• Title/Summary/Keyword: Business Process Automation

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A Study on Applying Workflow for Business Process Automation in SaaS Platform (SaaS 플랫폼에서 비즈니스 프로세스 자동화를 위한 워크플로우 적용 방안)

  • Choi, Jeong-Rhan;Oh, Byung-Taek;Won, Hee-Sun;Hur, Sung-Jin
    • Proceedings of the Korea Information Processing Society Conference
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    • 2011.11a
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    • pp.549-552
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    • 2011
  • 자동화된 비즈니스 프로세스 기능을 적용하기 위해 워크플로우 기능을 추가하는 것은 멀티테넌시를 지원하는 SaaS 어플리케이션개발 과정에서 필수적인 작업 중 하나이다. 본 논문에서는 이를 위해 SaaS 플랫폼에 워크플로우 기능을 추가하여 자동화된 비즈니스 프로세스를 지원하기 위한 기능을 제안하였다. SaaS 플랫폼에 워크플로우 관리 기능을 추가하여 역할관리, 비즈니스 프로세스 관리, 프로세스 인스턴스관리, ACL 관리 등을 하였다. 또한 테넌트 관리자가 개발된 SaaS 어플리케이션을 자사에 특화된 형태로 커스터마이징하기 위해 워크플로우의 재설정 기능을 제공하였다.

Assignment and Analysis of New Postcode using Geographic Data (지리정보 데이터를 활용한 새우편번호 부여 및 분석에 관한 연구)

  • Lee, Jeong-Hun;Eom, Bo-Yun;Kim, In-Soo;Lee, Seong-Joon
    • Journal of Korean Institute of Industrial Engineers
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    • v.38 no.3
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    • pp.227-236
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    • 2012
  • New 5-digit zone code (new postcode) will replace the current 6-digit postcode which has been used for postal automation in 2014. New postcode will be used for processing various works to distinguish location and area in the entire country. For example, it new postcode will be used to denote different administration areas, firefighting and police jurisdiction, weather forecast areas, emergency medical facility areas, social welfare institution areas, election districts, school districts, statistical areas, courier and delivery business areas, and etc. Therefore, the relevant authorities must be cosider for the feasibility and applicability of assigning the new postcode. In postal service, postal process will be affected a lot by new postcode because a postcode has been related with delivery area of a postman. Therefore, we propose assignment scheme for new postcode which will impact less to postal process. Then, we present how we used geographic data for efficient assignment and analysis of the results.

Automation Monitoring With Sensors For Detecting Covid Using Backpropagation Algorithm

  • Kshirsagar, Pravin R.;Manoharan, Hariprasath;Tirth, Vineet;Naved, Mohd;Siddiqui, Ahmad Tasnim;Sharma, Arvind K.
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.7
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    • pp.2414-2433
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    • 2021
  • This article focuses on providing remedial solutions for COVID disease through the data collection process. Recently, In India, sudden human losses are happening due to the spread of infectious viruses. All people are not able to differentiate the number of affected people and their locations. Therefore, the proposed method integrates robotic technology for monitoring the health condition of different people. If any individual is affected by infectious disease, then data will be collected and within a short span of time, it will be reported to the control center. Once, the information is collected, then all individuals can access the same using an application platform. The application platform will be developed based on certain parametric values, where the location of each individual will be retained. For precise application development, the parametric values related to the identification process such as sub-interval points and intensity of detection should be established. Therefore, to check the effectiveness of the proposed robotic technology, an online monitoring system is employed where the output is realized using MATLAB. From simulated values, it is observed that the proposed method outperforms the existing method in terms of data quality with an observed percentage of 82.

