Search Results (48)

The sustainable preservation of archeological heritage located in rural and coastal regions requires more than technical interventions; it necessitates the awareness and active participation of local communities. However, community involvement in heritage management in such areas remains limited. This study aims to analyze the levels of cultural heritage awareness, conservation tendencies, and tourism-related expectations among local residents and visitors in the Magarsus Archeological Area, located in the Karataş district on the eastern Mediterranean coast of Turkey. The study was conducted in three phases: a literature review, field observations, and a structured survey conducted between June and August 2022 with 510 participants (280 local residents and 230 domestic visitors from surrounding provinces). The data were analyzed using SPSS 25.0 through descriptive statistical methods, complemented by cross-tabulation and chi-square analysis to identify patterns across demographic variables. The survey results not only reflect general perceptions about heritage and tourism but also offer critical insights into how the rural and coastal character of the site shapes conservation attitudes and tourism behavior. The findings reveal nuanced perceptions, including strong symbolic appreciation for heritage and general openness to tourism, alongside concerns about cultural and environmental risks. While the local community prioritizes the potential for economic benefit, many participants also emphasized the importance of safeguarding local traditions, crafts, and culinary heritage. Nevertheless, concerns were expressed regarding the risks posed by uncontrolled tourism, including environmental degradation, erosion of cultural identity, and the commodification of heritage values. Based on these insights, the study introduces a governance approach built upon three interlinked pillars: community-based participation, environmental sustainability, and tourism practices aligned with cultural values. The proposed approach aims to support the inclusive and sustainable management of Magarsus and other rural and coastal archeological landscapes with similar characteristics. Full article

Yinyuan Longqi 隱元隆琦 was a pivotal figure in Sino–Japanese cultural exchange. His journey to Japan to propagate Buddhism, founding of the Ōbaku sect (Huangbo zong 黃檗宗), emphasis on the orthodoxy of his Zen teachings, and crafting of an “authentic” identity profoundly influenced Japanese Buddhism and culture. While existing studies have predominantly explored the socio–historical dimensions of Yinyuan’s construction of “authenticity” (benzhen 本真), his extensive corpus of Zen verses remains understudied. By tracing the “Huangbo” (Ōbaku) 黃檗 imagery in his writings, this study addresses how Yinyuan constructed “authenticity” through his poetic works. Before his journey to Japan, Yinyuan employed “Huangbo” imagery to articulate his personal situation and sentiment, elevating it into a symbolic representation of inner “authenticity”. In the early days after Yinyuan went to Japan, driven by the dual imperatives of promoting orthodox Zen and responding to Japanese expectations of Zen origins, he intricately intertwined “Huangbo” with Zen doctrines, transforming the imagery into a marker of “authenticity” that embodied both orthodox Zen philosophy and sectarian identity. Following the establishment of Kyoto’s Mount Huangbo, Yinyuan further reshaped the “Huangbo” imagery into a trans-geographical and cultural symbol of sectarian dharma lineage, thereby ensuring the spiritual continuity of “authenticity” across Chinese and Japanese Huangbo traditions. This process not only reflects the cross-cultural transmission of Buddhism from China to Japan but also serves as a critical lens for examining the interplay between globalization and localization in religious development. Full article

The quality of ISAR (Inverse Synthetic Aperture Radar) images has a significant impact on the detection and recognition of targets. Therefore, ISAR image quality assessment is a fundamental prerequisite and primary link in the utilization of ISAR images. Previous ISAR image quality assessment methods typically extract hand-crafted features or use simple multi-layer networks to extract local features. Hand-crafted features and local features from networks usually lack the global information of ISAR images. Furthermore, most deep neural networks obtain feature representations by abridging the prediction quality score and the ground truth, neglecting to explore the strong correlations between features and quality scores in the stage of feature extraction. This study proposes a Gramin Transformer to explore the similarity and diversity of features extracted from different images, thus obtaining features containing quality-related information. The Gramin matrix of features is computed to obtain the score token through the self-attention layer. It prompts the network to learn more discriminative features, which are closely associated with quality scores. Despite the Transformer architecture’s ability to extract global information, the Channel Attention Block (CAB) can capture complementary information from different channels in an image, aggregating and mining information from these channels to provide a more comprehensive evaluation of ISAR images. ISAR images are formed from target scattering points with a background containing substantial silent noise, and the Inter-Region Attention Block (IRAB) is utilized to extract local scattering point features, which decide the clarity of target. In addition, extensive experiments are conducted on the ISAR image dataset (including space stations, ships, aircraft, etc.). The evaluation results of our method on the dataset are significantly superior to those of traditional feature extraction methods and existing image quality assessment methods. Full article

