• 제목/요약/키워드: Lead Length

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심한 소음환경에서 언어장애인 음성 인식률 향상을 위한 단어선정 방법 및 장치 개선에 관한 연구 (A Study on Word Selection Method and Device Improvement for Improving Speech Recognition Rate of Speech-Language-impaired in Severe Noise Environment)

  • 양기웅;이형근
    • 한국정보통신학회논문지
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    • 제23권5호
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    • pp.555-567
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    • 2019
  • 언어장애인, 언어 사용이 불편한 분들의 경우 조금의 잡음 환경에도 음성인식률이 저하되어 사회 생활시 어려움을 겪게 된다. 언어 사용 시 불편함을 장치로 개선시킴과 동시에, 언어 장애인의 발음 특성을 고려하여 단어 선정 시 자체 개선한 단어 선정 방법을 사용하여 280개 단어를 선정하였다. 실험에 사용된 MEMS 개발 장치는 재질, 유도선 종류, 길이, 방향을 고려하여 제작되었으며 잘못된 발음으로 인한 음성과 심한 소음에서 음성 인식률 향상을 위하여 개발된 MEMS 장치와 개발된 단어 선정 방법을 사용하여 개선시켰다. 개선 방법으론 새로운 단어 선정 방법과 mems 장치를 개선하여 진행하였으며 결과를 포함하였다.

Analytical Solutions for the Inelastic Lateral-Torsional Buckling of I-Beams Under Pure Bending via Plate-Beam Theory

  • Zhang, Wenfu;Gardner, Leroy;Wadee, M. Ahmer;Zhang, Minghao
    • 국제강구조저널
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    • 제18권4호
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    • pp.1440-1463
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    • 2018
  • The Wagner coefficient is a key parameter used to describe the inelastic lateral-torsional buckling (LTB) behaviour of the I-beam, since even for a doubly-symmetric I-section with residual stress, it becomes a monosymmetric I-section due to the characteristics of the non-symmetrical distribution of plastic regions. However, so far no theoretical derivation on the energy equation and Wagner's coefficient have been presented due to the limitation of Vlasov's buckling theory. In order to simplify the nonlinear analysis and calculation, this paper presents a simplified mechanical model and an analytical solution for doubly-symmetric I-beams under pure bending, in which residual stresses and yielding are taken into account. According to the plate-beam theory proposed by the lead author, the energy equation for the inelastic LTB of an I-beam is derived in detail, using only the Euler-Bernoulli beam model and the Kirchhoff-plate model. In this derivation, the concept of the instantaneous shear centre is used and its position can be determined naturally by the condition that the coefficient of the cross-term in the strain energy should be zero; formulae for both the critical moment and the corresponding critical beam length are proposed based upon the analytical buckling equation. An analytical formula of the Wagner coefficient is obtained and the validity of Wagner hypothesis is reconfirmed. Finally, the accuracy of the analytical solution is verified by a FEM solution based upon a bi-modulus model of I-beams. It is found that the critical moments given by the analytical solution almost is identical to those given by Trahair's formulae, and hence the analytical solution can be used as a benchmark to verify the results obtained by other numerical algorithms for inelastic LTB behaviour.

Synbiotics (mixture of probiotics and prebiotics) ameliorates DSS-induced ulcerative colitis in vivo.

