Search results for: K. Hirasawa

Items from 1 to 20 out of 167 results

chapter

Monitoring of radiation dose distribution utilizing RPL in glass dosimeter — Its application to radioactive emergency sensing-

H. Nanto, K. Hirasawa, Y. Takei, Y. Yanagida, more

2017 IEEE SENSORS > 1 - 3

2017 IEEE SENSORS

In the decommissioning of the nuclear power plant, especially, for decontamination by radioactive substances caused by 2011 Fukushima nuclear power plant accident has affected the reconstruction after the earthquake, the dose evaluation and validation of the decontamination effect is very important. In order to prepare a novel passive-type dosimeter system which can applied to radiation dose monitoring...

article

Comparison of international normalized ratio audit parameters in patients enrolled in GARFIELD‐AF and treated with vitamin K antagonists

David A. Fitzmaurice, Gabriele Accetta, Sylvia Haas, Gloria Kayani, more

British Journal of Haematology > 174 > 4 > 610 - 623

Vitamin K antagonist (VKA) therapy for stroke prevention in atrial fibrillation (AF) requires monitoring of the international normalized ratio (INR). We evaluated the agreement between two INR audit parameters, frequency in range (FIR) and proportion of time in the therapeutic range (TTR), using data from a global population of patients with newly diagnosed non‐valvular AF, the Global Anticoagulant...

article

Forming of light-weight gear wheel by plate forging

Z.G. Wang, K. Hirasawa, Y. Yoshikawa, K. Osakada

CIRP Annals - Manufacturing Technology > 2016 > 65 > 1 > 293-296

A forging process is proposed to form light-weight gear wheels for the valve timing system of engine. The cross-sectional shape of the gear has a hollow space at the back of each tooth to reduce the weight by maintaining the rigidity. First, a cup shaped pre-form with a boss is made by upsetting, deep drawing and burring. Then the gear teeth are formed on the side wall by extrusion with a small reduction...

article

Global gene analysis identifying genes commonly regulated by the Ras/Raf/MEK and type I IFN pathways

Y. Komatsu, K. Hirasawa, S.L. Christian

Genomics Data > 2015 > 4 > Complete > 84-87

Oncolytic viruses exploit alterations in cancer cells to specifically infect cancer cells but not normal healthy cells. Previous work has shown that oncogenic Ras interferes with interferon (IFN) signaling to promote viral replication. Furthermore, inhibition of the Ras/Raf/MEK/ERK pathway at the level of Ras, MEK, or ERK was sufficient to restore IFN signaling. In order to identify genes that were...

article

Optically stimulated luminescence in x-ray irradiated xSnO–(25−x)SrO–75B2O3 glass

H. Nanto, R. Nakagawa, Y. Takei, K. Hirasawa, more

Nuclear Instruments and Methods in Physics Research Section A: Accelerators,... > 2015 > 784 > C > 14-16

An intense optically stimulated luminescence (OSL) was observed, for the first time, in x-ray irradiated xSnO–(25−x)SrO–75B₂O₃ glass. It was found that the peak wavelength of OSL emission spectrum and its stimulation spectrum is about 400nm and 600nm, respectively. The OSL intensity is depended on the SnO contents (x=0.05–1.5 ) and the most intense OSL was observed in 1.0mol% SnO doped glass. It was...

chapter

Adaptive predictor for control of nonlinear systems based on neurofuzzy models

J. Hu, K. Hirasawa, K. Kumamaru

1999 European Control Conference (ECC) > 4337 - 4342

1999 European Control Conference (ECC)

This paper proposes a general nonlinear adaptive predictor using a class of neurofuzzy models. The obtained predictor may be seen as a linear predictor network consisting of a global linear predictor and several local linear predictors with interpolation. It has distinctive features as well as good prediction ability: its parameters have explicit meanings useful for initial values setting: it may...

article

SMAD3 is up-regulated in human osteoarthritic cartilage independent of promoter dna ‎methylation

E. Aref-Eshghi, M. Liu, S.B. Razavi-Lopez, K. Hirasawa, more

Osteoarthritis and Cartilage > 2015 > 23 > Supplement 2 > A196

chapter

Ionizing radiation sensors utilizing optically stimulated luminescence in SnO-doped SrO-B₂O₃ and ZnO-P₂O₅ glass

H. Nanto, R. Nakagawa, Y. Takei, K. Hirasawa, more

IEEE SENSORS 2014 Proceedings > 416 - 419

2014 IEEE Sensors

Optically stimulated luminescence (OSL) phenomenon is based on the presence of electron and/or hole traps and luminescence centers in storage phosphor materials. During exposure to ionizing radiation such as x-ray, γ-ray and β-ray, the traps are occupied with charged carriers such as electrons and holes that are created by irradiation with ionizing radiation. De-trapping of these carriers requires...

