• Title/Summary/Keyword: Box Feature

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A Source Code Cross-site Scripting Vulnerability Detection Method

  • Mu Chen;Lu Chen;Zhipeng Shao;Zaojian Dai;Nige Li;Xingjie Huang;Qian Dang;Xinjian Zhao
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.17 no.6
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    • pp.1689-1705
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    • 2023
  • To deal with the potential XSS vulnerabilities in the source code of the power communication network, an XSS vulnerability detection method combining the static analysis method with the dynamic testing method is proposed. The static analysis method aims to analyze the structure and content of the source code. We construct a set of feature expressions to match malignant content and set a "variable conversion" method to analyze the data flow of the code that implements interactive functions. The static analysis method explores the vulnerabilities existing in the source code structure and code content. Dynamic testing aims to simulate network attacks to reflect whether there are vulnerabilities in web pages. We construct many attack vectors and implemented the test in the Selenium tool. Due to the combination of the two analysis methods, XSS vulnerability discovery research could be conducted from two aspects: "white-box testing" and "black-box testing". Tests show that this method can effectively detect XSS vulnerabilities in the source code of the power communication network.

Machine Learning based Traffic Light Detection and Recognition Algorithm using Shape Information (기계학습 기반의 신호등 검출과 형태적 정보를 이용한 인식 알고리즘)

  • Kim, Jung-Hwan;Kim, Sun-Kyu;Lee, Tae-Min;Lim, Yong-Jin;Lim, Joonhong
    • Journal of IKEEE
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    • v.22 no.1
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    • pp.46-52
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    • 2018
  • The problem of traffic light detection and recognition has recently become one of the most important topics in various researches on autonomous driving. Most algorithms are based on colors to detect and recognize traffic light signals. These methods have disadvantage in that the recognition rate is lowered due to the change of the color of the traffic light, the influence of the angle, distance, and surrounding illumination environment of the image. In this paper, we propose machine learning based detection and recognition algorithm using shape information to solve these problems. Unlike the existing algorithms, the proposed algorithm detects and recognizes the traffic signals based on the morphological characteristics of the traffic lights, which is advantageous in that it is robust against the influence from the surrounding environments. Experimental results show that the recognition rate of the signal is higher than those of other color-based algorithms.

A Study on the Structure and Function of the Underground Storage Facility in Baekje (백제 지하저장시설(地下貯藏施設)의 구조와 기능에 대한 검토)

  • Shin, Jong-Kuk
    • Korean Journal of Heritage: History & Science
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    • v.38
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    • pp.129-156
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    • 2005
  • Increasing discovery cases of underground storage facilities made of earth, wood, or stone are being reported from the recent excavation survey of the Baekje relics. Accordingly, the purpose of this study is to examine the structure and function of the underground storage facilities of Baekje following a classification made by the type and building method as follows: plask shape, wooden box shape, and stone box shape. The plask shape storage is the most representative underground storage of Baekje that has been found in numerous relics more than 600 sets around Hangang(Han River) and Geumgang(Geum River) from the Hansung period to Sabi period in Baekje Dynasty. It is a historical artefact as a part of the unique storage culture of Baekje around Hangang and Geumgang from the 3rd to 7th Century. Considering its structure and the example of Chinese one, it might had been used for a long-term storage of grains and various other items including earth wares. The storage facility in wooden box shape and stone box shape are found mostly in the relics Of Sabi period. Thus it might had taken some functions of the storage in traditional pouch shape which had decreased after the 6th Century. In particular, the wooden box shape and stone box shape storage required enormous labor force to build owing to their structure and building method. Thus, they were considered to had been used for official purposes in province fortress and citadel artefact. The wooden box shape storage facility is classified into flat rectangular type and square type based on the structure, and into Gagu type(架構式) and Juheol type(柱穴式) based on the building method. It might had been decided according to the geography and geological feature of the place where the storage was to be built. Considering the examples of Gwanbuk-ri relics and Weolpyong-dong relics, the wooden box shape storage facility might had been used for various items depending on the needs, including foods such as fruits and essential provisions at the military base. Considering the long-term food storage, the examples in Japan, and the functional characteristics of the underground storage facility, there is a possibility that the wooden and stone box shape storage facilities had been built so as to safely store important items in case of fire. This study is only a rudimentary examination for the storage facility in Baekje. Thus further studies are to be made specifically and comprehensively on the comparison with other regions, distribution pattern, discovered relics and artefacts, and functions.

