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Research on Foreign Tourists’ Perception of Tourism Image of Shaolin Temple on the Basis of Network Text Analysis 基于网络文本分析的外国游客对少林寺旅游形象感知研究
Pub Date : 2022-11-01 DOI: 10.7763/ijet.2022.v14.1204
Huijuan Lu
Tourism destination image of scenic spots has a direct influence on foreign tourists’ consuming choices while visiting China, therefore it is the foundation for effectively improving the tourism destination image as well. This article is based on the original network text of foreigners’ original comments on Shaolin Temple from the biggest travel website in the world – Tripadvisor; and it did the online text analysis with the analyzing tool of ROST CM from the perspective of Grounded Theory in Qualitative Study from the following aspects: word frequency, social semantic meaning, emotions and tourism image perception and puts forward corresponding measures for the improvement of Shaolin Temple’s international tourism image.
景区的旅游目的地形象直接影响到外国游客来华旅游的消费选择,是有效提升旅游目的地形象的基础。本文基于世界上最大的旅游网站——猫途鹰(Tripadvisor)上外国人对少林寺的原创评论的原始网络文本;运用ROST CM分析工具,从词频、社会语义、情感、旅游形象感知等方面对少林寺国际旅游形象进行分析,并提出相应的改善少林寺国际旅游形象的措施。
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引用次数: 1
Auxiliary Diagnosis Method of Chest Pain Based on Machine Learning 基于机器学习的胸痛辅助诊断方法
Pub Date : 2022-11-01 DOI: 10.7763/ijet.2022.v14.1207
Wen Gao, Rong Yu, Zhaolei Yu, Zhuang Ma, M. Masum
Chest pain is sudden, its pathological causes are complex and various, fatal or non-fatal so that improving the diagnostic accuracy is extremely important in the emergency system of prehospital and hospitals. Therefore, we propose a method of introducing a decision tree, support vector machine, and KNN algorithm in machine learning into the auxiliary diagnosis of chest pain. First select the algorithm with better performance among decision tree, support vector machine, and KNN algorithm; Then compare the classification performance of the CART algorithm, the support vector machine using the Gaussian kernel function, and the K nearest neighbor algorithm using the Euclidean distance to select the best; Finally, through the analysis of the experimental results, the support vector machine algorithm with Gaussian kernel function is obtained. Its detection time and diagnosis accuracy rate are the best among the three algorithms, which can assist medical staff in the emergency system to carry out targeted chest pain diagnosis.
胸痛具有突发性,病理原因复杂多样,有致死性和非致死性,因此提高胸痛的诊断准确性在院前和医院急救系统中极为重要。因此,我们提出了一种将机器学习中的决策树、支持向量机和KNN算法引入胸痛辅助诊断的方法。首先在决策树、支持向量机和KNN算法中选择性能较好的算法;然后比较CART算法、支持向量机使用高斯核函数的分类性能,以及K近邻算法使用欧几里得距离的分类性能进行选择;最后,通过对实验结果的分析,得到了具有高斯核函数的支持向量机算法。其检测时间和诊断准确率是三种算法中最好的,可以辅助急救系统医护人员进行有针对性的胸痛诊断。
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引用次数: 0
Identifying Factors Contributing to the Level of Industry 4.0 Technologies Adoption among SMEs in Different Countries 确定影响不同国家中小企业工业4.0技术采用水平的因素
Pub Date : 2022-08-01 DOI: 10.7763/ijet.2022.v14.1200
Nurul Izzati Naqibah Zaidi, M. Nazmudeen, Fadzliwati Mohiddin
Industry Revolution (IR) 4.0 technologies are considered crucial in industries to gain competitive advantage and optimize their performance. This study aims to compare different levels of adoption of IR 4.0 technologies from various industries in developed and developing countries. The comparison of countries on IR 4.0 technologies adoption from basic to advanced levels are shown in this research paper using our unique simplistic approach. Also, we identify what are the contributing factors that affect the level of adoption of these technologies. It has been concluded that developed countries are slightly higher in adopting technologies compared to developing countries. Research conducted is qualitative and descriptive, using secondary data from eight different countries from developing and developed categories.
