• Title/Summary/Keyword: safety score

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A Study on the Evaluation Technique of Intelligent Security Technology Based on Spatial Information : Multi-CCTV Collaboration Technology (공간정보 기반 지능형 방범 기술의 기술성 평가 방안에 관한 연구 : 다중 CCTV 협업 기술을 대상으로)

  • Han, Sun-Hee;Shin, Young-Seob;Lee, Jae-Yong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.7
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    • pp.111-118
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    • 2019
  • In this age where the social environment is changing rapidly and unpredictably, interest in safety from crime is increasing in Korean society. As the desire to live a life free from the fear of crime increases, interest in the construction of safe cities is also rising nationwide. For this, it is important to develop precision-positioning technology and support-service and intelligent security-service technology based on spatial information. Therefore, this study analyzes cases of multiple CCTV collaboration technology from among the intelligent-security technologies, and evaluates the technology's guarantee system through the evaluation system of the Technology Guarantee Fund, and evaluates continuity based on innovation, spreadability, usability, and proposed commercialization in order to enable utilization and commercialization. As a result of analyzing multiple CCTV collaborative technologies through the evaluation system of the Technology Guarantee Fund, the technology with the highest outlook was given five points, and the others were rated as excellent in terms of spreadability, usability, and differentiation. For innovation, the score was three points lower than the other evaluation items, but we expect to overcome that by introducing the latest technology and converging it with other technologies, such as the Internet of Things.

The Study of Correlation Between the Balance, Cognition and Activity of Daily Living in Stroke Patients (뇌졸중 환자의 균형, 인지, 일상생활 평가의 상관성 연구)

  • Kang, Bo-Ra;Jeong, Eun-Song;Kim, Jae-Hee;Ha, Yoo-Na
    • Journal of Korean Society of Neurocognitive Rehabilitation
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    • v.10 no.2
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    • pp.45-52
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    • 2018
  • The purpose of the present study was to determine correlations between the Berg Balance Scale (BBS), Montreal Cognitive Assessment-Korean (MoCA-K) and Modified Barthel Index (MBI) targeting stroke patients, and it seeks to analyze the influence among each factor to establish the fundamental research in evaluating the functional performance capability of stroke patients. The study was conducted between December 2017 and March 2018 and the target of the study was 34 stroke patients who are hospitalized and treated in Y rehabilitation hospital located in Goyang city. Following in criteria of how participants were selected. First, a person without the onset of 6months or more. Second, a person who can communicate and score over 20 points on MMSE-K. Third, a person without unilateral neglect. Fourth, a person without lower motor neuron lesion and orthopedic disease on the bilateral lower extremity. Fifth, a person without audiovisual problem and history of using drug or surgery that influence athletic function. sixth, patients who agreed on participating in the study. The evaluation was processed by measuring BBS, MoCA-K, and MBI with the occupational therapist and physical therapist. Also, one assistant was participated in measuring balanced ability for the safety reason. It was found that significantly correlates (p<.01) with BBS and MoCA-K (r=.459), BBS and MBI (r=.550), MoCA-K and MBI (r=.565). This study is meaningful that it provided the basis for the active use of BBS, MoCA-K and MBI as a clinical evaluation tool and its usefulness.

Analysis of the factors influencing customer satisfaction of delivery food (배달음식 이용고객의 만족도에 영향을 미치는 요인 분석)

  • Park, Min-Seo;Bae, Hyun-Joo
    • Journal of Nutrition and Health
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    • v.53 no.6
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    • pp.688-701
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    • 2020
  • Purpose: This study was performed to evaluate the importance and satisfaction of the selective attributes of delivery food and to analyze the factors affecting customer satisfaction. Methods: A total of 574 responses were collected from customers who had ordered delivery food for data analysis. Statistical analyses were conducted using the SPSS program (ver. 25.0) for frequency analysis, χ2 tests, t-test, factor analysis, Pearson correlation, multiple regression analysis, and Importance-Performance Analysis (IPA). Results: The importance of delivery food selection attributes was higher in the order of 'hygiene control level (4.72)', 'taste of food (4.64)', and 'delivery accuracy (4.40)'. Satisfaction assessment was higher in the order of 'taste of food (4.32)', 'delivery accuracy (4.26)', and 'convenience of using the delivery app (4.21)'. According to the results of IPA, items that were priorities for improvement were charges for delivery, discount offers, sufficient description of the menu, and rapid handling of customer complaints. On an average, overall customer satisfaction score of delivery food was 4.01 out of 5 points. Additionally, five satisfaction factors were extracted by exploratory factor analysis. According to the results of multiple regression analysis, quality of delivery platform (p < 0.001), quality of delivery service (p < 0.001), convenience and diversity (p < 0.001), quality of delivery food (p < 0.001), and health and safety (p < 0.001) had significant positive effects on overall customer satisfaction. Conclusion: To increase customer satisfaction among delivery food customers, restaurant or delivery platform managers should consistently improve not only the quality of the delivery platform but also the quality of the delivery food and service.

