Data Analysis for Investment & Control

[도서]집단 지성이란 무엇인가 찰스 리드비터 저/이순희 역 | 21세기북스 | 2009년 05월 내용 편집/구성 직장 동료의 권유라는 의도하지 않은 계기로 사회 과학 분야의 도서 한 권을 읽게 되었다. 찰스 리드비터가 쓴 ‘잡단지성이란 무엇인가’라는 제목의 이 책은 비즈니스 도서 몇 권을 읽고 어디 가서 아는 척이라도 할 요량이었던 가벼운 내 생각을 완전히 뒤바꿔 놓았다. 내 전공 분야는 전자/기계/컴퓨터의 퓨전 학문인 로봇 공학. 이제는 취미가 되어버린 주식투자로 인해 어쩔 수 없이 접하게 되는 금융/경제 분야. 이것들에 대해 평소에 나름대로 많은 책을 읽고 있고, 틈틈이 정리도 해보지만, 내가 과연 얼마나 알고 있는지에 대한 우려만 가끔 하게 될 뿐, 지금 내 주위에는 이것들에 대해 심도 있게 이야기..

※ 특허 [제10-2007-0124235호 - 비선형 함수 연산을 위한 부동 소수점 프로세서 및 이를 이용한 비선형 함수 연산 방법]의 내용 중 일부입니다.

Range Name Sign (s) 1 [31] Exponent (e) 8 [30-23] Mantissa (m) 23 [22-0] Hexadecimal Range Range Decimal Range § Quiet -NaN 1 11..11 11..11 : 10..01 FFFFFFFF : FFC00001 Indeterminate 1 11..11 10..00 FFC00000 Signaling -NaN 1 11..11 01..11 : 00..01 FFBFFFFF : FF800001 -Infinity (Negative Overflow) 1 11..11 00..00 FF800000 (2-2-23) × 2127 ≥ 3.4028235677973365E+38 Signaling +NaN 0 11..11 00..01 : 0..

ROBOKER 팔의 제어를 위한 FPGA 기반 비선형 제어기의 임베디드 하드웨어 구현 Embedded Hardware Implementation of an FPGA Based Nonlinear PID Controller for the ROBOKER Arm Abstract : This paper presents the hardware implementation of nonlinear PID controllers for the ROBOKER humanoid robot arms. To design the nonlinear PID controller on an FPGA chip, nonlinear functions as well as the conventional PID control algorithm have..

FPGA 기반 유연성 신경회로망 제어기의 통신을 위한 하드웨어/소프트웨어 설계 (Hardware/Software Codesign for Communication of Flexible Neural Network Controller Based on an FPGA) Abstract : This article presents HW/SW codesign for communication of flexible neural network controller(FNNC). The FNNC is designed 32bit CPU/FPU on a single FPGA chip for humanoid robot control by VHDL. Also, Peripherals such as PWM generator, encoder..

Evaluation of Embedded RBF Neural Chip with Back-propagation Algorithm for Pattern Recognition Tasks Abstract—This article presents the evaluation analysis of the radial function neural network embedded on an FPGA chip by experiments. The back-propagation algorithm has been embedded and tested for the feasibility for on-line learning tasks. The nonlinear pattern classification task of the XOR lo..

Hardware Implementation of a Neural Network Controller on FPGA for a Humanoid Robot Arm Abstract – This paper presents the design and the implementation of the neural network controller for a humanoid robot arm, the ROBOKER whose purpose is to work on behalf of of human workers. The radial basis function network is implemented on a field programmable gate array(FPGA). The design of the floating ..

Implementation of the RBF Neural Chip with the On-line Learning Back-Propagation Algorithm Abstract—This article presents the hardware implementation of the Radial Basis Function (RBF) neural network whose internal weights are updated in the real time fashion by the back-propagation algorithm. The floating-point processor is designed on a field programmable gat array (FPGA) chip to execute nonli..

Implementation of neural network hardware based on a floating point operation in an FPGA Abstract : This paper presents a hardware design and implementation of the radial basis function (RBF) neural network (NN) by the hardware description language. Due to its nonlinear characteristics, it is very difficult to implement for a system with integer-based operation. To develop nonlinear functions su..

Hardware Implementation of Nonlinear PID Controller with FPGA Based on Floating Point Operation for 6-DOF Manipulator Robot Arm Abstract: This paper presents the FPGA implementation of nonlinear PID controllers for humanoid robot arms. To design the nonlinear PID controller on an FPGA chip, nonlinear functions as well as the conventional PID control algorithm have to be implemented by the hardwa..