• International journal of advanced smart convergence
• /
• v.13 no.1
• /
• pp.99-107
• /
• 2024

In AI image generation tools, most general users must use an effective prompt to craft queries or statements to elicit the desired response (image, result) from the AI model. But we are software engineers who focus on software processes. At the process's early stage, we use informal and formal requirement specifications. At this time, we adapt the natural language approach into requirement engineering and toon engineering. Most Generative AI tools do not produce the same image in the same query. The reason is that the same data asset is not used for the same query. To solve this problem, we intend to use informal requirement engineering and linguistics to create a toon. Therefore, we propose a sequence diagram and image generation mechanism by analyzing and applying key objects and attributes as an informal natural language requirement analysis. Identify morpheme and semantic roles by analyzing natural language through linguistic methods. Based on the analysis results, a sequence diagram and an image are generated through the diagram. We expect consistent image generation using the same image element asset through the proposed mechanism.

• Proceedings of the Korean Environmental Health Society Conference
• /
• 2003.06a
• /
• pp.94-97
• /
• 2003

This study performed the research about the recycling basin supernatant by pre-coat filtration in the D water treatment plant at Gwangju. Choice the prompt conditions with diatomaceous earth filtration which makes contaminant reduced in the basin supernatant. Element disk of candle used in this experiment are pore size 10$\mu\textrm{m}$(R), 20$\mu\textrm{m}$(B) and 40$\mu\textrm{m}$(Y). Diatomaceous earth are cake pore size 3.5$\mu\textrm{m}$(A), 7$\mu\textrm{m}$(B) and 17$\mu\textrm{m}$(C). The filtrate concentrations were from 0.18 to 0.92$\mu\textrm{g}$/1 of Chlorophyll-a. And then, removal rate percentage were from 78.30 to 95.57(R-A). In addition SS 80%, CODMn32% COD 61%, T-N 10% and T-P 39% on the D water treatment plant. The R(40$\mu\textrm{m}$) C(17$\mu\textrm{m}$) process can be substituted of reusing the recycled water of recycling basin supernatant view of capacity and removal rate of filtrate.

• International conference on construction engineering and project management
• /
• 2017.10a
• /
• pp.225-234
• /
• 2017

Mixed-reality technologies have proven to be valuable in many architecture, engineering and construction / facilities management (AEC/FM) applications. However, its potential of being adapted to facilitate hazard identification and risk communication in construction workplaces has yet to be fully explored. This paper makes an attempt to evaluate the feasibility of applying mixed-reality to enhancing safety risk communication in construction workplaces. Experiments have been designed in which Microsoft HoloLens^® together with a developed application will be used to intervene in the practice of jobsite risk communication. A cross-sectional survey will then be followed to examine the effectiveness and acceptability of this technology through analysis on data collected from participants in the construction industry. The preliminary results show that this emerging HoloLens^® technology, compared to the traditional communication methods (i.e., phone calls, walking up people and talk, and video conferencing), facilitates accurate, prompt safety communication on construction sites. Such findings signify the potential of applying mixed-reality to safety performance enhancement in the construction industry.

• Journal of Positioning, Navigation, and Timing
• /
• v.3 no.2
• /
• pp.45-51
• /
• 2014

GNSS has the disadvantage of being vulnerable to jamming, and thus, the necessity of jamming countermeasure techniques has gradually increased. Jamming countermeasure techniques can be divided into an anti-jamming technique and a jammer localization technique. Depending on the type of a jammer, applicable techniques and performance vary significantly. Using an appropriate jamming countermeasure technique, the effect of jamming on a GNSS receiver can be attenuated, and prompt action is enabled when estimating the location of a jammer. However, if an inappropriate jamming countermeasure technique is used, a GNSS receiver may not operate in the worst case. Therefore, jammer identification is a technique that is essential for proper action. In this study, a technique that identifies a jammer based on template matching was proposed. For template matching, analysis of a received jamming signal is required; and the signal analysis was performed using a spectral correlation function. Based on a simulation, it was shown that the proposed identification of jamming signals was possible at various JNR.

• Industrial Engineering and Management Systems
• /
• v.11 no.1
• /
• pp.48-53
• /
• 2012

Due to the customer needs of reducing cost and delivery date shorting, prompt change in the production plan became more important. In the multi period system (For instance, production line.) where target processing time exists, production, idle and delay risks occur repeatedly for multiple periods. In such situations, delay of one process may influence the delivery date of an entire process. In this paper, we discuss the minimum expected cost of the case mentioned above, where the risk depends on the previous situation and occurs repeatedly for multiple periods. This paper considers the optimal switching frequency to minimize the total expected cost of the production process. In this paper, first, the optimal switching frequency model is proposed. Next, the mathematic formulation of the total expectation is presented. Finally, the policy of optimal switching frequency is investigated by numerical experiments.

