• 무역학회지
• /
• 제47권6호
• /
• pp.335-353
• /
• 2022

There are two aspects of digital trade: the digitalisation of goods/services being traded and the digitalisation of the transactional act. Digital data (i.e. machine-readable industrial data and transactional data) is the major driving force for both aspects of digital trade. Digital data is a non-rivalrous input, whether for production or marketing activities, and is thus able to be used by many firms or government agencies without limiting the use of others. Digital platforms provide online infrastructure for the interactions between groups, for instance, consumers and producers. The externality effect refers to the situation in which prosperity in one group on a given platform will improve the returns of other groups on the same platform. In the era of the data-driven economy, strategic trade policy can involve data-related policies. The major objective of these policies is to improve the competitiveness of domestic firms. For instance, firms may be subsidised if they use cloud services provided by specific platforms. This strand of strategic trade policies might be useful for increasing the competitiveness of small-and medium-sized enterprises (SMEs) via the digitalisation of production/marketing processes. Alternatively, strategic trade policy may also exploit the externality effect via platform economy-related policies. Further, some countries may form data coalitions to facilitate cross-border data flow. This paper uses cases in Asian countries to illustrate which role these strategic trade policies can play in the digital economy.

• 무역학회지
• /
• 제47권3호
• /
• pp.57-73
• /
• 2022

The process and change of convergence in the economy and industry with the development of digital technology and combining with new technologies is called Digital Transformation. Specifically, it refers to innovating existing businesses and services by utilizing information and communication technologies such as big data analysis, Internet of Things, cloud computing, and artificial intelligence. Digital transformation is changing the shape of business and has a wide impact on businesses and consumers in all industries. Among them, the big data and analytics market is emerging as one of the most important growth drivers of digital transformation. Integrating intelligent data into an existing business is one of the key tasks of digital transformation, and it is important to collect and monitor data and learn from the collected data in order to efficiently operate a data-based business. In developed countries overseas, research on new business models using various data accumulated at the level of government and private companies is being actively conducted. However, although the trade and import/export data collected in the domestic public sector is being accumulated in various types and ranges, the establishment of an analysis and utilization model is still in its infancy. Currently, we are living in an era of massive amounts of big data. We intend to discuss the value of trade big data possessed from the past to the present, and suggest a strategy to activate trade big data for trade digital transformation and a new direction for future trade big data research.

• 헤리티지:역사와 과학
• /
• 제56권1호
• /
• pp.6-19
• /
• 2023

자료관리와 정보력이 국력의 척도가 되었으나, 디지털 기술에의 의존 증대로 인한 위험마저 높아진 미묘한 상황을 맞고 있다. 그런 변화의 속도가 빠른 만큼 기존 자료의 디지털 전환 및 디지털 자료관리의 중요성도 급격히 증대되고 있다. 고고자료와 정보도 예외일 수는 없다. 과거에 산발적으로 이루어지던 디지털화를 좀 더 전면적이고 체계적으로 신속하게 수행하지 않을 수 없게 되었다. 그런 작업의 효과적인 진행을 위해서는, 디지털 아카이브에 포함될 고고자료의 특징에 대한 분명한 인식이 선행되어야 할 듯하다. 고고자료는 발굴이라는 원천을 파괴하는 과정을 통해 자료가 생성된다는 점, 장구한 시간대에 걸친 다방면의 인류 과거 경험을 연구 대상으로 하는바, 축적되는 자료의 종류가 다각적이고 그 양이 방대할 수밖에 없다는 점, 원본 수기자료(사진, 도면, 야장 등)의 자연적 소멸에 따른 피해가 심각하다는 점 등을 특징으로 한다. 이러한 특징은 디지털 암흑기를 맞을 경우, 원상 복구의 어려움이 상상을 초월할 정도로 커지게 할 수밖에 없다. 현재 경향과 자료의 특성을 동시에 고려해야만 지속가능한 고고 디지털 아카이브의 구축의 전략이 수립될 것이다. 필자는 소비자인 인문학도의 입장에서 ① 디지털 관리책무 체제 확충, ② 활용성에 대한 인식과 역량의 제고, ③ (국제) 공조적 체계의 구축, ④ 디지털고고학 플랫폼으로의 도약 등을 그 전략으로 제안한다.

• 전자공학회논문지
• /
• 제49권12호
• /
• pp.142-146
• /
• 2012

Today, the demand for high-speed data communication and mobile communication has exploded. Thus, there is a growing need for optical communication systems that convert large volumes of data to optical signals and that accommodate and transmit the signals across long distances. Digital optical communication with these characteristics consists of a master unit (MU) and a slave unit (SU). However, the digital optical units that are currently commercialized or being developed transmit data without compression. Thus, digital optical communication using these units is restricted by the quantity of optical frames when adding diversity or operating with various combinations of CDMA, WCDMA, WiBro, GSM, LTE, and other mobile communication technologies. This paper suggests the application of a data compression algorithm to a digital signal processor (DSP) chip as a field programmable gate array (FPGA) and a complex programmable logic device (CPLD) of a digital optical unit to add separate optical waves or to transmit complex data without specific changes in design of the optical frame.

