• Title/Summary/Keyword: AiC

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Inheritance of Scentedness of Rice Leaf in a Scented Breeding Line 'P-33-C-19' (향도의 방향성 유전)

  • 박순직
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.29 no.1
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    • pp.11-14
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    • 1984
  • The inheritance of scent in rice leaf and its genetic association with base color, hull color and resistance to bacterial leaf blight were studied in F$_2$ population of two rice crosses, P-33-C-19 (scented)/Zhu-Lian-Ai and P-33-C-19/Kataktara DA2. The scent was identified by leaf analysis at tillering stage. The scented and non-scented plants segregated in the ratio of 1scented: 3non-scented showing that a recessive gene responsible for the expression of scentedness. The scentedness was independently segregated with base color. hull color and resistance to bacterial leaf blight.

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Understanding Elementary School Teachers' Intention to Use Artificial Intelligence in Mathematics Lesson Using TPACK and Technology Acceptance Model (TPACK과 기술수용모델을 활용한 초등교사의 수학 수업에서 인공지능 사용 의도 이해)

  • Son, Taekwon;Goo, Jongseo;Ahn, Doyeon
    • Education of Primary School Mathematics
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    • v.26 no.3
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    • pp.163-180
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    • 2023
  • This study aimed to investigate the factors influencing the intentions of elementary school teachers to use artificial intelligence (AI) in mathematics lessons and to identify the essential prerequisites for the effective implementation of AI in mathematics education. To achieve this purpose, we examined the structural relationship between elementary school teachers' TPACK(Technological Pedagogical Content Knowledge) and the TAM(Technology Acceptance Model) using structural equation model. The findings of the study indicated that elementary school teachers' TPACK regarding the use of AI in mathematics instruction had a direct and significant impact on their perceived ease of use and perceived usefulness of AI. In other words, when teachers possessed a higher level of TPACK competency in utilizing AI in mathematics classes, they found it easier to incorporate AI technology and recognized it as a valuable tool to enhance students' mathematics learning experience. In addition, perceived ease of use and perceived usefulness directly influenced the attitudes of elementary school teachers towards the integration of AI in mathematics education. When teachers perceived AI as easy to use in their mathematics lessons, they were more likely to recognize its usefulness and develop a positive attitude towards its application in the classroom. Perceived ease of use, perceived usefulness, and attitude towards AI integration in mathematics classes had a direct impact on the intentions of elementary school teachers to use AI in their mathematics instruction. As teachers perceived AI as easy to use, valuable, and developed a positive attitude towards its incorporation, their intention to utilize AI in mathematics education increased. In conclusion, this study shed light on the factors influencing elementary school teachers' intentions to use AI in mathematics classes. It revealed that teachers' TPACK plays a crucial role in facilitating the integration of AI in mathematics education. Additionally, the study emphasized the significance of enhancing teachers' awareness of the advantages and convenience of using AI in mathematics instruction to foster positive attitudes and intentions towards its implementation. By understanding these factors, educational stakeholders can develop strategies to effectively promote the utilization of AI in mathematics education, ultimately enhancing students' learning outcomes.

Automated optimization for memory-efficient high-performance deep neural network accelerators

  • Kim, HyunMi;Lyuh, Chun-Gi;Kwon, Youngsu
    • ETRI Journal
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    • v.42 no.4
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    • pp.505-517
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    • 2020
  • The increasing size and complexity of deep neural networks (DNNs) necessitate the development of efficient high-performance accelerators. An efficient memory structure and operating scheme provide an intuitive solution for high-performance accelerators along with dataflow control. Furthermore, the processing of various neural networks (NNs) requires a flexible memory architecture, programmable control scheme, and automated optimizations. We first propose an efficient architecture with flexibility while operating at a high frequency despite the large memory and PE-array sizes. We then improve the efficiency and usability of our architecture by automating the optimization algorithm. The experimental results show that the architecture increases the data reuse; a diagonal write path improves the performance by 1.44× on average across a wide range of NNs. The automated optimizations significantly enhance the performance from 3.8× to 14.79× and further provide usability. Therefore, automating the optimization as well as designing an efficient architecture is critical to realizing high-performance DNN accelerators.

A Clinical Cases Study of Elbow Pain and Dysfunction in Patients Diagnosed as Lateral Epicondylitis (소염약침 병행 한방치료를 시행한 상완골외측상과염 환자 2례에 대한 증례보고)

  • Choi, Joo-Young;Kang, Jae-Hui;Lee, Hyun
    • Journal of Haehwa Medicine
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    • v.20 no.1
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    • pp.153-160
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    • 2011
  • Objective : The objective of this study is to observe the effect of Pharmacopuncture of Anti-inflammatory Herbal compound(AiC) theraphy on elbow pain Methods : The patients diagnosed as lateral epicondylitis and treated mainly with Anti-inflammatory Herbal compound(AiC). After the application of herbal acupuncture, The NRS and ROM of elbow were assessed. Results & conclusion : Symptoms of the patient such as elbow pain and dysfunction were improved after above treatments. so, it is suggested that oriental medical treatment(Pharmacopuncture of Anti-inflammatory Herbal compound(AiC)) is effective on Tennis elbow.

