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Participatory Web Users’ Information Activities and Credibility Assessment

  • Rieh, Soo-Young
    • Journal of the Korean Society for Library and Information Science
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    • v.44 no.4
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    • pp.155-178
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    • 2010
  • Assessment of information credibility is a ubiquitous human activity given that people constantly make decisions and selections based on the value of information in a variety of information seeking and use contexts. Today, people are increasingly engaging in diverse online activities beyond searching for and reading information, including activities such as creating, tagging and rating content, shopping, and listening to and watching multimedia content. The Web 2.0 environment presents new challenges for people because the burden of information evaluation is shifted from professional gatekeepers to individual information consumers. At the same time, however, it also provides unprecedented opportunities for people to use tools and features that help them to make informed credibility judgments by relying on other people's ratings and recommendations. This paper introduces fundamental notions and dimensions of credibility, and contends that credibility assessment can be best understood with respect to human information behavior because it encompasses both the level of effort people exert as well as the heuristics they employ to evaluate information. The paper reports on a survey study investigating people's credibility judgments with respect to online information, focusing on the constructs, heuristics, and interactions involved in people's credibility assessment processes within the context of their everyday life information activities. Using an online activity diary method, empirical data about people's online activities and their associated credibility assessments were collected at multiple points throughout the day for three days. The results indicate that distinct credibility assessment heuristics are emerging as people engage in diverse online activities involving more user-generated and multimedia content. A heuristic approach suggests that people apply mental shortcuts or rules of thumb in order to minimize the amount of cognitive effort and time required to make credibility judgments. The paper discusses why a heuristic approach is key to reaching a more comprehensive understanding of people's credibility assessments within the information-abundant online environment.

Trompe l'oeil in contemporary men's fashion (현대 남성 패션에 표현된 트롱프뢰유)

  • Jang, Jung Im;Lee, Younhee
    • The Research Journal of the Costume Culture
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    • v.26 no.5
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    • pp.764-776
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    • 2018
  • The purpose of this study is to serve as a reference for creative fashion design by analyzing the types and aesthetic characteristics of trompe l'oeil in contemporary men's fashion. This research is an empirical study that utilizes both qualitative and quantitative methods to analyze fashion design cases and research articles such as academic papers and professional books. The study covers four major men's collections: Paris, Milan, New York, and London. The period being analyzed is from 2005 Spring/Summer, which is widely regarded as a turning point at which men's collections began rapidly, to 2019 Spring/Summer. The study analyzes 471 photos from domestic and international websites, with the following results. Types of trompe l'oeil in contemporary male fashion are classified into four types: (1) the deconstruction of clothing forms or creation methods, (2) optical illusions that create the effect of multiple layers of clothing on a single article of clothing and the reproduction of apparel details and clothing using 2D printing or embroideries, (3) realistic patterns on garments to create a camouflage effect, and (4) articles of clothing containing body images such as the chest, trunk, or internal human anatomy. These aesthetic characteristics in men's fashion design using types of trompe l'oeil are playful, deconstructive, and decorative features based on hyper-reality. This study aims to acknowledge trompe l'oeil as being widely used in contemporary men's fashion as a type of formative art, playing a crucial role in creative fashion design.

Papillary Thyroid Microcarcinoma Presenting as Neck Masses (경부 종물로 발현된 유두 미세 갑상선암)

  • Kim Young-Mo;Park Sun-Ki;Shin Jun-Sun;Jeon Yong-Sun;Han Chang-Jun;Cho Jung-Il
    • Korean Journal of Head & Neck Oncology
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    • v.18 no.1
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    • pp.65-70
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    • 2002
  • Background and Objectives: Recently the tenn 'papillary microcarcinoma' has been proposed to designate carcinoma of 10 mm or less in diameter. In some cases, cervical lymph node metastasis preceding the occurrence of the primary tumor may be the first and sole manifestation of the disease. The objective of this study is to assess the clinical features of cervical metastasis in papillary microcarcinoma of thyroid glands. Materials and Methods: 9 cases with papillary microcarcinoma with neck metastasis were analyzed retrospectively. 5 cases are men and 4 are women. All patients complained of painless, movable neck mass. The symptom had been present from 1 month to 36 months. We reviewed clinical history, imaging studies, the results of fine needle aspiration, the surgical method, the pathologic results. Results: In 9 cases, no abnormalities of the thyroid gland were shown by imaging studies and thyroid scan. 3 cases were diagnosed by fine needle aspiration cytology. the others were not. Total thyroidectomy and neck dissection were performed in 9 cases and then pathology reports showed 2 case of multiple, 2 case of contralateral single and 5 cases of unilateral single thyroid microcarcinoma. They have no recurrence during follow-up period. Conclusions: Cervical metastasis from papillary microcarcinoma is variable clinical manifestation. The diagnosis of cervical metastasis from papillary microcarcinoma should be considered in patient with neck mass. We recommend total thyroidectomy with neck dissection and postoperative radioactive iodine ablation therapy in neck metastasis from papillary thyroid microcarcinoma.

