The objective of this research was to study the impact of metacognitive lesson models on the formation of magnetic field concepts. The subjects of this research was eighty students from two sixth grade classes. One class of forty of these students was the experimental group, which the metacognitive strategic lesson model was applied, and the other class of forty students was the control group which the traditional lessons were conducted. As the result of the experiment, the experimental group and the control group, which previously did not show difference in terms of achievement of conceptualizing magnetic field, displayed a significant difference. According to the comparison between the pre-experiment test on the students' previous concepts and the achievement of the students after the experiment, the middle group showed difference between the experimental group and the control group in a small degree. The lower group showed a notable difference between the two groups and the higher group showed no difference. In terms of achievements shown in different questions asked, there was little difference in the questions that were stated in the textbook while there was a significant difference in the questions that applied the contents of the textbook. The higher academic group, according to the test on the previous concepts, did not show much difference between the experimental group and the control group when they were asked about the concepts of the textbook. In terms of the comparison in the metacognitive levels, both the higher and lower metacognitive experimental groups' average grade was higher than the control groups' and showed an important statistical difference.
In recent years the monitoring of structural behavior through acquisition of vibrational data has become common practice. In addition, recent advances in sensor development have made the collection of diverse dynamic information feasible. Other than the commonly collected acceleration information, Global Position System (GPS) receivers and non-contact, optical techniques have also allowed for the synchronous collection of highly accurate displacement data. The fusion of this heterogeneous information is crucial for the successful monitoring and control of structural systems especially when aiming at real-time estimation. This task is not a straightforward one as measurements are inevitably corrupted with some percentage of noise, often leading to imprecise estimation. Quite commonly, the presence of noise in acceleration signals results in drifting estimates of displacement states, as a result of numerical integration. In this study, a new approach based on a time domain identification method, namely the Unscented Kalman Filter (UKF), is proposed for correcting the "drift effect" in displacement or rotation estimates in an online manner, i.e., on the fly as data is attained. The method relies on the introduction of artificial white noise (WN) observations into the filter equations, which is shown to achieve an online correction of the drift issue, thus yielding highly accurate motion data. The proposed approach is demonstrated for two cases; firstly, the illustrative example of a single degree of freedom linear oscillator is examined, where availability of acceleration measurements is exclusively assumed. Secondly, a field inspired implementation is presented for the torsional identification of a tall tower structure, where acceleration measurements are obtained at a high sampling rate and non-collocated GPS displacement measurements are assumed available at a lower sampling rate. A multi-rate Kalman Filter is incorporated into the analysis in order to successfully fuse data sampled at different rates.
This study intends to offer suggestions for improving the security and competitive power of traditional liquors by investing in the status of intellectual property rights. Merchandising and the marketing strategies of traditional liquor are also addressed. The data was collected through a questionnaire survey given to 101 CEOs of traditional liquor manufacturers. The major results of this study were as follows: The management types of traditional liquor manufacturers were classified as the company 57 (56.4%), the corporation or the union 29 (28.7%), domestic industry 10 (9.9%), and marketing community or technology center 5 (5.0%). The competitive power degree of traditional liquor products was classified as strength 30 (31.6%), usual 30 (31.6%), weakness 35 (36.8%). The elements of strong competitive power were taste, functional (wellbeing) character, and attractiveness of the brand name. On the other side, reasons for weakness in competitive power were the marketing system, price competitiveness, and advertisement. The trademark registration of the traditional liquor appeared with 53%. The reasons not to pursue a trademark registration included the complicated and unnecessary process of registration acquisition, high registration expenses, etc. The perceptions of CEOs about the consumer's brand awareness for their product were low with an average 2.97. Explanations included insufficient advertisement and public relations, unrefined trademark design, and the meaninglessness of brand names. The marketing strategy of traditional liquor manufacturers according to annual sales were as follows: Manufacturers with high sales emphasized marketing strategies that focused on functional character, traditional image, high quality in image and package materials and design, high price strategies based on quality, and various sale promotions.
Purpose: The aim of this study was to evaluate the reliability of the Vectra M3 (3D Imaging System; Canfield Scientific, Parsippany, NJ, USA) in detecting chin asymmetry, and to assess whether the automatic markerless tracking function is reliable compared to manually plotting landmarks. Materials and Methods: Twenty subjects (18 females and 2 males) with a mean age of 42.5±10.5 years were included. Three-dimensional image acquisition was carried out on all subjects with simulated chin deviation in 4 stages (1-4 mm). The images were analyzed by 2 independent observers through manually plotting landmarks and by Vectra software auto-tracking mode. Repeated-measures analysis of variance and the Tukey post-hoc test were performed to evaluate the differences in mean measurements between the 2 operators and the software for measuring chin deviation in 4 stages. The intraclass correlation coefficient (ICC) was calculated to estimate the intra- and inter-examiner reliability. Results: No significant difference was found between the accuracy of manually plotting landmarks between observers 1 and 2 and the auto-tracking mode (P=0.783 and P=0.999, respectively). The mean difference in detecting the degree of deviation according to the stage was <0.5 mm for all landmarks. Conclusion: The auto-tracking mode could be considered as reliable as manually plotted landmarks in detecting small chin deviations with the Vectra® M3. The effect on the soft tissue when constructing a known dental movement yielded a small overestimation of the soft tissue movement compared to the dental movement (mean value<0.5 mm), which can be considered clinically non-significant.
