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2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI)最新文献

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What are the Characteristics of the Card Game Daihinmin? 大兴民牌游戏的特点是什么?
Pub Date : 2019-07-01 DOI: 10.1109/IIAI-AAI.2019.00125
Mitsuo Wakatsuki, Yuta Kado, Yamato Takeuchi, Seiya Okubo, T. Nishino
Combinatorial game theory has many ways of measuring game complexity. In this paper, several measures of complexity for the card game Daihinmin are presented to obtain some of its characteristics. Furthermore, we show the difference in playing styles of Daihinmin between humans and computers.
组合博弈论有许多衡量博弈复杂性的方法。本文提出了纸牌游戏《大兴民》的几种复杂度度量,以获得它的一些特征。此外,我们还展示了人类和计算机在大兴民游戏风格上的差异。
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引用次数: 2
Investigation of Reference Sample Reduction Methods for Ensemble Output with Fuzzy Logic-Based Systems 基于模糊逻辑系统的集成输出参考样本约简方法研究
Pub Date : 2019-07-01 DOI: 10.1109/IIAI-AAI.2019.00124
A.S. Polyakova, L. Lipinskiy, E. Semenkin
One of the main methods in data reduction processes is the instance selection method. Reducing the dataset has two main objectives: reducing the requirements for computing resources, and the time for processing the learning task. The paper studies the problem of reducing the size of a reference set of points (reference sample) in collective decision making. In the paper, the reference sample refers to the sample that is used in ensemble output based on fuzzy logic system. The fuzzy controller makes a decision which agent should be used for each point from a test set. The nearest point from the reference sample is determined for any point from a test set. Depending on the distance to the object from a test set and the successfulness of the algorithm on this object, the confidence of the algorithm on this test point is determined. Also, it is proposed to apply the instance selection to choose instances for the reference set from the training set when solving regression problems based on such methods as genetic algorithms (GA), the k-means clustering algorithm, and the random instance selection (RIS). Computational experiments show that effective instance selection in the reference set can significantly reduce the computational costs while maintaining the accuracy of the result.
实例选择方法是数据约简过程中的主要方法之一。减少数据集有两个主要目标:减少对计算资源的需求,以及减少处理学习任务的时间。研究了集体决策中参考点集(参考样本)的缩减问题。本文中的参考样本是指用于基于模糊逻辑系统的集成输出的样本。模糊控制器对测试集中的每个点决定应该使用哪个代理。对于来自测试集的任何点,确定离参考样本最近的点。根据测试集到目标的距离以及算法在该目标上的成功程度,确定算法在该测试点上的置信度。在遗传算法(GA)、k-means聚类算法、随机实例选择(RIS)等方法求解回归问题时,提出应用实例选择从训练集中选择参考集的实例。计算实验表明,在保持结果准确性的前提下,在参考集中进行有效的实例选择可以显著降低计算成本。
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引用次数: 2
An Approach for Requirements Elicitation using Goal, Question, and Answer 一种使用目标、问题和答案的需求引出方法
Pub Date : 2019-07-01 DOI: 10.1109/IIAI-AAI.2019.00172
Qiang Zhi, Zhengshu Zhou, Shuji Morisaki, Shuichiro Yamamoto
Requirements elicitation is the first step in software development, methods such as data collection, questionnaire, interview, field observation are used in requirements elicitation, either way, the requirements from customer need to be properly extracted. For the interview, the accuracy of requirements elicitation depends on the dialog ability of software engineer (extractor) and customer (respondent). Among software engineers, there is a difference in the ability of requirements elicitation. Besides, it is difficult for experienced software engineers to extract customer requirements without fail. In this paper, in order to extract requirements without omission, the scope of the requirements is determined in advance, and a tree-like requirements decomposition structure is proposed for constructing the requirement questions. At last, a comparative experiment was carried out, and the effectiveness of the approach was positively supported by the experiment result.
需求的提取是软件开发的第一步,在需求的提取中使用了数据收集、问卷调查、访谈、实地观察等方法,无论采用哪种方法,都需要适当地提取来自客户的需求。在访谈中,需求提取的准确性取决于软件工程师(提取者)和客户(应答者)的对话能力。在软件工程师中,需求引出的能力是不同的。此外,经验丰富的软件工程师很难准确无误地提取客户需求。为了不遗漏地提取需求,本文提前确定了需求的范围,并提出了一种树状的需求分解结构来构造需求问题。最后进行了对比实验,实验结果积极支持了该方法的有效性。
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引用次数: 1
Hologram Calculation, Printing, and Reconstruction Based on Light-in-Flight Recording by Holography 基于全息飞行光记录的全息图计算、打印和重建
Pub Date : 2019-07-01 DOI: 10.1109/IIAI-AAI.2019.00189
T. Kakue, Y. Ichihashi, K. Wakunami, H. Amano, H. Hashimoto, T. Shimobaba, T. Ito
Light-in-flight recording by holography can record light propagation with a single-shot exposure in principle and can reconstruct it as spatially and temporally continuous motion pictures. We calculated computer-generated holograms based on light-in-flight recording by holography, and printed them by a wavefront printer in order to prove the validity of the numerical simulation model based on light-in-flight recording by holography. Because we reconstructed motion pictures of light propagation from the printed holograms, we successfully showed the validity of the numerical simulation model.
