• 한국IT서비스학회지
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• 제23권2호
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• pp.31-47
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• 2024

With the spread of COVID-19, non-face-to-face social exchanges around the world have increased, leading to a rise in the demand for telework. The recent advancement in technology has facilitated the emergence of metaverse platforms, with telework utilizing the metaverse gaining significant popularity. Such metaverse telework is signaling innovative changes in the business environment, yet sufficient research has not been conducted. This study analyzed the factors affecting the perceived work productivity, job performance, and job satisfaction of metaverse telework users. To achieve this, an online survey was conducted, focusing on individual factors (self-management tactics, sense of belonging, social presence, IT complexity) and situational factors (perceived workload, organizational support, metaverse telework environment, and flexible work arrangements). Out of the total responses, 358 valid questionnaires were used for the analysis, excluding any insincere responses. The SPSS 27.0 software was employed to verify the research hypotheses. This study proposed effective strategies to enhance the efficiency of telework within the metaverse.

• 한국농업기계학회:학술대회논문집
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• 한국농업기계학회 2017년도 춘계공동학술대회
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• pp.27-27
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• 2017

Biocompatible capsules have recently been highlighted as novel delivery platforms of any "materials" (e.g., drug, food, agriculture pesticide) to address current problems of living systems such as humans, animals, and plats in academia and industry for agriculture, biological, biomedical, environmental, food applications. For example, biocompatible alginate capsules were proposed as a delivery platform of biocontrol agents (e.g., bacterial antagonists) for an alternative to antibiotics, which will be a potential strategy in future agriculture. Here, we proposed a new platform based on biocompatible alginate capsules that can control the movements as an active target delivery strategy for various applications including agriculture and biological engineering. We designed and fabricated large scale biocompatible capsules using alginates and custom-made nozzles as well as gelling solutions. To develop the active target delivery platforms, we incorporated the iron oxide nanoparticles in the large scale alginate capsules. It was found that the sizes of large scale alginate capsules could be controlled via various working conditions such as concentrations of alginate solutions and iron oxide nanoparticles. As a proof of concept work, we showed that the iron oxide particles-incorporated large scale alginate capsules could be moved actively by the magnetic fields, which would be a strategy as active target delivery platforms for agriculture and biological engineering (e.g., controlled delivery of agriculture pesticides and biocontrol agents).

• 정보과학회 논문지
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• 제43권3호
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• pp.296-303
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• 2016

시스템 자원과 가용한 전력량이 한정적인 모바일 실시간 시스템은 시간제약의 만족뿐만 아니라 시스템 부하가 높을 때는 시스템 자원을 최대한 활용하고 시스템 부하가 낮을 때는 에너지 소모량을 줄일 수 있어야 한다. 멀티프로세서 실시간 스케줄링 알고리즘인 EDZL(Earliest Deadline until Zero Laxity)은 높은 시스템 이용률을 가지고 있으나 에너지 절감기법에 대한 연구가 매우 적다. 본 논문은 멀티코어 플랫폼에서 EDZL 스케줄링의 동적 전압조절(DVFS) 기법을 다룬다. 본 논문은 full-chip DVFS 플랫폼을 위한 동일속도와 per-core DVFS 플랫폼을 위한 개별속도 산정 기법을 제안한다. EDZL 스케줄 가능성 검사에 기반을 둔 이 기법은 단순하지만 효과적으로 태스크들의 수행속도를 오프라인에 결정할 수 있다. 또한 모의실험을 통하여 제안한 기법이 효과적으로 에너지를 절감할 수 있음을 보인다.

• 디지털융복합연구
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• 제19권3호
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• pp.25-35
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• 2021

인터넷과 연결 가능한 기기만 있다면 어디서든 외국의 영상매체를 시청할 수 있게 되었다. Netflix와 Youtube는 대표적인 영상 플랫폼이고 많은 사람들이 이용하고 있기도 하다. 그러다보니 외국어를 알지 못하는 경우, 전적으로 자막에 의존할 수밖에 없다. 이에 본 연구에서는 두 개의 인기 플랫폼에서 양질의 번역을 제공하고 있는지 알아보기 위해 두 곳에서 동시에 상영하고 있는 영화를 골라 한국어 번역본을 가지고 비교해보고 더 나은 방향과 문제점을 도출하였다. 그 결과, 좋은 번역이란 번역가가 시청자들이 집중을 할 수 있게 적절한 생략과 자세한 설명을 한정된 시간과 공간 안에 할 수 있어야 한다. 작업물을 심도 있게 연구하고 충분한 시간을 들여 작업에 임한다면 번역의 퀼리티는 확연히 올라갈 것이다. 마지막으로 본 연구는 영상번역에 대한 가이드라인 없이 싼 단가에 최소한의 시간을 들여 제작한 영상물들의 오역을 통해 아직 과거에 머물고 있는 영상번역 시장 활성화에 기여하였다.

• 한국콘텐츠학회논문지
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• 제7권5호
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• pp.128-137
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• 2007

국내의 디지털 시네마 산업은 지금 급물살을 타고 있다. 디지털 시네마는 D.I(Digital Intermediate) 작업을 통한 영상의 향상, 제작비의 절감, 배급과 상영의 편의성, 이후 다른 플랫폼으로의 전환용이 등의 완연한 장점으로 국내영화산업의 토대를 바꾸고 있다. 이러한 디지털 시네마로의 빠른 전환은 대기업에 의해서 독과점으로 집중되어 운영되고 있는 한국영화산업 구조가 주요한 배경이다. 또한 최근에는 국내의 이동통신 대기업들이 네트워크와 플랫폼의 활용을 목적으로 영화산업에 적극적으로 진출 한 것도 또 다른 이유가 되고 있다. 그러나 반면에 국내의 디지털시네마 산업은 제작공정에 있어서 디지털에 대한 맹신과 남용, 데이터의 부족 과 배급에 있어서 표준화의 문제 등이 드러나고 있다. 지금은 국내의 디지털 시네마의 빠른 발전보다는 건강한 발전에 대해서 생각해보아야하는 시점이다.

