Search Results (431)

Waste management involves the systematic collection, transportation, processing, and treatment of waste materials generated by human activities. It entails a variety of strategies and technologies to diminish environmental impacts, protect public health, and conserve resources. Consequently, providing an effective and comprehensive optimization approach plays a critical role in minimizing waste generation, maximizing recycling and reuse, and safely disposing of waste. This work develops a novel Possibilistic Multi-Objective Mixed-Integer Linear Programming (PMOMILP) model in order to formulate the problem and design a circular–sustainable–reliable waste management network, under uncertainty. The possibility of recycling and recovery are considered across incineration and disposal processes to address the main circular-economy principles. The objectives are to address sustainable development throughout minimizing the total cost, minimizing the environmental impact, and maximizing the reliability of the Waste Management System (WMS). The Lp-metric technique is then implemented into the model to tackle the multi-objectiveness. Several benchmarks are adapted from the literature in order to validate the efficacy of the proposed methodology, and are treated by CPLEX solver/GAMS software in less than 174.70 s, on average. Moreover, a set of sensitivity analyses is performed to appraise different scenarios and explore utilitarian managerial implications and decision aids. It is demonstrated that the configured WMS network is highly sensitive to the specific time period wherein the WMS does not fail. Full article

The Shanxi merchants were one of the top ten merchant groups in Chinese history. From the Ming and Qing Dynasties to the Republic of China, they contributed significantly to the prosperity of China’s financial industry while also developing traditional residences adapted to the local living environment. Nevertheless, current research lacks a thorough investigation into how Shanxi merchant culture influenced the spatial forms of these residences. This study aimed to analyze the spatial forms of three types of Shanxi merchant residences in Pingyao Ancient City through a case study approach, exploring the factors influencing their spatial forms and their relationship with local culture. The focus is on how the shop residence, workshop residence, and courtyard residence types reflect the interplay between commercial activities and the sociocultural background through their spatial arrangements. The findings indicate a high degree of integration between commercial and residential functions, highlighting the profound impact of Shanxi merchant culture on social hierarchy and family structure. This research provides new insights into the spatial forms of Shanxi merchant residences, offering implications for the adaptive reuse of residences in modern urban planning and architectural design, as well as providing a theoretical basis and reference for the preservation and regeneration of architectural heritage. Full article

The architecture in the rural environment leaves a trail of forgotten pre-existence during depopulation processes. The anonymous practice of continuous updating that these constructions have undergone involves their enlargement and adaptation to new requirements in the sense of primary functionality, but also in the evolving ways of inhabiting. It shows an ability to update the heritage without rhetoric, presenting economic, social, and environmental sustainability. These considerations point towards an investigation of the upgrading of architecture in the rural environment as a source of action strategies in an adaptive reuse context. The methodological approach is based on a case study analysis of two intervention projects from the early 1990s in Grisons, namely the pioneering projects of Peter Märkli in Walenstadtberg in 1992/99 and Peter Zumthor in Versam in 1994. The analysis of both cases demonstrates a tectonic correlation between the spatial form development and the potential of traditional building systems. Furthermore, both cases prove the possibility of typological shifts when it comes to updating the built heritage for preservation. Finally, this study elucidates the exemplary role of both cases with respect to the renewed approaches to old and new in the context of the rural environment. Full article

The pavilion is a time-honored architectural form in the Chinese silhouette with strong regional characteristics. Its appearance and technical means are often adaptively combined according to the characteristics of local architecture. The “kiln–house isomorphism” is a unique construction technology of the Shanxi construction type in China. Therefore, the “kiln–house isomorphism” is generally adopted for the construction of pavilions in Shanxi. This study focuses on Xiaonanzhuang Village, Yuci District, Jinzhong City, Shanxi Province. Taking the Xiang-ming Pavilion, the core building of the village, as an example, we analyze the architectural characteristics of the “kiln–house isomorphism” in the pavilion in this area, describe the general construction rules of the region, and conduct a deep investigation of the five “cultural isomerism” factors of the pavilions in the region, namely, geomancy, etiquette and music, beliefs, clans, and cultivation and study. The results of this research will enrich the regional knowledge of such pavilions and add new objects for the protection of local architectural heritage, providing a theoretical basis for the contemporary adaptive reuse of pavilions in the Yuci area from a cultural perspective. Full article

