• 한국사회복지학
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• 제59권3호
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• pp.33-58
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• 2007

사형은 단순히 하나의 경과적 형벌로 끝나는 것이 아니라 한 사람의 존재를 영원히 지워버리는 것으로서 실존주의적 휴머니즘에 반할뿐 아니라 사회통합이라는 사회복지 목표에 정면으로 배치되는 제도이다. 이에 본 연구는 교정복지의 가치와 철학을 중심논거로 사형에 대한 다각도의 비판적 고찰을 함으로써 그 문제성을 지적하고 나아가 사형제도 폐지의 당위성을 이끌어 내고자 하였다. 요컨대, 사형은 생명권이라는 불가침적인 기본권과 시공을 초월한 인간의 생존본성을 부정할 때만 가능한 것이다. '인간행동의 근거'를 문화와 사회라는 사회체계 속에서 찾으려는 거시적 관점을 부인할 수 없는 한, 사형제도는 사회연대와 인간존엄성과 같은 가치를 바탕으로 사회구성원들이 자기실현을 할 수 있도록 사회 전체가 책임을 진다는 복지철학에 반하며, 범죄인에 대한 교정과 재활 등 적극적으로 특별예방을 지향하는 교정복지의 목표와도 상치되는 것으로서 마땅히 폐지되어야 한다.

• 한국비블리아학회지
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• 제27권1호
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• pp.313-336
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• 2016

이 연구의 목적은 사회 취약계층의 일상적 정보행태를 연구하기 위한 이론적 틀(메타이론, metatheory)을 비교 분석하는데 있다. 이를 위해 이 연구에서는 정보행태 연구의 대표적인 메타이론인 인지적 접근, 정서적 접근, 사회적 접근을 구분하여 살펴보고, 각 관점과 관련된 대표적인 이론 및 모델의 특성을 분석하였다. 이러한 분석을 통해 이 연구에서는 인지적 관점과 정서적 관점이 정보행태의 복잡하고 역동적인 사회적 맥락과 특성을 있는 그대로 드러내는데 한계가 있음을 지적하고, 이를 극복할 대안으로써 사회적 관점에 주목하였다. 더불어, 사회적 관점에서 연구된 일상적 정보행태의 주요 이론/모델과 사회 취약계층의 정보행태에 관한 선행연구를 분석함으로써, 사회 취약계층의 정보행태와 특성을 연구하기에 적합한 메타이론으로 왜 사회적 관점에 주목해야 하는지를 논리적으로 제시하였다.

• 한국의류산업학회지
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• 제18권1호
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• pp.48-62
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• 2016

Consumers have come to demand high quality, affordable prices, and innovative product designs of the outdoor wear market due to their well-being and leisure oriented lifestyle. A new system of business in outdoor wear has emerged in the process through which corporations have endeavored to satisfy such consumer needs. Outdoor wear brands have utilized social network services (SNS) such as Facebook and Twitter as means of marketing and have built close relations with consumers based on communication through these media. Recently, explosively escalating SNS data are referred to as social big data, and now that every consumer online is a commentator, reviewer, and publisher, the outdoor wear market and all of its brands have to stop talking and start listening to how they are perceived. Therefore, this study employs Social $Metrics^{TM}$, a social big data analysis solution by Daumsoft, Inc., to verify changes in the allusions related to outdoor wear market found on SNS. This study aims to identify changes in consumer perceptions of outdoor wear based on changes in outdoor wear search words and trends in positive and negative public opinion found in SNS social big data. In addition, products of interest, the major brands mentioned, the attributes taken into consideration during purchases of products, and consumers' psychology were categorized and analyzed by means of keywords related to outdoor wear brands found on SNS. The results of this study will provide fundamental resources for outdoor wear brands' market entry and brand strategy implementation in the future.

• 한국학교ㆍ지역보건교육학회지
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• 제6권
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• pp.117-126
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• 2005

This study attempted to extract a suggestive point to help the design of a program, which is used to promote physical activities, by applying a social cognitive theory based on literature review on the physical activity based on a social cognitive theory. This study considers 10 journal articles that used a social cognitive theory, physical activity, and exercise as the major variable using the EBSCOhost Academic Search Premier and Educator's Reference Desk (ERIC). The type of papers was analyzed using a certain criterion, which can be configured according to the number of each year's papers, characteristics of research subjects, application type of a social cognitive theory, and classification of the application of objects in a social cognitive theory. The characteristics of each year's papers presented no specific characteristics for each year's papers, but the study in 2004 especially presented a high level. The characteristics of research subjects presented four highest cases in the case of the college student, and there were zero cases for children. The application type of studies on physical activities using a social cognitive theory can be largely classified as three types. The results of the measurement using a sectional investigation for SCT objects were 2 cases, the application of SCT for promoting physical activities was 1 case, and the demonstration of evaluation for the effect of SCT objects presented 8 highest cases. Although the social cognitive theory in the characteristics of the classification of object applications can be classified as 10 objects, there were no cases that used 10 all objects, partial applications of the object were measured in 8 studies, and two cases presented no detailed considerations on the object. Most of studies used a part of the object where the application of self-efficacy were measured by 8 highest cases. In addition, there were no measurements on the situation, observation learning, answer and response, and self-management. The elements of attitude, cognitive activity, self-efficacy, and handicaps among the SCT object were commonly used, and studies that the self-efficacy largely affects on the promotion of physical activities presented the main current.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2011년도 춘계학술발표대회
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• pp.544-546
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• 2011

