• Journal of Korea Port Economic Association
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• v.39 no.2
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• pp.143-163
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• 2023

This study aims to analyze the impact of ESG activities on the corporate performance of logistics companies in Korea. To achieve this, the study examines the factors influencing the adoption and implementation of ESG activities, assesses the extent to which ESG activities enhance corporate trust and image, and empirically analyzes the effect of ESG implementation on the corporate performance of logistics companies. An online survey was conducted using Google Forms for Korean logistics companies, and a total of 463 data sets were utilized for PLS structural equation analysis using the SmartPLS 4.0 software tools. The findings of the study are as follows: Firstly, external pressure, specifically government pressure, significantly influences environmental responsibility activities, while investor pressure significantly affects social responsibility activities and governance responsibility activities. Additionally, internal management pressures significantly impact environmental responsibility activities, and employees have a significant influence on all ESG responsibility activities. Secondly, environmental responsibility activities positively affect corporate image, whereas social and governance responsibility activities influence trust and corporate image. Thirdly, trust and corporate image demonstrate significant effects on both financial and non-financial performance. Fourthly, trust significantly mediates the relationship between social responsibility, governance responsibility, and non-financial performance, while image mediates the connection between ESG responsibility and both financial and non-financial performance. The contribution of this study lies in providing practical insights for logistics companies to actively promote ESG activities, thereby establishing a reputation for being environmentally, socially, and governance responsible and gaining customer trust. By doing so, this study aims to raise awareness of the importance of ESG activities in the logistics industry and help companies recognize their significance for sustainable management

• Journal of Navigation and Port Research
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• v.33 no.6
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• pp.451-456
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• 2009

In this paper, we presents an algorithm which generates its high-resolution DTM using a low-resolution DTM of the sea floor terrain and fractal theory. The fractal dimension of each patch region divided from the DTM is extracted and then with this information and original data, each cell region in the patch is interpolated using the midpoint displacement method and a median filter is incorporated to generate natural and smooth sea floor surface. The effectiveness of the proposed algorithm is tested on a fractal terrain map.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2023.05a
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• pp.152-153
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• 2023

AIS has been widely used for maritime traffic assessment for its convenience. However, AIS has problems with position missing due to radio interference and transmission distance limit. On the other hand, satellite radar determines the location of ships over a wide sea regardless of the problems. This study proposes a noble method of stepwise threshold determination to detect ships from Sentinel-1. The proposed method is up to 25 times faster than the existing moving window-based threshold determination method, and the detection accuracy is similar.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.44 no.3
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• pp.61-69
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• 2007

This paper proposes new preprocessing algorithm to extract minutiae in the process of fingerprint recognition. Fingerprint images quality enhancement is a topic phase to ensure good performance in a topic phase to ensure good performance in a Automatic Fingerprint Identification System(AFIS) based on minutiae matching. This paper proposes an algorithm to improve fingerprint image preprocessing to extract minutiae accurately based on directional filter. We improved the suitability of low quality fingerprint images to better suit fingerprint recognition by using valid ridge vector and ridge probability of fingerprint images. With the proposed fingerprint improvement algorithm, noise is removed and presumed ridges are more clearly ascertained. The algorithm is based on five step: computation of effective ridge vector, computation of ridge probability, noise reduction, ridge emphasis, and orientation compensation and frequency estimation. The performance of the proposed approach has been evaluated on two set of images: the first one is self collected using a capacitive semiconductor sensor and second one is DB3 database from Fingerprint Verification Competition (FVC).

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2022.06a
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• pp.445-446
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• 2022

In this paper, in order to improve port work preparation and berth scheduling efficiency in an artificial intelligence-based berthing monitoring system that can monitor the ship's berthing process, we develop a mooring line recognition model to check an exact berthing time. By improving the pre-designed AI model, it is possible to segment the mooring line from the input image, and to recognize when the mooring line arrives or falls on the berth, thereby providing the correct ship's berthing time. The proposed AI model confirmed by the results that mooring line recognition is possible with evaluation data about the actual berthing situation.

