• Journal of the Semiconductor & Display Technology
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• v.20 no.3
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• pp.117-119
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• 2021

With the development of the industry, the use of drones in specific mission flight is being actively studied. These drones fly a specified path and perform repetitive tasks. if the drone system will detect objects in real time, the performance of these mission flight will increase. In this paper, we implement object detection system and mount GPU acceleration to maximize the efficiency of limited device resources with drone video using Tensorflow Lite which enables in-device inference from a mobile device and Mobile SDK of DJI, a drone manufacture. For performance comparison, the average processing time per frame was measured when object detection was performed using only the CPU and when object detection was performed using the CPU and GPU at the same time.

• Journal of KIBIM
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• v.9 no.4
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• pp.21-30
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• 2019

Many studies on BIM-based design, construction and operation have already been conducted on roads, railways, etc., but BIM research in the ports and harbors is still lacking. This research develops BIM Library and Technical contents focused on practical usability of ports and harbors infrastructure. We have developed technical content by applying various User Interfaces and workflows, considering the characteristics of ports and harbors design. In order to examine the practical utility of the developed library and contents, we tried modeling the breakwater using these. As a result, we confirmed that collaboration of BIM library and technical contents could significantly improve the productivity of BIM design by increasing library usage and automating repetitive tasks.

• International Journal of Computer Science & Network Security
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• v.22 no.11
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• pp.357-366
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• 2022

Artificial intelligence (AI) is the replication of human intelligence by computer systems and machines using tools like machine learning, deep learning, expert systems, and natural language processing. AI can be applied in administrative settings to automate repetitive processes, analyze and forecast data, foster social communication skills among staff, reduce costs, and boost overall operational effectiveness. In order to understand how AI is being used for administrative duties in various organizations, this paper gives a critical dialogue on the topic and proposed a framework for using artificial intelligence in organizations. Additionally, it offers a list of specifications, attributes, and requirements that organizations planning to use AI should consider.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.169-173
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• 2015

The linear scheduling method or line-of-balance (LOB) is a popular choice for projects that involve repetitive tasks during project execution. The method, however, produces deterministic schedule that does not convey a range of potential project outcomes under uncertainty. This results from the fact the basic scheduling parameters such as crew production rates are estimated to be deterministic based on single-point value inputs. The current linear scheduling technique, therefore, lacks the capability of reflecting the fluctuating nature of the project operation. In this paper the authors address the issue of how the variability of operation and production rates affects schedule outcomes and show a more realistic description of what might be a realistic picture of typical projects. The authors provide a solution by providing a more effective and comprehensive way of incorporating the crew performance variability using a Monte Carlo simulation technique. The simulation outcomes are discussed in terms of how this stochastic approach can overcome the shortcomings of the conventional linear scheduling technique and provide optimum schedule solutions.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.93-96
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• 2017

DDS (Data Distribution Serivce) communication middleware is spreading to various private sector as well as the defense sector because it can obtain a very high application effect in a complex system environment in which a plurality of data producers and data consumers are connected by a network. However, application development using DDS middleware is an inefficient structure with a lot of repetitive codes because most users perform 1: 1 mapping with the message they want to exchange. Accordingly, the user has to perform unnecessary repetitive tasks as the topic increases. Therefore, a development support tool that identifies a series of processes required for using DDS middleware and automatically generates the classes that are repeated by Topic is required. In this paper, we propose a method for DDS communication by automatically generating a common class for efficient use of DDS middleware.

• School Mathematics
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• v.17 no.3
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• pp.493-513
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• 2015

This study is based on the perspective that tasks in local and global contexts are important to raise students' ability to mathematically analyze and solve diverse phenomena and social issues as members of future civil society. Therefore, this study analyzes 880 real world tasks from 13 types of 7th grade textbook based on 2009 revised Curriculum. As a result of analyzing tasks by using 3 types of context category and 9 types of ways as analysis framework and allowing repetitive coding, personal context was most frequent in the context of Younbokhap. In level of Integrated ways of Yungbokhap, sequential model in which other subjects' topics were not directly related to mathematics problem or presented in simple description is most frequent. The result shows that the textbooks are too limited to develop learner's competencies. Through such analysis result, we discuss about the necessity and methods of developing tasks which allow learners to study further in future society and global context and which connect other subjects' knowledge and social issue with mathematics in deeper level.

