• Title/Summary/Keyword: Task Process

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A Study on Development and Real-Time Implementation of Voice Recognition Algorithm (화자독립방식에 의한 음성인식 알고리즘 개발 및 실시간 실현에 관한 연구)

  • Jung, Yang-geun;Jo, Sang Young;Yang, Jun Seok;Park, In-Man;Han, Sung Hyun
    • Journal of the Korean Society of Industry Convergence
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    • v.18 no.4
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    • pp.250-258
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    • 2015
  • In this research, we proposed a new approach to implement the real-time motion control of biped robot based on voice command for unmanned FA. Voice is one of convenient methods to communicate between human and robots. To command a lot of robot task by voice, voice of the same number have to be able to be recognition voice is, the higher the time of recognition is. In this paper, a practical voice recognition system which can recognition a lot of task commands is proposed. The proposed system consists of a general purpose microprocessor and a useful voice recognition processor which can recognize a limited number of voice patterns. Given biped robots, each robot task is, classified and organized such that the number of robot tasks under each directory is net more than the maximum recognition number of the voice recognition processor so that robot tasks under each directory can be distinguished by the voice recognition command. By simulation and experiment, it was illustrated the reliability of voice recognition rates for application of the manufacturing process.

The Effects of Mental Capacity and Size of Chunk of Problem Solver and Mental Demand of Problem on Science Problem Solving

  • Ahn, Soo-Young
    • Journal of The Korean Association For Science Education
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    • v.22 no.5
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    • pp.1030-1043
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    • 2002
  • The development of cognitive psychology provides us a theoretical base from which we can obtain information about human problem solving. One purpose of this study was to investigate the effects of cognitive psychological factors on the problem solving of the two kinds of tasks (content free, content specific). And the other purpose was to find out the existence of critical situation in problem solving process. Even the items of tasks with the same logical structure and content knowledge could have different sizes of mental demand. The results were as follows. The mental demand of the problem, and the problem solver's mental capacity, might be the main factors in problem solving. Critical situation of both a group and an individual existed in the tasks that need content free knowledge (FIT 752 task). But the critical situation of a group was completely different from that of the individual in the tasks that need content specific knowledge (electric circuit task). According to the analysis of achievement for each individual in the task that need content specific knowledge, the critical situation of an individual existed in problem solving, but the critical situation of a group was not existed by were summed up the individual results.

Job Analysis of Geriatric Visiting Nurses (노인전담 방문간호사의 직무분석)

  • Baek, Hee Chong;Moon, Ji Hyun
    • Journal of Home Health Care Nursing
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    • v.23 no.1
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    • pp.80-89
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    • 2016
  • Purpose: The purpose of this study was to identify the duties and tasks of home visiting geriatric nurses using Development A Curriculum (DACUM) method. Method: The sample consisted of 107 geriatric visiting nurses who worked at community service centers in the Seoul metropolitan area. Job analysis was conducted at a DACUM workshop after that a web-based survey was given to participants to verify the accuracy of the duties and tasks of geriatric visiting nurse. Descriptive statistical analysis was conducted using SPSS 23. Results: A total of 8 duties and 56 tasks were identified as part of the job description of geriatric visiting nurses'. A task verification process was conducted. Overall mean ratings of the task importance were high. 'Recording' was identified as the most frequent duty, and 'Community program planning and operating' was identified as the most difficult duty. Conclusion: Duties and tasks that make up the job of geriatric visiting nurses were identified using the DACUM method. The resulting data will serve as the basis for the design of a curriculum development model for nurses involved in geriatric home visiting education programs, and will also be used to identify training needs and establish a standardized job description for geriatric visiting nurses.

