• Korean Journal of Remote Sensing
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• v.37 no.5_1
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• pp.1061-1070
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• 2021

In this manuscript, we tried to improve the performance of the FC-DenseNet by applying an attention gate for the classification of cropping areas. The attention gate module could facilitate the learning of a deep learning model and improve the performance of the model by injecting of spatial/spectral weights to each feature map. Crop classification was performed in the onion and garlic regions using a proposed deep learning model in which an attention gate was added to the skip connection part of FC-DenseNet. Training data was produced using various PlanetScope satellite imagery, and preprocessing was applied to minimize the problem of imbalanced training dataset. As a result of the crop classification, it was verified that the proposed deep learning model can more effectively classify the onion and garlic regions than existing FC-DenseNet algorithm.

• Science of Emotion and Sensibility
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• v.18 no.4
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• pp.3-14
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• 2015

This study has extracted observation data by spatial factor for the analysis of subjects' selective attention with the objects of public space at the entrance of subway stations. The methods extracting observation data can be summarized as the following. First, the frequency analysis by lattice was prevalent for those methods, but there is a limitation to the analysis of the observation data. On the contrary, the method extracting observation data by factor applied in this study can make it clear if any sight is concentrated on any particular factors in a space. Second, the results from the extracted data corresponding to the observation area can be objectified while the method setting up the observation area by applying the radius of fovea. Third, time-sequential trace of observation results of relevant factors was possible through hourly analysis of spatial factors. The consideration of the results of "corresponding spatial scope" which is the object of this study will reveal that the more the observation time, the less the degree of attention it receives. Fourth, the frequency of observation superiority was applied for the analysis of the sections with selective attention by time scope; this revealed that men and women had intensive observation in time scope I (52.4 %) and in time scope IV (24.0 %), respectively.

• Journal of Information Technology Services
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• v.8 no.3
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• pp.83-100
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• 2009

Even though the success of the information system (IS) protect becomes a critical issue to an enterprise and there has been a lot of research about finding critical success factors of IS projects, the scope management for the success of IS protect has received little attention in the literature. The purpose of this research is to investigate the effects of the project scope management activities defined by PMI (Project Management Institute) on the performance of the information system project. The focus of this paper is on the project supplier's point of view. This study shows the priority of the scope management activities during the IS Project. The results show the different results depending on the types of the project clients and the project scale. This research reveals that the scope verification is important for the project supplier from the project process view, and that the scope planning/definition is important for the protect client from the project result view. It also shows different results comparing to the conventional recognition about project success. The research results show that the positive relationships between the project scale and the importance of scope management activities, and between the familiarity of suppliers and clients and the importance of the scope management activities. Through this research, we expect that the importance of the scope management in a project will be considered as an important issue, and that this research will lead to various detailed research about this issue.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.707-716
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• 2020

The study investigates the relationship between broad-scope management accounting information usage, market orientation, and the firm performance. This study employs a survey data of 149 top-level and mid-level managers working in Vietnamese tourism enterprises. To analyze research data, we employ SmartPLS 3 software. The analytical process include measurement model evaluation (evaluate the scale's validity and reliability) and structural model evaluation (test research hypotheses). The results reveal that broad-scope management accounting information usage has a positive direct effect on market orientation dimensions (include information generation, information dissemination, and responsiveness). Then, market orientation dimensions also have positive direct effects on the performance of Vietnamese tourism firms, excluding information dissemination. Moreover, this study also reveals that the market orientation dimensions mediate the relationship between broad-scope management accounting information usage and firm performance. The findings of this study suggest that tourism firms should pay more attention to the use of management accounting information in decision-making. With the increasingly fierce competition of the tourism firms today, capturing and meeting the needs of the market is a prerequisite to help firms enhance their competitiveness and improve their performance. To do that, Vietnamese tourism firms need to consider pursuing market orientation and enhancing broad-scope management accounting information usage.

