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International Journal of Information System Modeling and Design最新文献

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Art Design of Non-Heritage Cultural and Creative Products Based on the Concept of Sustainability 基于可持续性理念的非遗文化创意产品艺术设计
IF 0.8 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-07-26 DOI: 10.4018/ijismd.349881
Jing Li, Min Gao
With the continuous development of social economy and the gradual improvement of intangible culture protection system, the express train that integrates intangible culture into cultural and creative products to drive economic development has been on the highway. The integration of the two has become an important direction of traditional art protection and development in the industry and business of intangible cultural protection. From the perspective of sustainable development theory, this paper points out that the designers and developers of cultural and creative products need to take sustainable design as the core theory, organically combine the narrative of consumers with the intangible culture, and give full play to the social, cultural and commercial value of the current sustainable design theory in the visual design of intangible cultural and creative products. Taking the sustainability of ecological design and the sustainability of people-oriented design as the innovative ideas of visual design.
随着社会经济的不断发展和非物质文化保护体系的逐步完善,非物质文化融入文化创意产品带动经济发展的快车已经驶上高速路。两化融合已成为传统艺术保护和非物质文化保护事业产业发展的重要方向。本文从可持续发展理论的角度出发,指出文化创意产品的设计者和开发者需要以可持续设计为核心理论,将消费者的叙事与非物质文化有机结合,充分发挥当前可持续设计理论在非物质文化创意产品视觉设计中的社会价值、文化价值和商业价值。将生态设计的可持续性和以人为本的可持续性作为视觉设计的创新理念。
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引用次数: 0
Development of Multimedia-Assisted Clothing Try-On System for Elderly Individuals 为老年人开发多媒体辅助试衣系统
IF 0.8 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-07-17 DOI: 10.4018/ijismd.349575
Li Liu
With the improvement of living standards, the demand for high-quality, personalized modern fashion has surged, which has promoted the growth of this customized clothing industry. The integration of cutting-edge technologies such as 5G, artificial intelligence and Internet of Things with traditional clothing production has pushed virtual try-on technology to the forefront of global research. This study focuses on the technical challenges of 3D clothing dynamic virtual try-on system in real life—specifically, personalized posture tracking, high-fidelity real-time interaction and cost-effectiveness—using 3D visual sensing theory, clothing simulation modeling principle and advanced tools including Unity3d and Maya. It deeply studies the key areas: collecting sensory data based on Kinect, extracting the skeletal posture characteristics of the elderly, measuring their body circumference and size, developing a 3D dynamic model of clothing with tracking control, and realizing real-time dynamic display of virtual try-on results.
随着生活水平的提高,人们对高品质、个性化的现代时尚需求激增,促进了服装定制行业的发展。5G、人工智能、物联网等前沿技术与传统服装生产的融合,将虚拟试穿技术推向了全球研究的前沿。本研究利用三维视觉传感理论、服装仿真建模原理以及 Unity3d 和 Maya 等先进工具,重点研究三维服装动态虚拟试穿系统在现实生活中的技术难题,特别是个性化姿态跟踪、高保真实时交互和成本效益。它深入研究了基于 Kinect 的感知数据采集、提取老年人骨骼姿态特征、测量老年人体围和尺寸、开发具有跟踪控制功能的三维服装动态模型以及实现虚拟试穿结果的实时动态显示等关键领域。
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引用次数: 0
Research on Wireless Network Transmission and Building Information Model Technologies 无线网络传输和建筑信息模型技术研究
IF 0.8 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-07-17 DOI: 10.4018/ijismd.347218
Feng Qiao
In the construction management, it is possible to transmit large amounts of information in real-time during manufacturing, which can aid in the organization and administration of building materials. Through sampling survey and sand table simulation, the management of building materials based on BIM (Building Information Model) is compared with the traditional management method and the management method combining BIM with wireless network communication, so as to better understand the management method for building materials. This study evaluates the purchase, storage and quality of materials during the construction stage, and the differences in material management between different technical methods at different stages of the project development. According to the results, the average inventory turnover rate of the BIM-based management approach is six times higher than that of conventional management method, while the latter is four times higher. On the other hand, combining BIM with wireless network communication can produce better effects.
