• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.43 no.1
• /
• pp.109-117
• /
• 2023

Schedule delays present a major risk factor, as they can adversely affect construction projects, such as through increasing construction costs, claims from a client, and/or a decrease in construction quality due to trims to stages to catch up on lost time. Risk management has been conducted according to the importance and priority of schedule delay risk, but quantification of risk on the depth of schedule delay tends to be inadequate due to limitations in data collection. Therefore, this research used the BERT (Bidirectional Encoder Representations from Transformers) language model to convert the contents of aconstruction log, which comprised unstructured data, into WBS (Work Breakdown Structure)-based structured data, and to form a model of classification and quantification of risk. A process was applied to eight highway construction sites, and 75 cases of rain schedule delay risk were obtained from 8 out of 39 detailed work kinds. Through a K-S test, a significant probability distribution was derived for fourkinds of work, and the risk impact was compared. The process presented in this study can be used to derive various schedule delay risks in construction projects and to quantify their depth.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.28 no.3D
• /
• pp.363-369
• /
• 2008

Change is inevitable and is a reality of construction projects. Change adjustment includes the cost associated with materials, labor, etc. However, the actions of a contractor can cause a loss of productivity and furthermore can result in disruption of the whole project because of a cumulative or ripple effect. Because of its complicated nature, it becomes a complex issue to determine the cumulative impact (ripple effect) caused by single or multiple change orders. Furthermore, owners and contractors do not always agree on the adjusted contract price for the cumulative impact of the changes. What is needed is a reliable method to identify and quantify the loss of productivity caused by cumulative impact of change orders. This study survey the change orders data in domestic area for public construction and analyze to quantify change order impact. This study developed concepts of "%CO", "%Delta", "%T" to capture change order effect on project and search the relationships between them. Finally, this study find strong relationship between change order and loss.

• Journal of Service Research and Studies
• /
• v.13 no.4
• /
• pp.191-205
• /
• 2023

Artificial Intelligence (AI), especially in the domain of text-generative services, has witnessed a significant surge, with forecasts indicating the AI-as-a-Service (AIaaS) market reaching a valuation of $55.0 Billion by 2028. This research set out to explore the quality dimensions characterizing synthetic text media software, with a focus on four key players in the industry: ChatGPT, Writesonic, Jasper, and Anyword. Drawing from a comprehensive dataset of over 4,000 reviews sourced from a software evaluation platform, the study employed the Latent Dirichlet Allocation (LDA) topic modeling technique using the Gensim library. This process resulted the data into 11 distinct topics. Subsequent analysis involved comparing these topics against established AI service quality dimensions, specifically AICSQ and AISAQUAL. Notably, the reviews predominantly emphasized dimensions like availability and efficiency, while others, such as anthropomorphism, which have been underscored in prior literature, were absent. This observation is attributed to the inherent nature of the reviews of AI services examined, which lean more towards semantic understanding rather than direct user interaction. The study acknowledges inherent limitations, mainly potential biases stemming from the singular review source and the specific nature of the reviewer demographic. Possible future research includes gauging the real-world implications of these quality dimensions on user satisfaction and to discuss deeper into how individual dimensions might impact overall ratings.

• Smart Media Journal
• /
• v.12 no.11
• /
• pp.27-35
• /
• 2023

Fourth Industrial Revolution and COVID-19 pandemic have boosted the use of Government 24 app for public service complaints in the era of non-face-to-face interactions. there has been a growing influx of complaints and improvement demands from users of public apps. Furthermore, systematic management of public apps is deemed necessary. The aim of this study is to analyze the grievances of Government 24 app users, understand the current dissatisfaction among citizens, and propose potential improvements. Data were collected from the Google Play Store from May 2, 2013, to June 30, 2023, comprising a total of 6,344 records. Among these, 1,199 records with a rating of 1 and at least one 'thumbs-up' were used for topic modeling analysis. The analysis revealed seven topics: 'Issues with certificate issuance,' 'Website functionality and UI problems,' 'User ID-related issues,' 'Update problems,' 'Government employee app management issues,' 'Budget wastage concerns ((It's not worth even a single star) or (It's a waste of taxpayers' money)),' and 'Password-related problems.' Furthermore, the overall trend of these topics showed an increase until 2021, a slight decrease in 2022, but a resurgence in 2023, underscoring the urgency of updates and management. We hope that the results of this study will contribute to the development and management of public apps that satisfy citizens in the future.

