• 한국콘텐츠학회논문지
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• 제19권3호
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• pp.10-21
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• 2019

4차 산업혁명 도래에 따라 전통적 물류는 스마트 물류로 전환되었으며, 이를 지원하는 물류 스타트업이 급성장하였다. 이들은 모바일 애플리케이션을 구축하여 화물운송, 택배, 해외직구, 화물추적, 온디멘드 물류, 신선물류, 운송 중개 플랫폼, O2O(online to offline) 비즈니스, 라스트마일 배송 분야에서 고객맞춤형 서비스를 하고 있다. 물류 스타트업이 성공하기 위해서는 사용성이 높은 모바일 애플리케이션을 개발하여 고객만족과 지속적인 사용을 통해 매출과 수익을 창출해야 한다. 모바일 애플리케이션의 사용성 평가는 모바일 폰이 가진 특성 때문에 데스크 탑 기반의 웹사이트 사용성과는 차별화된 평가기준을 사용하여야 한다. 본 연구에서는 물류 스타트업이 제공하는 모바일 애플리케이션의 사용성을 평가하고 그 시사점과 개선방안을 도출하는 것이 목적이다. 스마트 물류의 개념을 고찰하고, 문헌연구를 통해 모바일 애플리케이션의 사용성 평가기준을 도출한 후 사용성 테스트를 수행한다.

• Advances in aircraft and spacecraft science
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• 제6권2호
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• pp.117-144
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• 2019

High Altitude and Long Endurance (HALE) aircraft are capable of providing intelligence, surveillance and reconnaissance (ISR) capabilities over vast geographic areas when equipped with advanced sensor packages. As their use becomes more widespread, the demand for additional range, endurance and payload capability will increase and designers are exploring non-conventional configurations to meet the increasing demands. One such configuration is the joined-wing concept. A joined-wing aircraft is one that typically connects a front and aft wings in a diamond shaped planform. One such example is the Boeing SensorCraft configuration. While the joined-wing configuration offers potential benefits regarding aerodynamic efficiency, structural weight, and sensing capabilities, structural design requires careful consideration of elastic buckling resulting from the aft wing supporting, in compression, part of the forward wing structural loading. It has been shown already that this is a nonlinear phenomenon, involving geometric nonlinearities and follower forces that tend to flatten the entire configuration, leading to structural overload due to the loss of the aft wing's ability to support the forward wing load. Severe gusts are likely to be the critical design condition, with flight control system interaction in the form of Gust Load Alleviation (GLA) playing a key role in minimizing the structural loads. The University of Victoria Center for Aerospace Research (UVic-CfAR) has built a 3-meter span scaled and flexible wing UAV based on the Boeing SensorCraft design. The goal is to validate the nonlinear structural behavior in flight. The main objective of this research work is to perform Ground Vibration Tests (GVT) to characterize the dynamic properties of the scaled flight vehicle. Results from the experimental tests are used to characterize the modal dynamics of the aircraft, and to validate the numerical models. The GVT results are an important step towards a safe flight test program.

• 한국멀티미디어학회논문지
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• 제22권5호
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• pp.613-625
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• 2019

The rise of the Internet of Things (IoT) devices have greatly influenced many industries and one of them is healthcare where wearable devices started to track all your daily activities for better health monitoring accuracy and even down to tracking daily food intake in some cases. With the amounts of data that are being tracked and shared between from these devices, questions were raised on how to uphold user's data privacy when data is shared between these IoT devices and third party. With the blockchain platforms started to mature since its inception, the technology can be implemented according to a variety of use case scenarios. In this paper, we present a system architecture based on the healthcare system and IoT network by leveraging on multiple blockchain networks as the medium in between that should enable users to have direct authority on data accessibility of their shared data. We provide proof of concept implementation and highlight the results from our testing to show how the efficiency and scalability of the healthcare system improved without having a significant impact on the performance of the Electronic Medical Record (EMR) that mostly affected by the previous solution since these solutions directly connected to a public blockchain network and which resulted in significant delays and high cost of operation when a large amount of data or complicated functions are involved.

• International Journal of Computer Science & Network Security
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• 제22권2호
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• pp.250-260
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• 2022

Mobile Banking Applications (MBAPs) is one of the recent fads in mobile trading applications (Apps). MBAPs permit users to execute exchanges of money and many more whenever it might suit them; however, the primary issue for mobile banking Apps is usability. Hardly any investigation analyzes usability issues dependent on user's age, gender, exchanging accomplices, or experience. The purpose of this study is to determine the degree of usability issues, and experience of mobile banking users. The survey employs a quantitative method and performs user experiment on 240 participants with six different tasks on the application's interface. The post experiment survey is done with concerning participants. On the other hand, banking experts and Information Technology (IT) expert's group is also involved after the experiment. Expert's opinions about existing mobile banking Apps and suggestions for improving usability of MBAPs are collected through physical means (like questionnaire and interview) and online means like Google form. After that comparison of the opinions of users and experts about MBAPs is performed. The experimentation measures the tasks usability of various mobile banking apps with respect to its effectiveness, efficiency, trustfulness, learnability, memorability and satisfaction. The usability testing was led at different Universities and the outcomes acquired show that there are privacy and trust issues with their mobile banking apps. There is also a gap between users and experts which should be minimized by applying customized usability models, modes concept like other application software and also by adding complete features of banking in MBAPs. It will benefit mobile banking apps users, developers and usability engineers by providing user-friendly which are up to the mark of user's requirements.

