• International Journal of Computer Science & Network Security
• /
• v.23 no.7
• /
• pp.91-100
• /
• 2023

Pervasive computing is characterized by a key characteristic that affects the operating environment of services and users. It places more emphasis on dynamic environments where available resources continuously vary without prior knowledge of their availability, while in static environments the services provided to users are determined in advance. At the same time, Cloud computing paradigm introduced flexibility of use according to the user's profile and needs. In this paper, we aimed to provide Context-Aware Transactional Service applications with solutions so that it can be integrated and invoked like any service in the digital ecosystem. Being able to compose is not enough, each service and application must be able to offer a well-defined behavior. This behavior must be controlled to meet the dynamicity and adaptability necessary for the new user's requirements. The motivation in this paper is to offer design patterns that will provide a maximum of automatism in order to guarantee short reaction times and minimal human intervention. Our proposal includes a cloud service model by developing a PaaS service that allows CATS adaptation. A new specification for the validation of CATS model has been also introduced using the ACTA formalism.

• ETRI Journal
• /
• v.39 no.2
• /
• pp.181-190
• /
• 2017

The movements of the human body are difficult to capture owing to the complexity of the three-dimensional skeleton model and occlusion problems. In this paper, we propose a motion capture system that tracks dynamic human motions in real time. Without using external markers, the proposed system adopts multiple depth sensors (Microsoft Kinect) to overcome the occlusion and body rotation problems. To combine the joint data retrieved from the multiple sensors, our calibration process samples a point cloud from depth images and unifies the coordinate systems in point clouds into a single coordinate system via the iterative closest point method. Using noisy skeletal data from sensors, a posture reconstruction method is introduced to estimate the optimal joint positions for consistent motion generation. Based on the high tracking accuracy of the proposed system, we demonstrate that our system is applicable to various motion-based training programs in dance and Taekwondo.

• Proceedings of the KSRS Conference
• /
• 2002.10a
• /
• pp.367-372
• /
• 2002

Asian dust aerosol layer of 4-6 km altitude accompanied by low clouds was observed by LIDAR and sky-radiometer in Tokyo urban area on April 10, 2001. To synthesize the top of atmosphere (TOA) reflectance, radiative transfer simulation conducted assuming aerosol/cloud vertical structure and aerosol size distribution that were modeled after the ground observations. The refractive index of Asian dust is derived from a laboratory measurement of sampled Chinese soil particles. The synthesized TOA reflectance is compared to the SeaWiFS-derived one sampled at the low cloud pixels whose airmass is the same as the one passed at the observation site. While the two TOA reflectances compare generally well with few percent difference in reflectance, possible sources of the discrepancy are discussed.

• Journal of Internet of Things and Convergence
• /
• v.8 no.6
• /
• pp.85-92
• /
• 2022

Demand for big data analysis and AI developers is increasing, but there is a lack of an education base to supply them. In this paper, by developing a cloud-based artificial intelligence education platform, the goal was to establish an environment in which practical practical training can be efficiently learned at low cost at educational institutions and IT companies. The development of the education platform was carried out by planning scenarios for each user, architecture design, screen design, implementation of development functions, and hardware construction. This training platform consists of a containerized workload, service management platform, lecture and development platform for instructors and students, and secured cloud stability through real-time alarm system and age test, CI/CD development environment, and reliability through docker image distribution. The development of this education platform is expected to expand opportunities to enter new businesses in the education field and contribute to fostering working-level human resources in the AI and big data fields.

• Journal of Convergence for Information Technology
• /
• v.11 no.4
• /
• pp.46-54
• /
• 2021

As the realization of the 4th industrial revolution is approaching, the paradigm of the corporate work environment is changing to digital, from the traditional work environment. In particular, technologies like RPA(robotic process automation) and chatbot reduce the need for human labor or task by automating simple repetitive tasks, enabling humans to focus on more valuable tasks. In this study, corporates operating expense management services in public cloud computing environments develop a cloud module that simplifies expense report management by grafting robotic process automation and chatbot technology. According to the result of the expert evaluation, the developed system marked 80.3% of satisfaction levels and the highest satisfaction level 94% was confirmed in terms of easy of use. Based on the research result, future research can be suggested to expand the works occurring inside and outside the company to a single RPA environment by additionally linking the work system related to expense management.

