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LogGenST: A Framework for Synthetic Log Generation Using LLMs for Smart-Troubleshooting 25th

LogGenST: A Framework for Synthetic Log Generation Using LL...

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Topical Area: Software, System and Service engineering, S3E 2024, Held as Part of FedCSIS 2024, and 25th conference on Practical Aspects of and Solutions for Software engineering, KKIO 2024, held as part of SEAA 2024

作者： Partovian, Sania Flammini, Francesco Bucaioni, Alessio thornadtsson, Johan School of Innovation Design and Engineering Mälardalen University Västerås Sweden Sigma Technology Information Stockholm Sweden

ISBN: (纸本)9783031849121

Log files are essential for monitoring, diagnosing, and troubleshooting smart systems, capturing critical operational events. However, privacy concerns and limited access to real-world log datasets hinder the development and evaluation of anomaly detection techniques. Synthetic log generation has emerged as a viable solution to this challenge, enabling researchers to create diverse datasets that include both normal and fault-related logs. In this paper, we introduce novel methodologies for generating synthetic log files using Generative Adversarial Networks and Large Language Models. First, we propose a GAN-based approach, leveraging different GAN implementations to produce high-quality synthetic logs. A comprehensive evaluation reveals that CTGAN outperforms other models in generating realistic and varied log entries. Building on these findings, we present LogGenST, an innovative synthetic log generation framework that employs three LLMs in an adversarial setup. Unlike traditional GAN-based methods, LogGenST features a unique Prompt Engineer LLM that refines prompts based on feedback from generator and discriminator LLMs. this approach ensures temporal consistency, logical coherence, and domain-specific patterns without requiring extensive model training. Comparative analysis shows that LogGenST significantly enhances log authenticity, pattern consistency, and fault representation, supporting advanced smart-troubleshooting experimentation in industrial cyber-physical systems and the Internet of things. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Generative Adversarial Network Industry 4.0 Large Language Models Log Files Smart-Troubleshooting Synthetic Data

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design and Implementation of an Efficient Quantum Cost Optimized Adder Using Reversible Logic Gates

Design and Implementation of an Efficient Quantum Cost Optim...

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International conference on Electronics, Materials engineering and Nano-Technology (IEMENTech)

作者： Shatavisha Dasgupta Sourav Pandey Debjit Roy Agnik Maity Antarik Sinha Mihir Lal Saha dept. of Electronics and Communication Engineering Institute of Engineering & Management Under Univeristy of Engineering & Management kolkata Kolkata India

ISBN: (数字)9798331520762

ISBN: (纸本)9798331520779

In modern Very-Large-Scale Integration (VLSI) technology, managing information loss is a critical challenge. Conventional logic gates, such as AND, OR, and NOT, are prone to data loss during operations, reducing their efficiency for sophisticated applications. Reversible logic gates, which have an equal number of inputs and outputs, offer a solution by preserving data integrity. this paper presents the design and FPGA implementation of an efficient and high-speed full adder circuit utilizing reversible logic gates, namely Feynman, Toffoli, and Peres gates. the design focuses on improving computational efficiency and thermal performance. An analysis of the circuit's quantum cost, garbage outputs, and ancillary inputs reveals its advantages over traditional designs. Proposed design has been realized using Verilog and Synthesize and simulations performed using Xilinx Vivado and Xilinx ISE tools, confirms the functionality and efficiency of the proposed full adder. FPGA implementation of the design has been done using NEXYS A7 (Artix 7 series). the results show that the circuit has a quantum cost of 10, with two garbage outputs and one ancillary input, underscoring its potential for use in low-power, high-performance computing systems and quantum computing applications.

关键词： Performance evaluation Costs Quantum computing Simulation Logic gates Very large scale integration thermal management Hardware design languages Adders Field programmable gate arrays

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FPGA-Based 3D EM/MPM Simulation Framework for Medical Image Segmentation Applications

FPGA-Based 3D EM/MPM Simulation Framework for Medical Image ...

