• Journal of Intelligence and Information Systems
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• v.26 no.2
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• pp.131-145
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• 2020

In line with the trend of industrial innovation, IoT technology utilized in a variety of fields is emerging as a key element in creation of new business models and the provision of user-friendly services through the combination of big data. The accumulated data from devices with the Internet-of-Things (IoT) is being used in many ways to build a convenience-based smart system as it can provide customized intelligent systems through user environment and pattern analysis. Recently, it has been applied to innovation in the public domain and has been using it for smart city and smart transportation, such as solving traffic and crime problems using CCTV. In particular, it is necessary to comprehensively consider the easiness of securing real-time service data and the stability of security when planning underground services or establishing movement amount control information system to enhance citizens' or commuters' convenience in circumstances with the congestion of public transportation such as subways, urban railways, etc. However, previous studies that utilize image data have limitations in reducing the performance of object detection under private issue and abnormal conditions. The IoT device-based sensor data used in this study is free from private issue because it does not require identification for individuals, and can be effectively utilized to build intelligent public services for unspecified people. Especially, sensor data stored by the IoT device need not be identified to an individual, and can be effectively utilized for constructing intelligent public services for many and unspecified people as data free form private issue. We utilize the IoT-based infrared sensor devices for an intelligent pedestrian tracking system in metro service which many people use on a daily basis and temperature data measured by sensors are therein transmitted in real time. The experimental environment for collecting data detected in real time from sensors was established for the equally-spaced midpoints of 4×4 upper parts in the ceiling of subway entrances where the actual movement amount of passengers is high, and it measured the temperature change for objects entering and leaving the detection spots. The measured data have gone through a preprocessing in which the reference values for 16 different areas are set and the difference values between the temperatures in 16 distinct areas and their reference values per unit of time are calculated. This corresponds to the methodology that maximizes movement within the detection area. In addition, the size of the data was increased by 10 times in order to more sensitively reflect the difference in temperature by area. For example, if the temperature data collected from the sensor at a given time were 28.5℃, the data analysis was conducted by changing the value to 285. As above, the data collected from sensors have the characteristics of time series data and image data with 4×4 resolution. Reflecting the characteristics of the measured, preprocessed data, we finally propose a hybrid algorithm that combines CNN in superior performance for image classification and LSTM, especially suitable for analyzing time series data, as referred to CNN-LSTM (Convolutional Neural Network-Long Short Term Memory). In the study, the CNN-LSTM algorithm is used to predict the number of passing persons in one of 4×4 detection areas. We verified the validation of the proposed model by taking performance comparison with other artificial intelligence algorithms such as Multi-Layer Perceptron (MLP), Long Short Term Memory (LSTM) and RNN-LSTM (Recurrent Neural Network-Long Short Term Memory). As a result of the experiment, proposed CNN-LSTM hybrid model compared to MLP, LSTM and RNN-LSTM has the best predictive performance. By utilizing the proposed devices and models, it is expected various metro services will be provided with no illegal issue about the personal information such as real-time monitoring of public transport facilities and emergency situation response services on the basis of congestion. However, the data have been collected by selecting one side of the entrances as the subject of analysis, and the data collected for a short period of time have been applied to the prediction. There exists the limitation that the verification of application in other environments needs to be carried out. In the future, it is expected that more reliability will be provided for the proposed model if experimental data is sufficiently collected in various environments or if learning data is further configured by measuring data in other sensors.

• Journal of Society of Preventive Korean Medicine
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• v.16 no.1
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• pp.43-56
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• 2012

