• Title/Summary/Keyword: qualitative features

Search Result 323, Processing Time 0.028 seconds

Construction of New Administrative Capital and Urban Dynamics Analyses (신행정수도의 건설과 도시동태성 분석)

  • 이만형;최남희
    • Korean System Dynamics Review
    • /
    • v.4 no.1
    • /
    • pp.69-91
    • /
    • 2003
  • Using qualitative methods hinged on urban dynamics models, the paper addresses major issues concerned with new administrative capital construction. It tries to summarize the existing debates on new administrative capital construction and reinterpret diverse interacting factors in terms of reinforcing or balancing feedback structure. The paper suggests that understanding up on the dynamic mechanism imbedded in circular causal loop diagrams is the key to set up appropriate proposals and action plans for the new administrative capital, as they would reveal complicated linkages between the Capital Region and the rest, in addition to the urban dynamic of new administrative capital. In the same context, the paper can confirm similar features reflected in the relocation of capital functions at Canberra, Australia and Berlin, Germany. It has paid special attention to the fact that both Australian and German governments altogether stress the positive feedback loops as they have overcome unprecedented political confrontation among rival cities: Basically, they have encouraged gives-and-takes among major stake-holders. These research findings indicate that the future of new administrative capital construction depends on consensus buildings that can accommodate socio-economic and territorial changes between pros and cons. Although further researches and validations are needed, the system approach presented in this paper could assist Korean decision-makers in developing robust and responsive policy initiatives under uncertainties.

  • PDF

The Qualitative Study on Outdoor Sportswear Purchase Behavior -Focusing on Functional Fabric Awareness Level and Benefits Sought- (아웃도어 스포츠웨어 구매행동에 관한 질적 연구 -기능성 인지수준과 추구 혜택을 중심으로-)

  • Rhee, Young-Ju;Lee, Eun-Ok
    • The Research Journal of the Costume Culture
    • /
    • v.19 no.5
    • /
    • pp.1088-1101
    • /
    • 2011
  • The purpose of this study was to examine the outdoor sportswear purchase behavior, outdoorwear sportswear brand preference, functional fabric awareness, and benefits sought. The research was performed through in-depth interview during February to March 2011. Data were collected from 10 consumers who had purchased outdoor sportswear and experienced camping in 6 months. First, the results from study showed that functionality/comfortability, design, color, and brand name were important factors in selecting outdoor sportswear. Offline stores were the main place to purchase, however, internet shopping mall and portal online community were another shopping channel as well. Second, respondents preferred imported outdoor sportswear brand to national brand. According to the study, the respondents trusted the imported outdoor sportswear quality based on the brand name, value, and brand history more than national brand. Third, consumers who had low functional fabric awareness were more likely to evaluate apparel products based on the brand name. Knowledge levels for textile functions were high in elastic, UV protection, air permeable, and antibacterial properties. The essential features for camping were water absorbing and quick dry, water resistance, wind proof, UV protection, and fire retardant properties. Finally the results showed that there were two sportswear benefit soughts: functionality and status ostentation.

Berthierine and Nontronite from Sangdong Tungsten Deposits (상동중석광산에서 산출되는 Berthierine과 Nontronite)

  • Kim, Soo Jin;Kim, Won-Sa;Chang, Se-Won
    • Journal of the Mineralogical Society of Korea
    • /
    • v.1 no.2
    • /
    • pp.104-116
    • /
    • 1988
  • Berthierine and Nontronite are firstly identified in the Sangdong tungsten ore deposits. Quantitative and qualitative analyses by EPMA and the studies using X-ray diffraction, transmission electron microscopy, and infrared absorption spectroscopy were done to characterize berthierine and nontronite. The data from berthierine are in good agreement with those from other localities. The structural data of the Sangdong berthierine are consistent with the orthorhombic, pseudo-hexagonal form which is more common in samples with high $SiO_2$ and low $Al_2O_3$ content. Geologic features suggest that the Sangdong berthierine is diagenetic in origin. However, nontronite might be a product of hydrothermal alteration after the tungsten mineralization.

