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Innovation in technology (INOCON), IEEE International Conference for

作者： Saurabh G. rana Shefali Talati Manish J. desai Department of Electrical Engineering Faculty of Technology and Engineering The Maharaja Sayajirao University Vadodara India Department of R&D Electrical Research and Development Association Vadodara India

The power system needs to operate reliably and efficiently, with the distribution system being a critical component. distribution systems are prone to faults and malfunctions for several reasons. These issues can have a significant impact on the power grid, but their effects can be minimized quickly and accurately through fault diagnostics. Electric utilities face an ongoing challenge in promptly and precisely identifying and locating faults in the distribution system. AI tools can be an efficient method for accurately identifying these faults. There are several possible diagnostic methods, such as fuzzy logic, ANN (artificial neural network), ANFIS (adaptive neuro-fuzzy inference system), support vector machines, genetic algorithms, and matching approaches. Each technique has its own advantages and disadvantages. The paper has employed fuzzy logic for fault detection, identification, and location. This paper includes the study of multiple faults on different buses. Also, the identification and location of multiple faults are included. The simulation and algorithm development have been carried out in MATLAB/Simulink. Thus, fault detection, identification, and location have been done through a fuzzy logic algorithm.

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NLP-based Auto Generation of Graph database from Textual requirements

NLP-based Auto Generation of Graph Database from Textual Req...

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IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)

作者： Jagadish Shivamurthy Tarun Uppal deepti Vidyarthi Aeronautical Development Establishment Defence R&D Organization Bangalore India School of Computer Engineering and Mathematical Sciences Defence Institue of Advanced Technology Pune India

ISBN: (数字)9798350385922

ISBN: (纸本)9798350385939

Natural Language (NL) continues to be the preferred medium of expression for requirements, especially for multi-disciplinary systems such as the Flight Control System (FCS) of an Aircraft. The importance of a precise and unambiguous understanding of requirements for the project's success is established beyond question. This aspect is further amplified in the case of a safety-critical system such as FCS. UML diagrams from use case to activity to sequence diagrams are used to understand and analyze the requirements. While these diagrams have immense value, Graph databases add new benefits for analyzing and managing requirements. Graph databases are gaining popularity due to their simplicity, scalability, and benefits of visualization. In this paper, we propose an NLP-based method for auto-generating a graph database for textual requirements. We explore the benefits of representing requirements as a graph database that complements the other diagrams and fills a few gaps, specifically in requirements allocation, identification of interdependencies, and change management. Though we use the Neo4j graph database management system and Cypher query language, the concepts are generic. The proposed approach for auto-generation works on requirements expressed in the EArS (Easy Approach to requirementsSyntax) template. However, it can be extended for other templates or free-flowing text.

关键词： Visualization Scalability Unified modeling language Natural languages Ear database systems Visual databases

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design and implementation of the second-generation COSPAS-SArSAT distress beacon based on Sdr

Design and implementation of the second-generation COSPAS-SA...

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IEEE International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)

作者： Zheng renle Liu Wenxue Yang Chaosan Wan Jintao Li dongyang Li Jinhai Communications and Information Engineering R&D Center IMECAS Beijing China New Technology Development Department IMECAS Beijing China

COSPAS-SArSAT has currently completed the design of a new generation distress beacon systems, namely the second-generation distress beacon system. The second-generation distress beacon adopts dSSS-OQPSK as its basic signal modulation mode, while adopting a new signal detail structure. This paper provides a solution for the hardware implementation of the second-generation COSPAS-SArSAT distress beacon on Software-defined radio (Sdr). Firstly, the baseband signal that meets the definition format of the second-generation beacon standard was generated, and then the second-generation beacon was transmitted through the Universal Software radio Peripheral (USrP). By comparing with specific requirements of the second-generation distress beacon standard, the second-generation beacon generated by this paper can meet the requirements of the second-generation COSPAS-SArSAT distress beacon standard, and the method proposed in this paper has the advantages of flexibility and higher signal reconfigurability.

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Optimizing Laser drilling of Kenaf/HdPE Composites: A Novel CrITIC-MABAC Methodology 6th

Optimizing Laser Drilling of Kenaf/HDPE Composites: A Novel ...

