• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.1
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• pp.185-194
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• 2023

The 4-axis strain-gauge, which is widely applied to military weapon systems, is operated in poor temperature and vibration conditions, tolerance may increase and malfunctions may occur. To improve this, this paper proposes a signal-processing software technique for the tolerance of the 4-axis strain gauge applied to a military weapon system. First, the tolerance of the strain-gauge and the signal processing circuit according to the ambient temperature were evaluated and analyzed. Second, a software technique for processing the dead zone and offset area that can improve the tolerance of the strain-gauge is proposed. The experimental results applying the software technique confirmed that it operated normally in the temperature test and operation test. Therefore, the proposed software technique is valid and can be used as useful information to improve tolerance due to ambient temperature and vibration when designing a system using a strain-gauge.

• KIPS Transactions on Software and Data Engineering
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• v.4 no.1
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• pp.31-36
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• 2015

There are many uncertainty items when we're working on a software. Especially, if we don't have experience in similar field, ambiguity items have a strong influence on the system entirely. Management of ambiguity items such like uncertainty things is important the factor for reliability of software. Therefore, this research is processing the evaluation criteria for remove of uncertainty items by identify of ambiguity items. Also, this research provides criteria of uncertainty identify and processing of uncertainty items, quantitative evaluation criteria to the remove of ambiguity on software development.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.04a
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• pp.725-727
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• 2017

In this study, a function that informs the trash can users about daily collectable trash types and the visiting schedule of collection trucks with an application-based push alarms is proposed along with other function that lets the user to receive the information regarding the volume of trash cans located near his/her residence and monthly average trash volume once the user registers his/her personal information online. This functions are used for the UX design between smart trash can and users. The proposed system allows trash collection trucks to find the most efficient path from their current positions by finding out users' trash can volumes in advance. The UX design and the smart trash can system proposed in this study aim to improve the trash processing efficiency by allowing users to check the volume of their trash.

• Journal of Powder Materials
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• v.24 no.4
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• pp.285-291
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• 2017

We propose a custom analysis technique for the dark field (DF) image based on transmission electron microscopy (TEM). The custom analysis technique is developed based on the $DigitalMicrograph^{(R)}$ (DM) script language embedded in the Gatan digital microscopy software, which is used as the operational software for most TEM instruments. The developed software automatically scans an electron beam across a TEM sample and records a series of electron diffraction patterns. The recorded electron diffraction patterns provide DF and ADF images based on digital image processing. An experimental electron diffraction pattern is recorded from a IrMn polycrystal consisting of fine nanograins in order to test the proposed software. We demonstrate that the developed image processing technique well resolves nanograins of ~ 5 nm in diameter.

• Proceedings of the Korea Information Processing Society Conference
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• 2018.10a
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• pp.645-647
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• 2018

최근 IoT의 기술의 발달로 사용자 인식에 관한 연구가 주목을 받고 있다. 사용자 인식은 각 사용자만의 특징에 근거하여 특정 사용자를 인식하는 기술이다. 사용자 인식과 관련하여 홍채나 지문인식 등과 같은 생체 인식, 얼굴 인식 그리고 걸음걸이 인식 등에 관한 연구들이 진행되고 있다. 다양한 방식은 각각의 인식률을 높이기 위해 노력하고 있지만, 인식하고자 하는 사용자의 상황에 따라 인식률에 영향을 받게 된다. 본 연구에서는 다양한 방식을 여러 단계로 구성하여 다양한 상황에 놓인 사용자를 인식하기 위한 방법을 연구한다. 제안 시스템은 드론에서 촬영된 영상을 수신하는 것을 기반으로 하여 얼굴인식과 걸음걸이 인식을 이용한 방식이다. 1차적으로 사람의 얼굴을 탐지를 하고, 사람의 얼굴이 탐지되었을 때는 얼굴 인식을 수행한다. 탐지하지 못했을 경우 걸음걸이 인식을 수행하여 인식률을 향상시킨다.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.05a
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• pp.573-575
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• 2019

