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Defect Detection Model Using Time Series Data Augmentation and Transformation

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Computers, Materials & Continua 2024年第2期78卷 1713-1730页

作者： Gyu-Il kim Hyun Yoo Han-Jin Cho Kyungyong chung Department of Computer Science Kyonggi UniversitySuwon-si16227Korea Contents Convergence Software Research Institue Kyonggi UniversitySuwon-si16227Korea Department of Energy IT Engineering Far East UniversityEumsung-gun27601Korea Division of AI Computer Science and Engineering Kyonggi UniversitySuwon-si16227Korea

Time-series data provide important information in many fields,and their processing and analysis have been the focus of much ***,detecting anomalies is very difficult due to data imbalance,temporal dependence,and ***,methodologies for data augmentation and conversion of time series data into images for analysis have been *** paper proposes a fault detection model that uses time series data augmentation and transformation to address the problems of data imbalance,temporal dependence,and robustness to *** method of data augmentation is set as the addition of *** involves adding Gaussian noise,with the noise level set to 0.002,to maximize the generalization performance of the *** addition,we use the Markov Transition Field(MTF)method to effectively visualize the dynamic transitions of the data while converting the time series data into *** enables the identification of patterns in time series data and assists in capturing the sequential dependencies of the *** anomaly detection,the PatchCore model is applied to show excellent performance,and the detected anomaly areas are represented as heat *** allows for the detection of anomalies,and by applying an anomaly map to the original image,it is possible to capture the areas where anomalies *** performance evaluation shows that both F1-score and Accuracy are high when time series data is converted to ***,when processed as images rather than as time series data,there was a significant reduction in both the size of the data and the training *** proposed method can provide an important springboard for research in the field of anomaly detection using time series ***,it helps solve problems such as analyzing complex patterns in data lightweight.

关键词： Defect detection time series deep learning data augmentation data transformation

A Framework for Enhancing Privacy and Anonymity in Blockchain-Enabled IoT Devices

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Computers, Materials & Continua 2024年第3期78卷 4263-4282页

作者： Muhammad Saad Muhammad Raheel Bhutta Jongik kim Tae-Sun chung Department of Artificial Intelligence Ajou UniversitySuwon443-749Korea Department of Electrical and Computer Engineering University of Utah Asia CampusIncheon21985Korea Department of Artificial Intelligence Chungnam National UniversityDaejeon34134Korea

With the increase in IoT(Internet of Things)devices comes an inherent challenge of *** the world today,privacy is the prime concern of every *** one’s privacy and keeping anonymity throughout the system is a desired functionality that does not come without inevitable trade-offs like scalability and increased complexity and is always exceedingly difficult to *** challenge is keeping confidentiality and continuing to make the person innominate throughout the *** address this,we present our proposed architecture where we manage IoT devices using blockchain *** proposed architecture works on and off blockchain integrated with the closed-circuit television(CCTV)security camera fixed at the rental *** this framework,the CCTV security camera feed is redirected towards the owner and renter based on the smart contract *** entity(owner or renter)can see the CCTV security camera feed at one *** is no third-party dependence except for the CCTV security camera deployment *** contributions include the proposition of framework architecture,a novel smart contract algorithm,and the modification to the ring signatures leveraging an existing cryptographic *** are made based on different systems’security and key management *** an empirical study,our proposed algorithm performed better in key generation,proof generation,and verification *** comparing similar existing schemes,we have shown the proposed architectures’*** now,we have developed this system for a specific area in the real ***,this system is scalable and applicable to other areas like healthcare monitoring systems,which is part of our future work.

关键词： Privacy anonymity blockchain IoT smart contracts

高粱食品:一种古老作物带来新的健康(英文)

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食品科学 2004年第10期25卷 431-436页

作者： okkyung kim chung Scott R.Bean Seok-Ho Park USDA/ARS Manhattan KS 66502.USAUSDA/ARS Manhattan KS 66502.USAKansas State University Manhattan KS 66506USA

高粱是一种古老的作物初次被驯化于非洲,并在公元前3000年左右推广到了世界各地。高粱是一种抗旱的谷类作物,生长在其它作物无法生存的半干旱气候条件下,在2002年世界高粱产量达到5450万公吨。美国高粱年产量可达1300～1500万公吨左右,... 详细信息

