• Title/Summary/Keyword: Q 학습

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Development of Artificial Intelligence-based Legal Counseling Chatbot System

  • Park, Koo-Rack
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.3
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    • pp.29-34
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    • 2021
  • With the advent of the 4th industrial revolution era, IT technology is creating new services that have not existed by converging with various existing industries and fields. In particular, in the field of artificial intelligence, chatbots and the latest technologies have developed dramatically with the development of natural language processing technology, and various business processes are processed through chatbots. This study is a study on a system that provides a close answer to the question the user wants to find by creating a structural form for legal inquiries through Slot Filling-based chatbot technology, and inputting a predetermined type of question. Using the proposal system, it is possible to construct question-and-answer data in a more structured form of legal information, which is unstructured data in text form. In addition, by managing the accumulated Q&A data through a big data storage system such as Apache Hive and recycling the data for learning, the reliability of the response can be expected to continuously improve.

A Study on the Factors Affecting the Intention of Continuous Use of Intelligent Government Administrative Services (지능형 정부 행정서비스 지속사용의도에 영향을 미치는 요인에 대한 연구)

  • Lee, Se-Ho;Han, Seung-jo;Park, Kyung-Hye
    • Journal of Digital Convergence
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    • v.19 no.11
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    • pp.85-93
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    • 2021
  • The government is pursuing plans to create new e-government services. In terms of improving business procedures, dBrain (finance), e-people (personnel), and Onnara (electronic payment and business management) have achieved considerable results, and are currently making efforts to improve existing administrative services using newly emerged ICT. Among them, this paper attempted to study whether self-learning-based intelligent administrative services are efficient in the work process of public officials promoting actual work and affect their continued use. Based on individual perceptions and attitudes toward advanced ICTs such as AI, big data, and blockchain, public officials' influences on administrative services were identified and verified using UTAUT variables. They believe that the establishment and introduction of innovative administrative services can be used more efficiently, and they have high expectations for the use and provision of services as ICT develops. In the future, a model will be also applied to citizens

Development and Validation of a Machine Learning-based Differential Diagnosis Model for Patients with Mild Cognitive Impairment using Resting-State Quantitative EEG (안정 상태에서의 정량 뇌파를 이용한 기계학습 기반의 경도인지장애 환자의 감별 진단 모델 개발 및 검증)

  • Moon, Kiwook;Lim, Seungeui;Kim, Jinuk;Ha, Sang-Won;Lee, Kiwon
    • Journal of Biomedical Engineering Research
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    • v.43 no.4
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    • pp.185-192
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    • 2022
  • Early detection of mild cognitive impairment can help prevent the progression of dementia. The purpose of this study was to design and validate a machine learning model that automatically differential diagnosed patients with mild cognitive impairment and identified cognitive decline characteristics compared to a control group with normal cognition using resting-state quantitative electroencephalogram (qEEG) with eyes closed. In the first step, a rectified signal was obtained through a preprocessing process that receives a quantitative EEG signal as an input and removes noise through a filter and independent component analysis (ICA). Frequency analysis and non-linear features were extracted from the rectified signal, and the 3067 extracted features were used as input of a linear support vector machine (SVM), a representative algorithm among machine learning algorithms, and classified into mild cognitive impairment patients and normal cognitive adults. As a result of classification analysis of 58 normal cognitive group and 80 patients in mild cognitive impairment, the accuracy of SVM was 86.2%. In patients with mild cognitive impairment, alpha band power was decreased in the frontal lobe, and high beta band power was increased in the frontal lobe compared to the normal cognitive group. Also, the gamma band power of the occipital-parietal lobe was decreased in mild cognitive impairment. These results represented that quantitative EEG can be used as a meaningful biomarker to discriminate cognitive decline.

