• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.2
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• pp.168-175
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• 2023

In the era of the 4th Industrial Revolution, Logistic 4.0 using data-based technologies such as IoT, Bigdata, and AI is a keystone to logistics intelligence. In particular, the AI technology such as prognostics and health management for the maintenance of logistics facilities is being in the spotlight. In order to ensure the reliability of the facilities, Time-Based Maintenance (TBM) can be performed in every certain period of time, but this causes excessive maintenance costs and has limitations in preventing sudden failures and accidents. On the other hand, the predictive maintenance using AI fault diagnosis model can do not only overcome the limitation of TBM by automatically detecting abnormalities in logistics facilities, but also offer more advantages by predicting future failures and allowing proactive measures to ensure stable and reliable system management. In order to train and predict with AI machine learning model, data needs to be collected, processed, and analyzed. In this study, we have develop a system that utilizes an AI detection model that can detect abnormalities of logistics rotational equipment and diagnose their fault types. In the discussion, we will explain the entire experimental processes : experimental design, data collection procedure, signal processing methods, feature analysis methods, and the model development.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.141-143
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• 2021

The Activity patterns of animal species are difficult to access and the behavior of freely moving individuals can not be assessed by direct observation. As it has become large challenge to understand the activity pattern of animals such as dogs, and cats etc. One approach for monitoring these behaviors is the continuous collection of data by human observers. Therefore, in this study we assess the activity patterns of dog using the wearable sensors data such as accelerometer and gyroscope. A wearable, sensor -based system is suitable for such ends, and it will be able to monitor the dogs in real-time. The basic purpose of this study was to develop a system that can detect the activities based on the accelerometer and gyroscope signals. Therefore, we purpose a method which is based on the data collected from 10 dogs, including different nine breeds of different sizes and ages, and both genders. We applied six different state-of-the-art classifiers such as Random forests (RF), Support vector machine (SVM), Gradient boosting machine (GBM), XGBoost, k-nearest neighbors (KNN), and Decision tree classifier, respectively. The Random Forest showed a good classification result. We achieved an accuracy 86.73% while the detecting the activity.

• Journal of Korean Library and Information Science Society
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• v.20
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• pp.351-381
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• 1993

The purpose of this study is to analyze the various processes and patterns to build or synthesize class numbers in the 800 class of the Dewey Decimal Classification, Edition 20(1989). The results of the analysis are as follows: 1. The 800(Literature and rhetoric) class in the DDC system is the main class added analytico-synthetic principle positively to an enumerative scheme. 2. The facets to be a n.0, pplied in literature are language literary form literary period ; kind, scope, or medium ; notation 08(collection) or 09(criticism) literary feature, subject, author, etc. 3. In the 800 class, there are the five tables of precedence for literary forms aspects ; specific kinds of persons ; literary, period in relation to the aspects for works treating more than one literary form subforms, aspects and literary periods in the works treating a specific literary form. 4. The basic number synthesis of literary works proceeds through the various facets in the following sequence, as far as necessary for the item : base no. + literary form + literary time or period + kind, scope, or medium + notation 08 or 09 + subform + additional notation from T3C and other tables. 5. In view of the multiplicity of facets, their synthesis formulas take the following order : (1) Works about the literature : base no.(schedule) + language(T6) or form(T3B) (2) Works by or about individual author : base no.(schedule) + form (T3A) + period(schedule) + subform(T3A) (3) Works by or about more than one author, not restricted by language facet : base no.(schedule) + period(T1) ; base no.(schedule) + kind, scope, medium(T3B), or feature(T3C), or person(T5). (4) Works by or about more than one author, restricted by language facet : base no.(schedule) + form (T3B) + period(schedule) + subform(T3B) + notation 08 or 09(T3B) ; base no.(schedule) + notation 08 or 09(T3B) + 9(T3C) + area notation(T2) : base no.(schedule) + form (T3B) + notation 008 or 009(T3B) : base no.(schedule) + form (T3B) + kind, scope, medium(T3B) + notation 08 or 09(T3B) + period(schedule). (5) Affiliated literatures for which period numbers are not us base no.(schedule) + form (T3A or T3B), or notation 08 or 09(T3B) : base no.(schedule) + kind, scope, medium(T3B), feature(T3C), or person(T5) 6. The problems in the number building of the 800 class are the complexity and difficulty of number synthesis, the intrinsic weakness of from distinction and the inconvenience of retrieval inherent in the form class. In order to solve these problems, therefore, the citation orders and methods of DDC should be improved and synthesis patterns simplified from the point of view of its applicability and its usefulness in the "literature class".

