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Derivation of Mean Value Coordinates Using Interior Distance and Their Application on Mesh Deformation 利用内距求取均值坐标及其在网格变形中的应用
Pub Date : 2018-07-17 DOI: 10.22456/2175-2745.76189
Lis Custódio, S. Pesco
The deformation methods based on cage controls became a subject of considerable interest due its simplicity and intuitive results. In this technique, the model is enclosed within a simpler mesh (the cage) and its points are expressed as function of the cage elements. Then, by manipulating the cage, the respective deformation is obtained on the model in its interior.In this direction, in the last years, extensions of barycentric coordinates, such as Mean Value coordinates, Positive Mean Value Coordinates, Harmonic coordinates and Green's coordinates, have been proposed to write the points of the model as a function of the cage elements.The Mean Value coordinates, proposed by Floater in two dimensions and extended later to three dimensions by Ju et al. and also by Floater, stands out from the other coordinates because of their simple derivation. However the existence of negative coordinates in regions bounded by non-convex cage control results in a unexpected behavior of the deformation in some regions of the model.In this work, we propose a modification in the derivation of Mean Value Coordinates proposed by Floater. Our derivation maintains the simplicity of the construction of the coordinates and eliminates the undesired behavior in the deformation by diminishing the negative influence of a control vertex on regions ofthe model not related to it. We also compare the deformation generated with our coordinates and the deformations obtained with the original Mean Value coordinates and Harmonic coordinates.
基于笼形控制的变形方法由于其简单和直观的结果而成为一个相当感兴趣的主题。在这种技术中,模型被封闭在一个更简单的网格(笼)中,其点被表示为笼元素的函数。然后,通过操纵笼,得到笼内模型的相应变形。在这个方向上,近年来提出了重心坐标的扩展,如均值坐标、正均值坐标、调和坐标和格林坐标,将模型的点写成笼形元素的函数。均值坐标由Floater在二维空间提出,后来由Ju等人以及Floater将其扩展到三维空间。均值坐标因其推导简单而从其他坐标中脱颖而出。然而,在非凸笼控制区域中存在负坐标会导致模型的某些区域出现非预期的变形行为。在这项工作中,我们提出了对Floater提出的中值坐标的推导的修正。我们的推导保持了坐标构造的简单性,并通过减少控制顶点对与之无关的模型区域的负面影响来消除变形中的不良行为。我们还比较了用我们的坐标和用原始的均值坐标和谐波坐标得到的变形。
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引用次数: 0
A Genetic Programming Model for Association Studies to Detect Epistasis in Low Heritability Data 一个用于关联研究的遗传规划模型在低遗传率数据中检测上位性
Pub Date : 2018-07-17 DOI: 10.22456/2175-2745.79333
Igor Magalhães Ribeiro, C. Borges, Bruno Zonovelli Silva, W. Arbex
The genome-wide associations studies (GWAS) aims to identify the most influential markers in relation to the phenotype values. One of the substantial challenges is to find a non-linear mapping between genotype and phenotype, also known as epistasis, that usually becomes the process of searching and identifying functional SNPs more complex. Some diseases such as cervical cancer, leukemia and type 2 diabetes have low heritability. The heritability of the sample is directly related to the explanation defined by the genotype, so the lower the heritability the greater the influence of the environmental factors and the less the genotypic explanation. In this work, an algorithm capable of identifying epistatic associations at different levels of heritability is proposed. The developing model is a aplication of genetic programming with a specialized initialization for the initial population consisting of a random forest strategy. The initialization process aims to rank the most important SNPs increasing the probability of their insertion in the initial population of the genetic programming model. The expected behavior of the presented model for the obtainment of the causal markers intends to be robust in relation to the heritability level. The simulated experiments are case-control type with heritability level of 0.4, 0.3, 0.2 and 0.1 considering scenarios with 100 and 1000 markers. Our approach was compared with the GPAS software and a genetic programming algorithm without the initialization step. The results show that the use of an efficient population initialization method based on ranking strategy is very promising compared to other models.