Semi-automatic Data Fusion Method for Spatial Datasets (공간 정보를 가지는 데이터셋의 준자동 융합 기법)

  • Yoon, Jong-chan;Kim, Han-joon
    • The Journal of Society for e-Business Studies
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    • v.26 no.4
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    • pp.1-13
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    • 2021
  • With the development of big data-related technologies, it has become possible to process vast amounts of data that could not be processed before. Accordingly, the establishment of an automated data selection and fusion process for the realization of big data-based services has become a necessity, not an option. In this paper, we propose an automation technique to create meaningful new information by fusing datasets containing spatial information. Firstly, the given datasets are embedded by using the Node2Vec model and the keywords of each dataset. Then, the semantic similarities among all of datasets are obtained by calculating the cosine similarity for the embedding vector of each pair of datasets. In addition, a person intervenes to select some candidate datasets with one or more spatial identifiers from among dataset pairs with a relatively higher similarity, and fuses the dataset pairs to visualize them. Through such semi-automatic data fusion processes, we show that significant fused information that cannot be obtained with a single dataset can be generated.

Automatic Generation of DB Images for Testing Enterprise Systems (전사적 응용시스템 테스트를 위한 DB이미지 생성에 관한 연구)

  • Kwon, Oh-Seung;Hong, Sa-Neung
    • Journal of Intelligence and Information Systems
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    • v.17 no.4
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    • pp.37-58
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    • 2011
  • In general, testing DB applications is much more difficult than testing other types of software. The fact that the DB states as much as the input data influence and determine the procedures and results of program testing is one of the decisive reasons for the difficulties. In order to create and maintain proper DB states for testing, it not only takes a lot of time and efforts, but also requires extensive IT expertise and business knowledge. Despite the difficulties, there are not enough research and tools for the needed help. This article reports the result of research on automatic creation and maintenance of DB states for testing DB applications. As its core, this investigation develops an automation tool which collects relevant information from a variety of sources such as log, schema, tables and messages, combines collected information intelligently, and creates pre- and post-Images of database tables proper for application tests. The proposed procedures and tool are expected to be greatly helpful for overcoming inefficiencies and difficulties in not just unit and integration tests but including regression tests. Practically, the tool and procedures proposed in this research allows developers to improve their productivity by reducing time and effort required for creating and maintaining appropriate DB sates, and enhances the quality of DB applications since they are conducive to a wider variety of test cases and support regression tests. Academically, this research deepens our understanding and introduces new approach to testing enterprise systems by analyzing patterns of SQL usages and defining a grammar to express and process the patterns.

Design and Implementation of Modbus Communications for Smart Factory PLC Data Collection (스마트팩토리 PLC 데이터 수집을 위한 Modbus 통신 설계 및 구현)

  • Han, Jin-Seok;Yoo, Jae-Soo
    • The Journal of the Korea Contents Association
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    • v.21 no.4
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    • pp.77-87
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    • 2021
  • Smart Factory refers to a factory that can be controlled by itself with an intelligent factory that improves productivity, quality and customer satisfaction by combining the entire process of manufacturing and production with digital automation solutions. The manufacturing industry around the world is rapidly changing, with Germany, Europe, and the United States at the center. In order to cope with such changes, the Korean government is also implementing a policy to spread the supply of smart factories for small and medium-sized companies, and related ministries and agencies such as the Ministry of Commerce, Industry and Energy, the Ministry of SMEs and Venture Business, the Korea Institute of Technology and Information Promotion, and local technoparks, as well as large companies such as Samsung, SK and LG are actively investing in smart manufacturing projects to support smart factories[1]. Factory Automation (FA) construction has many issues regarding the connection of heterogeneous equipment. The most difficult aspect of configuring various communications from various equipment is the reason. Although it may not be known if there are standards or products made up of the same company, it is not easy to build equipment that is old, up-to-date, and different use environments through a series of communications. To solve this problem, we would like to propose a method of communication using Modbus, one of FieldBus, which is one of the many industrial devices of PLC, a representative facility control system, and is used as a communication standard.

