• 디자인학연구
• /
• 제12권1호
• /
• pp.97-106
• /
• 1999

생산 기술의 발전과 함께, 날로 다양해지고 복잡해져 가는 소비자의 니즈를 제품 개발 과정에서 반영해야 할 필요성이 점차 높아져 가고 있다. 그러나, 마케팅적 관점에 그 기초를 두고 구조화되고 있는 현재의 소비자 니즈 체계는 제품 개발 단계에서 응용하기에는 너무 추상적이고 범주적인 성격을 가진다. 따라서, 본 연구에서는 인지과학/인지심리학 이론을 중심으로 하여, 제품 컨셉 수립 단계에서 실제적으로 응용할 수 있도록 소비자 니즈를 구조화하는 방법론을 수립하고, 니즈 구조화에 대한 가이드라인을 제시하는 것을 목적으로 한다. 본 연구를 통해 규명된 발견 점은 다음과 같다. 첫째, 기존의 분류 기준과 같이 소비자 니즈의 범주뿐 아니라 실제적인 니즈의 속성까지를 구조화하기 위해서는, 소비자에 대한 제품의 실제적 의미에 해당하는 감성 개념을 구조 내에 포함시켜야 한다. 또한, 이와 같은 개념 하에 수립된 니즈 구조를 감성 니즈 구조라고 정의할 수 있다. 둘째, 개념의 범주화는 상징적 개념을 중심으로 한 본질적 개념과 외연적 개념의 결합을 통하여 이루어질 수 있다. 이러한 가설을 바탕으로 하면, 감성 니즈 구조는 가치 컨셉(본질적 개념), 소비자 니즈(외연적 개념)가 감성(상징적 개념)과 결합함으로써 이루어질 수 있다.

• 기술혁신학회지
• /
• 제9권1호
• /
• pp.103-130
• /
• 2006

본 논문은 첨단 재료기술의 혁신유형을 분류하는 것이다. 기존의 혁신유형 분류에 관한 연구는 전 기술 혹은 전 산업에 포괄 적용하는 개념에서 접근하고 있어 산업기술별 혁신의 고유한 특수성이 기술혁신유형에 제대로 반영되지 못하고 있다. 이에, 본 논문에서는 첨단재료기술에 한정하여 기술혁신에 대한 이해를 증진하고 연구개발 및 정책수립의 기본 틀로 활용하는데 목적을 둔 4가지의 기술혁신 유형(공급재료혁신, 수요재료혁신, 공급공정혁신 및 수요공정혁신)을 제안하였다. 혁신유형의 도출과정은 첨단재료기술혁신의 특성, 원천, 과정 분석과 함께 사용자 산업과의 상호작용 분석에 근거하고 있다. 4가지 혁신 유형별로 특징과 사례분석을 통하여 연구개발 혹은 정책수립 등의 도구로서 활용가능성과 관련 시사점을 살펴보았다.

• Journal of Information Science Theory and Practice
• /
• 제5권2호
• /
• pp.17-32
• /
• 2017

We compared nanotechnology web portal requirements using a Kano method, to identify similarities and dissimilarities in Kano-categorizations of features and functions required of nanotechnology among users in universities, government research institutes, and industry. Based upon data obtained from 130 user members of the National Nanotechnology Policy Centre, this study analyzed assessed asymmetries in web users' feelings based on hypothesized provision and non-provision of web portal requirements. In doing this, this study utilized measures and procedures suggested in the literature such as the most frequent-response categorization, customer satisfaction (dissatisfaction) coefficient, category strength and total strength, and Fong test. This study found that overall, sectors were an important factor in explaining the relationships between web portal requirements and user satisfaction/expectations. When these requirements were classified, users' perceptions of information contents requirements were consistent across the sectors, but the other functional requirements including communication and collaborations considerably varied.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제13권3호
• /
• pp.1363-1384
• /
• 2019

Cultural and personal issues resulting from dispersed teams are considered to be serious barriers to form trust and organize effective agile teams. However, apart from separate, reported evidence of such issues from work experience, there has been no theoretical classification in literature. This paper provides a list and analysis of common challenges mainly resulting from cultural differences and barriers in Agile Software Development (ASD) offshore teams. The data source comprise articles published in IEEE, mostly of conferences related to ASD. Among the articles, papers with concrete evidence of Agile Methods (AM) implementation were selected. The results show that despite the relative significance of such issues, ASD adopters typically still rely on their own experience, and creativity rather than using well-defined methods. Moreover, this study reveals that the notion of trust, as discussed in the literature, mainly refers to maintaining the pace of communication, which is the focal point in ASD.

