Inteligencia Artif.最新文献_第8页

Planning and Scheduling in Additive Manufacturing 增材制造中的计划与调度

Inteligencia Artif. Pub Date : 2018-09-07 DOI: 10.4114/INTARTIF.VOL21ISS62PP40-52

Filip Dvorak, Maxwell Micali, Mathias Mathieug

{"title":"Planning and Scheduling in Additive Manufacturing","authors":"Filip Dvorak, Maxwell Micali, Mathias Mathieug","doi":"10.4114/INTARTIF.VOL21ISS62PP40-52","DOIUrl":"https://doi.org/10.4114/INTARTIF.VOL21ISS62PP40-52","url":null,"abstract":"Recent advances in additive manufacturing (AM) and 3D printing technologies have led to significant growth in the use of additive manufacturing in industry, which allows for the physical realization of previously difficult to manufacture designs. However, in certain cases AM can also involve higher production costs and unique in-process physical complications, motivating the need to solve new optimization challenges. Optimization for additive manufacturing is relevant for and involves multiple fields including mechanical engineering, materials science, operations research, and production engineering, and interdisciplinary interactions must be accounted for in the optimization framework. \u0000In this paper we investigate a problem in which a set of parts with unique configurations and deadlines must be printed by a set of machines while minimizing time and satisfying deadlines, bringing together bin packing, nesting (two-dimensional bin packing), job shop scheduling, and constraints satisfaction. We first describe the real-world industrial motivation for solving the problem. Subsequently, we encapsulate the problem within constraints and graph theory, create a formal model of the problem, discuss nesting as a subproblem, and describe the search algorithm. Finally, we present the datasets, the experimental approach, and the preliminary results.","PeriodicalId":176050,"journal":{"name":"Inteligencia Artif.","volume":"274 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120849234","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: 40

Reglas para predecir el cumplimiento de la calidad del agua residual en una planta tratadora con minería de datos 用数据挖掘预测处理厂废水质量符合性的规则

Inteligencia Artif. Pub Date : 2018-09-07 DOI: 10.4114/intartif.vol21iss62pp13-24

F. C. Martínez, A. Treviño, M. A. Alcorta-Garcia, A. E. Fraire, José Armando Sáenz Esqueda, Julio Gerardo Lozoya Velez

{"title":"Reglas para predecir el cumplimiento de la calidad del agua residual en una planta tratadora con minería de datos","authors":"F. C. Martínez, A. Treviño, M. A. Alcorta-Garcia, A. E. Fraire, José Armando Sáenz Esqueda, Julio Gerardo Lozoya Velez","doi":"10.4114/intartif.vol21iss62pp13-24","DOIUrl":"https://doi.org/10.4114/intartif.vol21iss62pp13-24","url":null,"abstract":"Un problema que enfrentan los organismos operadores de agua, es el cumplimiento de la normatividaden la calidad del agua residual tratada. Por lo que es recomendable implementar estrategias que favorezcan elcumplimiento de las regulaciones. La mineria de datos es una herramienta que permite predecir la calidad del aguaen el efluente de los sistemas de tratamiento. En el presente estudio se propone un criterio para el pre procesado dedatos donde se consideraron variables nominales. Luego se aplico el sistema de mineria de datos (clasificacion)para definir la prediccion de la calidad del agua. Se aplicaron los siguientes clasificadores: OneR; decision tables,J48, arbol de decision de un solo nivel; PART y LMT. Los resultados muestran que el mejor algoritmo fue el J48:87.35 % de instancias correctamente clasificadas. El arbol de decision determino dos reglas para el cumplimientocon la normatividad. Es importante indicar que a la fecha existen procedimientos con mineria de datos parapredecir la calidad del efluente de un sistema de tratamiento, pero utilizan estrictamente variables numericas;mientras que en el presente trabajo se utilizaron variables nominales, finalmente se discuten los resultados y seindican los procesos industriales que generan materia organica y otros contaminantes.","PeriodicalId":176050,"journal":{"name":"Inteligencia Artif.","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134261989","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

The importance of context-dependent learning in negotiation agents 情境依赖学习在谈判代理中的重要性

Inteligencia Artif. Pub Date : 2018-09-01 DOI: 10.4114/intartif.vol22iss63pp135-149

D. Kröhling, O. Chiotti, E. Martínez

{"title":"The importance of context-dependent learning in negotiation agents","authors":"D. Kröhling, O. Chiotti, E. Martínez","doi":"10.4114/intartif.vol22iss63pp135-149","DOIUrl":"https://doi.org/10.4114/intartif.vol22iss63pp135-149","url":null,"abstract":"Automated negotiation between artificial agents is essential to deploy Cognitive Computing and Internet of Things. The behavior of a negotiation agent depends significantly on the influence of environmental conditions or contextual variables, since they affect not only a given agent preferences and strategies, but also those of other agents. Despite this, the existing literature on automated negotiation is scarce about how to properly account for the effect of context-relevant variables in learning and evolving strategies. In this paper, a novel context-driven representation for automated negotiation is introduced. Also, a simple negotiation agent that queries available information from its environment, internally models contextual variables, and learns how to take advantage of this knowledge by playing against himself using reinforcement learning is proposed. Through a set of episodes against other negotiation agents in the existing literature, it is shown using our context-aware agent that it makes no sense to negotiate without taking context-relevant variables into account. Our context-aware negotiation agent has been implemented in the GENIUS environment, and results obtained are significant and quite revealing.","PeriodicalId":176050,"journal":{"name":"Inteligencia Artif.","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117230788","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

Stereo Matching through Squeeze Deep Neural Networks 挤压深度神经网络的立体匹配

Inteligencia Artif. Pub Date : 2018-09-01 DOI: 10.4114/intartif.vol22iss63pp16-38

