This article contains the data set and model code for the negative emission polygeneration system described in Tan et al. (2019). The data was generated utilizing an optimization model implemented in LINGO 18.0 and includes information on the operating state of each process unit in the system. The maximum annual profit of the system was determined at different carbon footprint targets. The data set and model code can be utilized for further analysis on the interdependence between the process units of this polygeneration system, its operational and environmental performance, and the potential impact of integrating new process units into the network.
Matched MeSH terms: Health Facilities, Proprietary
CONCLUSIONS: The comparison of different selection indices is justified only if the indices are constrated to achieve the same profit function, even when each index is not optimized with respect to that profit function.When a profit function is known and is non-linear, the desired gains index may be more efficient than the economic index. The optimum desired gains index should be determined by iterative techniques over several generations to compare the genetic progress with the economic index, because gains by the economic index are not linear and the changes observed in the initial generations of selection are not the same rates in future generations, although those changes are linear in the case of the desired gains index.
Matched MeSH terms: Health Facilities, Proprietary
Cloud Computing provides a solution to enterprise applications in resolving their services at all level of Software, Platform, and Infrastructure. The current demand of resources for large enterprises and their specific requirement to solve critical issues of services to their clients like avoiding resources contention, vendor lock-in problems and achieving high QoS (Quality of Service) made them move towards the federated cloud. The reliability of the cloud has become a challenge for cloud providers to provide resources at an instance request satisfying all SLA (Service Level Agreement) requirements for different consumer applications. To have better collation among cloud providers, FLA (Federated Level Agreement) are given much importance to get consensus in terms of various KPI’s (Key Performance Indicator’s) of the individual cloud providers. This paper proposes an FLASLA Aware Cloud Collation Formation algorithm (FS-ACCF) considering both FLA and SLA as major features affecting the collation formation to satisfy consumer request instantly. In FS-ACCF algorithm, fuzzy preference relationship multi-decision approach was used to validate the preferences among cloud providers for forming collation and gaining maximum profit. Finally, the results of FS-ACCF were compared with S-ACCF (SLA Aware Collation Formation) algorithm for 6 to 10 consecutive requests of cloud consumers with varied VM configurations for different SLA parameters like response time, process time and availability.
Matched MeSH terms: Health Facilities, Proprietary
PIP:
The NADI program (pulse in Malay) was initially launched as a pilot project in 1980 in Kuala Lumpur, Malaysia. It utilized an integrated approach involving both the government and the private sectors. By sharing resources and expertise, and by working together, the government and the people can achieve national development faster and with better results. The agencies work through a multi-level supportive structure, at the head of which is the steering committee. The NADI teams at the field level are the focal points of services from the various agencies. Members of NADI teams also work with urban poor families as well as health groups, parents-teachers associations, and other similar groups. The policy and planning functions are carried out by the steering committee, the 5 area action committees and the community action committees, while the implementation function is carried out by the area program managers and NADI teams. The chairman of each area action committee is the head of the branch office of city hall. Using intestinal parasite control as the entry point, the NADI Integrated Family Development Program has greatly helped in expanding inter-agency cooperation and exchange of experiences by a coordinated, effective and efficient resource-mobilization. The program was later expanded to other parts of the country including the industrial and estate sectors. Services provided by NADI include: comprehensive health services to promote maternal and child health; adequate water supply, proper waste disposal, construction of latrines and providing electricity; and initiating community and family development such as community education, preschool education, vocational training, family counseling and building special facilities for recreational and educational purposes.
Matched MeSH terms: Health Facilities, Proprietary*