• Title/Summary/Keyword: Protective Intelligence

Search Result 23, Processing Time 0.026 seconds

A Study on the Protective Countermeasures through the Assassination Accident Analysis of Israeli Premier Yitzhak Rabin (라빈수상 위해사건 분석을 통한 경호적 대응방안)

  • Lee, Doo-Suck
    • Korean Security Journal
    • /
    • no.15
    • /
    • pp.221-242
    • /
    • 2008
  • Protection is to maximize the protectee's physical security by minimizing the threats and minimizing the damages caused by the threats. From this point of view, the assassination case of Israel's former Premier Yitzhak Rabin who devoted himself to proceed peace process in Middle East, on November 4, 1995, gives us a lot of lessons on protection. At that time, Israeli society was chaotic with anti-Rabin and anti-government demonstrations which is against Rabin's peace process, and they openly threatened to assassinate Premier Rabin. However, Shin Bet, Israeli Protective Agency, didn't reacted against the assassination threats effectively. Also they have to try to secure friendly public to widen the width of selection in case of crisis and to secure the credibility of the organization. They have to prevent harmful activities in advance by securing wide intelligence networks to collect and analyze various protective intelligences and preparing proper protective countermeasures. Intelligence is a basic element in protection and any protective measures not supported by intelligence activities are not useful and effective. Potential attackers study their target thoroughly and make an elaborate plan before their attack. Advance team is required to conduct security measures on a basis of analysis of vulnerability and threat factors, and close protection team should be prepared for the changing situations with crisis-consciousness. Is security, 100% perfection is not possible. However, Shin Bet failed to analyze and approach to the existing threats. They forgot the fact that security environment reflects social situations. Protection agents should be conscious of the fact that today is different from yesterday. So we have to expect what is not expected when not expected.

  • PDF

Stressful Life Experience and Protective Factors of Resilient Children (탄력적인 아동의 보호요인 연구 - 아동의 성과 지능, 어머니 양육행동 및 사회경제적 지위를 중심으로 -)

  • Lee, Yong-Jun;Park, Kyung Ja
    • Korean Journal of Child Studies
    • /
    • v.26 no.1
    • /
    • pp.329-345
    • /
    • 2005
  • Gender and intelligence of children, parenting practices and socioeconomic status of parents were studied to investigate whether they functioned as protective factors for resilient children. Total of 556 children of 12 years of age were contacted for the study. Teachers were asked to rate the children's interpersonal competence. Children reported their experience of stressful life events on a checklist. Based on the competence scores and the experience of stressful life events, 107 children were classified into adaptive, resilient, and maladaptive group. IQ scores were assessed using an intelligence test for the 107 children. Mothers reported their parenting practices and their socioeconomic status through a questionnaire. Descriptive statistics, chi-squares, t-tests, and one-way ANOVAs were performed to analyze the data. There was no difference in their experience of stressful life events between boys and girls. Girls were rated as being more competent by their teachers. There were more girls in the adaptive and the resilient group and more boys in the maladaptive group. Children in adaptive and the resilient group had higher intelligence scores than the maladaptive group. Mothers of resilient children replied as being warm and acceptive and more refusing and controlling than mothers of the adaptive children Group differences in socioeconomic status of the family were not found. Thus, being a girl and having higher IQ scores were the protective factors for the resilient children.

  • PDF

Parametric Evaluation Method of Protectability in a Distribution System (파라메터 관점에서의 배전계통 보호도 평가방법)

  • Cho, P.S.;Hyun, S.H.;Lim, S.I.;Lee, S.J.;Lee, D.S.;Waldemar, Waldemar
    • Proceedings of the KIEE Conference
    • /
    • 2002.11b
    • /
    • pp.241-243
    • /
    • 2002
  • Recently, great efforts are concentrated on the autonomous, adaptive protection schemes with advanced artificial intelligence and digital technology. It is highly required for a next generation protective system not only to detect and to clear a fault, but also to fit itself to the changing environment. In this paper it is suggested an evaluation method for the protection ability of a protective system in a distributed system. The suggested method is of bottom-up scheme, in other words, protection ability is estimated from the lowest level of parameters in each protective devices to the highest level of the whole protective system. This feature makes it possible to evaluate the protection ability either for the protective device(or a system), or for a protected system. And, in addition, it is enabled that the protectability concept can be applied in the design stage of a protective system for a distribution network. The proposed method is applied to a simple distributed network to show its effectiveness.

