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Analysis of the Housewives' Awareness and Demands on Livestock Products HACCP System (주부 대상의 축산물 HACCP 인지도 및 요구도 분석)

  • Beak, Jin-Kyung
    • Journal of the FoodService Safety
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    • v.2 no.1
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    • pp.10-21
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    • 2021
  • According to the analysis which investigated visitors of HACCP system certified stores and non-visitors of such stores on the awareness of HACCP for livestock products, 77.1% (246 pollees) heard of HACCP certification for livestock products, 67.1% (214 pollees) had seen the HACCP certification mark for livestock products, 62.1% (198 pollees) heard of HACCP certification for livestock products in meet retail shops, and 51.4% (164 pollees) were not aware of the recent TV · subway advertisements regarding HACCP certification for livestock products. For every questionnaire on the awareness of HACCP for livestock products, visitors of HACCP system certified stores showed significantly higher response rate than nonvisitors (p<0.01, p<0.001). The majority of pollees (74.9%, 239 pollees) replied that the word HACCP for livestock products brings up the image of safe livestock products, and 37.0% answered that the term HACCP defines 'Hazard analysis critical control point'. Regarding the questions on HACCP system for livestock products, 38.6% showed that they were most curious in terms of the benefits of such system. The demand analysis on HACCP for livestock products for consumer was also conducted. In the analysis, the demand for support of the policy (4.06 points) was higher than demand for education · public promotion of HACCP (4.03 points) and demand for related application (3.90 points).

An Automatic Approach for the Recommendation of Bug Report Priority Based on the Stack Trace (Stack Trace 기반 Bug report 우선순위 자동 추천 접근 방안)

  • Lee, JeongHoon;kim, Taeyoung;Choi, Jiwon;Kim, SunTae;Ryu, Duksan
    • Proceedings of the Korea Information Processing Society Conference
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    • 2020.11a
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    • pp.866-869
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    • 2020
  • 소프트웨어 개발 환경이 빠르게 변화함에 따라 시스템의 복잡성이 증가하고 있다. 이에 따라 크고 작은 소프트웨어의 버그를 피할 수 없게 되며 이를 효율적으로 처리하기 위해 Bug report 를 사용한다. 하지만, Bug report 에서 개발자가 해당 Bug report 의 우선순위를 결정하는 과정은 노력과 비용 그리고 시간을 많이 소모하게 만든다. 따라서, 본 논문에서는 Bug report 내의 Stack trace 를 기반으로 Bug 의 우선순위를 자동적으로 추천하는 기법을 제안한다. 이를 위해 본 연구에서는 첫 번째로 Bug report 로부터 Stack trace 를 추출하였으며 Stack trace 의 3 가지 요소(Exception, Reason 그리고 Stack frame)에 TF-IDF, Word2Vec 그리고 Stack overflow 를 사용하여 특징 벡터를 정의하였다. 그리고 Bug 의 우선순위 추천 모델을 생성하기 위해 4 가지의 Classification 알고리즘을(Random Forest, Decision Tree, XGBoost, SVM)을 적용하였다. 평가에서는 266,292 개의 JDK library 의 Bug report 데이터를 수집하였고 그중 Stack trace 를 가진 Bug report 로부터 68%의 정확도를 산출하였다.

Global Big Data Analysis Exploring the Determinants of Application Ratings: Evidence from the Google Play Store