全基因组关联研究(GWAS)旨在确定与表型值相关的最具影响力的标记。其中一个重大挑战是找到基因型和表型之间的非线性映射,也称为上位性,这通常使搜索和识别功能snp的过程变得更加复杂。一些疾病如宫颈癌、白血病和2型糖尿病的遗传率很低。样本的遗传力与基因型定义的解释直接相关,因此遗传力越低,环境因素的影响越大,基因型解释越少。在这项工作中,提出了一种能够识别不同遗传水平的上位关联的算法。该模型是遗传规划的一种应用,对由随机森林策略组成的初始种群进行了专门的初始化。初始化过程旨在对最重要的snp进行排序,增加其在遗传规划模型初始种群中的插入概率。所提出的获得因果标记的模型的预期行为在遗传水平方面是稳健的。模拟实验为病例对照型,遗传力水平分别为0.4、0.3、0.2和0.1,分别考虑100和1000个标记的情景。将该方法与GPAS软件和不带初始化步骤的遗传规划算法进行了比较。结果表明,与其他模型相比,采用基于排序策略的高效种群初始化方法是很有前途的。
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引用次数: 1
Relative Scalability of NoSQL Databases for Genotype Data Manipulation 基因型数据操作中NoSQL数据库的相对可扩展性
Pub Date : 2018-07-17 DOI: 10.22456/2175-2745.79334
Arthur Lorenzi, V. Schettino, Thiago Jesus Rodrigues Barbosa, P. F. Freitas, Pedro Gabriel Silva Guimarães, W. Arbex
Genotype data manipulation is one of the greatest challenges in bioinformatics and genomics mainly because of high dimensionality and unbalancing characteristics. These peculiarities explains why Relational Database Management Systems (RDBMSs), the "de facto" standard storage solution, have not been presented as the best tools for this kind of data. However, Big Data has been pushing the development of modern database systems that might be able to overcome RDBMSs deficiencies. In this context, we extended our previous works on the evaluation of relative performance among NoSQLs engines from different families, adapting the schema design in order to achieve better performance based on its conclusions, thus being able to store more SNP markers for each individual. Using Yahoo! Cloud Serving Benchmark (YCSB) benchmark framework, we assessed each database system over hypothetical SNP sequences. Results indicate that although Tarantool has the best overall throughput, MongoDB is less impacted by the increase of SNP markers per individual.
基因型数据的高维性和不平衡性是生物信息学和基因组学研究面临的最大挑战之一。这些特性解释了为什么关系数据库管理系统(rdbms)——“事实上的”标准存储解决方案——没有作为这类数据的最佳工具出现。然而,大数据一直在推动现代数据库系统的发展,这些系统可能能够克服rdbms的缺陷。在这种情况下,我们扩展了之前关于不同家族nosql引擎之间相对性能评估的工作,根据结论调整模式设计以获得更好的性能,从而能够为每个个体存储更多的SNP标记。使用雅虎云服务基准(YCSB)基准框架,我们在假设的SNP序列上评估每个数据库系统。结果表明,尽管Tarantool具有最佳的总体吞吐量,但MongoDB受单个SNP标记增加的影响较小。
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引用次数: 1
Video Conferencing Evaluation Considering Scalable Video Coding and SDN Network 考虑可扩展视频编码和SDN网络的视频会议评估
Pub Date : 2018-07-17 DOI: 10.22456/2175-2745.79310
Francisco Oliveira, E. Tavares, E. Sousa, B. Nogueira
Video conferencing is very common nowadays, and it may contemplate heterogenous devices (e.g., smartphones, notebooks, game consoles) and networks in the same session. Developing video conferencing systems for this myriad of devices with different capabilities requires special attention from system designer. Scalable video coding (SVC) is a prominent option to mitigate this heterogeneity issue, but traditional Internet protocol (IP) networks may not fully benefit from such a technology. In contrast, software-defined networking (SDN) may allow better utilization of SVC and improvements on video conferencing components. This paper evaluates the performance of video conferencing systems adopting SVC, SDN and ordinary IP networks, taking into account throughput, delay and peak signal-to-noise ratio (PSNR) as the metrics of interest. The experiments are based on Mininet framework and distinct network infrastructures are also considered. Results indicate SDN with SVC may deliver better video quality with reduced delay and increased throughput.
