• The Journal of the Convergence on Culture Technology
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• v.9 no.4
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• pp.309-314
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• 2023

This study examines the development and limitations of current artificial intelligence (AI) music composition programs. AI music composition programs have progressed significantly owing to deep learning technology. However, they possess limitations pertaining to the creative aspects of music. In this study, we collect, compare, and analyze information on existing AI-based music composition programs and explore their technical orientation, musical concept, and drawbacks to delineate future directions for AI music composition programs. Furthermore, this study emphasizes the importance of developing AI music composition programs that create "personalized" music, aligning with the era of personalization. Ultimately, for AI-based composition programs, it is critical to extensively research how music, as an output, can touch the listeners and implement appropriate changes. By doing so, AI-based music composition programs are expected to form a new structure in and advance the music industry.

• Convergence Security Journal
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• v.22 no.1
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• pp.99-111
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• 2022

With current battlefield environment relying heavily on Network Centric Warfare(NCW), existing weaponary systems are evolving into a new concept that converges IT technology. Majority of the weaponary systems are implemented with numerous embedded softwares which makes such softwares a key factor influencing the performance of such systems. Furthermore, due to the advancements in both IoT technoogies and embedded softwares cyber threats are targeting various embedded systems as their scope of application expands in the real world. Weaponary systems have been developed in various forms from single systems to interlocking networks. hence, system level cyber security is more favorable compared to application level cyber security. In this paper, a secure real-time operating system has been designed, implemented and measured to protect embedded softwares used in weaponary systems from unknown cyber threats at the operating system level.

• The Journal of the Convergence on Culture Technology
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• v.9 no.2
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• pp.295-299
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• 2023

In Korea, the birth rate is rapidly decreasing in the 21st century. Accordingly, if the current military service and personnel system are maintained, it will be difficult to maintain even the number of the Army reduced to 365,000. Nevertheless, the Army has a mission to protect the country from external aggression as the last bastion of national defense. To fulfill this mission, there are ways to improve the military service and personnel system, but there are ways to maximize individual combat power to create one warrior that is worth a hundred and overcome the insufficient number of troops through superior mobility to the enemy. This study studied how to solve the shortage of troops as well as strengthen combat power through a combined combat system that can maximize individual combat power and mobility by applying the latter concept, and further analyzed the future battle environment and suggested the developmental direction of the army's combined combat system.

• Analytical Science and Technology
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• v.21 no.5
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• pp.345-363
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• 2008

Process analytics has been already widely utilized in a large-scale continuous production line such as petroleum industries for several decades. Although the process analytics has a long history, a concept of "Process Analytical Technology (PAT)" has been rapidly adopted as a new paradigm for the process monitoring in the production process of various industries. In this review, current status and recent developments of PAT in various research bodies have been introduced, including the introduction of various types of analytical instruments, chemometrics tools, and perspectives and future applications of PAT as well as the fundamentals on PAT such as terminology and its historical background.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.29 no.1D
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• pp.81-89
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• 2009

CM(Configuration Management) is a field of management that focuses on establishing and maintaining consistency of a product's performance and its functional and physical attributes with its requirements, design, and operational information throughout its life. Recently upcoming concept of CM, regardless of various definitions, consists of the organization and the process for value creation through project change management, value preservation by Risk, Project Management implementation by Change management. The CM provide a basis for, and a record of, the project's performance in meeting the scope, time, cost. Overseas international companies have already adopted the CM system and enjoyed the benefits arising from such systems. And the CM provides perspectives and insights applicable to all types of projects. This study presents the review on the current systems now in use at jobsites and known to be efficient, and the introduction and application of configuration systems now at big issue. Hereby indicates the connective system consisted of work process, change control and knowledge referring to the methods and actual cases as an effective promotion of CM.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.476-477
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• 2022

This study deals with rotation, which is one of the expression methods of motion used in the 3D development environment. Euler angle is a rotation method introduced by Leonhard Euler to display objects in three-dimensional space. Although three angles can handle all rotations in a three dimensional coordinate space, there are serious errors in this approach. If you rotate an object with Euler angles, you will face the problem of gimbal locks that cannot rotate under certain circumstances. In contrast to this, the method to rotate an object without a gimbal lock is the quaternion rotation with quaternion. Rather than a detailed mathematical proof of quaternion, it introduces what concept is used in the current 3D development environment, and applies it to camera rotation control to implement a rotating camera without a gimbal lock.

