Social Capital Capacity as Prediction of Dengue Control

The program of elimination of mosquito breeding places is still low since there is no public participation effort in vector control. Social capital is key factor for sustaining any health programs implemented. This study was aimed to analyze the effectiveness of social capital impact on participation and environmental based dengue prevention programs. Study design was cross sectional. Population study was community around Bantul district. Sample was collected as 600 house hold devide on two categories endemic and potential areas. Data was collected with interviews and observation. Data were analyzed with person corelation, confirmatory analyzed and path way analyzed. There were significantly relationships between social capital and family perseption, disease perception, individual perception, environment perception and larva density p < 0,05. Relationship between perception of counselling and family perception, dengue programs and family perception p < 0,05, and the strongest factor is environment participation (r=0.296). Based on the path analysis for potential areas, social capital was effectively for increased larvae free index through family perception. Theoretically, model for social capital is more efficient in increasing the number of free larvae index through community environment participation. In potential areas, social capital is concluded to be more effectively increase of larva index through participation of individuals. In endemic areas, that dengue programs increase larva index more effectively, compared with social capital does. Strengthening of social capital is important because it effectively the coverage of larva index through environment participation both areas

Traffic Control and Route Choice; Capacity Maximization and Stability

Peer reviewedPublisher PD

Capacity-building and community control of local economic assets

This paper explores the major changes and challenges confronting British credit unions, and highlights some of their implications in relation to notions of capacity-building. The paper’s key themes were presented at a wide range of local, national and international conference presentations including the National Association of Credit Union Workers, Birmingham, 2001; ESRC ‘Capacity building: learning for community economic development’ seminar series, ‘Seminar Three: Capacity-building and community control of local economic assets’, Salford University, 2001; Alternative Economic Spaces, Hull, 2005; and via discussions with local user communities throughout the UK (including through non-academic publishing, including SCCD news and New Start articles)

On the intertwining between capacity scaling and TCP congestion control

Recent works advocate the possibility of improving energy efficiency of network devices by modulating switching and transmission capacity according to traffic load. However, addressing the trade-off between energy saving and Quality of Service (QoS) under these approaches is not a trivial task, specially because most of the traffic in the Internet of today is carried by TCP, and is hence adaptive to the available resources. In this paper we present a preliminary investigation of the possible intertwining between capacity scaling approaches and TCP congestion control, and we show how this interaction can affect performance in terms of both energy saving and QoS

Integral inventory control in spare parts networks with capacity restrictions

Integral inventory control of repairable items in service networks can result in a significant gain compared to traditional local control mechanisms, in terms of both efficiency and customer service. Research on quantitative decision support models has yielded various useful results. However, in many of these models, the random components such as demand and lead times are modelled as black boxes.In this thesis, the author focuses on the modelling of the lead times in repair facilities with limited capacities and reasonable repair priority settings. To this end, several kinds of multi-class, multi-server queueing models with different priority settings have been developed. The resultant queueing models are plugged into a well-known spare parts supply model, which usually assumes ample server capacity. The multi-class nature of the queueing models, which means that items with different arrival and service rates share the same queueing process, makes it possible to obtain more natural spare part models and more flexibility in optimisation

Optimal control of systems with capacity: Related noises

In the ordinary theory of optimal control (LQR and Kalman filter), the variances of the actuators and the sensors are assumed to be known (not related to the capacities of the devices). This assumption is not true in practice. Generally, a device with greater capacity to exert actuating forces and a sensor capable of sensing greater sensing range will generate noise of greater power spectral density. When the ordinary theory of optimal control is used to estimate the errors of the outputs in such cases it will lead to faulty results, because the capacities of such devices are unknown before the system is designed. The performance of the system designed by the ordinary theory will not be optimal as the variances of the sensors and the actuators are neither known nor constant. The interaction between the control system and structure could be serious because the ordinary method will lead to greater feedback (Kalman gain) matrices. Methods which can optimize the performance of systems when noises of the actuators and the sensors are related to their capacities are developed. These methods will result in smaller feedback (Kalman gain) matrix

Impact of Power Allocation and Antenna Directivity in the Capacity of a Multiuser Cognitive Ad Hoc Network

This paper studies the benefits that power control and antenna directivity can bring to the capacity of a multiuser cognitive radio network. The main objective is to optimize the secondary network sum rate under the capacity constraint of the primary network. Exploiting location awareness, antenna directivity, and the power control capability, the cognitive radio ad hoc network can broaden its coverage and improve capacity. Computer simulations show that by employing the proposed method the system performance is significantly enhanced compared to conventional fixed power allocation