• Journal of Korean Ophthalmic Optics Society
• /
• v.11 no.3
• /
• pp.207-215
• /
• 2006

This study surveys the brand and design recognition by an expert vs. non-expert group in the eye glasses industry. This survey is to search for a way for domestic brands to compete and win foreign ones. The non-expert group chose design as the most noteworthy difference between domestic and foreign brands; likewise, the expert group appeared to first consider design on their choice. Brand recognition by the non-expert group appeared very low; on the other hand, expert group's recognition was higher with domestic brands than with foreign ones. In conclusion, the bounce back of domestic eye glasses business does not seem to be possible in a snap by a special recipe; rather, it is necessary to invest and make efforts to develop new techniques for better quality on the one hand, and to increase brand and design recognition on the other.

• Korean Institute of Interior Design Journal
• /
• v.19 no.6
• /
• pp.179-187
• /
• 2010

For the user-centered interior space design, a designer needs to carefully focus on the details from which the user must keenly observe or concentrate on the space and how to deliberately check the image of the space. Following this view, for the user-centered interior space design this study analyzes the way which the space is represented from the perspective of the image assessment. The results obtained from this study are summarized as follows: First, this study analyzed the characteristic of space image change in the form of cross-comparison between one space and a rotated space. With analyzing of an eye fixation by showing the space, the space images of "concentration-dispersion" and "strengthening-weaken "have an important role in the analysis of the perception of space. it confirmed that the method of space perception was changed by rotated the space. Second, With changing quantities of image and extraction of deviation from adjective in survey, it quantitatively graps that respondents of feel in space perception by changing the space and "concentration" and 'dispersion" for process of space choice. The results of the research can provide important basis to judge the changing of space perception by visual perception. Third, through the analysis of image change rate and deviation rate, the characteristics of image change with space change can be analyzed. The results derived from the study provide the evidence to support the image change by space rotating.

• The KIPS Transactions:PartB
• /
• v.15B no.5
• /
• pp.391-396
• /
• 2008

Motion of object in a video clip often plays an important role in characterizing the content of the clip. A number of methods have been developed to analyze and retrieve video contents using motion information. However, most of these methods focused more on the analysis of direction or trajectory of motion but less on the analysis of the movement of an object itself. In this paper, we propose the shape sequence descriptor to describe and compare the movement based on the shape deformation caused by object motion along the time. A movement information is first represented a sequence of 2D shape of object extracted from input image sequence, and then 2D shape information is converted 1D shape feature using the shape descriptor. The shape sequence descriptor is obtained from the shape descriptor sequence by frequency transform along the time. Our experiment results show that the proposed method can be very simple and effective to describe the object movement and can be applicable to semantic applications such as content-based video retrieval and human movement recognition.

• Journal of the Computational Structural Engineering Institute of Korea
• /
• v.25 no.1
• /
• pp.9-18
• /
• 2012

The BIM called information modeling is used by tool not only it will simply be appearing the image and can save the information. Recently, there is a lot of case that improves the construction productivity by using the BIM during the life cycle of bridge from order to management. Although we already recognize the advantage of BIM, it is a careful phase to use the BIM. Therefore, We made the BIM for bridge, evaluated the possibility that can build the object used in the civil engineer, studied about the utility, the improvement in order to use the BIM properly. As a result, the BIM can recycle the information by using parametric model and attribute the efficiency and accuracy on drawing and calculating the quantity. The BIM is able to help productivity increase by using the builded model after we spend the effort building a model in early stage.

• Proceedings of the Korean Institute Of Construction Engineering and Management
• /
• 2008.11a
• /
• pp.55-60
• /
• 2008

Inspection of steel columns which is one of the most critical elements in construction requires trained surveyor(s). Also it takes time to handle survey device(s) delicately for accurate measurements. To improve the inspection process of steel columns, the previous studies developed the AR prototype system, ARCam, and showed that ARCam is a promising inspection device that can reduce inspection time. However, ARCam still requires a surveyor to make measurements based on his visual perception and judgment This study proposes an algorithm for automatic inspection based on ARCam. The algorithm is based on image processing and computer vision and focuses on the inspection of steel column plumbness. This method will make measurements without a surveyor's judgment. The ultimate purpose of the automatic inspection is to minimize the surveying labor, thus reducing inspection time and cost.

