• Title/Summary/Keyword: Integrated Model

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Feasibility Study of Developing Ship Engineering Control System based on DDS Middle-ware (DDS 미들웨어 기반의 선박 통합기관감시제어체계 개발 가능성 연구)

  • Seongwon Oh
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.29 no.6
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    • pp.653-658
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    • 2023
  • In systems like the combat management system of a naval ship or smart city of civilians, where many sensors and actuators are connected, the middle-ware DDS (Data Distribution Service) is mainly used to transmit large amounts of data. It is scalable and can effectively respond to the increase in sensors or equipment connected to the system in the future. The engineering control system (ECS), which plays an important role similar to the combat management system of a naval ship, still uses Server-Client model with industrial protocols such as Modbus and CAN (Controller Area Network) bus, to transmit data, which is unfavorable in terms of scalability. However, as automation and unmanned systems advance, more sensors and actuators are expected to be added, necessitating substantial program modification. DDS can effectively address such situations. The purpose of this study is to confirm the development possibility of an integrated monitoring and control system of a ship by using OpenDDS, which follows the OMG (Object Management Group) standard among the middle-ware DDS used in the combat management system. To achieve this goal, field equipment simulators and an ECS server were configured to perform field equipment data input/output and simulation using DDS was performed. The ECS prototype successfully handled data transmission, confirming that DDS is capable of serving as the middle-ware for the ECS of a ship.

Current Status and Perspective of Smart Vegetable Seedling Production Technology in the Republic of Korea (국내 스마트 채소 육묘 기술 개발 현황 및 전망)

  • Dong Hyeon Kang;So Young Lee;Hey Kyung Kim;Sewoong An
    • Journal of Practical Agriculture & Fisheries Research
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    • v.26 no.1
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    • pp.22-29
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    • 2024
  • In this study, we summarized the definition of smart vegetable seedling production technology, analysis of smart seedling production system, a hardware and software configuration model for smart seedling production system, research and development trends in smart seedling production system, and proposed future research and development plans for smart seedling production technology. Smart vegetable seedling production is a data-based seedling production, management, and distribution system that utilizes 4th Industrial Revolution technology to improve seedling productivity and quality. The production of vegetable seedlings using smart seedling production technology can be efficiently managed by collecting, analyzing, and managing information on seedlings, environment, and tasks at each stage of production by linking with the smart seedling integrated management system. However, there is still a lack of standardization of seedling standards and quality for each vegetable crop to establish smart seeding production technology, as well as development of smart seedling production element technology, which requires national wide R&D support.

How to Identify Customer Needs Based on Big Data and Netnography Analysis (빅데이터와 네트노그라피 분석을 통합한 온라인 커뮤니티 고객 욕구 도출 방안: 천기저귀 온라인 커뮤니티 사례를 중심으로)

  • Soonhwa Park;Sanghyeok Park;Seunghee Oh
    • Information Systems Review
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    • v.21 no.4
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    • pp.175-195
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    • 2019
  • This study conducted both big data and netnography analysis to analyze consumer needs and behaviors of online consumer community. Big data analysis is easy to identify correlations, but causality is difficult to identify. To overcome this limitation, we used netnography analysis together. The netnography methodology is excellent for context grasping. However, there is a limit in that it is time and costly to analyze a large amount of data accumulated for a long time. Therefore, in this study, we searched for patterns of overall data through big data analysis and discovered outliers that require netnography analysis, and then performed netnography analysis only before and after outliers. As a result of analysis, the cause of the phenomenon shown through big data analysis could be explained through netnography analysis. In addition, it was able to identify the internal structural changes of the community, which are not easily revealed by big data analysis. Therefore, this study was able to effectively explain much of online consumer behavior that was difficult to understand as well as contextual semantics from the unstructured data missed by big data. The big data-netnography integrated model proposed in this study can be used as a good tool to discover new consumer needs in the online environment.

