2021 XIX Workshop on Information Processing and Control (RPIC)最新文献_第2页

Development of a Tool for the Identification and energy Analysis of buildings’ envelopes of different Hospital Areas 不同医院区域建筑围护结构识别和能源分析工具的开发

2021 XIX Workshop on Information Processing and Control (RPIC) Pub Date : 2021-11-03 DOI: 10.1109/RPIC53795.2021.9648409

Emilia Urteneche, Santiago Tomás Fondoso-Ossola, D. Barbero, Irene Martini

{"title":"Development of a Tool for the Identification and energy Analysis of buildings’ envelopes of different Hospital Areas","authors":"Emilia Urteneche, Santiago Tomás Fondoso-Ossola, D. Barbero, Irene Martini","doi":"10.1109/RPIC53795.2021.9648409","DOIUrl":"https://doi.org/10.1109/RPIC53795.2021.9648409","url":null,"abstract":"Hospital facilities are considered to be some of the buildings with the highest consumption per unit of floor area, due to the use of the functions performed in each hospital area and the need to ensure strict conditions for the habitability of its users. On the other hand, it has been detected that in the hospital network there are different construction systems in terms of the characteristics of the building envelope for the same hospital areas. This is due to the fact that they have been designed in different time contexts, responding to different criteria and regulations. In the current context, which leads to the need to provide energy efficiency solutions in a strategic way, this work provides a tool for the detection of the situations that present greater heat loss by the building envelopes. Thus, by applying the calculator developed to the same hospital area distributed in different buildings, an indicator of heat loss through the building envelope per unit of floor area is obtained. The results achieved make it possible to direct specific measures to the most critical situations, which will make it possible to save resources for building envelope refurbishment when implementing alternative energy strategies.","PeriodicalId":299649,"journal":{"name":"2021 XIX Workshop on Information Processing and Control (RPIC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130219729","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: 1

Evaluation of audiovisual evoked potentials for multiple commands in BCI 脑机接口中多个指令的视听诱发电位评价

2021 XIX Workshop on Information Processing and Control (RPIC) Pub Date : 2021-11-03 DOI: 10.1109/RPIC53795.2021.9648452

Luciano Carmona, Pablo F. Diez, E. Laciar, V. Mut

引用次数: 0

Weather Radar Receiver Identification for Improving Wi-Fi Interference Detection 气象雷达接收机识别改进Wi-Fi干扰检测

2021 XIX Workshop on Information Processing and Control (RPIC) Pub Date : 2021-11-03 DOI: 10.1109/RPIC53795.2021.9648458

Jorge Cogo, A. C. Rosell, J. Areta, J. P. Pascual

引用次数: 2

Experimental validation of a detection and isolation strategy of current sensors and inverter switches faults in electric drives 电流传感器与逆变器开关故障检测与隔离策略的实验验证

2021 XIX Workshop on Information Processing and Control (RPIC) Pub Date : 2021-11-03 DOI: 10.1109/RPIC53795.2021.9648429

L. E. Venghi, F. Aguilera, P. M. de la Barrera, C. D. de Angelo

引用次数: 0

Identification of New Particle Formation Events With Hidden Markov Models 用隐马尔可夫模型识别新粒子形成事件

