• The Journal of the Convergence on Culture Technology
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• v.9 no.2
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• pp.475-481
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• 2023

Softwares, especially like machine learning applications, affect human's life style tremendously. Accordingly, the importance of the cost model for softwares increases rapidly. As cost models, LOC(Line of Code) and M/M(Man-Month) estimates the quantitative aspects of the software. Differently from them, FP(Function Point) focuses on estimating the functional characteristics of software. FP is efficient in the aspect that it estimates qualitative characteristics. FP, however, has a limit for evaluating machine learning softwares because FP does not evaluate the critical factors of machine learning software. In this paper, we propose an extended function point(ExFP) that extends FP to adopt hyper parameter and the complexity of its optimization as the characteristics of the machine learning applications. In the evaluation reflecting the characteristics of machine learning applications. we reveals the effectiveness of the proposed ExFP.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.6 no.1
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• pp.162-177
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• 2012

In this paper we present a novel method of applying image scrambling technology which belongs to the information hiding field in the error control coding to introduce confidentiality in wireless machine to machine communication. The interleaver in serial concatenated convolutional codes, which is the key module in overcoming burst errors, is deliberately designed with the scrambling function to provide a low error rate for those authorized transceivers. By contrast, the unauthorized transceivers without keys would get so high an error rate that decoding bits could bring little value, thus realizing both the confidentiality and reliability in wireless machine to machine communication.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.823-830
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• 2022

The risk of project execution increases due to the enlargement and complexity of Engineering, Procurement, and Construction (EPC) plant projects. In the fourth industrial revolution era, there is an increasing need to utilize a large amount of data generated during project execution. The design is a key element for the success of the EPC plant project. Although the design cost is about 5% of the total EPC project cost, it is a critical process that affects the entire subsequent process, such as construction, installation, and operation & maintenance (O&M). This study aims to develop a system using machine-learning (ML) techniques to predict risks and support decision-making based on big data generated in an EPC project's design and construction stages. As a result, three main modules were developed: (M1) the design cost estimation module, (M2) the design error check module, and (M3) the change order forecasting module. M1 estimated design cost based on project data such as contract amount, construction period, total design cost, and man-hour (M/H). M2 and M3 are applications for predicting the severity of schedule delay and cost over-run due to design errors and change orders through unstructured text data extracted from engineering documents. A validation test was performed through a case study to verify the model applied to each module. It is expected to improve the risk response capability of EPC contractors in the design and construction stage through this study.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.6 no.1
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• pp.84-97
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• 2012

M2M (Machine-to-Machine) Technology makes it possible to network all kinds of terminal devices and their corresponding enterprise applications. Therefore, several M2M platforms were developed in China in order to collect information from terminal devices dispersed all over the local places through 3G wireless network. However, when enterprise applications try to integrate with M2M platforms, they should be maintained and refactored to adapt the heterogeneous features and properties of M2M platforms. Moreover, syntactical and semantic unification for information sharing among applications and devices are still unsolved because of raw data transmission and the usage of distinguished business vocabularies. In this paper, we propose and develop an M2M Middleware to support agile application integration with M2M platform. This middleware imports the event engine and XML-based syntax to handle the syntactical unification, makes use of Ontology-based semantic mapping to solve the semantic unification and adopts WebService and ETL techniques to sustain multi-pattern interactive approach, in order to agilely make applications integrated with the M2M platform. Now, the M2M Middleware has been applied in the China Telecom M2M platform. The operation results show that applications will cost less time and workload when being integrated with M2M platform.

• Transactions of Materials Processing
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• v.17 no.4
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• pp.257-262
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• 2008

The control of wire temperature is very important in the fine wire drawing process. The wire speed should be increased, and the wire temperature should be dropped as much as possible. Up to now, the process design of wire drawing process depends on the experiences of experts. In this study, a wire drawing process design method was proposed to increase the productivity. The proposed method of this study includes the pass schedule and the design of a multi pass wire drawing machine. A pass schedule was performed based on the calculation of the wire temperature. Also, a new multi pass wire drawing machine was manufactured to apply the designed pass schedule. Through the wire drawing experiment, the effectiveness of the proposed process design method was evaluated. The final drawing speed was increased from 1,100m/min to 2,000m/min without deterioration of final drawn wire.

