Search Results (7)

This study employs subjective evaluation and eye movement experiments to explore the application and conveyance of logo graphics design, which conforms to the Gestalt principle of closure, to understand the psychological process of this principle in the perception of a logo. The study found that there is no significant difference between completely enclosed logos and unenclosed ones that conform to the principle of closure in their influence on sightline behavior due to the effects of closure, but the subjective evaluation favors unenclosed logos as more attractive and comfortable to perceive, which agrees with modern logo design trends. In addition, the sightline distribution of the image-type logos is more scattered and has the most extended fixation duration. In contrast, the sightline distribution of text-type logos is more concentrated. Designers who understand the principle of closure can intentionally incorporate imperfection into logo design, triggering the automatic mental filling of gaps and instilling new meaning and visual effect into a design. Full article

This study explores how blockchain technology can enhance the resilience of the prefabricated building supply chain in volatile, uncertain, complex, and ambiguous (VUCA) environments. The measurement model of the subject, stage, and overall resilience of the supply chain is constructed. The four indices of blockchain are introduced, and the model from the resilience of the supply chain subject to the overall resilience is established. The interaction behavior between subjects is analyzed. The weight is determined by the AHP method, and the multi-agent model simulation is carried out using NetLogo(6.5) software. After the introduction of blockchain technology, even in the early stage of application, supply chain resilience has been significantly enhanced; especially in the decision-making stage, information transparency and efficiency have been significantly improved. When the technology is maturely applied, the toughness of each stage shows an accelerated growth trend, and the improvement in toughness in the assembly stage is particularly significant. By optimizing key influencing factors, the growth rate of resilience in the assembly stage is further improved, which verifies the positive impact of blockchain technology and main factor optimization on overall resilience. In summary, the introduction of blockchain technology and its mature application are crucial for improving the resilience of the prefabricated building supply chain, providing an effective way to meet the challenges of VUCA. Full article

Eco-labels promote environmentally conscious behavior through logos and accompanying information. However, research on the optimal combinations of this information is limited. This study examines the impact of the Japanese Eco Mark logo and recycled plastic input information on consumers’ willingness to pay (WTP) for mugs and pens. The survey results show that both elements positively influence WTP, though logos have a greater impact than recycled plastic information. The analysis of personal attributes revealed that females have a higher WTP than males, with no significant differences across age groups. Consistent with behavioral theories, WTP for mugs increased with environmental awareness towards the 3Rs (Reduce, Reuse, Recycle), while trends for pens were less distinct. This indicates that the effectiveness of eco-labels and recycling information varies by product, highlighting the need for further research to explore these differences. Full article

Recently, the number of vehicles on the road, especially in urban centres, has increased dramatically due to the increasing trend of individuals towards urbanisation. As a result, manual detection and recognition of vehicles (i.e., license plates and vehicle manufacturers) become an arduous task and beyond human capabilities. In this paper, we have developed a system using transfer learning-based deep learning (DL) techniques to identify Jordanian vehicles automatically. The YOLOv3 (You Only Look Once) model was re-trained using transfer learning to accomplish license plate detection, character recognition, and vehicle logo detection. In contrast, the VGG16 (Visual Geometry Group) model was re-trained to accomplish the vehicle logo recognition. To train and test these models, four datasets have been collected. The first dataset consists of 7035 Jordanian vehicle images, the second dataset consists of 7176 Jordanian license plates, and the third dataset consists of 8271 Jordanian vehicle images. These datasets have been used to train and test the YOLOv3 model for Jordanian license plate detection, character recognition, and vehicle logo detection. In comparison, the fourth dataset consists of 158,230 vehicle logo images used to train and test the VGG16 model for vehicle logo recognition. Text measures were used to evaluate the performance of our developed system. Moreover, the mean average precision (mAP) measure was used to assess the YOLOv3 model of the detection tasks (i.e., license plate detection and vehicle logo detection). For license plate detection, the precision, recall, F-measure, and mAP were 99.6%, 100%, 99.8%, and 99.9%, respectively. While for character recognition, the precision, recall, and F-measure were 100%, 99.9%, and 99.95%, respectively. The performance of the license plate recognition stage was evaluated by evaluating these two sub-stages as a sequence, where the precision, recall, and F-measure were 99.8%, 99.8%, and 99.8%, respectively. Furthermore, for vehicle logo detection, the precision, recall, F-measure, and mAP were 99%, 99.6%, 99.3%, and 99.1%, respectively, while for vehicle logo recognition, the precision, recall, and F-measure were 98%, 98%, and 98%, respectively. The performance of the vehicle logo recognition stage was evaluated by evaluating these two sub-stages as a sequence, where the precision, recall, and F-measure were 95.3%, 99.5%, and 97.4%, respectively. Full article

