scholarly journals Artificial Intelligence in the Protection and Inheritance of Cultural Landscape Heritage in Traditional Village

2022 ◽  
Vol 2022 ◽  
pp. 1-11
Author(s):  
Xin Wang
Keyword(s):  
Artificial Intelligence ◽  
Service Life ◽  
Literature Review ◽  
Cultural Heritage ◽  
Image Restoration ◽  
Real Time ◽  
Cultural Landscape ◽  
Jiangxi Province ◽  
Landscape Heritage ◽  
Intelligent Positioning

To continue to protect and inherit the cultural landscape heritage of traditional villages, starting from the perspective of artificial intelligence (AI), literature review methods are used, and related theories are collected. Then, Wuyuan County in Jiangxi Province in the traditional villages is taken as the research object. By analyzing the tourism income of this place from 2016 to 2020, the overall income of this county is relatively good. In fact, due to the weak protection of traditional villages in Wuyuan County, the lack of supervision awareness, the implementation of the “immigrant and relocation” policy, and the backward thinking of residents, the cultural landscape of traditional villages has collapsed and destroyed. Up to now, there are 113 ancient ancestral temples, 28 ancient mansion houses, 36 ancient private houses, 187 ancient bridges, and only 12 ancient villages. Finally, AI technology is applied to the cultural landscape of traditional villages. Through image restoration technology, traditional villages can be restored to a certain extent. Intelligent positioning and radio frequency (RF) technology can also realize real-time monitoring of traditional villages from the perspective of weather and service life to achieve the purpose of protecting cultural landscape heritage. Therefore, AI technology is applied in the protection and inheritance of traditional village cultural landscape heritage, which has great reference significance for the management of various historical and cultural heritage.

scholarly journals Human-Centered Artificial Intelligence for Designing Accessible Cultural Heritage

2021 ◽  
Vol 11 (2) ◽  
pp. 870
Author(s):  
Galena Pisoni ◽  
Natalia Díaz-Rodríguez ◽  
Hannie Gijlers ◽  
Linda Tonolli
Keyword(s):  
Artificial Intelligence ◽  
Literature Review ◽  
Cultural Heritage ◽  
Conceptual Framework ◽  
Interaction Design ◽  
Participatory Design ◽  
Future Directions ◽  
Heritage Sites ◽  
Review Analysis

This paper reviews the literature concerning technology used for creating and delivering accessible museum and cultural heritage sites experiences. It highlights the importance of the delivery suited for everyone from different areas of expertise, namely interaction design, pedagogical and participatory design, and it presents how recent and future artificial intelligence (AI) developments can be used for this aim, i.e.,improving and widening online and in situ accessibility. From the literature review analysis, we articulate a conceptual framework that incorporates key elements that constitute museum and cultural heritage online experiences and how these elements are related to each other. Concrete opportunities for future directions empirical research for accessibility of cultural heritage contents are suggested and further discussed.

scholarly journals Selokan Mataram in Yogyakarta as a cultural landscape: Heritage values and pressures

2021 ◽  
Vol 879 (1) ◽  
pp. 012012
Author(s):  
D H Rahmi ◽  
B Setiawan
Keyword(s):  
Cultural Heritage ◽  
Cultural Landscape ◽  
Rapid Development ◽  
Secondary Data ◽  
Irrigation Canal ◽  
Multiple Sources ◽  
Study Approach ◽  
The Government ◽  
The Moment ◽  
Landscape Heritage

Abstract Selokan Mataram, a 31.2 km irrigation canal linking Opak and Progo Rivers in the Province of Yogyakarta, initiated and built by Sultan HB IX during the Japanese Occupation, has essential historical values and cultural heritage. It was built to provide water for agricultural activities in the area. At the moment, however, the Selokan Mataram is under the pressure of urbanization and rapid development. Such pressures are threatening its heritage values. This paper aims to examine Selokan Mataram from a cultural landscape perspective, examine the values of its cultural heritage, and document the pressures, threats, and efforts that the government has undertaken to preserve it. This research uses a case study approach, where data and information are obtained through secondary data, field observation, and interviews with multiple sources. The research argues that Selokan Mataram is a ‘cultural landscape’ that is important to Yogyakarta. It has and fulfills important values to be registered as a cultural heritage. At the same time, as one crucial cultural landscape, Selokan Mataram and the surrounding area is threatened by the rapid development of the city where the local government is not fully able to manage and control it. This research recommends that Selokan Mataram should be declared as a cultural heritage area, so that efforts can be further supported and strengthened to preserve it.

scholarly journals Rights–Values–Interests: The Conflict between World Cultural Heritage and Community: A Case Study of the West Lake Cultural Landscape Heritage in China

2019 ◽  
Vol 11 (17) ◽  
pp. 4560
Author(s):  
Jiancheng Lu ◽  
Xiaolong Luo ◽  
Peigang Zhang
Keyword(s):  
Property Rights ◽  
Cultural Heritage ◽  
Cultural Landscape ◽  
Local Communities ◽  
West Lake ◽  
Community Residents ◽  
World Cultural Heritage ◽  
Legitimate Interests ◽  
Landscape Heritage