• Journal of the Korean Society of Food Culture
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• v.8 no.3
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• pp.257-266
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• 1993

The purpose of this study was to develop a computer-assisted patients menu planning program for hospital dietetics in order to improve the quality of menu for patients and to release managers from repetitive and routine tasks. Using this program, dietitians can spend more time on professional tasks. Moreover, few studies have been done on computer assisted patients menu planning for patients who need special diets for treatment in domestic hospital dietetics, therefore this program could be a great contribution. A 16-bit personal computer compatible with IBM-PC/AT was used. The data base files and processing program were created by Clipper package ver 5.0. This system can collect a number of meals, plan patients menu and computerize nutrient analysis. The future study will develop program(s) for purchasing, inventory control and data correction. The contents of computerized system are summarized as follows. 1. The number of daily meals of special and general diets given to the patients are collected and saved in database. These data were for the monthly list of meal census which could be printed out on the screen and/or the printer. 2. The menu planning was largely consisted of 2 sections. One was for the patients who require special diets and the other was general diet. And the special diets was divided into 6 sub-sections: diabetic, low-salt, low-fat, low-salt/low-protein, low-fat/low-cholesterol and low residue diets. 3. The nutrient analysis was composed of 11 diet. Sections and diebetic diet was divided into 9 sub-sections according to the calorie requirement. The calculated results were compared with the standards which were established by the hospital dietetic department.

• Journal of Cadastre & Land InformatiX
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• v.49 no.2
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• pp.169-185
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• 2019

While images and aerial photographs using conventional satellites have the advantage of providing data in a vast area, there is a difficult aspect: the limitations of filming and processing data in a particular region at a desired time and the repetitive filming of a short cycle. With the development of many new technologies to overcome these shortcomings, methods of building cadastral information are changing rapidly. In particular, unmanned aerial vehicles that deploy cadastral information quickly and accurately using UAV have increased interest in technology that obtains cadastral information. Therefore, the purpose of this study was to suggest the application of cadastral measurement tasks in areas subject to cadastral measurement using UAV. To this end, the Commission decided to compare and analyze the accuracy of high-resolution images produced by observation area and apply them to existing cadastral work using verified images and cadastral data. In this study, we will analyze the applicability of UAVs to their cadastral survey by analyzing the current status of legislation related to cadastral survey and the technical characteristics of UAVs and propose technological, legal and institutional improvement measures for introduction based on them.

• Journal of the Ergonomics Society of Korea
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• v.28 no.1
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• pp.9-19
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• 2009

Repetitive movement, inadequate working posture, overuse of force, physical contact with sharp edge, vibration and temperature were well known risk factors of WMSDs (Work-related Musculoskeletal Disorders). Many researchers have investigated the relationship between inadequate working postures and incidences of WMSDs of the upper extremities, whereas relatively few researchers have tried to evaluate workload associated with the lower-body postures. The effects of lower-limb postures including various knee flexion angles on the subjective discomfort, heart rate and EMG of lower-limb muscles were investigated in this study. Thirty graduate students were asked to maintain thirteen different body postures, and heart rate and EMG data of five muscle groups (electro spine, biceps femoris, vastus medialis, gastrocnemius and tibialis anterior) from each posture were collected during fifteen minutes sustaining tasks. All participants were also asked to report their discomfort ratings of body parts. Results showed that high subjective discomfort ratings and heart rates were reported at the postures of knee angles of $60^{\circ}$ and $90^{\circ}$, whereas low discomfort ratings were founded at the postures of chair heights with 20cm, 40cm, and sitting with crossed legged. The change of median frequency for each muscle group during fifteen minutes tasks was investigated for each body posture to evaluate the relationship between muscle fatigue and body posture. It was found that the trends of changes of median frequency were different based on muscle group as well as lower-limb body posture from this study.

• Journal of the Ergonomics Society of Korea
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• v.26 no.2
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• pp.45-59
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• 2007

The operating tasks of overhead crane have caused undue stress to the operators from physical, mental, and environmental workload. Existing workload assessment models for musculoskeletal disorders such as OWAS, RULA, and QEC have limited applicability to the crane operating tasks because they focus mainly on physical factors and do not consider the relative importance of each factor. The present study was to develop a workload assessment model customized to overhead crane operation, following a systematic process: (1) analyzing task characteristics, (2) selecting workload factors, (3) developing assessment methods, (4) establishing action levels, and (5) computerizing the assessment model. Based on literature review, worksite survey, and focus group interview, 4 physical factors (awkward posture, static posture, repetitive motion, and excessive force), 6 mental factors (visual demand, auditory demand, task complexity and difficulty, time urgency, work schedule related stress, and safety related stress), and 4 environmental factors (noise, vibration, dust, and temperature) were selected and their rating scales and relative weights were determined. Then, based on the workload assessment results of 8 overhead cranes operated at different workplaces, the action levels of each factor category were established. Finally, the crane operation assessment model was computerized for effective analysis and report preparation. The present approach is applicable to develop a customized workload assessment model for an operating task under consideration.