Users' Attachment Styles and ChatGPT Interaction: Revealing Insights into User Experiences

  • I-Tsen Hsieh;Chang-Hoon Oh
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.3
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    • pp.21-41
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    • 2024
  • This study explores the relationship between users' attachment styles and their interactions with ChatGPT (Chat Generative Pre-trained Transformer), an advanced language model developed by OpenAI. As artificial intelligence (AI) becomes increasingly integrated into everyday life, it is essential to understand how individuals with different attachment styles engage with AI chatbots in order to build a better user experience that meets specific user needs and interacts with users in the most ideal way. Grounded in attachment theory from psychology, we are exploring the influence of attachment style on users' interaction with ChatGPT, bridging a significant gap in understanding human-AI interaction. Contrary to expectations, attachment styles did not have a significant impact on ChatGPT usage or reasons for engagement. Regardless of their attachment styles, hesitated to fully trust ChatGPT with critical information, emphasizing the need to address trust issues in AI systems. Additionally, this study uncovers complex patterns of attachment styles, demonstrating their influence on interaction patterns between users and ChatGPT. By focusing on the distinctive dynamics between users and ChatGPT, our aim is to uncover how attachment styles influence these interactions, guiding the development of AI chatbots for personalized user experiences. The introduction of the Perceived Partner Responsiveness Scale serves as a valuable tool to evaluate users' perceptions of ChatGPT's role, shedding light on the anthropomorphism of AI. This study contributes to the wider discussion on human-AI relationships, emphasizing the significance of incorporating emotional intelligence into AI systems for a user-centered future.

GPU Based Feature Profile Simulation for Deep Contact Hole Etching in Fluorocarbon Plasma

  • Im, Yeon-Ho;Chang, Won-Seok;Choi, Kwang-Sung;Yu, Dong-Hun;Cho, Deog-Gyun;Yook, Yeong-Geun;Chun, Poo-Reum;Lee, Se-A;Kim, Jin-Tae;Kwon, Deuk-Chul;Yoon, Jung-Sik;Kim3, Dae-Woong;You, Shin-Jae
    • Proceedings of the Korean Vacuum Society Conference
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    • 2012.08a
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    • pp.80-81
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    • 2012
  • Recently, one of the critical issues in the etching processes of the nanoscale devices is to achieve ultra-high aspect ratio contact (UHARC) profile without anomalous behaviors such as sidewall bowing, and twisting profile. To achieve this goal, the fluorocarbon plasmas with major advantage of the sidewall passivation have been used commonly with numerous additives to obtain the ideal etch profiles. However, they still suffer from formidable challenges such as tight limits of sidewall bowing and controlling the randomly distorted features in nanoscale etching profile. Furthermore, the absence of the available plasma simulation tools has made it difficult to develop revolutionary technologies to overcome these process limitations, including novel plasma chemistries, and plasma sources. As an effort to address these issues, we performed a fluorocarbon surface kinetic modeling based on the experimental plasma diagnostic data for silicon dioxide etching process under inductively coupled C4F6/Ar/O2 plasmas. For this work, the SiO2 etch rates were investigated with bulk plasma diagnostics tools such as Langmuir probe, cutoff probe and Quadruple Mass Spectrometer (QMS). The surface chemistries of the etched samples were measured by X-ray Photoelectron Spectrometer. To measure plasma parameters, the self-cleaned RF Langmuir probe was used for polymer deposition environment on the probe tip and double-checked by the cutoff probe which was known to be a precise plasma diagnostic tool for the electron density measurement. In addition, neutral and ion fluxes from bulk plasma were monitored with appearance methods using QMS signal. Based on these experimental data, we proposed a phenomenological, and realistic two-layer surface reaction model of SiO2 etch process under the overlying polymer passivation layer, considering material balance of deposition and etching through steady-state fluorocarbon layer. The predicted surface reaction modeling results showed good agreement with the experimental data. With the above studies of plasma surface reaction, we have developed a 3D topography simulator using the multi-layer level set algorithm and new memory saving technique, which is suitable in 3D UHARC etch simulation. Ballistic transports of neutral and ion species inside feature profile was considered by deterministic and Monte Carlo methods, respectively. In case of ultra-high aspect ratio contact hole etching, it is already well-known that the huge computational burden is required for realistic consideration of these ballistic transports. To address this issue, the related computational codes were efficiently parallelized for GPU (Graphic Processing Unit) computing, so that the total computation time could be improved more than few hundred times compared to the serial version. Finally, the 3D topography simulator was integrated with ballistic transport module and etch reaction model. Realistic etch-profile simulations with consideration of the sidewall polymer passivation layer were demonstrated.

