• Title/Summary/Keyword: Response bias

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Compact Capacitance Model of L-Shape Tunnel Field-Effect Transistors for Circuit Simulation

  • Yu, Yun Seop;Najam, Faraz
    • Journal of information and communication convergence engineering
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    • v.19 no.4
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    • pp.263-268
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    • 2021
  • Although the compact capacitance model of point tunneling types of tunneling field-effect transistors (TFET) has been proposed, those of line tunneling types of TFETs have not been reported. In this study, a compact capacitance model of an L-shaped TFET (LTFET), a line tunneling type of TFET, is proposed using the previously developed surface potentials and current models of P- and L-type LTFETs. The Verilog-A LTFET model for simulation program with integrated circuit emphasis (SPICE) was also developed to verify the validation of the compact LTFET model including the capacitance model. The SPICE simulation results using the Verilog-A LTFET were compared to those obtained using a technology computer-aided-design (TCAD) device simulator. The current-voltage characteristics and capacitance-voltage characteristics of N and P-LTFETs were consistent for all operational bias. The voltage transfer characteristics and transient response of the inverter circuit comprising N and P-LTFETs in series were verified with the TCAD mixed-mode simulation results.

A Conceptual Architecture for Ethic-Friendly AI

  • Oktian, Yustus-Eko;Brian, Stanley;Lee, Sang-Gon
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.4
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    • pp.9-17
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    • 2022
  • The state-of-the-art AI systems pose many ethical issues ranging from massive data collection to bias in algorithms. In response, this paper proposes a more ethic-friendly AI architecture by combining Federated Learning(FL) and Blockchain. We discuss the importance of each issues and provide requirements for an ethical AI system to show how our solutions can achieve more ethical paradigms. By committing to our design, adopters can perform AI services more ethically.

High-Performance Schottky Junction for Self-Powered, Ultrafast, Broadband Alternating Current Photodetector

  • Lim, Jaeseong;Kumar, Mohit;Seo, Hyungtak
    • Korean Journal of Materials Research
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    • v.32 no.8
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    • pp.333-338
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    • 2022
  • In this work, we developed silver nanowires and a silicon based Schottky junction and demonstrated ultrafast broadband photosensing behavior. The current device had a response speed that was ultrafast, with a rising time of 36 ㎲ and a falling time of 382 ㎲, and it had a high level of repeatability across a broad spectrum of wavelengths (λ = 365 to 940 nm). Furthermore, it exhibited excellent responsivity of 60 mA/W and a significant detectivity of 3.5 × 1012 Jones at a λ = 940 nm with an intensity of 0.2 mW cm-2 under zero bias operating voltage, which reflects a boost of 50 %, by using the AC PV effect. This excellent broadband performance was caused by the photon-induced alternative photocurrent effect, which changed the way the optoelectronics work. This innovative approach will open a second door to the potential design of a broadband ultrafast device for use in cutting-edge optoelectronics.

Memory allocation at the neuronal and synaptic levels

  • HyoJin Park;Bong-Kiun Kaang
    • BMB Reports
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    • v.57 no.4
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    • pp.176-181
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    • 2024
  • Memory allocation, which determines where memories are stored in specific neurons or synapses, has consistently been demonstrated to occur via specific mechanisms. Neuronal allocation studies have focused on the activated population of neurons and have shown that increased excitability via cAMP response element-binding protein (CREB) induces a bias toward memory-encoding neurons. Synaptic allocation suggests that synaptic tagging enables memory to be mediated through different synaptic strengthening mechanisms, even within a single neuron. In this review, we summarize the fundamental concepts of memory allocation at the neuronal and synaptic levels and discuss their potential interrelationships.

Design and Fabrication of a Si pin Photodetector with Peak Spectral Response in the Red Light for Optical Link (적색 중심 Optical Link용 Si pin Photodetector의 설계 및 제작)

  • 장지근;김윤희;이지현;강현구;이상열
    • Journal of the Microelectronics and Packaging Society
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    • v.8 no.1
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    • pp.1-4
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    • 2001
  • We have fabricated and evaluated a new Si pin photodetector for APF optical link. The fabricated device has the $p^{+}$-guard ring around the metal-semiconductor contact and the web patterned $p^{+}$-shallow diffused region in the light absorbing area. From the measurements of electo-optical characteristics under the bias of -5 V, the junction capacitance of 4 pF and the dark current of 180 pA were obtained. The optical signal current of 1.22 $\mu$A and the responsivity of 0.55 A/W were obtained when the 2.2 $\mu$W optical power with peak wavelength of 670 nm was incident on the device. The fabricated device showed the maximum spectral response in a spectrum of 650-700 nm. It is expected that the fabricated device can be very useful for detecting the optical signal in the application of red light optics.

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Multivariate quantile regression tree (다변량 분위수 회귀나무 모형에 대한 연구)

  • Kim, Jaeoh;Cho, HyungJun;Bang, Sungwan
    • Journal of the Korean Data and Information Science Society
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    • v.28 no.3
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    • pp.533-545
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    • 2017
  • Quantile regression models provide a variety of useful statistical information by estimating the conditional quantile function of the response variable. However, the traditional linear quantile regression model can lead to the distorted and incorrect results when analysing real data having a nonlinear relationship between the explanatory variables and the response variables. Furthermore, as the complexity of the data increases, it is required to analyse multiple response variables simultaneously with more sophisticated interpretations. For such reasons, we propose a multivariate quantile regression tree model. In this paper, a new split variable selection algorithm is suggested for a multivariate regression tree model. This algorithm can select the split variable more accurately than the previous method without significant selection bias. We investigate the performance of our proposed method with both simulation and real data studies.

