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Viscosity solution to nonlinear H_∞ control

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Chinese Science Bulletin 1997年第11期42卷 890-894页

作者： hong Yiguang, yung Siupang, MEI Shengwei and QIN Huashu1. Institute of Systems Science, Chinese Academy of Sciences, Beijing 100080, China 2. Department of Mathematics, hong Kong University, hong Kong, China Institute of Systems Science Chinese Academy of Scirnces Beijing China Department of Mathematics How Kong University Hong Kong China

where the state variable x∈R^n,the output z∈R^k,the control variable u∈U R^m,and thedisturbance w∈W R^l.U and W are compact.F,Z are C^1 mappings defined in a neigh-

关键词： nonlinear H∞ control viscosity solution disturbance attenuation.

Adaptive Error Curve Learning Ensemble Model for Improving Energy Consumption Forecasting

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Computers, Materials & Continua 2021年第11期69卷 1893-1913页

作者： Prince Waqas Khan yung-Cheol Byun Department of Computer Engineering Jeju National UniversityJeju-siKorea

Despite the advancement within the last decades in the field of smart grids,energy consumption forecasting utilizing the metrological features is still *** paper proposes a genetic algorithm-based adaptive error curve learning ensemble(GA-ECLE)*** proposed technique copes with the stochastic variations of improving energy consumption forecasting using a machine learning-based ensembled approach.A modified ensemble model based on a utilizing error of model as a feature is used to improve the forecast *** approach combines three models,namely CatBoost(CB),Gradient Boost(GB),and Multilayer Perceptron(MLP).The ensembled CB-GB-MLP model’s inner mechanism consists of generating a meta-data from Gradient Boosting and CatBoost models to compute the final predictions using the Multilayer Perceptron network.A genetic algorithm is used to obtain the optimal features to be used for the *** prove the proposed model’s effectiveness,we have used a four-phase technique using Jeju island’s real energy consumption *** the first phase,we have obtained the results by applying the CB-GB-MLP *** the second phase,we have utilized a GA-ensembled model with optimal *** third phase is for the comparison of the energy forecasting result with the proposed ECL-based *** fourth stage is the final stage,where we have applied the GA-ECLE *** obtained a mean absolute error of 3.05,and a root mean square error of *** experimental results are provided,demonstrating the superiority of the proposed GA-ECLE model over traditional ensemble models.

关键词： Energy consumption meteorological features error curve learning ensemble model energy forecasting gradient boost catboost multilayer perceptron genetic algorithm

Nice new hypertension guidelines

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World Journal of Hypertension 2012年第5期2卷 45-49页

作者： Bernard man yung Cheung Tommy Tsang Cheung Division of Clinical Pharmacology and Therapeutics Department of Medicine University of Hong Kong

The National Institute for Clinical Excellence in the United Kingdom published a new set of guidelines on the management of primary hypertension in August 2011, reflecting some important changes in the diagnosis and treatment of hypertension. Ambulatory blood pressure measurement is now the new gold standard for diagnosis. Home blood pressure monitoring is a useful alternative for the diagnosis and monitoring of hypertension. Calcium channel blockers(CCB) and blockers of the renin-angiotensin system have surpassed diuretics and β-blockers as first line options. Patients younger than 55 should receive an angiotensin-converting enzyme inhibitor, or an angiotensin receptor blocker if the former is not tolerated. Older patients should be started on a CCB. A thiazide diuretic can be added to these two groups for better blood pressure control, but. chorthalidone and indapamide are the preferred diuretics as they showed favorable outcomes in large clinical trials. Treatment with these three drug classes should be sufficient in the majority of patients, but if triple therapy is still insufficient, referral to a hypertension specialist is recommended. Additional diuretic therapy, spironolactone, or an α or β blocker can be used as the fourth line treatment.

关键词： Hypertension Guidelines Angiotensin-converting enzyme inhibitor The National Institute for Clinical Excellence

Power enhancement of pontoon-type wave energy convertor via hydroelastic response and variable power take-off system

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Journal of Ocean Engineering and Science 2020年第1期5卷 1-18页

作者： Zhi yung Tay Yanji Wei Engineering Cluster Singapore Institute of Technology10 Dover DriveSingapore 138683Singapore Faculty of Science and Engineering University of GroningenNijenborgh 4Groningen 9747AGthe Netherlands

Wave energy has gained its popularity in recent decades due to the vast amount of untapped wave energy *** are numerous types of wave energy convertor(WEC)being proposed and to be economically viable,various means to enhance the power generation from WECs have been studied and *** this paper,a novel pontoon-type WEC,which is formed by multiple plate-like modules connected by hinges,are *** power enhancement of this pontoon-type WEC is achieved by allowing certain level of structural deformation and by utilizing a series of optimal variable power take-off(PTO)*** wave energy is converted into useful electricity by attaching the PTO systems on the hinge connectors such that the mechanical movements of the hinges could produce *** this paper,various structural rigidity of the interconnected modules are considered by changing the material Young’s modulus in order to investigate its impact on the power *** addition,the genetic algorithm optimization scheme is utilized to seek for the optimal PTO damping in the variable PTO *** is observed that under certain condition,the flexible pontoon-type WEC with lesser connection joints is more effective in generating energy as compared to its rigid counterpart with higher connection *** is also found that the variable PTO system is able to generate greater energy as compared to the PTO system with constant/uniform PTO damping.

关键词： Power generation enhancement Pontoon-type wave energy convertor Very large floating structure(VLFS) Hydroelastic response Variable power take-off system Genetic algorithm optimization.