  • Seo, Min-Kyo;Yang, Oh-Suk;Yang, Yoon-Ho
    • Journal of Korea Trade
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    • v.24 no.7
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    • pp.1-28
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    • 2020
  • Purpose - This paper empirically investigates the predictors and main determinants of consumers' ratings of mobile applications in the Google Play Store. Using a linear and nonlinear model comparison to identify the function of users' review, in determining application rating across countries, this study estimates the direct effects of users' reviews on the application rating. In addition, extending our modelling into a sentimental analysis, this paper also aims to explore the effects of review polarity and subjectivity on the application rating, followed by an examination of the moderating effect of user reviews on the polarity-rating and subjectivity-rating relationships. Design/methodology - Our empirical model considers nonlinear association as well as linear causality between features and targets. This study employs competing theoretical frameworks - multiple regression, decision-tree and neural network models - to identify the predictors and main determinants of app ratings, using data from the Google Play Store. Using a cross-validation method, our analysis investigates the direct and moderating effects of predictors and main determinants of application ratings in a global app market. Findings - The main findings of this study can be summarized as follows: the number of user's review is positively associated with the ratings of a given app and it positively moderates the polarity-rating relationship. Applying the review polarity measured by a sentimental analysis to the modelling, it was found that the polarity is not significantly associated with the rating. This result best applies to the function of both positive and negative reviews in playing a word-of-mouth role, as well as serving as a channel for communication, leading to product innovation. Originality/value - Applying a proxy measured by binomial figures, previous studies have predominantly focused on positive and negative sentiment in examining the determinants of app ratings, assuming that they are significantly associated. Given the constraints to measurement of sentiment in current research, this paper employs sentimental analysis to measure the real integer for users' polarity and subjectivity. This paper also seeks to compare the suitability of three distinct models - linear regression, decision-tree and neural network models. Although a comparison between methodologies has long been considered important to the empirical approach, it has hitherto been underexplored in studies on the app market.

The Royal and Sajik Tree of Joseon Dynasty, the Culturo-social Forestry, and Cultural Sustainability (근세조선의 왕목-사직수, 문화사회적 임업, 그리고 문화적 지속가능성)

  • Yi, Cheong-Ho;Chun, Young Woo
    • Journal of Korean Society of Forest Science
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    • v.98 no.1
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    • pp.66-81
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    • 2009
  • From a new perspective of "humans and the culture of forming and conserving the environment", the sustainable forest management can be reformulated under the concept of "cultural sustainability". Cultural sustainability is based on the emphasis of the high contribution to sustainability of the culture of forming and conserving the environment. This study extracts the implications to cultural sustainability for the modern world by investigating a historical case of the culturo-social pine forestry in the Joseon period of Korea. In the legendary and recorded acts by the first king Taejo, Seonggye Yi, Korean red pine (Pinus densiflora) was the "Royal tree" of Joseon and also the "Sajik tree" related intimately with the Great Sajik Ritual valued as the top rank within the national ritual regime that sustained the Royal Virtue Politics in Confucian political ideology. Into the Neo-Confucian faith and royal rituals of Joseon, elements of geomancy (Feng shui), folk religion, and Buddhism had been amalgamated. The deities worshipped or revered at the Sajik shrine were Earth-god (Sa) and crop-god (Jik). And it is the Earth god and the concrete entity, Sajik tree, that contains the legacy of sylvan religion descended from the ancient times and had been incorporated into the Confucian faith and ritual regime. Korean red pine as the Royal-Sajik tree played a critical role of sustaining the religio-political justification for the rule of the Joseon's Royalty. The religio-political symbolism of Korean red pine was represented in diverse ways. The same pine was used as the timber material of shrine buildings established for the national rituals under Neo-Confucian faith by the royal court of Joseon kingdom before the modern Korea. The symbolic role of pine had also been expressed in the forms of royal tomb forests, the Imposition Forest (Bongsan) for royal coffin timber (Whangjangmok), and the creation, protection, conservation and bureaucratic management of the pine forests in the Inner-four and Outer-four mountains for the capital fortress at Seoul, where the king and his family inhabit. The religio-political management system of pine forests parallels well with the kingdom's economic forest management system, called "Pine Policy", with an array of pine cultivation forests and Prohibition Forests (Geumsan) in the earlier period, and that of Imposition Forests in the later period. The royal pine culture with the economic forest management system had influenced on the public consciousness and the common people seem to have coined Malrimgat, a pure Korean word that is interchangeable with the Chinesecharacter words of prohibition-cultivation land or forest (禁養地, 禁養林) practiced in the royal tomb forests, and Prohibition and Imposition Forests, which contained prohibition landmarks (Geumpyo) made of stone and rock on the boundaries. A culturo-social forestry, in which Sajik altar, royal tomb forests, Whangjang pine Prohibition and Imposition forests and the capital Inner-four and Outer-four mountain forests consist, was being put into practice in Joseon. In Joseon dynastry, the Neo-Confucian faith and royal rituals with geomancy, folk religion, and Buddhism incorporated has also played a critical humanistic role for the culturo-social pine forestry, the one higher in values than that of the economic pine forestry. The implications have been extracted from the historical case study on the Royal-Sajik tree and culturo-social forestry of Joseon : Cultural sustainability, in which the interaction between humans and environment maintains a long-term culturo-natural equilibrium or balance for many generations, emphasizes the importance that the modern humans who form and conserve environment need to rediscover and transform their culturo-natural legacy into conservation for many generations and produce knowledge of sustainability science, the transdisciplinary knowledge for the interaction between environment and humans, which fulfills the cultural, social and spiritual needs.