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International conference on Electronics, Materials engineering and Nano-Technology (IEMENTech)

作者： Samit Karmakar Arindam Chakraborty Saptarshi Banerjee Ayantika Mondal Satavisha Dutta Sayak Nandi Electronics & Communication Engineering Dept. Institute of Engineering & Management University of Engineering & Management Kolkata India

ISBN: (数字)9798331520762

ISBN: (纸本)9798331520779

Medical image segmentation is a critical process in identifying disease-infected regions for diagnostic and treatment purposes. this paper introduces an FPGA-based framework for implementing the Expectation Maximization/Markov Random Field (E M/MP M) algorithm in 3D medical image segmentation. FPGA platforms offer unparalleled advantages in terms of parallel processing, speed, and energy efficiency, making them a promising choice for real-time medical image analysis. this proposed framework enables rapid segmentation of 3D images, leveraging the FPGA's on-chip memory and custom logic for efficient pixel classification and data processing. the adaptive design also supports the integration of external RAM for larger datasets. Simulated using Verilog HDL and Quartus Prime, this work demonstrates accurate segmentation results through virtual testing, thus showcasing the system's robustness for medical applications.

关键词： Image segmentation three-dimensional displays Random access memory Medical services Parallel processing Real-time systems Energy efficiency Hardware design languages Medical diagnostic imaging Field programmable gate arrays

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Review of Machine Learning Models for Photonic Crystal

Review of Machine Learning Models for Photonic Crystal

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International conference on Electronics, Materials engineering and Nano-Technology (IEMENTech)

作者： Ankita Saha Jisan Mitra Rajib Ghosh Institute of Engineering and Management Kolkata India

ISBN: (数字)9798331520762

ISBN: (纸本)9798331520779

Photonic crystals (PhCs), with their periodic dielectric structures and unique light-controlling capabilities, are essential in contemporary photonics for applications like waveguides, filters, and resonant cavities. Traditional computational techniques for PhC analysis and design are often time-consuming and demanding. Machine learning (ML) offers efficient and scalable alternatives in this field. this review examines ML models, such as artificial neural networks (ANNs) and generative adversarial networks (GANs), in PhC design and analysis. ANNs forecast optical properties like effective mode area, dispersion relations, and confinement losses, reducing computation time. GANs generate innovative PhC designs and tackle complex optimization challenges. Despite obstacles like overfitting and dataset constraints, these models show potential in streamlining PhC research. this paper explores the methodologies, achievements, and limitations of these ML models, emphasizing their role in advancing photonic device design and optimization. As innovation continues, ML is set to revolutionize PhC research, enabling rapid prototyping and new opportunities in photonics.

关键词： Optical filters Technological innovation Optical design Computational modeling Machine learning Optical computing Artificial neural networks Generative adversarial networks Optimization Photonics

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design of a precision irrigation nursery system based on binocular vision system

Design of a precision irrigation nursery system based on bin...

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IEEE Information Technology and Mechatronics engineering conference (ITOEC)

作者： Huiling Li Zongzhi Xie Caiping Yu Dongyan Ren School of Computer and Information Engineering Guangxi Vocational Teachers College

ISBN: (数字)9798331529482

ISBN: (纸本)9798331529499

In response to the increasing demand for precision irrigation technology in smart agriculture, this study designed and studied a precision irrigation seedling system based on a binocular depth camera. In order to solve the problem of seedling data collection and precise control of the robotic arm, the 3D mapping and neural network recognition technology of binocular depth camera were used to comprehensively analyse the growth environment and species of the seedlings to obtain the key parameters of water demand analysis. In addition, the system analyses the distance between the water-deficient part of the seedling and the robotic arm through depth ranging, calculates the coordinate system and precisely controls the robotic arm for irrigation. the simulation experimental results show that the system effectively improves the irrigation accuracy and efficiency, provides a feasible solution for smart agriculture, and provides a new reference for water-saving irrigation and crop growth monitoring.

关键词： Smart agriculture Irrigation Accuracy Robot kinematics Heuristic algorithms Robot vision systems Object detection Cameras Manipulators Solids

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Research on the Influencing Factors of Multi-medium Coupled Wellbore thermodynamics in Ultra-Deep Well Drilling of 10,000 m 30th

Research on the Influencing Factors of Multi-medium Coupled ...

