• Land and Housing Review
• /
• v.15 no.2
• /
• pp.125-137
• /
• 2024

A conventional Design for Safety (DfS), introduced to eliminate potential hazards in the design phase proactively, has encountered persistent challenges, such as perfunctory risk assessments and hazard identifications based on 2D drawings and inefficient workflow processes. This study proposes a BIM-based approach to Design for Safety (DfS) to address the limitations of conventional methods, aiming to enhance efficiency and achieve practical safety management benefits. The proposed workflow process for BIM-based DfS has been refined and validated for on-site applicability through various case studies, including risk assessments during the design phase and field applications for safety management activities during the construction phase. Specifically, the critical process of risk assessment within the DfS methodology has also been transitioned to a BIM-based approach. This BIM-based risk assessment process has been evaluated through case studies, encompassing safety reviews for structural design, construction equipment operation, and construction methodology with sequence in design projects. Additionally, the proposed BIM-based DfS has demonstrated exceptional on-site applicability and efficiency, as validated by the application of a BIM deliverable embedded in DfS information for CDE-based daily activity briefing, VR-based safety training, AR-based mitigation measures inspections, and other safety management activities in the construction phase.

• Tunnel and Underground Space
• /
• v.33 no.4
• /
• pp.281-298
• /
• 2023

Continuous research efforts are being devoted to unmanned mobile platforms for lunar exploration. There is an ongoing demand for real-time information processing to accurately determine the positioning and mapping of areas of interest on the lunar surface. To apply deep learning processing and analysis techniques to practical rovers, research on software integration and optimization is imperative. In this study, a foundational investigation has been conducted on real-time analysis of virtual lunar base construction site images, aimed at automatically quantifying spatial information of key objects. This study involved transitioning from an existing region-based object recognition algorithm to a boundary box-based algorithm, thus enhancing object recognition accuracy and inference speed. To facilitate extensive data-based object matching training, the Batch Hard Triplet Mining technique was introduced, and research was conducted to optimize both training and inference processes. Furthermore, an improved software system for object recognition and identical object matching was integrated, accompanied by the development of visualization software for the automatic matching of identical objects within input images. Leveraging satellite simulative captured video data for training objects and moving object-captured video data for inference, training and inference for identical object matching were successfully executed. The outcomes of this research suggest the feasibility of implementing 3D spatial information based on continuous-capture video data of mobile platforms and utilizing it for positioning objects within regions of interest. As a result, these findings are expected to contribute to the integration of an automated on-site system for video-based construction monitoring and control of significant target objects within future lunar base construction sites.

• Journal of the HCI Society of Korea
• /
• v.2 no.2
• /
• pp.53-59
• /
• 2007

Several researches in 3D interaction have identified and extensively studied the four basic interaction tasks for 3D/VE applications, namely, navigation, selection, manipulation and system control. These interaction schemes in the real world or VE are generally suitable for interacting with small graspable objects. In some applications, it is important to duplicate real world behavior. For example, a training system for a manual assembly task and usability verification system benefits from a realistic system for object grasping and manipulation. However, it is not appropriate to instantly apply these interaction technologies to such applications, because the quality of simulated grasping and manipulation has been limited. Therefore, we introduce the intuitive and natural 3D interaction haptic interface supporting high-precision hand operations and realistic haptic feedback.

• Interdisciplinary Bio Central
• /
• v.4 no.1
• /
• pp.2.1-2.7
• /
• 2012

Introduction: Histone deacetylases (HDAC) are a class of enzymes that remove acetyl groups from ${\varepsilon}$-N-acetyl lysine amino acids of histone proteins. Their action is opposite to that of histone acetyltransferase that adds acetyl groups to these lysines. Only few HDAC inhibitors are approved and used as anti-cancer therapeutics. Thus, discovery of new and potential HDAC inhibitors are necessary in the effective treatment of cancer. Materials and Methods: This study proposed a method using support vector machine (SVM) to classify HDAC8 inhibitors and non-inhibitors in early-phase virtual compound filtering and screening. The 100 experimentally known HDAC8 inhibitors including 52 inhibitors and 48 non-inhibitors were used in this study. A set of molecular descriptors was calculated for all compounds in the dataset using ADRIANA. Code of Molecular Networks. Different kernel functions available from SVM Tools of free support vector machine software and training and test sets of varying size were used in model generation and validation. Results and Conclusion: The best model obtained using kernel functions has shown 75% of accuracy on test set prediction. The other models have also displayed good prediction over the test set compounds. The results of this study can be used as simple and effective filters in the drug discovery process.

• Journal of the Korean Society of Marine Environment & Safety
• /
• v.17 no.4
• /
• pp.391-398
• /
• 2011

SHS(Ship-Handling Simulator) is virtual generation of vessel traffic situation under various environmental conditions. Recent, with the introduction of MSA(Maritime Safety Audit), SHS is being used as a key facility to determine the safety of navigation. However, the current audit techniques specified in the implementation guidance of MSA have been prepared by generalizing common procedures and evaluation methods used by institutions operating simulator systems. Therefore, they need to be reviewed and supplemented. This study analyzed the adequacy of current audit techniques based on the limitations and problems, then suggested the advanced scheme of SHS such as standardization of ship models, standard manoeuvring and evaluation method. The results of this research will contribute to improving the quantification and reliability of audit techniques used in the MSA as well as upgrading of the simulator system.