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6th International Conference on Intelligent Computing and Optimization, ICO 2023

作者： Prabhukumar, Sellamuthu Chohan, Jasgurpeet Singh Kalita, Kanak Department of Mechanical Engineering Presidency University Bangalore India Department of Mechanical Engineering and University Centre for Research & Development Chandigarh University Mohali India Department of Mechanical Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Avadi India

ISBN: (纸本)9783031501579

In this paper, a novel hybrid multi-criteria decision-making (MCdM) methodology called the CrITIC-MABAC approach is introduced. It is applied in optimization of laser drilling of kenaf/high-density polyethylene (HdPE) composites. The objective is to simultaneously minimize the kerf taper angle (φ ) and surface roughness (ra ) by optimizing the two process parameters (namely laser power and cutting speed). To establish the efficacy of the CrITIC-MABAC, its results are compared with Entropy-MABAC approach. The optimal parametric combination is found to be at a laser power of 120W and cutting speed of 4 mm/s. Thus, the proposed CrITIC-MABAC method demonstrates its effectiveness and can be used as a means to achieve superior hole quality. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Surface roughness

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Underwater Object detection using Image Enhancement and deep Learning Models 11

Underwater Object Detection using Image Enhancement and Deep...

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11th European Workshop on Visual Information Processing, EUVIP 2023

作者： Tarekegn, Adane Nega Cheikh, Faouzi Alaya Ullah, Mohib Sollesnes, Erik Tobias Alexandru, Cornelia Azar, Saeed Nourizadeh Erol, Erdeniz Suciu, George Norwegian University of Science and Technology Department of Computer Science Gjovik Norway Usea Ocean Data Oslo Norway Beia Consult International Research & Development Department Bucharest Romania Obss Technology R&d and Ai Department Istanbul Turkey Elkon Elektrik San. Tic. A.S Istanbul Turkey

ISBN: (纸本)9798350342185

Autonomous underwater vehicles (AUVs) are efficient robotic tools, offering a wide range of applications in ocean exploration and research, such as oceanographic mapping, environmental monitoring, and archaeology. Incorporating an automatic object detection system with AUVs can substantially improve their ability to perceive and recognize objects in a complicated and often hazardous environment. Currently, detecting underwater objects relied on a man-in-the-loop approach, where AUVs captured vast amounts of data and saved them in memory for offline processing. This study investigates the use of deep learning for automatic image preprocessing and object detection, evaluating and comparing three state-of-the-art YOLO (You Only Look Once) models, including YOLOv8, YOLOv7, and YOLOv5. Extensive experiments were conducted using publicly available underwater image datasets, revealing that the pre-trained models attain superior performance on the Brackish dataset. YOLOv5 and YOLOv8 achieved the highest mean average precision (mAP) with a score of 99%, while YOLOv7 scored 89%. Furthermore, an underwater image enhancement algorithm is employed on the UrPC2021 dataset, significantly improving the detection accuracy with a 3% increase in mAP across all three models. In terms of inference speed, YOLOv5 demonstrated the highest frames per second (FPS), while maintaining comparable performance in mAP and recall. © 2023 IEEE.

关键词： Image enhancement

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Evolution of surface quality in micromilling Ti-6A1-4V alloy with increasing machined length

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Procedia CIrP 2024年 123卷 221-226页

作者： Maria Clara Coimbra Gonçalves rob Alsters david Curtis rachid M’Saoubi Hassan Ghadbeigi University of Sheffield Mechanical Engineering Department Mappin Street Sheffield UK R&D Materials and Technology Development Seco Tools AB Zandterweg 14 5973 RC Lottum Netherlands Advanced Manufacturing Research Centre University of Sheffield Rotherham S60 5TZ UK R&D Materials and Technology Development Seco Tools AB 737 82 Fagersta Sweden Division of Production and Materials Engineering Lund University Ole Römers väg 1 221 00 Lund Sweden

