Journal articles on the topic 'District Information Modelling'
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Sung-Ryong, Ha, and Lee Kwang-Ho. "Mathematical modelling of long-term runoff load from rural watersheds." Water Science and Technology 31, no. 9 (May 1, 1995): 37–46. http://dx.doi.org/10.2166/wst.1995.0342.
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This study aims to develop a quantitative model for calculating the long-term run off loads in reservoir watersheds. By employing geologically based information rather than administrative-district based information and integrating more diverse variables like socio-economic, technological, and natural ones, a more comprehensive model (BlongRM) is developed. The major structure of the model BlongRM consists of a pollutant load calculating stage for each administrative district in which original pollution is generated and washed off, a pollutants load calculation stage for each watershed, and a runoff load calculation stage based on the linear contribution rate matrix. The applicability of the model to practical problem-solving has improved and its usefulness is verified by empirical data. This model will hopely contribute to the development of a lake pollution prevention strategy.
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Harist, Muhammad Chaidir, Humam A. Afif, Dian Nurahandayani Putri, and Iqbal Putut Ash Shidiq. "GIS modelling based on slope and morphology for landslide potential area in Wonosobo, Central Java." MATEC Web of Conferences 229 (2018): 03004. http://dx.doi.org/10.1051/matecconf/201822903004.
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National Agency for Disaster Management (BNPB) noted since early 2017 to December 4th, 2017 recorded as many as 577 incidents of landslides throughout Indonesia. Based on Indonesia Disaster Information Data (DIBI) within 2017 until now in Wonosobo District there are 9 landslide events and one of them is in Wadaslintang Sub-District where causing fatalities and material loss. Many factors can cause landslides such as rainfall, slope, geological soil type and vegetation density, which is slopes are a major factor in some landslide disaster cases. Therefore, to anticipate the loss of both casualties and material losses more in Wonosobo Regency, it is necessary to conduct a study in order to obtain landslide potential areas. The model applied to determine landslide potential areas is the SMORPH model approach by implementing slope morphology and angle/gradient of the slopes using Geographic Information System (GIS). From the results of data processing found that the area of landslide potential with the highest grade in Wonosobo district of 17% area, and for sub-district and the sub-district with the highest potential landslide is Wadaslintang with the percentage of 13.85% area. Landslides can affect a variety of land uses, and the most widely affected is a plantation with 87,07 Km2
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Rambu Ngana, Frederika, and A. A. I. N. Eka Karyawati. "Scenario modelling as planning evidence to improve access to emergency obstetric care in eastern Indonesia." PLOS ONE 16, no. 6 (June 9, 2021): e0251869. http://dx.doi.org/10.1371/journal.pone.0251869.
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The rate of maternal deaths in remote areas in eastern Indonesia–where geographic conditions are difficult and the standard of infrastructure is poor–is high. Long travel times needed to reach emergency obstetric care (EMOC) is one cause of maternal death. District governments in eastern Indonesia need effective planning to improve access to EMOC. The aim of this study was to develop a scenario modelling tool to be used in planning to improve access to EMOC in eastern Indonesia. The scenario model was developed using the geographic information system tool in NetLogo. This model has two inputs: the location of the EMOC facility (PONED) and the travel cost of moving across geographical features in the rainy and dry seasons. We added a cost-benefit analysis to the model: cost is the budget for building the infrastructure; benefit is the number of people who can travel to the EMOC in less than 1 hour if the planned infrastructure is built. We introduced the tool to representative midwives from all districts of Nusa Tenggara Timur province and to staff of Kupang district planning agency. We found that the tool can model accessibility to EMOC based on weather conditions; compare alternative infrastructure planning scenarios based on cost-benefit analysis; enable users to identify and mark poor infrastructure; and model travel across the ocean. Lay people can easily use the tool through interactive scenario modelling: midwives can use it for evidence to support planning proposals to improve access to EMOC in their district; district planning agencies can use it to choose the best plan to improve access to EMOC. Scenario modelling has potential for use in evidence-based planning to improve access to EMOC in low-income and lower-middle-income countries with poor infrastructure, difficult geography conditions, limited budgets and lack of trained personnel.
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Baik, A., A. Alitany, J. Boehm, and S. Robson. "Jeddah Historical Building Information Modelling "JHBIM" – Object Library." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-5 (May 28, 2014): 41–47. http://dx.doi.org/10.5194/isprsannals-ii-5-41-2014.
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The theory of using Building Information Modelling "BIM" has been used in several Heritage places in the worldwide, in the case of conserving, documenting, managing, and creating full engineering drawings and information. However, one of the most serious issues that facing many experts in order to use the Historical Building Information Modelling "HBIM", is creating the complicated architectural elements of these Historical buildings. In fact, many of these outstanding architectural elements have been designed and created in the site to fit the exact location. Similarly, this issue has been faced the experts in Old Jeddah in order to use the BIM method for Old Jeddah historical Building. Moreover, The Saudi Arabian City has a long history as it contains large number of historic houses and buildings that were built since the 16th century. Furthermore, the BIM model of the historical building in Old Jeddah always take a lot of time, due to the unique of Hijazi architectural elements and no such elements library, which have been took a lot of time to be modelled. This paper will focus on building the Hijazi architectural elements library based on laser scanner and image survey data. This solution will reduce the time to complete the HBIM model and offering in depth and rich digital architectural elements library to be used in any heritage projects in Al-Balad district, Jeddah City.
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Hidayat, Dina Paramitha Anggraeni, and Yuddi Yudistira. "MODELLING OF DOMESTIC WATER DEMAND USING SPATIAL DATA POPULATION FOR CISADANE UPSTREAM WATERSHED." INDONESIAN JOURNAL OF CONSTRUCTION ENGINEERING AND SUSTAINABLE DEVELOPMENT (CESD) 1, no. 1 (September 15, 2018): 16. http://dx.doi.org/10.25105/cesd.v1i1.3240.
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<p><em>In Indonesia, water resources management planning has done based on river area. But the problem is the calculation still based on population data with administrative boundary. This is caused by the lack of population data with watershed or river area boundary. Geographical Information System (GIS) is a tools to analyze, visualize and interpret data with spatial and geographic data. For this research, GIS is used to generate population data with watershed and river area boundary,then the result will used for domestic water demand calculation for Cisadane upstream watershed. For all district in Cisadane Upstream Watershed, the largest district in entire watershed are Cibungbulang, Leuwiliang and Nanggung. But the most dense population are Ciomas, Ciampea and Cibungbulang. The calculation using watershed boundary resulting significant difference from district boundary. With spatial data population using watershed boundary, domestic water demand calculation result can be more accurate than using all district population data. </em></p>
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Ledashcheva, Tatiana, and Vladimir Pinaev. "Cognitive analysis of the socio-ecological and economic system of the region for choosing a sustainable development strategy (on the example of oil-producing regions of Russia)." E3S Web of Conferences 169 (2020): 02020. http://dx.doi.org/10.1051/e3sconf/202016902020.
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To correspond with Strategy of Russian regional development and sustainable development aims, in the article we propose to base strategy development on the results of modelling and analysis of socioenvironmental-economic region systems in the form of oriented graphs. Authors developed model for oil exploring regions Urals Federal district, based on open source data and lacking information is identified, as well as types and ways of it’s gathering for completion of the modelling process.
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Sudaryatno, Sudaryatno, Shafiera Rosa El-Yasha, and Zulfa Nur'aini 'Afifah. "Thematic Geovisualization of the Data Profile of Kaligesing, Purworejo, Central Java." Forum Geografi 33, no. 2 (December 27, 2019): 153–61. http://dx.doi.org/10.23917/forgeo.v33i2.8876.
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The scientific field has a variety of purposes, one of which is the presentation of data and information which can be used by other parties to support their decision making. Moreover, the information is presented spatially. This research aims to map the data profile of Kaligesing district to establish the region’s potential through thematic geovisualization of its data profile, such as slopes, land use, livelihoods and population. The primary data were obtained from visual interpretation of remote sensing images to extract land use information, and DEM processing to extract slope information. Secondary data were provided by the Kaligesing district government. In order to build tiered spatial modelling, each thematic map was classified and weighted according to its contribution to the potential of the region. Based on this modelling, each village was given a compilation of weights, which were used as a basis for regional potential analysis. From the results of the thematic mapping, Kaligesing has three villages that have the potential for development in the agricultural, trade and service sectors, supported by the potential of human resources, and the abundant non-residential land available.
