• Title/Summary/Keyword: Smart harness

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Exploring Different Users' Perception of Smart Harness on Construction Sites (건설현장 스마트 안전대 사용자별 인식 차이에 관한 연구)

  • Kim, Hyeon-tae;Ahn, Chang-bum;Park, Moon-seo
    • Journal of the Korea Institute of Construction Safety
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    • v.4 no.1
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    • pp.22-29
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    • 2021
  • To prevent fall from height, interest in the development and introduction of smart harness is increasing as policies and laws such as mandatory use of smart safety equipment at construction sites. However, despite the potential of smart harness, construction safety cannot be contributed unless adopted or used by users. The objective of this research is to examine the perception between safety managers and workers on smart harness, user perception according to user's experience and differences through semi-structured in-depth interviews. As a result of the interview and comparative analysis, both safety managers and workers perceived smart harness as uncomfortable, and workers with experience in using smart harness perceived that simple functions that inform risks are useful for securing safety. This research results show different user's perception of smart harness can be confirmed how much factors affect the use of smart harness, which can provide implication into establishing measures to strengthen the use of smart harness in the future.

An Autonomous Operational Service System for Machine Vision-based Inspection towards Smart Factory of Manufacturing Multi-wire Harnesses

  • Seung Beom, Hong;Kyou Ho, Lee
    • Journal of information and communication convergence engineering
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    • v.20 no.4
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    • pp.317-325
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    • 2022
  • In this study, we propose a technological system designed to provide machine vision-based automatic inspection and autonomous operation services for an entire process related to product inspection in wire harness manufacturing. The smart factory paradigm is a valuable and necessary goal, small companies may encounter steep barriers to entry. Therefore, the best approach is to develop towards this approach gradually in stages starting with the relatively simple improvement to manufacturing processes, such as replacing manual quality assurance stages with machine vision-based inspection. In this study, we consider design issues of a system based on the proposed technology and describe an experimental implementation. In addition, we evaluated the implementation of the proposed technology. The test results show that the adoption of the proposed machine vision-based automatic inspection and operation service system for multi-wire harness production may be considered justified, and the effectiveness of the proposed technology was verified.

SPRT-based Collaboration Construction for Malware Detection in IoT

  • Jun-Won Ho
    • International journal of advanced smart convergence
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    • v.12 no.1
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    • pp.64-69
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    • 2023
  • We devise a collaboration construction method based on the SPRT (Sequential Probability Ratio Test) for malware detection in IoT. In our method, high-end IoT nodes having capable of detecting malware and generating malware signatures harness the SPRT to give a reward of malware signatures to low-end IoT nodes providing useful data for malware detection in IoT. We evaluate our proposed method through simulation. Our simulation results indicate that the number of malware signatures provided for collaboration is varied in accordance with the threshold for fraction of useful data.

Incorporating BERT-based NLP and Transformer for An Ensemble Model and its Application to Personal Credit Prediction

  • Sophot Ky;Ju-Hong Lee;Kwangtek Na
    • Smart Media Journal
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    • v.13 no.4
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    • pp.9-15
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    • 2024
  • Tree-based algorithms have been the dominant methods used build a prediction model for tabular data. This also includes personal credit data. However, they are limited to compatibility with categorical and numerical data only, and also do not capture information of the relationship between other features. In this work, we proposed an ensemble model using the Transformer architecture that includes text features and harness the self-attention mechanism to tackle the feature relationships limitation. We describe a text formatter module, that converts the original tabular data into sentence data that is fed into FinBERT along with other text features. Furthermore, we employed FT-Transformer that train with the original tabular data. We evaluate this multi-modal approach with two popular tree-based algorithms known as, Random Forest and Extreme Gradient Boosting, XGBoost and TabTransformer. Our proposed method shows superior Default Recall, F1 score and AUC results across two public data sets. Our results are significant for financial institutions to reduce the risk of financial loss regarding defaulters.

Worker Safety in Modular Construction: Investigating Accident Trends, Safety Risk Factors, and Potential Role of Smart Technologies

  • Khan, Muhammad;Mccrary, Evan;Nnaji, Chukwuma;Awolusi, Ibukun
    • International conference on construction engineering and project management
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    • 2022.06a
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    • pp.579-586
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    • 2022
  • Modular building is a fast-growing construction method, mainly due to its ability to drastically reduce the amount of time it takes to construct a building and produce higher-quality buildings at a more consistent rate. However, while modular construction is relatively safer than traditional construction methods, workers are still exposed to hazards that lead to injuries and fatalities, and these hazards could be controlled using emerging smart technologies. Currently, limited information is available at the intersection of modular construction, safety risk, and smart safety technologies. This paper aims to investigate what aspects of modular construction are most dangerous for its workers, highlight specific risks in its processes, and propose ways to utilize smart technologies to mitigate these safety risks. Findings from the archival analysis of accident reports in Occupational Safety and Health Administration (OSHA) Fatality and Catastrophe Investigation Summaries indicate that 114 significant injuries were reported between 2002 and 2021, of which 67 were fatalities. About 72% of fatalities occurred during the installation phase, while 57% were caused by crushing and 85% of crash-related incidents were caused by jack failure/slippage. IoT-enabled wearable sensing devices, computer vision, smart safety harness, and Augment and Virtual Reality were identified as potential solutions for mitigating identified safety risks. The present study contributes to knowledge by identifying important safety trends, critical safety risk factors and proposing practical emerging methods for controlling these risks.