Micromilling is a subtractive manufacturing process that presents challenges due to scale effects and rapid tool wear. To understand the evolution of surface quality when increasing the machined length during the micromilling process, this study assessed the surface roughness, topography, and defects of slots micromilled on Ti-6A1-4V. For the experiments, 1 mm diameter flat end mills were employed, and the cutting parameters were varied using a full factorial design. Subsequently, the surface texture field parameter S a was assessed every 20 mm, up until the machining length of 260 mm. The analysed results led to the conclusion that, for the adopted set of parameters and the machining length of up to 260 mm, surface roughness was not significantly correlated to the machined length in the micromilling process of Ti-6A1-4V, as the Pearson coefficient, obtained from the correlation analysis, was -0.052. However, the surface roughness was mainly influenced by feed rate (Pearson coefficient of 0.82), with higher feed rates leading to roug surfaces (up to S a = 0.4 µm) duhere to the tool load increase that causes wider feed marks on the surface. regarding the feed marks, they were affected by the tool rotational frequency due to system vibration. Additionally, surface defects of adhered material, smearing, tearing and side flow were observed. For lower feeds, material adhesion was the main type of defect observed, while higher feed rates favoured the side flow phenomenon.

关键词： micromilling surface quality tool wear

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rapid detection of Four Foodborne Pathogens Based on Terahertz Time domain Spectroscopy

Rapid Detection of Four Foodborne Pathogens Based on Teraher...

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2024 IEEE International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale, 3M-NANO 2024

作者： Bian, Wenzhi Li, Song Zhang, Tingting Zhang, Shuhua Chen, Yujuan Li, Zhiping Changchun University of Science and Technology School of Life Science and Technology Changchun China Research and Development Center for Process and Analysis Methods Changchun GeneScience Pharmaceutical Co. Ltd. Changchun China Changchun GeneScience Pharmaceutical Co. Ltd. R&d Department Changchun China Academy of Military Medical Sciences Institute of Military Veterinary Medicine Changchun China

ISBN: (纸本)9798350362107

At present, with the improvement of people's living standards, food borne pathogens, as one of the biggest threats to food safety, are widely valued by people. Therefore, it is urgent to create a fast and efficient method for detecting foodborne pathogens. This article discusses the establishment of a fast and non-destructive detection method for foodborne pathogenic bacteria using terahertz time-domain spectroscopy. In this study, the bacterial dry powder of Cronobacter sakazakii was mixed with polyethylene with different mass ratios (0 %, 1 %, 5 %, 10 %, 20 %, 30 %, 40 %, 50 %, 100 % w/w) to make tablet, the thickness of the tablet is 1~1.4 mm, and the diameter is 1.4 cm, and the mass is 0.18 g. Transmission spectrum was used for detection. By observed and analyzed the absorption spectra, the waveforms of three groups of repeated data showed consistency, and there were obvious characteristic absorption peaks at 1.28 and 1.78 THz. The accuracy of clustering software analysis results is 100 %, which shows that the method has good stability and specificity. The detection limit of Cronobacter sakazakii is 1%. We have successfully established a terahertz time-domain spectral detection method for foodborne pathogens. This method is rapid, stable and sensitive, and has a broad application prospect. © 2024 IEEE.

关键词： Terahertz spectroscopy

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Ultra-reliable Low Latency ISAC System designs for Critical Application

Ultra-Reliable Low Latency ISAC System Designs for Critical ...

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2024 International Conference on Advances in Computing research on Science Engineering and technology, ACrOSET 2024

作者： Sarupriya, S. ramesh, P. Musuku, Sabitha Suman, Sanjay Kumar Manogna, devolla Kaliappan, S. Velammal Engineering College Department of Ece Chennai India Cmr Institute of Technology Dept. of Eee Bengaluru India Secunderabad India St. Martin's Engineering College Dept. of ECE and Dean R&d Secunderabad India Mlr Institute of Technology Dept. of Cse Hyderabad India Lovely Professional University Division of Research and Development Jalandhar India

ISBN: (纸本)9798350388800

An ISAC (Integrated System for Autonomous Control) system that fulfills severe requirements for important objectives is the topic of this research, which explores the obstacles and possibilities involved with its creation. Because of the importance of today's procedures, connectivity that is not only very stable but also has a low latency, is necessary. More specifically, the study focuses on the building of an ISAC system. It has been shown that there is a dynamic resource allocation system that is available. This system comprises intelligent bandwidth allocation, fault management, and work prioritization. We can demonstrate that the way that was recommended considerably improves the dependability of the system, as well as its latency and faultless operations, by using a number of different models and doing thorough research. The fact that this is the case makes it a workable answer for a broad range of significant tasks and applications. © 2024 IEEE.

