• Title/Summary/Keyword: Non-matching

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Software Development Process of Military Aircraft based on MIL-HDBK-516C (MIL-HDBK-516C 기반의 군용항공기 탑재 소프트웨어 개발 프로세스)

  • Heo, Jin-Gu;Moon, Yong-Ho
    • Journal of Aerospace System Engineering
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    • v.15 no.3
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    • pp.71-78
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    • 2021
  • Since most functions of modern aircraft are controlled by software, software errors are directly related to aircraft safety. The criterion in Chapter 15 of the MIL-HDBK-516C addresses safe development and verification of military aircraft software. As the U.S. Air Force repeatedly experienced non-compliance with Chapter 15 criterion of the MIL-HDBK-516C, it published an Airworthiness Circular (AC-17-01) as a guide to meeting the criterion. In this paper, Chapter 15 of MIL-HDBK-516C, AC-17-01 and the SW Qualification Guideline (DO-178C) as applied by the Federal Aviation Administration are compared and analyzed. For the analysis, a matching ratio formula between the MIL-HDBK-516C criteria specified in AC-17-01 and the DO-178C specified in MIL-HDBK-516C criteria is defined. The sections that satisfy MIL-HDBK-516C criterion are derived when AC-17-01 or DO-178C matches. Based on the analysis results, the aircraft software development process is established and examples of application of Chapter 15 of MIL-HDBK-516C are addressed.

An Analysis for the Skill Mismatching of IT Service Sector by Technology Changes (기술변화에 따른 IT 서비스업의 숙련 미스매칭 분석)

  • Kim, Young-Dal;Jeong, Soon-Ki;Ahn, Jong-Chang
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.2
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    • pp.273-282
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    • 2021
  • This study investigates for skills mismatching of the IT service sector in the flows of fast technology changes. It was conducted through an in-depth interview method for professional groups. There were differences in demand for skilled labor by business organizations and educators as providers of skilled labor. A five-point Likert scale was used. The degree of importance of 3.7 average point and the degree of satisfaction of 3.4 average point were responded for the set items in case of matching. In addition, the degree of importance of 3.79 average point and the satisfaction of 3.12 were responded in case of non-majored education students for IT. The skills desired from business organizations included multi-dimensional competencies and soft-skill items. For the reason of skills mismatching, business organizations presented ineffective specifications or divisions of the industrial manpower structure, and educational institutions selected the mismatching of time. Professional groups forecasted that the mismatching gap would expand in the future. To solve the gap, the participated professionals selected an industry-university institute collaboration course and gave an opinion to seek a method to foster manpower in the long-term perspective.

A study on visuomotor and visuotactile synchronization in full body ownership illusion with virtual avatars (가상 아바타와의 전신 몸 소유감에서 시각-운동 및 시각-촉각 동기화에 관한 연구)

  • Oh, Jintaek;Kim, Jihwan;Kim, Kwanguk
    • Journal of the Korea Computer Graphics Society
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    • v.28 no.3
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    • pp.1-11
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    • 2022
  • Body ownership illusion (BOI), which means 'the illusion that a non-bodily object feels like my body', has been actively studied since the Rubber-hand Illusion showed that a person can feel a rubber hand like one's own hand. It has been proven that BOI can be elicited for virtual bodies in virtual reality. Although many studies have been examined the effect of visuomotor (VM) and visuotactile (VT) stimuli, which are mainly used for the elicitation of BOI, there were very limited studies that delivered both stimuli to the whole body at the same time. In this paper, we investigated how each stimulus affects BOI when delivering VM and VT stimulisimultaneously to the virtual avatar, and examined user experience that appears as presence, emotion, and virtual motion sickness. The results showed that BOI was high when VM is synchronous, but there was no significant difference according to VT levels. In the case of presence, it was confirmed that VT affects only when VM is synchronous, and in the case of emotion, both VM and VT affect valence, and in the case of virtual motion sickness, a statistical difference is not found.These results suggest that overall synchrony of VM is important factor in BOI with virtual avatars, but that the matching VT affects subjective experience such as presence when VM is synchronous.