高粱是一种古老的作物初次被驯化于非洲,并在公元前3000年左右推广到了世界各地。高粱是一种抗旱的谷类作物,生长在其它作物无法生存的半干旱气候条件下,在2002年世界高粱产量达到5450万公吨。美国高粱年产量可达1300～1500万公吨左右,其中30%～50%用于出口,在西方国家中用高粱喂养动物已非常普遍,大约世界高粱产量的40%被用于作为非洲和印度等国家人民的食物。在美国对于患有腹乳糜泻疾病无法适应面筋蛋白的人已经用白色食品级的杂交作物生产出运用于无小麦产品作为食用,不能食用小麦或其它谷类作物比如黑麦,大麦,他们提供了些刺激性小的面粉已成为用于制造无小麦食品的原料。当高粱缺乏面筋时,高粱粉便不能生产有黏性和弹性的生面团,因此蛋奶糊配方被用于制造高粱产品,包括面包威化饼干、面条和比萨饼皮,这些原来都是由面粉制成。研究表明,高粱系生产高质量食物,因此种植高粱将被用于改善提高食物质量,最近一些研究表明由于这种古老作物包括含有二十烷醇(policosanols)的多酚复合物和高粱蜡的高抗氧化水平,可能对健康有独特的益处,对于保护心血管的健康至关重要。尤其在把小麦作为主要食物的西方世界,对于给患有腹乳糜泻疾病的人们提供了健康稳定的主食是一个挑战。因此高粱这种古老的作物作为21世纪?

关键词：高粱谷类作物小麦高梁有限供水产量抗旱健康乳糜泻食物

Experience of Mental Health Professionals Collaborating with Peer Supporters in a Community Mental Health Service Team

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International Journal of Mental Health Promotion 2024年第4期26卷 251-260页

作者： Sowon Lee Boyoung kim chung Kil Park College of Nursing Chonnam National UniversityGwangju61469South Korea College of Oriental Medicine Wonkwang UniversityIksan54538South Korea

This study explored how mental health professionals collaborate with peer supporters with mental disabilities in a community mental health *** January 19 to February 23,2021,three 60 min interviews were conducted with six mental health professionals working at a Korean community *** results were qualitatively analyzed and divided into four themes and eight *** four themes were the perceptions of and challenges in working with peer supporters with mental disabilities,conflict and confusion about working with peer supporters,forming partnerships with peer supporters,and policy support for peer supporters’job *** reported vague anxiety about working with a peer supporter and difficulties with the trial-and-error process of adjusting to the role as *** time,however,they realized that they needed to make an effort to develop meaningful relationships with peer supporters and mental health ***,through this study,we realized that there was a need to improve the system,such as building infrastructure for job stability for peer support workers and capacity building tailored to the mental *** peer supporters play various roles while working with mental health professionals,this study showed the possibility of mutual growth through communication and *** findings will help prepare systems necessary for collaboration between the two teams amidst the increasing institutionalization of peer support for mental disorders.

关键词： Peer supporters mental health mental health professionals collaborating

丙烯酰胺抑制剂对曲奇面团流变学和烘焙特性的影响(英文)

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食品科学 2011年第5期32卷 157-167页

作者： Mohamed ABDEL-SHAFI ABDEL-SAMIE 黄卫宁李珍妮 okkyung kim chung 江南大学食品科学与技术国家重点实验室江苏无锡214122

通过引入天冬酰胺酶和/或甜菊苷到曲奇配方中替代部分糖以抑制其生产过程中丙烯酰胺的生成,分析单独或同时添加这两种配料时曲奇面团的动态流变学特性、硬度和曲奇饼干的烘焙感官特性。结果表明:当单独添加天冬酰胺酶(1000 ASNU)时可降... 详细信息

通过引入天冬酰胺酶和/或甜菊苷到曲奇配方中替代部分糖以抑制其生产过程中丙烯酰胺的生成,分析单独或同时添加这两种配料时曲奇面团的动态流变学特性、硬度和曲奇饼干的烘焙感官特性。结果表明:当单独添加天冬酰胺酶(1000 ASNU)时可降低曲奇样品中天冬酰胺含量(0.045mg/g)的67%,从而抑制95%丙烯酰胺的生成,且不会影响曲奇产品的烘焙特性。而天冬酰胺酶和甜菊苷同时添加时可抑制样品中96%丙烯酰胺的生成。动态流变学结果表明:引入天冬酰胺酶不会影响曲奇面团的流变学性质,而甜菊苷的加入会增加面团的弹性模量G'和黏性模量G〃,这是因为甜菊苷替代面团中糖成分后促进曲奇面团面筋网络的形成。但是,部分糖被取代后会改变曲奇的一些烘焙特性,如:水分含量增加,曲奇饼干颜色变淡,延展率和破碎力降低。感官分析结果表明:感官评定者不能接受45%和60%糖取代量的曲奇,但可以接受15%或30%糖取代量的曲奇。

关键词：丙烯酰胺天冬酰胺酶取代糖抗氧化剂

天然抗氧化剂抑制曲奇中丙烯酰胺含量的研究(英文)

