• Title/Summary/Keyword: Constant potential

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A Study on the Fundamental Properties of Mortar Mixed with Converter Slag and Ferronickel Slag (전로슬래그 및 페로니켈슬래그를 혼입한 모르타르의 기초물성 연구)

  • Kim, Ji-Seok;Park, Eon-Sang;Ann, Ki-Yong;Cho, Won-Jung
    • Journal of the Korean Recycled Construction Resources Institute
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    • v.9 no.2
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    • pp.152-160
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    • 2021
  • Converter steel slag(BOF slag) is a vast amount of solid waste generated in the steelmaking process which has very low utilization rate in Korea. Due to the presence of free CaO which can derive bad volume stability in BOF slag, it usually land filled. For recycling BOF and identify its applicability as fine aggregate, this study investigates the fundamental characteristics of mortar with cement replaced ferronickel slag(FNS), which has the potential to be used as a binder. The results suggest that the mineral phases of BOF slag mainly include larnite(CaSiO4), mayenite(Ca12Al14O33) and wuestite(FeO) while olivine crystallines are shown in FNS. The results of flow and setting time reveals that the flowability and process of hardening increased when the amount of FNS and BOF slag incorporated was increased. The length change shows that the amount of change in the length of the mortar was almost constant regardless of mix proportion while compressive strength was reduced. Micro structure test results revealed that FNS or/and BOF slag mix took a long time to react in the cement matrix to form a complete hydration products. To achieve the efficient utilization of B OF slag as construction materials, proper replacement rate is necessary.

Appropriate level of alfalfa hay in diets for rearing Simmental crossbred calves in dryland China

  • Kobayashi, Nobuyuki;Hou, Fujiang;Tsunekawa, Atsushi;Chen, Xianjiang;Yan, Tianhai;Ichinohe, Toshiyoshi
    • Asian-Australasian Journal of Animal Sciences
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    • v.31 no.12
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    • pp.1881-1889
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    • 2018
  • Objective: In dryland areas of China, alfalfa hay (AH) is a possible substitute for concentrate feed for beef cattle. To evaluate the potential benefits of this substitution, we studied the effect of the ratio of AH intake to total dry matter (DM) intake on average daily body-weight gain (ADG), dietary energy utilization status, and economic benefit in Gansu province. Methods: In each of two feeding trials in 2016 (trial 1 [T1], July 3 to 17; trial 2 [T2], August 15 to September 23), crossbred male Simmental calves were allocated to low AH (LA), medium AH (MA), and high AH (HA) feeding groups (n = 4 per group). The target ADG was set as 1 kg for both trials. In a one-way-layout design based on conventional feeding practices in the province, calves received diets containing the different AH amounts, with a constant ratio of corn stover:total DM and decreasing rations of concentrate feed proportional to the increase in AH. Calves in T1 received AH at 15% (T1-LA), 23% (T1-MA), or 31% (T1-HA) of their dietary DM allowances; those in T2 received 9% (T2-LA), 24% (T2-MA), or 34% (T2-HA) AH. Results: Among the T1 groups, both ADG and economic benefit were highest in T1-LA; whereas in T2, they were higher in the T2-LA and T2-MA groups than in T2-HA. Energy digestibility did not significantly differ among the groups in either trial. The dietary AH inclusion ratios of 14% in the warm season and 8% to 21% in the cool season appeared to yield optimal ADG, metabolizable energy intake, and economic benefit. Conclusion: Low-level inclusion of AH, ranging from 8% to 21%, is a practical approach for beef cattle feeding. This modified feeding regimen likely will promote increased growth performance during the fattening stage of beef steers in dryland areas of Gansu province, China.

