• KIISE Transactions on Computing Practices
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• v.22 no.7
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• pp.315-319
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• 2016

Recurrent neural network based language models (RNN LM) have shown improved results in language model researches. The RNN LMs are limited to post processing sessions, such as the N-best rescoring step of the wFST based speech recognition. However, it has considerable vocabulary problems that require large computing powers for the LM training. In this paper, we try to find the 1st pass N-gram model using word embedding, which is the simplified deep neural network. The class based language model (LM) can be a way to approach to this issue. We have built class based vocabulary through word embedding, by combining the class LM with word N-gram LM to evaluate the performance of LMs. In addition, we propose that part-of-speech (POS) tagging based LM shows an improvement of perplexity in all types of the LM tests.

• Journal of Microbiology and Biotechnology
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• v.21 no.12
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• pp.1336-1344
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• 2011

This study details and examines a novel ligation-mediated polymerase chain reaction (LM-PCR) method. Named the LM-PCR/Shifter, it relies on the use of a Class IIS restriction enzyme giving restriction fragments with different 4-base, 5' overhangs, this being the Shifter, and the ligation of appropriate oligonucleotide adapters. A sequence of 4-base, 5' overhangs of the adapter and a 4-base sequence of the 3' end of the primer(s) determine a subset of the genomic restriction fragments, which are amplified by PCR. The method permits the differentiation of bacterial species strains on the basis of the different DNA band patterns obtained after electrophoresis in polyacrylamide gels stained with ethidium bromide and visualized in UV light. The usefulness of the LM-PCR/Shifter method for genotyping is analyzed by a comparison with the restriction endonuclease analysis of chromosomal DNA by the pulsed-field gel electrophoresis (REA-PFGE) and PCR melting profile (PCR MP) methods for isolates of clinical origin. The clustering of the LM-PCR/Shifter fingerprinting data matched those of the REA-PFGE and PCR MP methods. We found that the LM-PCR/Shifter is rapid, and offers good discriminatory power and excellent reproducibility, making it a method that may be effectively applied in epidemiological studies.

• The Journal of Korean Association of Computer Education
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• v.6 no.1
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• pp.19-28
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• 2003

In this paper, we propose a development methodology based on the component architecture to develop the LMS that follows ADL's SCORM standard, which is interested internally and externally in the e-learning contents standardization research. In like manner, we designed the SCORM core module and implemented the EJB component based on J2EE through the sugested methodology for the conversion of SCORM Conformance LMS, from iOneLMS which was developed based on distributed object component like JSP, EJB, etc. The SCORM component modules were implemented by three modules - content importing, course registering, and taking course and gathering the learning data. In the process of implementation, we used the part of the class library that was supported by the ADL and AICC again.

• The Journal of the Convergence on Culture Technology
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• v.8 no.3
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• pp.25-31
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• 2022

This study aims to investigate the degree of influence of LMS on online classes conducted after COVID-19 at C University in Gyeongsangnam-do, and to examine the relationship between overall class satisfaction and LMS satisfaction variables. C University started the project to construct 'Next-generation Smart LMS' and operated it from the first semester of 2021. As a result of conducting a survey about overall class satisfaction and LMS satisfaction consisting of five variables with 140 learners who have experienced online classes at C University. The learners showed high satisfaction not only in overall classes but also LMS. As a result of regression analysis of LMS satisfaction and overall class satisfaction, it was found that the functional convenience of LMS and interaction with instructors had a significant effect on overall class satisfaction. This study has limitations in that it was conducted only at one college and a limited number of variables were measured.