• Journal of Information Processing Systems
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• 제15권6호
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• pp.1277-1295
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• 2019

With its technical development, digital printing is being universally introduced to the mass production of clothing factories. At the same time, many fashion platforms have been made for customers' participation using digital printing, and a tool is provided in platforms for customers to make designs. However, there is no sufficient solution in the production stage for automatically converting a customer's design into a file before printing other than designating a square area for the pattern designed by the customer. That is, if 30 different designs come in from customers for one shirt, designers have to do the work of reproducing the design on the clothing pattern in the same location and in the same angle, and this work requires a great deal of manpower. Therefore, it is necessary to develop a technology which can let the customer make the design and, at the same time, reflect it in the clothing pattern. This is defined in relation to the existing clothing pattern with digital printing. This study yields a clothing pattern for digital printing which reflects a customer's design in real time by matching the diagram area where a customer designs on a given clothing model and the area where a standard pattern reflects the customer's actual design information. Designers can substitute the complex mapping operation of programmers with a simple area-matching operation. As there is no limit to clothing designs, the variousfashion design creations of designers and the diverse customizing demands of customers can be satisfied at low cost with high efficiency. This is not restricted to T-shirts or eco-bags but can be applied to all woven wear, including men's, women's, and children's clothing, except knitwear.

• 한국건설안전학회 논문집
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• 제2권1호
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• pp.9-15
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• 2019

건설산업에서의 안전 수준 향상 노력에도 불구하고, 건설산업은 타 산업에 비해 높은 사망자수를 보이고 있다. 이러한 높은 사고율은 건설산업의 안전관리 측면에서 효과적인 대책이 필요함을 명확히 의미한다. 기존의 연구에서 주장하듯, 사고의 발생 가능성이 높은 공종이나 기인물을 파악하고 이에 적합한 안전대책을 세우는 것이 중요하다. 다수의 추락관련 건설재해가 작업발판 및 안전통로에서 발생한다는 점을 고려해보면, 안전관리 측면에서 가시설물을 중점적으로 다루어야 할 것이다. 이를 위해 본 연구에서는, 작업발판 및 안전통로와 관련된 6개년 1663개의 사망사고를 공사규모, 공정률, 공종, 직종에 의해 분류하고, 각 사망재해가 발생한 사례들을 분석함으로써 보다 중점적으로 관리되어야할 요소를 추출하였다.

• 한국IT서비스학회지
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• 제10권2호
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• pp.75-94
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• 2011

The industrial ecosystem around the Internet services has been evolving since the Internet was first introduced. The Net Neutrality issue best represents the process of the evolution and presents an inevitable challenge that the industry should overcome. This paper deals with this structural change with the Two-Sided Market framework and provides a System Dynamics(SD) model to evaluate the economic implications of the net neutrality policy. In particular, our approach analyzes the policy impacts when two competing platforms (network providers) play a role of the platform in a typical two-sided market, which connects Content Providers(CPs) with users. Previous studies show that the indirect network externality between these two markets makes the entire system tip to one platform. When the multi-homing in the CP market is allowed as in our model, however, their argument may lose its validity. To examine the system behavior, conducted here is SD simulations of our model. The simulation results show that co-existence of the competing platforms persists with the network effects over a certain threshold. The net neutrality policy seems to lower the threshold based on our experimental outcomes.

• 한국멀티미디어학회논문지
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• 제23권2호
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• pp.241-246
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• 2020

Hadoop is a framework to process large data sets in a distributed way across clusters of nodes. It has been a popular platform to process big data, but in recent years, other platforms became competitive ones depending on the characteristics of the application. Spark is one of distributed platforms to enable real-time data processing and improve overall processing performance over Hadoop by introducing in-memory processing instead of disk I/O. Whereas Hadoop is designed to work on Java and data analysis is processed using Java API, Spark provides a variety of APIs with Scala, Python, Java and R. In this paper, the goal is to find out whether the APIs of different programming languages af ect the performances in Spark. We chose two popular APIs: Python and Scala. Python is easy to learn and is used in AI domain in a wide range. Scala is a programming language with advantages of parallelism. Our experiment shows much faster processing with Scala API than Python API. For the performance issues on AI-based analysis, further study is needed.

• International Journal of Computer Science & Network Security
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• 제21권12호
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• pp.29-34
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• 2021

The Qur'an is regarded as the holy book by Islam followers; they assert that God wants humankind to understand its meanings and implement best practices. Numerous individuals have attempted to understand the meaning of its verses and explore its Extraordinary Vocabulary; however, few people successfully studied and researched the different meanings of that holy text. Only a limited segment of the society comprising scholars, students, and intellectuals have grasped the teachings of the Qur'an. A majority of the general population, specifically youngsters, spend ample time using mobile phones. In this context, many innovative educational platforms have recently been launched to attract the general public to learn and use knowledge. Research has provided the positive impact of such smart platforms. This concept is about an innovative smartphone platform to help users understand and reason the Qur'an by helping with the book vocabulary explained by expert scholars. This work proposes creating an engaging digital format using innovative technologies. This idea is inspired by youngsters who demonstrate an immense interest in online learning. Qur'an vocabulary is the prerequisite to building a better understanding that allows users to get precise meaning.