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6. Abstracts of presentations at the 22nd Congress of the Israeli Phytopathological Society February 12–13,2001 ARO, The Volcani Center, Bet Dagan, Israel

Author

Shtienberg, D., Reuveni, M., Shegalov, N., Shegalov, D., Eshel, D., Ben-Arie, Ruth, Prusky, D., Korolev, Nadia, Katan, J., Katan, Talma, Sharon, A., Oren, L., Ezrati, S., Cohen, D., Ziv, Sarit, Katan, J., Lichtenzveig, Judith, Abbo, S., Shtienberg, D., Manulis, Shulamit, Chalupowicz, Liora, Dror, Orit, Antheman, S., Sigler, T., Tanne, Edna, Clair, D., Boudon-Padieu, E., Lahav, C., Sztejnberg, A., Maymon, Marcel, Denisov, Yulia, Freeman, S., Shlevin, E., Saguy, S., Mahrer, Y., Katan, J., Mesika, Y., Elad, Y., Nitzani, Y., David, Dalia Rav, Sztejnberg, A., Brand, M., Yekhezkel, H., Shmuel, D., Targerman, M., Aharon, Y., Salpoi, A., Dayan, E., Cordoba, L., Fuchs, M., Ovadia, S., Shtienberg, D., Dinoor, A., Sztejnberg, A., Shalev, Z., Katan, J., Freeman, S., Nitzan, N., Hazanovsky, Marina, Tsror (Lahkim), Leah, Horowitz, Sigal, Sharon, A., Freeman, S., Rubin, Evgenia, Levin, Aaron, Baider, Alexander, Pisanti, Odelia, Cohen, Yigal, Sadowsky, A., Gefen, D., Rottman, N., Oren, Y., Kimchi, Miriam, Solel, Z., Shiboleth, Y. M., Arazi, T., Gal-On, A., Cohen, R., Burger, Y., Portnoy, V., Tzuri, G., Saar, U., Shriber, S., Perl-Treves, R., Brotman, Y., Katzir, Nurit, Arbel, Gil, Katan, J., Katan, Talma, Yarden, O., Kalman, Sari, Zamir, D., Katan, Talma, Mor, Neta, Miron, Y., Lachman, O., Pearlsman, Malenia, Antignus, Y., Kritzman, Anat, Beckelman, Helena, Alexandrov, Svetlana, Cohen, J., Lampel, Miriam, Raccah, B., Gera, A., Cohen, J., Rosner, A., Kagan, Sima, Gotleb, J., Zeidan, M., Gera, A., Benyamini, Y., Benyamini, Y., Oka, Y., Kozodoy, Y., Gotlib, J., Harkavi, E., Balchinski, D., Avtavi, A., Sigler, T., Kaplan, H., Yogev, E., Lichter, A., Zutkhi, Y., Shacham, Z., Kapulonov, T., Dvir, O., Ben-Arie, Ruth, David, D. Rav, Elad, Y., Hameiri, Y., Tsror (Lahkim), Leah, Erlich, Orly, Aharon, M., Lavy, M., Peretz-Alon, I., Afek, U., Orenstein, Janeta, Nuriel, E., Ben-David, Tslila, Dori, Irit, Matan, E., Hazanovsky, Marina, Mordechai-Leviush, Sara, Tsror (Lahkim), Leah, Perez, Y. A., Kritzman, G., Tsror (Lahkim), Leah, Erlich, Orly, Aharon, M., Cahlon, Y., Hadar, A., Cohen, Y., Shmueli, M., Shlevin, E., Ben-Nun, E., Meler, B., Bigel, Z., Peretz-Alon, I., Cornfeld, Yael, Gamliel, A., Grinstein, A., Austerweil, Miriam, Steiner, Bracha, Klein, L., Katan, J., Yunis, H., Omri, N., Cahlon, Y., Shmueli, M., Barel, D., Klein, L., Shmueli, M., Hadar, A., Cahlon, Y., Cohen, Y., Sultan, T., Mor, Neta, David, S., Ganaim, N., Yunis, H., Sachs, Y., Posalsky, Y., Cahlon, Y., Sultan, T., Shmueli, M., Barel, D., Cohen, Y., Klein, L., Aizenberg, Y., Urieli, E., Lang, M., Benyamini, Y., Zur, M. Keren, Grimberg, A., Mogilner, N., Zidan, M., Shechener, Z., Bahat, A., Barkay, J., Orion, D., Reuven, Michal, Mor, M., Szmulewich, Y., Kolesnik, Ina, Gamliel, A., Mor, Y., Ben-Yephet, Y., Gokkes, M., Gamliel, A., Ben-David, Tslila, Mor, Neta, Lahav, Tamar, Levi, M., Siti, E., Skutelski, Yael, Gamliel, A., Austerweil, Miriam, Kritzman, G., Peretz-Alon, I., Heiman, O., Tsror (Lahkim), Leah, Sneh, B., Kleifeld, O., Zinger, M., Raviv, Ayala, Gao, Junping, Ben-Daniel, Bat Chen, Cohen, Yigal, Gips, A., Fine, P., Rosenberg, Rivka, Solopanov, V., Reuven, Michal, Shemulevitz, Y., Kolesnic, Ina, Tsror (Lahkim), Leah, Ben-Yephet, Y., Gips, A., Fine, P., Solopanov, V., Rosenberg, R., Markowitz, T., Ben-Yephet, Y., Tsror Lahkim, Leah, Pivonia, S., Cohen, R., Cohen, S., Kigel, J., Levita, Rachel, Katan, J., Dornai, Iris, Hadar, Y., Dishon, Y., Silverman, D., Kirshner, B., Kimchi, Miriam, Pekarsky, Valeria, Postma, J., Os, E. A. van, Kritzman, G., Ben-Yephet, Y., Reuven, Michal, Zviebil, Aida, Szmulewich, Y., Lavkovits, Irit, Markovits, T., Soriano, Shoshana, Mor, Y., Bar-Yosef, B., Guetsky, Ruth, Elad, Y., Shtienberg, D., Dinoor, A., Oka, Y., Dor, E., Plakhine, D., Hershenhorn, J., Oppenheim, D., Shtienberg, D., Peres, M., Herzog, Z., Zilberstaine, Miriam, Kritzman, G., Kritzman, G., Shwartz, H., Levin, A., Herzog, Z., Zilberstaine, Miriam, Oppenheim, D., Yogev, Anat, Kimchi, Miriam, Kirshner, B., Dornai, Iris, Pakersky, Valeria, Pakersky, Valeria, Pakersky, Valeria, Zarka, S., Pakersky, Valeria, Shtienberg, D., Shtienberg, D., Zilberstaine, Miriam, Herzog, Z., Oppenheim, D., Levi, S., Shwartz, H., Kritzman, G., Shwartz, H., Shtienberg, D., Oppenheim, D., Zilberstaine, Miriam, Herzog, Z., Peres, M., Kritzman, G., Zilberstaine, Miriam, Shtienberg, D., Herzog, Z., Levi, S., Shwartz, H., Oppenheim, D., and Kritzman, G.