Tax Refund Service and e-Coupon Promotion: Designing a Tourism Marketing Platform (세금 환급 서비스와 전자 쿠폰 프로모션: 관광 마케팅 플랫폼의 설계)

  • Kim, Taekyung
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.14 no.6
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    • pp.91-101
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    • 2019
  • Tourism or travel business consists of a set of services for people who visit exotic places. Payment is usually marking the end of the series of activities relating to tourism, and it becomes the linkage for the next activity. With the recent advancement of mobile Fintech technologies, we have learned that more convenient and more secure financial transactions are improving the quality of tourism. It should be noted that tourism counts on information technology heavily in terms of mobile Internet and smart devices use, which yields to a wide business opportunities for Fintech startups. However, payment information has not been highlighted for additional marketing promotion activities. The lack of research into information technology-based business models that extend Fintech services related to payment in venture start-up studies hinders the understanding of the possibility of creating new business through the value creation process after payment. This study attempts to investigate this issue based on the theory of smart tourism and service-dominant logic with developing a new information system. More specifically, marketing promotion activities after payment for Chinese tourists visiting Korea are examined. Specifically, WeChat Pay and instant tax refund service were considered while the system was developed by following desing science research methodology. This study is meaningful in that it finds a new possibility of Fintech business model by applying scientific and academic methods, and it reminds the necessity of service automation system centered on instant tax refund.

A Study on the New Trends of EDI based Internet (인터넷을 기반으로 하는 EDI 신조류)

  • 조원길
    • The Journal of Information Technology
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    • v.4 no.1
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    • pp.125-139
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    • 2001
  • EDI(Electronic Data Interchange) works by providing a collection of standard message formats and element dictionary in a simple way for businesses to exchange data via any electronic messaging service. Open-edi is electronic data interchange among autonomous parties using public standards and aiming towards interoperability over time, business sectors, information technology and data types. The number of Internet services using XML/EDI has grown rapidly since it is easily expansible and exchangeable. To use this service, the client does not have to install EDI S/W but only needs internet browser. Consequently, it became much easier and faster to handle the trading process in an office. eBusiness SML (extensible markup language) electronic data interchange. eXedi is the service that realizes B2B of XML/EDI. eXedi can be used easily in small and medium sized companies. Companies in any place can access to eXedi using the existing Internet connection. XML/EDI provides a standard framework to exchange different types of data -- for example, an invoice, healthcare claim, project status -- so that the information be it in a transaction, exchanged via an Application Program Interface (API), web automation, database portal, catalog, a workflow document or message can be searched, decoded, manipulated, and displayed consistently and correctly by first implementing EDI dictionaries and extending our vocabulary via on-line repositories to include our business language, rules and objects.

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Implementation of Property Input Automation Program for Building Information Modeling (BIM) Property Set (BIM 속성분류체계 구축을 위한 속성입력 자동화 프로그램 구현)

  • Nam, Jeong-Yong;Joo, Jae-Ha;Kim, Tae-Hyung
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.33 no.2
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    • pp.73-79
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    • 2020
  • Building Information Modeling (BIM) tools have not only increased the use of technology in the design process, but also increased the need for more information standard systems. The object classification system consists of 327 types of construction results obtained from 25 kinds of facilities, 174 types of parts, and 207 types of construction parts. In the previous study, the property classification system was developed into 4 major classifications, 13 middle classifications, 58 small classifications (category), and 333 attribution information of roads and rivers. It is extremely difficult to input the property information according to such extensive object classification. In addition, the development of external applications such as Revit plug-ins has created a need to automate specific and repetitive tasks. Therefore, following the BIM property classification system, an attribute input program was implemented for the system to enhance the productivity and convenience of the BIM users.

An Automatic Setting Method of Data Constraints for Cleansing Data Errors between Business Services (비즈니스 서비스간의 오류 정제를 위한 데이터 제약조건 자동 설정 기법)

  • Lee, Jung-Won
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.3
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    • pp.161-171
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    • 2009
  • In this paper, we propose an automatic method for setting data constraints of a data cleansing service, which is for managing the quality of data exchanged between composite services based on SOA(Service-Oriented Architecture) and enables to minimize human intervention during the process. Because it is impossible to deal with all kinds of real-world data, we focus on business data (i.e. costumer order, order processing) which are frequently used in services such as CRM(Customer Relationship Management) and ERP(Enterprise Resource Planning). We first generate an extended-element vector by extending semantics of data exchanged between composite services and then build a rule-based system for setting data constraints automatically using the decision tree learning algorithm. We applied this rule-based system into the data cleansing service and showed the automation rate over 41% by learning data from multiple registered services in the field of business.