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The external wall insulation method was introduced to enhance the energy efficiency of existing buildings. It does not cause a decrease of inner space and costs less in comparison to methods that insert insulation panels inside walls. However, it has been reported that external wall insulation boards are disconnecting from walls due to malfunctions of the adhesive. This causes not only repair costs, but also serious injury to pedestrians. Separation problems occur when the bonded positions are incorrect and/or the total area and thickness of the adhesive is smaller than the required amount. A challenge is that these faults can hardly be inspected after installing boards. For this reason, a real-time inspection system is necessary to detect potential failure during adhesive works. Position, area and thickness are major aspects to inspect, and thus a method to process image data of these seems efficient. This paper presents a real-time quality inspection system introducing image processing technology to detect potential errors during adhesive works of external wall insulation, and it is predicted to contribute to achieving sustainable remodeling construction by reducing squandered material and labor costs. The system consists of a graphic data creation module to capture the results of adhesive works and a quality inspection module to judge the pass or fail of works according to an algorithm. A prototype is developed and validated against 100 panels with 800 adhesive points.

The increased popularity of building information modeling (BIM) for application in the construction of eco-friendly green buildings has given rise to techniques for evaluating green buildings constructed using BIM features. Existing BIM-based green building evaluation techniques mostly rely on externally provided evaluation tools, which pose problems associated with interoperability, including a lack of data compatibility and the amount of time required for format conversion. To overcome these problems, this study sets out to develop a template (the “green template”) for evaluating the embodied environmental impact of using a BIM design tool as part of BIM-based building life-cycle assessment (LCA) technology development. Firstly, the BIM level of detail (LOD) was determined to evaluate the embodied environmental impact, and constructed a database of the impact factors of the embodied environmental impact of the major building materials, thereby adopting an LCA-based approach. The libraries of major building elements were developed by using the established databases and compiled evaluation table of the embodied environmental impact of the building materials. Finally, the green template was developed as an embodied environmental impact evaluation tool and a case study was performed to test its applicability. The results of the green template-based embodied environmental impact evaluation of a test building were validated against those of its actual quantity takeoff (2D takeoff), and its reliability was confirmed by an effective error rate of ≤5%. This study aims to develop a system for assessing the impact of the substances discharged from concrete production process on six environmental impact categories, i.e., global warming (GWP), acidification (AP), eutrophication (EP), abiotic depletion (ADP), ozone depletion (ODP), and photochemical oxidant creation (POCP), using the life a cycle assessment (LCA) method. To achieve this, we proposed an LCA method specifically applicable to concrete and tailored to the Korean concrete industry by adapting the ISO standards to suit the Korean situations.

Information on vermicomposting with Metaphire posthuma is scanty. This paper, therefore, aims to evaluate the bioconversion efficiency of this species against Eiseniafetida. For comparative analysis, different combinations of municipal solid waste (MSW) and cow dung were used as substrates. The contents of total N and availability of P, K, and Fe increased significantly in both Metaphire and Eisenia systems which was accompanied by substantial reduction in pH and total organic C. Both species exhibited similar levels of urease activity and microbial respiration. Moreover, bioavailability of heavy metals (Pb, Zn, Mn, and Cu) was reduced substantially during vermicomposting, irrespective of the earthworm species. In contrast, each species was distinguished by the enhancement either in microbial biomass C and phosphatase activity (Eisenia) or in humification and fulvic/humic acid C (Metaphire). The overall results suggest that indigenous earthworm, M.posthuma could be utilized as a successful candidate for bioprocessing of toxic wastes.

