• International Journal of High-Rise Buildings
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• v.7 no.3
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• pp.243-253
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• 2018

The construction of rapid developing super high-rise buildings constantly faces great challenges and the innovation of construction equipment is a focus of these challenges. In this paper, three new inventions including the operation platform, tower crane and hoist are put forward around two of the most important issues of super high-rise building construction: vertical transportation and operation environment. Study background, composition of the equipment, working principles and key technologies are introduced in sequence. In the end, the paper summarizes the main problems in the further development of construction equipment.

• The Journal of Information Technology
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• v.5 no.2
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• pp.47-54
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• 2002

OFDM ambient noise and entrain error that this research proposes in IEEE 802.11g, use 256-State 2/3 binary scale Convoulutional 8-PSK Modulations, FEC coding, PBCC and did speed of 12 Mbpses that belong on category of 5 GHzs Band FHSS way so that can be applied in 20 Mbpses DSSS'S generalization that is establishing Pyojunan in current IEEE embodying transmission device model who operate with the equal speed from 2.4 GHzs ISM Band important duty to DSSS way.

• International Journal of High-Rise Buildings
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• v.3 no.4
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• pp.311-323
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• 2014

This paper introduces recent applications of three-dimensional building/construction data modeling (3D) and building information modeling (BIM) to large-scale complex building construction projects in Japan. Recently, BIM has been utilized as a tool in construction process innovation through planning, design, engineering, procurement and construction to establish a front-loading-type design building system. Firstly, the background and introduction processes of 3D and BIM are described to clarify their purposes and scopes of applications. Secondly, 3D and BIM applications for typical large-scale complex building construction projects to improve planning and management efficiency in building construction are presented. Finally, future directions and further research issues with 3D and BIM applications are proposed.

• Journal of Information Technology Applications and Management
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• v.28 no.4
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• pp.45-57
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• 2021

This research explores how the success of smart factory adoption is influenced by firm's dynamic capability. This research describes the underlying processes on how organizations manipulate or adapt organizational elements harmoniously to implement smart factory successfully. Although understanding of these processes is essential to many researchers and practitioners in the field, the information system research literature contains very few examples of this type. The research is conducted in the following sequence: first, the concept of dynamic capability is presented followed by research methodology; and then the analyses of case data are presented followed by discussions and future directions. The results of this research show that the firms with higher dynamic capability adopted smart factory more easily through alignment of various organizational elements.

• Journal of Intelligence and Information Systems
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• v.25 no.1
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• pp.163-177
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• 2019

As smartphones are getting widely used, human activity recognition (HAR) tasks for recognizing personal activities of smartphone users with multimodal data have been actively studied recently. The research area is expanding from the recognition of the simple body movement of an individual user to the recognition of low-level behavior and high-level behavior. However, HAR tasks for recognizing interaction behavior with other people, such as whether the user is accompanying or communicating with someone else, have gotten less attention so far. And previous research for recognizing interaction behavior has usually depended on audio, Bluetooth, and Wi-Fi sensors, which are vulnerable to privacy issues and require much time to collect enough data. Whereas physical sensors including accelerometer, magnetic field and gyroscope sensors are less vulnerable to privacy issues and can collect a large amount of data within a short time. In this paper, a method for detecting accompanying status based on deep learning model by only using multimodal physical sensor data, such as an accelerometer, magnetic field and gyroscope, was proposed. The accompanying status was defined as a redefinition of a part of the user interaction behavior, including whether the user is accompanying with an acquaintance at a close distance and the user is actively communicating with the acquaintance. A framework based on convolutional neural networks (CNN) and long short-term memory (LSTM) recurrent networks for classifying accompanying and conversation was proposed. First, a data preprocessing method which consists of time synchronization of multimodal data from different physical sensors, data normalization and sequence data generation was introduced. We applied the nearest interpolation to synchronize the time of collected data from different sensors. Normalization was performed for each x, y, z axis value of the sensor data, and the sequence data was generated according to the sliding window method. Then, the sequence data became the input for CNN, where feature maps representing local dependencies of the original sequence are extracted. The CNN consisted of 3 convolutional layers and did not have a pooling layer to maintain the temporal information of the sequence data. Next, LSTM recurrent networks received the feature maps, learned long-term dependencies from them and extracted features. The LSTM recurrent networks consisted of two layers, each with 128 cells. Finally, the extracted features were used for classification by softmax classifier. The loss function of the model was cross entropy function and the weights of the model were randomly initialized on a normal distribution with an average of 0 and a standard deviation of 0.1. The model was trained using adaptive moment estimation (ADAM) optimization algorithm and the mini batch size was set to 128. We applied dropout to input values of the LSTM recurrent networks to prevent overfitting. The initial learning rate was set to 0.001, and it decreased exponentially by 0.99 at the end of each epoch training. An Android smartphone application was developed and released to collect data. We collected smartphone data for a total of 18 subjects. Using the data, the model classified accompanying and conversation by 98.74% and 98.83% accuracy each. Both the F1 score and accuracy of the model were higher than the F1 score and accuracy of the majority vote classifier, support vector machine, and deep recurrent neural network. In the future research, we will focus on more rigorous multimodal sensor data synchronization methods that minimize the time stamp differences. In addition, we will further study transfer learning method that enables transfer of trained models tailored to the training data to the evaluation data that follows a different distribution. It is expected that a model capable of exhibiting robust recognition performance against changes in data that is not considered in the model learning stage will be obtained.