工业革命(IR) 4.0技术被认为是行业获得竞争优势和优化绩效的关键。本研究旨在比较发达国家和发展中国家不同行业采用工业4.0技术的不同水平。本研究报告采用了我们独特的简化方法,对各国采用工业4.0技术的情况进行了比较,从基本水平到先进水平。此外,我们还确定了影响这些技术采用水平的贡献因素。得出的结论是,发达国家在采用技术方面略高于发展中国家。所进行的研究是定性和描述性的,使用了来自八个不同国家的二手数据,包括发展中国家和发达国家。
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引用次数: 0
Research on Digital Archives Construction of Jingdezhen Ceramic Material Cultural Heritage Based on Blockchain Technology 基于区块链技术的景德镇陶瓷物质文化遗产数字档案建设研究
Pub Date : 2022-08-01 DOI: 10.7763/ijet.2022.v14.1201
Lisha Yang
With the rapid development of modern technology and information means, the society has entered a new stage of development. Under the background of the rapid development of digital technology, the ceramic material culture in Jingdezhen has also been seriously affected. In order to better realize the protection of Jingdezhen ceramic material culture, various modern means should be used to comprehensively protect the ceramic material and cultural heritage, Through the application of blockchain technology, more perfect digital archives can be constructed, which can be used as a basis to promote the smooth development of the protection of ceramic material cultural heritage. Therefore, the article first defines the basic overview of blockchain technology; Secondly, it makes an in-depth analysis of the current situation of the protection of Jingdezhen ceramic material culture; On this basis, the construction measures of Jingdezhen Ceramic Cultural Heritage Digital Archives Based on blockchain technology are put forward.
随着现代技术和信息手段的飞速发展,社会进入了一个新的发展阶段。在数字技术飞速发展的背景下,景德镇的陶瓷物质文化也受到了严重的影响。为了更好地实现景德镇陶瓷物质文化的保护,应运用多种现代手段,对陶瓷物质文化遗产进行全面保护,通过区块链技术的应用,构建更加完善的数字档案,以此为基础,促进陶瓷物质文化遗产保护工作的顺利开展。因此,本文首先界定了区块链技术的基本概况;其次,对景德镇陶瓷物质文化保护的现状进行了深入分析;在此基础上,提出了基于区块链技术的景德镇陶瓷文化遗产数字档案建设措施。
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引用次数: 0
Comparison of GUM and Monte Carlo Methods for the Measurement Uncertainty Circular Runout Error of Shafts 轴不确定度圆跳动误差测量的GUM和Monte Carlo方法比较
Pub Date : 2022-08-01 DOI: 10.7763/ijet.2022.v14.1199
Pornpawit Ounjutturaporn, R. Kesvarakul, Pipitanon Poonsawat, Khompee Limpadapun
Measurement uncertainty is one of the most important concepts. The ISO IEC 17025:2005 standard: describes harmonized policies and procedures for testing and calibration laboratories. Guide to the expression of uncertainty in measurement (GUM) is a direct uncertainty analysis method, which calculates the combined standard uncertainty and expanded uncertainty by law of propagation of uncertainty. Monte Carlo Method (MCM) as presented by the (GUM S1) involves the propagation of the distributions of the input sources of uncertainty by using a model to provide the distribution of the output. By random sampling, the probability density function of the input quantities. In this paper, present measurement uncertainty to circular runout error. By use shaft standard with a diameter of 32 mm., length 100 mm. From the experiment results, Comparison of GUM and MCM showed no differences. The cases the estimated uncertainty using the GUM approach slightly overestimated the results obtained with the MCM. However, the use of numerical methods such MCM as a valuable alternative to the GUM approach. The practical use of MCM it has proven to be a fundamental tool, being able to address more complex measurement problems that were limited by the GUM approximations.
测量不确定度是最重要的概念之一。ISO IEC 17025:2005标准:描述了测试和校准实验室的统一政策和程序。测量不确定度表达指南(GUM)是一种直接的不确定度分析方法,它根据不确定度的传播规律计算标准不确定度和扩展不确定度的组合。由(GUM S1)提出的蒙特卡罗方法(MCM)涉及通过使用模型来提供输出分布来传播输入不确定性源的分布。通过随机抽样,得到输入量的概率密度函数。本文将测量不确定度表示为圆跳动误差。按使用标准轴直径32毫米,长度100毫米。从实验结果来看,GUM和MCM的比较没有差异。在这些情况下,使用GUM方法估计的不确定性略高于MCM方法获得的结果。然而,使用数值方法如MCM作为GUM方法的一个有价值的替代方法。MCM的实际应用已被证明是一种基本工具,能够解决受GUM近似限制的更复杂的测量问题。
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引用次数: 0
Research on Application Status of 3S Technology in Wetland 3S技术在湿地中的应用现状研究
Pub Date : 2022-05-01 DOI: 10.7763/ijet.2022.v14.1196
Ping He, Zifei Mao, Y. Zou, X. Chen, Yuanxing Cai
This paper analyzes the research status of 3S technology in China's wetlands. The research of 3S technology in wetland landscape pattern and driving force analysis is increasing day by day. Most of the research uses 3S technology to calculate the landscape index, and reveals the change rule of wetland landscape pattern characteristics with natural and human factors from the type scale and landscape scale. The use of 3S technology for wetland information extraction and dynamic monitoring research is gradually increasing. In most studies, wetland information was extracted according to different classification criteria, and spatio-temporal characteristics of wetland were analyzed based on area change, spatial distribution and shape change. With the development, planning and protection of wetland resources, the advantages of 3S technology will become more prominent.