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食品科学 2011年第7期32卷 129-140页

作者： Mohamed ABDEL-SHAFI ABDEL-SAMIE 黄卫宁李珍妮姚远 okkyung kim chung 江南大学食品科学与技术国家重点实验室江苏无锡214122 普渡大学食品科学系美国印第安纳州西拉法叶in47907

采用天然抗氧化剂荞麦、孜然和黑种草籽抑制曲奇中丙烯酰胺的生成。研究这3种配料对面粉中丙烯酰胺前体的含量、面粉和曲奇抗氧化的特性、曲奇烘焙特性和丙烯酰胺含量的影响,结果表明:这3种配料组合都可以增加面粉中还原糖和天门冬酰胺... 详细信息

采用天然抗氧化剂荞麦、孜然和黑种草籽抑制曲奇中丙烯酰胺的生成。研究这3种配料对面粉中丙烯酰胺前体的含量、面粉和曲奇抗氧化的特性、曲奇烘焙特性和丙烯酰胺含量的影响,结果表明:这3种配料组合都可以增加面粉中还原糖和天门冬酰胺的含量,也可以增加面粉和曲奇的抗氧化特性(包括总酚类物质、DPPH自由基清除能力和ABTS+.的抑制能力)。当所添加的天然抗氧化剂含量增加时,曲奇颜色变深,表现为更低的L*,a*和b*值;荞麦和孜然的引入会增加曲奇中的水分含量,而黑种草籽则相反。所有天然抗氧化剂组合都可以增加曲奇的延展率。未添加天然抗氧化剂的曲奇中丙烯酰胺的含量为361.2μg/kg,而单独添加15%荞麦、15%孜然和15%黑种草籽使得曲奇中丙烯酰胺的含量分别降低了20.2%、67.6%和75.9%。感官分析结果表明:富含天然抗氧化剂的曲奇都可以被人们所喜欢。

关键词：丙烯酰胺抑制剂抗氧化性荞麦孜然黑种草籽曲奇

Benefit in physical function and quality of life to nonsurgical treatment of varicose veins: Pilot study

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World Journal of Clinical Cases 2024年第3期12卷 517-524页

作者： Gwon-Min kim BoKun kim Minwoo Jang Jong-Hwan Park Miju Bae chung Won Lee Jong Won kim Up Huh Medical Research Institute Pusan National University School of MedicineYangsan 50612South Korea Future Convergence Research Institute Changwon National UniversityChangwon 51140South Korea Department of Convergence Medical Science School of MedicinePusan National UniversityYangsan 50612South Korea Health Convergence Medicine Laboratory Biomedical Research InstitutePusan National University HospitalBusan 49241South Korea Department of Thoracic and Cardiovascular Surgery Pusan National University School of MedicineBiomedical Research InstitutePusan National University HospitalBusan 49241South Korea

BACKGROUND Studies on varicose veins have focused its effects on physical function;however,whether nonsurgical treatments alter muscle oxygenation or physical function remains ***,the differences in such functions between individuals with varicose veins and healthy individuals remain *** To investigate changes in physical function and the quality of life(QOL)following nonsurgical treatment of patients with varicose veins and determine the changes in their muscle oxygenation during *** We enrolled 37 participants(those with varicose veins,n=17;healthy individuals,n=20).We performed the following measurements pre-and post-nonsurgical treatment in the varicose vein patients and healthy individuals:Calf muscle oxygenation during the two-minute step test,open eyes one-leg stance,30 s sit-to-stand test,visual analog scale(VAS)for pain,Pittsburgh sleep quality index,physical activity assessment,and QOL *** Varicose veins patients and healthy individuals differ in most variables(physical function,sleep quality,and QOL).Varicose veins patients showed significant differences between pre-and post-nonsurgical treatment—results in the 30 sit-to-stand test[14.41(2.45)to 16.35(4.11),P=0.018],two-minute step test[162.29(25.98)to 170.65(23.80),P=0.037],VAS for pain[5.35(1.90)to 3.88(1.73),P=0.004],and QOL[39.34(19.98)to 26.69(17.02),P=0.005];however,no significant difference was observed for muscle *** Nonsurgical treatment improved lower extremity function and QOL in varicose veins patients,bringing their condition close to that of healthy *** studies should include patients with severe varicose veins requiring surgery to confirm our findings.

