• IEMEK Journal of Embedded Systems and Applications
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• v.17 no.2
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• pp.93-100
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• 2022

In this paper, we propose a machine learning-based method for supporting resource management of IoT software platforms in a multi-modal sensing scenario. We assume that an IoT device installed with a oneM2M-compatible software platform is connected with various sensors such as PIR, sound, dust, ambient light, ultrasonic, accelerometer, through different embedded system interfaces such as general purpose input output (GPIO), I2C, SPI, USB. Based on a collected dataset including CPU usage and user-defined priority, a machine learning model is trained to estimate the level of nice value required to adjust according to the resource usage patterns. The proposed method is validated by comparing with a rule-based control strategy, showing its practical capability in a multi-modal sensing scenario of IoT devices.

• International journal of advanced smart convergence
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• v.11 no.2
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• pp.142-152
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• 2022

We study confirmed the relationship between the adversity index, entrepreneurial orientation, and organizational learning competency perceived by organizational members as follows. First, the adversity index showed a positive (+) effect on entrepreneurial orientation (hypothesis 1) and organizational learning competency (hypothesis 2). Second, the entrepreneurial orientation was statistically significant in organizational learning competency (hypothesis 3). Third, the partial mediating role of entrepreneurial orientation (Hypothesis 4) was confirmed in the process of the adversity index affecting organizational learning competency. Meanwhile, the main implications of this study are as follows. First, it is the aspect that provides additional theoretical implications in the reality that studies on the adversity index and entrepreneurial orientation that affect organizational learning competency are lacking. Second, it is the aspect that the importance of adversity index and start-up orientation was confirmed in improving organizational learning competency based on securing differentiated competitiveness for the advancement of the organization's sustainability management system. In addition, it is the aspect of drawing practical implications for strategic human resource management and human resource development to systematically improve it.

• Journal of Korea Society of Digital Industry and Information Management
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• v.19 no.3
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• pp.77-88
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• 2023

This study focuses on hotel kiosks that have begun to be introduced in earnest in mid-priced hotels, and the quality attributes of hotel kiosks, which are expected to be introduced throughout the hotel industry in the future, and validates them using a revised IPA(Importance-Performance Analysis). An online survey was conducted targeting hotel users who had used hotel kiosk devices, and difference analysis and IPA analysis were conducted on 239 people, excluding 61 who responded insincerely. As a result of the verification, there was no significant difference in hotel kiosk quality attributes by age, but there was no significant difference by age. It was found that there was a significant difference. As a result of analyzing the difference between importance and satisfaction, it was found that there was a partially significant difference. These results suggest standards for quality attributes in hotel kiosks and provide academic implications for future research and practical implications for hotel management practitioners.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.354-360
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• 2009

The demands for large-scale construction projects such as Mega-projects are largely increasing due to the rapid growth of increasing populations as well as the need to replace existing buildings and infrastructure. Increasing costs of materials, supplies, and labors require the first cost estimates at the preliminary planning stage to be as accurate as possible. This paper presents the results obtained from the survey on evaluating nine critical success factors that influence the accurate first cost estimates for large-scale projects from practical experiences. It then examines the current cost structures of construction companies for large-scale projects, followed by the causes for cost and schedule overrun. Twenty completed surveys were collected and the Analytic Hierarchy Process was applied to analyze the data. The results indicate that technology issues, the contract type, and social and environmental impacts are the significant leading factors for accurate first cost estimates of large-scale construction projects.

• International conference on construction engineering and project management
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• 2005.10a
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• pp.1256-1261
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• 2005

The Professional Engineers Act (PE Act) of Korea reduces the competitiveness of PE, because of the lack of articles regarding guarantee of business scope and regarding continuous education. In foreign countries, after one passes the PE exam, he/she should register at the concerned government agency; in this way, a practical and systematic continuous professional development (CPD), along with management of work experience of PE, is carried out. In this thesis, the Professional Engineers Acts of different countries have been compared and analyzed in order to consolidate international competitiveness of Korean professional engineers. Also, the author of this thesis presented measures to solve the problems of the Korean PE Act.

