• International Journal of Computer Science & Network Security
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• v.22 no.1
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• pp.61-68
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• 2022

The present study was based on developing an AI based model to facilitate the academic registration needs of blind students. The model was developed to enable blind students to submit academic service requests and tasks with ease. The findings from previous studies formed the basis of the study where functionality gaps from the literary research identified by blind students were utilized when the system was devised. Primary simulation data were composed based on several thousand cases. As such, the current study develops a model based on archival insight. Given that the model is theoretical, it was partially applied to help determine how efficient the associated AI tools are and determine how effective they are in real-world settings by incorporating them into the portal that institutions currently use. In this paper, we argue that voice-activated personal assistant (VAPA), text mining, bag of words, and case-based reasoning (CBR) perform better together, compared with other classifiers for analyzing and classifying the text in academic request submission through the VAPA.

• Transactions on Electrical and Electronic Materials
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• v.11 no.2
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• pp.65-68
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• 2010

The operation principle of a traveling wave rotary type ultrasonic motor can be successfully applied to the fluidic transfer mechanism of the micro-pump. This paper proposes an innovative valveless micro-pump type that uses an extensional vibration mode of a traveling wave as a volume transportation means. The proposed pump consists of coaxial cylindrical shells that join the piezoelectric ceramic ring and metal body, respectively. In order to confirm the actuation mechanism of the proposed pump model, a numerical simulation analysis was implemented. In accordance with the variations in the exciting wave mode and pump body dimension, we analyzed the vibration displacement characteristics of the proposed model, determined the optimal design condition, fabricated the prototype pump from the analysis results and evaluated its performance. The maximum flow rate was approximately $595\;{\mu}L/min$ and the highest back pressure was 0.88 kPa at an input voltage of $130\;V_{rms}$. We confirmed that the peristaltic motion of the piezoelectric actuator was effectively applied to the fluid transfer mechanism of the valveless type micro pump throughout this research.

• Journal of information and communication convergence engineering
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• v.11 no.2
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• pp.124-131
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• 2013

Extraction and representation of postures and/or gestures from human activities in videos have been a focus of research in this area of action recognition. With various applications cropping up from different fields, this paper seeks to improve the performance of these action recognition machines by proposing a shape-based silhouette-edge descriptor for the human body. Information entropy, a method to measure the randomness of a sequence of symbols, is used to aid the selection of vital key postures from video frames. Morphological operations are applied to extract and stack edges to uniquely represent different actions shape-wise. To classify an action from a new input video, a Hausdorff distance measure is applied between the gallery representations and the query images formed from the proposed procedure. The method is tested on known public databases for its validation. An effective method of human action annotation and description has been effectively achieved.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2010.10a
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• pp.244-247
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• 2010

In this paper, propose for the international standards of security and reliability SEED block cipher algorithm is applied to the ICMP. This paper is improve security, reliability and user comfort of weakness existing integrated case management system on spring based java framework technology. As a result, part of the user interface to improve performance and can be applied to real world applications.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.724-726
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• 2023

컴퓨터 비전 문제 중 이미지 분류는 핵심적인 주제 중 하나이다. 딥러닝의 발전으로 이미지 분류 문제에서 높은 정확도와 성능을 보여준다. 하지만 대부분 이미지 분류 연구에서 시각정보인 이미지 내의 특징에만 의존하고 있다. 그렇기에 이미지의 본질적인 맥략과 함께 있는 텍스트 정보를 활용하지 못하는 경우도 있다. 이에 본 논문은 텍스트 정보를 활용하여 이미지 분류 성능을 개선하는 방식을 제안한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.230-231
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• 2023

악성코드를 탐지하는 기법 중 동적 분석데이터와 같은 시계열 데이터는 프로그램마다 호출되는 API의 수가 모두 다르다. 하지만 딥러닝 모델을 통해 분석할 때는 모델의 입력이 되는 데이터의 크기가 모두 같아야 한다. 이에 본 논문은 TF-IDF(Term Frequency-Inverse Document Frequency)와 슬라이딩 윈도우 기법을 이용해 프로그램의 동적 특성을 유지하면서 데이터의 길이를 일정하게 만들 수 있는 전처리 기법과 LSTM(Long Short-Term Memory) 모델을 통해 정확도(Accuracy) 95.89%, 재현율(Recall) 97.08%, 정밀도(Precision) 95.9%, F1-score 96.48%를 달성했다.

• Proceedings of the KIEE Conference
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• 2011.07a
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• pp.1025-1026
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• 2011

Monte Calrlo Simulation (MCS) and Sensitivity-based MCS (SMCS) are studied and compared in this paper. Quantitative analysis of the influence factors for reliability calculation accuracy is performed through a analytic function and finally applied to TEAM problem 22.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06d
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• pp.262-264
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• 2012

Dynamic spectrum access and cognitive radio is a viable solution to solve congestion in ISM band. The dynamic environment of multi-channel wireless LAN is modeled by using continuous time Markov process. Bayes theorem is applied to infer channel access decisions dynamically to ensure current data transmission is switched to only likely candidate channels.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.04a
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• pp.426-429
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• 2016

본 논문에서는 기 연구된 비만환자를 대상으로한 다양한 운동 변인별 효과크기 메타 분석 데이터를 활용하여 DB를 설계하고, 설계된 DB를 사용하여 사용자들에게 다양한 조건별 상황에서 최적의 운동처방을 효과적으로 표현할 수 있는 운동처방 알고리즘을 제안한다.

• Proceedings of the Acoustical Society of Korea Conference
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• 1994.06a
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• pp.1003-1008
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• 1994

This paper is about an experiment of speaker-independent automation Korean spoken words recognition using Multi-Layered Perceptron and Error Back-propagation algorithm. The words were not segmented into syllables or phonemes, and some feature components extracted from the words in equal gap were applied to the neural network. This paper tried to find out the optimum conditions through various experiment which are comparison between total and pre-classified training.