Double-processed ginseng berry extracts enhance learning and memory in an Aβ42-induced Alzheimer's mouse model (Aβ42로 유도된 알츠하이머 마우스 모델에서 이중 가공 인삼열매 추출물의 학습 및 기억 손실 개선 효과)

  • Jang, Su Kil;Ahn, Jeong Won;Jo, Boram;Kim, Hyun Soo;Kim, Seo Jin;Sung, Eun Ah;Lee, Do Ik;Park, Hee Yong;Jin, Duk Hee;Joo, Seong Soo
    • Korean Journal of Food Science and Technology
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    • v.51 no.2
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    • pp.160-168
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    • 2019
  • This study aimed to determine whether double-processed ginseng berry extract (PGBC) could improve learning and memory in an $A\hat{a}42$-induced Alzheimer's mouse model. Passive avoidance test (PAT) and Morris water-maze test (MWMT) were performed after mice were treated with PGBC, followed by acetylcholine (ACh) measurement and glial fibrillary acidic protein (GFAP) detection for brain damage. Furthermore, acetylcholinesterase (AChE) activity and choline acetyltransferase (ChAT) expression were analyzed using Ellman's and qPCR assays, respectively. Results demonstrated that PGBC contained a high amount of ginsenosides (Re, Rd, and Rg3), which are responsible for the clearance of $A{\hat{a}} 42$. They also helped to significantly improve PAT and MWMT performance in the $A{\hat{a}} 42-induced$ Alzheimer's mouse model when compared to the normal group. Interestingly, ACh and ChAT were remarkably upregulated and AChE activities were significantly inhibited, suggesting PGBC to be a palliative adjuvant for treating Alzheimer's disease. Altogether, PGBC was found to play a positive role in improving cognitive abilities. Thus, it could be a new alternative solution for alleviating Alzheimer's disease symptoms.

An Exploratory Study on Social Presence in Synchronous Distance Course : Focused on the Cases of Christian Education Classes (실시간 화상 수업에서의 사회적 실재감 탐색 : 기독교교육 수업 사례를 중심으로)

  • Park, Eunhye;Sung, Jihoon
    • Journal of Christian Education in Korea
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    • v.64
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    • pp.203-235
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    • 2020
  • The purpose of this study is to identify the degree of social presence perceived by students and to explore the factors that have affected it after practicing Christian Education classes as synchronous distance course due to Covid-19. It is also to suggest effective ways in the aspects of the design and operation to improve social presence. In order to measure social presence and derive influencing factors, research related to synchronous distance class and social presence is summarized through literature review. The researchers also surveyed 58 students in three courses of Christian education major at a University in Gyeonggi-do and conducted in-depth interviews with 6 students. The main findings are as follows: First, the sense of social presence was moderate, the emotional bond was the lowest by sub-factor, the open communication, the sense of community was moderate, and the mutual support and concentration were the highest. Second, factors that had a positive impact on the sense of social reality were group activities, selfintroduction activities, active participation in classes, mutual communication such as Q & A or response to peer learners' opinions during lectures by professors, questions, feedback, etc, and having a smaller number of students. Factors that had a negative impact on the perception of social presence were lack of private conversations, poor participation in classes, lack of communication with each other, and difficulty concentrating. The causes of these negative factors were technical problems and limitations arising from zoom, inconvenience and distracting surroundings, lack of time, and psychological awkwardness. Reflecting the results of the study, orientation to effective synchronous distance course, guidance on smooth communication methods, strengthening the role of professors to promote learning, strengthening group activities and learner-centered activities, and proposing a smaller scale of students were ways that are offered to improve the sense of social presence in synchronous distance courses.

Onion Beverages Improve Amyloid β Peptide-Induced Cognitive Defects via Up-Regulation of Cholinergic Activity and Neuroprotection (양파(Allium cepa L.) 음료의 콜린성 활성 증가 및 뇌신경세포 보호로 인한 Amyloid β Peptide 유도에 대한 인지장애 개선 효과)

