Institution
Mitsubishi Electric
Company•Ratingen, Germany•
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..
Topics: Signal, Voltage, Layer (electronics), Terminal (electronics), Electrode
Papers published on a yearly basis
Papers
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TL;DR: This article analyzes several main challenges of SAGINs and explains how these problems can be solved by AI, and considers the satellite traffic balance as an example and proposes a deep learning based method to improve traffic control performance.
Abstract: It is widely acknowledged that the development of traditional terrestrial communication technologies cannot provide all users with fair and high quality services due to the scarce network resource and limited coverage areas. To complement the terrestrial connection, especially for users in rural, disaster-stricken, or other difficult-to-serve areas, satellites, unmanned aerial vehicles (UAVs), and balloons have been utilized to relay the communication signals. On the basis, Space-Air-Ground Integrated Networks (SAGINs) have been proposed to improve the users' Quality of Experience (QoE). However, compared with existing networks such as ad hoc networks and cellular networks, the SAGINs are much more complex due to the various characteristics of three network segments. To improve the performance of SAGINs, researchers are facing many unprecedented challenges. In this paper, we propose the Artificial Intelligence (AI) technique to optimize the SAGINs, as the AI technique has shown its predominant advantages in many applications. We first analyze several main challenges of SAGINs and explain how these problems can be solved by AI. Then, we consider the satellite traffic balance as an example and propose a deep learning based method to improve the traffic control performance. Simulation results evaluate that the deep learning technique can be an efficient tool to improve the performance of SAGINs.
66 citations
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02 Aug 2011TL;DR: In this article, the heat exchanger is configured in such a way that the air-flow resistance of an area facing the outer peripheral side of the fan is larger than the air flow resistance of the area facing a center portion.
Abstract: An indoor unit (100) includes a casing (1) having a suction port (2) formed on an upper portion and a blow-out port (3) on a lower side of a front surface portion, an axial-flow or mixed-flow fan (20) provided on the downstream side of the suction port (2) in the casing (1), and a heat exchanger (50) provided in the casing (1) at a position on the downstream side of the fan (20) and on the upstream side of the blow-out port (3). The heat exchanger (50) includes a plurality of fins (56) arranged side by side with predetermined gaps therebetween and a plurality of heat-transfer tubes (57) penetrating through the plurality of fins (56). The heat exchanger is configured in such a manner that the air-flow resistance of an area facing the outer peripheral side of the fan (20) is larger than the air-flow resistance of an area facing a center portion of the fan (20).
66 citations
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01 Nov 2011TL;DR: In this paper, a high-pass filter for extracting an AC component of DC link voltage, and a gain section for outputting a correction signal obtained by multiplying the AC component by a gain are used to suppress the resonance of a DC link section.
Abstract: A resonance suppression control block includes a high-pass filter for extracting an AC component of DC link voltage, and a gain section for outputting a correction signal obtained by multiplying the AC component by a gain A control unit controls an inverter based on a signal obtained by adding the correction signal to the voltage instruction Thus, a power conversion apparatus with a simple configuration can be obtained that can suppress resonance of a DC link section and omit extra work for performing adjustment again in accordance with a power supply frequency
66 citations
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TL;DR: In this paper, a voltage generator for gigascale DRAM's with a negative word-line scheme is described, which combines a charge-pump regulator and a series-pass regulator, and also includes a positive and negative offset voltage generator that uses a bandgap generator with a differential amplifier.
Abstract: A precise on-chip voltage generator for gigascale DRAM's with a negative word-line scheme is described. It combines a charge-pump regulator and a series-pass regulator, and it also includes a positive and negative offset voltage generator that uses a bandgap generator with a differential amplifier. The proposed circuit was experimentally evaluated with a test device fabricated using a 0.3-/spl mu/m process. The simulation results show that the series-pass regulator suppresses the noise on a word-line low voltage (negative) to below 30 mV for the word-line transient and V/sub BB/ bouncing. A dc-voltage error of less than 6% without trimming is confirmed for the positive and negative offset voltage generator through the test device. These results show that the described scheme can be used in future low-voltage gigascale DRAM's.
66 citations
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21 Jan 2008TL;DR: In this paper, the length of each side of the equilateral triangle is made to be a maximum communication distance of the wireless base station 1 to a terminal 2 to be measured by wireless communication.
Abstract: To provide a positioning system that clearly defines a disposition of a base station for identifying a position of a radio set. While a wireless base station 1 that transmits and receives a distance-measuring signal to and from a terminal 2 to be measured by wireless communication is disposed at each corner forming an equilateral triangular, the length of each side of the equilateral triangle is made to be a maximum communication distance of the wireless base station 1.
66 citations
Authors
Showing all 23025 results
Name | H-index | Papers | Citations |
---|---|---|---|
Ron Kikinis | 126 | 684 | 63398 |
William T. Freeman | 113 | 432 | 69007 |
Takashi Saito | 112 | 1041 | 52937 |
Andreas F. Molisch | 96 | 777 | 47530 |
Markus Gross | 91 | 588 | 32881 |
Michael Wooldridge | 87 | 543 | 50675 |
Ramesh Raskar | 86 | 670 | 30675 |
Dan Roth | 85 | 523 | 28166 |
Joseph Katz | 81 | 691 | 27793 |
James S. Harris | 80 | 1152 | 28467 |
Michael Mitzenmacher | 79 | 422 | 36300 |
Hanspeter Pfister | 79 | 466 | 23935 |
Dustin Anderson | 78 | 607 | 28052 |
Takashi Hashimoto | 73 | 983 | 24644 |
Masaaki Tanaka | 71 | 860 | 22443 |