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RISS 인기검색어
- 검색키워드
- 저자 : Hiroshi Kameda (검색결과 5 건)
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Takayuki Kameda,Hiroshi Bandow 한국대기환경학회 2021 Asian Journal of Atmospheric Environment (AJAE) Vol.15 No.1
Nitrotriphenylenes (NTPs), which include the highly mutagenic isomer 2-nitrotriphenylene (2-NTP), have been detected in airborne particles. From a public hygienic point of view, it is necessary to study the environmental occurrence of NTPs in detail. In this study, concentrations of five nitrated polycyclic aromatic hydrocarbons (nitro-PAHs) including NTPs in airborne particles and of nitrogen oxides (NOx; NO+NO2) and carbon monoxide (CO), at a location in South Osaka, Japan, were measured at 3 h intervals. It was found that the diurnal variations in the concentrations of 1-nitropyrene (1-NP), NOx, and CO were similar, being high early in the morning and late in the evening. This finding indicates that the occurrence of 1-NP is affected significantly by primary emissions, particularly by automotive emissions. The concentration change in 1-nitrotriphenylene was similar to that of 2-nitropyrene produced by an atmospheric OH radicalinitiated reaction. On the contrary, the variations in the concentrations of 2-nitrofluoranthene (2-NF) and 2-NTP were significantly different from those of the other nitro-PAHs, i.e., their concentrations increased during the nighttime, suggesting that neither 2-NF nor 2-NTP was emitted from the primary sources, but were formed via the NO3 radicalinitiated nitration of the parent fluoranthene and triphenylene (TP) in the atmosphere. Based on the ambient concentration of 2-NTP and the reported rate constant for the reaction of TP with NO3 radicals, the yield of 2-NTP from the gas-phase NO3 radical-initiated reaction of TP was estimated to be 23%.
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An Analysis of 2D/3D Data Fusion for a Sensor Resource Reduction
Takashi Matsuzaki,Mitsuhisa Ikeda,Hiroshi Kameda 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
In tracking flying objects using 3D sensors which observe range and angle observations such as elevation and azimuth in 3D sensor system, there may not be enough 3D sensor resources such as a number of radar and radar beams. In consequence, it it difficult to achieve desired tracking accuracy due to the lack of 3D sensor coverage, it cannot be done to achieve users’ desired tracking accuracy. Therefore, to apply 2D sensors for 3D sensor system is needed in term of filling some blank of 3D sensor coverage, and moreover it is necessary to minimize the 3D sensor resources at the same time. 2D sensor observes angle observations (elevation and azimuth). In SICE2008, we have already proposed a 2D/3D Data Fusion method for launched target. However, this method is not confirmed in any condition, for example, situation based on combination of number of sensors, the location of sensors and performance of sensors, etc. In this paper, we carried on a sensitivity analysis of tracking accuracy for various location of 2D sensor platform with different location of 3D sensors, and various sensors, etc. As the result of the computer simulations, we could confirm one or two 3D sensors with 2D sensor system are superior to three 3D sensor system in a view point of tracking accuracy.
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Asynchronous Track Algorithm Using TDOA/FDOA Measurements in the Distributed Sensor Network
Yuki TAKABAYASHI,Takashi MATSUZAKI,Hiroshi KAMEDA,Masayoshi ITO 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
This paper proposes a target tracking algorithm using asynchronous TDOA(Time Difference of Arrival) and FDOA(Frequency Difference of Arrival) measurements for a single target in a distributed sensor network. A conventional algorithm, target localization through TDOA measurements cannot estimate target position when the number of TDOA measurements are not enough for localization at the same time. Thereby, track initialization time is delayed and track accuracy deteriorates in case of that probability of measurements detection for each sensor is low. Our algorithm uses TDOA and FDOA measurements at the different time to compute the position and velocity estimates. Through computer simulation trials, the validity of our algorithm is confirmed.
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Tracking Algorithm Inheriting Smoothing Vector in Splitting Target Tracking
Yasushi Obata,Ryoji Maekawa,Masayoshi Ito,Hiroshi Kameda,Yoshio Kosuge 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
To track splitting targets using radar measurements, the tracking algorithm is required tomaintain the track of the existing target and to initiate a track of new target. In this paper, we proposethe Track Oriented MHT (Multiple Hypothesis Tracking) using the smoothing velocity test. In the proposed algorithm, the smoothing velocity vector of existing track is inherited in the new track.Through simulations, we show that the MHT’s success rate of both maintaining the existing track and initiating the new track, is 96%. Furthermore, we show that the improved method has an effect ofreducing the probability of false track establishment.
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Dau, Pham Thi,Sakai, Hiroki,Hirano, Masashi,Ishibashi, Hiroshi,Tanaka, Yuki,Kameda, Kenji,Fujino, Takahiro,Kim, Eun-Young,Iwata, Hisato Academic Press 2013 Toxicological sciences Vol.131 No.1
<P>The constitutive androstane receptor (CAR) not only displays a high basal transcriptional activity but also acts as a ligand-dependent transcriptional factor. It is known that CAR exhibits different ligand profiles across species. However, the mechanisms underlying CAR activation by chemicals and the species-specific responses are not fully understood. The objectives of this study are to establish a high-throughput tool to screen CAR ligands and to clarify how CAR proteins from the Baikal seal (bsCAR) and the mouse (mCAR) interact with chemicals and steroid receptor coactivator 1 (SRC1). We developed the surface plasmon resonance (SPR) system to assess quantitatively the interaction of CAR with potential ligands and SRC1. The ligand-binding domain (LBD) of bsCAR and mCAR was synthesized in a wheat germ cell-free system. The purified CAR LBD was then immobilized on the sensor chip for the SPR assay, and the kinetics of direct interaction of CARs with ligand candidates was measured. Androstanol and androstenol, estrone, 17β-estradiol, TCPOBOP, and CITCO showed compound-specific but similar affinities for both CARs. The CAR-SRC1 interaction was ligand dependent but exhibited a different ligand profile between the seal and the mouse. The results of SRC1 interaction assay accounted for those of our previous in vitro CAR-mediated transactivation assay. In silico analyses also supported the results of CAR-SRC1 interaction; there is little structural difference in the ligand-binding pocket of bsCAR and mCAR, but there is a distinct discrimination in the helix 11 and 12 of these receptors, suggesting that the interaction of ligand-bound CAR and SRC1 is critical for determining species-specific and ligand-dependent transactivation over the basal activity. The SPR assays demonstrated a potential as a high-throughput screening tool of CAR ligands.</P>
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