The study is devoted to the analysis of the efficiency of use and the effectiveness of disclosing the intellectual capital (IC) of a trading company operating in the market of the Russian Federation. The subject of the research is an assessment of the quality of disclosure of information about the IC company involved in the creation of financial results of activities and the growth of the company’s value. The study examines the assessment of IC and the search for links between the involvement of IC in the formation of the financial result of a trading company and the degree of its reflection in the company’s annual reports. Methods of using intellectual value-added coefficients (VAIC) such as the trademark logo (written as ™), Calculated Intangible Value (CIV) and content analysis of the company’s annual reports are used to assess the IC and its elements. The influence of IC and its components, on the financial results of a trading company are also investigated and calculated using various methods. It is shown that there are no statistically significant relationships between the assessments of IC and its elements obtained using financial ratios, and those obtained using content analysis. This indicates that the opinions and assessments of the heads of a trading company regarding IC are formed regardless of the size of IC involved in the formation of economic results and testifies to the absence of an effective investment management policy in the studied company. Some of the results obtained confirm the trends in IC structures previously observed for companies in other industries. The results also indicate that the existing system for preparing annual reports does not sufficiently consider the size, dynamics and efficiency of using the intangible assets of a trading company. The results of this study are likely to be useful to management and academics. Full article

A logo is an effective way of expressing a brand’s identity and an essential element in conveying the values and image of the company. The development process of a competitive logo should be based on a design that is future-proof in a rapidly changing global market; hence, understanding the design trends for successful logo design is key. In this study, the design shape elements of logo trend models were analyzed and made into a database. Then, a trend analysis system was produced using radial visualization (RadViz) and circular parallel coordinates data visualization techniques. RadViz allows observation of clusters of logos that have similar shape elements, whereas with circular parallel coordinates plots, detailed information of the shape elements of each logo trend can be seen. Using the system, it was confirmed that shape elements—such as transformation to surface, overlapping, artificiality, concept of color and rhythm—play a major role in driving a trend. It was observed that trends change over time as various shape elements are added or removed. In addition, our study is expected to help predict the logo trend models that will come into style in the future. While similar efforts have been made in the past, our proposed system improves upon them by utilizing standard design elements as the categorizing criteria, using a unique combination of RadViz and circular parallel coordinates data visualization techniques. Using our system as a guideline, many users would be able to create logos that reflect what is trending. Full article

Land-Use/Cover Change (LUCC) reacts to demographic pressures, economic trends, or improved transport networks. Urban growth with implications on LUCC patterns can be measured using a diversity of methods. Our study derives from Tobler’s first law of geography: ‘everything is related to everything else, but near things are more related than distant ones’. We identified and measured the influence of neighbouring distance on urban growth from the edge of existing urban areas. For that, we have developed a method, built using the NetLogo software tool, which we called Land-use chAnge and Neighbouring Distance (LAND). We selected Torres Vedras (Portugal) to conduct our case study due to its increasing urban development in the past few years. The periods of analysis were 1995–2010, 1995–2007, and 2007–2010. The results have shown the influence and the effect of strong spatial correlation between the proximity of existing artificial surfaces and the emergence of new ones. The understanding of the patterns of urban growth is helpful to plan forward land developments. This method can be used to write guidelines for decision makers to monitor urban expansion and define spatial planning priorities. Full article