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Ganderton, P. "Modelling the Land Conversion Process: A Realist Perspective." Environment and Planning A: Economy and Space 26, no. 5 (May 1994): 803–19. http://dx.doi.org/10.1068/a260803.
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Land conversion is a difficult issue to resolve at either a theoretical or a practical level. By virtue of the range and diversity of information there are problems in synthesising data to obtain accurate models. It is argued that as a result many models of the conversion process are partial. With data obtained from studies in Basingstoke and Deane District, Hampshire, a new model, based on realist perspectives such as those of Lévi-Strauss, is proposed. It is argued that such a perspective offers a more accurate insight into land conversion.
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Ssebyatika, Elly, and Richard O. Awichi. "Modelling Academic Performance Using Attributes of Education Maturity with Multi-Level Composite Indicators: A Case of Wakiso District (Uganda) Primary Schools." East African Journal of Education Studies 2, no. 1 (October 13, 2020): 129–40. http://dx.doi.org/10.37284/eajes.2.1.222.
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The major purpose of the study was to model the effect of education maturity on academic performance in primary schools in Wakiso district using multi-level composite indicators. Specifically, the study sought out to establish the extent to which supervision of teaching affects the academic performance of primary schools in Wakiso district; how teaching and learning resources affect the academic performance of primary schools in the district; how continuous school assessment affects the academic performance of primary schools in the district and how classroom environment affects the academic performance of primary schools in the district. The study employed a case study design together with methodological triangulation so as to minimize the challenges of using a single approach. The study used a census of primary schools. However, of the 350 schools, 218 provided all the required information on the study objectives. The main tools of data collection were document review and observation guide for the selected primary schools. The inferential analyses showed that at a 1% significance level, the use of resources and classroom environment significantly affected the academic performance of pupils in Wakiso district for the period under study. Secondly, teaching and learning resources significantly affected the academic performance of pupils in the district. Thirdly, at a 5% level, assessment, recording and reporting significantly affected the academic performance of pupils in the district and lastly, supervision of teaching and learning significantly affected the academic performance of pupils. The study recommends that modelling academic performance using attributes of education maturity yields very significant information that helps greatly in making decisions on school performance and this should be encouraged and upscaled by the line ministry of education.
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Tiro, M. A., A. Aswi, and Z. Rais. "Association of Population Density and Distance to the City with the Risks of COVID-19: A Bayesian Spatial Analysis." Journal of Physics: Conference Series 2123, no. 1 (November 1, 2021): 012001. http://dx.doi.org/10.1088/1742-6596/2123/1/012001.
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Abstract The outbreak of Coronavirus disease-2019 (Covid-19) poses a severe threat around the world. Although several studies of modelling Covid-19 cases have been done, there appears to have been limited research into modelling Covid-19 using Bayesian hierarchical spatial models. This study aims to examine the most suitable Bayesian spatial CAR Leroux models in modelling the number of confirmed Covid-19 cases without and with covariates namely distance to the capital city and population density. Data on the number of confirmed positive cases of Covid-19 (March 20, 2020 - August 30, 2021) in 15 sub-districts in Makassar City, the number of populations, population density, and distance to the city are used. The best model selection is based on several criteria, namely Deviance Information Criteria (DIC), Watanabe Akaike Information Criteria (WAIC), residuals from Moran’s I Modification (MMI), and the 95% credible interval does not contain zero. The results showed that the best model in modelling Covid-19 is spatial CAR Leroux with hyperprior Inverse-Gamma (0.5, 0.05) model with the incorporation of distance to the capital city. It is found that there was a negative correlation between the distance to the capital city and Covid-19 risk, but the association between population density and the relative risk of Covid-19 was not statistically significant. Ujung Pandang district and Sangkarrang Island have the highest and the lowest relative risk respectively.
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Cao, Xilun, Ying Zhang, and Cheng Luo. "The Application of Building Information Modelling in Landscape Design for Ecological Protection." E3S Web of Conferences 283 (2021): 02042. http://dx.doi.org/10.1051/e3sconf/202128302042.
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Over the last decade, the widely use of Building Information Modelling (BIM) has significantly improved the efficiency of architectural, engineering, and construction (AEC) industry in China. Many studies have been dedicated to how BIM could help in construction works. However, due to lack of BIM application in landscape filed, limited researches could be found on how many excessive works could be prevented by BIM and its ecological value in protecting local environment, especially for those hillside areas with relatively vulnerable ecosystem, which covers over two thirds of the land in China. This paper aims to set up a BIM-based landscape design workflow and examine its effectiveness in reducing construction waste produced in design process. One project case of hillside residential district planning design was carried out by applying the established BIM workflow, showing that earthworks were reduced significantly, and the final net cut/fill volume was controlled at 32.45m3 after project completion. Minimizing earthworks prevents the local topsoil and vegetation from been destroyed by unnecessary constructions. Utilizing BIM in landscape design enables the architects to pursue a more ecological and integrated design solution, paying more attention to the relationship between human beings and nature.
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Menapace, Andrea, Simone Santopietro, Rudy Gargano, and Maurizio Righetti. "Stochastic Generation of District Heat Load." Energies 14, no. 17 (August 27, 2021): 5344. http://dx.doi.org/10.3390/en14175344.
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Modelling heat load is a crucial challenge for the proper management of heat production and distribution. Several studies have tackled this issue at building and urban levels, however, the current scale of interest is shifting to the district level due to the new paradigm of the smart system. This study presents a stochastic procedure to model district heat load with a different number of buildings aggregation. The proposed method is based on a superimposition approach by analysing the seasonal component using a linear regression model on the outdoor temperature and the intra-daily component through a bi-parametric distribution of different times of the day. Moreover, an empirical relationship, that estimates the demand variation given the average demand together with a user aggregation coefficient, is proposed. To assess the effectiveness of the proposed methodology, the study of a group of residential users connected to the district heating system of Bozen-Bolzano is carried out. In addition, an application on a three-day prevision shows the suitability of this approach. The final purpose is to provide a flexible tool for district heat load characterisation and prevision based on a sample of time series data and summary information about the buildings belonging to the analysed district.
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Kumar, Devendra, Arvind Dhaloiya, Ajeet Singh Nain, Mahendra Paal Sharma, and Amandeep Singh. "Prioritization of Watershed Using Remote Sensing and Geographic Information System." Sustainability 13, no. 16 (August 23, 2021): 9456. http://dx.doi.org/10.3390/su13169456.
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Soil erosion is becoming a major concern at the watershed scale for the environment, natural resources, and sustainable resource management. Therefore, the estimation of soil loss through this phenomenon and the identification of critical soil erosion-prone areas are considered to be key tasks in the soil conservation programme for the design and implementation of best management practices for specific regions or areas. In the present study, revised universal soil loss equation (RUSLE) modelling is combined with remote sensing (RS) and geographical information system (GIS) techniques and used to predict soil erosion and the prioritization of watersheds in Nainital district Uttarakhand, India. For the estimation of soil loss, different factors, namely, rainfall-runoff erosivity (R) factor, soil erodability (K) factor, slope length steepness (LS) factor, cover management (C) factor, and the erosion control practices (P) factor were computed. The data on various other aspects such as land use/land cover (LU/LC), the digital elevation model (DEM), slope, contours, drainage network, soil texture, organic matter, and rainfall were integrated to prepare a database for the RUSLE equation by employing ENVI & QGIS software. The results showed that a major portion (70.26%) of Nainital district is covered with forest, followed by area under fallow and agricultural land. Annual average soil loss ranged between 20 to 80 t ha−1 yr−1 in the study area. Out of 50 watersheds in the study area, 7 watersheds were given top priority for conserving natural resources, while 11 watersheds, mostly in the east-central part of Nainital, were kept under the next priority category. Only 4 watersheds of the total were given lowest priority. Moreover, it was concluded that major portions of Nainital district were in a severely prone category of soil erosion, and therefore required immediate action plans to check soil erosion and evade the possibility of landslides.
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Calixto, Selva, Marco Cozzini, and Giampaolo Manzolini. "Modelling of an Existing Neutral Temperature District Heating Network: Detailed and Approximate Approaches." Energies 14, no. 2 (January 12, 2021): 379. http://dx.doi.org/10.3390/en14020379.
