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Evaluation of Impacted Maxillary Canine Position Using Panoramic Radiographs and Cone-beam Computed Tomography (파노라마 방사선사진과 CBCT를 이용한 매복 상악 견치의 위치 평가)

  • Daeyoung, Hwang;Namki, Choi;Seonmi, Kim
    • Journal of the korean academy of Pediatric Dentistry
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    • v.49 no.4
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    • pp.442-452
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    • 2022
  • The purpose of this study was to compare the mesio-distal and vertical position of impacted maxillary canines on panoramic radiographs with the labio-palatal position of impacted canines and root resorption of adjacent teeth on CBCT (Cone-Beam Computed Tomography). A total of 54 patients with 69 impacted maxillary canines were included in this study. On panoramic radiographs, the mesio-distal (Sector I - V), and vertical position, and angulation of impacted maxillary canines were evaluated. Labio-palatal position and root resorption of adjacent teeth were evaluated on CBCT. Labial impaction of canines was most frequent in panoramic sector I. Impaction within the arch was most frequent in sector I and II. Palatal impaction was most frequent in sector III, IV, and V. Mesially positioned canines on panoramic radiographs tended to be palatally impacted. Most of the root resorption of adjacent teeth occurred in sector III, IV, and V (p < 0.05). Canines with low angulation on panoramic radiographs tended to be palatally impacted and resorb the roots of adjacent teeth. The vertical position of impacted canines on panoramic radiographs was not statistically significant with respect to labio-palatal position and root resorption of adjacent teeth on CBCT. Analysis of the mesio-distal position and angulation of impacted maxillary canines on panoramic radiographs can be used to predict the labio-palatal position of impacted canines and root resorption of adjacent teeth.

Kinetic Modeling for Predicting the Quality of Squid (Todarodes pacificus) during Storage and Distribution (저장유통 조건에 따른 오징어 품질예측 모델링)

  • Kim, So-i;Shin, Jiyoung;Kim, Hyunsuk;Yang, Ji-young
    • Journal of Food Hygiene and Safety
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    • v.37 no.3
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    • pp.173-180
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    • 2022
  • There are a number of methods to evaluate the quality of squid. However, when purchasing the fish, consumers and retails rely only on the sensory test and flavor in the field. Therefore, this study was aimed to prove relationship between scientific indicator and sensory test. Total viable cell count (TVC), viable cell count of Pseudomonas spp., pH and volatile basic nitrogen (VBN) were selected as scientific indicators and mesured during the storage of squid at different temperature. The squid was storaged at 3 different temperature (5℃, 15℃, 20℃). Off flavor determination time was measured by R-index, and kinetic modeling was conducted. Activation energies of off-flavor determination time, TVC, Pseudomonas spp, VBN, and pH were 51.210 kJ/mol, 42.88 kJ/mol, 50.283 kJ/mol, 72.594 kJ/mol and 41.99 kJ/mol respectively. Activation energy of off-flavor determination time was approximated to viable cell count of Pseudomonas spp., TVC, pH and VBN as an order. Especially, viable cell count of Pseudomonas spp. had best match of the activation energy. Therefore, it was judged that indicator of off-flavor determine time was viable cell count of Pseudomonas spp..

The Preliminary Study on Driver's Brain Activation during Take Over Request of Conditional Autonomous Vehicle (조건부 자율주행에서 제어권 전환 시 운전자의 뇌 활성도에 관한 예비연구)

  • Hong, Daye;Kim, Somin;Kim, Kwanguk
    • Journal of the Korea Computer Graphics Society
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    • v.28 no.3
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    • pp.101-111
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    • 2022
  • Conditional autonomous vehicles should hand over control to the driver according on driving situations. However, if the driver is immersed in a non-driving task, the driver may not be able to make suitable decisions. Previous studies have confirmed that the cues enhance take-over performance with a directional information on driving. However, studies on the effect of take-over cues on the driver's brain activities are rigorously investigated yet. Therefore, this study we evaluates the driver's brain activity according to the take-over cue. A total of 25 participants evaluated the take-over performance using a driving simulator. Brain activity was evaluated by functional near-infrared spectroscopy, which measures brain activity through changes in oxidized hemoglobin concentration in the blood. It evaluates the activation of the prefrontal cortex (PFC) in the brain region. As a result, it was confirmed that the driver's PFC was activated in the presence of the cue so that the driver could stably control the vehicle. Since this study results confirmed that the effect of the cue on the driver's brain activity, and it is expected to contribute to the study of take-over performance on biomakers in conditional autonomous driving in future.