在建筑管理中,可以在生产过程中实时传输大量信息,从而有助于建筑材料的组织和管理。通过抽样调查和沙盘模拟,将基于 BIM(建筑信息模型)的建筑材料管理与传统管理方法和 BIM 与无线网络通信相结合的管理方法进行比较,从而更好地了解建筑材料的管理方法。本研究评估了施工阶段材料的采购、储存和质量,以及项目开发不同阶段不同技术方法在材料管理方面的差异。结果显示,基于 BIM 的管理方法的平均库存周转率是传统管理方法的 6 倍,而后者是前者的 4 倍。另一方面,将 BIM 与无线网络通信相结合可以产生更好的效果。
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引用次数: 0
Construction and Implementation of Content-Based National Music Retrieval Model Under Deep Learning 深度学习下基于内容的全国音乐检索模型的构建与实现
IF 1.2 Q3 Business, Management and Accounting Pub Date : 2024-05-17 DOI: 10.4018/ijismd.343631
Jing Shi, Lei Liu
This research mainly studies the construction and implementation of the content-based folk music retrieval model. Firstly, it studies the music automatic annotation method based on deep learning, and then proposes the tag conditional random field music automatic annotation method, and then constructs the music annotation depth neural network model combining a variety of music representation and attention mechanism. Finally, it analyzes the proposed folk music retrieval model the effectiveness of the cable model is verified and its performance is evaluated. The results show that in Glu module, Glu blocks had better performance in music annotation, and the music annotation results of each index in music hierarchical sequence modeling are better, which ensures the effectiveness of music annotation. Compared with other algorithms, the AUC tag score of the proposed method is the highest, which is 0.913; it can better model the mapping relationship between the audio features of music input to the text tag and has higher scores on all evaluation indicators.
本研究主要研究基于内容的民间音乐检索模型的构建与实现。首先研究了基于深度学习的音乐自动标注方法,进而提出了标签条件随机场音乐自动标注方法,然后结合多种音乐表示和关注机制构建了音乐标注深度神经网络模型。最后,分析了所提出的民间音乐检索模型,验证了有线模型的有效性,并对其性能进行了评估。结果表明,在Glu模块中,Glu块的音乐标注性能较好,音乐分层序列建模中各指标的音乐标注结果较好,保证了音乐标注的有效性。与其他算法相比,所提方法的AUC标签得分最高,为0.913;能较好地模拟音乐输入的音频特征与文本标签之间的映射关系,在各项评价指标上得分都较高。
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引用次数: 0
Automatic Test Sequence Generation and Functional Coverage Measurement From UML Sequence Diagrams 从UML序列图自动生成测试序列和功能覆盖度量
Q3 Business, Management and Accounting Pub Date : 2023-10-27 DOI: 10.4018/ijismd.332865
Nazım Umut Ekici, Tugkan Tuglular
Sequence diagrams define functional requirements through use cases. However, their visual form limits their usability in the later stages of the development life cycle. This work proposes a method to transform sequence diagrams into graph-based event sequence graphs, allowing the application of graph analysis methods and defining graph-based coverage criteria. This work explores these newfound abilities in two directions. The first is to use coverage criteria along with existing tests to measure their coverage levels, providing a metric of how well they address the scenarios defined in sequence diagrams. The second is to use coverage criteria to automatically generate effective and efficient acceptance test cases based on the scenarios defined in sequence diagrams. The transformation method is validated with over eighty non-trivial projects. The complete method is validated through a non-trivial example. The results show that the test cases generated with the proposed method are more effective at exposing faults and more efficient in test input size than user-generated test cases.
序列图通过用例定义功能需求。然而,它们的视觉形式限制了它们在开发生命周期后期的可用性。这项工作提出了一种将序列图转换为基于图的事件序列图的方法,允许应用图分析方法并定义基于图的覆盖标准。这项工作从两个方向探索了这些新发现的能力。第一种方法是使用覆盖标准和现有的测试来度量它们的覆盖级别,提供它们如何很好地处理序列图中定义的场景的度量。第二种是使用覆盖标准,根据序列图中定义的场景自动生成有效的验收测试用例。该转换方法通过80多个重要项目进行了验证。通过一个重要的示例验证了完整的方法。结果表明,与用户生成的测试用例相比,使用该方法生成的测试用例在暴露错误和测试输入大小方面更有效。
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引用次数: 0
Research on Material Demand Forecasting Algorithm Based on Multi-Dimensional Feature Fusion 基于多维特征融合的物资需求预测算法研究
Q3 Business, Management and Accounting Pub Date : 2023-09-12 DOI: 10.4018/ijismd.330137
Shi-Yao She, Fang-Fang Yuan, Jun-Ke Li, Hong-Wei Dai
Material demand forecasting has a profound impact on the supply chain and is an important prerequisite for manufacturing enterprises to produce. In order to accurately predict the material demand of enterprises, this paper proposes a material demand forecasting algorithm based on multi-dimensional feature fusion (DFMF). Secondly, in order to obtain the spatial features, the vector representation of the relevant materials of a material is obtained through the attention mechanism. Then, the authors aggregate the relevant material representation and material vector representation of materials to obtain the final material vector representation through aggregation function. Then the final material vector representation under different time scales is used as input, and the prediction value of material demand is obtained by using BP neural network. Finally, experiments show that the model can effectively obtain multi-dimensional features of materials for prediction, and the prediction results have high accuracy.