Sensitivity Improvement of the Web Patterned Si Photodiode (Web-패턴 Si 광다이오드의 감도특성 개선)

  • Jang, Ji-Geun;Lee, Sang-Yeol;Kim, Jang-Gi
    • Korean Journal of Materials Research
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    • v.11 no.4
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    • pp.247-250
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    • 2001
  • We have fabricated and evaluated a new Si pin photodiode for red light detection with the web patterned $p^{+}$ -shallow diffused region in the light absorbing area. From the measurements of electro-optical characteristics under the bias of -5V, the junction capacitance of 4pF and the dark current of 235pA were obtained. When the 1.6㎼ optical power with peak wavelength of 670nm was incident on the device, the optical signal current of 0.48$\mu\textrm{A}$ and the responsivity of 0.30A/W were obtained. The fabricated device showed the improved sensitivity compared to the conventional circular type device and the maximum spectral response in a spectrum of 670~700nm. The web-patterned Si photodiode can be expected to have the good discrimination characteristics between digital signals in the application of red light optics.

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Measuring and unfolding fast neutron spectra using solution-grown trans-stilbene scintillation detector

  • Nguyen Duy Quang;HongJoo Kim;Phan Quoc Vuong;Nguyen Duc Ton;Uk-Won Nam;Won-Kee Park;JongDae Sohn;Young-Jun Choi;SungHwan Kim;SukWon Youn;Sung-Joon Ye
    • Nuclear Engineering and Technology
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    • v.55 no.3
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    • pp.1021-1030
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    • 2023
  • We propose an overall procedure for measuring and unfolding fast neutron spectra using a trans-stilbene scintillation detector. Detector characterization was described, including the information on energy calibration, detector resolution, and nonproportionality response. The digital charge comparison method was used for the investigation of neutron-gamma Pulse Shape Discrimination (PSD). A pair of values of 600 ns pulse width and 24 ns delay time was found as the optimized conditions for PSD. A fitting technique was introduced to increase the trans-stilbene Proton Response Function (PRF) by 28% based on comparison of the simulated and experimental electron-equivalent distributions by the Cf-252 source. The detector response matrix was constructed by Monte-Carlo simulation and the spectrum unfolding was implemented using the iterative Bayesian method. The unfolding of simulated and measured spectra of Cf-252 and AmBe neutron sources indicates reliable, stable and no-bias results. The unfolding technique was also validated by the measured cosmic-ray induced neutron flux. Our approach is promising for fast neutron detection and spectroscopy.

Prediction of Dry Matter Intake in Lactating Holstein Dairy Cows Offered High Levels of Concentrate

  • Rim, J.S.;Lee, S.R.;Cho, Y.S.;Kim, E.J.;Kim, J.S.;Ha, Jong K.
    • Asian-Australasian Journal of Animal Sciences
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    • v.21 no.5
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    • pp.677-684
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    • 2008
  • Accurate estimation of dry matter intake (DMI) is a prerequisite to meet animal performance targets without penalizing animal health and the environment. The objective of the current study was to evaluate some of the existing models in order to predict DMI when lactating dairy cows were offered a total mixed ration containing a high level of concentrates and locally produced agricultural by-products. Six popular models were chosen for DMI prediction (Brown et al., 1977; Rayburn and Fox, 1993; Agriculture Forestry and Fisheries Research Council Secretariat, 1999; National Research Council (NRC), 2001; Cornell Net Carbohydrate and Protein System (CNCPS), Fox et al., 2003; Fuentes-Pila et al., 2003). Databases for DMI comparison were constructed from two different sources: i) 12 commercial farm investigations and ii) a controlled dairy cow experiment. The model evaluation was performed using two different methods: i) linear regression analysis and ii) mean square error prediction analysis. In the commercial farm investigation, DMI predicted by Fuentes-Pila et al. (2003) was the most accurate when compared with the actual mean DMI, whilst the CNCPS prediction showed larger mean bias (difference between mean predicted and mean observed values). Similar results were observed in the controlled dairy cow experiment where the mean bias by Fuentes-Pila et al. (2003) was the smallest of all six chosen models. The more accurate prediction by Fuentes-Pila et al. (2003) could be attributed to the inclusion of dietary factors, particularly fiber as these factors were not considered in some models (i.e. NRC, 2001; CNCPS (Fox et al., 2003)). Linear regression analysis had little meaningful biological significance when evaluating models for prediction of DMI in this study. Further research is required to improve the accuracy of the models, and may recommend more mechanistic approaches to investigate feedstuffs (common to the Asian region), animal genotype, environmental conditions and their interaction, as the majority of the models employed are based on empirical approaches.

The effects of dart performance on target size perception: A test of action-specific perception (다트수행이 표적의 크기지각에 미치는 영향: 행동-특정 지각의 검증)

  • Cho, Young-Hyun;Li, Hyung-Chul O.;Kim, ShinWoo
    • Korean Journal of Cognitive Science
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    • v.28 no.3
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    • pp.133-147
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    • 2017
  • Human perception is an outcome of the influence of various factors rather than objective reflection of external environment. Among the factors, action-specific perception is a phenomenon where perception changes in terms of one's ability to act on the environment. Previous research reported contradictory results regarding whether action-specific perception occurs during performance or after performance due to memory distortion or knowledge about performance results. In this research, we conducted three experiments to determine when action-specific perception occurs. Participants threw darts at different distances and reported perceived size of targets in each trial. The results showed that, in Experiments 1 and 2, participants perceived targets larger when they hit than missed the targets, and the effect was greater when the targets were not visible after each throw. However, because participants had knowledge about the results of their throws, there could have been bias in participants' responses. In Experiment 3, where this possibility was excluded, we also obtained action-specific perception, and therefore concluded that action-specific perception occurs during but not after task performance.