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This paper deals with the modelling of an existing neutral-temperature district heating network, meaning that the distribution temperature is close to the ambient temperature, with decentralised heat pumps. The considered case is located in Ospitaletto, Italy. Heat sources are given by industrial waste heat at about 25 °C and aquifer wells at about 15 °C. Two models are used to analyse the network: a detailed model able to calculate local values of operating parameters and an approximate model focused on energy balances aggregating all users with a lumped demand. Both models include the behaviour of heat pumps, a feature not available in other district heating modelling tools. An entire year of operation is considered, with an hourly time resolution. Load profiles are provided as inputs, while the main outputs consist of energy balances and primary energy consumptions. The corresponding results are compared, showing a reasonable agreement, where the approximate model underestimates the overall electricity consumptions by about 15% with respect to the detailed model. On the other hand, the different information levels and execution times (the detailed model requires about 30 min to solve the considered network for a full year with hourly time steps, while the approximate model is almost immediate) make the two models suitable for different purposes, like the simulation of control solutions for the detailed one and scenario analysis for the other.
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Murshed, Syed Monjur, Solène Picard, and Andreas Koch. "Modelling, Validation and Quantification of Climate and Other Sensitivities of Building Energy Model on 3D City Models." ISPRS International Journal of Geo-Information 7, no. 11 (November 15, 2018): 447. http://dx.doi.org/10.3390/ijgi7110447.
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New planning tools are required to depict the complete building stock in a city and investigate detailed measures on reaching local and global targets to improve energy efficiency and reduce greenhouse gas emissions. To pursue this objective, ISO (the International Organization for Standardization) 13790:2008 monthly heating and cooling energy calculation method is implemented using geometric information from 3D city models (e.g., CityGML format) in an open source software architecture. A model is developed and applied in several urban districts with different number of 3D buildings in various cities. The model is validated with the simulation software TRNSYS. We also perform a sensitivity analysis to quantify the impact of climate change and other physical and behavioral factors on modelling results. The proposed approach can help to perform city or district-wide analysis of the building energy needs and prepare different renovation plans to support decision-making, which finally will enhance the livability of a city and the quality of life of the citizens.
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Firdarini, Khoirunnisa Cahya. "PENGARUH PENGALAMAN USAHA DAN PENGGUNAAN INFORMASI AKUNTANSI PELAKU USAHA MIKRO KECIL MENENGAH TERHADAP KEBERHASILAN USAHA." Jurnal Riset Manajemen Sekolah Tinggi Ilmu Ekonomi Widya Wiwaha Program Magister Manajemen 6, no. 1 (March 4, 2020): 25–37. http://dx.doi.org/10.32477/jrm.v6i1.29.
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Accounting information has an important role to achieve business success, as well as for small businesses.This research examines the effect of businessexperience and accounting information system used toward business success with age of business as control variable. The population of this research aresmall and medium enterprises (SMEs) in creative industries sector operated in Yogyakarta district. Based on purposive sampling method, total sample ofthis research is 200 SMEs. Statistical tool utilized to test the hypothesis in this study is path analysis using structural equation modelling (SEM). The test resultshows that business experience and accounting information have positive and significant effect to the success of SMEs.
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Firdarini, Khoirunnisa Cahya. "Pengaruh Pengalaman Usaha Dan Penggunaan Informasi Akuntansi Pelaku Usaha Mikro Kecil Menengah Terhadap Keberhasilan Usaha." Jurnal Riset Manajemen Sekolah Tinggi Ilmu Ekonomi Widya Wiwaha Program Magister Manajemen 6, no. 1 (May 7, 2019): 27–39. http://dx.doi.org/10.32477/jrm.v6i1.333.
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Accounting information has an important role to achieve business success, as well as for small businesses.This research examines the effect of business experience and accounting information system used toward business success with age of business as control variable. The population of this research are small and medium enterprises (SMEs) in creative industries sector operated in Yogyakarta district. Based on purposive sampling method, total sample of this research is 200 SMEs. Statistical tool utilized to test the hypothesis in this study is path analysis using structural equation modelling (SEM). The test result shows that business experience and accounting information have positive and significant effect to the success of SMEs.
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Setiadi, Ade, Sulaiman Sulaiman, and Fifit Alfiah. "Disaster Victim Service Application at the Social Services of Tangerang District." CCIT Journal 15, no. 2 (August 4, 2022): 179–90. http://dx.doi.org/10.33050/ccit.v15i2.2119.
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The social service of Tangerang District is a government institution that caters to the social welfare problem and one of the services that will be discussed is the service of disaster victims in the district of Tangerang that have not been computerised so that the running system is less efficient. The process of service that is still having difficulty due to the collection of disaster victims is still far from the word accurate and to get the service should often visit the office so it takes a lot of wasted time. Since the system is running less efficiently, a Disaster Victim Service Application has been made which is computerized and runs more efficiently. The method used in data collection is observation, interviews, and literature study. In analyzing a system using the PIECES method (Performance), (Information), (Economy), (Control), (Efficiency), (Service) to make it easier to analyze the running system and provide solutions in making application programs and writers in making application design with visual modelling using UML (Unified Modelling Language) to make a diagram, Hypertext Preprocessor (PHP) as a programming language, and MySQL as a database to be used in the system. The results of the design discuss how to create a system that runs and the proposed system and the existence of this system can facilitate service employees in receiving accurate reports so as to shorten the time of handling in serving victims affected by disasters.
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Kumar, S., R. N. Kulloli, J. C. Tewari, J. P. Singh, and A. Singh. "Ecological Niche Modelling using satellite data for assessing distribution of threatened species Ceropegia bulbosa Roxb." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-8 (November 28, 2014): 597–603. http://dx.doi.org/10.5194/isprsarchives-xl-8-597-2014.
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<i>Ceropegia bulbosa</i> Roxb. is a narrow endemic, tuberous twiner of Asclepiadaceae family. It is medicinally important: tubers are nutritive and edible, leaves are digestive and a cure for dysentery and diarrhea. Exploitation for its tubers and poor regeneration of this species has shrunk its distribution. In order to know its present status, we report here the results of its appraisal in Rajasthan, using remote sensing and ground truthing in the past five years (2009–14). A base map of <i>C. bulbosa</i> was prepared using Geographical Information System (GIS), open source software Quantum GIS, SAGA. The Landsat Enhanced Thematic Mapper (ETM) +Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), Global Digital Elevation Model (GDEM) Satellite Data were used in this study. ASTER and GDEM Data was clipped with district boundary and provided color range to get elevation information. A digital elevation model of Rajasthan physiography was developed from ASTER GDEM of 30-m resolution. GIS layers of Area of occurrences for <i>C. bulbosa</i> plant and elevation were created. This map along with topographic sheets of 1:50000 were used for field traversing and ground truthing as per GPS location inferred from map. Its geographic distribution was assessed using MaxEnt distribution modelling algorithm that employed 12 presence locality data, 19 bioclimatic variables, and elevation data. Results of this modelling predicted occurrence of <i>C. bulbosa</i> in the districts of Sirohi, Jalore, Barmer, Pali, Ajmer, Jhalawar, Dungarpur, Banswara, Baran, Kota, Bundi and Chittorgarh. Ground validation in these districts revealed its presence only at four places in three districts confirming its rarity. Analysis of dominance at their sites of occurrence revealed their poor populations and sub dominant status (RIV = 20–32) and very low density (2–12 plants per tenth ha).
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Guha, Saurav, and Hukum Chandra. "Measuring and Mapping Micro Level Earning Inequality towards Addressing the Sustainable Development Goals – A Multivariate Small Area Modelling Approach." Journal of Official Statistics 38, no. 3 (September 1, 2022): 823–45. http://dx.doi.org/10.2478/jos-2022-0036.
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Abstract The earning inequality in India has unfavorably obstructed underprivileged in accessing elementary needs like health and education. Periodic labour force survey conducted by National Statistical Office of India generates estimates on earning status at national and state level for both rural and urban sectors separately. However, due to small sample size problem, these surveys cannot generate reliable estimates at micro-level viz. district or block. Thus, owing to unavailability of district-level estimates, analysis of earning inequality is restricted to the national and the state level. Therefore, the existing variability in disaggregate-level earning distribution often goes unnoticed. This article describes multivariate small area estimation method to generate precise and representative district-wise estimate of earning distribution in rural and urban areas of the Indian State of Bihar by linking Periodic labour force survey data of 2018–2019 and 2011 Population Census data of India. These disaggregate-level estimates and spatial mapping of earning distribution are essential for measuring and monitoring the goal of reduced inequalities related to the sustainable development of 2030 agenda. They expected to offer insightful information to decision-makers and policy experts for identifying the areas demanding more attention.