As a way to support teachers’ professional development activities and build communities of practice for teachers, education researchers and practitioners have put considerable effort into building an online learning community for K–12 teachers to create a venue to facilitate teachers’ joint knowledge construction. However, a substantial number of such online communities have failed due to lack of participation of members. Therefore, it is critical to understand how to design a sustainable community that fulfills members’ needs and elicits active participation of members. In this literature review, we adopted a sociological framework to investigate how to create a sustainable online community. This framework suggests that the sustainability of a community comes from individual members’ three types of commitments: instrumental, affective, and moral commitments. Such commitments are results of members’ cognitive, cathectic, and evaluative processes and lead to membership retainment, cohesive relationships, and socially regulated participation. Using this framework, we conducted a systematic literature review on online teacher community articles published from 1990 to 2018. Our findings provide insights on factors associated with teacher members’ instrumental, affective, and moral commitment to an online community. Based on these findings, we further provide design suggestions to build a sustainable community for teachers.

This study examines the relationship between air temperature and urban environment indices, mainly focusing on sky view factor (SVF) in Seoul, Korea. We use air temperature data observed from 295 automatic weather stations (AWS) during the day and night in Seoul. We conduct a spatial regression analysis to capture the effect of spatial autocorrelation in our data and identify changes in the effects of SVF on air temperature, while conducting the regression model for each dataset according to the floor area ratio (FAR). The findings of our study indicate that SVF negatively affects air temperature during both day and night when other effects are controlled through spatial regression models. Moreover, we address the environmental indices associated with day-time and night-time air temperatures and identify the changing effects of SVF on air temperature according to the areal floor area ratio of the analysis datasets. This study contributes to the literature on the relationship between SVF and air temperature in high-density cities and suggests policy implications for improving urban thermal environments with regard to urban design and planning.

Response scales in auditory perception assessment are critical for capturing the true responses of listeners. Despite its impact on data, response scales have received the least attention in auditory perception assessment. In this study, the usability of visual analogue scales for auditory perception assessment was investigated. Five response scales (a unipolar visual analogue scale–negated to regular, a unipolar visual analogue scale—regular to negated, a bipolar visual analogue scale–positive to negative, a bipolar visual analogue scale—negative to positive, and a unipolar 11-point scale (ISO/TS 15666:2021)) for auditory perception assessment are presented. Music and traffic noise were presented to 60 university students at two different levels, i.e., 45 and 65 dBA, respectively. A web-based experimental design was implemented, and tablet pads were provided to the respondents to record their responses. The unipolar 11-point scale required the longest response time, followed by the two unipolar visual analogue scales and two bipolar visual analogue scales with statistical significance. All response scales used in this study achieved statistical reliability and sensitivity for the auditory perception assessment. Among the five response scales, the bipolar visual analogue scale (negative to positive) ranked first in reliability over repeated measures, exhibited sensitivity in differentiating sound sources, and was preferred by the respondents under the conditions of the present study. None of the respondents preferred the unipolar 11-point scale. The visual analogue scale was favoured over the traditional unipolar 11-point scale by young educated adults in a mobile-based testing environment. Moreover, the bipolar visual analogue scale demonstrated the highest reliability and sensitivity, and it was preferred the most by the respondents. The semantic labelling direction from negated to regular, or from negative to positive, is preferred over its opposite counterpart. Further research is necessary to investigate the use of response scales for the general public including children and the elderly, as well as that of semantic adjectives and their counterparts for auditory perception assessment.

Many researchers have found that real activities manipulation undermines future profitability, because it deviates from normal operating activities. We are interested in sales manipulation, which is one type of real activities manipulation relating to corporate sustainability. First, we empirically examine whether the effects of sales manipulation on future profitability differ according to the strategies of a firm. Next, we divide sales manipulation as a type of real activities manipulation and optimal sales manipulation and then examine how the two types of sales manipulation affect future profitability. Finally, we examine how the effects of optimal sales manipulation on future profitability differ according to the firm’s strategies. The empirical findings show that the association between sales manipulation and future profitability is more negative (−) for a product differentiation strategy than for a cost leadership strategy. Further, the sales manipulation performed by firms with a high proportion of the starting inventory and a decrease in the inventory during the current year has a positive (+) impact on future profitability. Our results contribute to the literature on business strategy by presenting evidence that core management activities are related to future financial performance, according to the business strategy. In addition, our research shows that sales manipulation can turn into an optimal operating activity, depending on the firm’s situation.