Assessment of NATM tunnel lining thickness and its behind state utilizing GPR survey (GPR탐사를 통한 NATM터널(무근)라이닝의 두께 분포 및 배면상태 평가)

  • Choo, Jin-Ho;Yoo, Chang-Kyoon;Oh, Young-Chul;Lee, In-Mo
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.21 no.5
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    • pp.717-733
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    • 2019
  • In this study, lining thickness distribution and its behind state (particularly, its void state) were analyzed using the GPR survey data performed on three currently operating NATM tunnels. Results of GPR analysis showed that void areas were mostly detected between concrete lining and primary support, particularly, near the crown of the tunnels. The lining thickness in the left-hand side of the tunnel was different from that of the right-hand side by 8.6~253.5 mm when measured in transverse direction. It was also found that longitudinal cracks were prevailed in the area lining thickness was sharply changed. Longitudinal thickness distribution at the crown was also studied and tested by performing 3 goodness-of-fit tests in order to find the most suitable thickness distribution. Normal distribution (or similar distribution) fit most suitably to the measured data if the measured average thickness was larger than designed one; Gamma and/or Inverse Gauss distribution fit to the measured data reasonably well if the measured average thickness was less than the designed value of thickness. Since actual lining thickness can be a potential index when assessing the state and safety of the unreinforced NATM tunnel lining, measuring of the lining thickness with GPR survey might be needed rather than assuming the thickness is always constant and same with the designed value.

Hi, KIA! Classifying Emotional States from Wake-up Words Using Machine Learning (Hi, KIA! 기계 학습을 이용한 기동어 기반 감성 분류)

  • Kim, Taesu;Kim, Yeongwoo;Kim, Keunhyeong;Kim, Chul Min;Jun, Hyung Seok;Suk, Hyeon-Jeong
    • Science of Emotion and Sensibility
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    • v.24 no.1
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    • pp.91-104
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    • 2021
  • This study explored users' emotional states identified from the wake-up words -"Hi, KIA!"- using a machine learning algorithm considering the user interface of passenger cars' voice. We targeted four emotional states, namely, excited, angry, desperate, and neutral, and created a total of 12 emotional scenarios in the context of car driving. Nine college students participated and recorded sentences as guided in the visualized scenario. The wake-up words were extracted from whole sentences, resulting in two data sets. We used the soundgen package and svmRadial method of caret package in open source-based R code to collect acoustic features of the recorded voices and performed machine learning-based analysis to determine the predictability of the modeled algorithm. We compared the accuracy of wake-up words (60.19%: 22%~81%) with that of whole sentences (41.51%) for all nine participants in relation to the four emotional categories. Accuracy and sensitivity performance of individual differences were noticeable, while the selected features were relatively constant. This study provides empirical evidence regarding the potential application of the wake-up words in the practice of emotion-driven user experience in communication between users and the artificial intelligence system.

Development of an Algorithm for Predicting the Thermal Distribution by using CT Image and the Specific Absorption Rate

  • Hwang, Jinho;Kim, Aeran;Kim, Jina;Seol, Yunji;Oh, Taegeon;Shin, Jin-sol;Jang, Hong Seok;Kim, Yeon Sil;Choi, Byung Ock;Kang, Young-nam
    • Journal of the Korean Physical Society
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    • v.73 no.10
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    • pp.1584-1588
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    • 2018
  • During hyperthermia therapy, cancer cells are heated to a temperature in the range of $40{\sim}45^{\circ}C$ for a defined time period to damage these cells while keeping healthy tissues at safe temperatures. Prior to hyperthermia therapy, the amount of heat energy transferred to the cancer cells must be predicted. Among various non-invasive methods, the thermal prediction method using the specific absorption rate (SAR) is the most widely used method. The existing methods predict the thermal distribution by using a single constant for the mass density in one organ through assignment. However, because the SAR and the bio heat equation (BHE) vary with the mass density, the mass density of each organ must be accurately considered. In this study, the mass density distribution was calculated using the relationship between the Hounsfield unit and the mass density of tissues in preceding research. The SAR distribution was found using a quasi-static approximation to Maxwell's equation and was used to calculate the potential distribution and the energy distributions for capacitive RF heating. The thermal distribution during exposure to RF waves was determined by solving the BHE with consideration given to the considering contributions of heat conduction and external heating. Compared with reference data for the mass density, our results was within 1%. When the reconstructed temperature distribution was compared to the measured temperature distribution, the difference was within 3%. In this study, the density distribution and the thermal distribution were reconstructed for the agar phantom. Based on these data, we developed an algorithm that could be applied to patients.

