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3. Radar Cross-Section Modelling of Simple Shape of Radar Target through HFSS and MATLAB Simulations

Author

Ja’afar P N, Idrus S M, Ambran S, Mohamed N, Iqbal F, Hassan W H W, Shibagaki N, and Kashima K

Abstract

This study presents a comparative analysis of radar cross section (RCS) simulations using Ansys High-Frequency Simulation Software (HFSS) and MATLAB. The primary objective is to evaluate the accuracy and consistency of RCS calculations performed by these two software tools for metallic cylinders. Metallic cylinders are selected as radar targets due to their well-defined and standardized shapes, which enable easier modeling and comparative analysis. To validate the RCS simulations, actual RCS measurements were conducted on an airport runway. The measurements took place at Kuala Lumpur International Airport (KLIA) using an FOD detection system operating at 93.1 GHz. By comparing the measured RCS data with the simulations results, the agreement and reliability of the simulation techniques were assessed, considering metallic cylinders of six different sizes. The findings indicate that the RCS values obtained from measurements align with the simulation results, exhibiting a similar RCS pattern. Both simulations exhibit minimal discrepancies, ranging between 0.01 to 0.1 dBsm. Through the analysis of the simulation results and measurements, valuable insight were gained regarding the performance and effectiveness of HFSS and MATLAB in predicting RCS values. Consequently, this study contributes to the understanding and validation of RCS simulation techniques and their practical applicability in real-world scenarios.

Published
2023

4. Metallic Cylinder Reflected Power Measurement For 93.1GHz Frequency Modulated Continuous Wave Radar Calibration

Author

Ja’afar, P. N., Idrus, S. M., Ambran, S., Yusri, N. A., Mohamed, N., Hamzah, A., Shibagaki, N., Kashima, K., Hayashi, T., Ja’afar, P. N., Idrus, S. M., Ambran, S., Yusri, N. A., Mohamed, N., Hamzah, A., Shibagaki, N., Kashima, K., and Hayashi, T.

Abstract

A metallic cylinder is one of the best materials and shapes to calibrate a radar system performance. The measurement of a 4cm diameter and 3cm-height metallic cylinder as a target has been presented for the analysis at the millimeter-wave (mm-wave) spectrum. This experiment was conducted in a real airport environment at Kuala Lumpur International Airport considering clear sky conditions. The measurement was carried out at 93.1 GHz which uses Frequency Modulated Continuous Wave (FMCW) radar to consistently detect the target. The radar cross-section (RCS) of the metallic cylinder is measured with respect to the angle of runway pavement. It is found that the measurements exhibited smaller RCS value with an average of –43.47 dBsm at a longer range compared to –30.16 dBsm at a shorter range with a total change of 13.31 dBsm. The reflectivity characteristics of the radar target, theoretical measurement of the metallic cylinder, its incident angle from the radar target, and measurement evaluation are presented in this paper.