• Journal of the Korean Home Economics Association
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• v.27 no.4
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• pp.85-103
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• 1989

The purpose of this study is to figure out the urban low-income consumers' present possesion condition of electric appliances, the way of purchasing, shopping scope of groceries and electric appliances, and the shopping scope and information seeking behavior of groceries and electric appliances according to the socioeconomic variables, and the shopping scope of electric appliances according to the way of paying price. For this purpose 129 low-income consumers living in Inchon were interviewed through questionnares. Finally 100 questionnares were analyzed. The first major of this study is that the possesion rates of color television set and refrigerator are comparativelyl high, while those of washing machine, record player and camera are low. In case of electric appliances, consumers usually purchase things on credit and as a shopping place, they usually go to a commercial agent. In case of groceries, they usually buy things for cash, and in case of one price labeled groceries they usually buy things at a supermarket. Second, according to the way of paying price, the shopping scope of some electric appliances is broader in case of purchase for cach than in case of purchase on credit. Third, the shopping scope and information seeking behavior classified by the socioeconomic variables according to the income, age and education. That is as the income and education become higher and the age becomes lower, the shopping scope becomes broader, mass media information source is much more uaed and the frequency of seeking becomes higher. Through this study, I would like to suggest the followings. (1) The problem of low-income consumers is closely connected with the low education level, so it can be solved a bit through consumer education. (2) Especially the consumers' problem is more serious in case of those who are aged and get very low income and education. Therefore special attention is needed to those consumers.

• Asia pacific journal of information systems
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• v.15 no.1
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• pp.115-133
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• 2005

This study is to develop an information security management model(ISMM) for small and medium sized enterprises(SMEs). Based on extensive literature review, a five-pillar twelve-component reference ISMM is developed. The five pillars of SME's information security are: centralized decision making, ease of management, flexibility, agility and expandability. Twelve components are: scope & organization, security policy, resource assessment, risk assessment, implementation planning, control development, awareness training, monitoring, change management, auditing, maintenance and accident management. Subsequent survey designed and administered to expose experts' perception on the importance of these twelve components revealed that five out of tweleve components require relatively immediate attention than others, especially in SME's context. These five components are: scope and organization, resource assessment, auditing, change management, and incident management. Other seven components are policy, risk assessment, implementation planning, control development, awareness training, monitoring, and maintenance. It seems that resource limitation of SMEs directs their attention to ISMM activities that may not require a lot of resources. On the basis of these findings, a three-phase approach is developed and proposed here as an SME ISMM. Three phases are (1) foundation and promotion, (2) management and expansion, and (3) maturity. Implications of the model are discussed and suggestions are made for further research.

• International conference on construction engineering and project management
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• 2020.12a
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• pp.87-95
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• 2020

Generally, occupational safety and particularly construction safety is an intricate phenomenon. Industry professionals have devoted vital attention to enforcing Occupational Safety and Health (OHS) from the last three decades to enhance safety management in construction. Despite the efforts of the safety professionals and government agencies, current safety management still relies on manual inspections which are infrequent, time-consuming and prone to error. Extensive research has been carried out to deal with high fatality rates confronting by the construction industry. Sensor systems, visualization-based technologies, and tracking techniques have been deployed by researchers in the last decade. Recently in the construction industry, computer vision has attracted significant attention worldwide. However, the literature revealed the narrow scope of the computer vision technology for safety management, hence, broad scope research for safety monitoring is desired to attain a complete automatic job site monitoring. With this regard, the development of a broader scope computer vision-based risk recognition system for correlation detection between the construction entities is inevitable. For this purpose, a detailed analysis has been conducted and related rules which depict the correlations (positive and negative) between the construction entities were extracted. Deep learning supported Mask R-CNN algorithm is applied to train the model. As proof of concept, a prototype is developed based on real scenarios. The proposed approach is expected to enhance the effectiveness of safety inspection and reduce the encountered burden on safety managers. It is anticipated that this approach may enable a reduction in injuries and fatalities by implementing the exact relevant safety rules and will contribute to enhance the overall safety management and monitoring performance.

