Earticle

This paper presents a natural corners-based SLAM (Simultaneous Localization and Mapping) with a robust data association algorithm in a real unknown environment. Corners are extracted from raw laser sensor data, which are chosen as landmarks for correcting the pose of mobile robot and building the map. In the proposed data association method, the extracted corners in every step are separated into several groups with small numbers of corners. In each group, local best matching vector between new corners and stored ones is found by joint compatibility, while nearest feature for every new corner is checked by individual compatibility. All these groups with local best matching vector and nearest feature candidate of each new corner are combined by partial compatibility with linear matching time. Finally, SLAM experiment results in an indoor environment based on the extracted corners show good robustness and low computation complexity of the proposed algorithms in comparison with existing methods.

System-On-a-Chip(SOC)을 테스트하는 동안에 요구되는 테스트 시간과 전력소모는 SOC내의 IP 코어의 개수가 증가함에 따라서 매우 중요하게 되었다. 본 논문에서는 수정된 스캔 래치 재배열을 사용하여 scan-in 전력소모와 테스트 데이터의 양을 줄일 수 있는 새로운 알고리즘을 제안한다. 스캔 벡터 내의 해밍거리를 최소화하도록 스캔 래치 재배열을 적용하였으며 스캔 래치 재배열을 하는 동안에 스캔 벡터 내에 존재하는 don't care 입력을 할당하여 저전력 및 테스트 데이터 압축을 하였으며 ISCAS 89 벤치마크 외호에 적용하여 모든 경우에 있어서 테스트 데이터를 압축하고 저전력 스캔 테스팅을 구현하였다.

Testing time and power consumption during testing System-On-a-Chip (SOC) are becoming increasingly important as the IP core increases in a SOC. We present a new algorithm to reduce the scan-in power and test data volume using the modified scan latch reordering. We apply scan latch reordering technique for minimizing the hamming distance in scan vectors. Also, during scan latch reordering, the don't care inputs in scan vectors are assigned for low power and high compression. Experimental results for ISCAS 89 benchmark circuits show that reduced test data and low power scan testing can be achieved in all cases.

As the complexity of software is increasing, generating an effective test data has become a necessity. This necessity has increased the demand for techniques that can generate test data effectively. This paper proposes a test data generation technique based on adequacy based testing criteria. Adequacy based testing criteria uses the concept of mutation analysis to check the adequacy of test data. In general, mutation analysis is applied after the test data is generated. But, in this work, we propose a technique that applies mutation analysis at the time of test data generation only, rather than applying it after the test data has been generated. This saves significant amount of time (required to generate adequate test cases) as compared to the latter case as the total time in the latter case is the sum of the time to generate test data and the time to apply mutation analysis to the generated test data. We also use genetic algorithms that explore the complete domain of the program to provide near-global optimum solution. In this paper, we first define and explain the proposed technique. Then we validate the proposed technique using ten real time programs. The proposed technique is compared with path testing technique (that use reliability based testing criteria) for these ten programs. The results show that the adequacy based proposed technique is better than the reliability based path testing technique and there is a significant reduce in number of generated test cases and time taken to generate test cases.

The stability and control derivatives of DURUMI-lI UAV using the flight test are obtained. The flight test data is gathered from the normal flight condition (normal mode) and the flight condition assumed as the right elevator fixed (fault mode). Using real-time parameter estimation techniques, applied to Fourier transform regression method, simulates the aircraft motion. From the result, the fault of control surface is to be detected. In this paper, the results of the real- time parameter estimation techniques are compared with the results of the Advanced Aircraft Analysis (AAA). Using the aerodynamic derivatives, it provides the base line of normal/failure for the control surface by using the on-line parameter estimation of Fourier transform regression. In flight, this approach maybe helpful to detect and isolate the fault of primary control surface. It is explained how to perform the flight condition assumed as the right elevator fixed in the flight test. Also, it is mentioned how to switch between the normal flight condition and the assumed fault flight condition.