Analytical Method of Multi-Preservatives in Cosmetics using High Performance Liquid Chromatography (HPLC 를 이용한 화장품 중 살균보존제 다성분 동시분석법 연구)

  • Min-Jeong, Lee;Seong-Soo, Kim;Yun-Jeong, Lee;Byeong-Chul, Lee
    • Journal of the Society of Cosmetic Scientists of Korea
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    • v.48 no.4
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    • pp.321-330
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    • 2022
  • This study attempted to establish an optimal multi-compound simultaneous analysis method that can secure reliable results for 15 - preservatives, 2 - sun screens and 1 - antioxidants of cosmetics using HPLC-PDA. Since the potential of hydrogen (pH) in the mobile phase affects the acid dissociation constant (pKa) of the preservatives, and the peak retention time shift and area change were observed. The peak separation condition was established by adjusting the pH to 0.1% H3PO4 addition (mL) when preparing the mobile phase. As a results of method validation, the linearity correlation coefficient (R2) of above 0.999 were obtained, and accuracy 87.9 ~ 101.1%, 0.1 ~ 7.6% precision for two types of cosmetics (cream and shampoo). It was found that the limit of detection (LOD) was 0.1 ~ 0.2 mg/kg and the limit of quantitation (LOQ) was 2.0 ~ 4.0 mg/kg. In addition, it was possible to simultaneously separate p-anisic acid, a natural compound that was difficult to separate in HPLC due to the small difference from methylparaben, a synthetic preservatives. Through this study, it will be effectively used to secure quality control and safety for compound that need restrictions on use cosmetics.

Development of Thickness Measurement Method From Concrete Slab Using Ground Penetrating Radar (GPR 기반 콘크리트 슬래브 시공 두께 검측 기법 개발)

  • Lee, Taemin;Kang, Minju;Choi, Minseo;Jung, Sun-Eung;Choi, Hajin
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.26 no.3
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    • pp.39-47
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    • 2022
  • In this paper, we proposed a thickness measurement method of concrete slab using GPR, and the verification of the suggested algorithm was carried out through real-scale experiment. The thickness measurement algorithm developed in this study is to set the relative dielectric constant based on the unique shape of parabola, and time series data can be converted to thickness information. GPR scanning were conducted in four types of slab structure for noise reduction, including finishing mortar, autoclaved lightweight concrete, and noise damping layer. The thickness obtained by GPR was compared with Boring data, and the average error was 1.95 mm. In order to investigate the effect of finishing materials on the slab, additional three types of finishing materials were placed, and the following average error was 1.70 mm. In addition, sampling interval from device, the effect of radius on the shape of parabola, and Boring error were comprehensively discussed. Based on the experimental verification, GPR scanning and the suggested algorithm have a great potential that they can be applied to the thickness measurement of finishing mortar from concrete slab with high accuracy.

