• 제목/요약/키워드: intentional

검색결과 636건 처리시간 0.023초

?레빈의 「니까」 다시 읽기 - 작가의 서사전략과 세계관을 중심으로 - (A Study of Victor Pelevin' Short Story "Nika")

  • 최행규;안병용
    • 비교문화연구
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    • 제33권
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    • pp.287-307
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    • 2013
  • One cat caused a big wave in Russian literature. This cat revived the heroine of Russian classics. Her light breath was scattered in the world, in the cloudy sky and in the cold spring wind about one hundred years ago. And the cat gave an opportunity of turning to Russian classics to Russian readers. Thanks to this cat, a Russian dreamer changed his typical thinking, as well as many ordinary readers start to read works of creator of this wonderful cat. Pelevin accomplished these works with one cat, which he has made. Of course "Nika" is not only caused to make readers to return to Russian classics. I think, the cat and "Nika" are the symbols of writer's purpose in Russian literature. In this study the understanding of "Nika" is following the steps of realization of writer's purpose. In the second chapter it is analyzed to the textual relationship between "Nika" and "Light breath". Apart from existing analyses to be emphasized the succession of thematic aspect of two works as well. Existence of observers to each heroine stress this succession of thematic aspect of two works. In the third chapter it is analyzed the use of technique of mystification in "Nika". This intentional use of mystification has been demanded to read a "Nika" from another point of view(internal speculation of hero-narrator). The purpose of writer was to expose the cognitive error of a human being. I think this purpose was effectively explained by Pelevin's Buddhist world view which was introduced in his several works.

워드 임베딩과 딥러닝 기법을 이용한 SMS 문자 메시지 필터링 (SMS Text Messages Filtering using Word Embedding and Deep Learning Techniques)

  • 이현영;강승식
    • 스마트미디어저널
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    • 제7권4호
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    • pp.24-29
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    • 2018
  • 딥러닝에서 자연어 처리를 위한 텍스트 분석 기법은 워드 임베딩을 통해 단어를 벡터 형태로 표현한다. 본 논문에서는 워드 임베딩 기법과 딥러닝 기법을 이용하여 SMS 문자 메시지를 문서 벡터로 구성하고 이를 스팸 문자 메시지와 정상적인 문자 메시지로 분류하는 방법을 제안하였다. 유사한 문맥을 가진 단어들은 벡터 공간에서 인접한 벡터 공간에 표현되도록 하기 위해 전처리 과정으로 자동 띄어쓰기를 적용하고 스팸 문자 메시지로 차단되는 것을 피하기 위한 목적으로 음절의 자모를 특수기호로 왜곡하여 맞춤법이 파괴된 상태로 단어 벡터와 문장 벡터를 생성하였다. 또한 문장 벡터 생성 시 CBOW와 skip gram이라는 두 가지 워드 임베딩 알고리즘을 적용하여 문장 벡터를 표현하였으며, 딥러닝을 이용한 스팸 문자 메시지 필터링의 성능 평가를 위해 SVM Light와 정확도를 비교 측정하였다.

딥러닝(CNN)기반 저해상도 IR이미지 분석을 통한 작업자 인식 (Deep Learning(CNN) based Worker Detection on Infrared Radiation Image Analysis)

  • 오원식;이우귀연;오정석
    • 한국가스학회지
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    • 제22권6호
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    • pp.8-15
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    • 2018
  • 플랜트 내 위험지역의 안전을 위해 작업자 중심의 안전관리가 필요하다. 최근 5년간 가스 사고의 원인은 시설 노후 및 장비고장 뿐만 아니라, 사용자의 취급부주의나 고의사고, 공급자 취급부주의 등 작업자의 행동에 밀접한 관련이 있다. 이와 같은 사고를 미연에 방지하기 위해서, 플랜트 내 위험지역에 대한 실시간 모니터링이 필요로 하다. 하지만 실시간 모니터링을 위해서 작업(근로)공간에 카메라 설치 시, 인권침해와 같은 문제가 발생한다. 이를 방지하기 위해서 작업자의 신원 노출이 적은 저해상도의 Infrared 카메라를 이용한다. 또한 실시간 모니터링 시, 사람이 아닌 CNN알고리즘을 이용하여 이미지 분석을 통하여 인권침해 문제를 예방한다.