  • Jeon, Yong-Deok;AYE, AYE;Song, Young-Jae;Kang, Sa-Haeng;Soh, Ju-Ryun;Kim, Dae-Ki;Myung, Hyun;Jin, Jong-Sik
    • 한국자원식물학회:학술대회논문집
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    • 한국자원식물학회 2019년도 추계학술대회
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    • pp.107-107
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    • 2019
  • Ulcerative colitis (UC) is one of inflammatory bowel disease (IBD), characterized by chronic inflammatory response and dysregulation of immune function. The severity of US has been influenced by environmental factors and food habit. The immune modulatory, anti-inflammatory and steroidal medicine have been used for the treatment of UC. However, long-term administration of those medicine is accompanied with side-effect. So, it is necessary to develop the non side-effect medicine using natural product. Prebiotics influences intestinal condition and food consumption. The heredity, immunity and environmental condition are related with occurrence of UC. In recent study, UC patients had lower level of prebiotics such as Lactobacillus and Bifidobacterium compared with healthy people. Also, previous study announced that imbalance of enteric flora aggravates the severity of UC. The effectiveness of probiotics might affect colon ability and viable bacteria also could promote the proliferation of beneficial intestinal bacteria. Prebiotics, such as herbal medicine, could lead to balance of intestinal bacteria or increase beneficial bacteria. So, proper choice of herbal medicine could control the intestinal condition. This study aimed to investigate the effect of mixture of probiotics and prebiotics (synbiotics) on dextran sulfate sodium (DSS)-induced UC in vivo. The synbiotics consist of Lactobacillus buchneri, Polymnia sonchifolia and Glycine max Merr. in this study. To evaluate the effect of synbiotics, 3% DSS was administered in BALB/c mice and synbiotics was daily administered for experimental days. The administration of synbiotics regulated colon length shortening, body weight change and disease activity index effectively. Also, extract of synbiotics upregulated survival ability of Lactobacillus buchneri in gut condition. These results suggest that mixture of probiotics and prebiotics, called as synbiotics, could influence intestinal condition also regulate the colon disease. Synbiotics might be a therapeutic agent for treatment of UC.

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개념적 수문분할모형의 보정에 미치는 수문기후학적 조건의 영향 (Effects of Hydro-Climate Conditions on Calibrating Conceptual Hydrologic Partitioning Model)

  • 최정현;서지유;원정은;이옥정;김상단
    • 한국물환경학회지
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    • 제36권6호
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    • pp.568-580
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    • 2020
  • Calibrating a conceptual hydrologic model necessitates selection of a calibration period that produces the most reliable prediction. This often must be chosen randomly, however, since there is no objective guidance. Observation plays the most important role in the calibration or uncertainty evaluation of hydrologic models, in which the key factors are the length of the data and the hydro-climate conditions in which they were collected. In this study, we investigated the effect of the calibration period selected on the predictive performance and uncertainty of a model. After classifying the inflows of the Hapcheon Dam from 1991 to 2019 into four hydro-climate conditions (dry, wet, normal, and mixed), a conceptual hydrologic partitioning model was calibrated using data from the same hydro-climate condition. Then, predictive performance and post-parameter statistics were analyzed during the verification period under various hydro-climate conditions. The results of the study were as follows: 1) Hydro-climate conditions during the calibration period have a significant effect on model performance and uncertainty, 2) calibration of a hydrologic model using data in dry hydro-climate conditions is most advantageous in securing model performance for arbitrary hydro-climate conditions, and 3) the dry calibration can lead to more reliable model results.

New composite traits for joint improvement of milk and fertility trait in Holstein dairy cow

  • Ghiasi, Heydar;Piwczynski, Dariusz;Sitkowska, Beata;Gonzalez-Recio, Oscar
    • Animal Bioscience
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    • 제34권8호
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    • pp.1303-1308
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    • 2021
  • Objective: The objective of this study was to define a new composite trait for Holstein dairy cows and evaluate the possibility of joint improvement in milk and fertility traits. Methods: A data set consisting 35,882 fertility related records (days open [DO], calving interval [CI], and number of services per conception [NSC], and total milk yield in each lactation [TMY]) was collected from 1998 to 2016 in Polish Holstein-Friesian breed herds. In this study TMY, DO, CI, and lactation length of each cow was used to obtain composite milk and fertility traits (CMF). Results: Moderate heritability (0.15) was estimated for composite trait that was higher than heritability of female fertility related traits: DO 0.047, CI 0.042, and NSC 0.014, and slightly lower than heritability of TMY 0.19. Favourable genetic correlations (-0.87) were estimated between CMF with TMY. Spearman rank correlation coefficients between breeding value of CMF with DO, CI, and TMY were high (>0.94) but with NSC were moderate (0.64). Selection on CMF caused favourable correlated genetic gains for DO, CI, and TMY. Different selection indices with different emphasis on fertility and milk production were constructed. The amount of correlated genetic gains obtained for DO and total milk production according to selection in CMF were higher than of genetic gains obtained for DO and TMY in selection indices with different emphasis on milk and fertility. Conclusion: The animal selection only based on a composite trait - CMF proposed in current study would simultaneously lead to favourable genetic gains for both milk and fertility related traits. In this situation CMF introduced in current study can be used to overcome to limitations of selection index and CMF could be useful for countries that have problems in recording traits, especially functional traits.

