• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.19 no.6
• /
• pp.118-133
• /
• 2020

Research interest in the Mobility-as-a-Service (MaaS) concept for enhancing users' mobility experience is increasing. In particular, dynamic pricing techniques based on reinforcement learning have emerged since adjusting prices based on the demand is expected to help mobility services, such as taxi and car-sharing services, to gain more profit. This paper provides a simulation framework that considers more practical factors, such as demand density per location, preferred prices, the distance between users and drivers, and distance to the destination that critically affect the probability of matching between the users and the mobility service providers (e.g., drivers). The aforementioned new practical features are reflected on a data structure referred to as the Matching Matrix. Using an efficient algorithm of computing the probability of matching between the users and drivers and given a set of precisely identified high-demand locations using HDBSCAN, this study developed a better reward function that can gear the reinforcement learning process towards finding more realistic dynamic pricing policies.

• Journal of Digital Convergence
• /
• v.19 no.3
• /
• pp.161-166
• /
• 2021

The macroeconomic concept represents the movement of a country's economy, and it affects the overall economic activities of business, government, and households. In the macroeconomy, by looking at changes in national income, inflation, unemployment, currency, interest rates, and raw materials, it is possible to understand the effects of economic actors' actions and interactions on the prices of products and services. The US Federal Reserve System (FED) is leading the world economy by offering various stimulus measures to overcome the corona economic recession. Although the stock price continued to decline on March 20, 2020 due to the current economic recession caused by the corona, the US S&P 500 index began rebounding after March 23 and to 3,694.62 as of December 15 due to quantitative easing, a powerful stimulus for the FED. Therefore, the FED's economic stimulus measures based on macroeconomic indicators are more influencing, rather than judging the stock price forecast from the corporate financial statements. Therefore, this study was conducted to reduce losses in stock investment and establish sound investment by analyzing the FED's economic stimulus measures and its effect on stock prices.

• Journal of Creative Information Culture
• /
• v.7 no.1
• /
• pp.43-52
• /
• 2021

In this paper, the necessity of independent operation of information curriculum was suggested by analyzing the changes and problems of elementary school information curriculum. Also, a plan was suggested to organize autonomous subjects for autonomous activities so that information education can be independently operated in elementary schools. Autonomous activity is an extension of the concept of creative experience activities, and refers to an educational activity time in which autonomous courses or various educational activities can be freely operated by reflecting the needs of students and parents or the characteristics of the school. It means a subject that you choose to run or do not have to choose. In the case of running an independent curriculum using the discretionary time of the principal, such as voluntary activities, the "safe life" of the 1st and 2nd graders in the 2015 elementary school curriculum and the 7th junior high school curriculum operate elective courses in subject discretionary activities. One can be found. Therefore, if information education in elementary schools can be organized and operated as autonomous subjects, at least students who want to learn artificial intelligence, coding, and big data will have an opportunity to learn in public education.

• Journal of Koreanology Reviews
• /
• v.1 no.1
• /
• pp.37-49
• /
• 2022

The purpose of this study is to discuss how Dongi People in ancient societies resided in the region including the Korean Peninsula shaped its economy, what kind of currency was used, and their economic activities using this currency. This study started from a skeptical point of view that the Dongi People were conducting economic activities with the currency used in the country made by the Jina People before and after the Gojoseon society. Currently, in China, all currencies issued in China are treated as their own currency. It is due to subjective interpretation from a nationalist point of view. Japan subjectively interprets and judges from a Japanese point of view and North Korea judges from the central point of view on the Korean Peninsula. This difference is due to the subjective interpretation from the researcher which has been affected by their associating academic area. This has caused the lack of objectivity. In other words, it means that there is a big difference in the perception of the interpretation of history between different academic areas. This study, therefore, tried to avoid the application of biased concept or academic research in order to define the distribution economics more objectively by conducting the study based on the literature sources from Chinese ancient books and field research materials as much as possible, as the study and research conducted based on the domestic sources are insufficient in the sense that there is a gap between different perceptions and interpretations. As a conclusion of this study, the excavation area of Myeong-do-jeon is perfectly consistent with the old river area of Gojoseon, and in particular, considering Gojoseon was in the hostile relationship with Yan, it was found that only Myeong-do-jeon was used without using any other Chinese currency in the entire Gojoseon area, not just some areas. It is also a decisive clue to prove that it is not the Yan currency. The limitation of this study in developing the discussion different from the current research and study is that there was a lack of exploration and investigation of various documents and relics. For future research, this study will become more meaningful when it is conducted simultaneously with the discovering of new documents as well as the relics.

• Journal of the Korea Convergence Society
• /
• v.12 no.4
• /
• pp.191-199
• /
• 2021

Based on survey and data analysis, this paper established a separate and hierarchical design process for lady bags. The design process is divided into four parts: survey, concept extraction, separation and hierarchy design and detail improvement. In light of the influence value grade of lady bag design elements, the data of key elements of lady bags were analyzed, and elements related to new product design were extracted to form conceptual elements, and integrated into design experiments at different levels. Then, their usable proportion in design was measured and applied in design to complete the design of new products. Through the experiment, this design process can provide designers with a new design perspective and improves the timeliness and practicability of fashion design.