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Development of Needs Extraction Algorithm Fitting for Individuals in Care Management for the Elderly in Home (재가노인 사례관리의 욕구사정 정확도 향상을 위한 욕구추출 알고리즘 개발 - 데이터 마이닝 분석기법을 활용하여 -)

  • Kim, Young-Sook;Jung, Kook-In;Park, So-Rah
    • Korean Journal of Social Welfare
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    • v.60 no.1
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    • pp.187-209
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    • 2008
  • The authors developed 28 needs assessment tools for integrated assessment centered on needs, which is the core element in care management for the elderly in home. Also, the authors collected the assessment data of 676 elderly persons in home from 120 centers under the Korea Association of Senior Welfare Centers by using the needs assessment tools, and finally developed needs extraction algorithm through decision tree analysis in data mining to identify their actual needs and provide social welfare service suitable for such needs. The needs extraction algorithm for 28 needs of the elderly in home are summarized in

    . The Need No. 8 "Having need of help in going out" of the decision-making model, for example, was divided into 80.3% of asking for help and 11.4% not asking for help with Appeal No. 23 as a major variable. The need increased by 87.9% when the elderly appealed for help to go out and they had a caregiver but decreased by 47.4% when they had no caregiver. When the elderly asked for help in going out, they had a caregiver, and they needed complete help in cleaning, their need of help in going out was shown as 94.2%. However, seen from their answer that they needed complete help in bathing of ADL even if they did not ask for help in going out, it was found that the need of help in going out sharply increased from 11.4% to 80.0%. On the other hand, when they needed partial help or self-supported in bathing, the potential for them to be classified as asking for help in going out was shown to be low as 7.7%. In the said decision-making model, the number of cases for parent node and child node was designated as 50 and 25, respectively, with level 5 of the maximum tree depth as stopping rule. By this, it was shown that their decision-making was found to be effective as 182.13% for the need "Having need of help in going out". The algorithm presented in this study can be useful as systematic and scientific fundamental data in assessment of needs of the elderly in home.

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  • Local Shape Analysis of the Hippocampus using Hierarchical Level-of-Detail Representations (계층적 Level-of-Detail 표현을 이용한 해마의 국부적인 형상 분석)

    • Kim Jeong-Sik;Choi Soo-Mi;Choi Yoo-Ju;Kim Myoung-Hee
      • The KIPS Transactions:PartA
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      • v.11A no.7 s.91
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      • pp.555-562
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      • 2004
    • Both global volume reduction and local shape changes of hippocampus within the brain indicate their abnormal neurological states. Hippocampal shape analysis consists of two main steps. First, construct a hippocampal shape representation model ; second, compute a shape similarity from this representation. This paper proposes a novel method for the analysis of hippocampal shape using integrated Octree-based representation, containing meshes, voxels, and skeletons. First of all, we create multi-level meshes by applying the Marching Cube algorithm to the hippocampal region segmented from MR images. This model is converted to intermediate binary voxel representation. And we extract the 3D skeleton from these voxels using the slice-based skeletonization method. Then, in order to acquire multiresolutional shape representation, we store hierarchically the meshes, voxels, skeletons comprised in nodes of the Octree, and we extract the sample meshes using the ray-tracing based mesh sampling technique. Finally, as a similarity measure between the shapes, we compute $L_2$ Norm and Hausdorff distance for each sam-pled mesh pair by shooting the rays fired from the extracted skeleton. As we use a mouse picking interface for analyzing a local shape inter-actively, we provide an interaction and multiresolution based analysis for the local shape changes. In this paper, our experiment shows that our approach is robust to the rotation and the scale, especially effective to discriminate the changes between local shapes of hippocampus and more-over to increase the speed of analysis without degrading accuracy by using a hierarchical level-of-detail approach.

