Mutlag, Haider W. Alsaffar, and Mustafa H. Sabah. "The Role of Hybrid IoT with Cloud Computing and Fog Computing to Help the Oil and Gas Industry Recover from Covid-19 and Face Future Challenges." In SPE Annual Technical Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/206067-ms.
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Abstract Recently, the oil and gas industry faced several crucial challenges affecting the global energy market, including the Covid-19 outbreak, fluctuations in oil prices with considerable uncertainty, dramatically increased environmental regulations, and digital cybersecurity challenges. Therefore, the industrial internet of things (IIoT) may provide needed hybrid cloud and fog computing to analyze huge amounts of sensitive data from sensors and actuators to monitor oil rigs and wells closely, thereby better controlling global oil production. Improved quality of service (QoS) is possible with the fog computing, since it can alleviate challenges that a standard isolated cloud can't handle, an extended cloud located near underlying nodes is being developed. The paradigm of cloud computing is not sufficient to meet the needs of the already extensively utilized IIoT (i.e., edge) applications (e.g., low latency and jitter, context awareness, and mobility support) for a variety of reasons (e.g., health care and sensor networks). Couple of paradigms just like mobile edge computing, fog computing, and mobile cloud computing, have arisen in recently to meet these criteria. Fog computing helps to optimize services and create better user experiences, such as faster responses for critical, time-sensitive needs. At the same time, it also invites problems, such as overload, underload, and disparity in resource usage, including latency, time responses, throughput, etc. The comprehensive review presented in this work shows that fog devices have highly constrained environments and limited hardware capabilities. The existing cloud computing infrastructure is not capable of processing all data in a centralized manner because of the network bandwidth costs and response latency requirements. Therefore, fog computing demonstrated, instead of edge computing, and referred to as "the enabling technologies allowing computation to be performed at the edge of the network, on downstream data on behalf of cloud services and upstream data on behalf of IIoT services" (Shi et al., 2016) is more effective for data processing when data sources are close together. A review of fog and cloud computing literature suggests that fog is better than cloud computing because fog computing performs time-dependent computations better than cloud computing. The cloud is inefficient for latency-sensitive multimedia services and other time-sensitive applications since it is accessible over the internet, like the real-time monitoring, automation, and optimization of petroleum industry operations. As a result, a growing number of IIoT projects are dispersing fog computing capacity throughout the edge network as well as through data centers and the public cloud. A comprehensive review of fog computing features is presented here, with the potential of using it in the petroleum industry. Fog computing can provide a rapid response for applications through preprocess and filter data. Data that has been trimmed can then be transmitted to the cloud for additional analysis and better service delivery.
Reports on the topic "Capacity constrained resource (CCR)"
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Casimiro, June Ann, Karenina Romualdo, and Via Shane Santiago. Innovation Strategies in Traditional Cultural Expressions MSMEs in the Philippines: A Case Study. Philippine Institute for Development Studies, 2025. https://doi.org/10.62986/dp2024.48.
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This study investigates the innovation strategies of cultural micro, small, and medium enterprises (MSMEs) in Northern and Central Luzon, Philippines, operating within the domain of traditional cultural expressions, particularly traditional crafts and culinary crafts. These enterprises play a dual role in preserving cultural heritage and contributing to local economic development. As cultural and creative industries (CCIs) gain increasing recognition for their economic and social contributions, cultural MSMEs in developing regions face unique challenges. Through a qualitative case study approach involving nine MSMEs, the research explores innovations in products, processes, and business models. It also examines the motivations driving these innovations, barriers encountered, and opportunities for enhancing sustainability and competitiveness. Findings reveal that cultural entrepreneurs innovate to ensure economic viability, preserve cultural heritage, empower communities, and leave a lasting legacy. Their strategies respond to evolving consumer preferences, seek to expand market reach, and aim to modernize operations while maintaining the authenticity of their cultural products. However, challenges such as succession planning, diminishing artisanal skills, and limited access to financial resources constrain their capacity to scale, adopt new technologies, and remain competitive in both local and global markets. The study identifies key innovation strategies, including product and process diversification, technology integration, strategic marketing, and stakeholder collaboration. Many MSMEs adopt hybrid production models, blending traditional craftsmanship with mechanized processes to enhance efficiency without undermining cultural value. Partnerships with government agencies, universities, and private entities emerge as critical to fostering innovation ecosystems that support cultural entrepreneurship. Despite these efforts, significant barriers persist. The declining interest of younger generations in traditional crafts threatens the continuity of artisanal skills, compounded by the absence of formal training programs. Limited financial resources further hinder growth and modernization, restricting the ability of MSMEs to compete effectively. To address these challenges, the study advocates for a collaborative approach involving policymakers, industry stakeholders, and consumers to create an enabling environment for innovation and sustainability. Such a framework must include targeted support for skills development, financial accessibility, and market expansion. This research emphasizes the essential role of cultural MSMEs within the traditional cultural expressions domain and their contribution to the broader CCI ecosystem. It offers actionable insights for addressing structural barriers and leveraging opportunities to enhance the resilience and competitiveness of these enterprises. By empowering cultural MSMEs, the Philippines can preserve its rich cultural heritage while fostering economic growth and social development.
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Hwa, Yue-Yi, Sharon Kanthy Lumbanraja, Usha Adelina Riyanto, and Dewi Susanti. The Role of Coherence in Strengthening CommunityAccountability for Remote Schools in Indonesia. Research on Improving Systems of Education (RISE), 2022. http://dx.doi.org/10.35489/bsg-rise-wp_2022/090.
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Incoherence in accountability relationships can hamper the quality of education. Such incoherence can be a particular challenge in resource-constrained, remote villages where teachers tend to have higher educational capital and social status than the parents and communities that they serve. We analyze quantitative and qualitative data from a randomized controlled trial of a social accountability mechanism (SAM) for schools in remote Indonesian villages. The intervention had three treatment arms, all of which included the SAM, which engaged village-level stakeholders in a consensus-building process that led to joint service agreements for supporting the learning process. Prior analyses have found that all three treatment arms significantly improved student learning, but the treatment arm combining the SAM with performance pay based on camera-monitored teacher attendance led to much larger gains than the SAM-only treatment or the treatment arm combining the SAM with teacher performance pay based on a community-evaluated scorecard. Drawing on a range of quantitative data sources across all treatment schools (process monitoring, survey, and service agreement indicators) and qualitative data from nine case study schools (interviews and focus group discussions), we show firstly that the student learning gains across all three treatment arms were accompanied by increases in the coherence of the accountability relationships between village-level stakeholders, and in the degree to which these relationships were oriented toward the purpose of cultivating learning. We further show that the treatment combining SAM with camera-monitored teacher performance pay led to greater improvements in the coherence of accountability relationships than the other treatment arms, because the cameras improved both the technical capacity and the social legitimacy of community members to hold teachers accountable. This coherence-focused, relational explanation for the relative effectiveness of the treatment arms has more explanatory power than alternative explanations that focus narrowly on information quality or incentive structure. Our analysis reinforces arguments for ensuring that accountability structures are coherent with the local context, including local social structures and power dynamics.