• Title/Summary/Keyword: Image Performance

Search Result 7,203, Processing Time 0.035 seconds

The Impact of the Psychological Condition on Individual Involvement in Creative Work: The mediating role of Expected Image Outcomes (조직내 심리적 조건이 창의적 업무몰입에 미치는 영향 - 예상되는 이미지 결과의 매개효과 -)

  • Ji, Seong Goo;Chol, Sun Gyu
    • Knowledge Management Research
    • /
    • v.14 no.2
    • /
    • pp.49-69
    • /
    • 2013
  • In this study, we examined how the psychological safety influence expected image outcomes(image gain, image risk) and how expected image outcomes impact one's involvement in creative work. And, we examined the relationship between creative work involvement and job performance. We also investigated mediating role of expected image outcomes between psychological safety and creative work involvement. Survey data was collected from 271 employees working in a South Korea. The results of structural equation modeling using LISREL 8.50 indicate that psychological safety was positively related to expected image gain, but not significantly related to expected image risk. The result also expected image gain was positively related to creative work involvement, contrary to prediction of hypothesis 2-2, expected image risk was positively associated with creative work involvement. In addition, creative work involvement has positive effect on job performance. Finally, the relationship of expected image outcomes about psychological safety and creative work involvement was mediated by expected image gain partially. We extended the literature and contributed better understanding of the creativity research by answering calls for further research on involvement in creative work rather then the outcome of the creative process.

  • PDF

High performance γ-ray imager using dual anti-mask method for the investigation of high-energy nuclear materials

  • Lee, Taewoong;Lee, Wonho
    • Nuclear Engineering and Technology
    • /
    • v.53 no.7
    • /
    • pp.2371-2376
    • /
    • 2021
  • As the γ-ray energy increases, a reconstructed image becomes noisy and blurred due to the penetration of the γ-ray through the coded mask. Therefore, the thickness of the coded mask was increased for high energy regions, resulting in severely decreased the performance of the detection efficiency due to self-collimation by the mask. In order to overcome the limitation, a modified uniformly redundant array γ-ray imaging system using dual anti-mask method was developed, and its performance was compared and evaluated in high-energy radiation region. In the dual anti-mask method, the two shadow images, including the subtraction of background events, can simultaneously contribute to the reconstructed image. Moreover, the reconstructed images using each shadow image were integrated using a hybrid update maximum likelihood expectation maximization (h-MLEM). Using the quantitative evaluation method, the performance of the dual anti-mask method was compared with the previously developed collimation methods. As the shadow image which was subtracted the background events leads to a higher-quality reconstructed image, the reconstructed image of the dual anti-mask method showed high performance among the three collimation methods. Finally, the quantitative evaluation method proves that the performance of the dual anti-mask method was better than that of the previously reconstruction methods.

The Effect of Corporate Social Responsibility on Corporate Image and Corporate Performance (기업의 사회적 책임활동이 기업 이미지 형성과 기업 성과에 미치는 영향에 관한 연구: 공유가치창출 인지정도에 따른 차이비교)

  • Lee, Don-Gon;Lee, Myung-Jin
    • Journal of Distribution Science
    • /
    • v.12 no.9
    • /
    • pp.101-112
    • /
    • 2014
  • Purpose - Recently, although corporate social responsibility activities have been increasing in size, they do not have to achieve qualitative improvements and can be passive and cost consuming. Therefore, companies should make quantitative as well as qualitative improvements in their efforts in corporate social responsibility activities. In this study, the classification of social responsibility activities in a variety of studies was analyzed through a more specific path than in previous studies. Corporate behavior image, social behavior image, and corporate contributions image were analyzed through a more detailed analysis of performance. This study suggests that more detailed and concentrated social responsibility activities be pursued by forming companies. Research design, data, and methodology - The purpose of study is to gauge the corporate need for a more intensive, specific area of CSR activities. For this purpose, the sample of consumers that were targeted for CSR activities, recognized as 261 persons, have been investigated. Through a theoretical discussion on previous research, nine hypotheses were established on corporate image, the influence of corporate performance on CSR, and the CSV regulation effect. In order to test the hypothesis, a survey was conducted on 261 male and female consumers who were targeted for CSR, being persons in their 20s to 40s. PASW Statistics 18.0 and AMOS 18.0 were used for statistical analysis. Results - Corporate behavior image was formed through legal responsibility activities and economic responsibility activities. In addition to economic responsibilities, ethical responsibilities and environmental responsibilities were confirmed to have influence on social behavior image. Corporate social responsibility and philanthropic responsibility were confirmed to have influence on economic contribution image. Corporate image has positive effects on brand attitude, corporate reputation, and corporate competition. In addition, when CSV awareness is high, consumers perceive corporate image only through economic responsibility. However, when CSV awareness is low, economic responsibility as well as legal responsibility through charitable activities form the corporate image that influences the brand attitude and corporate reputation, as well as corporate competitiveness. It would appear that the area of corporate social responsibility needs more intensive management for corporate image and corporate competitive advantage. Conclusion - First, the findings of this study show that each CSR activity has a different effect on corporate image and thus, the corporate image influences corporate performance in distinct ways, depending on the CSR activity. This implies that reactive strategies should be tailored to the required image. Second, there is a difference in CSV awareness between groups. When the CSV awareness is low, we can confirm that legal responsibility activities have an especially significant effect on corporate image, implying that corporations should pursue their economic objectives within legal regulations and need to invest significant time and effort for this. This study has limited generalization potential because the result of the model fit has insufficient reference value. In future research, we need to approach various dimensions of corporate performance.

