2016 XXI Symposium on Signal Processing, Images and Artificial Vision (STSIVA)最新文献_第7页

Reasoner design based on HYPO for classification of lighting loads 基于HYPO的照明负荷分类推理器设计

2016 XXI Symposium on Signal Processing, Images and Artificial Vision (STSIVA) Pub Date : 2016-08-01 DOI: 10.1109/STSIVA.2016.7743336

Jose D. Cortes, Yulieth Jimenez, C. Duarte

{"title":"Reasoner design based on HYPO for classification of lighting loads","authors":"Jose D. Cortes, Yulieth Jimenez, C. Duarte","doi":"10.1109/STSIVA.2016.7743336","DOIUrl":"https://doi.org/10.1109/STSIVA.2016.7743336","url":null,"abstract":"Nonintrusive Load Monitoring (NILM) provides information about the electrical power consumption per appliance in a house to manage the energy consumption. NILM requires measurements in only one point and algorithms to make load disaggregation. One approach is classifying characteristics of the appliance through machine learning techniques such as Support Vector Machines (SVM) and Artificial Neural Networks (ANN). These techniques have limitations in the database use and the disregard of the information context. In this paper a reasoning technique based on the Case Based Reasoning (CBR) reasoner called HYPO is proposed. This reasoner creates hypothetical cases to classify new cases based on the solution of previous experiences. The study is focused on lighting appliances which represent meaningful power consumption in the houses. Electrical measurements lamps in steady state were acquired in the Laboratory, for individual and combined operation. Additionally, characteristics are computed to build the CBR HYPO models. The performance of CBR HYPO is evaluated and compared to the one of SVM. As a result, CBR HYPO outperforms the SVM for combined operation of lamps, while it fails behind SVM for individual operation.","PeriodicalId":373420,"journal":{"name":"2016 XXI Symposium on Signal Processing, Images and Artificial Vision (STSIVA)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123520684","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

Proposal of a short step and stride measurement system for uncontrolled environments 一种适用于非受控环境的短步幅测量系统的设计

2016 XXI Symposium on Signal Processing, Images and Artificial Vision (STSIVA) Pub Date : 2016-08-01 DOI: 10.1109/STSIVA.2016.7743354

Laura Juliana Vargas Escobar, S. A. Salinas, Luis Alfonso Fiallo Duran

引用次数: 0

Background intensity removal in structured light three-dimensional reconstruction 结构光三维重建中的背景强度去除

2016 XXI Symposium on Signal Processing, Images and Artificial Vision (STSIVA) Pub Date : 2016-08-01 DOI: 10.1109/STSIVA.2016.7743326

Raul Vargas, J. Pineda, A. Marrugo, L. Romero

引用次数: 2

Early detection method of enterococci for water quality control with digital image processing techniques 数字图像处理技术在水质控制中的肠球菌早期检测方法

2016 XXI Symposium on Signal Processing, Images and Artificial Vision (STSIVA) Pub Date : 2016-08-01 DOI: 10.1109/STSIVA.2016.7743315

Laura Victoria Vigoya Morales, María Dolores Valdés, C. Trillo

{"title":"Early detection method of enterococci for water quality control with digital image processing techniques","authors":"Laura Victoria Vigoya Morales, María Dolores Valdés, C. Trillo","doi":"10.1109/STSIVA.2016.7743315","DOIUrl":"https://doi.org/10.1109/STSIVA.2016.7743315","url":null,"abstract":"Enterococci are part of the normal intestinal flora of humans and animals. They have long been recognized as important human pathogens and are increasing. Enterococcus faecalis and Enterococcus faecium are the most prevalent species cultured from humans, accounting for more than 90 % of clinical isolates. Due to their ubiquity in human feces and persistence in the environment, enterococci have been adopted as indicators of human fecal pollution in water. One of the methods used in water quality control is the membrane filtration technique (Membrane Filtration - MF) (ISO7899-2). This method requires the cultivation of bacteria (enterococci), which is a great disadvantage because the time required to obtain the final result is between 24 and 48 hours. This work proposes a design of a system that detects, with optical sensors, the presence of simulated bacterial colonies in the early stages of the cultures (14-24 h). An image processing system (ZooMat) has been developed with Matlab to detect simulated colonies at early stages, which allows you to process the image before counting. To obtain detection and a count of bacterial colonies on each image, we integrate NICE (an open source, free software) to our system, to gather the results. The entire system allows detection of particles at about 60 μm.","PeriodicalId":373420,"journal":{"name":"2016 XXI Symposium on Signal Processing, Images and Artificial Vision (STSIVA)","volume":"7 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132192175","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

