检索结果-南通市图书馆

High Na-ion conductivity andmechanical integrity of anion-exchanged polymeric hydrogel electrolytes for flexible sodium ion hybrid energy storage

引用

susMat 2024年第1期4卷 140-153页

作者： JungWoo Hong Harpalsinh H.Rana Jeong Hee Park Jun su kim Sang Joon Lee Gun Jang Tae Hoon Kang Kang Ho Shin Sang Ha Baek Wooseok Yang Kwang Ho kim Ju-Hyuk Lee Ho Seok Park School of Chemical Engineering Sungkyunkwan UniversitySuwonRepublic of Korea Clean Energy Research Center Korea Institute of Science and Technology(KIST)SeoulRepublic of Korea KIST-SKKU Carbon-Neutral Research Center Sungkyunkwan University(SKKU)SuwonRepublic of Korea SKKU Institute of Energy Science and Technology(SIEST) Sungkyunkwan UniversitySuwonRepublic of Korea COSMOS LAB/92 Jomaru-ro 385beon-gilBucheon-siRepublic of Korea SKKU Advanced Institute of Nano Technology(SAINT) Sungkyunkwan UniversitySuwonRepublic of Korea Department of Health Sciences and Technology Samsung Advanced Institute for Health Sciences and Technology(SAIHST)Sungkyunkwan UniversitySuwonRepublic of Korea

The polymeric gel electrolytes are attractive owing to their higher ionic conductivities than those of dry polymer electrolytes and lowered water activity for enlarged potential ***,the ionic conductivity and mechanical strength of the Na-ion conducting polymeric gel electrolytes are limited by below 20 mS cm−1 and 2.2 ***,we demonstrate Na-ion conducting and flexible polymeric hydrogel electrolytes of the chemically coupled poly(diallyldimethylammonium chloride)-dextrin-N,N′-methylene-bisacrylamide film immersed in NaClO_(4) solution(ex-DDA-Dex+NaClO_(4))for flexible sodium-ion hybrid capacitors(f-NIHC).In particular,the anion exchange reaction and synergistic interaction of ex-DDA-Dex with the optimum ClO_(4)−enable to greatly improve the ionic conductivity up to 27.63 mS cm−1 at 25◦C and electrochemical stability window up to 2.6 V,whereas the double networking structure leads to achieve both the mechanical strength(7.48 MPa)and softness of hydrogel ***,the f-NIHCs with the ex-DDA-Dex+NaClO_(4) achieved high specific and high-rate capacities of 192.04 F g^(−1)at 500 mA g^(−1)and 116.06 F g^(−1)at 10000 mA g^(−1),respectively,delivering a large energy density of 120.03Wh kg^(−1)at 906Wkg^(−1)and long cyclability of 70%over 500 cycles as well as demonstrating functional operation under mechanical stresses.

关键词： anion exchange chemistry flexible energy storage hybrid energy storage hydrogel electrolytes renewable electrolytes sodium storage

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Pain Efficacy of a Home-Based Low-Intensity Continuous Ultrasound Stimulator for Knee Arthritis: A Single-Arm, Open-Label, Prospective Clinical Trial

引用

Health 2024年第7期16卷 703-716页

作者： Md. Habibur Rahman Yeon-Gyu Jang Johny Bajgai subham Sharma Kchorng Vira Abdul-Nasir Sofian Seong Hoon Goh Yundeok kim Cheol-su kim Doo-sup kim Kyu-Jae Lee Department of Convergence Medicine Wonju College of Medicine Yonsei University Wonju Republic of Korea Department of Neurosurgery Wonju Severance Christian Hospital Wonju College of Medicine Yonsei University Wonju Republic of Korea Department of Global Medical Science Wonju College of Medicine Yonsei University Wonju Republic of Korea Department of Internal Medicine Division of Hematology-Oncology Wonju Severance Christian Hospital Wonju Republic of Korea Department of Orthopaedic surgery Wonju College of Medicine Yonsei University Wonju Republic of Korea

