Papers by Keyword: Mapping

Abstract: Flooding in the Latuppa Watershed almost always occurs when the rainy season arrives which is influenced by various factors. Starting from quite high rainfall, soil type, land use, to topographic conditions, slope, and river flow density. This study aims to determine the distribution zone of potential flood hazards at the research location using a Geographic Information System (GIS). The method used is Multi-Criteria Evaluation (MCE) analysis which combines Flood Hazard Index (FHI) related to GIS environment. This study also uses Analytical Hierarchy Process (AHP) in determining the weight of each flood parameter. Research data in the form of secondary data was taken through Indonesia Geospatial Data Portal of the Geospatial Information Agency and Watershed Management Information System data of the Ministry of Environment and Forestry. The results of the study were in the form of a flood hazard map showing the distribution of potential flood locations. The location of high flood hazard occurs in almost all downstream parts of the Latuppa atershed which covers most of Wara Timur, Wara Selatan, Wara, Sendana and Mungkajang Districts with an area of 1847.31 ha (27.06%) with Ammasangan, Dangerakko and Lagaligo Districts dominating the most. Then, moderate vulnerability is evenly distributed in all urban villages with an area of 3199.54 ha (46.87%) and the low-level vulnerability class category has a distribution of 1779.23 ha (26.07%) which is dominated by forest land use. The results of this study are expected to be a reference in future research, and can be a literature study to take policies related to flood management in the Latuppa Watershed.

Abstract: Most of the needs for orthopedic implants in Indonesia are met by the imported product. So that innovation is needed to produce local products that suit the needs of the Indonesian people. The first step before innovating is the need analysis. It is necessary to map and forecast certain implant products to understand which products that are important to be developed before they become a national innovation. In addition, there has not been an article yet that reported data regarding implant product and their forecasting. The main objective of this research is to capture the actual demand product by mapping and forecasting the orthopedic implants in a public hospital. The mapping process was carried out using the descriptive analysis method to organize and summarize the data to get more information about the orthopedic implants that were widely used. In addition, the mapping process is also carried out using the double moving average method to see the trend of demand for orthopedic implants in the future. The data used in this research was the number of orthopedic implants used by the Margono hospital for five years starting from 2016 to 2020. Based on the collected data, forty-two varieties of orthopedic implants had been mapped regarding implant demand. Furthermore, twenty-two of forty-two implants had been analyzed based on several applications that always appeared within five years. This research type of implant is classified into five categories which are screw, plate, wire, rod, and prosthesis. It is found that cortical screw, straight plate, K wire, rod union, and bipolar cemented were noted as the highest demand implant represent their category. The demand forecasting process is carried out for cortical screw, K wire, and rod union. By using the double moving average method and MAPE for measuring the accuracy, it was found that the method has a significant result because the MAPE value is still quite good. The value of MAPE for cortical screw, K wire, and rod union are 0.3985, 1.0726, and 0.4332, respectively. The trend of increasing demand occurs in the product cortical screw and rod union. This data could perform as the recommendation and references leading to the research road map, especially in the orthopedic research field in Indonesia.

Abstract: In material science, there is an increased demand for mapping of microstructural components and their composition. EPMA (Electron Probe Micro Analysis) with WDS (Wavelength Dispersive Spectrometry) is known as having high spectral resolution and sensitivity, but in practice considered to be slow in mapping applications. The present work describes a development of EPMA including design of both instrumental hardware and software related to electronics and calibration.

Abstract: Web service based information integration scenario can achieve the functional integration of heterogeneous platforms. However, the information sharing also requires the integration of Web services data. Based on the analysis of the characteristics of XML, this paper studies the web service data quadratic processing of heterogeneous platform. It realizes the data integration based on the functional integration of heterogeneous platforms. All the data of web services are defined and described by XML Schema. So this study uses XML data binding technology to achieve the conversion of XML Schema data to relational database content objects. Then XML mapping technology is adapted to achieve the mapping of the database content object on the local specific database table. Local system can achieve the quadratic web service data processing based on the database table’s normal operation. Some applications are described to validate.

Abstract: There are situations like collapsed buildings or inaccessible indoor spaces for humans, when ground robots may be of the most value. Small robots will likely to get into voids and go deeper than the 18-20 feet that a camera on a probe or a borescope can go into. The ground robots would be used to try to understand the internal layout of the structure and to avoid a secondary collapse, for example. In this paper are presented some results on the attempt to create a low cost mapping and guiding system suitable for small robots based on low cost LIDAR (LIght Detection And Ranging) devices. The aim was to create the mapping and guiding system minimizing the costs and maximizing the performances and capabilities.

Abstract: Land use changes are a key driver in global environmental changes and had a significant impact on the climate at all scales. Various human activities that took place thousands of years ago have an impact on the earth's surface. Today, with the limited supply and high demand, land use crisis became a big issue for the most countries. Changes in land use are not actually only providing a history of the area, but it also describes the way of life of its local communities. In the interdisciplinary research for land use study, cultural values, knowledge and perceptions of knowledge has been recognized as a major factor in determining the adopted approach applied in land use management in that area. Therefore, this paper tries to evaluate the role and potential of the integration of TLEK and GIS in mapping the series of changes in land use.Keyword: Local knowledge, TLEK, land use mapping & conceptual framework

Abstract: A finite element model for failure prediction has been used for axial compression simulation of a front side member beam with tailored material properties. A corresponding experiment has been performed. The numerical simulation is divided into forming, mapping and axial compression. The coupled thermo-mechanical hot stamping simulation includes an austenite decomposition model that accounts for carbon segregation. In the mapping step, the phase composition is first mapped and then translated into global stress-strain curves and failure parameters using two different models. An elastic-viscoplastic material model including mesh size dependent localization and crack initiation with a ductile and shear fracture model is used in the axial compression simulation. The simulation shows acceptable agreement with the experimental results.

Abstract: Aiming at the bad performance when achieve rich colors of fabric with very limited yarns in the traditional woven industry, the paper comes up with a solution of selecting yarn from a set of yarns based on SAGA(simulated annealing genetic algorithm). In order to reduce the computational complexity, original image is compressed based on clustering algorithm. And the original yarns is divided into four regions based on color separation algorithm to narrow the feasible area. The result of experiments show that image compression and yarns division can greatly improve the speed of SAGA, and SAGA can effectively converges to global optimal solution.

Abstract: The article analyzed the shortage of P_schema, and brought forward an improved method P_schema++,.Nesting structure.multi_citing element, alternative element was picked up to format a new type, and then to a relation table. P_Schema++ provided a method for storage of Complex XML document in RDB.

Abstract: This paper establishes a mapping relationship from independent binary variables to QAM symbols. By these proposed mappings square QAM constellation can be produced by binary signals rather than quaternary signals, which is advantageous to operation of those apparatuses driven only by binary signals. As one of applications of these presented mappings, we give an example to verify improvement of upper bounds of peak envelope power in an OFDM communication system employing QAM complementary sequences.