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检索条件"丛书名=Communications in Computer and Information Science"

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Agile Audit Proposal for ISO IEC 27001 Standard Implementation in Higher Education Faculties 4th

Agile Audit Proposal for ISO IEC 27001 Standard Implementati...

引用

4th International Conference on Advanced Research in Technologies information Innovation and Sustainability-ARTIIS-Annual

作者： Ruete Zuniga, David Lopez Lira, Pilar Caroca Navarro, Alejandro Diaz Pena, Mailiu Caselli Benavente, Nicolas Leal Moraga, Danilo Reyes Rogget, Marcelo Maidana Gonzalez, Jean Paul Univ Andres Bello Vina Del Mar Chile

ISBN: (纸本)9783031840777;9783031840784

The information Security Management System (ISMS) is responsible for protecting information by implementing strategies to ensure its confidentiality, availability, and integrity. information for the ISMS is collected through a Statement of Applicability, allowing for an ISMS audit of the organization and demonstrating its condition. This work proposes an agile internal audit methodology based on ISO/IEC 27001, aimed at reducing the time required for internal audits and preparing the institution for formal certification.

关键词： ISMS information Security ISO27001 Cybersecurity

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Investigation of Observation Conditions and Detection Distance of Aircraft in the Thermal Range 2nd

Investigation of Observation Conditions and Detection Distan...

引用

2nd International Conference on information Technologies and Their Applications

作者： Rana, Huseynova Gunel, Aliyeva Azerbaijan Univ Architecture & Construct 11 A Sultanova AZ-1073 Baku Azerbaijan Natl Aerosp Agcy SS Akhundov St AZ-1115 Baku Azerbaijan

ISBN: (纸本)9783031734168;9783031734175

Frequent accidents of civil aircrafts that occur due to suddenly changing environmental conditions require their reliable tracking in real time. This circumstance dictates the need for further improvement of tracking systems of civil aircraft in flight. Flight control in the future can be carried out using unmanned carriers, as well as spacecrafts. The most important state of the aircraft's own thermal radiation, in which its infrared visibility is assessed, is the state of equilibrium self-radiation. Unlike civilian ships, in the military sphere it is important to hide aircraft flights from enemy observation equipment. The question of determining the detection distance of modern aircraft is considered, taking into account such factors as radiation contrast, the radiance of the object and background, radiation fluxes, the transmission coefficient of the optical part of the detector, the bandwidth of the atmosphere. The task of minimizing the detection distance of combat aircraft in the infrared range has been formulated. As a result of solving the problem in integral and non-integral formulations, design expressions for calculating the optimal values of the detection distance were obtained.

关键词： infrared range detection detector optimization functionality

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Machine Learning Based Voltage Prediction with Various Levels of pH in IoT Environment 4th

Machine Learning Based Voltage Prediction with Various Level...

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4th International Conference on Advanced Network Technologies and Intelligent Computing-ANTIC-Annual

作者： Kanagachidambaresan, G. R. Rohini, P. Jayasudha, V. Thipperudraswamy, S. P. Manickam, Pandiaraj Mathiyarasu, J. Kumararaja, P. Muralidhar, M. Vel Tech Rangarajan Dr Sagunthala R&D Inst Sci & Dept Comp Sci & Engn Chennai Tamil Nadu India CSIR CECRI Cent Elect Chem Res Inst Electod & Electcatalysis Div Karaikkudi Tamil Nadu India Acad Sci & Innovat Res AcSIR Ghaziabad 201002 India Cent Inst Brackish Water Aquaculture Chennai Tamil Nadu India

ISBN: (纸本)9783031837821;9783031837838

For accurate pH measurement and voltage prediction, solution properties need to be converted into measurable electrical signals. Reliable and precise data from pH sensors are achieved by calibrating the sensors with known solutions, supporting effective monitoring and maintenance of water quality to safeguard organism health in aquaculture applications. In this study, fabricated pH strips are used for data measurement, and a dataset spanning various pH levels has been developed. Using machine learning algorithms, voltage is predicted across these pH values, with random forest regression yielding the best prediction accuracy for different pH ranges. This approach enhances sensor precision and reliability, minimizing the need for manual calibration. Additionally, it enables real-time pH monitoring and effectively captures complex parameter relationships, offering a more efficient and sustainable solution for optimal water quality management in aquaculture. The random forest model worked remarkably well, with a low RMSE of 0.01V and a R-2 value of 0.99, indicating great accuracy and minimum error in voltage predictions. The high R-2 score indicates that the model explains nearly all of the variance in the data.

关键词： Sensor Calibration Machine Learning Random Forest Regression pH Measurement Voltage Prediction

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Numerical Solution to a Problem of Determining Parameters of Oil Field and Boundaries of Their Constancy Domains 2nd

Numerical Solution to a Problem of Determining Parameters of...