The current research article focuses on safeguarding the knotted carpet weaving tradition in Guano, an endangered intangible cultural heritage (ICH) threatened by globalisation and a lack of intergenerational transmission. The research aims to revitalise this artisanal technique through a comprehensive safeguarding plan, using a participatory action research approach. Activities included in-depth interviews, workshops, and the documentation of seven key cultural practises related to the weaving, such as spinning, natural dyeing, and design. The study found that 86% of these practises are highly vulnerable. To address this, the research developed strategies to promote generational transmission, strengthen local collaboration, and connect the craft to territorial identity and sustainable tourism. Proposed actions include intergenerational education programmes, tourism initiatives, and local fairs to boost carpet marketing. The study contributes to the field of ICH by highlighting the role of cultural tourism in preserving at-risk artisanal techniques and community identity. It emphasizes the need for collaborative approaches to safeguard living heritage in a globalized world. The research findings underscore the importance of integrating traditional practices into modern contexts to ensure their long-term sustainability. Full article

This paper introduces a robust bi-orthogonal projection (RBOP) learning method for dimensionality reduction (DR). The proposed RBOP enhances the flexibility, robustness, and sparsity of the embedding framework, extending beyond traditional DR methods such as principal component analysis (PCA), neighborhood preserving embedding (NPE), and locality preserving projection (LPP). Unlike conventional approaches that rely on a single type of projection, RBOP innovates by employing two types of projections: the “true” projection and the “counterfeit” projection. These projections are crafted to be orthogonal, offering enhanced flexibility for the “true” projection and facilitating more precise data transformation in the process of subspace learning. By utilizing sparse reconstruction, the acquired true projection has the capability to map the data into a low-dimensional subspace while efficiently maintaining sparsity. Observing that the two projections share many similar data structures, the method aims to maintain the similarity structure of the data through distinct reconstruction processes. Additionally, the incorporation of a sparse component allows the method to address noise-corrupted data, compensating for noise during the DR process. Within this framework, a number of new unsupervised DR techniques have been developed, such as RBOP_PCA, RBOP_NPE, and RBO_LPP. Experimental results from both natural and synthetic datasets indicate that these proposed methods surpass existing, well-established DR techniques. Full article

In the realm of mobile robotics, the capability to navigate and map uncharted territories is paramount, and Simultaneous Localization and Mapping (SLAM) stands as a cornerstone technology enabling this capability. While traditional SLAM methods like Extended Kalman Filter (EKF) and FastSLAM have made strides, they often struggle with the complexities of non-linear dynamics and non-Gaussian noise, particularly in dynamic settings. Moreover, these methods can be computationally intensive, limiting their applicability in real-world scenarios. This paper introduces an innovative enhancement to the FastSLAM framework by integrating Multi-Objective Particle Swarm Optimization (MO-PSO), aiming to bolster the robustness and accuracy of SLAM in mobile robots. We outline the theoretical underpinnings of FastSLAM and underscore its significance in robotic autonomy for mapping and exploration. Our approach innovates by crafting a specialized fitness function within the MO-PSO paradigm, which is instrumental in optimizing the particle distribution and addressing the challenges inherent in traditional particle filtering methods. This strategic fusion of MO-PSO with FastSLAM not only circumvents the pitfalls of particle degeneration, but also enhances the overall robustness and precision of the SLAM process across a spectrum of operational environments. Our empirical evaluation involves testing the proposed method on three distinct simulation benchmarks, comparing its performance against four other algorithms. The results indicate that our MO-PSO-enhanced FastSLAM method outperforms the traditional particle filtering approach by significantly reducing particle degeneration and ensuring more reliable and precise SLAM performance in challenging environments. This research demonstrates that the integration of MO-PSO with FastSLAM is a promising direction for improving SLAM in mobile robots, providing a robust solution for accurate mapping and localization even in complex and unknown settings. Full article

