• Industry Promotion Research
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• v.8 no.1
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• pp.55-68
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• 2023

The purpose of this study is to investigate the factors that influence the intention to continuously use the RPA program used in the financial industry for those working in the financial industry. In particular, the purpose of this study is to understand the will to accept and the perception of acceptance conflict by considering the characteristics of individuals in the relationship between work and information technology. As a result of the study, it can be confirmed that the RPA system based on intelligent process automation including artificial intelligence should be further strengthened in the transformation of a digitalized enterprise rather than the RPA based on simple task automation that is currently most used. In general, the phenomenon of cognitive dissonance was prominent for the adoption of new technology, but the phenomenon of cognitive dissonance did not appear for the continued use of RPA in the financial industry. Able to know. In the future in the financial industry, it is thought that the change in the labor organization will be accelerated as the suitability of repetitive tasks and technologies is increased.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.821-830
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• 2023

The advancement of Internet network technology has triggered the emergence of new OTT video content platforms, increasing demand for content and altering consumption patterns. This trend is bringing positive changes to the South Korean animation industry, where diverse and high-quality animation content is becoming increasingly important. As investment in technology grows, video production technology continues to advance. Specifically, 3D animation and VFX production technologies are enabling effects that were previously unthinkable, offering detailed and realistic graphics. The Fourth Industrial Revolution is providing new opportunities for this technological growth. The rise of Artificial Intelligence (AI) is automating repetitive tasks, thereby enhancing production efficiency and enabling innovations that go beyond traditional production methods. Cutting-edge technologies like 3D animation and VFX are being continually researched and are expected to be more actively integrated into the production process. Digital technology is also expanding the creative horizons for artists. The future of AI and advanced technologies holds boundless potential, and there is growing anticipation for how these will elevate the video content industry to new heights.

• Information Systems Review
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• v.25 no.2
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• pp.31-56
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• 2023

As the COVID-19 pandemic is prolonged, non-contact work has increased, as well as the demand for automation of simple and repetitive questions and tasks with success of using them. Therefore, companies are attempting to expand the area of automated business and apply various technologies such as AI to complex and various business processes of E2E to provide automation of all business. However, the extension to Intelligent Process Automation (IPA) is still in its beginning stage so that it is difficult to find practical use cases and related solutions. In this aspect, it is safe to say that there is insufficient evidence for companies which have various and complex enterprise processes to make a decision about the adoption. In this study, to solve this problem, a Hyper Automation Platform (HAP) that consists of RPA, Chatbot, and AI technology was proposed. Moreover, an implementation method that can bring intelligent process automation using HAP, and practical use-cases were provided so that it makes it possible to review the implementation of the HAP objectively and comprehensively. This study is meaningful and valuable to check the feasibility of the Hyper Automation concept and to actively utilize HAP.

• Information Systems Review
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• v.21 no.4
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• pp.143-156
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• 2019

Types of innovation can be categorized into simplification, information, automation, and intelligence. Intelligence is the highest level of innovation, and RPA can be seen as one of intelligence. Robotic Process Automation(RPA), a software robot with artificial intelligence, is an example of intelligence that is suited for simple, repetitive, large-scale transaction processing tasks. The RPA, which is already in operation in many companies in Korea, shows what needs to be done to naturally focus on the core tasks in a situation where the need for a strong organizational culture is increasing and the emphasis is on voluntary leadership, strong teamwork and execution, and a professional working culture. The introduction was considered naturally according to the need to find. Robotic Process Automation, or RPA, is a technology that replaces human tasks with the goal of quickly and efficiently handling structural tasks. RPA is implemented through software robots that mimic humans using software such as ERP systems or productivity tools. RPA robots are software installed on a computer and are called robots by the principle of operation. RPA is integrated throughout the IT system through the front end, unlike traditional software that communicates with other IT systems through the back end. In practice, this means that software robots use IT systems in the same way as humans, repeat the correct steps, and respond to events on the computer screen instead of communicating with the system's application programming interface(API). Designing software that mimics humans to communicate with other software can be less intuitive, but there are many advantages to this approach. First, you can integrate RPA with virtually any software you use, regardless of your openness to third-party applications. Many enterprise IT systems are proprietary because they do not have many common APIs, and their ability to communicate with other systems is severely limited, but RPA solves this problem. Second, RPA can be implemented in a very short time. Traditional software development methods, such as enterprise software integration, are relatively time consuming, but RPAs can be implemented in a relatively short period of two to four weeks. Third, automated processes through software robots can be easily modified by system users. While traditional approaches require advanced coding techniques to drastically modify how they work, RPA can be instructed by modifying relatively simple logical statements, or by modifying screen captures or graphical process charts of human-run processes. This makes RPA very versatile and flexible. This RPA is a good example of the application of digital to intelligence(D2I).

