근교 공원 휴게시설의 유니버설 디자인 연구 -중국 상하이를 중심으로-

주홍기 ( Zhou¸ Hongqi ),허효안 ( Xu¸ Xiaoan ),지문환 ( Jee¸ Moon Hwan ) 한국기초조형학회 2021 기초조형학연구 Vol.22 No.5

근교 공원의 휴게시설은 공원 환경의 중요한 구성 요소이며, 사용자의 욕구를 어떻게 충족시키고 공공서비스의 질을 향상시키는지는 공원 조성 과정에서 직면한 중요한 문제가 되었다. 본 연구는 유니버설 디자인의 컨셉을 통해 휴게시설을 연구 및 분석하고, 기존 디자인의 문제점을 파악하고 개선방안을 제안함으로써 사용자의 요구를 보다 잘 만족시키는 것을 목적으로 한다. 아울러 연구내용은 공공공간시설물 디자인에 참고자료로 활용될 수 있다. 연구방법은 문헌 연구와 현장조사, 설문조사 위주로 진행하였다. 먼저 다양한 문헌 연구를 통해 근교 공원, 휴게시설, 유니버설 디자인의 기본 개념과 원리를 살펴보았다. 다음으로 휴게시설 유니버설 디자인의 필요성을 분석하고, 선행연구 및 전문가 설문조사를 통해 휴게시설의 유니버설 디자인 5원칙인 체계성, 안전성, 쾌적성, 매력성, 접근성 원칙을 확정하였다. 마지막으로 상하이시 근교 공원 4곳의 휴게시설을 현장조사와 사용자 설문조사를 통해 분석 및 평가를 진행했다. 분석 결과 다음 세 가지 결론을 도출하였다. 첫째, 근교 공원의 휴게시설 디자인은 유니버설 디자인 컨셉과 원칙에 따라 최대한 많은 사람의 사용 편의를 고려해야 한다. 둘째, 근교 공원의 휴게시설 디자인은 체계성, 매력성, 접근성 측면에서 좋은 평가를 받고 있지만 안전성과 쾌적성 요인은 미흡하여 구체적인 상황에 따라 휴게시설에 대한 추가 연구와 개선이 필요하다. 셋째, 휴게시설의 유니버설 디자인 원칙은 평가지표로서 일정한 과학성과 타당성을 가지며, 도시 내 다양한 공공공간의 휴게시설에 대한 평가 기준으로 활용될 수 있다. Recreational facilities in suburban parks are important components of the park environment, and how to satisfy the needs of users and improve the quality of public services has become an important issue faced in the process of park construction. The purpose of this study is to better satisfy the needs of users by researching and analyzing recreational facilities through the concept of universal design, identifying problems with existing designs, and suggesting improvement plans. In addition, the results of this research can be utilized as reference for the design of public space facilities. Literature review, field study, and questionnaire survey were mainly used as research methods. First, the basic concepts and principles of suburban parks, recreational facilities, and universal design were examined through various literature reviews. Next, the necessity of universal design in recreational facilities was analyzed, and the five principles of universal design for recreational facilities, such as systemicity, safety, comfort, attractiveness, and accessibility, were confirmed through prior research and expert surveys. Finally, it analyzed and evaluated recreational facilities in four parks in the suburbs of Shanghai through field investigation and user surveys. As a result of the analysis, the following three conclusions were drawn. First, in designing recreational facilities in suburban parks, the convenience that can be used by as many people as possible should be considered according to the concept and principles of universal design. Second, the design of recreational facilities in suburban parks received good evaluations in terms of systemicity, attractiveness, and accessibility, but safety and comfort factors were insufficient, so further research and improvement on recreational facilities are needed according to specific circumstances. Third, the principles of universal design of recreational facilities have certain scientific properties and validity as evaluation indicators, and can be utilized as evaluation criteria for recreational facilities in various public spaces in the city.

