• Title/Summary/Keyword: Engineering liberal arts

Search Result 408, Processing Time 0.03 seconds

An Improved Joint Bayesian Method using Mirror Image's Features (미러영상 특징을 이용한 Joint Bayesian 개선 방법론)

  • Han, Sunghyu;Ahn, Jung-Ho
    • Journal of Digital Contents Society
    • /
    • v.16 no.5
    • /
    • pp.671-680
    • /
    • 2015
  • The Joint Bayesian[1] method was published in 2012. Since then, it has been used for binary classification in almost all state-of-the-art face recognition methods. However, no improved methods have been published so far except 2D-JB[2]. In this paper we propose an improved version of the JB method that considers the features of both the given face image and its mirror image. In pattern classification, it is very likely to make a mistake when the value of the decision function is close to the decision boundary or the threshold. By making the value of the decision function far from the decision boundary, the proposed method reduces the errors. The experimental results show that the proposed method outperforms the JB and 2D-JB methods by more than 1% in the challenging LFW DB. Many state-of-the-art methods required tons of training data to improve 1% in the LFW DB, but the proposed method can make it in an easy way.

Multimodal approach for blocking obscene and violent contents (멀티미디어 유해 콘텐츠 차단을 위한 다중 기법)

  • Baek, Jin-heon;Lee, Da-kyeong;Hong, Chae-yeon;Ahn, Byeong-tae
    • Journal of Convergence for Information Technology
    • /
    • v.7 no.6
    • /
    • pp.113-121
    • /
    • 2017
  • Due to the development of IT technology, harmful multimedia contents are spreading out. In addition, obscene and violent contents have a negative impact on children. Therefore, in this paper, we propose a multimodal approach for blocking obscene and violent video contents. Within this approach, there are two modules each detects obsceneness and violence. In the obsceneness module, there is a model that detects obsceneness based on adult and racy score. In the violence module, there are two models for detecting violence: one is the blood detection model using RGB region and the other is motion extraction model for observation that violent actions have larger magnitude and direction change. Through result of these three models, this approach judges whether or not the content is harmful. This can contribute to the blocking obscene and violent contents that are distributed indiscriminately.

The Properties of GaN Grown by BVPE Method on the Si(111) Substrate with Pre-deposited Al Layer (Al 박막이 증착 된 Si(111) 기판 위에 HVPE 방법으로 성장한 GaN의 특성)

  • Shin Dae Hyun;Baek Shin Young;Lee Chang Min;Yi Sam Nyung;Kang Nam Lyong;Park Seoung Hwan
    • Journal of the Korean Vacuum Society
    • /
    • v.14 no.4
    • /
    • pp.201-206
    • /
    • 2005
  • In this work, we tried to improve the fabrication process in HVPE (Hydride Vapor Phase Epitaxy) system by using Si(111) substrate with pre-deposited Al layer. PL measurements was done for samples with and without pre-deposited Al on Si and it was also examined the dependence of the optical characteristic properties on AlN buffer thickness for GaN/AIN/Al/Si. A sample with thin Al nucleation layer on Si substrate reveals a better optical property than the other. And it suggests that the thickness for AlN buffer layer with thin Al nucleation layer on Si(111) substrate is most proper about $260{\AA}$ to grow GaN in HVPE system. The surface morphology of GaN clearly shows the hexagonal crystallization. The XRD pattern showed strong peak at GaN{0001} direction.

