• Journal of Digital Convergence
• /
• v.19 no.4
• /
• pp.89-101
• /
• 2021

Scale-up of ICT startups is not easy because of limited capabilities, lack of resources, and immature networks for the business. Therefore, this research selected a representative startup succeeded in scale-up and applied the ERIS model in analyzing their scale-up process in the initial stages of scale-up. Analysis of qualitative data collected revealed that the entrepreneurs' experience, convergence of knowledge between diverse industries, participation in public-sector-led R&D, management of communication channels between customers and businesses, and utilization of project-oriented campaigns are found to be critical success factors in scaling up ICT startups. Academically, this study validates the utility of ERIS model in analyzing the scale-up process. For practitioners, this study will be used as a reference for strategic development in seucring the competitiveness of the initial market of ICT startups and scale-up.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.21 no.4
• /
• pp.663-671
• /
• 2017

This study analyzed the determinants influencing competitiveness of artificial intelligence industry of Korea. Analysis showed that the factors having the greatest influence on the national competitiveness of the artificial intelligence industry were, in decreasing order of importance, R&D, capital, and ICT competitiveness. Given the capital-intensive characteristic of the artificial intelligence technology, it is important to enhance the national R&D capacity in artificial intelligence technology and ICT, and to make substantial investments in the establishment of related infrastructure. Considering that the development and utilization of ICT infrastructure serves as the basis for artificial intelligence technology, the high standards of Korean consumers are expected to have a positive catalytic effect on the acquisition of national competitiveness for the artificial intelligence industry. For companies to respond in a timely manner to the rapid dissemination and high impact of artificial intelligence technology, they must prepare for such advancements by improving their competencies.

• Journal of Korean Society of Coastal and Ocean Engineers
• /
• v.32 no.4
• /
• pp.230-241
• /
• 2020

Since the construction of Pohang New Port, the problems of the low harbor tranquility caused by decreasing port operation rate has been continuously reported. In order to improve the harbor tranquility, a detached breakwater (DB) has been constructed outside the outer breakwater of Pohang New Port in 2018~2020. In this study, the effectiveness of the DB was proved by comparing the reduction rates of wave heights that were observed before and after the construction of the DB. First, the observed data were compared with the numerical model results available from a previous study, and the model data showed reasonable agreement with measured data at 3 out of 4 locations inside the port. The discrepancy in one of the locations was because the model could not accurately calculated the effect of wave interference in the inner corner of the port. The observation data showed excellent results that the number of waves that exceeded 0.3 m, the critical value to reach desired harbor tranquility, was significantly reduced after the construction of the DB. In addition, the reduction rate, the ratio of wave heights between outside and inside of the port, was decreased after the DB construction, which proved that properly designed coastal structures such as DB in this study could be effective in improving the port tranquility. The results of this study can be usefully applied for solving problems in similar cases.

• Journal of Korean Society of Forest Science
• /
• v.111 no.4
• /
• pp.630-643
• /
• 2022

This study was conducted to derive the fresh weight and dry weight estimation formulas of Pinus densiflora and prepare a weight table using them. Aone-variable formula using only the diameter at breast height (DBH) and a two-variable formula using DBH and height were used to calculate the fresh and dry weight. Each equation was verified using statistics, such as fit index, standard error, and residuals. Theoptimal equation was evaluated for applicability by calculating the weight as a coefficient derived from a statistical verification. W = bD+cD² was selected for the one-variable equation, while W = aD^bH^c was selected for the two-variable equation. The fit index of the former was 0.87-0.92, while that of the latter was 0.94-0.98, both of which showed a good fit. A new weight table was prepared using the optimal estimation formula, and it was compared and analyzed with a previous weight table. Analysis results showed that Gangwon pine had higher values in the previous weight table, while pines in the central region had higher values in the newly created weight table.

• International Journal of High-Rise Buildings
• /
• v.12 no.4
• /
• pp.343-350
• /
• 2023

With the advent of the recent Fourth Industrial Revolution, efforts are vigorously underway to comprehend the new paradigm of Construction 4.0, following in the footsteps of Industry 4.0, and to establish novel production systems. The necessity and significance of technological advancements in the field of construction automation and robotics, a pivotal component for Construction 4.0, are being emphasized. This paper aims to discuss the concept of construction automation and robotics, encompassing its past, present, and future prospects. Particularly, it reviews the six relevant papers featured in the June 2022 special issue of IJHRB, along with discussions on the integration of cutting-edge ICT technologies and R&D in the realm of automation and robotics. With the progression of ICT technology, the domain of construction automation and robotics is anticipated to play a substantial role in the realization of Construction 4.0 and smart construction through more dynamic convergence in technological development.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.19 no.1
• /
• pp.34-47
• /
• 2018

