• Title/Summary/Keyword: AI Anxiety

검색결과 28건 처리시간 0.021초

The Study on Implementation of Crime Terms Classification System for Crime Issues Response

  • Jeong, Inkyu;Yoon, Cheolhee;Kang, Jang Mook
    • International Journal of Advanced Culture Technology
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    • 제8권3호
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    • pp.61-72
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    • 2020
  • The fear of crime, discussed in the early 1960s in the United States, is a psychological response, such as anxiety or concern about crime, the potential victim of a crime. These anxiety factors lead to the burden of the individual in securing the psychological stability and indirect costs of the crime against the society. Fear of crime is not a good thing, and it is a part that needs to be adjusted so that it cannot be exaggerated and distorted by the policy together with the crime coping and resolution. This is because fear of crime has as much harm as damage caused by criminal act. Eric Pawson has argued that the popular impression of violent crime is not formed because of media reports, but by official statistics. Therefore, the police should watch and analyze news related to fear of crime to reduce the social cost of fear of crime and prepare a preemptive response policy before the people have 'fear of crime'. In this paper, we propose a deep - based news classification system that helps police cope with crimes related to crimes reported in the media efficiently and quickly and precisely. The goal is to establish a system that can quickly identify changes in security issues that are rapidly increasing by categorizing news related to crime among news articles. To construct the system, crime data was learned so that news could be classified according to the type of crime. Deep learning was applied by using Google tensor flow. In the future, it is necessary to continue research on the importance of keyword according to early detection of issues that are rapidly increasing by crime type and the power of the press, and it is also necessary to constantly supplement crime related corpus.

평가 기반 지진 정보 표출 및 확산을 위한 원스톱 모바일 지원 확산 시스템 (An One-stop mobile support system for the expression and spread of earthquake information based on evaluation)

  • 이윤래;이윤경;장연이;김현아;박민재
    • 한국융합학회논문지
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    • 제12권4호
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    • pp.43-50
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    • 2021
  • 최근 포항시를 비롯한 일부 지역의 지진 발생 빈도가 증가함에 따라, 대한민국 내에서 발생한 지진에 대한 대응책에 대한 필요성이 여러 가지 측면으로 요구되고 있다. 지진 발생 이후 액상화 현상이 발생하였고, 지진에 대한 사전대비와 대처에 대한 미흡함으로 인해, 지역 주민의 불안감이 가중 되었다. 이러한 현상에 대한 대처와 지역 주민에 대한 불안감을 해소하기 위해, 우리는 기존 지진 대응에 대한 시스템에 대한 한계를 분석하고, 그것을 해결하기 위한 하나의 방법을 마련하고자 한다. 이에 우리는 재난 상황에 적극적으로 대처할 수 있는 평가 기반의 지진 정보를 표출하고 확산할 수 있는 원스톱 모바일 지원 확산 시스템을 제안하고, 구현하여, 그 가능성을 증명한다.

Q 방법론을 활용한 자율주행 자동차에 대한 사용자 인식에 관한 연구 (A Study on the Users' Perception of Autonomous Vehicles using Q Methodology)

  • 이영직;안현철
    • 한국콘텐츠학회논문지
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    • 제20권5호
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    • pp.153-170
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    • 2020
  • 최근 인공지능(AI), 정보통신기술(ICT)의 발전에 따라 자율주행 자동차가 현실화되고 있으며, 부분 자율주행기술을 장착한 차량의 판매가 빠르게 확대되고 있다. 이러한 상황에서 자율주행 자동차에 대한 기술 연구는 활발하게 이루어지고 있으나, 사용자 관점에서 자율주행 자동차에 대한 인식을 탐구한 연구는 상대적으로 많이 부족한 실정이다. 이에 본 연구에서는 자율주행 자동차 사용자들을 <적극 수용형>, <기술 수긍형>, <기술 불만족형>, <기술 수용 불안형>의 4가지 유형으로 유형화하고, 각 유형별 특징을 살펴보았다. 이를 위해 본 연구는 질적연구방법인 Q방법론을 적용하였으며, 34개 진술문으로 구성된 Q표본을 이용해 32명으로 구성된 P표본의 자작적 주관성을 관찰하였다. 이러한 본 연구의 결과는 국내외 자동차 제조기업들에게 자율주행 자동차의 기술 발전과 시장 확대를 위한 전략적 방향을 제시하고, 학술적으로 후속 양적연구를 위한 가설을 제공한다는 측면에서 의의를 갖는다.