• Korean Journal of Agricultural Science
• /
• v.49 no.3
• /
• pp.483-493
• /
• 2022

It is important to improve the efficiency of plant breeding and crop yield to fulfill increasing food demands. In plant phenotyping studies, the capability to correlate morphological traits such as plant height, stem diameter, leaf length, leaf width, leaf angle and size of panicle of the plants has an important role. However, manual phenotyping of plants is prone to human errors and is labor intensive and time-consuming. Hence, it is important to develop techniques that measure plant phenotypic traits accurately and rapidly. The aim of this study was to determine the feasibility of point cloud data based on a 3D light detection and ranging (LiDAR) system for plant phenotyping. The obtained results were then verified through manually acquired data from the sorghum samples. This study measured the plant height, plant crown diameter and the panicle height and diameter. The R² of each trait was 0.83, 0.94, 0.90, and 0.90, and the root mean square error (RMSE) was 6.8 cm, 1.82 cm, 5.7 mm, and 7.8 mm, respectively. The results showed good correlation between the point cloud data and manually acquired data for plant phenotyping. The results indicate that the 3D LiDAR system has potential to measure the phenotypes of sorghum in a rapid and accurate way.

• Journal of the Korea institute for structural maintenance and inspection
• /
• v.27 no.5
• /
• pp.84-88
• /
• 2023

This study proposes an automated tilt measurement method using point cloud for buildings. The proposed method consists of two main steps: 1) exterior wall plane extraction, and 2) edge estimation and angle calculation. To validate the performance of the proposed method, the algorithm is applied to a target building, of which the estimated tilt values are compared with those obtained from a total station, a commonly used tool for tilt measurement. The result shows that most estimated tilt values are within the maximum and minimum ranges of the total station measurement, suggesting that the proposed algorithm provides sufficient measurement accuracy. Furthermore, the proposed method is shown to be automated and reliable as well as free from human-induced errors compared to the total station.

• Korean Journal of Human Ecology
• /
• v.6 no.1
• /
• pp.97-109
• /
• 1997

Sean means a narrow cloth added to the edge of costume or cushion. At the beginning, Seon was originated to prevent from fraying warp of cloth or wearing out of cloth. However, with the progress of clothing culture, it is used to satisfy the human desire of decoration and enhance the function of costume. The Seon appeared on costumes of Ming dynasty was simple compared to that of the period preceeding it. The position of Seon was mostly at neckline, end of sleeves and hemline. The width of Seon also was quite monotonous and lacks of varieties. The patterns of Seon were limited to ax, cloud and dragon and cloud and chinese phoenix. And the colors used were also limited to four colors, namely Blue, Red Crimson and Black. In Ming dynasty, the same colors of Seon as those of the costume were more preferably used, while different colors of Seon were used in the previous era. The reason why Seon in Ming dynasty show simple design and use the same colors as those of the costume was due to Ming dynasty's desire to represent and to enhance her castic political structure. The need for class distinction was expressed through the pattern rather than the colors of the costumes themselves. While, in Ming dynasty, Bo(補) which was attached to the breast and the shoulders was used to represent the social class because it could be easily distinguished. In Ming dynasty, to stress Bo and to make Seon less conspicuous, Seon became simple and the colors of Seon were same as those of the costumes avoiding strong contrast in style and colors.

• Journal of Korea Society of Industrial Information Systems
• /
• v.25 no.2
• /
• pp.19-27
• /
• 2020

Recently, rapid and accurate 3D models creation is required in various applications using virtual reality and augmented reality technology. In this paper, we propose an on-site learning based shape deformation method which transforms the clothed 3D human model into the shape of an input point cloud. The proposed algorithm consists of two main parts: one is pre-learning and the other is on-site learning. Each learning consists of encoder, template transformation and decoder network. The proposed network is learned by unsupervised method, which uses the Chamfer distance between the input point cloud form and the template vertices as the loss function. By performing on-site learning on the input point clouds during the inference process, the high accuracy of the inference results can be obtained and presented through experiments.

• The Journal of the Korea Contents Association
• /
• v.11 no.12
• /
• pp.674-681
• /
• 2011

'The Three Bonds And The Morals in Human Relations' was published in Joseon Dynasty period in 1434, relatively early days of comic history in the world. The gaps between comics frames have symbolic meaning as comics frames have in the area of symbols of comics. After comics frames appeared, it was likely that the advent of the gaps between frames had its own value in the aspect of comics history. Historical backgrounds of domestic comics would be built on firm base led by studying on the symbolic meaning of the gaps between comics frames. Two forms of the gaps between frames were shown in 'The Three Bonds And The Morals in Human Relations.' The first form is the gap between cloud frames. The second is the gap between cloud frame and background frame. Although a little difference is found in the shape and display, two forms of the gaps between frames in 'The Three Bonds And The Morals in Human Relations' have a similarity to modern comics. This study is to demonstrate valid background for the domestic history of comics by means of analyzing the shapes of the gap between comics frames in 'The Three Bonds And The Morals in Human Relations.' The objective of this study is to prove the meaning of the shapes of the gaps between comics frames 'The Three Bonds And The Morals in Human Relations', focusing the gaps between frames among symbols of comics.