138 research outputs found
A high precision virtual restoration method for stone setting exemplified by Lingfeng Stone
With advancements in technology, virtual restoration of garden heritage has gained significant attention, yet the restoration of stone settings remains underexplored. Stone setting, small and naturally flexible, are vital elements in Chinese classical gardens. This paper introduces a comprehensive method for their virtual restoration, encompassing evidence verification, data acquisition, model creation, evaluation, and utilization of results. The approach aims to achieve high precision restoration of complex stone settings using 3D digital technology. Applied to the Lingfeng stone in Wenyuan Pavilion of Yuanmingyuan, the method involves 3D digitization for existing parts and photo perspective reversion, grid positioning, and informed speculation for missing sections. The accuracy of model is scientifically assessed, and the restoration results are effectively utilized. This case study confirms the efficacy of method in high precision virtual restoration, supporting the preservation and promotion of stone elements in classical gardens and enhancing the dissemination of garden heritage restoration achievements
Wen yi sui bi
Chapter 第一輯幾本古典名著關於'伊索寓言' ---p.3褒頓與'天方夜譚' ---p.13'十日談','七日談'和'五日談' ---p.20喬叟的'坎特伯雷故事集' ---p.30Chapter 第二輯作家與作品巴爾札克和他的'人間喜劇' ---p.35左拉和他的'盧貢馬加爾家傳' ---p.40史諦芬遜和他的'金銀島' ---p.44霍桑和動人的'紅字'故事 ---p.49莫泊桑的短篇傑作 ---p.53可愛的童話作家安徒生 ---p.58蘇格蘭農民詩人彭斯 ---p.64詩人小說家愛倫坡 ---p.70Chapter 第三輯讀書偶記巴爾札克的'詼諧故事集' ---p.77拉封歹的寓言 ---p.79喬治吉辛和他的散文集 ---p.82淮德的'塞爾彭自然史' ---p.85品托的'遠東旅行記' ---p.88'猴爪'和三個願望的故事 ---p.91意大利的'笑林廣記' ---p.96紀德關於王爾德的回憶 ---p.101'贗幣犯'和'贗幣犯日記' ---p.104潘的性格和故事 ---p.107歌德和席勒的友情 ---p.109艾克曼的'歌德談話錄' ---p.114達爾文和赫胥黎 ---p.117托爾斯泰夫妻失和的內幕 ---p.122Chapter 第四輯幾本書的故事迦撒諾伐和他的'回憶錄' ---p.127王爾德'獄中記'的全文 ---p.131'循環舞'的風波 ---p.137小仲馬和他的'茶花女' ---p.145'茶花女'和茶花女型的故事 ---p.150比亞斯萊,王爾德與'黃面誌' ---p.156'魯濱遜飄流記'的作者 ---p.163'查泰萊夫人之情人'的遭遇 ---p.166'查泰萊夫人之情人'解禁經過 ---p.175後記 ---p.183葉靈鳳著Copy 4 printed in 1979.Ye Lingfeng zh
Large Scale Integration of Electric Vehicles into the Power Grid and Its Potential Effects on Power System Reliability
In this thesis, the potential effects of large scale integration of electric vehicles into the power grid are discussed in both the beneficial and detrimental aspects. The literature review gives a comprehensive introduction about the existing smart charging algorithms. According to the system structure and market mechanism, the smart charging algorithms can be divided into centralized and distributed method. With the knowledge of driving patterns and charging characteristics of electric vehicles, both the centralized and decentralized smart charging algorithms are studied in this research. Based on the smart charging pricing and sequential price update mechanism, a multi-agent based distributed smart charging algorithm is used in this research to flatten the load curve and therefore mitigate the potential detrimental effects caused by uncoordinated charging. Each EV agent has some extent of intelligence to solve its own charging scheduling problem. The optimization method used in this research is the binary hybrid GSA-PSO algorithm, which combines the merits of particle swarm optimization (PSO) and gravitational search algorithm (GSA), and has very good exploration and exploitation abilities. A V2G enabled centralized smart charging algorithm is also introduced in this thesis, each EV can earn revenues by discharging power into the grid. The dominant search matrix is used to resolve the ''curse of dimensionality'' problem existing in the centralized optimization problems. Numerical case studies show both the distributed and V2G enabled smart charging algorithms can effectively transfer the charging load from the peak load period to the load valley hours. Because of the limited integration ratio of electric vehicles, most power system reliability methods do not evaluate the charging load of EVs separately in their analytical procedures. However, with a fast increasing integration level, the potential effects of large scale integration of EVs on the power system reliability should be comprehensively evaluated. The effects of EV charging on power system reliability in the planning phase is analyzed in this research based on the RBTS. The results show the uncontrolled charging will deteriorate the reliability level while the smart charging can effectively decrease the detrimental effect. The potential application of aggregated EV providing operating reserve to the grid as a kind of ancillary service is also discussed, and the related effects on power system reliability in operating phase are calculated using the modified PJM method. The case study shows the unit commitment risk of the system can decrease to a very low level with the additional operating reserve capacity provided by aggregated EVs, which can not only improve the system's reliability level but also save the cost.2018-06-0
Probabilistic Reliability Analysis of Electric Power Systems with Smart Grid Technologies and Water Distribution Networks: Modeling, Assessment, and Comparison
