Two-Scaled Identification of Landscape Character Types and Areas: A Case Study of the Yunnan–Vietnam Railway (Yunnan Section), China

Wang, Yingxue; Du, Jiaheng; Kuang, Jingxing; Chen, Chunxu; Li, Mao-biao; Jin, Wang

doi:10.3390/su15076173

Cited by 5 publications

(2 citation statements)

References 43 publications

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“…The tokenizer performs the breakdown of text into tokens according to the terms of the desired rules. Some examples of tokenization that are often used are word tokenization and sentence tokenization [27]. In this study, we use a pre-trained model so that to use a tokenizer in pre-processing, we must use the tokenizer associated with it.…”

Section: Tokenizermentioning

confidence: 99%

“…Some research on the use of mBART has been conducted in several languages, such as Russian [22], [23], Vietnamese [24], [25], [26] dand various other languages. From some of these studies, the evaluation results can produce good values, such as in Vietnamese language research [24], [26], [27] which get a rough-value of 55.21, a rough-2 of 25.69, and a rough-L of 37.33 for a dataset called WikiLingua, and for the Vietnews dataset, a rough-value of 59.81, a rough-2 of 28.28, and a rough-L of 38.71. In this study, research was conducted on the use of mBART in the text summarization of Indonesian news.…”

Section: Introductionmentioning

confidence: 99%

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Indonesian News Text Summarization Using MBART Algorithm

Astuti,

Muljono,

Sutriawan

2024

SJI

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Purpose: Technology advancements have led to the production of a large amount of textual data. There are numerous locations where one can find textual information sources, including blogs, news portals, and websites. Kompas, BBC, Liputan 6, CNN, and other news portals are a few websites that offer news in Indonesian. The purpose of this study was to explore the effectiveness of using mBART in text summarization for Bahasa Indonesia.Methods: This study uses mBART, a transformer architecture, to perform fine-tuning to generate news article summaries in Bahasa Indonesia. Evaluation was conducted using the ROUGE method to assess the quality of the summaries produced.Results: Evaluation using the ROUGE metric showed better results, with ROUGE-1 of 35.94, ROUGE-2 of 16.43, and ROUGE-L of 29.91. However, the performance of the model is still not optimal compared to existing models in text summarization for another language.Novelty: The novelty of this research lies in the use of mBART for text summarization, specifically adapted for Bahasa Indonesia. In addition, the findings also contribute to understanding the challenges and opportunities of improving text summarization techniques in the Indonesian context.

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Section: Tokenizermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Indonesian News Text Summarization Using MBART Algorithm

Astuti,

Muljono,

Sutriawan

2024

SJI

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Immersive virtual reality and computer vision for heritage: visual evaluation and perception of the industrial heritage sites along the Yunnan–Vietnam railway (Yunnan section)

Wang,

Pan

et al. 2024

Herit Sci

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The visual composition and human perception are found to relate to the reuse and tourism of heritage railways. Previous studies have used either environmental audits and on-site interviews that have limitations in terms of cost, time, and measurement scale, or virtual perception base on two-dimension images but with gaps in interactivity, virtual immersion and field of view. This study developed an “objective + subjective” visual evaluation and perception framework integrating Computer Vision (CV) and Immersive Virtual Reality (IVR) to assess the visual quality of industrial heritage sites along the Yunnan-Vietnam Railway (Yunnan Section). The stepwise multiple linear regression models were carried out to investigate the relationship between objective evaluation and subjective perception. The results showed that 16 landscape elements of the heritage sites were successfully segmented. According to the visual perception score bands, the 120 industrial heritage sites were classified as 39 high-score sites, 66 medium-score sites, and 15 low-score sites. In general, although the sky and hard ground accounted for a higher proportion, they had little effect on the sum scores, while the vegetation, water, and buildings played a significant role in the perception of visual quality. The results can help researchers, planners, and government departments clarify the visual quality to scientifically specify bottom-up planning and management solutions for railway industrial heritage sites. Moreover, the simplicity, accuracy, and effectiveness of this framework make it suitable for large-scale visual evaluation of other railway industrial heritage sites and linear heritage sites.

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Integrating Heritage and Environment: Characterization of Cultural Landscape in Beijing Great Wall Heritage Area

He,

Chen,

Zhang

2024

Land

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The Great Wall, as a globally important large-scale linear cultural heritage asset, is an example of the integration of architecture and landscape, demonstrating the interaction and feedback between heritage and the environment. In the context of advocating the holistic protection of cultural heritage and surroundings, this study utilizes landscape character assessment (LCA) to identify the landscape character of the Great Wall heritage area. Taking the heritage area of the Great Wall in Beijing, China, as an example, principal component analysis (PCA), two-step clustering, and the eCognition software were used to identify and describe the landscape character types, and the interaction mechanism between heritage and the environment was further explored through the reclassification process. A total of 20 landscape character types and 201 landscape character areas were identified in the study area, and a deep coupling relationship between heritage and the environment and cultural landscape spatial patterns were found in the core heritage area. The heritage and environmental character of linear heritage areas should be integrated so as to protect, manage, and plan cultural heritage areas at the landscape level. This study identifies and describes the character of the coupling of heritage and the environment in the Great Wall area for the first time, expands the types and methods of landscape character assessment, and carries out the exploration to combine natural and cultural elements of large-scale linear cultural heritage areas.

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Two-Scaled Identification of Landscape Character Types and Areas: A Case Study of the Yunnan–Vietnam Railway (Yunnan Section), China

Cited by 5 publications

References 43 publications

Indonesian News Text Summarization Using MBART Algorithm

Indonesian News Text Summarization Using MBART Algorithm

Immersive virtual reality and computer vision for heritage: visual evaluation and perception of the industrial heritage sites along the Yunnan–Vietnam railway (Yunnan section)

Integrating Heritage and Environment: Characterization of Cultural Landscape in Beijing Great Wall Heritage Area

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