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2nd International Conference on information Technologies and Their Applications

作者： Rahimov, Anar Minist Sci & Educ Republ Azerbaijan Inst Control Syst B Vahabzadeh 68 AZ-1141 Baku Azerbaijan

ISBN: (纸本)9783031734168;9783031734175

The paper proposes an approach to the numerical solving the problem of determining the parameters of a two-dimensional mathematical model of oil filtration. The parameters are determined on the class of piecewise constant functions. It is important that in this case the problem is not only to identify parameters values, but also to identify the parameters constancy boundaries. The approach is based on reducing the initial identification problem to a finite-dimensional optimization problem of a network structure. To solve this finite-dimensional optimization problem we obtain formulas for the gradient of the functional in the space of coefficient values that determine the process parameters and the domain of constancy of the coefficients. These formulas allow to use effective first-order optimization methods, in particular, the gradient method. Some of the results of the carried out computer experiments are given. The obtained results show the efficiency of the proposed approach to the numerical solving the identification problem.

关键词： Mathematical Model of Filtration Parametric Identification Inverse Problem Constancy Domain of Parameter Functional Gradient First Order Optimization Methods

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Evidence on the Regularisation Properties of Maximum-Entropy Reinforcement Learning 7th

Evidence on the Regularisation Properties of Maximum-Entropy...

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7th International Conference on Optimization and Learning

作者： Boucher, Remy Hosseinkhan Semeraro, Onofrio Mathelin, Lionel Univ Paris Saclay Orsay France CNRS Lab Interdisciplinaire Sci Numer Orsay France

ISBN: (纸本)9783031779404;9783031779411

The generalisation and robustness properties of policies learnt through Maximum-Entropy Reinforcement Learning are investigated on chaotic dynamical systems with Gaussian noise on the observable. First, the robustness under noise contamination of the agent's observation of entropy regularised policies is observed. Second, notions of statistical learning theory, such as complexity measures on the learnt model, are borrowed to explain and predict the phenomenon. Results show the existence of a relationship between entropy-regularised policy optimisation and robustness to noise, which can be described by the chosen complexity measures.

关键词： Maximum-Entropy Reinforcement Learning Robustness Complexity Measures Flat Minima Fisher information Regularisation

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Performance Evaluation of Parallel Processing Adder Against Basic Adders on FPGAs 5th

Performance Evaluation of Parallel Processing Adder Against ...

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5th International Conference on Computing science, Communication and Security

作者： Fichadia, Dhaval Purohit, Kishor Soni, Bhavesh Einfochips Ltd Ahmadabad India Ganpat Univ Mehsana India

ISBN: (纸本)9783031751691;9783031751707

Adders are essential components of modern digital circuits, and their primary design goal is to achieve high speed. However, power consumption and chip area are also important considerations in modern circuit design. Optimizing digital adder performance plays a crucial role in enhancing the speed of binary operations within complex circuits. Various architectures address the carry propagation bottleneck, each with its own strengths and weaknesses. Choosing the most appropriate architecture depends on the specific application requirements, ensuring optimal performance within the available resource constraints. This paper provides a comprehensive analysis of various adder topologies and their performance characteristics. By carefully considering the trade-offs between delay, power consumption, and area, engineers can choose the optimal architecture for their specific application requirements, leading to significant improvements in digital system performance and efficiency. The analyzed adder topologies include Ripple Carry Adder (RCA), Carry Lookahead Adder (CLA), Carry Skip Adder (CSK), Carry Select Adder (CSLA), Carry Increment Adder (CIA), Brent kung adder (BKA), Kong stone adder. The analysis is conducted using HDL on the Xilinx ISE 14.7 platform.

关键词： Finite impulse response (FIR) Ripple carry adder (RCA) Carry Look Ahead Adder (CLA) Carry Select Adder (CSLA) Carry Increment Adder (CIA) Carry Skip Adder Kogge Stone Adder (CSKa) Arithmetic-logic unit (ALU) Parallel prefix adder (PPA)

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A Reinforcement Learning Algorithm for Dynamic Job Shop Scheduling 5th

A Reinforcement Learning Algorithm for Dynamic Job Shop Sche...

