• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.41-44
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• 2021

In this paper, we propose a monitoring system that can monitor gas leakage concentrations in real time and forecast the amount of gas leaked after one minute. When gas leaks happen, they typically lead to accidents such as poisoning, explosion, and fire, so a monitoring system is needed to reduce such occurrences. Previous research has mainly been focused on analyzing explosion characteristics based on gas types, or on warning systems that sound an alarm when a gas leak occurs in industrial areas. However, there are no studies on creating systems that utilize specific gas explosion characteristic analysis or empirical urban gas data. This research establishes a deep learning model that predicts the gas explosion risk level over time, based on the gas data collected in real time. In order to determine the relative risk level of a gas leak, the gas risk level was divided into five levels based on the lower explosion limit. The monitoring platform displays the current risk level, the predicted risk level, and the amount of gas leaked. It is expected that the development of this system will become a starting point for a monitoring system that can be deployed in urban areas.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.4
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• pp.142-148
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• 2023

In Modern days, Self-driving for modern people is an absolute necessity for transportation and many other reasons. Additionally, after the outbreak of COVID-19, driving by oneself is preferred over other means of transportation for the prevention of infection. However, due to the constant exposure to stressful situations and chronic fatigue one experiences from the work or the traffic to and from it, modern drivers often drive under drowsiness which can lead to serious accidents and fatality. To address this problem, we propose a drowsy driving prevention learning model which detects a driver's state of drowsiness. Furthermore, a method to sound a warning message after drowsiness detection is also presented. This is to use MoveNet to quickly and accurately extract the keypoints of the body of the driver and Dense Neural Network(DNN) to train on real-time driving behaviors, which then immediately warns if an abnormal drowsy posture is detected. With this method, we expect reduction in traffic accident and enhancement in overall traffic safety.

• Journal of the Institute of Convergence Signal Processing
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• v.23 no.3
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• pp.115-122
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• 2022

With the outbreak of COVID-19 a few years ago, video conferencing and electronic document work have increased, and for this reason, the proportion of computer work among modern people's daily routines is increasing. However, as more and more people work on computers in the wrong posture for a long time, the number of patients with poor eyesight and text neck is increasing. Until recently, many studies have been published to correct posture, but most of them have limitations that users may experience discomfort because they have to correct posture by wearing equipment. A posture correction sensor algorithm is proposed to prevent access to the minimum distance between a computer monitor and a person using an ultrasonic sensor device. At this time, an algorithm for minimizing false alarms among warning alarms that sound at the minimum distance is also proposed. Because the ultrasonic sensor device is used, posture correction can be performed without attaching a device to the body, and the user can relieve discomfort. In addition, experimental results showed that accuracy can be improved by reducing false alarms by removing more than half of the noise generated during distance measurement.

• The Journal of the Korea Contents Association
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• v.20 no.7
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• pp.47-55
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• 2020

Along with the increased use of smart devices, the incidence of turtle neck syndrome among modern people has increased. Turtle neck syndrome is a posture in which the head is forward compared to the torso due to longer front muscles in the neck and shorter upper muscles, and it is more effective to fix the usual posture habits than surgery or medication. Thus, in this paper, a system is proposed to detect and warn posture that can cause turtle neck syndrome in real time. Image data of correct posture and turtle neck posture are collected to create a CNN-based learning model. Using only the webcam(Built-in camera), the sitting position that enters the camera is verified in real time through the learning model, and if it is a turtle neck position, it generates a warning sound and induces the correct posture. The system can induce people to correct their usual posture habits to treat turtle neck syndrome and prevent more serious diseases such as neck discs.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.1
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• pp.24-30
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• 2021

In this study, an augmented reality (AR) app that detects the screw-assembly state of a car valve-body and assists the assembly work is developed and the effectiveness of the app is shown through testing. The app creates the contents indicating the screw-assembly position and order, and the screw-assembly state. Then, the contents are registrated onto the valve-body image on a smart-phone screen to be shown to the worker during assembly. To this end, the features are extracted from the 2D image of the valve-body and the location of the valve-body is tracked. By extracting the areas where the screws are to be assembled, and periodically determining the luminance of these areas, it is checked whether the screws are assembled in order at the predetermined position of the valve-body. When an error is detected during assembly, a warning sound is notified to the worker, and the worker can check the assembly state on the smart-phone screen and handle the error, immediately. Study results found that it takes about 65 ms to detect the assembly state of the five screws, and the assembly state is detected without error for 1 hour.