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Henning, Dag, Shahnaz Amiri, and Kristina Holmgren. "Modelling and optimisation of electricity, steam and district heating production for a local Swedish utility." European Journal of Operational Research 175, no. 2 (December 2006): 1224–47. http://dx.doi.org/10.1016/j.ejor.2005.06.026.
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Rotejanaprasert, Chawarat, Duncan Lee, Nattwut Ekapirat, Prayuth Sudathip, and Richard J. Maude. "Spatiotemporal distributed lag modelling of multiple Plasmodium species in a malaria elimination setting." Statistical Methods in Medical Research 30, no. 1 (January 2021): 22–34. http://dx.doi.org/10.1177/0962280220938977.
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In much of the Greater Mekong Sub-region, malaria is now confined to patches and small foci of transmission. Malaria transmission is seasonal with the spatiotemporal patterns being associated with variation in environmental and climatic factors. However, the possible effect at different lag periods between meteorological variables and clinical malaria has not been well studied in the region. Thus, in this study we developed distributed lagged modelling accounting for spatiotemporal excessive zero cases in a malaria elimination setting. A multivariate framework was also extended to incorporate multiple data streams and investigate the spatiotemporal patterns from multiple parasite species via their lagged association with climatic variables. A simulation study was conducted to examine robustness of the methodology and a case study is provided of weekly data of clinical malaria cases at sub-district level in Thailand.
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Tomlinson, Sean, Andy South, and Joshua Longbottom. "Malaria Data by District: An open-source web application for increasing access to malaria information." Wellcome Open Research 4 (October 9, 2019): 151. http://dx.doi.org/10.12688/wellcomeopenres.15495.1.
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Preventable diseases still cause huge mortality in low- and middle-income countries. Research in spatial epidemiology and earth observation is helping academics to understand and prioritise how mortality could be reduced and generates spatial data that are used at a global and national level, to inform disease control policy. These data could also inform operational decision making at a more local level, for example to help officials target efforts at a local/regional level. To be usable for local decision-making, data needs to be presented in a way that is relevant to and understandable by local decision makers. We demonstrate an approach and prototype web application to make spatial outputs from disease modelling more useful for local decision making. Key to our approach is: (1) we focus on a handful of important data layers to maintain simplicity; (2) data are summarised at scales relevant to decision making (administrative units); (3) the application has the ability to rank and compare administrative units; (4) open-source code that can be modified and re-used by others, to target specific user-needs. Our prototype application allows visualisation of a handful of key layers from the Malaria Atlas Project. Data can be summarised by administrative unit for any malaria endemic African country, ranked and compared; e.g. to answer questions such as, ‘does the district with the highest malaria prevalence also have the lowest coverage of insecticide treated nets?’. The application is developed in R and the code is open-source. It would be relatively easy for others to change the source code to incorporate different data layers, administrative boundaries or other data visualisations. We suggest such open-source web application development can facilitate the use of data for public health decision making in low resource settings.
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Tomlinson, Sean, Andy South, and Joshua Longbottom. "Malaria Data by District: An open-source web application for increasing access to malaria information." Wellcome Open Research 4 (December 2, 2019): 151. http://dx.doi.org/10.12688/wellcomeopenres.15495.2.
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Preventable diseases still cause huge mortality in low- and middle-income countries. Research in spatial epidemiology and earth observation is helping academics to understand and prioritise how mortality could be reduced and generates spatial data that are used at a global and national level, to inform disease control policy. These data could also inform operational decision making at a more local level, for example to help officials target efforts at a local/regional level. To be usable for local decision-making, data needs to be presented in a way that is relevant to and understandable by local decision makers. We demonstrate an approach and prototype web application to make spatial outputs from disease modelling more useful for local decision making. Key to our approach is: (1) we focus on a handful of important data layers to maintain simplicity; (2) data are summarised at scales relevant to decision making (administrative units); (3) the application has the ability to rank and compare administrative units; (4) open-source code that can be modified and re-used by others, to target specific user-needs. Our prototype application allows visualisation of a handful of key layers from the Malaria Atlas Project. Data can be summarised by administrative unit for any malaria endemic African country, ranked and compared; e.g. to answer questions such as, ‘does the district with the highest malaria prevalence also have the lowest coverage of insecticide treated nets?’. The application is developed in R and the code is open-source. It would be relatively easy for others to change the source code to incorporate different data layers, administrative boundaries or other data visualisations. We suggest such open-source web application development can facilitate the use of data for public health decision making in low resource settings.
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Salvadori, Luca, Davide Moccia, Laura Melis, Giulia Folegnani, Antonio Pusceddu, Alessandra Carucci, and Simone Ferrari. "Using the AQUATOX model to forecast water bodies quality status response to environmental perturbations." EPJ Web of Conferences 269 (2022): 01051. http://dx.doi.org/10.1051/epjconf/202226901051.
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In the last decades, the scientific community has developed many methods and approaches for the assessment of surface waters quality status and the relative impacts of anthropogenic pressures including, among the others, municipal and industrial wastewater treatment plants, agriculture, animal farming and many other land uses. According to the Water Framework Directive (WFD; 2000/60/EC), each EU Member State has been committed to identifying River Basin Districts, in which, ideally, every water body within European boundaries should have been included. As a contribution to the quality assessment of the Sardinian River Basin District, in the framework of the project “Hydraulic and environmental modelling for the gap analysis and the identification of programmes of measures aimed to satisfy the environmental quality objectives” funded by the Regione Sardegna, we applied a simplified version of the AQUATOX model, developed for investigating its feasibility and validity in case of missing or poor input data and information, on the river Cixerri case study.
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Urquizo, Javier, Carlos Calderón, and Philip James. "Making a Case for Local Combined Head and Power and District Heating Infrastructures within the United Kingdom Policy Landscape." E3S Web of Conferences 115 (2019): 02003. http://dx.doi.org/10.1051/e3sconf/201911502003.
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Planning energy infrastructure at the local level is the key to addressing some of the most difficult challenges in climate change and energy policy planning (i.e. fuel poverty) and to unlock the transformative potential of distributed energy technologies. The scientific field of urban energy and carbon modelling is becoming a fundamental instrument to estimate an energy and carbon baseline at a point in time and to quantify the impact that policy-driven technological interventions that could have on the overall carbon footprint of a city. This capability enables an evidence-based approach in which the economic case towards a low-carbon economy can be made. Transformative local distributed energy technologies such as CHP or district heating have a strong spatial component due to a need to identify synergies with adjacent properties or heating loads. Currently available domestic building energy models often do not take into account spatial information. Accessing geo-referenced data for energy modelling can also be particularly useful as validated outputs (i.e. heating and electricity loads, energy profiles) can be mapped using spatial modelling techniques that help to easily identify high and low energy consumption areas and potential synergies in local energy infrastructure planning. In Newcastle upon Tyne UK, the council is exploring the opportunities for the installation of renewable heat technologies on their own stock as a matter of urgency. Identification of potential sites and feasibility for technical and financial applicability within the UK policies will be addressed by this paper.
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Summerell, G. K., T. I. Dowling, D. P. Richardson, J. Walker, and B. Lees. "Modelling current parna distribution in a local area." Soil Research 38, no. 4 (2000): 867. http://dx.doi.org/10.1071/sr98100.
