Mitsubishi Electric

About: Mitsubishi Electric is a company organization based out in Ratingen, Germany. It is known for research contribution in the topics: Signal & Voltage. The organization has 23024 authors who have published 27591 publications receiving 255671 citations. The organization is also known as: Mitsubishi Electric Corporation & Mitsubishi Denki K.K..

Integer Variable Χ---Based Ate Pairing

Abstract: In implementing an efficient pairing calculation, it is saidthat the lower bound of the number of iterations of Miller'salgorithm is log2r/φ(k),where φ(·) is the Euler's function. Ate pairingreduced the number of the loops of Miller's algorithm of Tatepairing from $\lfloor\log_2r\rfloor$ to $\lfloor\log_2(t-1)\rfloor$. Recently, it is known to systematicallyprepare a pairing---friendly elliptic curve whose parameters aregiven by a polynomial of integer variable "Χ". For thecurve, this paper gives integer variable Χ---basedAte pairing that achieves the lower bound byreducing it to $\lfloor\log_2\chi\rfloor$.

Power semiconductor module

Abstract: A wiring process between the provided power semiconductor module and the external circuit is simple. In the power semiconductor module, a power semiconductor element and a cylindrical conductor are joined to one surface of a lead frame. An opening of the cylindrical conductor is exposed at a surface of transfer molding resin. Sealing with the transfer molding resin is performed such that terminal portions of the lead frame protrude from peripheral side portions of the transfer molding resin. The cylindrical conductor is conductive with a control circuit. The terminal portions of the lead frame are each conductive with a main circuit.

Electric power-steering controller

Abstract: The object of the present invention is to provide an electric power steering controller in which a redundant system equal to that with a relay is configured, without incurring the upsizing or deterioration in reliability, of the controller. An electric power steering controller involving the present invention is provided with a motor for providing a steering system with output torque; a motor driving circuit for driving the motor; a microcontroller for calculating a current to be applied to the motor; a gate driver for driving a plurality of switching devices constituting a bridge circuit, based on the result of the calculation by the microcontroller; and a switching portion for cutting off the power supply to the gate driver.

An ultra-broad-band reflection-type phase-shifter MMIC with series and parallel LC circuits

Abstract: An ultra-broad-band reflection-type phase shifter is proposed. Theoretically, the proposed phase shifter has frequency-independent characteristics in the case of 180/spl deg/ phase shift. The phase shifter is composed of a 3-dB hybrid coupler and a pair of novel reflective terminating circuits. The reflective terminating circuit switches two states of series and parallel LC circuits. Using an ideal circuit model without parasitic circuit elements, we have derived the determining condition of frequency independence of circuit elements. Extending the concept, we can also obtain a broad-band phase shifter for other phase difference as well. In this case, for a given phase difference and an operating frequency, we also derive a condition to obtain minimum variation of phase difference around the operating frequency. This enables the broad-band characteristics for arbitrary phase difference. The fabricated 180/spl deg/ reflective terminating circuit monolithic microwave integrated circuit (MMIC) has achieved a phase difference of 183/spl deg/ /spl plusmn/ 3 over 0.5-30 GHz. The 180/spl deg/ phase-shifter MMIC has demonstrated a phase shift of 187/spl deg/ /spl plusmn/ 7/spl deg/ over 0.5-20 GHz. The 90/spl deg/ reflective terminating circuit MMIC has performed a phase difference of 93/spl deg/ /spl plusmn/ 7/spl deg/ over 4-12 GHz.

Deep Reinforcement Learning for Joint Bidding and Pricing of Load Serving Entity

Abstract: In this paper, we address the problem of jointly determining the energy bid submitted to the wholesale electricity market (WEM) and the energy price charged in the retailed electricity market (REM) for a load serving entity (LSE). The joint bidding and pricing problem is formulated as a Markov decision process (MDP) with continuous state and action spaces in which the energy bid and the energy price are two actions that share a common objective. We apply the deep deterministic policy gradient (DDPG) algorithm to solve this MDP for the optimal bidding and pricing policies. Yet, the DDPG algorithm typically requires a significant number of state transition samples, which are costly in this application. To this end, we apply neural networks to learn dynamical bid and price response functions from historical data to model the WEM and the collective behavior of the end use customers (EUCs), respectively. These response functions explicitly capture the inter-temporal correlations of the WEM clearing results and the EUC responses and can be utilized to generate state transition samples without any cost. More importantly, the response functions also inform the choice of states in the MDP formulation. Numerical simulations illustrated the effectiveness of the proposed methodology.