• 제목/요약/키워드: performance enhancement

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중소기업의 자격부여형 일학습병행제 참여가 근로자의 직무능력 향상에 미치는 영향 (A Study on the Effect of Participation in Work and Learning Dual System of Small Businesses on Employees' Job Competency Enhancement)

  • 김은수;임상호
    • 산업진흥연구
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    • 제1권2호
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    • pp.95-101
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    • 2016
  • 본 연구는 중소기업의 자격부여형 일학습병행제 참여가 근로자의 직무능력 향상에 미치는 영향을 분석하였다. 연구결과 일학습병행제의 교육형태 중 수행평가가 근로자의 직무능력 향상에 유의한(p<.001, ${\beta}=.514$) 영향을 미쳤으며 직급에 따른 일학습병행제 효과 인식에 차이가 나타났다. 결론적으로 중소기업의 자격부여형 일학습병행제 참여 시 수행평가가 근로자의 직무역량 향상에 긍정적인 영향을 미치고 있으므로 기존 학습과정에서 대표적으로 운영되는 집체식 교육훈련이나 현장훈련만큼 수행평가의 효과성을 중요하게 인식하고 프로그램에 적극적으로 포함시킬 필요가 있다고 제안할 수 있다. 본 연구는 중소기업의 자격부여형 일학습병행제 참여가 근로자의 직무능력 향상에 미치는 영향을 분석함으로써 일학습병행제 참여의 성과 분석에 관한 연구의 폭을 넓히고 학습형태에 따른 효과성을 규명한 데 연구의 의의가 있다.

Representative Batch Normalization for Scene Text Recognition

  • Sun, Yajie;Cao, Xiaoling;Sun, Yingying
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제16권7호
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    • pp.2390-2406
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    • 2022
  • Scene text recognition has important application value and attracted the interest of plenty of researchers. At present, many methods have achieved good results, but most of the existing approaches attempt to improve the performance of scene text recognition from the image level. They have a good effect on reading regular scene texts. However, there are still many obstacles to recognizing text on low-quality images such as curved, occlusion, and blur. This exacerbates the difficulty of feature extraction because the image quality is uneven. In addition, the results of model testing are highly dependent on training data, so there is still room for improvement in scene text recognition methods. In this work, we present a natural scene text recognizer to improve the recognition performance from the feature level, which contains feature representation and feature enhancement. In terms of feature representation, we propose an efficient feature extractor combined with Representative Batch Normalization and ResNet. It reduces the dependence of the model on training data and improves the feature representation ability of different instances. In terms of feature enhancement, we use a feature enhancement network to expand the receptive field of feature maps, so that feature maps contain rich feature information. Enhanced feature representation capability helps to improve the recognition performance of the model. We conducted experiments on 7 benchmarks, which shows that this method is highly competitive in recognizing both regular and irregular texts. The method achieved top1 recognition accuracy on four benchmarks of IC03, IC13, IC15, and SVTP.

Diagnostic Accuracy of Magnetic Resonance Imaging Features and Tumor-to-Nipple Distance for the Nipple-Areolar Complex Involvement of Breast Cancer: A Systematic Review and Meta-Analysis