1) Background: Osteoarthritis (OA) is defined as a degenerative joint disease that mainly affects the bone. This study aims to evaluate the effect of low-intensity continuous ultrasound (LICUS) treatment on the knee of osteoarthritis patients through home-based intervention using the LICUS medical device. 2) Methods: The clinical trials were designed in a single-arm, open-label, and intervention study. Thirty-five participants, including those who dropped out (12%), were screened and enrolled. The patients received LICUS (1.1 MHz, 1.5 W/cm2, collimated beams) on the knee by the instructions of the investigator at home (5 min/session, 3 times/day, for four-weeks). Outcome measures were assessed using the Visual Analog Scale (VAS) as a primary endpoint and the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) as a secondary endpoint to evaluate pain relief and functional recovery of the knee between pre-treatment (baseline) and post-treatment (four-weeks). 3) Results: Knee pain scores measured using the VAS and WOMAC indices were significantly reduced after a four-week treatment with LICUS compared to baseline. Knee stiffness and functional capacity were significantly reduced after the LICUS application. In addition, there were no reports of adverse effects during the study period. 4) Conclusion: Long-term and home-based application of LICUS can be recommended as an alternative option for the treatment of OA patients, as evidenced by the effect of pain relief and knee function recovery.

关键词： Knee Osteoarthritis Low-Intensity Continuous Ultrasound Stimulator Clinical Trial Visual Analogue Scale Western Ontario and McMaster Universities Osteoarthritis Index

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Minimum dose path planning for facility inspection based on the discrete Rao-combined ABC algorithm in radioactive environments with obstacles

引用

Nuclear Science and Techniques 2023年第4期34卷 26-40页

作者： Kwon Ryong Hong su Il O Ryon Hui kim Tae Song kim Jang su kim Faculty of Energy Science Kim Il Sung UniversityPyongyangDemocratic People’s Republic of Korea High-Tech Research&Development Centre Institute of Information TechnologyKim Il Sung UniversityPyongyangDemocratic People’s Republic of Korea

Workers who conduct regular facility inspections in radioactive environments will inevitably be affected by ***,it is important to optimize the inspection path to ensure that workers are exposed to the least amount of *** study proposes a discrete Rao-combined artificial bee colony(ABC)algorithm for planning inspection paths with minimum exposure doses in radioactive environments with *** this algorithm,retaining the framework of the traditional ABC algorithm,we applied the directional solution update rules of Rao algorithms at the employed bee stage and onlooker bee stage to increase the exploitation ability of the algorithm and implement discretion using the swap operator and swap *** increase the randomness of solution generation,the chaos algorithm was used at the initialization *** K-opt operation technique was introduced at the scout bee stage to increase the exploration ability of the *** path planning in an environment with complex structural obstacles,an obstacle detour technique using a recursive algorithm was *** evaluate the performance of the proposed algorithm,we performed experimental simulations in three hypothetical environments and compared the results with those of improved particle swarm optimization,chaos particle swarm optimization,improved ant colony optimization,and discrete Rao’s *** experimental results show the high performance of the proposed discrete Rao-combined ABC algorithm and its obstacle detour capability.

关键词： Minimum dose Path planning Nuclear facility inspection ABC algorithm Rao algorithms Swap sequence K-opt operation

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Electromyogram Based Personal Recognition Using Attention Mechanism for IoT Security

引用

Computers, Materials & Continua 2023年第11期77卷 1663-1678页

作者： Jin su kim sungbum Pan IT Research Institute Chosun UniversityGwang-Ju61452Korea