A Systematic Review of Acupuncture for Allergic Rhinitis (알레르기 비염의 침 치료에 대한 체계적 고찰)

  • Mun, Byeong-gwon;Lee, Yu-ri;Cho, Na-kyung;Kim, Kyung-soon;Choi, Hong-sik;Kim, Seung-mo
    • The Journal of Internal Korean Medicine
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    • v.41 no.6
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    • pp.1100-1118
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    • 2020
  • Objectives: The purpose of this study was to assess the effects of acupuncture as a treatment for allergic rhinitis (AR). We used a meta-analysis and systematic review to analyze the results of randomized controlled trials (RCTs) that applied acupuncture to AR patients. Methods: The key question assessed the effects of acupuncture on patients with AR, and we included only RCTs. We searched the KoreaMed, NDSL, KMBASE, Koreantk, OASIS, PubMed, EMBASE, and Cochrane databases, with no language restriction. We assessed risk of bias with the Cochrane Risk of Bias tool. The random effects model was used to adjust for the heterogeneity of the included studies, and the effect sizes between two groups were reported as mean differences (MD) and risk ratios (RR). Results: Twelve RCTs were analyzed, with a total of 1788 participants; 824 participants were in the treatment group (i.e., acupuncture) and 964 were in the control group (sham acupuncture, western medicine, or waitlist). The meta-analysis results of 7 RCTs comparing the therapeutic efficacy of acupuncture with that of sham acupuncture showed a statistically significant difference (p<0.05) in the Rhinoconjunctivitis Quality of Life Questionnaire (RQLQ) and the Change of Total Nasal Symptom Score (TNSS). The meta-analysis of 4 RCTs comparing the therapeutic efficacy of acupuncture with western medicine showed statistically significant differences (p<0.05) in the RQLQ but not in the changes in effective rate (p>0.05). Conclusions: Acupuncture can be an effective treatment for AR, but more studies are required to enhance the level of evidence and to confirm safety.

Improving Efficiency of Food Hygiene Surveillance System by Using Machine Learning-Based Approaches (기계학습을 이용한 식품위생점검 체계의 효율성 개선 연구)

  • Cho, Sanggoo;Cho, Seung Yong
    • The Journal of Bigdata
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    • v.5 no.2
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    • pp.53-67
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    • 2020
  • This study employees a supervised learning prediction model to detect nonconformity in advance of processed food manufacturing and processing businesses. The study was conducted according to the standard procedure of machine learning, such as definition of objective function, data preprocessing and feature engineering and model selection and evaluation. The dependent variable was set as the number of supervised inspection detections over the past five years from 2014 to 2018, and the objective function was to maximize the probability of detecting the nonconforming companies. The data was preprocessed by reflecting not only basic attributes such as revenues, operating duration, number of employees, but also the inspections track records and extraneous climate data. After applying the feature variable extraction method, the machine learning algorithm was applied to the data by deriving the company's risk, item risk, environmental risk, and past violation history as feature variables that affect the determination of nonconformity. The f1-score of the decision tree, one of ensemble models, was much higher than those of other models. Based on the results of this study, it is expected that the official food control for food safety management will be enhanced and geared into the data-evidence based management as well as scientific administrative system.