• Journal of Navigation and Port Research
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• v.34 no.3
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• pp.235-242
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• 2010

In recent years, the busan port is now facing a serious crisis. Exterally, though worldwide economics depression is a serious factor, cuttthroat competition between north port and new port since new port open lead to decrease terminal profitability and busan port image. The essential cause is crowed with terminal operators. therefore, This paper empirically analyze the container terminal integration factor solving busan port problem affecting the competitiveness performance. According to research results, integration between operators will be to acomplish global terminal, and so, contribute to increase service power, port productivity, cargoes and to be hub-port at the north-east asia. These results show political suggestions for importance of repid integration to improve busan port's competitiveness.

• Proceedings of the Korea Society of Costume Conference
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• 2001.04a
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• pp.41-41
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• 2001

본 연구는 1990년대 밀리터리 패션에서 성적 이미 지의 표현양상을 살펴보고 각각의 미적 특성과 형성 요인을 분석하여 현대 여성의 다양한 미적 가치와 미의식을 이해하고자 한다. 1, 2차 세계대전을 계기로 자연스럽게 등장한 밀 리터리 패션은 20세기 초반에 여성의 사회참여와 지 위 향상으로 인해 실용성과 기능성을 추구하였고 중 반에 들어서면서 히피와 젊은 세대들에 의해 반전운 동의 일환으로 입혀져 안티패션의 의미를 내포하게 되었으며 후반에는 포스트모더 니즘으로 인해 다양성 을 추구하는 복고풍의 패션 트랜드로서 각종 컬혜션 에서 부각되었다. 그 결과 밀리터리 패션은 기존의 남성적 이미지뿐만 아니라 여성적 이미지도 표현하 게 되었다. 이러한 밀리터리 패션에 나타난 성적 이 미지는 권위적 이미지와 공격적 이미지의 남성적 이 미지와 보수적 이미지와 과시적 이미지, 관능적 이미 지의 여성적 이미지로 표현되어 나타났다. 남성적 이미지는 자유주의 페미니즘과 관련하여 남성 중심적 사고 방식에 도전하고자 하는 여성들의 자아의식이 한층 강하게 작용한 일종의 반 패션 현 상으로 권위적 이미지와 공격적 이미지로 특정지을 수 있다. 첫째, 권위적 이미지는 주로 고전적 군복과 제복의 이미지를 차용해 군복이 가지는 권위와 위엄을 표출 하였으며 남성 우월주의에 기초한 영웅주의를 가시 적으로 표현하였다. 이는 떳떳하게 자신의 위치를 세 우고자 하는 여성들의 욕구를 대변하였으며 영웅주 의와 가부장제도가 그 형성요인으로 작용하였다. 둘째, 공격적 이미지는 권위적 이미지에 대한 저 항과 기존의 성 정체성에 대한 저항으로써 전위적인 형태와 해체적인 표현으로 본래의 위엄있는 군복의 이미지를 무너뜨려 남성다웅의 표면적인 메시지를 약화시키고자 하였으며 반체제 정신, 성 정체성에 대 한 저항, 해체주의가 그 형성요인으로 작용하였다. 여성적 이미지는 급진주의 페미니즘과 관련하여 여성 본래의 성을 부각시키고 여성이 주체가 된 여 성중심적 사고로 여성의 감성적 심리를 패션을 통해 표현하고자 하였으며 보수적 이미지, 과시적 이미지, 관능적 이미지로 특징 지을 수 있다. 첫째, 보수적 이미지는 남성적 영역이라고 믿어왔 던 군복에 여성성을 강조하여 가늘고 유연한 실루엣 과 곡선적인 라인, 색채. 심플한 디테일만으로 밀리 터리 패션을 표현하여 남성중심의 이데올로기에서 벗어나 여성도 사회의 중심이 될 수 있음을 시사하 였으며 남성 권위의 추락이 그 형성요인으로 작용하 였다. 둘째, 과시적 이미지는 전통적 군복이 과거의 상 류층 엘리트들만의 아이템이었듯이 현대의 여성들은 신분과 매력의 과시를 표현하고자 금속 단추나 벨트 등 기타장식을 부각시킨 밀리터리 패션을 착용하였 으며 엘리트층에 대한 동경이 그 형성요인으로 작용하였다. 셋째, 관능적 이미지는 신체의 간접적인 노출과 직접적인 노출을 통해 여성의 신체에 의한 에로틱한 관능미를 부여하고자 하였으며 나르시시즘과 보이고 자 하는 욕구, 성적 유희가 그 형성요인으로 작용하였다. 그러므로 밀리터리 패션에 나타난 성적 이미지에 관한 연구는 패션을 통해 자아를 표현하고 미적으로 자기완성의 방편을 삼으려고 한 현대 여성들의 가치 관과 미의식을 이해하며 이를 충족시키고자 하는 패 션 트랜드와 디자인 개발에 도움이 될 것이다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.50-53
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• 2022

