Budget Allocation for Information Logistics in Taiwan Residents University

This research serves the primary purpose to support the reform of administration budgets for Taiwan Residents universities to optimize their document processing system. The main research method applied is quantitative analysis to explore the relationships between document quantity and each administration spending. The research observes that Taiwan Residents universities in general rely more on electronic systems to manage documents. Therefore, as proven by correlation test and regression model, personnel spending and miscellaneous spending are the only two categories which can help predict document flows. However, only miscellaneous spending is positively related to document quantity, so this category should be allocated with more funding. Personnel spending, on the contrary, should be less. For the long-term budgeting strategy, Taiwan Residents universities should begin with discovering problems from the existing system, design an allocation plan, execute the plan, and finally evaluate the outcomes. This project is on the first to explore the new academic research field which relates to logistics, budgeting, and university administration.

Combination advertising with budget constraint

An appropriate advertising mode selection and allocation of advertising budgets considering advertising budget constraints are developed with the game theory and optimization model.The results show that the advertising budget and the weakening factor of the online advertising effects on the traditional advertising affect sellers advertising,pricing strategies and budget allocation.The effectiveness of combination advertising is a Pareto optimum relative to the traditional advertising in a certain range.The weakening effect of the online advertising on the traditional advertising has a nonlinear effect on the advertising strategy and pricing strategy.In addition,sellers choose combination advertising with different budget constraints,and there is an optimal budget allocation ratio.In certain cases,sellers can obtain an optimal advertising expenditure less than the budget constrain.When sellers adopt combination advertising with enough budget,they do not invest in traditional advertising without limit.Moreover,compared with enough budget,when sellers adopt combination advertising with budget constrain,sellers do not decrease the advertising allocation of online advertising since online advertising is more efficient.

Optimal Budget Spending for Software Testing under the Condition of Nonlinear Constraint

Software testing is a very important phase of the software development process. It is a very difficult job for a software manager to allocate optimally the financial budget to a software project during testing. In this paper the problem of optimal allocation of the software testing cost is studied. There exist several models focused on the development of software costs measuring the number of software errors remaining in the software during testing. The purpose of this paper is to use these models to formulate the optimization problems of resource allocation: Minimization of the total number of software errors remaining in the system. On the assumption that a software project consists of some independent modules, the presented approach extends previous work by defining new goal functions and extending the primary assumption and precondition.

A Differential Privacy Budget Allocation Method Combining Privacy Security Level

Trajectory privacy protection schemes based on suppression strategies rarely take geospatial constraints into account,which is made more likely for an attacker to determine the user’s true sensitive location and trajectory.To solve this problem,this paper presents a privacy budget allocation method based on privacy security level(PSL).Firstly,in a custom map,the idea of P-series is contributed to allocate a given total privacy budget reasonably to the initially sensitive locations.Then,the size of privacy security level for sensitive locations is dynamically adjusted by comparing it with the customized initial level threshold parameterµ.Finally,the privacy budget of the initial sensitive location is allocated to its neighbors based on the relationship between distance and degree between nodes.By comparing the PSL algorithm with the traditional allocation methods,the results show that it is more flexible to allocate a privacy budget without compromising location privacy under the same preset conditions.

Intelligent computing budget allocation for on-road tra jectory planning based on candidate curves

In this paper, on-road trajectory planning is solved by introducing intelligent computing budget allocation(ICBA) into a candidate-curve-based planning algorithm, namely, ordinal-optimization-based differential evolution(OODE). The proposed algorithm is named IOODE with ‘I' representing ICBA. OODE plans the trajectory in two parts: trajectory curve and acceleration profile. The best trajectory curve is picked from a set of candidate curves, where each curve is evaluated by solving a subproblem with the differential evolution(DE) algorithm. The more iterations DE performs, the more accurate the evaluation will become. Thus, we intelligently allocate the iterations to individual curves so as to reduce the total number of iterations performed. Meanwhile, the selected best curve is ensured to be one of the truly top curves with a high enough probability. Simulation results show that IOODE is 20% faster than OODE while maintaining the same performance in terms of solution quality. The computing budget allocation framework presented in this paper can also be used to enhance the efficiency of other candidate-curve-based planning methods.

Optimization on Bicycle Sharing Network

In this paper, we propose an ordinal optimization based simulation optimization algorithm to determine a target distribution of bicycles for a bicycle sharing network to minimize an expected cost. The proposed algorithm consists of two stages. The first stage is using GA （genetic algorithm） assisted by a surrogate model to select an estimated good enough subset of solutions. The second stage is to identify the best solution among the solutions obtained from stage one using optimal computing budget allocation technique. We have tested the proposed algorithm on a bicycle sharing network and compared the test results with those obtained by the GA with exact model. The test results demonstrate that the proposed algorithm can obtain a good enough solution within reasonable computing time and outperforms the comparing method.