A multi-channel CNN based online review helpfulness prediction model (Multi-channel CNN 기반 온라인 리뷰 유용성 예측 모델 개발에 관한 연구)

  • Li, Xinzhe;Yun, Hyorim;Li, Qinglong;Kim, Jaekyeong
    • Journal of Intelligence and Information Systems
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    • v.28 no.2
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    • pp.171-189
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    • 2022
  • Online reviews play an essential role in the consumer's purchasing decision-making process, and thus, providing helpful and reliable reviews is essential to consumers. Previous online review helpfulness prediction studies mainly predicted review helpfulness based on the consistency of text and rating information of online reviews. However, there is a limitation in that representation capacity or review text and rating interaction. We propose a CNN-RHP model that effectively learns the interaction between review text and rating information to improve the limitations of previous studies. Multi-channel CNNs were applied to extract the semantic representation of the review text. We also converted rating into independent high-dimensional embedding vectors representing the same dimension as the text vector. The consistency between the review text and the rating information is learned based on element-wise operations between the review text and the star rating vector. To evaluate the performance of the proposed CNN-RHP model in this study, we used online reviews collected from Amazom.com. Experimental results show that the CNN-RHP model indicates excellent performance compared to several benchmark models. The results of this study can provide practical implications when providing services related to review helpfulness on online e-commerce platforms.

A Study on the Pre-Service Elementary Teachers' Lesson Plans for Math Underachievers with Hypothetical Learning Trajectories and Universal Design for Learning (느리게 배우는 학습자를 위한 초등예비교사의 수학수업 설계)

  • Cho, Mi Kyung
    • Communications of Mathematical Education
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    • v.36 no.2
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    • pp.287-311
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    • 2022
  • This study was related to the cases in which pre-service elementary teachers designed math lessons tailored to math underachievers with learning trajectories and universal design for learning. Learning trajectories can be a basis to identify students' current state of understanding and development, and make a lesson plan responsively tailored to underachievers' state. And universal design for learning is a framework that removes potential barriers that may exist in math lessons from the time the lessons are planned, and guides the rich learning environment accessible to all learners. In order to provide an experience of designing math lessons considering the characteristics of math underachievers, this study required pre-service elementary teachers to create learning trajectories and make lesson plans with the principles of universal design for learning. The characteristics of the learning trajectories shown in the lesson plans and the results of applying the principles of universal design for learning were analyzed. By discussing the results, implications were derived regarding the necessity of lesson planning for math underachievers and the development of lesson planning competency of pre-service elementary mathematics teachers in teacher education.

For Accuracy Improvement of High-tech Factory Construction Costs Predictions, Derivation of Correction Factors by Factory Capacity (하이테크 공장 건설 사업비 예측 정확도 향상을 위한 공장 생산량 기반 세부 공사별 보정계수 도출)

  • Choi, Seong Hoon;Kim, Jinchul;Oh, Jae Young;Kwon, Soonwook
    • The Journal of the Korea Contents Association
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    • v.21 no.11
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    • pp.203-212
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    • 2021
  • The high-tech industry, a highly knowledge-intensive industry based on advanced technologies such as electronics, new materials, and IT, is developing rapidly centering on the semiconductor, display, and battery fields. The market size of this industry is continuously increasing, and various challenges are coming forward due to various factors such as changes in the market, changes in demand, and the requirements of the clients. Many strategies are being implemented to advance the start-up time of factories, such as fast-track construction and basic line construction. Therefore, construction of high-tech factory is required to respond to various types of construction plans and early decision making, and an accurate and reliable method of calculating construction costs is needed. In this study the existing construction type was classified into the overall line configuration considering the total production of the factory, and a basic line configuration for quick production start-up. The correction ratio/value for each detailed construction required to calculate the construction cost of the basic line configuration type was derived. Finally, reliability and accuracy were verified by applying the correction ratio suggested in this study to a new high-tech factory construction project.

A Study on Family Support Service for Adoptive Families in terms of Necessity and Role of the Family Center (가족센터(구 건강가정지원센터)의 입양가족 대상 서비스 제공의 필요성과 역할 정립에 관한 연구)

  • Lee, Sunhyung;Bae, Jiyeon
    • Journal of Family Resource Management and Policy Review
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    • v.26 no.2
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    • pp.1-17
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    • 2022
  • This study provides a critical analysis of the Family Center's programs for adoptive families by interviewing employees at these centers and at Adoption Agencies who have experiences with adoption programs. For this study, nine such workers from three separate Family Centers and three such workers from two separate Adoption Agencies have (voluntarily) engaged in in-depth interviews. Major findings from the interviews are that the Family Centers were initially motivated to carry out adoption family programs for three principal reasons: they located many families (in need of adoption family program); potential adoptees were interested in the program; adoption families participated in the pre-existing programs such as Self-help Group and Co-parenting Space. Workers in the study also reported that they approach to an adoption family and their contemplation on ways to provide better services to the adoption families. They don't have any official and formal manual or guidelines from the Government Ministries and offices such as Korean Institute for Healthy Family; as a result, the workers at Family Centers have endeavored to gain connection with Adoption Agencies in hopes of cooperation with them and to improve the services at Family Centers. For benefits of Family Centers as a delivery system, they mentioned nationwide infrastructure, family professional, and arrangement of integrated program for family. For improvements, they listed awareness education based on a thorough consideration of adoptee's varied characteristics, close cooperation with adoption institutions, provision of basic operational manual from Korean Institute for Healthy Family, and governmental efforts to enlarge the consideration pool for families.

