• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.206-208
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• 2022

As the big data industry has recently developed significantly, interest in privacy violations caused by personal information leakage has increased. There have been attempts to automate this through named entity recognition in natural language processing. In this paper, named entity recognition data is constructed semi-automatically by identifying sentences with de-identification information from de-identification information in Korean Wikipedia. This can reduce the cost of learning about information that is not subject to de-identification compared to using general named entity recognition data. In addition, it has the advantage of minimizing additional systems based on rules and statistics to classify de-identification information in the output. The named entity recognition data proposed in this paper is classified into twelve categories. There are included de-identification information, such as medical records and family relationships. In the experiment using the generated dataset, KoELECTRA showed performance of 0.87796 and RoBERTa of 0.88.

• Journal of IKEEE
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• v.6 no.1 s.10
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• pp.47-53
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• 2002

This paper manufacturing one system and use this separatively, plan, and embody system that apply integration design method in research about characteristic of internal core of 8051 micro-processors and system reusability so that can use as module of other system. The proposed system itself by object style so that reusability may be possible in proposed method and object style for connection between this systems is required. Set on these request and when systems have own information and were linked with other systems, by supplying own information automatic movement itself is realized and system itself embodies ashes so that can be applied to other system. The proposed method in this paper analyzes and compares with existent Z-80 education board, as well as system that propose offers extensibility, it handles most function to software and development period, expense and baud dimension confirmed advantage of and so on that reduce. Also, design for object style system architecture and showed feature that extensibility and portability are augmented.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.43 no.4 s.310
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• pp.46-54
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• 2006

Recently, the important of a personal identification is increasing according to expansion using each on-line commercial transaction and personal ID-card. Although a personal ID-card embedded RFID(Radio Frequency Identification) tag is gradually increased, the way for a person's identification is deficiency. So we need automatic methods. Because RFID tag is vary small storage capacity of memory, it needs effective feature extraction method to store personal biometrics information. We need new recognition method to compare each feature. In this paper, we studied the face verification system using Hippocampal neuron modeling algorithm which can remodel the hippocampal neuron as a principle of a man's brain in engineering, then it can learn the feature vector of the face images very fast. and construct the optimized feature each image. The system is composed of two parts mainly. One is feature extraction using NMF(Non-negative Matrix Factorization) and LDA(Linear Discriminants Analysis) mixture algorithm and the other is hippocampal neuron modeling and recognition simulation experiments confirm the each recognition rate, that are face changes, pose changes and low-level quality image. The results of experiments, we can compare a feature extraction and learning method proposed in this paper of any other methods, and we can confirm that the proposed method is superior to the existing method.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.2
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• pp.1403-1413
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• 2015

An information System Audit by the recognition of a problem and suggestions for solutions for overall matters about constructing and managing information systems is needed in order to contribute to the improvement of an information system's quality and improving the performance of projects. In reality, however, the general cognition is that audit is biased by subjective opinions. For this, an auditor needs to measure the level of recognition of the usability and convenience of the technologies of automating audit by applying TAM in the information system audit, and to analyze the relationship with recognition and availability of the interested parties for the technology (tool) of the audit. By the hypothesis verification result, an auditor needs to present objective corroborative facts that back up the level of recognition and usability for the information technology in the field of audit. This study verified that the phenomenon of technology application can be explained and predicted by applying TAM in the field of audit. Through an empirical study of the recognition level of audit and contractor, the developer suggests that the audit plan stage is similar to the audit corrective action stage, but the audit action stage is different from the audit review stage. This research can verify the audit technology preferred for the availability and intention of use and usability.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.44 no.1
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• pp.75-83
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• 2024

This study examined the causes and remedies of bid-rigging in the construction industry through a survey of procurement practitioners. The study identified potential problems from the business, construction, and bidding environments, and proposed improvements to the procurement and bidding systems to address these problems. The study found that transparency, fairness, and diversity are important factors in reducing bid-rigging. These factors can be achieved through a variety of measures, such as expanding bidding systems, strengthening fairness standards, and increasing the diversity of participating companies. The study also found that unfair subcontracting regulations are a problem that needs to be addressed. There were differences in the perceptions of the causes of bid-rigging between the general and specialized construction groups. However, there was no difference in the perceptions of improvements to the procurement system between the two groups. This suggests that a consistent solution to bid-rigging can be found. The study's findings are expected to contribute to the resolution and prevention of bid-rigging in the construction industry.

