Policies on poverty and the fisheries sector in Uganda: the current policy trends

There are concerns, at least among the proponents of development, on how to link policy development processes in Uganda and the associated transformation of the poor to high standards of living. In fact some questions have been posed as to whether it's the absence of poverty-targeted policies that a good proportion of individuals or communities are still poor. In the fisheries sector where most of the fish dependent communities live, poverty indications are still prevalent although arguments have been put that current reforms in the sector have transformed the lives of the fish dependent communities. The 1999/2000 household survey report indicates that the poverty levels reduced to 35% of Uganda's total population from 44% in 1997. The question that arose, which still arises anyway, was to define who is actually poor. When measuring poverty one is ultimately interested in the 'standards of living' of individuals especially those, whose standards of living are inadequate. The basic element of measuring this inadequacy/adequacy, at least in Uganda, is to use the household income or consumption per adult equivalent. Studies have demonstrated that household consumption expenditure is a good approximation of household income1. Therefore, for purpose of this report, we define poor households to mean based on that that one adopted by the Ministry of Finance to mean "households whose expenditure per adult equivalent falls below the poverty line 3 ". Many government documents report that the poverty line is one dollar a day. Therefore someone is below the poverty line if he or she lives on less than one dollar a day. In this paper, we analyse the evolution of poverty-driven policies that have been put in place by government and how these policies are shifting or are likely to shift the lives of fish dependent communities. We argue that combinations of poverty-policies are being translated into increased incomes and welfare of most individuals in the fisheries sector. The reasons for this shift, we argue, is as a result of a combination of factors all supported by non other that poverty-led government policies.

Enforcing RFID data visibility restrictions using XACML security policies

Radio Frequency Identification (RFID) technology allows automatic data capture from tagged objects moving in a supply chain. This data can be very useful if it is used to answer traceability queries, however it is distributed across many different repositories, owned by different companies. © 2012 IEEE.

Optimal constraint tightening policies for robust variable horizon model predictive control

This paper develops a technique for improving the region of attraction of a robust variable horizon model predictive controller. It considers a constrained discrete-time linear system acted upon by a bounded, but unknown time-varying state disturbance. Using constraint tightening for robustness, it is shown how the tightening policy, parameterised as direct feedback on the disturbance, can be optimised to increase the volume of an inner approximation to the controller's true region of attraction. Numerical examples demonstrate the benefits of the policy in increasing region of attraction volume and decreasing the maximum prediction horizon length. © 2012 IEEE.

Expressive RFID data access policies for the Pharmaceuticals supply chain

The Pharma(ceuticals) industry is at a cross-roads. There are growing concerns that illegitimate products are penetrating the supply chain. There are proposals in many countries to apply RFID and other traceability technologies to solve this problem. However there are several trade-offs and one of the most crucial is between data visibility and confidentiality. In this paper, we use the TrakChain assessment framework tools to study the US Pharma supply chain and to compare candidate solutions to achieve traceability data security: Point-of-Dispense Authentication, Network-based electronic Pedigree, and Document-based electronic Pedigree. We also propose extensions to a supply chain authorization language that is able to capture expressive data sharing conditions considered necessary by the industry's trading partners. © 2013 IEEE.