THE EFFECT OF SUBSTRATE TEMPERATURE ON GRAIN STRUCTURES AND MAGNETIC PROPERTIES OF Pd / (Pt / Co / Pt) MODULATED MULTILAYERS

Ying Xiao,Jun-Hao Xu,Jesper Wittborn,Seong-Cho Yu,K V. Rao 한국자기학회 1995 韓國磁氣學會誌 Vol.5 No.5

Pd/(Pt/Co/Pt) modulated multilayer films have been deposited on various substrates with Pd/Pt buffer layers. Films grown at different temperatures have very distinct magnetic properties and surface microstructures. Atomic force (AFM) and scanning tunneling (STM) microscopies studies of these films reveal that films deposited at room temperature have small grain structures with an average grain size of about 140 Å. However, much larger grains of about 1200 Å in size are observed in the films grown on buffer layers which were deposited at 500℃. These large grains are found to actually consist of smaller grains of about 170 Å in diameter. SQUID magnetic and Kerr hysteresis loop measurements indicate that multilayer films with large grains exhibit high magnetic coercivities of around 5 kOe. A subgrain growth model is proposed to understand the observed grain structures in the multilayers.

ADAPTIVE ENERGY MANAGEMENT STRATEGY OF FUEL CELL SIGHTSEEING VEHICLE

Yingxiao Yu,Hongxin Zou,Jian Liu,Yan Sun,Jiading Zhou 한국자동차공학회 2022 International journal of automotive technology Vol.23 No.6

To realize optimal power distribution between proton exchange membrane fuel cell and battery in fuel cell sightseeing vehicle, an offline extremum seeking-based optimized energy management strategy is proposed in this work. The simulation model of the vehicle and the electric propulsion is developed. The model is based on vehicle dynamics and real motor efficiency as constant DC/DC, motor controllers and transmission efficiency are considered. In order to improve the vehicle economy and component durability, a new improved strategy based on quadratic utility function is proposed. A multi-objective artificial bee colony algorithm is designed, and the optimal parameters of the improved strategy are solved by the algorithm. Simulation results show that compared with thermostat control, the proposed strategy can improve the driving range by 3.98 % and durability by 34 %. In addition, the strategy considers the SOC state and combines the historical output power information of the vehicle and its components.

Applying an Intelligent Method to Estimate Air Passenger Demand : Theory and Computerized Implementation

Yingxiao Zhou,Peng Zhao 보안공학연구지원센터 2016 International Journal of Smart Home Vol.10 No.6

Air travel demand estimation is vital for airlines and government authorities to make reasonable decisions. However, when estimating the demand, air passenger volume has been frequently employed as an instrumental variable, although there exists a big deviation between them. This inappropriate practice will lead to misleading conclusions and seri-ously perverse decisions. This paper, based on the partial adjustment theory, proposes a new method to distinguish and estimate air travel demand from air passenger volume. A multi-dimensional variable selection method is originally proposed and a new estimation method is advanced to solve the problem of endogeneity and serial correlation. The pro-posed model is finally applied to estimate and analyze the aggregate air travel demand in China, the results show that air travel demand in China is enjoying a big potential. The model may also be applied to study road, rail and ocean transportation demand.

Review of Energy Saving Technology of Hybrid Construction Machine

YingXiao Yu,Eunjin Jeong,Kyoung Kwan Ahn 유공압건설기계학회 2018 드라이브·컨트롤 Vol.15 No.4

This study focuses on the energy saving of construction machinery, especially excavators and wheel loaders coming on a backdrop of energy shortage and environment pollution. Due to the problem of the low energy efficiency and the pollution of conventional hydraulic excavators, hybrid hydraulic excavators were developed to solve this challenge. Firstly, this paper discusses the different configurations of the hybrid hydraulic excavator and recent research trend of hybrid hydraulic excavator is reviewed. Secondly, the productions and research of the construction machine companies were analyzed and finally, the future challenges of hybrid technology to the hydraulic excavator were discussed.

An Application of Genetic Programming in Nonlinear Combining Forecasting

Yingxiao Zhou,Peng Zhao 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.6

It has been deemed as an effective tool of forecasting performance improvement to combine different component forecasting models. However, current nonlinear combining models are not able to meet the requirement of high forecasting accuracy in practice. To tackle this challenge, this paper constructs a hybrid, named genetic programming and least squared estimation based nonlinear combining method (GPLSE-NC), of a standard genetic programming (GP) algorithm and the least square estimation (LSE) method, based on which a new nonlinear combined forecasting model is proposed. To verify the feasibility of the proposed model, based on the container throughput data of Shanghai Port from January 2004 to November 2015, 4 different forecasting models are constructed and compared with the proposed GPLSE-NC combining model in terms of three forecasting performance evaluation criteria. The empirical results show significant superiority of the GPLSE-NC model over its rivals, which reveals that the proposed model has a great potential to be a powerful nonlinearly combine forecasting approach.

Improvement of Energy Saving for Hybrid Hydraulic Excavator with Novel Powertrain

Yingxiao Yu,Tri Cuong Do,Bifeng Yin,Kyoung Kwan Ahn 한국정밀공학회 2023 International Journal of Precision Engineering and Vol.10 No.2

To reduce the energy consumption and emission, an innovative powertrain and the energy management strategy are proposed for hydraulic excavator in this paper. The novel powertrain consists of the engine, motor/generator, planetary gear, gearbox, and variable hydraulic pump. The energy regeneration system is also applied on the system to regenerate the potential energy and charge the battery. An improved equivalent consumption minimization strategy is proposed to control the engine, motor/generator, hydraulic pump and gearbox. The engine working points can be located in high efficiency range, with the proposed powertrain and the energy management strategy. To verify the energy saving efficiency of the proposed system, the test bench is built in laboratory. Compared with the current hybrid system, the energy saving efficiency reaches 11% in condition of a large velocity. Compared with the current hybrid system and conventional system, the energy saving efficiencies are 4% and 48% respectively with different cylinder velocities. The fuel consumption and emission of hydraulic excavator can be reduced effectively with the proposed powertrain and energy management strategy.

