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Journal of Innovative Optical Health Sciences 2015年第5期8卷 107-115页

作者： Sureeporn Narongwongwattana Ronnarit Rittiron Chin Hock lim Department of Food Engineering Faculty of Engineering at Kamphaengsaen Kasetsart University NakhonpathomThailand Thai Rubber Latex Corporation(Thailand)Public Company limited ChonburiThailand

Volatile Fatty Acid number(VFA no.)is one of the parameters indicating the state of quality of Para rubber latex at that particular *** factories analyze this parameter using standard analytical method as in ISO 506:1992(E).Nevertheless,this procedure is complicated,chemical and time consuming,as well as skilled analyst ***,near infrared(NIR)spectroscopy which is rapid,accurate and nonchemicals method was applied to determine the VFA *** latex and concentrated latex based on quantification and discriminant *** best calibration equation was obtained from standard normal variate(SNV)spectra in the region of 6109.7–5770.3,4613.1–4242.9 cm^(-1) with R?0:832,SECV?0:036 and no *** the performance check,statistically it was found that SECV and bias were low enough for practical acceptance and the predicted VFA *** not di®erent significantly from actual VFA *** 95% confidence *** addition,discriminant model was developed to separate good quality latex from the deteriorated latex using VFA *** 0.06 as standard as in ISO 2004:2010(E).The discriminant model can be used to screen the latex with overall accuracy of 91.86%in validation set.

关键词： Hevea brasiliensis latex quality polyisoprene ISO 12099:2010(E)

Gastroesophageal reflux disease at the turn of millennium

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World Journal of Gastroenterology 2003年第10期9卷 2135-2136页

作者： Lee-Guan lim Khek-Yu Ho Department of Medicine National University HospitalSingapore

Gastroesophageal reflux disease (GERD) has been an area of active research in the Asia-Pacific region in the recent years. This article outlines some of the interesting research findings. It comprises three parts. The first part dealt with recent data on the changing epidemiology of GERD in *** second part summarized published studies on the relationship between GERD and Helicobacter pylori, relevant to the Asia-Pacific region. The last part discussed some of the recent advances in the treatment of GERD.

关键词： Gastroesophageal Reflux Helicobacter Infections Humans

Safety-Constrained Multi-Agent Reinforcement Learning for Power Quality Control in Distributed Renewable Energy Networks

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Computers, Materials & Continua 2024年第4期79卷 449-471页

作者： Yongjiang Zhao Haoyi Zhong Chang Cyoon lim Department of Computer Engineering Chonnam National UniversityYeosu59626South Korea

This paper examines the difficulties of managing distributed power systems,notably due to the increasing use of renewable energy sources,and focuses on voltage control challenges exacerbated by their variable nature in modern power *** tackle the unique challenges of voltage control in distributed renewable energy networks,researchers are increasingly turning towards multi-agent reinforcement learning(MARL).However,MARL raises safety concerns due to the unpredictability in agent actions during their exploration *** unpredictability can lead to unsafe control *** mitigate these safety concerns in MARL-based voltage control,our study introduces a novel approach:Safety-ConstrainedMulti-Agent Reinforcement Learning(SC-MARL).This approach incorporates a specialized safety constraint module specifically designed for voltage control within the MARL *** module ensures that the MARL agents carry out voltage control actions *** experiments demonstrate that,in the 33-buses,141-buses,and 322-buses power systems,employing SC-MARL for voltage control resulted in a reduction of the Voltage Out of Control Rate(%***)from0.43,0.24,and 2.95 to 0,0.01,and 0.03,***,the Reactive Power Loss(Q loss)decreased from 0.095,0.547,and 0.017 to 0.062,0.452,and 0.016 in the corresponding systems.

关键词： Power quality control multi-agent reinforcement learning safety-constrained MARL

Abnormal State Detection in Lithium-ion Battery Using Dynamic Frequency Memory and Correlation Attention LSTM Autoencoder

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Computer Modeling in Engineering & Sciences 2024年第8期140卷 1757-1781页

作者： Haoyi Zhong Yongjiang Zhao Chang Gyoon lim Department of Computer Engineering Chonnam National UniversityYeosu59626South Korea

