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An Efficient Fully Automated detection of Mucormycosis Using Three-dimensional deep Learning on Computer Tomography Studies

An Efficient Fully Automated Detection of Mucormycosis Using...

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2023 International Conference on recent Advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence, rAEEUCCI 2023

作者： Shivaanivarsha, N. Kavipriya, P. Shyamkumar, M. Sathyabama Institute of Science and Technology Department of Ece Chennai India Sri Sairam Engineering College Chennai India R&d Executive Research & Development Vision Chennai India

ISBN: (纸本)9798350337426

In recent days, many people die of pulmonary embolism (PE) complications, respiratory problems that form in the deep lung. Covid-19 is the leading cause of preventable hospital death for trauma patients and despite 0.1% of the population receiving a new diagnosis annually. developing computer-aided detection (CAd) systems would alleviate these concerns;however, current systems classify computed tomography (CT) slices individually and yield many false positives from Covid-19. We have done a retrospective study on a dataset collected from various health central hospitals. There is a continued need for tools that can predict Covid and black fungal in hospitalized patients. It affects an estimated 3000-6000 Individuals just in recent days. This can cause considerable morbidity and mortality. For segmentation and classification, we mortality. For segmentation and classification, we use a 2d dense-Net. By developing more effective detection algorithms, we hope to ensure a more frequent and accurate diagnosis of covid, thereby reducing its high mortality rate. reports have shown that black fungus is steadily increasing in India as well as the death toll it causes. It has been called 'a pandemic within the Covid-19 pandemic' by medical specialists. Black fungus, or Mucormycosis, is a complication caused by a fungal infection. In India Mucormycosis has been detected in Karnataka, Uttarakhand, Telangana, Madhya Pradesh, Andhra Pradesh, Haryana, and Bihar, Primarily, fungal spores floating in the environment gives people this infection. This spreads through contact. The fungi sticks to a body part and travels inside through the nose, lungs or sinus. © 2023 IEEE.

关键词： Fungi

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Advanced 4d drilling dynamics Model Simulates downhole Vibration and Helps to Optimize in Preventing drill String Failure

Advanced 4D Drilling Dynamics Model Simulates Downhole Vibra...

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2024 SPE Asia Pacific Oil and Gas Conference and Exhibition, APOGCE 2024

作者： Zhang, Jiawei Wang, Qing du, Shiliang Zhuo, Lubin Liu, Wei Ling, Bo CNPC Engineering Technology R&D Company Limited Beijing China China National Oil and Gas Exploration and Development Company Limited Beijing China Drilling and Production Technology Research Institute PetroChina Qinghai Oilfield Company Gansu Dunhuang China

ISBN: (纸本)9781959025269

downhole vibration, such as backward or chaotic whirling, is one of the primary causes for drill string failure during drilling operation. Understanding drilling dynamics is crucial for determining the mechanism of vibration and fatigue accumulation so as to mitigate risk of drill string failure. drilling dynamics or vibration data can either be obtained from real-time measurement or simulation based on dynamics model, which plays a crucial role for drilling optimization in pre-drill planning phase. An advanced 4d drilling dynamics model, which considers the interaction between drill bit and formation, impact and friction between drill string and wellbore, constraints exerted on drill string and drill bit, is proposed to simulate the distribution and variation of 3d displacement, velocity, acceleration as well as the stress state of entire drill string within specified time period. This time domain model allows exploration of the full range of dynamics response under different drilling scenarios, which helps to optimize the performance and reliability of BHA as well as WOB/rPM selection. Moreover, drill string fatigue life prediction can also be achieved by combing simulated stress state and fatigue accumulation theory. Simulation shows that BHA with smaller- sized drill collar or fewer stabilizers are more susceptible to backward and even chaotic whirling while drilling. Also, inappropriate WOB/rPM combinations such as low WOB with high rPM could also cause the onset of severe lateral vibration. High frequency bending stress, mainly concentrated on BHA and caused by lateral vibration, is the main reason for rapid fatigue accumulation and continuous severe vibration could even result in drill string fatigue failure within hours. These findings helped to justify the 5 consecutive BHA failure and 1 washout while drilling the 171/2" wellbore with 7621 ft length of an ultra-deep well. Simulation also showed that downhole lateral vibration severity was significantly redu

关键词： drill collars

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EMI Noise Analysis Using Frequency domain Simulation Considering dynamic Semiconductor Characteristics in Flyback Converter Circuits

EMI Noise Analysis Using Frequency Domain Simulation Conside...

