• Transactions of the Korean Society of Mechanical Engineers A
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• v.28 no.11
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• pp.1637-1645
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• 2004

In remote control of telerobotics equipment, the real-time visual feedback is necessary in order to facilitate real-time control. Because of the network congestion and the associated delays, the real-time image feedback is generally difficult in the public networks like internet. If the remote user is not able to receive the image feedback within a certain time, the work performance may tend to decrease, and it makes difficulties to control of the telerobotics equipment. In this paper, we propose an improved visual feedback scheme over the internet for telerobotics system. The size of a remote site image and its quality are adjusted for efficient transmission. The constructed system has a better real-time update characteristics, and shows a potential for the real-time visual control of the telerobotics system.

• Journal of Information Processing Systems
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• v.17 no.5
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• pp.892-904
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• 2021

An image semantic segmentation model is proposed based on improved ENet network in order to achieve the low accuracy of image semantic segmentation in complex environment. Firstly, this paper performs pruning and convolution optimization operations on the ENet network. That is, the network structure is reasonably adjusted for better results in image segmentation by reducing the convolution operation in the decoder and proposing the bottleneck convolution structure. Squeeze-and-excitation (SE) module is then integrated into the optimized ENet network. Small-scale targets see improvement in segmentation accuracy via automatic learning of the importance of each feature channel. Finally, the experiment was verified on the public dataset. This method outperforms the existing comparison methods in mean pixel accuracy (MPA) and mean intersection over union (MIOU) values. And in a short running time, the accuracy of the segmentation and the efficiency of the operation are guaranteed.

• Korean Journal of Occupational Health Nursing
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• v.30 no.4
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• pp.156-166
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• 2021

Purpose: This study verified the characteristics and types of perceptions and attitudes toward a positive image of nurses, as perceived by new nurses, by applying Q-methodology. Methods: Participants were 37 new nurses serving at tertiary hospitals accommodating over 300 beds. Data were collected from April 1~30, 2021. Results: A positive image of nurses was categorized into four types: professional leadership, skilled empathy, experienced responsiveness, and cooperative sincerity. It is believed that this study will help establish a professional view of nurses by verifying the positive image of new nurses, who are likely to lead the future. Conclusion: Furthermore, by reducing the turnover of new nurses and increasing their job satisfaction, it would be possible to secure professional nursing personnel and the public's perception of good nurses, thereby contributing to the enhanced social status of nurses.

• Asia pacific journal of information systems
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• v.33 no.3
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• pp.768-791
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• 2023

Effective brand management using images has been a challenge for the brand managers. The brand identity-brand image alignment on the social media is an important yet mostly-overlooked phenomenon. We proposed a scalable Google Cloud Vision-based approach for measuring the alignment between brand identity and brand image, and understanding the brand positions. We analyzed 3247 images of 13 leading Indian brands on Instagram. Images containing wordy announcements by the firms are in stark contrast with the relatively more emotive images by the users. It leads to a noticeable disconnect between the brand identity and brand image. Also, the private sector brands do not always outperform the public sector brands in branding efforts. By offering practical guidance on how to measure and reduce the misalignment, this study paved a feasible path towards better visual branding on Instagram.

• Culinary science and hospitality research
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• v.23 no.6
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• pp.99-109
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• 2017

This study aims to investigate the impacts of marketing motive (public- vs. firm-interest) and ad appeal (soft- vs. hard-sell) types on consumers' ad attitudes and behavioral intention in hotels' green advertising. From 711 US respondents, a multivariate analysis of covariance (MANCOVA) was employed to test main effects of marketing motive and ad appeal types on ad recipients' affective and cognitive ad attitudes, while controlling their environmental consciousness. Further, the study conducted a multiple regressions analysis to examine the influence of ad attitudes on respondents' intention to visit the hotel. The study found that a public-serving claim can yield more positive affective ad attitude than a firm-interested claim, regardless of ad image type (soft- or hard-sell image). The result also revealed that a soft-sell ad image can elicit more positive affective ad attitude than a hard-sell one. On the other hand, the study showed that consumers' affective and cognitive ad attitudes are significant predictors of behavioral intention (i.e., visit intention). The study provided theoretical and managerial implications for hospitality researchers and hotel marketers to effectively design hotels' green advertising to ultimately increase consumers' visit intention.

