• Title/Summary/Keyword: Feature modification

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Factors Affecting Consumer Intention on QR Payment of Mobile Banking: A Case Study in Indonesia

  • KOSIM, Krisananda Putera;LEGOWO, Nilo
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.5
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    • pp.391-401
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    • 2021
  • Technological developments facilitate payment transactions. In 2020, Bank Indonesia issued a regulation that supports QR payments using the Indonesian Standard Quick Response Code (QRIS). PT ABC is one of the banks that launched a QR payment feature on mobile banking with QRIS standards to make it easier for customers to make payment transactions at various merchants. In its implementation, the interest of QR payment users still tends to be small, so an analysis of the interests of QR payment users is carried out. The purpose of this study is to analyze the factors that influence user interest by using a modified UTAUT model. The UTAUT model was modified by adding variables to perceived trust, perceived risk, perceived regulatory support, and promotional benefits. The population taken is the company's customers in the DKI Jakarta area and it takes 403 samples for this case study. The results of empirical analysis show that 8 out of 12 hypotheses are considered proven where business expectations, social influence, perceived trust, perceived risk, perceptions of regulatory support, promotion benefits, age-moderated performance expectations, and age-moderate effort expectations have a significant effect on behavioral intentions, while performance expectations, facilitation conditions, business expectations are moderated by experience and social influence.

Research Trend on Diabetes Mobile Applications: Text Network Analysis and Topic Modeling (당뇨병 모바일 앱 관련 연구동향: 텍스트 네트워크 분석 및 토픽 모델링)

  • Park, Seungmi;Kwak, Eunju;Kim, Youngji
    • Journal of Korean Biological Nursing Science
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    • v.23 no.3
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    • pp.170-179
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    • 2021
  • Purpose: The aim of this study was to identify core keywords and topic groups in the 'Diabetes mellitus and mobile applications' field of research for better understanding research trends in the past 20 years. Methods: This study was a text-mining and topic modeling study including four steps such as 'collecting abstracts', 'extracting and cleaning semantic morphemes', 'building a co-occurrence matrix', and 'analyzing network features and clustering topic groups'. Results: A total of 789 papers published between 2002 and 2021 were found in databases (Springer). Among them, 435 words were extracted from 118 articles selected according to the conditions: 'analyzed by text network analysis and topic modeling'. The core keywords were 'self-management', 'intervention', 'health', 'support', 'technique' and 'system'. Through the topic modeling analysis, four themes were derived: 'intervention', 'blood glucose level control', 'self-management' and 'mobile health'. The main topic of this study was 'self-management'. Conclusion: While more recent work has investigated mobile applications, the highest feature was related to self-management in the diabetes care and prevention. Nursing interventions utilizing mobile application are expected to not only effective and powerful glycemic control and self-management tools, but can be also used for patient-driven lifestyle modification.

Transcriptional and Epigenetic Regulation of Context-Dependent Plasticity in T-Helper Lineages

  • Meyer J. Friedman;Haram Lee;June-Yong Lee;Soohwan Oh
    • IMMUNE NETWORK
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    • v.23 no.1
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    • pp.5.1-5.28
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    • 2023
  • Th cell lineage determination and functional specialization are tightly linked to the activation of lineage-determining transcription factors (TFs) that bind cis-regulatory elements. These lineage-determining TFs act in concert with multiple layers of transcriptional regulators to alter the epigenetic landscape, including DNA methylation, histone modification and threedimensional chromosome architecture, in order to facilitate the specific Th gene expression programs that allow for phenotypic diversification. Accumulating evidence indicates that Th cell differentiation is not as rigid as classically held; rather, extensive phenotypic plasticity is an inherent feature of T cell lineages. Recent studies have begun to uncover the epigenetic programs that mechanistically govern T cell subset specification and immunological memory. Advances in next generation sequencing technologies have allowed global transcriptomic and epigenomic interrogation of CD4+ Th cells that extends previous findings focusing on individual loci. In this review, we provide an overview of recent genome-wide insights into the transcriptional and epigenetic regulation of CD4+ T cell-mediated adaptive immunity and discuss the implications for disease as well as immunotherapies.