Test-time adaptation (TTA) is a method of updating model parameters during inference using only unlabeled test data. Unlike supervised learning where labels are provided, data augmentation may not function effectively in TTA settings due to discrepancies between predictions using original and augmented samples. We address this limitation by introducing a novel approach that employs selected augmentations with distinct adaptation strategies customized for each transformation. Our approach is designed as a plug-in solution that can easily be integrated into existing methods. Extensive experiments demonstrate that our approach outperforms existing baselines in the ImageNet-C, VisDA2021, and ImageNet-Sketch dataset under various challenging scenarios.

Objective : The purpose of this study was establishing clinical norms of TEMPA Korean version for Korean adult population in addition to identifying characteristics of hand function by age and gender based on the collected data. Methods : A total of 138 healthy adults between ages 20 and 59 were recruited by continuous sampling. All subjects had been employed TEMPA Korean version and Jarmar dynamometer and pinch gauge to evaluate hand function and strength. Results : The results showed that there were no statistically significant difference in overall hand function among the age groups and between genders. Also, while there were no significant differences in overall speed and qualitative movement, age groups of 40s and 50s showed a declining tendency in speed in some of the tasks. Also, hand strength increases up to 40s and start declining from the 50s, but most results did not show significant differences among the age groups. Conclusion : Normative data of TEMPA Korean version for Korean adult population was established, therefore, it can be used in clinical setting and research as evidence based.Furthermore, occupational therapists need to consider about the signs of decline in hand function and strength in middle-aged adults and to provide education programs to maintain their hand function.

Objective : This study aimed to identify the characteristics of hand function according to age and sex in older adults. Methods : This study included 103 healthy adults aged ≥60 years. The Korean version of TEMPA was used to assess hand function and a Jamar dynamometer and pinch gauge were used to assess hand and pinch strength in all participants. Results : The results of hand function assessment showed that speed of task execution (mean = 121.32 s, SD = 18.07 s in subjects aged 60-69; mean = 144.97 s, SD = 28.43 s in subjects aged 70-79; and mean = 160.93 s, SD = 38.33 s in subjects aged ≥80, p < .001) and fine movement (mean score = -.14, SD = .40 in subjects aged 60-69; mean score = -.63, SD = 1.07 in subjects aged 70-79; and mean score = -.57, SD = .65 in subjects aged ≥80, p = .01) decreased significantly with age. The male group showed better speed of task execution (mean = 133.54, SD =22.83 in males vs. mean = 150.55, SD = 39.89 in females, p < .01) and fine movement (mean score = -.16, SD = .37 in males vs. mean score = -.46, SD =.58 in females, p < .01) than the female group. Hand strength also decreased significantly with age (p < .05, to p < .001). Conclusion : Occupational therapists should be aware of the decline in hand function (especially speed of task execution and fine movement) and strength in older adults, as well as the need to provide interventions to treat this decline.

Objective To determine the abnormal pulmonary function value in Korean Duchenne muscular dystrophy (DMD) patients, we performed a comparative analysis of the patients’ pulmonary function value expressed as % of the overseas reference data and Korean healthy children and adolescent reference data.Methods We performed pulmonary function test (PFT) in a total of 27 DMD patients. We compared the patients’ FVC% and FEV1% of the overseas reference data with those of the Korean children and adolescent reference data. Also, we compared the patients’ MIP% and MEP% of the prediction equation data with those of the Korean children and adolescent reference data. Results Age of the subjects ranged from 8 to 16 years (12.03±2.27 years). The mean maximal expiratory pressure (MEP), maximal inspiratory pressure (MIP), vital capacity (VC), forced vital capacity (FVC), forced expiratory volume in 1 second (FEV1), and peak cough flow (PCF) were 36.93±9.5 cmH2O, 45.79±17.46 cmH2O, 1.4±0.43 L, 1.45±0.45 L, 1.40±0.41 L, and 206.25±61.21 L/min, respectively. The MIP%, MEP%, and FVC% of the Korean children and adolescent reference data showed statistically significant higher values than those of the prediction equation data.Conclusion We observed a clear numeric difference between Korean DMD patients’ pulmonary function value expressed as % of the overseas data and inland data. To perform a precise assessment of respiratory function and to determine appropriate respiratory therapy, pulmonary function values of Korean DMD patients should be interpreted taking into account the inland normal pulmonary function test data.