• Proceedings of the Korean Society of Computer Information Conference
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• 2014.07a
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• pp.109-110
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• 2014

본 연구에서는 공공 시설물 관리를 위한 센서 융합 기술을 활용한 M2M 기반의 외부 디바이스 및 내장 미들웨어 시스템을 개발하였다. 시설안전체계의 개선 및 M2M 기반기술을 접목한 기술개발을 통해 시설물 안전수준은 급격히 향상되고. 있다 무인 시설물 관리를 위하여 지속적인 촬영 및 저장방식이 아닌 센서와 영상 데이터를 융합하여 상황인지 방식의 외부 디바이스 및 내장 미들웨어 시스템을 개발하고 정보에 대한 신뢰성을 향상시켜 센서 융합형 외부 디바이스를 활용하여 이벤트 발생시에만 정보 전달을 통해 데이터 전송이 감소되는 효율적인 감시시스템을 개발하였다.

• Journal of Information Technology Services
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• v.11 no.1
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• pp.125-139
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• 2012

Machine-to-Machine(M2M) refers to technologies allowing both wireless and wired systems to communicate with other devices. The enhancement of wireless technologies and the reduced cost of wireless connection have contributed toward the development of M2M market. M2M market currently focuses on public sector services, As M2M can offer scalable and flexible services, M2M services are expected to be applied in various fields. However there are still some doubts on whether the demand for M2M services will be increased. This study investigates the feasibility of M2M services from the perspective of operators. Operators evaluate that M2M services will show high marketability but low profitability in general. In addition, operators predict that M2M services will show both marketability and profitability in the area of car maintenance, insurance, telematics, home and office security, shop floor maintenance, and real-time locating services for children protection. This study may offer some ideas of M2M business models based on empirical feasibility studies.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.481-484
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• 2013

Many people today are interested in Machine to Machine (M2M) as the new-generation growth engine of mobile communications service providers in Korea. Its use and application are broadening to various areas and the number of devices used for it is increasing to increase the number of information transmitted for each object. When the traffic reaches its limit while each set of data is transmitted from the devices divided into each group through the mobile network, M2M communications service might not be processed smoothly. This study used the Knapsack Problem algorithm to create a virtual simulator for a smooth M2M service when the mobile network used for the M2M communications reaches its limit. The virtual simulator applies smooth processing of services from the M2M communications that should be processed first to other subsequent services when data comes to each group of devices. As the M2M technology develops to make many objects more compact in size, it would help with smoother processing of M2M services for the mobile network with fast-increasing traffic.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.04a
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• pp.491-494
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• 2014

정보통신 기술의 발전으로 우리가 사용하는 모든 사물들이 네트워크를 통해서 사람과 상호 연결을 할 수 있는 시대로 접근하는 추세이다. 또한 ICT분야의 융합이 빠르게 발전하고 있으며, 이를 통해서 유비쿼터스 환경으로 도약하고 있다. 스마트 폰 이후에 센서 대중화, 비용 절약, 기기 보급 확산, 네트워크의 확대 등의 이유로 사물 통신 M2M(Machine to Machine)/사물 인터넷 IoT(Internet of Things) 기술이 점차 활용되고 있으며, 관련 분야의 많은 연구가 진행 중에 있다. 본 논문에서는 이러한 IoT/M2M의 기술 및 표준화 동향을 살펴보고 발전 방향을 예상해 보고자 한다.

• Journal of Information Technology Services
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• v.11 no.3
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• pp.241-255
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• 2012

Recently, smart home environments which provide complex services through smart appliances are becoming realized, due to the advances in connected devices and network technologies. Current smart home environments are mostly restricted, because of difficultly of integration of heterogeneous smart appliances. Therefore radical service integration is impracticable. In this paper, we analyze and implement Machine-to-Machine (M2M) standards which are established by European Telecommunications Standards Institute (ETSI) for integrating heterogeneous devices and services. Smart Home is one of the areas covered by ETSI M2M standards, however these standards are just standardized, so adaption and assessment in smart home are not proved yet. Therefore, this paper analyze ETSI M2M standards by focusing the data transport model and evaluate by selecting the most commonly used smart home scenarios and by implementing ETSI M2M standards compatible smart metering system. In some points ETSI M2M standards are not efficient because of its complexity of structure, however ETSI M2M provides sophisticated features for integrating M2M which are appropriate to adopt diverse smart home environments.