2016 35th International Conference of the Chilean Computer Science Society (SCCC)最新文献_第2页

AOLink — Automatic gerenation of refactoring suggestions for aspect-oriented anomalies 自动生成面向方面异常的重构建议

2016 35th International Conference of the Chilean Computer Science Society (SCCC) Pub Date : 2016-10-01 DOI: 10.1109/SCCC.2016.7836059

Renato S. Costa, H. Costa, Paulo Afonso Parreira Júnior

引用次数: 0

Automatic feature selection for desertion and graduation prediction: A chilean case 遗弃和毕业预测的自动特征选择:一个智利案例

2016 35th International Conference of the Chilean Computer Science Society (SCCC) Pub Date : 2016-10-01 DOI: 10.1109/SCCC.2016.7836055

B. Peralta, T. Poblete, L. Caro

引用次数: 6

Towards a multilevel energy saving model for smart cities 迈向智慧城市多层次节能模式

2016 35th International Conference of the Chilean Computer Science Society (SCCC) Pub Date : 2016-10-01 DOI: 10.1109/SCCC.2016.7836037

G. Rostirolla, R. Righi, C. Costa, J. Barbosa

{"title":"Towards a multilevel energy saving model for smart cities","authors":"G. Rostirolla, R. Righi, C. Costa, J. Barbosa","doi":"10.1109/SCCC.2016.7836037","DOIUrl":"https://doi.org/10.1109/SCCC.2016.7836037","url":null,"abstract":"As a result of rural and suburban migration to the cities, urban life has become a significant challenge for citizens and mayors, imposing a huge concern in the sustainable use of resources like energy, water, transportation and housing. Smart cities are the biggest bet to address these challenges efficiently through a real-time monitoring approach which aims to assist in intelligent planning and sustainable urban development. However, to accomplish this monitoring efficiently and to enable the sustainable use of resources, it is necessary an integration between citizens, city devices and the platform where the data is stored and processed. In this context, we are proposing the 3LES model (3 Levels of Energy Saving for Smart Cities), a model that combines data from citizens, city devices and nodes from the processing plataform to offer a multilevel energy saving proposal. 3LES must act transparently without affecting the quality of the services already offered in the city. This paper presents the components of management and monitoring of power consumption at various levels, as well as a model that monitors the energy consumption of elastic cloud applications. The results are promising, with a model that allows the estimation of the energy consumption of elastic applications based on CPU and memory traces with an average and median precision of 97.15% and 97.72%. In addition, we obtained a reduction of more than 90% in the energy spent in public lighting in the city of Rome when analyzing the citizens' location.","PeriodicalId":432676,"journal":{"name":"2016 35th International Conference of the Chilean Computer Science Society (SCCC)","volume":"40 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":"131454890","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

Assessment method of empirical studies in software engineering 软件工程中实证研究的评价方法

2016 35th International Conference of the Chilean Computer Science Society (SCCC) Pub Date : 2016-10-01 DOI: 10.1109/SCCC.2016.7836001

D. Carrizo, J. Manriquez

引用次数: 1

Attention disruption in agent-based modeling of vocabulary formation 基于主体的词汇形成建模中的注意力中断

2016 35th International Conference of the Chilean Computer Science Society (SCCC) Pub Date : 2016-10-01 DOI: 10.1109/SCCC.2016.7836031

J. Vera

引用次数: 0

Sharing knowledge in the environment of a base of technological incubator 科技孵化器基地环境下的知识共享

2016 35th International Conference of the Chilean Computer Science Society (SCCC) Pub Date : 2016-10-01 DOI: 10.1109/SCCC.2016.7836032

Daniel Arruda Noro, Nilza Venturini Zampieri, Caroline Guterres Silva, L. Soares, Jucara Salete Gubiani