철저한 단위테스트를 통해 소프트웨어 단위부품의 품질을 조기에 확보하여야 통합테스트 기간을 단축하고 프로젝트 비용을 절감하여 궁극적으로 정해진 기간 내에 시스템의 구축을 완료할 수 있게 된 다. 그러나 업무 지원 응용 시스템은 대부분이 데이터베이스를 사용하므로 그렇지 않은 소프트웨어보다 단위테스트를 수행하기가 훨씬 더 복잡하고 어려워 단위부품의 품질 확인이 부실해지거나 지연됨으로써 개발에 차질을 초래하는 경우가 많다. 지금까지 테스트에 대한 많은 연구가 있었지만 데이터베이스를 사용하는 대규모 응용시스템을 테스트하기 위한 연구는 상대적으로 미약하였다. 이는 데이터베이스로 인하여 증폭된 복잡성이문제에 대한 분석과 해결을 어렵게 한 것이 원인으로 보인다. 참조무결성(referential integrity)을 사용하는 경우 테이블에 데이터를 등록하거나 삭제하려 할 때 등록을 못하거나 삭제를 못하는 문제가 발생한다. 이러한 문제를 해결하기 위해 여분의 데이터를 작성하면 등록이나 삭제가 가능해질 수 있다. 본 논문에서는 이 데이터를 수작업으로 작성하는 것이 아니라 참조관계를 이용하여 자동으로 생성하는 알고리즘에 대해 연구한다. 연구의 결과는 테스트 데이터 작성에 드는 노력을 줄여 데이터베이스 응용시스템의 단위테스트를 원활하게 수행할 수 있는 자동화 도구를 구축하는 기반이 될 것으로 기대한다.

Game development costs a lot of money. Thus, in terms of cost-saving, game companies produce prototypes and undergo several tests and modifications during the development period. In this paper, we proposed a brainwave signal analysis system and linked it with the game to measure the player's emotion through brainwave analysis experiment and tried to solve these problems. The brainwave signal analysis system proposed in this paper is capable of various applications according to various development situations, such as the progress of the game, events, etc. in obtaining simple figures over time by linking games, and collecting the tester's responses according to development intentions, so there will have to be continuous additional research.

지능형 컴퓨팅의 등장으로 빅데이터를 활용한 패션 브랜드 의미 마이닝과 가치 홍보에 초점을 맞춘 새로운 연구 트렌드가 등장하였다. 본 연구의 목적은 인기 여성복 브랜드 5개를 대상으로 다양한 종류의 의류에 대한 소비자 감성 트렌드를 조사하는 것이다. 유니클로, 에이치스타일, 베로모다, 피스버드, 온리. 이를 위해 총 93,550건의 소비자 평가를 수집하고, 키스멧 감성 분석 엔진을 활용하여 의류 유형별 감성 극성도를 분석하였 다. 그 결과, 브랜드에 따라 감정 극성이 크게 다르다는 것을 알 수 있었으며, HSTYLE 후드티, ONLY 니트웨 어, 피스버드 순면, 유니클로 니트가 각각 소비자들에게 가장 강한 긍정적 감정을 불러일으켰다. 또한 이번 연 구에서는 각 브랜드에서 가장 인기 있는 의류 유형과 착용 효과를 밝혀 패션 기업이 효과적인 마케팅 전략을 수립하고 제품 제공을 강화하는 데 중요한 인사이트를 제공했다. 이러한 연구 결과를 바탕으로 게임 업계에서 는 감성 분석을 적용하여 다양한 게임 브랜드, 장르, 게임 플레이에 대한 플레이어의 감정 반응을 이해하고 게임 프로모션 전략과 제품 디자인 개발에 도움을 줄 수 있다. 전반적으로 이 연구 결과는 디자인 분야에서 빅데이터의 잠재력을 입증하고 업계에서 경쟁 우위를 확보하기 위해 빅데이터를 활용하는 것이 중요하다는 점을 강조할 수 있다.

