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Unification with parameters in the implication fragment of classical propositional logic 经典命题逻辑蕴涵片段中参数的统一
Pub Date : 2021-04-07 DOI: 10.1093/JIGPAL/JZAB014
P. Balbiani, M. Mojtahedi
In this paper, we show that the implication fragment of classical propositional logic is finitary for unification with parameters.
本文证明了经典命题逻辑的蕴涵片段对于有参数统一是有限的。
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引用次数: 0
Design of a New Distributed NoSQL Database with Distributed Hash Tables 基于分布式哈希表的新型分布式NoSQL数据库设计
Pub Date : 2021-03-17 DOI: 10.1093/JIGPAL/JZAB003
Agustín San Román Guzmán, Diego Valdeolmillos, Alberto Rivas, Angélica González Arrieta, P. Chamoso
Databases play a fundamental role in today’s world, being used by most companies, especially those that offer services through the Internet. Today there is a wide variety of database models, each adapted for use according to the specific requirements of each application. Traditionally, the relational models with centralized architectures have been used mostly due to their simplicity and general-purpose query language, which made relational systems suitable for almost any application. However, with the growth of the Internet in recent decades, both in the number of users and in the amount of information, those centralized models began to suffer availability and scalability issues. To address those issues, the use of decentralized architectures and alternative database models began to arise, eventually replacing relational databases and centralized architectures when the requirements on availability and scalability are high. Those database models alternative to the traditional relational model are grouped under the name of NoSQL (Not only Structured Query Language). In this article, we present a NoSQL database developed as an end of degree work, with a flexible data model based on documents and a fully decentralized architecture based on the Gossip protocol for node discovery and a distributed hash table, in particular the rendezvous hashing algorithm, used to distribute and replicate the data across all the nodes. The main goals of the system are to achieve high availability (the data should be almost always accessible) and high scalability (the system should be able to scale by increasing the number of nodes to increase its capacity both on data and number of users). High availability is achieved thanks to the replication of the data, while high scalability is achieved by its decentralized architecture, which allows multiple entry points from the requests, and the data distribution, effectively increasing the database capacity by increasing the number of nodes.
数据库在当今世界扮演着重要的角色,被大多数公司所使用,尤其是那些通过Internet提供服务的公司。现在有各种各样的数据库模型,每个模型都根据每个应用程序的特定需求进行了调整。传统上,使用集中式体系结构的关系模型主要是因为它们的简单性和通用查询语言,这使得关系系统几乎适用于任何应用程序。然而,随着近几十年来Internet的发展,无论是用户数量还是信息量,这些集中式模型都开始出现可用性和可伸缩性问题。为了解决这些问题,分散式体系结构和替代数据库模型的使用开始出现,当对可用性和可伸缩性的要求很高时,它们最终取代了关系数据库和集中式体系结构。这些替代传统关系模型的数据库模型统称为NoSQL (Not only Structured Query Language)。在这篇文章中,我们提出了一个NoSQL数据库,它是一个基于文档的灵活的数据模型,一个基于Gossip协议的完全分散的架构,用于节点发现和分布式哈希表,特别是集合哈希算法,用于在所有节点上分发和复制数据。系统的主要目标是实现高可用性(数据应该几乎总是可访问的)和高可伸缩性(系统应该能够通过增加节点的数量来增加其数据和用户数量的容量)。由于数据的复制,实现了高可用性,而其分散的体系结构实现了高可伸缩性,该体系结构允许来自请求和数据分布的多个入口点,通过增加节点数量有效地增加了数据库容量。
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引用次数: 1
New Tableau Characterizations for Non-clausal MaxSAT Problem 非条款式MaxSAT问题的新表格表征
Pub Date : 2021-03-08 DOI: 10.1093/JIGPAL/JZAB012
G. Fiorino
In this paper, we provide non-clausal tableau calculi for the maximum satisfiability problem and its variants. We discuss both basic calculi to characterize the problem and their modifications to reduce the proof size.
