• Title/Summary/Keyword: Hyper Automation

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A Case Study in Applying Hyperautomation Platform for E2E Business Process Automation (E2E 비즈니스 프로세스 자동화를 위한 하이퍼오토메이션 플랫폼 적용방안 및 사례연구)

  • Cheonsu Jeong
    • 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.

An Exploratory Study on Contactless Digital Economy: the Characteristics, Regulatory Issues and Resolutions (비대면 디지털 경제에 대한 탐색적 연구: 특성, 규제쟁점 및 개선방안을 중심으로)

  • Shim, Woohyun;Won, Soh-Yeon;Lee, Jonghan
    • Informatization Policy
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    • v.29 no.2
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    • pp.66-90
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    • 2022
  • The radical digital transformation and development of the contactless digital economy in the wake of the COVID-19 pandemic are increasing the need to solve various problems such as conflicts of interest among market participants and delays in related laws and regulations. This study investigates the concept and characteristics of the contactless digital economy and identifies the related regulatory issues and resolutions through literature review, news article analysis, and expert interviews. From the literature review, it is identified that the contactless digital economy has eight hyper-innovation characteristics: hyper-intelligence, hyper-connectivity, hyper-convergence, hyper-personalization, hyper-automation, hyper-precision, hyper-diversity, and hyper-trust. From news article analyses and expert interviews, this study identifies various regulatory issues, such as competition between incumbents and new entrants, the collision of constitutional rights, collision of social values, conflict between market participants, absence of laws and regulations, and existence of excessive market power, and then proposes a series of resolutions.

A Study on the RPA Interface Method for Hybrid AI Chatbot Implementation (하이브리드 AI 챗봇 구현을 위한 RPA연계 방안 연구)

  • Cheonsu, Jeong
    • KIPS Transactions on Software and Data Engineering
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    • v.12 no.1
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    • pp.41-50
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    • 2023
  • Recently, as the Coronavirus disease 2019 (COVID-19) prolongs along with the development of artificial intelligence technology, a non-contact society has become commonplace. Many companies are promoting digital transformation and the activation of artificial intelligence introduction to respond to this which leads to dramatic increase of demand for Chatbot. In addition, a Chatbot has reached the point of processing business transactions from responding simple inquiries. However, it is necessary to develop an API to interface with the legacy system and there are many difficulties in connecting. To solve this, it is becoming important to establish a hybrid Chatbot environment through RPA interface. Recently, the combination of RPA and Chatbot is considered an effective tool for handling many business processes. But, there are many difficulties due to the lack of interface cases and the difficulty in finding a method to development them. This study suggests a method for building a hybrid Chatbot which is an interface Chatbot(Conversational UX) and RPA(Task Automation) from the perspective of hyper-automation based on actual development cases and review of literature review is presented, so that the interface method can be understood and develop more easily. Therefore, there are implications for actively using AI Chatbot for digital transformation.

A Study on the Fire detection Automation System on a Long Distance using HyperText Tranfer Protocol (HTTP를 이용한 원거리 화재감시 자동화시스템에 관한 연구)

  • 이광희;안형일;김응식
    • Proceedings of the Korea Institute of Fire Science and Engineering Conference
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    • 1996.11a
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    • pp.49-52
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    • 1996
  • 재해발생 형태가 시간과 장소에 따라 미료하게 달라지고 사고 발생시 재산피해는 극대화될 가능성이 높아짐에 따라 위험요소 감지를 위한 중앙집중적감시의 방재 시스템을 선호하고 있다. 그러나 기존의 종합 방재 시스템에서 사용하고 있는 RS232C나 RS422로는 원거리에서의 제어 및 감시가 곤란하다. 본 논문에서는 인터네트상의 WWW프로토콜인 HTTP를 사용하여 원거리에서 감시 및 제어할 수 있는 자동화 방재시스템의 통신환경을 구현하였다.

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Analysis of Trends in Hyper-connected Virtual Infrastructure Management Technology (초연결 가상 인프라 관리 기술 동향 분석)

  • Shim, J.C.;Park, P.K.;Ryu, H.Y.;Kim, T.Y.
    • Electronics and Telecommunications Trends
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    • v.35 no.4
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    • pp.135-148
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    • 2020
  • Virtualisation in cloud computing is vital for maintaining maximum resource utilization and easy access to operation and storage management of components. Platform virtualisation technology has the potential to be easily implemented with the support of scalability and security, which are the most important components for cloud-based services. Virtual resources must be allocated to a centralized pool called the cloud, and it is considered as cloud computing only when the virtual resources are orchestrated through management and automation software. Therefore, research and development on the latest technology for such a virtualisation platform provides both academia and industry the scope to deploy the fastest and most reliable technology in limited hardware resource. In this research, we reviewed and compared the popular current technologies for network and service management and automation technology.

