• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.7
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• pp.699-707
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• 2020

With the development of deep learning technology, voice processing-related technology is applied to various areas, such as STT (Speech To Text), TTS (Text To Speech), ChatBOT, and intelligent personal assistant. In particular, the STT is a voice-based, relevant service that changes human languages to text, so it can be applied to various IT related services. Recently, many places, such as general private enterprises and public institutions, are attempting to introduce the relevant technology. On the other hand, in contrast to the general IT solution that can be evaluated quantitatively, the standard and methods of evaluating the accuracy of the STT engine are ambiguous, and they do not consider the characteristics of the Korean language. Therefore, it is difficult to apply the quantitative evaluation standard. This study aims to provide a guide to an evaluation of the STT engine conversion performance based on the characteristics of the Korean language, so that engine manufacturers can perform the STT conversion based on the characteristics of the Korean language, while the market could perform a more accurate evaluation. In the experiment, a 35% more accurate evaluation could be performed compared to the existing methods.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.8 no.2
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• pp.286-296
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• 2007

In this paper, we have proposed on the Matching Table of 'Type of If Business - Class of IT Techniques' to train If manpower as an educational-industrial cooperation. The Type of If Business(TITB) are classified according to ${\triangle}$IT Services, ${\triangle}$IT Devices, and ${\triangle}$Software & Computer related Services which are guided by KAIT(Korea Association of Information & Telecommunication). The Class of IT Techniques(CITT) are brought from IITA(Institute for Information Technology Advancement). We have suggested on the element techniques from the Class of If Techniques(CITT) according to the Type of IT Business(TITB) and proposed an educational-industrial cooperation program to line up 'Type of IT Business(TITB) - Class of IT Techniques(CITT) - University(Department/Major)'. The deduction process of the core education program is presented to show the educational-industrial cooperation between company(Type of IT Business : Digital Contents Development Service) and university(Major of Multimedia & Contents) in the Busan area. The Matching Table of 'Type of IT Business(TITB) - Class of IT Techniques(CITT)' varies as the way of classification according to IT Business and IT Techniques. The research on the real and exact Matching Table of 'Type of IT Business(TITB) - Class of IT Techniques(CITT)' is necessary for educational-industrial cooperation by the trends of techniques and the changes of IT market share.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.11
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• pp.208-213
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• 2016

In the fourth industrial revolution, customization is becoming a conversation topic in various domains. Industry 4.0 applies cyber-physical systems (CPS), the Internet of Things (IoT), and cloud computing to manufacturing businesses. One of the main phrases in Industry 4.0 is mass customization. Optimized products or services are developed and provided through customization. Therefore, the competitiveness of a product can be enhanced, and satisfaction is improved. In particular, as IoT technology spreads, customization is an essential aspect of smooth service connections between various devices or things. Customized services in mobile applications are assembled and operate in various mobile devices in the mobile environment. Therefore, this paper proposes a method for improving customized cloud server-based mobile architectures, processes, and metrics, and for measuring the performance improvement of the customized architectures operating in various mobile devices based on the Android or IOS platforms. We reduce the total time required for customization in half as a result of applying the proposed customized architectures, processes, and metrics in various devices.

• KIPS Transactions on Software and Data Engineering
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• v.5 no.4
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• pp.171-180
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• 2016

As social networking services such as twitter become increasingly popular, data streams are widely prevalent these days. In order to search data accumulated from data streams efficiently, the use of an index structure is essential. In this paper, we propose an update-efficient, disk-based inverted index structure for efficient keyword search on data streams. When new data arrive at the data stream, the index needs to be updated to incorporate the new data. The traditional inverted index is very inefficient to update in terms of disk I/O, because all index data stored in the disk need to be read and written to the disk each time the index is updated. To solve this problem, we divide the whole inverted index into a sequence of inverted indices with exponentially increasing size. When new data arrives, it is first inserted into the smallest index and, later, the small indices are merged with the larger indices, which leads to a small amortize update cost for each new data. Furthermore, when indices stored in the disk are merged with each other, we minimize the disk I/O cost incurred for the merge operation, resulting in an even smaller update cost. Through various experiments, we compare the update efficiency of the proposed index structure with the previous one, and show the performance advantage of the proposed structure in terms of the update cost.