Resource Self-adaptive Allocation Method Based on Mixed Prediction Cloud Platform

Hong Qi,Honge Ren,Guanglei Zhang 보안공학연구지원센터 2015 International Journal of Database Theory and Appli Vol.8 No.3

There are some problems in the existing cloud platform resource allocation methods, such as low rates of resource utilization and the lack of accurate prediction of the trend changes of resources, etc. To solve these problems, MPRA(Mixed Prediction Based Resource Allocation)was proposed. According to the periodic and non-periodic characteristics of service resources demand, MPRA first adopts FFT(Fast Fourier Transform) to judge the periodic characteristics. For resource allocation without periodic characteristics, it uses Markov process to predict, and obtains the higher resource utilization and prediction accuracy, thus, to ensure the user experience. The experimental results show that MPRA can accurately predict the change trend of service resource requirements, and then can allocate the virtual machine resources self-adaptively according to the prediction results. Obviously, it has improved the virtual machine resources utilization, reduced the occupation number of physical machines and effectively reduced the violation times in SLA (Service-level Agreement).

Resource Allocation Strategy of Internet of Vehicles Using Reinforcement Learning

Hongqi Xi,Huijuan Sun 한국정보처리학회 2022 Journal of information processing systems Vol.18 No.3

An efficient and reasonable resource allocation strategy can greatly improve the service quality of Internet ofVehicles (IoV). However, most of the current allocation methods have overestimation problem, and it isdifficult to provide high-performance IoV network services. To solve this problem, this paper proposes anetwork resource allocation strategy based on deep learning network model DDQN. Firstly, the methodimplements the refined modeling of IoV model, including communication model, user layer computing model,edge layer offloading model, mobile model, etc., similar to the actual complex IoV application scenario. Then,the DDQN network model is used to calculate and solve the mathematical model of resource allocation. Bydecoupling the selection of target Q value action and the calculation of target Q value, the phenomenon ofoverestimation is avoided. It can provide higher-quality network services and ensure superior computing andprocessing performance in actual complex scenarios. Finally, simulation results show that the proposed methodcan maintain the network delay within 65 ms and show excellent network performance in high concurrencyand complex scenes with task data volume of 500 kbits.

Fatigue life prediction for tower cranes under moving load

Hongqi Jiang,Xiao Jiang 대한기계학회 2023 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.37 No.12

For the tower crane, the luffing trolley and cargoes are equivalent to concentrated force. This study established a moving load model. The transient dynamic analysis method was used to carry out dynamic simulation, analyze and obtain the vibration characteristics of the boom under luffing and lifting, and calculate the fatigue life of the key components of the boom based on the S-N curve. The analysis results showed that the greater the luffing speed, the greater the arm end vibration amplitude. The lifting speed has influence on the amplitude and frequency of vibration. Under the worst working conditions, the minimum service life of the top chord 638 of the most dangerous component was 17.96 years, which can meet the requirements of the safety regulations for tower cranes. At the same time, the damage degree of the dangerous component during luffing was greater than that during lifting.

Soil Salinity Variability and its Driving Factors at Multiple Spatio-Temporal Scales in the Oasis Of Xinjiang, China

Wentai Zhang,Hongqi Wu,Haibin Gu,Ze Wang,Jiandong Sheng 한국토양비료학회 2014 한국토양비료학회 학술발표회 초록집 Vol.2014 No.6

Novel Passive Snubber Suitable for Three-Phase Single-Stage PFC Based on an Isolated Full-Bridge Boost Topology

Tao Meng,Hongqi Ben,Daqing Wang,Jianfeng Song 전력전자학회 2011 JOURNAL OF POWER ELECTRONICS Vol.11 No.3

In this paper a novel passive snubber is proposed, which can suppress the voltage spike across the bridge leg of the isolated full-bridge boost topology. The snubber is composed of capacitors, inductors and diodes. Two capacitors connected in series are used to absorb the voltage spike and the energy of each capacitor can be transferred to the load during one switching cycle by the resonance of the inductors and capacitors. The operational principle of the passive snubber is analyzed in detail based on a three-phase power factor correction (PFC) converter, and the design considerations of both the converter and the snubber are given. Finally, a 3kW laboratory-made prototype is built. The experimental results verify the theoretical analysis and evaluations. They also prove the validity and feasibility of the proposed methods.