本文给出了最大可满足性问题及其变体的非分句表演算。我们讨论了描述问题的基本演算和它们的修改以减小证明的大小。
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引用次数: 5
Employees balance and stability as key points in organizational performance 员工的平衡和稳定是组织绩效的关键点
Pub Date : 2021-03-05 DOI: 10.1093/JIGPAL/JZAB010
J. Neves, Nuno Maia, G. Marreiros, Mariana Neves, Ana Fernandes, Jorge Ribeiro, Isabel Araújo, N. Araújo, Liliana Ávidos, Filipa Ferraz, A. Capita, N. Lori, Victor Alves, H. Vicente
System analyses deal with interrelationships between different variables that keep the system in balance. In many analysis of complex thinking, a system is viewed as a complex unit in which the ‘whole’ is not reduced to the ‘sum’ of its parts; the system becomes an ambiguous item because it consists of several entities that interact with unforeseen results or, in other words, it is situated at a transdisciplinary level, it is impossible for an area to have a complete reading of its complexity. It was also mentioned that the concept of the open system best describes complexity by stating that ‘the laws of the organization are not equilibrium, but an imbalance that is restored or compensated for by stabilized dynamics’. This idea originated from the field of thermodynamics and the second law, in which the imbalance that it maintains allows the system for an apparent balance. This fragile steady state has something of a paradox, since the structures remain the same, but their constituents are changeable. The concept of open system undoes the door to a theory of evolution that can only derive from the interactions between a system and its ecosystem. Within this systemic approach, the focus of the analysis takes into account the ambiguity, multidisciplinary and complexity associated with system adjustment, i.e. it is intended to qualify an employee job based on their experience and knowledge as a measure of their impact on the organization performance.
系统分析处理保持系统平衡的不同变量之间的相互关系。在许多对复杂思维的分析中,一个系统被视为一个复杂的单元,其中的“整体”并没有被简化为各部分的“总和”;系统成为一个模棱两可的项目,因为它由几个实体组成,这些实体与不可预见的结果相互作用,换句话说,它位于跨学科层面,一个领域不可能对其复杂性有一个完整的解读。有人还提到,开放系统的概念最好地描述了复杂性:“组织的规律不是平衡的,而是由稳定的动态恢复或补偿的不平衡”。这个想法起源于热力学和热力学第二定律的领域,在热力学第二定律中,它所保持的不平衡使系统具有明显的平衡。这种脆弱的稳定状态有点矛盾,因为结构保持不变,但它们的成分是可变的。开放系统的概念为只能从系统与其生态系统之间的相互作用中得出的进化理论打开了大门。在这种系统方法中,分析的重点考虑了与系统调整相关的模糊性、多学科性和复杂性,也就是说,它的目的是根据员工的经验和知识来确定他们的工作资格,作为他们对组织绩效影响的衡量标准。
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引用次数: 3
Deep Convolutional Neural Networks on Automatic Classification for Skin Tumour Images 深度卷积神经网络在皮肤肿瘤图像自动分类中的应用
Pub Date : 2021-03-04 DOI: 10.1093/JIGPAL/JZAB009
S. Simic, S. Simic, Z. Bankovic, M. Ivkov-Simic, J. Villar, D. Simić
The skin, uniquely positioned at the interface between the human body and the external world, plays a multifaceted immunologic role in human life. In medical practice, early accurate detection of all types of skin tumours is essential to guide appropriate management and improve patients’ survival. The most important issue is to differentiate between malignant skin tumours and benign lesions. The aim of this research is the classification of skin tumours by analysing medical skin tumour dermoscopy images. This paper is focused on a new strategy based on deep convolutional neural networks which have recently shown a state-of-the-art performance to define strategy to automatic classification for skin tumour images. The proposed system is tested on well-known HAM10000 data set. For experimental results, verification is performed and the results are compared with similar researches.
皮肤是人体与外界的独特接口,在人体生活中起着多方面的免疫作用。在医疗实践中,早期准确发现所有类型的皮肤肿瘤对于指导适当的管理和提高患者的生存率至关重要。最重要的问题是区分恶性皮肤肿瘤和良性病变。本研究的目的是通过分析医学皮肤肿瘤皮肤镜图像对皮肤肿瘤进行分类。本文研究了一种基于深度卷积神经网络的新策略,该策略在皮肤肿瘤图像的自动分类中表现出最新的性能。该系统在知名的HAM10000数据集上进行了测试。对实验结果进行了验证,并与同类研究结果进行了对比。
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引用次数: 2
Proof Systems for 3-valued Logics Based on Gödel's Implication 基于Gödel蕴涵的3值逻辑证明系统
Pub Date : 2021-02-22 DOI: 10.1093/JIGPAL/JZAB013
A. Avron
The logic $G3^{<}_{{{}^{scriptsize{-}}}!!textrm{L}}$ was introduced in Robles and Mendéz (2014, Logic Journal of the IGPL, 22, 515–538) as a paraconsistent logic which is based on Gödel’s 3-valued matrix, except that Kleene–Łukasiewicz’s negation is added to the language and is used as the main negation connective. We show that $G3^{<}_{{{}^{scriptsize{-}}}!!textrm{L}}$ is exactly the intersection of $G3^{{1}}_{{{}^{scriptsize{-}}}!!textrm{L}}$ and $G3^{{1,0.5}}_{{{}^{scriptsize{-}}}!!textrm{L}}$, the two truth-preserving 3-valued logics which are based on the same truth tables. (In $G3^{{1}}_{{{}^{scriptsize{-}}}!!textrm{L}}$ the set ${cal D}$ of designated elements is ${1}$, while in $G3^{{1,0.5}}_{{{}^{scriptsize{-}}}!!textrm{L}}$  ${cal D}={1,0.5}$.) We then construct a Hilbert-type system which has (MP) for $to $ as its sole rule of inference, and is strongly sound and complete for $G3^{<}_{{{}^{scriptsize{-}}}!!textrm{L}}$. Then we show how, by adding one axiom (in the case of $G3^{{1}}_{{{}^{scriptsize{-}}}!!textrm{L}}$) or one new rule of inference (in the case of $G3^{{1,0.5}}_{{{}^{scriptsize{-}}}!!textrm{L}}$), we get strongly sound and complete systems for $G3^{{1}}_{{{}^{scriptsize{-}}}!!textrm{L}}$ and $G3^{{1,0.5}}_{{{}^{scriptsize{-}}}!!textrm{L}}$. Finally, we provide quasi-canonical Gentzen-type systems which are sound and complete for those logics and show that they are all analytic, by proving the cut-elimination theorem for them.