• Journal of Technology Innovation
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• v.6 no.1
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• pp.99-127
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• 1998

The purposes of this study are first, to plan communication strategies for promoting the 1st National Science Festival and other events of the April 1997's Science Month in Koreas; second, to monitor communication activities done for those events; third, to evaluate effects of communication activities. Both the Ministry of Science and Technology and the Korea Science Foundation were arranged to execute our planned communication strategies. Basically we utilized the three sequences of human behavioral condition : Exposure, attention, and cognition. For planning, we suggested concrete communication strategies for each sequence, for example, first, those for bringing exposure to every event, second, those for bringing attention to the event, and third, those for bringing cognition of the event. Those communication strategies were suggested to use specifics of newspapers, television programs, radio programs, commercial and corporate magazines, electric visual sign advertisements on the street, and computer communication. For monitoring and evaluation, we used the same three sequences as the criteria. For example, we monitored and evaluated how much exposure, attention or cognition an event got or which specific medium contributed to exposure to, cognition of an event. For monitoring, graduate students were dispatched to examine each event through watching and interviewing. For evaluation, about 950 of event participants and non-participants were surveyed by means of face-to-face interview. Overall, we found that newspaper articles and television programs contributed a lot to people's exposure to events of the April 1997's Science Month. Especially, newspaper played a major role of heightening exposure. However, most events and/or their science and technology content failed to get salient attention and its following active cognition. The 1st National Science Festival attracted much exposure, but had some problems of disorder and commercialism. This sharp increase of exposure and some attention were believed to have reinforced people's, especially event participants' positive opinion of science and technology which is part of scientific culture.

• Membrane Journal
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• v.19 no.1
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• pp.54-62
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• 2009

Pervaporation membrane for butanol separation was prepared by hybrid process. Plasma treatment of commercial poly(dimethylsiloxane) (PDMS) membrane was attempted and combination of plasma treatment and PDMS solution coating on polysulfone, poly(ether imide) supports were also performed. Plasma treatment of PDMS membrane with hexane and silane group compounds was performed to increase the hydrophobicity of the surface, which enhanced the separation factor upto 12.5 at the expense of flux decrease down to $1.15kg/m^2{\cdot}hr$. Contact angle and relative sorption ratio were also related with hydrophobicity of the memrbane. Increase of PDMS prepolymer composition resulted in dense structure of coating layer with better separation factor. Effects of sequence of PDMS coating vs. plasma treatment were examined. It was found that plasma treatment with butanol and n-hexane plasma followed by PDMS coating showed better performance and vice versa for plasma treatment with hexamethyldisilane and hexamethyldisilazane.