Investigation and Implementation of a Passive Snubber with a Coupled-Inductor in a Single-Stage Full-Bridge Boost PFC Converter

Tao Meng,Hongqi Ben,Chunyan Li,Guo Wei 전력전자학회 2013 JOURNAL OF POWER ELECTRONICS Vol.13 No.2

In this paper, an improved passive snubber is investigated in a single-phase single-stage full-bridge boost power factor correction(PFC) converter, by which the voltage spike across primary side of the power transformer can be suppressed and the absorbed energy can be transferred to the output side. When compared with the basic passive snubber, the two single-inductors are replaced by a coupled-inductor in the improved snubber. As a result, synchronous resonances in the snubber can be achieved, which can avoid the unbalance of the voltage and current in the snubber. The operational principle of the improved passive snubber is analyzed in detail based on a single-phase PFC converter, and the design considerations of both the snubber and the coupled-inductor are given. Finally, a laboratory-made prototype is built, and the experimental results verify the feasibility of the proposed method and the validity of the theoretical analysis and design method.

Application of hierarchical symbolic fuzzy entropy and sparse Bayesian ELM to bearing fault diagnosis

Liying Yuan,Hongqi Wang 대한기계학회 2023 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.37 No.5

Bearing fault diagnosis is essential for reducing equipment operating and maintenance costs. We propose a bearing fault diagnosis method that combines hierarchical symbolic fuzzy entropy (HSFE) and sparse Bayesian extreme learning machine (SBELM). Multiscale symbolic fuzzy entropy (MSFE) is a recently proposed fault diagnosis method. Compared with multiscale sample entropy (MSE), multiscale permutation entropy (MPE), and multiscale fuzzy entropy (MFE), MSFE has high noise resistance and computational efficiency. The multiscale analysis method using the average operator can only extract information in the low frequency component, but cannot use the feature information in the high frequency component. Aiming at this defect, symbolic fuzzy entropy is formed by combining the hierarchical decomposition with the symbolic fuzzy entropy. Hierarchical decomposition uses average and difference operators to decompose the sequence, which can extract the fault information of highfrequency and low-frequency components at the same time. Then, the extracted fault information is efficiently identified and classified using the SBELM. The effectiveness and superiority of the HSFE method are verified by simulation signals and experimental vibration signals. At the same time, experimental comparisons were carried out using MPE, HPE, MSE, HSE, MSFE and HSFE. The experimental results indicate that the HSFE method has the best effect on the identification of rotating machinery fault types.

Input-Series Multiple-Output Auxiliary Power Supply Scheme Based on Transformer-Integration for High-Input-Voltage Applications

Tao Meng,Hongqi Ben,Guo Wei 전력전자학회 2012 JOURNAL OF POWER ELECTRONICS Vol.12 No.3

In this paper, an input-series auxiliary power supply scheme is proposed, which is suitable for high input voltage and multiple-output applications. The power supply scheme is based on a two-transistor forward topology, all of the series modules have a common duty ratio, all the switches are turned on and off simultaneously, and the whole circuit has a single power transformer. It does not require an additional controller but still achieves efficient input voltage sharing (IVS) for each series module through its inherent transformer-integration strategy. The IVS process of this power supply scheme is analyzed in detail and the design considerations for the related parameters are given. Finally, a 100W multiple-output auxiliary power supply prototype is built, and the experimental results verify the feasibility of the proposed scheme and the validity of the theoretical analysis.

An optimal method for improving volumetric error compensation in machine tools based on squareness error identification

Xuemin Zhong,Hongqi Liu,Xinyong Mao,Bin Li 한국정밀공학회 2019 International Journal of Precision Engineering and Vol.20 No.10

This paper proposes a new method to identify the squareness errors of machine tools and gives an optimal method to improve the volumetric compensation accuracy based on the identified squareness errors. The volumetric error model based on screw theory is proposed and the effects of the squareness errors on the volumetric errors have been analyzed to clarify the possibility of improving volumetric error compensation by proper and accurate squareness errors. Then the identification method of the squareness errors is deduced in theory considering a 3-axis horizontal machine tool. With the identified squareness errors, an optimal method to improve volumetric error compensation in machine tools has been proposed. Experiments have verified that the 3 identified squareness errors are in accordance with the measured squareness errors within the accuracy range. Moreover, compared with the traditional measurement of squareness errors not considering the PDGEs, the proposed method is more effective and shows error compensation improvement in the volumetric error compensation process.