Traditional costumes and crafts are a basic form and element of local culture and a vital pathway for perpetuating traditional art and design culture. They are an artistic form of historical and cultural significance. This paper focuses on three traditional costumes from Malta, Ireland, and Finland. The għonnella, worn by Maltese women of different social classes, consisted of a voluminous cape-like covering reinforced with whalebone and cardboard and was worn over the head and shoulders, reaching ankle length. Irish costumes were adorned with beautiful Irish lace, crochet, and embroidery. Celtic embroidery was added to clothing to develop a distinctive Irish dress style during the great cultural revival of the early 20th century. The Karelian costume from Finland was constructed using wool and linen. Ladies in Karelia wore handcrafted, highly embroidered gowns, and traditions were passed down from older ladies, including mothers and grandmothers. These costumes were collected in the late nineteenth and early twentieth centuries when Finnish Karelia was known as ‘The Old Finland’. This paper delves into the origins of these costumes and how social and cultural events, with their intriguing influence, shaped their styles, features, colors, and fabrics. Full article

In Romania, rural communities grapple with decades of depopulation and economic decline, endangering the natural and cultural richness of their landscapes. The implementation of Romania’s 2030 sustainable development plan presents an opportunity to reverse these trends by merging economic and community development with cultural preservation. This paper examines the potential for creating new livelihood opportunities through a program that integrates sustainable agrotourism with culturally appropriate vernacular architecture in Romania’s distinct rural regions. Focusing on two such regions characterized by significant rural population decline yet endowed with ecological services capable of supporting a diverse rural economy, we collaborated with an architect and landscape engineer to devise three specific and detailed agritourist housing scenarios. These scenarios draw upon local architectural forms harmonious with the vernacular landscape, providing accommodations for agrotourism guests and facilitating craft workshops for visitors interested in rural crafts and traditions. We evaluated the cultural appropriateness of the architectural designs through a social survey and assessed the broader social utility of the development plan via an expansive cost–benefit analysis, treating the project’s sustainability features as quasi-public goods. Such interdisciplinary endeavours are essential for effectively bridging conceptually driven social analysis with pragmatic design and planning strategies, essential for achieving sustainable futures for rural communities and landscapes, as exemplified by rural Romania. Full article

Along the Arctic and sub-Arctic coasts of Alaska, Siberia, north-eastern China, Hokkaido, Scandinavia and Iceland, people have dressed in clothes or worn shoes made of fish skin for millennia. (Within this article, the terms fish skin and fish leather are used to indicate different processes of the same material. Fish skin: Skin indicates the superficial dermis of an animal. Fish skin is referred to as the historical raw material that is tanned following traditional methods such as mechanical, oiling and smoking tanning, using materials such as bark, brain, urine, fish eggs and corn flour. Fish leather is used to refer that the fish skin has passed one or more stages of industrial vegetable or chrome tanning production and is ready to be used to produce leather goods). These items are often decorated with a rich colour palette of natural dyes provided by nature. In this study, minerals and raw materials of plant origin were collected from riverbanks and processed by Arctic seamstresses who operated as designers, biochemists, zoologists, and climatologists simultaneously. During our research, an international team of fashion, tanning and education specialists used local Arctic and sub-Arctic flora from Sweden, Iceland, and Japan to dye fish leather. Several plants were gathered and sampled on a small scale to test the process and determine the colours they generated based on the historical literature and verbal advice from local experts. This paper describes the process and illustrates the historical use of natural dyes by the Arctic groups originally involved in this craft, building on the traditional cultural heritage that has enabled us to develop sustainable dyeing processes. The results are promising and confirm the applicability of these local plants for dyeing fish skins, providing a basis for a range of natural dye colours from local Arctic flora. The aim is to develop a moderate-sized industrial production of fish leather in this colour palette to replace current unsustainable chemical dyeing processes. This project represents an innovation in material design driven by traditional technologies, addressing changes in interactions between humans and with our environment. The results indicate that new materials, processes, and techniques are often the fruitful marriage of fashion and historical research of traditional methods, helping the industry move towards a more sustainable future. Full article