• Journal of Digital Contents Society
• /
• v.19 no.6
• /
• pp.1213-1218
• /
• 2018

Recently introduced Mask R - CNN presents a conceptually simple, flexible, general framework for instance segmentation of objects. In this paper, we propose an algorithm for efficiently searching objects of images, while creating a segmentation mask of heat generation part for an instance which is a heating element in a heat sensed image acquired from a thermal infrared camera. This method called a mask R - CNN is an algorithm that extends Faster R - CNN by adding a branch for predicting an object mask in parallel with an existing branch for recognition of a bounding box. The mask R - CNN is added to the high - speed R - CNN which training is easy and fast to execute. Also, it is easy to generalize the mask R - CNN to other tasks. In this research, we propose an infrared image detection algorithm based on R - CNN and detect heating elements which can not be distinguished by RGB images. As a result of the experiment, a heat-generating object which can not be discriminated from Mask R-CNN was detected normally.

• Journal of The Korean Association of Information Education
• /
• v.20 no.6
• /
• pp.535-542
• /
• 2016

In this study, we examined the perceptions of teachers and students to utilize 3D educational content. We conducted a survey about the effect of utilizing 3D educational content, interest in the 3D content, the advantages and problems of utilizing 3D education in class by targeting at elementary school teachers and elementary school students, Surveyed are students and teachers who participated the contest for 3D content development. Research results, both teachers and students were very positive about the educational effects of 3D content and they take advantage of educational content, as well as higher interest in 3D making education. We also found that they require overall support including 3D education-relevant materials and teacher training school in the field.

• The Journal of the Convergence on Culture Technology
• /
• v.4 no.3
• /
• pp.293-298
• /
• 2018

In the fourth industrial revolution era triggered by the popularization of smart phones, Human daily life and all industrial sites are becoming software and intelligent. With the universal software education for all students nationwide from 2018, Demand is surging, and hardware is interlocked using software technology and Arduino. However, expensive control boards and dozens of different electronic components have to be prepared separately and problems are occurring. In addition, if the same training is repeated, Significantly many parts are lost or destroyed. Being prepared to start a new class is also becoming a very serious problem. In this study, we implement VR technology based on virtualization technology of Arduino board and various electronic parts. In addition, 3D graphics realistic Arduino kit and various electronic components are provided in API form. In this paper, we propose a method of interworking software and virtual hardware on virtualization base.

• Proceeding of Spring/Autumn Annual Conference of KHA
• /
• 2011.04a
• /
• pp.81-86
• /
• 2011

In order to establish the effective community village as planned, it is the most important factor in residents' participation at the stage of design process. Especially, community space, which is commonly used by all members, must be designed through consultation process of community members themselves to accommodate the needs of various daily activities. So, in this study, the participation process to design the common community facility is developed and the actual residents' participation workshop was conducted in Baek-Hwa village, which is being built on South Korea. Also, the space of community facilities was designed based on the direct opinions and needs of actual residents obtained by workshop process. The workshop was conducted two times: the first workshop was conducted for the design of common residents' facilities and the second was for trying to utilize the virtual designed space. During the workshop process, it is found that the positive participation of members of village is naturally occurred to design residents' space in the workshop process. As a result, most people want to make the space of gym, library, and dining room in spatial configuration. Among them, the hobby room was highly demanded. There is lots of demand for the joint activities and training program in common activity fields. Also, the prediction of the various occurrence so fun expected situations was requested in the game of creating rules and role-playing. In the conclusion, it was acknowledged the necessity of residents' participation design and the importance of communication between architects and residents for decision-making.

• Journal of Korea Multimedia Society
• /
• v.23 no.5
• /
• pp.710-720
• /
• 2020

Tsunami occurred by a rapid change in the ocean floor is a natural disaster that causes serious damage worldwide. South Korea seems to be out of the range of this damage, but it is quite possible that South Korea will fall within the range due to the long-distance propagation features of tsunami and many earthquakes occurred in Japan. However, the analysis and preparation for tsunami have been still insufficient. In this paper, we propose a tsunami simulation model based on cellular automata for analyzing coastal inundation. The proposed model calculates the range of inundation in coastal areas by propagating the energy of tsunami using the interaction between neighboring cells. We define interaction rules and algorithms for the energy transfer and propose a software tool to effectively utilize the model. In addition, to verify and tune the simulation model, we used the actual tsunami data in 2010 at Dichato, Chile. As a case study, the proposed model was applied to analyze the coastal inundation according to tsunami height in Gwangali Beach, a famous site in Busan. It is expected that the simulation model can be a help to prepare an effective countermeasure against tsunami and be used for a virtual evacuating training.