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International Conference on (ICEPT) Electronic Packaging technology

作者： Juan Wei Yu Sun Huimin He Fengman Liu Liqiang Cao Hui Kong Microsystem Packaging Research Center Institute of Microelectronics of Chinese Beijing China Research and Development Department (R&D) ZTE Photonics Technology Co. Ltd Nanjing China

ISBN: (数字)9781728168265

ISBN: (纸本)9781728168272

In this paper, the high-speed electrical transmission characteristics of the ceramic substrate employed in multi-channel optical transmitter module and the factors that affect its electrical characteristics encompassing equivalent model of BGA balls below ceramic substrate, roughness of metal material-Au, width tolerances of transmission lines on surface of ceramic substrate and length of bonding wire between modulator and driver chips were analyzed and studied. According to the inconformity between simulation and test results, an optimized simulation model was proposed and verified to estimate test high-speed performance of the ceramic substrate better. The 3-dB bandwidth of transmission lines on the ceramic substrate is nearly 35GHz which demonstrates that the optical transmitter module based on the ceramic substrate has great potential to support successfully transmission exceeding 25 Gb/s.

关键词： Substrates Optical transmitters Wires Ceramics Bonding Power transmission lines Insertion loss

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A Logical Evaluation of Tuberculosis disease Prediction using Artificial Intelligence (AI) Enabled Learning Methodology

A Logical Evaluation of Tuberculosis Disease Prediction usin...

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Emerging Trends in Engineering and Medical Sciences (ICETEMS), International Conference on

作者： Govindaraj ramkumar C r Bharathi Jayant Giri T P ramachandran r B revathi Ayman Amer Department of ECE Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences (SIMATS) Saveetha University Chennai Tamil Nadu India Department of ECE Vel Tech Rangarajan Dr. Sangunthala R&D Institute of Science and Technology Chennai Tamil Nadu India Department of Mechanical Engineering Yeshwantrao Chavan College of Engineering Nagput India Division of Research and Development Lovely Professional University Phagwara India Department of ECE Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences (SIMATS) Saveetha University Chennai Tamil Nadu India Department of ECE Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences (SIMATS) Saveetha University Chennai Tamil Nadu India Department of Energy Engineer Zarqa University Zarqua Jordan College of Engineering University of Business and Technology Jeddah Saudi Arabia

ISBN: (数字)9798331529352

ISBN: (纸本)9798331529390

Tuberculosis (TB) remains a global health threat, requiring early and accurate detection to curb its spread. This study proposes a Hybrid Learning Model that integrates Transformer Networks, Capsule Networks, and LightGBM to predict tuberculosis using chest X-ray images and clinical data. The model leverages Transformer Networks to capture long-range dependencies in image data and Capsule Networks to capture spatial hierarchies, while LightGBM processes clinical data for final classification. Publicly available datasets, including the Montgomery County X-ray Set and Shenzhen X- ray Set, were used for model evaluation. The proposed model was compared against nine existing models, including traditional machine learning models like Logistic regression and random Forest, and deep learning models such as CNN, resNet50, and denseNet. The proposed hybrid model achieved an accuracy of 95.35%, outperforming all other models. These results highlight the efficacy of combining advanced image processing techniques with efficient classification algorithms for TB diagnosis.

关键词： Accuracy Tuberculosis Predictive models Transformers Market research data models X-ray imaging random forests Medical diagnostic imaging residual neural networks

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Water-Soluble Biowaste Gum Binders for Natural Graphite Anode for Lithium-Ion Batteries

