• Title/Summary/Keyword: air-classification

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A study on the Thermal Conductivity of Kaolin in Korea (우리나라 고령토의 열전도계수에 관한 연구)

  • Pak, H.Y.;Lee, H.J.;Kang, Kun
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.1 no.2
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    • pp.162-172
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    • 1989
  • The steady one dimensional heat flow method was used for the measurement of thermal conductivity of kaolin. The effects of the classification, density and moisture content on the thermal conductivity were studied experimentally for the 9 classes of kaolin in Korea. As the results of this study, it was found that the classification did not effect the thermal conductivity, and the conductivity increased as the density and moisture content increased. The correlation equation of the thermal conductivity as a function of the density increase rate was found and the values for the thermal conductivity as a function of moisture content were recommended.

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Verification Model of the Feedwater Flow for the Calculation of Corrective Performance of Turbine Cycle (터빈 사이클의 보정 성능 계산을 위한 급수 유량의 검증 모델)

  • Kim, Seong-Kun;Yang, Hac-Jin;Lee, Kang-Hee;Choi, Kwang-Hee
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.24 no.6
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    • pp.538-544
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    • 2012
  • Analysis of thermal performance is required for the economic operation of turbine cycle of power plant. We developed corrective model of main feed water flow which is the most important parameter for the precise analysis of turbine cycle performance. Classification model for the identification of feed water flow measurement status was applied to increase the suitability of the corrective model. We used neural network and support vector machine to develop estimation model of main feed water flow with more generalization capability. The estimation model can be used practically to evaluate corrective performance of turbine cycle plant.

New Unsupervised Classification Technique for Polarimetric SAR Images

  • Oh, Yi-Sok;Lee, Kyung-Yup;Jang, Ge-Ba
    • Korean Journal of Remote Sensing
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    • v.25 no.3
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    • pp.255-261
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    • 2009
  • A new polarimetric SAR image classification technique based on the degree of polarization (DoP) and the co-polarized phase-difference (CPD) is presented in this paper. Since the DoP and the CPD of a scattered wave provide information on the randomness of the scattering and the type of scattering mechanisms, at first, the statistics of the DoP and CPD are examined with measured polarimetric SAR image data. Then, a DoP-CPD diagram with appropriate boundaries between six different classes is developed based on the SAR image. The classification technique is verified using the JPL AirSAR and ALOS PALSAR polarimetric data. The technique may have capability to classify an SAR image into six major classes; a bare surface, a village, a crown-layer short vegetation canopy, a trunk-layer short vegetation canopy, a crown-layer forest, and a trunk-dominated forest.

Selection of features and hidden Markov model parameters for English word recognition from Leap Motion air-writing trajectories

  • Deval Verma;Himanshu Agarwal;Amrish Kumar Aggarwal
    • ETRI Journal
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    • v.46 no.2
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    • pp.250-262
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    • 2024
  • Air-writing recognition is relevant in areas such as natural human-computer interaction, augmented reality, and virtual reality. A trajectory is the most natural way to represent air writing. We analyze the recognition accuracy of words written in air considering five features, namely, writing direction, curvature, trajectory, orthocenter, and ellipsoid, as well as different parameters of a hidden Markov model classifier. Experiments were performed on two representative datasets, whose sample trajectories were collected using a Leap Motion Controller from a fingertip performing air writing. Dataset D1 contains 840 English words from 21 classes, and dataset D2 contains 1600 English words from 40 classes. A genetic algorithm was combined with a hidden Markov model classifier to obtain the best subset of features. Combination ftrajectory, orthocenter, writing direction, curvatureg provided the best feature set, achieving recognition accuracies on datasets D1 and D2 of 98.81% and 83.58%, respectively.

An Aerodynamic and Acoustic Analysis of the Breathy Voice of Thyroidectomy Patients (갑상선 수술 후 성대마비 환자의 기식 음성에 대한 공기역학적 및 음향적 분석)

