2016 Fifteenth Mexican International Conference on Artificial Intelligence (MICAI)最新文献_第2页

Solving the Container Pre-Marshalling Problem Using Artificial Bee Colony Algorithm 用人工蜂群算法求解容器预编组问题

2016 Fifteenth Mexican International Conference on Artificial Intelligence (MICAI) Pub Date : 2016-10-01 DOI: 10.1109/MICAI-2016.2016.00026

Ricardo Soto, Broderick Crawford, Cristian Galleguillos, C. Montiel, Rodrigo Olivares, G. Cabrera

引用次数: 1

Medical Consultancy on Cloud 云医疗咨询

2016 Fifteenth Mexican International Conference on Artificial Intelligence (MICAI) Pub Date : 2016-10-01 DOI: 10.1109/MICAI-2016.2016.00030

Imran Mujaddid Rabbani, M. Aslam, A. Enríquez

{"title":"Medical Consultancy on Cloud","authors":"Imran Mujaddid Rabbani, M. Aslam, A. Enríquez","doi":"10.1109/MICAI-2016.2016.00030","DOIUrl":"https://doi.org/10.1109/MICAI-2016.2016.00030","url":null,"abstract":"The health services are vital in every society either for humans, animals, or plants. Technically developed zones have better infrastructures for medical facilities whereas developing and under-developing regions, especially remote areas, lacking basic health services to people. Especially, in case of newly born babies and life threatening chronic diseases, the cost of consultancy services are far beyond the common person. Even though, with the engagement of paramedical staff, patients are unable to approach them because of remoteness, strikes, curfews, especially late at nights. On the other hand, modern techniques (mobile, androids, etc.) and internet services are very popular in the recent times and are within the access of every one. These modern gadgets can be utilized to improve the quality of health treatment and strengthens the overall access of medical care. Remote medical consultancy through cloud can plays important role in this regard. Providing health services through mobile agents at nominal expense will raise the over-all standard of e-health. We present medical consultancy on clouds by introducing Physician Agent who provides services in remote areas on behalf of physicians / doctors. The intention is to provide disease diagnostics along with prescription through expert opinions using agent based cloud service. The services are provided in user native language and the remedy consists of locally available medicines (like allopathic, homeopathic, and herbal).","PeriodicalId":405503,"journal":{"name":"2016 Fifteenth Mexican International Conference on Artificial Intelligence (MICAI)","volume":"149 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132402472","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

Deformation and Residual Stress Based Multi-Objective Genetic Algorithm for Welding Sequence Optimization 基于变形和残余应力的焊接顺序优化多目标遗传算法

2016 Fifteenth Mexican International Conference on Artificial Intelligence (MICAI) Pub Date : 2016-10-01 DOI: 10.1109/MICAI-2016.2016.00021

Jesus Romero-Hdz, G. Toledo-Ramirez, B. Saha

{"title":"Deformation and Residual Stress Based Multi-Objective Genetic Algorithm for Welding Sequence Optimization","authors":"Jesus Romero-Hdz, G. Toledo-Ramirez, B. Saha","doi":"10.1109/MICAI-2016.2016.00021","DOIUrl":"https://doi.org/10.1109/MICAI-2016.2016.00021","url":null,"abstract":"Compared to deformation, residual stress has not been taken into account in the literature when it comes to welding process optimization. It also plays an important role to measure the weld quality. This paper reports the implementation of a multi-objective based Genetic Algorithm (GA) for welding sequence optimization, in which both structural deformation and residual stress are offered equal importance. The optimal weights between them are dynamically selected through optimizing a multi-objective fitness function in an iterative manner. A thermomechanical finite element analysis (FEA) was used to predict both deformation and residual stress. We chose the elitism selection approach to ensure that the three best individuals are copied over once into the next generation to facilitate convergence by preserving good candidates which can offer an optimal solution. We exploited a sequential string searching algorithm into single point crossover method to avoid the repetition of single beads into the sequence. We utilized a bit string mutation operator by changing the direction of the welding from one bead chosen randomly from the sequence. Welding simulation experiments were conducted on a typical widely used mounting bracket which has eight seams. Multi-objective based GA effectively reduces the computational complexity over exhaustive search with significant reduction of both structural deformation (~80%) and residual stress (~15%)","PeriodicalId":405503,"journal":{"name":"2016 Fifteenth Mexican International Conference on Artificial Intelligence (MICAI)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129624832","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