全息飞行光记录原理上可以记录单次曝光的光传播,并将其重构为时空连续的运动图像。为了验证基于全息光记录的数值模拟模型的有效性,我们计算了基于全息光记录的计算机生成的全息图,并用波前打印机进行了打印。由于我们从印刷全息图中重建了光传播的运动图像,我们成功地证明了数值模拟模型的有效性。
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引用次数: 1
An Envy-free Pricing Algorithm for Multi Item Market with Covering Constraints 具有覆盖约束的多商品市场无嫉妒定价算法
Pub Date : 2019-07-01 DOI: 10.1109/IIAI-AAI.2019.00153
Hirofumi Mizuno, Satoshi Takahashi
In recent years, with the spread of personal computers and smartphones, the advertisement distribution market through the Internet is growing. Most of the advertisement distribution service is a listing advertisement displayed in accordance with attributes of users and search words. One of an interest topic of item allocation and pricing problem is an envy-freeness. A key idea of envy-free is that no buyer has incentive to exchange own items and its payment pair with another buyer's items and its payment pair. It is known that a revenue maximization problem with envy-freeness is a NP-hard problem. In this paper, we study a special case of multi items envy-free allocation problems. Every buyer has a unit valuation, a budget and a preferred item set the buyer wants.
近年来,随着个人电脑和智能手机的普及,通过互联网进行的广告投放市场不断扩大。大多数广告分发服务是根据用户属性和搜索词显示的列表广告。在物品分配与定价问题中,无嫉妒性是一个有趣的话题。无嫉妒的一个关键思想是,没有买家有动机将自己的物品及其支付对与另一个买家的物品及其支付对交换。众所周知,不存在嫉妒的收益最大化问题是一个np困难问题。本文研究了一类特殊的多项目无嫉妒分配问题。每个买家都有一个单位估值,一个预算和一个买家想要的首选项目集。
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引用次数: 0
Extracting Irregular Datasets in University Admission Statistics using Text Mining and Benford's Law 利用文本挖掘和Benford定律提取大学录取统计中的不规则数据集
Pub Date : 2019-07-01 DOI: 10.1109/IIAI-AAI.2019.00207
Yusuke Tozaki, Takahiko Suzuki, Tsunenori Mine, S. Hirokawa
It is known as Benford's law that the distribution of the first digits forms a specific shape for natural numerical datasets. Deviation from the Benford's distribution indicates the irregularity of the dataset. However, it does not tell any clue to interpret the reason of irregularity. The present paper constructs a search engine of cells that appear in tables by correlating a cell with the words in the title of row or column or in the explanation of the table. We generate an exhaustive dataset of cells for testing irregularity by enumerating the search conditions. We applied the method to the number of applicants, the number of candidates, and the number of successful applicants in each department of 565 private universities in Japan. We confirmed the effectiveness of the proposed method by extracting the characteristics of the irregular datasets.
对于自然数值数据集,第一位数字的分布形成了特定的形状,这被称为本福德定律。偏离本福德分布表示数据集的不规则性。然而,它并没有告诉任何线索来解释不正常的原因。本文通过将单元格与表的行、列标题或表的说明中的单词相关联,构建了一个表中出现的单元格搜索引擎。我们通过列举搜索条件来生成一个详尽的细胞数据集,用于测试不规则性。我们对日本565所私立大学的报考人数、合格者人数、各专业合格者人数等进行了分析。通过对不规则数据集的特征提取,验证了该方法的有效性。
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引用次数: 1
A Compact Low Power AI Module Mounted on Drone for Plant Monitor System 一种安装在无人机上的小型低功耗人工智能模块用于工厂监控系统
Pub Date : 2019-07-01 DOI: 10.1109/IIAI-AAI.2019.00236
Tomoki Kobayashi, Tomoyuki Yokogawa, Nao Igawa, Yoichiro Sato, S. Fujii, Kazutami Arimoto
This paper describes the compact and low power AI DNN discriminator which is mounted on the small drone like a hobby type. By adopting this AI module, the effective plant monitoring system using the drone has been achieved. The experimental results applied to the pineapple fields in Okinawa are shown.