Formation of the Digital Generation in a Distance Learning Environment

  • Nataliіa, Levchenko;Nataliia, Sukhostavets;Lesia, Zelman;Alla, Kulichenko;Kseniia, Balabanova
    • International Journal of Computer Science & Network Security
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    • v.22 no.5
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    • pp.335-341
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    • 2022
  • This article is devoted to the study of the process of formation of the digital generation in a distance learning environment. With the introduction of quarantine due to the spread of COVID-19, opponents of digital technologies were forced to turn to relevant resources, while supporters identified new opportunities for the development of didactics and education in general. The irreversibility of the former educational reality became apparent and only the scale of the vision of potential change by interested and disinterested groups differed. Using a comprehensive approach, the authors consider the issues related to the direct and indirect impact of distance learning on children and young people born after the beginning of the XXI century. The article reveals the prerequisites and implications of distance education for the interaction of participants in the educational process. IC technologies during the educational process in the primary grades, in addition to identifying the student's learning deficit, should provide the transmission of non-verbal signals, which are important for children of this age. At the same time in the secondary school IR-technologies are designed to replace frontal learning during the assimilation of knowledge and at the same time not to worsen the quality of the educational process. Formation of students in the HEI takes place in the political science format, constant discussion of problem situations, so the task of introducing IC technology in this process is the accurate transfer of the content of the discussions. Individualization and autonomization of the educational process, its dependence on the results of the choice of educational content, and the use of pedagogical management tools change the philosophy of education for children and youth. The authors conclude that the formation of a digital generation, characterized by an increased level of digital literacy of children and youth, the possession of a certain level of digital capacity requires the use of strategies aimed at optimizing the learning process in a digital educational environment.

Predicting Carbon Dioxide Emissions of Incoming Traffic Flow at Signalized Intersections by Using Image Detector Data (영상검지자료를 활용한 신호교차로 접근차량의 탄소배출량 추정)

  • Taekyung Han;Joonho Ko;Daejin Kim;Jonghan Park
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.21 no.6
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    • pp.115-131
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    • 2022
  • Carbon dioxide (CO2) emissions from the transportation sector in South Korea accounts for 16.5% of all CO2 emissions, and road transportation accounts for 96.5% of this sector's emissions in South Korea. Hence, constant research is being carried out on methods to reduce CO2 emissions from this sector. With the emerging use of smart crossings, attempts to monitor individual vehicles are increasing. Moreover, the potential commercial deployment of autonomous vehicles increases the possibility of obtaining individual vehicle data. As such, CO2 emission research was conducted at five signalized intersections in the Gangnam District, Seoul, using data such as vehicle type, speed, acceleration, etc., obtained from image detectors located at each intersection. The collected data were then applied to the MOtor Vehicle Emission Simulator (MOVES)-Matrix model-which was developed to obtain second-by-second vehicle activity data and analyze daily CO2 emissions from the studied intersections. After analyzing two large and three small intersections, the results indicated that 3.1 metric tons of CO2 were emitted per day at each intersection. This study reveals a new possibility of analyzing CO2 emissions using actual individual vehicle data using an improved analysis model. This study also emphasizes the importance of more accurate CO2 emission analyses.

Tuning Behavior of (Cyclic Amines + Methane) Clathrate Hydrates and Their Application to Gas Storage (고리형 아민이 포함된 메탄 하이드레이트의 튜닝과 가스 저장 연구)

  • Ki Hun Park;Dong Hyun Kim;Minjun Cha
    • Korean Chemical Engineering Research
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    • v.61 no.3
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    • pp.394-400
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    • 2023
  • In this study, the tuning phenomena, gas storage capacity, and thermal expansion behaviors of binary (cyclopentylamine + CH4) and (cyclopropylamine + CH4) clathrate hydrates were investigated for the potential applications of clathrate hydrates to gas storage. To understand the tuning behaviors of binary (cyclopentylamine + CH4) and (cyclopropylamine + CH4) clathrate hydrates, 13C solid-state NMR spectroscopy was used, and the results confirmed that maximum tuning factors for the binary (cyclopentylamine + CH4) and (cyclopropylamine + CH4) clathrate hydrates were achieved at 0.5 mol% and 1.0 mol% of guest concentration, respectively. The gas storage capacity of binary (cyclopentylamine + CH4) and (cyclopropylamine + CH4) clathrate hydrates were also checked, and the results showed the CH4 capacity of our hydrate systems was superior to that of binary (tetrahydrofuran + CH4) and (cyclopentane + CH4) clathrate hydrates. The synchrotron diffraction patterns of these hydrates collected at 100, 150, 200, and 250 K confirmed the formation of a cubic Fd-3m hydrate. In addition, the lattice constant of clathrate hydrates with cyclopentylamine and methane were larger than that with cyclopropylamine and methane due to the effects of molecular size and shape.