2021 XIX Workshop on Information Processing and Control (RPIC) Pub Date : 2021-11-03 DOI: 10.1109/RPIC53795.2021.9648466

Germán Pérez Fogwill, Patricia A. Pelle, E. Asmi

{"title":"Identification of New Particle Formation Events With Hidden Markov Models","authors":"Germán Pérez Fogwill, Patricia A. Pelle, E. Asmi","doi":"10.1109/RPIC53795.2021.9648466","DOIUrl":"https://doi.org/10.1109/RPIC53795.2021.9648466","url":null,"abstract":"Formation of new particles in the atmosphere is a phenomenon of great importance in the Earth’s climate system. To study this phenomenon, number concentration of particles of various sizes (even nanometric) must be measured over long periods of time. Traditionally the analysis of the data requires a manual visual inspection of the records following pre-established protocols. A critical step in the analysis of the measurements is to detect those moments where the new particle formation (NPF) events actually occurred. In addition, the number of formed new particles and their particle dynamics are typically investigated and quantified. Manual analysis of the measurements makes the obtained results strongly subjective, even if the established protocols are strictly followed. Therefore, obtained results, such as the frequency of occurrence of such events, or the average new particle formation rate, can be highly variable. To decrease these uncertainties, we have developed a new methodology to automatize the NPF analysis. In this work, we present a system based on Hidden Markov Models (HMM) to automatically detect in long data series the instants where a NPF event occurs. We show that the HMM can be used to detect NPF event in an objective and effective way, with low complexity either to create the automatic classification system or to use it.","PeriodicalId":299649,"journal":{"name":"2021 XIX Workshop on Information Processing and Control (RPIC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123815860","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

Prediction of thermal currents for autonomous drone flight with Artificial Intelligence 基于人工智能的无人机自主飞行热流预测

2021 XIX Workshop on Information Processing and Control (RPIC) Pub Date : 2021-11-03 DOI: 10.1109/RPIC53795.2021.9648483

C. Catuogno, G. Catuogno, D. De Yong, F. Magnago, G. Garcia, J. Bosso

引用次数: 2

Control by IoT in Drinking Water Pumping Station and Cisterns 饮用水泵站和蓄水池的物联网控制

2021 XIX Workshop on Information Processing and Control (RPIC) Pub Date : 2021-11-03 DOI: 10.1109/RPIC53795.2021.9648462

Ing. Leonardo Depetris, Ing. Damian Romani, Ing. Joaquín Gonzalez, Claudio Bottero, Maciel Rui, Valentino Buratto, Juan Lorenzati, Diego Vaira, E. Rui

{"title":"Control by IoT in Drinking Water Pumping Station and Cisterns","authors":"Ing. Leonardo Depetris, Ing. Damian Romani, Ing. Joaquín Gonzalez, Claudio Bottero, Maciel Rui, Valentino Buratto, Juan Lorenzati, Diego Vaira, E. Rui","doi":"10.1109/RPIC53795.2021.9648462","DOIUrl":"https://doi.org/10.1109/RPIC53795.2021.9648462","url":null,"abstract":"This project focuses on the development of a set of devices that allow remote monitoring and remote control of the cistern and drinking water pumping station, in the city of Morteros (Córdoba), to streamline the operation and decision-making before emergenciesSpecifically, it is proposed to create an IoT network with ESP32 and Arduino DUE microcontrollers for taking a remote reading of the tank level and flow of entry to it, adapting digital communications with the plant's own equipment; this also includes bi-directional communication with the PID controller that drives the booster pumps. Finally, the inclusion of new equipment and sensors that can determine the magnitudes of water inlet pressure, cistern outlet flow, dosage and amount of available chlorine and determine possible flooding due to water leaks in the pits is projected that are below ground level. After the implementations and after several months of its start-up, the project was concluded favorably since it was possible to have the monitoring and control of the plant; allowing a better administration of this and a reduction in failures.","PeriodicalId":299649,"journal":{"name":"2021 XIX Workshop on Information Processing and Control (RPIC)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122790005","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

Design and testing adaptive predictive control based on global models of endocrine system for diabetic patients 基于糖尿病患者内分泌系统全局模型的自适应预测控制设计与测试

