• ETRI Journal
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• v.33 no.4
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• pp.589-599
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• 2011

This paper presents an image description and matching scheme using synthetic features for a recommendation service. The recommendation service is an example of smart search because it offers something before a user's request. In the proposed extraction scheme, an image is described by synthesized spatial and statistical features. The spatial feature is designed to increase the discriminability by reflecting delicate variations. The statistical feature is designed to increase the robustness by absorbing small variations. For extracting spatial features, we partition the image into concentric circles and extract four characteristics using a spatial relation. To extract statistical features, we adapt three transforms into the image and compose a 3D histogram as the final statistical feature. The matching schemes are designed hierarchically using the proposed spatial and statistical features. The result shows that each feature is better than the compared algorithms that use spatial or statistical features. Additionally, if we adapt the proposed whole extraction and matching scheme, the overall performance will become 98.44% in terms of the correct search ratio.

• Journal of Korean Association for Spatial Structures
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• v.8 no.6
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• pp.15-22
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• 2008

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.1
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• pp.61-68
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• 2021

The development of the fourth industry has enabled users to quickly share a lot of data online. We can analyze big data on information about tourist attractions and users' experiences and opinions using artificial intelligence. It can also analyze the association between characteristics of users and types of tourism. This paper analyzes individual characteristics, recommends customized tourist sites and proposes a system to provide the sacred texts of recommended tourist sites as AR services. The system uses machine learning to analyze the relationship between personality type and tourism type preference. Based on this, it recommends tourist attractions according to the gender and personality types of users. When the user finishes selecting a tourist destination from the recommendation list, it visualizes the information of the selected tourist destination with AR.

• The Journal of Society for e-Business Studies
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• v.21 no.3
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• pp.15-28
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• 2016

This paper proposes a system recommending spatial information what user wants with collecting and analyzing tweets around the user's location by using the GPS information acquired in mobile. This system has built an emotion dictionary and then derive the recommendation score of morphological analyzed tweets to provide not just simple information but recommendation through the emotion analysis information. The system also calculates distance between the recommended tweets and user's latitude-longitude coordinates and the results showed the close order. This paper evaluates the result of the emotion analysis in a total of 10 areas with two keyword 'Restaurants' and 'Performance.' In the result, the number of tweets containing the words positive or negative are 122 of the total 210. In addition, 65 tweets classified as positive or negative by analyzing emotions after a morphological analysis and only 46 tweets contained the meaning of the positive or negative actually. This result shows the system detected tweets containing the emotional element with recall of 38% and performed emotion analysis with precision of 71%.

• Journal of Korea Spatial Information System Society
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• v.6 no.1 s.11
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• pp.59-71
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• 2004

Nearest neighbor query retrieves nearest located target objects, and is very frequently used in mobile environment. In this paper we propose a novel neatest neighbor query processing technique that is able to retrieve nearest located target object from the user who is continuously moving with a direction. The proposed method retrieves objects using the direction property of moving object as well as euclidean distance to target object. The proposed method is applicable to traffic information system, travel information system, and location-based recommendation system which require retrieving nearest located object.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.35 no.4
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• pp.103-114
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• 2019

From the "Recommendation on the Safeguarding of the Beauty and Character Landscapes and Sites"(1962) to the "ICOMOS-IFLA Document on Historic Urban Public Parks"(2017), 'the spatial safeguarding Concept of Cultural Heritage' in International Norms has manifested in various types. In this article, 24 types of International Norms that reflect 'the concept of Spatial Safeguarding in Cultural Heritage' and Korea legal system such as 'Historical and Cultural Environment' were analyzed in the following two aspects. The first aspect is 'Object Type to safeguard' and analyzed in four types such as 'Groups of buildings(A type)', 'Surrounding, Environment, Setting(B type)', 'Cultural landscape(C type)', 'Historic area and Historic towns(D type)'. The second aspect is 'Safeguarding value(analysis elements)' and analyzed in the following tree elements ; 'Landscape value' such as skyline, 'Intangible value' such as the functions of cultural customs, and 'Ecological value' that should preserve life itself. As a result of the study, 'the concept of Spatial Safeguarding in Cultural Heritage' including C and D type and three value which are trends of International Norms are reflected in Korea legal system, and concrete safeguarding methodology is also implemented systematically in case of ecological value. However, intangible values are not specific to the methodology in both International norms and Korea legal systems, and should be developed in the future.

• Journal of information and communication convergence engineering
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• v.18 no.1
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• pp.49-54
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• 2020

Speed enforcement is one of the major challenges in traffic safety. The increasing number of accidents and fatalities has led governments to respond by implementing an intelligent control system. For example, the Korean government implemented a speed camera system for maintaining road safety. However, many drivers still engage in speeding behavior in blackspot areas where speed cameras are not provided. Therefore, we propose a methodology to analyze the combined accident and speeding data to offer recommendations to maintain traffic safety. We investigate three factors: "section," "existing speed camera location," and "over speeding data." To interpret the results, we used the QGIS tool for visualizing the spatial distribution of the incidents. Finally, we provide four recommendations based on the three aforementioned factors: "investigate with experts," "no action," "install fixed speed cameras," and "deploy mobile speed cameras."

• KIPS Transactions on Software and Data Engineering
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• v.2 no.9
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• pp.615-620
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• 2013

With the development of smartphones, the number of applications for smartphone increases sharply. As a result, users need to try several times to find their favorite apps. In order to solve this problem, we propose a recommendation system to provide an appropriate app list based on the user's log information including time stamp, location, application list, and so on. The proposed approach learns three recommendation models including Naive-Bayesian model, SVM model, and Most-Frequent Usage model using temporal and spatial attributes. In order to figure out the best model, we compared the performance of these models with variant features, and suggest an hybrid method to improve the performance of single models.

• Industrial Engineering and Management Systems
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• v.6 no.1
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• pp.40-48
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• 2007

This study investigated the optimum positions and warning foreperiod for auditory signals with an experiment on spatial stimulus-response (S-R) compatibility effects. The auditory signals were presented at the front-right, front-left, rear-right, and rear-left positions from the subjects, whose reaction times and accuracies at different spatial mapping conditions were examined. The results showed a significant spatial stimulus-response compatibility effect in which faster and more accurate responses were obtained in the transversely and longitudinally compatible condition while the worst performance was found when spatial stimulus-response compatibility did not exist in either orientation. It was also shown that the transverse compatibility effect was found significantly stronger than the longitudinal compatibility effect. The effect of signal position was found significant and post hoc test suggested that the emergent warning alarm should be placed on the front-right position for right-handed users. The warning foreperiod prior to the signal presentation was shown to influence reaction time and a warning foreperiod of 3 s is found optimal for the 2-choice auditory reaction task.

• Journal of KIISE:Databases
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• v.31 no.2
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• pp.163-173
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• 2004

Recently, location-based services are becoming very Popular in mobile environments. In this paper, we propose a new association based prefetch algorithm (called by STAP) that efficiently supports information service based on the large quantity of spatial database in mobile environments. We apply the spatial-temporal relations that are meaningful for location-based queries in mobile environments. Moreover, STAP considers user's mobility and the weight of spatial data. The relation of services is a new aspect not considered in previous cache politics. So STAP is the first prefetch algorithm considering the spatial-temporal relations and thus the cache policy begins to gain a new dimension. We evaluate the performance of STAP and prove the efficiency of STAP.