2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI)最新文献_第3页

Image Processing Based Classification of Enzymatic Browning in Chopped Apples 基于图像处理的切碎苹果酶促褐变分类

2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI) Pub Date : 2018-07-01 DOI: 10.1109/IWOBI.2018.8464181

Monika Arora, M. Dutta, C. Travieso-González, Radim Burget

引用次数: 3

Camera Localization in Outdoor Garden Environments Using Artificial Landmarks 室外花园环境中使用人工地标的摄像机定位

2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI) Pub Date : 2018-07-01 DOI: 10.1109/IWOBI.2018.8464139

N. Strisciuglio, María Leyva-Vallina, N. Petkov, R. Muñoz-Salinas

引用次数: 2

Analysis of Content-Aware Image Compression with VGG16 基于VGG16的内容感知图像压缩分析

2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI) Pub Date : 2018-07-01 DOI: 10.1109/IWOBI.2018.8464188

Alen Selimović, Blaž Meden, P. Peer, A. Hladnik

{"title":"Analysis of Content-Aware Image Compression with VGG16","authors":"Alen Selimović, Blaž Meden, P. Peer, A. Hladnik","doi":"10.1109/IWOBI.2018.8464188","DOIUrl":"https://doi.org/10.1109/IWOBI.2018.8464188","url":null,"abstract":"Content-aware compression based on the use of saliency maps aims to improve the interpretability of an image by encoding the more relevant image regions with a higher quality than the rest of the image. This paper revisits two convolutional neural network (CNN) models based on VGG16, multi-structure region of interest (MS-ROI) and class activation map (CAM), which enable the localization of salient image regions. While the MS-ROI model allows for the localization of multiple salient image regions, the CAM model, on the other hand, tends to localize only the most relevant class. We use the contextual information provided by the obtained saliency maps to guide the compression. By encoding more important image regions at a higher bitrate and less important ones at a lower bitrate, different qualities of compression for the regions of interest and the background are obtained, while also achieving smooth transitions from salient to non-salient regions. The performance of both models is evaluated on images from the MIT Saliency Benchmark dataset and the General-100 dataset, and the results of the compression are compared to the standard JPEG compression at different quality factors. Experimental results show that for the files of approximately same size, the compression methods based on the two CNN models outperform the standard JPEG compression. When comparing the compression based on the MS-ROI model to the compression based on the CAM model, the former is characterized by a higher PSNR and a better visual quality of the obtained images.","PeriodicalId":127078,"journal":{"name":"2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125954878","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: 12

Comparison of Bio-Inspired Algorithms From The Point of View of Medical Image Segmentation 从医学图像分割的角度比较仿生算法

2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI) Pub Date : 2018-07-01 DOI: 10.1109/IWOBI.2018.8464218

G. Wachs-Lopes, Fernanda S. Beltrame, R. M. Santos, P. Rodrigues

{"title":"Comparison of Bio-Inspired Algorithms From The Point of View of Medical Image Segmentation","authors":"G. Wachs-Lopes, Fernanda S. Beltrame, R. M. Santos, P. Rodrigues","doi":"10.1109/IWOBI.2018.8464218","DOIUrl":"https://doi.org/10.1109/IWOBI.2018.8464218","url":null,"abstract":"As new technological challenges depending on the computational performance of bio-inspired algorithms emerge, the demand for more efficient heuristic solutions grows up at same rate. Specifically, the medical field is one of the most challenging, due to the fact of the pre-processing steps, such as multilevel segmentation of color spaces, require greater precision. Thus, many algorithms inspired by natural behavior have emerged successfully aiming to find approximate solutions compatible with optimal ones, but with much higher performance in terms of computational time. Although they perform well, some of these newer algorithms have not yet been analyzed from their practical applicability in one or more medical databases. This paper presents a comparative study from a practical point of view of three of these new algorithms: Cuckoo Search (CS), KH (Krill Herd) and EHO (Elephant Herd Optimization). Our results suggest that these three algorithms are compatible in terms of performance in medical databases, but with EHO showing the best performance among all three.","PeriodicalId":127078,"journal":{"name":"2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127964264","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

Detection of ERV-Derived Transcripts in Human Testis Using High Throughput Sequencing: Pipeline for Annotation and Genomic Localization 利用高通量测序检测人类睾丸中erv衍生转录本:用于注释和基因组定位的管道

2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI) Pub Date : 2018-07-01 DOI: 10.1109/IWOBI.2018.8464183

Rebeca Campos-Sánchez, I. Sandoval-Carvajal

引用次数: 1

An Object Manipulation System Architecture for Humanoid Robots Based on Primate Cognition 基于灵长类动物认知的类人机器人对象操作系统架构

2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI) Pub Date : 2018-07-01 DOI: 10.1109/IWOBI.2018.8464221