• International conference on construction engineering and project management
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• 2005.10a
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• pp.491-496
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• 2005

In this paper, the authors explained the overview of a method for detecting location of worker for development of a monitoring system for project progress management using RFID technology. Data is the RSSI (Receive Signal Strength Indication) from RFID tag attached to the worker installing a rolling shutter, and was obtained from antennas and RFID readers set around the construction site. Neural network was done using RSSI collected and the area where worker is performing a task, and an estimation model of the working area was prepared. The network had a range of the percentage of correctly classified from 62% to 92%. The authors suggested the method to make estimate by using integrated networks prepared in respect of RFID readers, and showed the percentage of correctly classified of 84.3%. According to the result, the authors confirmed the possibility of the monitoring system with RFID technology, and mentioned the factors necessary to develop for further practical use.

• International conference on construction engineering and project management
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• 2005.10a
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• pp.881-885
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• 2005

Scheduling repetitive projects under limitations on the amounts of available resources (labor and equipment) has been an active subject because of its practical relevance. Traditionally, the limitation is specified as a deterministic (fixed) number, such as 1000 labor-hours. The limitation, however, is often exposed to uncertainty and variability, especially when the project is lengthy. This paper presents a stochastic optimization model to treat the situations where the limitations of resources are expressed as probability functions in lieu of deterministic numbers. The proposed model transfers each deterministic resource constraint into a corresponding stochastic one and then solves the problem by the use of a chance-constrained programming technique. The solution is validated by comparison with simulation results to show that it can satisfy the resource constraints with a probability beyond the desired confidence level.

• Korea Journal of Hospital Management
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• v.27 no.4
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• pp.1-12
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• 2022

Purposes: This study is comparative analysis of the job satisfaction by enneagram personality types of general hospital workers. Methodology: The data were collected from 312 workers of 3 general hospitals using standardized questionnaires. Personality types were examined using the enneagram, and job satisfaction was analyzed according to personality 9 types. Findings: In all personality types, it was found that communication had the most important influence on job satisfaction. In 1 type, reward system, working environment·welfare, and communication had a significant positive(+) effect on job satisfaction. In 7, 9 types, empowerment and communication had a significant positive influence on job satisfaction. Practical Implications: According to the personality type of the hospital workers, job satisfaction factors were found to be different. These results are expected to be important reference materials for human resources management in hospitals.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.276-279
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• 2015

Along with the increase of the quantity of data in various industries, the construction industry has also developed various systems focusing on collecting data related to the construction performance such as productivity and costs achieved in construction job sites. Numerous researchers worldwide have been focusing on developing efficient methodologies to analyze such data. However, applications of such methodologies have shown serious limitations on practical applications due to lack of data and difficulty in finding appropriate analytic methodologies which were capable of implementing significant insights. With development of information technology, the new trend in analytic methodologies has been introduced and steeply developed with the new name of "big data analysis" in various fields in academia and industry. The new concept of big data can be applied for significant analysis on various formats of construction data such as structured, semi-structured, or non-structured formats. This study investigates preliminary application methods based on data collected from actual construction site. This preliminary investigation in this study expects to assess fundamental feasibility of big data analytic applications in construction.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.37-38
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• 2015

A number of documents containing important and useful knowledge have been generated over time in the construction industry. Such text-based knowledge plays an important role in the construction industry for decision-making and business strategy development by being used as best practice for upcoming projects, delivering lessons learned for better risk management and project control. Thus, practical and usable knowledge creation from construction documents is necessary to improve business efficiency. This study proposes a knowledge creating system from construction documents using text mining and the design comprises three main steps - text mining preprocessing, weight calculation of each term, and visualization. A system prototype was developed as a pilot study of the system design. This study is significant because it validates a knowledge creating system design based on text mining and visualization functionality through the developed system prototype. Automated visualization was found to significantly reduce unnecessary time consumption and energy for processing existing data and reading a range of documents to get to their core, and helped the system to provide an insight into the construction industry.