• 한국의류학회지
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• 제48권1호
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• pp.172-191
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• 2024

This study investigated how the visual and verbal presentation format of haptic information on apparel products in online stores affects consumers' imagery information processing. This includes the quantity and vividness of mental imagery, the ease of evoking mental imagery, and the evocation of imagination imagery. Additionally, the study explored consumer satisfaction with the information and online store. The study also tested a conceptual model to examine the effects of three imagery types on imagination imagery (as elaborated imagery) and how this imagination imagery affects consumer satisfaction. Employing a 2 × 3 × 2 between-subjects factorial design, twelve one-page websites were created for the experiment. 528 women in their 20s and 30s were randomly assigned to one of the 12 treatment conditions and answered the questionnaire. The results demonstrated significant differences in the three types of mental imagery, consumers' evocation of imagination imagery, and their satisfaction with information and online stores based on presentation format. The SEM analysis revealed that the quantity and vividness of mental imagery influenced the evocation of imagination imagery, affecting consumers' satisfaction with the information. These findings suggest that online retailers must provide close-up pictures or descriptive text of apparel products to elicit positive consumer responses.

• 대한화학회지
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• 제55권5호
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• pp.846-856
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• 2011

이 연구에서는 중학교 1학년 과학영재들의 비유 만들기의 각 단계에서 나타나는 심상적 사고의 특성을 심상적 정보처리 과정의 측면에서 분석하였다. 연구 결과, 과학영재들의 비유 만들기 과정에서 이미지 산출, 이미지 조작, 이미지 표현의 심상적 정보처리 과정이 나타났다. 또한, 과학영재들은 비유 만들기 과정에서 지각 심상, 기억 심상, 상상 심상의 세 가지 유형의 심상을 활용하는 것으로 나타났으며, 활용한 심상의 유형에 따라 심상적 정보처리 과정에 차이가 있었다. 이를 바탕으로 비유 만들기에서 활용한 심상의 유형에 따른 심상적 정보처리 모델을 제안하였다. 이 연구의 결과는 비유적 사고와 심상적 사고의 상호 작용을 강조함으로써 과학영재의 심상적 사고를 촉진할 수 있는 비유 만들기 전략의 효과적인 활용 방안을 마련하는데 유용한 시사점을 제공할 수 있을 것이다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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• pp.286-289
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• 2005

Recently, in Korea, recognizing the importance of satellite imagery and a national project, the development of satellite providing satellite imagery information of 1m high resolution has been carried out. As the application of satellite. imagery information is expanded to the national land, the environment and geographical information, etc, the necessity of integrated management of satellite imagery information increases. Unfortunately, in case of Korea, currently, the results that institutes for satellite imagery processing produce with satellite imagery have been individually managed. Integrated Management of Satellite Imagery Information project which is being promoted by ETRI (Electronics and Telecommunication Research Institute) in Korea will provide the solutions for the above mentioned problems. In this research work, we designed standard metadata for integrated management of satellite imagery information in consideration of international and national standard.

• Asia Marketing Journal
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• 제22권2호
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• pp.59-85
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• 2020

Combining prior theories on innovation newness with information processing style (imagery vs. analytical), this study presents a theoretical framework; develops hypotheses; and makes predictions on how analytical versus imagery ads influence consumers differently depending on the newness level of products. The study shows that consumers are more likely to evaluate RNPs (radically-innovative new products) positively when they are advertised with imagery cues. Compared with analytical advertisements, imagery advertisements increased advertising effectiveness, product evaluation, and purchase intention of RNPs. These effects were demonstrated by using stimuli from two product categories consisting of washing machines and cars. In particular, in advertisement for RNPs, verbal description that induced imagery processing, such as "picture yourself using this product," was more effective in generating favorable responses, compared to verbal description that induced analytical processing, such as explanation of product attributes. This difference was present for RNPs, but not for INPs (incrementally-innovative new products). INPs are continuous innovations that are easier to understand, thus imagery ads do not provide additional advantage for consumers in understanding the innovation, compared to analytical ads. In RNPs, imagery ads can highlight new benefits that may have been neglected or undervalued by consumers, leading to greater message persuasiveness. Implications for marketing of RNPs are discussed.

• 대한원격탐사학회지
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• 제19권5호
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• pp.393-402
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• 2003

In times of the civil uses of commercialized high-resolution satellite imagery, applications of remote sensing have been widely extended to the new fields or the problem solving beyond traditional application domains. Transportation application of this sensor data, related to the automatic or semiautomatic road extraction, is regarded as one of the important issues in uses of remote sensing imagery. Related to these trends, this study focuses on automatic road extraction using Gradient Direction Profile Algorithm (GDPA) scheme, with IKONOS panchromatic imagery having 1 meter resolution. For this, the GDPA scheme and its main modules were reviewed with processing steps and implemented as a prototype software. Using the extracted bi-level image and ground truth coming from actual GIS layer, overall accuracy evaluation and ranking error-assessment were performed. As the processed results, road information can be automatically extracted; by the way, it is pointed out that some user-defined variables should be carefully determined in using high-resolution satellite imagery in the dense or low contrast areas. While, the GDPA method needs additional processing, because direct results using this method do not produce high overall accuracy or ranking value. The main advantage of the GDPA scheme on road features extraction can be noted as its performance and further applicability. This experiment study can be extended into practical application fields related to remote sensing.