Image Analysis Fuzzy System

  • Abdelwahed Motwakel;Adnan Shaout;Anwer Mustafa Hilal;Manar Ahmed Hamza
    • International Journal of Computer Science & Network Security
    • /
    • v.24 no.1
    • /
    • pp.163-177
    • /
    • 2024
  • The fingerprint image quality relies on the clearness of separated ridges by valleys and the uniformity of the separation. The condition of skin still dominate the overall quality of the fingerprint. However, the identification performance of such system is very sensitive to the quality of the captured fingerprint image. Fingerprint image quality analysis and enhancement are useful in improving the performance of fingerprint identification systems. A fuzzy technique is introduced in this paper for both fingerprint image quality analysis and enhancement. First, the quality analysis is performed by extracting four features from a fingerprint image which are the local clarity score (LCS), global clarity score (GCS), ridge_valley thickness ratio (RVTR), and the Global Contrast Factor (GCF). A fuzzy logic technique that uses Mamdani fuzzy rule model is designed. The fuzzy inference system is able to analyse and determinate the fingerprint image type (oily, dry or neutral) based on the extracted feature values and the fuzzy inference rules. The percentages of the test fuzzy inference system for each type is as follow: For dry fingerprint the percentage is 81.33, for oily the percentage is 54.75, and for neutral the percentage is 68.48. Secondly, a fuzzy morphology is applied to enhance the dry and oily fingerprint images. The fuzzy morphology method improves the quality of a fingerprint image, thus improving the performance of the fingerprint identification system significantly. All experimental work which was done for both quality analysis and image enhancement was done using the DB_ITS_2009 database which is a private database collected by the department of electrical engineering, institute of technology Sepuluh Nopember Surabaya, Indonesia. The performance evaluation was done using the Feature Similarity index (FSIM). Where the FSIM is an image quality assessment (IQA) metric, which uses computational models to measure the image quality consistently with subjective evaluations. The new proposed system outperformed the classical system by 900% for the dry fingerprint images and 14% for the oily fingerprint images.

The Effects of Image Training and Vibration on Performance of Vertical Jumping (상상 훈련과 진동 운동의 적용이 수직점프의 수행력에 미치는 영향)

  • Bang, Hyun-Soo;Jung, Byeong-Ok;Kim, Jin-Sang
    • Journal of the Korean Society of Physical Medicine
    • /
    • v.4 no.1
    • /
    • pp.49-56
    • /
    • 2009
  • Purpose : The Purpose of this study was to investigate the effects of image training and vibration on performance of vertical jumping. Methods : Subjects was classified into two groups, which were image training group(n=20) and vibration application group(n=20). The standard methods of each intervention were image training with listening recorded indication for 5 minute and vibration with speed of $1200{\pm}200\;rpm$. Muscle strength was measured using vertical jump performance. Results : The vertical jump performance was significantly increased after image training and vibration application(p<.05), however, it was more significantly after image training(p<.05). Conclusion : This study showed that image training and vibration application were effective treatment strategy on increase of muscle strength. Therefore, it could be considered as a treatment method in the patients with musculoskeletal disease including fracture, chronic degenerative disease and disuse atrophy.