逻辑$G3^{<}_{{{}^{scriptsize{-}}}!!textrm{L}}$在Robles和mend宇航兹(2014,Logic Journal of the IGPL, 22, 515-538)中作为一种基于Gödel的三值矩阵的副一致逻辑被引入,除了Kleene -Łukasiewicz的否定被添加到语言中并被用作主否定连接。我们显示$G3^{<}_{{{}^{scriptsize{-}}}!! textrm {L}}就是美元的交集G3 $ ^ { {1 }}_{{{}^{ scriptsize {-}}} !G3 textrm {L}} $和$ ^ { {1,0.5 }}_{{{}^{ scriptsize {-}}} !textrm{L}}$,两个基于相同真值表的保真三值逻辑。G3 ($ ^ { {1 }}_{{{}^{ scriptsize {-}}} !集美元 textrm {L}}{卡尔维}指定元素的美元是 {1},美元在G3 $ ^ { {1, 0.5 }}_{{{}^{ scriptsize {-}}} !textrm{L}}$ ${cal D}={1,0.5}$.)然后,我们构造了一个hilbert型系统,该系统的唯一推理规则是(MP),并且对于$G3^{<}_{{{}}^{scriptsize{-}}}!!textrm{L}}$是强健全和完备的。然后我们展示,通过添加一个公理G3(在$ ^ { {1 }}_{{{}^{ scriptsize {-}}}!! textrm {L}} $)或一个新规则的推理G3(在$ ^ { {1,0.5 }}_{{{}^{ scriptsize {-}}}!! textrm {L}} $),我们得到强烈的声音和G3成套系统$ ^ { {1 }}_{{{}^{ scriptsize {-}}} !G3 textrm {L}} $和$ ^ { {1,0.5 }}_{{{}^{ scriptsize {-}}}!! textrm {L}} $。最后,通过对这些逻辑的切消定理的证明,给出了它们的完备完备的准正则根岑型系统,并证明了它们都是解析的。
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引用次数: 2
Parsimonious Modelling for Estimating Hospital Cooling Demand to Improve Energy Efficiency 医院制冷需求估算的简约模型以提高能源效率
Pub Date : 2021-02-17 DOI: 10.1093/JIGPAL/JZAB008
Eduardo Dulce-Chamorro, F. J. M. Pisón
Of all the different types of public buildings, hospitals are the biggest energy consumers. Cooling systems for air conditioning and healthcare uses are particularly energy intensive. Forecasting hospital thermal-cooling demand is a remarkable and innovative method capable of improving the overall energy efficiency of an entire cooling system. Predictive models allow users to forecast the activity of water-cooled generators and adapt power generation to the real demand expected for the day ahead, while avoiding inefficient subcooling. In addition, the maintenance costs related to unnecessary starts and stops and power-generator breakdowns occurring over the long term can be reduced. This study is based on the operations of a real hospital facility and details the steps taken to develop an optimal and efficient model based on a genetic methodology that searches for low-complexity models through feature selection, parameter tuning and parsimonious model selection. The methodology, called GAparsimony, has been tested with neural networks, support vector machines and gradient boosting techniques. Finally, a weighted combination of the three best models was created. The new operational method employed herein can be replicated in similar buildings with similar water-cooled generators.