Due to the explosive growth of online social network users, large numbers of users discover these social network sites are a place where they can be able to spend their spare time, share feelings, ideas freely, and to search for new friends or partners. These web sites give an opportunity for its users to socialize with new people and to keep in touch or reconnect with current or old friends and families across disperse continents via these web sites, which traditionally replace the traditional methods. These social network web sites need careful investigations and findings on the usability for effective interactivity and more usability. However, little research might have previously invested on the usability of these on social network web sites. Therefore, we propose a new framework to study the usability of these social network sites. We namely call our framework "Interactivity". This framework will enable us to assess the usability of the social network sites. It will provide an overview of the user's behavior while interacting in these social network web sites. Measurement of the interactivity will be measured using Camtasia software. This software will entirely capture the interactivity of users including the screen and the movements, which the screen and the motion of the user action will undergo to analysis at the end of our research.

• 한국멀티미디어학회논문지
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• 제15권2호
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• pp.281-289
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• 2012

본 연구의 목적은 사용자 생산 정보와 소셜 태깅을 이용하여 보다 편리한 버스 정보 안내 시스템을 개발하는 것이다. 본 연구에서는 이를 위해 위치 인식과 태깅 기술을 이용한 모바일 버스 안내 시스템을 스마트폰을 기반으로 하여 개발하였다. 이 시스템은 사용자들에게 현재 위치를 기반으로 하여 주변 정류장 및 버스 정보를 안내한다. 또한 사용자가 해당 정류장에 관련 정보를 태그로 등록할 수 있으며, 등록된 정보를 활용한 간단한 키워드 검색으로 해당 목적지에 대한 버스 및 노선 정보를 검색할 수 있다.

• 대한한의학원전학회지
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• 제26권4호
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• pp.23-42
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• 2013

Objective : This study was conducted to sort the five viscera symptoms which can be applied to Five Viscera Source Point Acupuncture, based on Suwen(素問). Method : 1. We selected and analyzed the sentences from Suwen, which included the five viscera symptoms. And then we sorted the five viscera symptoms which can be applied to Five Viscera Source Point Acupuncture. 2. These words - 'Liver', 'Heart', 'Spleen', 'Lung', 'Kidney', 'Reverting yin(厥陰)', 'Lesser yin(少陰)', 'Greater yin(太陰)', 'First Yin', 'Second Yin', 'Third Yin', 'Pericardium' and 'Extreme yin' - were used as search terms. Result & Conclusion : Forty-three symptoms of liver which can be applied to Five Viscera Source Point Acupuncture were extracted, twenty-one symptoms of heart, twenty-five symptoms of spleen, twenty-eight symptoms of lung, and forty symptoms of kidney.

• 한국주거학회논문집
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• 제21권1호
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• pp.171-180
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• 2010

Amongst society's transitional presuppositions towards the future, population aging is the most critical issue in Korea. Immediate attention to devise a countermove is required. One of the major trends appeared in retirement communities of advanced countries is social integration which has been considered as a promising future direction of elderly housing development. This study aims to find out social integration characteristics and to categorize local engagement types of recent retirement communities through the characteristics of sharing common facilities and programs. Data were collected through mainly web site and literature reviews. Contentent analysis technique was used. Ten CCRC cases were selected through web search using the major key words such as 'intergenerational'. As a result, community engagement types were classified into six categories by the degree of sharing both physical and program resources between the retirement community and local area. This type can be utilized to develop alternative housing and retirement community for the older adults as a new model which activates the resident and vitalizes the retirement community through local engagement by physical and social resources.

• International journal of advanced smart convergence
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• 제10권3호
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• pp.131-142
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• 2021

Recently, there has been an active service that provides customized news to news subscribers. In this study, we intend to design a customized news service system through Deep Learning-based Social Network Service (SNS) activity analysis, applying real news and avoiding fake news. In other words, the core of this study is the study of delivery methods and delivery devices to provide customized news services based on analysis of users, SNS activities. First of all, this research method consists of a total of five steps. In the first stage, social network service site access records are received from user terminals, and in the second stage, SNS sites are searched based on SNS site access records received to obtain user profile information and user SNS activity information. In step 3, the user's propensity is analyzed based on user profile information and SNS activity information, and in step 4, user-tailored news is selected through news search based on user propensity analysis results. Finally, in step 5, custom news is sent to the user terminal. This study will be of great help to news service providers to increase the number of news subscribers.

• International Journal of Computer Science & Network Security
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• 제23권6호
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• pp.202-206
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• 2023

Today, social media has become a vital tool. The world communicates and reaches the news and each other's opinions through social media accounts. Recently, considerable research has been done on analyzing social media due to its rich data content. At the same time, since the beginning of the COVID-19 pandemic, which has afflicted so many around the world, the search for a vaccine has been intense. There have been many studies analyzing people's feelings during a crisis. This study aims to understand people's opinions about available Coronavirus vaccines through a learning model that was developed for this purpose. The dataset was collected using Twitter's streaming Application Programming Interface (API) , then combined with another dataset that had already been collected. The final dataset was cleaned, then analyzed using Python. Polarity and subjectivity functions were used to obtain the results. The results showed that most people had positive opinions toward vaccines in general and toward the Pfizer one. Our study should help governments and decision-makers dispel people's fears and discover new symptoms linked to those listed by the World Health Organization.