Environmental analysis and strategy to jointly host the 2027 Chungcheong Summer World University Games (2027 충청 하계세계대학경기대회 공동유치를 위한 환경분석 및 전략)

  • Lee, Jong-Hyun;Kim, Hwa-Ryong;Jeon, Sang-Wan
    • Journal of the Korea Convergence Society
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    • v.13 no.5
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    • pp.333-346
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    • 2022
  • This study proposes a strategy to attract visitors by analyzing the justification for hosting the 2027 Summer World University Games in Chungcheong, Korea, as well as by assessing the internal and external factors to promote regional development. Using Environmental Analysis as the diagnostic approach, we focus on strength/opportunity (SO), strength/threat (ST), weakness/opportunity (WO), and weakness/threat (WT) analyses. SO analysis show that a matching strategy of mid- to long-term cooperation among the four cities and provinces in Chungcheong and development of local sports by promoting its linkages to science, and industry offer best strategic use-value. ST analysis shows that optimal infrastructure development and establishment of competition management strategies in preparation for non-face-to-face engagement make balanced regional development possible. WO analysis shows the need for rearrangement and renovation of outdated sports facilities, development of programs linked to convergence sports tourism products, efficient and strategic attraction activities, and promoting sustainable development of bed town cities. WT analysis suggests that the imbalance in regional development due to expansion of sports facilities, insufficient cultural contents in tourism, and tourism demand fluctuation are potential problems. Follow-up studies can focus on deeper analysis of the possibility and attractiveness of hosting the Summer World University Games in Chungcheong, Korea using qualitative methods such as focus group interviews and in-depth interviews with stakeholders and local residents.

Effect of Community-Based Interventions for Registering and Managing Diabetes Patients in Rural Areas of Korea: Focusing on Medication Adherence by Difference in Difference Regression Analysis (한 농촌 지역사회 기반 당뇨병 환자의 등록관리 중재의 효과: 투약순응도에 대한 이중차이분석을 중심으로)

  • Hyo-Rim Son;So Youn Park;Hee-Jung Yong;Seong-Hyeon Chae;Eun Jung Kim;Eun-Sook Won;Yuna Kim;Se-Jin Bae;Chun-Bae Kim
    • Health Policy and Management
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    • v.33 no.1
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    • pp.3-18
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    • 2023
  • Background: A chronic disease management program including patient education, recall and remind service, and reduction of out-of-pocket payment was implemented in Korea through a chronic care model. This study aimed to assess the effect of a community-based intervention program for improving medication adherence of patients with diabetes mellitus in rural areas of Korea. Methods: We applied a non-equivalent control group design using Korean National Health Insurance Big Data. Hongcheon County has been continuously adopting this program since 2012 as an intervention region. Hoengseong County did not adopt such program. It was used as a control region. Subjects were a cohort of patients with diabetes mellitus aged more than 65 years but less than 85 years among residents for 11 years from 2010 to 2020. After 1:1 matching, there were 368 subjects in the intervention region and 368 in the control region. Indirect indicators were analyzed using the difference-in-difference regression according to Andersen's medical use model. Results: The increasing percent point of diabetic patients who continuously received insurance benefits for more than 240 days from 2010 to 2014 and from 2010 to 2020 were 2.6%p and 2.7%p in the intervention region and 3.0%p and 3.9%p in the control region, respectively. The number of dispensations per prescription of diabetic patient in the intervention region increased by approximately 4.61% by month compared to that in the control region. Conclusion: The intervention program encouraged older people with diabetes mellitus to receive continuous care for overcoming the rule of halves in the community. More research is needed to determine whether further improvement in the continuity of comprehensive care can prevent the progression of cardiovascular diseases.

An Occupancy based O/D Data Construction Methodology for Expressway Network (고속도로를 대상으로 한 재차인원별 O/D 구축방법론 연구)

  • Choi, Keechoo;Lee, Jungwoo;Yi, Yongju;Baek, Seungkirl
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.30 no.6D
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    • pp.569-575
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    • 2010
  • The occupancy based O/D is essential for measuring efficiency of various transportation policies like HOV/HOT lane, ramp metering, and public parking station. There has been many studies on occupancy survey methodology and O/D estimation using TCS (Toll Collection System) data separately. The occupancy O/D estimation methodology using TCS data has not been attempted thus far. An overall process from data collection stage to the occupancy O/D estimation stage has been suggested. Field survey was performed at the northbound Seoul toll station of Gyeongbu Expressway by each 2 hours of AM peak, PM non-peak, PM peak, midnight periods on a day. The process of matching the TCS data and field survey data classified by tollbooth ID, car type/mode, and arrival time was also performed. One typical output of the results showed that the ratio of single occupancy vehicles bounding for Seoul during the AM peak amounted to 60%. With the key output of this study and the specific O/D estimation methodology suggested, the whole centroid-to-centroid occupancy O/D of the country could be available, and then various applications in which the occupancy information is required could be possible.