• Cartoon and Animation Studies
• /
• s.37
• /
• pp.509-537
• /
• 2014

This paper proposes 'postfilimc metamorphosis' and 'reanimation' as two concepts that aim at giving account to the aesthtetic tendencies and genealogies of what Suzanne Buchan calls 'pervasive animation', a category that refers to the unprecedented expansion of animation's formal, technological and experiential boundaries. Buchan's term calls for an interdisciplinary approach to animation by highlighting a range of phenomena that signal the growing embracement of the images and media that transcend the traditional definition of animation, including the lens-based live-action image as the longstanding counterpart of the animation image, and the increasing uses of computer-generated imagery, and the ubiquity of various animated images dispersed across other media and platforms outside the movie theatre. While Buchan's view suggests the impacts of digital technology as a determining factor for opening this interdisciplinary, hybrid fields of 'pervasive animation', I elaborate upon the two concepts in order to argue that the various forms of metamorphorsis and motion found in these fields have their historical roots. That is, 'postfilmic metamorphosis' means that the transformative image in postfimic media such as video and the computer differs from that in traditional celluloid-based animation materially and technically, which demands a refashioned investigation into the history of the 'image-processing' video art which was categorized as experimental animation but largely marginalized. Likewise, 'reanimation' cne be defined as animating the still images (the photographic and the painterly images) or suspending the originally inscribed movement in the moving image and endowing it with a neewly created movement, and both technical procedues, developed in experimental filmmaking and now enabled by a variety of moving image installations in contemporary art, aim at reconsidering the borders between stillness and movement, and between film and photography. By discussing a group of contemporary moving image artworks (including those by Takeshi Murata, David Claerbout, and Ken Jacobs) that present the aesthetic features of 'postfilmic metamorphosis' and 'reanimation' in relation to their precursors, this paper argues that the aesthetic implications of the works that pertain to 'pervasive animation' lie in their challenging the tradition dichotomies of the graphic/the live-action images and stillness/movement. The two concepts, then, respond to a revisionist approach to reconfigure the history and ontology of other media images outside the traditional boundaries of animation as a way of offering a refasioned understanding of 'pervasive animation'.

• Korean Journal of Construction Engineering and Management
• /
• v.18 no.6
• /
• pp.65-77
• /
• 2017

Recently, many Korean major construction companies are suffering from profit loss mainly due to a direct impact from delays in their overseas projects. In general, changes are inevitable in a large-scale project, and most of changes are directly linked to construction delay. Therefore, in the event that an extension of time is necessary due to a change, the contractor must manage the delay based on the condition of the contract to effectively manage risks from delay to the completion date. Thus it is important to understand delay protocol defined in the condition of the contract early in the project, but there have been few or no study to propose methodology or tool to support this effort. This paper presents a review on the project planning and controling practices of major Korean construction companies along with the issues on delay claims and disputes in mega-international projects and suggests a tool to assess delay risk in the condition of the contract. To propose a delay risk assessment model for international construction projects, major standard conditions of contract have been reviewed including FIDIC Red Book(1999), PSSCOC(2014) and SIA 9th Edition(2010). To reflect recent trend of major international owners, standard conditions which they are utilizing for their projects also have been reviewed including those of ARAMCO and QP. The model provides a categories of risks to be reviewed on the condition of the contract along with standard level of the risk which is common in the international standard form of the contracts. This study also performed a case study on an actual international project to confirm the effectiveness of proposed model to identify and respond to a delay risk of a project.

