• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2006년도 춘계종합학술대회
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• pp.397-401
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• 2006

In this paper, we proposed a high precision location estimation algorithm using an enhanced decision scheme for RTLS and analyzed its performance in point of an average estimation error distance at 2D coordinates searching area, $300m\times300m$ and LOS propagation environments. Also the performance was compared with that of conventional TDOA algorithm according to the number of available reader and received sub-blink. From the results, we confirmed that the proposed location estimation algorithm using an enhanced decision scheme was able to improve an estimation accuracy even in boundary region of searching area. Moreover, effectively reduced an error distance in entire searching area so that increased the stability of location estimation in RTLS. Therefore, we verified that the proposed algorithm provided a more higher estimation accuracy and stability than conventional TDOA.

• 한국수학교육학회지시리즈D:수학교육연구
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• 제24권1호
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• pp.1-27
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• 2021

For elementary school children, learning the standard multiplication algorithm with accuracy, clarity, consistency, and efficiency is a daunting task. Nonetheless, what should be our expectation in procedural fluency, for example, in finding the product of 25 and 37 among fifth grade students? Collectively, has the mathematics education community emphasized the value of conceptual understanding to the detriment of procedural fluency? In addition to examining these questions, we survey multiplication algorithms throughout history and in textbooks and reconceptualize the standard multiplication algorithm by using a new tool called the Multiplication Aid Template.

• Smart Structures and Systems
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• 제32권2호
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• pp.101-109
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• 2023

In order to improve the measurement accuracy of the 6-dimensional accelerometer, the cross coupling compensation method of the accelerometer needs to be studied. In this paper, the non-linear error caused by cross coupling of piezoelectric six-dimensional accelerometer is compensated online. The cross coupling filter is obtained by analyzing the cross coupling principle of a piezoelectric six-dimensional accelerometer. Linear and non-linear fitting methods are designed. A two-level calibration hybrid compensation algorithm is proposed. An experimental prototype of a piezoelectric six-dimensional accelerometer is fabricated. Calibration and test experiments of accelerometer were carried out. The measured results show that the average non-linearity of the proposed algorithm is 2.2628% lower than that of the least square method, the solution time is 0.019382 seconds, and the proposed algorithm can realize the real-time measurement in six dimensions while improving the measurement accuracy. The proposed algorithm combines real-time and high precision. The research results provide theoretical and technical support for the calibration method and online compensation technology of the 6-dimensional accelerometer.

• 여성건강간호학회지
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• 제29권3호
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• pp.219-228
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• 2023

Purpose: Preterm birth is increasing, and obstetric nurses should have the competency to provide timely care. Therefore, training is necessary in the maternal nursing practicum. This study aimed to investigate the effects of practice education using a preterm-labor assessment algorithm on preterm labor-related knowledge and clinical practice confidence in senior nursing students. Methods: A pre-post quasi-experimental design with three groups was used for 61 students. The preterm-labor assessment algorithm was modified into three modules from the preterm-labor assessment algorithm by March of Dimes. We evaluated preterm labor-related knowledge, clinical practice confidence, and educational satisfaction. Data were analyzed with the paired t-test and repeated-measures analysis of variance. Results: The practice education using a preterm-labor assessment algorithm significantly improved both preterm labor-related knowledge and clinical practice confidence (paired t=-7.17, p<.001; paired t=-5.51, p<.001, respectively). The effects of the practice education using a preterm-labor assessment algorithm on knowledge lasted until 8 weeks but decreased significantly at 11 and 13 weeks after the program, while the clinical practice confidence significantly decreased at 8 weeks post-program. Conclusion: The practice education using a preterm-labor assessment algorithm was effective in improving preterm labor-related knowledge and clinical practice confidence. The findings suggest that follow-up education should be conducted at 8 weeks, or as soon as possible thereafter, to maintain knowledge and clinical confidence, and the effects should be evaluated.

• 한국정보통신학회논문지
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• 제21권2호
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• pp.423-428
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• 2017

인터넷과 스마트 기기의 사용량 증가로 인해 다양한 교육정보와 많은 양의 데이터가 생성되어 빠르게 확산되고 있다. 최근 이러닝 이용률이 증가하면서 발생하는 빅데이터를 활용하여 학습자들의 교육 성과와 교육 시스템의 효과성을 극대화 하는 것을 목표로 하는 교육 데이터 관련 연구 분야에 대한 관심이 높아지고 있으며 온라인에서 학습자들이 학습한 수많은 기록과 데이터들이 정보로 쌓이게 된다. 이에 본 논문에서는 이러닝 학습자들이 시스템에 남긴 수강 기록을 기반으로 학습자 현황에 대해 객관적으로 파악할 수 있도록 신경망 알고리즘인 Word2Vec을 적용하여 단어 간 유사도를 구하고 클러스터링 알고리즘을 이용하여 군집화 하였다. Word2vec을 이용하여 학습을 시키면 연관된 의미의 단어가 나타나게 되고 학습을 반복해 나가는 과정에서 점차 가까운 벡터를 지니게 된다. 또한 클러스터 알고리즘을 이용하여 명사, 동사, 형용사, 부사가 중심점에서 최소의 거리를 두고 같은 거리에 위치해 있음을 실험 검증하였다.