article

A new hole-flanging method for thick plate by upsetting process

Qi-quan LIN, Wen-zheng DONG, Zhi-gang WANG, Katsuyoshi HIRASAWA, more

Transactions of Nonferrous Metals Society of China > 2014 > 24 > 7 > 2387-2392

Flange height and lip accuracy are generally restricted by the formability of sheet metals in the conventional hole-flanging operation. A new hole-flanging process, named upsetting-flanging process, was proposed to obtain a more substantial flange from thick plate. The finite element method (FEM) with DEFORM was utilized to simulate the novel upsetting–flanging process and the influence of geometric...

article

The prediction error of the visual field sensitivity is large at the steep ‘border’ of glaucomatous scotoma

Y AOYAMA, H MURATA, M TAHARA, M YANAGISAWA, more

Acta Ophthalmologica > 91 > s252 > 0 - 0

Purpose To create a method to identify the edge of visual field (VF) scotoma and to investigate the relationship between the steepness of the ‘border’ of scotoma and the prediction error of VF sensitivity. Methods Twenty‐two glaucomatous patients with reliable VFs were recruited. Then, using the latest VFs (Humphrey 24‐2) of these patients, the gradient of the plane on the hill of vision is calculated...

article

Automated Map Comparison using Non-invariant Fourier Descriptors

R. Ouellette, K. Hirasawa

Journal of Automation Mobile Robotics and Intelligent Systems > 2012 > Vol. 6, No. 1 > 15-21

In this paper, we use non-invariant Fourier descriptors to derive transformation variables which allow us to optimally localize and reorient robot-generated maps based on the map shapes in order to determine, in an automated way, the accuracy of the generated maps. Our method uses only 4 simple calculations for alignment, therefore is extremely fast and gives a very good optimization for data maps...

article

An Intrusion-Detection Model Based on Fuzzy Class-Association-Rule Mining Using Genetic Network Programming

Shingo Mabu, Ci Chen, Nannan Lu, K Shimada, more

IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications... > 2011 > 41 > 1 > 130 - 139

As the Internet services spread all over the world, many kinds and a large number of security threats are increasing. Therefore, intrusion detection systems, which can effectively detect intrusion accesses, have attracted attention. This paper describes a novel fuzzy class-association-rule mining method based on genetic network programming (GNP) for detecting network intrusions. GNP is an evolutionary...

chapter

Robust genetic network programming on asset selection

V Parque, S Mabu, K Hirasawa

TENCON 2010 - 2010 IEEE Region 10 Conference > 1021 - 1026

2010 IEEE Region 10 Conference (TENCON 2010)

Financial innovation is continuously testing the asset selection models, which are the key both for building robust portfolios and for managing diversified risk. This paper describes a novel evolutionary based scheme for the asset selection using Robust Genetic Network Programming(r-GNP). The distinctive feature of r-GNP lies in its generalization ability when building the optimal asset selection...

chapter

Probabilistic model building Genetic Network Programming using multiple probability vectors

Xianneng Li, S Mabu, M K Mainali, K Hirasawa

TENCON 2010 - 2010 IEEE Region 10 Conference > 1398 - 1403

2010 IEEE Region 10 Conference (TENCON 2010)

As an extension of GA and GP, a new evolutionary algorithm named Genetic Network Programming (GNP) has been proposed. GNP uses the directed graph structure to represent its solutions, which can express the dynamic environment efficiently. The reusable nodes of GNP can construct compact structures, leading to a good performance in complex problems. In addition, a probabilistic model building GNP named...

chapter

Implicit Feature-Based Alignment System for Radiotherapy

R Yamakoshi, K Hirasawa, H Okuda, H Kage, more

2010 20th International Conference on Pattern Recognition > 2286 - 2289

2010 20th International Conference on Pattern Recognition (ICPR 2010)

In this paper we present a robust alignment algorithm for correcting the effects of out-of-plane rotation to be used for automatic alignment of the Computed Tomography (CT) volumes and the generally low quality fluoroscopic images for radiotherapy applications. Analyzing not only in-plane but also out-of-plane rotation effects on the Dignitary Reconstructed Radiograph (DRR) images, we develop simple...

chapter

Guiding the evolution of Genetic Network Programming with reinforcement learning

QingBiao Meng, S Mabu, Yu Wang, K Hirasawa

IEEE Congress on Evolutionary Computation > 1 - 8

2010 IEEE Congress on Evolutionary Computation

Genetic Network Programming (GNP) is one of the evolutionary algorithms. It adopts a directed graph structure to represent a solution to a given problem. Agents judge situations and execute actions sequentially following the node transitions in the graph. On one hand, GNP possesses an advantage of node reusability, which makes it possible to realize a compact graph structure that represents a solution...

