• Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
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• v.11 no.1
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• pp.69-75
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• 2000

Background and Objectives : The Voice Range Profile(VRP) is a two-dimensional graphic dysplay of an individual's amplitude range as a function of total fundamental frequency range. It is designed as a maximum performance test which can be used as a general indicator of voice problems in the non-professional voice and as a sensitive indicator of problems with the professional voice. The purpose of the study is to obtain a baseline VRT for the classical professional singers and compare it with the normal nonsinger's profile. We also compared the difference of VRP between the classical professional singers who have normal vocal fold and who have vocal folds lesions without dysphonia. Materials and Methods : The VRPs were elicited. from 42 trained classical singers(Soprano 26, Mesosoprano 5, Tenor 9, Bariton 2) and 20 untrained nonsingers(female 10, male 10) using Voice Range Profile Model 4326(Kay Elemetrics USA). The mean values for phonational range with highest and lowest pitch level and range of voice intensity with maximum and minimum intensity level were compared between classical singers and nonsingers. Results and Conclusions : The frequency range and dynamic range were significantly increased for the classical singers in comparison to the nonsingers. But there was no significant difference were found for the VRP between the parts in the classical singers. The classical singers who have vocal fold lesions showed slightly decreased VRP compared to those with healthy vocal folds.

• International Journal of Fluid Machinery and Systems
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• v.2 no.4
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• pp.363-374
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• 2009

The 2D flow around 13 similar stay-vane profiles with different trailing edge geometries is investigated to determinate the main characteristics of the excitation forces for each one of them and their respective dynamic behaviors when modeled as a free-oscillating system. The main goal is avoid problems with cracks of hydraulic turbines components. A stay vane profile with a history of cracks was selected as the basis for this work. The commercial finite-volume code $FLUENT^{(R)}$ was employed in the simulations of the stationary profiles and, then, modified to take into account the transversal motion of elastically mounted profiles with equivalent structural stiffness and damping. The k-$\omega$ SST turbulence model is employed in all simulations and a deforming mesh technique used for models with profile motion. The static-model simulations were carried out for each one of the 13 geometries using a constant far field flow velocity value in order to determine the lift force oscillating frequency and amplitude as a function of the geometry. The free-oscillating stay-vane simulations were run with a low mass-damping parameter ($m^*{\xi}=0.0072$) and a single mean flow velocity value (5m/s). The structural bending stiffness of the stay-vane is defined by the Reduced Velocity parameter (Vr). The dynamic analyses were divided into two sets. The first set of simulations was carried out only for one profile with $2{\leq}Vr{\leq}12$. The second set of simulations focused on determining the behavior of each one of the 13 profiles in resonance.

• Journal of Korea Society of Industrial Information Systems
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• v.25 no.2
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• pp.39-47
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• 2020

This paper introduces a novel system-level framework that derives energy efficient electric vehicle (EV) driving speed profile to extend EV driving range without additional cost. This paper first implements an EV power train model considering forces acting on a driving vehicle and motor efficiency. Then, it derivate the minimum-energy driving speed profile for a given driving mission defined by the route. This framework first formulates an optimization problem and uses the dynamic programming algorithm with a weighting factor to derive a speed profile minimizing both of energy consumption and driving time. This paper introduces various weighting factor tracking methods to satisfy the driving time constraint. Simulation results show that runtime of the proposed scaling algorithm is 34% and 50% smaller than those of the binary search algorithm and greedy algorithm, respectively.

• Journal of the Society of Naval Architects of Korea
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• v.60 no.3
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• pp.202-211
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• 2023

The profile shops in shipyards produce section steels required for block production of ships. Due to the limitations of shipyard's production capacity, a considerable amount of work is already outsourced. In addition, the need to improve the productivity of the profile shops is growing because the production volume is expected to increase due to the recent boom in the shipbuilding industry. In this study, a scheduling optimization was conducted for a parallel welding line of the profile process, with the aim of minimizing tardiness and the number of set-up changes as objective functions to achieve productivity improvements. In particular, this study applied a dynamic scheduling method to determine the job sequence considering variability of processing time. A Markov decision process model was proposed for the job sequence problem, considering the trade-off relationship between two objective functions. Deep reinforcement learning was also used to learn the optimal scheduling policy. The developed algorithm was evaluated by comparing its performance with priority rules (SSPT, ATCS, MDD, COVERT rule) in test scenarios constructed by the sampling data. As a result, the proposed scheduling algorithms outperformed than the priority rules in terms of set-up ratio, tardiness, and makespan.

