Implementation of ontology for intelligent hospital ward

We have developed and implemented an ontology for an intelligent hospital ward. Our aim is to address the pervasiveness of computing applications in healthcare environments, which require: sharing of data across the hospital, including data generated by sensors and embedded in such environments, and dealing with semantic heterogeneity that exists across the hospital's data repositories. Our conceptual ontological model that supports such an environment has been implemented using semantic web tools and tested through the application developed with the J2EE technology

PENERAPAN KEBIJAKAN KETERBUKAAN INFORMASI PUBLIK DI DINAS KOMUNIKASI INFORMATIKA DAN STATISTIK KABUPATEN ENREKANG

This study aims to determine the application of the Public Information Disclosure Policy at the Department of Communication, Informatics and Statistics, Enrekang Regency. This type of research uses a qualitative method which aims to provide a descriptive description of the application of the Public Information Disclosure Policy at the Department of Communication, Information and Statistics, Enrekang Regency. Data sources consist of primary data obtained through interviews, and secondary data taken from documents, records, reports, and official archives that can be supported by the integrity of primary data. The results of the study indicate that the communication indicator produces answers that are in accordance with existing policies, the second indicator regarding resources shows that it is good, and the third disposition shows that the results are already responsible for its implementation

A new framework for resolving conflicts over transboundary rivers using bankruptcy methods

A novel bankruptcy approach is proposed for resolving transboundary river conflicts in which the total water demand or claim of the riparian parties is more than the available water. Bankruptcy solution methods can allocate the available water to the conflicting parties with respect to their claims. Four commonly used bankruptcy methods in the economic literature are used here to develop new river bankruptcy solution methods for allocating water to the riparian parties of river systems. Given the non-uniform spatial and temporal distribution of water across river basins, the proposed solution methods are formulated as non-linear network flow optimization models to allocate water with respect to time sensitivity of water deliveries at different locations in a river network during the planning horizon. Once allocation optimization solutions are developed, their acceptability and stability must be evaluated. Thus, a new bankruptcy allocation stability index (BASI) is developed for evaluating the acceptability of river bankruptcy solutions. To show how the proposed river bankruptcy framework can be helpful in practice, the suggested methods are applied to a real-world transboundary river system with eight riparians under various hydrologic regimes. Stability analysis based on the proposed stability evaluation method suggests that the acceptability of allocation rules is sensitive to hydrologic conditions and demand values. This finding has an important policy implication suggesting that fixed allocation rules and treaties may not be reliable for securing cooperation over transboundary water resources as they are vulnerable to changing socioeconomic and climatic conditions as well as hydrologic non-stationarity

ETUDE DE L’ISOTHERME 25 °C DU SYSTEME QUASI QUATERNAIRE H2O - Zn(NO3)2,6H2O – Cu(NO3)2,3H2O - NH4NO3 II- ISOPLETHES : 41 MASSE % Cu(NO3)2, [MASSE DE NH4NO3] = -10/9 [MASSE DE Zn(NO3)2] + 100, [MASSE DE H2O] = 0.5702 [MASSE DE ZN(NO3)2] + 0.2879[ MASSE DE

The solid-liquid equilibria of the quasi quaternary system H2O Zn(NO3)2,6H2O Cu(NO3)2,3H2O-NH4NO3 were studied at 25°C by using a synthetic method based on conductivity measurements. Three isoplethic sections has been established at 25°C and the stable solid phases which appear are: NH4NO3 (IV), Zn(NO3)2,6H2O, Cu(NO3)2,3H2O and metastable Cu(NO3),2.5H2O. Neither double salts, nor mixed crystals are observed at these temperature and composition range

Stakeholder-driven multi-attribute analysis for energy project selection under uncertainty

In practice, selecting an energy project for development requires balancing criteria and competing stakeholder priorities to identify the best alternative. Energy source selection can be modeled as multi-criteria decision-maker problems to provide quantitative support to reconcile technical, economic, environmental, social, and political factors with respect to the stakeholders' interests. Decision making among these complex interactions should also account for the uncertainty present in the input data. In response, this work develops a stochastic decision analysis framework to evaluate alternatives by involving stakeholders to identify both quantitative and qualitative selection criteria and performance metrics which carry uncertainties. The developed framework is illustrated using a case study from Fairbanks, Alaska, where decision makers and residents must decide on a new source of energy for heating and electricity. We approach this problem in a five step methodology: (1) engaging experts (role players) to develop criteria of project performance; (2) collecting a range of quantitative and qualitative input information to determine the performance of each proposed solution according to the selected criteria; (3) performing a Monte-Carlo analysis to capture uncertainties given in the inputs; (4) applying multi-criteria decision-making, social choice (voting), and fallback bargaining methods to account for three different levels of cooperation among the stakeholders; and (5) computing an aggregate performance index (API) score for each alternative based on its performance across criteria and cooperation levels. API scores communicate relative performance between alternatives. In this way, our methodology maps uncertainty from the input data to reflect risk in the decision and incorporates varying degrees of cooperation into the analysis to identify an optimal and practical alternative