The advent of intelligent computing has brought about a new research trend that focuses on utilizing big data for fashion brand connotation mining and value promotion. The purpose of this study was to investigate consumer emotional trends towards various types of clothing in five popular women's clothing brands: UNIQLO, HSTYLE, VERO MODA, PeaceBird, and ONLY. To achieve this, we collected a total of 93,550 characters of consumer evaluations and employed the Kismet sentiment analysis engine to analyze the emotional polarity of different types of clothing. The results indicated that the emotional polarity of different brands varied significantly, with HSTYLE hoodies, ONLY knitwear, Peacebird pure cotton, and Uniqlo knitting evoking the strongest positive emotions in consumers, respectively. Additionally, this study revealed the most popular garment types and wearing effects in each brand, providing crucial insights for fashion companies to devise effective marketing strategies and enhance their product offerings. Based on these findings, sentiment analysis could be applied in the gaming industry to understand players' emotional responses to different gaming brands, genres, and gameplay, aiding in the development of game promotion strategies and product design. Overall, the findings of this study demonstrate the potential of big data in design and underscore the importance of leveraging it to gain a competitive advantage in the industry.

지능형 컴퓨팅의 등장으로 빅데이터를 활용한 패션 브랜드 의미 마이닝과 가치 홍보에 초점을 맞춘 새로운 연구 트렌드가 등장하였다. 본 연구의 목적은 인기 여성복 브랜드 5개를 대상으로 다양한 종류의 의류에 대한 소비자 감성 트렌드를 조사하는 것이다. 유니클로, 에이치스타일, 베로모다, 피스버드, 온리. 이를 위해 총 93,550건의 소비자 평가를 수집하고, 키스멧 감성 분석 엔진을 활용하여 의류 유형별 감성 극성도를 분석하였 다. 그 결과, 브랜드에 따라 감정 극성이 크게 다르다는 것을 알 수 있었으며, HSTYLE 후드티, ONLY 니트웨 어, 피스버드 순면, 유니클로 니트가 각각 소비자들에게 가장 강한 긍정적 감정을 불러일으켰다. 또한 이번 연 구에서는 각 브랜드에서 가장 인기 있는 의류 유형과 착용 효과를 밝혀 패션 기업이 효과적인 마케팅 전략을 수립하고 제품 제공을 강화하는 데 중요한 인사이트를 제공했다. 이러한 연구 결과를 바탕으로 게임 업계에서 는 감성 분석을 적용하여 다양한 게임 브랜드, 장르, 게임 플레이에 대한 플레이어의 감정 반응을 이해하고 게임 프로모션 전략과 제품 디자인 개발에 도움을 줄 수 있다. 전반적으로 이 연구 결과는 디자인 분야에서 빅데이터의 잠재력을 입증하고 업계에서 경쟁 우위를 확보하기 위해 빅데이터를 활용하는 것이 중요하다는 점을 강조할 수 있다.

The advent of intelligent computing has brought about a new research trend that focuses on utilizing big data for fashion brand connotation mining and value promotion. The purpose of this study was to investigate consumer emotional trends towards various types of clothing in five popular women's clothing brands: UNIQLO, HSTYLE, VERO MODA, PeaceBird, and ONLY. To achieve this, we collected a total of 93,550 characters of consumer evaluations and employed the Kismet sentiment analysis engine to analyze the emotional polarity of different types of clothing. The results indicated that the emotional polarity of different brands varied significantly, with HSTYLE hoodies, ONLY knitwear, Peacebird pure cotton, and Uniqlo knitting evoking the strongest positive emotions in consumers, respectively. Additionally, this study revealed the most popular garment types and wearing effects in each brand, providing crucial insights for fashion companies to devise effective marketing strategies and enhance their product offerings. Based on these findings, sentiment analysis could be applied in the gaming industry to understand players' emotional responses to different gaming brands, genres, and gameplay, aiding in the development of game promotion strategies and product design. Overall, the findings of this study demonstrate the potential of big data in design and underscore the importance of leveraging it to gain a competitive advantage in the industry.