  • PDF

Signal Typology and Decision Making Process Using Signals in Mobile Game Platform (모바일 게임 플랫폼에서의 시그널의 유형과 시그널을 이용한 의사결정과정)

  • Bae, Joonheui;Koo, Dong Mo
    • Journal of Korea Game Society
    • /
    • v.17 no.4
    • /
    • pp.117-128
    • /
    • 2017
  • This research is the qualitative research on signals that mobile game users use to solve asymmetric information of game quality. Based on signal theory, we gathered data using Netnography. The findings are four types of signals for mobile games: platform-based signals with high/low participation rate of consumers, game developing company-based signals with high/low participation rate of consumers. The features that mobile gamers make decisions using signals are the following. First, ranking and the number of download have initial standard. Second, game marketing platform can be one of signals. Finally, the preference of signals is different with the goals and using pattern of games.

Multiple Camera-based Person Correspondence using Color Distribution and Context Information of Human Body (색상 분포 및 인체의 상황정보를 활용한 다중카메라 기반의 사람 대응)

  • Chae, Hyun-Uk;Seo, Dong-Wook;Kang, Suk-Ju;Jo, Kang-Hyun
    • Journal of Institute of Control, Robotics and Systems
    • /
    • v.15 no.9
    • /
    • pp.939-945
    • /
    • 2009
  • In this paper, we proposed a method which corresponds people under the structured spaces with multiple cameras. The correspondence takes an important role for using multiple camera system. For solving this correspondence, the proposed method consists of three main steps. Firstly, moving objects are detected by background subtraction using a multiple background model. The temporal difference is simultaneously used to reduce a noise in the temporal change. When more than two people are detected, those detected regions are divided into each label to represent an individual person. Secondly, the detected region is segmented as features for correspondence by a criterion with the color distribution and context information of human body. The segmented region is represented as a set of blobs. Each blob is described as Gaussian probability distribution, i.e., a person model is generated from the blobs as a Gaussian Mixture Model (GMM). Finally, a GMM of each person from a camera is matched with the model of other people from different cameras by maximum likelihood. From those results, we identify a same person in different view. The experiment was performed according to three scenarios and verified the performance in qualitative and quantitative results.

Evaluation of Teaching English Intonation through Native Utterances with Exaggerated Intonation (억양이 과장된 원어민 발화를 통한 영어 억양 교육과 평가)

  • Yoon, Kyu-Chul
    • Phonetics and Speech Sciences
    • /
    • v.3 no.1
    • /
    • pp.35-43
    • /
    • 2011
  • The purpose of this paper is to evaluate the viability of employing the intonation exaggeration technique proposed in [4] in teaching English prosody to university students. Fifty-six female university students, twenty-two in a control group and the other thirty-four in an experimental group, participated in a teaching experiment as part of their regular coursework for a five-and-a-half week period. For the study material of the experimental group, a set of utterances was synthesized whose intonation contours had been exaggerated whereas the control group was given the same set without any intonation modification. Recordings from both before and after the teaching experiment were made and one sentence set was chosen for analysis. The parameters analyzed were the pitch range, words containing the highest and lowest pitch points, and the 3-dimensional comparison of the three prosodic features [2]. An AXB and subjective rating test were also performed along with a qualitative screening of the individual intonation contours. The results showed that the experimental group performed slightly better in that their intonation contour was more similar to that of the model native speaker's utterance. This appears to suggest that the intonation exaggeration technique can be employed in teaching English prosody to students.

  • PDF

Chemical Structural Effects of Polyimides on the Alignment and Electro-optical Properties of Liquid Crystal Cells

  • Paek, Sang-Hyon;Wonseok Dong
    • Macromolecular Research
    • /
    • v.12 no.3
    • /
    • pp.251-257
    • /
    • 2004
  • The nature of the nematic liquid crystal (LC) alignment induced by the rubbed polyimide (PI) alignment layers (ALs) and the electro-optical (EO) properties of the LC cells are expected to depend on the chemical and physical features of the PI. By employing five pyromellitic dianhydride (PMDA)-type PIs having different functionalities, we have studied the effects of the PI's structure and chemistry on the alignment characteristics and the cell's EO properties. Increasing the flexibility of the PI increases the pretilt angle and tends to improve the alignment stability. On the other hand, the rigid, fluorinated PI displays poor stability for LCs and induces a less stable/uniform LC alignment and, subsequently, a small pre tilt angle. It also transpired that fluorination of the PI deteriorated the voltage-transmittance characteristics and the voltage holding ratio; increasing the flexibility of the PI structure improves these EO properties. The finding that the qualitative trends for the PI's functionalities are similar for both the alignment and EO properties suggests that the EO properties are closely related to the alignment characteristics, which are determined by short-range interactions between LC and PI molecules.