• Journal of The Korean Association For Science Education
• /
• v.19 no.3
• /
• pp.428-440
• /
• 1999

The colorful overhead projector films, named as Bio-cosmos II, including photographs, pictures, concept maps, and diagrams, were developed and manufactured as audio-visual teaching aids and teaching resources for students' biology learning in high school, and the CD-ROM and web sites for their application to the school were also constructed. The content of the films was organized based upon the analysis of seven different biology textbooks approved by the Ministry of Education. The films were designated based on various instructional strategies and manufactured using multimedia with various educational softwares. The CD-ROM was composed of the scenes as logo, initial main, chapters list, contents, and quit. Initial main scene indicated various chapters according to the texts of biology areas in General Science, Biology I, and II. Each chapters linked with the scenes for detailed concept maps, the downstream real subjects, and contents. The subject screens were composed of various types of summarized diagrams including lesson contents, figures, pictures, photographs, and their explanation, experimental procedures and results, tables for summarized contents, and additional animation with video captures, explanations, glossary, etc. Most files were manufactured in software Adobe Photoshop by scanning the pictures, figures and photographs, and then the explanation, modification, storing with PICT or PSD files, and transformation with JPG files, were processed in the aspect of high quality in terms of instructional strategies and graphic skills on gracefulness, clearness, colorfulness, brightness, and distinctness. A 14 films for biology areas in General Science, 80 for Biology I, and 142 for Biology II were manufactured and loaded to the CD-ROM and web site, and the files had been attempted to opened with an internet home-page of http://gic.kyungpook.ac.kr/biocosmos.

• Journal of Korea Fair Competition Federation
• /
• no.150
• /
• pp.14-29
• /
• 2010