Imaging of Facial Nerve With 3D-DESS-WE-MRI Before Parotidectomy: Impact on Surgical Outcomes

  • Han-Sin Jeong;Yikyung Kim;Hyung-Jin Kim;Hak Jung, Kim;Eun-hye Kim;Sook-young Woo;Man Ki Chung;Young-Ik Son
    • Korean Journal of Radiology
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    • v.24 no.9
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    • pp.860-870
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    • 2023
  • Objective: The intra-parotid facial nerve (FN) can be visualized using three-dimensional double-echo steady-state water-excitation sequence magnetic resonance imaging (3D-DESS-WE-MRI). However, the clinical impact of FN imaging using 3D-DESS-WE-MRI before parotidectomy has not yet been explored. We compared the clinical outcomes of parotidectomy in patients with and without preoperative 3D-DESS-WE-MRI. Materials and Methods: This prospective, non-randomized, single-institution study included 296 adult patients who underwent parotidectomy for parotid tumors, excluding superficial and mobile tumors. Preoperative evaluation with 3D-DESS-WE-MRI was performed in 122 patients, and not performed in 174 patients. FN visibility and tumor location relative to FN on 3D-DESS-WE-MRI were evaluated in 120 patients. Rates of FN palsy (FNP) and operation times were compared between patients with and without 3D-DESS-WE-MRI; propensity score matching (PSM) and inverse probability of treatment weighting (IPTW) were used to adjust for surgical and tumor factors. Results: The main trunk, temporofacial branch, and cervicofacial branch of the intra-parotid FN were identified using 3D-DESS-WE-MRI in approximately 97.5% (117/120), 44.2% (53/120), and 25.0% (30/120) of cases, respectively. The tumor location relative to FN, as assessed on magnetic resonance imaging, concurred with surgical findings in 90.8% (109/120) of cases. Rates of temporary and permanent FNP did not vary between patients with and without 3D-DESS-WE-MRI according to PSM (odds ratio, 2.29 [95% confidence interval {CI} 0.64-8.25] and 2.02 [95% CI: 0.32-12.90], respectively) and IPTW (odds ratio, 1.76 [95% CI: 0.19-16.75] and 1.94 [95% CI: 0.20-18.49], respectively). Conversely, operation time for surgical identification of FN was significantly shorter with 3D-DESS-WE-MRI (median, 25 vs. 35 min for PSM and 25 vs. 30 min for IPTW, P < 0.001). Conclusion: Preoperative FN imaging with 3D-DESS-WE-MRI facilitated anatomical identification of FN and its relationship to the tumor during parotidectomy. This modality reduced operation time for FN identification, but did not significantly affect postoperative FNP rates.

An application of MMS in precise inspection for safety and diagnosis of road tunnel (도로터널에서 MMS를 이용한 정밀안전진단 적용 사례)

  • Jinho Choo;Sejun Park;Dong-Seok Kim;Eun-Chul Noh
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.26 no.2
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    • pp.113-128
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    • 2024
  • Items of road tunnel PISD (Precise Inspection for Safety and Diagnosis) were reviewed and analyzed using newly enhanced MMS (Mobile Mapping System) technology. Possible items with MMS can be visual inspection, survey and non-destructive test, structural analysis, and maintenance plan. The resolution of 3D point cloud decreased when the vehicle speed of MMS is too fast while the calibration error increased when it is too slow. The speed measurement of 50 km/h is determined to be effective in this study. Although image resolution by MMS has a limit to evaluating the width of crack with high precision, it can be used as data to identify the status of facilities in the tunnel and determine whether they meet disaster prevention management code of tunnel. 3D point cloud with MMS can be applicable for matching of cross-section and also possible for the variation of longitudinal survey, which can intuitively check vehicle clearance throughout the road tunnel. Compared with the measurement of current PISD, number of test and location of survey is randomly sampled, the continuous measurement with MMS for environment condition can be effective and meaningful for precise estimation in various analysis.

Precise Diagnosis and Conservation Treatment of the Twin-lion Stone Lantern from the Godalsa Temple Site, Yeoju (여주 고달사지 쌍사자 석등의 정밀진단 및 보존처리)