• Journal of Convergence Society for SMB
• /
• v.5 no.2
• /
• pp.1-6
• /
• 2015

Small and medium-sized companies lack countermeasures to secure the safety of a information system. In this circumstance, they have difficulties regarding the damage to their images and legal losses, when the information is leaked. This paper examines the information leakage of the system and hacking methods including APT attacks. Especially, APT attack, Advanced Persistent Threats, means that a hacker sneaks into a target and has a latency period of time and skims all the information related to the target, and acts in the backstage and neutralize the security services without leaving traces. Because he attacks the target covering up his traces not to reveal them, the victim remains unnoticed, which increases the damage. This study examines attack methods and the process of them and seeks a countermeasure.

• Knowledge Management Research
• /
• v.22 no.3
• /
• pp.55-73
• /
• 2021

The sharing economy is considered as a collaborative consumption which enables customers to share unused resources. This study investigated the key factors affecting consumer loyalty in the context of sharing accommodation. Emotions, perceived value and self-image consistency were posited as key antecedents of enhancing customer loyalty. Authentic experience, home amenities, and price fairness were also considered as Airbnb's selection attributes. Airbnb was selected a survey target because it is the largest company in the domain of shared accommodation market. The research model was analyzed for 294 Airbnb customer through structural equation models. Additionally, this paper examine Airbnb customers' experiences by topic modelling method posted on the Naver blog. Based on the understanding of the key factors affecting customer loyalty to sharing accommodation, the analysis results contribute to establish effective marketing and operation strategies by enhancing customer experience.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.22 no.5
• /
• pp.17-22
• /
• 2022

In this paper, we design a lightweight embedded device that can support intelligent edge computing, and show that the device quickly detects an object in an image input from a camera device in real time. The proposed system can be applied to environments without pre-installed infrastructure, such as an intelligent video control system for industrial sites or military areas, or video security systems mounted on autonomous vehicles such as drones. The On-Device AI(Artificial intelligence) technology is increasingly required for the widespread application of intelligent vision recognition systems. Computing offloading from an image data acquisition device to a nearby edge device enables fast service with less network and system resources than AI services performed in the cloud. In addition, it is expected to be safely applied to various industries as it can reduce the attack surface vulnerable to various hacking attacks and minimize the disclosure of sensitive data.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.22 no.6
• /
• pp.51-56
• /
• 2022

With the development of industrialization, the amount of food and waste is rapidly increasing. Accordingly, the government is aware of the seriousness and is making efforts in various ways to reduce it. As a part of that, the volume-based food system was introduced, and although there were several trials and errors at the beginning of the introduction, it shows a reduction effect of 20 to 30%. These results suggest that the volume-based food system is being established. However, the waste is caused by foreign substances in the process of recycling resources by collecting them from the 1st collection to the 2nd collection process. Therefore, in this study, to solve these problems fundamentally, artificial intelligence is applied to classify foreign substances and improve them. Due to the nature of food waste, there is a limit to obtaining many images, so we compare several models based on CNNs and classify them as abnormal data, that is, CNN-based models are trained on various types of foreign substances, and then models with high accuracy are selected. We intend to prepare improvement measures for maintenance, such as manpower input to protect equipment and classify foreign substances by applying it.

• Journal of Family Resource Management and Policy Review
• /
• v.25 no.3
• /
• pp.17-30
• /
• 2021

The purpose of this study was to examine the effectiveness of family-friendly management in 501 family-friendly certified firms and to analyze organizational and social outcomes outlined by the firms. In addition, this study aimed to discover ways to promote family-friendly management by investigating the effects of ongoing support to certified firms, including family-friendly consulting and workplace training. The results showed that certified firms administer family-friendly workplace policies at a satisfactory level, while their management of policy indices and outcomes were not effective. The finding suggests that family-friendly management indices need to be aligned with firms' substantial outcomes. An improved organizational image and trust were major organizational outcomes of family-friendly management, and an enhanced CEO perception and a culture centered on gender-equality were significant social outcomes. These outcomes need to be promoted to attract organizations to engage in family-friendly management. The finding further implies the important roles of organizations in cultivating family-friendly environments in society. Finally, the certified firms with ongoing consulting and training support exhibited higher levels of family-friendly management and organizational and social outcomes. This study sheds light on the importance of long-term, systematic efforts by organizations in fostering family-friendly management and achieving organizational and social outcomes.