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Parna is a wind-blown clay, mobilised from inland Australia as the result of a series of intermittent high wind events during the Quaternary. Parna can be recognised on the basis of colour, texture, distributional patterns, and pedology. Parna deposits have been recorded across a wide area of south eastern Australia and have influenced the local pedology and hydrology. In some cases parna has increased soil sodicity and the potential for dryland salinisation. Predicting its spatial distribution is useful when considering agricultural potential and in assessing the risk and spatial spread of dryland salinity. Here we present the results of modelling to predict its local distribution in an area covering 291 km2 in the Young district of NSW. Two conceptual models of parna deposition and subsequent redistribution were used to develop a current parna distribution map: (a) deposition = f(topography, aspect) after assuming that interactions of rainfall, vegetation, and wind speed were relatively the same at the local scale; (b) removal or retention = f (slope angle, catchment size, slope length) as a representation of the erosive energy of gravity. Five landscape variables, elevation, aspect, slope, flow accumulation, and flow length, were derived from a 20 m digital elevation model (DEM). A training set of parna deposits was established using air photos and field survey from limited exposures in the Young district of NSW. These areas were digitised and converted to a grid of areas of parna and no-parna. This training set for parna and the 5 landscape variable grids were processed in the IDRISI for WINDOWS Geographic Information System (GIS). Spatial relationships between the parna and no-parna deposits and the 5 landscape variables were extracted from this training set. This information was imported into an inductive learning program called KnowledgeSEEKER. A decision tree was built by recursive partitioning of the data set using Chi-squares to categorise variables, and an F test for continuous variables to best replicate the training data classification of ‘parna’ and ‘no-parna’. The rules derived from this process were applied to the study area to predict the occurrence of parna in the broader landscape. Predictions were field checked and the rules adjusted until they best represented the occurrence of parna in the field. The final model showed predictions of parna deposits as follows: (i) higher elevations in the Young landscape were the dominant sites of parna deposits; (ii) thicker deposits of parna occurred on the windward south-west and north-west; (iii) thinner deposits occurred on the leeward side of a central ridge feature; (iv) because the training set concentrated around the major central ridge feature, poorer predictions were obtained on gently undulating country.
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Moustakidis, Serafeim, Ioannis Meintanis, Nicos Karkanias, George Halikias, Elise Saoutieff, Pierre Gasnier, Javier Ojer-Aranguren, et al. "Innovative Technologies for District Heating and Cooling: InDeal Project." Proceedings 5, no. 1 (February 15, 2019): 1. http://dx.doi.org/10.3390/proceedings2019005001.
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The paper discusses the outcomes of the conference organized by the InDeal project. The conference took place on 12 December 2018 in Montpellier as part of the EnerGaia energy forum 2018. A holistic interdisciplinary approach for district heating and cooling (DHC) networks is presented that integrates heterogeneous innovative technologies from various scientific sectors. The solution is based on a multi-layer control and modelling framework that has been designed to minimize the total plant production costs and optimize heating/cooling distribution. Artificial intelligence tools are employed to model uncertainties associated with weather and energy demand forecasts, as well as quantify the energy storage capacity. Smart metering devices are utilized to collect information about all the crucial heat substations’ parameters, whereas a web-based platform offers a unique user environment for network operators. Three new technologies have been further developed to improve the efficiency of pipe design of DHC systems: (i) A new sustainable insulation material for reducing heat losses, (ii) a new quick-fit joint for an easy installation, and (iii) a new coating for reducing pressure head losses. The results of a study on the development and optimization of two energy harvesting systems are also provided. The assessment of the environmental, economic and social impact of the proposed holistic approach is performed through a life cycle analysis. The validation methodology of the integrated solution is also described, whereas conclusions and future work are finally given.
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Baik, A. "FROM POINT CLOUD TO EXISTING BIM FOR MODELLING AND SIMULATION PURPOSES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-5/W2 (September 20, 2019): 15–19. http://dx.doi.org/10.5194/isprs-archives-xlii-5-w2-15-2019.
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<p><strong>Abstract.</strong> Many BIM experts agree that employing BIM for new construction is an easy task. However, applying BIM to existing construction will be difficult but is more suitable for heritage buildings cases. These heritage buildings have unique façades and architectural vocabulary, which are of special interest. Furthermore, studying these architecture heritages require some advanced tools in order to understand and analyse their structure, components, and design. Relying only on traditional methods is not adequate, especially for architectural engineers and experts who need digital representations of architectural heritage in order to draw a complete image of any aspect of the project. Moreover, lots of these heritage architectural elements are not documented or provided in the digital architectural libraries, which in turn requires advanced and easy access methods and tools that can extract basic information professionally and explain the essence of heritage. BIM has emerged as an efficient solution that could possibly help in analysing architectural heritage through effective learning processes. Existing BIM is characterised by their ability to create and operate within a digital database of any existing by 3-D laser through scanning the building and transforming it into point-cloud as digital data, so that engineers and experts can work on existing and buildings via the BIM software. As with many heritage buildings in the world, many of the heritage buildings in the Historic district of Jeddah city, Saudi Arabia, face serious issues in terms of conservation, restoration, documentation, managing, recording, and monitoring of these valuable heritage buildings. Therefore, this paper will examine and evaluate the use of BIM in modelling and for simulation purposes, (e.g. structure and energy simulation) with regard to one of the existing heritage buildings in the Historic district of Jeddah.</p>
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Kalinowska, Dominika, Paweł Wielgat, Tomasz Kolerski, and Piotr Zima. "Effect of GIS parameters on modelling runoff from river basin. The case study of catchment in the Puck District." E3S Web of Conferences 63 (2018): 00005. http://dx.doi.org/10.1051/e3sconf/20186300005.
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The study was preceded to check the impact of the adopted digital elevation model resolution on the determination of catchment parameters and the further influence of the received information on calculations related to the hydrograph at the closing point of the basin after a synthetic 100-year precipitation episode. The study area are river basins located in the Puck commune convoying water directly to the Puck Bay. These studies allowed the formulation of the basic assumptions for the research project (in short called WaterPuck) supported by the National Centre for Research and Development.
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Talukder, Ashis, Iqramul Haq, Mohammad Ali, and Jeffrey Drope. "Factors Associated with Cultivation of Tobacco in Bangladesh: A Multilevel Modelling Approach." International Journal of Environmental Research and Public Health 17, no. 12 (June 15, 2020): 4277. http://dx.doi.org/10.3390/ijerph17124277.
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An increasing number of studies provide evidence on the serious negative consequences of tobacco farming on economic livelihoods, human health and the environment. There is, however, only limited research on tobacco farming in Bangladesh, a significant producer of tobacco leaf. It is not yet well understood why many farmers choose to grow tobacco considering the challenging context. Accordingly, this study examines the factors that influence farmers’ decisions to grow tobacco in Bangladesh. Socio-demographic and economic information was collected from 220 tobacco farmers and 117 non-tobacco farmers from the major tobacco-growing district of Kushtia, for a total sample of 337. These farmers were recruited from two sub-districts (or upazilla—Daulatpur and Mirpur) using a stratified random sampling. A two-level logistic regression model was applied for the identification of the variables that condition farmers’ decisions to cultivate tobacco leaf. Almost two-thirds of the sampled farmers (65.3%) chose to farm tobacco. The results demonstrate that the following variables shape most farmers’ decisions to cultivate tobacco: older age, less education, tobacco firms’ short-term financial support of growing tobacco, greater ease of selling tobacco products at market, better access to credit (also provided by the tobacco companies), and farmer’s perception about higher profits from tobacco cultivation compared to other crops. This study strongly suggests that the government and others working on tobacco control should consider engaging in initiatives to increase farmers’ education, perhaps particularly for older farmers, and provide meaningful financial support in part by helping to increase access to credit and ensuring a better market facility to sell their other healthier agricultural crops, goods and services.
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Nuraini, Candra, Berli Prissy Imelda, Enok Sumarsih, and Abdul Mutolib. "Analisis Faktor-Faktor yang Berpengaruh terhadap Kemitraan Sapi Perah dengan Metode Structure Equation Modelling." Jurnal Ilmiah Membangun Desa dan Pertanian 6, no. 4 (November 19, 2021): 149. http://dx.doi.org/10.37149/jimdp.v6i5.20855.
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This research aims to determine the determinants that affect the partnership between dairy farmers and KSU Karya Nugraha. This research was carried out in Cigugur District, Kuningan Regency, West Java, which was determined purposively, the largest milk-producing cooperative in Kuningan Regency. Data collection was carried out from January to September 2020. The study used the dependent variable of partnership, and independent variables are communication, cooperation, trust, and commitment. The survey was conducted to collect information using questionnaires with the number of respondents 42 people selected at random. Data is processed by the SEM-PLS method. The results showed only one insignificant determinant of the partnership was cooperation. Communication, trust, and commitment have a significant effect on alliances. Research has also found that communication and responsibility have a significant influence on collaboration and trust
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Gautam, Ratnesh, and Anand K. Sinha. "Time series analysis of reference crop evapotranspiration for Bokaro District, Jharkhand, India." Journal of Water and Land Development 30, no. 1 (September 1, 2016): 51–56. http://dx.doi.org/10.1515/jwld-2016-0021.