• Journal of Digital Convergence
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• v.17 no.3
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• pp.395-404
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• 2019

This study investigates the interactivity of smart LMS. To this end, smart LMS was used for one semester in the English course for economics majors and the surveys about its interactivity were conducted. The findings show that smart LMS enhanced the interaction between instructors and students, between students and students, and between students and learning contents. Especially in the classroom, the activity bulletin made possible the instructor's immediate feedback about team-based activity outcomes. Also, outside the classroom, Wiki made it convenient for students to collaborate with each other. In addition, activity outcomes in the activity bulletin and course materials uploaded on smart LMS contributed to the interactivity. However, what is recommended to do to increase the interactivity are to prepare instructional strategies for students to get used to using smart LMS and smartphones as their learning tool, to test the target systems of smart LMS in advance, and to take proper actions to solve the problems of smartphone's data and battery.

• 한국정보디스플레이학회:학술대회논문집
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• 2006.08a
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• pp.363-367
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• 2006

We synthesized new blue and bluish green emitting materials by using fully substituted ethylene moieties. Multi-layered EL devices were fabricated with synthesized materials and evaluated in terms of emission color and luminescence efficiency. BPBAPE[EML 4] having high $T_g$ of $155^{\circ}C$ showed luminance and power efficiency of 10.33cd/A and 4.0 lm/W without any doping agent. BTBPPA[EML 5] exhibited 5cd/A and 1.67lm/W efficiency with blue CIE value of (0.165, 0.195).

• Journal of the Korea Society of Computer and Information
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• v.7 no.4
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• pp.59-65
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• 2002

In these days, educational environment has been changing as Slowing of internet. This is why we have to consider a Web-based cyber education. The LMS is functionally constituted with Class-part and Management-part. Class-part take part in planning of lecture, loading the presentation material and class service. In this system, UML is used to support a specification of Component-based LMS. Through this study, we will show the effectiveness of CBD(Component Based Development) in during LMS development.

• Journal of The Korean Association of Information Education
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• v.25 no.5
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• pp.825-834
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• 2021

This study analyzed learners' satisfaction and in-depth interviews with teachers after operating a software practical curriculum as a real-time video class for fifth and sixth graders in elementary school. The correlation between learner's presence, class overall, interaction, and real-time video class satisfaction showed that the positive correlation between presence, class overall, interaction, and satisfaction with real-time video classes was somewhat high. There were some differences in the real-time video class participation environment and real-time video class satisfaction, but it was not found to be statistically significant. In the case of teachers, it was difficult to respond to problems occurring in each student's individual environment, interactions between students, and individual feedback problems for a sluggish student. To solve this problem, opinions such as preliminary guidance and verification of real-time video class connection environment, error support for sluggish students and individual class participation environment, and feedback on individual tasks using LMS were suggested.

• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2011.11a
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• pp.135-138
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• 2011

As a basic research for the development of Korean lunar lander, propulsion system development for ground test is in progress. Thrust for descent is 200 N class. Design target is 220 N in vacuum thrust at 100 g/s flow rate, 200 psi chamber pressure. For ground test, thrust measurement system using LM guide was developed and test was performed. The result shows 160 N thrust in atmosphere condition at 210 psi chamber pressure.

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.3
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• pp.121-138
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• 2024

Artificial intelligence is crucial to manufacturing productivity. Understanding the difficulties in producing disruptions, especially in linear feed robot systems, is essential for efficient operations. These mechanical tools, essential for linear movements within systems, are prone to damage and degradation, especially in the LM guide, due to repetitive motions. We examine how explainable artificial intelligence (XAI) may diagnose wafer linear robot linear rail clearance and ball screw clearance anomalies. XAI helps diagnose problems and explain anomalies, enriching management and operational strategies. By interpreting the reasons for anomaly detection through visualizations such as Class Activation Maps (CAMs) using technologies like Grad-CAM, FG-CAM, and FFT-CAM, and comparing 1D-CNN with 2D-CNN, we illustrates the potential of XAI in enhancing diagnostic accuracy. The use of datasets from accelerometer and torque sensors in our experiments validates the high accuracy of the proposed method in binary and ternary classifications. This study exemplifies how XAI can elucidate deep learning models trained on industrial signals, offering a practical approach to understanding and applying AI in maintaining the integrity of critical components such as LM guides in linear feed robots.