关键词： MIMO systems

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Exploring the Potential of deep Learning in Parkinson's disease drug discovery

Exploring the Potential of Deep Learning in Parkinson's Dise...

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2024 International Conference on Advances in Computing research on Science Engineering and technology, ACrOSET 2024

作者： Kumar, ravula Arun Ponnrajakumari, M. Kumar, M ravi Nirisha, A. Chandrasekaran, raja Moharekar, Tejashree Tejpal Vardhaman College of Engineering Department of Cse Telanagana India Velammal Engineering College Department of Ece Chennai India Kl University Department of Cse Vijayawada India Mlr Institute of Technology Department. of Csit Telangana India Sagunthala R&d Institute of Science and Technology Department of Ece Chennai India Yashwantrao Chavan School of Rural Development Shivaji University Kolhapur India

ISBN: (纸本)9798350388800

Complex and complex neurological illnesses like Parkinson's disease (Pd) are difficult to investigate. This publication introduces 'Neural Pathway Profiling for Parkinson's disease drug discovery.' It leverages cutting-edge deep learning. GCNs explain molecular interactions, LSTMs examine temporal sequences, and VAEs learn by forming new patterns. Our research uses genes, proteins, and clinical data to explain how Parkinson's disease's various components interact in complex ways. LSTMs illustrate how clinical data is connected to time, GCNs reveal how molecules interact in biological networks, and VAEs discover hidden chemical structures for generative learning. The blended design reveals key brain connections and Parkinson's disease therapeutic targets. © 2024 IEEE.

关键词： drug discovery

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Competitive role of film-like austenite and transition carbides on hydrogen embrittlement resistance and impact toughness in bainite-containing quenched and partitioned steel

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Journal of Iron and Steel research International 2023年第4期30卷 782-794页

作者： Kai Yang Yi Luo Wei Li Li Wang Zhong-qu Sun Jun-liang Liu Xue-jun Jin Bao Steel-SJTU Joint Research Center of Future Steels School of Materials Science and EngineeringShanghai Jiao Tong UniversityShanghai 200240China State Key Lab of Metal Matrix Composites School of Materials Science and EngineeringShanghai Jiao Tong UniversityShanghai 200240China State Key Lab of Development and Application Technology of Automotive Steels(Bao Steel) Research Institute(R&D Center)Baoshan Iron&Steel Co.Ltd.Shanghai 200240China

A microstructure composed of martensite matrix,lower bainite,and stable film-like austenite was designed by a quenching and isothermal bainitic holding process in a 0.30C–2.69Mn–1.71Si(wt.%)*** yield strength,tensile strength,and ductile-to-brittle transition temperature(dBTT)of the high-strength steel thus obtained were 1263 MPa,1521 MPa,and-33℃,respectively,and at-20℃,it showed superior low-temperature toughness,which reached 77.5 J/cm^(2).Meanwhile,it showed excellent hydrogen embrittlement(HE)resistance,and the total elongation loss is only 3.1%after 15 min of hydrogen *** excellent comprehensive performance is attributed to the fact that fine stable austenite with film-like morphology hindered the crack nucleation and propagation,and hindered hydrogen diffusion as a hydrogen ***,with a decrease in the isothermal temperature,transition carbide precipitation was accompanied by a further decrease in austenite grain *** this condition,although transition carbides can act as effective hydrogen traps,excessive precipitation decreased the carbon content of retained austenite and increased the deformation heterogeneity between austenite and martensite matrix,leading to weakened austenite stability and HE resistance,a total elongation loss of approximately 39%(15 min hydrogen charging),a sharp decrease in impact toughness,and an increase in *** competitive role of film-like austenite and transition carbides on the comprehensive mechanical performance of steel is revealed,especially the suppression of crack nucleation and propagation that will provide a guide for the design of high strength steels with excellent impact toughness and HE resistance.

关键词： Quenched and partitioned steel Isothermal bainite transformation Transition carbide Hydrogen embrittlement Impact toughness

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