Published
2023

11. Abstracts from the sixth meeting of the international association of pancreatology, November 2–4, 1994, Chicago, IL

Author

Burdick, Michael, Hollingsworth, Tony, Gansauge, S., Gansauge, F., Link, K. H., Schoenberg, M. H., Poch, B., Beger, H. G., Wagner, A. C. C., Steffen, H., Göke, B., Gaisano, H. Y., Sheu, L., Foskett, J. K., Trimble, W. S., Lee, Y. L., Kwon, H. Y., Park, H. S., Lee, S. M., Park, H. J., aguchi, S., Green, G. M., Mitamura, K., Komatsu, Y., Arai, I., Yamaura, H., Wang, OJ, Adrian, TE, Teyssen, S., Niebel, W., Niebergall, E., Singer, M. V., Umehara, K, Ohara, T, Kataoka, K, Okamura, H, Kato, M, Sakagami, J, Ohta, A, Murase, M, Hosoda, M, Yamane, Y, Kashima, K, Ibata, Y, Balthazar, Emil J., Banks, P. A., Garzof, S. G., Langevin, R. E., Silverman, S. G., Sica, G. T., Bassi, C., Benini, A., Muner, A., Falconi, M., Abbas, H., Pederzoli, P., Salvia, R., Minelli, E. Bertazzoni, Shaskar, S. Shanmuga, Shearer, M. G., Imrie, C. W., Brodmerkel, G. J., Reed, P. A., Carr-Locke, DL, Musa, A, Lichtenstein, DR, Dam, J Van, Banks, PA, Eisele, S., Schoenberg, M. H., Böchjer, M., Beger, H. G., Foitzik, Th., Fern’andez-del Castillo, C., Rattner, D. W., Ferraro, M. J., Warshaw, A. L., Foitzik, Th., Schmidt, J., Hotz, H., Warshaw, A. L., Buhr, H. J., Klar, E., Heinisch, A., Kadow, R., Bioss, U., Schölmerich, J., Zimgibl, H., Leser, H. -G., Manes, G., Rabitti, P. G., Laccetti, M., Cavallera, A., Paceili, L., Gagiione, G., Uomo, G., Marinqhini, A., Zinsmeister, A. R., Melton, L. J., DiMagno, E. P., Marotta, F., Chui, D. H., Barbi, G., Zhong, G. G., Marotta, F., Chui, D. H., Tajiri, H., Bellini, O., Zhong, G. G., Barbi, G., McKay, C, Baxter, J. N., Imrie, C. W., Mithöfer, K., Fern’andez-delCastillo, C., Frick, T. W., Lewandrowski, K., Rattner, D. W., Warshaw, A. L., Pezzilli, R., Billi, P., Miniero, R., Gullo, L., Barakat, B., Migliuli, M., Rau, B., Schad, M., Schoenberg, M., Beger, H. G., Richter, F., Matthias, R., Sakagami, J, Kataoka, K, Ohta, A, Umehara, K, Imoto, M, Murase, M, Hosoda, M, Yamane, Y, Kato, M, Kashima, K, Ashihara, T, Schofield, D, Sharer, NM, Heywood, KM, Waters, HM, Braganza, JM, Scott, P, Sharer, NM, Bilton, D, Deardon, D, Lee, S, Taylor, PM, McCloy, RF, Braganza, JM, Shen, J., Shao, H., Wu, Z. P., Jin, J. J., Shiel, N, Cassidy, O, Sharma, H, Braganza, J. M., Soöckmann, F., Ahrens, J., Leonhardt, U., Otto, J., Ritzel, U., Ramadori, G., Tian, Fuzhou, Hu, JZ, Huang, DR, Wang, XH, Lian, HW, Zhang, BY, Miao, JG, Li, Xu, Zhou, HT, Uomo, G., Rabitti, P. G., Laccetti, M., Manes, G., Esposico, P., Perrocti, F., Visconci, M., Vaccaro, M. I., Dagrosa, M. A., Mora, M. I., Sordelli, D. O., Vogt, W., MeOmann, H., Heinisch, A., Linseis, A., Holstege, A., Schölmerich, J., Leser, H. -G., Weiser, M. R., Gibbs, S. A. L., Hechcman, H. B., Moore, F. D., Worthington, H. V., Runt, L. P., HcCloy, R. F., KacLennan, I. A., Braqanza, J. M., Heath, D, Alexander, D, Wilson, C, Larvin, M, Imrie, CW, McMahon, MJ, Larvin, M, Ward, J, Robinson, PJ, Chalmers, AG, McMahon, MJ, Apte, M, Wilson, J, McCaughan, G, Korsten, M, Norton, I, Piroia, R, Bimmler, D., Frick, T. W., Scheele, G. A., Bockman, Dale E., Büchler, Markus, Beger, Hans G., Cavallini, G., Brunori, M. P., Rigo, L., Bovo, P., Filippini, M., Vaona, B., Di Francesco, V., Frulloni, L., Marcori, M., Farri, P. C., Laardini, M. T., Pederzoli, P., Chowdhury, Riaz, Ochi, Koji, Mizushima, Takaaki, Tsurumi, Tetsuya, Harada, Hideo, Laver, P., Hoist, J. J., Ohe, M. v. d., Goebell, H., Mi Zumoto, A., Sarr, M. G., DiMagno, E. P., Moore, R., Frey, C. F., Debas, H. T., Mulvihill, S. J., Onizuka, S., Kuroda, H., Kuroda, Y., Hongo, H., Matsuzaki, S., Ito, M., Sekine, L., Tsunoda, T., Pap, ’A., Hrisztov, V., Pap, ’A., Marosi, E., Simon, K., Tak’acs, T., Pederzoli, P., Falconi, M., Bassi, C., Bonora, A., Talamini, G., Saivia, R., Benini, L., Caldiron, E., Vesentini, S., Cavallini, G., Raijman, Isaac, Kortan, Paul, Haber, Gregory B., Ramesh, H, Varghese, CJ, Schofield, D, Kay, PM, Bottiglieri, T, Uden, S, Bilton, D, Braganza, JM, Gut, A, Segal, I, Snehalatha, C, Mohan, V, Braganza, JM, Silva, E., Ceneviva, R., Velludo, M. A. L., Silvan, E., Ruebner, B., Ceneviva, R., Velludo, M. A. L., Roselino, J. E. S., Foss, M. C., Talaraini, G., Falcaoi, M., Frmlltai, L, K Fraacesca, V., Maxwi, M., Vaosa, B., Baro, P., Baxu, C., Pedercoli, P., Cavalliai, G., Taiamini, G., Iacano, C., Faicsai, M., Frulloni, L., Rige, L., Castagnisi, A., Marcori, M., Angelini, G., Bassi, C., Bom, P., Vaoss, B., Vantini, I., Sen, G., Pederzali, P., Cavallini, G., Štimee, B, Bulajič, M, Milosavljevi’c, T, Krsti’c, R, Markovi’c, M, Korneti, V, Ugljcš’c, M, Abruzzesse, IL, Evans, DB, Larry, L, King, T, Raijman, I, Roubein, L, Frazier, M, lacono, C., Faca, E., Falezza, G., Bonora, E., Aurola PP, Serio, G., lacono, C., Nicoli, N., Mansueto, G. C., Zicari, M., Marchiori, L., Mangiante, G., Seno, G., Imarnura, M., Yamauchi, H., Inoue, M., Onda, M., UchlDa, E., Almqtq, T., Yamanaka, Y., Kqbayashi, T., Yokqyama, T., Aida, K., Sasajima, K., Tajiri, T., Egami, K., Yamashita, K., Naitq, Z., Asano, G., Lewandrowski, K. B., Kirby, R. E., Southern, J. F., Compton, C. C., Warshaw, A. L., Lip, J, Strömmer, L, Permert, J, Larsson, J, Adrian, TE, Loftus, E. V., Adkins, M. C., Olivares-Pakzad, B., Batts, K. P., Stephens, D. H., Farnell, M. B., Sarr, H. G., Thompson, G. B., van Heerden, J. A., Kelly, D. G., Miller, L. J., Pearson, R. K., Clain, J. E., Petersen, B. T., DiMagno, E. P., Matsumoto, Cancer S., Chowdhury, R., Mizushima, T., Ochi, K., Harada, H., Miki, H., Ozkan, Hnsan, Saisho, Hiromitsu, Yarnaguchi, Taketo, Ishihara, Takeshi, Kikuchi, Yasuharu, Tsuyuguchi, Toshio, Ohto, Masao, Pasqual, C., Sperti, C., Liesai, G., Guido, M., Pedrazzoli, S., Sperti, C., Pasquali, C., Khajeturian, E., Guolo, P., Pedrazzoli, S., Tadokoro, H., Watanabe, S., Moriyoshi, Y., Yoshida, K., Shiratori, K., Takeuchi, T., Uchida, E., Onda, M., Tajiri, T., Egami, K., Yamashita, K., Aida, K., Yamanaka, Y., Kobayashi, T., Aimoto, T., Yokoyama, T., Inoue, M., Naito, Z., Asano, G., Valentich, M. A., Monis, B., Barotto, N. N., and Herrera, P.