• Journal of the Korean Dietetic Association
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• v.13 no.2
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• pp.183-193
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• 2007

School foodservice employees are involved with every aspect of ensuring that high quality meals are prepared and they influence student satisfaction. The objective of this study was to identify whether job satisfaction of cooks is affected by their relationships with management. Survey forms that were developed for foodservice dietitians and employees were interviewed. Questionnaires to measure job satisfaction were distributed to 30 schools in the Gyeonggi province and completed by 30 dietitians and 323 cooks. Foodservice cooks' job satisfaction was evaluated by measuring attitudes towards aspects of their job using the modified Smith method(1969). All items in the scales were coded by 4 Likert scale(1: nerver satisfied, 4: very satisfied), then grouped by using factor analyses. Statistical methods used in this study were a $x^2$-test, t-test with SPSS software(version 12.0). The study results were as follows; 1) The demographic data showed that 65.3% of respondents were in their 40s, 96% were married, 68.8% were high school graduates, and 93.5% were contracted employees. Regarding overall experience in their current workplace, 27.9% had been in their position over 5 years and 25.7% said less than 2 years. 2) Most of the school lunches was served in the classroom(73.3%). The cook working was rotated among the employees(90%). Most employees did not use a day's leave of absence per month because they were averse to burdening their coworkers. 3) There were no significant differences in job satisfaction between the cooks' self-evaluation scores(2.92) and those of the dietitians(2.92). Among the factors influencing job satisfaction, dietitians(2.10) perceived that cooks(1.99) were more satisfied with their salaries than was actually the case. The cooks(3.19) rated their level of work satisfaction higher than the dietitians(3.03) perceived it to be. Employees rated their relationship satisfaction as 3.50, but dietitians on the other hand rated it 3.37. Most of the cook respondents want a higher salary and a some kind of employment guarantee. This study provides foodservice managers information useful for design positions that will increase productivity. Future study is needed to determine the factors that will improve job satisfaction and satisfy the employees' needs, which in turn will improve school food service quality.

• International Journal of High-Rise Buildings
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• v.1 no.1
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• pp.37-51
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• 2012

New generation of tall and complex buildings systems are now introduced that are reflective of the latest development in materials, design, sustainability, construction, and IT technologies. While the complexity in design is being overcome by the availability and advances in structural analysis tools and readily advanced software, the design of these buildings are still reliant on minimum code requirements that yet to be validated in full scale. The involvement of the author in the design and construction planning of Burj Khalifa since its inception until its completion prompted the author to conceptually develop an extensive survey and real-time structural health monitoring program to validate all the fundamental assumptions mad for the design and construction planning of the tower. The Burj Khalifa Project is the tallest structure ever built by man; the tower is 828 meters tall and comprises of 162 floors above grade and 3 basement levels. Early integration of aerodynamic shaping and wind engineering played a major role in the architectural massing and design of this multi-use tower, where mitigating and taming the dynamic wind effects was one of the most important design criteria established at the onset of the project design. Understanding the structural and foundation system behaviors of the tower are the key fundamental drivers for the development and execution of a state-of-the-art survey and structural health monitoring (SHM) programs. Therefore, the focus of this paper is to discuss the execution of the survey and real-time structural health monitoring programs to confirm the structural behavioral response of the tower during construction stage and during its service life; the monitoring programs included 1) monitoring the tower's foundation system, 2) monitoring the foundation settlement, 3) measuring the strains of the tower vertical elements, 4) measuring the wall and column vertical shortening due to elastic, shrinkage and creep effects, 5) measuring the lateral displacement of the tower under its own gravity loads (including asymmetrical effects) resulting from immediate elastic and long term creep effects, 6) measuring the building lateral movements and dynamic characteristic in real time during construction, 7) measuring the building displacements, accelerations, dynamic characteristics, and structural behavior in real time under building permanent conditions, 8) and monitoring the Pinnacle dynamic behavior and fatigue characteristics. This extensive SHM program has resulted in extensive insight into the structural response of the tower, allowed control the construction process, allowed for the evaluation of the structural response in effective and immediate manner and it allowed for immediate correlation between the measured and the predicted behavior. The survey and SHM programs developed for Burj Khalifa will with no doubt pioneer the use of new survey techniques and the execution of new SHM program concepts as part of the fundamental design of building structures. Moreover, this survey and SHM programs will be benchmarked as a model for the development of future generation of SHM programs for all critical and essential facilities, however, but with much improved devices and technologies, which are now being considered by the author for another tall and complex building development, that is presently under construction.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.17 no.4
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• pp.49-59
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• 2017

Smart sensing plays a key role in a variety of IoT applications, and its importance is growing more and more together with the development of artificial intelligence. Therefore the importance of smart sensors cannot be overemphasized. However, most studies related to smart sensors have been focusing on specific application purposes, for example, security, energy saving, monitoring, and there are not much effort on researches on how to efficiently configure various types of smart sensors to be needed in the future. In this paper, a component-based framework with hierarchical structure for efficient construction of smart sensor is proposed and its application to smart home is designed and implemented. The proposed method shows that various types of smart sensors to be appeared in the near future can be configured through the design and development of necessary components within the proposed software framework. In addition, since it has a layered architecture, the configuration of the smart sensor can be expanded by inserting the internal or external layers. In particular, it is possible to independently design the internal and external modules when designing an IoT application service through connection with the external device layer. A small-scale smart home system is designed and implemented using the proposed method, and a home cloud operating as an external layer, is further designed to accommodate and manage multiple smart homes. By developing and thus adding the components of each layer, it will be possible to efficiently extend the range of applications such as smart cars, smart buildings, smart factories an so on.

