2020 39th International Conference of the Chilean Computer Science Society (SCCC)最新文献

Energy Consumption of a Building by using Long Short-Term Memory Network: A Forecasting Study 基于长短期记忆网络的建筑能耗预测研究

2020 39th International Conference of the Chilean Computer Science Society (SCCC) Pub Date : 2020-11-16 DOI: 10.1109/SCCC51225.2020.9281234

Julio Barzola-Monteses, Mayken Espinoza-Andaluz, Mónica Mite-León, Manuel Flores-Morán

引用次数: 15

SCCC 2020 Committees

2020 39th International Conference of the Chilean Computer Science Society (SCCC) Pub Date : 2020-11-16 DOI: 10.1109/sccc51225.2020.9281176

引用次数: 0

Improvements of a Topological Map-Matching Algorithm in Post-Processing Mode 后处理模式下拓扑映射匹配算法的改进

2020 39th International Conference of the Chilean Computer Science Society (SCCC) Pub Date : 2020-11-16 DOI: 10.1109/SCCC51225.2020.9281276

R. León, Carola A. Blazquez, Vincent Depassier

{"title":"Improvements of a Topological Map-Matching Algorithm in Post-Processing Mode","authors":"R. León, Carola A. Blazquez, Vincent Depassier","doi":"10.1109/SCCC51225.2020.9281276","DOIUrl":"https://doi.org/10.1109/SCCC51225.2020.9281276","url":null,"abstract":"The map-matching problem commonly arises when integrating position and other information from Global Navigation Satellite Systems (GNSS) such as GPS into a digital road map. This study presents improvements to an existing post-processing topological map-matching algorithm (TMMA) that successfully solves this problem. Both existing and improved TMMA were tested and compared regarding solution quality and computation time using GPS data collected from nine winter maintenance vehicle routes in Portage County, Wisconsin in the United States. On average, the results indicate an increase of 0.6% in the correct assignment of GPS points to the road network, and a decrease of 1% in the false negative (FN) cases (unmatched GPS points) when comparing the improved TMMA to the existing TMMA. Additionally, the improved TMMA can solve on average 1.3% more cases than the existing TMMA by assigning incorrect and FN points to correct road segments. Although enhanced results in terms of solution quality were obtained with the improved TMMA, the computation time is increased with this version of the TMMA due to additional steps that are incorporated in the resolution of the map-matching problem. Finally, the paired-sample T tests were conducted to identify statistical differences between both versions of the TMMA.","PeriodicalId":117157,"journal":{"name":"2020 39th International Conference of the Chilean Computer Science Society (SCCC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122210047","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Multi-edition approach for Median String Problem 中值字符串问题的多版本方法

2020 39th International Conference of the Chilean Computer Science Society (SCCC) Pub Date : 2020-11-16 DOI: 10.1109/SCCC51225.2020.9281222

José Ignacio Abreu Salas, P. Mirabal

引用次数: 1

Multi-OctConv: Reducing Memory Requirements in Image Generative Adversarial Networks 多八进制转换:减少图像生成对抗网络的内存需求

2020 39th International Conference of the Chilean Computer Science Society (SCCC) Pub Date : 2020-11-16 DOI: 10.1109/SCCC51225.2020.9281213

Francisco Tobar M, Claudio E. Torres

引用次数: 0

Predicting Motor Vehicle Theft in Santiago de Chile using Graph-Convolutional LSTM 使用图卷积LSTM预测智利圣地亚哥的机动车盗窃

2020 39th International Conference of the Chilean Computer Science Society (SCCC) Pub Date : 2020-11-16 DOI: 10.1109/SCCC51225.2020.9281174

N. Esquivel, O. Nicolis, Billy Peralta Márquez

引用次数: 0

Evaluating the categorisation of the public hospitals in Chile according to case-mix complexity: a genetic algorithm approach 根据病例组合复杂性评估智利公立医院的分类:遗传算法方法

2020 39th International Conference of the Chilean Computer Science Society (SCCC) Pub Date : 2020-11-16 DOI: 10.1109/SCCC51225.2020.9281282

A. González, José Lillo, Mario Inostroza-Ponta, Manuel Villalobos-Cid

{"title":"Evaluating the categorisation of the public hospitals in Chile according to case-mix complexity: a genetic algorithm approach","authors":"A. González, José Lillo, Mario Inostroza-Ponta, Manuel Villalobos-Cid","doi":"10.1109/SCCC51225.2020.9281282","DOIUrl":"https://doi.org/10.1109/SCCC51225.2020.9281282","url":null,"abstract":"The healthcare services must provide quality health safeguarding the efficient use of the resources. To evaluate technical efficiency performing fairly comparisons it is necessary to group the hospitals according to the type of patient treated: case-mix. Generally, this evaluation is performed by using the Related Groups for Diagnosis (DRG) system. Since only a few hospitals have implemented this system in Chile, the analysis of technical efficiency results limited. The Ministry of Health of Chile (MINSAL) has proposed an administrative categorisation for the public hospitals: high, medium and low complexity. However, it has not been studied if this definition is associated to the case-mix and if it can be used to study technical efficiency. In this work, we propose an ad-hoc genetic algorithm which combines filter feature selection and clustering strategies to determine if there is a set of features related to the case-mix that allow to reach the same categorisation proposed by the MINSAL. The results show that, although a small set of features is able to reach this categorisation by year, there is not enough evidence to establish a relationship with the case-mix. It is recommended that future technical efficiency analyses use new categorisations based on case-mix instead of the MINSAL categorisation.","PeriodicalId":117157,"journal":{"name":"2020 39th International Conference of the Chilean Computer Science Society (SCCC)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132244783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Vegetation cover estimation from high-resolution satellite images based on chromatic characteristics and image processing 基于彩色特征和图像处理的高分辨率卫星图像植被覆盖估算