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30th International conference on Computational and Experimental engineering and Sciences

作者： Zhang, Hengrui Liu, Ke Guan, Kang Xi, Xiaowan Liao, Maolin Beijing Univ Sci & Technol 30 Xueyuan Rd Beijing 100083 Peoples R China China Natl Petr Corp Engn Technol Res Inst Co Ltd Bldg 1Courtyard 5Huanghe St Beijing 102200 Peoples R China

ISBN: (纸本)9783031774911;9783031774898;9783031774881

the exploration and development of global oil and gas resources are extending into deep strata reaching depths of 10,000 m, where wellbore temperatures during drilling processes can exceed 220 degrees C. It is imperative to implement temperature control measures for circulating fluids in the wellbore to prevent failure or damage to the drilling equipment due to excessively high operational temperatures. To achieve this temperature control, numerical simulations are necessary to assess the temperature distribution and heat exchange within the wellbore and tubing systems of these ultra-deep wells, thereby guiding the proper management of wellbore fluid temperatures. Unlike conventional wellbore temperature models, ultra-deep wells with extended depths and complex tubing structures are highly sensitive to minor errors, which can significantly impact the thermodynamic parameters of the wellbore. this paper establishes a "thermal-fluid-solid" multi-medium coupled wellbore thermodynamic model, taking into account factors such as varying geothermal gradients, multiple heat sources within the wellbore, and complex tubing dimensions. the model is solved using a successive over-relaxation iterative method after dividing the wellbore into dynamically complex, non-uniform grids, providing a detailed analysis of the temperature distribution and heat flux under various influencing factors. the results indicate that while the size and structure of the drill string have minor effects on temperature distribution, the geothermal gradient, thermal properties of the drilling fluid, and the thermal conductivity of the drill string system significantly influence the wellbore temperature distribution. Notably, the geothermal gradient largely determines the trend in temperature distribution changes, while the thermal properties of the drilling fluid play a crucial role in the numerical values of wellbore temperatures.

关键词： Ultra-deep drilling Model solving Heat exchange Wellbore temperature distribution analysis of influencing factors

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design and Implementation of UML-based Welding Management System

Design and Implementation of UML-based Welding Management Sy...

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IEEE Information Technology and Mechatronics engineering conference (ITOEC)

作者： Zihan Zhou Tao He Key Laboratory of Optoelectronic Technology and Intelligent Control Ministry of Education Lanzhou Jiaotong University Institute of Automatic Control Lanzhou Jiaotong University Lanzhou China Lanzhou Jiaotong University Research Institute

ISBN: (数字)9798331529482

ISBN: (纸本)9798331529499

In a rapidly growing manufacturing environment, students and corporate tradesmen play a vital role in welding *** technology, as a basic and critical skill, occupies a pivotal place in the training system of colleges and ***, in order to more effectively meet the needs of the industry and enhance the market competitiveness of students, the welding training platform is in urgent need of intelligent and safe reform and *** paper in-depth study of the ‘ theoretical assessment and physical training’platform host computer management software design and development, the use of UML software modelling technology, a comprehensive introduction from the needs analysis to the platform to build the various stages, to ensure that the system's scalability.

关键词： Training Software design Mechatronics Welding Scalability Object oriented modeling Unified modeling language Software Manufacturing Information technology

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Effect of Rotational Springs on Foundation Response of a three Dimensional Finite Element Model 8th

Effect of Rotational Springs on Foundation Response of a Thr...

