• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.1222-1227
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• 2005

In this paper, an efficient scheme of the adaptive notch filter is presented for rejecting the narrow bandwidth interferences(NBI) in GPS receiver. Designed is the lattice IIR double notch filter for more efficient suppression of the NBI with less computational complexity. The algorithm is of recursive prediction error form and uses a special constrained model of IIR with a minimal number of parameters. This paper chooses seven different jamming scenarios including one without jamming for evaluating the proposed filter algorithm. The simulation results to the jamming scenarios show that the proposed algorithm adjusts the double notch filter effectively for the given JSR, and provides better SNR than the conventional algorithms. Finally, it is shown that the advantages of the proposed filter algorithm can range as high as JSR 79dB in time domain processing. Also, the ADNF(adaptive double notch filter) guarantees that more than SNR 10dB of GPS receiver can be always maintained. In conclusion, there is enough evidence to believe that the proposed algorithm will perform quite well for removing interference signals.

• Korean Journal of Logic
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• v.18 no.2
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• pp.243-264
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• 2015

Roger White raised an objection, one based on Bayesianism, to the dogmatist view of perceptual justification. In his paper, "Perceptual Dogmatism and Bayesian Favoring", Ilho Park tries to show, contra Roger White, that there is no real conflict between Perceptual dogmatism and Bayesianian theory of confirmation. For this purpose, Park brings in the notions of the degree of confirmation and the favoring relation and argues that Bayesian theory, when properly understood, can yield results that are quite favorable to dogmatism. I don't think, however, that the devices that he employes actually deliver what he promises. The conflict is yet to be resolved. Probably, Bayesian theorists may be better off if they, instead of trying to resolve the conflict, consider the option of simply rejecting dogmatism.

• Journal of Korean Academy of Nursing
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• v.37 no.1
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• pp.52-63
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• 2007

Purpose: Effective communication is an essential aspect of nursing care. This qualitative study was performed to analyze nurse-patient conversations about medication. Method: The nurse-patient dialogue was collected by video tape recording during the nurse's duty time in an internal medicine ward. One hundred seventy-eight episodes were extracted from the conversation. Using conversational analysis, the functional phases and patterns of dialogue sequence pertaining to medication were analyzed. Results: Conversations about medication were very brief dialogues, so 68.8% of the dialogue had a duration of less than 20 seconds. However, it was a systematic and comprehensive dialogue which had structures and sequential dialogue patterns. Four functional phases were explored. greeting, identifying the patient, medicating, finishing. The medicating phase was essential, in which the nurse gave the drug to the patient and provided information initiated by the nurse simultaneously. The patterns of the dialogue sequence represented were the nurse provided information first, and then, patients responded to the nurse as accepting, rejecting, raising an objection, or asking again later. Conclusion: As the results of this study show, a nurse's role is important as an educator. For effective conversation about medication, the development of an educational program should be considered, which includes knowledge about medication and communication skills.

• Journal of architectural history
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• v.12 no.2 s.34
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• pp.61-69
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• 2003

Manfredo Tafuri's Ideological criticism in architecture has opened a new horizon to interpreting architecture in modern capitalist architecture for it views architecture not just as a style or formal invention, but in terms of socio-economical process. It offered a comprehensive understanding of a chaotic situation of contemporary architecture and historical meaning modern architectural movements in relation with capitalistic development. However, it has been criticized as architectural pessimism which does not allow any possibility for progressive architectural practice. It was also criticized of epistemological problem of how one could be outside ideology without assuming true consciousness against false consciousness of ideology. Tafuri solves this problem by assuming Althusserian activist concept of knowledge and suggest the concept of labor of writing history of critical historians, instead of a design for utopian society, as a possible critical architectural practice. However, I argue that ultimately ideological criticism does not deny architectural practice itself, nor researches on formal characteristics of architecture. The problem lies rather in the architectural Intellectuals' attachment to the traditional concept of architect as a form giver to the society. By rejecting this myth and broadening the concept of architectural practice from design to production, we can find that Ideological problem is not architectural pessimism, but rather it opens up a new way of approaching to the problem of architectural practice in modern capitalist society.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.55 no.12
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• pp.550-557
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• 2006

This paper proposes a dry-type surface myoelectric sensor for the myoelectric hand prosthesis. The designed surface myoelectric sensor is composed of skin interface and processing circuits. The skin interface has one reference and two input electrodes, and the reference electrode is located in the center of two input electrodes. In this paper is proposed two types of sensors with the circle- and bar-shaped reference electrode, but all input electrodes are the bar-shaped. The metal material of the electrodes is the stainless steel (SUS440) that endures sweat and wet conditions. Considering the conduction velocity and the median frequency of the myoelectric signal, the inter-electrode distance (IED) between two input electrodes as 18mm, 20mm, and 22mm is selected. The signal processing circuit consists of a differential amplifier with a band pass filter, a band rejection filter for rejecting 60Hz power-line noise, amplifiers, and a mean absolute value(MAV) circuit. Using SUS440, six prototype skin interface with different reference electrode shape and IED is fabricated, and their output characteristics are evaluated by output signal obtained from the forearm of a healthy subject. The experimental results show that the skin interface with parallel bar shape and the 18mm IED has a good output characteristics. The fabricated dry-type surface myoelectric sensor is evaluated for the upper-limb amputee.