  • PDF

The Bioecological Variables Affecting Children's Multiple Intelligences - With a Focus on Child's Temperament, Mother's Parenting Style and Goodness of Fit - (유아의 다중지능과 관련된 생물생태학적 변인 연구 - 유아의 기질 및 어머니의 양육태도, 조화적합성을 중심으로 -)

  • Suh, Joo-Hyun;Yi, Soon-Hyung
    • Journal of Families and Better Life
    • /
    • v.27 no.6
    • /
    • pp.229-242
    • /
    • 2009
  • This study investigates how bioecological variables affect the child's multiple intelligence through independent and interactional ways. The subjects of this study were 147 pairs of 5-year-old children and their mothers, and the Project Spectrum was employed to measure multiple intelligences. Each mothers was asked to answer a questionnaire on her child's temperament, her maternal parenting style, 'goodness of fit' and 'the fit of child's intelligence'. Data were analyzed using a factor analysis and a hierarchical multiple regression with SPSS WIN 15.0. The main findings were as followings; First, 'the goodness of fit' to the child's temperament moderated the effect of a maternal parenting style that would foster child's dependency on the mathematical intelligence through interaction. 'The fit of child's intelligence' also moderated the effect of maternal positive parenting style to the child's mathematical intelligence. Second, in language intelligence, girls were more verbally intelligent than boys. In that regard, because the sex variable entails a combination of both inherent attribute and social-cultural effects, that result can be interpreted as an interaction between the individual and the environment. Lastly, a maternal parenting style that would foster child's dependency moderated the effect of the child's regular temperament on interpersonal intelligence. This means that the child's regular temperament can be a protective factor for the negative effect of a maternal parenting style that would foster child's dependency This study suggests that interactional factors such as 'goodness of fit' should be considered in studies involving children.

A study on Detecting the Safety helmet wearing using YOLOv5-S model and transfer learning

  • Kwak, NaeJoung;Kim, DongJu
    • International Journal of Advanced Culture Technology
    • /
    • v.10 no.1
    • /
    • pp.302-309
    • /
    • 2022
  • Occupational safety accidents are caused by various factors, and it is difficult to predict when and why they occur, and it is directly related to the lives of workers, so the interest in safety accidents is increasing every year. Therefore, in order to reduce safety accidents at industrial fields, workers are required to wear personal protective equipment. In this paper, we proposes a method to automatically check whether workers are wearing safety helmets among the protective equipment in the industrial field. It detects whether or not the helmet is worn using YOLOv5, a computer vision-based deep learning object detection algorithm. We transfer learning the s model among Yolov5 models with different learning rates and epochs, evaluate the performance, and select the optimal model. The selected model showed a performance of 0.959 mAP.

Domestic Occupational Therapist Awareness Survey for the Need to Apply Artificial Intelligence Measurement Technology for Clinical Observation Evaluation Based on Sensory Integration (감각통합에 기초한 임상 관찰 평가의 AI 측정 기술 적용 필요성을 위한 국내 작업치료사 인식 조사)

  • Cho, Sun-Young;Jung, Young-Jin;Kim, Jung-Ran
    • Therapeutic Science for Rehabilitation
    • /
    • v.12 no.1
    • /
    • pp.23-35
    • /
    • 2023
  • Objective : This study is to examine the practical use of clinical observational evaluation of sensory integration therapy and the difficulty and importance of measuring results for each sub-item, and through this, to confirm the usefulness of the application of Artificial Intelligence measurement technology in clinical observational measurement and the need for application. Methods : The questionnaire consisted of the actual use of the sensory integration evaluation tool, the difficulty of measurement for each detailed item of clinical observation, the usefulness of AI measurement technology, the importance of evaluation for each detailed item, and the need for developing AI measurement technology. Results : The detailed items that were difficult to measure during clinical observation were the Finger-to-Nose Test and Postural control (71.0%), followed by Eye movement and Protective Extension Test (67.7%). 83.9% of the study subjects answered that it would be useful to apply AI measurement technology when observing images. Postural control (on the ball) (90.3%) was the highest item that answered that AI measurement technology was needed, followed by Eye movement (83.9%), and Prone Extension and Protective Extension Test (77.4%). Conclusion : The results confirmed the desire of therapists that clinical observation is an important evaluation tool in the field of child occupational therapy in Korea.

Matrix Metalloproteinase-8 Inhibitor Ameliorates Inflammatory Responses and Behavioral Deficits in LRRK2 G2019S Parkinson's Disease Model Mice

