• Journal of IKEEE
• /
• v.24 no.4
• /
• pp.1148-1155
• /
• 2020

Fire must be extinguished as quickly as possible because they cause a lot of economic loss and take away precious human lives. Especially, the detection of smoke, which tends to be found first in fire, is of great importance. Smoke detection based on image has many difficulties in algorithm research due to the irregular shape of smoke. In this study, we introduce a new real-time smoke detection algorithm that reduces the detection of false positives generated by irregular smoke shape based on faster r-cnn of factory-installed surveillance cameras. First, we compute the global frame similarity and mean squared error (MSE) to detect the movement of smoke from the input surveillance camera. Second, we use deep learning algorithm (Faster r-cnn) to extract deferred candidate regions. Third, the extracted candidate areas for acting are finally determined using space and temporal features as smoke area. In this study, we proposed a new algorithm using the space and temporal features of global and local frames, which are well-proposed object information, to reduce false positives based on deep learning techniques. The experimental results confirmed that the proposed algorithm has excellent performance by reducing false positives of about 99.0% while maintaining smoke detection performance.

• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.3
• /
• pp.1385-1393
• /
• 2021

This study examines the impact of independent behavior, goal achievement, and curiosity on employee performance and examines the impact of independent behavior and goal achievement on employee performance through curiosity. This research is conducted on a survey using explanatory research. Data collection is carried out using a questionnaire as a research instrument. The questionnaire was conducted on employees of finance companies in Yogyakarta, Indonesia. The selection of companies used as research is based on the similarity of the products being marketed. In Yogyakarta, there are 54 branch offices of finance companies that carry out business activities. However, of the 54 companies, ten have the same products being marketed, namely mortgage loans, investment loans, and multipurpose loans. In contrast, other finance companies focus more on motor vehicle loans—determining the number of samples obtained by multiplying by six times the number of indicators used. The sampling technique is done by purposive sampling with specific respondent criteria. In this study, analysis techniques, using Structural Equation Modeling (SEM) with AMOS 22. The results showed that the increase in employee performance was influenced by curiosity regarding independent employee behavior. This study provides recommendations human resource management practices that have an impact on organizational performance.

• Asian Journal of Innovation and Policy
• /
• v.11 no.2
• /
• pp.202-221
• /
• 2022

The media has depicted an abrupt socio-technological change in the Republic of Korea with the 4th Industrial Revolution. Because technologies cannot realize their potential without social acceptance, studying conflicts incurred by such a change is imperative. However, little literature has focused on conflicts caused by technologies. Therefore, the current study investigated media coverage regarding conflicts related to the 4th Industrial Revolution from 2016 to 2020 in the Republic of Korea, applying text-mining techniques. We found that the overall amount and coverage pattern conforms to the issue attention cycle. Also, the three major topics ("SMEs & Startups," "Mobility Conflict," and "Human & Technology") indicate quarrels between conflicting social entities. Moreover, the temporal change in media coverage implies the political use of the term rather than technological. However, we also found the media's deliberative discussion on the socio-technological impact. This study is significant because we expanded the discussion on media coverage of technologies to the realm of social conflicts. Furthermore, we explored the news articles of the recent five years with a text-mining approach that enhanced the objectivity of the research.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.46 no.3
• /
• pp.407-423
• /
• 2022

Fashion illustration is a language that expresses the inspirational imagination of designers. Like fashion, illustration reflects and records the social and cultural phenomena of the time. In this context, Ignasi Monreal's fashion illustration shows the characteristics that reveal modern people's ways of thinking and their desires. This study analyzed work by Ignasi Monreal in 'Gucci Hallucination' of 2018 S/S to examine the characteristics of his new painting style and the messages his fashion illustration aims to convey. He tried to harmonize his surrealistic digital illustrations of Greek mythology with Gucci items. As a result of this study, the characteristics of Monreal's illustration works were divided into two main categories: formal aspects (similarity of composition or subject and use of dépaysement techniques), and content aspects (expression of a mythical surreal being). These qualities differentiate Monreal's fashion illustration from that of other artists. In addition, his works on the myth of Icarus not only express the desires of modern people but also convey social satirical messages.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.17 no.4
• /
• pp.1276-1295
• /
• 2023

Sensor networks are now an essential aspect of wireless communication, especially with the introduction of new gadgets and protocols. Their ability to be deployed anywhere, especially where human presence is undesirable, makes them perfect choices for remote observation and control. Despite their vast range of applications from home to hostile territory monitoring, limited battery power remains a limiting factor in their efficacy. To analyze and transmit data, it requires intelligent use of available battery power. Several studies have established effective routing algorithms based on clustering. However, choosing optimal cluster heads and similarity measures for clustering significantly increases computing time and cost. This work proposes and implements a simple two-phase technique of route creation and maintenance to ensure route reliability by employing nature-inspired ant colony optimization followed by the fuzzy decision engine (FDE). Benchmark methods such as PSO, ACO and GWO are compared with the proposed HRCM's performance. The objective has been focused towards establishing the superiority of proposed work amongst existing optimization methods in a standalone configuration. An average of 15% improvement in energy consumption followed by 12% improvement in latency reduction is observed in proposed hybrid model over standalone optimization methods.