  • Park, Seon Kyeong;Kim, Jong Min;Kang, Jin Yong;Ha, Jeong Su;Lee, Du Sang;Kim, Ah-Na;Choi, Sung-Gil;Lee, Uk;Heo, Ho Jin
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.45 no.11
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    • pp.1552-1563
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    • 2016
  • To examine the cognitive function of onion (Allium cepa L.) beverages (odourless and fortified), we analyzed in vitro neuronal cell protection against $H_2O_2$-induced cytotoxicity and performed in vivo tests on amyloid beta ($A{\beta}$)-induced cognitive dysfunction. Cellular oxidative stress and cell viability were evaluated by DCF-DA assay and MTT assay. These results show that fortified beverage resulted in better neuronal cell protection than odourless beverage at lower concentration ($0{\sim}100{\mu}g/mL$). Fortified beverage also showed more excellent acetylcholinesterase (AChE) inhibitory activity ($IC_{50}$: 4.20 mg/mL) than odourless beverage. The cognitive functions of odourless beverage and fortified beverage in $A{\beta}$-induced neurotoxicity were assessed by Y-maze, passive avoidance, and Morris water maze tests. The results show improved cognitive function in both groups treated with beverages. After in vivo tests, cholinergic activities were determined based on AChE inhibition and acetylcholine levels, and antioxidant activities were measured as SOD, oxidized glutathione (GSH)/total GSH ratio, and MDA levels in mouse brain tissue. In a Q-TOF UPLC/MS system, main compounds were analyzed as follows: odourless beverage (five types of sugars and three types of phenolics) and fortified beverages (six types of phenolics and two types of steroidal saponins).

Strategies for Revitalizing E-Learning Through Investigating the Characteristics of E-Learning and the Needs of Distance Learners in the Domestic Universities in Korea (국내 대학 e-러닝의 운영 특징 및 수강자 요구 조사를 통한 활성화 방안)

  • Min, Kyung-Bae;Shin, Myoung-Hee;Yu, Tae-Ho;Kwak, Sun-Hye
    • The Journal of the Korea Contents Association
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    • v.14 no.1
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    • pp.30-39
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    • 2014
  • The purpose of this study is to suggest the feasible strategies to vitalize e-learning through investigating the characteristics of e-learning and the evaluations of distance learners on online courses in the domestic universities in Korea. First, in order to accomplish this, 10 Universities and 17 Cyber Universities were selected to explore their characteristics and main projects of e-learning for the administration level investigation. Secondly, content analysis of the bulletin board systems(BBS) and in-depth interviews on distance learners in Cyber Universities were conducted for the user level investigation. The results revealed that Universities in Korea were focused on establishing mobile or smart campuses, diversifying online educational contents, enhancing online interactive systems, and educating e-learning system and smart device utilization. However, distance learners reported that mobile e-learning lacked stability when taking online courses despite its convenience for purpose of academic administration. In addition, distance learners requested the social application workshops to improve on their learning experience as well as the interactions among peers. Therefore, it is important to focus more on how to establish the education-oriented e-learning environment rather than how to implement the administrative projects to animate e-learning in the domestic universities in Korea.

The Application of Adaptive Network-based Fuzzy Inference System (ANFIS) for Modeling the Hourly Runoff in the Gapcheon Watershed (적응형 네트워크 기반 퍼지추론 시스템을 적용한 갑천유역의 홍수유출 모델링)

  • Kim, Ho Jun;Chung, Gunhui;Lee, Do-Hun;Lee, Eun Tae
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.31 no.5B
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    • pp.405-414
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    • 2011
  • The adaptive network-based fuzzy inference system (ANFIS) which had a success for time series prediction and system control was applied for modeling the hourly runoff in the Gapcheon watershed. The ANFIS used the antecedent rainfall and runoff as the input. The ANFIS was trained by varying the various simulation factors such as mean areal rainfall estimation, the number of input variables, the type of membership function and the number of membership function. The root mean square error (RMSE), mean peak runoff error (PE), and mean peak time error (TE) were used for validating the ANFIS simulation. The ANFIS predicted runoff was in good agreement with the measured runoff and the applicability of ANFIS for modelling the hourly runoff appeared to be good. The forecasting ability of ANFIS up to the maximum 8 lead hour was investigated by applying the different input structure to ANFIS model. The accuracy of ANFIS for predicting the hourly runoff was reduced as the forecasting lead hours increased. The long-term predictability of ANFIS for forecasting the hourly runoff at longer lead hours appeared to be limited. The ANFIS might be useful for modeling the hourly runoff and has an advantage over the physically based models because the model construction of ANFIS based on only input and output data is relatively simple.