Daniel García-Vaglio, Federico Ruiz-Ugalde

{"title":"An Object Manipulation System Architecture for Humanoid Robots Based on Primate Cognition","authors":"Daniel García-Vaglio, Federico Ruiz-Ugalde","doi":"10.1109/IWOBI.2018.8464221","DOIUrl":"https://doi.org/10.1109/IWOBI.2018.8464221","url":null,"abstract":"Currently one of the most important challenges is to bring robots out of factory floors to work alongside humans. Because these environments are characterized by a very large variety of objects, a key factor is to provide them with better adaptive object manipulation skills. This means that robots are required to connect, in a meaningful way, a high level task to the robot body movements. Understanding the objects at a physical level can give a robot a connecting mechanism to the higher level system. A previous experiment showed that a robot can skillfully manipulate an object if it is provided with the right mathematical models and controllers [1]. We want to expand this experiment by creating a system that can generalize this type of object manipulation capabilities to many more objects and tasks. In this paper we propose an architecture that helps bridge this gap by using insights from primate cognition. This system enables robots to handle more objects, deal better with tools, and facilitate the process of reasoning about actions and their expected outcomes. We exercised our implementation with some simple testing object models, and were able to corroborate its proper behavior under the proposed circumstances.","PeriodicalId":127078,"journal":{"name":"2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126493756","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

A Systems Biology Approach to Identify Candidate Targets to Downregulate Angiogenic Gene Expression in Cancer 肿瘤血管生成基因表达下调候选靶点的系统生物学方法

2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI) Pub Date : 2018-07-01 DOI: 10.1109/IWOBI.2018.8464137

Calderon-Gomez Paola, Man-Sai Aeón-Chan, R. Mora-Rodríguez

{"title":"A Systems Biology Approach to Identify Candidate Targets to Downregulate Angiogenic Gene Expression in Cancer","authors":"Calderon-Gomez Paola, Man-Sai Aeón-Chan, R. Mora-Rodríguez","doi":"10.1109/IWOBI.2018.8464137","DOIUrl":"https://doi.org/10.1109/IWOBI.2018.8464137","url":null,"abstract":"The control of angiogenesis in cancer has been recognized as a promising therapeutic target for many diseases like cancer. Specifically, the Angiopoietin-2 - Vascular Endothelial Growth Factor system has demonstrated special relevance in the regulation of angiogenesis, highlighting the importance of the complex coordination among vascular signaling molecules [3] for the identification of targets for future anti-angiogenic therapy. Current approaches to regulate the angiogenesis process focus their efforts only on VEGF regulation but this has proven ineffective in many kinds of cancer, prompting the need for further understanding of how the vasculature can be effectively targeted in tumors [9]. Given the complex properties of gene expression in this process, a Systems Biology approach is required to identify putative candidates to robustly regulate genes involved in angiogenesis. We propose a model with candidate targets to downregulate the angiogenic genes expression. We identified a strong regulation of the AKT1-ANGPT2-KDR axis by miR200B and miR200C. Also, we identified a strong regulation of SRC by miR34a. These candidate miRNAs could therefore have a potential for the development of novel therapeutic strategies against angiogenesis in cancer.","PeriodicalId":127078,"journal":{"name":"2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128172305","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

Xylem Vessels Segmentation Through a Deep Learning Approach: a First Look 通过深度学习方法分割木质部血管:第一眼

2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI) Pub Date : 2018-07-01 DOI: 10.1109/IWOBI.2018.8464184

Á. García-Pedrero, A. García‐Cervigón, Cristina Caetano, S. C. Ramírez, J. M. Olano, C. Gonzalo-Martín, M. Lillo-Saavedra, M. García-Hidalgo

{"title":"Xylem Vessels Segmentation Through a Deep Learning Approach: a First Look","authors":"Á. García-Pedrero, A. García‐Cervigón, Cristina Caetano, S. C. Ramírez, J. M. Olano, C. Gonzalo-Martín, M. Lillo-Saavedra, M. García-Hidalgo","doi":"10.1109/IWOBI.2018.8464184","DOIUrl":"https://doi.org/10.1109/IWOBI.2018.8464184","url":null,"abstract":"Xylem is a vascular tissue that conveys water and dissolved minerals from the roots to the rest of the plant and also provides physical support. The most important cells present in xylem are called vessels. These cells are arranged to form long pipes that carry water through the tree. The identification, counting and subsequent characterization of xylem vessels is essential for monitoring tree health and its relationship with climatic conditions. Although automatic and semi-automatic image processing tools are available to analyze the structure of xylem at the cellular level, they usually require the supervision of an expert to obtain optimal segmentation, making it a highly time-consuming process. To overcome this limitation, a Convolutional Neural Network model was used to process digital images of 23 branch sections in order to segment the xylem vessels. The obtained results were compared with other two classical methods, Otsu's thresholding method, and an active contour method known as Chan-Vese segmentation algorithm. The obtained results show the potential of convolutional neural networks to overcome aspects such as non-homogeneous illumination of images, where conventional methods tend to obtain unsatisfactory results.","PeriodicalId":127078,"journal":{"name":"2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124282242","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: 8

Identification of the Internal Resistance in Solar Modules Under Dark Conditions Using Differential Evolution Algorithm 基于差分进化算法的黑暗条件下太阳能组件内阻辨识

2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI) Pub Date : 2018-07-01 DOI: 10.1109/IWOBI.2018.8464197

L. D. Murillo-Soto, Geovanni Figueroa-Mata, Carlos Meza

引用次数: 4

Goniometry-based Glitch-Correction Algorithm for Optical Motion Capture Data 基于角度测量的光学运动捕捉数据差错校正算法

2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI) Pub Date : 2018-07-01 DOI: 10.1109/IWOBI.2018.8464198

M. Castresana, Francisco Siles

引用次数: 2