• Science of Emotion and Sensibility
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• v.21 no.2
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• pp.101-112
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• 2018

This study was carried out to enhance the competitiveness of blackbox design for domestic and international companies, based on the explosive growth of the blackbox market due to development of blackbox design for vehicle accident prevention and post-treatment. In the past, the blackbox market has produced products indiscriminately to meet the ever-increasing demand of consumers. Therefore, we thought a new design method was necessary to effectively investigate the needs of rapidly changing consumers. In this study, we aimed to identify the best-selling blackbox to understand the design flow, and the optimum area for a blackbox, considering the uniqueness of associated vehicle. Based on discussion with blackbox design experts, we studied the direction of design and the problems with blackbox use, which were reflected in blackbox development. Through this research, two types of design - leading blackbox (A type) and mass production blackbox (B type) - were proposed for compatibility of the blackbox with the car. The leading type of blackbox was positioned so that it was wrapped with the room mirror hinge before the screw was fastened, in order to achieve an integrated design. Therefore, we designed an integrated form and resolved the placement problem of an adhesive blackbox. To blend, the mass production blackbox implemented material and surface processing in the same way with the car, and adopted the slide structure to automatically turn off the main body power when removing the SDcard, reflecting consumer needs. This study considers evolving consumer needs through a case study and collective intelligence and deals with implementation of the whole design process during mass production. In this study, we aimed to strengthen the competitiveness of the blackbox design based on design method and its realization.

• Elastomers and Composites
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• v.37 no.2
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• pp.99-106
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• 2002

In this work, the surface properties and mechanical interfacial properties of the carbon blacks treated by oxygen plasma were investigated. The surface properties of carbon black by oxidation process of oxygen plasma were studied in acid-base surface value, zeta potential, and X-ray photoelectron spectroscopy (XPS). And their mechanical interfacial properties of the carbon black/rubber composites were evaluated by the composite tearing energy ($G_{III}c$). As a result, it was found that the introduction rate of oxygen-containing polar functional groups, such as carboxyl, hydroxyl, lactone, and carbonyl groups, onto the carbon black surfaces was increased by increasing the plasma treatment time. It revealed that the polar rubber, such as acrylonitrile butadiene rubber (NBR), showed relatively a high degree of interaction with oxygen-containing functional groups of the carbon black surfaces, resulting in improving the tearing energy ($G_{III}c$) of the carbon black/acrlyonitrile butadiene rubber composites.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.12
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• pp.1835-1845
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• 2021

To accurately identify black ice and warn the drivers of information in advance so they can control speed and take preventive measures. In this paper, we propose a lightweight black ice detection network based on infrared road images. A black ice recognition network model based on CNN transfer learning has been developed. Additionally, to further improve the accuracy of black ice recognition, an enhanced lightweight network based on MobileNetV2 has been developed. To reduce the amount of calculation, linear bottlenecks and inverse residuals was used, and four bottleneck groups were used. At the same time, to improve the recognition rate of the model, each bottleneck group was connected to a 3×3 convolutional layer to enhance regional feature extraction and increase the number of feature maps. Finally, a black ice recognition experiment was performed on the constructed infrared road black ice dataset. The network model proposed in this paper had an accurate recognition rate of 99.07% for black ice.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.7
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• pp.257-262
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• 2021

Accidents caused by black ice occur frequently every winter, and the fatality rate is very high compared to other traffic accidents. Therefore, a systematic method is needed to predict the black ice formation before accidents. In this paper, we proposed a black ice prediction model based on heterogenous and multi-type data. To this end, 12,574,630 cases of 46 types of land, infrastructure, transport public data and meteorological public data were collected. Subsequently, the data cleansing process including missing value detection and normalization was followed by the establishment of approximately 600,000 refined datasets. We analyzed the correlation of 42 factors collected to predict the occurrence of black ice by selecting only 21 factors that have a valid effect on black ice prediction. The prediction model developed through this will eventually be used to derive the route-specific black ice risk index, which will be utilized as a preliminary study for black ice warning alart services.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.6
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• pp.1167-1172
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• 2012

South Korea's black box made of the hardware-based has problem that is modify program update and Physical errors. This problem makes the driver uncomfortable. And it is save to built-in memory, after collect with GPS and Video Data. However, These data are the information used for accident analysis lacks credibility. In this paper, to solve this problem, android Black Box application has been developed. This application is collecting OBD protocol(information inside the car) and Existing data.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.05a
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• pp.112-115
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• 2013