    The Effect of Entrepreneurship Education for Seniors on Entrepreneurship Intention: Integrating the Theory of Planned Behavior and Self-determination Theory (시니어 대상 창업교육이 창업의도에 미치는 영향: 계획된 행동이론과 자기결정 이론의 통합모델 중심으로)

    • Chung, Chan-Young;Lee, So-Young
      • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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      • v.15 no.4
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      • pp.69-81
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      • 2020
    • This study is to identify the effect of seniors in their 40s and 50s on their entrepreneurial intentions through attitude on entrepreneurship, subjective norms, and perceived behavioral control by utilizing the integrated model of the theory of planned behavior and self-determination theory. Also, in this process, we tried to analyze moderating effect of entrepreneurship education for seniors. An online survey was conducted for seniors in their 40s and 50s living in Seoul and Gyeonggi province, out of the total 284 questionnaire responses, 243 valid questionnaires were used in the study. Research analysis utilized SPSS 24, AMOS 23 structural equation model and Professor Hayes' Process 3.4 to analyze moderating effect. The results of the study were summarized as follows. First, autonomous motivation had a positive influence on attitude toward entrepreneurship, subjective norms and perceived behavioral control. But controlled motivation didn't have the significant influence on attitude, subjective norms and perceived behavioral control. Second, attitude toward entrepreneurship, subjective norms and perceived behavioral control had positive influence on entrepreneurship intention. Third, as a result of analyzing moderating effect of entrepreneurship education for seniors, the significant moderating effect was verified between attitude and entrepreneurship intention. Also the significant moderating effect was verified between subjective norms and entrepreneurship intention. On the other hand, no significant moderating effect was proved between perceived behavioral control and entrepreneurship intention. The implication of this study is that for retired seniors planning to enter into entrepreneurship, the result can contribute to the development of a entrepreneurship support program that can increase new startup creation, survival and sucess by diagnosing autonomous and controlled motivation for entrepreneurship. In addition, by providing entrepreneurship education as well as re-employment training in the senior outplacement program, the study can contribute to widening the opportunities for seniors to second career after retirement.

    A Comparative Case Study on the Adaptation Process of Advanced Information Technology: A Grounded Theory Approach for the Appropriation Process (신기술 사용 과정에 관한 비교 사례 연구: 기술 전유 과정의 근거이론적 접근)