전자담배용 니코틴 원액 음독 후 발생한 심정지 1례 (A Case Report of Cardiac Arrest Following Intentional Ingestion of Liquid Nicotine for Electronic Cigarette)

  • 김정호
    • 대한임상독성학회지
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    • 제16권2호
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    • pp.172-175
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    • 2018
  • Acute nicotine poisoning by liquid nicotine for electronic cigarettes is becoming an increasing problem worldwide. On the other hand, there are no regulations regarding its concentration, container or labelling in Korea. This is the first case of a cardiac arrest after liquid nicotine ingestion that was confirmed by plasma nicotine detection in Korea. A 34-year-old male was found with a cardiac arrest at home by the emergency medical services crew, and had a return of spontaneous circulation after 27 minutes of cardio-pulmonary resuscitation. The cause of his cardiac arrest was suspected to be acute nicotine poisoning by the ingestion of liquid nicotine. Toxicology analysis of the National Forensic Service confirmed plasma nicotine, and the pharmacokinetic estimated average concentration of plasma nicotine at the time of the cardiac arrest was 29.7 mg/L, a lethal dose. He was hospitalized for further treatment, but was discharged after 20 days without any improvement. Considering the strong toxicity of nicotine, appropriate policy decisions are required for sales and distribution.

Effects of Carrier Leakage on Photoluminescence Properties of GaN-based Light-emitting Diodes at Room Temperature

  • Kim, Jongseok;Kim, Seungtaek;Kim, HyungTae;Choi, Won-Jin;Jung, Hyundon
    • Current Optics and Photonics
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    • 제3권2호
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    • pp.164-171
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    • 2019
  • Photoluminescence (PL) properties of GaN-based light-emitting diodes (LEDs) were analyzed to study the effects of carrier leakage on the luminescence properties at room temperature. The electrical leakage and PL properties were compared for LEDs showing leakages at forward bias and an LED with an intentional leakage path formed by connecting a parallel resistance of various values. The leakages at the forward bias, which could be observed from the current-voltage characteristics, resulted in an increase in the excitation laser power density for the maximum PL efficiency (ratio of PL intensity to excitation power) as well as a reduction in the PL intensity. The effect of carrier leakages on PL properties was similar to the change in PL properties owing to a reduction of the photovoltage by a reverse current since the direction of the carrier movement under photoexcitation is identical to that of the reverse current. Valid relations between PL properties and electrical properties were observed as the PL properties deteriorated with an increase in the carrier leakage. The results imply that the PL properties of LED chips can be an indicator of the electrical properties of LEDs.

The Impact of Business Risk-Based Audit Approach on Reducing Unsystematic Risks: Evidence from Jordanian Banks

  • AL-QUDAH, Laith A.
    • The Journal of Asian Finance, Economics and Business
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    • 제8권1호
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    • pp.343-352
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    • 2021
  • This study aims to identify the impact of the audit approach based on business risks (i.e., external environment risk, operations risk, information risk) in reducing unsystematic risks (i.e., operational risk, credit risk, liquidity risk, capital risk, and administrative risk) in Jordanian banks. To reduce the effect of unsystematic risks and, thus, improve banking performance, an audit approach based on business risks has emerged. To achieve the objectives, this study relied on descriptive statistics and the regression approach to study twenty-five Jordanian banks. The researcher used the intentional sampling method represented by employees of the accounting, financial and control departments in Jordanian banks. Seventeen banks contributed to the study, with a percentage of 68%, totaling 356 employees. A questionnaire was designed to obtain the data, and due to homogeneity among the sampling members, a purposive sample was drawn and 300 questionnaires were distributed. The results of the study found a statistically significant effect of the audit approach based on business risks with its combined dimensions on reducing unsystematic risks in Jordanian banks. The results of the study also found a statistically significant effect of the business risk-based audit approach with its combined dimensions on reducing operational risks in Jordanian banks.