비록 부정경쟁방지법의 제정 목적이 부정경쟁행위 등의 방지를 통하여 건전한 거래질서를 유지한다는 의미의 경쟁체제 확립에 있기는 하지만, 우리나라의 경우는 법 제정 당시와는 달리 사실상 산업스파이에 대한 영업비밀의 보호나 주지의 상표 영업표지의 보호와 같은 지적재산권의 보호 법률로서의 역할로 점차 변화하고 있고, 특히 부정경쟁방지법이 주지의 상표에 대한 출처의 혼동에 대한 규제뿐만이 아니라 별도로 저명상표의 희석화(稀釋化) 방지라는 법익, 이에 더 나아가 도메인 네임(Domain Name)의 선점과 원산지 및 품질의 오인(誤認) 야기행위, 주지 저명한 타인의 디자인(Design), 캐릭터(Character)와 같은 상품의 표지에 이르기까지 지적재산권과 관련된 보다 넓은 법익의 보호까지 수행하게 되면서 그 기능은 날로 강화되고 있는 상태이다. 이에 반하여 부정경쟁방지법상의 부정경쟁행위 자체에 대한 규제는 사실상 주지 저명한 타인의 상표나 상품표지의 식별력이나 출처표시기능 등의 보호라는 의미의 분쟁수준을 넘지 못하고 있어, '경쟁법'으로서의 역할은 상대적으로 미약해지고 있는 것 또한 현실이다. 또한, 공정거래법 제23조 제1항 제8호를 비롯하여 현행 공정거래법상의 불공정거래행위에 대한 규정체제를 살펴보면, 해석 여하에 따라서는 부정경쟁방지법상의 부정경쟁행위가 대부분 공정거래법상의 불공정거래행위의 범위 내로 포섭될 수도 있는 상황이기도 하다. 이에 양 법률의 성격과 역할, 앞으로 나아가야 할 방향을 고민하지 않을 수 없고, 이와 같은 논의는 발전적 입법론으로서의 가치를 갖는다. 물론 불공정거래행위(부정경쟁행위)에 대한 규제에 있어서 반드시 독일법체계에 따를 것인지 아니면 미국의 경우를 따를 것인지에 대한 선택 자체가 논리적으로 양립 불가능한 것은 아닐 것이지만 우리나라의 경우는 1980년 "독점규제 및 공정거래에 관한 법률"이 제정되는 과정에서 당시 부정경쟁방지법에 담겨 있던 기존의 부정경쟁행위에 대한 규정과 공정거래법상의 불공정거래행위와의 경합이나 중복문제는 마땅히 검토되었어야 했음에도 불구하고 공정 거래법의 제정과정에서 사실상 부정경쟁방지법의 존재 자체가 간과되어 오늘에 이르고 있다. 그동안 양 법률상의 규정 중복이나 충돌을 정식으로 문제 삼았던 바는 없었지만 '발전적 입법론' 이라는 차원에서 살펴 보면 부정경쟁방지법상의 부정경쟁행위에 대한 규제는 앞으로 공정거래법체계 내의 불공정거래행위로 포섭할 필요가 있고 이를 통하여 경쟁정책의 전문 전담기구로서 불공정거래행위에 대한 규제의 중심에 서 있는 공정거래위원회를 중심으로 효율적이고 통일적인 경쟁정책을 확립을 기대하여 볼 수 있을 것이다. 이 과정에서 공정거래법의 변화 또한 뒤따라야 하는데, 부정경쟁방지법상의 부정경쟁행위의 편입에 따라 불공정거래행위에 대한 규정 일부를 알맞게 다시 수정하는 것에 그치지 않고, 기존 부정경쟁방지법이 인정하고 있었던 사인간(私人間) 금지 또는 예방청구권 또한 공정거래법으로 그대로 편입되는 방향으로의 입법 개선이 이루어질 필요가 있으며, 그동안 '부정경쟁방지법의 공정거래법으로의 편입문제'와는 전혀 무관하게 공정거래법의 사적 구제 및 사소(私訴)의 활성화 차원의 논의로서 공정거래법상 사인간 금지청구권의 도입 여부가 검토되어 왔지만, 앞으로 이 문제는 부정경쟁방지법상 부정경쟁행위의 공정거래법체계 내로의 편입문제와 함께 이를 포함한 더욱 큰 논의로서 다시 적극적으로 검토될 필요가 있다고 본다. 이를 통하여 앞으로 부정경쟁방지법은 특허청을 중심으로 산업스파이에 대한 규제나 영업비밀의 보호와 기타 지적재산권의 보호에 온 힘을 다하고, 공정거래법은 공정거래위원회를 중심으로 불공정거래행위 (부정경쟁행위에 대한 보다 포괄적이고 통일적인 규제를 담당하여 '선택과 집중' 이라는 차원의 각 법률체계의 한 차원 높은 발전 또한 기대해 볼 수 있을 것으로 확신한다. 이러한 합의점을 시작으로 미시적인 다음 단계의 논의에 해당하는 사인간 금지청구권의 허용범위나 허용요건, 남용을 방지하기 위한 제도적 장치, 단체소송 등의 허용 여부 등의 논의도 함께 하여야 할 것이고, 이 과정에서 미국의 클레이튼법(Clayton Act)이나 가까운 일본의 입법례를 참고하여 우리의 실정에 맞는 규제의 틀을 마련함이 타당할 것이고, 이를 통하여 궁극적으로 그동안 공정거래법의 사적 집행의 활성화를 통한 경쟁질서의 확립의 강화라는 이상에 더욱 가까워질 수 있는 좋은 입법적 변화의 모습을 볼 수 있을 것이라 생각한다.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.43 no.2
• /
• pp.239-247
• /
• 2023

