• The Journal of Asian Finance, Economics and Business
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• v.7 no.6
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• pp.287-296
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• 2020

The study investigates the relationship and influence between religiosity, reward, and engagement in the public administration sector, both directly and causally via moderation. This study involved one hundred and twenty-three respondents in three local government organizations in Malang City, East Java Province, Indonesia, namely, the Malang City General Hospital, the Population and Civil Registry Office, and the Investment Office. The sampling method uses stratified random sampling from the total population of civil servants in Malang in the three institutions. The data analysis model of this study uses a quantitative approach with a unit of data analysis using the path analysis method. The analytical tools used are smart-PLS and SPSS. The results reveal that the direct combined effect of reward and religiosity has a positive and significant influence on the engagement. However, moderation between reward and commitment, which is bridged by religiosity, does not show positive and significant results. The non-positive relationship shown by testing moderation concludes that there is a separation of purpose between the portion of religiosity in the world of work, where religiosity in this study is only described as part of the concept of worship, and the relationship between the person and his God.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2010.04a
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• pp.219-220
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• 2010

A new concept of ocean transport system, called mobile harbor, was introduced as a feasibility study in Korea in 2009. Target of the mobile harbor is a smart distance transport of containers with or without cargo handling cranes. Although the mobile harbor project has a lot of topics to deal with, this paper is to focus on only ship-to-ship stabilized mooring, which plays a key role in cargo handling. The ship-to-ship stabilized mooring system was developed and installed on beard a barge of LOA 32m and breadth 12m. The dockside tests as sea test were carried out so as to ascertain ascertained whether the systems can work well to control the barge's motion. The results of dockside test showed that the heave motion of the barge's motion can be reduced by more than 45%.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.310-314
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• 2009

In this paper we propose the U-VR Simulator which seamlessly connects entities in real and virtual environments by exploiting context, based on the concept of ubiquitous virtual reality. Using the U-VR Simulator, a smart home environment can be simulated and new virtual entities such as sensors, actuators, and services can be added to existing real entities. The proposed approach is fast and cost-effective because the simulator effectively utilizes both existing and simulated devices. In addition, our approach allows application developers to rapidly develop U-VR applications and extend them to relevant domains. As a future work, we will expand our simulator to intelligently augment virtual entities into real environments.

• Smart Structures and Systems
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• v.6 no.2
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• pp.91-100
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• 2010

An experimental study was carried out to investigate the shape control of plates via embedded shape memory alloy (SMA) wires. An extensive body of literature proposes the use of SMA wires to actively modify the shape or stiffness of a structure; in most cases, however, the study focuses on modeling and little experimental data is available. In this work, a simple proof of concept specimen was built by attaching four prestrained SMA wires to one side of a carbon fiber laminate plate strip. The specimen was clamped at one end and tested in an environmental chamber, measuring the tip displacement and the SMA temperature. At heating, actuation of the SMA wires bends the plate; at cooling deformation is partially recovered. The specimen was actuated a few times between two fixed temperatures $T_c$ and $T_h$, whereas in the last actuation a temperature $T_f$ > $T_h$ was reached. Contrary to most model predictions, in the first actuation the transformation temperatures are significantly higher than in the following cycles, which are stable. Moreover, if the temperature $T_h$ is exceeded, two separate actuations occur during heating: the first follows the path of the stable cycles; the second, starting at $T_h$, is similar to the first cycle. An interpretation of the phenomenon is given using some differential scanning calorimeter (DSC) measurements. The observed behavior emphasizes the need to build a more comprehensive constitutive model able to include these effects.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.6
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• pp.1849-1876
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• 2022

Wireless Sensor Network (WSN) is considered as an integral part of the Internet of Things (IoT) for collecting real-time data from the site having many applications in industry 4.0 and smart cities. The task of nodes is to sense the environment and send the relevant information over the internet. Though this task seems very straightforward but it is vulnerable to certain issues like energy consumption, delay, throughput, etc. To efficiently address these issues, this work develops a cross-layer model for the optimization between MAC and the Network layer of the OSI model for WSN. A high value of duty cycle for nodes is selected to control the delay and further enhances data transmission reliability. A node measurement prediction system based on the Kalman filter has been introduced, which uses the constraint based on covariance value to decide the scheduling scheme of the nodes. The concept of duty cycle for node scheduling is employed with a greedy data forwarding scheme. The proposed Duty Cycle-based Greedy Routing (DCGR) scheme aims to minimize the hop count, thereby mitigating the energy consumption rate. The proposed algorithm is tested using a real-world wastewater treatment dataset. The proposed method marks an 87.5% increase in the energy efficiency and reduction in the network latency by 61% when validated with other similar pre-existing schemes.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.2
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• pp.437-448
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• 2022

The impact of supervisory communication apprehension (SCA) on subordinates' job performance was investigated in this study. We also examined the impact of task-related uncertainty in mediating the relationship between SCA and subordinate work performance, as well as the role of information-seeking behavior in moderating the relationship between task-related uncertainty and subordinate job performance. A sample of subordinates and their supervisors from public and private sector enterprises in Pakistan were used in the study. The concept of communication apprehension is not limited to a single organization or industry, and the conditions suggest that apprehensive supervisors are likely to exist in different organizations and industries in Pakistan, including banks, telecommunications, and development sector organizations. Company directors and leaders of human resources departments were contacted to reach out to possible respondents. SmartPLS software was used to evaluate the data using a structural equation modeling technique which is commonly used in explanatory studies (Atta et al., 2021). We found evidence to support ideas predicting the association between SCA and subordinate job performance, as well as the mediating role of task-related ambiguity in the relationship. Furthermore, the findings show that information-seeking activity has a moderating effect on the link between task-related ambiguity and subordinate job performance. This is one of the first studies to look at major mediating and moderating mechanisms in the link between SCA and subordinate job performance.