• Smart Structures and Systems
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• v.15 no.4
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• pp.1085-1101
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• 2015

Changes in substructure conditions, such as ballast fouling and subgrade settlement may cause the railway quality deterioration, including the differential geometry of the rails. The objective of this study is to develop and apply a hybrid cone penetrometer (HCP) to characterize the railway substructure. The HCP consists of an outer rod and an inner mini cone, which can dynamically and statically penetrate the ballast and the subgrade, respectively. An accelerometer and four strain gauges are installed at the head of the outer rod and four strain gauges are attached at the tip of the inner mini cone. In the ballast, the outer rod provides a dynamic cone penetration index (DCPI) and the corrected DCPI (CDCPI) with the energy transferred into the rod head. Then, the inner mini cone is pushed to estimate the strength of the subgrade from the cone tip resistance. Laboratory application tests are performed on the specimen, which is prepared with gravel and sandy soil. In addition, the HCP is applied in the field and compared with the standard dynamic cone penetration test. The results from the laboratory and the field tests show that the cone tip resistance is inversely proportional to the CDCPI. Furthermore, in the subgrade, the HCP produces a high-resolution profile of the cone tip resistance and a profile of the CDCPI in the ballast. This study suggests that the dynamic and static penetration tests using the HCP may be useful for characterizing the railway substructure.

• Proceedings of the KSR Conference
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• 2005.05a
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• pp.586-590
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• 2005

In order to compare the dynamic loading effects of particular trains it is necessary to use methodology that separates the two inherent aspects of the dynamic response of the total dynamic system-the characteristics of the train and a bridge. Because the train signature profile is a function of axle spacing and axle loads, it can be calculated which is independent of the characteristics of an individual bridge. Thus the use of the train signature enables a rapid comparison of the effects of different trains to be made. If the magnitude of train signature for a new train type is less than of existing trains on a route then the route will be satisfactory for the new train. This study presents a quantitative analysis of the dynamic loading effects for various domestic real trains-PMC8, PMC16, Mugunhwa passenger coach, several freight coach, KTX and TTX(Tilting Train Express)- Using the train signature.

• Proceedings of the KSR Conference
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• 2008.11b
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• pp.1426-1434
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• 2008

This paper addresses the numerical study on the dynamics of the High-speed EMU to enhance the ride quality. The 17 and 34 degrees-of-freedom (DOF) dynamic models for a single railway vehicle are proposed, and its vibrational characteristics according to the nonuniform rail profile are analyzed via Matlab. The validity of the proposed 34-DOF model are verified by comparing its dynamic characteristics and those from ADAMS/Rail. In addition, the critical dynamic parameters are identified by the parametric analysis, and rough design variables to reduce the vibration level of the railway vehicle are proposed. Finally, the frequency analysis - FFT - are conducted to extract the resonant frequencies, which have a significant influence on the determination of the critical speed of the railway vehicle. It is demonstrated that the results from the Matlab-based numerical analysis of the 34-DOF dynamic model are similar to those from ADAMS/Rail.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2001.11a
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• pp.282-287
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• 2001

The test facility has been manufactured to predict the dynamic insertion loss and the pressure drop for ducted silencers based on ISO 7235. The qualification test of the test facility is necessary for determining the dynamic insertion loss and the pressure drop of the test silencer, and is surveyed the reflection coefficient for an anechoic termination, the velocity profile near the upstream connection to the test silencer, the reduction of the system silencer and the limiting insertion loss due to the flanking sound transmission along the duct walls.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.14 no.2
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• pp.122-129
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• 2014

Effective information gathering and retrieval of the most relevant web documents on the topic of interest is difficult due to the large amount of information that exists in various formats. Current information gathering and retrieval techniques are unable to exploit semantic knowledge within documents in the "big data" environment; therefore, they cannot provide precise answers to specific questions. Existing commercial big data analytic platforms are restricted to a single data type; moreover, different big data analytic platforms are effective at processing different data types. Therefore, the development of a common big data platform that is suitable for efficiently processing various data types is needed. Furthermore, users often possess more than one intelligent device. It is therefore important to find an efficient preference profile construction approach to record the user context and personalized applications. In this way, user needs can be tailored according to the user's dynamic interests by tracking all devices owned by the user.

• The Transactions of the Korean Institute of Electrical Engineers C
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• v.53 no.3
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• pp.157-161
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• 2004

We present a simple analytical expression of plasma density by making use of the electron density equation to study the dynamic behavior of the corona discharge plasma. It assumes that a specified voltage profile is fed through the inner conductor of the reactor chamber consisting of two coaxial conducting cylinders. The analytical description is based on the electron continuity equation with ionization and attachment by electrons. It is found that the electron density profile calculated between two coaxial cylindrical electrodes depends very sensitively on the Profile of applied voltage. The analytical expression of plasma density and its generation will provide important scaling laws in the corona discharge plasma.