An Unsupervised Approach for Automatic Discovery of Metadata in Document Images 文档图像中元数据自动发现的无监督方法

2016 Fifteenth Mexican International Conference on Artificial Intelligence (MICAI) Pub Date : 2016-10-01 DOI: 10.1109/MICAI-2016.2016.00009

Carlos Morales-Solares, Gerardo E Sierra, B. Escalante-Ramírez

{"title":"An Unsupervised Approach for Automatic Discovery of Metadata in Document Images","authors":"Carlos Morales-Solares, Gerardo E Sierra, B. Escalante-Ramírez","doi":"10.1109/MICAI-2016.2016.00009","DOIUrl":"https://doi.org/10.1109/MICAI-2016.2016.00009","url":null,"abstract":"The visual information contained in documents provides a rich set of features that can be exploited to increase its understanding. The typography, design or lexical properties of text constitute the clues that help us identify at a glance those data from other. In this paper, we present a methodology to identify, extract and automatically classify the metadata of the document covers. A problem associated with metadata discovery is the processing of the original document format. We propose the combination of two methods, maximally stable extremal regions (MSER) for detecting text in cover images with complex background, and conditional random fields (CRF) for logical labeling elements in the document. We show a selected set of visual and linguistic features used to train our model. As a necessary proof of concept we incorporated the methods in a desktop application and we executed some interesting examples. Preliminary results show a performance improvement in text recognition regarding traditional methods of metadata extraction for document images. In particular, a problem that we seek to solve is the ambiguity between the book title and the author.","PeriodicalId":405503,"journal":{"name":"2016 Fifteenth Mexican International Conference on Artificial Intelligence (MICAI)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121816190","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

Towards an Automatic Generation of a Proverbs Bank for Neurological Studies 迈向神经学研究箴言库的自动生成

2016 Fifteenth Mexican International Conference on Artificial Intelligence (MICAI) Pub Date : 2016-10-01 DOI: 10.1109/MICAI-2016.2016.00011

Gemma Bel Enguix, Gerardo E Sierra, Alejandro Dorantes, Alejandro Pimentel, Alan Carrillo, M. Giordano

引用次数: 0

A Study on Pattern-Based Spectral Clustering Methods in DWN DWN中基于模式的谱聚类方法研究

2016 Fifteenth Mexican International Conference on Artificial Intelligence (MICAI) Pub Date : 2016-10-01 DOI: 10.1109/MICAI-2016.2016.00019

Mehdi Sadeghi-Moghadam, Hamideh Haghparast, Seyed Abdolhamed Hoseinpour

引用次数: 0

Artificial Neural Networks to Predict Regulation between Smad7 and miRNA on Breast Cancer 人工神经网络预测Smad7和miRNA在乳腺癌中的调节作用

2016 Fifteenth Mexican International Conference on Artificial Intelligence (MICAI) Pub Date : 2016-10-01 DOI: 10.1109/MICAI-2016.2016.00029

Edgar Manzanarez-Ozuna, D. Flores, David Cervantes, Everardo Gutiérrez López

引用次数: 0

Non-Human Subject as Discriminating Feature in Opinion Mining and Subjectivity Analysis 非人主体作为意见挖掘与主体性分析的判别特征

2016 Fifteenth Mexican International Conference on Artificial Intelligence (MICAI) Pub Date : 2016-10-01 DOI: 10.1109/MICAI-2016.2016.00012

Octavio Sánchez, Julieta Itzel Angeles-Chargoy

引用次数: 0

An Improved Automated Definition Extraction Method Based on Lexicographic and Lexico-Semantic Features 一种基于词典学和词典语义特征的改进自动定义提取方法

2016 Fifteenth Mexican International Conference on Artificial Intelligence (MICAI) Pub Date : 2016-10-01 DOI: 10.1109/MICAI-2016.2016.00013

Alejandro Pimentel, Gerardo E Sierra, Claudio Molina

引用次数: 0

Fast Dynamic Time Warping Feature Extraction for EEG Signal Classification 用于脑电信号分类的快速动态时间翘曲特征提取

2016 Fifteenth Mexican International Conference on Artificial Intelligence (MICAI) Pub Date : 2016-10-01 DOI: 10.1109/MICAI-2016.2016.00031

Hiram Calvo, J. Paredes, J. Figueroa-Nazuno

引用次数: 1