Review of Energy Saving Technology of Hybrid Construction Machine

Yu, YingXiao,Jeong, Eunjin,Ahn, Kyoung Kwan The Korean Society for Fluid Power and Constructio 2018 드라이브·컨트롤 Vol.15 No.4

This study focuses on the energy saving of construction machinery, especially excavators and wheel loaders coming on a backdrop of energy shortage and environment pollution. Due to the problem of the low energy efficiency and the pollution of conventional hydraulic excavators, hybrid hydraulic excavators were developed to solve this challenge. Firstly, this paper discusses the different configurations of the hybrid hydraulic excavator and recent research trend of hybrid hydraulic excavator is reviewed. Secondly, the productions and research of the construction machine companies were analyzed and finally, the future challenges of hybrid technology to the hydraulic excavator were discussed.

語序類型學視角下的方位後置詞硏究

馬英驍(Ma, Yingxiao),樸庸?(Park, Yongjin) 한국중국어교육학회 2018 중국어교육과연구 Vol.0 No.27

Examining the Chinese preposition system from the perspective of word order typology reveals that there are not only prepositions but also postpositions within it. The so-called “locative postposition” is the function word after the noun and from the grammaticalization of the simple directional word. For example, the “shang” of “shujia shang”, and the “li” of “keben shang”. In this article, firstly, the author investigate the structure of “NP + simple directional word” in the corpus and examine grammaticalization attribute of “shang, xia, qian, hou, li, wai, nei, wai”. Secondly, we examine semantic and syntactic roles of locative postposition. The semantic role of locative postposition words is to give the common noun in the front as locative or spatial meaning, but the preposition “zai”, which give the whole postpositional phrase structure behind a meaning of the place or space where the action take place, is confused with locative postposition. Thirdly, according to the meaning of the syntactic structure, the sentences including locative postposition words are also classified. For example, the existence, appearance, disappearance of a person or thing in the position or space; some cases occurrence in the position or space, and the description of it; whether or not a possibility exists in the position or space etc. Finally, in this thesis, we explain the use of locative postposition on syntactic structure aspect.

Enabling Performance Intelligence for Application Adaptation in the Future Internet

Prasad Calyam,Munkundan Sridharan,Yingxiao Xu,Kunpeng Zhu,Alex Berryman,Rohit Patali,Aishwarya Venkataraman 한국통신학회 2011 Journal of communications and networks Vol.13 No.6

Today’s Internet which provides communication channels with best-effort end-to-end performance is rapidly evolving into an autonomic global computing platform. Achieving autonomicity in the Future Internet will require a performance architecture that (a) allows users to request and own ‘slices’ of geographically-distributed host and network resources, (b) measures and monitors end-to-end host and network status, (c) enables analysis of the measurements within expert systems, and (d)provides performance intelligence in a timely manner for application adaptations to improve performance and scalability. We describe the requirements and design of one such “Future Internet performance architecture” (FIPA), and present our reference implementation of FIPA called ‘OnTimeMeasure.’ OnTimeMeasure comprises of several measurement-related services that can interact with each other and with existing measurement frameworks to enable performance intelligence.We also explain our OnTimeMeasure deployment in the global environment for network innovations (GENI) infrastructure collaborative research initiative to build a sliceable Future Internet. Further, we present an application–adaptation case study in GENI that uses OnTimeMeasure–enabled performance intelligence in the context of dynamic resource allocation within thin-client based virtual desktop clouds. We show how a virtual desktop cloud provider in the Future Internet can use the performance intelligence to increase cloud scalability, while simultaneously delivering satisfactory user quality-of-experience.

ADAPTIVE ENERGY MANAGEMENT STRATEGY OF FUEL CELL ELECTRIC VEHICLE

Yan Sun,Changgao Xia,Bifeng Yin,Yingxiao Yu,Jiangyi Han,Haiyu Gao 한국자동차공학회 2022 International journal of automotive technology Vol.23 No.5

The energy management strategy (EMS) can efficiently split the power among different sources for a fuel cell electric vehicle (FCEV). This paper puts forward how to cooperate with a proton exchange membrane fuel cell as the primary energy source, and a ultracapacitor as the auxiliary energy storage. Firstly, the test bench of fuel cell is built and the characteristic of fuel cell is tested. A model of vehicle is built in AMESim software based on the real parameters of vehicle especially the characteristic of fuel cell. Secondly, the traditional power following strategy is introduced and an optimal energy management strategy is proposed. The demand power is decomposed by quadratic utility function (QUF) and Karush-Kuhn-Tucker (KKT) condition. In order to balance the vehicle economy and durability of fuel cell, the multi-objective artificial bee colony algorithm (MOABC) and pareto solution set are used to solve the optimal balance coefficient in the algorithm. The simulation results show that compared with the traditional strategy under one WLTP driving cycle, the novel strategy can reduce the fuel cell degradation by 25.08 %, and the equivalent hydrogen consumption can be also reduced.