Diabetes Detection and Forecasting using Machine Learning Approaches: Current State-of-the-art

  • Alwalid Alhashem;Aiman Abdulbaset ;Faisal Almudarra ;Hazzaa Alshareef ;Mshari Alqasoumi ;Atta-ur Rahman ;Maqsood Mahmud
    • International Journal of Computer Science & Network Security
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    • 제23권10호
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    • pp.199-208
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    • 2023
  • The emergence of COVID-19 virus has shaken almost every aspect of human life including but not limited to social, financial, and economic changes. One of the most significant impacts was obviously healthcare. Now though the pandemic has been over, its aftereffects are still there. Among them, a prominent one is people lifestyle. Work from home, enhanced screen time, limited mobility and walking habits, junk food, lack of sleep etc. are several factors that have still been affecting human health. Consequently, diseases like diabetes, high blood pressure, anxiety etc. have been emerging at a speed never witnessed before and it mainly includes the people at young age. The situation demands an early prediction, detection, and warning system to alert the people at risk. AI and Machine learning has been investigated tremendously for solving the problems in almost every aspect of human life, especially healthcare and results are promising. This study focuses on reviewing the machine learning based approaches conducted in detection and prediction of diabetes especially during and post pandemic era. That will help find a research gap and significance of the study especially for the researchers and scholars in the same field.

A Study on Predicting the demand for Public Shared Bikes using linear Regression

  • HAN, Dong Hun;JUNG, Sang Woo
    • 한국인공지능학회지
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    • 제10권1호
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    • pp.27-32
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    • 2022
  • As the need for eco-friendly transportation increases due to the deepening climate crisis, many local governments in Korea are introducing shared bicycles. Due to anxiety about public transportation after COVID-19, bicycles have firmly established themselves as the axis of daily transportation. The use of shared bicycles is spread, and the demand for bicycles is increasing by rental offices, but there are operational and management difficulties because the demand is managed under a limited budget. And unfortunately, user behavior results in a spatial imbalance of the bike inventory over time. So, in order to easily operate the maintenance of shared bicycles in Seoul, bicycles should be prepared in large quantities at a time of high demand and withdrawn at a low time. Therefore, in this study, by using machine learning, the linear regression algorithm and MS Azure ML are used to predict and analyze when demand is high. As a result of the analysis, the demand for bicycles in 2018 is on the rise compared to 2017, and the demand is lower in winter than in spring, summer, and fall. It can be judged that this linear regression-based prediction can reduce maintenance and management costs in a shared society and increase user convenience. In a further study, we will focus on shared bike routes by using GPS tracking systems. Through the data found, the route used by most people will be analyzed to derive the optimal route when installing a bicycle-only road.

학업성취도 예측 요인 분석 및 인공지능 예측 모델 개발 - 블렌디드 수학 수업을 중심으로 (Analysis of achievement predictive factors and predictive AI model development - Focused on blended math classes)