This paper addresses the challenge of identifying abnormal states in Lithium-ion Battery(LiB)time series *** the energy sector increasingly focuses on integrating distributed energy resources,Virtual Power Plants(VPP)have become a vital new framework for energy *** are key in this context,owing to their high-efficiency energy storage capabilities essential for VPP ***,LiBs are prone to various abnormal states like overcharging,over-discharging,and internal short circuits,which impede power transmission *** methods for detecting such abnormalities in LiB are too broad and lack precision for the dynamic and irregular nature of LiB *** response,we introduce an innovative method:a Long Short-Term Memory(LSTM)autoencoder based on Dynamic Frequency Memory and Correlation Attention(DFMCA-LSTM-AE).This unsupervised,end-to-end approach is specifically designed for dynamically monitoring abnormal states in LiB *** method starts with a Dynamic Frequency Fourier Transform module,which dynamically captures the frequency characteristics of time series data across three scales,incorporating a memory mechanism to reduce overgeneralization of abnormal *** is followed by integrating LSTM into both the encoder and decoder,enabling the model to effectively encode and decode the temporal relationships in the time *** tests on a real-world LiB dataset demonstrate that DFMCA-LSTM-AE outperforms existing models,achieving an average Area Under the Curve(AUC)of 90.73%and an F1 score of 83.83%.These results mark significant improvements over existing models,ranging from 2.4%–45.3%for AUC and 1.6%–28.9%for F1 score,showcasing the model’s enhanced accuracy and reliability in detecting abnormal states in LiB data.

关键词： Lithium-ion battery abnormal state detection autoencoder virtual power plants LSTM

Hydroxycut hepatotoxicity:A case series and review of liver toxicity from herbal weight loss supplements

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World Journal of Gastroenterology 2008年第45期14卷 6999-7004页

作者： Lily Dara Jennifer Hewett Joseph Kartaik lim Department of Medicine Griffin Hospital Section of Digestive Diseases Yale University School of Medicine

Dietary supplements represent an increasingly common source of drug-induced liver injury. Hydroxycut is a popular weight loss supplement which has previously been linked to hepatotoxicity, although the individual chemical components underlying liver injury remain poorly understood. We report two cases of acute hepatitis in the setting of Hydroxycut exposure and describe possible mechanisms of liver injury. We also comprehensively review and summarize the existing literature on commonly used weight loss supplements, and their individual components which have demon-strated potential for liver toxicity. An increased effort to screen for and educate patients and physicians about supplement-associated hepatotoxicity is warranted.

关键词： Hydroxycut Dietary supplements Liver Liver failure Toxicity Weight loss Medicine Hepatitis

Growth of nitrogen-doped p-type ZnO thin films prepared by atomic layer epitaxy

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Rare Metals 2006年第Z1期25卷 110-114页

作者： LEE Chongmu lim Jongmin PARK Suyoung KIM Hyounwoo Department of Materials Science & Engineering Inha University 253 Yonghyeon-dong Incheon 402-751 Korea

Nitrogen-doped, p-type ZnO thin films were grown successfully on sapphire (0001) substrates by using atomic layer epitaxy (ALE). Zn(C2H5)2 [Diethylzinc, DEZn], H2O and NH3 were used as a zinc precursor, an oxidant and a doping source gas, respectively. The lowest electrical resistivity of the p-type ZnO films grown by ALE and annealed at 1000 ℃ in an oxygen atmosphere for 1 h was 18.3 Ω·cm with a hole concentration of 3.71×1017 cm-3. Low temperature-photoluminescence analysis and time-dependent Hall measurement results support that the nitrogen-doped ZnO after annealing is a p-type semiconductor.

关键词： p-type ZnO atomic layer deposition electrical resistivity carrier concentration photoluminescence

Transport of chemical signals in systemic acquired resistance

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Journal of Integrative Plant Biology 2017年第5期59卷 336-344页

作者： Archana Singh Gah-Hyun lim Pradeep Kachroo Department of Plant Pathology University of Kentucky Lexington Kentucky USA

Systemic acquired resistance （SAR） is a form of broad-spectrum resistance induced in response to local infections that protects uninfected parts against subsequent secondary infections by related or unrelated pathogens. SAR signaling requires two parallel branches, one regulated by salicylic acid （SA）. and theother by azelaic acid （AzA） and glycerol-3-phosphate （G3P）. AzA and G3P function downstream of the free radicals nitric oxide （NO） and reactive oxygen species （ROS）. During SAR, SA, AzA and G3P accumulate in the infected leaves, but only a small portion of these is transported to distal uninfected leaves. SA is preferen- tially transported via the apoplast, whereas phloem loading of AzA and G3P occurs via the symplast. The symplastic transport of AzA and G3P is regulated by gating of the plasmodesmata （PD）. The PD localizing proteins, PDLP1 and PDLP5, regulate SAR by regulating PD gating as well as the subcellular partitioning of a SAR-associated protein.