The ongoing effects of climate change have led to a rise in global temperature, significantly reducing snow cover and resulting in the abandonment of numerous ski areas across Switzerland. As a result, many ski lifts have been decommissioned and left to deteriorate due to lenient local regulations. To address this issue, this paper presents a case study approach to repurposing steel trusses from abandoned ski lifts for a new structural application within the building industry. The design, sourcing, and construction of a new load-supporting column are described, focusing on reusing the ski lift steel trusses as a whole, without dismantling them into their components. After collection, these elements are adapted to comply with current building standards. By pouring out the hollow structure with the recently developed building material Cleancrete ©, a new load-bearing structure is developed. A comprehensive life cycle assessment (LCA) demonstrates the environmental performance of the steel–Cleancrete hybrid construction, which achieves a global warming potential (GWP) of 536.58 kg CO₂-eq. In comparison, alternative designs using wood and concrete exhibited GWP values of 679.45 kg CO₂-eq, +26.6%, and 1593.72 kg CO₂-eq, +197.02%, respectively. These findings suggest that repurposing abandoned ski lift structures can significantly contribute to sustainable building practices, waste reduction, and the promotion of circular economy principles. The process outlined in this paper holds potential for future applications, particularly in the reuse of other steel components, ensuring continued circularity even as the supply of ski lift structures may dwindle. Full article

The use of computer vision in the industry has become fundamental, playing an essential role in areas such as quality control and inspection, object recognition/tracking, and automation. Despite this constant growth, robotic cell systems employing computer vision encounter significant challenges, such as a lack of flexibility to adapt to different tasks or types of objects, necessitating extensive adjustments each time a change is required. This highlights the importance of developing a system that can be easily reused and reconfigured to address these challenges. This paper introduces a versatile and adaptable framework that exploits Computer Vision and the Robot Operating System (ROS) to facilitate pick-and-place operations within robotic cells, offering a comprehensive solution for handling and sorting random-flow objects on conveyor belts. Designed to be easily configured and reconfigured, it accommodates ROS-compatible robotic arms and 3D vision systems, ensuring adaptability to different technological requirements and reducing deployment costs. Experimental results demonstrate the framework’s high precision and accuracy in manipulating and sorting tested objects. Thus, this framework enhances the efficiency and flexibility of industrial robotic systems, making object manipulation more adaptable for unpredictable manufacturing environments. Full article

Plastic pollution is a major driver of climate change that is associated with biodiversity loss, greenhouse gas emissions, and negative soil, plant, animal, and human health. One of the solutions that has been proposed and is currently reducing the adverse effects of plastic on the planet is the replacement of synthetic plastics with biopolymers. The biodegradable polymers have been adapted for most of the applications of synthetic plastic. However, their use and disposal present some sustainability challenges. Recycling emerges as an effective way of promoting the sustainability of biopolymer use. In this article, we review recycling as a viable solution to improve the sustainability of biopolymers, emphasizing the current types and technologies employed in biopolymer recycling and the challenges faced in their adoption. Our exploration of the future directions in the conversion of biopolymers into new polymers for reuse establishes a connection between established continuous technological innovation, integration into circular economy models, and the establishment and strengthening of collaborations among key stakeholders in relevant industries as necessary steps for the adoption, full utilization, and improvement of recycling technologies for biopolymers. By connecting these factors, this study lays a foundation for the establishment of a roadmap for improved biopolymer recycling technologies and processes that promote the sustainability of synthetic plastic alternatives. Full article

Quantum computers have the capacity to solve certain complex problems more efficiently than classical computers. To fully leverage these quantum advantages, adapting classical arithmetic for quantum systems in a circuit level is essential. In this paper, we introduce a depth-optimized quantum circuit of Gauss–Jordan elimination for matrices in binary. This quantum circuit is a crucial module for accelerating Information Set Decoding (ISD) using Grover’s algorithm. ISD is a cryptographic technique used in analyzing code-based cryptographic algorithms. When combined with Grover’s search, it achieves a square root reduction in complexity. The proposed method emphasizes the potential for parallelization in the quantum circuit implementation of Gauss–Jordan elimination. We allocate additional ancilla qubits to enable parallel operations within the target matrix and further reuse these ancilla qubits to minimize overhead from our additional allocation. The proposed quantum circuit for Gauss–Jordan elimination achieves the lowest Toffoli depth compared to the-state-of-art previous works. Full article