A Realistic Path to Implementing China's Budget Law

The core issue for the implementation of modem budget law is to optimize the satisfaction of society＇s demand for public goods. The form of implementation mechanism that will best achieve this goal has thus become a major topic in the field of legal research. To go beyond the Anglo-Saxon budget model and construct a realistic path for the implementation of China＇s budget law, this issue needs to be explored from the perspective of Chinese citizens in a way that safeguards the fundamental interests of the people and is premised on upholding and improving the People＇s Congress system, so as to achieve a balance between internal and external budget allocation relationships. There are three routes to implementing China＇s budget law： the political, the social, and the judicial. Under the first, citizens＇ political identity interests are represented by deputies who oversee the budgetary powers of administrative bodies through the People＇s Congress. Under the second, citizens individually or collectively participate, influence or even decide the allocation of public economic resources through dialogue, negotiation, reasoning and argument with the responsible budgetary agency in the course of the budget＇s compilation, examination and approval, execution and supervision. Under the third, the establishment of a system for budgetary litigation allows citizens to participate in and supervise the implementation of the budget law, individually or collectively. This provides judicial security for the law＇s implementation. These three realistic implementation routes represent the dialectical unity of concerted institutional effort aimed directly at effective implementation of budget law. Judicial interpretations of budget law implementation indicate the importance and urgency of promoting national governance capacity through reform of the legal systems governing finance and taxation. This explains the significant role of finance and taxation law in national governance.

Stochastic systems simulation optimization

With the advance of new computational technology,stochastic systems simulation and optimization has become increasingly a popular subject in both academic research and industrial applications.This paper presents some of recent developments about the problem of optimizing a performance function from a simulation model.We begin by classifying different types of problems and then provide an overview of the major approaches,followed by a more in-depth presentation of two specific areas:optimal computing budget allocation and the nested partitions method.

Financing Disaster Risk Reduction:Exploring the Opportunities,Challenges,and Threats Within the Southern African Development Community Region

The Southern African Development Community(SADC)region,a regional economic body comprised of 16 member states,is one of our planet's most vulnerable regions to natural hazards,and has a complex disaster risk profile.The region has sustained several disasters over the past decades.These events include annual floods in 2004-2019 and extreme droughts(1990-1993);other climate-induced disasters,such as cyclones,also have had devastating impacts,particularly on the Indian Ocean island states and east coast countries.To reduce the risk and impacts of dis asters,governments must invest in disaster risk reduction(DRR).However,interventions aimed at reducing social and economic vulnerability and investing in longterm mitigation activities are often few,poorly funded,and insignificant in comparison with money spent on humanitarian assistance,dis aster relief,and post-disaster reconstruction.This study investigated whether DRR is adequately funded within SADC member states in light of the high stakes in human life,infrastructure,and economic losses and the potential savings involved.The study applied a qualitative research design with data collected through semistructured interviews and focus group discussions.Respondents were selected purposefully and through snowball sampling with a total of 67 respondents from Botswana,Eswatini,Namibia,South Africa,and Zimbabwe participating in the study.The study findings reveal that DRR is inadequately funded in all the member states consulted in comparison to funding allocated to disaster response.In light of the underfunding experienced by DRR activities,this study provides a platform for lobbying and advocacy for adequate funding for DRR.

Different challenges,different approaches and related expenditures of communitybased tuberculosis activities by international non-governmental organizations in Myanmar

Background:International non-governmental organizations(INGOs)have been implementing community-based tuberculosis(TB)care(CBTBC)in Myanmar since 2011.Although the National TB Programme(NTP)ultimately plans to take over CBTBC,there have been no evaluations of the models of care or of the costs of providing CBTBC in Myanmar by INGOs.Methods:This was a descriptive study using routinely-collected programmatic and financial data from four INGOs during 2013 and 2014,adjusted for inflation.Data analysis was performed from the provider perspective.Costs for sputum examination were not included as it was provided free of charge by NTP.We calculated the average cost per year of each programme and cost per patient completing treatment.Results:Four INGOs assisted the NTP by providing CBTBC in areas where access to TB services was challenging.Each INGO faced different issues in their contexts and responded with a diversity of strategies.The total costs ranged from US$140754 to US$550221 during the study period.The cost per patient completing treatment ranged from US$215 to US$1076 for new cases and US$354 to US$1215 for retreatment cases,depending on the targeted area and the package of services offered.One INGO appeared less costly,more sustainable and patient oriented than others.Conclusions:This study revealed a wide variety of models of care and associated costs for implementing CBTBC in diverse and challenging populations and contexts in Myanmar.Consequently,we recommend a more comprehensive evaluation,including development of a cost model,to estimate the costs of scaling up CBTBC country-wide,and cost-effectiveness studies,to best inform the NTP as it prepares to takeover CBTBC activities from INGOs.While awaiting evidence from these studies,model of CBTBC that have higher sustainability potential and allocate more resources to patient-centered care should be given priority support.