Political Conflict between the DKI Jakarta Governor and DPRD in the 2015 APBD Determination Process

The purpose of this study is to describe the political conflict between the DKI Jakarta Governor and the Regional People's Representative Assembly (DPRD) in the 2015 APBD Determination Process. The design method used is a qualitative case study. The research was carried out in DKI Jakarta in 2015. Primary data were obtained from various documents related to implementing the Healthy Jakarta program held by the DKI Jakarta governor and deputy governor in 2013 through interviews about the object under study. The research object is the Political Conflict between the DKI Jakarta Governor and DPRD in the 2015 Regional Revenue and Expenditure Budget (APBD) Determination Process. Observation, interviews, and documentation carried out data collection techniques. The data analysis process began by examining all available data from various sources such as interviews, observations that have been written in field notes, documents, pictures, photos, Etc. After reading, studying, and reviewing, the next step was reducing the data by doing abstractions (making the core summary, processes, and statements that need to be provided) arranged in units. Then, the units were categorized while coding. The results showed that divided local government occurring in DKI Jakarta is the leading cause of conflict between the DKI Jakarta Governor and DPRD. It shows that the divided local government triggers prolonged conflicts between the Governor and DPRD. The impact of political conflict between the DKI Jakarta Governor and DPRD has disrupted the government path in DKI Jakarta Province. It started from the delay in discussing and determining the 2015 Draft of Revenue and Expenditure Budget (RAPBD), the planned transportation megaproject, specifically the Mass Rapid Transit (MRT) development project, and budget absorption in the 2014 DKI Jakarta APBD are getting lower.

Query Sense Discovery Approach to Realize the User's Search Intent

The main goal of information retrieval is getting the most relevant documents to a user’s query. So, a search engine must not only understand the meaning of each keyword in the query but also their relative senses in the context of the query. Discovering the query meaning is a comprehensive and evolutionary process; the precise meaning of the query is established as developing the association between concepts. The meaning determination process is modeled by a dynamic system operating in the semantic space of WordNet. To capture the meaning of a user query, the original query is reformulating into candidate queries by combining the concepts and their synonyms. A semantic score characterizing the overall meaning of such queries is calculated, the one with the highest score was used to perform the search. The results confirm that the proposed "Query Sense Discovery" approach provides a significant improvement in several performance measures.

Research on a Partial Aperture Factor Measurement Method for the Agri Onboard Calibration Assembly

A partial aperture onboard calibration method can solve the onboard calibration problems of some large aperture remote sensors, which is of great significance for the development trend of increasingly large apertures in optical remote sensors. In this paper, the solar diffuser reflectance degradation monitor (SDRDM) in the onboard calibration assembly (CA) of the FengYun-4 (FY-4) advanced geostationary radiance imager (AGRI) is used as the reference radiometer for measuring the partial aperture factor (PAF) for the AGRI onboard calibration. First, the linear response count variation relationship between the two is established under the same radiance source input. Then, according to the known bidirectional reflection distribution function (BRDF) of the solar diffuser (SD) in the CA, the relative reflectance ratio coefficient between the AGRI observation direction and the SDRDM observation direction is calculated. On this basis, the response count value of the AGRI and the SDRDM is used to realize the high-precision measurement of the PAF of the AGRI B1 ~ B3 bands by simulating the AGRI onboard calibration measurement under the illumination of a solar simulator in the laboratory. According to the determination process of the relevant parameters of the PAF, the measurement uncertainty of the PAF is analyzed; this uncertainty is better than 2.04% and provides an important reference for the evaluation of the onboard absolute radiometric calibration uncertainty after launch.

Determination of government guarantee and revenue cap in public–private partnership contracts

PurposeConsidering there is a lack of research in determining the optimal levels of government guarantee and revenue cap, the objective of this research is to determine their optimal levels to achieve a reasonable financial risk allocation between governments and private investors while avoiding overly lucrative conditions for private investors.Design/methodology/approachExpanded net present value (NPV) analysis and bargaining game theory are employed to construct the core of the determination process. The risk gap between governments and private investors is assessed via an expanded NPV analysis to see if the financial risk has been shared reasonably, based on which the range of the government guarantee is decided. A bargaining model is then created to help locate the optimal level of the government guarantee. Finally, a revenue cap, often combined with the government guarantee in public–private partnership (PPP) agreements, will be determined if overly lucrative conditions for private investors are observed or governments suffer a risk spillover.FindingsReferring to a real PPP project in Australia, Project BA is created to validate the applicability of the proposed determination process. The outcome shows that the proposed determination process in this paper is capable of determining the optimal levels of government guarantee and revenue cap. The government preferences towards risk allocation will influence the values of the optimal levels. Governments may also consider to alleviate the control over investors' net profits to mobilise private investors into PPP projects.Research limitations/implicationsThere is a potential possibility that the revenue cap fails to control the financial risk for governments or the overly lucrative condition for private investors. In other words, even though the revenue cap is set at the minimal level, the financial risk for governments still beyond their tolerance range or the overly lucrative condition for private investors still occurs. Future research may focus on other financial protective schemes which help to better control the financial risks for governments and profits for private investors.Originality/valueGovernment guarantees are frequently used as an investment incentive to reduce the probabilities of suffering loss for private investors. Nevertheless, the financial risks for governments may increase after providing guarantees and, as a result, revenue cap is required by governments to avoid placing themselves in an unprotected situation. By recognising the importance of the two contractual parameters, many scholars dig into their option values. However, there are very rare research works focussing on the method of determining the specific levels of government guarantee and revenue cap. To overcome the limitations of existing models and enrich the methodology for government guarantee and revenue cap determination, this paper contributes to the body of knowledge by developing a government guarantee and revenue cap determination process which contributes to a reasonable allocation of financial risks between governments and private investors.