2021 XIX Workshop on Information Processing and Control (RPIC) Pub Date : 2021-11-03 DOI: 10.1109/RPIC53795.2021.9648525

Lucas O. Griva, M. Basualdo

{"title":"Design and testing adaptive predictive control based on global models of endocrine system for diabetic patients","authors":"Lucas O. Griva, M. Basualdo","doi":"10.1109/RPIC53795.2021.9648525","DOIUrl":"https://doi.org/10.1109/RPIC53795.2021.9648525","url":null,"abstract":"This work presents a new methodology to design the Predictive Functional Control (PFC) algorithm to be implemented in the context of the Artificial Pancreas (AP) for patients with Type 1 Diabetes Mellitus (T1DM). The proposal here is that the parameters of the internal model of PFC be continuously adapted to follow the real patient evolution through an on line identification technique. We call the new PFC as \"adaptive PFC\" where the internal model parameters are estimated by the recursive estimation based on UD factorization. Additionally, to test the adaptive PFC we use a global data driven model, previously developed, to perform the final tuning (commissioning) to be practically ready to be used in AP implementations. The closed loop responses are tested with the in silico patient obtained through dynamic simulations of the global model (GM) when different meals intake and insulin dosages are given to the patient Nº 5041 from the Center of Diabetes Technology (UVa/USA). The GM is a combination between long and short term models and uses a particular approach based on Kalman Filter to improve the short term predictions. It helps to tracking glycaemia every five minutes to mimic a realistic in silico patient. The comparisons will be done with the regular PFC and the patient without control. The regular PFC has the internal model with constant parameters obtained from the ARX model to isolate the insulin impact from the carbohydrates effects on the blood glucose variations. Finally, the full closed loop simulations, taking into account the constraints related to the insulin pump, are included. The performance of the controllers and the free style of the patient are evaluated by means of the Control Variability Grid Analysis (CVGA). Closing the work, we present the final conclusions based on the comparison results and discuss some future works.","PeriodicalId":299649,"journal":{"name":"2021 XIX Workshop on Information Processing and Control (RPIC)","volume":"16 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128566872","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

Retrospective views of geomatics teaching in Argentina 阿根廷地理信息学教学回顾

2021 XIX Workshop on Information Processing and Control (RPIC) Pub Date : 2021-11-03 DOI: 10.1109/RPIC53795.2021.9648443

Almendra Brasca Merlin, C. Martínez, P. Kandus

引用次数: 0

Combination of two land cover classifications in San Juan city and surroundings, Argentina. Inter-seasonal variations assessment 阿根廷圣胡安市及其周边地区两种土地覆盖分类的结合。季节间变化评估

2021 XIX Workshop on Information Processing and Control (RPIC) Pub Date : 2021-11-03 DOI: 10.1109/RPIC53795.2021.9648434

Juan M. Casañas, P. Cometto, Mauro González Vera

{"title":"Combination of two land cover classifications in San Juan city and surroundings, Argentina. Inter-seasonal variations assessment","authors":"Juan M. Casañas, P. Cometto, Mauro González Vera","doi":"10.1109/RPIC53795.2021.9648434","DOIUrl":"https://doi.org/10.1109/RPIC53795.2021.9648434","url":null,"abstract":"This work aims to assess inter-seasonal changes of a supervised classification in San Juan city and surroundings, Argentina, focusing on urban land use. A land cover supervised classification was performed from Landsat 8 (OLI) and Sentinel-1 SAR images and a spectral indices set. This classification showed a right class differentiation (Short/medium vegetation, Medium/tall vegetation, Bare soil, Erodible sediment, Rocky Material, Urban and Peri-urban), however, variations of the Urban class area between winter and summer seasons were observed. Alternatively, a classification based on VIIRS (NOAA-20) night lights images was performed. Although this second classification shows significant inter-seasonal differences, these can be explained by the vegetation medium/tall (trees) contrast between both seasons. A combination of day and night images classification was carried out, which represents an improvement over previous work on the seasonal stability of the Urban and Peri-urban classes. The obtained map is suitable to be used in future studies on the region.","PeriodicalId":299649,"journal":{"name":"2021 XIX Workshop on Information Processing and Control (RPIC)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116317534","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: 1