• ETRI Journal
• /
• v.43 no.2
• /
• pp.272-287
• /
• 2021

This article presents a multi-dimensional spatial pattern analysis of crime events in San Francisco. Our analysis includes the impact of spatial resolution on hotspot identification, temporal effects in crime spatial patterns, and relationships between various crime categories. In this work, crime prediction is viewed as a classification problem. When predictions for a particular category are made, a binary classification-based model is framed, and when all categories are considered for analysis, a multiclass model is formulated. The proposed crime-prediction model (HotBlock) utilizes spatiotemporal analysis for predicting crime in a fixed spatial region over a period of time. It is robust under variation of model parameters. HotBlock's results are compared with baseline real-world crime datasets. It is found that the proposed model outperforms the standard DeepCrime model in most cases.

• The Korean Journal of Applied Statistics
• /
• v.15 no.1
• /
• pp.33-43
• /
• 2002

Various kinds of estimation methods have been developed for imputation of categorical missing data. They include category method, logistic regression, and association rule. In this study, we propose two fusions algorithms based on both neural network and voting scheme that combine the results of individual imputation methods. A Mont-Carlo simulation is used to compare the performance of these methods. Five factors used to simulate the missing data pattern are (1) input-output function, (2) data size, (3) noise of input-output function (4) proportion of missing data, and (5) pattern of missing data. Experimental study results indicate the following: when the data size is small and missing data proportion is large, modal category method, association rule, and neural network based fusion have better performances than the other methods. However, when the data size is small and correlation between input and missing output is strong, logistic regression and neural network barred fusion algorithm appear better than the others. When data size is large with low missing data proportion, a large noise, and strong correlation between input and missing output, neural networks based fusion algorithm turns out to be the best choice.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2018.10a
• /
• pp.178-179
• /
• 2018

Recently, methods of using machine learning in artificial intelligence such as autonomous navigation and speech recognition have been actively studied. Classical image processing methods such as classical boundary detection and pattern recognition have many limitations in order to recognize a specific object or area in a digital image. However, when a machine learning method such as deep-learning is used, Can be obtained. However, basically, a large amount of learning data must be secured for machine learning such as deep-learning. Therefore, it is difficult to apply the machine learning for area classification when the amount of data is very small, such as aerial photographs for environmental analysis. In this study, we apply a transfer-learning technique that can be used when the dataset size of the input image is small and the shape of the input image is not included in the category of the training dataset.

• Journal of the Korea Computer Industry Society
• /
• v.2 no.7
• /
• pp.945-952
• /
• 2001

In consequence of expansion of internet users, electronic commerce is becoming a new prototype for marketing and sales, arid most of electronic commerce sites or internet shopping malls provide a rich source of information and convenient user interfaces about the organizations customers to maintain their patrons. One of the convenient interfaces for users is service to recommend products. To do this, they must exploit methods to extract and analysis specific patterns from purchasing information, behavior and market basket about customers. The methods are association rules and sequential patterns, which are widely used to extract correlation among products, and in most of on-line electronic commerce sites are executed with users information and purchased history by category-oriented. But these can't represent the diverse correlation among products and also hardly reflect users' buying patterns precisely, since the results are simple set of relations for single purchased pattern. In this paper, we propose an efficient mining technique, which allows for multiple purchased patterns that are category-independent and have relationship among items in the linked structure of single pattern items.

