• Title/Summary/Keyword: Conversation Frequency

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A Model for Teaching Film Literacy through Movie English (영화영어를 통한 영화리터러시 교육방안)

  • Seo, Ji-Young
    • The Journal of the Korea Contents Association
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    • v.21 no.6
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    • pp.779-790
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    • 2021
  • Film literacy comprises the process of producing a new creation through understanding the elements that make up a film, the content of a film, and a critical and creative thinking process. Film literacy is employed in fields such as composition, science, social studies, and geography, and, additionally, it is used to cultivate humanities literacy and critical thinking skills. Yet despite the large proportion of the film script in the movie, it is not easy to find literacy education cases that use film English as a teaching method. Film English is a practical and authentic material, and is suitable as an English learning material in an EFL context like Korea. However, the approach of using films to teach and learn differs according to the content and genre of a film. Thus, the teacher may have a difficult time organizing and preparing for class. This study suggests six class activities that can be commonly applied to English classes using films based on the areas of critical, cultural, and creative (3Cs) activities. Four hundred and five college students taking Movie English classes participated in the present study and frequency analysis was conducted to find out their preferences through a questionnaire survey. The results from conducting class activities in university liberal arts classes suggest that the most preferred activities of students are related to cultural, critical, and creative, in that order. Creative activities that are far beyond English instruction utilizing various digital tools or providing additional reading materials can be a burden on learners.

Cyber Threats Analysis of AI Voice Recognition-based Services with Automatic Speaker Verification (화자식별 기반의 AI 음성인식 서비스에 대한 사이버 위협 분석)

  • Hong, Chunho;Cho, Youngho
    • Journal of Internet Computing and Services
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    • v.22 no.6
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    • pp.33-40
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    • 2021
  • Automatic Speech Recognition(ASR) is a technology that analyzes human speech sound into speech signals and then automatically converts them into character strings that can be understandable by human. Speech recognition technology has evolved from the basic level of recognizing a single word to the advanced level of recognizing sentences consisting of multiple words. In real-time voice conversation, the high recognition rate improves the convenience of natural information delivery and expands the scope of voice-based applications. On the other hand, with the active application of speech recognition technology, concerns about related cyber attacks and threats are also increasing. According to the existing studies, researches on the technology development itself, such as the design of the Automatic Speaker Verification(ASV) technique and improvement of accuracy, are being actively conducted. However, there are not many analysis studies of attacks and threats in depth and variety. In this study, we propose a cyber attack model that bypasses voice authentication by simply manipulating voice frequency and voice speed for AI voice recognition service equipped with automated identification technology and analyze cyber threats by conducting extensive experiments on the automated identification system of commercial smartphones. Through this, we intend to inform the seriousness of the related cyber threats and raise interests in research on effective countermeasures.

Analysis of Horticultural Activities in the Teacher's Guidebooks of Nuri Curriculum for 5-Year-Olds

  • Choi, Byung Jin;Jeong, Yeo Jin;Kim, Mi Jin;Yun, Suk Young
    • Journal of People, Plants, and Environment
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    • v.23 no.2
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    • pp.211-220
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    • 2020
  • The purpose of this study was to analyze the frequency and contents of horticultural activities in 696 individual activities listed in 11 teacher's guidebooks of Nuri Curriculum for 5-year-olds, and to find out the perceptions of horticultural activities in the formal curriculum. The target horticultural activities that were selected were those using natural objects like potted plants, water, wind, soil, stones, etc. as the topic or subject of activities, and those with different topics but are mentioning plants or natural objects as an example at least twice. The 150 selected horticultural activities were classified by life-based theme, activity type, activity domain, and medium. As a result of examining horticultural activities by life-based theme, there were 150 horticultural activities (21.55%): 40 in Spring, Summer, Autumn and Winter (5.75%), 34 in Animals, Plants, and Nature (4.89%), 22 in Environment and Life (3.16%), 19 in Our Country (2.73%), and nine in Our Neighborhood (1.29%), nine in Various Countries of the World (1.29%), four in Health and Safety (0.57%), four in Living tools (0.57%), four in Transportation (0.57%), three in Kindergarten and Friends (0.43%), two in Me and My Family (0.29%; χ2=130.427, p < .001). As a result of examining horticultural activities by activity type, there were 61 free choice activities (40.67%), 80 large and small group activities (53.33%), and nine outdoor play activities (6.00%), indicating that outdoor play was the fewest activity type (χ2=54.040, p < .001). The results of analyzing horticultural activities by activity domain showed that there were 25 in conversation (16.67%), 19 in science (12.50%), 14 in art (9.33%), 14 in cooking (9.33%), 10 in fairy tales (6.00%), nine in music (6.00%), eight in language (5.33%), eight in number operation (5.33%), eight in others (5.33%), six in children's plays (4.0%), six in games (4.0%), four in body and movement (2.67%), three in stacking (2.00%), three in roles (2.00%), three in rhythm (2.00%), two in children's poems (1.33%), two in field experience (1.33%) and one in outside play (0.67%; χ2=87.600, p < .001). As a result of examining the mediums used in the horticultural activities, 46 activities (30.67%) directly used plants as the mediums, 11 activities (7.33%) used soil such as stones, gravel, and earth as the mediums instead of plants, four activities (2.67%) used dry plants such as branches and dry leaves as the mediums, and 89 activities (59.33%) used videos, photos of plants, and pictures of plants as the mediums (χ2=121.307, p < .001).

