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Performance and Complexity Tradeoffs of Feature Selection on Intrusion Detection System-Based Neural Network Classification with High-Dimensional Dataset 2nd

Performance and Complexity Tradeoffs of Feature Selection on...

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2nd international conference on Emerging Technologies and Intelligent Systems, ICETIS 2022

作者： Alasad, Qutaiba Hammood, Maytham M. Alahmed, Shahad Department of Petroleum Processing Engineering Tikrit University Tikrit Iraq Department of College of Computer Science and Mathematics Tikrit University Tikrit Iraq

ISBN: (纸本)9783031252730

In the realm of cyber security, particularly in the area of network security, IDS has recently attracted researchers’ attention since it has been considered one of the most powerful techniques incorporated to identify harmful activity in a network system. A functional IDS examines incoming to and outgoing from the public or private network traffic data and gives warnings once malicious data are detected. Network traffic has been quickly increasing in recent years, and unfortunately conventional IDS-based solutions, which rely mostly on signatures and restrictions, are incapable to handle massive volumes of data and prohibit novel attack events and plans. Anomaly detection-based Deep Learning (DL) techniques are more adaptable and powerful with big data than conventional approaches, and this renders them appealing to scholars. The aforementioned challenges motivate us to present our technique. The major aim of this article is to implement a lightweight IDS-based Neural Network (NN) incorporating feature selection suitable for applications that do not require very high accuracy. In our experiment, we first train our model utilizing the newer dataset with higher-dimensional, CSE-CICIDS2018, to evaluate the model performance. Then, we retrain the dataset with feature selection approach, namely Recursive features elimination (Rfe), to reduce the model complexity. Finally, our research shows that our proposal outperforms the state-of-the-art in terms of model complexity and accuracy when Rfe method is applied, where the model accuracy is better than the one in the state-of-the-art by about 10%. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Network security

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Application of BIM in Underground Continuous Wall 2

Application of BIM in Underground Continuous Wall

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2nd IEEE international conference on artificial Intelligence in Everything, AIE 2022

作者： Zhang, Yanqiu Xuzhou College of Industrial Technology School of Architectural Engineering Xuzhou China

ISBN: (数字)9781665474009

ISBN: (纸本)9781665474009

Building Information Modeling (BIM) is the direct application of information technology in the construction industry. It has many advantages such as shared API data interfaces, high data integration, data consistency, data relevance and construction demonstration functions. It has been widely used and achieved remarkable results. In the 21st century, the development trend of Beijing city is to develop towards the sky and underground. Especially in the past ten years, with the increase of high-rise and super high-rise buildings in Beijing, and the booming development of subway construction. The underground continuous wall is a construction technology with very high use value whether it is used as the main body (or part of the main body) of the underground structure or as a waterproof and soil retaining facility during construction. However, in the Beijing area, the underground diaphragm wall (depth greater than 40 meters, width greater than or equal to 1.2 meters) due to the difficulty of the project, complex technology, and many construction problems, the relevant design and construction experience is less, and the relevant technical talents are scarce. The purpose of this article is to study the application of BIM in underground continuous walls. This article is based on the Microsoft Visual Studio 2017 development platform, based on the Visual C# programming language, using the API data interface provided by the Revit 2018 software, based on the built BIM model, for engineering quantity statistics, collision checking, drawing output, collaborative work and construction models. Wait for operations to show the application of BIM technology in the underground continuous wall. Experiments show that the use of the collision detection function of BIM technology can not only reasonably arrange pipelines, but also adjust the positions of brackets, buttresses and other components to facilitate the on-site installation of pipelines. The use of BIM technology can simulate th

关键词： Pipelines

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Historical Review of Mobile Robots with Moving Arm

Historical Review of Mobile Robots with Moving Arm

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Advances in engineering science and Technology (AEST), international conference on

作者： Abather Saad Kadhim Hayder Mahdi Abdulridha Ehab AbdulRazzaq Hussein Department of Electric Engineering University of Babylon Babil Iraq

The robotics industry has developed significantly in the last three decades due to the tremendous industrial development witnessed by factories and laboratories in various medical, military, service, and civil fields and device industries. This article reviews the most important and recent scientific studies, references, and literature that deal with controlling mobile robots with a moving arm. Several studies have been presented, especially those dealing with the mechanisms of control and controlling robots with a mobile arm, and the classification of controlling methods by mobile or self-programming. Various mobile robotics driving techniques, such as Wi-Fi, IoT, and microcontrollers, have been compared with their different advantages and applications.