• Journal of Advanced Marine Engineering and Technology
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• v.37 no.2
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• pp.220-226
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• 2013

Recently, with the rapid development of factory automation and logistics system, a few workers were able to manage the broad workplace such as large vessels and warehouse. To estimate the exact location of these workers in the conventional wireless indoor localization systems, three or more fixed nodes are generally used to recognize the location of a mobile node consisting of a single node. However, these methods are inefficient in terms of node deployment because the broad workplace requires a lot of fixed nodes compared to workers(mobile nodes). Therefore, to efficiently deploy fixed nodes in these environments that need a few workers, this paper presents a novel estimation algorithm which can reduce the number of fixed nodes by efficiently recognizing the relative coordinates of two fixed nodes through a mobile node composed of three nodes. Also, to minimize the distance errors between mobile node and fixed node, rounding estimation(RE) technique is proposed. Experimental results show that the error rate of localization is improved, by using proposed RE technique, 90.9% compared to conventional trilateration in the free space. In addition, despite the number of fixed nodes can be reduced by up to 50% in the indoor free space, the proposed estimation algorithm recognizes precise location which has average error of 0.15m.

• Journal of the Korea Institute of Building Construction
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• v.13 no.2
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• pp.181-192
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• 2013

Given both structural safety and economic benefits of aging facilities, remodelling of the existing facilities is preferable to reconstruction. This recognition provides an opportunity to reduce the commitment of resources and national budget. However, when a subordinate troop asks for remodeling or reconstruction of a deteriorated facility, it is difficult to ensure the consistency and objectivity in the process of decision making for the alternatives due to the absence of systematic and quantitative rating methodology. Their economic evaluation methodology only exists in a manual format. Thus, further research is required for converting the methodology into an automated system in view of practicality such as rapid and accurate data processing. The contributions of this study are as follows: 1) Literature review found out a representative economic evaluation model focused on military facilities, and comparative analysis with a similar study identified the strength and weakness. 2) this study presented how to convert the theoretical framework which enables to solve a specific subject matter into an automated system. 3) it developed a user friendly interfaces which consist of four functional modules by considering the usability and accessibility of the system user. 4) the developed system was verified by a case study in terms of four kinds of performance indicators.

• Journal of the Korean Institute of Intelligent Systems
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• v.18 no.3
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• pp.341-346
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• 2008

This paper is to develop a monitoring system with diagnosis for smart cargo sensors that is for management and maintenance of the liquid cargo ships. The main goal of the system is to achieve the total automation system of the cargo sensor. By this study, the active smart sensor for the liquid cargo ships is designed and developed that guarantees high-confidence, stability, and durability. The proposed system consists of a monitoring part of the steam pressure, high-level monitoring, over flowing monitoring, gas monitoring, and tank temperature monitoring. The signals transferred from each unit system are used for sensor diagnosis based on confidence and accuracy. Finally, in this study, the total supervisory monitoring system is developed to maintain and manage the cargo effectively based on fault diagnosis and prognosis of the each sensor system.

• Journal of the Society of Naval Architects of Korea
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• v.38 no.2
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• pp.71-78
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• 2001

In ship building industry, CNC and CAM are mostly applied to NC cutting and manufacturing of propeller and prototype ship model. Herein, prototype ship model is producted by CAD/CAM process. Hull form data is obtained from the ship drawing and used for 3D modeling by CAD software Pro/Engineer. CAD data is transferred into CAM s/w SPEEDplus to perform CNC process and the prototype small ship model is manufactured by CNC machine. To solve data transfer among different systems. IGES and STEP neutral formats are currently used. Herein IGES format is adopted for data transfer between CAD/CAM softwares.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.2
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• pp.276-281
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• 2014

In this research, we describe a force feedback control for industrial robots has been proposed as a system which is suitable to work utilizing pressure sensitive alternative to human. Conventionally, polished surface of the workpiece are recognized, chamfer ridge, machining processes such as deburring, and it is most difficult to automate because of its complexity, has been largely dependent on the human. To aim to build automatic vacuum system robotic force control was gripping the grinding tool, the present study we examined the adaptability to the polishing process to understand the characteristics of the control system feedback signal obtained from the force sensor mainly. Furthermore, as a field, which holds the key to the commercialization, I went ahead with the application to robotic sweeping machine. As a result, the final sweeping utilizing a robot machine to obtain a very good grinded surface was revealed.