  • Kang, Young-Ae;Yoon, Kyu-Chul;Kim, Jae-Ock
    • Phonetics and Speech Sciences
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    • v.4 no.2
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    • pp.95-104
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    • 2012
  • Thyroidectomy patients may have vocal paralysis or paresis, resulting in a breathy voice. The aim of this study was to investigate the aerodynamic and acoustic characteristics of a breathy voice in thyroidectomy patients. Thirty-five subjects who have vocal paralysis after thyroidectomy participated in this study. According to perceptual judgements by three speech pathologists and one phonetic scholar, subjects were divided into two groups: breathy voice group (n = 21) and non-breathy voice group (n = 14). Aerodynamic analysis was conducted by three tasks (Voicing Efficiency, Maximum Sustained Phonation, Vital Capacity) and acoustic analysis was measured during Maximum Sustained Phonation task. The breathy voice group had significantly higher subglottal pressure and more pathological voice characteristics than the non breathy voice group. Showing 94.1% classification accuracy in result logistic regression of aerodynamic analysis, the predictor parameters for breathiness were maximum sound pressure level, sound pressure level range, phonation time of Maximum Sustained Phonation task and Pitch range, peak air pressure, and mean peak air pressure of Voicing Efficiency task. Classification accuracy of acoustic logistic regression was 88.6%, and five frequency perturbation parameters were shown as predictors. Vocal paralysis creates air turbulence at the glottis. It fluctuates frequency-related parameters and increases aspiration in high frequency areas. These changes determine perceptual breathiness.

Using multi-sensor for Development of Multiple Occupants' Activities Classification Model Based on LSTM (다중센서를 활용한 LSTM 기반 재실자 행동 분류 모델 개발)

  • Jin Su Park;Chul Seung Yang;Kyung-Ho Kim
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.6
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    • pp.1065-1071
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    • 2023
  • In this paper discuss with research developing an LSTM model for classifying the behavior of occupants within a residence. The multi-sensor consists of an IAQ (Indoor Air Quality) sensor that measures indoor air quality, a UWB radar that tracks occupancy detection and location, and a Piezo sensor to measure occupants' biometric information, and collects occupant behavior data such as going out, staying, cooking, cleaning, exercise, and sleep by constructed an experimental environment similar to the actual residential environment. After the data with removed outliers and missing, the LSTM model is used to calculate accuracy, sensitivity, specificity of the occupant behavior classification model, T1 score.

Wireless DDoS Attack Detection and Prevention Mechanism using Packet Marking and Traffic Classification on Integrated Access Device (IAD 기반 패킷 마킹과 유무선 트래픽 분류를 통한 무선 DDoS 공격 탐지 및 차단 기법)

  • Jo, Je-Gyeong;Lee, Hyung-Woo;Park, Yeoung-Joon
    • The Journal of the Korea Contents Association
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    • v.8 no.6
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    • pp.54-65
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    • 2008
  • When DDoS attack is achieved, malicious host discovering is more difficult on wireless network than existing wired network environment. Specially, because wireless network is weak on wireless user authentication attack and packet spoofing attack, advanced technology should be studied in reply. Integrated Access Device (IAD) that support VoIP communication facility etc with wireless routing function recently is developed and is distributed widely. IAD is alternating facility that is offered in existent AP. Therefore, advanced traffic classification function and real time attack detection function should be offered in IAD on wireless network environment. System that is presented in this research collects client information of wireless network that connect to IAD using AirSensor. And proposed mechanism also offers function that collects the wireless client's attack packet to monitoring its legality. Also the proposed mechanism classifies and detect the attack packet with W-TMS system that was received to IAD. As a result, it was possible for us to use IAD on wireless network service stably.

Study on Reduction Unburned Carbon Contents in Low Quality Fly Ash from Vietnam (베트남 저품위 비산재의 미연탄소 함량 저감 연구)

  • Kim, Keeseok;Lee, Jaewon;Lee, Dongwon;Min, Kyongnam
    • Resources Recycling
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    • v.29 no.2
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    • pp.37-47
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    • 2020
  • According to Vietnam government establishes additional thermal power plant, processing the coal ash from power plant is urgent issue. This study targeted reducing unburned carbon contents in low quality fly ash to below 6% that according to international standards. As a result, the unburned carbon contents of low quality fly ash was high and irregular as 5.3~23.6%, and it was possible to reduce unburned cabon contents to under 6%, in case of unburned carbon contents below 9.8% ashes using air classification, in case of unburned carbon contents below 23.6% ashes using combined process composed of air classification and electrostatic separation.

Evolutionary Design for Multi-domain Engineering System - Air Pump Redesign

  • Seo, Ki-Sung
    • Journal of the Korean Institute of Intelligent Systems
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    • v.16 no.2
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    • pp.228-233
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    • 2006
  • This paper introduces design method for air pump system using bond graph and genetic programming to maximize outflow subject to a constraint specifying maximum power consumption. The air pump system is a mixed domain system which includes electromagnetic, mechanical and pneumatic elements. Therefore an appropriate approach for a better system for synthesis is required. Bond graphs are domain independent, allow free composition, and are efficient for classification and analysis of models. Genetic programming is well recognized as a powerful tool for open-ended search. The combination of these two powerful methods, BG/GP, was tested for redesign of air pump system.