SE-CAC: A Novel Call Admission Control Scheme for Multi-service IDMA Systems

  • Ge, Xin;Liu, Gongliang;Mao, Xingpeng;Zhang, Naitong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.5 no.5
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    • pp.1049-1068
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    • 2011
  • In this paper a simple and effective call admission control (CAC) scheme is proposed for the emerging interleave-division multiple-access (IDMA) systems, supporting a variety of traffic types and offering different quality of service (QoS) requirements and priority levels. The proposed scheme is signal-to-interference-plus-noise ratio (SINR) evolution based CAC (SE-CAC). The key idea behind the scheme is to take advantage of the SINR evolution technique in the process of making admission decisions, which is developed from the effective chip-by-chip (CBC) multi-user detection (MUD) process in IDMA systems. By virtue of this semi-analytical technique, the MUD efficiency can be estimated accurately. Additionally, the computational complexity can be considerably reduced. These features make the scheme highly suitable for IDMA systems, which can combat intra-cell interference efficiently with simple CBC MUD. Analysis and simulation results show that compared to the traditional CAC scheme considering MUD efficiency as a constant, the proposed SE-CAC scheme can guarantee high power efficiency and throughput for multimedia traffic even in heavy load conditions, illustrating the high efficiency of CBC MUD. Furthermore, based on the SINR evolution, the SE-CAC can make accurate estimation of available resource considering the effect of MUD, leading to low outage probability as well as low blocking and dropping probability.

A Case of Wegener's Granulomatosis with Multi-organ Involvement in Childhood (다장기 침범을 보인 소아 Wegener 육아종증 1례)

  • Lee, Hyun-Kyung;Cho, Hee-Yeon;Cheong, Hae-Il;Choi, Yong;Ha, Il-Soo
    • Childhood Kidney Diseases
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    • v.11 no.1
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    • pp.118-125
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    • 2007
  • Wegener's granulomatosis(WG) is a necrotizing granulomatous small vessel vasculitis with a clinical predilection for involvement of the upper airways, lungs and kidneys. The disease usually manifests in adults between 25 and 50 years of age, but it can also rarely occur-in childhood with some features different from those of adults. WG may be easily overlooked in young patients by misinterpretion of the symptoms as caused by an infectious disease of the respiratory tract. Delayed diagnosis and treatment of the disease may cause more rapid progression of the glomerulonephritis to end stage renal disease. We report a boy who was diagnosed with WG with involvement of multiple organs at 13 years of age.

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A Case of Late Onset Group B Streptoccocal Sepsis with the Complication of Subclavian Vein Catheterization (쇄골하 정책 도관법 합병증이 발생한 후기 발병형 B군 연쇄상 구균 패혈증 1례)

  • Kim, Woo Kyung;Kim, Mi Ran;Kim, Duk Ha;Lee, Hae Ran;Park, Chong Young;Hwang, Dae Haen
    • Pediatric Infection and Vaccine
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    • v.5 no.2
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    • pp.289-295
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    • 1998
  • Group B Streptococcal sepsis and/or meningitis is one of the most serious and common diseases in the neonatal period with high mortality and frequent complications. We have experienced a case of late onset type group B streptococcal sepsis and meningitis with a complication of subclavian vein catheterization catheterization. This 29-day-old male neonate was admitted to intensive care unit with the presentation of fever and septic shock. He was born with Cesarean delivery at 36 weeks and 3 days of gestational age. He showed multiple episodes of seizure after admission and group B streptococcus was isolated from blood. CSF profiles 10 days after admission showed the features of bacterial meningitis without organism isolated. Diffuse cerebral infarction was detected on brain CT 24 days after admission. In the 13th hospital day, the complication of subclavian vein catheterization occurred; Guide wire was cut during insertion and the distal portion of it(2.5cm) was retained in the left subclavian vein. We removed the retained guide wire with goose-neck snare catheter via right femoral vein. This case was presented with a brief review of the literatures.