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Asia-Pacific Symposium on Electromagnetic Compatibility (APEMC)

作者： Taiki Kai Tatsuki Kashihara Koji Kobayashi R&D Center Electronic Technology Development Unit Sanden Corporation Isesaki-City Japan

ISBN: (数字)9784885523472

ISBN: (纸本)9798350349498

We propose a hybrid analysis method that uses a general SPICE simulator to perform high-speed and high-precision conduction noise analysis of flyback converter circuits. Time domain analysis, generally used for conducted noise analyses, is disadvantaged by its long analysis time. Frequency domain analysis, which requires a shorter analysis time, is also used for conducted noise analyses, but it struggles to reproduce the operating characteristics of semiconductors. The hybrid analysis method enables frequency domain analysis that considers semiconductor operating characteristics by using the results of a time domain analysis as a noise source. The results of our proposed hybrid analysis method matched the results of a time domain analysis across the entire analyzed bandwidth, from $1-100 \mathrm{MHz}$. The analysis time was about $1/10$ of that of the time domain analysis.

关键词： Buck converters Frequency-domain analysis Noise Circuits Layout Electromagnetic interference Electromagnetic compatibility

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Accelerating deep Neural Networks with a Low-Cost Lossless Compression

Accelerating Deep Neural Networks with a Low-Cost Lossless C...

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2025 International Conference on Electronics, Information, and Communication, ICEIC 2025

作者： Kim, Seongwook Byeon, Gwangeun Lee, Seungeui Bae, Youngseok Hong, Seokin Sungkyunkwan University Department of Electrical and Computer Engineering Suwon Korea Republic of Advanced R&D Center Hanwha Systems Co. Ltd. Korea Republic of Agency for Defense Development Emerging Science and Technology Directorate Korea Republic of

ISBN: (纸本)9798331510756

Since deep learning inference involves a significant amount of computations, there have been a lot of efforts to accelerate the inference process by eliminating ineffectual compu-tations. As a solution to this problem, several sparsity-aware deep learning accelerators have been proposed. These accelerators perform the inference on compressed data (filters and feature maps) and dynamically remove the ineffectual multiplications with zero operands. For efficiently handling the compressed data on the accelerators, a simple and effective compression scheme, which encodes the whole data with its nonzero values and their positions, is necessary. However, prior approaches have several shortcomings, such as low compression efficiency and high complexity in compression and decompression hardware. This paper proposes a low-cost compression scheme that can be applied to sparsity-aware deep-learning accelerators. The compression scheme synergistically combines two low-cost compression schemes: Zero-Value Compression (ZVC) and Base-delta-Immediate Compression (BdI). Our experimental evaluation shows that the proposed compression scheme achieves an average compression ratio of 2.26, resulting in 2.33x performance improvement, © 2025 IEEE.

关键词： data handling

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Preparation of Poly-α-Olefin Microcapsule Particles Coated with Polyurethane as a drag reducer Based on Interface Polymerization

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China Petroleum Processing & Petrochemical technology 2023年第2期25卷 101-112页

作者： Li Chenhao Lu Yong Li Hao Chen Yue Meng Yeqiao Zhou Pengfei Xu dan Wang Yiran Zhang Xiaolai Shandong University Jinan 250100China PipeChina Eastern China Crude Oil Storage and Transportation Co. LtdScience and Technology R&D CenterXuzhou 221000China Shandong Dongyue Polymer Material Co. Ltd.Zibo 256401China State Key Lab of Fluorinated Functional Membrane Materials Zibo 256401China

The molecular behavior of polyurethane(PU)coating materials during the surface adsorption of poly-α-olefin as a drag reducing polymer was explored by a molecular dynamics *** different PU capsule wall materials were synthesized using two reaction monomers,and a poly-α-olefin/PU drag reducer microcapsule was prepared based on interface *** structure,morphology,thermal stability,compressive strength,and drag reduction performance of the microcapsules were characterized and *** results showed that a non-bonding interaction induced the adsorption of the PU coating material,poly-α-olefin and PU then fused at the interface,and the PU coating material was embedded into the inner grooves of poly-α-olefin in the form of a local mosaic,thereby forming a stable core–shell *** morphological characterization indicated that PU and poly-α-olefin could form microcapsule *** thermal decomposition temperature of the microcapsule was dependent on the type of capsule wall *** microcapsule structure had a slight effect on poly-α-olefin drag *** system enabled poly-α-olefin to exist in powdered particles through microcapsulation,and had a good dispersion effect that facilitated storage and transport *** method effectively inhibited the accumulation and bonding of poly-α-olefin at room temperature.