本文介绍了一种安装在小型无人机上的小型低功耗人工智能深度神经网络识别器。通过采用该AI模块,实现了利用无人机进行有效的工厂监控系统。并给出了在冲绳凤梨田的试验结果。
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引用次数: 1
Effects of President Trump Remarks on Japanese Automakers 特朗普总统的言论对日本汽车制造商的影响
Pub Date : 2019-07-01 DOI: 10.1109/IIAI-AAI.2019.00145
K. Yamaguchi, Y. Shirota
We investigated effects of President Trump remarks in May 2018 on Japanese automakers. We can extract the hidden relationship among companies just from seeing the movement of stock prices. When a large event happens, stocks are likely to move in a similar way if they have a tight relation. The analysis method we used is Random Matrix Theory and the data is the stock prices of 38 Japanese automakers. We found that Isuzu has a similar movement to Toyota compared with Suzuki and Matsuda, although Isuzu, Suzuki, and Matsuda belong to the Toyota group. In addition, we found that Suzuki and Yamaha are likely to move reversely, compared to other automakers, because Suzuki and Yamaha would not be given so large damages from the tariff rise. Then we found indices of minor damage of Suzuki.
我们调查了2018年5月特朗普总统的言论对日本汽车制造商的影响。我们可以从股价的变化中提取出公司之间隐藏的关系。当一个重大事件发生时,如果它们之间有紧密的关系,它们可能会以类似的方式移动。我们使用的分析方法是随机矩阵理论,数据是38家日本汽车制造商的股票价格。我们发现,虽然五十铃、铃木和松田同属丰田集团,但与铃木和松田相比,五十铃的运动与丰田相似。此外,我们发现,与其他汽车制造商相比,铃木和雅马哈可能会采取相反的行动,因为铃木和雅马哈不会因为关税上升而受到如此大的损害。然后我们找到了铃木的轻微损伤指标。
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引用次数: 0
Deep-learning-assisted Hologram Calculation via Low-Sampling Holograms 基于低采样全息图的深度学习辅助全息图计算
Pub Date : 2019-07-01 DOI: 10.1109/IIAI-AAI.2019.00188
T. Shimobaba, David Blinder, P. Schelkens, Yota Yamamoto, I. Hoshi, T. Kakue, T. Ito
Digital holograms can be calculated by simulating light wave propagation on a computer. Hologram calculations are used for three-dimensional displays. However, the calculations take a long time, and the data size of the calculated holograms becomes large. This study presents a deep-learning-assisted hologram calculation using low-sampling holograms. We calculate holograms with low-sampling rates, resulting in the acceleration of the hologram calculation and the decrease of the hologram size. However, the low-sampling holograms decrease the quality of the reconstructed images and will occur the aliasing errors when not satisfying the Nyquist rate. The proposed method uses a deep neural network to retrieve the full-sampling holograms from the low-sampling holograms. We show elementary results of the proposed method in numerical simulation.
通过在计算机上模拟光波的传播,可以计算出数字全息图。全息图计算用于三维显示。但是,计算时间长,计算出的全息图数据量大。本研究提出了一种基于低采样全息图的深度学习辅助全息图计算方法。我们采用低采样率计算全息图,从而加快了全息图的计算速度,减小了全息图的尺寸。然而,低采样全息图在不满足奈奎斯特率时,会降低重建图像的质量,并产生混叠误差。该方法利用深度神经网络从低采样全息图中提取全采样全息图。在数值模拟中给出了该方法的初步结果。
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引用次数: 2
A Proposal for Developing EA Models toward Innovation 开发面向创新的EA模型的建议
Pub Date : 2019-07-01 DOI: 10.1109/IIAI-AAI.2019.00173
Zhengshu Zhou, Qiang Zhi, Shuichiro Yamamoto, Shuji Morisaki
Along with economic development, customers' expectations for the commercial value of a product or service tend to be diverse. Innovation of enterprise service and information technology is required to solve customer pain points and create new value. Enterprises that are insensitive in service innovation and technology innovation may gradually lose their customers and markets. In order to visualize and manage the business processes, resources, and the entire organization, including the information systems, this paper integrates Job Theory (JT), Business Model Canvas (BMC) and Balanced Scorecard (BSC), and proposes a method for EA (Enterprise Architecture) model development based on ArchiMate framework. First of all, the basic elements of traditional EA modeling approaches are analyzed and integrated. Next, the integrated elements are converted into ArchiMate concepts, a model-based method using ArchiMate elements is proposed and the detailed steps of this proposed method are defined. Last but not least, a case study on a Mental Health Care-Patient Management System (MHC-PMS) is carried out to verify the effectiveness of the proposed method.
随着经济的发展,顾客对产品或服务的商业价值的期望趋于多样化。解决客户痛点,创造新价值,需要企业服务和信息技术的创新。服务创新和技术创新不敏感的企业可能会逐渐失去客户和市场。为了对业务流程、资源以及包括信息系统在内的整个组织进行可视化管理,本文将作业理论(JT)、业务模型画布(BMC)和平衡计分卡(BSC)相结合,提出了一种基于ArchiMate框架的企业架构(EA)模型开发方法。首先,对传统EA建模方法的基本要素进行了分析和集成。其次,将集成元素转换为ArchiMate概念,提出了一种基于模型的ArchiMate元素方法,并定义了该方法的具体步骤。最后,以精神卫生保健患者管理系统(MHC-PMS)为例,验证了所提出方法的有效性。
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引用次数: 3
期刊
2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI)
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