物料需求预测对供应链有着深远的影响,是制造企业进行生产的重要前提。为了准确预测企业的物资需求,本文提出了一种基于多维特征融合(DFMF)的物资需求预测算法。其次,为了获得空间特征,通过注意机制获得材料的相关材料的向量表示。然后,将材料的相关材料表示和材料矢量表示进行聚合,通过聚合函数得到最终的材料矢量表示。然后将不同时间尺度下的最终材料向量表示作为输入,利用BP神经网络得到材料需求的预测值。最后,实验表明,该模型能够有效地获取材料的多维特征进行预测,预测结果具有较高的准确性。
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引用次数: 0
VORDi*: A Combined Approach for Requirements Engineering of Software as a Service 软件即服务需求工程的组合方法
IF 1.2 Q3 Business, Management and Accounting Pub Date : 2021-01-01 DOI: 10.4018/ijismd.288553
Farida Kherissi
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引用次数: 0
MidSemI
IF 1.2 Q3 Business, Management and Accounting Pub Date : 2019-04-01 DOI: 10.4018/ijismd.2019040101
Samir Sellami, T. Dkaki, N. Zarour, Pierre-Jean Charrel
The web diversification into the Web of Data and social media means that companies need to gather all the necessary data to help make the best-informed market decisions. However, data providers on the web publish data in various data models and may equip it with different search capabilities, thus requiring data integration techniques to access them. This work explores the current challenges in this area, discusses the limitations of some existing integration tools, and addresses them by proposing a semantic mediator-based approach to virtually integrate enterprise data with large-scale social and linked data. The implementation of the proposed approach is a configurable middleware application and a user-friendly keyword search interface that retrieves its input from internal enterprise data combined with various SPARQL endpoints and Web APIs. An evaluation study was conducted to compare its features with recent integration approaches. The results illustrate the added value and usability of the contributed approach.
网络向数据网络和社交媒体的多样化意味着公司需要收集所有必要的数据,以帮助做出最明智的市场决策。然而,网络上的数据提供者以各种数据模型发布数据,并可能为其配备不同的搜索功能,因此需要数据集成技术来访问它们。本文探讨了该领域的当前挑战,讨论了一些现有集成工具的局限性,并通过提出一种基于语义中介的方法来解决这些问题,从而将企业数据与大规模社交和关联数据虚拟地集成在一起。所建议的方法的实现是一个可配置的中间件应用程序和一个用户友好的关键字搜索界面,该界面结合各种SPARQL端点和Web api从内部企业数据中检索其输入。进行了一项评价研究,以比较其特点与最近的整合方法。结果说明了所贡献方法的附加价值和可用性。
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引用次数: 3
Towards Risk Based Effort Estimation 迈向基于风险的工作量评估
IF 1.2 Q3 Business, Management and Accounting Pub Date : 2018-10-01 DOI: 10.4018/IJISMD.2018100105
Cerene Mariam Abraham, M. Elayidom, T. Santhanakrishnan
Studies have shown that requirement defects are among the major sources of failure constituting 32.65%. It is one of the overlooked aspects in requirements engineering and is generally considered as a potential problem that can affect the projects in a negative way. The main objective of this article is to propose a risk-based effort estimation technique that identifies, analyzes, and classifies risk at requirement engineering phase to restrain them from propagating to the later stages of the project lifecycle. This article extends the scope by integrating both threats and opportunities and their further classification based on extensive requirement analysis. The validation of the proposed approach was conducted on successfully delivered real project data. A survey is also conducted as a part of qualitative analysis for analyzing the applicability of the proposed approach. The results of the proposed method are promising and strongly support findings of literature stating that the effort needed to fix issues at a later stage in project lifecycle are costly as compared to early stages.
研究表明,需求缺陷是导致失败的主要原因之一,占32.65%。它是需求工程中被忽视的方面之一,并且通常被认为是一个潜在的问题,可以以消极的方式影响项目。本文的主要目标是提出一种基于风险的工作量评估技术,该技术在需求工程阶段识别、分析和分类风险,以防止它们传播到项目生命周期的后期阶段。本文通过集成威胁和机会以及基于广泛需求分析的进一步分类来扩展范围。在成功交付的实际项目数据上对所提出的方法进行了验证。作为定性分析的一部分,还进行了一项调查,以分析所提出方法的适用性。所提出的方法的结果是有希望的,并且有力地支持了文献的发现,即与早期阶段相比,在项目生命周期的后期阶段修复问题所需的努力是昂贵的。
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引用次数: 1
An Approach Based on Hierarchical Petri Nets for the Verification of Interconnected BPEL Processes 基于层次Petri网的BPEL互连流程验证方法
IF 1.2 Q3 Business, Management and Accounting Pub Date : 2018-04-01 DOI: 10.4018/IJISMD.2018040103
Boukhedouma Saida, Alimazighi Zaia
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引用次数: 3
期刊
International Journal of Information System Modeling and Design
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