• Korean Journal of Materials Research
• /
• v.14 no.2
• /
• pp.133-140
• /
• 2004

We carried out anodic aluminum oxide (AAO) on a Si and a sapphire substrate. For anodic oxidation of Al two types of specimens prepared were Al(0.5 $\mu\textrm{m}$)!Si and Al(0.5 $\mu\textrm{m}$)/Ti(0.1 $\mu\textrm{m}$)$SiO_2$(0.1 $\mu\textrm{m}$)/GaN(2 $\mu\textrm{m}$)/Sapphire. Surface morphology of Al film was analyzed depending on the deposition methods such as sputtering, thermal evaporation, and electron beam evaporation. Without conventional electron lithography, we obtained ordered nano-pattern of porous alumina by in- situ process. Electropolishing of Al layer was carried out to improve the surface morphology and evaluated. Two step anodizing was adopted for ordered regular array of AAO formation. The applied electric voltage was 40 V and oxalic acid was used as an electrolyte. The reference electrode was graphite. Through the optimization of process parameters such as electrolyte concentration, temperature, and process time, a regular array of AAO was formed on Si and sapphire substrate. In case of Si substrate the diameter of pore and distance between pores was 50 and 100 nm, respectively. In case of sapphire substrate, the diameter of pore and distance between pores was 40 and 80 nm, respectively

• Transactions of the Korean Society of Automotive Engineers
• /
• v.22 no.7
• /
• pp.107-116
• /
• 2014

This paper presents camera-based road surface marking detection methods suited to sensor fusion-based positioning system that consists of low-cost GPS (Global Positioning System), INS (Inertial Navigation System), EDM (Extended Digital Map), and vision system. The proposed vision system consists of two parts: lane marking detection and RSM (Road Surface Marking) detection. The lane marking detection provides ROIs (Region of Interest) that are highly likely to contain RSM. The RSM detection generates candidates in the regions and classifies their types. The proposed system focuses on detecting RSM without false detections and performing real time operation. In order to ensure real time operation, the gating varies for lane marking detection and changes detection methods according to the FSM (Finite State Machine) about the driving situation. Also, a single template matching is used to extract features for both lane marking detection and RSM detection, and it is efficiently implemented by horizontal integral image. Further, multiple step verification is performed to minimize false detections.

• Journal of the Korea Society of Computer and Information
• /
• v.29 no.3
• /
• pp.127-136
• /
• 2024

This study explores the correlation between system anomalies and large-scale logs within the Spark cluster environment. While research on anomaly detection using logs is growing, there remains a limitation in adequately leveraging logs from various components of the cluster and considering the relationship between anomalies and the system. Therefore, this paper analyzes the distribution of normal and abnormal logs and explores the potential for anomaly detection based on the occurrence of log templates. By employing Hadoop and Spark, normal and abnormal log data are generated, and through t-SNE and K-means clustering, templates of abnormal logs in anomalous situations are identified to comprehend anomalies. Ultimately, unique log templates occurring only during abnormal situations are identified, thereby presenting the potential for anomaly detection.

• Journal of KIISE:Software and Applications
• /
• v.36 no.4
• /
• pp.261-272
• /
• 2009

The EJB 3.0 specifications, which were improved in terms of performance and ease of development, were recently announced. Accordingly, for the EJB 3.0 application environment, developers generally prefer the gradual transformation of components whose performance must be improved to the complete transformation of all the EJB 2.1 components into EJB 3.0 components. Previous studies, however, did not consider the service of the application and did not ensure the compatibility and reusability of the components in the full replacement of EJB 3.0 due to the transformation using different specifications. This study proposed three transformation techniques that consider the service supported in the existing application, wherein the compatibility and reusability of the components are ensured in the case of the full replacement of EJB 3.0. The proposed transformation techniques are techniques for gradual transformation, such as direct transformation that directly connects components, indirect transformation that uses the EJB connector, and indirect template transformation wherein the template pattern is applied to the indirect transformation. The proposed transformation techniques were verified by comparing the reusability and processing capability of the components per second, and the standards for selecting a technique were provided based on the characteristics of the transformation into EJB 3.0 that were found in this study.

• Korean Chemical Engineering Research
• /
• v.45 no.5
• /
• pp.487-492
• /
• 2007

Using the selective host-guest inclusion of $G_2$[naphthalene disulfonate], the structural isomers of 1,2-dibromobenzene and 1,3-dibromobenzene were separated. As such, 1,3-dibromobenzene was selectively included as guest into the host framework in mixture isomers over 30% fraction of 1,3- dibromobenzene ($X_{1,3-DBB}=0.3$) whereas 1,2-dibromobenzene as guest was selective to the inclusion below $X_{1,3-DBB}=0.3$. This was due to the selectivity of host framework toward the guest molecules playing a role of template to the host framework. From the powder pattern XRD of inclusion compounds crystallized in pure isomer and mixture solutions, the template roles of guest molecules to the host framework were confirmed. Using the DSC, it was found that the more energy was required to release 1,3-dibromobenzene of guest from the host framework than 1,2-dibromobenzene due to the higher thermal stability. The thermal stability of the $G_2NDS$-1,3-dibromobenzene inclusion compound was consistent with the high selectivity of 1,3- dibromobenzene to the host framework in broad range of fraction in the isomer mixture