The textile industry, a substantial component of the global economy, holds significant importance due to its environmental impacts. Particularly, the use of water and chemicals during dyeing processes raises concerns in the context of climate change and environmental sustainability. Hence, it is crucial from both environmental and economic standpoints for textile factories to adopt green industry standards, particularly in their dyeing operations. Adapting to the green industry aims to reduce water and energy consumption in textile dyeing processes, minimize waste, and decrease the carbon footprint. This approach has become crucial in achieving sustainability in textiles following the signing of the Paris Climate Agreement. Important elements of this transformation include the reuse of washing waters used in the dyeing process, the recycling of wastewater, and the enhancement of energy efficiency through necessary methodological and equipment changes. This study analyzes the energy, labor, production, and consumption data since 2011 for a textile factories with four branches located in the Adana Organized Industrial Zone. Among these factories, the one designated as UT1, which has the highest average energy and water consumption compared to the other three branches, is selected. In recent years, the use of artificial intelligence and machine learning technologies in predicting industrial processes has been increasingly observed. The data are analyzed using LSTM (Long Short-Term Memory) and ANN (Artificial Neural Networks) forecasting methods. Particularly, the LSTM algorithms, which provided the most accurate results, have enabled advanced forecasting of electricity consumption in dyeing processes for future years. In 2020, electricity consumption was recorded as 3,717,224 kWh and this consumption was reflected in the total energy cost as TRY 1,916,032. Electricity consumption accounts for 22.34% of total energy consumption, while the share of this energy type in the cost is 43.25%. In the light of these data, the MAPE value for energy consumption forecasts using the LSTM model was 0.45%, which shows that the model is able to forecast with high accuracy. As a result, a solar power plant was installed to optimize energy consumption, and in 2023 60% energy savings were achieved in summer and 25% in winter. The electricity consumption forecasting results have been an essential guide in planning strategic initiatives to enhance factory efficiency. Following improvement efforts aimed at reducing energy consumption and lowering the carbon footprint, significant optimizations in processes and layouts have been made at specific bottleneck points within the facility. These improvements have led to savings in labor, time, and space, and have reduced unit production costs. Full article

The fundamental disputes in urban heritage regeneration stem from variations in power dynamics and inherent value systems among stakeholders. Addressing conflicts and power differentials involving governmental bodies, market forces, community residents, experts, and scholars is crucial for fostering sustainable urban heritage development. Recently, these contradictions have grown more pronounced as China’s urbanization has transitioned from rapid expansion to a phase focused on existing urban assets. In the present research, the typical traditional courtyard-style residential buildings in Jinan, a historic city in northern China, were selected as the object of study. These houses often suffer from problems such as outdated infrastructure and low living conditions and have become difficult to adapt to contemporary urban life. A case study approach was employed focusing on a representative courtyard house to develop models for renewing and regenerating urban heritage, specifically tailored to traditional courtyard houses. The aim was to address conflicts and power disparities among urban heritage stakeholders through diverse mechanisms. Methodologically, the research integrates historical study and field investigation, participatory analysis, and policy analysis. Primary data sources include field surveys, historical research, oral interviews, and drone aerial photography. Models were constructed in the present study—namely, the heritage self-renewal, heritage revitalization, and heritage transformation models—for traditional courtyard houses. These models were designed to foster sustainable urban heritage development through collaborative efforts across various stakeholders and administrative levels. They will optimize the renewal mechanism of urban heritage, thus providing diversity and multiple possibilities for the preservation and reuse of architectural heritage in China. They aim to realize comprehensive urban heritage values, including vitality, health, efficiency, and equity, while accommodating the interests of diverse stakeholders. Full article

Increased timber construction is putting pressure on Ireland’s limited structural-grade timber stock, while recovered timber is currently downcycled or incinerated. Design for Adaptability, disassembly and reuse (DfADR) has emerged as a response to this wasteful linear process, which can increase the life span of structures, the ease of disassembly during and after use, and improve the quality of recovered material. However, while many DfADR strategies have been identified, uptake in architectural practice is lacking. Impediments to DfADR were identified through an analysis of an existing timber-framed structure and a modified design developed based on the ISO 20887:2020 principles to illustrate practical solutions. In tandem, a decision tool was developed that organised the plethora of identified strategies by the ISO principles and the work stages used by designers to facilitate integration into practice. Modest reconfigurations of the space and roof structure increased adaptability, access to services for replacement and repair, and expansion potential to increase service life, while rationalized timber sizes improved reuse potential. Using wood nails in stud and joist framing, with screws replacing nails elsewhere, and omitting adhesives from the floor panels increased the ease of disassembly. These relatively minor changes resulted in nearly 3 times the amount of solid timber with a high reuse potential (≥2348 mm) recovered over the original design, highlighting the impact DfADR can have on the recoverability and reusability of timber. Full article

