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61.
《Displays》2023
A proper hand shape is the foundation for professional musical instrument performance. In this paper, the image recognition technology based on artificial intelligence is introduced into the hand shape recognition of performing Chinese zither, which is referred to as Zheng in Chinese, for the first time to realize the function of hand shape intelligent evaluation and the self-designed hierarchical network is proposed to recognize and evaluate correct hand shape for Zheng performing. The intra-class difference is larger than the inter-class difference for Zheng performing hand shape image, which belongs to fine-grained image. Therefore, we use the first layer network to determine four classes of images acquired from different viewpoints. Meanwhile, the feature maps from different convolutional blocks of this layer are concatenated as the input of the second layer, which performs fine classification of Zheng performing hand shape images. Consequently, the learning ability of the network can be improved and the complexity of the network can be reduced at the same time. We design an experimental paradigm for instrumentalist hand shape performance evaluation, formulate a Zheng hand shape evaluation merit based on image recognition, and construct a Chinese zither hand shape Dataset (CZ-dataset V3) for the real scene. The experiments show that the method proposed in this paper can effectively improve the recognition accuracy of fine-grained hand shape images and the result is consistent with the evaluation of professional advisors, which realizes the perfect combination of the intelligent image recognition and the hand shape evaluation for Chinese traditional instrument performing. 相似文献
62.
《工程（英文）》2021,7(9):1313-1325
The rapid advance of autonomous vehicles (AVs) has motivated new perspectives and potential challenges for existing modes of transportation. Currently, driving assistance systems of Level 3 and below have been widely produced, and several applications of Level 4 systems to specific situations have also been gradually developed. By improving the automation level and vehicle intelligence, these systems can be further advanced towards fully autonomous driving. However, general development concepts for Level 5 AVs remain unclear, and the existing methods employed in the development processes of Levels 0–4 have been mainly based on task-driven function development related to specific scenarios. Therefore, it is difficult to identify the problems encountered by high-level AVs. The essential logical and physical mechanisms of vehicles have hindered further progression towards Level 5 systems. By exploring the physical mechanisms behind high-level autonomous driving systems and analyzing the essence of driving, we put forward a coordinated and balanced framework based on the brain–cerebellum–organ concept through reasoning and deduction. Based on a mixed mode relying on the crow inference and parrot imitation approach, we explore the research paradigm of autonomous learning and prior knowledge to realize the characteristics of self-learning, self-adaptation, and self-transcendence for AVs. From a systematic, unified, and balanced point of view and based on least action principles and unified safety field concepts, we aim to provide a novel research concept and develop an effective approach for the research and development of high-level AVs, specifically at Level 5. 相似文献
63.
ABSTRACTAutomated detection and recognition of faces have been implemented in a broad range of media environments. Following that development, what concerns us in this article is the analysis of emotions from facial expressions using computer-based systems, in relation to which we critically investigate the use of theories of basic emotions. We explore in depth the company Affectiva’s attempts to translate, represent and schematize human emotions, as they raise a variety of problems and issues of uncertainty. We analyse the uncertainties concerning the processing of the human face ‘as image’ due to issues concerning temporality and static images as well as polyphony and modulations of the spectrum of expressions. One of our key arguments concerns the temporal character of human emotions, and we address how algorithmically regulated protocols of discretization may be said to prompt specific patterns of emotional responses and expressions based on an ideal of eliminating uncertainty. Through discussions via art pieces by Lauren McCarthy and Kyle McDonald, we question what happens when the protocols of computer systems start to perform aspects of emotional labour for us, making judgments by predicting adequate emotional responses based on the use of the strict metrics criticized in the article. 相似文献
64.
The operational environment can be a valuable source of information about the behavior of software applications and their usage context. Although a single instance of an application has limited evidence of the range of the possible behaviors and situations that might be experienced in the field, the collective knowledge composed by the evidence gathered by the many instances of a same application running in several diverse user environments (eg, a browser) might be an invaluable source of information. This information can be exploited by applications able to autonomously analyze how they behave in the field and adjust their behavior accordingly. Augmenting applications with the capability to collaborate and directly share information about their behavior is challenging because it requires the definition of a fully decentralized and dependable networked infrastructure whose nodes are the user machines. The nodes of the infrastructure must be collaborative, to share information, and autonomous, to exploit the available information to change their behavior, for instance, to better accommodate the needs of the users to prevent known problems. This paper describes the initial results that we obtained with the design and the development of an infrastructure that can enable the execution of collaborative scenarios in a fully decentralized way. Our idea is to combine the agent-based paradigm, which is well suited to design collaborative and autonomous nodes, and the peer-to-peer paradigm, which is well suited to design distributed and dynamic network infrastructures. To demonstrate our idea, we augmented the popular JADE agent-based platform with a software layer that supports both the creation of a fully decentralized peer-to-peer network of JADE platforms and the execution of services within that network, thus enabling JADE multiagent systems (MASs) to behave as peer-to-peer networks. The resulting platform can be used to study the design of collaborative applications running in the field. 相似文献
65.