Experimental Study on Flame Structure and Temperature Characteristics in a Lean Premixed Model Gas Turbine Combustor

  • Lee Jong Ho;Jeon Chung Hwan;Chang Young June;Park Chul Woong;Hahn Jae Won
    • Journal of Mechanical Science and Technology
    • /
    • v.19 no.6
    • /
    • pp.1366-1377
    • /
    • 2005
  • Experimental study was carried out in an atmospheric pressure, laboratory-scale dump combustor showing features of combustion instabilities. Flame structure and heat release rates were obtained from OH emission spectroscopy. Qualitative comparisons were made between line-integrated OH chemiluminescence image and Abel-transformed one. Local Rayleigh index distributions were also examined. Mean temperature, normalized standard deviation and temperature fluctuations were measured by coherent anti-Stokes Raman spectroscopy (CARS). To see the periodic behavior of oscillating flames, phase-resolved measurements were performed with respect to the pressure wave in the combustor. Results on system damping and driving characteristics were provided as a function of equivalence ratio. It also could be observed that phase resolved temperatures have been changed in a well-defined manner, while its difference between maximum and minimum reached up to 280K. These results would be expected to play an important role in better understanding of driving mechanisms and thermo-acoustic interactions.

An Exploratory Study on Apparel Design Evaluation Criteria with Consumers' Perspectives -Focusing on Female College Students Majoring in Apparel-Fashion Design in their 20s- (소비자 관점의 의복 디자인 평가 요소에 대한 탐색적 연구 -20대 의류-패션 디자인 전공 여대생을 중심으로-)

  • Kim, Sunwoo
    • Journal of the Korean Society of Clothing and Textiles
    • /
    • v.43 no.3
    • /
    • pp.384-404
    • /
    • 2019
  • This study investigates the multidimensional structure of apparel design evaluation criteria and the details of each criterion by exploring how female college students majoring in apparel design in their 20s evaluate apparel design based on an exploratory approach. Data were analyzed through a categorization method of qualitative data after collecting from a literature review and three focus group interviews. The results identified the six evaluation criteria of apparel design (functional usefulness, convenience, aesthetics, psychological self suitability, social activity usefulness, and fashion trend). Functional usefulness and convenience assessed the extent to which primary features of apparel are reflected in apparel design, and aesthetics evaluated the aesthetic beauty of apparel design. Psychological self suitability estimated the extent to which apparel design expressed psychological self properly, and social activity usefulness appraised the extent to which apparel design contributed to the social activities of wearers. Last, fashion trend assessed the extent to which apparel design reflected fashion trend. The study results provide meaningful implications towards an apparel industry that wants to develop apparel design that appeals to consumers, educational institutions that aim to cultivate well-trained professionals in the apparel industry, and consumers who want to purchase clothes of satisfactory design.

Keypoint-based Deep Learning Approach for Building Footprint Extraction Using Aerial Images

  • Jeong, Doyoung;Kim, Yongil
    • Korean Journal of Remote Sensing
    • /
    • v.37 no.1
    • /
    • pp.111-122
    • /
    • 2021
  • Building footprint extraction is an active topic in the domain of remote sensing, since buildings are a fundamental unit of urban areas. Deep convolutional neural networks successfully perform footprint extraction from optical satellite images. However, semantic segmentation produces coarse results in the output, such as blurred and rounded boundaries, which are caused by the use of convolutional layers with large receptive fields and pooling layers. The objective of this study is to generate visually enhanced building objects by directly extracting the vertices of individual buildings by combining instance segmentation and keypoint detection. The target keypoints in building extraction are defined as points of interest based on the local image gradient direction, that is, the vertices of a building polygon. The proposed framework follows a two-stage, top-down approach that is divided into object detection and keypoint estimation. Keypoints between instances are distinguished by merging the rough segmentation masks and the local features of regions of interest. A building polygon is created by grouping the predicted keypoints through a simple geometric method. Our model achieved an F1-score of 0.650 with an mIoU of 62.6 for building footprint extraction using the OpenCitesAI dataset. The results demonstrated that the proposed framework using keypoint estimation exhibited better segmentation performance when compared with Mask R-CNN in terms of both qualitative and quantitative results.