A Comparative Study of a Deeply-inserted Acupotomy Applied to Hyeopcheok Points and Usual Korean Medicine Treatments for Lumbosacral Radiculopathy: Safety, Effectiveness, Cost-effectiveness: A Study Protocol (요천추신경병증에 대한 심부협척 도침술과 한의통상치료의 효과 비교: 안전성, 유효성, 경제성평가: 연구 프로토콜)

  • Heo, In;Lee, Jin-Hyun;Ko, Youn-Suk;Jo, Dong Chan;Kim, Young Il;Lee, Sang-Hyun;Hwang, Eui-Hyoung;Park, Tae-Yong;Hwang, Man-Suk
    • The Journal of Churna Manual Medicine for Spine and Nerves
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    • v.16 no.2
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    • pp.69-77
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    • 2021
  • 연구 배경 최근 한국 및 중국에서 근골격계 질환에 대한 도침술의 활용이 늘고 있다. 하지만 현재까지의 임상연구는 대부분 증례보고 형태에 그치거나, 충분한 근거가 확보되지는 않은 실정이다. 우리는 요천추신경병증환자의 치료에 있어 도침치료와 통상한의치료와의 비교를 통해 도침치료의 유효성, 안전성, 경제성 평가를 시행하기 위해 본 연구를 기획하게 되었다. 연구 방법 본 연구는 예비임상 연구로, 다기관에서 진행되며, 무작위대조군, 활성 대조군을 통한 2개군 병행집단 연구로 평가자 맹검을 시행하게 된다. 이 연구에서는 총 50명의 요천추신경병증 환자를 대상으로 2개군으로 균등하게 분배하여 도침술 또는 통상한의치료를 시행하게 된다(각군당 25명). 도침술 그룹의 경우 협척혈에 도침치료를 시행 받게 되며, 통상 한의치료군은 연구자 판단하에 도침술을 제외한 적절한 한의치료를 시행 받게 된다. 두 개의 그룹은 주당 2회씩 총 3주간 치료를 받게 된다. 일차 유효성 평가는 요통으로 인한 기능장애를 평가하기 위한 Oswestry disability index를 통해 시행한다. 이차 유효성 평가지표로는 numeric rating scale, European Quality of Life 5-Dimension 5-Level, short-form McGill Pain Questionnaire, Roland-Morris Disability Questionnaire scores를 시행하게 된다. 고찰 본 예비임상연구의 결과는 추후 있을 요천추신경병증에 대한 도침치료 및 한의통상치료 비교효과 연구의 유효성, 경제성평가 본 임상연구를 위한 기초 정보 및 가능성을 확인하고 적절한 대상자수 산정에 도움이 될 것이다.

Analysis of Korean Citizens' Preparedness for Earthquake Hazards (지진 재해에 대한 시민들의 준비도 분석)

  • Lee, Kiyoung;Ha, Minsu;Han, Ju;Lee, Changwook
    • Journal of the Korean earth science society
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    • v.43 no.1
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    • pp.199-209
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    • 2022
  • In this study, we analyzed the preparedness of Korean citizens for earthquake hazards. For this purpose, we developed a questionnaire on the preparedness of citizens for earthquake hazards, consisting of three constructs (knowledge, awareness, and management). A total of 1,256 citizen responses were collected through probability proportionate-to-size sampling and then subjected to Rasch analysis, inferential statistical analysis, and cluster analysis. The findings are as follows. First, questionnaire analysis showed that overall, the earthquake preparedness of citizens was 'normal', with a lower management score than knowledge and awareness scores. Second, analysis of variables related to preparedness for earthquake hazards, gender, education level, actual distance, and safety awareness were found to influence preparedness for earthquake hazards. Third, correlation analysis revealed a high correlation between the three constructs of preparedness for earthquake hazards, namely knowledge, awareness, and management, indicating a structurally close relationship with each other. In addition, even if gender and education level differed, these structural correlations were similar. Through cluster analysis, the citizens were further divided into five groups; the group with moderate levels of the three constructs accounted for the majority of citizens. Considering these findings, we propose an educational orientation that fosters the preparedness of citizens for earthquake hazards.