Published
2001
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7. Abstracts of Presentations at the 21st congress of the Israeli phytopathological society February 14–15, 2000 ARO, the Volcani Center, Bet Dagan, Israel

Author

Droby, S., Kritzman, G., Gamliel, A., Austerweil, Miriam, Skutelski, Yael, Peretz-Alon, I., Becker, E., Katan, J., Cohen, R., Edelstein, M., Horev, Carmela, Burger, Y., Hershenhorn, J., Shriber, Shoshana, Pivonia, S., Dor, Evgenia, Haimovich, D., Dudai, N., Cornfeld, Yael, Grinstein, A., Steiner, Bracha, Klein, L., Bar, Z., Himan, O., Kirshner, B., Dornai, I., Pekarski, V., Kimchi, Miriam, Bar-Eyal, M., Tsror (Lahkim), Leah, Erlich, Orly, Aharon, M., Leviush-Mordechai, Sarah, Cahlon, Y., Hadar, A., Cohen, Y., Klein, L., Bai-Eyal, Meira, Spiegel, Y., Mor, M., Sharon, Edna, Keren-Zur, M., Antonov, J., Bercovitz, A., Chusid, A., Grimberg, A., Feldman, K., Kenan, G., Markov, N., Revhun, M., Oka, Y., Shtienberg, D., Vintal, H., Brenner, S., Yaniv, A., Retig, B., Reuveni, M., Cohen, H., Zahavi, Tirza, Venezian, A., Baum, D., Vilder, Y., Kuraby, Ch., Rulf, R., Fried, A., Beracha, A., Baum, J., Rolf, R., Sharon, A., Eshel, D., Lorang, J. M., Ben-Arie, Ruth, Dinoor, A., Prusky, D., Yechye, U., Sztejnberg, A., Bakshi, S., Yarden, O., Sztejnberg, A., Assaraf, M. P., Ginzburg, C., Galperin, Marjana, Kenigsbuch, D., Yakoby, N., Zhou, R., Kobiler, Hana, Dinoor, A., Prusky, D., Horowitz, Sigal, Freeman, S., Korolev, Nadia, Katan, Talma, Ovadia, Alona, Cohen, Y., Hadas, Rivka, Pearlsman, Malenia, Gefen, Tanya, Lachman, O., Hadar, Esther, Sharabany, Galit, Antignus, Y., Antignus, Y., Lachman, O., Pearlsman, Malenia, Antignus, Y., Lachman, O., Pearlsman, Malenia, Gofman, R., Zeidan, O., Bar-Joseph, M., Freeman, S., Gamliel, Ephrath, Shtienberg, D., Vintal, H., Dinoor, A., Rekah, Yael, Cafri, Daniella, Katan, Y., Katan, Talma, Petrov, Ludmila, Boogert, Karin, Sheck, Lanina, Baider, A., Rubin, Evgenia, Cohen, Y., Tsror(Lahkim), Leah, Levin, A., Hazanovsky, Marina, Erlich, Orly, Aharon, M., Yogev, U., Gamliel, A., Pivonia, S., Levita, Rachel, Tzuberi, G., Zachs, Mali, Zviebil, Aida, Nizani, Y., Freeman, S., Nave, Carmit, Shtienberg, D., Vintal, H., Nitzani, Y., Kritzman, G., Ficher, A., Gat, E., Dinoor, A., Kritzman, G., Dishon, Y., Silverman, D., Kirshner, B., Dornai, I., Pekarski, V., Kimchi, Miriam, Raviv, M., Bar-Yosef, B., Katan, J., Zilberstaine, Miriam, Jurkevitch, E., Shapifa, G., Zilberstaine, Miriam, Manulis, Shulamit, Kleitman, Frida, and Levi, S.

Published
2000
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9. Abstracts of papers presented at the 8th conference of the Entomological Society of Israel Abstracts of papers presented at the 17th congress of the Israeli Phytopathological Society: January 18, 1996 ARO, The Volcani Center, Bet Dagan, Israel February 19–20, 1996 ARO, The Volcani Center, Bet Dagan, Israel

