• Journal of Institute of Convergence Technology
• /
• v.1 no.1
• /
• pp.29-33
• /
• 2011

This study is performed to investigate the effect of the artificial light for room lightening. To do that, the experiments were done using the black room with 1m3 and performed to show the effect of the length between the room and light source and light intensities as LUX. The LUX of 18 sites in the room was measured using LUX meter. The length between the room and the light source was chosen as 500mm, 1000mm, and 1500mm and the light intensities was 3 levels. The results were shown the distinct difference between the part directly projected through the light path and non-directly projected. So, the light delivery path have to be modified for next step research. The results were very sensitive for the part directly projected through the light path. This study showed the basic results for room lightening using light source to simulate the solar lightening and was worth in a strict sense as fundamental study.

• Journal of Korea Multimedia Society
• /
• v.24 no.10
• /
• pp.1403-1413
• /
• 2021

In this paper, we investigate automated data validation techniques for artificial intelligence training, and also disclose open-source frameworks, such as Google's TensorFlow Data Validation (TFDV), that support automated data validation in the AI model development process. We also introduce an experimental study using public data sets to demonstrate the effectiveness of the open-source data validation framework. In particular, we presents experimental results of the data validation functions for schema testing and discuss the limitations of the current open-source frameworks for semantic data. Last, we introduce the latest studies for the semantic data validation using machine learning techniques.

• Journal of the Semiconductor & Display Technology
• /
• v.18 no.2
• /
• pp.78-81
• /
• 2019

In this study, we will analyze the design, development and application of these small drones using open source. These drones are used in flight exercises, aerial photography, and coding education. In the era of the fourth industrial revolution, such as the development of sensor technology, expansion of open source sharing, and application of artificial intelligence, Is expected to be able to demonstrate convergence. In this paper, we have studied the design and fabrication of small drones using open source. In the case of drones, various functions and differentiated materials are required depending on the application, and the future development of the unmanned mobile object, namely the drone, in which the creativity and the technology are combined with each other continues to be enhanced by the improvement of autonomy and artificial intelligence. Software-based architecture-based technologies have been developed in collaboration with embedded SWs that combine sensors, motors, and control systems. In hardware, it is customary to use a combination of materials and design to increase the freedom of design. It will be made in a free structure.

• Transactions on Control, Automation and Systems Engineering
• /
• v.3 no.4
• /
• pp.223-228
• /
• 2001

We have been developed an intelligent mobile robot with an artificial olfactory function to recognize odours and to track odour source location. This mobile robot also has ben installed an engine for speech recognition and synthesis and is controlled by wireless communication. An artificial olfactory system based on array of 7 gas sensors has been installed in the mobile robot for odour recognition, and 11 gas sensors also are located in the obttom of robot to track odour sources. 3 optical sensors are also in cluded in the intelligent mobile robot, which is driven by 2 D. C. motors, for clash avoidance in a way of direction toward an odour source. Throughout the experimental trails, it is confirmed that the intelligent mobile robot is capable of not only the odour recognition using artificial neural network algorithm, but also the tracking odour source using the step-by-step approach method. The preliminary results are promising that intelligent mobile robot, which has been developed, is applicable to service robot system for environmental monitoring, localization of odour source, odour tracking of hazardous areas etc.

• 제어로봇시스템학회:학술대회논문집
• /
• 2001.10a
• /
• pp.137.2-137
• /
• 2001

We have been developed an intelligent mobile robot with an artificial olfactory function to recognize odours and to track odour source location. This mobile robot also has been installed an engine for speech recognition and synthesis, and is controlled by wireless communication. An artificial olfactory system based on array of 7 gas sensors has been installed in the mobile robot for odour recognition, and 11 gas sensors also are located in the bottom of robot to track odour sources. 3 optical sensors are also included in the intelligent mobile robot, which is driven by 2 D.C. motors, for clash avoidance in a way of direction toward an odour source. Throughout the experimental trails, it is confirmed that the intelligent mobile robot is capable of not only the odour recognition using artificial neural network algorithm, but also the tracking odour source using the step-by-step approach method ...

• Korean Journal of Radiology
• /
• v.25 no.3
• /
• pp.217-219
• /
• 2024

• Journal of Sericultural and Entomological Science
• /
• v.19 no.1
• /
• pp.15-18
• /
• 1977

This study carried out to know whether corn shank can be used as the crude fiber source for the larval growth or not, The results obtained from this study are summarized as follows: 1. It seems that there are no bad effects of the artificial diet containing corn shank on feeding of the newly hatched larva. 2. Author did not find any bad effects of the artificial diet containing corn shank on larval growth and cocoon qualifies. 3. In view of these results, it seems that the corn shank is suitable for use as the crude fiber source for the silkworm artificial diet.

• Journal of the Korean Society of Industry Convergence
• /
• v.26 no.5
• /
• pp.785-792
• /
• 2023

Because hyperspectral imaging provides detailed spectral information across a broad range of wavelengths, it can be utilized in numerous applications, including environmental monitoring, food quality inspection, medical diagnosis, material identification, art authentication, and crime scene analysis. However, hyperspectral images often contain various types of distortions due to the environmental conditions during image acquisition, which necessitates the proper removal of these distortions through a data preprocessing process. In this study, a preprocessing method was investigated to effectively correct the distortion caused by artificial light sources used in indoor hyperspectral imaging. For this purpose, a halogen-tungsten artificial light source was installed indoors, and hyperspectral images were acquired. The acquired images were then corrected for distortion using a preprocessing that does not require complex auxiliary equipment. After the corrections were made, the results were analyzed. According to the analysis, a statistical transformation technique using mean and standard deviation with reference to a reference signal was found to be the most effective in correcting distortions caused by artificial light sources.

• Transactions of the Korean Society of Mechanical Engineers A
• /
• v.36 no.7
• /
• pp.813-822
• /
• 2012

Abnormal operating sounds radiated from a moving transfer robot in LCD (liquid crystal display) product lines have been used for the fault detection line of a robot instead of other source signals such as vibrations, acoustic emissions, and electrical signals. Its advantage as a source signal makes it possible to monitor the status of multiple faults by using only a microphone, despite a relatively low sensitivity. The wavelet packet transform for feature extraction and the artificial neural network for fault classification are employed. It can be observed that the abnormal operating sound is sufficiently useful as a source signal for the fault diagnosis of mechanical components as well as other source signals.

• The Research Journal of the Costume Culture
• /
• v.15 no.2 s.67
• /
• pp.214-220
• /
• 2007

The purpose of this study is to derive the use of the luminous source corresponding to the intention and contribute to product display by visually evaluating the relations between luminous source and colors, analyzing and reviewing the subjective perceptions depending on the luminous source, and clarifying the colors of artificial luminous source that look close to natural lights by each color. Hence, the researcher objectified the subjective evaluation for which they used sensory evaluation method with four colors of luminous sources(natural colors, 2800K, 4200K, and 6500K) and five colors of textiles(purple, blue, green, yellow, and red) by quantifying the evaluation. As a result, we could obtain the conclusion as follows. As for the temperature of textile colors under artificial luminous sources that appeared most close to the colors of textiles under natural luminous sources, 6500K was most frequent, and the temperature of the luminous sources that appeared most different was 2800K. However, as there were also 4200K colors that looked most close to the textile colors under natural light source, it was observed that the temperature differs depending on the textile colors. In addition, less glossy textiles exhibited more visual changes by luminous source colors than comparatively more glossy textiles, and it was observed that the most influenced color was purple, as purple has shown the largest difference among colors.