• The Journal of Korean Academy of Sensory Integration
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• v.16 no.3
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• pp.1-10
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• 2018

Objective : The purpose of this study was to investigate smartphone addition and sensory processing character depend on gender for occupational therapy (OT) students, and to identify the correlation between smartphone addiction and sensory processing feature. Methods : Participants of this study were 168 (70 male/90 female) students majoring occupational therapy. Measurements in this study were a questionnaire about general information of subject, smartphone addiction scale, and adult/adolescent sensory profile. Data collection period was from November 2017 to March 2018. Methods for the data analysis included descriptive statistics, independent t-test and Pearson correlation of SPSS 22.0. Results : In term of the purpose of using smartphone, majority response was communication and gaming ranked in next. There were difference between male and female in the total smartphone addition, cyberspace-oriented relationship, withdrawal and tolerance. The result showed that all sensory processing are related with total smartphone addition (r = .236 ~ .603) for man. And for women, total smartphone addition is little related with the taste/smell processing (r= .290), visual processing (r= .324), touch processing (r= .214), low registration (r= .214), sensory sensitivity (r= .243), and sensory avoiding (r= .217). Conclusion : This study found that there is difference between male and female in terms of relation between smartphone addition and sensory processing feature according for occupational therapy students.

• Journal of Korean Society of Archives and Records Management
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• v.1 no.2
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• pp.159-183
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• 2001

The praying sentences of the script of Saddharmapundarika-sutra NO.5 which was made by prayer Bang-Ui, prince Ik-An, was investigated and the cover painting, Byonsangwha(Buddha's preaching painting), and letter style written in the script were discussed in this study. The cover painting on the script is known to be followed to the style of the cover painting as shown in a set of 7 rolls of Saddharma pundarika-sutra of the Horim Museum collection. It is not so difficult to say that the characteristics of cover painting of the script would be suceeded to those of scripts of the end of Koryo and the early Choseon Dynasty. Lotus and its surround was decorated with arabesque figure whose stems were drawn with golden paste and the arabesque figures were done with silver paste. However, for the expression of lotus and arabesque pattern the special feature of drawing style that was originated from the end of Koryo Dynasty to draw the outline with broad line and/or the hardness of drawing line became much more deepened than ever. It is not different to think that this characteristics should be those of Choseon Dynasty. On the Byeonsangwha(buddha's preaching painting) the painting of scattered flowers on stairs of Sumera-Mandala and the scheduled clouds (underseen from heaven) were as similar as to the Byeonsangwha style of the end of Koryo and the early Choseon Dynasty. However, the image of Shakyamuni and/or the halo(光背) is nearly same as the characteristics shown on the Beonsangwha of Saddharma pundarika-sutra of Nesosa' collection, a set of seven rolls which was completed in the 15th year of king Taejong(AD 1415). It is apparent that these characteristics are those of Choseon Dynasty. After king Chungsean in Koryo Dynasty, letter style of Chao Meng-Fu was shown in the script of late Koryo Dynasty as a new letter style.

• Journal of KIISE:Software and Applications
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• v.34 no.12
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• pp.1045-1055
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• 2007

Latent topic models are statistical models which automatically captures salient patterns or correlation among features underlying a data collection in a probabilistic way. They are gaining an increased popularity as an effective tool in the application of automatic semantic feature extraction from text corpus, multimedia data analysis including image data, and bioinformatics. Among the important issues for the effectiveness in the application of latent topic models to the massive data set is the efficient learning of the model. The paper proposes an accelerated learning technique for PLSA model, one of the popular latent topic models, by an incremental EM algorithm instead of conventional EM algorithm. The incremental EM algorithm can be characterized by the employment of a series of partial E-steps that are performed on the corresponding subsets of the entire data collection, unlike in the conventional EM algorithm where one batch E-step is done for the whole data set. By the replacement of a single batch E-M step with a series of partial E-steps and M-steps, the inference result for the previous data subset can be directly reflected to the next inference process, which can enhance the learning speed for the entire data set. The algorithm is advantageous also in that it is guaranteed to converge to a local maximum solution and can be easily implemented just with slight modification of the existing algorithm based on the conventional EM. We present the basic application of the incremental EM algorithm to the learning of PLSA and empirically evaluate the acceleration performance with several possible data partitioning methods for the practical application. The experimental results on a real-world news data set show that the proposed approach can accomplish a meaningful enhancement of the convergence rate in the learning of latent topic model. Additionally, we present an interesting result which supports a possible synergistic effect of the combination of incremental EM algorithm with parallel computing.