• Journal of the Daesoon Academy of Sciences
• /
• v.20
• /
• pp.193-222
• /
• 2009

There is no place in the scriptures of Daesoonjinrihoe(大巡眞理會) where Indian philosophy is directly discussed. The philosophies dealt with in Daesoon thought are mostly those of Christianity, Confucianism, Buddhism, and Taoism. Of course, the thoughts that are not widely known and those that are not considered to be worth comparing with the Daesoon thought must have been omitted. It seems that Indian philosophy and Daesoon thought have considerable similarity. First of all, the two philosophies are rooted in religion. True, there is no dearth of religious philosophies in the East, for instance, Confucianism and Taoism, and yet comparing Daesoon thought and Indian philosophy is significant because they both presuppose a theistic paradigm. At the core of the two perspectives, there is personal God, i.e., Isvara or Gucheon Sangje (九天上帝), upon whom human beings and the world absolutely depend as his creation. Unlike traditional Christian theology, the two philosophies are alike in being indifferent to proving the existence of the deity and focusing on his form and role. In this article, the author try to examine the meaning of the four tenets of Daesoonjinrihoe(Eumyanghapdeok 陰陽合德, Shininjohwa 神人調化, Haewonsangsaeng 解冤相生, Dotongjingyeong 道通眞境) from the perspective of Indian philosophy in general, Purusa-sukta of Rig-veda, theistic Upanisads, and Ramanuja's Visistadvaita(限定不二論) in particular. Before making up the main subject, the author inquires into the characteristics of Ultimate Reality in Daesoon thought and Indian philosophy.

• Proceedings of the Plant Resources Society of Korea Conference
• /
• 2022.09a
• /
• pp.55-55
• /
• 2022

Corylopsis Siebold & Zucc. (Hamamelidaceae) is widely used for horticultural plant and comprise ca. 25 species in East Asia (1 species in Korea; 4 species in Japan; 20 species in China). Previous revisions have gone from 7 to more than 30 species, causing confusion in the nursery industry and public gardens. Due to morphological similarity within Corylopsis, molecular research is needed to distinguish it. In this study, the chloroplast genome of C. gotoana and C. pauciflora distributed in Japan was completed by using NGS (Next-Generation Sequencing) technique. The genome size of C. gotoana and C. pauciflora were 159,434 bp (large single-copy (LSC): 88,164 bp; small single-copy (SSC): 18,702 bp; inverted repeat regions (IRs): 26,284 bp) and 159,363 bp (LSC: 88,097 bp; SSC: 18,700 bp; IRs: 26,283 bp), respectively. In addition, we investigated the repeats, SNPs, and indels, and that could be used as DNA markers. Phylogenetic analysis demonstrated that C. pauciflora was sister to C. gotoana and C. spicata. The genus Corylopsis is a monophyletic group and Loropetalum is closely related to Corylopsis. The results of our study will provide the basic data necessary for the analysis of the species identification markers and genetic diversity within the genus Corylopsis in the future.

• Food Science and Preservation
• /
• v.30 no.5
• /
• pp.770-784
• /
• 2023

Although most lemons are imported into Korea, their consumption is increasing. Development of domestic varieties of Jeramon and Minimon is currently underway in an effort to meet the increasing demand for fresh lemons. In this study, an analysis of the physicochemical characteristics of Jeramon and Minimon, including their flavor components and antioxidant properties, was conducted. The results revealed that these new varieties of Korean lemon can be regarded as good sources of antioxidants and phytochemicals. Compared to Sunkist, the most consumed lemon variety in Korea, Minimon contained more than twice as much β-cryptoxanthin, and the content of L-ascorbic acid was more than three-four-fold higher in both Minimon and Jeramon. In addition, results from measurement of DPPH and ABTS radical scavenging activities indicated that Jeramon extract exhibited the highest antioxidant activity. In the volatile profile analysis, the profiles of volatile components showed high similarity among the three lemon samples, and the composition ratio was largely dominated by terpenoids. A markedly higher ratio of d-limonene and thymol was detected in the Minimon variety compared with that in the other two varieties. Collectively, the findings from this study on Korean lemon varieties provide a basis as well as valuable guidance for breeding domestic lemon varieties.

• Journal of the Korea Institute of Military Science and Technology
• /
• v.27 no.2
• /
• pp.256-264
• /
• 2024

In the last 10 years, AI has made rapid progress, and image classification, in particular, are showing excellent performance based on deep learning. Nevertheless, due to the nature of deep learning represented by a black box, it is difficult to actually use it in critical decision-making situations such as national defense, autonomous driving, medical care, and finance due to the lack of explainability of judgement results. In order to overcome these limitations, in this study, a model description algorithm capable of local interpretation was applied to the inception network-derived AI to analyze what grounds they made when classifying national defense data. Specifically, we conduct a comparative analysis of explainability based on confidence values by performing LIME analysis from the Inception v2_resnet model and verify the similarity between human interpretations and LIME explanations. Furthermore, by comparing the LIME explanation results through the Top1 output results for Inception v3, Inception v2_resnet, and Xception models, we confirm the feasibility of comparing the efficiency and availability of deep learning networks using XAI.

• The Journal of Information Systems
• /
• v.33 no.3
• /
• pp.251-286
• /
• 2024

Purpose The purpose of this study is to identify various consumer groups by analyzing the consumer's DISC behavior type targeting consumers who have used chatbots in online shopping malls. By analyzing the relationship between DISC behavior type, chatbot information delivery method, and chatbot satisfaction, we want to reveal how the information delivery method by chatbots affects consumer satisfaction. Design/methodology/approach This study constructed a research model based on previous studies focusing on chatbot's information delivery method, consumer satisfaction with chatbot, and DISC behavior type. Findings According to the results of the empirical analysis, this study confirmed that there is a privacy concern in the form through the perceived privacy risk derived from the tendency to value privacy. In addition, this study confirmed that the behavior of Internet users involved in providing personal information is caused by perceived benefits that contradict privacy concerns.