With the rapid growth of population, the modern human society is becoming more and more dependent on the proper operation of critical infrastructures - the interconnected electrical power system, the drinking water distribution and supply system, the natural gas transmission and distribution system, and so forth. It has become an important issue to maintain reliable functions of these critical systems. As a result, comprehensive reliability evaluation is highly needed to quantify their reliability in an objective manner. Conventionally, deterministic criteria were used in reliability evaluations. However, it lacked the ability to model and quantify the stochastic nature of system behaviors such as component failures. In light of these facts, this thesis deploys probabilistic methodologies for conducting quantitative reliability modeling and assessment for nation’s critical infrastructures including electrical power networks incorporating smart grid technologies and water distribution networks. Power system operators are faced with the increasingly complicated operating conditions in bulk power systems. Yet due to the huge investment needed to build new power delivery facilities, cost-effective solutions such as new operational strategies are becoming more attractive and viable in recent years. Optimal transmission switching (OTS) and dynamic thermal rating (DTR) are two such technologies which offer a potential solution to improving the power system reliability by more fully utilizing the existing power delivery assets. In this thesis, these two technologies are first discussed, which are then incorporated into the power system reliability evaluation procedure. Case studies are conducted on modified RTS-79 and RTS-96 systems using MATLAB and IBM CPLEX. The obtained simulation results have shown that with the enforcement of either OTS or DTR technology, the overall system reliability can be improved, and system reliability can be further improved if both technologies are enforced. The growing urban population has brought great stress to the aging drinking water distribution systems. It is becoming more challenging to maintain a reliable drinking water distribution system so as to meet the growing water demand. Thus, a comprehensive reliability evaluation of the aging water delivery infrastructure is of critical importance to enable informed decision-making in asset management of the potable water sector. This thesis also proposes a probabilistic reliability evaluation methodology for water distribution systems based on Monte Carlo simulation (MCS) that takes into account both mechanical failures and hydraulic failures. Additionally, a C++ based software tool is developed to implement the proposed method. Case studies based on two representative water distribution systems are performed to demonstrate the effectiveness of the proposed method. A comparison is made between the reliability analysis of electrical power systems and that of water distribution systems. As interconnected capacitated networks, both systems share similarities in certain aspects such as component modeling and adequacy constraints. However, the specific features of the target systems should also be taken into consideration in the reliability modeling and evaluation in order to obtain a more comprehensive and accurate estimation of the actual system reliability.2017-08-3
Integrated Special Event Traffic Management Strategies in Urban Transportation Network
How to effectively optimize and control spreading traffic in urban network during the special event has emerged as one of the critical issues faced by many transportation professionals in the past several decades due to the surging demand and the often limited network capacity. The contribution of this dissertation is to develop a set of integrated mathematical programming models for unconventional traffic management of special events in urban transportation network. Traffic management strategies such as lane reorganization and reversal, turning restriction, lane-based signal timing, ramp closure, and uninterrupted flow intersection will be coordinated and concurrently optimized for best overall system performance. Considering the complexity of the proposed formulations and the concerns of computing efficiency, this study has also developed efficient solution heuristics that can yield sufficiently reliable solutions for real-world application. Case studies and extensive numerical analyses results validate the effectiveness and applicability of the proposed models.2018-06-0
Reliability Evaluation and Defense Strategy Development for Cyber-physical Power Systems
With the smart grid initiatives in recent years, the electric power grid is rapidly evolving into a complicated and interconnected cyber-physical system. Unfortunately, the wide deployment of cutting-edge communication, control and computer technologies in the power system, as well as the increasing terrorism activities, make the power system at great risk of attacks from both cyber and physical domains. It is pressing and meaningful to investigate the plausible attack scenarios and develop efficient methods for defending the power system against them. To defend the power grid, it is critical to first study how the attacks could happen and affect the power system, which are the basis for the defense strategy development. Thus, this dissertation quantifies the influence of several typical attacks on power system reliability. Specifically, three representative attack are considered, i.e., intrusion against substations, regional LR attack, and coordinated attacks. For the intrusion against substations, the occurrence frequency of the attack events is modeled based on statistical data and human dynamics; game-theoretical approaches are adopted to model induvial and consecutive attack cases; Monte Carlo simulation is deployed to obtain the desired reliability indices, which