• Proceedings of the Korean Society of Crop Science Conference
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• 2023.04a
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• pp.7-7
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• 2023

Currently, the main technologies of various fourth industries are big data, the Internet of Things, artificial intelligence, blockchain, mixed reality (MR), and drones. In particular, "digital twin," which has recently become a global technological trend, is a concept of a virtual model that is expressed equally in physical objects and computers. By creating and simulating a Digital twin of software-virtualized assets instead of real physical assets, accurate information about the characteristics of real farming (current state, agricultural productivity, agricultural work scenarios, etc.) can be obtained. This study aims to streamline agricultural work through automatic water management, remote growth forecasting, drone control, and pest forecasting through the operation of an integrated control system by constructing digital twin data on the main production area of the nojinot industry and designing and building a smart farm complex. In addition, it aims to distribute digital environmental control agriculture in Korea that can reduce labor and improve crop productivity by minimizing environmental load through the use of appropriate amounts of fertilizers and pesticides through big data analysis. These open-field agricultural technologies can reduce labor through digital farming and cultivation management, optimize water use and prevent soil pollution in preparation for climate change, and quantitative growth management of open-field crops by securing digital data for the national cultivation environment. It is also a way to directly implement carbon-neutral RED++ activities by improving agricultural productivity. The analysis and prediction of growth status through the acquisition of the acquired high-precision and high-definition image-based crop growth data are very effective in digital farming work management. The Southern Crop Department of the National Institute of Food Science conducted research and development on various types of open-field agricultural smart farms such as underground point and underground drainage. In particular, from this year, commercialization is underway in earnest through the establishment of smart farm facilities and technology distribution for agricultural technology complexes across the country. In this study, we would like to describe the case of establishing the agricultural field that combines digital twin technology and open-field agricultural smart farm technology and future utilization plans.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.14 no.3
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• pp.201-207
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• 2021

Deep learning, a type of machine learning, performs learning while changing the weights as it progresses through each learning process. Tensor Flow and Keras provide the results of the end of the learning in graph form. Thus, If an error occurs, the result must be discarded. Consequently, existing technologies provide a function to roll back learning results, but the rollback function is limited to results up to five times. Moreover, they applied the concept of MLOps to track the deep learning process, but no rollback capability is provided. In this paper, we construct a system that manages the intermediate value of the learning process by blockchain to record the intermediate learning process and can rollback in the event of an error. To perform the functions of blockchain, the deep learning process and the rollback of learning results are designed to work by writing Smart Contracts. Performance evaluation shows that, when evaluating the rollback function of the existing deep learning method, the proposed method has a 100% recovery rate, compared to the existing technique, which reduces the recovery rate after 6 times, down to 10% when 50 times. In addition, when using Smart Contract in Ethereum blockchain, it is confirmed that 1.57 million won is continuously consumed per block creation.

• 한국HCI학회:학술대회논문집
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• 2008.02b
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• pp.424-429
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• 2008

The purpose of this research is to suggest a competitive design by producing functions and elements needed to users based on a research about device use and needs according to user behavior. We proceeded to the research aiming a design smart document-editing device design which can be used for business regardless of place (at office or home), targeting reasonable and individualistic users from twenties to thirties. By some ways for that, first, we selected target users and based on user interviews to get enough understanding for them. Second, we produced user needs by some troubles after establishing persona and deciding target users on the basis of the research. Third, we designed form-factor visualizing work, organized design spec by the produced concept, and we developed interaction design on the basis of this scenario. Fourth, we made paper prototype and conducted user test. As a result, our final design emphasizes mobile ability and simplicity to be suitable for reasonable individualism and is able to efficiently work input, editing, and output without complicated procedure. We could also prove the validity of the design through usability test.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.43 no.1
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• pp.143-150
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• 2020

To enhance the effectiveness of the FMS (flexible manufacturing system), it is necessary for the manufacturing control system to be upgraded by integrating the cyber and the physical manufacturing systems. Using the CPPS (Cyber-Physical Production System) concept, this study proposes a 4-stage vertical integration and control framework for an aircraft parts manufacturing plant. In the proposed framework, the process controller prepares the operations schedule for processing work orders generated from the APS (advanced planning & scheduling) system. The scheduled operations and the related control commands are assigned to equipments by the dispatcher of the line controller. The line monitor is responsible for monitoring the overall status of the FMS including work orders and equipments. Finally the process monitor uses the simulation model to check the performance of the production plan using real time plant status data. The W-FMCS (Wing rib-Flexible Manufacturing Control & Simulation) are developed to implement the proposed 4-stage CPPS based FMS control architecture. The effectiveness of the proposed control architecture is examined by the real plant's operational data such as utilization and throughput. The performance improvement examined shows the usefulness of the framework in managing the smart factory's operation by providing a practical approach to integrate cyber and physical production systems.