Gabriel D. Caffaratti, M. Marchetta, R. Forradellas

{"title":"Stereo Matching through Squeeze Deep Neural Networks","authors":"Gabriel D. Caffaratti, M. Marchetta, R. Forradellas","doi":"10.4114/intartif.vol22iss63pp16-38","DOIUrl":"https://doi.org/10.4114/intartif.vol22iss63pp16-38","url":null,"abstract":"Visual depth recognition through Stereo Matching is an active field of research due to the numerous applications in robotics, autonomous driving, user interfaces, etc. Multiple techniques have been developed in the last two decades to achieve accurate disparity maps in short time. With the arrival of Deep Leaning architectures, different fields of Artificial Vision, but mainly on image recognition, have achieved a great progress due to their easier training capabilities and reduction of parameters. This type of networks brought the attention of the Stereo Matching researchers who successfully applied the same concept to generate disparity maps. Even though multiple approaches have been taken towards the minimization of the execution time and errors in the results, most of the time the number of parameters of the networks is neither taken into consideration nor optimized. Inspired on the Squeeze-Nets developed for image recognition, we developed a Stereo Matching Squeeze neural network architecture capable of providing disparity maps with a highly reduced network size without a significant impact on quality and execution time compared with state of the art architectures. In addition, with the purpose of improving the quality of the solution and get solutions closer to real time, an extra refinement module is proposed and several tests are performed using different input size reductions.","PeriodicalId":176050,"journal":{"name":"Inteligencia Artif.","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122638988","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

aPaRT: A Fast Meta-Heuristic Algorithm using Path-Relinking and Tabu Search for Allocating Machines to Operations in FJSP Problem 一种基于路径链接和禁忌搜索的快速元启发式算法在FJSP问题中分配操作的机器

Inteligencia Artif. Pub Date : 2018-05-28 DOI: 10.4114/INTARTIF.VOL21ISS61PP111-123

H. Jazayeriy, Sahar Bakhtar, M. Valinataj

引用次数: 2

Machine Learning-Based Analysis of the Association Between Online Texts and Stock Price Movements 基于机器学习的在线文本与股票价格变动之间关联分析

Inteligencia Artif. Pub Date : 2018-05-09 DOI: 10.4114/INTARTIF.VOL21ISS61PP95-110

F. Dařena, Jonás Petrovský, J. Zizka, J. Prichystal

引用次数: 4

The Pattern Recognition in Cattle Brand using Bag of Visual Words and Support Vector Machines Multi-Class 基于视觉词袋和支持向量机的牛品牌模式识别

Inteligencia Artif. Pub Date : 2018-03-21 DOI: 10.4114/INTARTIF.VOL21ISS61PP1-13

Carlos Silva, D. Welfer, Cláudia Dornelles

引用次数: 1

Exploring the impact of word embeddings for disjoint semisupervised Spanish verb sense disambiguation 探讨词嵌入对不连贯半监督西班牙语动词义消歧的影响

Inteligencia Artif. Pub Date : 2018-03-21 DOI: 10.4114/INTARTIF.VOL21ISS61PP67-81

Cristian Cardellino, L. A. Alemany

引用次数: 2

Comparing detection and disclosure of traffic incidents in social networks: an intelligent approach based on Twitter vs. Waze 比较社交网络中交通事件的检测和披露:基于Twitter和Waze的智能方法

Inteligencia Artif. Pub Date : 2018-03-01 DOI: 10.4114/INTARTIF.VOL21ISS61PP47-66

Sebastián Vallejos, Brian Caimmi, D. Alonso, Luis Berdún, Á. Soria

{"title":"Comparing detection and disclosure of traffic incidents in social networks: an intelligent approach based on Twitter vs. Waze","authors":"Sebastián Vallejos, Brian Caimmi, D. Alonso, Luis Berdún, Á. Soria","doi":"10.4114/INTARTIF.VOL21ISS61PP47-66","DOIUrl":"https://doi.org/10.4114/INTARTIF.VOL21ISS61PP47-66","url":null,"abstract":"Nowadays, social networks have become in a communication medium widely used to disseminate any type of information. In particular, the shared information in social networks usually includes a considerable number of traffic incidents reports of specific cities. In light of this, specialized social networks have emerged for detecting and disseminating traffic incidents, differentiating from generic social networks in which a wide variety of topics are communicated. In this context, Twitter is a case in point of a generic social network in which its users often share information about traffic incidents, while Waze is a social network specialized in traffic. In this paper we present a comparative study between Waze and an intelligent approach that detects traffic incidents by analyzing publications shared in Twitter. The comparative study was carried out considering Ciudad Autonoma de Buenos Aires (CABA), Argentina, as the region of interest. The results of this work suggest that both social networks should be considered as complementary sources of information. This conclusion is based on the fact that the proportion of mutual detections, i.e. traffic incidents detected by both approaches, was considerably low since it did not exceed 6% of the cases. Moreover, the results do not show that any of the approaches tend to anticipate in time to the other one in the detection of traffic incidents.","PeriodicalId":176050,"journal":{"name":"Inteligencia Artif.","volume":"9 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129623282","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 Novel adaptative Discrete Cuckoo Search Algorithm for parameter optimization in computer vision 一种新的用于计算机视觉参数优化的自适应离散布谷鸟搜索算法

Inteligencia Artif. Pub Date : 2017-10-17 DOI: 10.4114/INTARTIF.VOL20ISS60PP51-71

L. Benchikhi, M. Sadgal, A. E. Fazziki, Fatimaezzahra Mansouri

引用次数: 5