• 정보교육학회논문지
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• 제11권3호
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• pp.267-279
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• 2007

미래의 창의적인 문제해결력을 지닌 인재 양성을 위해, 본 연구는 초등학생들에게 지도하기 어렵고 학생들이 이해하기 힘든 컴퓨터과학원리 중 라우팅알고리즘에 대한 교수 학습방법을 설계해 이를 지도해 보고 이러한 학습내용이 초등학교 학생들이 이해할 수 있는지를 알아보고자 하는데 그 목적이 있다. 사전 사후 동형 검사지를 통해 지적인 영역을 평가하고, 수업 후의 소감문을 통해 정의적인 영역을 평가하였다. 그 결과 네트워크 중 라우팅알고리즘이 초등학생에게 가르쳐질 수 있음을 확인하고 초등학교 컴퓨터교육의 학습요소로서의 가능성을 제시한다.

• Journal of Power Electronics
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• 제13권5호
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• pp.877-883
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• 2013

This paper discussed a transformer-less shunt static synchronous compensator (STATCOM) with consideration of the following aspects: fast compensation of the reactive power, harmonic cancelation and reducing the unbalancing of the 3-phase source side currents. The STATCOM control algorithm is based on the theory of instantaneous reactive power (P-Q theory). A self charging technique is proposed to regulate the dc capacitor voltage at a desired level with the use of a PI controller. In order to regulate the DC link voltage, an off-line Genetic Algorithm (GA) is used to tune the coefficients of the PI controller. This algorithm arranged these coefficients while considering the importance of three factors in the DC link voltage response: overshoot, settling time and rising time. For this investigation, the entire system including the STATCOM, network, harmonics and unbalancing load are simulated in MATLAB/SIMULINK. After that, a 35KVA STATCOM laboratory setup test including two parallel converter modules is designed and the control algorithm is executed on a TMS320F2812 controller platform.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권7호
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• pp.3329-3350
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• 2017

Installing caching and computing facilities in mobile edge networks is a promising solution to cope with the challenging capacity and delay requirements imposed on future mobile communication systems. The problem of optimal facility placement in mobile edge networks has not been fully studied in the literature. This is a non-trivial problem because the mobile edge network has a unidirectional topology, making existing solutions inapplicable. This paper considers the problem of optimal placement of a fixed number of facilities in a mobile edge network with an arbitrary tree topology and an arbitrary demand distribution. A low-complexity sequential algorithm is proposed and proved to be convergent and optimal in some cases. The complexity of the algorithm is shown to be $O(H^2{\gamma})$, where H is the height of the tree and ${\gamma}$ is the number of facilities. Simulation results confirm that the proposed algorithm is effective in producing near-optimal solutions.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제8권8호
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• pp.2881-2894
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• 2014

In complicated environment, context information plays an important role in image segmentation/labeling. The recently proposed auto-context algorithm is one of the effective context-based methods. However, the standard auto-context approach samples the context locations utilizing a fixed radius sequence, which is sensitive to large scale-change of objects. In this paper, we present a scale invariant auto-context (SIAC) algorithm which is an improved version of the auto-context algorithm. In order to achieve scale-invariance, we try to approximate the optimal scale for the image in an iterative way and adopt the corresponding optimal radius sequence for context location sampling, both in training and testing. In each iteration of the proposed SIAC algorithm, we use the current classification map to estimate the image scale, and the corresponding radius sequence is then used for choosing context locations. The algorithm iteratively updates the classification maps, as well as the image scales, until convergence. We demonstrate the SIAC algorithm on several image segmentation/labeling tasks. The results demonstrate improvement over the standard auto-context algorithm when large scale-change of objects exists.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2013년도 추계학술대회
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• pp.741-742
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• 2013

무선 센서 네트워크에서 효율적 데이터 전송을 위해서는 라우팅 프로토콜의 선택이 중요하다. AODV 라우팅 프로토콜은 소스 노드에서 목적지 노드까지의 홉 수가 가장 적은 경로를 선택하는 알고리즘으로 동작 원리가 단순한 반면, 홉수 외에는 다른 어떠한 것도 고려를 하지 않기 때문에 QoS 제공에는 적합하지 않다. 본 논문에서는 이러한 점을 보완하기 위해 각 링크의 전송 성공률을 고려한 AODV 알고리즘을 제안하고자 한다. 제안하는 알고리즘은 전송 성공률을 홉 수에 반영함으로써 기존의 AODV 알고리즘을 크게 변경시키지 않고 효율적으로 QoS 제공할 수 있다.