The FIDIC Red Book is an international standard contract condition in which the Employer designs and the Contractor performs the construction. The Engineer of FIDIC Red Book shall agree or determine any matter or Claim in accordance with Sub-Clause 3.7 neutrally, not as an agent of the Employer. This study aimed to derive Key Risk Sub-Clauses out of 49 Sub-Clauses that the Engineer of FIDIC Red Book recently revised in 18 years shall agree or determine according to Sub-Clause 3.7 using the Delphi method. A panel of 35 experts with more than 10 years of experience and expertise in international construction contracts was formed, and through total three Delphi surveys, errors and biases were prevented in the judgment process to improve reliability. As for the research method, 49 Sub-Clauses that engineers shall agree on or determine according to Sub-Clause 3.7 of the FIDIC Red Book were investigated through the analysis of contract conditions. In order to evaluate the probability and impact of contractual risk for each 49 Sub-Clause, the Delphi survey conducted repeatedly a closed-type survey three times on a Likert 10-point scale. The results of the first Delphi survey were delivered during the second survey, and the results of the second survey were delivered to the third survey, which was re-evaluated in the direction of increasing the consensus of experts' opinions. The reliability of the Delphi 3rd survey results was verified with the COV value of the coefficient of variation. The PI Risk Matrix was applied to the average value of risk probability and impact of each of the 49 Sub-Clauses and finally, 9 Key Risk Sub-Clauses that fell within the extreme risk range were derived.

• Journal of Intelligence and Information Systems
• /
• v.26 no.1
• /
• pp.97-117
• /
• 2020

Product evaluation criteria is an indicator describing attributes or values of products, which enable users or manufacturers measure and understand the products. When companies analyze their products or compare them with competitors, appropriate criteria must be selected for objective evaluation. The criteria should show the features of products that consumers considered when they purchased, used and evaluated the products. However, current evaluation criteria do not reflect different consumers' opinion from product to product. Previous studies tried to used online reviews from e-commerce sites that reflect consumer opinions to extract the features and topics of products and use them as evaluation criteria. However, there is still a limit that they produce irrelevant criteria to products due to extracted or improper words are not refined. To overcome this limitation, this research suggests LDA-k-NN model which extracts possible criteria words from online reviews by using LDA and refines them with k-nearest neighbor. Proposed approach starts with preparation phase, which is constructed with 6 steps. At first, it collects review data from e-commerce websites. Most e-commerce websites classify their selling items by high-level, middle-level, and low-level categories. Review data for preparation phase are gathered from each middle-level category and collapsed later, which is to present single high-level category. Next, nouns, adjectives, adverbs, and verbs are extracted from reviews by getting part of speech information using morpheme analysis module. After preprocessing, words per each topic from review are shown with LDA and only nouns in topic words are chosen as potential words for criteria. Then, words are tagged based on possibility of criteria for each middle-level category. Next, every tagged word is vectorized by pre-trained word embedding model. Finally, k-nearest neighbor case-based approach is used to classify each word with tags. After setting up preparation phase, criteria extraction phase is conducted with low-level categories. This phase starts with crawling reviews in the corresponding low-level category. Same preprocessing as preparation phase is conducted using morpheme analysis module and LDA. Possible criteria words are extracted by getting nouns from the data and vectorized by pre-trained word embedding model. Finally, evaluation criteria are extracted by refining possible criteria words using k-nearest neighbor approach and reference proportion of each word in the words set. To evaluate the performance of the proposed model, an experiment was conducted with review on '11st', one of the biggest e-commerce companies in Korea. Review data were from 'Electronics/Digital' section, one of high-level categories in 11st. For performance evaluation of suggested model, three other models were used for comparing with the suggested model; actual criteria of 11st, a model that extracts nouns by morpheme analysis module and refines them according to word frequency, and a model that extracts nouns from LDA topics and refines them by word frequency. The performance evaluation was set to predict evaluation criteria of 10 low-level categories with the suggested model and 3 models above. Criteria words extracted from each model were combined into a single words set and it was used for survey questionnaires. In the survey, respondents chose every item they consider as appropriate criteria for each category. Each model got its score when chosen words were extracted from that model. The suggested model had higher scores than other models in 8 out of 10 low-level categories. By conducting paired t-tests on scores of each model, we confirmed that the suggested model shows better performance in 26 tests out of 30. In addition, the suggested model was the best model in terms of accuracy. This research proposes evaluation criteria extracting method that combines topic extraction using LDA and refinement with k-nearest neighbor approach. This method overcomes the limits of previous dictionary-based models and frequency-based refinement models. This study can contribute to improve review analysis for deriving business insights in e-commerce market.