视频会议现在非常普遍,它可能在同一会话中考虑异构设备(例如,智能手机,笔记本电脑,游戏机)和网络。为这无数具有不同功能的设备开发视频会议系统需要系统设计者的特别关注。可伸缩视频编码(SVC)是缓解这种异构性问题的一个重要选择,但传统的互联网协议(IP)网络可能无法从这种技术中充分受益。相比之下,软件定义网络(SDN)可以更好地利用SVC并改进视频会议组件。本文以吞吐量、延迟和峰值信噪比(PSNR)为指标,对采用SVC、SDN和普通IP网络的视频会议系统的性能进行了评估。实验基于Mininet框架,并考虑了不同的网络基础结构。结果表明,SDN与SVC可以提供更好的视频质量,减少延迟和提高吞吐量。
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引用次数: 0
Use of cytomorphometry for classification of subcellular patterns in 3D images 使用细胞形态测定法对三维图像中的亚细胞模式进行分类
Pub Date : 2018-07-17 DOI: 10.22456/2175-2745.80598
Eduardo Henrique Silva, Jefferson R. Souza, B. Travençolo
This paper presents a methodology for the classification of subcellular patterns by the extraction of cytomorphometric features in 3D isosurfaces. In order to validate the proposal, we used a database of 3D images of HeLa cells with nine classes. For each cell, several morphological attributes were extracted based on its isosurface. Using the Quadratic Discriminant Analysis (QDA) classifier with the hybrid attribute selector, we achieved 97.59 of accuracy and F1-score of 0.9757 when classifying the subcellular patterns.
本文提出了一种方法,为亚细胞模式的分类提取细胞形态特征的三维等值面。为了验证这一建议,我们使用了HeLa细胞的9类三维图像数据库。对于每个细胞,基于其等值面提取若干形态属性。采用混合属性选择器的二次判别分析(Quadratic Discriminant Analysis, QDA)分类器对亚细胞模式进行分类,准确率达到97.59,f1得分为0.9757。
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引用次数: 0
Análise Autônoma de Investimento: Uma Abordagem Multiagente Discreta 自主投资分析:一种离散的多主体方法
Pub Date : 2018-02-18 DOI: 10.22456/2175-2745.74992
Paulo André Lima de Castro, Ronald Annoni Junior, Jaime Simão Sichman
Desde os primeiros dias da ciencia da computacao, os pesquisadores se perguntam onde esta a linha que separa as tarefas que maquinas podem fazer, daquelas que apenas seres humanos podem realizar. Varias tarefas foram apontadas como impossiveis para as maquinas e mais tarde conquistadas por novos avancos na Inteligencia Artificial. Hoje em dia, parece que nao estamos longe do dia em que a conducao de carros sera incluida nas tarefas que as maquinas podem fazer de maneira eficiente. Certamente, atividades ainda mais complexas serao dominadas por maquinas no futuro. Neste artigo, argumentamos que a analise de investimentos, o processo de avaliacao e selecao de investimentos em termos de risco e retorno podem estar entre as tarefas executadas de forma eficiente por maquinas em futuro talvez nao distante. Na verdade, ha esforcos de pesquisa significativos para criar algoritmos e metodos quantitativos para analisar investimentos. Apresentamos uma breve revisao sobre eles. Atraves desta revisao, podemos perceber que ha muitos desafios e complexidades a serem enfrentados na busca de analise autonoma de investimentos (AAI). Neste artigo, propomos uma abordagem para simplificar o problema de analise autonoma de investimentos capaz de tratar com as complexidades identificadas (natureza dos ativos, algoritmos de analise multipla por ativo, nao estacionaridade e multiplos horizonte de investimento). Esta abordagem baseia-se no uso simultâneo de diversos agentes autonomos e na discretizacao do problema AAI e sua modelagem como um problema de classificacao. Essa abordagem quebra a complexidade enfrentada pela AAI em problemas que podem ser abordados por um grupo de agentes que trabalham em conjunto para fornecer conselhos de investimento inteligentes e personalizados para individuos. Apresentamos uma implementacao dessa abordagem e resultados obtidos atraves de seu uso com dados historicos do mercado de capitais brasileiro. Acreditamos que tal abordagem pode contribuir para o desenvolvimento de AAI. Alem disso, esta abordagem permite a incorporacao de algoritmos e tecnicas ja conhecidas que podem ajudar a resolver parte do problema.