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In-Vehicle Auto temperature control System by CAN Network (CAN 통신을 이용한 차량 내 자동 온도조절 시스템)

  • Kim, Jang-ju;Jang, Jong-wook
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2009.10a
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    • pp.90-93
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    • 2009
  • Recently, CAN(Controller Area Network) being used in vehicle network system is suitable Network Protocol for smart vehicles with a future that need many ECUs, and it guarantees stability and reliability. It is revealed that being equipped many ECU could reduce the increasing of energy consumption and energy cost from the increasing of Wiring Harness's space and weight. In this paper, future smart vehicle control Air conditioner and heater for convenient and comfortable driving as using CAN protocol and implement auto control system According to driver's requirement using temperature in the vehicle.

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Development of Diagnosis System Adopted Intelligent Smart Junction Box for Improving Vehicular Power Safety (차량 전원 안정성 향상을 위한 Diagnosis System 채택 Intelligent Smart Junction Box 개발)

  • Jeong, Min-Soo;Kim, Mun-Gyeom;Park, Young-Hoan;Bang, Soon-Young
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.57 no.2
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    • pp.276-285
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    • 2008
  • These days the automobile industry, which has rapidly progressed, has been an indispensable part in social and economic activities as well as its research and development have been activated in response to various needs of consumers and markets. The second and third generation control system, getting count on safety and convenience differently than early circuits, cause the hypertrophy of wire harness. The J/Box(Junction Box), which distributes power and wires, was developed to solve the problem. As vehicles have been better in quantity and intelligence, however, environment-friendly electric apparatus system has continuously increased and ITS(Intelligent Transport System) has been introduced in earnest. In result, wires got complicated and multilateral and also there has been a stronger probability that vehicles are out of order due to various problems including mechanical failure. In this study, ISJB(Intelligent Smart Junction Box) was introduced to solve the problem. The diagnosis system was applied to prevent the overload and short of ISJE. Also, the state of vehicles displayed so that drivers monitor it in motion. Likewise error data are saved in the memory so that such data can be analyzed retrospectively. The busbar was adopted in to the main power terminal and the part of power pattern was coverd by lead. Because ISJB is more sensitive to heat in comparison to the busbar type J/Box. With regard the circuits related with safe, alternative circuits were set up in order that electronic devices may be normally operated even when an error arises. ISJB is expected to improve the safety and quality of vehicles.

Smart Harness for Preventing Pet Loss Outdoors (실외에서 애완견 분실 방지를 위한 스마트 어깨줄)

  • Lee, Jun-Hyeok;Ruy, Se-Hyun;Lim, Jong-Chan;Chou, Tea-Hyun;Han, Yeong-Oh
    • The Journal of the Korea institute of electronic communication sciences
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    • v.16 no.4
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    • pp.709-718
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    • 2021
  • In this paper, it can be seen that the number of abandoned dogs increases every year through the statistics on the occurrence of abandoned animals. With the goal of reducing the number of stray dogs, a smart pet dog shoulder strap is implemented based on a real-time location tracking system using the ESP32 module and GPS sensor. It is an ESP32 module with a built-in Bluetooth module. It is input to the MCU using various sensors, and finally outputs to a smart-phone application, and communicates through the built-in blue-tooth module. In addition, it uses Neopixels to compensate the weaknesses at night through LED light emission, and automatically sets the warning distance to design a music playback system through the LED flashing effect and MP3 module. In addition, a smart pet dog shoulder strap was designed to help pet dog health care by measuring the moving distance according to the amount of activity through the gyro sensor.

Incentivizing User Contributions in Idea Crowdsourcing through Quantitative and Qualitative Feedback : A Field Experiment

  • Cho, Sook-Hyun;Lee, Sang-Min;Moon, Jae Yun
    • Journal of Information Technology Applications and Management
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    • v.21 no.3
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    • pp.19-33
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    • 2014
  • Crowdsourcing is a popular tool for firms to harness external knowledge and resources. One variation of crowdsourcing entails the use of corporate channels in social network services (SNS) such as Twitter to hold public idea competitions. This study examined the role of feedback interaction between participants of idea competitions. More specifically, the study examined the impact of incentives to provide feedback on other participants' ideas. We found that idea competitions where explicit incentives were introduced to elicit crowdsourced feedback in the form of qualitative comments resulted in improved idea generation performance-with more ideas generated overall, and more ideas generated through participant collaborations, through increased comment-posting activities. Based on the findings, implications for theory and practice are discussed.

A user friendly NFT platform for Digital Assets (디지털 자산을 위한 사용자 친화적인 NFT 플랫폼)

  • Nitin Bhagat;Jong-Wook Bae;Su-Hyun Lee
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2023.07a
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    • pp.447-450
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    • 2023
  • Blockchain technology has paved the way for the rise of non-fungible tokens(NFTs) in recent years. NFTs enable the unique ownership of digital assets and harness the power of blockchain's transparency and decentralization. However, existing NFT platforms often pose barriers to entry for the public due to their technical complexity and high issuance costs. To address the problem, this paper proposes a user-friendly NFT platform with a simplified issuance process. A home page is created to allow easy NFT issuance for anyone. These advancements are expected to foster the growth of the NFT market and facilitate the development of new business models.

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