Development of Agent-based Platform for Coordinated Scheduling in Global Supply Chain (글로벌 공급사슬에서 경쟁협력 스케줄링을 위한 에이전트 기반 플랫폼 구축)

  • Lee, Jung-Seung;Choi, Seong-Woo
    • Journal of Intelligence and Information Systems
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    • v.17 no.4
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    • pp.213-226
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    • 2011
  • In global supply chain, the scheduling problems of large products such as ships, airplanes, space shuttles, assembled constructions, and/or automobiles are complicated by nature. New scheduling systems are often developed in order to reduce inherent computational complexity. As a result, a problem can be decomposed into small sub-problems, problems that contain independently small scheduling systems integrating into the initial problem. As one of the authors experienced, DAS (Daewoo Shipbuilding Scheduling System) has adopted a two-layered hierarchical architecture. In the hierarchical architecture, individual scheduling systems composed of a high-level dock scheduler, DAS-ERECT and low-level assembly plant schedulers, DAS-PBS, DAS-3DS, DAS-NPS, and DAS-A7 try to search the best schedules under their own constraints. Moreover, the steep growth of communication technology and logistics enables it to introduce distributed multi-nation production plants by which different parts are produced by designated plants. Therefore vertical and lateral coordination among decomposed scheduling systems is necessary. No standard coordination mechanism of multiple scheduling systems exists, even though there are various scheduling systems existing in the area of scheduling research. Previous research regarding the coordination mechanism has mainly focused on external conversation without capacity model. Prior research has heavily focuses on agent-based coordination in the area of agent research. Yet, no scheduling domain has been developed. Previous research regarding the agent-based scheduling has paid its ample attention to internal coordination of scheduling process, a process that has not been efficient. In this study, we suggest a general framework for agent-based coordination of multiple scheduling systems in global supply chain. The purpose of this study was to design a standard coordination mechanism. To do so, we first define an individual scheduling agent responsible for their own plants and a meta-level coordination agent involved with each individual scheduling agent. We then suggest variables and values describing the individual scheduling agent and meta-level coordination agent. These variables and values are represented by Backus-Naur Form. Second, we suggest scheduling agent communication protocols for each scheduling agent topology classified into the system architectures, existence or nonexistence of coordinator, and directions of coordination. If there was a coordinating agent, an individual scheduling agent could communicate with another individual agent indirectly through the coordinator. On the other hand, if there was not any coordinating agent existing, an individual scheduling agent should communicate with another individual agent directly. To apply agent communication language specifically to the scheduling coordination domain, we had to additionally define an inner language, a language that suitably expresses scheduling coordination. A scheduling agent communication language is devised for the communication among agents independent of domain. We adopt three message layers which are ACL layer, scheduling coordination layer, and industry-specific layer. The ACL layer is a domain independent outer language layer. The scheduling coordination layer has terms necessary for scheduling coordination. The industry-specific layer expresses the industry specification. Third, in order to improve the efficiency of communication among scheduling agents and avoid possible infinite loops, we suggest a look-ahead load balancing model which supports to monitor participating agents and to analyze the status of the agents. To build the look-ahead load balancing model, the status of participating agents should be monitored. Most of all, the amount of sharing information should be considered. If complete information is collected, updating and maintenance cost of sharing information will be increasing although the frequency of communication will be decreasing. Therefore the level of detail and updating period of sharing information should be decided contingently. By means of this standard coordination mechanism, we can easily model coordination processes of multiple scheduling systems into supply chain. Finally, we apply this mechanism to shipbuilding domain and develop a prototype system which consists of a dock-scheduling agent, four assembly- plant-scheduling agents, and a meta-level coordination agent. A series of experiments using the real world data are used to empirically examine this mechanism. The results of this study show that the effect of agent-based platform on coordinated scheduling is evident in terms of the number of tardy jobs, tardiness, and makespan.

