Virtual approach to holonic control of the tyre-manufacturing system

Tyre manufacturers aiming to remain competitive in complex modern markets must promptly adjust to the changes within the production environment. With traditional tyre-manufacturing systems, a slow response during optimization of the manufacturing process and low-level adaptability to system disturbances is evident. The presented approach to virtual holonic control of the tyre-manufacturing system enables dynamic response in the event of new optimization demands, decrease of the impact of disturbances on system productivity and smaller future investments in the manufacturing equipment.     

浅谈建筑施工中保护周边环境对策

建筑工程是城市的化妆师,是为人们生活的服务。可是,在建筑部门施工过程中,往往会产生许多垃圾或污染,使建筑工程周边的环境受到影响,导致这些问题的原因有许多种。本文分析了建筑工程施工对其周边环境的影响及相应的解决对策。     

河道生态基流计算方法回顾与评估框架研究

回顾了国内外河道生态基流计算方法的发展历程并对比分析其异同,同时提出了国内河道生态基流的研究不足。开展了国内外河道生态基流计算方法的分类对比研究,讨论了不同类型计算方法的优缺点与适用条件,为不同计算方法的应用提供了依据。最后,构建了河道生态基流评估框架,分析了生态基流评估计算时的影响因素,提出了评估框架构建原则。通过构建生态基流决策支持系统提出了河道生态基流评估框架的分析流程。研究成果可为不同区域生态基流的确定提供技术支撑。     

居住区声环境调研分析--以上海市铁岭路28弄馨怡花园为例

噪声作为一种环境污染，与人们的日常生活质量息息相关。然而越来越多的噪声源，也带来了愈加严重的噪声问题。本文以居住区声音环境为出发点，结合实际调研，剖析出了住区内的噪声问题。并从建筑科学技术的角度，提出了一定的可行措施。     

复合硅酸盐水泥的生命周期评价

我国的水泥行业面临严峻地挑战，为了更好地满足社会物质发展所需的同时，更应当注重生态环境。因此，水泥生命周期的评价便应运而生。本文以此为出发点，对符合硅酸盐水泥的生命周期评价做了初步探析。     

Hierarchical Particle Swarm Optimization with Ortho-Cyclic Circles

Cloud computing is an emerging technology which deals with real world problems that changes dynamically. The users of dynamically changing applications in cloud demand for rapid and efficient service at any instance of time. To deal with this paper proposes a new modified Particle Swarm Optimization (PSO) algorithm that work efficiently in dynamic environments. The proposed Hierarchical Particle Swarm Optimization with Ortho Cyclic Circles (HPSO-OCC) receives the request in cloud from various resources, employs multiple swarm interaction and implements cyclic and orthogonal properties in a hierarchical manner to provide the near optimal solution. HPSO-OCC is tested and analysed in both static and dynamic environments using seven benchmark optimization functions. The proposed algorithm gives the best solution and outperforms in terms of accuracy and convergence speed when compared with the performance of existing PSO algorithms in dynamic scenarios. As a case study, HPSO-OCC is implemented in remote health monitoring application for optimal service scheduling in cloud. The near optimal solution from HPSO-OCC and Dynamic Round Robin Scheduling algorithm is implemented to schedule the services in healthcare.     

The reduced lighting environment impacts gait characteristics during walking

ObjectivesThis study aimed to investigate how different light intensities affect human gait patterns during walking. Humans rely on visual information from the surroundings to mediate foot placement and maintain balance during walking. The reduction of light, which diminishes visual input, is recognized as a contributing factor in the incidence of falling; however, such impact on gait characteristics has not been identified yet at different constrained levels of light intensities.MethodsTwelve healthy adults were instructed to walk at their self-selected pace on a treadmill either in high or low lighting conditions. The light intensity during treadmill walking was reduced using a pair of goggles attached to different layers of window films. Three-dimensional spatiotemporal gait data were collected using a motion capture system.ResultsThe significantly decreased stride length, stride time, double support time, and the significantly increased gait variability of stride length and stance time, were presented in the reduced lighting condition.ConclusionsOverall, this study indicates that the lighting intensity impacts gait adjustments during walking. Underground workers navigating in a dim and constrained environment could alter their walking patterns that relate to falling accidents.Relevance to industrySlips, trips and falls are common accidents occurred in underground workers which correlate to the insufficient lighting condition. This study investigated the impact of different lighting conditions on gait adjustment which contributes to the safety of workers situating in a reduced lighting environment.     

A neuro-fuzzy warning system for combating cybersickness in the elderly caused by the virtual environment on a TFT-LCD

Only a few studies in the literature have focused on the effects of age on virtual environment (VE) sickness susceptibility and even less research was carried out focusing on the elderly. In general, the elderly usually browse VEs on a thin film transistor liquid crystal display (TFT-LCD) at home or somewhere, not a head-mounted display (HMD). While the TFT-LCD is used to present VEs, this set-up does not physically enclose the user. Therefore, this study investigated the factors that contribute to cybersickness among the elderly when immersed into a VE on TFT-LCD, including exposure durations, navigation rotating speeds and angle of inclination. Participants were elderly, with an average age of 69.5 years. The results of the first experiment showed that the rate of simulator sickness questionnaire (SSQ) scores increases significantly with navigational rotating speed and duration of exposure. However, the experimental data also showed that the rate of SSQ scores does not increase with the increase in angle of inclination. In applying these findings, the neuro-fuzzy technology was used to develop a neuro-fuzzy cybersickness-warning system integrating fuzzy logic reasoning and neural network learning. The contributing factors were navigational rotating speed and duration of exposure. The results of the second experiment showed that the proposed system can efficiently determine the level of cybersickness based on the associated subjective sickness estimates and combat cybersickness due to long exposure to a VE.     

A novel clipping technique for filtering FM signals embedded in intensive noise

A novel adaptive clipping technique for filtering a constant amplitude frequency modulated (FM) signal embedded in non-Gaussian noise is proposed. It is based on the analysis and processing of the estimate of probability density function of a FM signal realization. As a result, modifications of two robust estimators of FM signal amplitude are proposed. It is shown that these estimators can be used for Gaussian and non-Gaussian heavy-tail environments. The proposed clipping technique can exploit one or another obtained robust estimate of the signal amplitude for adaptive setting a threshold. Analysis of signal estimate accuracy for different noise environments is carried out. Comparative analysis of the obtained methods and known approaches based on scanning window nonlinear filtering and optimal robust L-DFT form is performed. It is demonstrated that the usage of clipping-based technique leads to the considerable improvement of the FM signal filtering efficiency in comparison to the aforementioned known approaches for different noise environments and a wide range of input SNR values.     

美国洁净煤技术发展现状

美国洁净煤技术计划的38个商业性示范项目涉及环境控制技术、先进发电系统、煤炭洁净燃料和工业应用等4个领域，总投资约为52.52亿美元，其中对先进发电系统的投资约占55.2%。另外，美国还准备将洁净煤技术推向国际市场，从而强化美国企业的国际竞争力。