• International Journal of Computer Science & Network Security
• /
• v.22 no.6
• /
• pp.230-240
• /
• 2022

Sharing of online videos via internet is an emerging and important concept in different types of applications like surveillance and video mobile search in different web related applications. So there is need to manage personalized web video retrieval system necessary to explore relevant videos and it helps to peoples who are searching for efficient video relates to specific big data content. To evaluate this process, attributes/features with reduction of dimensionality are computed from videos to explore discriminative aspects of scene in video based on shape, histogram, and texture, annotation of object, co-ordination, color and contour data. Dimensionality reduction is mainly depends on extraction of feature and selection of feature in multi labeled data retrieval from multimedia related data. Many of the researchers are implemented different techniques/approaches to reduce dimensionality based on visual features of video data. But all the techniques have disadvantages and advantages in reduction of dimensionality with advanced features in video retrieval. In this research, we present a Novel Intent based Dimension Reduction Semi-Supervised Learning Approach (NIDRSLA) that examine the reduction of dimensionality with explore exact and fast video retrieval based on different visual features. For dimensionality reduction, NIDRSLA learns the matrix of projection by increasing the dependence between enlarged data and projected space features. Proposed approach also addressed the aforementioned issue (i.e. Segmentation of video with frame selection using low level features and high level features) with efficient object annotation for video representation. Experiments performed on synthetic data set, it demonstrate the efficiency of proposed approach with traditional state-of-the-art video retrieval methodologies.

• International Journal of Computer Science & Network Security
• /
• v.22 no.6
• /
• pp.7-12
• /
• 2022

The modern stage of society's development is characterized by the rapid penetration of information technologies into all spheres of life. Their use contributes to improving the quality of tourism services, as well as the competitiveness of tourism industry enterprises. The role of information technology in tourism is growing more and more every year, which determines the relevance of the study of modern trends in the use of information technology in the tourism sector. The purpose of the study is to determine the possibilities of using information technologies to improve the quality of services provided to the tourism industry under the COVID-19 restrictions. The article systematizes the main approaches to the "cluster" category and provides an original definition of the "regional tourist cluster" concept. Based on an expert survey, the main trends in the introduction of information technologies in the tourism industry under the COVID-19 restrictions have been identified, which include virtual reality and augmented reality, speech recognition technologies, photo, video, audio (contactless control technologies), mobile IT applications and Big Data technologies. It has been concluded that the vast majority of improvements in the organization of tourism services under restrictions will be based on the organization of virtual solutions and online activities. The types of tourism services will also change, and information technology will help their development and dissemination.

• KIPS Transactions on Computer and Communication Systems
• /
• v.12 no.6
• /
• pp.189-196
• /
• 2023

Today, in the era of the 4th industrial revolution based on the paradigm of hyper-connectivity, super-intelligence, and superconvergence, the remote work environment is becoming central based on technologies such as mobile, cloud, and big data. This remote work environment has been accelerated by the demand for non-face-to-face due to COVID-19. Since the remote work environment can perform various tasks by accessing services and resources anytime and anywhere, it has increased work efficiency, but has caused a problem of incapacitating the traditional boundary-based network security model by making the internal and external boundaries ambiguous. In this paper, we propse a method to improve the limitations of the traditional boundary-oriented security strategy by building a security model centered on core components and their relationships based on the zero trust idea that all actions that occur in the network beyond the concept of the boundary are not trusted.

• Knowledge Management Research
• /
• v.23 no.4
• /
• pp.21-41
• /
• 2022

With the development of AI and digital technologies such as big data, metaverse, and the Internet of Things, Robotic Process Automation (RPA) has brought great development and change to companies. Among these realistic industrial areas by RPA, the call center service area, which consists of a combination of complex high-tech systems and professional operation groups, has now reached the stage where AI is conducting counseling. The evolution of this digital transformation has become an important direction of change in the digital-related industry sector. Along with these changes, there have been many changes in the technical stress of the members of the organization within the RPA organization and their solutions. In this study, the representative psychological mechanisms were presented as Digital Shadow Work (DSW), expressed as 'unpaid work', and Organizational Citizenship Behavior (OCB), which is 'an act that helps organizations other than their duties'. This study theoretically contributes to the extension of the DSW concept to the organizational members.

• Journal of Digital Convergence
• /
• v.20 no.3
• /
• pp.181-189
• /
• 2022

The purpose of this study is to investigate the innovation of business model and the effectiveness of the data-driven model. the main concepts and policies related to the data economy are reviewed, and implications are drawn through the analysis of data-based convergence service creation cases. This study identified the existing data-driven business model of the creation of MyData service industry in the financial industry and concept of the data economy. According to the empirical analysis result, this study confirmed that t considering the mobile environment and consumer acceptance of data portability, the ripple effect of the implementation of My Data on the financial industry is expected to be significant.