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AbstractEvapotranspiration is the one of the major role playing element in water cycle. More accurate measurement and forecasting of Evapotranspiration would enable more efficient water resources management. This study, is therefore, particularly focused on evapotranspiration modelling and forecasting, since forecasting would provide better information for optimal water resources management. There are numerous techniques of evapotranspiration forecasting that include autoregressive (AR) and moving average (MA), autoregressive moving average (ARMA), autoregressive integrated moving average (ARIMA), Thomas Feiring, etc. Out of these models ARIMA model has been found to be more suitable for analysis and forecasting of hydrological events. Therefore, in this study ARIMA models have been used for forecasting of mean monthly reference crop evapotranspiration by stochastic analysis. The data series of 102 years i.e. 1224 months of Bokaro District were used for analysis and forecasting. Different order of ARIMA model was selected on the basis of autocorrelation function (ACF) and partial autocorrelation (PACF) of data series. Maximum likelihood method was used for determining the parameters of the models. To see the statistical parameter of model, best fitted model is ARIMA (0, 1, 4) (0, 1, 1)12.
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Hariyana, Nanik, Raden Andi Sularso, Diana Sulianti K. Tobing, and Imam Suroso. "The Effect of Advertising Strategies for the Sale of Message Soap on the Decision Purchase in East Java." GATR Journal of Management and Marketing Review 3, no. 1 (February 23, 2018): 01–05. http://dx.doi.org/10.35609/jmmr.2018.3.1(1).
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Objective - The purpose of this study is to determine the effect of advertising of FMCG products on the decision to purchase those products, and brand loyalty, in East Java. Methodology/Technique - This study examines the effect of television advertising on the decision to purchase and brand loyalty with respect to FMCG products. The study uses purposive sampling to gather information in the district of East Java, with a sample of 140 respondents. The study also uses SEM (Structural Equation Modelling) to measure the results. Findings - The SEM analysis shows that product advertising has a significant effect on the decision to purchase and brand loyalty on FMCG products in East Java, which tends to increase at a rate of 5% alpha. Novelty - This study examines the purchasing power of people in the district of East Java. Type of Paper: Empirical Keywords: Strategy; Advertising; Messages; Advertising Products; Lux Soap; Purchasing Decisions. JEL Classification: M37, M31.
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Hariyana, Nanik, Raden Andi Sularso, and Diana Sulianti K. Tobing. "FMCG Product Endorser Advertising Variable Affect the Purchase Decisions and Brand Loyalty in the Community in the Korwil Jember." GATR Journal of Management and Marketing Review 2, no. 3 (June 19, 2017): 89–95. http://dx.doi.org/10.35609/jmmr.2017.2.3(13).
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Objective - The purpose of this study to determine Endorsers of FMCG effect on Buying Decision and Brand Loyalty in Society in Korwil Jember. Phenomena of this study is the purchasing power of people in the district of Korwil Jember decisions. The purchase and brand loyalty FMCG products with their advertising endorser in television. Methodology/Technique - This study used purposive sampling to gather information in the district of Situbondo, with a sample of 126 respondents and data measured with SEM (Structural Equation Modelling). Findings – By knowing the quality of the product, usually bring an attitude like the product so that brand loyalty will be achieved. If a customer has made a purchase decision, and loyal to a brand, it is likely that consumers would recommend the product to others. Novelty - The study tests the Endorser effect in the context of Indonesia with original data. Type of Paper - Empirical Keywords: Advertising Endorser; FMCG Products; Purchase Decisions and Brand Loyalty JEL Classification: M31, M37.
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Mukhopadhyay, Partha, and Partha Pratim Sengupta. "Decision-Making Process of Farmers' in Present Political Economy of Agrarian Crisis with a Study of Burdwan District of West Bengal, India." International Journal of Sustainable Economies Management 6, no. 1 (January 2017): 96–113. http://dx.doi.org/10.4018/ijsem.2017010106.
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The agricultural sector is less contributing sector than service and manufacturing sector in terms of share in the total GDP in India. For last two decades, farmers suicide in India has been. The question is how the individual farmers are taking such drastic decision. Decision-making process is the most complex function of any individuals. But the judgment is influenced by a number of factors like emotion, mania, framing bias etc. By combining behavioral and cognitive psychological theory with conventional economics and finance, Behavioral Economics seeks to provide explanation for peoples' decision-making process such as economic decision. Recently, Burdwan District has become the news headlines for farmers' suicide. In this study the authors have been applying Behavioral theories to the farmers' decision-making process to find the influencing variable(s) and by factor analysis and Structural Equation Modelling. It is found that only Herding effect and Market information have strongly influenced the decision-making process of the farmers of the said district.
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Banerjee, Ruman, Prashant Srivastava, A. Pike, and George Petropoulos. "Identification of Painted Rock-Shelter Sites Using GIS Integrated with a Decision Support System and Fuzzy Logic." ISPRS International Journal of Geo-Information 7, no. 8 (August 12, 2018): 326. http://dx.doi.org/10.3390/ijgi7080326.
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The conservation and protection of painted rock shelters is an important issue. Throughout the world, if unprotected, they are vulnerable to vandalism or to industrial activities such as quarrying. This research explores the integrated use of a Geographic Information System (GIS) with a multi-criteria decision support system and fuzzy logic to identify possible rock art sites over the Vindhyan Plateau in the district of Mirzapur, Central India. The methodology proposed compares results obtained by spatial modelling with validation data derived from recent exhaustive field surveys of more than forty newly discovered rock-shelters in the Vindhyan region. The zones obtained by predictive modelling are in agreement with validation datasets and show that the method can be used for new site prospection. This method represents a potential tool for landscape planners and policy makers to employ when seeking protection from anthropogenic activities of potential areas of painted rock-shelter sites and archaeological deposits.
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Virtriana, R., A. Riqqi, T. S. Anggraini, K. N. Fauzan, K. T. N. Ihsan, F. C. Mustika, F. W. Atmaja, et al. "DEVELOPMENT OF GEOSPATIAL INFORMATION INTEGRATED WITH BIG DATA TO AGRICULTURAL HAZARD MONITORING IN WEST JAVA." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVI-M-2-2022 (July 25, 2022): 209–15. http://dx.doi.org/10.5194/isprs-archives-xlvi-m-2-2022-209-2022.
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Abstract. Food security is highly dependent on three aspects, namely food availability, food access, and food utilization. The availability aspect depends on food supply which is identical to agricultural productivity. West Java Province is the third national rice producer with 16.6%, but West Java Province is the most extensive rice consumer, around 21.1% of the total national rice consumption. Agricultural productivity can decline due to natural hazards such as floods and droughts. Monitoring floods and droughts in paddy fields are necessary to prevent decreased agricultural productivity. This study aims to monitor the rice fields from the dangers of flooding and drought every month. Agricultural hazard monitoring is divided into two parameters, namely static parameters and dynamic parameters. Dynamic parameters are observed every month so that the hazard index is generated on a monthly scale. GIS and Remote sensing data are integrated to perform agricultural hazard modelling. Furthermore, this agricultural hazard modelling results will be strengthened by using big to provide information about an almost real-time event that can be accessed through the Application Program Interface (API) service. This study uses a data mining system from Drone Emprit that performs data mining on Twitter and news portals with machine learning technology (probabilistic classifier) and Natural Learning Process. The results obtained are around 15,000 data from January 1 to November 1, 2021, and 37.9% of them are identified by location based on the city or district level in West Java Province. It is hoped that the policy-maker can consider the area of agricultural land that requires assistance to increase productivity and plan a policy to support agriculture in West Java in the future.
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Sizova, O. V., A. V. Zhavoronkova, and V. E. Mizonov. "Modeling the process of calculating indicators of thermal efficiency of state district power station equipment." Vestnik IGEU, no. 3 (June 30, 2021): 42–50. http://dx.doi.org/10.17588/2072-2672.2021.3.042-050.