  • Jung Hee Byon;Seungyong Hwang;Hyemi Choi;Eun Jung Choi
    • Korean Journal of Radiology
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    • 제24권8호
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    • pp.739-751
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    • 2023
  • Objective: This systematic review and meta-analysis evaluated the accuracy of preoperative breast magnetic resonance imaging (MRI) features and tumor-to-nipple distance (TND) for diagnosing occult nipple-areolar complex (NAC) involvement in breast cancer. Materials and Methods: The MEDLINE, Embase, and Cochrane databases were searched for articles published until March 20, 2022, excluding studies of patients with clinically evident NAC involvement or those treated with neoadjuvant chemotherapy. Study quality was assessed using the Quality Assessment of Diagnostic Accuracy Studies 2 tool. Two reviewers independently evaluated studies that reported the diagnostic performance of MRI imaging features such as continuity to the NAC, unilateral NAC enhancement, non-mass enhancement (NME) type, mass size (> 20 mm), and TND. Summary estimates of the sensitivity and specificity curves and the summary receiver operating characteristic (SROC) curve of the MRI features for NAC involvement were calculated using random-effects models. We also calculated the TND cutoffs required to achieve predetermined specificity values. Results: Fifteen studies (n = 4002 breast lesions) were analyzed. The pooled sensitivity and specificity (with 95% confidence intervals) for NAC involvement diagnosis were 71% (58-81) and 94% (91-96), respectively, for continuity to the NAC; 58% (45-70) and 97% (95-99), respectively, for unilateral NAC enhancement; 55% (46-64) and 83% (75-88), respectively, for NME type; and 88% (68-96) and 58% (40-75), respectively, for mass size (> 20 mm). TND had an area under the SROC curve of 0.799 for NAC involvement. A TND of 11.5 mm achieved a predetermined specificity of 85% with a sensitivity of 64%, and a TND of 12.3 mm yielded a predetermined specificity of 83% with a sensitivity of 65%. Conclusion: Continuity to the NAC and unilateral NAC enhancement may help predict occult NAC involvement in breast cancer. To achieve the desired diagnostic performance with TND, a suitable cutoff value should be considered.

A Learning Automata-based Algorithm for Area Coverage Problem in Directional Sensor Networks

  • Liu, Zhimin;Ouyang, Zhangdong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제11권10호
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    • pp.4804-4822
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    • 2017
  • Coverage problem is a research hot spot in directional sensor networks (DSNs). However, the major problem affecting the performance of the current coverage-enhancing strategies is that they just optimize the coverage of networks, but ignore the maximum number of sleep sensors to save more energy. Aiming to find an approximate optimal method that can cover maximum area with minimum number of active sensors, in this paper, a new scheduling algorithm based on learning automata is proposed to enhance area coverage, and shut off redundant sensors as many as possible. To evaluate the performance of the proposed algorithm, several experiments are conducted. Simulation results indicate that the proposed algorithm have effective performance in terms of coverage enhancement and sleeping sensors compared to the existing algorithms.

Experiments on PEMFC performance enhancement by pulsating cathode flow

  • 한훈식;김기웅;김윤호;김서영
    • 한국신재생에너지학회:학술대회논문집
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    • 한국신재생에너지학회 2008년도 춘계학술대회 논문집
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    • pp.542-545
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    • 2008
  • Experiments have been performed to investigate effects of pulsating cathode flow on a 10-cell proton exchange membrane fuel cell (PEMFC) stack. For all the experiments, the flow rate, temperature and relative humidity of hydrogen at the anode inlet are fixed. The effects of the pulsating frequency, amplitude and flow rate at the cathode inlet on performance of 10-cell PEMFC are examined. The polarization and power curves show that the power output and limiting current is substantially increased when the pulsating component is added to cathode flow channel. The maximum power output increases by up to 38% and enhancement of the overall performance is more pronounced at lower flow rate region.

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실 제조공정을 위한 장력제어기의 성능 개선 (Performance Enhancement of Tension Controller for the Yarn Manufacturing Process)

  • 곽영신;임훈;이장명
    • 전기학회논문지
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    • 제57권11호
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    • pp.2054-2060
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    • 2008
  • This paper aims at the performance enhancement of tension controller for the yarn manufacturing process. The tension controller is required to keep the tension constant while the yarn is manufactured by a draw and twist machine, which is essential and critical for good quality production of yarn, steel, paper, etc. This paper proposes a linear model of tension control plant to develop a precise tension control system, which is derived by the close observation of the conventional mathematical model of motor driving and tension control systems. It is shown by experiments that the proposed control system precisely maintains the tension constant within the error bound of 0.05% while the conventional PI controller has about 0.2% error. The control performance of the system has been compared to that of conventional PI control not only for constant speed control but also for transient speed control experiments.