A Study on Updating of Digital Map using Beacon GPS (Beacon GPS를 이용한 수치지도 갱신에 관한 연구)

  • Yun, Bu-Yeol;Moon, Doo-Youl;Hong, Soon-Heon
    • Journal of the Korean Geophysical Society
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    • v.9 no.4
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    • pp.387-395
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    • 2006
  • Nowadays, various digital maps on a reduced scale were drawn in Korea including the topographic series of a nation. Though these digital maps are drawn and revised by using aerial photograph or satellite image, there are some problems that it is difficult to revise or renew the topography and natural feature immediately which changes frequently. As the countermeasures of these problems we use GPS accumbency method, which provides user with convenience and accumbency accuracy which is required to revise and renew digital maps. But acquiring correct position by using GPS only may cause not a few errors because of environmental effect of satellite signal errors that GPS obtains. Although accumulated errors which is the major problem of existing method was diminished owing to the position signal received from satellite which is about 20,183km above, the area that can not receives the signal is occur such as woods and high-rise buildings space. And because of the GDOP (Geometry Dilution of Precision) of GPS satellite and the periodically changing orbit of the satellite, the position calculating problems occur. For settlement of these problems and accurate position determination, DGPS (Differential GPS) is indispensably needed. So, in this study, by adapting Radio Beacon Receiver for marine position determination which is the most convenience method of DGPS methods, we elevated accuracy of modification and renewal of digital map and, having wide application in various measurements, proposed the rapid measurement method about widespread area. In this study, wewant to propose the work scheme of rapid modification and renewal of digital map by using Beacon GPS which is comparatively cheap of all the DGPS methods and which makes it possible to measure independently.

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A Case Study on Art Therapy for the Behavior modification of Elementary School Children (초등학교 아동의 문제행동 수정을 위한 미술치료 사례 연구)

  • Shin, Hwa-Jeong
    • The Korean Journal of Elementary Counseling
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    • v.7 no.1
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    • pp.227-248
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    • 2008
  • This study aims to examine the effects of art therapy on challenging behavior of schoolchildren. For this purpose, I selected one class of 4th year student of S primary school, located at Jeongeup city, Jeonlabukdo, and selected 4 study subjects through examination of K-CBCL children. juvenile behavior evaluation scale, characters, school life and K - HTP test. With regard to procedure of this study, I carried out art therapy program at the art class for 60 minutes one time a week for 4 months, a total of 17 sessions from Apr. 3, 2007 to July 24, 2007. I made this program with some modification in reference to Arts Therapy Technique (Counpia Remote Training Center, 2005), Group Art Therapy (Choi Seon Nam. Kim Gap Sook. Jeon Jong Kuk, 2007) and the Effects of Peer Group Art Activity on Sociality Skill of Offensive Children (Park Ju Yeon. Lee Byeon In, 2005). For each child, I compared and analyzed the changes in score of K-CBCL children. juvenile behavior evaluation scale, behavior by K-HTP (dynamic house-wood-human figure test) analysis and by school life(KSD) image analysis before and after treatment. I also carried out qualitative analysis on behavioral feature of each child for each session. This study obtained the following conclusions. First, child A showed positive change in comparison before and after art treatment program of score K-CBCL children. juvenile behavior evaluation, K-HTP image test and school life. Since he was so active and wanted to obtain good evaluation from anyone that he frequently had quarrel with friends, spoke against others well and beaten others much but was changed and did not speak against others or beat. Second, child B showed clear difference in comparison before and after art treatment program of score K-CBCL children. juvenile behavior evaluation, but no significant difference in K-HTP image test and school life. However, I observed substantial changes. While he could not speak frankly to others, felt empty in mind and was offensive in personal relations, he was changed, did not have quarrel with others or speak against others that much and improved his relationship with friends or teachers. Third, child C showed positive change in score of K-CBCL children juvenile behavior evaluation after art therapy program. In comparison of K-HTP image test and school life treatment before and after treatment, he still longed for mothers in mind but found rather stable after treatment. Fourth, child D showed positive chance in score of K-CBCL children. juvenile behavior evaluation scale after art therapy program, but almost no changes in K-HTP image test. But he depicted good relationship and socializing with other friends in school life. While he could not carry his point due to social immaturity and felt depressed, he got more confident. This result of study showed that art therapy had positive effects on correction of schoolchildren.

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Video Segmentation Method using Improved Adaptive Threshold Algorithm and Post-processing (개선된 적응적 임계값 결정 알고리즘과 후처리 기법을 적용한 동영상 분할 방법)

  • Won, In-Su;Lee, Jun-Woo;Lim, Dae-Kyu;Jeong, Dong-Seok
    • Journal of Korea Multimedia Society
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    • v.13 no.5
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    • pp.663-673
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    • 2010
  • As a tool used for video maintenance, Video segmentation divides videos in hierarchical and structural manner. This technique can be considered as a core technique that can be applied commonly for various applications such as indexing, abstraction or retrieval. Conventional video segmentation used adaptive threshold to split video by calculating difference between consecutive frames and threshold value in window with fixed size. In this case, if the time difference between occurrences of cuts is less than the size of a window or there is much difference in neighbor feature, accurate detection is impossible. In this paper, Improved Adaptive threshold algorithm which enables determination of window size according to video format and reacts sensitively on change in neighbor feature is proposed to solve the problems above. Post-Processing method for decrement in error caused by camera flash and fast movement of large objects is applied. Evaluation result showed that there is 3.7% improvement in performance of detection compared to conventional method. In case of application of this method on modified video, the result showed 95.5% of reproducibility. Therefore, the proposed method is more accurated compared to conventional method and having reproducibility even in case of various modification of videos, it is applicable in various area as a video maintenance tool.