Long-Term Monitoring of the Barrier Effect of the Wild Boar Fence

  • Lim, Sang Jin;Kwon, Ji Hyun;Namgung, Hun;Park, Joong Yeol;Kim, Eui Kyeong;Park, Yung Chul
    • Journal of Forest and Environmental Science
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    • 제38권2호
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    • pp.128-132
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    • 2022
  • Wild boars (Sus scrofa) not only cause crop damage and human casualties, but also facilitate the spread of many infectious diseases in domestic animals and humans. To determine the efficiency of a fencing system in blocking the movement of wild boars, long-term monitoring was performed in a fenced area in Bukhansan National Park using camera traps. Upon monitoring for a period of 46 months, there was a 72.6% reduction in the number of wild boar appearances in the fence-enclosed area, compared to that in the unenclosed area. For 20 months after the fence installation, the blocking effect of the fence was effective enough to reduce the appearance of wild boars by 92.6% in the fence-enclosed area, compared to that in the unenclosed area. The blocking effect of the fence remained effective for 20 months after its installation, after which its effectiveness decreased. Maintaining a fence for a long time is likely to lead to habitat fragmentation. It can also block the movement of other wild animals, including the endangered species - the long-tailed goral. This study suggests a 20-month retention period for the fences installed to inhibit the movement of wild boars in wide forests such as Gangwon-do in South Korea. To identify how long the blocking effect of the fences lasts, further studies are needed focusing on the length and height of the fence, and the conditions of the ground surface.

저회의 시용수준에 따른 상추의 생육 및 납 흡수 특성 평가 (Evaluation of Growth Characteristics and Lead Uptake of Lettuce under different application levels of Bottom Ash)

  • 조한나;이승규;김소희;윤진주;박재혁;조주식;강세원
    • 한국환경농학회지
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    • 제41권3호
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    • pp.185-190
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    • 2022
  • BACKGROUND: Most of the bottom ash(BA) from wood pellet-based thermal power plants that is not recycled is placed into landfill. BA has a function and structure similar to biochar. Hence, BA is classified as waste, but, it is predicted that BA can be used agricultural utilization. METHODS AND RESULTS: To investigate the effect of BA application on lettuce, growth characteristics and Pb contents were examined with BA application levels(0, 1, 2, 3 and 4 g/L), respectively, in hydroponic cultivation with Pb solution. Irrespective with BA application levels, the length, leaf number and fresh weight of lettuce in BA treatments were increased by 84.3~120, 36.2~39.0, and 215~322%, respectively, compared to the BA-0 treatment. The groups with BA treatments, Pb in the nutrient solution was adsorbed to the BA due to the surface area and functional groups of the BA, and the lettuce growth was maintained more smoothly than in the BA-0 treatment. BA application is considered to have created a favorable environment for lettuce growth in hydroponic cultivation with Pb solution. CONCLUSION(S): Although direct comparing the removal effect of heavy metal between BA and biochar is not present, the BA application in contaminated area suggested a significant meaning on the recycling waste, and increasing potential crop productivity by immobilizing heavy metal.

Reynolds number and scale effects on aerodynamic properties of streamlined bridge decks