Effects of Acorn (Quercus acutissima CARR.) Supplementation on the Level of Acetylcholine and Its Related Enzyme Activities in the Brain of Dementia Mouse Model (도토리 급여가 치매모델 마우스 뇌조직의 아세틸콜린 및 관련효소 활성에 미치는 영향)

  • Lee, Sung-Hyeon;Kim, Dae-Ik;Cho, So-Yong;Jung, Hyun-Jin;Cho, Soo-Muk;Park, Hong-Ju;Lillehoj Hyun S.
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.34 no.5
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    • pp.738-742
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    • 2005
  • This study was designed to investigate the anti-dementia effects of acorn (Quercus acutissima CARR.) in brain of the mouse. Dementia model was induced by administration of scopolamin (30 mg/kg BW) Male ICR mouse $(30{\pm}2g\;BW)$ were fed basal diet (control group), and experimental diets (AP-5 and AP-10 groups) added $5\%\;and\;10\%$ of dried acorn powder to basal diet for 8 months. Acetylcholine content significantly increase in AP-5 and AP-10 groups ($4.2\%\;and\;11.3\%$, respectively) compared with control group. Acetylcholinesterase activities were significantly inhibited ($13.5\%\;and\;17.6\%$, respectively) in brain of AP-5 and AP-10 groups. Monoamine oxidase-B (MAO-B) activities were significantly inhibited ($10.0\%\;and\;12.7\%$, respectively) in brain of AP-S and AP-10 groups. These results suggest that acorn (Q. acutissima CARR.) may play an effective role in an attenuating various age-related changes such as dementia including learning and memory impairments in brain.

Analysis on On-line Q&A Cases regarding Landscape Trees Management - Focused on Online Consultation Board at Tree Diagnostic Center - (조경수 관리에 관한 온라인 질의응답 사례 분석 - 수목진단센터 온라인 상담 사례를 대상으로 -)

  • Lim, Byoung-Eul;Lee, Sae-Hee
    • Journal of the Korean Institute of Landscape Architecture
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    • v.41 no.1
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    • pp.44-50
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    • 2013
  • The persons in charge of management request diagnosis and prescription to tree hospitals in order to get consultation about the problems like blight that occur in landscape tree management. This study aims to analyze what the main problems and questions raised by landscape gardeners are and those concerned in landscape tree management. This is done by investigating landscape tree-related questions and answers uploaded on the online consultation boards of the plant diagnostic centers approved in Korea including the Seoul National University Plant Clinic, the Chungbuk National University Plant Hospital, and the Kangwon Diagnostic Center. As a result, those concerned in landscape occupied the most as 81.4% among the questioners. However, only 11.5% did explain the plant management history or surrounding environment, which is essential for landscape tree diagnosis when asking questions. This shows that those concerned in landscape lack basic knowledge or interest about plant diagnosis. Among 263 questions about landscape trees, questions about physiological damage included 94 cases that were the most taking up 35.8%. Moreover, the next were damage by insects and damage by disease in order. It is thought that due to the characteristics of physiological problems that occur by various sorts of stress and with no signs, they tend to request diagnosis or prescription the most. The most frequent reasons for physiological damage are water stress and temperature stress. About damage by disease, there exist many types of diseases, and there are many complex damages accompanied by physiological causes. About damage by insects, the most common include damage by moths. In consideration of this result, universities or technician training centers should provide education for landscape tree management so that landscape technicians and students can acquire essential knowledge and information about landscape tree management and increase their interest in it. In particular, it is necessary to provide profound learning opportunities for plant physiology, and the technicians should make efforts themselves. In addition, it is needed to build organizations to which they can ask technical questions about landscape planting and management in order to understand landscape industry in general and the actual status of landscape planting technique and the actual field. Moreover, to elevate systemicity and expertise in the area of landscape tree management not yet equipped with the foundation, it is needed to cultivate the technicians intensively and conduct research by those concerned both in academic and industrial circles.