从计算科学的早期开始,研究人员就想知道机器能做的任务和只有人类能做的任务之间的分界线在哪里。一些任务被认为是机器不可能完成的,后来被人工智能的新进步所征服。今天,我们似乎离把汽车驾驶纳入机器可以有效完成的任务的日子不远了。当然,更复杂的活动在未来将由机器主导。在这篇文章中,我们认为投资分析,从风险和回报的角度评估和选择投资的过程可能是机器在不久的将来有效执行的任务之一。事实上,他在创建分析投资的算法和定量方法方面做了大量的研究。以下是对它们的简要回顾。通过这篇综述,我们可以认识到,在寻求自主投资分析(iaa)时,有许多挑战和复杂性需要面对。在本文中,我们提出了一种简化自主投资分析问题的方法,能够处理已识别的复杂性(资产性质、每资产多重分析算法、非平稳性和多重投资地平线)。该方法基于同时使用多个自主代理,并将AAI问题离散化,并将其建模为分类问题。这种方法将AAI面临的复杂性分解为问题,这些问题可以由一组代理共同解决,为个人提供聪明的、个性化的投资建议。我们提出了这种方法的实现和通过使用巴西资本市场的历史数据获得的结果。我们相信,这种方法可以促进人工智能的发展。此外,这种方法允许结合已知的算法和技术,可以帮助解决部分问题。
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引用次数: 0
A Multi-objective Version of the Lin-Kernighan Heuristic for the Traveling Salesman Problem 旅行商问题的多目标Lin-Kernighan启发式
Pub Date : 2018-02-18 DOI: 10.22456/2175-2745.76452
Emerson B. de Carvalho, E. Goldbarg, M. Goldbarg
The Lin and Kernighan’s algorithm for the single objective Traveling Salesman Problem (TSP) is one of the most efficient heuristics for the symmetric case. Although many algorithms for the TSP were extended to the multi-objective version of the problem (MTSP), the Lin and Kernighan’s algorithm was still not fully explored. Works that applied the Lin and Kernighan’s algorithm for the MTSP were driven to weighted sum versions of the problem. We investigate the LK from a Pareto dominance perspective. The multi-objective LK was implemented within two local search schemes and applied to 2 to 4-objective instances. The results  showed that the proposed algorithmic variants obtained better results than a state-of-the-art algorithm.
求解单目标旅行商问题(TSP)的Lin和Kernighan算法是对称情况下最有效的启发式算法之一。尽管针对TSP的许多算法被扩展到问题的多目标版本(MTSP),但Lin和Kernighan的算法仍然没有得到充分的探索。将Lin和Kernighan的算法应用于MTSP的作品被驱动为问题的加权和版本。我们从帕累托优势的角度来研究LK。在两种局部搜索方案中实现多目标LK,并应用于2到4个目标实例。结果表明,所提出的算法变体比现有的算法获得了更好的结果。
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引用次数: 1
Virtual Reality as a Support Tool for the Treatment of People with Intellectual and Multiple Disabilities: A Systematic Literature Review 虚拟现实作为治疗智力和多重残疾人士的辅助工具:系统的文献综述
Pub Date : 2018-02-18 DOI: 10.22456/2175-2745.77994
Rian Dutra da Cunha, Frâncila Weidt Neiva, Rodrigo L. S. Silva
Since the emergence of virtual reality (VR) technologies, many researchers have argued on the benefits of their use for people with intellectual and multiple disabilities. However, up to this date there is not a single study that presents a detailed overview of the state of the art in virtual reality as a support tool for the treatment of people with intellectual and multiple disabilities, as well as Autism and Down Syndrome. The aim of this study is to provide a detailed overview of the state of the art in the virtual reality area focusing on people with multiple disabilities, that encompasses intellectual and physical disabilities. There is still no consensus on the effectiveness of VR-based treatments. Virtual reality can offer rich environment and features, but most of the researches focuses only in the experience to be inside a virtual place without taking advantage of what benefits VR provide us. Furthermore, most of our selected studies used non-immersive VR and AR. Thus, immersive VR is an open field with many opportunities to be explored. We believe VR has great potential to be effective in the treatment of people with intellectual and multiple disabilities.