• Korean Journal of Cognitive Science
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• v.22 no.4
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• pp.385-404
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• 2011

We examined how emotional background stimuli influence focused attention in a flanker task. An IAPS picture was presented for 1,000ms in advance, then a target and two flanker letters were presented against the IAPS picture for 200ms(Experiment 1). The flanking stimuli were simultaneously presented on the left and right sides of the target stimulus with distance of $0.5^{\circ}C$, $1^{\circ}C$, or $1.5^{\circ}C$ visual angle. We investigated the flanker compatibility effect that identification of target would be faster when they were flanked by identical(compatible) stimuli than when they were flanked by different(incompatible) stimuli. Results of Experiment 1 revealed that the flanker compatibility effect depended not only on the distance of flankers but also on the valence of a background IAPS pictures. Positive and neutral pictures showed distance effect that the flanker compatibility effect was decreased as the farther the distance was, while negative pictures showed no di stance effect. Positive and neutral pictures showed compatibility effects at all distance conditions, but negative pictures didn't showed compatibility effect at $1.5^{\circ}C$ distance condition. In Experiment 2, the SOA(Stimulus Onset Asynchrony) between the picture and the stimuli of flanker task was manipulated. The flanking stimuli were presented simultaneously on the left and right sides of the target stimulus with a distance of either $0.5^{\circ}C$ or $1.5^{\circ}C$ visual angle. The results of Experiment 2 showed that flanker compatibility effect depends on SOA. At long SOA(2800ms), negative pictures showed no distance effect, but positive or neutral pictures did. All valence conditions of background pictures showed compatibility effects at $0.5^{\circ}C$ distance condition, but didn't showed compatibility effect at $1.5^{\circ}C$ distance condition. At short SOA(100ms), all valence conditions of background pictures showed distance effect, and showed compatibility effects with the exception of negative background pictures at $1.5^{\circ}C$ distance condition. These findings suggest that the scope of visual attention becomes narrower when viewing negative emotional stimuli and becomes broadened when viewing positive emotional stimuli. The narrowed scope of attention in negative emotion lasts longer, while the broaden scope of attention in positive emotion lasts shorter.

• Science of Emotion and Sensibility
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• v.18 no.3
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• pp.35-48
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• 2015

It is frequently found in daily life that people who experience good luck as lottery winners try to improve their background (e.g., home, car) but it has not been empirically validated why they do that. Present research attempts to explore the prediction that people who experience good luck expand the scope of attention to background and those who undergo bad luck shrink the scope of attention to adjacent objects. Findings from Experiment 1a indicate that participants who experienced good luck (won the rock-paper-scissors game) paid more attention to background and performed worse in the "find the hidden picture" (below FHP) task while those who underwent bad luck (lost the rock-paper-scissors game) paid more attention to objects, leading to better performance in the FHP task. It is also found in Experiment 1a that, if people washed their hands after experiencing good or bad luck, the opposite result occurred. Experiment 1b confirmed that the rock-paper-scissor game manipulated good and bad luck successfully and did not influence self-control. Experiment 2 shows that people who strongly believe in good luck performed poorly in FHP task while those who do not believe in good luck performed well in FHP task. Overall, three experiments support the proposed research hypotheses. Implications of the study findings for cognitive psychology and related fields including consumer and sports psychology are discussed.

• ETRI Journal
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• v.46 no.3
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• pp.526-537
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• 2024

Monitoring fetal growth in utero is crucial to anomaly diagnosis. However, current computer-vision models struggle to accurately assess the key metrics (i.e., head circumference and occipitofrontal and biparietal diameters) from ultrasound images, largely owing to a lack of training data. Mitigation usually entails image augmentation (e.g., flipping, rotating, scaling, and translating). Nevertheless, the accuracy of our task remains insufficient. Hence, we offer a U-Net fetal head measurement tool that leverages a hybrid Dice and binary cross-entropy loss to compute the similarity between actual and predicted segmented regions. Ellipse-fitted two-dimensional ultrasound images acquired from the HC18 dataset are input, and their lower feature layers are reused for efficiency. During regression, a novel region of interest pooling layer extracts elliptical feature maps, and during segmentation, feature pyramids fuse field-layer data with a new scale attention method to reduce noise. Performance is measured by Dice similarity, mean pixel accuracy, and mean intersection-over-union, giving 97.90%, 99.18%, and 97.81% scores, respectively, which match or outperform the best U-Net models.