SSRN

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SSrN 2024年

作者： Chang, Joon Ha Pin, Min Wook Msalilwa, Lawrence robert Shin, Sung Ho Han, Chulwoong Yu, Hyunung Chandio, Zubair Ahmed Padil, Vinod V.T. Kim, Youngjin Cheong, Jun Young 67 Cheongam-ro Pohang37673 Korea Republic of Industrial materials R&D Group Korea Institute of Industrial Technology Incheon21999 Korea Republic of Department of Chemistry University of Bayreuth Universitätsstraße 30 Bayreuth95447 Germany Jilli Hall Korea Advanced Institute of Science and Technology 193 Munji-ro Yuseong-gu Daejeon34051 Korea Republic of Advanced Instrumentation Institute Korea Research Institute of Standards and Science Daejeon34113 Korea Republic of Amrita School for Sustainable Development Amrita Vishwa Vidyapeetham Amritapuri Kerala Kollam India Department of Materials Science and Engineering Kangwon National University Chuncheon24341 Korea Republic of James Watt School of Engineering University of Glasgow GlasgowG12 8QQ United Kingdom

Anode materials for lithium-ion batteries (LIBs) are crucial, as lithium insertion takes place in the anode during the charging process. Also, it is rational to replace the conventional polyvinylidene fluoride (PVdF) with a water-soluble binder because the former employs N-Methyl-2-pyrrolidone, which is environmentally harmful. To address the problem, we fabricated two natural graphite (NG)-based anodes with water-soluble biowaste (W-SB) binders from the gum of the tree Cochlospermum gossypium . Both of the electrodes were fabricated using 10 wt.% of binder and were evaluated for their electrochemical performance. The W-SB electrode showed good mechanical properties and maintained structural integrity after cycling, this promoted low charge transfer resistance on the electrode. W-SB-based electrode showed high current peaks in the 1st cycle being an indication of enhanced electrochemical performance, unlike the PVdF electrode which showed slightly low peaks. NG-W-SB maintained a higher stable capacity retention up to 360 cycles, whereas at around 200 cycles NG-PVdF capacity degraded indicating low-capacity retention until the end of the cycle. Generally, W-SB binders showed highly enhanced cycling retention characteristics, comparable rate capabilities, and lower electrode resistance, which opened a new avenue for adopting biowaste (gum) as a functional water-soluble binder for LIBs applications. © 2024, The Authors. All rights reserved.

关键词： Anodes

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On the Numerical distortion-Mutual Information Function of Image denoising with deep Convolutional Networks

On the Numerical Distortion-Mutual Information Function of I...

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International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information technology, ECTI-CON

作者： Wuttipong Kumwilaisak Teerawat Piriyatharawet Pongsak Lasang Nattanun Thatphithakkul Department of Electronics and Telecommunications King Mongkut’s University of Technology Thonburi Bangkok Thailand Panasonic R&D Center Singapore (PRDCSG) Panasonic Singapore National Science and Technology Development Agency Pathumthani Thailand

ISBN: (数字)9781728164861

ISBN: (纸本)9781728164878

This paper presents a new perspective on the image denoising problem. The architecture of image denoising algorithm used in this paper is the deep Convolutional Neural Networks (dCNN). designing dCNN models relates tuning hyperparameters such as a number of layers of dCNN. To choose suitable hyperparameters, it would has an advantage to examine the best achievable image denoising performance under different a number of dCNN layers. Moreover realizing how close the image denoising algorithm performance to the optimal result allows us to design the efficient image denoising algorithm. The Blahut-Arimoto algorithm is used to derive numerically distortion-mutual information function of image denoising algorithm. The derived function is the distortion lower bound given the mutual information between the original image and the denoised image. The noise environment in this paper is relied on the Poisson noise. The denoised image qualities of different dCNN configurations are compared with the results from the numerical Blahut-Arimoto algorithm. The experimental results indicate that the dCNN models provide near optimal denoised image qualities given mutual information, even though there are some rooms to further improve image denoising algorithm.