Improved Single Channel Speech Enhancement Algorithm Using Adaptive Postfiltering

  • 송은우;강홍구
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송공학회 2011년도 하계학술대회
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    • pp.122-125
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    • 2011
  • In real environment, background noise exists everywhere and degrades the performance of system. To reduce this distortion, a speech enhancement algorithm can be very useful and variety methods have been proposed. In this paper, we propose a postfilter to improve the performance of optimally modified log-spectral amplitude (OM-LSA) estimator. Proposed algorithm uses the formant postfilter to minimize perceptual distortion caused by background noise. We adjust an emphasizing parameter which is varied by spectral flatness and first reflection coefficient. The performance of the proposed algorithm is evaluated by measuring the log-spectral distance (LSD) and the perceptual evaluation of speech quality (PESQ) score. The test results show the improvement of proposed algorithm compared to conventional OM-LSA.

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Alq$_3-based$ Organic Light-Emitting Devices with Al/NaF cathodes: Performance Enhancement and Interface Electronic Structures

  • Park, Y.;Lee, J.;Kim, D.Y.;Chu, H.Y.;Lee, H.;Do, L.M.
    • 한국정보디스플레이학회:학술대회논문집
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    • 한국정보디스플레이학회 2003년도 International Meeting on Information Display
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    • pp.25-27
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    • 2003
  • The device characteristics and the interface electronic structures of organic light-emitting devices based on /tris-(8-hydroxyquinoline)aluminum ($Alq_3$) were investigated with Al/NaF cathode. The Al/NaF cathode greatly improved the performance of the device over the Al-only cathode. A series of photoelectron spectroscopy studies on cathode structures including Al/LiF and $Al/CaF_2$ revealed that the performance enhancement originated mainly from the HOMO peak shift upon the fluoride deposition rather than the formation of the gap states

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인체 능력 향상을 위한 하지 외골격 시스템의 기술 동향 (Technical Trend of the Lower Limb Exoskeleton System for the Performance Enhancement)

  • 이희돈;한창수
    • 제어로봇시스템학회논문지
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    • 제20권3호
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    • pp.364-371
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    • 2014
  • The purpose of this paper is to review recent developments in lower limb exoskeletons. The exoskeleton system is a human-robot cooperation system that enhances the performance of the wearer in various environments while the human operator is in charge of the position control, contextual perception, and motion signal generation through the robot's artificial intelligence. This system is in the form of a mechanical structure that is combined to the exterior of a human body to improve the muscular power of the wearer. This paper is followed by an overview of the development history of exoskeleton systems and their three main applications in military/industrial field, medical/rehabilitation field and social welfare field. Besides the key technologies in exoskeleton systems, the research is presented from several viewpoints of the exoskeleton mechanism, human-robot interface and human-robot cooperation control.

Time Selective Fading 채널 환경에서 STBC를 이용하는 송신 다이버시티에서 간섭제거기법에 의한 성능 개선 (Performance Enhancement by Interference Cancellation Scheme in Transmit Diversity using STBC over Time Selective Fading Channel)

  • 김장욱;양희진;오창헌;조성준
    • 한국전자파학회:학술대회논문집
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    • 한국전자파학회 2003년도 종합학술발표회 논문집 Vol.13 No.1
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    • pp.239-242
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    • 2003
  • Transmit diversity using STBC(Space Time Block Code) provides the same diversity gain as MRRC(Maximal Ratio Receiver Combining), when the fading channel is constant across two consecutive symbols. But, when the channel condition is changed for the two consecutive symbols, the transmit diversity using STBC does not offer good performance due to the large doppler shift. In this paper, we have proposed a interference cancellation scheme for performance enhancement in transmit diversity using STBC over time selective fading channel. Simulation results for various doppler shift rates are presented for the transmit diversity using the proposed scheme.

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