关键词： William J. Lucas University of California Davis USA

A Stacking-Based Deep Neural Network Approach for Effective Network Anomaly Detection

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Computers, Materials & Continua 2021年第2期66卷 2217-2227页

作者： Lewis Nkenyereye Bayu Adhi Tama Sunghoon lim Department of Computer and Information Security Sejong UniversitySeoul05006Korea Data Science Group Institute for Basic Science(IBS)Daejeon34126Korea Department of Industrial Engineering Ulsan National Institute of Science and TechnologyUlsan44919Korea

An anomaly-based intrusion detection system(A-IDS)provides a critical aspect in a modern computing infrastructure since new types of attacks can be *** prevalently utilizes several machine learning algorithms(ML)for detecting and classifying network *** date,lots of algorithms have been proposed to improve the detection performance of A-IDS,either using individual or ensemble *** particular,ensemble learners have shown remarkable performance over individual learners in many applications,including in cybersecurity ***,most existing works still suffer from unsatisfactory results due to improper ensemble *** aim of this study is to emphasize the effectiveness of stacking ensemble-based model for A-IDS,where deep learning(e.g.,deep neural network[DNN])is used as base learner *** effectiveness of the proposed model and base DNN model are benchmarked empirically in terms of several performance metrics,i.e.,Matthew’s correlation coefficient,accuracy,and false alarm *** results indicate that the proposed model is superior to the base DNN model as well as other existing ML algorithms found in the literature.

关键词： Anomaly detection deep neural network intrusion detection system stacking ensemble

Forward collision warning system for motorcyclist using smart phone sensors based on time-to-collision and trajectory prediction

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Journal of Intelligent and Connected Vehicles 2021年第3期4卷 93-103页

作者： Qun lim Yi lim Hafiz Muhammad Dylan Wei Ming Tan U-Xuan Tan Department of Engineering Product Development Singapore University of Technology and DesignSingaporeSingapore Department of Information Systems Technology and Design Singapore University of Technology and DesignSingaporeSingapore

Purpose–The purpose of this paper is to develop a proof-of-concept(POC)Forward Collision Warning(FWC)system for the motorcyclist,which determines a potential clash based on time-to-collision and trajectory of both the detected and ego vehicle(motorcycle).Design/methodology/approach–This comes in three ***,time-to-collision value is to be calculated based on low-cost camera video ***,the trajectory of the detected vehicle is predicted based on video data in the 2 D pixel ***,the trajectory of the ego vehicle is predicted via the lean direction of the motorcycle from a low-cost inertial measurement unit ***–This encompasses a comprehensive Advanced FWC system which is an amalgamation of the three approaches mentioned ***,to predict time-to-collision,nested Kalmanﬁlter and vehicle detection is used to convert image pixel matrix to relative distance,velocity and time-to-collision ***,for trajectory prediction of detected vehicles,a few algorithms were compared,and it was found that long short-term memory performs the best on the data *** lastﬁnding is that to determine the leaning direction of the ego vehicle,it is better to use lean angle measurement compared to riding pattern classiﬁ***/value–The value of this paper is that it provides a POC FWC system that considers time-to-collision and trajectory of both detected and ego vehicle(motorcycle).

关键词： Forward collision warning Time-to-collision Advanced driving assistance system Motorcycles

Some Results on Noetherian Warfield Domains

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Algebra Colloquium 2022年第1期29卷 67-78页

作者： Kui Hu Jung Wook lim Dechuan Zhou College of Science Southwest University of Science and Technology MianyangSichuan 621010China Kyungpook National University Daegu 41566Korea Department of Mathematics College of Natural Sciences Kyungpook National UniversityDaegu 41566Korea

Let R be a *** this paper,we show that if R is one dimensional,then R is a Noetherian Warfield domain if and only if every maximal ideal of R is 2-generated and for every maximal ideal M of R,M is divisorial in the ring(M:M).We also prove that a Noetherian domain R is a Noetherian Warfield domain if and only if for every maximal ideal M of R,M^(2) can be generated by two ***,we give a sufficient condition under which all ideals of R are strongly Gorenstein projective.

关键词： strongly Gorenstein projective module Noetherian Warfield domain strongly Gorenstein Dedekind domain