A study on Teacher's Work Space in Middle and High School - Focus on Plan Based Department System Management in Middle and High School - (중·고등학교의 교사업무공간에 관한 연구 - 교과교실형 설계기반 중·고등학교를 중심으로 -)

  • Seo, Boong-Kyo;Kwak, Jun-Hyuck
    • Journal of the Korean Institute of Educational Facilities
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    • v.21 no.1
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    • pp.23-32
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    • 2014
  • Aim of this research is suggesting a satisfied studying space for lecturer, student and curriculum by abstraction of improvement plan which based on investigation and analysis of the space that teacher is using in lecturer and study support facility in school which managed in 'Department system'. This research focused on analyse of teacher's laboratory, teacher's room, and common room in middle and high school which managed and designed by 'Department system' and registered on 'Seoul office of education' and designed in management of department system between 2009 and 2012. With these process, a conclusion of this research is as in the following. Firstly, plan of teachers' private place which is efficient and stable is required through to get out of module which can cover subject band and grade band. Secondly, we have to focus on size of teachers' convenience facilities for convenience or official usage, movement radius, and improvement of working environments. Thirdly, 'Subject type teachers' laboratory' which organized by teachers who teach same subject is more efficient than 'Task type laboratory' which organized by teachers who working on same task for management of school. In fourth, 'Task type teachers' laboratory' arranged regardless with teachers' class room to teach, and it makes lack of connectivity between teacher and class room.

The Neighborhood Effect in Korean Visual Word Recognition (한국어 시각단어재인에서 나타나는 이웃효과)

  • Kwon, You-An;Cho, Hyae-Suk;Kim, Choong-Myung;Nam, Ki-Chun
    • MALSORI
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    • no.60
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    • pp.29-45
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    • 2006
  • We investigated whether the first syllable plays an important role in lexical access in Korean visual word recognition. To do so, one lexical decision task (LDT) and two form primed LDT experiments examined the nature of the syllabic neighborhood effect. In Experiment 1, the syllabic neighborhood density and the syllabic neighborhood frequency was manipulated. The results showed that lexical decision latencies were only influenced by the syllabic neighborhood frequency. The purpose of experiment 2 was to confirm the results of experiment 1 with form-primed LDT task. The lexical decision latency was slower in form-related condition compared to form-unrelated condition. The effect of syllabic neighborhood density was significant only in form-related condition. This means that the first syllable plays an important role in the sub-lexical process. In Experiment 3, we conducted another form-primed LDT task manipulating the number of syllabic neighbors in words with higher frequency neighborhood. The interaction of syllabic neighborhood density and form relation was significant. This result confirmed that the words with higher frequency neighborhood are more inhibited by neighbors sharing the first syllable than words with no higher frequency neighborhood in the lexical level. These findings suggest that the first syllable is the unit of neighborhood and the unit of representation in sub-lexical representation is syllable in Korea.

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A Collaborative Requirements Elicitation Model For Crowdsourcing Platforms

  • Mukundwa, Chantal;Lee, Seok-Won
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.3
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    • pp.95-104
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    • 2019
  • Crowdsourcing is growing its interests in designing where various designers work independently to a given design task. Recent researchers discovered that collaboration by sharing designs among designers helps to produce high-quality designs. However, design task may still be hard even with that collaboration in case the requirements are not well-defined. Most customers sometimes do not know what they really want and do not know how to clearly define the requirements. Consequently, the lack of requirements creates issues on designers, such as spending much time and effort on collecting requirements alone or from the customers. The designers even end up missing important necessities to complete their tasks. To address this issue, we proposed a collaborative requirements elicitation method that supports designers who are working on the same task. We developed CREFD (Collaborative Requirements Elicitation For Designers and Developers) tool to enable designers collaboratively provide requirements, identify dependencies, add annotations and votes to the provided requirements. We performed the hypothetical and empirical evaluations to test and compare the proposed method with one of the existing elicitation methods, the results show that the proposed method helps in collecting accepted and well-organized requirements better than individual requirements elicitation.

A Task Scheduling Strategy in Cloud Computing with Service Differentiation

  • Xue, Yuanzheng;Jin, Shunfu;Wang, Xiushuang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.11
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    • pp.5269-5286
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    • 2018
  • Task scheduling is one of the key issues in improving system performance and optimizing resource management in cloud computing environment. In order to provide appropriate services for heterogeneous users, we propose a novel task scheduling strategy with service differentiation, in which the delay sensitive tasks are assigned to the rapid cloud with high-speed processing, whereas the fault sensitive tasks are assigned to the reliable cloud with service restoration. Considering that a user can receive service from either local SaaS (Software as a Service) servers or public IaaS (Infrastructure as a Service) cloud, we establish a hybrid queueing network based system model. With the assumption of Poisson arriving process, we analyze the system model in steady state. Moreover, we derive the performance measures in terms of average response time of the delay sensitive tasks and utilization of VMs (Virtual Machines) in reliable cloud. We provide experimental results to validate the proposed strategy and the system model. Furthermore, we investigate the Nash equilibrium behavior and the social optimization behavior of the delay sensitive tasks. Finally, we carry out an improved intelligent searching algorithm to obtain the optimal arrival rate of total tasks and present a pricing policy for the delay sensitive tasks.