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During the operation of state district power station, it is necessary to calculate the technical and economic performance (TEP) of the equipment operation based on the results of measuring the parameters of heat carrier flows. In particular, such tasks are solved during thermal (balance, functional) tests of heat and power equipment, as well as during the preparation of monthly technical reports of the state district power station on thermal efficiency. Therefore, the urgent task is to develop the model of calculating the indicators of the thermal efficiency of the equipment of the state district power station using modern computerized tools. Methods of business processes modelling, and mathematical modeling are used to solve this problem. The developed model of the project is based on the principles and approaches of systems analysis. The model is adapted to a specific subject area and allows you to optimize the process of calculating the key parameters of the efficiency of the state district power station operation: power plant capacity, heat load, specific fuel consumption and overall efficiency of the power plant. An information system model was developed to automate the process of calculating the TEP to ensure a more economic operation of equipment due to reducing the time and cost of this process.Based on the analysis of the developed models, a project was developed to automate the process of TEP calculating to ensure more economical equipment operation, to predict equipment repair, and assess the quality of operating personnel work. The paper presents the architecture of the solution of the information system for TEP accounting, the model of the subsystem of calculation modules, the structural diagram of the operation of the data collection module, the interface of designed information system. The developed model of the project for automation of the TPE calculation process allows us to increase the efficiency of the enterprise due to increasing the efficiency and promptness of managerial decisions, reducing fuel costs, saving on consumables, and personnel cuts.
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Herman, L., and T. Řezník. "3D WEB VISUALIZATION OF ENVIRONMENTAL INFORMATION – INTEGRATION OF HETEROGENEOUS DATA SOURCES WHEN PROVIDING NAVIGATION AND INTERACTION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-3/W3 (August 20, 2015): 479–85. http://dx.doi.org/10.5194/isprsarchives-xl-3-w3-479-2015.
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3D information is essential for a number of applications used daily in various domains such as crisis management, energy management, urban planning, and cultural heritage, as well as pollution and noise mapping, etc. This paper is devoted to the issue of 3D modelling from the levels of buildings to cities. The theoretical sections comprise an analysis of cartographic principles for the 3D visualization of spatial data as well as a review of technologies and data formats used in the visualization of 3D models. Emphasis was placed on the verification of available web technologies; for example, X3DOM library was chosen for the implementation of a proof-of-concept web application. The created web application displays a 3D model of the city district of Nový Lískovec in Brno, the Czech Republic. The developed 3D visualization shows a terrain model, 3D buildings, noise pollution, and other related information. Attention was paid to the areas important for handling heterogeneous input data, the design of interactive functionality, and navigation assistants. The advantages, limitations, and future development of the proposed concept are discussed in the conclusions.
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Laucelli, Daniele, Michele Romano, Dragan Savić, and Orazio Giustolisi. "Detecting anomalies in water distribution networks using EPR modelling paradigm." Journal of Hydroinformatics 18, no. 3 (December 12, 2015): 409–27. http://dx.doi.org/10.2166/hydro.2015.113.
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Sustainable management of water distribution networks (WDNs) requires effective exploitation of available data from pressure/flow devices. Water companies collect a large amount of such data, which need to be managed correctly and analysed effectively using appropriate techniques. Furthermore, water companies need to balance the data gathering and handling costs with the benefits of extracting useful information. Recent approaches implementing data mining techniques for analysing pressure/flow data appear very promising, because they can automate mundane tasks involved in data analysis process and efficiently deal with sensor data collected. Furthermore, they rely on empirical observations of a WDN behaviour over time, allowing reproducing/predicting possible future behaviour of the network. This paper investigates the effectiveness of the evolutionary polynomial regression (EPR) paradigm to reproduce the behaviour of a WDN using on-line data recorded by low-cost pressure/flow devices. Using data from a real district metered area, the case study presented shows that by using the EPR paradigm a model can be built which enables the accurate reproduction and prediction of the WDN behaviour over time and detection of flow anomalies due to possible unreported bursts or unknown increase of water withdrawal. Such an EPR model might be integrated into an early warning system to raise alarms when anomalies are detected.
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Watjou, Kevin, Christel Faes, and Yannick Vandendijck. "Spatial Modelling to Inform Public Health Based on Health Surveys: Impact of Unsampled Areas at Lower Geographical Scale." International Journal of Environmental Research and Public Health 17, no. 3 (January 28, 2020): 786. http://dx.doi.org/10.3390/ijerph17030786.
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Small area estimation is an important tool to provide area-specific estimates of population characteristics for governmental organizations in the context of education, public health and care. However, many demographic and health surveys are unrepresentative at a small geographical level, as often areas at a lower level are not included in the sample due to financial or logistical reasons. In this paper, we investigated (1) the effect of these unsampled areas on a variety of design-based and hierarchical model-based estimates and (2) the benefits of using auxiliary information in the estimation process by means of an extensive simulation study. The results showed the benefits of hierarchical spatial smoothing models towards obtaining more reliable estimates for areas at the lowest geographical level in case a spatial trend is present in the data. Furthermore, the importance of auxiliary information was highlighted, especially for geographical areas that were not included in the sample. Methods are illustrated on the 2008 Mozambique Poverty and Social Impact Analysis survey, with interest in the district-specific prevalence of school attendance.
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Pinson, P., T. S. Nielsen, H. Aa Nielsen, N. K. Poulsen, and H. Madsen. "Temperature prediction at critical points in district heating systems." European Journal of Operational Research 194, no. 1 (April 2009): 163–76. http://dx.doi.org/10.1016/j.ejor.2007.11.065.
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Khir, Reem, and Mohamed Haouari. "Optimization models for a single-plant District Cooling System." European Journal of Operational Research 247, no. 2 (December 2015): 648–58. http://dx.doi.org/10.1016/j.ejor.2015.05.083.
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Ndagire, Emma, Nicholas Ollberding, Rachel Sarnacki, Murali Meghna, Jafesi Pulle, Jenifer Atala, Collins Agaba, et al. "Modelling study of the ability to diagnose acute rheumatic fever at different levels of the Ugandan healthcare system." BMJ Open 12, no. 3 (March 2022): e050478. http://dx.doi.org/10.1136/bmjopen-2021-050478.
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ObjectiveTo determine the ability to accurately diagnose acute rheumatic fever (ARF) given the resources available at three levels of the Ugandan healthcare system.MethodsUsing data obtained from a large epidemiological database on ARF conducted in three districts of Uganda, we selected variables that might positively or negatively predict rheumatic fever based on diagnostic capacity at three levels/tiers of the Ugandan healthcare system. Variables were put into three statistical models that were built sequentially. Multiple logistic regression was used to estimate ORs and 95% CI of predictors of ARF. Performance of the models was determined using Akaike information criterion, adjusted R2, concordance C statistic, Brier score and adequacy index.ResultsA model with clinical predictor variables available at a lower-level health centre (tier 1) predicted ARF with an optimism corrected area under the curve (AUC) (c-statistic) of 0.69. Adding tests available at the district level (tier 2, ECG, complete blood count and malaria testing) increased the AUC to 0.76. A model that additionally included diagnostic tests available at the national referral hospital (tier 3, echocardiography, anti-streptolysin O titres, erythrocyte sedimentation rate/C-reactive protein) had the best performance with an AUC of 0.91.ConclusionsReducing the burden of rheumatic heart disease in low and middle-income countries requires overcoming challenges of ARF diagnosis. Ensuring that possible cases can be evaluated using electrocardiography and relatively simple blood tests will improve diagnostic accuracy somewhat, but access to echocardiography and tests to confirm recent streptococcal infection will have the greatest impact.
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OLAYA-MARIN, E. J., F. MARTÍNEZ-CAPEL, R. GARCÍA-BARTUAL, and P. VEZZA. "Modelling critical factors affecting the distribution of the vulnerable endemic Eastern Iberian barbel (Luciobarbus guiraonis) in Mediterranean rivers." Mediterranean Marine Science 17, no. 1 (March 10, 2015): 264. http://dx.doi.org/10.12681/mms.1351.