• Korean Journal of Applied Biomechanics
• /
• v.13 no.1
• /
• pp.73-94
• /
• 2003

The purpose of this investigation was to analyze A kinematic analysis of the Kuzushi-arm motion when performing Morote-Seoinage in judo who was 5 females university representative judokas of light weight category in judo, and filmed on video cameras(60field/s). The data of this study digitizied by KWON3D 2.1 program computed the average and standard deviation calculated individual 5 trials with Programing Lab view 6i. From the data analysis & discussion, the following conclusions were drawn : 1) distance variable of attacking hand arm in kuzushi motion Left right(X direction) displacement variable was all of A, B, C pattern with moving left to right and leaning. Strip of displacement variable was ordo. to C(55.6cm), A(53.3cm), B(43.9cm) pattern, C pattern largely leaned to left Front Rear(Y direction) displacement variable was different A($131.3cm{\pm}3.1cm$), B($128.7{\pm}4.0cm$) and C(111.0cm) on ready position, 3 pattern leaned to rear direction. Strip of displacement was order to B(43.4cm), A(41.1cm) and C pattern(28.3cm). Up down(Z direction) displacement variable was all of A, B, C pattern leaned to up in the Kuzushi-phase and leaned to down in the Kake-phase. Strip of displacement was order to A(83.9cm), B(80.4cm), C pattern(71.9cm). 2) Shoulder joint angle variable Flexion and extension Ready position' angle was A($138.3{\pm}4.9^{\circ}$), B($142.9{\pm}3.7^{\circ}$) and C($164.5^{\circ}$) pattern, strip of flexion extension was order to C($80.9^{\circ}$), A($79.9^{\circ}$) and B($39.0^{\circ}$) pattern, greatly C pattern had largely angle change. Adduction and abduction : B and C pattern's angle change were adduction and abduction in the Kuzushi-phase after adduction in the Kake phase, A pattern's angle change was abduction in the Kuzushi-phase after adduction in the Kake phase. internal and external rotation : 3 pattern were internal rotation in the Tsukuri phase and external rotation in the Kake phase. After B and C pattern were external rotation and A pattern was internal rotation. 3) Elbow joint angle variable Flexion and extension 3 pattern's ready position angle were A($142.0{\pm}4.4^{\circ}$), B($123.5{\pm}5.5^{\circ}$) and C($105.5^{\circ}$) and flexion. Strip of flexion extension were order to A($57.9^{\circ}$), C($34.6^{\circ}$) and B($25.2^{\circ}$) pattern.

• Journal of Forest and Environmental Science
• /
• v.28 no.2
• /
• pp.75-83
• /
• 2012

An explanatory survey was conducted to assess preference and consumption pattern of horticultural species, their sources, location-wise planting preferences and diversity of these species in the rural homestead forest of the offshore island of Bangladesh. Assessment was done through multistage random sampling. Based on homestead size respondents were categorized into small (<0.05 ha), medium (0.05-0.25 ha) and large (>0.25 ha) and twenty from each category were selected randomly for the study. The study revealed that most of the farmer (75.5%) preferred to plant fruit tree species for future plantation followed by timber species (62.2%). But fruit-bearing plants were being gradually replaced by some exotic timber species such as Swietenia mahagoni, Acacia auriculiformis, Tectona grandis, Eucalyptus spp., etc. Diversity and abundance of fruit species was found higher in almost all homestead. A total of 41 horticultural species were identified and seven horticultural species among them were recognized as the most preferred ones in the study area. Consumption pattern was chiefly to meet the nutritional demand and to gain a quick monetary benefit. Average annual income from horticultural species was 7,183.33 Taka (US$102).

