• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.16 no.2
• /
• pp.445-466
• /
• 2022

As everything linking to the internet, people can subscribe to various services from a service provider to facilitate their lives through the Internet of Things (IoT). An obligatory thing for the service provider is that they should push the service data safely and timely to multiple IoT terminal devices regularly after the IoT devices accomplishing the service subscription. In order to control the service message received by the legal devices as while as keep the confidentiality of the data, the public key encryption algorithm is utilized. While the existing public encryption algorithms for push service are too complicated for IoT devices, and almost of the current subscription schemes based on push mode are relying on centralized organization which may suffer from centralized entity corruption or single point of failure. To address these issues, we design a secure subscription-push service scheme based on blockchain and edge computing in this article, which is decentralized with secure architecture for the subscription and push of service. Furthermore, inspired by broadcast encryption and multicast encryption, a new encryption algorithm is designed to manage the permissions of IoT devices together with smart contract, and to protect the confidentiality of push messages, which is suitable for IoT devices. The edge computing nodes, in the new system architecture, maintain the blockchain to ensure the impartiality and traceability of service subscriptions and push messages, meanwhile undertake some calculations for IoT devices with limited computing power. The legalities of subscription services are guaranteed by verifying subscription tags on the smart contract. Lastly, the analysis indicates that the scheme is reliable, and the proposed encryption algorithm is safe and efficient.

• KIPS Transactions on Software and Data Engineering
• /
• v.11 no.1
• /
• pp.11-18
• /
• 2022

De novo drug design is the process of developing new drugs that can interact with biological targets such as protein receptors. Traditional process of de novo drug design consists of drug candidate discovery and drug development, but it requires a long time of more than 10 years to develop a new drug. Deep learning-based methods are being studied to shorten this period and efficiently find chemical compounds for new drug candidates. Many existing deep learning-based drug design models utilize recurrent neural networks to generate a chemical entity represented by SMILES strings, but due to the disadvantages of the recurrent networks, such as slow training speed and poor understanding of complex molecular formula rules, there is room for improvement. To overcome these shortcomings, we propose a deep learning model for SMILES string generation using variational autoencoders with self-attention mechanism. Our proposed model decreased the training time by 1/26 compared to the latest drug design model, as well as generated valid SMILES more effectively.

• Knowledge Management Research
• /
• v.25 no.2
• /
• pp.1-18
• /
• 2024

With the increasing demand for and utilization of large language models (LLMs), the risk of user sensitive information being inputted and leaked during the use of LLMs also escalates. Typically recognized as a tool for mitigating the hallucination issues of LLMs, knowledge graphs, constructed independently from LLMs, can store and manage sensitive user information separately, thereby minimizing the potential for data breaches. This study, therefore, presents a knowledge graph-based chatbot that transforms user-inputted natural language questions into queries appropriate for the knowledge graph using LLMs, subsequently executing these queries and extracting the results. Furthermore, to evaluate the functional validity of the developed knowledge graph-based chatbot, performance tests are conducted to assess the comprehension and adaptability to existing knowledge graphs, the capability to create new entity classes, and the accessibility of LLMs to the knowledge graph content.

• Journal of Intelligence and Information Systems
• /
• v.21 no.1
• /
• pp.1-13
• /
• 2015