    • Choi, Hee-Jae;Lee, Zoon-Ky
      • Asia pacific journal of information systems
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      • v.19 no.3
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      • pp.99-124
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      • 2009
    • Many firms in Korea have adopted and used advanced information technology in an effort to boost efficiency. The process of adapting to the new technology, at the same time, can vary from one firm to another. As such, this research focuses on several relevant factors, especially the roles of social interaction as a key variable that influences the technology adaptation process and the outcomes. Thus far, how a firm goes through the adaptation process to the new technology has not been yet fully explored. Previous studies on changes undergone by a firm or an organization due to information technology have been pursued from various theoretical points of views, evolved from technological and institutional views to an integrated social technology views. The technology adaptation process has been understood to be something that evolves over time and has been regarded as cycles between misalignments and alignments, gradually approaching the stable aligned state. The adaptation process of the new technology was defined as "appropriation" process according to Poole and DeSanctis (1994). They suggested that this process is not automatically determined by the technology design itself. Rather, people actively select how technology structures should be used; accordingly, adoption practices vary. But concepts of the appropriation process in these studies are not accurate while suggested propositions are not clear enough to apply in practice. Furthermore, these studies do not substantially suggest which factors are changed during the appropriation process and what should be done to bring about effective outcomes. Therefore, research objectives of this study lie in finding causes for the difference in ways in which advanced information technology has been used and adopted among organizations. The study also aims to explore how a firm's interaction with social as well as technological factors affects differently in resulting organizational changes. Detail objectives of this study are as follows. First, this paper primarily focuses on the appropriation process of advanced information technology in the long run, and we look into reasons for the diverse types of the usage. Second, this study is to categorize each phases in the appropriation process and make clear what changes occur and how they are evolved during each phase. Third, this study is to suggest the guidelines to determine which strategies are needed in an individual, group and organizational level. For this, a substantially grounded theory that can be applied to organizational practice has been developed from a longitudinal comparative case study. For these objectives, the technology appropriation process was explored based on Structuration Theory by Giddens (1984), Orlikoski and Robey (1991) and Adaptive Structuration Theory by Poole and DeSanctis (1994), which are examples of social technology views on organizational change by technology. Data have been obtained from interviews, observations of medical treatment task, and questionnaires administered to group members who use the technology. Data coding was executed in three steps following the grounded theory approach. First of all, concepts and categories were developed from interviews and observation data in open coding. Next, in axial coding, we related categories to subcategorize along the lines of their properties and dimensions through the paradigm model. Finally, the grounded theory about the appropriation process was developed through the conditional/consequential matrix in selective coding. In this study eight hypotheses about the adaptation process have been clearly articulated. Also, we found that the appropriation process involves through three phases, namely, "direct appropriation," "cooperate with related structures," and "interpret and make judgments." The higher phases of appropriation move, the more users represent various types of instrumental use and attitude. Moreover, the previous structures like "knowledge and experience," "belief that other members know and accept the use of technology," "horizontal communication," and "embodiment of opinion collection process" are evolved to higher degrees in their dimensions of property. Furthermore, users continuously create new spirits and structures, while removing some of the previous ones at the same time. Thus, from longitudinal view, faithful and unfaithful appropriation methods appear recursively, but gradually faithful appropriation takes over the other. In other words, the concept of spirits and structures has been changed in the adaptation process over time for the purpose of alignment between the task and other structures. These findings call for a revised or extended model of structural adaptation in IS (Information Systems) literature now that the vague adaptation process in previous studies has been clarified through the in-depth qualitative study, identifying each phrase with accuracy. In addition, based on these results some guidelines can be set up to help determine which strategies are needed in an individual, group, and organizational level for the purpose of effective technology appropriation. In practice, managers can focus on the changes of spirits and elevation of the structural dimension to achieve effective technology use.

    Water quality prediction of inflow of the Yongdam Dam basin and its reservoir using SWAT and CE-QUAL-W2 models in series to climate change scenarios (SWAT 및 CE-QUAL-W2 모델을 연계 활용한 기후변화 시나리오에 따른 용담댐 유입수 및 호내 수질 변화 예측)

    • Park, Jongtae;Jang, Yujin;Seo, Dongil
      • Journal of Korea Water Resources Association
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      • v.50 no.10
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      • pp.703-714
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      • 2017
    • This paper analyzes the impact of two climate change scenarios on flow rate and water quality of the Yongdam Dam and its basin using CE-QUAL-W2 and SWAT, respectively. Under RCP 4.5 and RCP 8.5 scenarios by IPCC, simulations were performed for 2016~2095, and the results were rearranged into three separate periods; 2016~2035, 2036~2065 and 2066~2095. Also, the result of each year was divided as dry season (May~Oct) and wet season (Nov~Apr) to account for rainfall effect. For total simulation period, arithmetic average of flow rate and TSS (Total Suspended Solid) and TP (Total Phosphorus) were greater for RCP 4.5 than those of RCP 8.5, whereas TN (Total Nitrogen) showed contrary results. However, when averaged within three periods and rainfall conditions the tendencies were different from each other. As the scenarios went on, the number of rainfall days has decreased and the rainfall intensities have increased. These resulted in waste load discharge from the basin being decreased during the dry period and it being increased in the wet period. The results of SWAT model were used as boundary conditions of CE-QUAL-W2 model to predict water level and water quality changes in the Yongdam Dam. TSS and TP tend to increase during summer periods when rainfalls are higher, while TN shows the opposite pattern due to its weak absorption to particulate materials. Therefore, the climate change impact must be carefully analyzed when temporal and spatial conditions of study area are considered, and water quantity and water quality management alternatives must be case specific.