• Journal of Korean Medical classics
• /
• v.23 no.6
• /
• pp.51-72
• /
• 2010

The Jeokseokji-uyeoryang-tang(赤石脂禹餘糧湯) text of "Sang-hanron(傷寒論)" is adopted in the chapter of So-eumin Interior Disease Pattern in "Dong-uisusebowon(東醫壽世保元)". In this study, I have attempted to analyze the Jeokseokji-uyeoryang-tang(赤石脂禹餘糧湯) texts for the purpose of understanding the So-eumin Interior Disease Pattern thoroughly. In specific, Ijema(李濟馬) stated that the Simhabigyeong(心下痞硬) symptom of the Jeokseokji-uyeoryang-tang(赤石脂禹餘糧湯) text is identical to the symptoms of other conditions that apply Sasimtang(瀉心湯). Which means that the disease pattern of Jeokseokji-uyeoryang-tang(赤石脂禹餘糧湯) is a intensified condition of that of Sasimtang(瀉心湯). Next, unlike Jang Jung-gyeong(張仲景) and other annotators of "Sang-hanron(傷寒論)", Ijema(李濟馬) did not perceive Ijungtang(理中湯) to manage the central cho(中焦). Instead, he perceived it appropriate for Tae-eumbyeong(太陰病_disease of Tae-eum), bringing the meaning of Jeokseokji-uyeoryang-tang(赤石脂禹餘糧湯) into the category of Sameumbyeong(三陰病_disease of the three eum). With this, he made it possible to compare and analyze the texts based on the Sameum/Samyang(三陰三陽) theory. Lastly, Ijema(李濟馬) perceived the symptoms of Jeokseokji-uyeoryang-tang(赤石脂禹餘糧湯) as So-eum pattern, and categorized it into Tae-eum pattern. Following this, a comprehensive review of Ijema(李濟馬)'s unique understanding of the Jeokseokji-uyeoryang-tang(赤石脂禹餘糧湯) text and its implications were discussed. This part is not included in this article, however, and will be exclusively dealt with in a subsequent article.

• The Journal of the Korea Contents Association
• /
• v.2 no.1
• /
• pp.68-76
• /
• 2002

Clustering is representative method of components classification. But, previous clustering method that use cohesion and coupling can not be effective, because design pattern has consisted by relation between classes. In this paper, we classified design patterns with special quality of pattern structure. Classification by clustering had expressed higher correctness degree than classification by facet. Therefore, can do that it is effective that classify design patterns using clustering algorithms that is automatic classification method. When we are searching design patterns, classification of design patterns can compare and analyze similar patterns because similar patterns is saved to same category. Also we can manage repository efficiently because of using and storing link information of patterns.

• Proceedings of the Korean Institute of Interior Design Conference
• /
• 2007.05a
• /
• pp.176-180
• /
• 2007

The stage space in theatre for the performance of a play requires two aspects of the physical space for a play and the image as the background or the theme of a play. This research focuses on the scene design that creates the background or the theme of a play and communicates it to the audience. The scene design is composed of various design elements of space and objects as the properties of a play. Design elements and the objects are the design languages in various form; plane, three-dimensional, multi-dimensional form. These design language have the significant meaning as a sign like human language. The scene design is completed with rhetorical expression for communication in theatre. This research defines the category of meaning that design elements of scene design can create and the rhetorical expression of the scene design language. King Lear directed by Robert G. Anderson was analyzed with the category of design elements as a sign and the pattern of the rhetorical expression. The scene design for a play is completed effectively by the rhetorical expression of design elements as the design language for communication with the audience in theatre.

• Korean Institute of Interior Design Journal
• /
• v.16 no.3 s.62
• /
• pp.21-29
• /
• 2007

The communication in a play has a dual structure, which is composed of the communications within a play and in a theatre space. This research focuses on the scene design that creates the background or the theme of a play and communicates theme of a play to the audience. A scene design of a theatre has meta-linguistic aspects, which is the image or mood as the theme of a play. The scene design is composed of various design elements of space and objects as the properties of a play. Design elements and the objects are the design languages in various form; plane, three-dimensional, multi-dimensional form. These design languages have the significant meanings as signs like human language. The play works chooses the rhetorical expression to arouse the audience's sympathy. The scene design is completed with rhetorical expression for communication in theatre too. This research defines the category of meanings that design elements of scene design can create and the rhetorical expression of the scene design language. King Lear directed by Robert G. Anderson was analyzed with the category of design elements as a sign and the pattern of the rhetorical expression. The scene design for a play is completed effectively by the rhetorical expression of design elements as the design language for the communication with the audience in theatre.