• Title/Summary/Keyword: Negative Image

Search Result 952, Processing Time 0.028 seconds

A Study on Local Economic Resilience after Disasters through Time Series Analysis -Focusing on the Sewol Ferry Disaster- (시계열자료 분석을 통한 재난발생 이후 지역경제 회복력(resilience)에 관한 연구 -세월호 참사를 중심으로-)

  • Kwon, Seol A
    • The Journal of the Korea Contents Association
    • /
    • v.18 no.5
    • /
    • pp.456-463
    • /
    • 2018
  • Increases in disasters and damage caused by the disasters in modern society, have a negative impact on local economy. In particular, a local economic downturn leads to a deterioration in quality of life of local residents and causes mental and material damage. Therefore, in order to achieve stable and sustainable local economic development, it is necessary to strengthen the resilience of the local economy. This study aims to estimate indicators of local economic resilience of Jindo County after the Sewol Ferry disaster, analyze a trend of the economic level after the disaster through time series data and suggest improvement plans of the local crisis management and restoration policy that considers future economic resilience. Results of this study showed that a decrease in the number of tourists and of workers in related industries hit tourism industry, causing a loss to the local economy and that an increase in a drinking rate of and stress awareness rate of local residents was a stress factor due to disaster impacts. These findings provides policy implications that it is necessary to make efforts for improving the depressed local image by utilizing local resources in the area, to build a sustainable long-term economic recovery policy and to provide psychological treatment and the relevant government and local government's support for relieving the stress of local residents due to the disaster impacts.

A Study on Consumer Value Perception through Social Big Data Analysis: Focus on Smartphone Brands (소셜 빅데이터 분석을 통한 소비자 가치 인식 연구: 신규 스마트폰을 중심으로)

  • Kim, Hyong-Jung;Kim, Jin-Hwa
    • The Journal of Society for e-Business Studies
    • /
    • v.22 no.1
    • /
    • pp.123-146
    • /
    • 2017
  • The information that consumers share in the SNS (Social Networking Service) has a great influence on the purchase of consumers. Therefore, it is necessary to pay attention to new research methodology and advertising strategy using Social Big Data. In this context, the purpose of this study is to quantitatively analyze customer value through Social Big Data. In this study, we analyzed the value structure of consumers for the three smartphone brands through text mining and positive/negative image analysis. Analysis result, it was possible to distinguish the emotional aspects (sensitivity) and rational aspects (rationality) for customer value per brand. In the case of the Galaxy S7 and iPhone 6S, emotional aspects were important before the launch, but the rational aspects was important after release date. On the other hand, in the case of the LG G5, emotional aspects were important before and after launch. We can propose two core advertising strategies based on analyzed consumer value. When developing advertising strategy in the case of the Galaxy S7, there is a need to emphasize the rational aspects of product attributes and differentiated functions. In the case of the LG G5, it is necessary to consider the emotional aspects of happiness, excitement, pleasure, and fun that are felt by using products in advertising strategy. As a result, this study will provide a good standard for actual advertising strategy through consumer value analysis. Advertising strategies are primarily driven by intuition or experience. Therefore, it is important to develop advertising strategies by analyzing consumer value through social big data analysis.

A STUDY ON THE STRESS IN MOTHER OF AUTISTIC CHILDREN (자폐아동 어머니의 스트레스에 대한 연구)