incorporates both the attacks and the random failures. For the false data injection attack, a practical regional load redistribution (LR) attack strategy is proposed; the man-in-the-middle (MITM) intrusion process is modeled with a semi-Markov process method; the reliability indices are obtained based on the regional LR attack strategy and the MITM intrusion process using Monte Carlo simulation. For the coordinated attacks, a few typical coordination strategies are proposed considering attacking the current-carrying elements as well as attacking the measurements; a bilevel optimization method is applied to develop the optimal coordination strategy. Further, efficient and effective defense strategies are proposed from the perspectives of power system operation strategy and identification of critical elements. Specially, a robustness-oriented power grid operation strategy is proposed considering the element random failures and the risk of man-made attacks. Using this operation strategy, the power system operation is robust, and can minimize the load loss in case of malicious man-made attacks. Also, a multiple-attack-scenario (MAS) defender-attack-defender model is proposed to identify the critical branches that should be defended when an attack is anticipated but the defender has uncertainty about the capability of the attacker. If those identified critical branches are protected, the expected load loss will be minimal.2019-01-0
Multi-Dimensional Assessment of Transit System Efficiency and Incentive-based Subsidy Allocation
Over the past several decades, contending with traffic congestion and air pollution has emerged as one of the imperative issues across the world. Development of a transit-oriented urban transport system has been realized by an increasing number of countries and administrations as one of the most effective strategies for mitigating congestion and pollution problems. Despite the rapid development of public transportation system, doubts regarding the efficiency of the system and financing sustainability have arisen. Significant amount of public resources have been invested into public transport; however complaints about low service quality and unreliable transit system performance have increasingly arisen from all walks of life. Evaluating transit operational efficiency from various levels and designing incentive-based mechanisms to allocate limited subsidies/resources have become one of the most imperative challenges faced by responsible authorities to sustain the public transport system development and improve its performance and levels of service. After a comprehensive review of existing literature, this dissertation aims to develop a multi-dimensional framework composed of a series of robust multi-criteria evaluation models to assess the operational and financial performance of transit systems at various levels of application (i.e. region/city level, operator level, and route level). It further contributes to bridging the gap between transit efficiency evaluation and the subsequent subsidy allocation by developing a set of incentive-based resource allocation models taking various levels of operational and financial efficiencies into consideration. Case studies using real-world transit data will be performed to validate the performance and applicability of the proposed models
Corrigendum to 'A phosphorus/silicon-based, hyperbranched polymer for high-performance, fire-safe, transparent epoxy resins' [Polymer Degradation and Stability, 203 (2022) 110065]
The authors regret that the affiliation of Prof. Zhitian Liu in current manuscript is incorrect. The affiliation of Prof. Zhitian Liu is not ‘Center for Future Materials, University of Southern Queensland, Toowoomba 4350, Australia’, and his affilication is ‘Hubei Engineering Technology Research Center of Optoelectronic and New Energy Materials, School of Materials Science & Engineering, Wuhan Institute of Technology, Wuhan 430205, PR China’. Hence, the author and affilication list should be as follows. Qiu Shia, Siqi Huob, Cheng Wanga, Guofeng Yea, Lingfeng Yua, Zhengping Fangb, Hao Wangc, Zhitian Liua a Hubei Engineering Technology Research Center of Optoelectronic and New Energy Materials, School of Materials Science & Engineering, Wuhan Institute of Technology, Wuhan 430205, PR China b Laboratory of Polymer Materials and Engineering, NingboTech University, Ningbo 315100, PR China c Center for Future Materials, University of Southern Queensland, Toowoomba 4350, Australia The authors would like to apologise for any inconvenience caused
RNA-sequencing of glyphosate-resistant and susceptible Echinochloa colona plants
<b>External Organisations</b><br/>Hunan Agricultural University; Zhejiang University<b>Associated Persons</b><br/>Lang Pan (Contributor); Lingfeng Mao (Creator); Longjiang Fan (Creator)This dataset presents RNA-sequencing results of glyphosate-resistant and susceptible Echinochloa colona plants. The transcriptome data was generated in a project identifying candidate genes for non-target-site resistance to glyphosate in a glyphosate-resistant (GR) E. colona population from Western Australia (the Tropical Ord River region) A GR and a susceptible (S) lines were obtained from within the single GR population by vegetative plant cloning plus glyphosate treatment. This dataset included raw RNA-Seq data of 3R and 3S samples (shoot material). RNA samples were sequenced using the Illumina HiSeq 2500 sequencing platform on PE150 reads
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