전 세계적으로 이상기후 등 다양한 환경 요인으로 인하여 국지성 집중호우의 빈도는 증가하고 이로 인한 도로재해 규모가 매년 증가하고 있다. 이러한 집중호우는 직접적인 강우 관측이 이루어지지 않는 미계측 지역은 인근 관측 값을 통해 추정하여 활용하기 때문에 정확도가 떨어질 수밖에 없으 며, 이를 해결하기 위하여 레이더를 이용한 강우 관측, 방재기상관측소 등 강우 관측 기술에 대한 관심이 집중되고 있다. 그러나 이러한 시설들은 고비용이 소요되기 때문에 설치 수에 제한이 있다. 본 논문에서는 이러한 문제점을 해결하기 위해 차량용 레인센서에서 생산되는 센서 시그널 정보를 이용하여 강우정보를 생산하는 기술을 개발하였다. 레인센서 시그널을 강우정보로 활용하기 위하여 기존에 개발된 W-S-R 관계식은 5분 동안 생산된 값의 평균을 적용한 방법으로 와이퍼의 영향을 충분히 고려하지 못하여 정확도가 떨어지는 결과를 확인하였다. 이를 해결하기 위하여 레인센서 시그널에서 와이퍼가 동작한 전⋅후의 값의 차를 이용하는 방법을 적용하여 강우정보를 생산하고 지상강우량과 기존 W-S-R에 의한 강우량과 각각 비교하여 검증하였다.

Due to climate change and various environmental factors, localized torrential rains and weather-related road accidents have been increasing around the world. The estimated precipitation of torrential rains is subtantially inaccurate in areas where the rainfall data are not directly observed but estimated based on neighboring observations. Much attention is focused on rainfall observation technologies such as radar and AWS, but these facilities are too expensive to install and therefore lack the spatial resolution. We developed a technology to produce rain information using sensor signal features generated from rain sensors for vehicles. The W-S-R relationship formula, which was developed to utilize rain sensor signals to obtain rain information, was applied to the average signal values for five minutes, but found inaccurate due to insufficient consideration of the wiper effects. To solve this problem, the rain information was generated by the method of using the difference between the values before and after wipers were operated on the rain sensor signal, and evaluated by comparing the ground rainfall with that from W-S-R method.

The relationship between the small-punch creep test and the conventional creep test was investigated experimentally using a method similar to that of the Monkman-Grant relationship. Uniaxial and small-punch creep rupture tests were carried out on 9Cr-2W ferritic steel (Commercial Grade 92 steel: X10CrWMoVNb 9-2) at elevated temperatures. From the relation derived in the same manner as the Monkman-Grant relation, a correlation between the displacement rate in response to the small-punch creep test and the strain rate in the uniaxial creep test was found, and the creep life was calculated using this relation. Furthermore, the failure modes of the small punch creep test specimens were investigated to show that the fracture was caused by creep.

In this study, the results of a series of consolidation test for undisturbed Ariake clay in Japan were analyzed by three methods, e-log p (e: void ratio, p: consolidation pressure), log e-log p and n-log p (n: porosity). Moreover, the characteristics of each analysis method were studied. For undisturbed Ariake clay, the log o-Log p and the n-log p relationships can be found as two groups of straight lines of different gradients, but both the elastic consolidation and plastic consolidation regions of e-log p relationship are expressed as a curve. In this paper, the porosity of consolidation yield n$\_$y/, consolidation yield stress p$\_$y/, and the gradient of the plastic consolidation region C$\_$p/ were represented by the log e-log p method, and n$\_$c/, P$\_$cn/ and C$\_$cn/ were represented by the n-log p method. The meaning and the relationships of each value were studied, and the interrelationships among compression indices i.e. C$\_$cn/, C$\_$p/ and C$\_$c/ are obtained from each analysis method as a function of initial porosity n$\_$0/.