Desing of a coded aperture base computed tomography architecture with two X-ray rotating sources 具有两个x射线旋转源的编码孔径基计算机断层扫描结构设计

2016 XXI Symposium on Signal Processing, Images and Artificial Vision (STSIVA) Pub Date : 2016-08-01 DOI: 10.1109/STSIVA.2016.7743301

Julian Camilo Araque Gomez, Miguel Marquez Castellanos, Henry Arguello Fuentes

{"title":"Desing of a coded aperture base computed tomography architecture with two X-ray rotating sources","authors":"Julian Camilo Araque Gomez, Miguel Marquez Castellanos, Henry Arguello Fuentes","doi":"10.1109/STSIVA.2016.7743301","DOIUrl":"https://doi.org/10.1109/STSIVA.2016.7743301","url":null,"abstract":"Computed tomography (CT) is a non-destructive technique that allows estimation and visualization of the internal structure of an object. Traditionally, CT images are captured by a CT scanner. However, different factors reduce the quality of the acquired images. To obtain a high quality CT images is necessary increase the number of sensors or oversample the object. The number of projections needed for sensing a CT scene is determined by the Nyquist limit, however, in some cases the imposed projections number is excessive. Coded aperture are elements that can block or allow the passing of X-rays and is one approach that can overcome these limitations. Compressive sensing (CS) has emerged as a sampling technique requiring fewer projections than those specified by the Nyquist criterion. CS is a theory to acquire and to reconstruct a signal efficiently by the search of a sparse solution to an indeterminate system of linear equations. A strategy to introduce CS theory in a CT configuration is to include elements into the system that allow coding the measurements to get compressed samples. This paper describes a CS system for CT based on coded apertures using two sources and a two-dimensional array that rotate around the object. An optimized value of transmittance and an aperture distribution are selected such that the quality of reconstruction is efficient. In order to compare the performance of the proposed method, two real CT images and two synthetic CT image were used. Simulations indicate that CT architecture provides comparable results to those achieved with traditional CT architectures. The simulation results show that the proposed method allows more diversity coding. This allows up to 2 dB improvement in terms of PSNR than the results obtained using traditional architecture cone beam.","PeriodicalId":373420,"journal":{"name":"2016 XXI Symposium on Signal Processing, Images and Artificial Vision (STSIVA)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129846680","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

Multinomial Naive Bayes for real-time gender recognition 基于多项朴素贝叶斯的实时性别识别

2016 XXI Symposium on Signal Processing, Images and Artificial Vision (STSIVA) Pub Date : 2016-08-01 DOI: 10.1109/STSIVA.2016.7743331

Diego Vergara, S. Hernández, Felipe Jorquera

引用次数: 10

Energy optimization for video monitoring system in agricultural areas using single board computer nodes and wireless ad hoc networks 基于单板计算机节点和无线自组织网络的农用视频监控系统能耗优化

2016 XXI Symposium on Signal Processing, Images and Artificial Vision (STSIVA) Pub Date : 2016-08-01 DOI: 10.1109/STSIVA.2016.7743350

Santiago González, T. R. Vargas, P. Arce, J. C. Guerri

{"title":"Energy optimization for video monitoring system in agricultural areas using single board computer nodes and wireless ad hoc networks","authors":"Santiago González, T. R. Vargas, P. Arce, J. C. Guerri","doi":"10.1109/STSIVA.2016.7743350","DOIUrl":"https://doi.org/10.1109/STSIVA.2016.7743350","url":null,"abstract":"This paper presents the design and implementation of a set of prototype nodes that have the ability to establish communication links in ad hoc mode. The prototypes were implemented using low cost, single board computers with embedded Linux (Raspberry Pi devices). The implemented stations aim to set a wireless sensor network for the capture of variables applied to agricultural environments. In particular, a camera module has been included on a node for remote video monitoring of farming zones, and also a GPS module for the capture of geolocation information. Nodes can be accessed remotely by means of the developed web interface. The routing process between nodes is carried out using the S-OLSR mechanism (OLSR modification) in order to set up routes taking into account the energy limitations as well as the location of each device in the topology. Results describe the contribution of this work to the design of monitoring applications on agricultural zones by means of the deployment of autonomous ad hoc nodes and energy routing optimization.","PeriodicalId":373420,"journal":{"name":"2016 XXI Symposium on Signal Processing, Images and Artificial Vision (STSIVA)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127749641","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: 5