Analysis of Communication of Dental Hygienist in Oral Hygiene Instruction during Scaling (치과위생사의 스케일링시 구강보건교육의 의사소통분석)

  • Kang, Su-Kyung;Bae, Hyun-Sook;Lim, Soon-Ryun
    • Journal of dental hygiene science
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    • v.14 no.4
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    • pp.546-553
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    • 2014
  • The purpose of this study was to investigate the actual condition of communication of dental hygienist in oral hygiene instruction during scaling. The research was intended for 67 dental hygienists who worked dental hospitals and clinics. Oral hygiene instruction during scaling was audiotaped. Pearson correlation analysis, t-test, one-way ANOVA, and chi-squared test were conducted. The results gained by the research were as follows. An analysis of 67 dental hygienists has found that 63 dental hygienists (94%) educated the patients with dentiform and 65 of them (97%) did rolling method. Thirty-three of them (49.3%) recommended oral care products to the patients. Only 14 of all educators (21%) said simple greetings and educated importance of care of subjects' teeth, side effect of scaling, when they finished all the scaling stage. The average time of oral hygiene education was 161.3 seconds. In detail, the dental hygienists told 155.0 seconds, the patients did 6.3 seconds on average. The percentage of education time without patients' comments and dialogue each other were 35.8% and 37.3% respectively. The conversation frequency according to the education level of dental hygienist showed significant difference (p<0.05). There was a negative correlation between total education time and patients coming for scaling per day and there was a positive correlation between total number of questions and patient talking time. The result of chi-squared test showed that there was significant difference on asking regards depending on setting a limitation of scaling time (p<0.05). The research showed that the dental hygienists seem to educate the patients mechanically, uniformly rather than educate them according to their oral hygiene condition.

Automatic Speech Style Recognition Through Sentence Sequencing for Speaker Recognition in Bilateral Dialogue Situations (양자 간 대화 상황에서의 화자인식을 위한 문장 시퀀싱 방법을 통한 자동 말투 인식)

  • Kang, Garam;Kwon, Ohbyung
    • Journal of Intelligence and Information Systems
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    • v.27 no.2
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    • pp.17-32
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    • 2021
  • Speaker recognition is generally divided into speaker identification and speaker verification. Speaker recognition plays an important function in the automatic voice system, and the importance of speaker recognition technology is becoming more prominent as the recent development of portable devices, voice technology, and audio content fields continue to expand. Previous speaker recognition studies have been conducted with the goal of automatically determining who the speaker is based on voice files and improving accuracy. Speech is an important sociolinguistic subject, and it contains very useful information that reveals the speaker's attitude, conversation intention, and personality, and this can be an important clue to speaker recognition. The final ending used in the speaker's speech determines the type of sentence or has functions and information such as the speaker's intention, psychological attitude, or relationship to the listener. The use of the terminating ending has various probabilities depending on the characteristics of the speaker, so the type and distribution of the terminating ending of a specific unidentified speaker will be helpful in recognizing the speaker. However, there have been few studies that considered speech in the existing text-based speaker recognition, and if speech information is added to the speech signal-based speaker recognition technique, the accuracy of speaker recognition can be further improved. Hence, the purpose of this paper is to propose a novel method using speech style expressed as a sentence-final ending to improve the accuracy of Korean speaker recognition. To this end, a method called sentence sequencing that generates vector values by using the type and frequency of the sentence-final ending appearing in the utterance of a specific person is proposed. To evaluate the performance of the proposed method, learning and performance evaluation were conducted with a actual drama script. The method proposed in this study can be used as a means to improve the performance of Korean speech recognition service.