• Journal of Environmental Health Sciences
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• v.47 no.6
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• pp.513-520
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• 2021

Background: Benzalkonium chloride (BKC) has been extensively used as a preservative in industrial products and in hygiene, medical, and cosmetic applications. Humidifier disinfectant (HD) products containing BKC have been used in South Korea. Objectives: This study was aimed to review types of products containing BKC, to summarize the regulations in the US, EU, Japan, and South Korea, and to review the health effects associated with the use of HD. Methods: We reviewed and summarized documents which were searched through PubMed and Google Scholar with the key words: BKC and asthma/contact dermatitis, humidifier disinfectant-associated lung injury (HDLI), and more. Results: Regulations in most countries including South Korea do not allow its use as disinfectants in spray-type of products for medicine, cosmetics, and household products. Two types of HD containing BKC (800~1,270 ppm) were marketed in South Korea from 1996~2003. Health effects reported from people who used products containing BKC were allergic contact dermatitis, erythema, and respiratory disease, including asthma. Two people who responded as HD users containing BKC only were confirmed to have developed asthma. HD-associated lung injury (HDLI) was reported by consumers who used both HD containing polyhexamethylene guanidine (PHMG) and HD containing BKC. Conclusions: In conclusion, the use of BKC as a biocide has to be controlled considering the route and pattern of exposure. Products containing BKC as preservatives were reviewed with exposure routes and sites in the human body such as skin, eyes, and the respiratory tract. HD containing BKC was clinically evaluated to be associated with asthma.

• Genomics & Informatics
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• v.2 no.3
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• pp.131-133
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• 2004

MediScore is an information retrieval system, which helps to search for the set of genes associated with a specific disease or the set of diseases associated with a specific gene. Despite recent improvement of natural language processing (NLP) and other text mining approaches to search for disease associated genes, many false positive results come out due to diversity of exceptional cases as well as ambiguities in gene names. In order to overcome the weak points of current text mining approaches, MediScore introduces statistical normalization based on binomial to normal distribution approximation which corrects inaccurate scores caused by common words not representing genes and interactive rescoring by the user to remove the false positive results. Interactive rescoring includes individual alias scoring for each gene to remove false gene synonyms, referring MEDLINE abstracts, and cross referencing between OMIM and other related information.

• The Journal of the Korea Contents Association
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• v.20 no.3
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• pp.223-234
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• 2020

This research is the association rule analysis using Apriori algorithm of data mining focusing on 32 predictive key words extracted from Hong (2019) affecting successful aging in Korea. And, to examine rules and patterns of those key words or predictive variables, this research used support, confidence, and lift. The data was analyzed with the R version 3. 5. 1 program, and visualized using arulesViz package and visNetwork. It was found that the variables highly associated with successful aging in Korea were 'hobby', 'volunteer service', 'preparation', and 'exercise'. This research concludes that, the variable which needs to be considered first of all for successful aging in Korea is 'hobby', followed by 'volunteer service', 'preparation', and 'exercise'.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.11 no.4
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• pp.238-246
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• 2011

This paper proposes a new semantic representation and its associated similarity measure. The representation expresses textual context observed in a context of a certain term as a network where nodes are terms and edges are the number of cooccurrences between connected terms. To compare terms represented in networks, a graph kernel is adopted as a similarity measure. The proposed representation has two notable merits compared with previous semantic representations. First, it can process polysemous words in a better way than a vector representation. A network of a polysemous term is regarded as a combination of sub-networks that represent senses and the appropriate sub-network is identified by context before compared by the kernel. Second, the representation permits not only words but also senses or contexts to be represented directly from corresponding set of terms. The validity of the representation and its similarity measure is evaluated with two tasks: synonym test and unsupervised word sense disambiguation. The method performed well and could compete with the state-of-the-art unsupervised methods.

• The KIPS Transactions:PartB
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• v.19B no.1
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• pp.37-42
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• 2012

The pseudo relevance feedback suggests that frequent words at the top documents are related to initial query. However, the main drawback associated with the term frequency method is the fact that it relies on feature independence, and disregards any dependencies that may exist between words in the text. In this paper, we propose query expansion based on word graph using term proximity. It supplements term frequency method. On TREC WT10g test collection, experimental results in MAP(Mean Average Precision) show that the proposed method achieved 6.4% improvement over language model.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.11
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• pp.5530-5546
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• 2016

Automatic analysis and understanding of human activities is a challenging task in computer vision, especially for the surveillance scenarios which typically contains crowds, complex motions and occlusions. To address these issues, a Bag-of-words representation of videos is developed by leveraging information including crowd positions, motion directions and velocities. We infer the crowd activity in a motion field using Category Constrained Correlated Topic Model (CC-CTM) with latent topics. We represent each video by a mixture of learned motion patterns, and predict the associated activity by training a SVM classifier. The experiment dataset we constructed are from Crowd_PETS09 bench dataset and UCF_Crowds dataset, including 2000 documents. Experimental results demonstrate that accuracy reaches 90%, and the proposed approach outperforms the state-of-the-arts by a large margin.

