• 한국통신학회:학술대회논문집
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• 한국통신학회 2004년도 하계종합학술발표회논문초록집
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• pp.23-23
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• 2004

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권4호
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• pp.1704-1720
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• 2020

Recognizing food from photographs presents many applications for machine learning, computer vision and dietetics, etc. Recent progress of deep learning techniques accelerates the recognition of food in a great scale. We build a hierarchical structure composed of deep CNN to recognize and classify food from photographs. We build a dataset for Korean food of 18 classes, which are further categorized in 4 major classes. Our hierarchical recognizer classifies foods into four major classes in the first step. Each food in the major classes is further classified into the exact class in the second step. We employ DenseNet structure for the baseline of our recognizer. The hierarchical structure provides higher accuracy and F1 score than those from the single-structured recognizer.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1998년도 제13차 학술회의논문집
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• pp.26-29
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• 1998

This paper proposes a novel method to efficiently develop GUI based control software for a legged mobile robot. Although GUI is convenient it is a very burden to both a computer and its developer. In case of the mobile robot, these problems are more serious. The proposed method solves these problems by separating GUI from control software. An implementation based upon the proposed method demonstrates its effectiveness.

• International Journal of Computer Science & Network Security
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• 제23권1호
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• pp.125-139
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• 2023

Facial expression recognition, a topical problem in the field of computer vision and pattern recognition, is a direct means of recognizing human emotions and behaviors. This paper first summarizes the datasets commonly used for expression recognition and their associated characteristics and presents traditional machine learning algorithms and their benefits and drawbacks from three key techniques of face expression; image pre-processing, feature extraction, and expression classification. Deep learning-oriented expression recognition methods and various algorithmic framework performances are also analyzed and compared. Finally, the current barriers to facial expression recognition and potential developments are highlighted.

• International Journal of Computer Science & Network Security
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• 제24권3호
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• pp.211-223
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• 2024

Chatbots have become very popular in our times and are used in several fields. The emergence of chatbots has created a new way of communicating between human and computer interaction. A Chatbot also called a "Chatter Robot," or conversational agent CA is a software application that mimics human conversations in its natural format, which contains textual material and oral communication with artificial intelligence AI techniques. Generally, there are two types of chatbots rule-based and smart machine-based. Over the years, several chatbots designed in many languages for serving various fields such as medicine, entertainment, and education. Unfortunately, in the Arabic chatbots area, little work has been done. In this paper, we developed a beneficial tool (chatBot) in the Arabic language which contributes to educating people about the Prophet's biography providing them with useful information by using Natural Language Processing.

• JSTS:Journal of Semiconductor Technology and Science
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• 제16권6호
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• pp.745-753
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• 2016

This paper presents a fully synthesizable low power interconnect bus for millimeter-scale wireless sensor nodes. A segmented ring bus topology minimizes the required chip real estate with low input/output pad count for ultra-small form factors. By avoiding the conventional open drain-based solution, the bus can be fully synthesizable. Low power is achieved by obviating a need for local oscillators in member nodes. Also, aggressive power gating allows low-power standby mode with only 53 gates powered on. An integrated wakeup scheme is compatible with a power management unit that has nW standby mode. A 3-module system including the bus is fabricated in a 180 nm process. The entire system consumes 8 nW in standby mode, and the bus achieves 17.5 pJ/bit/chip.

• 대한수학회지
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• 제29권1호
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• pp.1-8
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• 1992

• International Journal of Computer Science & Network Security
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• 제24권4호
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• pp.67-76
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• 2024

Diabetic retinopathy is a threatening complication of diabetes, caused by damaged blood vessels of light sensitive areas of retina. DR leads to total or partial blindness if left untreated. DR does not give any symptoms at early stages so earlier detection of DR is a big challenge for proper treatment of diseases. With advancement of technology various computer-aided diagnostic programs using image processing and machine learning approaches are designed for early detection of DR so that proper treatment can be provided to the patients for preventing its harmful effects. Now a day machine learning techniques are widely applied for image processing. These techniques also provide amazing result in this field also. In this paper we discuss various machine learning and deep learning based techniques developed for automatic detection of Diabetic Retinopathy.

• 정보교육학회논문지
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• 제23권4호
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• pp.385-394
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• 2019

1960년대부터 시작된 프랑스의 컴퓨터교육은 2018년이 되어 초중등을 아우르는 교육시스템이 완성되었다. 프랑스가 산업화된 이후 지금까지 약 60년을 미래사회를 대비하기 위한 핵심역량으로서의 컴퓨터교육에 대한 교수 학습방법과 체제 구축에 대한 연구를 진행해왔으며 크게 네가지의 시사점을 살펴볼 수 있다. 첫째, 학교 급별 위계를 토대로 달성해야할 각각의 성취목표를 설정하였다. 둘째, 프랑스의 컴퓨터교육의 전격적인 도입 및 확산을 위하여 교육과정이 발표된지 3년만에 컴퓨터교육의 도입이 완성되었다. 셋째, 컴퓨터 소양과 컴퓨터과학의 개념에 대한 균형을 토대로 알고리즘을 프로그래밍 하는 과정을 통해 문제해결력을 신장시킬 수 있도록 제시하였다. 넷째, 컴퓨터교육의 융합에 대한 내용은 초등학교 저학년에서 다루도록 하고 학년 및 학교급이 높아질수록 컴퓨터소양 및 컴퓨터과학의 개념에 대한 이해와 프로그래밍의 심화가 이루어지도록 제시되어 있다.

• Genomics & Informatics
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• 제7권3호
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• pp.171-174
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• 2009

The characteristics of metabolic pathways make them particularly amenable to layered graph drawing methods. This paper presents a visual Java-based tool for drawing and annotating biological pathways in two- and a-half dimensions (2.5D) as an alternative to three-dimensional (3D) visualizations. Such visualization allows user to display different groups of clustered nodes, in different parallel planes, and to see a detailed view of a group of objects in focus and its place in the context of the whole system. This tool is an extended version of J2dPathway.