chapter

Classification based on a multi-dimensional probability distribution and its application to network intrusion detection

S Mabu, Wenjing Li, Nannan Lu, Yu Wang, more

IEEE Congress on Evolutionary Computation > 1 - 7

2010 IEEE Congress on Evolutionary Computation

With the rapid growth of the Internet, to make sure of the computer security has been a crucial problem, therefore, many techniques for Intrusion detection have been proposed in order to detect network attacks efficiently. On the other hand, data mining algorithms based on Genetic Network Programming (GNP) have been proposed recently. GNP is a graph-based evolutionary algorithm and can extract many...

chapter

A portfolio selection strategy using Genetic Relation Algorithm

Yan Chen, S Mabu, K Hirasawa

IEEE Congress on Evolutionary Computation > 1 - 7

2010 IEEE Congress on Evolutionary Computation

This paper proposes a new strategy β-GRA for portfolio selection in which the return and risk are considered as measures of strength in Genetic Relation Algorithm (GRA). Since the portfolio beta β efficiently measures the volatility relative to the benchmark index or the capital market, β is usually employed for portfolio evaluation or prediction, but scarcely for portfolio construction process. The...

chapter

Effects of a wire beneath the ground plane on antenna coupling through a slot

T Morioka, K Hirasawa

2010 IEEE International Symposium on Electromagnetic Compatibility > 440 - 444

2010 IEEE International Symposium on Electromagnetic Compatibility - EMC 2010

Antenna characteristics, such as input impedance are considerably deviated from those in free space when another antenna is located in the vicinity of the antenna. This often causes system degradation problems. In the present paper, effects of a parasitic wire located beneath the slotted ground plane are investigated on the coupling between monopole antennas above the ground plane. The method of moments...

chapter

Generating stock trading signals based on matching degree with extracted rules by genetic network programming

Shingo Mabu, Yuzhu Lian, Yan Chen, K Hirasawa

Proceedings of SICE Annual Conference 2010 > 1164 - 1169

SICE 2010 - 49th Annual Conference of the Society of Instrument and Control Engineers of Japan

When action rules of agents are created by evolutionary computation, it generally aims to create optimal individual which represents optimal rules. On the other hand, genetic network programming (GNP) with rule accumulation extracts a large number of rules throughout the generations and store them in the rule pools. In other words, the individuals of GNP with rule accumulation are regarded as rule...

Publication date

Set your own date range

Content availability

Available (157)
None (10)

Publication type

book (136)
article (31)