  • Yoon, Soo-Young;Han, Kyung-Ja
    • Journal of the Korean Academy of Child and Adolescent Psychiatry
    • /
    • v.4 no.1
    • /
    • pp.54-67
    • /
    • 1993
  • This study is to investigate the stress and stress degree in mothers of autistic children. In order to obtain data for planning nursing strategies for mothers of autistic children The assessment tool for the stress was constructed through reviewing literatures on the stress and gathering the stress items by nonstructed face to face interviewing 14 mothers of autistic children The stress tool consists of 74 items each with five point rating scale A data collection was made front 160 mothers of autistic children from 11 institutions for autistic children in Seoul and Kyung-Ki province. The reliability coefficients by Cronbach's a test was 0.94 for the stress scale. The results are as follows : 1) The mean of stress is 3.19, in the area of the etiology, prognosis and the treatment-education, with cause of the treatment the edeucatlon and the prognosis of child's handicap. The mean of stress is 2.85 In the area of the negative of mother's self image, 2.45 in the area of the mother's ordinary life. The mean of stress was 2.05, lowest in the family and social relationship 2) The mean score for the total was 2.62 points. The items with highest stress score were 'All autistic child has not been understood by the society', 'If we die, 1'm afraid that this child will not be cared by someone', 'There is no institution that the child get the schoolibg', etc The stress item with the lowest mean score were 'Keep away the child from husband', 'Being divorced by husband', etc. 3) An analysis of relationship of stress degree to general characteristic shows a statisically significants difference in the number of children in the family and the cognition of the seventy of the child problem

  • PDF

Hybrid (refrctive/diffractive) lens design for the ultra-compact camera module (초소형 영상 전송 모듈용 DOE(Diffractive optical element)렌즈의 설계 및 평가)

  • Lee, Hwan-Seon;Rim, Cheon-Seog;Jo, jae-Heung;Chang, Soo;Lim, Hyun-Kyu
    • Korean Journal of Optics and Photonics
    • /
    • v.12 no.3
    • /
    • pp.240-249
    • /
    • 2001
  • A high speed ultra-compact lens with a diffractive optical element (DOE) is designed, which can be applied to mobile communication devices such as IMT2000, PDA, notebook computer, etc. The designed hybrid lens has sufficiently high performance of less than f/2.2, compact size of 3.3 mm (1st surf. to image), and wide field angle of more than 30 deg. compared with the specifications of a single lens. By proper choice of the aspheric and DOE surface which has very large negative dispersion, we can correct chromatic and high order aberrations through the optimization technique. From Seidel third order aberration theory and Sweatt modeling, the initial data and surface configurations, that is, the combination condition of the DOE and the aspherical surface are obtained. However, due to the consideration of diffraction efficiency of a DOE, we can choose only four cases as the optimization input, and present the best solution after evaluating and comparing those four cases. On the other hand, we also report dramatic improvement in optical performance by inserting another refractive lens (so-called, field flattener), that keeps the refractive power of an original DOE lens and makes the petzval sum zero in the original DOE lens system. ystem.

  • PDF

A case of Transverse Myelitis due to Multidrug-Resistant Tuberculosis (다제내성 결핵에 의한 횡단척수염 1예)

  • Lee, Kwang Ha;Ra, Seung Won;Park, I-Nae;Choi, Hye Sook;Jung, Hoon;Chon, Gyu Rak;Shim, Tae Sun
    • Tuberculosis and Respiratory Diseases
    • /
    • v.60 no.3
    • /
    • pp.353-356
    • /
    • 2006
  • Acute transverse myelitis (TM) is a neurological syndrome caused by inflammation of the spinal cord. TM is rare but is frequently caused by viral or bacterial infections. TM caused by tuberculosis (TB) is extremely rare and there are no reports of TM caused by multidrug-resistant TB (MDR-TB). We report a case of acute TM due to MDR-TB in a 40-year-old man. The patient had been diagnosed with pulmonary TB and was started on the first-line anti-TB treatment. However, the chest radiographic findings were aggravated and neurological symptoms such as weakness in both lower extremities, sensory changes, and voiding difficulty were newly developed. The T2-weighted magnetic resonance image of the spine showed diffusely increased signal intensity in the spinal cord, particularly at the lower cervical and upper thoracic levels, without any definite evidence of myeloradicular compression, which is consistent with a diagnosis of TM. A drug susceptibility test revealed MDR and second-line anti-TB drugs were prescribed. The chest radiographic findings showed improvement after treatment, the mycobacterial culture converted to negative, the MRI findings improved, and there was partial improvement in the low extremity weakness. The patient has been prescribing second-line anti-TB medications for 14 months.