• International conference on construction engineering and project management
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• 2020.12a
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• pp.87-95
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• 2020

Generally, occupational safety and particularly construction safety is an intricate phenomenon. Industry professionals have devoted vital attention to enforcing Occupational Safety and Health (OHS) from the last three decades to enhance safety management in construction. Despite the efforts of the safety professionals and government agencies, current safety management still relies on manual inspections which are infrequent, time-consuming and prone to error. Extensive research has been carried out to deal with high fatality rates confronting by the construction industry. Sensor systems, visualization-based technologies, and tracking techniques have been deployed by researchers in the last decade. Recently in the construction industry, computer vision has attracted significant attention worldwide. However, the literature revealed the narrow scope of the computer vision technology for safety management, hence, broad scope research for safety monitoring is desired to attain a complete automatic job site monitoring. With this regard, the development of a broader scope computer vision-based risk recognition system for correlation detection between the construction entities is inevitable. For this purpose, a detailed analysis has been conducted and related rules which depict the correlations (positive and negative) between the construction entities were extracted. Deep learning supported Mask R-CNN algorithm is applied to train the model. As proof of concept, a prototype is developed based on real scenarios. The proposed approach is expected to enhance the effectiveness of safety inspection and reduce the encountered burden on safety managers. It is anticipated that this approach may enable a reduction in injuries and fatalities by implementing the exact relevant safety rules and will contribute to enhance the overall safety management and monitoring performance.

• Asia Marketing Journal
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• v.14 no.3
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• pp.185-197
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• 2012

Caffe Bene, one of the most notable coffeehouse chain brands in Republic of Korea, gives us some thought-provoking issues in terms of sustainable success. Despite harsh competition among various coffeehouse brands, Caffe Bene has been accomplished astonishing outcomes in domestic market and now ranked 2^nd place in sales among the global coffeehouse franchise in 2010 and 2011. These achievements were possible mainly because Caffe Bene adopted distinctive shop design, maintained aggressive marketing strategy, developed new menu, and combined the unique Korean culture with ordinary concept of café to make its place attractive. However, since Korean coffeehouse market is getting saturated and consumers are becoming savvy about coffee, Caffe Bene needs to find a new solution to overcome growth stagnation. Besides, many experts pointed out that irrational increase in the number of stores might hurt its business in the aspect of managing distribution channel and providing consistent services. Also, customers of Caffe Bene have shown that it has to complement its critical weaknesses: inferior coffee taste and relatively high price for a cup of coffee. Especially, some people view that the company is shifting its high rental fee, interior cost and PPL marketing cost to consumers by charging high price for coffee. To get over the problems, Caffe Bene is currently using C/S Consumer Management System though experts are questioning about the efficacy because of the conflict between purpose of the system and the headquarters' plan. Present CEO Kim also announced that the company will complete its logistics system in the latter half of 2012 to provide stores with more high quality coffee beans to improve taste of coffee. Thus, in this case, we describe how Caffe Bene succeeded in Korean market and enumerate its key success factors. Also, we specify the long-term goals of Caffe Bene and introduce the current policies and strategies to show how the company is working on to achieve its ultimate goal. By reading and analyzing this business case, students could get useful insights regarding franchise management and think about issues on competing in a saturated market. Also, it would be worthwhile to generate creative solutions for the problems that Caffe Bene is now facing to broaden the practical perspective.

• International conference on construction engineering and project management
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• 2020.12a
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• pp.463-481
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• 2020

Cutter suction dredgers (CSDs) are widely used in various dredging constructions such as channel excavation, wharf construction, and reef construction. During a CSD construction, the main operation is to control the swing speed of cutter to keep the slurry concentration in a proper range. However, the slurry concentration cannot be monitored in real-time, i.e., there is a "time-lag effect" in the log of slurry concentration, making it difficult for operators to make the optimal decision on controlling. Concerning this issue, a solution scheme that using real-time monitored indicators to predict current slurry concentration is proposed in this research. The characteristics of the CSD monitoring data are first studied, and a set of preprocessing methods are presented. Then we put forward the concept of "index class" to select the important indices. Finally, an ensemble learning algorithm is set up to fit the relationship between the slurry concentration and the indices of the index classes. In the experiment, log data over seven days of a practical dredging construction is collected. For comparison, the Deep Neural Network (DNN), Long Short Time Memory (LSTM), Support Vector Machine (SVM), Random Forest (RF), Gradient Boosting Decision Tree (GBDT), and the Bayesian Ridge algorithm are tried. The results show that our method has the best performance with an R² of 0.886 and a mean square error (MSE) of 5.538. This research provides an effective way for real-time predicting the slurry concentration of CSDs and can help to improve the stationarity and production efficiency of dredging construction.

• Korean Journal of Culture and Social Issue
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• v.22 no.2
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• pp.165-182
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• 2016

Happiness research has primarily been conducted based on the American model of happiness. The agentic concept of happiness in the West emphasizes the positive feeling state stemming from individual achievement and positive interpersonal relationships. However, previous studies on lay theories of happiness in other East Asian countries, such as China and Japan, have suggested that these meanings of happiness differ from those of the Western cultural context. The present study examined the lay theory of happiness among Koreans using qualitative and quantitative approaches. Furthermore, the authors compared the Korean model of happiness with that of the Japanese and Americans from Uchida and Kitayama (2009). The findings from the present research indicate that the Korean model of happiness involves both positive and negative states and consequences of happiness, unlike the uniformly positively connoted happiness in Western cultural contexts. The paper concludes with a discussion of the implications of the current findings on happiness research in the Korean culture.