Recently, a great attention has been paid to a car black box device in the automobile markets besides it provides an accident re-construction based on the data which contains audio, video, and some meaningful driving informations. Also, it is expected that the device will get to promote around public transit and the market will greatly grow within a few years. Thus, this research conducted of preference the influencing factors in decisions purchase of auto black box. Factors influencing in decisions purchase of black box was divided safety, functionality, differentiation, economics. Questionnaire survey was conducted to those who worked in black box company. This study suggests practical and theoretical implications of factors influencing in purchase decisions based on the results.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.783-786
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• 2015

Hole attack, which is disturbed transmission function through change of routing information, can cause critical results for MANET as non-infrastructure network. Backhole attack, as a typical hole attack, is one malicious attack which is disabled network transmission function by assumption of transmission data through modification of routing information. It is very important to evaluate transmission performance caused by blackhole attack, because transmission performance of MANET is affective with blackhole attack. In this paper, transmission performance is analyzed with MANET under multiple blackhole attacks caused multiple blackhole nodes. Computer simulation based on NS-2 is used as analysis tool and voice traffic is considered ad application service on MANET.

• Proceedings of the Korea Information Processing Society Conference
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• 2008.11a
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• pp.895-898
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• 2008

블랙박스 시스템은 평시 및 사고 직전후의 각종 운행 기록 정보, 영상 정보 등 다양한 사고 정보를 저장할 수 있으며 이에 기반하여 교통 사고를 재현해내는 기술에 대한 활발한 연구가 진행 중이다. 본 논문은 USN 환경에서 차량 간 교통사고 발생시 상대 차량 정보를 블랙박스 내에 저장할 수 있는 시스템을 제안한다. 블랙박스에 저장되는 상대 차량에 대한 정보는 각종 사고 발생시 교통 사고 분쟁 해결에 결정적 요인이 될 수 있으므로 그 중요성이 크다. 제안하는 블랙박스 시스템에 저장되는 정보는 차량 고유 번호, 사고 발생 시간 및 위치 등의 정보이고 그 정보는 허가된 사용자에게만 접근 될 수 있다. 본 논문에서는 두 개의 센서 노드를 블랙박스로 가정하고 임의의 충돌 신호를 발생시켜 상대 차량의 정보를 저장하고, 이를 분석하는 시뮬레이션을 통하여 제안하는 블랙박스 시스템이 사고 차량 정보와 위치, 시간 등을 저장함을 보인다. 수집된 정보는 교통 사고에 대한 과학적인 해석과 사건 재현을 위한 객관적인 정보로 사용 될 수 있다.

• Polymer(Korea)
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• v.33 no.5
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• pp.397-406
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• 2009

We have fabricated source-drain electrodes for OTFTs using a screen-printing technique with carbon-black pastes as conductive paste. And effects of dispersants contents (SOP 10-40%) on the dispersity of carbon-black pastes and characteristics of screen-printed source-drain electrodes for OTFTs using two types of dispersants (DB-2150, DB-9077) were investigated. As contents of both dispersants were increased the dispersity of carbon-black mill-bases was improved, whereas the carbon-black pastes exhibited different dispersion characteristics. For the case of DB-2150, the dispersity of the pastes was improved with increasing dispersant content and the storage modulus G' in their rheology characteristics were reduced. But, for the DB-9077, the storage modulus G' of pastes were increased with dispersant content due to the flocculated network structure formed by interactions among carbon-black powders and dispersants. But, since this flocculated network structure of the pastes using DB-9077 resulted in the conduction path of carbon-black structures, the conductivities of screen-printed electrodes and mobilities of the OTFTs with them were better than those using pastes with DB-2150.

• Proceedings of the Korea Institutes of Information Security and Cryptology Conference
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• 2002.11a
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• pp.261-265
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• 2002

본 논문에서는 XTR에 기반한 블라인드 서명인 블라인드 XTR-DSA 스킴을 이용하여 전자화폐 시스템에서 블랙메일링 공격을 막는 방법을 제안한다. 인출과정에서 은행이 블라인드 XTR-DSA 스킴을 이용하여 서명을 하면 효과적으로 블랙메일러에게 표시된 화폐를 발행할 수 있다. 기존의 방법에서는 블랙메일러에게 표시된 화폐를 발행하기 위해 사용자의 개인키를 은행에 전달해야했으나 본 논문에서 제안하는 블라인드 XTR-DSA 스킴을 이용할 경우 사용자의 개인키 전달이 필요 없게 되어 기존의 방법보다 더욱 효율적이다.