关键词： Image denoising Mutual information distortion Noise measurement Training Noise reduction Numerical models

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Beamformed mmwave system propagation at 60 GHz in an office environment

arXiv

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arXiv 2020年

作者： Shah, Syed Hashim Ali Balakrishnan, Sarankumar Xin, Liangxiao Abouelseoud, Mohamed Sakoda, Kazuyuki Tanaka, Ken Slezak, Christopher rangan, Sundeep Panwar, Shivendra NYU Wireless New York University BrooklynNY United States Dept. of Electrical Engineering University at Buffalo NY United States US Research Center Sony Corporation of America CA United States Connectivity Technology Development Dept. Fundamental Technology R&D Field R&D Center Sony Corporation Japan

Millimeter wave wireless systems rely heavily on directional communication in narrow steerable beams. Tools to measure the spatial and temporal nature of the channel are necessary to evaluate beamforming and related algorithms. This paper presents a novel 60 GHz phased-array based directional channel sounder and data analysis procedure that can accurately extract paths and their transmit and receive directions. The gains along each path can also be measured for analyzing blocking scenarios. The sounder is validated in an indoor office environment. Copyright © 2020, The Authors. All rights reserved.

关键词： Beamforming

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Administration of Yeast Glucan on Immunity of Offspring in Turbot Scophthalmus maximus: A Trans-Generational Immune-Enhancing Effect

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Journal of Ocean University of China 2019年第4期18卷 997-1003页

作者： JIANG Chengyan WANG Peng LIU Shousheng WANG Yanfeng LI Jun JI Guangdong College of Life Science and Technology Hong He University Mengzi 661100 China Laboratory for Evolution & Development Institute of Evolution & Marine Biodiversity and Department of Marine Biology Ocean University of China Qingdao 266003 China Center of Biotechnology R&D Institute of Oceanology Chinese Academy of Sciences Qingdao 266071 China

β-glucan has been shown to increase immunity and survival in various juvenile and adult fish both in freshwater and marine aquaculture species as well as in marine fish larvae. However, information about the trans-generational immune-enhancing effects of β-glucan remains rather limited. Here we clearly show that dietary intake of β-glucan enhanced the levels of C3, Bf and lysozyme in the serum of turbot as well as in their eggs released. We also show that yeast glucan induced a significant increase in lysozyme activity in both the serum and eggs. Moreover, the embryos derived from yeast glucan-treated turbot were more resistant to bacterial challenge than control embryos. By contrast, the administration of yeast glucan on female turbots had little influence on the egg development and embryonic development. Collectively, these data indicate that yeast glucan can be safely used to promote the non-specific trans-generational immunity in offspring of turbot.

关键词： turbot Scophthalmus glucan trans-generational immunity

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A pragmatic mixing model for the evaluation of powder flow properties of multicomponent pharmaceutical blends

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International Journal of Pharmaceutics: X 2025年 9卷

作者： Yanes, daniel Shinebaum, rachael Papakostas, Georgios reynolds, Gavin K. Swainson, Sadie M.E. Oral Product Development Pharmaceutical Technology & Development Operations AstraZeneca Macclesfield SK10 2NA United Kingdom School of Pharmacy University of Nottingham University Park Campus Nottingham NG7 2RD United Kingdom Technical Operations Science & Innovation Pharmaceutical Technology & Development Operations AstraZeneca Macclesfield SK10 2NA United Kingdom Early Product Development and Manufacturing Pharmaceutical Sciences BioPharmaceuticals R&D AstraZeneca Macclesfield SK10 2NA United Kingdom Sustainable Innovation & Transformational Excellence (xSITE) Pharmaceutical Technology & Development Operations AstraZeneca Macclesfield SK10 2NA United Kingdom

Maintaining flowability of pharmaceutical blends is critical for operational efficiency in state-of-the-art continuous direct compression (CdC) manufacturing, with poor flow potentially resulting in API loss, increased experimental work and increased time to market. Consequently, flowability is a crucial consideration in the design of formulations and must be considered throughout the development process when changes are introduced. Traditionally, understanding flow properties has required testing large amounts of material, particularly when evaluating formulation options. This has led to research into developing predictive flow models to reduce experimental burden. Current models with good predictive capacity, such as using granular bond number, require non-routine measurements such as mechanical surface energy. Three mixture designs, each using three pharmaceutical materials, were developed to investigate flow properties and allow the evaluation of a number of mixing models for predicting flowability with minimal experimental input requirements. The resultant models ranged in complexity from simple first order mixture models to more complex third order models with binary and ternary interaction parameters. An analysis of the experimental cost versus prediction accuracy suggested that while the more complex models delivered the most accurate predictions, a first order mass weighted model using inverse FFC was capable of providing good predictions in return for a more manageable experimental burden, with an r2 value of 0.68, root mean square error of 2.88 and a mean absolute percentage error of 0.21. This model has the potential to provide valuable insights during early formulation design and development where material is scarce and good flowability is crucial. © 2025 The Authors