As interest in advanced countries regarding the convergence technology development increases, a methodology for identifying the core convergence technology that has a large spill-over effect on the technology and industry is required for the nation's competitiveness enhancement in the convergence technology field. Based on patent citation network analysis using 1,124 USPTO patents in the ICT convergence technology field of the smart factory, this study examined the proposed heterogeneous technology convergence index as a tool for measuring the convergence characteristics of the spillovers compared to other indexes (i.e. other sector ratio index and homogeneous technology convergence index). The proposed heterogeneous technology convergence index was used to investigate core technology sectors among ICT technology sectors of smart factory identified by government ministries. Results found 6 core ICT convergence technology sectors including the manufacturing execution analysis application sector. Also, this study conducted blockmodeling analysis using the IPC codes of patents in the manufacturing execution analysis application sector, and identified that the blocks representing the electronic communication and electric digital data processing technology sectors (Block 3 & 4) are related technology sectors which can be converged with core technology. Based on the findings, the implications for the convergence technology development planning of the smart factory field are discussed.

• Asian Journal of Innovation and Policy
• /
• v.4 no.1
• /
• pp.19-34
• /
• 2015

Silicon Valley's legal foundation in recent years has surfaced on the radar of policy planners who model Silicon Valley's information and communication technologies (ICT) industry. Precisely, the prohibition of covenants not to compete (CNCs) is linked to firm-to-firm knowledge spillovers by way of mobile workers positioned as nodes in a system of innovation. Meanwhile, traditional frameworks support enforcement of CNCs as a way to encourage R&D activities to the worker and to prevent the worker's tacit knowledge and know-how from fleeing. Amidst the battle for the restraint or release of human capital, we present an industrial approach to reconcile the ostensible strife between enforcement and prohibition frameworks. Theoretically, we contend an industrial approach can maximize the policy tools of discorded planners. Moreover, this article newly compares the ICT industries of Silicon Valley and Route 128 to argue that California's law is a unique factor in the greater success of Silicon Valley firms.

• Journal of Platform Technology
• /
• v.11 no.4
• /
• pp.13-18
• /
• 2023

3D content rendering is one of the important factors that give a sense of realism when creating content, and this process takes a lot of time. In this paper, we proposed a method to improve rendering performance by reducing the vast amount of 3D data in the web environment, and conducted a performance test using DEM and 3D model elevation data. As a result of the experiment, the digital elevation model showed faster performance than the Blender-based 3D modeling, but when the screen was moved using OrbitControl, the fps dropped momentarily. In the case of Terrain, if the range is limited to a speed that maintains 24 to 60 fps using frustum culling and LOD techniques, it is considered that a higher quality map can be produced than GeoTIFF.

• Informatization Policy
• /
• v.27 no.4
• /
• pp.67-84
• /
• 2020

This study proposes a smart city service revitalization policy based on communication facility infrastructure in 5G CPS - the core of the 4th industrial revolution, R&D, and related legislations. The 5G CPS is a converged form of ICT technologies, communications facilities, and physical systems. In this study, we propose methods of creating new services for the smart city domain based on communication facilities and the cloud platform in 5G CPS - first, by improving the communication methods classification system based on the facility scale; second, by establishing the national telecommunication facility infrastructure and making long-term investment; third, by reorganizing the Smart City Act aimed at activating new services; and lastly, by expanding the national data analytics R&D and policy support.

• International Journal of Contents
• /
• v.13 no.4
• /
• pp.47-62
• /
• 2017

This paper analyzes how much the gap existed between the public group and expert group using future issues and future core technologies that are announced in government institutions based on ontology. We calculated gap with two groups' point of view, one is expert groups' ideas that are based on future hopeful technologies documents, and another is public people ideas that are based on documents of contest that is hosted by 'Ministry of Science, ICT and Future Planning (MSIP)', and 'Institute for Information & communications Technology Promotion (IITP)'. For calculating these, we suggested SDGM model. In the case of ETRI Meta-trend ICT Field, there is a little gap between expert group and public group, and another case that is XT (ETRI determined future technologies excluding ICT field) Field, the gap is increasing annually. Moreover, in the case of all ETRI Meta trend, the gap is bigger than ICT and XT field. We analyzed, also, KEIT's future issues for generalizing this model. The gap existed between two groups. Utilizing SDGM model of this paper, people can interpret easily how much the gap exists between future technologies and issues that are announced in institutions.