As Internet of Things(IoT)technology develops,integrating network functions into diverse equipment introduces new challenges,particularly in dealing with counterfeit *** the past few decades,research efforts have focused on leveraging electromyogram(EMG)for personal recognition,aiming to address security ***,obtaining consistent EMG signals from the same individual is inherently challenging,resulting in data irregularity issues and consequently decreasing the accuracy of personal ***,conventional studies in EMG-based personal recognition have overlooked the issue of data *** paper proposes an innovative approach to personal recognition that combines a siamese fusion network with an auxiliary classifier,effectively mitigating the impact of data irregularities in EMG-based *** proposed method employs empirical mode decomposition(EMD)to extract distinctive *** model comprises two sub-networks designed to follow the siamese network architecture and a decision network integrated with the novel auxiliary classifier,specifically designed to address data *** two sub-networks sharing a weight calculate the compatibility *** auxiliary classifier collaborates with a neural network to implement an attention *** attention mechanism using the auxiliary classifier solves the data irregularity problem by improving the importance of the EMG gesture *** results validated the efficacy of the proposed personal recognition method,achieving a remarkable 94.35%accuracy involving 100 subjects from the multisession CU_sEMG database(DB).This performance outperforms the existing approaches by 3%,employing auxiliary ***,an additional experiment yielded an improvement of over 0.85%of Ninapro DB,3%of CU_sEMG DB compared to the existing EMG-based recognition ***,the proposed personal recognition using EMG proves to secure IoT devices,off

关键词： Personal recognition electromyogram siamese network auxiliary classifier

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Artificial synaptic and self-rectifying properties of crystalline(Na_(1-x)K_(x))NbO_(3)thin films grown on Sr_(2)Nb_(3)O_(10)nanosheet seed layers

引用

Journal of Materials Science & Technology 2022年第28期123卷 136-143页

作者： in-su kim Jong-Un Woo Hyun-Gyu Hwang Bumjoo kim Sahn Nahm Department of Materials Science and Engineering Korea UniversitySeoul 02841Republic of Korea KU-KIST Graduate School of Converging Science and Technology Korea UniversitySeoul 02841Republic of Korea

Crystalline(Na_(1-x)K_(x))NbO_(3)(NKN)thin films were deposited on Sr_(2)Nb_(3)O_(10)/TiN/Si(S-TS)substrates at 370°***_(2)Nb_(3)O_(10)(SNO)nanosheets served as a template for the formation of crystalline NKN films at low *** the NKN film was deposited on one SNO monolayer,the NKN memristor exhibited normal bipolar switching characteristics,which could be attributed to the formation and destruction of oxygen vacancy ***,the NKN memristor with one SNO monolayer exhibited artificial synaptic ***,the NKN memristor deposited on two SNO monolayers exhibited self-rectifying bipolar switching properties,with the two SNO monolayers acting as tunneling barriers in the *** conduction mechanism of the NKN memristor with two SNO monolayers in the highresistance state is attributed to Schottky emission,direct tunneling,and Fowler–Nordheim(FN)*** current conduction in this memristor in the low-resistance state was governed by direct tunneling and FN ***,the NKN memristor with two SNO monolayers exhibited large ON/OFF and rectification ratios and artificial synaptic ***,an NKN memristor with two SNO monolayers can be used for fabricating artificial synaptic devices with a cross-point array structure.

关键词： Bipolar switching properties Self-rectifying bipolar switching properties Artificial synaptic properties Crystalline NKN thin film Sr_(2)Nb_(3)O_(10)nanosheet seed layer

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Multi-Stream CNN-Based Personal Recognition Method Using surface Electromyogram for 5G Security

引用

Computers, Materials & Continua 2022年第8期72卷 2997-3007页

作者： Jin su kim Min-Gu kim Jae Myung kim sung Bum Pan IT Research Institute Chosun UniversityGwangju61452Korea Interdisciplinary Program in IT-Bio Convergence System Chosun UniversityGwangju61452Korea