Objective : In this study, we assessed the anti-bacterial effects and epidermal permeability barrier function of red onion juice comparing to yellow onion juice and $Houttuynia$ $cordata$ extract $in$ $vitro$. Methods : 3types of red and yellow onion juice were prepared as antibacterial agent candidates with Houttuynia cordata hot water extract using 4 different bacterial strains ($Escherichia$ $coil$, $Salmonella$ $enterica$ $subsp.$ $enterica$, $Staphylococcus$ $epidermidis$, $Staphylococcus$ $aureus$ $subsp$) by colony counting method. The expression of filaggrin, a marker of keratinocyte differentiation, and serine palmitoyl transferase (SPT), a marker of the formation of the stratum corneum lipid barrier, in human HaCat keratinocytes were analyzed using HaCaT cell line. The expression of COX-2 and AP-1 which is a factor of COX-2 transcription were also analyzed by western blotting method. Results : There was detectable anti-bacterial effects on $Staphylococcus$ $epidermidis$, $Staphylococcus$ $aureus$ $subsp$ among 1%, 5%, 10% extracts of yellow and red onion.(81%-100%) The bacteriocidal effects were not shown on $Escherichia$ $coil$, $Salmonella$ $enterica$ $subsp.$ $enterica$ among $Houttuynia$ $cordata$, yellow onion and red onion extracts. The in vitro results showed the concentration-dependent effects on the expression of both filaggrin and SPT in HaCat cells among 0.01%, 0.05%, 0.1%, 0.5% extracts in Houttuynia cordata and red onion, reflecting the notion that $Houttuynia$ $cordata$ and red onion can induce epidermal keratinocyte differentiation and improve the recovery of skin barrier functions. The concentration-dependent effects also have been shown on the expression of both COX-2 and AP-1 among 0.01%, 0.05%, 0.1%, 0.5% extracts in $Houttuynia$ $cordata$ and red onion, while slight effect in yellow onion. Conclusion : Red onion juice could be a potential candidate enhanser for the skin care and cosmetology.

• Development and Reproduction
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• v.12 no.1
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• pp.77-86
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• 2008

This study was carried out to investigate the effect of leukemia inhibitory factor (LIF) on the derivation of mouse ES cells from isolated blastomeres. Two-cell stage mouse embryos were obtained from superovulated BDF1 female mice. Collected embryos were cultured to blastocyst stage in culture medium supplemented with 0, 1,000, 2,500 or 5,000 U/mL of LIF. Cultured blastocysts were examined by counting the number of cells in the inner cell mass (ICM) and trophectoderm (TE) using differential staining method. When 2-cell embryos were cultured with 2,500 U/ml of LIF, the cell numbers of ICM significantly increased in comparing with those of the control($21.0{\pm}4.0$ vs. $15.9{\pm}5.0$, P<0.01) and 1,000 U/mL of LIF-containing group ($21.0{\pm}4.0$ vs. $16.6{\pm}4.9$, P<0.05). We used an ES cell establishment medium with 20% Knockout Serum Replacement and 0.01 mg/mL ACTH instead of fetal bovine serum. Establishing efficacy of ES cell lines were the highest in 2,500 U/mL of LIF-containing group as 36.7% (11/30). This culture medium was applied to the culture of isolated blastomeres and to derivate ES cell lines. Three ES cell lines (21.4%) from isolated blastomeres of 2-cell stage embryos were established. In further experiments, we could establish one ES cell line (4.0%) from single blastomere of 4-cell stage embryo. The subcultured ES cells and their embryoid bodies were characterized by analyzing gene expression for undifferentiation and differentiation marker gene using immunocytochemistry and RT-PCR. In conclusion, LIF supplementation in culture medium could increase the cell number in ICM of blastocysts and support derivation of ES cell lines from isolated blastomeres.

• Korean journal of applied entomology
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• v.53 no.4
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• pp.375-380
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• 2014

