Log. J. IGPL最新文献_第4页

The Effect of Iterative Learning Control on the Force Control of a Hydraulic Cushion 迭代学习控制对液压缓冲系统力控制的影响

Log. J. IGPL Pub Date : 2020-11-02 DOI: 10.1093/jigpal/jzaa056

Ignacio Trojaola, Iker Elorza, Eloy Irigoyen, A. Pujana-Arrese, C. Calleja

引用次数: 3

Uncertainty estimation in the forecasting of the 222Rn radiation level time series at the Canfranc Underground Laboratory Canfranc地下实验室222Rn辐射水平时间序列预报中的不确定性估计

Log. J. IGPL Pub Date : 2020-11-02 DOI: 10.1093/jigpal/jzaa057

M. Cárdenas-Montes

{"title":"Uncertainty estimation in the forecasting of the 222Rn radiation level time series at the Canfranc Underground Laboratory","authors":"M. Cárdenas-Montes","doi":"10.1093/jigpal/jzaa057","DOIUrl":"https://doi.org/10.1093/jigpal/jzaa057","url":null,"abstract":"Nowadays decision making is strongly supported by the high-confident point estimations produced by deep learning algorithms. In many activities, they are sufficient for the decision-making process. However, in some other cases, confidence intervals are required too for an appropriate decision-making process. In this work, a first attempt to generate point estimations with confidence intervals for the $^{222}$Rn radiation level time series at Canfranc Underground Laboratory is presented. To predict the low-radiation periods allows correctly scheduling the unshielded periods for maintenance operations in the experiments hosted in this facility. This should minimize the deposition of radioactive dust on the exposed surfaces during these unshielded periods. An approach based on deep learning with stochastic regulation is evaluated in the forecasting of point estimations and confidence intervals of the $^{222}$Rn time series and compared with a second approach based on Gaussian processes. As a consequence of this work, an evaluation of the capacity of Gaussian process and deep learning with stochastic regularization for generating point estimations and their confidence intervals for this time series is stated.","PeriodicalId":304915,"journal":{"name":"Log. J. IGPL","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133585183","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: 3

Distal learning of the incremental capacity curve of a LiFePO4 battery LiFePO4电池增量容量曲线的远端学习

Log. J. IGPL Pub Date : 2020-11-02 DOI: 10.1093/jigpal/jzaa063

L. Sánchez, J. Otero, M. G. Vega, D. Anseán, A. Zülke, Inés Couso

引用次数: 1

Practical Approach in Verification of Security Systems Using Satisfiability Modulo Theories 用可满足模理论验证安全系统的实用方法

Log. J. IGPL Pub Date : 2020-11-02 DOI: 10.1093/jigpal/jzaa062

A. Zbrzezny, Sabina Szymoniak, M. Kurkowski

引用次数: 1

The Impact of Different System Call Representations on Intrusion Detection 不同系统调用表示对入侵检测的影响

Log. J. IGPL Pub Date : 2020-10-30 DOI: 10.1093/jigpal/jzaa058

Sarah Wunderlich, Markus Ring, D. Landes, A. Hotho

{"title":"The Impact of Different System Call Representations on Intrusion Detection","authors":"Sarah Wunderlich, Markus Ring, D. Landes, A. Hotho","doi":"10.1093/jigpal/jzaa058","DOIUrl":"https://doi.org/10.1093/jigpal/jzaa058","url":null,"abstract":"\u0000 Over the years, artificial neural networks have been applied successfully in many areas including IT security. Yet, neural networks can only process continuous input data. This is particularly challenging for security-related, non-continuous data like system calls of an operating system. This work focuses on five different options to preprocess sequences of system calls so that they can be processed by neural networks. These input options are based on one-hot encodings and learning word2vec, GloVe or fastText representations of system calls. As an additional option, we analyse if mapping system calls to their respective kernel modules is an adequate generalization step for (i) replacing system calls or (ii) enhancing system call data with additional information regarding their context. When performing such preprocessing steps it is important to ensure that no relevant information is lost during the process. The overall objective of system call analysis in the context of IT security is to categorize a sequence of them as benign or malicious behavior. Therefore, this scenario is used to evaluate different system call representations in a classification task. Results indicate that a broader range of attacks can be detected when enriching system call representations with corresponding kernel module information. Prior learning of embeddings does not achieve significant improvements. This work is an extension of the work by Wunderlich et al. [1] published in Advances in Intelligent Systems and Computing (AISC, volume 951).","PeriodicalId":304915,"journal":{"name":"Log. J. IGPL","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114459697","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: 3

Enthymematic classical recapture 1

Log. J. IGPL Pub Date : 2020-09-25 DOI: 10.1093/JIGPAL/JZY061

H. Antunes

引用次数: 0

From logics of formal inconsistency to logics of formal classicality 从形式不一致逻辑到形式经典逻辑

Log. J. IGPL Pub Date : 2020-09-25 DOI: 10.1093/JIGPAL/JZY056

Hitoshi Omori

引用次数: 2

Volume II: New advances in Logics of Formal Inconsistency 第二卷:形式不一致逻辑的新进展

Log. J. IGPL Pub Date : 2020-09-25 DOI: 10.1093/JIGPAL/JZY063

E. Barrio, W. Carnielli

引用次数: 0

Volume I: Recovery operators in logics of formal inconsistency 卷一:形式不一致逻辑中的恢复算子

Log. J. IGPL Pub Date : 2020-09-25 DOI: 10.1093/jigpal/jzy053

E. Barrio, W. Carnielli

引用次数: 3

A modified biogeography-based optimization algorithm with improved mutation operator for job shop scheduling problem with time lags 针对时滞作业车间调度问题，提出了一种改进的基于生物地理的变异算子优化算法

Log. J. IGPL Pub Date : 2020-09-12 DOI: 10.1093/jigpal/jzaa037

M. Harrabi, O. Driss, K. Ghédira

{"title":"A modified biogeography-based optimization algorithm with improved mutation operator for job shop scheduling problem with time lags","authors":"M. Harrabi, O. Driss, K. Ghédira","doi":"10.1093/jigpal/jzaa037","DOIUrl":"https://doi.org/10.1093/jigpal/jzaa037","url":null,"abstract":"\u0000 This paper addresses the job shop scheduling problem including time lag constraints. This is an extension of the job shop scheduling problem with many applications in real production environments, where extra (minimum and maximum) delays can be introduced between successive operations of the same job. It belongs to a category of problems known as NP-hard problem due to large solution space. Biogeography-based optimization is an evolutionary algorithm which is inspired by the migration of species between habitats, recently proposed by Simon in 2008 to optimize hard combinatorial optimization problems. We propose a hybrid biogeography-based optimization (HBBO) algorithm for solving the job shop scheduling problem with additional time lag constraints with minimization of total completion time. In the proposed HBBO, the effective greedy constructive heuristic is adapted to generate the initial population of habitat. Moreover, a local search metaheuristic is investigated in the mutation step in order to ameliorate the solution quality and enhance the diversity of the population. To assess the performance of HBBO, a series of experiments on well-known benchmark instances for job shop scheduling problem with time lag constraints is performed.","PeriodicalId":304915,"journal":{"name":"Log. J. IGPL","volume":"180 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132741687","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: 3