As opinion mining in big data applications has been highlighted, a lot of research on unstructured data has made. Lots of social media on the Internet generate unstructured or semi-structured data every second and they are often made by natural or human languages we use in daily life. Many words in human languages have multiple meanings or senses. In this result, it is very difficult for computers to extract useful information from these datasets. Traditional web search engines are usually based on keyword search, resulting in incorrect search results which are far from users' intentions. Even though a lot of progress in enhancing the performance of search engines has made over the last years in order to provide users with appropriate results, there is still so much to improve it. Word sense disambiguation can play a very important role in dealing with natural language processing and is considered as one of the most difficult problems in this area. Major approaches to word sense disambiguation can be classified as knowledge-base, supervised corpus-based, and unsupervised corpus-based approaches. This paper presents a method which automatically generates a corpus for word sense disambiguation by taking advantage of examples in existing dictionaries and avoids expensive sense tagging processes. It experiments the effectiveness of the method based on Naïve Bayes Model, which is one of supervised learning algorithms, by using Korean standard unabridged dictionary and Sejong Corpus. Korean standard unabridged dictionary has approximately 57,000 sentences. Sejong Corpus has about 790,000 sentences tagged with part-of-speech and senses all together. For the experiment of this study, Korean standard unabridged dictionary and Sejong Corpus were experimented as a combination and separate entities using cross validation. Only nouns, target subjects in word sense disambiguation, were selected. 93,522 word senses among 265,655 nouns and 56,914 sentences from related proverbs and examples were additionally combined in the corpus. Sejong Corpus was easily merged with Korean standard unabridged dictionary because Sejong Corpus was tagged based on sense indices defined by Korean standard unabridged dictionary. Sense vectors were formed after the merged corpus was created. Terms used in creating sense vectors were added in the named entity dictionary of Korean morphological analyzer. By using the extended named entity dictionary, term vectors were extracted from the input sentences and then term vectors for the sentences were created. Given the extracted term vector and the sense vector model made during the pre-processing stage, the sense-tagged terms were determined by the vector space model based word sense disambiguation. In addition, this study shows the effectiveness of merged corpus from examples in Korean standard unabridged dictionary and Sejong Corpus. The experiment shows the better results in precision and recall are found with the merged corpus. This study suggests it can practically enhance the performance of internet search engines and help us to understand more accurate meaning of a sentence in natural language processing pertinent to search engines, opinion mining, and text mining. Naïve Bayes classifier used in this study represents a supervised learning algorithm and uses Bayes theorem. Naïve Bayes classifier has an assumption that all senses are independent. Even though the assumption of Naïve Bayes classifier is not realistic and ignores the correlation between attributes, Naïve Bayes classifier is widely used because of its simplicity and in practice it is known to be very effective in many applications such as text classification and medical diagnosis. However, further research need to be carried out to consider all possible combinations and/or partial combinations of all senses in a sentence. Also, the effectiveness of word sense disambiguation may be improved if rhetorical structures or morphological dependencies between words are analyzed through syntactic analysis.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.22 no.6
• /
• pp.32-48
• /
• 2023

Autonomous driving technology is shaping the future of personalized travel, encouraging personalized travel, and traffic impact could be influenced by individualized travel behavior during the transition of driving entity from human to machine. In order to evaluate traffic impact, it is necessary to estimate the total number of trips based on an understanding of individual travel characteristics. The Activity-based model(ABM), which allows for the reflection of individual travel characteristics, deals with all travel sequences of an individual. Understanding the relationship between travel and travel must be important for assessing traffic impact using ABM. However, the ABM has a limitation in the data hunger model. It is difficult to adjust in the actual demand forecasting. Therefore, we utilized a Tour-based model that can explain the relationship between travels based on household travel survey data instead. After that, vehicle registration and population data were used for correction. The result showed that, compared to the KTDB one, the traffic generation exhibited a 13% increase in total trips and approximately 9% reduction in working trips, valid within an acceptable margin of error. As a result, it can be used as a generation correction method based on Tour, which can reflect individual travel characteristics, prior to building an activity-based model to predict demand due to the introduction of autonomous vehicles in terms of road operation, which is the ultimate goal of this study.

• Journal of the Daesoon Academy of Sciences
• /
• v.23
• /
• pp.241-292
• /
• 2014