关键词： Varicose vein Nonsurgical treatment Physical function Quality of life Near infrared spectroscopy

Data driven computational design of stable oxygen evolution catalysts by DFT and machine learning:Promising electrocatalysts

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Journal of Energy Chemistry 2024年第4期91卷 645-655页

作者： Hwanyeol Park Yunseok kim Seulwon Choi Ho Jun kim Department of Display Materials Engineering Soonchunhyang UniversityAsanChung-nam 31538Republic of Korea Department of Electronic Materials Devicesand Equipment EngineeringSoonchunhyang Uni-versityAsanChungnam 31538Republic of Korea Department of Mechanical Engineering Hanyang University ERICA Campus55 Hanyangdaehak-roSangnok-guAnsanGyeonggi-do 15588Republic of Korea

The revolutionary development of machine learning(ML),data science,and analytics,coupled with its application in material science,stands as a significant milestone of the scientific community over the last *** active,stable,and cost-efficient catalysts is crucial for oxygen evolution reaction owing to the significance in a range of electrochemical energy co nversion *** this work,we have demonstrated an efficient approach of high-throughput screening to find stable transition metal oxides under acid condition for high-performance oxygen evolution reaction(OER)catalysts through density functional theory(DFT)calculation and a machine learning algorithm.A methodology utilizing both the Materials Project database and DFT calculations was introduced to assess the acid stability under specific reaction *** upon this,OER catalytic activity of acid-stable materials was examined,highlighting potential OER catalysts that meet the required *** identified IrO_(2),Fe(SbO_(3))_(2),Co(SbO_(3))_(2),Ni(SbO_(3))_(2),FeSbO_(4),Fe(SbO_(3))4,MoWO_(6),TiSnO_(4),CoSbO_(4),and Ti(WO_(4))_(2)as promising catalysts,several of which have already been experimentally discovered for their robust OER performance,while others are novel for experimental exploration,thereby broadening the chemical scope for efficient OER *** of the bond length of TM-O and the first ionization energy were used to unveil the OER activity *** the calculated results,guidance has been derived to effectively execute advanced high-throughput screenings for the discovery of catalysts with favorable ***,the intrinsic correlation between catalytic performance and various atomic and structural factors was elucidated using the ML *** these approaches,we not only streamline the choice of the promising electrocatalysts but also offer insights for the design of varied catalyst models and the discovery of superior c

关键词： Transition metal oxides Oxygen evolution reaction High-throughput screening First-principles calculation Machine learning

Stable immobilization of lithium polysulfides using three-dimensional ordered mesoporous Mn2O3 as the host material in lithium-sulfur batteries

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Carbon Energy 2024年第6期6卷 99-112页

作者： Sung Joon Park Yun Jeong Choi Hyun-seung kim Min Joo Hong Hongjun Chang Janghyuk Moon Young-Jun kim Junyoung Mun Ki Jae kim Department of Energy Science Sungkyunkwan UniversitySuwonGyeonggi-doRepublic of Korea Department of Energy Engineering Konkuk UniversitySeoulRepublic of Korea Advanced Batteries Research Center Korea Electronic Technology InstituteSeongnamRepublic of Korea Department of Future Energy Engineering Sungkyunkwan UniversitySuwonRepublic of Korea Department of Energy Systems Engineering Chung-Ang UniversitySeoulRepublic of Korea SKKU Advanced Institute of Nanotechnology Sungkyunkwan UniversitySuwonGyeonggi-doRepublic of Korea SKKU Institute of Energy Science and Technology(SIEST) Sungkyunkwan UniversitySuwonRepublic of Korea School of Advanced Materials Science and Engineering Sungkyunkwan UniversitySuwonRepublic of Korea

Lithium-sulfur batteries(LSBs)have drawn significant attention owing to their high theoretical discharge capacity and energy ***,the dissolution of long-chain polysulfides into the electrolyte during the charge and discharge process(“shuttle effect”)results in fast capacity fading and inferior electrochemical *** this study,Mn_(2)O_(3)with an ordered mesoporous structure(OM-Mn_(2)O_(3))was designed as a cathode host for LSBs via KIT-6 hard templating,to effectively inhibit the polysulfide shuttle ***-Mn_(2)O_(3)offers numerous pores to confine sulfur and tightly anchor the dissolved polysulfides through the combined effects of strong polar-polar interactions,polysulfides,and sulfur chain *** OM-Mn_(2)O_(3)/S composite electrode delivered a discharge capacity of 561 mAh g-1 after 250 cycles at 0.5 C owing to the excellent performance of OM-Mn_(2)O_(3).Furthermore,it retained a discharge capacity of 628mA h g-1 even at a rate of 2 C,which was significantly higher than that of a pristine sulfur electrode(206mA h g-1).These findings provide a prospective strategy for designing cathode materials for high-performance LSBs.

关键词： host material lithium-sulfur battery ordered mesoporous structure shuttle effect transition-metal oxides