To improve and downsize the KIOM-Pulse Analysis System(KIOM-PAS), which has been traditionally used in clinical trials, a miniaturized PAS(M-PAS) with a pneumatic pump has been developed. M-PAS is composed of a measurement module and an arm-mounting module, on which an arm can be placed. The measurement module is equipped with a pressing component and sensor, which is a wearable wristband. The arm-mounting module includes a pneumatic motor, data acquisition board and valves. In addition, the measurement module is divided into a fixing module of band type for attachment to a pulsation site and a sensing module, which includes a sensor and a tube. The fixing module and sensing module are constructed independently, and the detachable fastening method improves the posture convenience of the subject during measurement. M-PAS has been reduced to 1/6 the size of KIOM-PAS, and the measurement time is shortened by 22%. Using a simulator, the difference between the waveforms measured by the two devices exhibited a high degree of similarity of within 3.65%. M-PAS represents improvements in size and convenience compared with KIOM-PAS, and it is expected to be widely used in clinics in the future because it improves the attachment method of the fixing module.
Kim, Jung-Yul;Honarmand, H.;Kim, Yoo-Sung;Nam, Ji-Yeon
Proceedings of the Korean Geotechical Society Conference
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2004.03b
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pp.509-516
/
2004
The measurement of abnormal change of temperature(temperature anomaly) will help determine the safety of various engineering constructions, as the measurement in body often used to diagnose one's health. Temperature anomaly can be occurred in leakage or seepage of water flow in rocks, and in ground water table etc. Grouting materials injected in fractured rocks generate heat during hardening process. The degree of temperature change is associated directly with heat flow characteristics, that is, thermal conductivity, specific heat capacity. density of the surrounding rocks and can afford to assess the grouting efficiency. However, in practice, the use of traditional temperature measuring technique composed of only one single thermal sensor has been fundamentally limited to acquire thermal data sufficient to use for that, partly due to the time-consuming measuring work, partly due to the non-consecutive quality of data. Thus, in this paper, a new concept of temperature measuring technique, what we call, thermal line sensor technique is introduced. In this, the sensors with an accuracy of $0.02^{\circ}$ are inserted at regular intervals in one line cable and addressed by a control device, which enables to fundamentally enhance the capability of data acquisition in time and space. This new technology has been demonstrated on diverse field model experiments. The results were simply meant to be illustrative of a potential to be used for various kinds of temperature measurements encountered in grouting and leakage problems.
I made a careful study of affective variables in foreign language learning Affective variables have not been adequately investigated in the study of second language acquisition. Egoism and inhibition are two egocentric factors which play important roles in foreign language learning. Three sociocultural variables. cultural factors, introversion / extroversion, and aggression may be keys to understanding the social nature of second language learning. And the emerging of cognition and affect in "cognitive styles", which vary within and among individuals, might account for varying degree of success in learning a second language. In the process of learning English. the students new to foreign language come to face the language barrier. though they express the deep interest and feel excited at the beginning stage. Of course, the several reasons can explain this fact. but more specially they can be explained in terms of such personal affective factors as age, aptitude, personality, and first of all, motivation. Also the socicultural factors between language and culture can be considered to the learner's aptitude toward the language. Affective factors of students are involved in personality. and personality and affective factors affect English learning. Affective variables of students affect the will to take part in English learning, and the rate of participation in English learning affect the fluency. If students feel inconvenience in English class, it is rarely that they run a risk. Students who do not run a risk in English class are short of spontaneous participation Consequently, it may have negative influence on the accuracy and the fluency of English. Therefore, teachers must be more influential in motivating students and specially attentive so that the students may not make the negative and inhibitive language learning attitude.
The objective of this study is to simulate the fracture behavior of composite structure bonded with more than 2 different cementitious materials. For this, concrete and cement were stacked and bonded in a direction perpendicular to loading and specimens were tested. Each constituent material of concrete and cement was fabricated independently also, and three point bending and indirect tensile tests were carried out for the acquisition of measured values applicable to the proposed model. As a result of comparing theoretical results and experimental ones, it was found that the proposed model derived from fictitious crack theory can be used to predict the fracture behavior of composite structures on the vases of well agreement with experimental results. It was also noted that the degree of improvement of fracture energies and strengths is greatly dependent on the stacking sequence of layers composing of a composite structure. Thus, it can be concluded that brittleness or ductility of a composite structure can be accomplished by a proper arrangement of layers on one's purpose throughout the proposed analysis.
Confirmation bias is well known to be the cause of widespread misjudgment in the field of forensic decision-making. In this study, we examined the psychological mechanisms by which confirmation bias affects intentionality judgment in serious injury and death cases that combine the moral characteristics of the perpetrator and victim differently. As a result, participants perceived the case as a more typical criminal case when both the perpetrator and victim were bad people, and gave higher intention to perpetrators' actions in these typical crimes. In particular, it was found that people with a high degree of confirmation bias highly judge the intention of the offenders in a consistent way with the stereotype of criminal cases. However, in serious criminal cases, the moderate effect of confirmation bias has disappeared and only the effect of crime typicality has existed. Finally, we discussed implications of this study and ways to reduce bias in intentionality judgment.
Journal of the Korea Institute of Information and Communication Engineering
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v.21
no.9
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pp.1818-1825
/
2017
An Acoustic Doppler Current Profiler(ADCP) measures the current velocity and analyzes the degree of turbulence using Doppler effects of ultrasonic waves. Therefore, the autocorrelation or FFT spectrum estimates are obtained for extraction of current velocity in each spatial region. However, if the correlation method does not satisfy the assumption that the return signal spectra are symmetric Gaussian, the large bias errors can occur. Also, the accurate estimation of autocorrelation or FFT spectrum is difficult due to the short acquisition interval when the rapid changes of current velocity occur. Thus, in this paper, the estimation method of the autoregressive spectrum peak is suggested for the accurate current velocity measurement of both symmetric and asymmetric spectra. It is shown that estimation quality can be improved using the suggested method comparing with the conventional methods. Many return signals under the various environment are simulated and the results are compared and analyzed for evaluation of the suggested method.
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