• Journal of Forest and Environmental Science
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• 제38권2호
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• pp.102-109
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• 2022

This study was conducted to test the significant difference of fertility variation among families and to select superior families for acorn production in the breeding seedling seed orchards (BSSOs) of Quercus acuta and Quercus glauca. The seed orchards were located in Jeju island and established by seedlings raised from selected parents for genetic testing in 2006. In the spring of 2021, the numbers of female and male flower were counted from 5 to 10 individuals per family in the BSSOs. To test statistical significance of which parameter is not satisfied through the normality test, we used a nonparametric analysis. Correlation analysis was performed to quantify the association between female and male flower production. As the results, the significant difference of flower production among families was found in both seed orchards. The averages of female flower production were 65.3 and 181.9 in Q. acuta and Q. glauca. The positive Spearman's rank correlation was existed between male and female flower production. Broad-sense heritability on female and male flower production were 0.191 and 0.147 in Q. acuta, and 0.285 and 0.068 in Q. glauca, respectively. Sexual asymmetry (e.g., maleness index) between female and male, and contribution variation among families (e.g., parental balance) were analyzed to find reasonable alternatives in the management of seed orchards. Effective population size of seed crops was predicted as a concept of status number. Loss of gene diversity (accumulation of group coancestry) would not be alarming in the BSSOs. Our results would be helpful to select breeding materials for establishing new seed orchards and to supply genetically improved seeds of evergreen oaks, which is one of the backbones of the strategy of carbon sink in the 2050 Carbon Neutrality of Korea Forest Service.

• 대한화학회지
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• 제67권1호
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• pp.19-27
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• 2023

동물실험에 의존하는 전통적인 위해성평가 방법의 한계가 명확하게 드러나면서, 동물실험이 아닌 최첨단 기술을 활용한 화학물질 위해성평가 방법론들이 연구되고 있다. 이는 곧 신규접근법(New Approach Methodologies, NAMs)이라는 개념으로 구체화되었으며 차세대 위해성평가(Next generation risk assessment, NGRA) 프레임워크로 구현되었다. 하지만 신규접근법 데이터는 신뢰도 문제로 인해 극히 제한적으로 화학물질의 규제 의사결정과정에 활용되고있다. 이에 규제 공동협력기관 APCRA 이니셔티브는 화학물질 위해성평가에 신규접근법 데이터의 활용을 증진시키기 위해 여러 사례연구를 수행하였으며, 이를 바탕으로 차세대 위해성평가의 전망에 대해 논의한 바 있다. 따라서 본 총설에는 APCRA 이니셔티브가 수행한 사례연구 두 편을 중심으로 신규접근법을 활용한 차세대 위해성평가의 개념과 전망을 제시하였다.

• 한국정보통신학회논문지
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• 제26권2호
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• pp.230-238
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• 2022

사물인터넷은 통신 기능이 없는 사물에 통신 기능을 추가하여 사물의 정보를 원격에서 수집 및 사물의 기능을 제어하는 통신기술이다. 이를 위해 Wi-Fi, 3GPP, 블루투스 등 다양한 통신기술이 사용 가능하며 NB-IoT와 LoRa(Long Range)는 사물인터넷 개념에 특화된 통신기술이다. LoRa는 장거리, 저전력, 저속 통신을 지원하는 통신기술로 원거리의 사물에서 생성되는 정보를 수집하고 장비를 제어하기에 적합하다. 이러한 특징 때문에 많은 응용 분야에서 활용되고 있으며 다양한 성능 향상 연구가 진행 중이다. 본 논문은 더욱더 넓은 응용 분야에서 활용하기 위한 초장거리 LoRa 통신 모듈을 제안하고자 한다. 초장거리 LoRa 통신 모듈을 개발하기 위해 하드웨어, 펌웨어 및 테스트를 위한 응용 소프트웨어를 설계 및 구현한다. 구현된 장비는 실제 환경에서 테스트를 통해 성능을 검증하여 활용도를 확인하겠다.