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Image Fusion Based on Statistical Hypothesis Test Using Wavelet Transform (웨이블렛 변환을 이용한 통계적 가설검정에 의한 영상융합)

  • Park, Min-Joon;Kwon, Min-Jun;Kim, Gi-Hun;Shim, Han-Seul;Lim, Dong-Hoon
    • The Korean Journal of Applied Statistics
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    • v.24 no.4
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    • pp.695-708
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    • 2011
  • Image fusion is the process of combining multiple images of the same scene into a single fused image with application to many fields, such as remote sensing, computer vision, robotics, medical imaging and military affairs. The widely used image fusion rules that use wavelet transform have been based on a simple comparison with the activity measures of local windows such as mean and standard deviation. In this case, information features from the original images are excluded in the fusion image and distorted fusion images are obtained for noisy images. In this paper, we propose the use of a nonparametric squared ranks test on the quality of variance for two samples in order to overcome the influence of the noise and guarantee the homogeneity of the fused image. We evaluate the method both quantitatively and qualitatively for image fusion as well as compare it to some existing fusion methods. Experimental results indicate that the proposed method is effective and provides satisfactory fusion results.

Fake News Detection for Korean News Using Text Mining and Machine Learning Techniques (텍스트 마이닝과 기계 학습을 이용한 국내 가짜뉴스 예측)

  • Yun, Tae-Uk;Ahn, Hyunchul
    • Journal of Information Technology Applications and Management
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    • v.25 no.1
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    • pp.19-32
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    • 2018
  • Fake news is defined as the news articles that are intentionally and verifiably false, and could mislead readers. Spread of fake news may provoke anxiety, chaos, fear, or irrational decisions of the public. Thus, detecting fake news and preventing its spread has become very important issue in our society. However, due to the huge amount of fake news produced every day, it is almost impossible to identify it by a human. Under this context, researchers have tried to develop automated fake news detection method using Artificial Intelligence techniques over the past years. But, unfortunately, there have been no prior studies proposed an automated fake news detection method for Korean news. In this study, we aim to detect Korean fake news using text mining and machine learning techniques. Our proposed method consists of two steps. In the first step, the news contents to be analyzed is convert to quantified values using various text mining techniques (Topic Modeling, TF-IDF, and so on). After that, in step 2, classifiers are trained using the values produced in step 1. As the classifiers, machine learning techniques such as multiple discriminant analysis, case based reasoning, artificial neural networks, and support vector machine can be applied. To validate the effectiveness of the proposed method, we collected 200 Korean news from Seoul National University's FactCheck (http://factcheck.snu.ac.kr). which provides with detailed analysis reports from about 20 media outlets and links to source documents for each case. Using this dataset, we will identify which text features are important as well as which classifiers are effective in detecting Korean fake news.

Scene Text Extraction in Natural Images Using Color Variance Feature (색 변화 특징을 이용한 자연이미지에서의 장면 텍스트 추출)

  • 송영자;최영우
    • Proceedings of the IEEK Conference
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    • 2003.07e
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    • pp.1835-1838
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    • 2003
  • Texts in natural images contain significant and detailed informations about the images. Thus, to extract those texts correctly, we suggest a text extraction method using color variance feature. Generally, the texts in images have color variations with the backgrounds. Thus, if we express those variations in 3 dimensional RGB color space, we can emphasize the text regions that can be hard to be captured with a method using intensity variations in the gray-level images. We can even make robust extraction results with the images contaminated by light variations. The color variations are measured by color variance in this paper. First, horizontal and vertical variance images are obtained independently, and we can fine that the text regions have high values of the variances in both directions. Then, the two images are logically ANDed to remove the non-text components with only one directional high variance. We have applied the proposed method to the multiple kinds of the natural images, and we confirmed that the proposed feature can help to find the text regions that can he missed with the following features - intensity variations in the gray-level images and/or color continuity in the color images.

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Detection of Mass on Dense Mammogram (고밀도 유방영상에서 종양의 추출)

  • Yu, Seung-Hwa;No, Seung-Mu;Park, Jong-Won
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.38 no.6
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    • pp.721-734
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    • 2001
  • This paper proposed automated methods for the detection of breast mass. We analysed characteristic of the mass by using the features on mammograms. The homogeneity was used to distinguish mass and abnormal homogeneous tissue from the Cooper's ligament and multiple threshold method was used to deal with the high density candidates. By using the 8-connectivity, the first step candidates were selected. We generated the dualistic images of each candidate in which we regard the gray value as topographic height information. From these candidates, the second candidates were selected by comparing the circularity and the distribution rates. The final detection was done with the method in which we generated the template of each candidate and compared each other. From these methods, we grade the order from the candidate. We applied the algorithm to the 136 mammograms and compared to the radiologist's outlines of the leisions. The detection resulted that the sensitivity of the proposed methods was 93.38% and 97.63% FP(False positive) which we can segmented mass in the first grade in the 124 cases.

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