• Phonetics and Speech Sciences
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• v.3 no.3
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• pp.69-75
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• 2011

This paper investigates phrase positional effects on the timing of F0 (pitch) peaks in Tokyo Japanese disyllabic words with varying accent type (HL or LH) and phrase position (final or non final). The F0 peak timing was normalized by the total word duration ('normalized H timing'). The normalized H timing was significantly affected by accent type and phrase position. The H timing was later in the LH accent type than in the HL accent type, and in non final positions than in final positions. In addition, to examine the validity of the quantitative results, different models of phrase position effects were compared by measuring H timing in two approaches: normalization versus relative distance measures. For the normalization measures, the H timing was measured as the time of the F0 peak divided by the total word duration or by the duration of the tone bearing syllable. For the relative distance measures, the H timing was measured as the distance in milliseconds from the end of the word or from the end of the associated syllable. The best model was the normalization by the total word duration, rather than by the duration of the tone bearing syllable. This means that phrase positional effects on the timing of F0 peaks in Japanese disyllabic words are best modeled in terms of proportion of the total word duration.

• Speech Sciences
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• v.1
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• pp.7-26
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• 1997

An electromyographic device was used to investigate the relationship between a linguistic hypothesis of tense-lax distinction and muscular activity. Muscle action potentials of the orbicularis oris muscle and the depressor anguli oris muscle were obtained from four subjects using CVCVCV and CVCVC words in English and VCV and CVC words in Korean. Findings: The hypothesis that the speaker may select at least one of muscles involved in the articulation of a phoneme so that the selected muscle could be activated for tense-lax distinction, and either a timing variable or an amplitude variablethe and/or both from the selected muscle distinguish(es) /p/ from /b/ in English and /$p^{h},\;p^{l}$/ from /p/ in Korean, with the English /p/ and the Korean /$p^{h},\;p^{l}$/ being tense, and the Korean unaspirated /p/ and the English /b/ lax, has been verified, except for the case with subject 2 in stressed syllables in English. (2) Thus, the linguistic hypothesis of tense-lax distinction was strongly supported by the muscular activities during the Korean bilabial stops, with /$p^{h}\;and\;p^{l}$/ being tense and /p/ lax. (3) Considering the intermuscle compensation and the interspeaker variabilities in the choice of a muscle or muscles, in English the usability of the feature 'tensity' appeared to be positive rather than negative although further investigations with more subjects remain to take on the muscles associated with the onset/offset of the labial closure, including the respiratory muscles related with the aspiration. The phoneme-sensitive EMG manifestations of stress and possible reasons for the interspeaker variabilities are discussed.

• Asia Pacific Journal of Corpus Research
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• v.3 no.2
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• pp.17-33
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• 2022

While the term is nothing new, 'cybersecurity' still seems to be defined quite loosely and subjectively depending on context. This is problematic especially to legal writers for prosecuting cybercrimes that do not fit a particular clause/act. In fact, what is more difficult is the non-existent single 'cybersecurity law' in Malaysia, rather than the current implementation of 10-related cyber security acts. In this paper, the 10 acts are compiled into a corpus to analyse the language used in these acts via a corpus linguistics approach. A list of frequent words is firstly investigated to see whether the so-called related laws do talk about cybersecurity followed by close inspection of the concordance lines and habitually associated phrases (clusters) to explore use of these words in context. The 'compare 2 wordlist' feature is used to identify similarities or differences between the 10 Malaysian cybersecurity related laws against a corpus of cyber laws from other ASEAN countries. Findings revealed that ASEAN cyber laws refer mostly to three cybersecurity dominant themes identified in the literature: technological solutions, events, and strategies, processes, and methods, whereas Malaysian cybersecurity-related laws revolved around themes like human engagement, and referent objects (of security). Although these so-called cyber related policies and laws in Malaysia are highlighted in the National Cyber Security Agency (NACSA), their practical applications to combat cybercrimes remain uncertain.

• Journal of Korean Ophthalmic Optics Society
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• v.20 no.4
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• pp.415-423
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• 2015

Purpose: We conducted a study on the brand name types of optical shop in the region of Daegu to exploit the data necessary for a new brand naming. Methods: The characteristics of the names including the concept and function, phrasing compositions - whether the names are Korean words, English words or combination of the two, or others, and whether the names are descriptive, allusive or coined, alternative names, and most frequently used names were studied and analyzed. Results: For those in Korean words, the most frequently appeared consonant was 'ㅇ' then 'ㅅ'. In combination words, either in Korean and English combination or others, 57.1% of the names were in Korean, or 32.7% of the names were in English. As for number of syllables, 3 syllables consumed 30.4% and 2 and 4 syllables were in similar proportions of 29.7% and 25.0%, respectively. The proportions of allusive and descriptive names were 17.0% and 13.3%, respectively. As for alternative creation type, the type with combination of words came first, and then use of symbols came second. For other types, there were high number of brand names that contained the names of other business types and names of the districts in which the stores were located. Lastly, the most frequently used keyword was 'eye', which was used 45 times, and then came 'dang' and 'angyeong'. Conclusions: When starting a business and making an appropriate brand name, it must be easy to say and remember as well as meaningful. As such, a brand name for an optical shop should not only be creative, but also be associated with the business and emanate favorable impression.