• International Journal of Advanced Culture Technology
• /
• 제11권3호
• /
• pp.149-155
• /
• 2023

Since developing digital technology requires new skills in digital literacy, digital competence also has become a keystone in English classes. This study explores three aspects of English as a Foreign Language (EFL) learners' digital confidence: information and data literacy, communication and collaboration, and digital content creation, based on the European Digital Competence Framework for Citizens (DigComp). The participants were 150 Korean college students enrolled in two general English classes, and their English proficiency levels were from basic to advanced; each level consisted of 30 participants. In order to assess their digital confidence, I designed a Google survey form and collected data during two semesters. The survey results revealed that the participants had highest digital confidence in information and data literacy and overall, the female participants showed higher digital confidence than their male counterparts. It also showed that the learners' English proficiency and computer skills are important factors.

• 한국실내디자인학회논문집
• /
• 제13권3호
• /
• pp.187-196
• /
• 2004

The purpose of this study is to develope'a digital space design process using user's motion data' through a theoretical and experimental study. In the progress of developing a developing of design process, this study was concentrated on searching a digital method applying user's interactive reflections. As introducing a concept of space form being generated by user's experiences, we proposed'a digital design process using user's motion data'. In the experimental stage, user's motion data were extracted and transferred as digital information by user behavior analysis, optical motion capture system, immersive VR system, 3D softwares com computer programming. As the result of this study, another useful digital design process was embodied by building up a digital form-transforming method using 3D softwares providing internal algorithm. This study would be meaningful in terms of attempting a creative and interactive digital space design method, avoiding dehumanization of existing ones through the theoretical study and the experimental approach.

• 한국컴퓨터정보학회논문지
• /
• 제18권6호
• /
• pp.47-54
• /
• 2013

본 논문에서는 디지털 운행기록장치로부터 수집된 운행기록 데이터에 대한 효율적인 디지털 인증이 가능한 시스템을 제안하였다. 국내의 경우 수집된 운행기록 데이터가 위변조 되지 않은 신뢰성 있는 정보인지를 판단할 수 있는 방안이 마련되어 있지 않다. 제안하는 방법은 전자서명을 이용하여 전송된 운행기록 데이터가 위변조 되지 않았음을 증명할 수 있다. 디지털 인증을 위한 서명 값 생성은 운행기록 데이터의 해시 값을 구하여 전자서명 생성키로 생성한다. 그리고 데이터 위변조에 대한 확인은 전자서명 값으로부터 전자서명 검증키를 사용하여 해시 값을 구하여 보관된 해시 값과 일치 여부 확인을 통해 이루어진다. 제안하는 방법은 시스템 구현 및 실험을 통하여 운행기록 데이터에 대한 신뢰성을 보장함을 확인하였다.

• 한국인공지능학회지
• /
• 제9권2호
• /
• pp.7-14
• /
• 2021

Purpose: To solve urban problems, empirical research is being actively conducted to implement a smart city based on various ICT technologies, and digital twin technology is needed to effectively implement a smart city. A digital twin is essential for the realization of a smart city. A digital twin is a virtual environment that intuitively visualizes multidimensional data in the real world based on 3D. Digital twin is implemented on the premise of the convergence of GIS and BIM, and in particular, a lot of time is invested in data pre-processing and labeling in the data construction process. In digital twin, data quality is prioritized for consistency with reality, but there is a limit to data inspection with the naked eye. Therefore, in order to improve the required time and quality of digital twin construction, it was attempted to detect a building using Mask R-CNN, a deep learning-based masking algorithm for aerial images. If the results of this study are advanced and used to build digital twin data, it is thought that a high-quality smart city can be realized.

• Healthcare Informatics Research
• /
• 제24권4호
• /
• pp.253-262
• /
• 2018

Objectives: We reviewed digital epidemiological studies to characterize how researchers are using digital data by topic domain, study purpose, data source, and analytic method. Methods: We reviewed research articles published within the last decade that used digital data to answer epidemiological research questions. Data were abstracted from these articles using a data collection tool that we developed. Finally, we summarized the characteristics of the digital epidemiological studies. Results: We identified six main topic domains: infectious diseases (58.7%), non-communicable diseases (29.4%), mental health and substance use (8.3%), general population behavior (4.6%), environmental, dietary, and lifestyle (4.6%), and vital status (0.9%). We identified four categories for the study purpose: description (22.9%), exploration (34.9%), explanation (27.5%), and prediction and control (14.7%). We identified eight categories for the data sources: web search query (52.3%), social media posts (31.2%), web portal posts (11.9%), webpage access logs (7.3%), images (7.3%), mobile phone network data (1.8%), global positioning system data (1.8%), and others (2.8%). Of these, 50.5% used correlation analyses, 41.3% regression analyses, 25.6% machine learning, and 19.3% descriptive analyses. Conclusions: Digital data collected for non-epidemiological purposes are being used to study health phenomena in a variety of topic domains. Digital epidemiology requires access to large datasets and advanced analytics. Ensuring open access is clearly at odds with the desire to have as little personal data as possible in these large datasets to protect privacy. Establishment of data cooperatives with restricted access may be a solution to this dilemma.

• 한국측량학회:학술대회논문집
• /
• 한국측량학회 2006년도 춘계학술발표회 논문집
• /
• pp.475-484
• /
• 2006

Recently, the studies on the extraction of 3-dimension coordinate and attribute information of objects using LiDAR data are carried out widely. LiDAR data has high locational accuracy, and advantage that can process data more fast because there's not coordinate transform when acquire of Data justly the ground coordinate by Acquiring. The purpose of the paper using only LiDAR data Manufacture road, building, contour That occupy a many parts of Digital Map. Estimated for possibility of Digital mapping using only LiDAR data As that compare accuracy with traditional Digital map.