• Journal of the Korean Society for Library and Information Science
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• v.52 no.3
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• pp.289-334
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• 2018

Even though information in many languages other than English is quickly increasing, English is still playing the role of the lingua franca and being accounted for the largest proportion on the web. Therefore, it is necessary to investigate the key features and differences between "information searching behavior using mother tongue as a search language" and "information searching behavior using English as a search language" of users who are non-mother tongue speakers of English to acquire more diverse and abundant information. This study conducted the experiment on the web searching which is applied in concurrent think-aloud method to examine the information searching behavior and the cognitive process in Korean search and English search through the twenty-four undergraduate students at a private university in South Korea. Based on the qualitative data, this study applied the frequency analysis to web search pattern under search language. As a result, it is active, aggressive and independent information searching behavior in Korean search, while information searching behavior in English search is passive, submissive and dependent. In Korean search, the main features are the query formulation by extract and combine the terms from various sources such as users, tasks and system, the search range adjustment in diverse level, the smooth filtering of the item selection in search engine results pages, the exploration and comparison of many items and the browsing of the overall contents of web pages. Whereas, in English search, the main features are the query formulation by the terms principally extracted from task, the search range adjustment in limitative level, the item selection by rely on the relevance between the items such as categories or links, the repetitive exploring on same item, the browsing of partial contents of web pages and the frequent use of language support tools like dictionaries or translators.

• Cartoon and Animation Studies
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• s.44
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• pp.33-56
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• 2016

As the rapid extension of the game and film industry, studies on developing natural movements on a 3D characters are increasing. Rigging a character with joints is essential to create realistic movements on a 3D character. The rapid development of the CG industry, rigging technologies and workflow is becoming more sophisticated. Despite the progress and the growth of rigging operations, has shown the limitations of such repetitive tasks. For this study, analyzes the issues and inefficiency of the old method of skin weights and propose a better approach. First, need to understand the general process of an animation pipeline and learn the technology term of skin weights. Second, comparing the traditional ways of skinning a character and applying other deformers to work properly. Third, testing out new ways of weighting a character by applying deformers such as lattice and finally converting lattice weights back to skin weights. Forth, verifying effectiveness of the new method of skin weights by comparing with the traditional skin weighting process. The study shows that the new method of skin weights, reduced working hours and a better final weighting outcome. Expecting this study to enhance the method of skin weights and able to utilize this new skinning technology.

• The Journal of the Korea Contents Association
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• v.13 no.8
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• pp.266-274
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• 2013

This study was developed to provide the basis for efficient bedside training by discovering and analyzing ways to reduce stress when students are in clinical practice. The present study was conducted using a 3-part questionnaire format and was based on 253 participants who were students completing clinical practice. The results showed that environmental factors were the most stressful for students in the department of radiology. According to the questionnaire, the highest factor relating to stress was 'standing for long durations' with a value of $3.27{\pm}1.04$, and values were respectively high in the sections on' disregard when students have a lack of knowledge' and 'repetition in simple tasks'. Students who had a good training atmosphere, good relationships with clinical radiological technologists and other students, and students who had high self-esteem showed low stress levels. The effect on BEPSI scale increased as interpersonal relationships and performance declined. Therefore, training institutions should consider relaxation areas for students, radiological technologists should not ignore the reality that students do not have substantial knowledge in clinical practice and comparisons made between students should not exist. In addition, there is the need to make an effort to reduce stress experienced by students in clinical practice through the use of positive communication and encouragement by assigning various training opportunities, providing areas to sit and initiating relaxation periods for students to reduce fatigue, as well as challenging students rather than restricting them to the simple and repetitive routines they encounter in clinical practice.