Published
1994
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13. An outbreak of food poisoning due to Escherichia coli serotype O7:H4 carrying astA for enteroaggregative E. coli heat-stable enterotoxin1 (EAST1)

Author

Kashima, K., primary, Sato, M., additional, Osaka, Y., additional, Sakakida, N., additional, Kando, S., additional, Ohtsuka, K., additional, Doi, R., additional, Chiba, Y., additional, Takase, S., additional, Fujiwara, A., additional, Shimada, S., additional, Ishii, R., additional, Mizokoshi, A., additional, Takano, M., additional, Lee, K., additional, Iyoda, S., additional, and Honda, A., additional

Published
2021
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23. A Preliminary Study on Feasibility Radar Cross-Section of Foreign Object Debris for Size Classification.

Author

Ja’afar, P. N., Idrus, S. M., Ambran, S., Hamzah, A., Zulkifli, N., Hamid, N. A., Kanno, A., Shibagaki, N., Kashima, K., and Kawanishi, T.

Subjects
FOREIGN bodies, MAXWELL equations, ARTIFICIAL neural networks, RADAR, CYLINDER (Shapes)
Abstract

In this paper, a preliminary evaluation study is conducted, which aiming to investigate the radar cross-section (RCS) value that is capable to be used as an input parameter for Artificial Neural network (ANN) backpropagation for foreign object debris (FOD) size classification. The experimental work procedure for dataset acquisition is described. The FOD simulator is used as the FOD target which is made of metal cylinder shape with nine various dimensions and its RCS is defined by using Maxwell’s equation. The location varying backscattered electromagnetic field from each target is measured for RCS calibration purposes. It is found that by using the received signal from radar, which is the RCS of the target and its locations, it can be utilized as input parameters of backpropagation algorithms. The ANN classification application is to define its size by the ranges; small (-30.99 to -21 dBsm), medium (-20.99 to -11 dBsm), and large (-10.99 to 0 dBsm). The interference signal getting from measurement (22.46 to 25.2 dBsm) exhibited good reflectivity behavior. The acquired input showed to be useful for ANN for FOD size classification. [ABSTRACT FROM AUTHOR]

