检索结果-内蒙古大学图书馆

2024 International Conference on distributed Systems, Computer Networks and Cybersecurity, ICdSCNC 2024

作者： Avinash, Avinash Quevedo Lezama, Christian rafael Murugesan, ramya Anitha, K. Bharathi, C.r. Abid, Y. St. Josephs College of Engineering Department of Mba Chennai India National University of San Marcos Department of Electrical and Electronics Engineer Lima Peru Karpagam Academy of Higher Education Department of Electronics and Communication Engineering Coimbatore India Saveetha Engineering College Thandalam Department of Ece Chennai India Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Department of Electronics and Communication Engineering Chennai India Saveetha University Department of Vlsi Microelectronics Chennai India

ISBN: (纸本)9798350375442

Image compression is required for many computer vision applications, but traditional methods like JPEG and PNG have trouble preserving image quality at high compression levels. The study suggests a deep learning-based method for efficiently compressing images while maintaining visual information, utilizing convolutional neural networks (CNNs). Preparing the dataset, choosing CNN architectures (such as autoencoders and GANs), training with loss functions like MSE, and assessing using PSNr and SSIM metrics are all part of the process. According to the results, the deep learning approach outperforms JPEG (18:1) and PNG (6:1) in terms of compression ratios for complicated textures, reaching up to 25:1. The deep learning approach's PSNr values are 35.2 dB, while its SSIM scores are 0.92 in contrast to JPEG's (0.87) and PNG's (0.84) values. The process preserves visual quality while offering increased storage and transmission efficiency. © 2024 IEEE.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

discrimination and characterization of volatile organic compound fingerprints during sea bass (Lateolabrax japonicas) fermentation by combining GC-IMS and GC-MS

引用

Food Bioscience 2022年第6期50卷 566-576页

作者： Shi Nie Laihao Li Yueqi Wang Yanyan Wu Chunsheng Li Shengjun Chen Yongqiang Zhao di Wang Huan Xiang Ya Wei Key Laboratory of Aquatic Product Processing Ministry of Agriculture and Rural AffairsNational R&D Center for Aquatic Product ProcessingSouth China Sea Fisheries Research InstituteChinese Academy of Fishery SciencesGuangzhou510300China Co-Innovation Center of Jiangsu Marine Bio-industry Technology Jiangsu Ocean UniversityLianyungang222005China College of Food Science and Technology Shanghai Ocean UniversityShanghai201306China Collaborative Innovation Center of Seafood Deep Processing Dalian Polytechnic UniversityDalian116034China

Volatile organic compounds are important indicators of the characteristic flavor of traditional fermented fish products. In the present study, gas chromatography-ion mobility mass spectrometry (GC-IMS) and gas chromatography-mass spectrometry (GC-MS) were used to identify and quantify the volatile organic compounds (VOCs) in fermented sea bass. Thirty-six and 104 VOCs were identified by GC-IMS and GC-MS, respectively. Aldehydes were the principal contributors to the formation of the overall flavor of fermented sea bass. The characteristic VOCs in fermented sea bass were identified based on loading plots. GC-IMS and GC-MS, along with variable influence on projection (VIP), identified six and four VOCs as biomarkers, respectively, in fermented sea bass. This investigation demonstrated that GC-IMS could rapidly detect VOCs in a simple manner in fermented sea bass. The results of the present study also provide a theoretical basis for determining flavor formation in fermented sea bass.

关键词： Sea bass fermentation Gas chromatography-ion mobility mass spectrometry Gas chromatography-mass spectrometry Volatile organic compounds

来源：评论

学校读者我要写书评

暂无评论

SrS in Clinical System using FL Based System Implementation 4

SRS in Clinical System using FL Based System Implementation

引用

4th IEEE International Conference on Advance Computing and Innovative Technologies in engineering, ICACITE 2024

作者： Padmapriya, G. rajaram, Gnanajeyaraman raj, T Saju Ponnaian, Geetha Majid, Hind Hussein, Abdul redha Srm Institute of Science and Technology School of Computing Department of Computing Technologies Chengalpattu Kattankulathur India Saveetha Institute of Medical and Technical Sciences Simats Saveetha School of Engineering Department of Computer Science and Engineering Chennai India Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Department of Computer Science and Engineering India Saveetha Institute of Medical and Technical Sciences Saveetha University Saveetha School of Engineering Department of Computer Science and Engineering Chennai India National University of Science and Technology Collage of Dentist Dhi qar64001 Iraq Al-kunooze University College Sabr Computer Engineer Department Basra Iraq

ISBN: (纸本)9798350360165

Using internally integrated sensors, this work tackles the major difficulty of establishing robust and accurate proprioception in soft robots working under loose packing limitations. Instead of assuming constant curvature, we use a modified off-the-shelf resistive sensor to detect local deformations at several places. Across the soft body, we improve the resolution of local deformations by forming several electrical connections. With an average relative error of around 4%, our method incorporates these sensor measurements into a finite element method (FEM) model to estimate the soft body form and magnitude of external force. Especially, our technique uses fuzzy logic which allows for internal fluidic actuation. Promising for soft manipulation platforms, the suggested integrated sensing and modelling approach shows a 13% relative inaccuracy in external force computation within the 0 to 5 N range. © 2024 IEEE.