• Earthquakes and Structures
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• 제26권5호
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• pp.383-400
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• 2024

For a conventionally repaired frame-supported-transfer-slab (FSTS) reinforced concrete (RC) structure, both the transfer slab and the beam-to-column and transfer slab-to-column joints remain vulnerable to secondary earthquakes. Aimed at improving the seismic performance of a damaged FSTS RC structure, an innovative retrofitting scheme is proposed, which adopts the sector lead rubber dampers (SLRDs) at joints after the damaged FSTS RC structure is repaired by conventional approaches. In this paper, a series of quasi-static cyclic tests was conducted on a large-scale retrofitted FSTS RC structure. The seismic performance was evaluated and the key test results, including deformation characteristics, damage pattern, hysteretic behaviour, bearing capacity and strains on key components, were reported in detail. The test results indicated that the SLRDs started to dissipate energy under the service level earthquake, and thus prevented damages on the beam-to-column and transfer slab-to-column joints during the secondary earthquakes and shifted the plastic hinges away from the beam ends. The retrofitting scheme of using SLRDs also achieved the seismic design concept of 'strong joint, weak component'. The FSTS RC structure retrofitted by the SLRDs could recover more than 85% bearing capacity of its undamaged counterpart. The hysteresis curves were featured by the inverse "S" shape, indicating good bearing capacity and hysteresis performance. The deformation capacity of the damaged FSTS RC structure retrofitted by the SLRDs met the corresponding codified requirements for the case of the maximum considered earthquake, as set out in the Chinese seismic design code. The stability of the FSTS RC structure retrofitted by the SLRDs, which was revealed by the developed stains of the RC frame and transfer slab, was improved compared with the undamaged FSTS RC structure.

• International Journal of Computer Science & Network Security
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• 제24권5호
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• pp.111-118
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• 2024

In general network-based intrusion detection system is designed to detect malicious behavior directed at a network or its resources. The key goal of this paper is to look at network data and identify whether it is normal traffic data or anomaly traffic data specifically for accounting information systems. In today's world, there are a variety of principles for detecting various forms of network-based intrusion. In this paper, we are using supervised machine learning techniques. Classification models are used to train and validate data. Using these algorithms we are training the system using a training dataset then we use this trained system to detect intrusion from the testing dataset. In our proposed method, we will detect whether the network data is normal or an anomaly. Using this method we can avoid unauthorized activity on the network and systems under that network. The Decision Tree and K-Nearest Neighbor are applied to the proposed model to classify abnormal to normal behaviors of network traffic data. In addition to that, Logistic Regression Classifier and Support Vector Classification algorithms are used in our model to support proposed concepts. Furthermore, a feature selection method is used to collect valuable information from the dataset to enhance the efficiency of the proposed approach. Random Forest machine learning algorithm is used, which assists the system to identify crucial aspects and focus on them rather than all the features them. The experimental findings revealed that the suggested method for network intrusion detection has a neglected false alarm rate, with the accuracy of the result expected to be between 95% and 100%. As a result of the high precision rate, this concept can be used to detect network data intrusion and prevent vulnerabilities on the network.

• 정보보호학회논문지
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• 제30권5호
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• pp.909-928
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• 2020

미국 정부는 1970년대 초반부터 모의해킹만으로는 제품의 보안 품질을 향상시킬 수 없다는 것을 인지하기 시작하였다. 모의해킹팀의 역량에 따라 찾을 수 있는 취약점이 달라지며, 취약점이 발견되지 않았다고 해서 해당 제품에 취약점이 없는 것은 아니기 때문이다. 제품의 보안 품질을 향상시키기 위해서는 결국 개발 프로세스 자체가 체계적이고 엄격하게 관리되어야 함을 깨달은 미국 정부는 1980년대부터 보안내재화(Security by Design) 개발 방법론 및 평가 조달 체계와 관련한 각종 표준을 발표하기 시작한다. 보안내재화란 제품의 요구사항 분석 및 설계 단계에서부터 일찍 보안을 고려함으로써 제품의 복잡도(complexity)를 감소시키고, 궁극적으로는 제품의 신뢰성(trustworthy)을 달성하는 것을 의미한다. 이후 이러한 보안내재화 철학은 Microsoft 및 IBM에 의해 Secure SDLC라는 이름으로 2002년부터 민간에 본격적으로 전파되기 시작하였으며, 현재는 자동차 및 첨단 무기 체계 등 다양한 분야에서 활용되고 있다. 하지만 문제는 현재 공개되어 있는 Secure SDLC 관련 표준이나 가이드라인들이 매우 일반적이고 선언적인 내용들만을 담고 있기 때문에 이를 실제 현장에서 구현하기란 쉽지 않다는 것이다. 따라서 본 논문에서 우리는 Secure SDLC를 기업체가 원하는 수준에 맞게 구체화시키는 방법론에 대해 제시한다. 우리가 제안하는 CIA(functional Correctness, safety Integrity, security Assurance)-Level 기반 보안내재화 프레임워크는 기존 Secure SDLC에 증거 기반 보안 방법론(evidence-based security approach)을 접목한 것으로, 우리의 방법론을 이용할 경우 첫째 경쟁사와 자사간의 Secure SDLC 프로세스의 수준 차이를 정량적으로 분석할 수 있으며, 둘째 원하는 수준의 Secure SDLC를 구축하는데 필요한 상세한 세부 활동 및 산출해야 할 문서 등을 쉽게 도출할 수 있으므로 실제 현장에서 Secure SDLC를 구축하고자 할 때 매우 유용하다.