• Annual Conference on Human and Language Technology
• /
• 2022.10a
• /
• pp.369-373
• /
• 2022

기존의 관계 추출 태스크에서의 많은 연구들은 사전학습 언어모델을 파인튜닝하여 뛰어난 성능을 달성해왔다. 하지만, 파인튜닝은 사전학습 시의 학습 기법과의 간극으로 인해 일반화 능력을 저해한다. 본 연구는 다운스트림 태스크를 사전학습의 Masked Language Modeling (MLM) 기법을 통해 해결하는 프롬프트 기반의 학습 기법을 활용하여, 특정 한국어 도메인에서의 관계 추출을 위한 프롬프트 기반 파인튜닝 방법론을 제안한다. 실험의 경우, 도메인의 특성이 뚜렷한 전통문화유산 말뭉치를 대상으로 실험을 진행하여 본 방법론의 도메인 적응력을 보이며, 메타 정보 즉, 개체 유형 및 관계 유형의 의미론적 정보를 일종의 지식 정보로 활용하여 프롬프트 기반 지식 주입의 효과성을 검증한다. 프롬프트에의 메타 정보의 주입과 함께 프롬프트 기반으로 파인튜닝된 모델은 오직 MLM 기법만을 이용하여 태스크를 수행하여 기존 파인튜닝 방법론 대비 파라미터 수가 적음에도, 성능 면에서 대부분 소폭 상승하는 경향을 보여줌으로써 그 효과성 및 효율성을 보인다.

• Journal of Advanced Marine Engineering and Technology
• /
• v.39 no.3
• /
• pp.312-317
• /
• 2015

Seafarers can confront to evacuate from the ship with many reasons such as collision, grounding and fire accident. It believes that evacuation time from ship is very important element in order to increase survival rate in the contingency circumstance, however narrow and complex structure of ship is one of obstacle element against prompt evacuation. Taking into consideration the unique structure of ship compared to the structure of other facilities, speed of fire propagation on board ship is faster than the same size of other type facilities. Therefore, measures to prompt evacuation are required. But it comes with the behavioral constraints of the crews and passengers of the nature of operating in a complex structure with narrow vessels. Therefore, in this study, we propose a formula to be analyzed by theoretical approach and simulation methods to improve the survival rate for the crew and passenger of the ship through the ship's structural modification. We analyzed the temperature rise and visibility which are the most influential effects on the life safety in the event of fire by using a three-dimensional analysis of sight-only program Fire Dynamic Simulator (FDS) as analytical tools.

• Proceedings of the Korean Geotechical Society Conference
• /
• 2010.03a
• /
• pp.182-187
• /
• 2010

In the various fields of Civil Engineering, shear modulus is very important input parameters to design many constructions and to analyze ground behaviors. In general, a shear wave velocity profile is decided by various experiments before constructing a structure and, analysis and design are carried out by using decided shear wave velocity profile of the site. However, if civil structures are started to construct, the shear wave velocity will be increased more than before constructions because of confining pressure increase by the load of structure. The evaluation of the change in shear wave velocity profile is used very importantly when maintaining, managing, reinforcing and regenerating existing structures. In this study, a non-destructively geotechnical investigation method by using the HWAW method is applied to an evaluation of change in properties of the site according to construction. Generally, the space for experiments is narrow when underground of existing or on-going structures is evaluate, so a prompt non-destructive experiment is required. This prompt non-destructive experiment would be performed by various in-situ seismic methods. However, most of in-situ seismic methods need more space for experiments, so it is difficult to be applied. The HWAW method using the Harmonic wavelet transforms, which is based on time-frequency analysis, determines shear wave velocity profile. It consists of a source as well as short receiver spacing that is 1~3m, and is able to determine a shear wave velocity profile from surface to deep depth by one test on a space. As the HWAW method uses only the signal portion of the maximum local signal/noise ratio to determine a profile, it provides reliability shear modulus profile such as under construction or noisy situation by minimizing effects of noise from diverse vibration on a construction site or urban area. To estimate the applicability of the proposed method, field tests were performed in the change of geotechnical properties according to constructing a minimized modeling bent. Through this study, the change of geotechnical properties of the site was effectively evaluated according to construction of a structure.

• Journal of Radiation Protection and Research
• /
• v.39 no.2
• /
• pp.81-88
• /
• 2014

Recently, a new imaging method, gamma vertex imaging (GVI), was proposed for the verification of in-vivo proton dose distribution. In GVI, the vertices of prompt gammas generated by proton induced nuclear interaction were determined by tracking the Compton-recoiled electrons. The GVI system is composed of a beryllium electron converter for converting gamma to electron, two double-sided silicon strip detectors (DSSDs) for the electron tracking, and a scintillation detector for the energy determination of the electron. In the present study, the modules of a charge sensitive preamplifier (CSP) and a shaping amplifier for the analog signal processing of DSSD were developed and the performances were evaluated by comparing the energy resolutions with those of the commercial products. Based on the results, it was confirmed that the energy resolution of the developed CSP module was a little lower than that of the CR-113 (Cremat, Inc., MA), and the resolution of the shaping amplifier was similar to that of the CR-200 (Cremat, Inc., MA). The value of $V_{rms}$ representing the magnitude of noise of the developed system was estimated as 6.48 keV and it was confirmed that the trajectory of the electron can be measured by the developed system considering the minimum energy deposition ( > ~51 keV) of Compton-recoiled electron in 145-${\mu}m$-thick DSSD.

• Fire Science and Engineering
• /
• v.34 no.2
• /
• pp.30-40
• /
• 2020

In the event of a fire and a disaster, prompt and accurate alarms inside and outside the building are directly related to the minimization of damage and the success of life evacuation. However, due to unwanted fire alarms in automated fire detection systems, the number of dispatches by misunderstanding in the 119 service is increasing. This causes the insensitivity to the safety of building managers and the waste of the fire-fighting power. Therefore, in this study, the statistical databases and literature on unwanted fire alarms in Korea and abroad (USA, UK) were identified and the management systems for unwanted fire alarms were compared and analyzed to identify problems of statistics in the management systems for unwanted fire alarms.