Indoor scene classification plays a pivotal role in enabling social robots to seamlessly adapt to their environments, facilitating effective navigation and interaction within diverse indoor scenes. By accurately characterizing indoor scenes, robots can autonomously tailor their behaviors, making informed decisions to accomplish specific tasks. Traditional methods relying on manually crafted features encounter difficulties when characterizing complex indoor scenes. On the other hand, deep learning models address the shortcomings of traditional methods by autonomously learning hierarchical features from raw images. Despite the success of deep learning models, existing models still struggle to effectively characterize complex indoor scenes. This is because there is high degree of intra-class variability and inter-class similarity within indoor environments. To address this problem, we propose a dual-stream framework that harnesses both global contextual information and local features for enhanced recognition. The global stream captures high-level features and relationships across the scene. The local stream employs a fully convolutional network to extract fine-grained local information. The proposed dual-stream architecture effectively distinguishes scenes that share similar global contexts but contain different localized objects. We evaluate the performance of the proposed framework on a publicly available benchmark indoor scene dataset. From the experimental results, we demonstrate the effectiveness of the proposed framework. Full article

Festivals have emerged as a compelling subject of study within the realm of the social sciences, with disciplines like popular musicology showcasing festivals as a prominent area of investigation. These cultural events have demonstrated a profound and enduring impact on various generations, solidifying their significance in contemporary history. In the ever-evolving landscape of rapid social change, festivals have evolved into both traditions and heritage. Our research centered on the musical landscape in the city of Cáceres has culminated in the creation of a Festival Route rooted in the pertinent facets of its history and unique sociocultural context. The methodology employed in this study revolves around the development of comprehensive databases that encompass various parameters, principles, and elements. These databases are instrumental in crafting adaptable musical itineraries tailored to the individual participant’s characteristics, including age, educational background, place of origin, and explicit or intrinsic interests. Moreover, they factor into the duration of the route. These databases draw upon the findings of historiographic and ethnographic research, shedding light on the music performed and cherished within the city of Cáceres throughout its rich history. This paper primarily delves into the educational aspects derived from the socio-cultural phenomenon of festivals, specifically in the realms of music pedagogy and value-based education. Our Festival Route is designed with a particular focus on youth engagement, weaving together key locales within the city to create an enriching and educational experience. Full article

This paper addresses an alternative perspective on tourism success, emphasising sustainability over traditional quantitative metrics such as arrival numbers. It explores the impact of fiction films and TV series on individuals’ mental representations of destinations featured on screen, as well as the capacity of film discourse to construct a brand aligned with local stakeholders’ interests. Qualitative methods have been employed, conducting a literature review on sustainable film tourism and destination branding. Local news and an interview with the head of the Peñíscola Film Office complemented academic insights. The primary goal is to examine the “Peñíscola de Cine” project as a paradigm of success, initiated by the city council of Peñíscola, Spain. This project positions the municipality as a natural film set through productions like Game of Thrones (2011–2019), illustrating how film can contribute to destination branding and community engagement. The study highlights the positive contribution of film tourism to sustainability by diversifying and de-seasonalising a territory’s offerings. It also attracts a more educated and environmentally conscious audience. However, it cautiously discusses the potential risks, as evidenced by misapplications in Goathland, England, and Skellig Michael, Ireland, following their appearances in Heartbeat (1992–2010) and Star Wars (1977–2019), respectively. The paper concludes by suggesting film-friendly measures for destination management organizations (DMOs), emphasising the pivotal role of film commissions and film offices in crafting effective marketing strategies and capturing the interest of audiovisual production companies. Full article

