• The Journal of Industrial Distribution & Business
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• v.13 no.11
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• pp.39-46
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• 2022

Purpose: Visual communication is the act of using elements and components that can be seen. Some of the elements include images, illustrations, drawings, and videos. The purpose of this research is to check if there is the meaningful role of visual communication for emotional marketing plan. Research design, data and methodology: The present author firstly tried to obtain prior knowledge based on numerous previous literature through qualitative content method, investigating and searching related topic in 'Scopus' and 'Google Scholar' which is one of the most famous database. This methodology has already been proved the credibility and conformability by prior researchers. Results: The current study looks at four basic aspects that will assist in analyzing the findings and results from different peer-review articles. The section will cover social media, videos, podcasts, and ads. Conclusions: Several studies also affirmed that increased use of the internet and internet for marketing causes psychological issues among adolescents. Only adults should view some of the marketing ads, but if they pop into an adolescent browser, it may cause some harmful effects. Therefore, the study concluded that moderation of online visual adverts should be done to ensure only the targeted customers view the advert.

• Science of Emotion and Sensibility
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• v.26 no.4
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• pp.93-102
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• 2023

Emojis and avatars are widely used in online communications, but their emotional conveyance lacks research. This study aims to contribute to the field of emotional expression in computer-mediated communication (CMC) by exploring the effectiveness of emotion recognition, the intensity of perceived emotions, and the perceived preferences for emojis and avatars as emotional expression tools. The following were used as stimuli: 12 photographs from the Yonsei-Face database, 12 Memojis that reflected the photographs, and 6 iOS emojis. The results of this study indicate that emojis outperformed other forms of emotional expression in terms of conveying emotions, intensity, and preference. Indeed, the study findings confirm that emojis remain the dominant form of emotional signals in CMC. In contrast, the study revealed that Memojis were inadequate as an expressive emotional cue. Participants did not perceive Memojis to effectively convey emotions compared with other forms of expression, such as emojis or real human faces. This suggests room for improvement in the design and implementation of Memojis to enhance their effectiveness in accurately conveying intended emotions. Addressing the limitations of Memojis and exploring ways to optimize their emotional expressiveness necessitate further research and development in avatar design.

• The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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• v.37 no.2
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• pp.74-94
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• 2024

Objectives : This study was conducted to analyze the trends of international clinical research on acupuncture treatment for trigeminal neuralgia. Methods : A total of 14 clinical researches were selected by using PubMed, an international online database, to search for clinical researches written in English and Chinese. Selected papers were analyzed according to study characteristics, study subjects, acupuncture treatment methods, treatment results, evaluation index, safety, and adverse event reports. Results : Acupuncture was mostly used in combination with other treatment methods. The most commonly used acupuncture point was the 'Xiaguan(ST7)', and 11 acupuncture points belonging to the 'Stomach meridian' were used. In most researches, selection of local points and distant points were taken simultaneously, with some researches taking acupuncture points according to trigeminal nerve branch. There were significant improvements in most outcome measures after treatment compared to pre-treatment, and most adverse events disappeared without treatment or decreased or disappeared after grand therapy. Conclusion : According to this study, acupuncture treatment for trigeminal neuralgia was performed in various ways and was found to be effective and safe. However, it is necessary to confirm more meaningful results by supplementing the limitations of existing researches in the future.

• Journal of the Institute of Electronics and Information Engineers
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• v.49 no.9
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• pp.205-214
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• 2012

The main thing that IT operation managers consider is protecting assets of corporation from system failure and disaster. Therefore, this research proposed a backup system for a disaster recovery. Previous backup method is that if database update occurs, this record is saved in redo log, and if the size of record file is over than expected, this file is saved in archive log in order. Thus, it is possible to occur errors of data loss from the process of data backup which change in real time while changes of database occur. Suggested backup system is back redo log up to database of transaction log in real time, and back a record that can be omitted from previous backup method up to archive log. When recover the data, it is possible to recover redo log in real time online, and it minimizes data loss. Also, throughout multi thread processing method data recovery is performed and it is designed that system performance is improved. To verify stability of backup system CPN(Coloured Petri Net) is introduced, and each step of backup system is displayed in diagram form, and th e stability is verified based on the definition and theorem of CPN.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.7
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• pp.3139-3145
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• 2016