A Study on the Graphic Contents of Hyuk-Wha in the late Chosun Dynasty (조선후기 혁화의 그래픽 콘텐츠 연구)

  • 이명구;남인복
    • Archives of design research
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    • v.16 no.4
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    • pp.37-46
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    • 2003
  • About 18th century in the late Chosun dynasty, various kinds of 'Min-Wha' had played a significant role and had an important meaning in the lives of the people in that period. Therefore, both in material and in technique, so many diversified 'Min-Wha' were mass produced in that time. Starting from those backgrounds, 'Hyuk-Wha', is considered as one of unique style of expression. Though, 'Hyuk-Wha', in techniques, was originated from 'Bibaekseo' classified as one of the style of expression in Oriental drawing and writing art. 'Hyuk-Wha' shows and expresses visual differentiation from rough 'Bibaekseo', in substance, written by brush made from the skin of a willow tree or the stem of a sort of reeds. 'Hyuk-Wha', in mode, has very dose relation to the process of the development of 'Min-Wha'. Judging from this point of view, 'Hyuk-Wha' has deep relationship to Taosmic character painting of 'Gilsang: an auspicious sign' or Confucian character painting of 'Hyojae: filial piety. Accordingly, 'Hyuk-Wha' has been developed to that character painting designed by another type of creative differentiations. For these reasons, 'Hyuk-Wha' which significantly shapes and contains the meanings of Chinese Character also has been esteemed to have interrelation with Pictography in application of Word mark or Brand logotype in graphic areas. 'Hyuk-Wha' which was prevalent in use of home decorations for the people existed in the past has been ceased to exist nowadays in use of home decorations by appearance of all sort of decoration articles. All these days, 'Hyuk-Wha' which was diversified as a part 'Min-Wha' and developed together with oriental drawing and writing art and character painting is to be necessarily relighted. And 'Hyuk-Wha', which is also vigorously in practical application in Western Europe is desirable to be reconsidered.

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Korean Dependency Parsing Using Stack-Pointer Networks and Subtree Information (스택-포인터 네트워크와 부분 트리 정보를 이용한 한국어 의존 구문 분석)

  • Choi, Yong-Seok;Lee, Kong Joo
    • KIPS Transactions on Software and Data Engineering
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    • v.10 no.6
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    • pp.235-242
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    • 2021
  • In this work, we develop a Korean dependency parser based on a stack-pointer network that consists of a pointer network and an internal stack. The parser has an encoder and decoder and builds a dependency tree for an input sentence in a depth-first manner. The encoder of the parser encodes an input sentence, and the decoder selects a child for the word at the top of the stack at each step. Since the parser has the internal stack where a search path is stored, the parser can utilize information of previously derived subtrees when selecting a child node. Previous studies used only a grandparent and the most recently visited sibling without considering a subtree structure. In this paper, we introduce graph attention networks that can represent a previously derived subtree. Then we modify our parser based on the stack-pointer network to utilize subtree information produced by the graph attention networks. After training the dependency parser using Sejong and Everyone's corpus, we evaluate the parser's performance. Experimental results show that the proposed parser achieves better performance than the previous approaches at sentence-level accuracies when adopting 2-depth graph attention networks.

A Phoneme-based Approximate String Searching System for Restricted Korean Character Input Environments (제한된 한글 입력환경을 위한 음소기반 근사 문자열 검색 시스템)

  • Yoon, Tai-Jin;Cho, Hwan-Gue;Chung, Woo-Keun
    • Journal of KIISE:Software and Applications
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    • v.37 no.10
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    • pp.788-801
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    • 2010
  • Advancing of mobile device is remarkable, so the research on mobile input device is getting more important issue. There are lots of input devices such as keypad, QWERTY keypad, touch and speech recognizer, but they are not as convenient as typical keyboard-based desktop input devices so input strings usually contain many typing errors. These input errors are not trouble with communication among person, but it has very critical problem with searching in database, such as dictionary and address book, we can not obtain correct results. Especially, Hangeul has more than 10,000 different characters because one Hangeul character is made by combination of consonants and vowels, frequency of error is higher than English. Generally, suffix tree is the most widely used data structure to deal with errors of query, but it is not enough for variety errors. In this paper, we propose fast approximate Korean word searching system, which allows variety typing errors. This system includes several algorithms for applying general approximate string searching to Hangeul. And we present profanity filters by using proposed system. This system filters over than 90% of coined profanities.