• Journal of KIISE:Software and Applications
• /
• v.37 no.3
• /
• pp.205-213
• /
• 2010

We introduce a natural language sentence generation (NLG) method based on learning of word-association patterns. Existing NLG methods assume the inherent grammar rules or use template based method. Contrary to the existing NLG methods, the presented method learns the words-association patterns using only the co-occurrence of words without additional information such as tagging. We employ the hypernetwork method to analyze and represent the words-association patterns. As training going on, the model complexity is increased. After completing each training phase, natural language sentences are generated using the learned hyperedges. The number of grammatically plausible sentences increases after each training phase. We confirm that the proposed method has a potential for learning grammatical properties of training corpuses by comparing the diversity of grammatical rules of training corpuses and the generated sentences.

• Journal of Digital Contents Society
• /
• v.7 no.4
• /
• pp.235-243
• /
• 2006

This paper presents the development of certain efficient method for expressing the emotion of an avatar based on the facial expression recognition. This new method is not changing a facial expression of the avatar manually. It can be changing a real time facial expression of the avatar based on recognition of a facial pattern which can be captured by a web cam. It provides a tool for recognizing some part of images captured by the web cam. Because of using the model-based approach, this tool recognizes the images faster than other approaches such as the template-based or the network-based. It is extracting the shape of user's lip after detecting the information of eyes by using the model-based approach. By using changes of lip's patterns, we define 6 patterns of avatar's facial expression by using 13 standard lip's patterns. Avatar changes a facial expression fast by using the pre-defined avatar with corresponding expression.

• Korean Journal of Animal Reproduction
• /
• v.20 no.2
• /
• pp.89-99
• /
• 1996

The purpose of this study was to develop the diagnosis techniques for sex determination of rabbit embryos at preimplantation stage. To detect male specific sequences using polymerase chain reaction, two genes functional on sex determination including SRY and ZFX/Y genes were targeted using multiple oligonucleotide primer sets. Three of them for conserved SRY gene were used for appropriate amplification pattern, and then only one primer set #3 proved to be most efficient, showing male-specific strong signal ofamplified sequences. Using this male specific bandsfrom human, cattle, pig and mouse, the gender of rabbit was determined. As an another system for sex determination system, amplified 910bp fragment from ZFX/Y was digested with several restriction endonuclease and showed gender specific restriction fragments only by Hinf I. Using two different system for sex identification of rabbit in this study, blind tests for 17 samples was conducted and showed identical results from two different methods. And then, amplification limit of PCR reaction for template DNA was estimated using various amounts of DNA for both SRY and ZFX/Y systems, resulted as 20pg and 800pg, respectively. With this results, test for gender identification of rabbit embryos were performed using SRY derived amplification system. From total 22 embryos selected for its developmental state 18 were identified as male embryos, showing significant difference from expected sex ratio 1:1. This biased sex ratio was interpreted as to have been caused by the fact, reported by the fact, reported by several researchers, that male embryos develop more rapidly and are more resistant against the in vitro manipulation than female embryos.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.14 no.10
• /
• pp.5169-5175
• /
• 2013

We present a framework for 3D hand gesture design and modeling. We adapted two different pattern matching techniques, Dynamic Time Warping (DTW) and Hidden Markov Models (HMMs), to support the registration and evaluation of 3D hand gestures as well as their recognition. One key ingredient of our framework is a concept for the convenient gesture design and registration using HMMs. DTW is used to recognize hand gestures with a limited training data, and evaluate how the performed gesture is similar to its template gesture. We facilitate the use of visual sensors and body sensors for capturing both locative and inertial gesture information. In our experimental evaluation, we designed 18 example hand gestures and analyzed the performance of recognition methods and gesture features under various conditions. We discuss the variability between users in gesture performance.

• Journal of Acupuncture Research
• /
• v.31 no.4
• /
• pp.11-19
• /
• 2014

Objectives : Acupuncture manipulation, a kind of sophisticated hand movements, has been considered a fundamental skill for acupuncture practice. In this study, we aimed to develop acupuncture manipulation education system(AMES) using visual feedback of acupuncture manipulation. We also investigated whether or not acupuncture practice-$na{\ddot{i}}ve$ students could enhance their acupuncture manipulation skills after AMES training. Methods : Using AMES and motion sensor, we visualized a time-series motion template(intended motion) and participant's own motion(actual motion) manipulating an acupuncture needle. Ten students were trained with complex lifting/thrusting techniques for 8 training trials. We compared the motion pattern error of the students between the first and the last trials. Results : In our pilot experiment, half of the participants showed significantly improved manipulation skills in complex lifting/thrusting techniques after training with AMES which is developed in this study, while the other half of the participants did not show significant improvements. Conclusions : The AMES could be useful in acupuncture-manipulation training for students. Our findings suggest that novice can improve sophisticated hand movement for acupuncture manipulation with sensorimotor learning using visual feedback.