• Smart Structures and Systems
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• v.25 no.5
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• pp.581-592
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• 2020

Magneto-rheological fluids and magneto-strictive materials are of the well-known smart materials which are used to control and reduce the vibrations of the structures. Vibration analysis of a smart annular three-layered plate is provided in this work. MR fluids are used as the core's material type and the face sheets are made from MS materials and is assumed they are fully bonded to each other. The structure is rested on visco-Pasternak foundation and also is subjected to a transverse magnetic field. The governing motion equations are derived based on CPT and employing Hamilton's principle and are solved via GDQ as a numerical method for various boundary conditions. Effect of different parameters on the results are considered and discussed in detail. One of the salient features of this work is the consideration of MR fluids as the core, MS materials as the faces, and all of them under magnetic field. The outcomes of this study may be led to design and create smart structures such as sensors, actuators and also dampers.

• Proceedings of the Korean Nuclear Society Conference
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• 1996.05a
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• pp.471-476
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• 1996

In this study, the method to use the phase shift keying (PSK) communication technique in smart transmitter is presented. In nuclear applications. smart transmitters for various parameters are expected to improve the accuracy of measurement and to reduce the load of calibration work. The capability of communication in field level is the most important merit of the smart transmitter. The most popular method is using of digital and analog techniques simultaneously - transmitting measurements from the field at 4∼20mA while modulating the current to carry digital information in both directions over the same twisted pairs. Conventional smart transmitters use the frequency shift keying (FSK) method for digital communication. Generally, however, the FSK method has the speed limit at 1200 bps. Amount of information to transmit becomes increasing as the processing technique is improved. The PSK method is noticeable alternative for high speed digital communication, but it has non-zero DC component. In order to use the PSK method in the field transmission with smart transmitter, the method to remove the DC component is studied in this work.

• Journal of Information Technology Services
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• v.21 no.5
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• pp.65-79
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• 2022

The smart factory has spread to small and mid-size enterprises (SMEs) under the leadership of the government. Smart factory consists of a work area, an operation management area, and an industrial control system (ICS) area. However, each site is combined with the IT system for reasons such as the convenience of work. As a result, various breaches could occur due to the weakness of the IT system. This study seeks to discover the items and vulnerabilities that SMEs who have difficulties in information security due to technology limitations, human resources, and budget should first diagnose and check. First, to compare the existing domestic and foreign smart factory vulnerability classification systems and improve the current classification system, the latest smart factory vulnerability information is collected from NVD, CISA, and OWASP. Then, significant keywords are extracted from pre-processing, co-occurrence network analysis is performed, and the relationship between each keyword and vulnerability is discovered. Finally, the improvement points of the classification system are derived by mapping it to the existing classification system. Therefore, configuration and maintenance, communication and network, and software development were the items to be diagnosed and checked first, and vulnerabilities were denial of service (DoS), lack of integrity checking for communications, inadequate authentication, privileges, and access control in software in descending order of importance.

• Journal of Digital Convergence
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• v.13 no.4
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• pp.101-114
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• 2015

The purpose of this study is first to understand agent's turnover from both academic and perspectives. Then we suggest convergence of smart work paradigm and supervisor's support as the relieving factors of turnover, The research model of this study is based upon reviews of turnover literature, the smart work and supervisor's support as moderating variables from which research hypotheses were derived. The data came from the survey from financial sector agents such as banking, insurance, and others. The analyses has been done by SPSS 20.0, We used multiple regressions to test the effects of the tested variables on the dependent variable, job satisfaction. The results of this study find significant relations of smart work and supervisor's supports in relations to personal and job-related turnover. The implication is smart work and supervisor's supports play significant role in increasing job satisfactions. Major finding is too much supervisor's supports ignoring agent's situations may bring reverse effects on relieving turnover.

• Journal of Information Technology Applications and Management
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• v.22 no.2
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• pp.71-93
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• 2015

Due to the rapid development of information communication technology, employees have conducted their tasks with smart devices such as smartphones and tablet PCs in the midst of after work hours. In line with this phenomenon, we have examined the relationships among technostress, work connectivity behavior after hours (WCBA) and technostress inhibitors and job satisfaction. Based on the results of prior research, we developed and tested our research model which posits the certain factors such as technostress, WCBA and technostress inhibitors affect work-life conflicts which, in turn influence employees' job satisfaction. Survey data collected from 345 users who have experiences on using smart devices was used to test the model using PLS (partial least squares). In this study, we found that technostress and WCBA were positively related to the work-life conflicts. We also found that the relationship between technostress inhibitors and job satisfaction was significant. The implications of these findings for both research and practice are discussed.