  • National Museum of Korea Conservation Science Division;Damwon Cultural Heritage Inc.;Man Gyeong Corp.
    • Conservation Science in Museum
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    • v.31
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    • pp.71-103
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    • 2024
  • The National Museum of Korea Conservation science division conducted a precise diagnosis and a non-destructive investigation to comprehensively assess the overall damage of the Twin-lion stone lantern from the Godalsa Temple site, Yeoju to be placed on display in the museum's outdoor stone garden, then reviewed the relevant conservation and management plan and applied conservation treatment to the artifact. The museum carried out the treatment in the following order: precise diagnosis; dismantling of the previously-restored part of the roof stone; reinforcement and restoration of the roof structure with new stone; restoration of the previously-restored part of the lantern's support stone (jungseok); surface texture treatment to the restored area; cleaning (basic, laser); and color matching. The previously-restored part of the roof stone was removed and restored with new stone material, based on the results of a safety diagnosis regarding the separation at the said part. Granite from the Sangju area was selected as the material for the restoration in consideration of the results of mineral analysis as well as the surface color and particle size. The new stone was divided into three pieces based on the descending edges of the octagonal roof structure and joined together using epoxy resin. The structure was further strengthened by inserting titanium rods. It is expected that the status diagnosis and conservation treatment of the twin-lion stone lantern from the Godalsa Temple site in Yeoju will be used as a reference for the future conservation and management of outdoor displays of stone cultural heritage.

An Intelligence Support System Research on KTX Rolling Stock Failure Using Case-based Reasoning and Text Mining (사례기반추론과 텍스트마이닝 기법을 활용한 KTX 차량고장 지능형 조치지원시스템 연구)

  • Lee, Hyung Il;Kim, Jong Woo
    • Journal of Intelligence and Information Systems
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    • v.26 no.1
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    • pp.47-73
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    • 2020
  • KTX rolling stocks are a system consisting of several machines, electrical devices, and components. The maintenance of the rolling stocks requires considerable expertise and experience of maintenance workers. In the event of a rolling stock failure, the knowledge and experience of the maintainer will result in a difference in the quality of the time and work to solve the problem. So, the resulting availability of the vehicle will vary. Although problem solving is generally based on fault manuals, experienced and skilled professionals can quickly diagnose and take actions by applying personal know-how. Since this knowledge exists in a tacit form, it is difficult to pass it on completely to a successor, and there have been studies that have developed a case-based rolling stock expert system to turn it into a data-driven one. Nonetheless, research on the most commonly used KTX rolling stock on the main-line or the development of a system that extracts text meanings and searches for similar cases is still lacking. Therefore, this study proposes an intelligence supporting system that provides an action guide for emerging failures by using the know-how of these rolling stocks maintenance experts as an example of problem solving. For this purpose, the case base was constructed by collecting the rolling stocks failure data generated from 2015 to 2017, and the integrated dictionary was constructed separately through the case base to include the essential terminology and failure codes in consideration of the specialty of the railway rolling stock sector. Based on a deployed case base, a new failure was retrieved from past cases and the top three most similar failure cases were extracted to propose the actual actions of these cases as a diagnostic guide. In this study, various dimensionality reduction measures were applied to calculate similarity by taking into account the meaningful relationship of failure details in order to compensate for the limitations of the method of searching cases by keyword matching in rolling stock failure expert system studies using case-based reasoning in the precedent case-based expert system studies, and their usefulness was verified through experiments. Among the various dimensionality reduction techniques, similar cases were retrieved by applying three algorithms: Non-negative Matrix Factorization(NMF), Latent Semantic Analysis(LSA), and Doc2Vec to extract the characteristics of the failure and measure the cosine distance between the vectors. The precision, recall, and F-measure methods were used to assess the performance of the proposed actions. To compare the performance of dimensionality reduction techniques, the analysis of variance confirmed that the performance differences of the five algorithms were statistically significant, with a comparison between the algorithm that randomly extracts failure cases with identical failure codes and the algorithm that applies cosine similarity directly based on words. In addition, optimal techniques were derived for practical application by verifying differences in performance depending on the number of dimensions for dimensionality reduction. The analysis showed that the performance of the cosine similarity was higher than that of the dimension using Non-negative Matrix Factorization(NMF) and Latent Semantic Analysis(LSA) and the performance of algorithm using Doc2Vec was the highest. Furthermore, in terms of dimensionality reduction techniques, the larger the number of dimensions at the appropriate level, the better the performance was found. Through this study, we confirmed the usefulness of effective methods of extracting characteristics of data and converting unstructured data when applying case-based reasoning based on which most of the attributes are texted in the special field of KTX rolling stock. Text mining is a trend where studies are being conducted for use in many areas, but studies using such text data are still lacking in an environment where there are a number of specialized terms and limited access to data, such as the one we want to use in this study. In this regard, it is significant that the study first presented an intelligent diagnostic system that suggested action by searching for a case by applying text mining techniques to extract the characteristics of the failure to complement keyword-based case searches. It is expected that this will provide implications as basic study for developing diagnostic systems that can be used immediately on the site.