Development of Fender Segmentation System for Port Structures using Vision Sensor and Deep Learning (비전센서 및 딥러닝을 이용한 항만구조물 방충설비 세분화 시스템 개발)

  • Min, Jiyoung;Yu, Byeongjun;Kim, Jonghyeok;Jeon, Haemin
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.26 no.2
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    • pp.28-36
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    • 2022
  • As port structures are exposed to various extreme external loads such as wind (typhoons), sea waves, or collision with ships; it is important to evaluate the structural safety periodically. To monitor the port structure, especially the rubber fender, a fender segmentation system using a vision sensor and deep learning method has been proposed in this study. For fender segmentation, a new deep learning network that improves the encoder-decoder framework with the receptive field block convolution module inspired by the eccentric function of the human visual system into the DenseNet format has been proposed. In order to train the network, various fender images such as BP, V, cell, cylindrical, and tire-types have been collected, and the images are augmented by applying four augmentation methods such as elastic distortion, horizontal flip, color jitter, and affine transforms. The proposed algorithm has been trained and verified with the collected various types of fender images, and the performance results showed that the system precisely segmented in real time with high IoU rate (84%) and F1 score (90%) in comparison with the conventional segmentation model, VGG16 with U-net. The trained network has been applied to the real images taken at one port in Republic of Korea, and found that the fenders are segmented with high accuracy even with a small dataset.

Detection of Marine Oil Spills from PlanetScope Images Using DeepLabV3+ Model (DeepLabV3+ 모델을 이용한 PlanetScope 영상의 해상 유출유 탐지)

  • Kang, Jonggu;Youn, Youjeong;Kim, Geunah;Park, Ganghyun;Choi, Soyeon;Yang, Chan-Su;Yi, Jonghyuk;Lee, Yangwon
    • Korean Journal of Remote Sensing
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    • v.38 no.6_2
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    • pp.1623-1631
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    • 2022
  • Since oil spills can be a significant threat to the marine ecosystem, it is necessary to obtain information on the current contamination status quickly to minimize the damage. Satellite-based detection of marine oil spills has the advantage of spatiotemporal coverage because it can monitor a wide area compared to aircraft. Due to the recent development of computer vision and deep learning, marine oil spill detection can also be facilitated by deep learning. Unlike the existing studies based on Synthetic Aperture Radar (SAR) images, we conducted a deep learning modeling using PlanetScope optical satellite images. The blind test of the DeepLabV3+ model for oil spill detection showed the performance statistics with an accuracy of 0.885, a precision of 0.888, a recall of 0.886, an F1-score of 0.883, and a Mean Intersection over Union (mIOU) of 0.793.

Early Outcomes of Robotic Versus Video-Assisted Thoracoscopic Anatomical Resection for Lung Cancer

  • Park, Ji Hyeon;Park, Samina;Kang, Chang Hyun;Na, Bub Se;Bae, So Young;Na, Kwon Joong;Lee, Hyun Joo;Park, In Kyu;Kim, Young Tae
    • Journal of Chest Surgery
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    • v.55 no.1
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    • pp.49-54
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    • 2022
  • Background: We compared the safety and effectiveness of robotic anatomical resection and video-assisted thoracoscopic surgery (VATS). Methods: A retrospective analysis was conducted of the records of 4,283 patients, in whom an attempt was made to perform minimally invasive anatomical resection for lung cancer at Seoul National University Hospital from January 2011 to July 2020. Of these patients, 138 underwent robotic surgery and 4,145 underwent VATS. Perioperative outcomes were compared after propensity score matching including age, sex, height, weight, pulmonary function, smoking status, performance status, comorbidities, type of resection, combined bronchoplasty/angioplasty, tumor size, clinical T/N category, histology, and neoadjuvant treatment. Results: In total, 137 well-balanced pairs were obtained. There were no cases of 30-day mortality in the entire cohort. Conversion to thoracotomy was required more frequently in the VATS group (VATS 6.6% vs. robotic 0.7%, p=0.008). The complete resection rate (VATS 97.8% vs. robotic 98.5%, p=1.000) and postoperative complication rate (VATS 17.5% vs. robotic 19.0%, p=0.874) were not significantly different between the 2 groups. The robotic group showed a slightly shorter hospital stay (VATS 5.8±3.9 days vs. robotic 5.0±3.6 days, p=0.052). N2 nodal upstaging (cN0/pN2) was more common in the robotic group than the VATS group, but without statistical significance (VATS 4% vs. robotic 12%, p=0.077). Conclusion: Robotic anatomical resection in lung cancer showed comparable early outcomes when compared to VATS. In particular, robotic resection presented a lower conversion-to-thoracotomy rate. Furthermore, a robotic approach might improve lymph node harvesting in the N2 station.