The sweetpotato whitefly (SPW), Bemisia tabaci Gennadius, is a major pest in tomato greenhouses on Jeju Island because they transmit viral diseases. To develop practical sampling methods for adult SPWs, yellow-color sticky traps were used in commercial tomato greenhouses throughout the western part of Jeju Island in 2011 and 2012. On the basis of the size and growing conditions in the tomato greenhouses, 20 to 30 traps were installed in each greenhouse for developing a sampling plan. Adult SPWs were more attracted to horizontal traps placed 60 cm above the ground than to vertical trap placed 10 cm above the plant canopy. The spatial patterns of the adult SPWs were evaluated using Taylor's power law (TPL) and Iwao's patchiness regression (IPR). The results showed that adult SPWs were aggregated in each surveyed greenhouse. In this study, TPL showed better performance because of the coefficient of determination ($r^2$). On the basis of the fixed-precision level sampling plan using TPL parameters, more traps were required for higher precision in lower SPW densities per trap. A sequential sampling stop line was constructed using TPL parameters. If the treatment threshold was greater than 10 maximum adult SPWs on a trap, the required traps numbered 15 at a fixed-precision level of 0.25. In estimating the mean density per trap, the proportion of traps with two or more adult SPWs was more efficient than whole counting: ${\ln}(m)=1.19+0.90{\ln}(-{\ln}(1-p_T))$. The results of this study could be used to prevent the dissemination of SPW as a viral disease vector by using accurate control decision in SPW management programs.

• Journal of Intelligence and Information Systems
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• v.21 no.1
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• pp.99-118
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• 2015

Object-oriented programming languages have been widely selected for developing modern information systems. The use of concepts relating to object-oriented (OO, in short) programming has reduced efforts of reusing pre-existing codes, and the OO concepts have been proved to be a useful in interpreting system requirements. In line with this, we have witnessed that a modern conceptual modeling approach supports features of object-oriented programming. Unified Modeling Language or UML becomes one of de-facto standards for information system designers since the language provides a set of visual diagrams, comprehensive frameworks and flexible expressions. In a modeling process, UML users need to consider relationships between classes. Based on an explicit and clear representation of classes, the conceptual model from UML garners necessarily attributes and methods for guiding software engineers. Especially, identifying an association between a class of part and a class of whole is included in the standard grammar of UML. The representation of part-whole relationship is natural in a real world domain since many physical objects are perceived as part-whole relationship. In addition, even abstract concepts such as roles are easily identified by part-whole perception. It seems that a representation of part-whole in UML is reasonable and useful. However, it should be admitted that the use of UML is limited due to the lack of practical guidelines on how to identify a part-whole relationship and how to classify it into an aggregate- or a composite-association. Research efforts on developing the procedure knowledge is meaningful and timely in that misleading perception to part-whole relationship is hard to be filtered out in an initial conceptual modeling thus resulting in deterioration of system usability. The current method on identifying and classifying part-whole relationships is mainly counting on linguistic expression. This simple approach is rooted in the idea that a phrase of representing has-a constructs a par-whole perception between objects. If the relationship is strong, the association is classified as a composite association of part-whole relationship. In other cases, the relationship is an aggregate association. Admittedly, linguistic expressions contain clues for part-whole relationships; therefore, the approach is reasonable and cost-effective in general. Nevertheless, it does not cover concerns on accuracy and theoretical legitimacy. Research efforts on developing guidelines for part-whole identification and classification has not been accumulated sufficient achievements to solve this issue. The purpose of this study is to provide step-by-step guidelines for identifying and classifying part-whole relationships in the context of UML use. Based on the theoretical work on Meta-model Formalization, self-check forms that help conceptual modelers work on part-whole classes are developed. To evaluate the performance of suggested idea, an experiment approach was adopted. The findings show that UML users obtain better results with the guidelines based on Meta-model Formalization compared to a natural language classification scheme conventionally recommended by UML theorists. This study contributed to the stream of research effort about part-whole relationships by extending applicability of Meta-model Formalization. Compared to traditional approaches that target to establish criterion for evaluating a result of conceptual modeling, this study expands the scope to a process of modeling. Traditional theories on evaluation of part-whole relationship in the context of conceptual modeling aim to rule out incomplete or wrong representations. It is posed that qualification is still important; but, the lack of consideration on providing a practical alternative may reduce appropriateness of posterior inspection for modelers who want to reduce errors or misperceptions about part-whole identification and classification. The findings of this study can be further developed by introducing more comprehensive variables and real-world settings. In addition, it is highly recommended to replicate and extend the suggested idea of utilizing Meta-model formalization by creating different alternative forms of guidelines including plugins for integrated development environments.