Multi-classifier Decision-level Fusion for Face Recognition (다중 분류기의 판정단계 융합에 의한 얼굴인식)

  • Yeom, Seok-Won
    • Journal of the Institute of Electronics Engineers of Korea SP
    • /
    • v.49 no.4
    • /
    • pp.77-84
    • /
    • 2012
  • Face classification has wide applications in intelligent video surveillance, content retrieval, robot vision, and human-machine interface. Pose and expression changes, and arbitrary illumination are typical problems for face recognition. When the face is captured at a distance, the image quality is often degraded by blurring and noise corruption. This paper investigates the efficacy of multi-classifier decision level fusion for face classification based on the photon-counting linear discriminant analysis with two different cost functions: Euclidean distance and negative normalized correlation. Decision level fusion comprises three stages: cost normalization, cost validation, and fusion rules. First, the costs are normalized into the uniform range and then, candidate costs are selected during validation. Three fusion rules are employed: minimum, average, and majority-voting rules. In the experiments, unfocusing and motion blurs are rendered to simulate the effects of the long distance environments. It will be shown that the decision-level fusion scheme provides better results than the single classifier.

Estimating the Determinants for Transaction Value of B2B (Business-to-Business): A Panel Data Model Approach (패널 데이터모형을 이용한 기업간전자상거래 거래액 결정요인 추정에 관한 연구)

  • Kim, Hee-Cheul;Shin, Hyun-Dae
    • Journal of the Korea Society of Computer and Information
    • /
    • v.15 no.11
    • /
    • pp.225-231
    • /
    • 2010
  • Transaction value of business-to-business(B2B) is composed of various factors for groups and time series. In this paper, we use the panel data for finding various variables and using this we analyse the factors that is major influence to transaction value of business-to-business. For analysis we looked at transaction value of business-to-business of 7 groups such as manufacturing industry, electric, gas and piped water industry, construction industry, retail & wholesale trade, traffic industry, publish, image; broad-casting & telecommunication and information service industry, etc. In our analysis we looked at the transaction value of business-to-business during the period from 2005.01 to 2009.12. We examined the data in relation to the transaction value of cyber shopping mall, company bond, composite stock price index, transaction value of credit card, loaned rate of interest in deposit bank, rate of exchange looking at the factors which determine the transaction value of business-to-business, evidence was produced supporting the hypothesis that there is a significant positive relationship between the transaction value of cyber shopping mall, composite stock price index and loaned rate of interest in deposit bank, rate of exchange. The company bond is negative relationship, transaction value of credit card is positive relationship and they are not significant variables in terms of the transaction value of business-to-business.

A Case of Abdominal Tuberclosis Mimicking Ovarian Cancer (난소 종양의 임상적 양상을 보인 소아 복막 결핵)

  • Yeom, Jung Sook;Kim, Jae Hui;Cho, Jae Min;Lee, Jeong Hee;Park, Eun Sil;Seo, Ji Hyun;Lim, Jae Young;Park, Chan Hoo;Woo, Hyang Ok;Youn, Hee Shang
    • Pediatric Gastroenterology, Hepatology & Nutrition
    • /
    • v.8 no.2
    • /
    • pp.238-242
    • /
    • 2005
  • We report the case of a girl with peritoneal tuberculosis (Tb) who presented with mimicking features of ovarian cancer including massive ascites, elevation of CA-125 and ovarian masses. These ovarian masses cannot be ruled out malingnacy with image study. Gram stain, acid-fast stain, bacteriological and mycological culture of centrifuged ascites cells were negative. Tumor markers revealed an elevated CA-125 level of 112 U/mL and adenosine deaminase level were significantly high with 118 U/L. Diagnostic laparoscopy was done. The histology of the peritoneum and the ovary showed multiple granulomatous nodules with epithelioid cells and multi-nucleated giant cells. And there were no evidence of malignancy. Furthermore acid-fast bacilli (AFB) was identified in this specimen. Peritoneal Tb was difficult to diagnosis in our patient because it mimicked ovarian cancer. And this is the first case of abdominal Tb mimicking ovarian cancer in children in Korea.