• Journal of Information Processing Systems
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• 제20권4호
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• pp.442-457
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• 2024

The issues were studied of an open-source scaling drone imagery platform, called WebODM. It is known that processing drone images has a high demand for resources because of many preprocessing and post-processing steps involved in image loading, orthophoto, georeferencing, texturing, meshing, and other procedures. By default, WebODM allocates one node for processing. We explored methods to expand the platform's capability to handle many processing requests, which should be beneficial to platform designers. Our primary objective was to enhance WebODM's performance to support concurrent users through the use of container technology. We modified the original process to scale the task vertically and horizontally utilizing the Kubernetes cluster. The effectiveness of the scaling approaches enabled handling more concurrent users. The response time per active thread and the number of responses per second were measured. Compared to the original WebODM, our modified version sometimes had a longer response time by 1.9%. Nonetheless, the processing throughput was improved by up to 101% over the original WebODM's with some differences in the drone image processing results. Finally, we discussed the integration with the infrastructure as code to automate the scaling is discussed.

• 감성과학
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• 제8권3호
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• pp.177-187
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• 2005

본 연구는 광고디자인에 있어서 광고에 포함되어 있는 정보의 양의 광고수용자의 광고평가에 어떠한 영향을 미치는지를 검증하였다. 기존 연구는 주로 자원-부합이론(Resoruce-matching theory)의 관점에서 광고에 포함되어 있는 외부정보의 효과만을 주로 검증하였다. 그러나 본 연구에서는 이와는 달리 광고에 제시된 브랜드명 의해 유발된 심상정보처리와 같은 내부정보의 정보량이 어떻게 광고수용자의 광고평가효과를 조절하는지를 두가지의 실험을 통하여 검증하였다. 실험결과에 따르면 광고에서 제시된 브랜드명은 광고수용자가 인지적 잉여자원이 있는 경우 심상정보처리를 유발시키고 이러한 심상정보처리과정이 명성브랜드일 경우에는 광고에 대한 평가를 긍정적으로 유도하는 반면 비명성브랜드의 경우에는 부정적으로 유발하는 것으로 나타났다. 이러한 연구의 결과는 광고디자인프로세스에서 명성브랜드라면 광고효과를 증대시키기 위해 제품관련정보를 많이 내포해야 할 필요는 없다는 점을 시사하고 있다 오히려, 이미 소비자의 인식속에 구축되어 있는 브랜드자산을 통해 심상정보처리와 같은 내부정보탐색을 할 수 있는 여지를 마련하도록 광고디자인을 설계하는 것이 바람직하다고 할 수 있다. 반대로 비명성브랜드의 경우에는 광고효과를 극대화하기 위하여 제품관련정보를 다양화해야 할 필요가 있다. 이러한 결과가 향후 광고디자이너들이 광고디자인을 수행하는 프로세스상에서 광고수용자들에게 광고효과를 극대화하기 위해 어떻게 광고디자인을 수행해야 할 것인지에 도움을 되기를 바란다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권8호
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• pp.3917-3941
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• 2019

The recent interest in artificial intelligence and machine learning has partly contributed to an interest in the use of such approaches for hyperspectral remote sensing (HRS) imagery classification, as evidenced by the increasing number of deep framework with deep convolutional neural networks (CNN) structures proposed in the literature. In these approaches, the assumption of obtaining high quality deep features by using CNN is not always easy and efficient because of the complex data distribution and the limited sample size. In this paper, conventional handcrafted learning-based multi features based on expert knowledge are introduced as the input of a special designed CNN to improve the pixel description and classification performance of HRS imagery. The introduction of these handcrafted features can reduce the complexity of the original HRS data and reduce the sample requirements by eliminating redundant information and improving the starting point of deep feature training. It also provides some concise and effective features that are not readily available from direct training with CNN. Evaluations using three public HRS datasets demonstrate the utility of our proposed method in HRS classification.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.1131-1133
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• 2003

Spatial image processing software requires various user interactions to make a plan, prepare necessary data such as images, vectors, ancillary data and user-defined data, execute functions according to pre-defined procedures, analyze and store the results. In this manner, overall processes are controlled by user interactions. In this paper, we propose visual modeler which has the automated spatial image processing technique to minimize user interactions and re -use repeatable procedure. The proposed visual modeler is designed to use inter-operable components proposed by OpenGIS consortium as well as conventional COM components.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2002년도 Proceedings of International Symposium on Remote Sensing
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• pp.775-779
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• 2002

Currently, high-resolution satellite imagery such as KOMPSAT and IKONOS has been tentatively utilized to various types of urban engineering problems such as transportation planning, site planning, and utility management. This approach aims at software development and followed applications of remotely sensed imagery to transportation geographic analysis. At first, GDPA (Gradient Direction Profile Algorithm) and main modules in it are overviewed, and newly implemented results under MS visual programming environment are presented with main user interface, input imagery processing, and internal processing steps. Using this software, road network are automatically generated. Furthermore, this road network is used to transportation geographic analysis such as gamma index and road pattern estimation. While, this result, being produced to do-facto format of ESRI-shapefile, is used to several types of road layers to urban/transportation planning problems. In this study, road network using KOMPSAT EOC imagery and IKONOS imagery are directly compared to multiple road layers with NGI digital map with geo-coordinates, as ground truth; furthermore, accuracy evaluation is also carried out through method of computation of commission and omission error at some target area. Conclusively, the results processed in this study is thought to be one of useful cases for further researches and local government application regarding transportation geographic analysis using remotely sensed data sets.