Cancer is the leading cause of morbidity and mortality worldwide, characterized by irregular cell growth. Cytotoxicity or killing tumor cells that divide rapidly is the basic function of chemotherapeutic drugs. However, these agents can damage normal dividing cells, leading to adverse effects in the body. In view of great advances in cancer therapy, which are increasingly reported each year, we quantitatively and qualitatively evaluated the papers published between 1981 and December 2015, with a closer look at the highly cited papers (HCPs), for a better understanding of literature related to cytotoxicity in cancer therapy. Online documents in the Web of Science (WOS) database were analyzed based on the publication year, the number of times they were cited, research area, source, language, document type, countries, organization-enhanced and funding agencies. A total of 3,473 publications relevant to the target key words were found in the WOS database over 35 years and 86% of them (n=2,993) were published between 2000-2015. These papers had been cited 54,330 times without self-citation from 1981 to 2015. Of the 3,473 publications, 17 (3,557citations) were the most frequently cited ones between 2005 and 2015. The topmost HCP was about generating a comprehensive preclinical database (CCLE) with 825 (23.2%) citations. One third of the remaining HCPs had focused on drug discovery through improving conventional therapeutic agents such as metformin and ginseng. Another 33% of the HCPs concerned engineered nanoparticles (NPs) such as polyamidoamine (PAMAM) dendritic polymers, PTX/SPIO-loaded PLGAs and cell-derived NPs to increase drug effectiveness and decrease drug toxicity in cancer therapy. The remaining HCPs reported novel factors such as miR-205, Nrf2 and p27 suggesting their interference with development of cancer in targeted cancer therapy. In conclusion, analysis of 35-year publications and HCPs on cytotoxicity in cancer in the present report provides opportunities for a better understanding the extent of topics published and may help future research in this area.

• Journal of Internet Computing and Services
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• v.15 no.3
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• pp.101-107
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• 2014

With the development of online service, recent forms of databases have been changed from static database structures to dynamic stream database structures. Previous data mining techniques have been used as tools of decision making such as establishment of marketing strategies and DNA analyses. However, the capability to analyze real-time data more quickly is necessary in the recent interesting areas such as sensor network, robotics, and artificial intelligence. Landmark window-based frequent pattern mining, one of the stream mining approaches, performs mining operations with respect to parts of databases or each transaction of them, instead of all the data. In this paper, we analyze and evaluate the techniques of the well-known landmark window-based frequent pattern mining algorithms, called Lossy counting and hMiner. When Lossy counting mines frequent patterns from a set of new transactions, it performs union operations between the previous and current mining results. hMiner, which is a state-of-the-art algorithm based on the landmark window model, conducts mining operations whenever a new transaction occurs. Since hMiner extracts frequent patterns as soon as a new transaction is entered, we can obtain the latest mining results reflecting real-time information. For this reason, such algorithms are also called online mining approaches. We evaluate and compare the performance of the primitive algorithm, Lossy counting and the latest one, hMiner. As the criteria of our performance analysis, we first consider algorithms' total runtime and average processing time per transaction. In addition, to compare the efficiency of storage structures between them, their maximum memory usage is also evaluated. Lastly, we show how stably the two algorithms conduct their mining works with respect to the databases that feature gradually increasing items. With respect to the evaluation results of mining time and transaction processing, hMiner has higher speed than that of Lossy counting. Since hMiner stores candidate frequent patterns in a hash method, it can directly access candidate frequent patterns. Meanwhile, Lossy counting stores them in a lattice manner; thus, it has to search for multiple nodes in order to access the candidate frequent patterns. On the other hand, hMiner shows worse performance than that of Lossy counting in terms of maximum memory usage. hMiner should have all of the information for candidate frequent patterns to store them to hash's buckets, while Lossy counting stores them, reducing their information by using the lattice method. Since the storage of Lossy counting can share items concurrently included in multiple patterns, its memory usage is more efficient than that of hMiner. However, hMiner presents better efficiency than that of Lossy counting with respect to scalability evaluation due to the following reasons. If the number of items is increased, shared items are decreased in contrast; thereby, Lossy counting's memory efficiency is weakened. Furthermore, if the number of transactions becomes higher, its pruning effect becomes worse. From the experimental results, we can determine that the landmark window-based frequent pattern mining algorithms are suitable for real-time systems although they require a significant amount of memory. Hence, we need to improve their data structures more efficiently in order to utilize them additionally in resource-constrained environments such as WSN(Wireless sensor network).