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5th International Conference on Innovative Intelligent Industrial Production and Logistics

作者： Alcamo, Laura Bruno, Giulia Giovenali, Niccolo Politecn Torino I-10129 Turin Italy

ISBN: (纸本)9783031807596;9783031807602

The job shop scheduling problem, a notable NP-hard problem, requires scheduling jobs with multiple operations on specific machines in a predetermined order. A strong assumption is that all the information of the manufacturing environment is known in advance and there is no modification during the scheduling process. However, the real-world environment is significantly affected by uncertainties. The dynamic job shop scheduling is a variant of the job shop scheduling problem in which the scheduling environment is subject to changes over time including variations in job arrival times, processing times, machine breakdowns, resource availability and job priority. To address this issue, this paper presents a single-agent reinforcement learning algorithm, which implements a proximal policy optimization that uses masking to reduce the search space and improve efficiency. The algorithm was tested in both deterministic and dynamic environments and compared to traditional scheduling methods. The results demonstrate that the proposed approach is comparable to traditional methods in deterministic cases and outperforms them in dynamic environments. These findings emphasize the potential of reinforcement learning in addressing and optimizing complex scheduling challenges.

关键词： Job shop scheduling Dynamic job shop scheduling Industry 4.0 Combinatorial optimization Reinforcement learning Artificial intelligence

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Approaching Single-Episode Survival Reinforcement Learning with Safety-Threshold Q-Learning 7th

Approaching Single-Episode Survival Reinforcement Learning w...

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7th International Conference on Optimization and Learning

作者： Perotto, Filipo Studzinski Nargeot, Melvine Ouahbi, Aymane Off Natl Etud & Rech Aerosp DTIS Toulouse France

ISBN: (纸本)9783031779404;9783031779411

Survival Reinforcement Learning is a specific type of RL problem constrained by a risk of ruin. The underlying stochastic sequential decision process with which the agent interacts includes a budget that evolves over time with the received rewards and must remain positive throughout its entire lifetime. The goal is to find a good trade-off between exploration, exploitation, and safety during a single learning episode, maximizing rewards while managing the available budget to minimize the probability of ruin. Existing approaches do not provide satisfactory solutions to this problem. This paper introduces the safety-threshold heuristic, which is used to extend the standard Q-Learning method. A simulated grid environment is used to evaluate its performance.

关键词： Safe Reinforcement Learning Budgeted Stochastic Process Lifelong Learning Safety-Threshold Q-Learning Single-Episode RL

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Hydrogen as an Energy Vector: Analysis of the Global Development on Decision-Making Support Systems 1

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4th International Conference on Advanced Research in Technologies information Innovation and Sustainability-ARTIIS-Annual

作者： Velastin, Natalia Espinoza Perez, Andrea Santander, Pavlo Univ Santiago Chile USACH Dept Ind Engn Fac Engn Santiago Chile Univ Santiago Chile USACH Program Dev Sustainable Prod Syst PDSPS Fac Engn Santiago Chile

ISBN: (数字)9783031832079

ISBN: (纸本)9783031832062;9783031832079

Today, the implementation of energy systems based on renewable energies is proposed as one of the different measures to address climate change. However, in this context, investments in the security and robustness of these systems are crucial. Among renewable energy sources, hydrogen production has emerged as an environmentally friendly energy solution for addressing climate change. However, regarding the systematic literature review presented in this research, there are still several research challenges in decision-making for designing a hydrogen supply chain. No study has assessed the hydrogen supply chain with all its stages from a sustainable perspective. Furthermore, despite their potential, a significant challenge is developing hydrogen in Africa and Latin America.

关键词： Hydrogen Supply Chain Sustainability

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A Conceptual Framework for Digitalized Payment Systems in South Africa 4th

A Conceptual Framework for Digitalized Payment Systems in So...

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4th International Conference on Society 5.0

作者： Walaza, Mvelo Eybers, Sunet Univ South Africa Pretoria South Africa

ISBN: (纸本)9783031714115;9783031714122

SouthAfrica is regarded as a dual economy in which a significant financial and digital gap exists between people who live in rural, underdeveloped areas and those who live in urban, developed areas. The people who live in rural areas are often referred to as financially excluded because they do not fully participate in the country's economy. In such environments, the financially excluded frequently travel long distances to access financial products and services. A payment system is any system used to settle financial transactions by transferring monetary value. The digitalization of payment systems, in the context of this study, refers to the modernization and enhancement of payment systems using innovation and technology. This paper explores digitalizing South African payment systems so that the financially excluded can access basic banking. Financial inclusion refers to people and businesses accessing good banking resources, financial products, and services - resulting in improved economic growth. The study is underpinned by the Technology-Organization-Environment (TOE) framework as a lens to understand TOE elements relevant to the digitalization (technology) assisting the South African banking industry (organization) in its attempt to foster financial inclusivity of those living in the rural areas (environment). This study used a systematic review of the literature to propose a conceptual research framework that could be used to investigate the digitalization of payment systems in the South African banking industry for financial inclusion.

关键词： digitalized payment systems financial inclusivity Technology-Organization-Environment framework

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