2020 39th International Conference of the Chilean Computer Science Society (SCCC) Pub Date : 2020-11-16 DOI: 10.1109/SCCC51225.2020.9281247

Herwin Alayn Huillcen-Baca, Flor de Luz Palomino-Valdivia, J. Guizado, Y. P. Atencio, F. Tadeo

{"title":"Vegetation cover estimation from high-resolution satellite images based on chromatic characteristics and image processing","authors":"Herwin Alayn Huillcen-Baca, Flor de Luz Palomino-Valdivia, J. Guizado, Y. P. Atencio, F. Tadeo","doi":"10.1109/SCCC51225.2020.9281247","DOIUrl":"https://doi.org/10.1109/SCCC51225.2020.9281247","url":null,"abstract":"The change in ecosystems and the loss of biodiversity are global problems, one of the ecosystems with the most signifi-cant degradation is the high areas of the Andes, composed mostly of natural pastures. In the Andahuaylas province, Apurímac region, Peru, there is a high-impact Andean area for the collection of water for human consumption and irrigation; this area is called the Chumbao River Micro-basin. The problem is that this area is presenting essential changes in its surface, corresponding to natural pastures, especially of the species fescue (festuca dolycophylla) and paco (aciachne pulvinata). These changes do not have any estimates or studies that allow adequate decision-making in the adoption of preventive and corrective measures for the conservation of ecology, the environment, and water collection.Under this approach, this work proposes a method of estimating vegetation cover for those species, through the chromatic characteristics of each species, using high-resolution satellite images, extracted from the PERUSAT-1 satellite. The method consists of dividing the global satellite image into small images, converting them into the HSV color system (Hue, Saturation, and Value). Evaluating the range of chromatic characteristics of each species and performing range segmentation, subsequently fine-tuning the segmentation with morphological deformations and calculate the final area.The results obtained an accuracy of 91.56%, taking as a reference the result of the estimation of traditional vegetation cover; this result was tested in an area of 3824.45 m2 with the presence of both species. Therefore, our proposal is a reliable method for calculating vegetation cover and can be used for large surface areas, saving human and financial resources and with almost instantaneous results, compared to the traditional way.","PeriodicalId":117157,"journal":{"name":"2020 39th International Conference of the Chilean Computer Science Society (SCCC)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134175078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

FAIS: A System for Effectively Learning Students Names and Faces in Massive Courses FAIS:在大规模课程中有效学习学生姓名和面孔的系统

2020 39th International Conference of the Chilean Computer Science Society (SCCC) Pub Date : 2020-11-16 DOI: 10.1109/SCCC51225.2020.9281182

J. Munoz-Gama, Raul Alvarez-Esteban, José Montalva-Carmona, Jorge A. Baier

引用次数: 0

Evaluating the Performance of Explainable Machine Learning Models in Traffic Accidents Prediction in California 评估加利福尼亚州交通事故预测中可解释机器学习模型的性能

2020 39th International Conference of the Chilean Computer Science Society (SCCC) Pub Date : 2020-11-16 DOI: 10.1109/SCCC51225.2020.9281196

Camilo Parra, C. Ponce, Rodrigo F. Salas

{"title":"Evaluating the Performance of Explainable Machine Learning Models in Traffic Accidents Prediction in California","authors":"Camilo Parra, C. Ponce, Rodrigo F. Salas","doi":"10.1109/SCCC51225.2020.9281196","DOIUrl":"https://doi.org/10.1109/SCCC51225.2020.9281196","url":null,"abstract":"Reducing and preventing road traffic accidents is a major public health problem and a priority for many nations. In this paper, we seek to explore the performance of explainable machine learning models applied to the prediction of road traffic crashes using a dataset containing nearly three million records of this type of events and the conditions under which they occurred. To achieve this, the dataset US Accidents -A Countrywide Traffic Accident Dataset is used. First we will clean, standardize and reduce the data, then we will transform the time and location values using a geohashing library developed by Uber, later, we will increase our dataset to obtain events classified as ‘not an accident’ using web scraping techniques in the data sources of the original authors of the dataset. Then, we will evaluate the performance of different implementations of Random Forest and decision trees, we obtained a performance superior to 70% for the F1 score of these models. Finally, we conclude that weather conditions are strongly related to the car accident.","PeriodicalId":117157,"journal":{"name":"2020 39th International Conference of the Chilean Computer Science Society (SCCC)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115619171","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6