Classification of Trucks using Convolutional Neural Network (합성곱 신경망을 사용한 화물차의 차종분류)

  • Lee, Dong-Gyu
    • Journal of Convergence for Information Technology
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    • v.8 no.6
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    • pp.375-380
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    • 2018
  • This paper proposes a classification method using the Convolutional Neural Network(CNN) which can obtain the type of trucks from the input image without the feature extraction step. To automatically classify vehicle images according to the type of truck cargo box, the top view images of the vehicle are used as input image and we design the structure of the CNN suitable for the input images. Learning images and correct output results is generated and the weights of neural network are obtained through the learning process. The actual image is input to the CNN and the output of the CNN is calculated. The classification performance is evaluated through comparison CNN output with actual vehicle types. Experimental results show that vehicle images could be classified with more than 90 percent accuracy according to the type of cargo box and this method can be used for pre-classification for inspecting loading defect.

Cracking Behavior of Concrete Box Culvert for Power Transmission Due to Drying Shrinkage (전력구 콘크리트 구조물의 건조수축 균열특성에 관한 연구)

  • Woo, Sang-Kyun;Chu, In-Yeop;Kim, Ki-Jung;Lee, Yun
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.20 no.1
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    • pp.1-8
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    • 2016
  • The purpose of this study is to predict the cracking behavior and suggest the method of controlling the cracking in concrete box culvert for power transmission due to differential drying shrinkage. Drying shrinkage cracking is mainly influenced by the moisture diffusion coefficient that determines moisture diffusion rate inside concrete structures. In addition to the diffusion coefficient, surface coefficient of concrete surface and relative humidity of ambient air simultaneously affect the moisture evaporation from concrete inside to external air outside. Within the framework of drying shrinkage cracking mechanism, it is necessary to perform the numerical analysis, which involves these three influencing factors to predict and control the shrinkage cracking of concrete. In this study, moisture diffusion and stress analysis cor responding to drying shrinkage on concrete box culvert are performed with consideration of diffusion coefficient, surface coefficient, and relative humidity of ambient air. From the numerical results, it is found that cracking behavior due to differential drying shrinkage of box culvert shows the different feature according to three influencing factors and the methodology of controlling of drying shrinkage cracks can be suggested from this study.

Comparison between the director Cheong-gi Kim's and Narration of Bible (김청기 감독의 <다윗과 골리앗>과 성경의 서사 비교)

  • Park, Jin-Ok
    • Cartoon and Animation Studies
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    • s.16
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    • pp.125-140
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    • 2009
  • In the1970's, Korean movie industry was down because of widely supplied Television. During the time, directed by Kim Cheong-ki was Big hit at the box-office that is bring Korean feature animation industry back to life. In 80's, when new military regime started, SF animation was prohibited to be on air by government because that assumed have bad influences on children, and korean animation industry was faced with recession, such as various imported foreign animations which were on color TV and wildly provided video recorders. At that time, director KIM Cheong-ki try to overcome the recession of animation industry by producing, < David and Goliath>, which was based on the Bible. The Bible, was based on the historical facts and had written by the time flow, that made few changes while it was transformed to a feature animation. Animation does not only reproduce the reality as it is, but also analyzing the story to create a new reliable world, by changing characters, creating new supporting characters, and expanding and reducing of narrative. Despite of such an effort, didn't achieve it's goal at the box office and not satisfied audience either because it was excessive reproduction of the Bible, not standing on the basis of those days social and cultural environment and popularity. This study is aimed at confirming changed narrative shown Kim Cheong-Ki's, and compare it with two other animated, directed by others, so that suggest the new direction of the religious feature animation production.

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Vehicle-Level Traffic Accident Detection on Vehicle-Mounted Camera Based on Cascade Bi-LSTM

  • Son, Hyeon-Cheol;Kim, Da-Seul;Kim, Sung-Young
    • Journal of Advanced Information Technology and Convergence
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    • v.10 no.2
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    • pp.167-175
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    • 2020
  • In this paper, we propose a traffic accident detection on vehicle-mounted camera. In the proposed method, the minimum bounding box coordinates the central coordinates on the bird's eye view and motion vectors of each vehicle object, and ego-motions of the vehicle equipped with dash-cam are extracted from the dash-cam video. By using extracted 4 kinds features as the input of Bi-LSTM (bidirectional LSTM), the accident probability (score) is predicted. To investigate the effect of each input feature on the probability of an accident, we analyze the performance of the detection the case of using a single feature input and the case of using a combination of features as input, respectively. And in these two cases, different detection models are defined and used. Bi-LSTM is used as a cascade, especially when a combination of the features is used as input. The proposed method shows 76.1% precision and 75.6% recall, which is superior to our previous work.