• Spatial Information Research
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• v.21 no.5
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• pp.43-51
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• 2013

In this study, the concept of spatial big data and effective ways to build a spatial big data system are presented. Big Data is defined as 3V(volume, variety, velocity). Spatial big data is the basis for evolution from 3V's big data to 6V's big data(volume, variety, velocity, value, veracity, visualization). In order to build an effective spatial big data, spatial big data system building should be promoted. In addition, spatial big data system should be performed a national spatial information base, convergence platform, service providers, and providers as a factor of production. The spatial big data system is made up of infrastructure(hardware), technology (software), spatial big data(data), human resources, law etc. The goals for the spatial big data system build are spatial-based policy support, spatial big data platform based industries enable, spatial big data fusion-based composition, spatial active in social issues. Strategies for achieving the objectives are build the government-wide cooperation, new industry creation and activation, and spatial big data platform built, technologies competitiveness of spatial big data.

• Review of Korean Society for Internet Information
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• v.14 no.3
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• pp.78-85
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• 2013

The revelations made possible by Edward Snowden, a contractor of the US intelligence service NSA, are a sobering reminder that the Internet is not an 'anonymous' means of communication. In fact, the Internet has never been conceived with anonymity in mind. If anything, the Internet and networking technologies provide far more detailed and traceable information about where, when, with whom we communicate. The content of the communication can also be made available to third parties who obtain encryption keys or have the means of exploiting vulnerabilities (either by design or by oversight) of encryption software. Irrebuttable evidence has emerged that the US and the UK intelligence services have had an indiscriminate access to the meta-data of communications and, in some cases, the content of the communications in the name of security and protection of the public. The conventional means of judicial scrutiny of such an access turned out to be ineffectual. The most alarming attitude of the public and some politicians is "If you have nothing to hide, you need not be concerned." Where individuals have nothing to hide, intelligence services have no business in the first place to have a peek. If the public espouses the groundless assumption that State organs are benevolent "( they will have a look only to find out whether there are probable grounds to form a reasonable suspicion"), then the achievements of several hundred years of struggle to have the constitutional guarantees against invasion into privacy and liberty will quickly evaporate. This is an opportune moment to review some of the basic points about the protection of privacy and freedom of individuals. First, if one should hold a view that security can override liberty, one is most likely to lose both liberty and security. Civilized societies have developed the rule of law as the least damaging and most practicable arrangement to strike a balance between security and liberty. Whether we wish to give up the rule of law in the name of security requires a thorough scrutiny and an informed decision of the body politic. It is not a decision which can secretly be made in a closed chamber. Second, protection of privacy has always depended on human being's compliance with the rules rather than technical guarantees or robustness of technical means. It is easy to tear apart an envelope and have a look inside. It was, and still is, the normative prohibition (and our compliance) which provided us with protection of privacy. The same applies to electronic communications. With sufficient resources, surreptitiously undermining technical means of protecting privacy (such as encryption) is certainly 'possible'. But that does not mean that it is permissible. Third, although the Internet is clearly not an 'anonymous' means of communication, many users have a 'false sense of anonymity' which make them more vulnerable to prying eyes. More effort should be made to educate the general public about the technical nature of the Internet and encourage them to adopt user behaviour which is mindful of the possibilities of unwanted surveillance. Fourth, the US and the UK intelligence services have demonstrated that an international cooperation is possible and worked well in running the mechanism of massive surveillance and infiltration into data which travels globally. If that is possible, it should equally be possible to put in place a global mechanism of judicial scrutiny over a global attempt at surveillance.

• KIPS Transactions on Software and Data Engineering
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• v.7 no.2
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• pp.43-50
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• 2018

Biometric information computing is greatly influencing both a computing system and Big-data system based on the bio-information system that combines bio-signal sensors and bio-information processing. Unlike conventional data formats such as text, images, and videos, biometric information is represented by text-based values that give meaning to a bio-signal, important event moments are stored in an image format, a complex data format such as a video format is constructed for data prediction and analysis through time series analysis. Such a complex data structure may be separately requested by text, image, video format depending on characteristics of data required by individual biometric information application services, or may request complex data formats simultaneously depending on the situation. Since previous bio-information processing computing systems depend on conventional computing component, computing structure, and data processing method, they have many inefficiencies in terms of data processing performance, transmission capability, storage efficiency, and system safety. In this study, we propose an improved biosensing converged big data computing architecture to build a platform that supports biometric information processing computing effectively. The proposed architecture effectively supports data storage and transmission efficiency, computing performance, and system stability. And, it can lay the foundation for system implementation and biometric information service optimization optimized for future biometric information computing.