• Journal of Korea Multimedia Society
• /
• v.19 no.8
• /
• pp.1310-1319
• /
• 2016

Face detection is the first step in a wide range of face applications. However, detecting faces in the wild is still a challenging task due to the wide range of variations in pose, scale, and occlusions. Recently, many deep learning methods have been proposed for face detection. However, further improvements are required in the wild. Another important issue to be considered in the face detection is the computational complexity. Current state-of-the-art deep learning methods require a large number of patches to deal with varying scales and the arbitrary image sizes, which result in an increased computational complexity. To reduce the complexity while achieving better detection accuracy, we propose a fully convolutional network-based face detection that can take arbitrarily-sized input and produce feature maps (heat maps) corresponding to the input image size. To deal with the various face scales, a multi-scale network architecture that utilizes the facial components when learning the feature maps is proposed. On top of it, we design multi-task learning technique to improve detection performance. Extensive experiments have been conducted on the FDDB dataset. The experimental results show that the proposed method outperforms state-of-the-art methods with the accuracy of 82.33% at 517 false alarms, while improving computational efficiency significantly.

• 한국정보교육학회:학술대회논문집
• /
• 2010.01a
• /
• pp.221-226
• /
• 2010

In the flood of information in the modern society, which is information-oriented society and knowledge engineering society, the transition to learner-centered education is demanded in order to perform the task in hand and solve the problems. In this study, it is considered a prerequisite that students get motivated and interested in Sajasohak to study it. Thus, in teaching Sajasohak in various ways, we intend to design web-based multimedia contents by using a variety of forms of multimedia and apply it to the field(real classroom).

• Journal of the Korean Society of Manufacturing Process Engineers
• /
• v.19 no.4
• /
• pp.24-29
• /
• 2020

Measuring the torque of the wheel loader of a driving device is a preemptive task to ensure its performance. In this study, wireless torque measurements were successfully conducted. Moreover, based on the experimental results and the adopted design method, the key factor of torque generation, which is the main load in driving devices, was analyzed. Other data not analyzed in this paper will be the basis for the logical design of wheel loader-based driving devices.

• Korean Journal of Computational Design and Engineering
• /
• v.4 no.1
• /
• pp.12-18
• /
• 1999

A deformable non-Uniform Rational B-Spline (NURBS) based volume is programed for the force reflecting exoskeleton haptic device. In this work, a direct free form deformation (DFFD) technique is applied for the realistic manipulation. In order to implement the real-time deformation, a nodal mapping technique is used to connect points on the virtual object with the NURBS volume. This geometric modeling technique is ideally incorporated with the force reflecting haptic device as a virtual interface. The results in this work introduce details for the complete set-up for the realistic virtual clay modeling task with force feedback. The force reflecting exoskeleton haptic manipulator, coupled with a supporting PUMA 560 manipulator and the virtual clay model are integrated with the graphics display, and results show that the force feedback from the realistic physically based virtual environment can greately enhance the sense of immersion.

• Journal of Computational Design and Engineering
• /
• v.3 no.2
• /
• pp.121-131
• /
• 2016

Organic modeling of 3D characters is a challenging task when it comes to correctly modeling the anatomy of the human body. Most sketch based modeling tools available today for modeling organic models (humans, animals, creatures etc) are focused towards modeling base mesh models only and provide little or no support to add details to the base mesh. We propose a hybrid approach which combines geometrical primitives such as generalized cylinders and cube with Shape-from-Shading (SFS) algorithms to create plausible human character models from sketches. The results show that an artist can quickly create detailed character models from sketches by using this hybrid approach.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.15 no.2
• /
• pp.63-70
• /
• 2019

To increase the efficiency of task on the desk, this paper proposes a reconfigurable desk. The proposed reconfigurable desk is based on the Pin Art technology. For the design of the proposed desk, the upper surface of the desk is divided into small units, and then the user easily controls the height of the divided pieces to make desk a desired shape by using the proposed user interface. The Arduino module controls the hardware and the user interface is configured by using Android applications, making it easy for anyone to use. Through extensive experiments, the proposed system shows that various types of deformations are possible and thus the utilization is very high by mounting diverse devices.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.13 no.5
• /
• pp.2414-2433
• /
• 2019

The aim of this paper is to design a 3D laser radar prototype based on laser triangulation. The mathematical model of distance sensitivity is deduced; a pixel-distance conversion formula is discussed and used to complete 3D scanning. The center position extraction algorithm of the spot is proposed, and the error of the linear laser, camera distortion and installation are corrected by using the proposed weighted average algorithm. Finally, the three-dimensional analytic computational algorithm is given to transform the measured distance into point cloud data. The experimental results show that this 3D laser radar can accomplish the 3D object scanning and the environment 3D reconstruction task. In addition, the experiment result proves that the product of the camera focal length and the baseline length is the key factor to influence measurement accuracy.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2013.05a
• /
• pp.45-48
• /
• 2013

In this paper, we proposed an Indexing Structure System (ISS) based on Apache Hadoop in Wireless Sensor Network (WSN). Nowadays sensors data continuously keep growing that need to control. Data constantly update in order to provide the newest information to users. While data keep growing, data retrieving and storing are face some challenges. So by using the ISS, we can maximize processing quality and minimize data retrieving time. In order to design ISS, Indexing Types have to be defined depend on each sensor type. After identifying, each sensor goes through the Indexing Structure Processing (ISP) in order to be indexed. After ISP, indexed data are streaming and storing in Hadoop Distributed File System (HDFS) across a number of separate machines. Indexed data are split and run by MapReduce tasks. Data are sorted and grouped depend on sensor data object categories. Thus, while users send the requests, all the queries will be filter from sensor data object and managing the task by MapReduce processing framework.

• Journal of Multimedia Information System
• /
• v.8 no.4
• /
• pp.243-250
• /
• 2021

Instructional contents are used to demonstrate a technical process to teach and walkthrough certain procedures to carry out a task. This type of informational content is widely used for teaching and lectures in form of tutorial videos and training videos. Since there are questions and uncertainties for what could be the killer application for the novel wearables, we propose a self-instruction training application on a smart glass to utilize already-available instruction videos as well as public open data in creative ways. We design and implement a prototype application to help users train by wearing smart glasses specifically designed for two concrete and hand-constrained use cases where the user's hands need to be free to operate. To increase the efficiency and feasibility of the self-instruction training, we contribute to the development of a wearable killer application by integrating a voice-based user interface using speech recognizer, public open data APIs, and timestamp-based procedural content navigation structure into our proof-of-concept application.

• Proceedings of the IEEK Conference
• /
• 2003.07c
• /
• pp.2657-2660
• /
• 2003

본 논문에서는 기존의 DTV-Ready에서 사용되고 있는 슈퍼 루프 형태의 내장형 소프트웨어 구조를 개선하여 태스크 기반의 내장형 소프트웨어 구조를 제안하였다. Gomaa 의 DARTS(Design Approach for Real-Time Systems) 방법을 사용하여 DTV-Ready 시스템을 분석하고 태스크 기반의 시스템으로 디자인하였다. 태스크간의 의존성을 최소화하여 내장형 소프트웨어의 재사용성을 높였으며, 실시간성을 고려한 디자인과 실시간 운영체제를 적용하여 내장형 시스템의 실시간 성능 향상을 제시하였다. 제안된 디자인은 직접 시스템에 적용하여 구현하고 테스트 결과를 통하여 기존 시스템의 성능과 비교 분석하였다.