在所有不同类型的公共建筑中,医院是最大的能源消耗者。用于空调和医疗保健用途的冷却系统特别耗能。预测医院的热冷需求是一个显著的和创新的方法,能够提高整个冷却系统的整体能源效率。预测模型允许用户预测水冷发电机的活动,并根据未来一天的实际需求调整发电,同时避免低效的过冷。此外,可以减少与不必要的启动和停止以及长期发生的发电机故障相关的维护成本。本研究以真实医院设施的运作为基础,详细介绍了基于遗传方法开发最优高效模型的步骤,该方法通过特征选择、参数调整和简约模型选择来搜索低复杂性模型。这种名为GAparsimony的方法已经用神经网络、支持向量机和梯度增强技术进行了测试。最后,对三种最佳模型进行加权组合。本文所采用的新操作方法可以在类似的建筑物中复制,并具有类似的水冷发电机。
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引用次数: 2
Editorial: Special issue HAIS19-IGPL 社论:特刊HAIS19-IGPL
Pub Date : 2021-02-17 DOI: 10.1093/JIGPAL/JZAB002
Hilde Pérez García, Lidia Sánchez-González, M. C. Limas, Héctor Quintián-Pardo, E. Corchado
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引用次数: 0
Air Pollution Monitoring Using WSN Nodes with Machine Learning Techniques: A Case Study 基于机器学习技术的WSN节点空气污染监测:一个案例研究
Pub Date : 2021-02-13 DOI: 10.1093/JIGPAL/JZAB005
P. Rosero-Montalvo, V. F. L. Batista, Ricardo P. Arciniega-Rocha, D. H. Peluffo-Ordóñez
Air pollution is a current concern of people and government entities. Therefore, in urban scenarios, its monitoring and subsequent analysis is a remarkable and challenging issue due mainly to the variability of polluting-related factors. For this reason, the present work shows the development of a wireless sensor network that, through machine learning techniques, can be classified into three different types of environments: high pollution levels, medium pollution and no noticeable contamination into the Ibarra City. To achieve this goal, signal smoothing stages, prototype selection, feature analysis and a comparison of classification algorithms are performed. As relevant results, there is a classification performance of 95% with a significant noisy data reduction.
空气污染是人们和政府机构当前关注的问题。因此,在城市情景下,其监测和后续分析是一个值得注意和具有挑战性的问题,主要是由于污染相关因素的可变性。因此,目前的工作展示了无线传感器网络的发展,通过机器学习技术,可以将其分为三种不同类型的环境:高污染水平,中等污染和伊巴拉市没有明显的污染。为了实现这一目标,进行了信号平滑阶段、原型选择、特征分析和分类算法比较。作为相关结果,分类性能达到95%,并且显著降低了噪声数据。
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引用次数: 3
A One-class Classifier Based on a Hybrid Topology to Detect Faults in Power Cells 基于混合拓扑的单类分类器在电池故障检测中的应用
Pub Date : 2021-02-12 DOI: 10.1093/JIGPAL/JZAB011
Esteban Jove, J. Casteleiro-Roca, Héctor Quintián-Pardo, Francisco Zayas-Gato, G. Vercelli, J. Calvo-Rolle
The use of batteries became essential in our daily life in electronic devices, electric vehicles and energy storage systems in general terms. As they play a key role in many devices, their design and implementation must follow a thorough test process to check their features at different operating points. In this circumstance, the appearance of any kind of deviation from the expected operation must be detected. This research deals with real data registered during the testing phase of a lithium iron phosphate—LiFePO4—battery. The process is divided into four different working points, alternating charging, discharging and resting periods. This work proposes a hybrid classifier, based on one-class techniques, whose aim is to detect anomalous situations during the battery test. The faults are created by modifying the measured cell temperature a slight ratio from their real value. A detailed analysis of each technique performance is presented. The average performance of the chosen classifier presents successful results.
一般来说,电池的使用在电子设备、电动汽车和能源存储系统的日常生活中变得至关重要。由于它们在许多设备中起着关键作用,它们的设计和实现必须遵循一个彻底的测试过程,以检查它们在不同操作点的功能。在这种情况下,任何与预期操作的偏差都必须被检测出来。本研究处理在磷酸铁锂-磷酸铁锂电池测试阶段记录的真实数据。该过程分为四个不同的工作点,交替充电,放电和休息时间。本文提出了一种基于单类技术的混合分类器,其目的是检测电池测试过程中的异常情况。故障是通过将测得的电池温度从实际值稍微修改成一个比例而产生的。对各技术性能进行了详细分析。所选分类器的平均性能显示了成功的结果。
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引用次数: 4
期刊
Log. J. IGPL
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