关键词： Continuous direct compression design of experiment Pharmaceutical powder flow Powder blends Predictive modelling Shear cell

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Characteristics and Mechanism of Upper Permian reef reservoirs in the Eastern Longgang Area, Northeastern Sichuan Basin, China

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Petroleum 2020年第2期6卷 130-137页

作者： Lei Tan Hong Liu Yuzhe Tang Bing Luo Ya Zhang Yuran Yang Yisha Liao Weifeng du Xiran Yang School of Geosciences and Technology Southwest Petroleum UniversityChengdu610500China Beijing Petroleum Machinery Co. CNPC Engineering Technology R&D Company LimitedBeijing102206China The Institute of Exploration and Development of Southwest Oil and Gas Field Branch PetroChinaChengdu610059China Chongqing Gas Field Southwest Oil&Gas Field CompanyPetroChinaChongqing400021China Bureau of Geophysical Prospecting China National Petroleum Corp Zhuozhou072750China Northwest Sichuan Gas Field Southwest Oil&Gas Field CompanyPetroChinaJiangyou621709China

As a typical kind of lithologic reservoirs,reef reservoirs are generally featured by their large single-well reservoir thickness,good reservoir physical properties,and high gas well *** Upper Permian Changxing Formation is an important natural gas exploration target in the Sichuan Basin,which hosts a large reef gas reservoir and is mainly distributed along the Kaijiang-Liangping *** analyses are implemented to investigate reservoir characteristics and identify controlling factors of reef reservoirs in Changxing Formation in the Eastern Longgang Area,Northeastern Sichuan Basin,including core,logging,and seismic data *** Formation reservoirs in the study area mainly occur in the reef-shoal complex,which are featured by wide distribution,large thickness and generally good physical *** rocks are dominantly composed of bioclastic dolomite and silty-fine dolomite(with grain phantom structure),while the main reservoir space consists of residual intergranular pores,intergranular dissolution pores,and karst *** the seismic profiles,typical mound-shaped chaotic reflections can be clearly *** is suggested by the main reservoir development controlling factor analysis that the distributions of reef reservoirs are typically controlled by sedimentary facies belts,while the scale of the reef-shoal complex is determined by the pene-sedimentary *** can not only significantly preserve the primary pores but also enhance the permeability of ***,karstification is the key to high-quality reef-shoal reservoirs.

关键词： Changxing formation reef reservoir characteristics Essential factors Eastern longgang

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Autonomous Heavy-duty Mobile Machinery: A Multidisciplinary Collaborative Challenge

arXiv

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arXiv 2021年

作者： Machado, Tyrone Fassbender, david Taheri, Abdolreza Eriksson, daniel Gupta, Himanshu Molaei, Amirmasoud Forte, Paolo rai, Prashant Kumar Ghabcheloo, reza Mäkinen, Saku Lilienthal, Achim J. Andreasson, Henrik Geimer, Marcus Department of System Development Bosch Rexroth AG Elchingen Germany Faculty of Engineering and Natural Sciences Tampere University Tampere Finland R&D Wheel Loader- Emerging Technologies Liebherr-Werk Bischofshofen GmbH Bischofshofen Austria School of Science and Technology Örebro University Örebro Sweden Institute of Vehicle System Technology Karlsruhe Institute of Technology Karlsruhe Germany Faculty of Management and Business Tampere University Tampere Finland