关键词： fuzzy logic healthcare applications Soft robots Soft Sensors and Actuators

来源：评论

学校读者我要写书评

暂无评论

Application of Explicit Group Sparse Projection in Optimizing 5G Network resource Allocation and Topology design

Application of Explicit Group Sparse Projection in Optimizin...

引用

Innovation in technology (ASIANCON), Asian Conference on

作者： Kodanda rami reddy Manukonda Hemanth Swamy r. Sankar Chidambaranathan C. M. Haribabu.k Saranya. Department of Consulting IBM Senior Software Engineer Motorola Solutions Department of EEE Chennai Institute of Technology Chennai Department of Computer Science and Engineering School of Computing Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Chennai India Department of ECE MLR Institute of Technology Hyderabad Department of AI & DS Dhanalakshmi College of Engineering Chennai

ISBN: (数字)9798350354218

ISBN: (纸本)9798350354225

The growing adoption of 5G networks in diverse domains like IoT, smart cities, healthcare, and industrial automation necessitates advanced optimization techniques. While existing approaches have shown promise, they are often limited by computational intensity, lack of adaptability, and specific focus on geometric constraints. This paper presents EGSP-5G, a novel methodology employing Explicit Group Sparse Projection (EGSP) for 5G network resource allocation and topology design. Its capability to achieve targeted sparsity levels allows for efficient utilization of network resources, thereby making it a versatile and powerful tool for various optimization tasks. remarkably, EGSP-5G achieved a resource utilization rate of 90.02% and a throughput of 110.32 in networks comprising 1000 nodes. It stands as a robust and versatile solution for optimizing 5G networks across diverse application domains.

关键词： Technological innovation Automation 5G mobile communication Network topology Smart cities Medical services Throughput Topology resource management Optimization

来源：评论

学校读者我要写书评

暂无评论

Study of Fuzzy Control for Pitch and Yaw Angles of Two-degrees-of-Freedom Helicopter System

Study of Fuzzy Control for Pitch and Yaw Angles of Two-Degre...

引用

IEEE International Conference on engineering Technologies and Applied Sciences (ICETAS)

作者： Mehmet Çakır Mohammad Javad Fotuhi Zied Ben Hazem Department of Avionic Engineering Institute of Science and Technology Yildiz Technical University Istanbul Türkiye R&D Design and Innovation Engineer KeramikMakina Sanayi veTicaret A.S. Gebze Türkiye Department of Mechatronics Engineering College of Engineering University of Technology Bahrain Salmabad Kingdom of Bahrain

In this paper, PId (Proportional-Integral-derivative), cascade, and fuzzy logic controller (FLC) controllers are developed for the Pitch and Yaw angles of a two-degrees-of-freedom helicopter system (2-dOF HS). Two different FLCs are used for Pitch and yaw angles in order to provide the output speed. A Mamdani-type FLC is implemented for the 2-dOF HS. The inputs of FLC are position error and rate of errors. The FLC is developed to give accurate results in terms of time domain specifications compared to PId and cascade controllers. All controllers have been established in MATLAB/ SIMULINK to test their control performance. According to the obtained simulation results, the FLC returns accurate control results, and robustness to eliminate the external disturbances.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Preparation and Characterization of Tea Polysaccharide-Selenium Nanoparticles with Enhanced Antioxidant and digestive Properties

SSRN

引用

SSrN 2025年

作者： Zhang, Na Li, Shuyao Wu, Lulu Zhong, Haiqi Li, Shuyi Wang, Xuehua Cheng, Shuiyuan Chen, Xu Zhu, Zhenzhou School of Modern Industry for Selenium Science and Engineering Wuhan Polytechnic University Wuhan430023 China National R&D Center for Se-rich Agricultural Products Processing Technology Wuhan Polytechnic University Wuhan430023 China Hubei Engineering Research Center for Deep Processing of Green Se-rich Agricultural Products Wuhan430023 China Huazhong University of Science and Technology China