• 한국작물학회지
• /
• 제54권3호
• /
• pp.332-338
• /
• 2009

Rapid extension of genomic database leads to the remarkable advance of functional genomics. This study proposes a novel methodology of functional analysis using 5-methyltrytophan (5 MT) mutant together with their 2-DE analysis and public microarray database. A total of 24 proteins was changed in 5 MT mutant and four remarkably different expressed proteins were identified. Among them, three spots were converted to Affymetrix probe. A total of 155 microarray samples from Gene Expression Omnibus (GEO) in NCBI was retrieved and followed by constructing gene co-expression networks over a broad range of biological issues through Self-Organising Tree Algorithm. Three co-expressing gene clusters were retrieved and each functional categorization with differential expression pattern was exhibited from 5 MT resistance mutant rice. It was indicated new co-expression networks in the mutant. This study suggests that on investigating possibility which correspond 2-DE to microarray database with their full potential.

• Nuclear Engineering and Technology
• /
• 제54권4호
• /
• pp.1336-1342
• /
• 2022

Risk-informed safety classification of structures, systems and components (SSCs) is very important for ensuring the safety and economic efficiency of nuclear power plants (NPPs). However, previous methods for safety classification of SSCs do not take the plant operating modes or the operational process of SSCs into consideration, thus cannot concentrate on the safety and economic efficiency accurately. In this contribution, a new method for safety classification of SSCs based on the categorization of plant operating modes is proposed, which considers the NPPs operating history to improve the economic efficiencies while maintaining the safety. According to the time duration of plant configurations in plant operating modes, average importances of SSCs are accessed for an NPP considering the operational process, and then safety classification of SSCs is performed for plant operating modes. The correctness and effectiveness of the proposed method is demonstrated by application in an NPP's safety classification of SSCs.

• 한국수자원학회:학술대회논문집
• /
• 한국수자원학회 2023년도 학술발표회
• /
• pp.175-175
• /
• 2023

Detection and monitoring of wildfires are essential for limiting their harmful effects on ecosystems, human lives, and property. In this research, we propose a novel method running in the Google Earth Engine platform for identifying and characterizing burnt regions using a hybrid of Sentinel-1 (C-band synthetic aperture radar) and Sentinel-2 (multispectral photography) images. The 2022 Uljin wildfire, the severest event in South Korean history, is the primary area of our investigation. Given its documented success in remote sensing and land cover categorization applications, we select the Random Forest (RF) method as our primary classifier. Next, we evaluate the performance of our model using multiple accuracy measures, including overall accuracy (OA), Kappa coefficient, and area under the curve (AUC). The proposed method shows the accuracy and resilience of wildfire identification compared to traditional methods that depend on survey data. These results have significant implications for the development of efficient and dependable wildfire monitoring systems and add to our knowledge of how machine learning and remote sensing-based approaches may be combined to improve environmental monitoring and management applications.

• Asia pacific journal of information systems
• /
• 제13권4호
• /
• pp.1-27
• /
• 2003

With a swift development of information technology, web sites get more important roles as user's living places. This quantitative and qualitative expansion of web sites requires the need for an evaluation framework of web sites from comprehensive perspectives. This study proposes two dimensions for web site categorization and three dimensions for web site evaluation. These dimensions were developed based on the architectural perspectives that have been used to evaluate buildings in the real world for more than a thousand years. First, in order to categorize various web sites, we extracted two dimensions, user's goals and user's behaviors from behavioral architect which approaches user's behaviors in designing buildings. Second, in order to evaluate four web sites groups, we suggested three dimensions, which are firmness, commodity, delight used in evaluating buildings in the real world. Then for each of the four different web sites groups an empirical survey was conducted to verify these three dimensions of architectural metrics. This ends with study implications and limitations.

• Mycobiology
• /
• 제42권3호
• /
• pp.215-220
• /
• 2014

Mushrooms are a recognized component of the human diet, with versatile medicinal properties. Some mushrooms are popular worldwide for their nutritional and therapeutic properties. However, some species are dangerous because they cause toxicity. There are many reports explaining the medicinal and/or toxic effects of these fungal species. Cases of serious human poisoning generally caused by the improper identification of toxic mushroom species are reported every year. Different substances responsible for the fatal signs and symptoms of mushroom toxicity have been identified from various poisonous mushrooms. Toxicity studies of mushroom species have demonstrated that mushroom poisoning can cause adverse effects such as liver failure, bradycardia, chest pain, seizures, gastroenteritis, intestinal fibrosis, renal failure, erythromelalgia, and rhabdomyolysis. Correct categorization and better understanding are essential for the safe and healthy consumption of mushrooms as functional foods as well as for their medicinal use.

• 한국멀티미디어학회논문지
• /
• 제13권6호
• /
• pp.841-848
• /
• 2010

Conventional filters using email header and body information equally judge whether an incoming email is spam or not. However this is unrealistic in everyday life because each person has different criteria to judge what is spam or not. To resolve this problem, we consider user preference information as well as email category information derived from the email content. In this paper, we have developed a personalized anti-spam system using ontologies constructed from rules derived in a data mining process. The reason why traditional content-based filters are not applicable to the proposed experimental situation is described. In also, several experiments constructing classifiers to decide email category and comparing classification rule learners are performed. Especially, an ID3 decision tree algorithm improved the overall accuracy around 17% compared to a conventional SVM text miner on the decision of email category. Some discussions about the axioms generated from the experimental dataset are given too.