  • PDF

A Study on the Digital Watermarking Embedded Transmission of Still Image in Wireless Multimedia Communication Environment (무선 멀티미디어 통신 환경에서 정지영상 전송에 삽입되는 디지털 워터마킹에 관한 연구)

  • Jo, Song-Back;Lee, Yang-Sun;Kang, Heau-Jo
    • Journal of Advanced Navigation Technology
    • /
    • v.8 no.2
    • /
    • pp.169-175
    • /
    • 2004
  • We analyzed about digital watermarking embedded transmission of still image in wireless multimedia communication environment. Also, we proposed improved watermark techniques. It effects that get in original image than method to use conventional image is less and shows robust watermark restoration ability from outside attack. Performance analysis achieved about still image and restoration of watermark information using OFDM/QPSK still image transmission system in wireless channel environment. Analysis result, VI watermark performance that influence in original image is very small. And it could know that show high restoration performance. Also, It showed superior copyright information extraction performance than image watermark in wireless channel environment of same transmission error condition.

  • PDF

An Edge-Based Algorithm for Discontinuity Adaptive Image Smoothing (에지기반의 불연속 경계적응 영상 평활화 알고리즘)

  • 강동중;권인소
    • 제어로봇시스템학회:학술대회논문집
    • /
    • 2000.10a
    • /
    • pp.273-273
    • /
    • 2000
  • We present a new scheme to increase the performance of edge-preserving image smoothing from the parameter tuning of a Markov random field (MRF) function. The method is based on automatic control of the image smoothing-strength in MRF model ing in which an introduced parameter function is based on control of enforcing power of a discontinuity-adaptive Markov function and edge magnitude resulted from discontinuities of image intensity. Without any binary decision for the edge magnitude, adaptive control of the enforcing power with the full edge magnitude could improve the performance of discontinuity-preserving image smoothing.

  • PDF

U-net and Residual-based Cycle-GAN for Improving Object Transfiguration Performance (물체 변형 성능을 향상하기 위한 U-net 및 Residual 기반의 Cycle-GAN)

  • Kim, Sewoon;Park, Kwang-Hyun
    • The Journal of Korea Robotics Society
    • /
    • v.13 no.1
    • /
    • pp.1-7
    • /
    • 2018
  • The image-to-image translation is one of the deep learning applications using image data. In this paper, we aim at improving the performance of object transfiguration which transforms a specific object in an image into another specific object. For object transfiguration, it is required to transform only the target object and maintain background images. In the existing results, however, it is observed that other parts in the image are also transformed. In this paper, we have focused on the structure of artificial neural networks that are frequently used in the existing methods and have improved the performance by adding constraints to the exiting structure. We also propose the advanced structure that combines the existing structures to maintain their advantages and complement their drawbacks. The effectiveness of the proposed methods are shown in experimental results.

Face Image Compression using Generalized Hebbian Algorithm of Non-Parsed Image

  • Kyung Hwa lee;Seo, Seok-Bae;Kim, Daijin;Kang, Dae-Seong
    • Proceedings of the IEEK Conference
    • /
    • 2000.07b
    • /
    • pp.847-850
    • /
    • 2000
  • This paper proposes an image compressing and template matching algorithm for face image using GHA (Generalized Hebbian Algorithm). GHA is a part of PCA (Principal Component Analysis), that has single-layer perceptrons and operates and self-organizing performance. We used this algorithm for feature extraction of face shape, and our simulations verify the high performance for the proposed method. The shape for face in the fact that the eigenvector of face image can be efficiently represented as a coefficient that can be acquired by a set of basis is to compress data of image. From the simulation results, the mean PSNR performance is 24.08[dB] at 0.047bpp, and reconstruction experiment shows that good reconstruction capacity for an image that not joins at leaning.

  • PDF

SATELLITE OPERATION DESIGN FOR ASSESSING MTF PERFORMANCE OF EARTH OBSERVATION SATELLITE USING STELLAR SOURCES (별을 이용한 지구 관측 위성의 MTF 성능 분석을 위한 위성 운영 설계)

  • Kim, Hee-Seob;Chung, Dae-Won;Choi, Hae-Jin
    • Journal of Astronomy and Space Sciences
    • /
    • v.24 no.4
    • /
    • pp.379-388
    • /
    • 2007
  • Modulation Transfer Function (MTF) of satellite image is an important performance index in satellite image applications. Therefore MTF performance is assessed using satellite image for the ground target during LEOP phase after launch. But the MTF performance assessment using the ground target can be affected by imaging conditions such as cloud and weather. In this paper system requirements and satellite operation for assessing MTF performance of satellite image using stellar sources are proposed. Satellite capability in collecting stellar sources using the satellite which is designed for earth observation and satellite image usefulness for assessing MTF performances were analyzed. The proposed approach will be useful to assess MTF performance of earth observation satellite in lower earth orbit.