This article as an attempt to analyze Jin-beop-joo(眞法呪, incantation of true law) and the view of Yang-wui Sangje(兩位上帝, Sangje in two Godship) corresponds to the second preliminary work prior to the research on the view of Sangje in Daesoonjinrihoe. The points of this article are as follows: First, Jin-beop-joo and 15 Godship(神位) based hereupon are one of the most essential elements comprising the view of Sangje in Daesoonjinrihoe. Since the other Jeungsan line religious orders except Daesoonjinrihoe does not use 15 Godship in explaining and understanding Jeungsan, this fact should be regarded as an important characteristic of Daesoonjinrihoe. Second, 15 Godship is the important installation to assemble Sangje and the other gods in the same place. In Buddhism temples and China-Taoism temples, the gods each are placed in a separate palace. Whereas Sangje and the gods are concentrated in the same place, Yound-Dae(靈臺) which is the shrine of Daesoonjinrihoe. This fact shows Sangje takes the reins to the gods visually. 15 Godship facilitates that system. Third, the number 15 of 15 Godship symbolizes the natural laws of the cosmos. Thus the shrine of Daesoonjinrihoe implies the law of universe emblematically. Forth, 15 Godship shows that the Highest God in Daesoonjinrihoe are located in the middle of the functional gods ruling over nature like mountain, sea, season, the Great Dipper, and Taoistic or Buddhistic gods like Ok-hwang Sangje(玉皇上帝, The Great Jade Emperor), Seoga-Yeorae(釋迦如來, Tathāgata Buddha), Kwan-seong-Jegoon(關聖帝君, Holy god Guan Yu), along with various envoys and ancestral gods. Besides, considering the fact that the majority of 15 Godship consists of the Eastern deities, it verifies the view of Sangje in Daesoonjinrihoe is built in the Eastern religions. Fifth, whereas the other Jeungsan line religious orders have a tendency of understanding Jeungsan as Ok-hwang Sangje, Daesoonjinrihoe worships Jeungsan as Gu-cheon Sangje(九天上帝), not as Ok-hwang Sangje. This accords with the following fact; Jeungsan is the highest ruling entity in Gu-cheon, whereas in Jinbeonju, which was handed down from Jeungsan, the highest ruling entitiy in Gu-cheon is expressed as a different being from Ok-hwang Sangje. Sixth, Daesoonjinrihoe understands Sangje as the form of two Godship, Yang-wui Sangje, which are Gu-cheon Sangje and Ok-hwang Sangje. Judging from the form of salutation, the status of these two Sangjes are the same. Yet, the object of belief is Gu-cheon Sangje as the highest God, while Ok-hwang Sangje is stipulated as the one who has wielded a true law succeeding to the Gu-cheon Sangje's will. The religious term of Yang-wui Sangje don't imply meaning Gu-cheon Sangje and Ok-hwang Sangje are the same rank. Yang-wui Sangje is the term expresses Sangje in two Godship and involves the orthodox heritage of Daesoonjinrihoe. Along with An Introduction to the Study of the Outlook on the Highest Ruling Entity in Daesoonjinrihoe (I), this article is written, while giving a thought to construct the religiography on the highest God in Daesoonjinrihoe. I hope this article accompanied with the previous one, can be contributed to the fertilization of the soil in the field of Daesoon religious studies.

• Journal of the Computational Structural Engineering Institute of Korea
• /
• v.30 no.6
• /
• pp.567-576
• /
• 2017

The object of this research is an establishment of BIM-based quantity takeoff(QTO) and cost estimation guidelines for reinforcement concrete structures focused on improvement of field applicability in transition period from 2D drawing-based environment to 3D BIM-based environment. Preliminary studies on existing guidelines and standards for BIM modeling, QTO and cost estimation of reinforcement concrete structures are performed, and then a standardization of BIM-based cost estimation process is proposed through comparative analysis between 2D drawing-based cost estimation process and 3D BIM-based. In addition, modeling, QTO, and cost estimation processes of cost-BIM model for RC structures are conducted. The contributions of this research and the guidelines suggested by this research are 1) lowering barriers to entity to the new BIM-based environment for small size companies, 2) reducing construction cost by a close estimate, 3) establishing the foundation for integrated management of informations through construction project life cycle, 4) and ultimately, developing the BIM ecosystems.