A Study on the Leading Phase Operation of Single Phase PWM Converter Train (단상PWM컨버터 차량의 진상운전에 관한 연구)

  • Kim, Baik
    • Journal of the Korean Society for Railway
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    • v.15 no.4
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    • pp.357-363
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    • 2012
  • This paper presents a new operation method for the single phase PWM(Pulse Width Modulation) converter train. Recently, the trains adopting the PWM converter have become the majority in the electric locomotives since there are distinct advantages over the predecessors, which can be operated at near unity power factor. However, a slight modification of the control scheme makes this kind of vehicles run in the region of leading power factor. Although this feature seems to be of no significant use by itself, the leading phase operation can improve the voltage profile and the line loss of the feeding systems is decreased by compensating the reactive power loss along the line when it considered together with the feeding systems. This method is even more economical and efficient comparing with the installation of SVC that is mainly used for this purpose since the train can become a movable compensator. With the conditions and some essential formula for the leading phase operation, a new power factor control algorithm has been proposed to implement this scheme. The results of simulation through SIMULINK model show that the proposed method is suitable enough for practical use.

LES for Turbulent Channel Flow with Blowing Velocity (분류유동이 있는 채널 난류유동의 LES 해석)

  • Na, Yang;Lee, Chang-Jin
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.35 no.8
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    • pp.699-705
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    • 2007
  • Recent experimental data shows that the noticeable feature of irregular roughened spots on the fuel surface occurs during the combustion test with PMMA/GOX in the hybrid rocket motor. The generation of these unexpected patterns is likely to be resulted from the disturbed boundary layer due caused by wall blowing which is intented to simulate the process of fuel vaporization. LES technique was implemented to investigate both the flow characteristics near fuel surface and the subsequent evolution of turbulence modified by the wall blowing. Simple channel geometry instead of circular grain configuration was used for the investigation without chemical reactions in order to allow for a focused examination on the near-wall behavior at the Reynolds number of 22,500. It was shown that the wall blowing pushed turbulent structures upwards making them tilted and this skewed displacement, in effect, left the foot prints of the structures on the surface. This change of kinematics may explain the formation of irregular isolated spots on the fuel surface observed in the experiment.

Study for Android Smartphone's Gallery Thumbnail Forensic Analysis (안드로이드 스마트폰의 갤러리 썸네일(Thumbnail)에 대한 포렌식 분석 방법에 관한 연구)

  • Yun, Daeho;Lee, Sang Jin
    • KIPS Transactions on Computer and Communication Systems
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    • v.6 no.1
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    • pp.31-42
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    • 2017
  • Thumbnail, the small sized graphic file such as JPEG or GIF, serves to help the users to be recognized as a rapidly helps to make it easier recognize while browsing the large sized graphic file. Gallery application, which is installed in a later version of the 4.4.x(Kitkat) Android smartphone records the generated time of graphic file in thumbnail metadata. Thumbnail can be used to draw up the timeline of user action about user's action such as creation, modification, deletion with original graphic file analysis. Also, take advantage of the features thumbnails are stored sequentially in a single thumbcache file, even if the thumbcache is deleted, we can restore the thumbnails. This paper illustrates the feature of thumbnail created by Android OS basic gallery app and methods for utilization in digital forensics.

Developing an Ensemble Classifier for Bankruptcy Prediction (부도 예측을 위한 앙상블 분류기 개발)

  • Min, Sung-Hwan
    • Journal of Korea Society of Industrial Information Systems
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    • v.17 no.7
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    • pp.139-148
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    • 2012
  • An ensemble of classifiers is to employ a set of individually trained classifiers and combine their predictions. It has been found that in most cases the ensembles produce more accurate predictions than the base classifiers. Combining outputs from multiple classifiers, known as ensemble learning, is one of the standard and most important techniques for improving classification accuracy in machine learning. An ensemble of classifiers is efficient only if the individual classifiers make decisions as diverse as possible. Bagging is the most popular method of ensemble learning to generate a diverse set of classifiers. Diversity in bagging is obtained by using different training sets. The different training data subsets are randomly drawn with replacement from the entire training dataset. The random subspace method is an ensemble construction technique using different attribute subsets. In the random subspace, the training dataset is also modified as in bagging. However, this modification is performed in the feature space. Bagging and random subspace are quite well known and popular ensemble algorithms. However, few studies have dealt with the integration of bagging and random subspace using SVM Classifiers, though there is a great potential for useful applications in this area. The focus of this paper is to propose methods for improving SVM performance using hybrid ensemble strategy for bankruptcy prediction. This paper applies the proposed ensemble model to the bankruptcy prediction problem using a real data set from Korean companies.