유전알고리즘을 활용한 자원평준화 방법론 (Resource Leveling using Genetic Algorithm)

  • 곽한성;배상희;이동은
    • 대한건축학회논문집:구조계
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    • 제34권2호
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    • pp.67-74
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    • 2018
  • Resource leveling minimizes resource fluctuations by deferring the earliest start times (ESTs) of non-critical activities within their corresponding total float. The intentional float-consumption for resource leveling purpose reduces the schedule delay contingency. This paper presents a method called Genetic Algorithm based Resource Leveling (GARL) that minimizes resource fluctuations and float-consumption impact over project duration. It identifies activities that are less sensitive to float-consumption and performs resource leveling using those activities. The study is of value to project scheduler because GARL identifies the set of activities to be deferred and the number of shift day(s) of each and every activities in the set within its total float expeditiously. It contributes to establish a baseline schedule which implements an optimal resource leveling plan. A case study is presented to verify the validity and usability of the method. It was confirmed that GARL satisfies the project duration constraint by considering resource fluctuations and float-consumption over project duration.

급성 농약 중독환자에서 호흡 부전 발생의 위험 인자 (Risk Factors to Predict Acute Respiratory Failure in Patients with Acute Pesticide Poisoning)

  • 조남준;박삼엘;이은영;길효욱
    • 대한임상독성학회지
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    • 제18권2호
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    • pp.116-122
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    • 2020
  • Acute respiratory failure is an important risk factor for mortality in patients with acute pesticide poisoning. Therefore, it is necessary to investigate the risk factors to predict respiratory failure in these patients. This study retrospectively investigated the clinical features of respiratory failure among patients with acute pesticide poisoning requiring mechanical ventilation. This study included patients who were admitted with intentional poisoning by pesticide ingestion from January 2017 to December 2019. Paraquat intoxication was excluded. Among 469 patients with acute pesticide poisoning, 398 patients were enrolled in this study. The respiratory failure rate was 30.4%. The rate of respiratory failure according to the type of pesticide was carbamate (75.0%), organophosphate (52.6%), glufosinate (52.1%), glyphosate (23%), pyrethroid (8.9%), and others (17%). The mortality was 25.6% in the respiratory failure group. The risk factors for respiratory failure were old age, low body mass index, and ingestion of more than 300 mL. In conclusion, respiratory failure is a risk factor for mortality in pesticide poisoning. Old age, low body mass index, and ingestion of more than 300 mL are the risk factors for predicting respiratory failure.

Creation of Market Categories through Product Strategy: A Text-Mining Approach

  • IMAI, Marina
    • The Journal of Asian Finance, Economics and Business
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    • 제8권2호
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    • pp.439-451
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    • 2021
  • The study aims to investigate the process employed by companies to intentionally create market categories through implementation of product strategy. Much of the research on market category formation focuses on the spontaneous emergence of market categories, with a few studies focusing on the intentional creation of market categories. In the course of this study, I therefore sought to understand the logic by which companies intentionally create market categories, by treating the process through which market categories are formed as a sensemaking process, and by treating the behavior of a company intentionally forming a market category as an effort to manage this sensemaking process. In empirical study, we conducted an exploratory case analysis through content analysis of company press releases and consumer reviews. It is possible that market categories can be formed or changed if the way in which they are shared among market participants can be changed. In this study, we identified two sense-giving activities for the creation of market categories by firms as follows: (1) reorganizing market categories that flat-panel TV manufacturers in the North American market have attempted to form into subcategories of smart TVs, and (2) connecting them to surrounding categories through strategic labeling to establish new categories.

Proposal of AI-based Digital Forensic Evidence Collecting System

  • Jang, Eun-Jin;Shin, Seung-Jung
    • International Journal of Internet, Broadcasting and Communication
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    • 제13권3호
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    • pp.124-129
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    • 2021
  • As the 4th industrial era is in full swing, the public's interest in related technologies such as artificial intelligence, big data, and block chain is increasing. As artificial intelligence technology is used in various industrial fields, the need for research methods incorporating artificial intelligence technology in related fields is also increasing. Evidence collection among digital forensic investigation techniques is a very important procedure in the investigation process that needs to prove a specific person's suspicions. However, there may be cases in which evidence is damaged due to intentional damage to evidence or other physical reasons, and there is a limit to the collection of evidence in this situation. Therefore, this paper we intends to propose an artificial intelligence-based evidence collection system that analyzes numerous image files reported by citizens in real time to visually check the location, user information, and shooting time of the image files. When this system is applied, it is expected that the evidence expected data collected in real time can be actually used as evidence, and it is also expected that the risk area analysis will be possible through big data analysis.