Rehabilitating heritage buildings is a common practice in developed countries. In contrast, developing countries experiencing conflict lack the financial support and qualified experts to restore heritage buildings. This article focuses on the restoration of the al-Khader building in the Gaza Strip, part of a UNESCO project aimed at preserving historical buildings. This study aims to explore the challenges and impacts of the adaptive reuse of the al-Khader building as a children’s library for the local community and to explore the impact of this project on sustainable development and its importance locally, as well as the role of this building restoration and rehabilitation through Quintuple Helix dimensions. Qualitative methodology was used, including field observation and interviews, to present the project stages during restoration in 2016. The interviews were conducted with library users, employees, and visitors to evaluate their experience in 2019. The research revealed that the restoration process faced several challenges, including a lack of experience and professional workers in conservation work. Despite challenges, the building’s transformation positively affected heritage preservation and the local community, aligning with 11 Sustainable Development Goals—directly with 7 goals (SDGs 4, 7, 8, 11, 12, 16, and 17) and indirectly with 4 goals (SDGs 1, 5, 9, and 13). The findings emphasise the role of the library’s rehabilitation in contributing to the success of the Quintuple Helix in economic and civil society systems and the need to enhance the consideration of government, education, and environmental systems. Finally, this project, which external donors funded, increased awareness among local people of the importance of heritage buildings. Unfortunately, due to the ongoing conflict in Gaza, the current status of the building is unknown. This study, therefore, serves as necessary documentation of the building as it was in 2023 and prior. Full article

Remote sensing image classification usually needs many labeled samples so that the target nature can be fully described. For synthetic aperture radar (SAR) images, variations of the target scattering always happen to some extent due to the imaging geometry, weather conditions, and system parameters. Therefore, labeled samples in one image could not be suitable to represent the same target in other images. The domain distribution shift of different images reduces the reusability of the labeled samples. Thus, exploring cross-domain interpretation methods is of great potential for SAR images to improve the reuse rate of existing labels from historical images. In this study, an unsupervised cross-domain classification method is proposed that utilizes the Gini coefficient to rank the robust and stable polarimetric features in both the source and target domains (GRFST) such that an unsupervised domain adaptation (UDA) can be achieved. This method selects the optimal features from both the source and target domains to alleviate the domain distribution shift. Both fully polarimetric (FP) and compact polarimetric (CP) SAR features are explored for crop-domain terrain type classification. Specifically, the CP mode refers to the hybrid dual-pol mode with an arbitrary transmitting ellipse wave. This is the first attempt in the open literature to investigate the representing abilities of different CP modes for cross-domain terrain classification. Experiments are conducted from four aspects to demonstrate the performance of CP modes for cross-data, cross-scene, and cross-crop type classification. Results show that the GRFST-UDA method yields a classification accuracy of 2% to 12% higher than the traditional UDA methods. The degree of scene similarity has a certain impact on the accuracy of cross-domain crop classification. It was also found that when both the FP and circular CP SAR data are used, stable, promising results can be achieved. Full article

The theme of adaptive reuse, of great topicality for those who deal with built heritage, has its roots in the recent past, dating back to the end of the last century, when the problem of reuse proved to be competitive, for economic and cultural reasons, with respect to total demolition and reconstruction. Since then, various disciplinary and methodological approaches have been confronted with theories and methods of intervention, on an ever-expanding cultural heritage. This article offers a research perspective, with application of a case study of particular relevance to the city of Genoa, Italy. Adaptive reuse, in the text, is specifically dedicated to religious and sacred heritage that has lost its original function but has retained material traces and intangible values. The methodological approach, shared by several European architectural schools, is multi-disciplinary in nature and stems from the need to preserve material traces but, at the same time, preserve the spirit of the place, according to what is defined by the international community. The methodology and results are applied to the enhancement and reuse work for the former Genoa University Library, formerly the church of the Genoese Jesuit College (17th century). Full article

Wastewater reuse is a proven strategy to mitigate water stress in drought-prone regions. However, this practice is still limited due to high implementation costs, regulatory hurdles, and limited public acceptance. In regions with low reclaim rates, a thorough evaluation of the potential for reuse is needed to support decision-making, focusing on opportunities that address both low-hanging fruit and high-leverage projects. This paper introduces a streamlined, data-centric methodology for assessing wastewater reuse potential, adaptable to various regional contexts. The methodology involves comprehensive data collection and processing to evaluate wastewater treatment plant (WWTP) capabilities and identify potential users, allowing the prioritisation of case studies based on demand alignment. Different treatment and distribution systems are analysed to match WWTP capabilities with user needs, considering volume, quality, and infrastructure requirements. Cost analysis incorporates capital expenditure (CAPEX), operational expenditure (OPEX) and unit costs using novel cost functions for treatment and distribution. Risk analysis adheres to WHO methodology to ensure safety and sustainability. A case study in the Lisbon and Oeste areas in Portugal validates this approach, revealing key insights into the potential and economic viability of water reuse. By comparing tariffs and costs associated with different reuse scenarios, this paper offers benchmarks for the economic feasibility of reuse projects. Full article