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.4
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• pp.1400-1418
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• 2020

In the development of commercial promotion, chatbot is known as one of significant skill by application of natural language processing (NLP). Conventional design methods are using bag-of-words model (BOW) alone based on Google database and other online corpus. For one thing, in the bag-of-words model, the vectors are Irrelevant to one another. Even though this method is friendly to discrete features, it is not conducive to the machine to understand continuous statements due to the loss of the connection between words in the encoded word vector. For other thing, existing methods are used to test in state-of-the-art online corpus but it is hard to apply in real applications such as telemarketing data. In this paper, we propose an improved chatbot design way using hybrid bag-of-words model and skip-gram model based on the real telemarketing data. Specifically, we first collect the real data in the telemarketing field and perform data cleaning and data classification on the constructed corpus. Second, the word representation is adopted hybrid bag-of-words model and skip-gram model. The skip-gram model maps synonyms in the vicinity of vector space. The correlation between words is expressed, so the amount of information contained in the word vector is increased, making up for the shortcomings caused by using bag-of-words model alone. Third, we use the term frequency-inverse document frequency (TF-IDF) weighting method to improve the weight of key words, then output the final word expression. At last, the answer is produced using hybrid retrieval model and generate model. The retrieval model can accurately answer questions in the field. The generate model can supplement the question of answering the open domain, in which the answer to the final reply is completed by long-short term memory (LSTM) training and prediction. Experimental results show which the hybrid word vector expression model can improve the accuracy of the response and the whole system can communicate with humans.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.15 no.5
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• pp.1-7
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• 2015

Recently, a coaching helps individual to lead and maximize performance. Generally there is a face to face coaching at the current spot of education, and the e-coaching is on the rise. And the face-to-face coaching means that coach and the coachee come face to face directly. And, the effective coaching method is required to supply the weakness and to maximize the strength of the e-coaching using the Internet. Accordingly, we are studying a hybrid coaching to overcome the difficulty and the limit of face-to-face coaching and online coaching. In this paper, we design and implement the career coaching system to provide the face-to-face coaching and the e-coaching for coachee based on the Web service on the Internet. We provide the hybrid coaching using Web service based on the Restful and connect with the database based on the Web to save and manage the profiles and the coaching history of the coach and the coachee. Proposed hybrid coaching system for coachee career improves remote accessibility between the coach and the coachee. This system provides the interaction without the limit of the time and the space, and overcomes the limit of the traditional face-to-face coaching on the online environment.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.46 no.2
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• pp.84-91
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• 2009

This paper presents an online partial 3D modeling methodology that uses a mobile augmented reality system and aerial photographs, and a tracking methodology that compares the 3D model with a video image. Instead of relying on models which are created in advance, the system generates a 3D model for a real building on the fly by combining frontal and aerial views. A user's initial pose is estimated using an aerial photograph, which is retrieved from a database according to the user's GPS coordinates, and an inertial sensor which measures pitch. We detect edges of the rooftop based on Graph cut, and find edges and a corner of the bottom by minimizing the proposed cost function. To track the user's position and orientation in real-time, feature-based tracking is carried out based on salient points on the edges and the sides of a building the user is keeping in view. We implemented camera pose estimators using both a least squares estimator and an unscented Kalman filter (UKF). We evaluated the speed and accuracy of both approaches, and we demonstrated the usefulness of our computations as important building blocks for an Anywhere Augmentation scenario.

• Journal of the Korean Society for Library and Information Science
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• v.52 no.1
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• pp.259-283
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• 2018

This research aims at understanding the differences between expert and general users' perceptions regarding publication preferences for Korean classics collations and translations in order to formulate future directions for these materials. For this purpose, an overview of changes in publishing in general as well as current status of collation/translation of Korean classics in particular are being identified. An online questionnaire was carried out in order to collect data regarding perceptions and preferences of expert users and general users of Korean classics. The results are based on the analyses of more than 1,000 responses. The analyses show that electronic books will not completely replace printed books and publishing both electronic and printed books in tandem for the time being is most preferable in order to satisfy varying user needs. Statistical analysis shows differences in terms of use value, value from possession, and readability of electronic and printed books in the two groups of users. However, as for the value of preservation by relevant institutions, there was a statistical difference between two groups towards printed books unlike their electronic equivalents. The research shows strong preference towards printed forms of classics collations and translations for the purpose of scholarly research and translation. Actual usage statistics reveal much heavy use of online database of classics translations compared to the use of available electronic books. For future publishing decisions for classics collations and translations will need to take into consideration of their special characteristics and symbolic nature. Proper representation of these materials into electronic format would require a standardized platform that enable various uses in different environments.