Effects of Ce Addition and Isothermal Aging on the Elevated Temperature Tensile Properties of Mechanically Alloyed Al-Ti Alloys (기계적합금화한 Al-Ti 합금의 고온 인장 특성에 미치는 Ce의 첨가와 등온열처리의영향)

  • Kim, Jun-Gi;O, Yeong-Min;Kim, Yong-Deok;Kim, Byeong-Cheol;Kim, Seon-Jin
    • Korean Journal of Materials Research
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    • v.7 no.5
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    • pp.444-450
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    • 1997
  • 기계적합금화 한 AI-Ti합금의 상온 및 고온 인장강도는 25at.% Ti을 Ce으로 치환함에 따라 증가하였다. 그러나 25at.% 이상의 Ce첨가는 합금의 인장강도를 감소시켰다. 이는 Ce이 적은 고용도 효과에 의해 금속간화합물의 초대화를 억제하여 합금의 강도를 증가시키지만 다량 첨가시에는 Ti에 비해 무거운 원자량으로 인해 분산상의 부피분율을 감소시켜 합금의 강도가 오히려 저하시킨 것으로 생각된다. Ce의 첨가는 40$0^{\circ}C$와 51$0^{\circ}C$에서 합금의 열저안정성을 향상시키는 것으로 나타났다. 300-51$0^{\circ}C$ 온도범위에서 측정된 AI-8wt.%(Ti+Ce)합금의 변형에 필요한 활성화에너지는 AI의 자기확산에 필요한 에너지 (142kJ/mode)의 1.3-1.9배로 나타났다. 이로부터 AI-Ti-Ce 합금의 고온 변형은 Orowan기구에 의한 것을 생각된다.

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Detecting Activated Thrombin Activatable Fibrinolysis Inhibitor (TAFIa) and Inactivated TAFIa (TAFIai) in Normal and Hemophilia A Plasmas

  • Hulme, John P.;An, Seong Soo A.
    • Bulletin of the Korean Chemical Society
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    • v.30 no.1
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    • pp.77-82
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    • 2009
  • Thrombin activatable fibrinolysis inhibitor (TAFI) also known as plasma procarboxypeptidase B or U is a 60 kD glycoprotein, which is the major modulator of fibrinolysis in plasma. TAFI is a proenzyme, which is activated by proteolytic cleavage to an active carboxypeptidase B-like enzyme (TAFIa, 35.8 kD) by thrombin/thrombomodulin and plasmin. Modulation of fibrinolysis occurs when TAFIa enzymatically removes C-terminal lysine residues of partially degraded fibrin, thereby inhibiting the stimulation of tissue plasminogen activator (t-PA) modulated plasminogen activation. TAFIa undergoes a rapid conformational change at $37{^{\circ}C}$ to an inactive isoform called TAFIai. Potato tuber carboxypetidase inhibitor (PTCI) was shown to specifically bind to TAFIa as well as TAFIai. In this study, a novel immunoassay TAFIa/ai ELISA was used for quantitation of the two TAFI activation isoforms TAFIa and TAFIai. The ELISA utilizes PTCI as the capture agent and a double antibody sandwich technique for the detection. Low levels of TAFIa/ai antigen levels were detected in normal plasma and elevated levels were found in hemophilia A plasmas. TAFIa/ai antigen represents a novel marker to monitor fibrinolysis and TAFIa/ai ELISA may be a valuable assay for studying the role of TAFI in normal hemostasis and in pathological conditions.

Antioxidant Activity of Grape Seed Ethanol Extract (포도종실 에탄올 추출물의 항산화 활성)

  • 정하열;윤수정
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.31 no.5
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    • pp.893-898
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    • 2002
  • To examine the antioxidant activity of grape seed ethanol extract, the antioxidative index (AI) by the active oxygen method (AOM) and peroxide value (POV) of linoleic acids containing the extract at levels of 100, 500, 1000 ppm was measured during storage at 6$0^{\circ}C$ for 12 days. When comparing with BHT, the extract at levels of 500 ppm showed similar or better antioxidant activity (AI: 2.25, POV: 57 meq/kg oil) than that (AI: 1.21, POV:58 meq/kg oil ) of BHT at 200 ppm level. The mixture of 500 ppm of the extract and 500 ppm of ascorbic acid showed intense synergistic antioxidant activity (AI: 6.21, POV: 14 meq/kg oil) compared with using 1000 ppm of the extract only (AI: 3.39, POV 43 meq/kg oil). Also to determine the feasibility of using the extract for natural antioxidant, the oxidative stability of roasted peanut and Ramyon was investigated by measuring the POV of crude oils from the samples stored at 60"C for 18 days. The oxidative stability of roasted peanut and Ramyon seemed to be enhanced by treatment with the extract at level of 1000 ppm, especially with the 1 : 1 mixture of extract and ascorbic acid. This study suggested that grape seed ethanol extract could be used as the natural antioxidant for the improvement of overall oxidation stability of fat containing foods.oods.