本文分析了3S技术在中国湿地的研究现状。3S技术在湿地景观格局及驱动力分析中的研究日益增多。研究多采用3S技术计算景观指数,从类型尺度和景观尺度揭示湿地景观格局特征随自然和人为因素的变化规律。3S技术在湿地信息提取和动态监测研究中的应用逐渐增多。大多数研究都是根据不同的分类标准提取湿地信息,并基于面积变化、空间分布和形态变化来分析湿地的时空特征。随着湿地资源的开发、规划和保护,3S技术的优势将更加突出。
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引用次数: 0
Research Progress of Remote Sensing Technology in Lake Water Environment Monitoring in China 中国湖泊水环境遥感监测技术研究进展
Pub Date : 2022-05-01 DOI: 10.7763/ijet.2022.v14.1195
Ping He, X. Chen, Yuanxing Cai, Yue Zhou, Yuanchun Chen
This paper analyzes the research progress of remote sensing technology in lake water environment monitoring in China in recent years, including the research progress of suspended matter concentration in water, the research progress of bloom characteristics and the research status of chlorophyll concentration A.Although great progress has been made in lake water environment monitoring, the use of remote sensing to capture the spectral characteristics of water remains to be strengthened. It is necessary to improve the lake remote sensing algorithm for long time series and large range.
本文分析了近年来遥感技术在中国湖泊水环境监测中的研究进展,包括水体悬浮物浓度的研究进展、水华特征的研究进展和叶绿素浓度a的研究现状。虽然湖泊水环境监测取得了很大进展,但利用遥感技术捕捉水体光谱特征的研究仍有待加强。对于长时间序列、大范围的湖泊遥感算法,有必要进行改进。
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引用次数: 1
Development of Spare-Parts Process Chain in Oil & Gas Industry Using Industry 4.0 Concepts 基于工业4.0概念的油气行业零部件工艺链开发
Pub Date : 2022-05-01 DOI: 10.7763/ijet.2022.v14.1194
William S. Barbosa, Felipe C. Gouvea, A. R. F. A. Martins, Simone L. R. Belmonte, Renan F. F. Wanderley
Through the expansion of Industry 4.0, the Oil & Gas industry in the world is undergoing a major transformation, so that the formalization of a process chain for the manufacture of spare-parts becomes increasingly necessary. This work aims to create work patterns using the concepts of industry 4.0 applied to the Oil & Gas industry, through the study of several work- pieces of this area. All spare-parts were used to create a chain of manufacturing processes. From there, they were recreated through different digital or hybrid manufacturing techniques. Several points such as geometry, type of acquisition of geometry, types of raw materials, types of manufacturing technology and machinery were addressed. Mechanical tests were carried out at different stages of the process. The results obtained formed a basis for strategies aiming solving problems of the studied spare-parts, using hybrid and additive manufacturing techniques, combined with the concepts of Industry 4.0. The created protocol was a descriptive and detailed standardization of the production chain process. The evaluation of the processes, justifications and solutions was applicable for each demand, generating a virtual catalog of spare-parts and that fed a cyclical model of experiences that continually update the database itself.