A Study on Regression Class Generation of MLLR Adaptation Using State Level Sharing (상태레벨 공유를 이용한 MLLR 적응화의 회귀클래스 생성에 관한 연구)

  • 오세진;성우창;김광동;노덕규;송민규;정현열
    • The Journal of the Acoustical Society of Korea
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    • v.22 no.8
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    • pp.727-739
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    • 2003
  • In this paper, we propose a generation method of regression classes for adaptation in the HM-Net (Hidden Markov Network) system. The MLLR (Maximum Likelihood Linear Regression) adaptation approach is applied to the HM-Net speech recognition system for expressing the characteristics of speaker effectively and the use of HM-Net in various tasks. For the state level sharing, the context domain state splitting of PDT-SSS (Phonetic Decision Tree-based Successive State Splitting) algorithm, which has the contextual and time domain clustering, is adopted. In each state of contextual domain, the desired phoneme classes are determined by splitting the context information (classes) including target speaker's speech data. The number of adaptation parameters, such as means and variances, is autonomously controlled by contextual domain state splitting of PDT-SSS, depending on the context information and the amount of adaptation utterances from a new speaker. The experiments are performed to verify the effectiveness of the proposed method on the KLE (The center for Korean Language Engineering) 452 data and YNU (Yeungnam Dniv) 200 data. The experimental results show that the accuracies of phone, word, and sentence recognition system increased by 34∼37%, 9%, and 20%, respectively, Compared with performance according to the length of adaptation utterances, the performance are also significantly improved even in short adaptation utterances. Therefore, we can argue that the proposed regression class method is well applied to HM-Net speech recognition system employing MLLR speaker adaptation.

An analysis of the signaling effect of FOMC statements (미 연준 통화정책방향 의결문의 시그널링 효과 분석)

  • Woo, Shinwook;Chang, Youngjae
    • The Korean Journal of Applied Statistics
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    • v.33 no.3
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    • pp.321-334
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    • 2020
  • The US Federal Reserve (Fed) has decided to cut interest rates. When we look at the expression of the FOMC statements at the time of policy change period we can understand that Fed has been communicating with markets through a change of word selection. However, there is a criticism that the method of analyzing the expression of the decision sentence through the context can be subjective and limited in qualitative analysis. In this paper, we evaluate the signaling effect of FOMC statements based on previous research. We analyze decision making characteristics from the viewpoint of text mining and try to predict future policy trend changes by capturing changes in expressions between statements. For this purpose, a decision tree and neural network models are used. As a result of the analysis, it can be judged that the discrepancy indicators between statements could be used to predict the policy change in the future and that the US Federal Reserve has systematically implemented policy signaling through the policy statements.

Medical Services Specialization strategies of the Regional Public Hospital through Customer Segmentation (고객세분화를 통한 지방의료원의 의료서비스 전문화 전략)

  • Lee, Jin-Woo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.7
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    • pp.4641-4650
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    • 2015
  • This study aims to further strengthen the medical expertise to offer specialized medical care specialization strategies to gain a competitive edge through the customer segmentation of the Regional Public Hospital. Investigation period was selected to study the inpatients 26,658 people January to December 2013. The method of analysis are Cluster analysis and Decision Tree Analysis. In conclusion, female, age over 60, and diseases in musculoskeletal system and connective tissue were commonly selected as identifiers of the target market of Regional Public Hospital. Customers in this target market are loyal to specialized medical service and keeping continuous relationship with these customers through communication and monitoring of results of provided medical service would be important because the effect of word of mouth propagated to other group of customers having equivalent scale of consumption is expected. And the concentration of the scope of medical service of Regional Public Hospital and the collaboration and mutual reliance of medical service under the strategic alliance with other institutions and private hospitals are also needed.