Preliminary studies have indicated that reducing the particle size of tea polysaccharides (TPS) significantly enhances their absorption, although this process also diminishes their antioxidant capacity. To effectively address this challenge, we have successfully synthesized highly stable selenium nanoparticles (SeNPs) using sodium selenite and ascorbic acid as reductants. TPS is an excellent stabilizer and dispersant. Comprehensive characterization through particle size analysis, transmission electron microscopy (TEM), UV-Vis spectroscopy, FT-Ir, Xrd, and XPS confirms that the resulting TPS-SeNPs exhibit a striking orange-red color, are amorphous, zero-valent, and spherical, with an average particle size of 82.2 nm. The binding of SeNPs to TPS via Se-O and Se-N bonds has been confirmed. Stability tests unequivocally demonstrate that TPS-SeNPs remain stable under various conditions. In vitro experiments reveal robust antioxidant activity, efficient selenium slow-release properties, and enhanced polysaccharide digestion, underscoring their significant potential as antioxidant supplements. © 2025, The Authors. All rights reserved.

关键词： Fourier transform infrared spectroscopy

来源：评论

学校读者我要写书评

暂无评论

In-situ detection equipment for radon-in-water:unattended operation and monthly investigations

引用

Acta Oceanologica Sinica 2023年第8期42卷 178-184页

作者： Chunqian Li Meng Li Guangquan Chen Huaming Yu Chenglun Zhang Wen Liu Jinjia Guo Shibin Zhao Lijun Song Xiliang Cui Ying Chai Lu Cao diansheng Ji Bochao Xu Faculty of Information Science and Engineering Ocean University of ChinaQingdao 266100China R&D Center for Marine Instruments and Apparatuses Qingdao Marine Science and Technology CenterQingdao 266200China Key Laboratory of Marine Sedimentology and Environmental Geology First Institute of OceanographyMinistry of Natural ResourcesQingdao 266061China College of Oceanic and Atmospheric Sciences Ocean University of ChinaQingdao 266100China Frontiers Science Center for Deep Ocean Multispheres and Earth System/Key Laboratory of Marine Chemistry Theory and Technology of Ministry of Education Ocean University of ChinaQingdao 266100China College of Chemistry and Chemical Engineering Ocean University of ChinaQingdao 266100China Institute of Oceanographic Instrumentation Shandong Provincial Key Laboratory of Ocean Environmental Monitoring Techno1ogyQilu University of Technology(Shandong Academy of Sciences)Qingdao 266061China Yantai Marine Environment Monitoring Central Station of State Oceanic Administration Yantai 264003China

radon is recognized as a powerful tracer of certain geophysical processes in marine and aquatic *** the past few decades,the instruments and methods for measuring radon concentration in water have been developed to some extent but still lack underwater in-situ *** we present an in-situ detection equipment for radon-in-water(pulsed ionization chamber(PIC)-radon)to measure dissolved radon in ocean and groundwater *** equipment has been successfully deployed in the Jiaozhou Bay in July 2022 and has achieved 14 d of unattended underwater in-situ *** it was successfully placed in a groundwater monitoring well in the Laizhou Bay in November 2022 and monitored radon activities for over 30 *** results showed that this instrument had a good indication of submarine groundwater *** PIC-radon detector takes advantage of smaller size,lower power consumption,and is barely influenced by humidity,making it particularly suitable for long-term in-situ measurement,especially in harsh environments with limited human care or deployment spaces.

关键词： radon pulsed ionization chamber(PIC) in-situ measurement membrane groundwater ocean

来源：评论

学校读者我要写书评

暂无评论

Study of Complex Servo Gripper for Industrial Applications

Study of Complex Servo Gripper for Industrial Applications

引用

IEEE International Conference on engineering Technologies and Applied Sciences (ICETAS)

作者： Mohammad Javad Fotuhi Fatih Özbay Zied Ben Hazem R&D Design and Innovation Engineer KeramikMakina Sanayi veTicaret A.S. Gebze Türkiye Department of Mechanical Engineering Institute of Science and Technology Yıldız Technical University Istanbul Türkiye Department of Mechatronics Engineering College of Engineering University of Technology Bahrain Salmabad Kingdom of Bahrain

The objective of this work is to study the performance of an industrial complex servo gripper mechanism (ICSGM) in terms of position and speed. This aim is to design and develop an ICSGM that will have the potential to reach a high number of demands in the automation and robotic industries. In the palletizing industry, the design and control of the robotic grippers are the essential part of a system. depending on the application, different types of holders and movements may be required to pick and place the products. This servo gripper includes a combination of angular mechanism and parallel mechanism, this gripper system that allows linear and angular motions for pick and place operations is investigated for design and control purposes. The drive system of the gripper allows the controller to move the system both angularly and linearly. The performance of the ICSGM mechanism is based on comparing its position error and response time with the parallel mechanism and angular mechanism. The position efficiency of these ICSGM is calculated from the position root mean square error (PrMSE). It is the difference of errors between the two measured position signals (input signal from the incremental encoder and output signal from the linear encoder). In this paper, the Force-PId (Proportional-Integral-derivative) controller is developed in PLC with Siemens SCL programming language. The Controller input is the position error and error rate. In addition, system analysis by inventor software design is included in the study. In the experimental setup, an asynchronous motor and 2048 pulse incremental encoders have been used. Finally, the positioning efficiency of these ICSGM is examined and compared under different working plan circumstances.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Multidimensional Lost Circulation risk Quantification Assessment Model Based on Ensemble Machine Learning