通过工业4.0的扩展,世界石油和天然气行业正在经历一场重大变革,因此备件制造工艺链的正规化变得越来越必要。这项工作旨在通过研究该领域的几项工作,将工业4.0的概念应用于石油和天然气行业,从而创建工作模式。所有的备件都被用来创建一个制造流程链。从那里,它们通过不同的数字或混合制造技术被重新创造出来。讨论了几何形状、几何形状的获取类型、原材料类型、制造技术类型和机械类型等问题。在工艺的不同阶段进行了力学试验。所获得的结果为利用混合和增材制造技术,结合工业4.0的概念,解决所研究零件问题的策略奠定了基础。创建的协议是生产链过程的描述性和详细标准化。对过程、理由和解决办法的评价适用于每一项需求,产生一个备件的虚拟目录,并提供一个不断更新数据库本身的经验循环模型。
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引用次数: 2
An Adaptive and Greener Traffic Signal Coordination Scheme for Transport 4.0 交通4.0自适应环保交通信号协调方案
Pub Date : 2022-05-01 DOI: 10.7763/ijet.2022.v14.1197
W. A. G. Weerasundara, D. Udugahapattuwa, T. D. Munasingha, W. Gunathilake, U. Dampage
Traffic congestion has become a major concern, aroused as a result of increased population and urbanization. Hence, novel and innovative methods for controlling ever-increasing traffic volumes are essential. Conventional traffic light schemes are the most popular method of controlling traffic, and it is logical and economical to make research endeavors to optimize their existing performance. Despite numerous studies, the aforementioned problem has not been optimally and sufficiently solved. In this research, we introduce an adaptive traffic signaling scheme based on vehicle density to facilitate optimal traffic signal control as well as effective traffic management. We also propose effective coordination of the traffic amongst the junctions. Here, the live video is utilized as an input provided to a deep Q network to provide adaptive phase timings as the output. In the proposed scheme, we introduced per car unit (PCU) as a novel parameter to represent the effect of each vehicle type on traffic conditions. Numerous filed trials on real-time data amply prove that the proposed scheme enhances the average speed of traffic up to 5.597 km/h. The proposed scheme shows an average increment of 175.71% in average mean speed compared to the existing static schemes. Except for the high traffic scenario, for both mid traffic and low traffic scenarios, the proposed scheme shows a considerable improvement in both average densities and maximum densities. In the mid-traffic scenario, the average speed shows an improvement of 3.85 km/h, while in the low traffic scenario, the average mean speed shows an improvement of 7.96 km/h. A reduction in fuel consumption and average delay were also observed, which will lead to a greener Transport 4.0.
由于人口增长和城市化,交通拥堵已成为人们关注的主要问题。因此,新颖和创新的方法来控制日益增长的交通量是必不可少的。传统的交通信号灯方案是最常用的交通控制方法,对其现有性能进行优化研究是合乎逻辑和经济的。尽管进行了大量的研究,但上述问题尚未得到最佳和充分的解决。在本研究中,我们提出一种基于车辆密度的自适应交通信号方案,以实现最优的交通信号控制和有效的交通管理。我们还建议在路口之间有效地协调交通。在这里,实时视频被用作提供给深Q网络的输入,以提供自适应相位定时作为输出。在该方案中,我们引入了每辆车单位(PCU)作为一个新的参数来表示每种车辆类型对交通状况的影响。大量现场实时数据试验充分证明,该方案可将交通平均速度提高至5.597 km/h。与现有静态方案相比,该方案的平均速度平均提高了175.71%。除了高交通流量情况外,在中等交通流量和低交通流量情况下,建议方案在平均密度和最大密度方面均有显著改善。在中等流量场景下,平均速度提高了3.85 km/h,而在低流量场景下,平均速度提高了7.96 km/h。此外,还观察到燃油消耗和平均延迟的减少,这将导致更绿色的交通4.0。
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引用次数: 0
Observation of Movement of Ground Particles Given Vibration When Rod Is Dragged 振动条件下拉杆时地面颗粒运动的观察
Pub Date : 2022-02-01 DOI: 10.7763/ijet.2022.v14.1193
Tomohiro Watanabe, K. Iizuka
Supporting force, that a rod receives from the ground, is increased when vibration gives to the ground. This phenomenon is effective to improve the running performance for the legged rovers. In this study, the flow of the ground particles when a rod is dragged is measured using PIV for improving the running performance of the legged rovers. As observed from the experimental result, the larger the supporting force is, the larger the area that the particles move is. Therefore, the supporting force is related to the movement of the ground particles. Moreover, the area that the particles move becomes large by providing vibration whose frequency is high. The reason is considered that density is increased in a wide range of the ground when the vibration whose frequency is high. It is considered that the supporting force is increased by providing vibration to the ground because the area, that the particles move, grows by increasing density of the ground. The findings of this study suggest facilitating further planetary exploration using legged rovers.
当振动传到地面时,杆子从地面受到的支撑力增大。这种现象对提高有腿漫游车的运行性能是有效的。在本研究中,利用PIV测量地面颗粒在拖拽杆时的流动,以提高腿式探测车的运行性能。从实验结果可以看出,支撑力越大,颗粒移动的面积越大。因此,支撑力与地面粒子的运动有关。此外,通过提供高频率的振动,粒子的运动面积变大。其原因是,当振动频率较高时,在较宽的范围内,地面密度增大。人们认为,通过向地面提供振动来增加支撑力,因为颗粒移动的面积随着地面密度的增加而增加。这项研究的发现表明,使用有腿的探测器可以促进进一步的行星探索。
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引用次数: 2
期刊
International journal of engineering and technology
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