• Title/Summary/Keyword: Defect State

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Structure and optical properties of vapor grown In2O3: Ga nano-/microcrystals

  • Sanchez, Diego Leon;Ramon, Jesus Alberto Ramos;Zaldivar, Manuel Herrera;Pal, Umapada;Rosas, Efrain Rubio
    • Advances in nano research
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    • v.3 no.2
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    • pp.81-96
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    • 2015
  • Octahedral shaped single crystalline undoped and Ga-doped indium oxide nano-and microcrystals were fabricated using vapor-solid growth process. Effects of Ga doping on the crystallinity, defect structure, and optical properties of the nano-/microstructures have been studied using scanning electron microscopy, microRaman spectroscopy, transmission electron microscopy and cathodoluminescence spectroscopy. It has been observed that incorporation of Ga does not affect the morphology of $In_2O_3$ structures due to its smaller ionic radius, and similar oxidation state as that of In. However, incorporation of Ga in high concentration (~3.31 atom %) causes lattice compression, reduces optical band gap and defect induced CL emissions of $In_2O_3$ nano-/microcrystals. The single crystalline Ga-doped, $In_2O_3$ nano-/microcrystals with low defect contents are promising for optoelectronic applications.

A Comparative Experiment of Software Defect Prediction Models using Object Oriented Metrics (객체지향 메트릭을 이용한 결함 예측 모형의 실험적 비교)

  • Kim, Yun-Kyu;Kim, Tae-Yeon;Chae, Heung-Seok
    • Journal of KIISE:Computing Practices and Letters
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    • v.15 no.8
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    • pp.596-600
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    • 2009
  • To support an efficient management of software verification and validation activities, many defect prediction models have been proposed based on object oriented metrics. They usually adopt logistic regression analysis, And, they state that the correctness of prediction is about 60${\sim}$70%, We performed a similar experiment with Eclipse 3.3 to check their prediction effectiveness, However, the result shows that correctness is about 40% which is much lower than the original results. We also found that univariate logistic regression analysis produces better results than multivariate logistic regression analysis.

Sputtering effect on chemical state changes in amorphous Ga-In-Zn-O thin film

  • Lee, Mi-Ji;Gang, Se-Jun;Baek, Jae-Yun;Kim, Hyeong-Do;Jeong, Jae-Gwan;Lee, Jae-Cheol;Lee, Jae-Hak;Sin, Hyeon-Jun
    • Proceedings of the Korean Vacuum Society Conference
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    • 2010.02a
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    • pp.134-134
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    • 2010
  • Ga-In-Zn-O 물질은 비정질상태에서 높은 전하 운동성을 가지고 있으며 차세대 투명전극 thin film transistor 대안 소재로 각광받고 있다. 그런데 이 물질은 ion sputtering에 따라 전기적인 특성에 큰 변화가 관찰되고 있으며, 이는 표면에서의 화학적 상태가 전기적 특성을 좌우할 것이라는 것을 의미한다. 또한 보다 안정적이고 신뢰적인 소자를 구현하기 위해서는 ion sputtering에 의한 표면에서의 화학적 특성 변화를 이해하는 것이 매우 중요하다는 것을 의미한다. 본 연구에서는 $Ga_2O_3:In_2O_3$:ZnO의 비율이 각각 1:1:1, 2:2:1, 3:2:1 그리고 4:2:1인 시료를 $Ne^+$이온을 이용하여 sputtering하면서 표면에 민감한 분광분석 기법인 x-ray photoelectron spectroscopy와 x-ray absorption spectroscopy를 이용하여 분광정보의 변화들을 연구하였다. 실험에 의하면, Ga 3d의 양에 비해서 In 4d, Zn 3d의 양은 sputtering 시간에 따라서 각 각 양이 줄어들었으며, 전체적으로 보다 산화가가 높은 경향을 보였으며, valence band maximum 근처에 subgap state를 형성하는 것을 관찰하였다. 또한 sputtering을 계속하는 경우 In 3d, In 4d, 및 Fermi energy 근처에 metallic state가 형성되는 것을 관찰하였다. 이러한 subgap state와 metallic state의 관측은 각기 sputtering에 따라서, 아직 명확하지는 않지만, surface state의 형성 및/혹은 oxygen interstitial의 형성 그리고 metallic In의 형성 및/혹은 oxygen defect의 형성이 이루어지는 것을 의미한다.

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The Present State and Task of Korea Magnesium Industry (한국마그네슘산업의 현황과 과제)

  • Kang, M.C.;Kim, H.S.;Cho, H.K.;Kim, K.H.
    • Proceedings of the Korean Society for Technology of Plasticity Conference
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    • 2008.10a
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    • pp.57-60
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    • 2008
  • Magnesium alloys usage has been increased every year owing to its lightness, damping capacity, and EMI shielding, etc. In case of magnesium, it is mainly produced by diecasting due to high fluidity of melts. But, casting defect occurs many times because of low heat capacity of the magnesium. Therefore, wrought products can be applied for defect-free and mechanical properties. but it is insufficient in market share because of crystalline structure. The domestic market of wrought magnesium products are not revitalized compare to advanced countries. Accordingly we are going to forecast a domestic market of wrought products through searching the present of korean magnesium industry.

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Effect of Open Channels on the Isolation of Overlapping Resonances in the Uniformly Perturbed Rydberg Systems Studied by Multichannel Quantum Defect Theory

  • Lee, Chun-Woo;Kim, Jeong-Jin
    • Bulletin of the Korean Chemical Society
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    • v.32 no.5
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    • pp.1519-1526
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    • 2011
  • A previous study (Lee, C. W. J. Phys. B 2010, 43, 175002) that isolated the overlapping resonances in the photoionization spectra using multichannel quantum defect theory (MQDT) in systems involving a single open channel was extended to manage many open channels when the closed channels are degenerate. The theory was applied to the dipole allowed J = 1$^{\circ}$ spectra from the ground state with excitation energies lying between the lowest ionization thresholds for rare gas atoms, Ar, Kr, and Xe, and also for group IV elements, Ge, Sn and Pb.