Predicting the amount of water shortage during dry seasons using deep neural network with data from RCP scenarios (RCP 시나리오와 다층신경망 모형을 활용한 가뭄시 물부족량 예측)

  • Jang, Ock Jae;Moon, Young Il
    • Journal of Korea Water Resources Association
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    • v.55 no.2
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    • pp.121-133
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    • 2022
  • The drought resulting from insufficient rainfall compared to the amount in an ordinary year can significantly impact a broad area at the same time. Another feature of this disaster is hard to recognize its onset and disappearance. Therefore, a reliable and fast way of predicting both the suffering area and the amount of water shortage from the upcoming drought is a key issue to develop a countermeasure of the disaster. However, the available drought scenarios are about 50 events that have been observed in the past. Due to the limited number of events, it is difficult to predict the water shortage in a case where the pattern of a natural disaster is different from the one in the past. To overcome the limitation, in this study, we applied the four RCP climate change scenarios to the water balance model and the annual amount of water shortage from 360 drought events was estimated. In the following chapter, the deep neural network model was trained with the SPEI values from the RCP scenarios and the amount of water shortage as the input and output, respectively. The trained model in each sub-basin enables us to easily and reliably predict the water shortage with the SPEI values in the past and the predicted meteorological conditions in the upcoming season. It can be helpful for decision-makers to respond to future droughts before their onset.

Analysis of Environmental Sustainability in South Korean Inland Windfarms (한국 육상풍력발전사업의 환경적 지속가능성 평가 연구 - 58개 환경영향평가서 사례에 대한 정량적 분석 -)

  • Jeong, Eunhae
    • Journal of Environmental Impact Assessment
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    • v.31 no.1
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    • pp.47-62
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    • 2022
  • Wind power has been rapidly growing over last decade in the world as well as in South Korea as a feasible renewable energy source. Providing sustainable energy to all while securing environmental sustainability requires evidence based policy making and innovative solutions. Through analysis of 58 cases of South Korean Environmental Impact Assessment (EIA) Report, this paper seeks to identify answers to the following two questions. What are the key characteristics for inland windfarm? Is there a way of measuring environmental sustainability to compare each location to reduce negative environmental impact? Variables related to environmental sustainability of each windfarm case were collected from EIA report and the factor analysis of environmental variables was conducted to calculate the weight for each variable to build environmental sustainability index (ESI) to provide as evidence-based tools for decision making on the location of inland windfarm. 58 cases were categorized as three types 1) Mountain type 2) Ranch Type and 3) Coastal Type depending on their height and degree of naturalness. For analytical research, first, it was successfully calculated environmental sustainability of each windfarm case ranging from 1.04 (#33, Ranch type) to -1.44 (#55, Mountain type). Second, the analysis results showed that ranch type is most environmentally sustainable (Average ESI = 0.4551), followed by coastal type (Ave ESI = 0.3712) and lastly mountain type (Average ESI = -0.3457). These findings are consistent with the previous researches on inland windfarms and provides substantive policy implication on the renewable energy policies.

A Study of the Elementary School Teachers' Perception about Problem Situations in Real-Life Context of Subtraction of Natural Numbers (자연수 뺄셈의 실생활 맥락 문제 상황에 대한 초등교사의 인식)

  • Do, Joowon
    • Education of Primary School Mathematics
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    • v.25 no.2
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    • pp.197-211
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    • 2022
  • In this study, we tried to find a way to improve the pedagogical decision-making practices related to the presentation order of 'large number' and 'small number' in problem situations of subtraction of the natural number. For this purpose, the elementary school teachers' perception about problem situations in real-life context of subtraction of natural numbers was investigated, and the collected data were analyzed qualitatively and quantitatively to identify teachers' pedagogical perceptions. As a result of this study, it was confirmed the need for consideration on how to set up a problem situations in real-life context of subtraction so that students can develop their ability to solve various types of problems. To this end, not only in a problem situation of subtraction where you have to think of 'large number' first and 'small number' later, but also about the introduction of problem situations in real-life context of subtraction in which you think about 'small number' first and 'large number' later, which often appears in real-life. You will need to recognize the need. And you should have a pedagogical view on this. The results of this study will be able to contribute to the preparation of pedagogical method that can expand the understanding of various problem situations where subtraction is applied from the lower grades of elementary school.