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A Hybrid Cloud Security System using Cryptography

A Hybrid Cloud Security System using Cryptography

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international conference on Edge Computing and Applications (ICECAA)

作者： G. Sudhakar H. Azath Pachhaiammal Alias Priya M P. B. Edwinprabhakar Department of Computer Science and Engineering Sri Sai Ranganathan Engineering College Coimbatore Tamil Nadu India School of Computer Science and Engineering VIT Bhopal University Bhopal Madhya Pradesh India Department of Artificial Intelligence and Data Science Sri Sairam Institute of Technology Chennai Tamil Nadu India Department of Computer Science and Engineering New Prince Shri Bhavani College of Engineering and Technology Chennai Tamil Nadu India

Information security is a major problem in cloud computing systems as the information may be physically placed anywhere in any data center throughout the networks. Due to the nature of cloud computing, user authentication, information integrity, and confidentiality are all brought up as significant challenges. In order to ensure confidentiality, integrity, and authentications while storing and accessing information from and to the data center as well as in peer contacts; it is advised to adopt a better, innovative, secure security method. Cloud security is a rapidly expanding area of computer and networks securities. In the cloud platforms paradigm, external data centers are used. It supports a range of programming languages used in the process of deploying web applications. The Cloud is built on a managed containers architecture that integrates information services and robust ecosystems for the deployment and operation of modern apps. In cloud computing, data securities are a major challenge that is dealt with using cryptographic methods. One potential method for encrypting data is the Advanced Encryption Standard (AES). After developing a cloud platform, the AES algorithm for encryption and the Data Encryption Standard (DES) method for decryption will be used in this work to secure data. The performance study suggests that DES and AES cryptography can be used to secure data. Calculations of data encryption and decryption delay also show that increased data delay periods are caused by bigger data volumes.

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1st international Virtual conference on Visual Pattern Extraction and Recognition for Cultural Heritage Understanding (VIPERC 2022) 1

1st International Virtual Conference on Visual Pattern Extra...

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1st international Virtual conference on Visual Pattern Extraction and Recognition for Cultural Heritage Understanding, VIPERC 2022

作者： Amelio, Alessia Montelpare, Sergio Ursino, Domenico InGeo University "G. d’Annunzio" Chieti-Pescara Viale Pindaro 42 Pescara65127 Italy DII Marche Polytechnic University Via Brecce Bianche 12 Ancona60131 Italy

This document introduces the 1st international Virtual conference on Visual Pattern Extraction and Recognition for Cultural Heritage Understanding (VIPERC 2022), a premier forum for presenting the state-of-the-art, new research, ongoing work, academic and project reports in advanced statistics and machine learning, 3D modelling and simulation, knowledge representation, intelligent systems, information retrieval and software engineering, for visual pattern extraction, analysis and recognition to preserve the cultural heritage. © 2022 Copyright for this paper by its authors.

关键词： 3D modeling

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Optimal Demand Response of a Gas–Steam–Power Systems in Iron and Steel Enterprises Considering Internal Production Constraints

Optimal Demand Response of a Gas–Steam–Power Systems in Ir...

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Power science and Technology (ICPST), IEEE international conference on

作者： Yu Ji Dawei Hu Yuqi Zhao Huan Ma Nan Meng Hengyu Liu Jiazheng Sun Qun Chen School of Electrical and Control Engineering Liaoning Technical University Huludao China Electric Power Research Institute of State Grid Liaoning Electric Power Co. Ltd State Grid Liaoning Electric Power Supply Co. Ltd Shenyang China Department of Engineering Mechanics Tsinghua University Beijing China Department of Engineering Mechanics North China University of Technology Tsinghua University Beijing China

ISBN: (数字)9798350349030

ISBN: (纸本)9798350349047

Fully tapping into the flexibility potential inherent in iron and steel enterprise and fostering its friendly interactions with the power grid are key directions for future development. Gas, steam, and electricity constitute the three essential secondary energy sources in iron and steel enterprise, and their integration forms a flexible and schedulable energy system. This study, with the objective of minimizing energy system operational costs, employs Mixed-Integer Linear programming (MILP) to establish a gas-steam-power coupled scheduling model that accounts for internal production constraints. The energy system engages in demand response as a virtual power plant, by optimally allocating the utilization of gas, steam, and power. Under the TOU tariff, the power regulation range of the virtual power plant reaches approximately 26.94% of the purchased power when not participating in TOU, unveiling the enormous potential for load regulation within the iron and steel enterprise.

关键词： Costs Electricity Cogeneration Tariffs Production Virtual power plants Iron

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Impact of Graph Compression on Solving the Two-Dimensional Strip Cutting Problem 2

Impact of Graph Compression on Solving the Two-Dimensional S...