{"title":"Sharing knowledge in the environment of a base of technological incubator","authors":"Daniel Arruda Noro, Nilza Venturini Zampieri, Caroline Guterres Silva, L. Soares, Jucara Salete Gubiani","doi":"10.1109/SCCC.2016.7836032","DOIUrl":"https://doi.org/10.1109/SCCC.2016.7836032","url":null,"abstract":"Sharing Knowledge In The Environment Of A Base Of Technological Incubator Nowadays and considering the economic cycles in periods of economic expansion the demand for products and services increases the level of employment and therefore the purchasing power of people resulting in improvement in the quality of peoples and nations. In this context, innovation is a key factor for competitiveness. To do this, organizational learning is crucial to boost the creation of new products and services. This article presents the importance of knowledge management in an organizational environment in order to increase the stock of knowledge, the basis for the creation of idea and implementation of innovation. It is postulated that the facilitation of interaction among employees increases organizational learning, which in turn increases the stock of knowledge through knowledge sharing. The study was conducted in the environment of a technological incubator of a university with its incubated companies. One of the biggest challenges perceived in the study was the use of knowledge and mutual collaboration between incubated for leveraging individual businesses. The study relates that the management of knowledge in conjunction with information technology and resources, enables an environment where knowledge can be created and transmitted thereby strengthening innovation.","PeriodicalId":432676,"journal":{"name":"2016 35th International Conference of the Chilean Computer Science Society (SCCC)","volume":"22 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":"123912617","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

Aspect-oriented business process composition rules in AOP4ST AOP4ST中面向方面的业务流程组合规则

2016 35th International Conference of the Chilean Computer Science Society (SCCC) Pub Date : 2016-10-01 DOI: 10.1109/SCCC.2016.7836009

Fernando Pinciroli

引用次数: 5

SRT — A computational tool for restructuring Java software SRT—用于重组Java软件的计算工具

2016 35th International Conference of the Chilean Computer Science Society (SCCC) Pub Date : 2016-10-01 DOI: 10.1109/SCCC.2016.7836051

Danilo Santos, Paulo Afonso Parreira Júnior, H. Costa

引用次数: 1

Business process analysis in advertising: An extension to a methodology based on process mining projects 广告中的业务流程分析:对基于流程挖掘项目的方法的扩展

2016 35th International Conference of the Chilean Computer Science Society (SCCC) Pub Date : 2016-10-01 DOI: 10.1109/SCCC.2016.7836000

Anibal Silva Osses, Luiz Quelves Da Silva, Bernardita Fernandez Cobo, Michael Arias, Eric Rojas, J. Munoz-Gama, Marcos Sepúlveda Fernadez

引用次数: 6

Evaluation of stacked autoencoders for pedestrian detection 用于行人检测的堆叠自编码器的评价

2016 35th International Conference of the Chilean Computer Science Society (SCCC) Pub Date : 2016-10-01 DOI: 10.1109/SCCC.2016.7836017

B. Peralta, Luis Parra, L. Caro

{"title":"Evaluation of stacked autoencoders for pedestrian detection","authors":"B. Peralta, Luis Parra, L. Caro","doi":"10.1109/SCCC.2016.7836017","DOIUrl":"https://doi.org/10.1109/SCCC.2016.7836017","url":null,"abstract":"Pedestrian detection has multiple applications as video surveillance, automatic driver-assistance systems in vehicles or visual control of access. This task is challenging due to presence of factors such as poor lighting, occlusion or uncertainty in the environment. Deep learning has reached many state-of-art results in visual recognition, where one popular and simple variant is stacked autoencoders. Nonetheless, it is not clear what is the effect of each stacked autoencoders parameter in pedestrian detection performance. In this work, we propose to revise the feature representation for pedestrian detection considering the use of deep learning using stacked autoencoders with a sensitivity analysis of relevant parameters. Additionally, this paper presents a methodology for feature extraction using stacked autoencoders. The experiments show that this model is capable of creating a meaningful visual descriptor for pedestrian detection, which improves the detection performance in comparison to baseline techniques without an optimal setting of parameters. In presence of occlusion or poor people images, we found diffuse and distorted visual patterns. A future avenue is the learning of the degree of noise for improving the generalization capabilities of the learned features.","PeriodicalId":432676,"journal":{"name":"2016 35th International Conference of the Chilean Computer Science Society (SCCC)","volume":"83 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":"122627119","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