自虚拟现实(VR)技术出现以来,许多研究人员一直在争论将其用于智力和多重残疾人士的好处。然而,到目前为止,还没有一项研究详细概述了虚拟现实技术作为治疗智力和多重残疾以及自闭症和唐氏综合症患者的辅助工具的最新进展。本研究的目的是详细概述虚拟现实领域的现状,重点关注多种残疾人士,包括智力和身体残疾。关于虚拟现实治疗的有效性仍未达成共识。虚拟现实可以提供丰富的环境和功能,但大多数研究只关注虚拟场所内的体验,而没有充分利用VR为我们提供的好处。此外,我们选择的大多数研究都使用了非沉浸式VR和AR。因此,沉浸式VR是一个开放的领域,有很多机会可以探索。我们相信VR在治疗智力和多重残疾方面具有巨大的潜力。
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引用次数: 17
Avaliação do Intel Software Guard Extensions via Emulação avalia<s:1> <s:1> o做英特尔软件保护扩展通过emula<s:1> o
Pub Date : 2018-02-18 DOI: 10.22456/2175-2745.77654
Marco Aurélio Spohn, Mateus Trebien
Ao permitir a execucao de aplicacoes em um contexto totalmente protegido (i.e., dentro de enclaves), amplia-se as possibilidades para as novas geracoes de processadores Intel da familia x86 com a extensao Software Guard Extensions (SGX). Por se tratar de uma tecnologia recente, as maquinas que contam com essa tecnologia ainda sao minoria. Objetivando avaliar o SGX, utilizou-se um emulador dessa tecnologia denominado OpenSGX, o qual implementa e reproduz as principais funcionalidades e estruturas utilizadas no SGX. O enfoque consistiu em avaliar o overhead, em termos de processamento, resultante da execucao de uma aplicacao em um ambiente com o SGX emulado. Para a avaliacao, empregou-se aplicacoes de benchmark da plataforma MiBench, modificando-as para compatibilizar a execucao em enclaves no OpenSGX. Como metricas de desempenho, coletou-se o numero total de instrucoes e o numero total de ciclos de CPU para a execucao completa de cada aplicacao com e sem o OpenSGX.
通过允许应用程序在完全受保护的环境中运行(即在飞地中),它通过软件保护扩展(SGX)扩展了x86系列新一代英特尔处理器的可能性。由于这是一项新技术,使用这种技术的机器仍然是少数。为了评估SGX,我们使用了一个名为OpenSGX的模拟器,它实现并再现了SGX中使用的主要功能和结构。重点是评估在模拟SGX环境中执行应用程序所产生的处理方面的开销。为了进行评估,我们使用了MiBench平台的基准应用程序,修改它们以兼容OpenSGX中的飞地执行。作为性能指标,我们收集了有或没有OpenSGX的每个应用程序完全执行的指令总数和CPU周期总数。
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引用次数: 0
Diagnóstico de Glaucoma Utilizando Atributos de Textura e CNN's Pré-treinadas
Pub Date : 2018-02-18 DOI: 10.22456/2175-2745.76387
M. Claro, Rodrigo M. S. Veras, A. M. Santana, L. Vogado, L. Sousa
Glaucoma e uma doenca ocular que danifica o nervo optico causando a perda da visao. Ela e a segunda principal causa de cegueira no mundo. Varios sistemas de diagnostico automatico de glaucoma tem sido propostos, contudo e possivel realizar melhorias nestas tecnicas, visto que, os sistemas atuais nao lidam com uma grande diversidade de imagens. Assim, este trabalho visa realizar a deteccao automatica do glaucoma nas imagens da retina, atraves do uso de descritores de textura e Redes Neurais Convolucionais (CNNs). Os resultados mostraram que a juncao dos descritores GLCM e CNNs e a utilizacao do classificador Random Forest sao promissores na deteccao dessa patologia, obtendo uma acuracia de 91,06% em 873 imagens de 4 bases de dados publicas.
青光眼是一种损害视神经导致视力丧失的眼病。这是世界上第二大致盲原因。已经提出了几种青光眼自动诊断系统,但由于目前的系统不能处理各种各样的图像,因此有可能改进这些技术。因此,本研究旨在利用纹理描述符和卷积神经网络(CNNs)实现视网膜图像中青光眼的自动检测。结果表明,GLCM和CNNs描述符的结合,以及随机森林分类器的使用,在4个公共数据库的873张图像中获得了91.06%的准确率。
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引用次数: 3
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Research initiative, treatment action : RITA
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