• Journal of Drive and Control
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• v.19 no.2
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• pp.11-16
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• 2022

It is important to measure the excavator's work productivity that estimates the bucket's payloads on a process. If the bucket isn't filled at every working cycle, the excavator's operator has to drive the machine more to achieve his work quota. If bucket is filled over with the load, the other way around, the transferred object has to spread out on the workplace. That causes additional work to clean the site. This paper proposes a method that can estimate the bucket's payload to improve the excavator's work productivity. This method assumes that the excavator is a lumped mass system. And it uses a 3 points angle (boom link, arm link, swing) and 2 points pressure (boom cylinder's input port and output port) of measurable data. Depending on assumptions, the bucket's payload can be calculated by the payload's motion equation. And this suggested method can be verified by simple experiments.

• Journal of the Korean Society of Safety
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• v.36 no.4
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• pp.54-61
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• 2021

The purpose of this paper is to verify if safety managers must bear stress from additional tasks whenmanaging smart safety technology applications on construction sites. We conducted a survey of 133 safety managers who had experienced managing both safety management and smart safety technology applications at construction sites, and used the SPSS Statistics 25 and AMOS 22 programs to analyze the survey's logicality and the data that we collected. We found that the work burden caused by assuming additional tasks to manage smart safety technology applications affected the stress that safety managers experience when working at construction sites. The stress caused by an increased work burden led construction site safety managers to feel dissatisfied with their jobs. This finding indicates that both on the original job and on additional tasks are entirely mediated. Based on this finding, I suggest that the South Korean government should establish smart safety technology applications, thus reducing the work burden and increasing the job satisfaction for construction site safety managers.

• International journal of advanced smart convergence
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• v.9 no.3
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• pp.246-252
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• 2020

Facial recognition is a biometric technology that is used in various fields such as user authentication and identification of human characteristics. Face recognition applications are practically used in various fields, but very few applications have been developed to improve the factory work environment. We implemented applications that uses face recognition to identify a specific employee in a factory .work environment and provide customized information for each employee. Factory workers need documents describing the work in order to do their assigned work. Factory managers can use our application to register documents needed for each worker, and workers can view the documents assigned to them. Each worker is identified using face recognition, and by tracking the worker's face during work, it is possible to know that the worker is in the workplace. In addition, as a mobile app for workers is provided, workers can view the contents using a tablet, and we have defined a simple communication protocol to exchange information between our applications. We demonstrated the applications in a factory work environment and found several improvements were required for practical use. We expect these results can be used to improve factory work environments.

• Journal of Smart Tourism
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• v.3 no.1
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• pp.35-39
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• 2023

This research note probes the largely ignored sphere of smart tourism curriculum as destinations and institutions seek to develop graduates ready to embrace the demands and challenges of future work environments where technology has a ubiquitous presence. This knowledge gap is somewhat surprising, even as destinations progress towards smart tourism futures, without necessarily clarifying what human resources need to possess in the coming decades. Drawing from available smart tourism curriculum across the globe, and emergent trends associated with Generation Alpha and Beta, this research note paints a timely picture of how smart tourism curriculum should be designed and developed to meet the needs of industry and consumer demands and expectations.

• International journal of advanced smart convergence
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• v.13 no.2
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• pp.265-275
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• 2024

Smart factory is a remarkable development from traditional manufacturing systems to data-based smart manufacturing systems that can connect and process data continuously, collected from machines, production equipment to production and business processes, capable of supporting workers in making decisions or performing work automatically. Smart factory is the key and center of the fourth industrial revolution, combining improvements in traditional manufacturing activities with digital technology to help factories achieve greater efficiency, contributing to increased revenue and reduce operating costs for businesses. Besides, the importance of smart factories is to make production more quality, efficient, competitive and sustainable. Businesses in Vietnam are in the process of learning and applying smart factory models. However, the number of businesses applying the pine factory model is still limited due to many barriers and difficulties. Therefore, in this paper we conduct a survey to assess the needs and current situation of businesses in applying smart factories and propose some specific solutions to develop and promote application of smart factory model in Vietnamese businesses.