Published
2021

27. Abstracts of selected papers presented at the 33rd Annual Meeting of the Japanese Society of Gastroenterology

Author

Hasuo, Tomonobu, Hosoi, Tohzo, Nagano, M., Motizuki, F., Arima, Miwako, Kouzu, Teruo, Murata, Yoko, Ide, Hiroko, Shiozaki, Hitoshi, Kobayashi, Kenji, Kawano, Tatsuyuki, Endo, Mitsuo, Koyama, Shohei, Tsujii, Hirohiko, Kondo, Fukuo, Ebara, Masaaki, Nakashima, Osamu, Kojiro, Masamichi, Takayama, Tadatoshi, Makuuchi, Masatoshi, Kurokawa, Fumie, Okita, Kiwamu, Itoh, Yoshinobu, Akamatsu, Kouichi, Tanaka, Sachiko, Kitamura, Tsugio, Ikeda, Kenji, Kumada, Hiromitsu, Majima, Yasuo, Tanikawa, Kyuichi, Imaoka, Shingi, Sasaki, Yo, Ohkura, Yasuo, Nakamura, Kyoichi, Hirakawa, Masahiko, Fuchigami, Tadahiko, Tsuda, Sumio, Matsui, Toshiyuki, Tsuruta, Osamu, Arima, Nobuyuki, Ohishi, Takashi, Egawa, Naoto, Sawada, Toshio, Muto, Tetsuichiro, Sata, Michio, Tanikawa, Kyuichi, Takase, Shujiro, Tsutsumi, Mikihiro, Uchikoshi, Toshiyuki, Maeyama, Shiro, Unoura, M., Kaneko, S., Kiyosawa, Kendo, Tanaka, Eiji, Nishiguchi, Shuhei, Kuroki, Tetsuo, Hosoda, Ito, Yoshimi, Yasuda, Kiyomi, Tashima, Koichi, Ohta, Yasuyuki, Okazaki, Yukinori, Miyoshi, Yasuhiko, Yoshino, Junji, Nakazawa, Saburo, Ashida, Kiyoshi, Sakaguchi, Masahiro, Ohara, Shuichi, Asaki, Shigeru, Ise, Hideo, Matsuno, Seiki, Higashide, Shun-ichi, Inoue, Kazutomo, Matsumoto, Teiji, Tsunoda, Tsukasa, Moriizumi, S., Shimosegawa, T., Sawabu, Norio, Satomura, Yoshitake, Noda, Aiji, Ibuki, Eri, Atsumi, M., Kashima, K., Omagari, Kazuhiro, Toyonaga, Atsushi, Takasaki, Yoshihisa, Muranaga, Tomoko, Tada, Masahiro, Murakami, Atsushi, Kihira, Ken, Yosida, Yukio, Kimura, Ken, Miyazaki, Yasuhiro, Hirao, Masanori, Inoue, Kazuhiko, Hidaka, Tohru, Inoue, Osami, Yatsuhashi, Hiroshi, Kaminishi, Michio, Shimoyama, Shouji, Takahashi, Michiko, Yamada, Gotaro, Takano, Susumu, Omata, Masao, Ito, Nobuyasu, Tameda, Yukihiko, Kondo, T., Sainokami, S., Arase, Yasuji, Kumada, Hiromitsu, Seki, Takeshi, Kiyosawa, Kendo, Yasunaga, Mitsuru, Sanuki, Kazutosi, Tomiya, Tomoaki, Fujiwara, Kenji, Tada, Kouji, Akamatsu, Kouichi, Ohtake, Yoshio, Hirasawa, Hiroyuki, Suzuki, Kazuyuki, Sato, Shunichi, Takahashi, Hiroaki, Mizumoto, Ryuji, Aoike, Akira, Watanabe, Kazuhiko, Yamaguti, Osahumi, Kuwayama, Hajime, Asakura, Hitoshi, Narisawa, Rintaro, Kumashiro, Ryukichi, Sata, Michio, Kubota, Yoshitsugu, Inoue, Kyoichi, Shibata, Tokimune, Hayakawa, Tetsuo, and Hattori, Takanori

Published
1993
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34. Exploitation of uncertain weather forecast data in power network management

Author

Tomisawa, Y., Ohki, K., Sugihara, H., Kashima, K., and Ohta, Y.

Subjects
Electric power systems, Electrical network, Parallel circuit transmission lines, Applications, Stochastic model predictive control
Abstract

In power network management, the heat capacity of transmission lines originally arises from the line temperature constraint. The line temperatures are affected not only by the Joule heat but also by the thermal environment. This motivates us to exploit weather forecast data to improve the power management performance. The goal of this paper is to propose a stochastic model predictive control scheme for this purpose. In particular, we compensate for the probabilistic uncertainty by means of chance constraint optimization. The effectiveness of the proposed control scheme is examined through numerical simulation of power grids under the area dependent uncertainty and transmission line failure.

Published
2016

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