The conflict between world cultural heritage and local communities is investigated by using the cultural landscape heritage of West Lake in China as a case study, and establishing an analytical framework of “Rights–Values–Interests” based on the property rights theory of the new institutional economics and the value and interest structure characteristics of cultural heritage. The conflict problem in the market environment is analyzed based on a theoretical explanation. An in-depth discussion of the framework and improvement of China’s protection institution is provided. We outline the following key points: First, the Chinese government “plundered” certain behavior rights and legitimate interests of community residents through the enactment of protection laws, leading to a conflict between the protection and community. Second, China’s laws lack a clear definition of the power and responsibility of the central and local governments with regard to protection actions, leading to vague positions of the government and exacerbating conflicts. Third, China’s protection laws are out of touch with the laws of private property rights. The root cause of the conflict is that the protection action only considers the protection law as the core but neglects the residents’ legal behavior rights. Finally, from the perspective of considering the residents’ legitimate interest demands, defining behavior rights boundaries, and strengthening administrative management, we propose to improve the protection institution in order to achieve the harmonious integration of heritage protection and local communities, and we call for a greater focus on the legitimate interests or survival rights of ordinary Chinese community residents.

scholarly journals Vulnerability and buildings service life applied to preventive conservation in cultural heritage

2018 ◽  
Vol 9 (1) ◽  
pp. 31-47 ◽  
Author(s):  
Rocío Ortiz ◽  
Juan Manuel Macias-Bernal ◽  
Pilar Ortiz
Keyword(s):  
Artificial Intelligence ◽  
Service Life ◽  
Cultural Heritage ◽  
Small And Medium Enterprises ◽  
Vulnerability Index ◽  
Conservation Action ◽  
Content Type ◽  
Preventive Conservation ◽  
Heritage Buildings ◽  
Delphi Analysis

Purpose The purpose of this paper is to present research on vulnerability and service life indexes applied to cultural heritage buildings. The construction and rehabilitation industry is concerned with the maintenance of monuments and reducing the economic costs of urgent interventions by taking preventive conservation action in historic cities. By applying a vulnerability index or analyzing the service life of buildings, it is possible to reduce risk and optimize the identification, evaluation and prioritization of urgent monument restoration tasks in a city or a region to establish preventive conservation policies. Design/methodology/approach This research sets out the concepts of vulnerability and service life, focusing on their methodologies in comparison with other techniques for building diagnosis, discussing the differences between indexes that measure the vulnerability and service life of buildings. Findings The vulnerability of three churches in Seville (Spain) was studied by means of their vulnerability index, based on Delphi analysis, and the service life of these buildings was also assessed, based on artificial intelligence tools. Delphi and artificial intelligence tools allow us to compare and dovetail different scenarios and expert opinions. The degree of each monument’s conservation is defined as its vulnerability index, which is an indirect function of deterioration levels. The service life of buildings, on the other hand, includes the assessment of vulnerability and hazards. Practical implications This study is useful for stakeholders, including small and medium enterprises (SMEs) and policymakers, as an important reference on diagnosis, including updated, inexpensive and sustainable methodologies to manage the conservation of monuments, which are easy to implement in developed and developing countries. The application of vulnerability and/or service life indicators is crucial to ensuring the sustainability and improvement of maintenance carried out on cultural heritage buildings. Originality/value This study details new approaches based on artificial intelligence and Delphi analysis to prioritize preventive conservation actions in a city or region.

scholarly journals Restoration of non-structural damaged murals in Shenzhen Bao’an based on a generator–discriminator network

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Jiao Li ◽  
Huan Wang ◽  
Zhiqin Deng ◽  
Mingtao Pan ◽  
Honghai Chen
Keyword(s):  
Artificial Intelligence ◽  
Cultural Heritage ◽  
Image Restoration ◽  
Network Model ◽  
Loss Function ◽  
Digital Image ◽  
Adversarial Learning ◽  
Traditional Algorithm ◽  
Digital Restoration ◽  
Discussion Question

AbstractShenzhen is a modern metropolis, but it hides a variety of valuable cultural heritage, such as ancient murals. How to effectively preserve and repair the murals is a worthy of discussion question. Here, we propose a generation-discriminator network model based on artificial intelligence algorithms to perform digital image restoration of ancient damaged murals. In adversarial learning, this study optimizes the discriminative network model. First, the real mural images and damaged images are spliced together as input to the discriminator network. The network uses a 5-layer encoder unit to down-sample the 1024 × 1024 × 3 image to 32 × 32 × 256. Then, we connect a layer of ZeroPadding2D to expand the image to 34 × 34 × 256, and pass the Conv2D layer, down-sample to 31 × 31 × 256, perform batch normalization, and repeat the above steps to get a 30 × 30 × 1 matrix. Finally, this part of the loss is emphasized in the loss function as needed to improve the texture detail information of the image generated by the Generator. The experimental results show that compared with the traditional algorithm, the PSNR value of the algorithm proposed in this paper can be increased by 5.86 db at most. The SSIM value increased by 0.13. Judging from subjective vision. The proposed algorithm can effectively repair damaged murals with dot-like damage and complex texture structures. The algorithm we proposed may be helpful for the digital restoration of ancient murals, and may also provide reference for mural restoration workers.