• JSTS:Journal of Semiconductor Technology and Science
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• v.15 no.5
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• pp.437-444
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• 2015

In simulation-based circuit optimization, many simulation runs may be wasted while evaluating infeasible designs, i.e. the designs that do not meet the constraints. To avoid such a waste, this paper investigates the use of support vector machine (SVM) classifiers in predicting the design's feasibility prior to simulation and the optimal selection of the SVM parameters, namely, the Gaussian kernel shape parameter ${\gamma}$ and the misclassification penalty parameter C. These parameters affect the complexity as well as the accuracy of the model that SVM represents. For instance, the higher ${\gamma}$ is good for detailed modeling and the higher C is good for rejecting noise in the training set. However, our empirical study shows that a low ${\gamma}$ value is preferable due to the high spatial correlation among the circuit design candidates while C has negligible impacts due to the smooth and clean constraint boundaries of most circuit designs. The experimental results with an LC-tank oscillator example show that an optimal selection of these parameters can improve the prediction accuracy from 80 to 98% and model complexity by $10{\times}$.

• Journal of The Korean Association For Science Education
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• v.20 no.2
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• pp.288-296
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• 2000

In this study, the types and the characteristics of students' responses to anomalous data were investigated. The criteria for classifying students' responses were 'acceptance of validity of anomalous data', 'acceptance of inconsistency between anomalous data and initial theory', and 'change of belief in initial theory'. Seven types of responses were identified as follows: Rejection, reinterpretation, exclusion, uncertainty, peripheral theory change, partial belief change, and theory change. Absolute belief in the intial theory and doubts about methodological accuracy were found to be the major reasons for rejecting anomalous data. The students did not accept the inconsistency between anomalous data and initial theory because they ignored the experimental procedures and focused on the similarity of the experimental results.

• Aerospace Engineering and Technology
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• v.3 no.2
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• pp.104-115
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• 2004

In this study, contains Design and Simulation data for Tone filter applied to the KSLV-1 FTS Receiver. Received Signal contains unwanted Noise and Jitter which should be eliminated by any kind of filters. In the design of KSLV-1 FTS Receiver, two different type of filters are used. One is Low-Pass Filter for rejecting high order harmonics and another is Tone Filter for sorting pure original signal in the mixed demodulate Signals. For the purpose of this development, various kinds of filter are studied and simulated for finding adequate type of filter.

• Proceedings of the Korean Society of Medical Physics Conference
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• 2002.09a
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• pp.74-82
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• 2002

In Intensity Modulated Radiotherapy (IMRT), radiation is delivered in a multiple of Multileaf Collimator (MLC) subfields. A subfield with a small leaf-to-leaf opening is highly sensitive to a leaf-positional error. We introduce a method of identifying and rejecting IMRT plans that are highly sensitive to a systematic MLC gap error (sensitivity to possible random leaf-positional errors is not addressed here). There are two sources of a systematic MLC gap error: Centerline Mechanical Offset (CMO) and, in the case of a rounded end MLC, Radiation Field Offset (RFO). In IMRT planning system, using an incorrect value of RFO introduces a systematic error ΔRFO that results in all leaf-to-leaf gaps that are either too large or too small by (2ㆍΔRFO), whereas assuming that CMO is zero introduces systematic error ΔCMO that results in all gaps that are too large by ΔCMO = CMO. We introduce a concept of the Average Leaf Pair Opening (ALPO) that can be calculated from a dynamic MLC delivery file. We derive an analytic formula for a fractional average fluence error resulting from a systematic gap error of Δ$\chi$ and show that it is inversely proportional to ALPO; explicitly it is equal to, (equation omitted) in which $\varepsilon$ is generally of the order of 1 mm and Δx=2ㆍΔRFO+CMO. This analytic relationship is verified with independent numerical calculations.

• Structural Engineering and Mechanics
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• v.61 no.3
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• pp.359-370
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• 2017

This study presents a particle swarm optimization algorithm integrated with weighted particle concept and improved fly-back technique. The rationale behind this integration is to utilize the affirmative properties of these new terms to improve the search capability of the standard particle swarm optimizer. Improved fly-back technique introduced in this study can be a proper alternative for widely used penalty functions to handle existing constraints. This technique emphasizes the role of the weighted particle on escaping from trapping into local optimum(s) by utilizing a recursive procedure. On the other hand, it guaranties the feasibility of the final solution by rejecting infeasible solutions throughout the optimization process. Additionally, in contrast with penalty method, the improved fly-back technique does not contain any adjustable terms, thus it does not inflict any extra ad hoc parameters to the main optimizer algorithm. The improved fly-back approach, as independent unit, can easily be integrated with other optimizers to handle the constraints. Consequently, to evaluate the performance of the proposed method on solving the truss weight minimization problems with discrete variables, several benchmark examples taken from the technical literature are examined using the presented method. The results obtained are comparatively reported through proper graphs and tables. Based on the results acquired in this study, it can be stated that the proposed method (integrated particle swarm optimizer, iPSO) is competitive with other metaheuristic algorithms in solving this class of truss optimization problems.