The Study of the Direction of Development of the Korean Feature Length Animation for Movie Theater : in the Case of 〈 Leafle, A Hen into The Wild 〉 (한국 극장용 장편 애니메이션 산업의 발전 방향에 대한 연구: 〈마당을 나온 암탉〉을 중심으로)

  • Kim, Yoon-A;Mok, Hae-Jung
    • Cartoon and Animation Studies
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    • s.26
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    • pp.109-130
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    • 2012
  • The purpose of this study is to suggest the direction of the development of the feature length animation for movie theater by analyzing of the reasons of the success of . released in 2011 has broken box office records by drawing 2 millions since drew 760 thousands in 1976. This can be one of the success model of the animation for movie theater, considering it has had trouble not only in planning ability and scenario power but also in producing environment where subcontracts are prevalent. This box office hit seems to have been possible through cooperation and division of movie crews and animation crews. Many kinds of materials are reviewed and producer Kim Seonku was interviewed for analysis of the reasons of box office success. Followings are five reasons of success found as the result of analysis and the body of this article is composed of the argument and analysis of each. 1.This animation was planned and produced in the same way of commercial feature films. 2.There was detailed division of work while producing 3. Various kinds of investments were made sequentially, 4. Major film distributor like Lotte and CJ could be motivated 5. There were producers who can mediate between the animation and film field This study suggests the direction both in the aspect of industry and the aspect of training professionals as the result of analysis. In the industrial aspect, transitional cooperation is needed between animation filed and film field which can motivate distributor. Industrial approach like planning, investment, distribution and marketing is absolute for the success of animation for movie theater. Also in the aspect of training professionals, curriculum needs to be improved in the university because the ability and passion of the professionals in the field of animation industry are the most important and education is the most approachable way.

A Object-Based Image Retrieval Using Feature Analysis and Fractal Dimension (특징 분석과 프랙탈 차원을 이용한 객체 기반 영상검색)

  • 이정봉;박장춘
    • Journal of Korea Multimedia Society
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    • v.7 no.2
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    • pp.173-186
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    • 2004
  • This paper proposed the content-based retrieval system as a method for performing image retrieval through the effective feature extraction of the object of significant meaning based on the characteristics of man's visual system. To allow the object region of interest to be primarily detected, the region, being comparatively large size, greatly different from the background color and located in the middle of the image, was judged as the major object with a meaning. To get the original features of the image, the cumulative sum of tile declination difference vector the segment of the object contour had and the signature of the bipartite object were extracted and used in the form of being applied to the rotation of the object and the change of the size after partition of the total length of the object contour of the image into the normalized segment. Starting with this form feature, it was possible to make a retrieval robust to any change in translation, rotation and scaling by combining information on the texture sample, color and eccentricity and measuring the degree of similarity. It responded less sensitively to the phenomenon of distortion of the object feature due to the partial change or damage of the region. Also, the method of imposing a different weight of similarity on the image feature based on the relationship of complexity between measured objects using the fractal dimension by the Boxing-Counting Dimension minimized the wrong retrieval and showed more efficient retrieval rate.

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Analysis of the Feature Importance of Occupational Accidents Occurring at Construction Sites on the Severity of Lost Workdays (건설 현장에서 발생한 업무상 재해가 근로손실일수 심각도에 미치는 특징 중요도 분석)

  • Kang, Kyung-Su;Choi, Jae-Hyun;Ryu, Han-Guk
    • Journal of the Korea Institute of Building Construction
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    • v.21 no.2
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    • pp.165-174
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    • 2021
  • The construction industry causes the most accidents and fatalities among all industries. Although many efforts have been made to reduce safety accidents in construction, the study on the lost workdays that return to work place is insufficient. Therefore, this study proposes a model that classifies the lost workdays lost into moderate and severity, and derives the importance of variable and analyzes important factors through the trained random forest model. We analyze the learning process of the random forest which is a black box model, and extracted important variables that impact on the severity of the lost workdays through the extracted feature importance. The factors existing inside were analyzed through the extracted variables. The purpose of this study is to analyze the accident case data at the construction site through a random forest model and to review variables that have a high impact on the lost workdays. In the future, this sutdy can apply to improve construction safety management and reduce the accident of industrial accidents.