Fast and Accurate Position Determination of Multimodal Couplings of Steel Rolling Machinery and Equipment Combined with Multimedia Optimized Particle Filters

During the overhaul and maintenance of the transmission system of the modern rolling mill, a very common problem is the positioning of the motor and the reducer or speed increaser. The operation of the equipment and the service life of the equipment will be significantly affected by the accuracy of the multimodal coupling position determination. Therefore, precise positioning and rapid positioning must be achieved. This article intends to analyze how this type of equipment achieves rapid and accurate positioning and what factors will affect the location determination process.

A highly efficient approach for bi-level programming problems based on dominance determination

Bi-level programming, where one objective is nested within the other, is widely used in engineering design, e.g., structural optimization and electronic system design. One major issue of current solvers for these bi-level problems is their low computational efficiency, especially for complex nonlinear problems. To solve this issue, a new method based on bi-level grey wolf optimizer is proposed in this paper. The basic idea is to drop the time-consuming nested computational structure commonly used by existing methods and instead use a simultaneous computational structure built on top of a dominance determination process for the grey wolf optimizer. The effectiveness of this new method has been validated with ten benchmark functions and two engineering design examples, as well as comparisons with three important existing methods in the bi-level programming domain.

INVESTIGATING THE CHARACTERISTICS OF LARGE-VOLUME PVT SCINTILLATION DETECTORS IN THE RADIATION PORTAL MONITORS USING MONTE CARLO SIMULATIONS

This paper presents the characteristics determination process of the large-size Polyvinyl Toluene (PVT) scintillation detectors using MCNP5 simulation code. The energy spectra using a 137Cs calibration source, absolute efficiency in the energy range of 50 ÷ 3000 keV, and the angular response of the EJ-200 50×50×5 cm3 and 25×25×5cm3 are investigated. The simulated energy spectra are in good agreement with the experimental spectra. The results of determining the absolute efficiency show that the EJ-200 50×50×5 cm3 and 25×25×5cm3 plastic detectors have detection efficiencies of 16,3% and 9,2%, respectively, at 10cm source-to-detector distance, and down to 0,6% and 0,17% at 100 cm source-to-detector distance. The angular responses of the detectors show that the detection efficiency value reached ≥ 90% of the maximum value with the incident angle less than 5π/6. The results can be applied in the process of design optimization of plastic-based radiation portal monitors.

Evaluating Reputation of Internet Financial Platform: An Improved Fuzzy Evaluation Approach

Recent frequent “thunderstorm incidents” of the internet financial platforms (IFPs) have caused the panic of investors. In order to measure and reduce the investment risk of IFPs, the focus of this study is to evaluate the reputation of IFPs regarding investment risk. First, the reputation evaluation indicator system of IFPs is constructed from two dimensions of direct and indirect reputations. Then, based on this system, an improved fuzzy evaluation approach (IFEA) integrating the method of fuzzy comprehensive evaluation (FCE), the analytic hierarchy process (AHP), and the factor analysis (FA) are proposed for evaluating the reputation of IFPs. Finally, a case study based on the data of 20 peer-to-peer (P2P) lending platforms from “Home of Online Loans” (HOL) in China is used to illustrate the IFEA. Results show that the IFEA can reduce uncertainty and randomness in the determination process of indicator weight and membership degree and therefore accurately obtain the reputation level of IFPs and help investors make better decisions. Meanwhile, the key factors in determining the reputation of IFPs are identified, thereby improving the reputation level of the IFPs.

A Stakeholder Analysis of the Development of a Large-Scale Professional Development Program

The development of a large-scale professional development project for Swedish mathematics teachers is retrospectively examined. By referring to documentation produced by stakeholders in the development process, the stakeholder’s design recommendations and underlying assumptions on teacher development are described. Seeing the development as a co-determination process explains how research-based principles appearing early in the process gradually change to become something different in the end, without the reasons for this shift ever being explicitly discussed in stakeholders’ documentations. It is discussed whether the distributed way of constructing the program might cause difficulties in sticking to an explicit theory of change. The impact sheet to this article can be accessed at 10.6084/m9.figshare.16610113.

Multiple Attribute Decision-Making Problem Using Picture Fuzzy Graph

In a picture fuzzy environment, almost all multiple attribute decision-making ( MADM ) methods have been discussed a type of problem in which there is no relationship among the attributes. Although the relationship among the attributes should be considered in the actual applications, so we need to pay attention to that important issue. This article applied graph theory to the picture fuzzy set ( PFS ) and obtained a new method, MADM , to solve complicated problems under a picture fuzzy environment. The developed method can capture the relationship among the attributes that cannot be handled well by any existing methods. This study introduces union, intersection, sum, Cartesian product, the composition of picture fuzzy graphs ( PFG s), and their important properties. Finally, by considering the importance of relationships among attributes in the determination process, two algorithms, based on PFG , have developed to solve complicated problems using picture fuzzy information. Also, two numerical examples have introduced to explain how to deal with the MADM problem under picture fuzzy environment.