Procedural Improvements to the Comprehensive Impact Assessment of IMO GHG Reduction Measures

  • Bo-Ram, Kim;Han-Seon, Park;Young-Kwon, Park
    • Applied Chemistry for Engineering
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    • v.34 no.1
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    • pp.75-79
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    • 2023
  • The International Maritime Organization (IMO) Marine Environmental Protection Committee (MEPC) may adopt actions after completing impact assessments and reviewing results in accordance with the original strategy and impact assessment procedure (MEPC.1/Circ.885). The assessment of the impact of greenhouse gas (GHG) reduction measures is an important step in determining whether to implement GHG regulations. This study identifies and proposes improvements in the impact assessment procedure for future mid- and long-term measures. Improvements for future measures should start with a review of "the procedure for assessing impacts on states of candidate measures" and "the actual process of the comprehensive impact assessment for short-term measures in 2021." The procedural improvements were largely derived from the order and period of task performance, the clear definition of terms, and the review of task results through lessons learned, analysis, and expert workshops. The impact assessment of future mid- and long-term measures should be procedurally improved to ensure uniformity and consistency, which will provide objective results for Member States and industries to help smooth the adoption of measures.

Deep Reinforcement Learning-Based Cooperative Robot Using Facial Feedback (표정 피드백을 이용한 딥강화학습 기반 협력로봇 개발)

  • Jeon, Haein;Kang, Jeonghun;Kang, Bo-Yeong
    • The Journal of Korea Robotics Society
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    • v.17 no.3
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    • pp.264-272
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    • 2022
  • Human-robot cooperative tasks are increasingly required in our daily life with the development of robotics and artificial intelligence technology. Interactive reinforcement learning strategies suggest that robots learn task by receiving feedback from an experienced human trainer during a training process. However, most of the previous studies on Interactive reinforcement learning have required an extra feedback input device such as a mouse or keyboard in addition to robot itself, and the scenario where a robot can interactively learn a task with human have been also limited to virtual environment. To solve these limitations, this paper studies training strategies of robot that learn table balancing tasks interactively using deep reinforcement learning with human's facial expression feedback. In the proposed system, the robot learns a cooperative table balancing task using Deep Q-Network (DQN), which is a deep reinforcement learning technique, with human facial emotion expression feedback. As a result of the experiment, the proposed system achieved a high optimal policy convergence rate of up to 83.3% in training and successful assumption rate of up to 91.6% in testing, showing improved performance compared to the model without human facial expression feedback.

Mathematical Modeling of the Tennis Serve: Adaptive Tasks from Middle and High School to College

  • Thomas Bardy;Rene Fehlmann
    • Research in Mathematical Education
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    • v.26 no.3
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    • pp.167-202
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    • 2023
  • A central problem of mathematics teaching worldwide is probably the insufficient adaptive handling of tasks-especially in computational practice phases and modeling tasks. All students in a classroom must often work on the same tasks. In the process, the high-achieving students are often underchallenged, and the low-achieving ones are overchallenged. This publication uses different modeling of the tennis serve as an example to show a possible solution to the problem and develops and discusses one adaptive task each for middle school, high school, and college using three mathematical models of the tennis serve each time. From model to model within the task, the complexity of the modeling increases, the mathematical or physical demands on the students increase, and the new modeling leads to more realistic results. The proposed models offer the possibility to address heterogeneous learning groups by their arrangement in the surface structure of the so-called parallel adaptive task and to stimulate adaptive mathematics teaching on the instructional topic of mathematical modeling. Models A through C are suitable for middle school instruction, models C through E for high school, and models E through G for college. The models are classified in the specific modeling cycle and its extension by a digital tool model, and individual modeling steps are explained. The advantages of the presented models regarding teaching and learning mathematical modeling are elaborated. In addition, we report our first teaching experiences with the developed parallel adaptive tasks.