Synthesis and After-Glow Characteristics of Eu Activated Sr-Al-O Long Phosphorescent Phosphor (Eu 부활형 Sr-Al-O 계 장잔광 형광체의 합성과 잔광특성)

  • Lee, Young-Ki;Kim, Jung-Yeul;Kim, Byung-Kyu;Yu, Yeon-Tae
    • Korean Journal of Materials Research
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    • v.8 no.8
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    • pp.737-743
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    • 1998
  • The synthesis of $SrAI_2O_4:Eu^{2+}$ phosphor and its properties of both photoluminescence and long-phosphorescent were investigated as a function of sintering condition. Single phase of $SrAl_2O_4$ was obtained by sintering the mixtures of $SrCO_3$, $Eu_2O_3$, $AI_2O_34 and 3wt% $B_2O_3$ powders over 100$0^{\circ}C$ in Ar/H2 atmosphere. The optimum sintering condition for the long-phosphorescent phosphor of $SrAI_2O_4:Eu^{2+}$ was found at 130$0^{\circ}C$ for 3hours. The PL emission spectrum of $SrAI_2O_4:Eu^{2+}$ shows a maximum peak intensity at 520nm(2.384eV) with a broad emission extending from 450 to 650nm which resulted from the $4f^65d^1$$\rightarrow$$4f^7$ transition of $Eu^{+2}$ under 360nm exitation. Monitored at 520nm. the excita¬tion spectrum of $SrAI_2O_4:Eu^{2+}$ exhibits a maximum peak intensity at 360nm (3.44eV) with a broad absorption band extending from 250 to 480nm.

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An impulse radio (IR) radar SoC for through-the-wall human-detection applications

  • Park, Piljae;Kim, Sungdo;Koo, Bontae
    • ETRI Journal
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    • v.42 no.4
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    • pp.480-490
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    • 2020
  • More than 42 000 fires occur nationwide and cause over 2500 casualties every year. There is a lack of specialized equipment, and rescue operations are conducted with a minimal number of apparatuses. Through-the-wall radars (TTWRs) can improve the rescue efficiency, particularly under limited visibility due to smoke, walls, and collapsed debris. To overcome detection challenges and maintain a small-form factor, a TTWR system-on-chip (SoC) and its architecture have been proposed. Additive reception based on coherent clocks and reconfigurability can fulfill the TTWR demands. A clock-based single-chip infrared radar transceiver with embedded control logic is implemented using a 130-nm complementary metal oxide semiconductor. Clock signals drive the radar operation. Signal-to-noise ratio enhancements are achieved using the repetitive coherent clock schemes. The hand-held prototype radar that uses the TTWR SoC operates in real time, allowing seamless data capture, processing, and display of the target information. The prototype is tested under various pseudo-disaster conditions. The test standards and methods, developed along with the system, are also presented.

Importance and Satisfaction Analysis for AI Assistant Services (AI 비서 서비스의 중요도와 만족도 분석 연구)

  • Sun, Young Ji;Lee, Choong C.;Yun, Haejung
    • Journal of Information Technology Services
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    • v.20 no.4
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    • pp.81-93
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    • 2021
  • In the era of artificial intelligence, the use of 'artificial intelligence-based services' has been diversified by combining various smart devices, big data, and voice recognition technology with artificial intelligence. From the perspective of IT services, these services are important technology that cause a paradigm shift from display-centered to voice-centered, and from passive to active IT-based services. This study seeks to find a solution to the current situation where AI assistant service is still in its beginning stage, despite having been ten years since its release and having a growing number of consumer touch points. Accordingly, we categorized the functions of AI assistant services and identified the degree of importance and satisfaction of services recognized by actual users. In order to define the 'ideal' services of AI assistant, seven experts from AI assistant-related industry have participated in the interview. Based on this result, we investigated the importance and satisfaction of services perceived by actual users of AI assistant services. As a result of IPA (Importance Performance Analysis). we find out which services are potentially 'keep', 'concentrate', 'low priority', or 'overkill' and provide various implications from the findings.