Recently, there have been cases in which counterfeit foreign ships have entered and left domestic ports several times. Vessels have a ship-specific serial number given by the International Maritime Organization (IMO) to identify the vessel, and IMO marking is mandatory on all ships built since 2004. In the case of airports and ports, which are representative logistics platforms, a security system is essential, but it is difficult to establish a security system at a port and there are many blind spots, which can cause security problems due to insufficient security systems. In this paper, a port security system is designed using deep learning object recognition and OpenCV. The security system process extracts the IMO number of the ship after recognizing the object when entering the ship, determines whether it is the same ship through feature point matching for ships with entry records, and stores the ship image and IMO number in the entry/exit DB for the first arrival vessel. Through the system of this paper, port security can be strengthened by improving the efficiency and system of port logistics by increasing the efficiency of port management personnel and reducing incidental costs caused by unauthorized entry.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.2
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• pp.117-123
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• 2018

In this study, we suggest a fast image reconstruction scheme using Poisson equation from image gradient domain. In this approach, using the Poisson equation, a guided vector field is created by employing source and target images within a selected region at the first step. Next, the guided vector is used in generating the result image. We analyze the problem of reconstructing a two-dimensional function that approximates a set of desired gradients and a data term. The joined data and gradients are able to work like modifying the image gradients while staying close to the original image. Starting with this formulation, we have a screened Poisson equation known in physics. This equation leads to an efficient solution to the problem in FFT domain. It represents the spatial filters that solve the two-dimensional screened Poisson model and shows gradient scaling to be a well-defined sharpen filter that generalizes Laplace sharpening. We demonstrate the results using a discrete cosine transformation based this Poisson model.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.23 no.3
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• pp.359-370
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• 2013

Lin and Chan proposed a reversible secret image sharing scheme in 2010. The advantages of their scheme are as follows: the low distortion ratio, high embedding capacity of shadow images and usage of the reversible. However, their scheme has some problems. First, the number of participants is limited because of modulus prime number m. Second, the overflow can be occurred by additional operations (quantized value and the result value of polynomial) in the secret sharing procedure. Finally, if the coefficient of (t-1)th degree polynomial become zero, (t-1) participants can access secret data. In this paper, an improved reversible secret image sharing scheme which solves the problems of Lin and Chan's scheme while provides the low distortion ratio and high embedding capacity is proposed. The proposed scheme solves the problems that are a limit of a total number of participants, and occurrence of overflow by new polynomial operation over GF($2^8$). Also, it solve problem that the coefficient of (t-1)th degree polynomial become zero by fixed MSB 4-bit constant. In the experimental results, PSNR of their scheme is decreased with the increase of embedding capacity. However, even if the embedding capacity increase, PSNR value of about 45dB or more is maintained uniformly in the proposed scheme.