도로변에 설치된 중대형 지주구조물은 적절히 방호되지 않고 차량에 노출된 경우 충돌 시 심각한 차량 파손과 탑승자 상해로 이어진다. 북미지역이나 유럽은 차량에 노출된 지주에 대한 충돌피해를 줄이기 위하여 일반적으로 분리식 지주를 사용하고 있으나 분리된 지주의 낙하 시 2차 사고의 위험이 상존한다. 이를 해결하기 위한 방법으로 슬라이딩 지주가 제안되었다. 본 논문은 국도와 지방도에 많이 쓰이는 무게 507 kg의 편주식 지주구조에 대하여 기존의 방식으로 기초에 강결된 경우와 슬라이딩 지주로 개선된 경우에 대한 1.3 ton-60 km/h, 1.3 ton-80 km/h의 충돌실험을 실시하여 강결지주의 위험도를 보이고 슬라이딩지주의 감충성능(Crashworthiness)을 입증하였다. 한편 차량중심에서 계측된 가속도가 차량과 지주의 운동을 동시에 나타낸다고 보는 기존의 충돌해석 방법 대신 고속촬영 데이터를 이용하여 지주를 차량의 운동과 분리시켜 충돌과정을 단계별로 설명함으로써 감충성능을 갖는 지주설계의 기초를 제시하였다.

Medium to large post structures installed along the roadside without proper protection can lead to serious vehicle damage and occupant injury at the impact. In North America and Europe, splitting systems such as slip base or breakaway device are used to reduce impacts. But the system has the risk of secondary accident when the splitted post falls down to the traffic or pedestrian. Sliding Post have been proposed as a way to solve this problem. By studying the crash test results of the 1.3ton and 0.9ton vehicle with 60 km/h and 80 km/h to a Rigidly Fixed Post (RFP) and Sliding Post (SP), danger of the conventional RFP and crashworthiness of the SP have been proven. While collision analysis only from the acceleration measured at the center of the vehicle assumes the motion of the post is the same as that of the vehicle, in this paper, by adding high speed film data to the analysis with vehicle acceleration could have separate the post motion from the vehicle motion. It gives better explanations on the movement of post and vehicle in each distinctive time step and provides basics to the crashworthy post design.

본 연구에서는 한국도로공사 도로교통기술원에서 수행한 충격흡수시설의 충돌시험 결과 데이터를 분석하여 충격흡수시설 설계법 개발을 위한 유용한 결과를 얻고자 하였다. 분석에 사용된 CC1등급 충격흡수시설 10회, CC2등급 충격흡수시설 24회 총34회의 충돌시험 결과데이터들을 이용하여 국내 지침에 따라 탑승자 충돌속도(THIV)와 탑승자 가속도(PHD)를 계산하였고 총34회의 충돌시험데이터에서 Y축 가속도와 Yaw 각속도를 무시하고 X축 가속도 충돌시험데이터만을 이용해 탑승자 충돌속도(THIV)와 탑승자 가속도(PHD)를 계산하였다. 비교분석 결과 충격흡수시설의 탑승자 안전도가 오차율 2% 미만으로 나타나 X축 가속도 충돌시험데이터만을 이용한 탑승자 안전도 계산의 유효성이 증명되었다. 충돌시험 데이터 중 X축 가속도를 적분하여 얻은 흡수에너지와 초기 충돌차량의 충돌에너지를 비교분석한 결과, 거의 정확히 일치하여 X축 가속도만을 사용한 충격흡수시설의 충돌거동 분석이 가능하였다. 본 논문에서는 충격흡수시설의 실물차량 충돌시험데이터를 이용해 탑승자의 안전도 및 충돌거동을 분석함으로써 일차원을 적용한 충격흡수시설의 설계법 개발의 근간을 마련하였다.

According to the rules, a crash cushion is supposed to set up products that is satisfied with the standard of a performance test after performing the car crash test by road safety facilities and management guide. For development of crash cushion, performance should be estimated through the car crash test eventually. However, there is no reasonable design method which considers passenger's safety and only depend on crash test without an alternative plan. Therefore it incurs a loss materially and takes a lot. Therefore, we are asked to create a systematic design of the crash cushion. This study shows that a scientific basis of applying single degree of freedom when it designs the crash cushion after analyzing vehicle crash test data of crash cushion and also represents design of crash cushion through single degree of freedom response spectrum using calculated by crash test data on crash cushion.