• Smart Media Journal
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• v.10 no.1
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• pp.70-78
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• 2021

The auditory information is used for urgent notification or warning in vehicle because it is not restricted by the direction compared to the visual. However, since the hearing impaired drivers cannot recognize sound signal, various methods of visualizing the auditory information have been attempted to replace it. When visualizing auditory information, only important information should be selected and provided to prevent cognitive overload concentrated on the vision. For this purpose, analysis of the type of auditory information in vehicle should be given in advance. In this study, the types of auditory information in vehicle were analyzed based on the user experience of hearing impaired drivers. Through the observation of the driving behavior of hearing impaired drivers, 33 auditory informations experienced in vehicle were collected. The collected auditory informations were classified into 12 groups through open card sorting by an expert group, and the types of auditory information in vehicle consisting of four levels were presented through a relative comparison of importance between groups. The presented type of auditory information in vehicle can be used as a guideline for selecting important information when the auditory information is converted into visual or tactile. This study is meaningful in that the user experience analysis was conducted by observing actual driving in daily life of hearing impaired drivers.

• Journal of Forest and Environmental Science
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• v.14 no.1
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• pp.112-127
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• 1998

A meeting for Japan Society of Erosion Control Engineering took place, from May 20-21 in Sapporo, Japan, with the presentations of 21 special topics and 185 general papers. Special topics consists of 6 copies on volcanic disaster prevention, 6 copies on the activity report of Earthquake Erosion Control Engineering Society, 5 copies on the management and guidelines of riparian zone and 4 copies on debris disaster occurred in 1997. General papers consists of 10 copies on slope stability, 10 copies on slope failure, 9 copies on earthquake, 41 copies on environmental erosion control, 25 copies on debris flow, 11 copies on warning and refuge, 10 copies on erosion control plan, 11 copies on erosion control project, 10 copies on erosion control facility, 12 copies on volcanic erosion control, 4 copies on revegetation technology, 4 copies on forest hydrology, 4 copies on avalanche, 4 copies on landslide, 18 copies on debris flow and 2 other copies presented by international student. Among the special topics, 5 papers with the titles of the function and structure of riparian zone, the interactive relation of flood and riparian zone, the management method of channel and river forest for controlling debris flow, the forest restoration efforts by native population, the law and social issue for building river riparian zone were presented in the subsection of "The Management and Guidelines of Riparian Zone". Thus, this article summarize and introduce the presented contents which are very important and can be referred to keep environmentally sound-river in the erosion control field.

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.51 no.3
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• pp.441-447
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• 2015

As a series of research plan, this study is to provide basic data necessary for the development of fishing industry which will contribute in establishing sound fishing culture in Jeju island through systematic management of fishing, protection of fishery resources and establishment of safety measures for fishermen in accordance with 'Fishing Management and Support Act'. To attain the proposed objective, this study conducted literature review and surveys on restriction standards of harmful substances generated from fishing equipment and baits, examined the current status of fishing management in popular fishing sites of other cities, and then reviewed and analyzed the fishing management and fishing-restriction zones in Jeju island. The survey on the opinions on the restriction criteria of fishing methods, tools and period, including the acceptable standards for harmful substances showed that general fishermen preferred 'alleviating the measure (44.8%)' to 'aggravating the measure (23.0%)'. Meanwhile, maritime police showed dominant opinion toward 'aggravating the restriction (52.2%)' over 'alleviating the measure (4.3%)'. Furthermore, fishing-related enterprise is favored 'aggravating the restriction (32.6%)' over 'alleviating the measure (27.9%)'. In the survey on the tolerance of fishing baits including criterion for content of certain substance in different types of bait, it showed 57.5% of general fishermen preferred alleviating restriction criteria while 20.7% of them favored tougher restriction. Whereas, 33.3% of maritime police group insisted such fishing baits should be more restricted while 16.7% answered it should be alleviated. 35.9% of fishing-related enterprise was in favor of alleviation while 14.3% preferred aggravation. Upon investigation on the status of fishing management in other cities and towns, it turned out that most of them had safety and convenience facilities, installed warning and guide signs in fishing sites, and set no fishing zones. The review of fishing management and restricted area showed that 10 sites required access restriction and 2 of 10 sites were considered to be partially restricted for weather and season. 82 fishing sites were regarded as unnecessary to be restricted and installation of safety facility and guide signs is necessary for the safety of fishermen.

• Journal of Navigation and Port Research
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• v.37 no.4
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• pp.401-407
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• 2013

In parallel with the development of ship equipment, bridge systems have been improved, but marine accidents due to human error have not been reduced. Recently, research in nautical bridge equipment has focused on suitable ergonomic designs in order to reduce these errors due to human factors. In a bridge of a ship, there are numerous auditory signals that deliver important information clearly to the sailors. However, only a few studies have been conducted related to the human recognition of these auditory signals. There are three types of auditory signals: voice alarms, abstract sounds, and auditory icons. This study was conducted in order to design more appropriate auditory icons using a sensibility evaluation method. The auditory icons were rated to have five warning situations (engine failure, fire, steering failure, low power, and collision) using the Semantic Differential Method. It is expected that the results of this study will be used as basic data for auditory displays inside bridges and for integrated bridge alarm systems.