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A study on land ownership and land use in the former Bluff Settlement of Yokohama during the Grate Kanto Earthquake reconstruction period
Get PDF横浜国立大学博士（工学
A study of passive intermodulation non-contact measurement system for planar transmission lines
Get PDF横浜国立大学博士(工学
Development of quantitative evaluation method for the occurrence of collisions between ships for complex maritime traffic flows and its application to safe navigation techniques
Get PDF横浜国立大学博士（工学）この学位論文の全文は、中央図書館で平日17時までに申請することで閲覧が可能です
The Study on the theory of tax income calculation structure and capital concept
Get PDF横浜国立大学博士（経営学）この学位論文の全文は、中央図書館で平日17時までに申請することで閲覧が可能です
Design of Single-Electron Circuit Representing Brownian Motion of Particles to Implement Circuit Capable of Computing Diffusion Limited Aggregation Model
Get PDFWe propose a new single-electron circuit that can calculate Diffusion Limited Aggregation (DLA) simulation model. DLA can be observed in nature, such as the growth of metal dendrite. To calculate DLA model, representation of particles’ Brownian motion as a circuit operation is important. For this, the Brownian motion was represented on the single-electron circuit by node voltage changes of arrayed single-electron oscillators in it as the first step of this study. As the results, the obtained behavior was close to Brownian motion as we desired.IEEE Silicon Nanoelectronics Workshop 2024
June 15-16, 2024
Hilton Hawaiian Village, Honolulu, HI, US
A Variable-Length Fuzzy Set Representation for Learning Fuzzy-Classifier Systems
Get PDFThis paper introduces a novel Learning Fuzzy-Classifier System (LFCS) that incorporates variable-length fuzzy sets in rule antecedents to enhance classification accuracy and mitigate overfitting in real-world data scenarios. Traditional LFCSs utilize fixed-length fuzzy sets, which can limit their performance, especially when the rule set size is restricted in high-dimensional input space. The proposed algorithm, Fuzzy-UCSv (i.e., the Fuzzy-UCS classifier system with a variable-length fuzzy set representation), addresses these limitations by allowing the number of fuzzy sets per dimension in rule-antecedents to vary. Fuzzy-UCSv aims to tackle two primary challenges identified in LFCS: the unnecessary optimization of membership functions for irrelevant features and the difficulty in forming optimal classification boundaries with a single membership function per feature. By optimizing the number of membership functions for each rule using an evolutionary algorithm, Fuzzy-UCSv acquires rules that ignore non-contributing features and effectively cover complex input spaces, significantly improving test accuracy without increasing the risk of overfitting. Experimental results demonstrate that Fuzzy-UCSv outperforms conventional Fuzzy-UCS and other machine learning techniques in terms of test accuracy.18th International Conference on
Parallel Problem Solving From Nature
PPSN 2024
September 14 - 18, 2024
Hagenberg, Austri
Passive Broadband Harmonic Sensor-Tag using Circular Disk Dipole Antenna
Get PDFThe proposed passive chipless harmonic RFID tag composed of single antenna is able to produce transmissionzero depending on the built-in sensor voltage. To allow wide frequency shift, a circular-disk dipole antenna with broadband characteristics is employed. All the circuits are designed as sufficiently small to be built on its one-side element disk. For basic consideration, a variable DC-voltage source is used as an equivalent model of sensors. As described in this paper, characteristics of the antenna and circuit examined in 2.45 GHz/4.9 GHz band are presented through an electromagnetic simulation and a RF-circuit simulation with harmonic balance method, and partially measurements.2024 IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNeT)
Date of Conference: 21-24 January 2024
Conference Location: San Antonio, TX, US