scholarly journals Joint development of cultural heritage protection and tourism: the case of Mount Lushan cultural landscape heritage site

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Cai Zhenrao ◽  
Fang Chaoyang ◽  
Zhang Qian ◽  
Chen Fulong
Keyword(s):  
Cultural Heritage ◽  
Cultural Landscape ◽  
Heritage Tourism ◽  
Analytical Models ◽  
Joint Development ◽  
Tourism Marketing ◽  
Heritage Site ◽  
Heritage Protection ◽  
Landscape Heritage ◽  
Tourist Flow

AbstractThe joint development of cultural heritage protection and tourism is an essential part of sustainable heritage tourism. Mount Lushan in China is such a site which in the past has had shortcomings in heritage protection and heritage tourism marketing. The present research addresses this issue by using digital technologies such as oblique aerial photography, 3D laser scanning technology, and 360 degrees panorama technology to digitize the Mount Lushan cultural landscape heritage site, integrating all elements to create a virtual tourism subsystem. It provides users with a virtual experience of cultural landscape heritage tourism and promotes cultural landscape tourism marketing. In addition, tourist flow and environmental subsystems were built through the integration of Internet of Things (IoT) technology and analytical models. The tourist flow subsystem can help managers to regulate tourist flow according to the tourist carrying capacity threshold. Managers can also conduct environmental health assessment and management through the "pressure-state-response" model provided by the environmental subsystem. Finally, a comprehensive platform was developed based on the system concept, which integrated the three subsystems and their functions, and developed different versions to provide a visual platform for tourists and managers. This study provides a new model for the joint development of cultural heritage protection and tourism activities.

Perceived Effectiveness of Artificial Intelligence based Decision Support System in a Clinical Setting: A Systematic Literature Review (Preprint)

2020 ◽  
Author(s):  
Avishek Choudhury
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Decision Support ◽  
Literature Review ◽  
Decision Support System ◽  
Support System ◽  
Clinical Setting ◽  
Clinical Decision Making ◽  
Theoretical Perspective ◽  
Care Providers

UNSTRUCTURED Objective: The potential benefits of artificial intelligence based decision support system (AI-DSS) from a theoretical perspective are well documented and perceived by researchers but there is a lack of evidence showing its influence on routine clinical practice and how its perceived by care providers. Since the effectiveness of AI systems depends on data quality, implementation, and interpretation. The purpose of this literature review is to analyze the effectiveness of AI-DSS in clinical setting and understand its influence on clinician’s decision making outcome. Materials and Methods: This review protocol follows the Preferred Reporting Items for Systematic Reviews and Meta- Analyses reporting guidelines. Literature will be identified using a multi-database search strategy developed in consultation with a librarian. The proposed screening process consists of a title and abstract scan, followed by a full-text review by two reviewers to determine the eligibility of articles. Studies outlining application of AI based decision support system in a clinical setting and its impact on clinician’s decision making, will be included. A tabular synthesis of the general study details will be provided, as well as a narrative synthesis of the extracted data, organised into themes. Studies solely reporting AI accuracy an but not implemented in a clinical setting to measure its influence on clinical decision making were excluded from further review. Results: We identified 8 eligible studies that implemented AI-DSS in a clinical setting to facilitate decisions concerning prostate cancer, post traumatic stress disorder, cardiac ailment, back pain, and others. Five (62.50%) out of 8 studies reported positive outcome of AI-DSS. Conclusion: The systematic review indicated that AI-enabled decision support systems, when implemented in a clinical setting and used by clinicians might not ensure enhanced decision making. However, there are very limited studies to confirm the claim that AI based decision support system can uplift clinicians decision making abilities.

scholarly journals BattleNet: Capturing Advantageous Battlefield in RTS Games (Student Abstract)

2020 ◽  
Vol 34 (10) ◽  
pp. 13849-13850
Author(s):  
Donghyeon Lee ◽  
Man-Je Kim ◽  
Chang Wook Ahn
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Real Time ◽  
Large Scale ◽  
Outcome Predictor ◽  
Short Term ◽  
Rts Game

In a real-time strategy (RTS) game, StarCraft II, players need to know the consequences before making a decision in combat. We propose a combat outcome predictor which utilizes terrain information as well as squad information. For training the model, we generated a StarCraft II combat dataset by simulating diverse and large-scale combat situations. The overall accuracy of our model was 89.7%. Our predictor can be integrated into the artificial intelligence agent for RTS games as a short-term decision-making module.

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