A CHANGE OF SCALE FORMULA FOR CONDITIONAL WIENER INTEGRALS ON CLASSICAL WIENER SPACE

  • Yoo, Il;Chang, Kun-Soo;Cho, Dong-Hyun;Kim, Byoung-Soo;Song, Teuk-Seob
    • Journal of the Korean Mathematical Society
    • /
    • v.44 no.4
    • /
    • pp.1025-1050
    • /
    • 2007
  • Let $X_k(x)=({\int}^T_o{\alpha}_1(s)dx(s),...,{\int}^T_o{\alpha}_k(s)dx(s))\;and\;X_{\tau}(x)=(x(t_1),...,x(t_k))$ on the classical Wiener space, where ${{\alpha}_1,...,{\alpha}_k}$ is an orthonormal subset of $L_2$ [0, T] and ${\tau}:0 is a partition of [0, T]. In this paper, we establish a change of scale formula for conditional Wiener integrals $E[G_{\gamma}|X_k]$ of functions on classical Wiener space having the form $$G_{\gamma}(x)=F(x){\Psi}({\int}^T_ov_1(s)dx(s),...,{\int}^T_o\;v_{\gamma}(s)dx(s))$$, for $F{\in}S\;and\;{\Psi}={\psi}+{\phi}({\psi}{\in}L_p(\mathbb{R}^{\gamma}),\;{\phi}{\in}\hat{M}(\mathbb{R}^{\gamma}))$, which need not be bounded or continuous. Here S is a Banach algebra on classical Wiener space and $\hat{M}(\mathbb{R}^{\gamma})$ is the space of Fourier transforms of measures of bounded variation over $\mathbb{R}^{\gamma}$. As results of the formula, we derive a change of scale formula for the conditional Wiener integrals $E[G_{\gamma}|X_{\tau}]\;and\;E[F|X_{\tau}]$. Finally, we show that the analytic Feynman integral of F can be expressed as a limit of a change of scale transformation of the conditional Wiener integral of F using an inversion formula which changes the conditional Wiener integral of F to an ordinary Wiener integral of F, and then we obtain another type of change of scale formula for Wiener integrals of F.

Image retrieval based on a combination of deep learning and behavior ontology for reducing semantic gap (시맨틱 갭을 줄이기 위한 딥러닝과 행위 온톨로지의 결합 기반 이미지 검색)

  • Lee, Seung;Jung, Hye-Wuk
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
    • /
    • v.9 no.11
    • /
    • pp.1133-1144
    • /
    • 2019
  • Recently, the amount of image on the Internet has rapidly increased, due to the advancement of smart devices and various approaches to effective image retrieval have been researched under these situation. Existing image retrieval methods simply detect the objects in a image and carry out image retrieval based on the label of each object. Therefore, the semantic gap occurs between the image desired by a user and the image obtained from the retrieval result. To reduce the semantic gap in image retrievals, we connect the module for multiple objects classification based on deep learning with the module for human behavior classification. And we combine the connected modules with a behavior ontology. That is to say, we propose an image retrieval system considering the relationship between objects by using the combination of deep learning and behavior ontology. We analyzed the experiment results using walking and running data to take into account dynamic behaviors in images. The proposed method can be extended to the study of automatic annotation generation of images that can improve the accuracy of image retrieval results.

Intrusion Situation Classification Model for Intelligent Intrusion Awareness (지능적인 침입 인지를 위한 침입 상황 분류 모델)

  • Hwang, Yoon-Cheol;Mun, Hyung-Jin
    • Journal of Convergence for Information Technology
    • /
    • v.9 no.3
    • /
    • pp.134-139
    • /
    • 2019
  • As the development of modern society progresses rapidly, the technologies of society as a whole are progressing and becoming more advanced. Especially in the field of security, more sophisticated and intelligent attacks are being created. Meanwhile, damaging situations are becoming several times larger than before Therefore, it is necessary to re-classify and enhance the existing classification system. It is required to minimize the intrusion damage by actively responding to intelligent intrusions by applying this classification scheme to currently operating intrusion detection systems. In this paper, we analyze the intrusion type caused by intelligent attack We propose a new classification scheme for intrusion situations to guarantee the service safety, reliability, and availability of the target system, We use this classification model to lay the foundations for the design and implementation of a smart intrusion cognitive system capable of early detection of intrusion, the damages caused by intrusion, and more collections active response.

A Study on Basic Strategy and Policy Direction for Incheon Port's Cruise Industry Development (인천항 크루즈산업 발전을 위한 기본 전략과 정책방향에 관한 연구)

  • Choi, Jong Chon;Heo, Hoon
    • Journal of Digital Convergence
    • /
    • v.17 no.3
    • /
    • pp.63-71
    • /
    • 2019
  • The cruise industry is a future-oriented convergence industry based on tourism and shipping, and has attracted great attention not only in the global market but also in Korea. The rapid growth of Asian cruise population, especially in China, has had a considerable impact on both the global market as well as the Korean market. With the recent THAAD problem, the need for diversification of the market has been raised as the entry of cruise tourists from China has been greatly reduced. It is also time for a more systematic and comprehensive development strategy ahead of the opening of the new cruise terminal. This study draws out the problems based on the interviews with experts such as prefectures, travel agencies, and related organizations, as well as analyzing literature on domestic and overseas government plans, policy reports, and research data. Then, the SWOT analysis is used to develop the development strategy and explore the policy support direction. The research scope can be extended to sustainable development model through wider linkage of mid to long term strategy and policy.

