http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Omid Mahmoudi,Farzin Piltan,Omid Reza Sadrnia,Mahdi Jafari,Mehdi Eram 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.1
Design a robust artificial intelligent nonlinear controller for second order nonlinear uncertain dynamical systems is one of the most important challenging works. This paper focuses on the design of a robust chattering free mathematical model-base artificial intelligence (fuzzy inference system) variable structure controller (MFVSC) for highly nonlinear dynamic continuum robot manipulator, in presence of uncertainties. In order to provide high performance nonlinear methodology, variable structure controller is selected. Pure variable structure controller can be used to control of partly known nonlinear dynamic parameters of continuum robot manipulator. In order to reduce/eliminate the chattering, this research is used the artificial intelligence (fuzzy logic) theory. The results demonstrate that the model base fuzzy variable structure controller with switching function is a model-based controllers which works well in certain and partly uncertain system. Lyapunov stability is proved in mathematical model-based fuzzy variable structure controller with switching (sign) function. This controller has acceptable performance in presence of uncertainty (e.g., overshoot=1%, rise time=0.9 second, steady state error = 1.6e-8 and RMS error=4.8e-8).
Omid Mahmoudi,Kil To Chong(정길도) 제어로봇시스템학회 2020 제어·로봇·시스템학회 논문지 Vol.26 No.4
This study provides an augmented LKF(Lyapunov-Krasovskii functional) for the stability analysis of generalized neural networks with time-varying delays. First, an augmented LKF is constructed by introducing integral vectors and the second derivative of state. Second, by considering the new augmented LKF and free-weighting matrix integral inequality, the stability criteria for the asymptotic stability of generalized neural networks are presented in this paper. Finally, the effectiveness of the proposed method and its improvements are shown through a numerical example.
Utilizing Deep Learning Model to Identify DNA N4-Methylcytosine Sites
Omid Mahmoudi,Kil To Chong 대한전자공학회 2020 대한전자공학회 학술대회 Vol.2020 No.8
N4—methylcytosine (4mC) is one of the most important DNA modifications which playing essential role in regulating cell differentiations and gene expressions. Therefore, it is necessary to understand the arious biological function for the identification of 4mC sites. In this study, we proposed a new computational predictor comprises of an encoding technique and a deep learning model to identify 4mC sites in genomes of Fragaria vesca. The proposed model obtained 1.97%, 0.64%, 2.10%, 0.01%, and 0.87% higher than the state—of—the—art in terms of MCC, ACC, Sn, Sp, and AUC, respectively, on training dataset. Furthermore, it outperformed those four metrics plus AUC on independent dataset as well.
Design FPGA-Based CL-Minimum Control Unit
Farzin Piltan,Omid Avatefipour,Samira Soltani,Omid Mahmoudi,Mahmoud Reza Safaei Nasrabad,Mehdi Eram,Zahra Esmaeili,Sara Heidari,Kamran Heidari,Mohammad Mahidi Ebrahimi 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.1
Most of controllers need real time mobility operation so one of the most important devices which can be used to solve this challenge is Field Programmable Gate Array (FPGA). FPGA can be used to design a controller in a single chip Integrated Circuit (IC). To have higher implementation speed with good performance cMinimum Control Unit (MCU) is implemented on Spartan 3E FPGA using Xilinx software. Design a 4 bits Field Programmable Gate Array (FPGA)- based carry lookahead MCU is the main challenging works. MCU is control unit to control of data transfer between input and output and process the input data. In this research, MCU is used to control the 4 bits, Arithmetic Logic Unit (ALU). Combinational logic characterized by its propagation delay and contamination delay. To reduce the delay hardware description language (HDL) type of programming is very important. To reduce the route delay and logic delay, type of HDL design is very important. In this research, we used lookahead design, which reduce about 10% delay in comparison with ripple carry.
Design FPGA-Based Fuzzification Algorithm for Model-free Control Techniques
Farzin Piltan,Maryam Rahmani,Omid Mahmoudi,Meysam Esmaeili,Mohammad Ali Tayebi,Mahsa Piltan,Hamid Cheraghi 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.8
Many of fuzzy control applications require real-time operation; higher density programmable logic devices such as field programmable gate array (FPGA) can be used to integrate large amounts of logic in a single IC. This work, proposes a developed method to fuzzifier algorithm with optimal-tunable gains method-using FPGA. The maximum frequency in FPGA-based design is about 72.4 MHz and the delay time in this design is about 13.78 ns. It is observed that this algorithm is able to make as a fast response at 13.78 clock period with 72.4 of a maximum frequency and 2.1 ns for minimum input arrival time after clock. From investigation and synthesis summary, 24.3 for maximum input arrival time after clock with 13.9 MHZ frequencies, this design has 13.78 ns delays for each controller to 46 logic elements and the offset before CLOCK is 82.1 ns.
Zhu, Xianbing,Ji, Xiaoyuan,Kong, Na,Chen, Yunhan,Mahmoudi, Morteza,Xu, Xiaoding,Ding, Li,Tao, Wei,Cai, Ting,Li, Yujing,Gan, Tian,Barrett, Austin,Bharwani, Zameer,Chen, Hongbo,Farokhzad, Omid C. American Chemical Society 2018 ACS NANO Vol.12 No.3
<P>Emerging two-dimensional (2D) nanomaterials, such as transition-metal dichalcogenide (TMD) nanosheets (NSs), have shown tremendous potential for use in a wide variety of fields including cancer nanomedicine. The interaction of nanomaterials with biosystems is of critical importance for their safe and efficient application. However, a cellular-level understanding of the nano-bio interactions of these emerging 2D nanomaterials (<I>i</I>.<I>e</I>., intracellular mechanisms) remains elusive. Here we chose molybdenum disulfide (MoS<SUB>2</SUB>) NSs as representative 2D nanomaterials to gain a better understanding of their intracellular mechanisms of action in cancer cells, which play a significant role in both their fate and efficacy. MoS<SUB>2</SUB> NSs were found to be internalized through three pathways: clathrin → early endosomes → lysosomes, caveolae → early endosomes → lysosomes, and macropinocytosis → late endosomes → lysosomes. We also observed autophagy-mediated accumulation in the lysosomes and exocytosis-induced efflux of MoS<SUB>2</SUB> NSs. Based on these findings, we developed a strategy to achieve effective and synergistic <I>in vivo</I> cancer therapy with MoS<SUB>2</SUB> NSs loaded with low doses of drug through inhibiting exocytosis pathway-induced loss. To the best of our knowledge, this is the first systematic experimental report on the nano-bio interaction of 2D nanomaterials in cells and their application for anti-exocytosis-enhanced synergistic cancer therapy.</P> [FIG OMISSION]</BR>