Edge Cut Process for Reducing Ni Content at Channel Edge Region in Metal Induced Lateral Crystallization Poly-Si TFTs

  • SEOK, Ki Hwan;Kim, Hyung Yoon;Park, Jae Hyo;Lee, Sol Kyu;Lee, Yong Hee;Joo, Seung Ki
    • JSTS:Journal of Semiconductor Technology and Science
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    • v.16 no.2
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    • pp.166-171
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    • 2016
  • Nickel silicide is main issue in Polycrystalline silicon Thin Film Transistor (TFT) which is made by Metal Induced Lateral Crystallization (MILC) method. This Nickel silicide acts as a defect center, and this defect is one of the biggest reason of the high leakage current. In this research, we fabricated polycrystalline TFTs with novel method called Edge Cut (EC). With this new fabrication method, we assumed that nickel silicide at the edge of the channel region is reduced. Electrical properties are measured and trap state density also calculated using Levinson & Proano method.

Malignant Hyperthermia in Open Heart Surgery -One Case Report- (개심술에서 발생한 악성 고열증 -1예 보고-)

  • 곽문섭
    • Journal of Chest Surgery
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    • v.15 no.2
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    • pp.230-237
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    • 1982
  • Malignant hyperthermia has been reported by many authors since Denborough [1960] first described concerning anesthetic death in a family. Malignant hyperthermia is characterized by a hypermetabolic state [tachycardia, tachypnea, hypercarbia, hypoxia, cyanosis, hypotension, high fever and muscle rigidity] and is related to a hereditary defect of skeletal muscle. In susceptible individuals, it is triggered by potent inhalational anesthetics, depolarizing muscle relaxant [Succinylcholine], amide type local anesthetics [prototype lidocaine] and occasionally by stress due to emotional and environmental factors. Unrecognized and untreated malignant hyperthermia is associated with a very high mortality rate. Recently authors have experienced malignant hyperthermia in 5 year old male child who was diagnosed to have patent ductus arteriosus and interatrial septal defect associated with congenital physical deformities such as short stature, hypotrophic muscles and genu valgus deformity of lower extremity, indirect inguinal hernia and Ramphant caries.

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A Decision Tree Approach for Identifying Defective Products in the Manufacturing Process

  • Choi, Sungsu;Battulga, Lkhagvadorj;Nasridinov, Aziz;Yoo, Kwan-Hee
    • International Journal of Contents
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    • v.13 no.2
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    • pp.57-65
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    • 2017
  • Recently, due to the significance of Industry 4.0, the manufacturing industry is developing globally. Conventionally, the manufacturing industry generates a large volume of data that is often related to process, line and products. In this paper, we analyzed causes of defective products in the manufacturing process using the decision tree technique, that is a well-known technique used in data mining. We used data collected from the domestic manufacturing industry that includes Manufacturing Execution System (MES), Point of Production (POP), equipment data accumulated directly in equipment, in-process/external air-conditioning sensors and static electricity. We propose to implement a model using C4.5 decision tree algorithm. Specifically, the proposed decision tree model is modeled based on components of a specific part. We propose to identify the state of products, where the defect occurred and compare it with the generated decision tree model to determine the cause of the defect.

A Case of Tetralogy of Fallot in a Siberian Husky Dog (Siberian Husky 견에서 팔로사징 진단 증례)

  • 이해운;엄기동;성윤상;박진희;김정은;오태호;이희천
    • Journal of Veterinary Clinics
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    • v.21 no.3
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    • pp.314-318
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    • 2004
  • A 7-month-old 8.2 kg female Siberian Husky with history of exercise intolerance, delayed growth, and tachypnea was presented to Veterinary Medical Teaching Hospital, Kyungpook National University. A holosystolic murmur was identified in cardiac ausculation. In electrocardiography, thoracic radiographs, and ultrasonography, a right axis deviation, enlarged right ventricle, stenotic main pulmonary artery, large ventricular septal defect, marked right ventricle hypertrophy, and overriding aorta with dilation were identified. The color Doppler examination showed the left-to-right shunting of blood via interventricular septal defect and the blood flow streams converging from the right and left ventricles into the aorta. The dog was diagnosed as tetralogy of Fallot. The current state of the dog is well-tolerated without any specific medication.

Estimation of Failure Probability Using Boundary Conditions of Failure Pressure Model for Buried Pipelines (파손압력모델의 경계조건을 이용한 매설배관의 파손확률 평가)

  • Lee, Ouk-Sub;Kim, Eui-Sang;Kim, Dong-Hyeok
    • Proceedings of the KSME Conference
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    • 2003.04a
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    • pp.310-315
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    • 2003
  • This paper presents the effect of boundary condition of failure pressure model for buried pipelines on failure prediction by using a failure probability model. The first order Taylor series expansion of the limit state function is used in order to estimate the probability of failure associated with various corrosion defects for long exposure periods in years. A failure pressure model based on a failure function composed of failure pressure and operation pressure is adopted for the assessment of pipeline failure. The effects of random variables such as defect depth, pipe diameter, defect length, fluid pressure, corrosion rate, material yield stress, material ultimate tensile strength and pipe thickness on the failure probability of the buried pipelines are systematically studied by using a failure probability model for the corrosion pipeline.

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