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Luciobarbus guiraonis (Eastern Iberian barbel) is an endemic fish species restricted to Spain, mainly distributed in the Júcar River Basin District. Its study is important because there is little knowledge about its biology and ecology. To improve the knowledge about the species distribution and habitat requirements, nonlinear modelling was carried out to predict the presence/absence and density of the Eastern Iberian barbel, based on 155 sampling sites distributed throughout the Júcar River Basin District (Eastern Iberian Peninsula). We used multilayer feed-forward artificial neural networks (ANN) to represent nonlinear relationships between L. guiraonis descriptors and variables regarding the physical habitat and biological components (macroinvertebrates, fish, riparian forest). The gradient descent algorithm was implemented to find the optimal model parameters; the importance of the ANN’s input variables was determined by the partial derivatives method. The predictive power of the model was evaluated with the Cohen’s kappa (k), the correctly classified instances (CCI), and the area under the curve (AUC) of the receiver operator characteristic (ROC) plots. The best model predicted presence/absence with a high performance (k= 0.66, CCI= 87% and AUC= 0.85); the prediction of density was moderate (CCI = 62%, AUC=0.71 and k= 0.43). The fundamental variables describing the presence/absence were; solar radiation (the highest contribution was observed between 2000 and 4200 WH/m2), drainage area (with the strongest influence between 3000 and 5.000 km2), and the proportion of exotic fish species (with relevant contribution between 50 and 100%). In the density model, the most important variables were the coefficient of variation of mean annual flows (relative importance of 50.5%) and the proportion of exotic fish species (24.4%). The models provide important information about the relation of L. guiraonis with biotic and abiotic variables, this new knowledge can help develop future studies and management plans for the conservation of this species in the Júcar River Basin District and, potentially, for the conservation of other endemic fish species of Barbus and Luciobarbus in Mediterranean rivers.
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Firdarini, Khoirunnisa Cahya, and Agung Slamet Prasetyo. "PENGARUH PENGGUNAAN INFORMASI AKUNTANSI DAN MANAJEMEN MODAL KERJA PELAKU UMKM TERHADAP KEBERHASILAN USAHA DENGAN UMUR USAHASEBAGAI VARIABEL PEMODERASI (STUDI KASUS PADA INDUSTRI KREATIF DI YOGYAKARTA)." JURNAL STIE SEMARANG 12, no. 1 (February 24, 2020): 19–32. http://dx.doi.org/10.33747/stiesmg.v12i1.394.
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Small and medium enterprises (SMEs) are one of important sector of national economic that have contributed to labor absorption and Gross Domestic Product (GDP). They could survive of financial crisis both in national and global scale.
This research examines the effect of accounting information and working capital management toward business success of small and medium enterprise (SMEs) with age of business as moderating variable. The population of this research are small and medium enterprises (SMEs) in creative industries sector operated in Yogyakarta district. They are handycraft, culinary and fashion. Based on purposive sampling method, total sample of this research is 200 SMEs. Hypothesis testing used is path analysis using structural equation modelling (SEM). The test result shows that accounting information and working capital management have positive and significant effect to the success of SMEs.Age of business as moderating variable also have positive and significant effect to the success of SMEs.
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Borysenko, Kateryna, Vladyslav Popov, and Polina Oblogina. "Elevation modelling of an area of the Siverskyi Donets riverbed (near Haidary village, Chuguyevskiy district, Kharkiv region)." Visnyk of V.N. Karazin Kharkiv National University, series Geology. Geography. Ecology, no. 55 (December 1, 2021): 128–40. http://dx.doi.org/10.26565/2410-7360-2021-55-10.
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Formulation of the problem. The article represents the practical experience of the bottom echo sounding and processing of the data received for digital elevation modelling. The relevance and specificity of using sonar equipment to study the specificity of the morphology of the underwater relief of small hydrological features are covered. The domestic and foreign publications in this area are analysed, and therefore the conclusion of the issue being not studied enough in domestic sources is made. Methods. The analysis of literature sources on modelling the river network, visualization of relief models. The bathymetric survey data was used to compile a bathymetric map of the river and build a digital elevation model. The purpose of the article is sharing developer experience in making of digital elevation models of a section of the riverbed on the example of the Siverskyi Donets River (near Haidary village, Chuguevskiy district, Kharkiv region). Processing of measurement data received as a result of echo sounder surveys. Preservation and recording of general information received to expand the river bottom relief database. Provide an overview of the uses and applications of geoinformation technologies, determine the research prospects based on the developed digital elevation models. Results. The results of echo sounding and post-processing of the data received using specialized software are presented. The section of the Siverskyi Donets River in the area of the geographical educational and scientific station «Haidary» was chosen as the territory for the hydrographic research (Haidary village, Chuguevsky District, Kharkiv region). The field part of the research was conducted using the equipment of the material and technical basis of the Physical Geography and Cartography Department of the V. N. Karazin Kharkiv National University, for instance using the Lawrance Elite 7 TI chartplotter-echosounder with modern scanning modes CHIRP, DownScan, StrucureScan. Scientific novelty and practical significance. The specificity of creating and visualizing in the ReefMaster software package is covered in the article. A model of the bottom of the corresponding section of the Siverskyi Donets River and a depth map, which will allow the future analysis of the dynamics and the prediction of changes of the bed configuration, have been developed on the basis of the field work results. The advantages of using budget equipment and software for performing underwater relief studies of such hydrological objects are formulated. The novelty of the study is not only the use of the methodological foundations of digital modelling, but also the alternative classification approaches for describing the relief and conducting morphostructural analysis based on the GIS technologies.
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Morales, Jose, Johannes Flacke, and Jaap Zevenbergen. "Modelling residential land values using geographic and geometric accessibility in Guatemala City." Environment and Planning B: Urban Analytics and City Science 46, no. 4 (August 25, 2017): 751–76. http://dx.doi.org/10.1177/2399808317726332.
Full textAbstract:
Location and accessibility are core concepts for land-value research. However, the perspective is still limited in their conceptual and methodological application to cities from the Global South. The objective of this research is to bridge concepts and definitions to comprehensively operationalize accessibility indicators and uncover its relation with residential land-values in Guatemala City. We developed a multivariate regression model using the following access metrics: (1) geographic-access indices that were computed using time-based analyses per transport mode; (2) geometric-access metrics estimated via Space Syntax at various spatial scales; (3) a proposed geometric via geographic-access metric computed as potential access to network centrality. A variable selection process allowed to assess the information contribution of each variable in building a parsimonious model. We assessed the model in the context of model variations that represent common approaches used in existing literature. Geographic access to the core business district has the highest impact on the land-values, followed by proximity to urban areas with high geometric-access, measured as geometric via geographic access. Geometric accessibility at neighbourhood and city-wide scales add spatialized information that contributes to a parsimonious model and reduces spatial dependence. The model yielded the highest goodness of fit and prediction accuracy compared with the model variations. We concluded that Guatemala City land-values follow a predominant monocentric structure. Additionally, potential access to vital urban areas as identified via Space Syntax denotes the presence of economic activities, or potential for such, which were not explicitly addressed through the geographic-access metrics. The results have limitations but pose methodological possibilities relevant for research and practice in similar Latin American cities.
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Suslov, A. A., and B. P. Vaynerman. "Allocation of paleochannels in sand-clay sediments of middle Jurassic age in petrel software complex." Proceedings of higher educational establishments. Geology and Exploration, no. 6 (March 19, 2020): 26–31. http://dx.doi.org/10.32454/0016-7762-2019-6-26-31.
Full textAbstract:
On the Tazovsko-Zapolyarny licence block (Tazovsky district of Yamalo-Nenets Autonomous District), according to the materials of the seismic survey (3D) in sand-clay sediments of Middle Jurassic age U2 , the channel elements, which lie at different depths and have a submeridional extension, are identified. The purpose of this work was to study the spatial position of the identified channel elements (paleochannels) and to construct them using the Petrel (Schlumberger) program. The paleochannel building technique is described in the Petrel program. Based on the obtained modelling data, the locations of increased reservoir thicknesses in the areas of paleochannels development were specified and the areas of new prospecting wells were planned. As a result of the seismic data (3D) processing, three systems of paleochannels located on different hypsometric marks and associated with the U2-2, U2-3 and U2-4 beds were allocated. On the basis of the correlation of the well sections of the U2 bed, the clay bulkheads between the assumed beds are allocated, and the U2-2, U2-3 and U2-4 beds are marked in the section. The structural modelling of the U2 bed was carried out using all available information and the Schlumberger Petrel software complex. Using the «Lithology» property (takes the values «collector»–0, «collector»–1), the 3D models of paleochannels have been created separately for the U2-2, U2-3 and U2-4 beds. The newly created models of paleochannels have been introduced into the total volume of the U2 bed.