关键词： drag reducer poly-α-olefin polyurethane microcapsules particles interfacial polymerization

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Vertical graphene-decorated carbon nanofibers establishing robust conductive networks for fiber-based stretchable strain sensors

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Journal of materials Science & technology 2024年第33期200卷 52-60页

作者： Hyeon-Jong Lee Seung Chan Na TaeGyeong Lim Jeongmin Yun Yonas Tsegaye Megra Ji-Hyun Oh Wonyoung Jeong daeyoung Lim Ji Won Suk School of Mechanical Engineering Sungkyunkwan UniversitySuwonGyeonggi-do 16419Republic of Korea Department of Smart Fab.Technology Sungkyunkwan UniversitySuwonGyeonggi-do 16419Republic of Korea Department of Clothing and Textiles Changwon National UniversityChangwonGyeongsangnam-do51140Republic of Korea Material and Component Convergence R&D Department Korea Institute of Industrial Technology(KITECH)AnsanGyeonggi-do 15588Republic of Korea SKKU Advanced Institute of Nanotechnology(SAINT) Sungkyunkwan UniversitySuwonGyeonggi-do 16419Republic of Korea

Stretchable strain sensors have great potential for diverse applications including human motion detection,soft robotics,and health ***,their practical implementation requires improved repeatability and stability along with high sensing ***,we utilized spiky vertical graphene(VG)sheets decorated on carbon nanofibers(VG@CNFs)to establish reliable conductive networks for resistive strain ***-dimensional(3d)VG@CNFs combined with reduced graphene oxide(rGO)sheets were simply coated on stretchable spandex fibers by *** of the spiky geometry of the VG sheets,VG@CNF and rGO exhibited enhanced interactions,which was confirmed by mode I fracture *** to the robust conductive networks formed by the VG@CNF and rGO hybrid,the fiber strain sensor exhibited a significantly improved strain range of up to 522%(with a high gauge factor of 1358)and stable resistance changes with minimal variation even after 5000 stretching–releasing cycles under a strain of 50%.In addition,the textile strain sensor based on the VG@CNF/rGO hybrid showed even improved repeatability for various strain levels of 10%to 200%,enabling its implementation on leggings for monitoring of squat *** study demonstrates the high potential of the 3d VG@CNF for high-performance and reliable stretchable strain sensors.

关键词： Stretchable strain sensor Vertical graphene reduced graphene oxide Carbon nanofiber Human motion detection

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WhaleOptNB: A Method for Automated Biomedical Text document Classification 7th

WhaleOptNB: A Method for Automated Biomedical Text Document ...

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7th International Conference on Intelligent Computing and Optimization, ICO 2023

作者： Kumar, S. Vishnu Chohan, Jasgurpreet Singh Kalita, Kanak Department of Electronics and Communication Engineering Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology Avadi600062 India Department of Mechanical Engineering and University Centre for Research & Development Chandigarh University Mohali140413 India Department of Mechanical Engineering Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology Avadi600062 India Jadara University Research Center Jadara University Irbid Jordan

ISBN: (纸本)9783031733239

In recent years, there has been a meteoric rise in the amount of digital information stored in the biomedical industry due to the rapid growth of the internet and other information technologies. Automated biomedical text classification has become an effective and robust method of accessing the increased amount of technical and medical literature in the biomedical sector through the classification of multiple source documents while preserving the significantly informative data to manage the enormous amount of biomedical data currently available. This is accomplished by automating the classification of multiple source documents in the biomedical field. Therefore, multi-document biomedical text classification plays an essential role in resolving the problem of gaining access to accurate and up-to-date information. A Whale Optimization Algorithm-based Weighted Naive Bayes Classifier (WhaleOptNB) for text document classification is proposed. A biomedical text document dataset is collected and preprocessed. Then, the preprocessed data's features are extracted using the Term Frequency-Inverse document Frequency (TF-IdF). To classify the biomedical text document, WhaleOptNB is utilized. To prove the efficiency of the proposed methodology, it is compared with existing methods. Simulation results show that the proposed method outperforms conventional methods. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Inverse problems

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Evolution of surface quality in micromilling Ti-6Al-4V alloy with increasing machined length 7

Evolution of surface quality in micromilling Ti-6Al-4V alloy...