As fifth generation technology standard(5G)technology develops,the possibility of being exposed to the risk of cyber-attacks that exploits vulnerabilities in the 5G environment is *** existing personal recognitionmethod used for granting permission is a password-basedmethod,which causes security ***,personal recognition studies using bio-signals are being conducted as a method to access control to *** bio-signal,surface electromyogram(sEMG)can solve the existing personal recognition problem that was unable to the modification of registered information owing to the characteristic changes in its signal according to the performed ***,as an advantage,sEMG can be conveniently measured from arms and *** paper proposes a personal recognition method using sEMG,based on a multi-stream convolutional neural network(CNN).The proposed method decomposes sEMG signals into intrinsic mode functions(IMF)using empirical mode decomposition(EMD)and transforms each IMF into a *** recognition is performed by analyzing time–frequency features from the spectrogram transformed *** database(DB)adopted in this paper is the Ninapro DB,which is a benchmark EMG *** experimental results indicate that the personal recognition performance of the multi-stream CNN using the IMF spectrogram improved by 1.91%,compared with the singlestream CNN using the spectrogram of raw sEMG.

关键词： Personal recognition electromyogram signal multi-stream network empirical mode decomposition

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Energy-Efficient Scheduling for a Cognitive IoT-Based Early Warning System

引用

Computers, Materials & Continua 2022年第6期71卷 5061-5082页

作者： Saeed Ahmed Noor Gul Jahangir Khan Junsu kim su Min kim Department of Electronics Engineering Korea Polytechnic UniversitySiheung15073Korea Mirpur University of Science and Technology Mirpur10250Pakistan Department of Electronics University of PeshawarPeshawar25120Pakistan Sarhad University of Science and Information Technology Peshawar25000Pakistan

Flash floods are deemed the most fatal and disastrous natural hazards globally due to their prompt onset that requires a short prime time for emergency *** Internet of things(CIoT)technologies including inherent characteristics of cognitive radio(CR)are potential candidates to develop a monitoring and early warning system(MEWS)that helps in efficiently utilizing the short response time to save lives during flash ***,most CIoT devices are battery-limited and thus,it reduces the lifetime of the *** tackle these problems,we propose a CIoTbased MEWS to slash the fatalities of flash *** extend the lifetime of the MEWS by conserving the limited battery energy of CIoT sensors,we formulate a resource assignment problem for maximizing energy *** solve the problem,at first,we devise a polynomial-time heuristic energyefficient scheduler(EES-1).However,its performance can be unsatisfactory since it requires an exhaustive search to find local optimum values without consideration of the overall network energy *** enhance the energy efficiency of the proposed EES-1 scheme,we additionally formulate an optimization problem based on a maximum weight matching bipartite ***,we additionally propose a Hungarian algorithm-based energy-efficient scheduler(EES-2),solvable in polynomial *** simulation results show that the proposed EES-2 scheme achieves considerably high energy efficiency in the CIoT-based MEWS,leading to the extended lifetime of the MEWS without loss of throughput performance.

关键词： Flash floods internet of things cognitive radio early warning system network lifetime energy efficiency

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Optimal Cooperative Spectrum Sensing Based on Butterfly Optimization Algorithm

引用

Computers, Materials & Continua 2022年第4期71卷 369-387页

作者： Noor Gul Saeed Ahmed Atif Elahi su Min kim Junsu kim Department of Electronics Engineering Korea Polytechnic University15073Gyeonggi-doKorea Department of Electronics University of Peshawar25120Pakistan Department of Electrical Engineering Mirpur University of Science of TechnologyAJ&K10250Pakistan Department of Electrical Engineering International Islamic UniversityIslamabad 44000Pakistan

Since the introduction of the Internet of Things(IoT),several researchers have been exploring its productivity to utilize and organize the spectrum *** radio(CR)technology is characterized as the best aspirant for wireless communications to augment IoT *** the CR networks,secondary users(sus)opportunistically get access to the primary users(PUs)spectrum through spectrum *** multipath issues in the wireless channel can fluster the sensing ability of the individual ***,several cooperative sus are engaged in cooperative spectrum sensing(CSS)to ensure reliable sensing *** CSS,security is still a major concern for the researchers to safeguard the fusion center(FC)against abnormal sensing reports initiated by the malicious users(MUs).In this paper,butterfly optimization algorithm(BOA)-based soft decision method is proposed to find an optimized weighting coefficient vector correlated to the sus sensing *** coefficient vector is utilized in the soft decision rule at the FC before making any global *** effectiveness of the proposed scheme is compared for a variety of parameters with existing schemes through simulation *** results confirmed the supremacy of the proposed BOA scheme in both the normal sus’environment and when lower and higher SNRs information is carried by the different categories of MUs.