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2nd IEEE international conference on Signal, Control and Communication, SCC 2021

作者： Mrad, Mehdi Ali, Tamer G. Balma, Ali Gharbi, Anis Samhan, Ali Louly, Mohamed Aly King Saud University Industrial Engineering Dept. Riyadh Saudi Arabia Université de Tunis Ecole Nationale Supérieure d'Ingénieurs de Tunis Tunis Tunisia Ecole Supérieure Polytechnique Mauritanie Algeria

ISBN: (纸本)9781665402705

We address the problematic of cutting m rectangular items from a two-dimensional strip. Each item has a given width, height, and demand. The purpose is to minimize the height of the used strip, while respecting the two stages of guillotine cuts. We consider the arc-flow formulation for this NP-hard problem and propose to enhance it using graph compression techniques. Computational results on real-world data show a consistently promising impact of the graph compression in terms of computation time and graph size. © 2021 IEEE.

关键词： Integer programming

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User's balanced evaluation of sensitive influence based on time factor 2

User's balanced evaluation of sensitive influence based on t...

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2nd international conference on Industrial IoT, Big Data, and Supply Chain 2021

作者： Zhang, Yunfei He, Jun Wen, Jin Chen, Zhenting School of Information Engineering Kunming University Kunming China

ISBN: (数字)9781510651333

ISBN: (纸本)9781510651326

In this paper, the stochastic user equilibrium model and its optimization conditions are studied. At the same time, the first and second order differential information of the objective function is reasonably used to deduce the corresponding sensitive influence equilibrium evaluation model according to the nonlinear programming theory. In this paper, we study mainly derived from the road, traffic demand, free travel time and link capacity three variables, and then on a small network model to implement sensitivity analysis of numerical experiments, the final results show that the sensitivity calculation can be integrated into the network model in the solving process, does not need to increase the number of actual calculation, plays a positive role on the various elements of the network model. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Nonlinear programming

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Implementation of Large Instrument Sharing Platform Based on District, University and Enterprise 2

Implementation of Large Instrument Sharing Platform Based on...

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2nd international conference on Computing and Data science, CONF-CDS 2021

作者： Huang, Yingying Xie, Nan Ni, Yiran Lu, Qiaofeng Chen, Weimin College of Information Engineering and Art Design Zhejiang University of Water Resources and Electric Power Hangzhou China College of Mechanical and Electrical Engineering China Jiliang University Hangzhou China

Large-scale instruments sharing platform has been completed based on using Java language to program, and using spring Boot framework technology for building the background project, and using MySQL database to store the data, and using Vue to design the front-page, which will been shared and used in District, University and Enterprise. The test system of eclipse is used for case test to realize the sharing function of large-scale instruments. Through this platform, the instruments' information and leasing of large-scale instruments can be understood in real time, and the status information, online use records, equipment using experience, and online booking, comments and customer service consultation can also be carried out on the platform, so as to make rational and efficient use of large-scale instruments, reduce the using waste of large-scale instruments, and be more conducive to the sustainable development of economy, science and technology and expand the scope of resource sharing. © Published under licence by IOP Publishing Ltd.

关键词： Java programming language

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An Approach for Load Flow and Load Dispatch Analysis of IEEE-9 Bus System

An Approach for Load Flow and Load Dispatch Analysis of IEEE...

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Ambient Intelligence in Health Care (ICAIHC), international conference on

作者： Harpreet Kaur Channi Ramandeep Sandhu Harpreet Kaur Parminder Singh Seema Gaba Jatinder Kaur Department of Electrical Engineering Chandigarh University Mohali India School of Computer Science and Engineering Lovely Professional University Jalandhar India

IEEE-9 bus system complexity and real-world applicability make it a benchmark for power system analysis and optimization. This article describes a method for IEEE-9 bus load flow and dispatch analysis. Load dispatch analysis optimizes generator dispatch to meet load demand, whereas load flow analysis determines steady-state operating characteristics such voltage magnitudes, phase angles, and power flows. Bus voltages are repeatedly calculated using the Newton-Raphson technique in load flow analysis to ensure system stability and voltage limitations. Assessing line flows and losses reveals system performance. The economic dispatch framework for load dispatch analysis minimizes generating costs while respecting generator capacity restrictions and load demand. Each generator's optimum generation levels are found via linear programming. The study illustrates these studies step-by-step, emphasizing data gathering, constraint formulation, and optimization. In order to analyze system dependability and performance, voltage profile analysis and sensitivity evaluations are described. This method helps engineers and planners optimize power system operation and setup and choose generator dispatch methods. System dependability, operational costs, and power production and distribution resource efficiency improve with the results.

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