The Fourth Industrial Revolution and Changes of Pharmacists' Roles in the Future (제4차 산업혁명과 미래 약사 직능의 변화)

  • Kim, Yookyeong;Yoon, Jeong-Hyun
    • Korean Journal of Clinical Pharmacy
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    • v.30 no.4
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    • pp.217-225
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    • 2020
  • The fourth industrial revolution, with its characteristics of "hyper-connectivity", "hyper-intelligence" and "automation", is a hot topic worldwide. It will fundamentally change industry, economy, and business models through technological innovations, such as big data, cloud computing, Internet of Things (IoT), artificial intelligence (AI), and 3D printing. In particular, the development of highly advanced information technology (IT) and AI is expected to replace human roles, thereby changing employment and occupation prospects in the future. Based on this, some predict that the profession of the pharmacist will soon disappear. To counter this, pharmacists' attention and efforts are required to seek innovative transformations in their functions by responding sensitively and promptly to changes of the fourth industrial revolution. It is also necessary to recognize the new roles of pharmacists and to develop the competencies to perform them. The fourth industrial revolution is an inevitable change of the times. At this time, we should take comprehensive and open perspectives on how the future society will change economically, culturally, and socially, and use it as an opportunity to shape the new future of pharmacists.

Feature Selection and Hyper-Parameter Tuning for Optimizing Decision Tree Algorithm on Heart Disease Classification

  • Tsehay Admassu Assegie;Sushma S.J;Bhavya B.G;Padmashree S
    • International Journal of Computer Science & Network Security
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    • v.24 no.2
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    • pp.150-154
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    • 2024
  • In recent years, there are extensive researches on the applications of machine learning to the automation and decision support for medical experts during disease detection. However, the performance of machine learning still needs improvement so that machine learning model produces result that is more accurate and reliable for disease detection. Selecting the hyper-parameter that could produce the possible maximum classification accuracy on medical dataset is the most challenging task in developing decision support systems with machine learning algorithms for medical dataset classification. Moreover, selecting the features that best characterizes a disease is another challenge in developing machine-learning model with better classification accuracy. In this study, we have proposed an optimized decision tree model for heart disease classification by using heart disease dataset collected from kaggle data repository. The proposed model is evaluated and experimental test reveals that the performance of decision tree improves when an optimal number of features are used for training. Overall, the accuracy of the proposed decision tree model is 98.2% for heart disease classification.

Development of Alarm Processing Algorithm for SAS (변전소 자동화를 위한 Alarm Processing 방법 개발)

  • Jin, B.G.;Hyun, S.H.;Lee, S.J.
    • Proceedings of the KIEE Conference
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    • 2006.07a
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    • pp.161-162
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    • 2006
  • There are many alarms in Substation Automation System because of data types and quantities increasing, so it is very difficult for operators to know the actual situations. In order to help operators easily make decision, some unnecessary alarms should be removed or combined as one. In this paper, alarm processing is using the structure of substation system and the relation of measured data and events to make some rules. Conventional alarm processing just gives data, but proposed alarm processing gives the whole information. In a simulation model system, the data such as voltage, current and CB status are collected by HyperSim and saved in DB, then proposed alarm processing has been testified using those data based on real-time simulation.

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An Improved Flux Observer for Sensorless Permanent Magnet Synchronous Motor Drives with Parameter Identification

  • Lin, Hai;Hwang, Kyu-Yun;Kwon, Byung-Il
    • Journal of Electrical Engineering and Technology
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    • v.8 no.3
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    • pp.516-523
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    • 2013
  • This paper investigates an improved stator flux linkage observer for sensorless permanent magnet synchronous motor (PMSM) drives using a voltage-based flux linkage model and an adaptive sliding mode variable structure. We propose a new observer design that employs an improved sliding mode reaching law to achieve better estimation accuracy. The design includes two models and two adaptive estimating laws, and we illustrate that the design is stable using the Popov hyper-stability theory. Simulation and experimental results demonstrate that the proposed estimator accurately calculates the speed, the stator flux linkage, and the resistance while overcoming the shortcomings of traditional estimators.

The Trends of Next Generation Cyber Security (차세대 사이버 보안 동향)

  • Lee, Daesung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.11
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    • pp.1478-1481
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    • 2019
  • As core technologies(IoT, 5G, Cloud, Bigdata, AI etc) leading the Fourth Industrial Revolution promote smart convergence across the national socio-economic infrastructure, the threat of new forms of cyber attacks is increasing and the possibility of massive damage is also increasing. Reflecting this trend, cyber security is expanding from simple information protection to CPS(Cyber Physical System) protection that combines safety and security that implements hyper-connectivity and ultra-reliability. This study introduces the recent evolution of cyber attacks and looks at the next generation cyber security technologies based on the conceptual changes of cyber security technologies such as SOAR(Security Orchestration, Automation and Response) and Zero Trust.