  • Kim, Taewoo;Jeon, Jeha;Park, Jin-Sun;Park, Yeongwon;Kim, Jooeui;Noh, Haneul;Kim, Hee-Sun;Seo, Hyemyung
    • Biomolecules & Therapeutics
    • /
    • v.29 no.5
    • /
    • pp.483-491
    • /
    • 2021
  • Parkinson's disease (PD) is a neurodegenerative disorder that involves the loss of dopaminergic neurons in the substantia nigra (SN). Matrix metalloproteinases-8 (MMP-8), neutrophil collagenase, is a functional player in the progressive pathology of various inflammatory disorders. In this study, we administered an MMP-8 inhibitor (MMP-8i) in Leucine-rich repeat kinase 2 (LRRK2) G2019S transgenic mice, to determine the effects of MMP-8i on PD pathology. We observed a significant increase of ionized calcium-binding adapter molecule 1 (Iba1)-positive activated microglia in the striatum of LRRK2 G2019S mice compared to normal control mice, indicating enhanced neuro-inflammatory responses. The increased number of Iba1-positive activated microglia in LRRK2 G2019S PD mice was down-regulated by systemic administration of MMP-8i. Interestingly, this LRRK2 G2019S PD mice showed significantly reduced size of cell body area of tyrosine hydroxylase (TH) positive neurons in SN region and MMP-8i significantly recovered cellular atrophy shown in PD model indicating distinct neuro-protective effects of MMP-8i. Furthermore, MMP-8i administration markedly improved behavioral abnormalities of motor balancing coordination in rota-rod test in LRRK2 G2019S mice. These data suggest that MMP-8i attenuates the pathological symptoms of PD through anti-inflammatory processes.

Protective Relaying Algorithm for Transformer Using ACI based on Wavelet Transform (웨이브렛 변환기반 ACI 기법을 이용한 변압기 보호계전 알고리즘)

  • Lee, Myoung-Rhun;Lee, Jong-Beom
    • Proceedings of the KIEE Conference
    • /
    • 2004.11b
    • /
    • pp.293-296
    • /
    • 2004
  • This paper proposes a new protective relaying algorithm using ACI(Advanced Computational Intelligence) and wavelet transform. To organize the advanced neuro-fuzzy algorithm, it is important to select target data reflecting various transformer transient states. These data are made of changing-rates of D1 coefficient and RSM value within half cycle after fault occurrence. Subsequently, the advanced neuro-fuzzy algorithm is obtained by converging the target data. As a result of applying the advanced neuro-fuzzy algorithm, discrimination between internal fault and inrush is correctly distinguished within half cycle after fault occurrence. Accordingly, it is evaluated that the proposed algorithm can effectively protect a transformer by correcting discrimination between winding fault and inrushing state.

  • PDF

The Effects of Practical Problem Based Home Economics Instruction Using Multiple Intelligences for the Prevention of School Violence by High School Students (다중지능을 활용한 실천적 문제 중심 가정과 수업이 고등학생들의 학교폭력 예방에 미치는 효과)

  • Choi, Seong-Youn;Chae, Jung-Hyun
    • Human Ecology Research
    • /
    • v.56 no.3
    • /
    • pp.283-300
    • /
    • 2018
  • This study examined the effects of a practical problem based home economics instruction using multiple intelligences teaching and learning methods for the prevention school violence by high school students'. The contents of this study are as follow. 1) Develop the practical problem-based instruction using multiple intelligence and teaching and learning strategies for each protective factor both in teaching method aspects and learning content aspects during the 29-period of lesson plans. 2) Examine the effects of the instruction in the changes of pre- and post- impulsivity and aggression, self-esteem, empathy and attitudes to school violence after implementing home economics lesson plans. 3) Evaluate the instruction. The subjects of this study were 288 first grade students (124 male and 164 female students). The study utilizes a quasi-experimental pre-post design. The effect of the instruction by the paired t-test results showed that the aggression and impulsivity by the learners had been lowered; however, empathy and self-esteem increased; in addition, learners' attitudes toward school violence had changed positively. In conclusion, self-esteem in school as sub-variables of self-esteem increased; however, there was no statistically significant difference.

Applications and Concerns of Generative AI: ChatGPT in the Field of Occupational Health (산업보건분야에서의 생성형 AI: ChatGPT 활용과 우려)

  • Ju Hong Park;Seunghon Ham
    • Journal of Korean Society of Occupational and Environmental Hygiene
    • /
    • v.33 no.4
    • /
    • pp.412-418
    • /
    • 2023
  • As advances in artificial intelligence (AI) increasingly approach areas once relegated to the realm of science fiction, there is growing public interest in using these technologies for practical everyday tasks in both the home and the workplace. This paper explores the applications of and implications for of using ChatGPT, a conversational AI model based on GPT-3.5 and GPT-4.0, in the field of occupational health and safety. After gaining over one million users within five days of its launch, ChatGPT has shown promise in addressing issues ranging from emergency response to chemical exposure to recommending personal protective equipment. However, despite its potential usefulness, the integration of AI into scientific work and professional settings raises several concerns. These concerns include the ethical dimensions of recognizing AI as a co-author in academic publications, the limitations and biases inherent in the data used to train these models, legal responsibilities in professional contexts, and potential shifts in employment following technological advances. This paper aims to provide a comprehensive overview of these issues and to contribute to the ongoing dialogue on the responsible use of AI in occupational health and safety.