현존하는 음악 추천형 챗봇들은 사용자의 의도가 아닌 챗봇 임의의 분류기준을 가지고 음악을 추천해왔다. 하지만 이러한 음악 추천은 공급자의 의도에 제한되어있는 단면적인 추천이 될 가능성이 높다. 이를 개선하고자 본 논문에서는 자연어를 처리하는 기법(NLP)의 처리를 통해 추출한 단어를 자연어 이해 기법(NLU)으로 특정 감성어 데이터를 마이닝하는 방법을 채용한다. 이를 통해 추출된 감성어를 원하는 쿼리에 따라 매핑된 음악데이터만을 추출한다. 이를 통해 닫힌 대화 구조에서의 사용자 의도 해석의 한계를 극복한다.

• Proceedings of the Korea Institute of Convergence Signal Processing
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• 2000.08a
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• pp.65-68
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• 2000

In this paper, as a compatible software radio transmission system, Digital-Radio conversion system which can directly change the digital signal generated by the logic circuit into radio signal is proposed. By the vector synthesis method, the digital signals can change directly into radio signal. If such a circuit is realized, RF circuit and an antenna can be composed by the simple one device, and the radio is directly controlled and performed by the software processing which is the essence of software radio. This Digital-Radio conversion system of this paper give many number of communication channels being offered by PN code and offer a hardware design flexibility by digitization, therefore it decrease the percentage ratio of hardware of system and give a more flexible function of software basis. In this paper, this proposed Digital-Radio conversion system is called D/R converter, and the principle of this D/R converter, radio signal generation algorithm is explained and the performance characteristics of proposed algorithm is shown in time base by the computer simulation method.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.04a
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• pp.50-52
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• 2009

Ontology maintenance is a time consuming and costly process which requires special skill and knowledge. It requires joint effort of both ontology engineer and domain specialist to properly maintain ontology and update knowledge in it. This is specially true for medical domain which is highly specialized domain. This paper proposes a novel approach for maintenance and update of existing ontologies in a medical domain. The proposed approach is based on modified Ontology Maturing Process which was originally developed for web domain. The proposed approach provides way to populate medical ontology with new knowledge obtained from medical documents. This is achieved through use of natural language processing techniques and highly specialized medical knowledge bases such as Unified Medical Language System.

• Asian Journal of Atmospheric Environment
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• v.11 no.4
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• pp.330-343
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• 2017

Climate change is an important issue, with many researches examining not only future climatic conditions, but also the interaction of climate and air quality. In this study, a new version of the emissions processing software tool - Python-based PRocessing Operator for Climate and Emission Scenarios (PROCES) - was developed to support climate and atmospheric chemistry modeling studies. PROCES was designed to cover global and regional scale modeling domains, which correspond to GEOS-Chem and CMAQ/CAMx models, respectively. This tool comprises of one main system and two units of external software. One of the external software units for this processing system was developed using the GIS commercial program, which was used to create spatial allocation profiles as an auxiliary database. The SMOKE-Asia emissions modeling system was linked to the main system as an external software, to create model-ready emissions for regional scale air quality modeling. The main system was coded in Python version 2.7, which includes several functions allowing general emissions processing steps, such as emissions interpolation, spatial allocation and chemical speciation, to create model-ready emissions and auxiliary inputs of SMOKE-Asia, as well as user-friendly functions related to emissions analysis, such as verification and visualization. Due to its flexible software architecture, PROCES can be applied to any pregridded emission data, as well as regional inventories. The application results of our new tool for global and regional (East Asia) scale modeling domain under RCP scenario for the years 1995-2006, 2015-2025, and 2040-2055 was quantitatively in good agreement with the reference data of RCPs.

• Communications for Statistical Applications and Methods
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• v.19 no.4
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• pp.571-577
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• 2012

Modules that consist of software are respectively coded in the early development phase and the modules are unified as a software. After unification, the software is repeatedly tested with a given taskset (the set of module tasks that are tested simultaneously) until a required performance level is satisfied. In this paper, we expand the one-module software debugging model of Jang and Lee (2011) to a multi-module debugging model and derive the taskset completion probability and the mean of the completed tasksets under the assumption that the processing times of module tasks given in a taskset are mutually dependent.