Efficient management of big data becomes challenging in recent decades. Online Feature Selection (OFS) is one type of online learning in contrast to batch learning, allowing a classifier to have small and fixed number of features. The major aim of this work is to introduce an OFS algorithm supported on meta‐heuristic algorithm that exploits the MapReduce paradigm. A novel Hybrid Multi‐Objective Firefly and Simulated Annealing (HMOFSA) algorithm is proposed to select optimal set of features. Therefore, as a first step, the original big dataset is decomposed into blocks of examples in the map phase. Subsequently, HMOFSA algorithm is employed to choose the selected features from examples. After that, the attained partial outcomes will be combined into a final vector of features in the reduce phase and evaluated using Kernel Support Vector Machine (KSVM) classifier. The mentioned OFS approach is analyzed with the help of the well‐known classifiers (Logistic Regression, KSVM and Naïve Bayes) developed within the Spark framework. Experiments were conducted on big datasets, containing 66 million samples and 2000 attributes that confirm the proficiency of proposed work. The proposed KSVM classifier results are measured in terms of the metrics like Precision, Recall, Geometric‐mean (G‐mean), F‐measure, and accuracy. 相似文献
66.
针对西部制造业的发展,从分析e时代下制造环境的变化入手,论述了电子商务对于制造业的影响,并在此基础上探讨了西部制造业电子商务的应用模式。 相似文献
67.
对新时代背景下中国城市化研究的方法论思考 总被引：8，自引：1，他引：8
从中国城市化研究与当前我国城市化面临的挑战之间的非相关性出发 ,对其中蕴含的方法论根源作了思考 ,认为传统范式的存在制约了领域的研究进展。作者分析提出 ,范式是一个学术领域中的体制性存在 ,并从基本原理、‘现象’范畴、‘经验归纳’方法论三个方面对中国城市化研究的传统范式作了剖析 ,其中对城市化概念的结构性定义对于揭示后两者具有关键作用。进而 ,从国外和国内城市化研究的历史发展和传统‘背景’的方法论特征解释了传统范式形成和存在的历史、现实、理论基础 ,及因此在新的时代背景下不再有效的必然。在此基础上 ,作者对范式转换中可能存在的方法论‘陷阱’作了分析 ,最终指出 ,基于真正的因果关系的‘双向’演绎、对现实问题的切实关注、以及问题导向的范畴‘重组’应是中国城市化研究整体方法论的改进方向 相似文献
68.
本文根据浙江省社会科学界联合会的年度课题“中国当代城市建设和美化运动中典型案的美学分析”的部分内容简写而成。论文首先提出了一个关于城市环境的美学分析框架。这个框架由城市环境的审美判断、审美决定和审美影响三个循环过程构成,是进行环境美学分析一种新的方法。利用此分析方法对中国多个城市的七大案例类型的91个案例进行分析（篇幅过长作了省略）并将成果进行了梳理。文中试图从三个层面拼凑出当代中国城市环境美学发展的整体现实图景,这三个层面包括：审美表现和审美趋向、审美决定和审美影响力构图以及审美流行和审美范式。 相似文献
69.
Dennis Shelden 《Architectural Design》2009,79(2):80-83
Building information modelling (BIM) is not just a change in software or skills sets, it requires a paradigm shift. Dennis Shelden , Chief Technology Officer of Gehry Technologies, outlines the more ‘fundamental, subtle and profound decisions’ on the road to BIM. It is necessary to fully consider not only the impacts both ‘upstream’ and ‘downstream’ from the conventional design phase, but also the possible creative restrictions as there is a potential trade-off that comes with the emphasis on collaborative processes. Copyright © 2009 John Wiley & Sons, Ltd. 相似文献
70.
在城市研究和规划实践中,发现现实世界充满不确定性,城市规划面临越来越多不确定性的考验.传统确定性思维指导下的城市规划,存在着研究范畴不对等、知识容量不对等和时间上交错三方面的缺陷,影响了规划的理性.情景规划以其合理的描述、广泛的参与、持续的监测更新很好地解决了上述问题,成为规划领域应对重大不确定性问题的主要方法.本文从理论与实践两个层面,对比分析了传统的确定性方法主导下的城市规划与情景规划主导下的城市规划的异同:首先在认识论、基本原理和工作方法上存在明显差别;其次在城市规划编制实践中,存在单因素分析与多驱动力分析、单方案预测与多情景描述、主观判断与客观规律发掘、一站式规划与过程式规划、近期建设 相似文献