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IEEE Integrated STEM Education Conference (ISEC)

作者： daniel C. Appel Carla Winsor ralph Tillinghast Mo Mansouri Air Force Research Laboratory Directed Energy Directorate (AFRL-RD) Kirtland AFB N.M Mechanical Engineering Researcher and Dissertator University of Wisconsin-Madison and R&D Systems Engineering Intern Sandia National Laboratories. Collaboration Innovation Lab Armaments Research Development Engineering Center (ARDEC) U.S. Army Picatinny Arsenal N.J. School of Systems and Enterprises Stevens Institute of Technology Hoboken N.J

ISBN: (纸本)9781665484305

The importance of student achievement in STEM fields remains a key aspect of academic and career success affecting society. Understanding the obstacles and setbacks which affect students is a key aspect to minimizing attrition losses observed in STEM career pathways for underrepresented student demographics. Through developing a system dynamics modeling and simulation framework and evaluating survey responses specifically related to offsetting events in the careerization pipeline, insights can be gained into mitigation strategies. Analysis of system dynamics modeling outputs demonstrates the detrimental effects of obstacles to student achievement; however, elucidating mechanisms present in counterexamples suggests that bolstering student resilience is achievable. Implementing active learning and project-based learning strategies with the specific goal of enabling failure and student development to overcome initial failures can foster development of key individual student traits and behaviors. This approach can be combined with events such as family STEM nights, focus on gateway curriculum that enables student self-efficacy, and implementing near-peer mentoring strategies. The modeling and simulation framework results show that promising improvements can be achieved with resources available across the education and outreach ecosystem, providing substantial benefits to all students with STEM aspirations and to society as a whole.

关键词： Analytical models Sensitivity System dynamics Engineering profession Pipelines diversity reception Logic gates

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Engineering Omniphobic Corrugated Membranes for Scaling Mitigation in Membrane distillation

SSRN

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SSrN 2022年

作者： Liao, Xiangjun Chou, Shuren Gu, Chuanyu Zhang, Xiaocheng Shi, Minghao You, Xiaofei Liao, Yuan razaqpur, Abdul Ghani Sino-Canadian Joint R&D Center for Water and Environmental Safety College of Environmental Science and Engineering Nankai University No.38 Tongyan Road Jinnan District Tianjin300350 China Beijing OriginWater Membrane Technology Co. Ltd No. 4 Leyuan South Second Street Yanqi Development Zone Huairou District Beijing101407 China Singapore Membrane Technology Centre Nanyang Environment and Water Research Institute Nanyang Technological University 1 Cleantech Loop Singapore637141 Singapore

Membrane scaling is unavoidable when treating highly concentrated and even supersaturated brine in the continuous membrane distillation (Md) process. Omniphobic membranes with higher nucleation energy barriers could partially mitigate the membrane scaling. Herein, we fabricated omniphobic corrugated membranes to further alleviate membrane scaling via the synergistic effects of omniphobicity and corrugation on the membrane surface. The scaling behaviors of omniphobic flat membrane (#PVdF-FF), omniphobic corrugated membrane (#PVdF-CF) at parallel (PL) and perpendicular (Pd) modes were investigated. different modes represented the relative position between the feed flow direction and the pattern of corrugated membrane. The results showed that the modified corrugated membranes had water contact angles over 150° and anti-wettability against low surface tension liquids. Compared to #PVdF-FF, #PVdF-CF at the PL mode exhibited a better slippery property while the Pd-mode #PVdF-CF had higher slippery resistance. The membrane omniphobicity was confirmed to be effective against membrane scaling when treating a 3.5 wt% NaCl feed solution. However, the scaling resistance of #PVdF-CF at both PL and Pd modes was much better than that of #PVdF-FF when 25 wt% NaCl or 20 mM supersaturated gypsum solutions were used as feeds. The better anti-scaling properties of PL-mode #PVdF-CF should be attributed to a higher flow rate and shorter residence time of feed flow parallel to the corrugated patterns, as well as the alleviated concentration polarization. The turbulent effect induced by the perpendicular feed flow on the corrugated patterns and the consequent alleviation of concentration polarization endowed the Pd-mode #PVdF-CF with the best scaling resistance. © 2022, The Authors. All rights reserved.

关键词： Membranes

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Performance Analysis of Polar Coding Scheme for Narrowband Internet of Things

Performance Analysis of Polar Coding Scheme for Narrowband I...

