• Journal of Computing Science and Engineering
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• 제7권3호
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• pp.177-186
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• 2013

We briefly review the problem of statistical disclosure control under differential privacy model, which entails a formal and ad omnia privacy guarantee separating the utility of the database and the risk due to individual participation. It has born fruitful results over the past ten years, both in theoretical connections to other fields and in practical applications to real-life datasets. Promises of differential privacy help to relieve concerns of privacy loss, which hinder the release of community-valuable data. This paper covers main ideas behind differential privacy, its interactive versus non-interactive settings, perturbation mechanisms, and typical applications found in recent research.

• International Journal of Computer Science & Network Security
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• 제21권1호
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• pp.97-106
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• 2021

Social networking platforms have become a smart way for people to interact and meet on internet. It provides a way to keep in touch with friends, families, colleagues, business partners, and many more. Among the various social networking sites, Twitter is one of the fastest-growing sites where users can read the news, share ideas, discuss issues etc. Due to its vast popularity, the accounts of legitimate users are vulnerable to the large number of threats. Spam and Malware are some of the most affecting threats found on Twitter. Therefore, in order to enjoy seamless services it is required to secure Twitter against malicious users by fixing them in advance. Various researches have used many Machine Learning (ML) based approaches to detect spammers on Twitter. This research aims to devise a secure system based on Hybrid Similarity Cosine and Soft Cosine measured in combination with Genetic Algorithm (GA) and Artificial Neural Network (ANN) to secure Twitter network against spammers. The similarity among tweets is determined using Cosine with Soft Cosine which has been applied on the Twitter dataset. GA has been utilized to enhance training with minimum training error by selecting the best suitable features according to the designed fitness function. The tweets have been classified as spammer and non-spammer based on ANN structure along with the voting rule. The True Positive Rate (TPR), False Positive Rate (FPR) and Classification Accuracy are considered as the evaluation parameter to evaluate the performance of system designed in this research. The simulation results reveals that our proposed model outperform the existing state-of-arts.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2005년도 ICCAS
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• pp.215-220
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• 2005

Nowadays, various speech processing systems are being introduced in the fields of robotics. However, real-time processing and high performances are required to properly implement speech processing system for the autonomous robots. Achieving these goals requires advanced hardware techniques including intelligent software algorithms. For example, we need nonlinear amplifier boards which are able to adjust the compression radio (CR) via computer programming. And the necessity for noise reduction, double-buffering on EPLD (Erasable programmable logic device), simultaneous multi-channel AD conversion, distant sound localization will be explained in this paper. These ideas can be used to improve distant and omni-directional speech recognition. This speech processing system, based on embedded Linux system, is supposed to be mounted on the new home service robot, which is being developed at KIST (Korea Institute of Science and Technology)

• International journal of advanced smart convergence
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• 제8권2호
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• pp.170-182
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• 2019

In this paper, we use scratch to design and develop non-formal learning experiences that are linked with contents of secondary science textbook to educational programs. The goal of this paper is to develop a convenient and interesting program for non-formal learning in a learning environment using various smart device. Theoretical approaches to mobile education, such as smartphones, and smart education support policies continue to lead to various research efforts. Although most of the smart education systems developed for students who have difficulty in academic performance are utilized, they are limited to general students. To solve the problem, the learning environment was implanted by combining the scratch, which is an educational programming that can be easily written. The science education program proposed in this paper shows the result of process of programming using ICT device using scratch programming. In the evaluation stage, we were able to display the creations and evaluate each other, so that we could refine them more by sharing the completed ideas.

• 한국수학교육학회지시리즈D:수학교육연구
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• 제12권1호
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• pp.67-83
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• 2008

Promoting students' mathematics understanding is an important research theme in mathematics education. According to general theories of learning, mathematics understanding is close to active learning or significant learning. Thus, if a teacher wants to promote his/her students' mathematics understanding, he/she should pay attention to the students so that the students' thinking is in active situation. In the first part of this paper, some mathematics teachers' ideas about paying attention to their students in Chinese high school are given by questionnaire and interview. In the second part of this paper, we give some teaching episodes about how experienced mathematics teachers promote their students' mathematics understanding based on paying attention on them.

• 한국수학교육학회지시리즈D:수학교육연구
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• 제3권1호
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• pp.1-8
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• 1999

The present study extends previous research in this area by investigating perceptions of change and reactions to reform efforts by pre-service and practicing secondary school mathematics teachers in the People's Republic of China (PRC) and the United States of America. Interviews were used to gather data about school experiences, teaching practices, and planned changes in mathematics programs. Analysis of the interview data supported earlier findings with respect to the well-planned nature of lessons by PRC teachers and the influence of mathematics contents and examination systems in the PRC. Findings also indicated a general agreement among teachers from both countries favoring less lecturing and more discussion and interactive activities. There were contrasts by nationality in descriptions of future teaching, ideal lessons, sources of teaching ideas, and preferences about school mathematics programs.