WILLINGNESS TO PAY AND PREFERENCES FOR GREEN HOUSING ATTRIBUTES IN hong KONG

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Journal of Green Building 2012年第2期7卷 137-152页

作者： yung Yau Department of Public and Social Administration City University of Hong KongTat Chee AvenueKowloonHong KongPeople’s Republic of China

Promotion of green housing is of utmost importance in the achievement of sustainability in the built environment. While the states often use legislation or offer subsidies to motivate developers to build green, market forces can lead to green housing provision without any state intervention if the market players are willing to pay extra for the green attributes of housing. This study aims to explore residents’ willingness to pay (WTP) and preferences for green housing attributes based on the findings from a structured questionnaire survey in hong Kong. The housing attributes under investigation include the uses of green materials and construction methods (e.g. timber from sustainable sources), energy-efficient technologies (e.g. LED lighting) and water-saving devices (e.g. grey water recycling system). Results indicate that apart from moral or altruistic reasons, residents’ WTP was mainly motivated by economic incentives. Green housing attributes which can directly reduce residents’ utility bills corresponded to greater WTP. Besides, environmental attitude was found a strong determinant of the WTP. Policy implications of the research findings then follow.

关键词： willingness to pay green building environmental economics green consumerism sustainability

Polyelectrolyte multilayer electrostatic gating of graphene field-effect transistors

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Nano Research 2014年第11期7卷 1650-1658页

作者： yung Yu Wang Peter J. Burke Department of Chemical Engineering and Materials Science University of California Irvine Irvine California 92697 USA Department of Electrical Engineering and Computer Science University of California Irvine Irvine California 92697 USA

We apply polyelectrolyte multilayer films by consecutive alternate adsorption of positively charged polyallylamine hydrochloride and negatively charged sodium polystyrene sulfonate to the surface of graphene field effect transistors. Oscillations in the Dirac voltage shift with alternating positive and negative layers clearly demonstrate the electrostatic gating effect in this simple model system. A simple electrostatic model accounts well for the sign and magnitude of the Dirac voltage shift. Using this system, we are able to create p-type or n-type graphene at will. This model serves as the basis for understanding the mechanism of charged polymer sensing using graphene devices, a potentially technologically important application of graphene in areas such as DNA sequencing, biomarker assays for cancer detection, and other protein sensing applications.

关键词： dirac point graphene transistor electrostatic gating polyallylaminehydrochloride (PAH) sodium polystyrenesulfonate (PSS)

Static and Dynamic Integrated Analysis Scheme for Android Malware

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Journal of Electronic Science and Technology 2017年第3期15卷 246-250页

作者： Chun-Hao yung Wen-Shenq Juang Department of Information management National Kaohsiung First University of Science and Technology Kaohsiung 824

The Android platform is the most popular mobile operating *** the increase of the number of Android users,a lot of security issues have *** order to detect the malicious behaviors for the installed Android Apps,in this paper,we propose an Android malware detecting scheme by integrating static and dynamic analysis *** use Androguard and Droid Box to extract the features,and then remove the irrelevant *** we employ the support vector machine（SVM） to classify the Android malware and *** the result of our proposed scheme,the proposed integrated static and dynamic analysis scheme with SVM can effectively detect the Android malware.

关键词： Index Terms--Android dynamic analysis malware,static analysis support vector machine

Generating Synthetic Data to Reduce Prediction Error of Energy Consumption

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Computers, Materials & Continua 2022年第2期70卷 3151-3167页

作者： Debapriya Hazra Wafa Shafqat yung-Cheol Byun Department of Computer Engineering Jeju National UniversityJeju-siKorea

Renewable and nonrenewable energy sources are widely incorporated for solar and wind energy that produces electricity without increasing carbon dioxide *** industries worldwide are trying hard to predict future energy consumption that could eliminate over or under contracting energy resources and unnecessary *** learning techniques for predicting energy are the trending solution to overcome the challenges faced by energy *** basic need for machine learning algorithms to be trained for accurate prediction requires a considerable amount of *** critical factor is balancing the data for enhanced *** Augmentation is a technique used for increasing the data available for *** data are the generation of new data which can be trained to improve the accuracy of prediction *** this paper,we propose a model that takes time series energy consumption data as input,pre-processes the data,and then uses multiple augmentation techniques and generative adversarial networks to generate synthetic data which when combined with the original data,reduces energy consumption prediction *** propose TGAN-skip-Improved-WGAN-GP to generate synthetic energy consumption time series tabular *** modify TGANwith skip connections,then improveWGANGPby defining a consistency term,and finally use the architecture of improved WGAN-GP for training *** used various evaluation metrics and visual representation to compare the performance of our proposed *** also measured prediction accuracy along with mean and maximum error generated while predicting with different variations of augmented and synthetic data with original *** mode collapse problemcould be handled by TGAN-skip-Improved-WGAN-GP model and it also converged faster than existing GAN models for synthetic data *** experiment result shows that our proposed technique of combining synthetic data with original data could significantly red

关键词： Energy consumption generative adversarial networks synthetic data time series data TGAN WGAN-GP TGAN-skip prediction error augmentation

On a Class of Non-local Operators in Conformal Geometry

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Chinese Annals of Mathematics,Series B 2017年第1期38卷 215-234页

作者： Sun yung Alice CHANG Ray A.YANG Mathematics Department Princeton UniversityFine HallWashington RoadPrinceton New Jersey 08544-1000USA

In this expository article, the authors discuss the connection between the study of non-local operators on Euclidean space to the study of fractional GJMS operators in conformal geometry. The emphasis is on the study of a class of fourth order operators and their third order boundary operators. These third order operators are generalizations of the Dirichlet-to-Neumann operator.

关键词： High order fractional GJMS operator Generalized boundary Yamabe problem Sobolov trace extension