• Journal of Korea Multimedia Society
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• v.10 no.11
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• pp.1496-1506
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• 2007

The environment of web service has changed a great deal due to the progress of internet technology and positive participation of users. The established web service is static and passive, but the recent web service is becoming dynamic and active. Web 2.0 reflects current web service change well. The primary feature of web 2.0 is positive participation of users. Since the size of generated information is becoming larger, it is highly required to share the information fast and correctly. The technology to satisfy this need is web syndication and tagging in web 2.0. The web syndication makes feeds for another site or users to receive the content of web site. In addition, the tagging is the kernel of a information. Many internet users share rapidly the information through tag search. In this paper, we propose the efficient technique to improve the web 2.0 technology such as web syndication and tagging by using the data collection engine. Data collection engine has stored in a database, a user's Web site to use the information. and it has a user's Web site with access to updated data to collect. The experimental results show that our approach can improve the search speed up to 3.14 times better than the existing method and reduce the size of data up to 66% for building associated tags.

• Journal of computational fluids engineering
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• v.20 no.2
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• pp.23-36
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• 2015

The $2^{nd}$ generation ice accretion analysis program has been developed and validated for various icing conditions. The essential feature of the $2^{nd}$ generation code lies in its capability of handling general 3-D geometry and improved accuracy. The entire velocity fields are obtained based on Navier-Stokes equations in order to take the massively separated flow field into account. Unlike $1^{st}$ generation code, the droplet trajectories are calculated using Eulerian approach, which is adopted to yield appropriate collection efficiency even in the shadow region. For improved thermodynamic analysis on the surfaces, water film model and modified Messinger model are newly included in the present analysis. The ice shape for a given time step is obtained by considering the exact amount of ice accreted on the surface. Each module of the icing analysis code has been seamlessly integrated on the OpenFOAM platform. The developed code was validated against available experimental data for 2D airfoils and 3D DLR-F4. Due to the lack of experimental data, the computed results of DLR-F4 were compared with those obtained from FENSAP-ICE, which is state-of-the-art 3D icing analysis code. It was clearly shown that the present code produces comparable results to those of FENSAP-ICE, in terms of prediction accuracy and the capability of handling general 3-D geometries.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.11
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• pp.2359-2364
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• 2011

E-commerce is a kind of trade type between buyers and sellers rely on computer networks. Carried out according to certain standards of various business activities. e-commerce is based on modern information technology and network technology, financial electronic collection, management, information technology, business and trade information networks into one, aimed at logistics, capital flow and information flow of harmony and unity of the new trade, trade activities of the entire process, electronic, networking and digital. E-commerce has brought to the traditional ways of trading a huge impact, led to changes in economic structures, is a business revolution in the way and is recognized internationally as the 21st century is an important driver of economic development compared to current traditional companies. In this material, we first consider the current problem, analyze particular characteristics of clothing shopping mall to increase the purchasing power of customer. For these reasons, we describe the process for building the clothing site.

• KIPS Transactions on Computer and Communication Systems
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• v.9 no.10
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• pp.231-238
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• 2020

With a large number of documents appearing on the web, document-level novelty detection has become important since it can reduce the efforts of finding novel documents by discarding documents sharing redundant information already seen. A recent work proposed a convolutional neural network (CNN)-based novelty detection model with significant performance improvements. We observed that it has a restriction of using document-level information in determining novelty but assumed that the document-level information is more important. As a solution, this paper proposed two methods of effectively incorporating document-level information using a CNN-based novelty detection model. Our methods focus on constructing a feature vector of a target document to be classified by extracting relative information between the target document and source documents given as evidence. A series of experiments showed the superiority of our methods on a standard benchmark collection, TAP-DLND 1.0.