Prediction of the Suitable Habitats of Marine Invasive Species, Ciona robusta based on RCP Scenarios (RCP 시나리오에 따른 해양교란생물 유령멍게(Ciona robusta)의 서식지 분포 예측)

  • Park, Ju-Un;Hong, Jinsol;Kim, Dong Gun;Yoon, Tae Joong;Shin, Sook
    • Korean Journal of Environmental Biology
    • /
    • v.36 no.4
    • /
    • pp.687-693
    • /
    • 2018
  • The active development of the global marine trade industries has been known to increase the inflows of marine invasive species and harmful organisms into the ecosystem, and the marine ecological disturbances. One of these invasive species, Ciona robusta, has now spread to the Korea Strait, the East Sea, and Jeju Island in connection with the climate change but not the Yellow Sea in Korea. Currently, the spread and distribution of C. robusta is increasingly damaging aquaculture and related facilities. Therefore, this study aims to identify the spread of C. robusta and potential habitats and to secure a data for the prevention of effective management measures due to climate change as well as damage the reduction in future through the prediction of spread. We used environmental variables in BioOracle. Also, the potential habitat and distribution of C. robusta was predicted using MaxEnt, a species distribution model. Two different RCP scenarios(4.5 and 8.5) were specified to predict the future distributions of C. robusta. The results showed that the biggest environmental factor affecting the distribution of C. robusta was the salinity as well as the highest distribution and potential habitats existent in the East Sea and around Jeju Island.

The Impact of Entrepreneurial Spirit on the Willingness to Start Up via Utilizing Knowledge and Information by College Students: Focused on Self-leadership's Mediating Effect and Regulating Effect of Gender

  • Song, Deok-Geon;Im, Jin-hyuk;Lee, Jin-Hong;Kwon, Hyuk
    • International Journal of Knowledge Content Development & Technology
    • /
    • v.8 no.4
    • /
    • pp.33-53
    • /
    • 2018
  • Since business startups are known to have positive effects on the economic growth of a country, it is necessary to review the factors influencing the willingness to start new businesses for the people to act on business startups. In this regard, the study sought to reexamine the findings of previous research showing that the innovative, initiative, and risk-taking characteristics, which are the constitutive elements of entrepreneurships, influence the willingness to start up. Furthermore, in this study, attempts were made to empirically analyze the direct and indirect relationships of self-leadership influencing the willingness to start new businesses. Consequently, first, it showed that college students' entrepreneurship has positive effects on the willingness to start new businesses. Second, the significance of the gender of college students was not confirmed as to playing a regulating role in the relationship between entrepreneurship and the willingness to start up. Third, the relationship between self-leadership and the willingness to start new businesses was validated to be significant in a positive direction. Fourth, no mediating effect of self-leadership in the relationship between entrepreneurship and the willingness to start new businesses was observed. Such research results have the following significances. First, while there is an awareness that the concepts of business start- up, entrepreneurship, and leadership carry masculinity, the lack of regulating effect of gender may reflect the changing phases of time and society where women's participation has been increasing. Second, self-leadership is a concept by which one pioneers his or her own life and an influencing factor on the willingness to start up; however, since it has enormous impacts on the entrepreneurship and willingness to start up, relevant mediating effects were not observed and the magnitude of the important influence between entrepreneurship and the willingness to start up were confirmed.

Directions of Convergence Technology Education related to New Industry Field through Analysis of Industrial Needs (산업체 요구분석을 통한 신산업 융합기술교육의 방향)

  • Jin, Sung-Hee
    • Journal of the Korea Convergence Society
    • /
    • v.10 no.8
    • /
    • pp.105-113
    • /
    • 2019
  • Convergence education, which is operated by many engineering colleges, is mainly led by government-led projects. Convergence majors are established in consideration of the research field of the university professors rather than systematically analyzing the needs of the industry. The purpose of this study is to present the directions of convergence technology education related to new industry fields by analyzing industry needs. Participants were 299 industrial workers in various fields. Instrument consisted of three parts: necessity for convergence education, demand for convergence new technology education from industry perspective, and opinions about undergraduate convergence education. As a result, it was found that the level of awareness of industry needs for fusion technology education was high, and it was confirmed that there is a high demand for IoT convergence, bio-health, advanced new material, and renewable energy fields among convergence technology fields. In addition, the results of the industry demand for convergence new technology education were presented. The suggestions for expectations, problems, and improvements in undergraduate education were presented and implications for convergence technology education were discussed based on the results of the study.