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Global Power, Energy and Communication Conference (GPECOM)

作者： rabiu S. Zakariyya Md Khalid H. Jewel Akinwale O. Fadamiro Adamu Muhammed Jajere Umar Jibril Mohammed Fujiang Lin Micro/Nano-Electronic Systeme Integration R&D Centre (MESIC) University of Science and Technology of China (USTC) Hefei China Tianjin Key Laboratory of Imaging and Sensing Tianjin University Tianjin China National Space Research R&D Development Agency (NSRDA) Abuja Nigria

ISBN: (数字)9781728162645

ISBN: (纸本)9781728162652

This electronic document Polar codes have been recognized as one of the forward error correction (FEC) technique in recent wireless communication standards. However, due to its superior performance for short block length codeword and low decoding complexity implementation, in this paper, performance analysis of polar coding scheme has been proposed for uplink narrowband internet of things (NB-IoT) system. The proposed polar codes are applied to Physical (PHY) layer data transmission channel specified as Narrowband Physical Uplink Shared Channel (NPUSCH). We utilize the belief propagation (BP) decoding algorithm of polar codes in our decoding scheme which is integrated with cyclic redundancy check (CrC) codes known as (BPC) algorithm to improve the decoding performance of our proposed scheme. Simulation results show that the proposed polar coding scheme improves block error rate (BLEr) performance for NPUSCH channel compared with other polar decoding schemes including the successive cancellation (SC), SC-List (SCL), and conventional LTE Turbo codes.

关键词： Encoding decoding Internet of Things data communication Uplink Polar codes Narrowband

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research on high-speed transmission characteristics of the BGA ceramic substrate employed in multi-channel optical transmitter module

Research on high-speed transmission characteristics of the B...

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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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Innovative and sustainable synthesis of biogenic gold nanoparticles for cholesterol detection: gelatine role in enhanced stability and catalytic activity

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rSC advances 2025年第24期15卷 19132-19145页

作者： Thi Lan Huong Nguyen Ngoc Vy Nguyen Van dat doan Thi dung Nguyen Anh Tien Nguyen Thi Long do renat Maratovich Akhmadullin Hien Y Hoang Institute of Biotechnology and Food Technology Industrial University of Ho Chi Minh City Ho Chi Minh City 700000 Vietnam. Faculty of Chemical Engineering Industrial University of Ho Chi Minh City Ho Chi Minh City 700000 Vietnam. Biotechnology Center of Ho Chi Minh City Ho Chi Minh City 700000 Vietnam. Faculty of Chemistry Ho Chi Minh City University of Education 280 An Duong Vuong Ho Chi Minh City 700000 Vietnam. R&D "AhmadullinS" LLC 34 Syberian Tract Kazan 420139 Russia. Center for Advanced Chemistry Institute of Research & Development Duy Tan University 03 Quang Trung Danang City 550000 Vietnam hoanghieny@duytan.edu.vn. Faculty of Natural Sciences Duy Tan University 03 Quang Trung Da Nang 550000 Vietnam.

The biosynthesis of metal nanoparticles using natural extracts represents a significant advancement in quantitative analysis, as it effectively reduces nanoparticle aggregation, thereby enhancing the precision and dependability of analytical results. However, particle agglomeration of the nanoparticles continues to be a notable hurdle. In this study, for the first time, we addressed this issue by introducing gelatine into the synthesis of biogenic gold nanoparticles (AuNPs). Interestingly, although gelatine exhibits reducing properties, its primary role in this context is as an agglomeration inhibitor when combined with the natural extract. Analyses including SEM-EdS, element mapping, TEM, Xrd, FT-Ir, dLS, TGA-dTG, and zeta potential revealed that the incorporation of gelatine alters the morphology of biogenic AuNPs, promoting resistance to aggregation. The synthesized AuNPs have exhibited a dual-layer structure, with coatings consisting of both natural extract and gelatine. Additionally, the gelatine presence marginally enhances the intrinsic catalytic activity of AuNPs. Importantly, the gelatine coating does not compromise the efficacy of AuNPs in the colorimetric assay, partially in cholesterol detection, which demonstrated a wide-ranging detection capability of 1-1000 μM with an LOd of 3.48 μM. Furthermore, the analytical accuracy was validated using CG-FId, achieving near-perfect results in fast food samples such as snack-sticks and butter & pork floss baguettes. Hopefully, these findings in this study will not only contribute to advancements in the field of quantitative analysis but also provide valuable insights for various industries seeking sustainable methodologies for the synthesis of metallic nanoparticles.

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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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