  • 안도연;이광호
    • 한국수학교육학회지시리즈A:수학교육
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    • 제61권2호
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    • pp.257-271
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    • 2022
  • 본 연구는 학습분석학을 기반으로 블렌디드 수학 수업에서 발생하는 학습 데이터를 활용하여 수학 학업성취도를 예측하는 요인이 무엇인지 탐색하고, 그 결과를 활용하여 수학 학업성취도를 예측하는 인공지능 모델을 개발하고자 하였다. 초등학교 5~6학년 학생 205명의 수학 학습 성향, LMS 데이터, 평가 결과를 수집하여 랜덤포레스트 모델을 분석하였다. 수학 학습성향에는 수학학습 자신감, 수학불안, 수학교과 흥미, 수학학습 자기관리, 수학학습 전략이 포함되었다. LMS 데이터로 e학습터의 진도율, 학습 횟수, 학습 시간을 수집하였다. 평가는 진단평가와 각 단원의 단원평가 결과를 사용하였다. 분석 결과 수학 학습성향 중 수학 학습 전략이 저성취 학생을 예측에 가장 중요한 요인으로 나타났다. LMS 학습 데이터는 예측에 미미한 영향을 주었다. 본 연구는 인공지능 모델이 블렌디드 수학 수업에서 발생하는 학습 데이터로 저성취 학생을 예측할 수 있음을 시사한다. 또한 분석 결과를 통해 교사가 학생을 평가하고 피드백하는 데 구체적인 정보를 제공하여 교사의 평가 활동에 보조적인 역할을 할 수 있을 것으로 기대한다.

불면증 정도가 폐쇄성 수면무호흡 증후군에서의 주간졸림 정도에 끼치는 영향 (The Effect of Insomnia Severity on Daytime Sleepiness in Obstructive Sleep Apnea Syndrome)

  • 남지원;신병학;신현실;박민지
    • 수면정신생리
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    • 제22권1호
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    • pp.11-19
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    • 2015
  • 목 적 : 폐쇄성 수면무호흡 증후군(obstructive sleep apnea syndrome, 이하 OSAS)의 특징적 임상양상으로 주간졸림이 있다. 주간졸림과 수면무호흡의 심각도가 비례하는지에 대해서는 이론이 있다. 이러한 이론에는 불면증 정도가 두 변수의 상관관계에 영향을 줄 수 있다는 가정하에 본 연구자들은 피츠버그수면질지수(Pittsburgh Sleep Quality Index, 이하 PSQI) 정도가 주간졸림과 수면무호흡의 심각도의 연관관계에 어떠한 영향을 주는 지에 관해 연구하고자 하였다. 방 법 : 임상병력 및 야간수면다원검사(nocturnal polysomnography, 이하 NPSG)를 실시하여 OSAS로 진단된 235명의 남자 환자를 선정하였다. 전체 대상군의 수면 및 기분 관련 자가보고척도, 수면다원검사지수, 인구학적 척도를 조사하고 이들 사이의 단순상관분석을 시행하였다. 이후 전체 대상군을 PSQI가 5 이하인 A군(n = 75)과 5 초과인 B군(n = 160)으로 나누었다. 각 군에서 제어변수로 벡우울척도(Beck depression inventory, 이하 BDI) 및 벡불안척도(Beck anxiety inventory, 이하 BAI)를 설정하고 엡워스졸림척도(Epworth sleepiness scale, 이하 ESS)와 다른 척도들 간의 편상관관계분석을 시행하였다. 마지막으로 A군에서 주간졸림에 영향을 주는 요소를 알아보기 위해 ESS에 대해 다중회귀분석을 시행하였다. 결 과 : 전체 대상군에서 단순상관분석에서는 ESS와 수면무호흡 심각도 지수들인 무호흡-저호흡 지수(apnea-hypopnea index, 이하 AHI ) (r = 0.148, p = 0.023), 무호흡 지수(apnea index, 이하 AI) (r = 0.137, p = 0.036), 저호흡 지수(hypopnea index, 이하 HI) (r = 0.058, p = 0.377), 산소탈포화도지수(oxygen desaturation index, 이하 ODI)(r = 0.149, p = 0.022), 각성 총지수(arousal total index, 이하 ATI) (r = 0.129, p = 0.048) 간에 미약한 상관관계를 보이거나 상관관계가 없었다. A군에서 ESS와 AHI ($r_p=0.313$, p = 0.008), AI ($r_p=0.339$, p = 0.004), ODI ($r_p=0.289$, p = 0.015), ATI ($r_p=0.256$, p = 0.031) 간에 양의 유의한 상관관계를 보였다. B군에서는 ESS와 수면무호흡의 심각도 척도 간에 유의한 상관관계를 보이지 않았다. A군에서 다중회귀분석 결과 ESS에 통계적으로 유의한 영향을 끼치는 요인으로 AI (t = 2.996, p = 0.004), BAI (t = 2.721, p = 0.008)가 있었다. 결 론 : 주간졸림 정도와 수면무호흡 중증도 간의 유의한 연관성은 A군에서만 관찰되었다. 이 결과는 OSAS 환자가 호소하는 주간졸음을 평가할 때 불면 증상에 대해 고려해야 한다는 것을 시사한다.