关键词： Internet of Things cognitive radio network butterfly optimization algorithm particle swarm optimization malicious users genetic algorithm

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Reconfigurable Sensing Time in Cooperative Cognitive Network Using Machine Learning

引用

Computers, Materials & Continua 2023年第3期74卷 5209-5227页

作者： Noor Gul Saeed Ahmed su Min kim Muhammad Sajjad Khan Junsu kim Department of Electronics Engineering Korea Polytechnic UniversityGyeonggi-do15073Korea Department of Electronics University of PeshawarPeshawar25120Pakistan Deparment of Electrical Engineering Mirpur University of Science of TechnologyAJ&KMirpur10250Pakistan Department of Electrical Engineering International Islamic UniversityIslamabad44000Pakistan

A cognitive radio network(CRN)intelligently utilizes the available spectral resources by sensing and learning from the radio environment to maximize spectrum *** CRNs,the secondary users(sus)opportunistically access the primary users(PUs)***,unambiguous detection of the PU channel occupancy is the most critical aspect of the operations of *** spectrum sensing(CSS)is rated as the best choice for making reliable sensing *** paper employs machinelearning tools to sense the PU channels reliably in *** sensing parameters are reconfigured to maximize the spectrum utilization while reducing sensing error and cost with improved channel *** fine-k-nearest neighbor algorithm(FKNN),employed in this paper,estimates the number of samples based on the nature of the channel under-specific detection and false alarm probability *** simulation results reveal that the sensing cost is suppressed by reducing the sensing time and exploiting the traditional fusion rules,validating the effectiveness of the proposed ***,the global decision made at the fusion center(FC)based on the modified sensing samples,results low energy consumption,higher throughput,and improved detection with low error probabilities.

关键词： Energy detection machine learning k-nearest-neighbor decision tree linear regression throughput energy consumption

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Examining global warming factors using self-organizing map and Granger causality network: a case from South Korea

引用

Ecological Processes 2023年第1期12卷 142-152页

作者： Thakur Dhakal Tae-su kim Do-Hun Lee Gab-sue Jang Department of Life Science Yeungnam University National Institute of Ecology

Background Understanding and patterning the possible causal variables of global warming is attributed to the development of effective prevention and mitigation strategies for climate change. Therefore, we aimed to pattern and visualize the possible causal variables of global warming and measure the causality between *** We patterned and visualized the time series（103 years, from 1918 to 2020） of global surface temperature（GTemp） data with the gross domestic product（GDP） per capita, human population（Pop）, and carbon dioxide（CO2）emissions of South Korea using a self-organizing map（SOM） and examined the causable local feature of global warming using the Granger causality（GC） test. The time-series data were trained and mapped in 4 × 4 SOM grids, and causality networks between variables were examined using multivariate Granger test *** SOM patterned 103 years of data, and a dominant cluster contained continuous time-series data from 2007to 2020. Similarly, the CO2emissions of South Korea were obtained as a predictable unidirectional causal variable for GTemp from GC analysis. Based on data from the past 34 years, significant causality（p-value = 0.01） was observed with the integrated effect of Pop, GDP, and CO2on *** This study patterned the time-series data using SOM and examined the causal relationship between variables using the GC test. The study framework could be used as a reference by future scholars, ecologists, and the United Nations sustainable Development Goals.

关键词： Climate change Ecology Self-organizing map sustainable development goal Greenhouse gas

来源：

同方期刊数据库评论

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

欢迎您,

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

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

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

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

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：