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8th Indian Young Geotechnical Engineers conference, 8IYGEC 2021

作者： Dixit, Shilpa Phanikanth, V.S. Srinivas, K. Bhabha Atomic Research Center Mumbai Trombay India

ISBN: (纸本)9789819613670

Soil structure interaction effects must be considered in the design of all important facilities such as industrial structures etc., particularly when the contribution of significant modes in the dynamic analysis is at high frequencies/low time periods (say T = 0 to 0.5 s). In many real life problems majority of design offices consider the effects of translational springs whereas the effects of rotational springs are often ignored. this may be based on the assumption that application of translational springs also contribute indirectly to the rotational effects. However FE model based on translational springs alone remains an approximation and thus such models do not represent the rotational spring stiffness effects in totality and hence the effect of the same on the overall foundation system needs to be investigated. In the present study, an attempt has been made to obtain the effect of rotational springs on the response of a raft foundation. the results of a detailed 3D FE model, considering the soil structure stiffness effects based on the impedance function approach as per ASCE 4–16 are presented both for translational springs of only the FE model and also considering spring stiffness of all translations and rotations at each node of the base raft of the FE model. the nodal stiffness is derived based on the contributory areas. Finally, conclusions are drawn based on the obtained results of the above FE models. the foundation raft response is validated with available analytical solutions in literature. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Dynamic analysis Raft Rotational springs Soil structure interaction

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Ultra Wide-band Polyphase Channelized Spectrum Sensing System design Based on RFSoC

Ultra Wide-band Polyphase Channelized Spectrum Sensing Syste...

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IEEE Information Technology and Mechatronics engineering conference (ITOEC)

作者： Zibin Chen Chenzi Zhang Shengkai Ruan Jun Hu Zengping Chen School of Electronics and Communication Engineering Sun Yat-Sen University (Shenzhen) Guangdong China

ISBN: (数字)9798331529482

ISBN: (纸本)9798331529499

this paper proposes a channelized spectrum sensing system design and implementation based on AMD RFSoC 1 , enabling a 5-Gsps, full-band acquisition at a quantization of 16 bits through dual-channel RF-ADC. To address the issue of post-processing and transmission difficulties caused by time domain aliasing in wide-band signals, a 16-channel, 20-tap polyphase channelizer is implemented, with a fixed-point parallel FFT module included. the channelized samples are subsequently packaged and transmitted to the backend server via QSFP28 optical modules and a PCIE acquisition card. the frontend implemented on RFSoC utilizes 13% of the LUTs, 37% of the DSP48s and 33% of the BRAMs available on the device, and achieves timing closure at 500MHz. Evaluation test presented shows the capability of the channelized spectrum sensing system towards the complex electromagnetic environment.

关键词： Wireless communication Filter banks Sensors Timing Table lookup System-on-chip Servers Time-domain analysis System analysis and design Ultra wideband technology

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Cost-Effective and Sustainable design: A Review of the Variables that Contribute to Exorbitant Rental Rates in PNG 5th

Cost-Effective and Sustainable Design: A Review of the Varia...

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5th International conference on Innovative Product design and Intelligent Manufacturing systems, ICIPDIMS 2023

作者： Kasup, Collettah Mohamed, Aezeden Department of Business Studies PNG University of Technology LaeMP411 Papua New Guinea Department of Mechanical Engineering PNG University of Technology LaeMP411 Papua New Guinea

ISBN: (纸本)9789819767311

Lae, the second-largest city in Papua New Guinea, has witnessed a significant rise in rental property prices over the last ten years, causing a strain on the finances of many of its citizens. Various factors, such as population growth, a shortage of formal housing, rising construction costs, and limited access to housing finance, have contributed to this sharp increase in rent. the rise in rental costs has made it increasingly difficult for residents of Lae, particularly those from middle and lower-income backgrounds, to find affordable housing. Currently, over thirty percent of households spend more than thirty percent of their income on rent, which is extremely unaffordable housing. Additionally, an increasing number of Lae’s population faces the risk of homelessness and displacement due to the inadequate supply of housing available to them. this case study aims to explore the primary reasons behind the significant increase in Lae’s rental housing costs over the past decade. It will examine the impact on different communities and socioeconomic groups and highlight the gaps in legislation. the study will provide valuable insights on how the government, developers, landlords, and other stakeholders can work together to improve the affordability of housing in Lae. With a focus on excessive rent, this analysis seeks to establish a data-driven foundation to address this pressing issue, negatively impacting a large portion of Lae's population. By working together, the community can find innovative solutions to this issue that benefit everyone and we hope that this study will serve as a catalyst for positive change. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Formal rental housing Housing finance Lae Landlords Rental property Tenants

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