• Korean Institute of Interior Design Journal
• /
• v.21 no.4
• /
• pp.146-154
• /
• 2012

As Damyang has preserved both beautiful natural environment and tradition very well, it needs colors which can coexist with Damyang while preserving it as it is rather than colorful and refined colors. However, the present Damyang deteriorates the quality of beautiful natural scenes by chaotic uses of colors. Therefore, colors which can represent symbolism based on the present colors of Damyang should be used so that everyone can be pleased with them. Finally, the basic colors decided were classified into main, supplement and highlight colors in consideration of characteristics of each scene and they were effectively arranged based on the colors decided. If such colors and color schemes are properly applied according to characteristics of scenes, ecological, historical, cultural and traditional scenes of Damyang can be preserved consistently. Academic literature uses the abstract to succinctly communicate complex research. An abstract may act as a stand-alone entity instead of a full paper. As such, an abstract is used by many organizations as the basis for selecting research that is proposed for presentation in the form of a poster, platform/oral presentation or workshop presentation at an academic conference. Most literature database search engines index only abstracts rather than providing the entire text of the paper. Full texts of scientific papers must often be purchased because of copyright and/or publisher fees and therefore the abstract is a significant selling point for the reprint or electronic version of the full-text. Abstracts are protected under copyright law just as any other form of written speech is protected. However, publishers of scientific articles invariably make abstracts publicly available, even when the article itself is protected by a toll barrier. For example, articles in the biomedical literature are available publicly from medline which is accessible through design. It is a common misconception that the abstracts in medline provide sufficient information for medical practitioners, students, scholars and patients. The abstract can convey the main results and conclusions of a scientific article but the full text article must be consulted for details of the methodology.

• Asian Pacific Journal of Cancer Prevention
• /
• v.15 no.19
• /
• pp.8351-8359
• /
• 2014

Background: Recent epidemiological data have implicated human papilloma virus (HPV) infection in the pathogenesis of head and neck cancers, especially oropharyngeal cancers. Although, HPV has been detected in varied amounts in persons with oral dysplasia, leukoplakias and malignancies, its involvement in oral tongue carcinogenesis remains ambiguous. Materials and Methods: HPV DNA prevalence was assessed by PCR with formalin fixed paraffin embedded sections (n=167) of oral tongue squamous cell carcinoma patients and the physical status of the HPV16 DNA was assessed by qPCR. Immunohistochemistry was conducted for p16 evaluation. Results: We found the HPV prevalence in tongue cancers to be 51.2%, HPV 16 being present in 85.2% of the positive cases. A notable finding was a very poor concordance between HPV 16 DNA and p16 IHC findings (kappa<0.2). Further molecular classification of patients based on HPV16 DNA prevalence and p16 overexpression showed that patients with tumours showing p16 overexpression had increased hazard of death (HR=2.395; p=0.005) and disease recurrence (HR=2.581; p=0.002) irrespective of their HPV 16 DNA status. Conclusions: Our study has brought out several key facets which can potentially redefine our understanding of tongue cancer tumorigenesis. It has emphatically shown p16 overexpression to be a single important prognostic variable in defining a high risk group and depicting a poorer prognosis, thus highlighting the need for its routine assessment in tongue cancers. Another significant finding was a very poor concordance between p16 expression and HPV infection suggesting that p16 expression should possibly not be used as a surrogate marker for HPV infection in tongue cancers. Interestingly, the prognostic significance of p16 overexpression is different from that reported in oropharyngeal cancers. The mechanism of HPV independent p16 over expression in oral tongue cancers is possibly a distinct entity and needs to be further studied.

• Korean Journal of Plant Taxonomy
• /
• v.46 no.2
• /
• pp.149-162
• /
• 2016

Five species of the genus Leontopodium are recognized in Korea, but their taxonomic positions have been controversial. To clarify the taxonomic entity of these Korean species, we examined their morphological characters based on herbarium specimens and field observations. Valuable distinguishing characters for identification included the plant height, the basal shape of cauline leaves, the type and position of inflorescence, the types of hairs, the presence of leaves at the anthesis, and hairs on the phyllaries. Based on our observations, we were able to determine the taxonomic relationships between L. japonicum and its relatives, L. coreanum and L. hallaisanense. We also included the morphological characters of L. seorakensis in continuous variations of L. leiolepis, which we treated as synonyms. Consequently, we classified these Korean Leontopodium species into four taxa - L. coreanum var. coreanum, L. coreanum var. hallaisanense, L. leiolepis, and L. leontopodioides - with appropriate descriptions and illustrations.