• Journal of Korea Technology Innovation Society
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• v.8 no.2
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• pp.650-676
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• 2005

It is important to identify the mid and long-term strategic technologies and evaluate technology level for the establishment of national R&D policy to upgrade technology level in Korea. This paper summarizes the result of technology level evaluation for 99 key technologies of 'National Technology Road Map', which consists of 5 visions, of Korea. The technology level, the technological gap between Korea and world-top country, the role of government to upgrade technology level, etc. were investigated by the survey (total 1,067 respondents) and the interview with experts related to key technologies. The average technology level of Korea was $65.1\%$ of that of world-top country and average technological gap was 5.8 years. The technology level of vision I 'Building an Information-Knowledge-Intelligence Society' was $71.6\%$ and highest among 5 visions. The highest technology level among 99 key technologies was $85.6\%$ for 'Digital Broadcasting Technology' and the lowest was $20\%$ for 'weather Control Technology'. The major reasons of technological gap were investigated as the lack of R&D personnel ($23.8\%$), the shortage of R&D funds ($17.8\%$), and the insufficiency of basic research ($15.4\%$), in sequence. The average technology level of USA was evaluated to highest in the world. It was presented that the technological power of China increased rapidly in the expert interview. The result of technology level evaluation would be primary information for various national S&T planning, such as S&T basic plan, S&T foresight, technology road map, etc.

• Journal of Ginseng Research
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• v.41 no.3
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• pp.326-329
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• 2017

Background: Cultivated ginseng is often introduced as a substitute and adulterant of Russian wild ginseng due to its lower cost or misidentification caused by similarity in appearance with wild ginseng. The aim of this study is to develop a simple and reliable method to differentiate Russian wild ginseng from cultivated ginseng. Methods: The mitochondrial NADH dehydrogenase subunit 7 (nad7) intron 3 regions of Russian wild ginseng and Chinese cultivated ginseng were analyzed. Based on the multiple sequence alignment result, a specific primer for Russian wild ginseng was designed by introducing additional mismatch and allele-specific polymerase chain reaction (PCR) was performed for identification of wild ginseng. Real-time allele-specific PCR with endpoint analysis was used for validation of the developed Russian wild ginseng single nucleotide polymorphism (SNP) marker. Results: An SNP site specific to Russian wild ginseng was exploited by multiple alignments of mitochondrial nad7 intron 3 regions of different ginseng samples. With the SNP-based specific primer, Russian wild ginseng was successfully discriminated from Chinese and Korean cultivated ginseng samples by allele-specific PCR. The reliability and specificity of the SNP marker was validated by checking 20 individuals of Russian wild ginseng samples with real-time allele-specific PCR assay. Conclusion: An effective DNA method for molecular discrimination of Russian wild ginseng from Chinese and Korean cultivated ginseng was developed. The established real-time allele-specific PCR was simple and reliable, and the present method should be a crucial complement of chemical analysis for authentication of Russian wild ginseng.

• International conference on construction engineering and project management
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• 2005.10a
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• pp.1089-1093
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• 2005

Proving the effect of lean construction has yet to be done for its staying poor basic building though there has been efforts and wants to introduce the theory and concept of lean construction in practical site. Therefore, we need to specify the methods of productivity improvement and construction process through various adaptations in the site. Also, to apply such improvement methods systematically, we need active participation of owners, contractors and supply chain members in relation to construction industry and are also require appropriate methods to adapt. At first, this study thinks over the techniques of lean construction that has been verified through studies carried before. For second, it selects the technique of lean construction with the practicality in the construction site. For third, it is aimed to make a manual of lean process management by the use of TACT and V.S.M. For fifth, it will show the method of management for repeated activity and develop a guide-line and procedure that applies the concept of work sequence and resource equalization to each phase of process management. At last, it will show methods of reflecting V.S.M. to improve and grasp the waste factor from the step of managing an activity process and develop the form to analyze the waste in construction site by mapping the value flow.