引用

SPE Journal 2025年第5期30卷 2285-2295页

作者： Mu, Huayan Jiang, Guancheng Zhang, Wei Sun, Jinsheng He, Yinbo dong, Tengfei Feng, Qi Wang, Quande Yang, Lili College of Artificial Intelligence China University of Petroleum (Beijing) State Key Laboratory of Petroleum Resources and Prospecting China University of Petroleum (Beijing) College of Petroleum Engineering China University of Petroleum (Beijing) (Corresponding author) College of Petroleum Engineering China University of Petroleum (Beijing) CNPC Engineering Technology R&D Company Limited Beijing PetroChina National College of Excellence Engineer Beijing College of Science China University of Petroleum (Beijing)

Summary. The risk of lost circulation is a complex problem that cannot be ignored during drilling operations, and accurate risk assessment is crucial for preventing and controlling lost circulation events. In this study, we establish a multidimensional lost circulation quantitative risk assessment model based on ensemble machine learning, comprehensively considering three dimensions—formation risk, drilling operation risk, and fluid circulation risk. It can effectively capture and quantify the complex interactive relationship between different risk factors, and the accuracy and efficiency of lost circulation risk assessment can be improved when ensemble machine learning algorithms determine different dimensional risk weights. The results of example verification show that when the threshold of the lost circulation risk index is set to 0.55, in the set of 442 samples drilled in a certain block, the assessment accuracy is 85.02% in the samples without lost circulation and 70.21% in the samples with lost circulation. This result reflects the uncertainty of the occurrence of lost circulation events in field operations, the difference in accuracy between the two categories is approximately 15%, and this error is within an acceptable range (0.1~0.2). The independent variable parameters of each dimension of risk in the model can be adjusted according to the actual situation of different blocks, and different lost circulation index thresholds and correction factors can be set. The established model has high adaptability, which can guide lost circulation prevention and control.

关键词： circulation risk geologist drilling fluids and materials geology risk management decision tree learning annular pressure drilling reservoir geomechanics calculation formula circulation event

来源：评论

学校读者我要写书评

暂无评论

Thiol-Functionalized Nitrogen-rich Covalent Organic Framework For Fluorescence detection and removal of Hg (Ii) from Water

SSRN

引用

SSrN 2024年

作者： Shan, Houchao du, Yongjian Jiao, Jinwen Zhang, Ziyi Bian, Ya Cai, di Jiao, Tifeng China State Key Laboratory of Metastable Materials Science and Technology Hebei Key Laboratory of Applied Chemistry Hebei Key Laboratory of Heavy Metal Deep-Remediation in Water and Resource Reuse Yanshan University Qinhuangdao066004 China School of Foreign Studies Yanshan University Qinhuangdao066004 China National Energy R&D Center for Biorefinery Beijing University of Chemical Technology Beijing100029 China

Herein, a novel synthesized thiol-functionalized nitrogen-rich covalent organic framework (TBN-S-SH) was developed as a dual-functional material to sensitivity detect and efficiently remove Hg2+ from water. The donor-acceptor structure consists of an alternating arrangement of the electron-deficient triazine group and the electron-rich triphenylamine group, along with sulfhydryl group and imino group, which facilitates electron transfer and results in intense fluorescence. The extraordinary specific surface area, unique electron rich channels, and abundant metal coordination sites result in outstanding heavy metal adsorption ability. The TBN-S-SH suspension demonstrates significant fluorescence quenching in the presence of Hg2+ ions, a phenomenon that persists even after the addition of co-ions. The superior performance of TBN-S-SH is unequivocally demonstrated through its adsorption kinetics for the removal of Hg2+ ions. TBN-S-SH exhibits a maximum adsorption capacity of 1107 mg/g, enabling the removal of 99.99% of Hg2+ from a 10ppm solution within a mere 20 minutes. Moreover, the underlying mechanism responsible for the superior adsorption efficiency of TBN-S-SH towards Hg2+ has been deciphered through an integrated approach of computational chemistry analysis, physicochemical model fitting, and comprehensive experimental studies. This investigation reveals innovative applications for triazine-derived conjugated organic polymers within environmental remediation initiatives. © 2024, The Authors. All rights reserved.

关键词： Adsorption

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：