The craft brewing industry is in a constant state of evolution. Over recent years, the craft beer sector has experienced rapid growth, and this trajectory is expected to persist. Microbreweries, in contrast to traditional industrial beer production, actively encourage the exploration of diverse beer styles, embrace the trend of championing local and regional ingredients, and maintain a strong focus on quality while resurrecting historic beer varieties. An analysis of interviews conducted with microbrewers in Slovenia featured in Slovenian daily newspapers revealed recurring categories that shed light on the drivers behind this flourishing artisanry. These findings are further discussed in the context of the existing scientific literature. Notably, a range of factors were identified as contributing to the growth of this sector. Among these factors, the desire for distinctive, authentic, locally rooted, and non-standardized flavours, styles, and ingredients, often accompanied by an inspiring and compelling brewer’s or creator’s narrative, played a pivotal role in attracting consumers. These results can inform microbrewers production, distribution, marketing, and pricing strategies. They are also relevant to the country policymakers supporting local hops production and local brewing. Full article

To deploy Unmanned Aerial Vehicles (UAVs) inside heterogeneous GPS-denied confined (potentially unknown) spaces, such as those encountered in mining and Urban Search and Rescue (USAR), requires the enhancement of numerous technologies. Of special interest is for UAVs to identify collision-freeSafe Flight Corridors (SFC${}^{+}$) within highly cluttered convex- and non-convex-shaped environments, which requires UAVs to perform advanced flight maneuvers while exploiting their flying capabilities. Within this paper, a novel auxiliary occupancy checking process that augments traditional 3D flight corridor generation is proposed. The 3D flight corridor is established as a topological structure based on a hand-crafted path either derived from a computer-generated environment or provided by the human operator, which captures humans’ preferences and desired flight intentions for the given space. This corridor is formulated as a series of interconnected overlapping convex polyhedra bounded by the perceived environmental geometries, which facilitates the generation of suitable 3D flight paths/trajectories that avoid local minima within the corridor boundaries. An occupancy check algorithm is employed to reduce the search space needed to identify 3D obstacle-free spaces in which their constructed polyhedron geometries are replaced with alternate convex polyhedra. To assess the feasibility and efficiency of the proposed SFC${}^{+}$ methodology, a comparative study is conducted against the Star-Convex Method (SCM), a prominent algorithm in the field. The results reveal the superiority of the proposed SFC${}^{+}$ methodology in terms of its computational efficiency and reduced search space for UAV maneuvering solutions. Various challenging confined-environment scenarios, each with different obstacle densities (confined scenarios), are utilized to verify the obtained outcomes. Full article

Pastoral nomadic regional confederations, states, and empires have assumed a prominent place in the histories of the Eurasian steppe zone; however, anthropological theory devoted to understanding these political systems is still debated and relatively inchoate. A major question concerns the techniques of political integration that might have brought together dispersed mobile herders under the aegis of these complex, large-scale steppe polities. The first such polity in East Asia, the Xiongnu state (c. 250 BC–150 AD) of Mongolia, has been characterized as a polity built by mobile herders, but in fact the steppe populations of this period followed quite diverse lifeways. Most notably, the establishment of more permanent settlements for craft and agricultural production has complicated the typical narrative of the pastoral nomadic eastern steppe. This study considers ways to conceptualize these interesting variations in lifeway during the Xiongnu period and raises the question of how they might have promoted a novel Xiongnu political order. We analyze transformations within the Egiin Gol valley of northern Mongolia to better understand the organizational, productive, and settlement dynamics and present the first regional landscape perspective on the local transformations incurred by the creation of a Xiongnu agricultural hub. To understand these radical changes with respect to the long-term pastoral nomadic and hunting-gathering traditions of the valley’s inhabitants, Salzman’s flexibility-based model of multiresource pastoralism is of great use. Egiin Gol valley transformations indeed attest to a scale of political economy far beyond the bounds of this local area and suggest an innovative role for indigenous farming in Eurasian steppe polity building. Full article