  • PDF

A Comparative Study of Local Newspapers' News Frame: Focus on Nuclear Waste Site Reporting (지역신문 뉴스 프레임 비교: 핵폐기장 관련 보도를 중심으로)

  • Choi, Nak-Jin
    • Korean journal of communication and information
    • /
    • v.27
    • /
    • pp.283-316
    • /
    • 2004
  • This study examines different news frames of local newspapers reporting the controversial 'Nu[lear Waste Site' issues which deeply split regions showing their intention to bid for the state affair. Three local papers were analyzed for this study, "Gwang-Ju-Il-bo" "Mae-il-sin-mun" and "Jun-buk-il-bo." Overall, the three local papers displayed widely divergent main news frames on the same issue. Firstly, "Gwang-Ju-Il-bo", and "Mae-il-sln-mun" showed the strong tendency of using 'counter frame' while "Jun-buk-il-bo" exhibited 'loral development frame'. Secondly, "Gwang-Ju-Il-bo", and "Mae-il-sin-mun" were frequently headlined 'Nuclear Waste Site', while "Jun-buk-il-bo" carried headlines 'Radioactive Waste Management Facility' overwhelmingly more often than the other two papers, indicating that headline key words are closely associated with the configuration of news frames. Thirdly, the main news frames remained consistent for "Gwang-Ju-Il-bo", and "Mae-il-sin-mun" even after the government's report about the possible connection of 'ion-beam irradiation-accelator' and 'Nuclear Waste Site.' On the other hand, "Jun-buk-il-bo" was significantly less headlined 'Nuclear Waste Site' while significantly more headlined "Radioactice Waste Management Facility." "Jun-Buk-il-bo" which is in stark contrast to the other two papers changed in its tone by increasing the 'local development frame' with decrease in the 'counter frame.' The "Jun-buk-il-bo"'s more frequent use of 'Radioactive Waste Management Facility' as a headline than "Nuclear Waste Management Equipment" is seen as its attempt to minimize negative image of Nuclear Waste and to promote favorable public opinion by highlighting aspects of economic benefits and the local development the construction would brind about. The major findings of this study further support the claim that media overage ends up a reality. The fact that Buan in Jun-buk Province made a successful bid for the construction is not a coincidence.

  • PDF

A Robust Algorithm for Tracking Feature Points with Incomplete Trajectories (불완전한 궤적을 고려한 강건한 특징점 추적 알고리즘)

  • Jeong, Jong-Myeon;Moon, Young-Shik
    • Journal of the Institute of Electronics Engineers of Korea SP
    • /
    • v.37 no.6
    • /
    • pp.25-37
    • /
    • 2000
  • The trajectories of feature points can be defined by the correspondences between points in consecutive frames. The correspondence problem is known to be difficult to solve because false positives and false negatives almost always exist in real image sequences. In this paper, we propose a robust feature tracking algorithm considering incomplete trajectories such as entering and/or vanishing trajectories. The trajectories of feature points are determined by calculating the matching measure, which is defined as the minimum weighted Euclidean distance between two feature points. The weights are automatically updated in order to properly reflect the motion characteristics. We solve the correspondence problem as an optimal graph search problem, considering that the existence of false feature points may have serious effect on the correspondence search. The proposed algorithm finds a local optimal correspondence so that the effect of false feature point can be minimized in the decision process. The time complexity of the proposed graph search algorithm is given by O(mn) in the best case and O($m^2n$) in the worst case, where m and n arc the number of feature points in two consecutive frames. By considering false feature points and by properly reflecting motion characteristics, the proposed algorithm can find trajectories correctly and robustly, which has been shown by experimental results.

  • PDF