• Journal of Broadcast Engineering
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• v.6 no.1
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• pp.58-65
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• 2001

This paper describes a new watermarking attach algorithm, a screen mark attack. The screen mark attack is a modified overmarking attach, which attacks a watermarking system by Inserting another watermark into a marked Image. Overmarking attack has a problem that it cannot be applied to a public watermarking software that prohibits the watermark embedder from embedding another watermark Into an already marked image. However, the proposed attack algorithm can be applied to such a pub1ic watermarking scheme. Test results show that the proposed watermarking attack algorithm is successful for commercial watermarking softwares and attacked images show better quality than Images attached by 07her attack tools.

• Journal of Korea Game Society
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• v.20 no.2
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• pp.75-90
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• 2020

The purpose of this study is to identify the functional role of music, which is one of the main elements that make up PC games. To this end, theme music by genre of PC game was divided through analysis and then the relationship between variables was analyzed by visually positioning the distance between 'music type', 'structural element of music' and 'image' using multiple correspondence matching analysis. As a result, it was confirmed that there was a difference in location between the types of music by game genre, the structural elements of music, and the characteristics of the image.

• Korean Journal of Remote Sensing
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• v.15 no.4
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• pp.329-337
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• 1999

With the ready access to the high resolution satellite image data, users of and areas covered by satellite image data are constantly on the rise world-widely. Korea will also be able to take full advantage of the satellite data once the Korea Multi-Purpose Satellite 1 (KOMPSAT-l) is successfully launched. Harmonizing satellite data production and application technology and users' needs, along with the guiding policy is essential for promoting satellite data use. Up to now, the Korean government has mainly concentrated on developing production technology for the satellite instruments. However, the imminent task of independent satellite data production demands a promotion policy for satellite data use. In this context, the policy is defined as an important medium for identifying the role and status of satellite image information at the national level and also preparing the legal as well as systematic foundation for producing, building, distributing, and packaging satellite data. The present paper aims to examine the role and status of the satellite data as well as their current status and problems in Korea in reference to the National Spatial Data Infrastructure, and finally to provide the policy directions to promote the satellite data use in public sector on the basis of the preceding analyses.

• Journal of The Korean Society of Agricultural Engineers
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• v.63 no.2
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• pp.33-40
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• 2021

The purpose of this study is to analysis the influence of personal backgrounds on the preference of fishing village experience recreation villages. As the analysis method, binary logistic regression analysis was used. Dependent variables are experience recreation villages (rural and fishing). The independent variables consist of 9 groups of people: gender, age, family type, marital status, presence of children, principal companion, fishing village image, visit experience villages, recognition of fishing village experience recreation village. As a result of the analysis, it was found that the tourist's gender, age, family type, marital status, presence of children, principal companion, fishing village image, visit experience villages, recognition of fishing village experience recreation village influence the preference of fishing village experience recreation village. By characteristics of each group, it was found that male prefer fishing village experience recreation villages 1.597 times as much as female, and those with a positive image about fishing villages prefer fishing village experience recreation villages as much as 2.644 times than those with negative images. In addition, it was found that those who visited the fishing village experience and recreation village prefer the fishing village experience village about six times more than those who have never visited.

• Korean Journal of Remote Sensing
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• v.33 no.4
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• pp.339-350
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• 2017

In recent, cloud computing paradigm and open source as a huge trend in the Information Communication Technology (ICT) are widely applied, being closely interrelated to each other in the various applications. The integrated services by both technologies is generally regarded as one of a prospective web-based business models impacting the concerned industries. In spite of progressing those technologies, there are a few application cases in the geo-based application domains. The purpose of this study is to develop a cloud-based service system for satellite image processing based on the pure and full open source. On the OpenStack, cloud computing open source, virtual servers for system management by open source stack and image processing functionalities provided by OTB have been built or constructed. In this stage, practical image processing functions for KOMPSAT within this service system are thresholding segmentation, pan-sharpening with multi-resolution image sets, change detection with paired image sets. This is the first case in which a government-supporting space science institution provides cloud-based services for satellite image processing functionalities based on pure open source stack. It is expected that this implemented system can expand with further image processing algorithms using public and open data sets.