  • Ma, Tingting;Feng, Chaotian
    • Wind and Structures
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    • 제34권4호
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    • pp.355-369
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    • 2022
  • Section model test, as the most commonly used method to evaluate the aerostatic and aeroelastic performances of long-span bridges, may be carried out under different conditions of incoming wind speed, geometric scale and wind tunnel facilities, which may lead to potential Reynolds number (Re) effect, model scaling effect and wind tunnel scale effect, respectively. The Re effect and scale effect on aerostatic force coefficients and aeroelastic characteristics of streamlined bridge decks were investigated via 1:100 and 1:60 scale section model tests. The influence of auxiliary facilities was further investigated by comparative tests between a bare deck section and the deck section with auxiliary facilities. The force measurement results over a Re region from about 1×105 to 4×105 indicate that the drag coefficients of both deck sections show obvious Re effect, while the pitching moment coefficients have weak Re dependence. The lift coefficients of the smaller scale models have more significant Re effect. Comparative tests of different scale models under the same Re number indicate that the static force coefficients have obvious scale effect, which is even more prominent than the Re effect. Additionally, the scale effect induced by lower model length to wind tunnel height ratio may produce static force coefficients with smaller absolute values, which may be less conservative for structural design. The results with respect to flutter stability indicate that the aerodynamic-damping-related flutter derivatives 𝘈*2 and 𝐴*1𝐻*3 have opposite scale effect, which makes the overall scale effect on critical flutter wind speed greatly weakened. The most significant scale effect on critical flutter wind speed occurs at +3° wind angle of attack, which makes the small-scale section models give conservative predictions.

WPTS BLE 비콘 기반 센서 네트워크 구축 방안 연구 (Study on the Building Method of a Sensor Network based on BLE Beacons with WPTS)

  • 장호덕
    • 한국정보전자통신기술학회논문지
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    • 제15권1호
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    • pp.8-13
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    • 2022
  • 본 논문에서는 RF (Radio Frequency) 에너지 하베스팅 센서 노드의 설계 방안과 CATV 망과 누설 동축 케이블 (leaky coaxial cable)을 활용한 센서 네트워크 구축 방안을 연구하였다. 센서 노드는 915MHz 주파수 대역에서 동작하는 WPTS (Wireless Power Transfer System) 전력 수신기로 전원공급부를 설계하였다. WOC (WiFi over Coax) 기술을 활용하여 CATV 망으로 센서의 BLE 무선통신 신호와 WPTS 전력 송신기 신호를 전송하고, 누설 동축 케이블로 RF 신호를 방사시키는 센서 네트워크 구축 방안을 제안하였다. 센서 네트워크를 구축하는 지점에 누설 동축 케이블을 활용하면 센서 노드의 수신 신호 강도 지표가 허용되는 최소값 (-78dBm)을 만족하는 지점까지 센서 네트워크의 커버리지를 확장할 수 있다.

Malware Detection Using Deep Recurrent Neural Networks with no Random Initialization

  • Amir Namavar Jahromi;Sattar Hashemi
    • International Journal of Computer Science & Network Security
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    • 제23권8호
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    • pp.177-189
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    • 2023
  • Malware detection is an increasingly important operational focus in cyber security, particularly given the fast pace of such threats (e.g., new malware variants introduced every day). There has been great interest in exploring the use of machine learning techniques in automating and enhancing the effectiveness of malware detection and analysis. In this paper, we present a deep recurrent neural network solution as a stacked Long Short-Term Memory (LSTM) with a pre-training as a regularization method to avoid random network initialization. In our proposal, we use global and short dependencies of the inputs. With pre-training, we avoid random initialization and are able to improve the accuracy and robustness of malware threat hunting. The proposed method speeds up the convergence (in comparison to stacked LSTM) by reducing the length of malware OpCode or bytecode sequences. Hence, the complexity of our final method is reduced. This leads to better accuracy, higher Mattews Correlation Coefficients (MCC), and Area Under the Curve (AUC) in comparison to a standard LSTM with similar detection time. Our proposed method can be applied in real-time malware threat hunting, particularly for safety critical systems such as eHealth or Internet of Military of Things where poor convergence of the model could lead to catastrophic consequences. We evaluate the effectiveness of our proposed method on Windows, Ransomware, Internet of Things (IoT), and Android malware datasets using both static and dynamic analysis. For the IoT malware detection, we also present a comparative summary of the performance on an IoT-specific dataset of our proposed method and the standard stacked LSTM method. More specifically, of our proposed method achieves an accuracy of 99.1% in detecting IoT malware samples, with AUC of 0.985, and MCC of 0.95; thus, outperforming standard LSTM based methods in these key metrics.