대퇴경부 골절 환자의 입원 생활 (The Hospital Life of the Patient with Femoral Neck Fracture)

  • 김경자;지성애
    • 간호행정학회지
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    • 제2권1호
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    • pp.35-56
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    • 1996
  • Nowerdays, the increase of traffic accidents and old age population make the Femoral Neck Fracture(FNF) patients increase. By the improvement of education and standard of living the patients demand better medical service than before. This study is designed to give practical help for the FNF patients by observing their hospital life and establish practical nursing strategies for the FNF patients. For these purposes the Ethnographic Participant Observation was adopted. By this study is focused on the hospital life patient's view. For this end, the field study adopted orthopedic ward in the C University Hospital with 400 beds in Seoul. The object patients of the study were twelve patients. The patients experienced five stages : Embarrassment, Conflict, Stability, Independent, and Extension Stage. The findings and prepared nursing strategies are stated as follows. First, in the Embarrassment Stage they suffered embarrassment, anxiety, pain, they could not do ordinary things. The patients who accidental fractures had anxiety from unfamiliar tests and from hospitalization itself. They lamented that they could not ordinary things, and do nothing but obeying the hospital, and endure the pain. They recognized the changed environment and resigned themselves to life in the ward. In this stage, full openness by the nurses is needed. Second, the attribute of the Conflict Stage were conflict, fear, curiosity, belief, reflection. When they sign the consentment form, they experience conflicts about the possibility of complication, fear of recovery from anesthesia, curiosity about the operation procedure, post - operation state, reflection on their past life, and promise to care for their family members after discharge and keep their religious life faithfully. And they accepted the operation depending on God, believing in modern medicine, and the surgeon. Asking for their changed informations, they expected positive results from the operation. In this stage, an empathic attitude by the nurses is needed. Third, the attribute of the Stability Stage were relief, gratitude, difficulty with excretion, and pain. When they awoke from anesthesia, they felt relief because of a the end of the operation, but they experienced extreme pain, difficulty of excretion in bed. They accepted the changed environment and expected recovery. In this stage, support by the nurses is needed. Fourth, the attributes of the Independence Stage were freedom, exercise, nurturing, anxiety, and discomfort. When they ambulated and exercised, they experienced freedom. They showed exhibited weakness of the digestive organs and discomfort hospital's space, structure, and facilities, the delay of medical certificate issue the lack of prompt response by the medical agents. They ate nurturious food and felt anxiety on the end of hospital life and returning to their ordinary life. They showed the independence of overcoming their environment by increasing exercise and expected their discharges. In this stage, respect by the nurses is needed for the patients to, overcome their environment and prepare for their independence. Fifth, the attributes of the Extension Stage were pessimism, isolation, dissatisfaction, and pain. Accompanied injury and old age made their ward life extend to over seven weeks. They exhibited weariness, melancholy, skeptisis, general pessimistic feeling, and desperation caused by their isolated life. They experienced the digestive discomfort caused by the prolonged medication and psycological pain caused by long-time hospitalization. As a, result, their dissatisfaction on the human, physical, and systematic environments had been increased. They acquired critical power and sought for something to do spending their time. They expected vaguely about the returning of their ordinary life. In this stage, counseling is needed by the nurse to overcome positively their psychological, social, and physical problems. The process of the FNF patient's ward life starts from the dependent state, when they are hospitalized, and gradually progresses to self-fulfillment in order to keep independent life. As a result, the FNF patients showed "Response in Challenge" or "Adaptation in Conflict" through their experiences of social, physical, and psychological difficulties.

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