Heavy-duty mobile machines (HdMMs) are a wide range of machinery used in diverse and critical application areas which are currently facing several issues like skilled labor shortages, poor safety records, and harsh work environments. Consequently, efforts are underway to increase automation in HdMMs for increased productivity and safety, eventually transitioning to operator-less autonomous HdMMs to address skilled labor shortages. However, HdMMs are complex machines requiring continuous physical and cognitive inputs from human operators. Thus, developing autonomous HdMMs is a huge challenge, with current research and developments fragmented into several independent research domains. Furthermore, autonomous HdMM technologies are a stack of several technologies requiring a convergence of diverse competencies from the different domains. Through this study, we provide an overview of the HdMM industry and use the bounded rationality concept to propose multidisciplinary collaborations for new developments in autonomous HdMMs. Furthermore, we apply the transaction cost economics framework to highlight the conceptual challenges and implications of these collaborations. Therefore, we bring together several domains of the HdMM industry to introduce autonomous HdMMs as a general and unified approach. The collaborative challenges and potentials are mapped out between the following topics: mechanical systems, AI methods, software systems, sensors, connectivity, simulations and process optimization, business cases, organization theories, and finally, regulatory frameworks. In doing so, we highlight the need for new and multidisciplinary perspectives that should be considered by academic and industrial practitioners working on the development and deployment of autonomous HdMMs. © 2021, CC BY-NC-Nd.

关键词： Machinery

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Two-Step Nucleation and Amorphization of Carbamazepine Using a Micro-droplet Precipitation System

SSRN

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SSrN 2024年

作者： Bae, Jaehyeong Li, Cheongcheon Park, Ju Hyun Go, Eun Min Lee, Jonghwi Kwak, Sang Kyu Seo, Tae Seok Department of Chemical Engineering College of Engineering Kyung Hee University 1732 Deogyeong-daero Giheung-gu Gyeonggi-do Yongin17104 Korea Republic of Department of Chemical Engineering and Materials Science Chung-Ang University 84 Heukseok-ro Dongjak-gu Seoul06974 Korea Republic of Electrode Development Team Samsung SDI Co. Ltd. R&D Center 130 Samsung-ro Yeongtong-gu Suwon16678 Korea Republic of Corning Technology Center Korea Corning Precision Materials Co. Ltd. 212 Tangjeongro Chungcheongnam-do Asan31454 Korea Republic of Department of Chemical and Biological Engineering Korea University 145 Anam-ro Seongbuk-gu Seoul02841 Korea Republic of

Controlling the crystallinity of pharmaceutical drugs is important for clinical efficacy, as poor solubility often necessitates high dosages to achieve therapeutic effects, leading to dose-related adverse effect such as dose fluctuation and inconstant drug actions. Carbamazepine is a poorly soluble crystalline antiepileptic drug used for epilepsy and trigeminal neuralgia, whose clinical efficacy is compromised by its low solubility and slow dissolution. Here, we investigated amorphization of carbamazepine to enhance its solubility by using a micro-droplet precipitation system. These micro-droplets serve as individual reactors, enabling homogeneous nucleation for precipitation of carbamazepine. during crystallization, carbamazepine undergo an intermediate liquid-liquid phase transition characteristic of two-step nucleation. By varying the solvent composition (methanol/water), we characterized the kinetics and stability of the intermediate liquid phase under various conditions. Our results indicate that carbamazepine can undergo either one-step liquid-to-amorphous solid phase transition or two-step liquid-to-crystalline solid phase transition. Notably, both transitions pass through a liquid-to-dense liquid phase separation process starting from the supersaturated solution, where the generated intermediate phases exhibit different sizes and numbers influenced by the solvent and concentration. Our findings not only elucidate the mechanism underlying carbamazepine phase transition but also propose a novel method for producing amorphous formulations, which could be broadly applicable to other poorly soluble pharmaceutical compounds, offering significant improvements in drug efficacy and patient compliance. © 2024, The Authors. All rights reserved.

关键词： Amorphization

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