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7th CIrP Conference on Surface Integrity, CSI 2024

作者： Gonçalves, Maria Clara Coimbra Alsters, rob Curtis, david M'Saoubi, rachid Ghadbeigi, Hassan University of Sheffield Mechanical Engineering Department Mappin Street Sheffield United Kingdom R&D Materials and Technology Development Seco Tools AB Zandterweg 14 Lottum5973 RC Netherlands Advanced Manufacturing Research Centre University of Sheffield RotherhamS60 5TZ United Kingdom R&D Materials and Technology Development Seco Tools AB Fagersta737 82 Sweden Division of Production and Materials Engineering Lund University Ole Römers väg 1 Lund221 00 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-6Al-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 Sa 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-6Al-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 Sa = 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. © 2024 The Authors. Published by Elsevier B.V.

关键词： Surface roughness

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Giant 2d Skyrmion Topological Hall Effect with Ultrawide Temperature Window and Low-Current Manipulation in 2d room-Temperature Ferromagnetic Crystals

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Chinese Physics Letters 2023年第11期40卷 131-138页

作者：张高节罗清源文晓琨武浩杨丽靳雯李路吉张佳张文峰舒海波常海欣 State Key Laboratory of Material Processing and Die&Mold Technology School of Materials Science and EngineeringHuazhong University of Science and TechnologyWuhan 430074China Wuhan National High Magnetic Field Center and Institute for Quantum Science and Engineering Huazhong University of Science and TechnologyWuhan 430074China College of Optical and Electronic Technology China Jiliang UniversityHangzhou 310018China School of Physics and Wuhan National High Magnetic Field Center Huazhong University of Science and TechnologyWuhan 430074China Shenzhen R&D Center of Huazhong University of Science and Technology Shenzhen 518000China

The discovery and manipulation of topological Hall effect(THE),an abnormal magnetoelectric response mostly related to the dzyaloshinskii–Moriya interaction(dMI),are promising for next-generation spintronic devices based on topological spin textures such as magnetic ***,most skyrmions and THE are stabilized in a narrow temperature window either below or over room temperature with high critical current *** is still elusive and challenging to achieve large THE with both wide temperature window till room temperature and low critical current ***,using controllable,naturally oxidized sub-20 and sub-10 nm 2d van der Waals room-temperature ferromagnetic Fe_(3)GaTe_(2-x)crystals,we report robust 2d skyrmion THE with ultrawide temperature window ranging in three orders of magnitude from 2 to 300 K,in combination with giant THE of~5.4μΩ·cm at 10 K and~0.15μΩ·cm at 300 K,which is 1–3 orders of magnitude larger than that of all known room-temperature 2d skyrmion ***,room-temperature current-controlled THE is also realized with a low critical current density of~6.2×10^(5)A·cm^(-2).First-principles calculations unveil natural oxidation-induced highly enhanced 2d interfacial dMI reasonable for robust giant *** work paves the way to room-temperature electrically controlled 2d THE-based practical spintronic devices.

关键词： topological manipulation magnetic

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The Successful Application of Expansion Tube technology in the Bongor Basin of Chad 13th

The Successful Application of Expansion Tube Technology in t...

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13th International Field Exploration and development Conference, IFEdC 2023

作者： Zhong, Zhao Li, Xiao-Gang Liu, Ji-Tong Ji, Fei Li, Gang-Lu Jia, Tao Liu, Chen-Chao Zhang, Guo-Bin Liu, Shan-Shan CNPC Engineering Technology R&D Company Limited Beijing102206 China China National Oil and Gas Exploration and Development Corporation Beijing100034 China CNPC Bohai Drilling Engineering Company Limited Tianjin300452 China

ISBN: (纸本)9789819702558

The Bongor is the main basin for increasing storage and production in the CNPC Chad. With the continuous deepening of development, underground safety operations face the following problems: the inability to effectively seal the gas layer in the overlying strata of the basement, the high risk of secondary completion of the basement gas injection well, and the poor stability of the wellbore in the M group shale formation. In response to the bottleneck problems faced by underground operations, geological, drilling, logging, and other data were analyzed and sorted. Based on the expansion tube technology, the safety sealing technology for high-pressure gas cap in basement, secondary completion technology for basement gas injection wells, and openhole sealing technology for expansion tubes were optimized and formed. They were successfully applied for the first time in the Bongor Basin, achieving a daily gas injection volume of 2000 Nm3, shortening the construction cycle, improving wellbore quality, and reducing complex underground risks, Subsequently, it will be widely promoted and applied as a mature technology, supporting the efficient development of the Bongor Basin. At the same time, the expansion tube technology has a demonstration effect on the development of similar oil fields due to its good practical functions and application value [1–6]. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Gases

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