• Journal of Preventive Medicine and Public Health
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• v.27 no.2 s.46
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• pp.230-241
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• 1994

Though people occupationally exposed to machineries and automation in the industrialized society desire work involving decreased strength, due to the continuous and repetitive activities, a new industrial stress is present. Studies on prevalence of musculoskeletal disease and their related risk factors have evolved. In this study in relation to work tasks, we investigated the differences in musculoskeletal symptoms occurring In each body region. The results of the survey were as follows. 1. When comparing age, level of education, work duration, job satisfaction and leisure time activities according to work task, age in control group was $38.83{\pm}5.5$, in comparison to the other 2 groups was smaller(p<0.05), and level of education in control group was higher (p<0.05). Work duration in the cutting department was $8.04{\pm}4.99$ years longer than the other 2 groups (p<0.05), but there was no difference in the job satisfaction and leisure time activities. 2. The mean of symptom scores of each work task was 1.54 in the cutting department, 1.57 in the press department and 1.59 in the control group, and there was no significant differnce in the 3 groups. The mean of symptom scores for upper extremities in the control group was low but no statistically significant diffrence was shown. 3. When comparing the mean of symptom score according to work task in the each body region, in the shoulder region, the symptom score in the press department which desired strength was higher than the other 2 groups but no significant difference was shown. In the wrist region the cutting department scored 1.01 and in comparison to the other 2 groups was significantly increased (p<0.05). 4. The results of the univariate regression analysis on the major individual risk factors associated with musculoskeletal symptom relating work showed that previous symptom complaints in the same body region was significant risk factor(p<0.001) in the whole body Besides wrist, hip, and knee, psychological problem was shown to be a significant factor(p<0.05). And the body regions which work task was significant risk factor were wrist and neck region (p<0.05). 5. The results of the multiple regression analysis involving significant factors of each body region from the univariate regression analysis showed that previous symptom complaint in whole body region(p<0.001) and psychological problem in the shoulder, elbow and lumbar region (p<0.05) were significant factors, and work task was significant factor in the wrist (p<0.05).

• Journal of KIISE
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• v.43 no.4
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• pp.450-459
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• 2016

Every year, RDFS data tends further toward scalability; hence, the manner of SPARQL processing needs to be changed for fast query. The query processing method of SPARQL has been studied using a scalable distributed processing framework. Current studies indicate that the query engine based on the scalable distributed processing framework i.e., Hadoop(MapReduce) is not suitable for real-time processing because of the repetitive tasks; in addition, it is difficult to construct a query engine based on an In-memory Distributed Query engine, because distributed structure on the low-level is required to be considered. In this paper, we proposed a method to construct a query engine for improving the speed of the query process with the mass triple data. The query engine processes the query of SPARQL using the SparkSQL, which is an In-memory based, distributed query processing framework. SparkSQL is a high-level distributed query engine that facilitates existing SQL statement. In order to process the SPARQL query, after generating the Algebra Tree using Jena, the Algebra Tree is required to be translated to Spark Algebra Tree for application in the Spark system, and construction of the system that generated the SparkSQL query. Furthermore, we proposed the design of triple property table based on DataFrame for more efficient query processing in the Spark system. Finally, we verified the validity through comparative evaluation with the query engine, which is the existing distributed processing framework.

• Korean Journal of Construction Engineering and Management
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• v.17 no.4
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• pp.3-11
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• 2016

Recently, overseas plant orders of domestic enterprises are steadily increased, and the amount of orders in the first half of 2014 were 93% increased compared to the previous year. In addition, now which is the third quarter of 2015, overseas plant orders are already over 249.8 billion dollars so the interests of plant industry research has been increased. In the life cycle of the plant project, CM before the construction stage is to complement the uncertainties that are inherent in the early stages of the project, and from the viewpoint of supporting the rational decision-making, the importance of its role is on the rise. Among them, excavating and investing participation plan in the planning stage is an important work that has a large impact force to influence the success and failure of future project. However, the work has become a problem with frequent consultations due to decision-making, continuous modification, and inefficient repetitive tasks. Therefore, it is needed that work process should be changed to effectively accommodate. The purpose of this paper is to derive the major work items for excavating and investing participation plan in the planning stage of the plant project, and establish a standardized work process through the Delphi analysis. The result of this study is expected to be utilized for EPC companies in ensuring the technical competitiveness in planning on overseas markets, and improve the efficiency of work.