Keywords

GENETIC ALGORITHMS (102)
GENETIC NETWORK PROGRAMMING (87)
DATA MINING (56)
ECONOMIC INDICATORS (53)
EVOLUTIONARY COMPUTATION (48)
GENETICS (48)
ASSOCIATION RULES (29)
DIRECTED GRAPHS (28)
DATABASES (19)
TRAINING (19)
PROGRAMMING (18)
STOCK MARKETS (17)
LEARNING (ARTIFICIAL INTELLIGENCE) (16)
LIFTS (16)
GENETIC ALGORITHM (14)
DIRECTED GRAPH STRUCTURE (13)
DYNAMIC PROGRAMMING (11)
FUZZY SET THEORY (11)
GRAPH THEORY (11)
PATTERN CLASSIFICATION (11)
ROADS (10)
TESTING (10)
CLASS ASSOCIATION RULE MINING (9)
CLASSIFICATION (9)
CONTROL SYSTEMS (9)
ELEVATORS (9)
GALLIUM (9)
REINFORCEMENT LEARNING (9)
ROAD TRAFFIC (9)
ACCURACY (8)
ASSOCIATION RULE MINING (8)
DIRECTED GRAPH (8)
EVOLUTIONARY METHOD (8)
GENETIC PROGRAMMING (8)
DIRECTED GRAPH STRUCTURES (7)
ELEVATOR GROUP SUPERVISORY CONTROL SYSTEM (7)
EVOLUTIONARY ALGORITHM (7)
LEARNING SYSTEMS (7)
SEARCH PROBLEMS (7)
TILES (7)
TRAFFIC ENGINEERING COMPUTING (7)
CANDLESTICK CHART (6)
CORRELATION (6)
DATABASE MANAGEMENT SYSTEMS (6)
GENETIC RELATION ALGORITHM (6)
IEEE (6)
NEURAL NETWORKS (6)
PORTFOLIOS (6)
ARTIFICIAL INTELLIGENCE (5)
BOLTZMANN DISTRIBUTION (5)
CONVERGENCE (5)
DOUBLE-DECK ELEVATOR SYSTEM (5)
FLOORS (5)
GRAPH-BASED EVOLUTIONARY ALGORITHM (5)
INVESTMENT (5)
NEURAL NETS (5)
PROBABILISTIC LOGIC (5)
Q VALUE-BASED DYNAMIC PROGRAMMING (5)
SECURITY OF DATA (5)
TIME SERIES (5)
UHF ANTENNAS (5)
ADAPTIVE CONTROL (4)
ANTENNA RADIATION PATTERNS (4)
ASSOCIATION RULE EXTRACTION (4)
CONTROL NODES (4)
DECISION MAKING (4)
DELAY EFFECTS (4)
DOUBLE-DECK ELEVATOR SYSTEMS (4)
EVOLUTION (BIOLOGY) (4)
FEATURE EXTRACTION (4)
GENERALISATION (ARTIFICIAL INTELLIGENCE) (4)
GNP (4)
GRAPH-BASED EVOLUTIONARY METHOD (4)
INDEXES (4)
MULTI-AGENT SYSTEMS (4)
NETWORK INTRUSION DETECTION (4)
ONTOLOGIES (ARTIFICIAL INTELLIGENCE) (4)
OPTIMIZATION (4)
PERPENDICULAR MAGNETIC RECORDING (4)
PROBABILITY DENSITY FUNCTION (4)
RASID-GA (4)
RECEIVING ANTENNAS (4)
RULE EXTRACTION (4)
STATISTICAL DISTRIBUTIONS (4)
STOCK MARKET (4)
STOCK TRADING MODEL (4)
TRAFFIC PREDICTION (4)
TRANSPORTATION (4)
ADAPTIVE RANDOM SEARCH (3)
ANOMALY DETECTION (3)
ANT COLONY OPTIMIZATION (3)
ANTENNA FEEDS (3)
ARTIFICIAL INTELLIGENCE TECHNOLOGY (3)
ARTIFICIAL NEURAL NETWORKS (3)
BUILDINGS (3)
CHI-SQUARED TEST (3)
DOUBLE-DECK ELEVATOR GROUP SUPERVISORY CONTROL SYSTEM (3)
DYNAMIC THRESHOLD APPROACH (3)
EVOLUTIONARY COMPUTATION METHOD (3)
EVOLUTIONARY OPTIMIZATION (3)
more

Data set

ieee (152)
Elsevier (10)
Wiley (2)
ACS (1)
BazTech (1)
Springer (1)

INFONA - science communication portal

Search results for: K. Hirasawa

Monitoring of radiation dose distribution utilizing RPL in glass dosimeter — Its application to radioactive emergency sensing-

Comparison of international normalized ratio audit parameters in patients enrolled in GARFIELD‐AF and treated with vitamin K antagonists

Forming of light-weight gear wheel by plate forging

Global gene analysis identifying genes commonly regulated by the Ras/Raf/MEK and type I IFN pathways

Optically stimulated luminescence in x-ray irradiated xSnO–(25−x)SrO–75B2O3 glass

Adaptive predictor for control of nonlinear systems based on neurofuzzy models

SMAD3 is up-regulated in human osteoarthritic cartilage independent of promoter dna ‎methylation

Ionizing radiation sensors utilizing optically stimulated luminescence in SnO-doped SrO-B₂O₃ and ZnO-P₂O₅ glass

A new hole-flanging method for thick plate by upsetting process

The prediction error of the visual field sensitivity is large at the steep ‘border’ of glaucomatous scotoma

Automated Map Comparison using Non-invariant Fourier Descriptors

An Intrusion-Detection Model Based on Fuzzy Class-Association-Rule Mining Using Genetic Network Programming

Robust genetic network programming on asset selection

Probabilistic model building Genetic Network Programming using multiple probability vectors

Implicit Feature-Based Alignment System for Radiotherapy

Guiding the evolution of Genetic Network Programming with reinforcement learning

Classification based on a multi-dimensional probability distribution and its application to network intrusion detection

A portfolio selection strategy using Genetic Relation Algorithm

Effects of a wire beneath the ground plane on antenna coupling through a slot

Generating stock trading signals based on matching degree with extracted rules by genetic network programming

Filter options

Publication date

Content availability

Publication type

Keywords

Data set

Journal

INFONA - science communication portal

Search results for: K. Hirasawa

Add recipient

Sending message cancelled

Are you sure you want to cancel sending this message?

Send message

Filter options

Publication date

Date range setting

Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.

Content availability

Publication type

Keywords

Data set

Journal

Reporting an error / abuse

Sending the report failed

Accessibility options