• 한국컴퓨터정보학회논문지
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• 제25권5호
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• pp.1-9
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• 2020

본 논문에서는 머리카락과 모자 영역의 마스크 정보를 활용하여 더 자연스러운 얼굴 속성 편집(facial attribute editing)을 수행하는 모델을 제안한다. 최신 얼굴 속성 편집 연구인 STGAN은 다중 얼굴 속성을 자연스럽게 편집하는 성과를 보였다. 그러나 머리카락과 관련된 속성을 편집할 때 부자연스러운 결과를 생성할 수 있다. 제안하는 방법의 핵심 아이디어는 기존 모델에서 부족했던 얼굴 영역의 정보를 모델에 추가로 반영하는 것이다. 이를 위해 세 가지 아이디어를 적용한다. 첫째로 마스크를 통해 머리카락 면적 속성을 추가하여 머리카락 정보를 보완한다. 둘째로 순환 일관성 손실(cycle consistency loss)을 추가하여 영상의 불필요한 변화를 억제한다. 셋째로 모자 분할 신경망을 추가하여 모자 영역 왜곡을 방지한다. 정성적 평가를 통해 제안하는 방법 적용 여부에 따른 유효성을 평가 및 분석한다. 실험 결과에서 제안하는 방법이 머리카락 및 얼굴 영역을 더 자연스럽게 생성하고, 모자 영역의 왜곡을 성공적으로 방지했다.

• 한국산학기술학회논문지
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• 제19권8호
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• pp.322-328
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• 2018

본 연구의 목적은 구글 클래스룸(GC)을 기반으로 문제중심학습(PBL)의 평가를 조사하는 것입니다. GC는 쉽고 자유로운 온라인 학습으로 최근 교육과 훈련에 중요한 역할을 하고 있다. 학생들은 아이디어와 자원을 공유하고, 도메인 전체에 걸쳐 지식을 적극적으로 전달하고 PBL의 주어진 문제에 대한 해결책을 연구하면서 점점 더 자기 주도적인 학습에 독립적이 된다. 학생들은 과제 페이지에서 제출일을 확인하고 클릭 한 번으로 과제를 시작할 수 있고 선생님은 과제 완료 여부를 빠르게 확인할 수 있으며 GC에서 점수를 바로 매길 수 있다. 본 연구에서는 GC를 기반으로 한 PBL의 평가를 설계하였다. 학생들은 주어진 자료를 읽고 과목의 목적을 파악하여 학습 문제를 조사한다. 그 후에 그들은 주제를 토론하고 보고서를 작성하여 연구 논문, 책, 인터넷 자료를 가지고 그것들을 공부한다. 연구 결과는 GC에 기반을 둔 PBL이 함께 학습하는 데 효과적이라는 것을 보여 주었다. 학생들은 PBL학습 환경에서 긍정적인 태도를 보였다. 이 연구는 GC에서 PBL평가의 개발이 가능하다는 것을 제안한다.

• 유통과학연구
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• 제20권5호
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• pp.85-96
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• 2022

Purpose: This study aims to dissemination a new concept based on empirical research on enhancing entrepreneurship intention (EI) in the theory of planned behavior (TPB) through entrepreneurship mindset (EM) and task technology fit (TTF). The TTF is a moderating variable in strengthening the relationship between EM and EI. Research design, data, and methodology: This research design was quantitative research. The respondents were 202 students from Malaysia and Indonesia who had filled out and collected an online questionnaire in Microsoft form. Three hypotheses examined the direct influence and the indirect impact of EM on EI through antecedent variables of TPB, and the effect of TTF as moderating variable to enhance the relationship between EM and EI. The data was analyzed using the WarpPLS version 7.0. Results: The result showed that EM had a significant impact on the students' EI. The interaction of EM and TTF was significantly able to improve EI. Conclusions: The findings contributed new ideas to develop the theoretical framework of the TPB model and were able be utilized by lecturers to consider the integration of EM and TTF in the model. The novelty of this study elaborated the EM and TTF variables as an extended model of the TPB.

• International Journal of Contents
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• 제6권2호
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• pp.1-5
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• 2010

The rapid growth in communication technology has led to the development of effective ways of sharing ideas and information in the form of speech and images. Understanding this information has become an important research issue and drawn the attention of many researchers. Text in a digital image contains much important information regarding the scene. Detecting and extracting this text is a difficult task and has many challenging issues. The main challenges in extracting text from natural scene images are the variation in the font size, alignment of text, font colors, illumination changes, and reflections in the images. In this paper, we propose a connected component based method to automatically detect the text region in natural images. Since text regions in mages contain mostly repetitions of vertical strokes, we try to find a pattern of closely packed vertical edges. Once the group of edges is found, the neighboring vertical edges are connected to each other. Connected regions whose geometric features lie outside of the valid specifications are considered as outliers and eliminated. The proposed method is more effective than the existing methods for slanted or curved characters. The experimental results are given for the validation of our approach.