Author

Freidberg, Amnon, össler, Yoram, Nestel, David, Hirsh, Smadar, Israely, Nimrod, Yuval, Boaz, Warburg, Meirav S., Blay, Sigal, Kaspi, Roy, Hasson, Oren, Rubin, Amos, Landesman, Arieh, Zakkay, Edva, Levy, Ruthi, Meidan, Salo, Mazor, Michal, el-Hadi, Fathi Abd, Gafni, Y., Tsror, Leah, Erlich, Orly, Chen, C., Ben-Ze’ev, I., Kritzman, G., Zutra, D., Assouline, I., Freeman, S., Zilberstaine, Miriam, Levy, Edna, Ben-Zeev, I. S., Dlugatch, Yael, Shabi, E., Katan, Talma, Teviotdale, Beth, Hazanovsky, Marina, Kosto, I., Sharabani, Galit, Shtienberg, D., Elad, Y., Dinoor, A., Yunis, H., Manisterski, J., Ben-Yehuda, Pnina, Kosman, E., Eyal, Z., Eilam, Tamar, Anikster, Y., Pivonia, S., Cohen, R., Ben-Ze’ev, I. S., Kafkafi, U., Katan, J., Edelstein, M., Offenbach, Rivka, Gamliel, A., Shlevin, E., Lazarovits, G., Bar-Lev, N., Chefetz, B., Chen, Y., Hadar, Y., Madi, Lea, Mahrer, Y., Di Primo, P., Grinstein, A., Alon, I. Peretz, Heiman, O., Bar, Z., Serlin, E., Kleifeld, O., Chet, I., Abramsky, Miriam, Yedidia, Iris, Henis, Y., Rodov, V., Peretz, J., Ben-Yehoshua, S., Afek, U., Orenstein, Janeta, Nuriel, E., Austerweil, M., Ben-David, Tsilah, Steiner, B., Riven, Yehudit, Zilberg, V., Amir, R., Livescu, L., Hazanovski, Marina, Aharon, M., Barak, R., Peretz, I., Bing, B., Yaniv, A., Barak, E., Reuveni, M., Zehavi, Tirza, Reuveni, R., Fallik, E., Grinberg, Shoshana, Ziv, O., Paster, N., Menasherov, Mazal, Ravid, U., Katzir, Irena, Zohar, D., Dreishpun, J., Hefer, Y., Lior, A., Rodman, R., Katz, H., Chalutz, E., Droby, S., Cohen, Lea, Weiss, Batia, Daus, A., Horev, Batia, Chalupovicz, Laura, Yogev, E., Shaknai, A., Beth-Din, D., Berson, M., Sztejnberg, A., Mairovich, G., Marder, J. B., Lischinsky, Smadar, Manulis, Shulamit, Galperin, M., Levy, Y., Korolev, Nadia, Flaishman, M. A., Kolattukudy, P. E., Prusky, D., Wattad, C., Kobiler, Ilana, Cohen, Y., Baider, A., Reshit, Zipora, Farkas, Sonia, Ga’ash, D., Kleitman, Frieda, Dror, O., Elisha, S., David, I., Rav-David, Dalia, Herzog, Z., Burger, Y., Shraiber, Shoshana, Elkind, Y., Levin, Eilit, Grünzweig, J. M., Rabinowitch, H. D., Ben-Tal, Y., Wodner, Maria, Solel, Z., Mogilner, N., Kimchi, Miriam, Gafni, R., Bar-Joseph, M., Madar, Z., Kimchi, M., Riov, J., Oved, S., Yarden, O., Haviv, Anat, Barash, I., Sietsma, J. H., Din, Adi Beth, Ziv, Vered, Sjollema, K. A., Greenberg, Ronit, Shreiber, Shoshana, Katzir, Nurit, Kalman, Sara, Zamir, D., Pnini-Cohen, Smadar, Zilberstein, Avian, Schuster, Silvia, Sharon, A., Rotem, Y., Weiss, Nava, Shapira, R., Eyal, Osnat, Matt, Anyet, Salomon, R., Shifer, O., Rosenberg, E., Hadar, Ester, Gottlieb, Y., Sando, T., Ben-David, Tsilla, Hadar, Esther, Cohen, J., Franck, A., Umiel, N., Hadar, E., Finkelstein, S., Gera, A., Levy, S., Lesemann, D. -E., Lapidot, M., Cohen, S., Ben-Joseph, Rachel, Harush, S. Ben, Pilowsky, M., Shifriss, C., Zelcer, A., Wolf, Dalia, Faure, J. -E., Bar, M., Rosner, A., Gal-On, A., Lev, E., Livne, H., Omer, S., Yunes, H., Singer, S., Raccah, B., Antignus, Y., Pearlsman, Malenia, Lachman, O., Koren, A., Bernardi, Francoise, DiFonzo, C. D., Ragsdale, D. W., Radcliffe, E. B., Mawassi, M., Mietkiewska, Elzbieta, Hilf, M. E., Ashulin, Lilach, Karasev, A. V., Gafny, R., Lee, R. F., Garnsey, S. M., Dawson, W. O., Yang, G., Frank, A., Febres, V. J., Niblett, C. L., Gofman, Rose, Koltai, Hinanit, Chejanovsky, N., Spiegel, Y., Oka, Y., Mor, M., Cohen, Hadas, Oppenheim, D., Benyamini, Y., Orion, D., Bar-Eyal, Meira, Israeli, Y., and Gottlieb, J.

Published
1996
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10. Abstracts of papers presented at the 13th Conference of the Weed Science Society of Israel Abstracts of papers presented at the Third Israeli-Italian Phytopathological Symposium: January 24-25, 1994 The Hebrew University of Jerusalem, Faculty of Agriculture Rehovot, Israel June 14-17, 1994 Kefar haMaccabi, Israel

Author

Sachs, M., Boeken, B., Shachak, M., Shaham, G., Horowitz, M., Rosenberg, U., Yetah, N., Sheinboim, Y., Ohali, Y., Karmon, D., Nir, A., Raz, A., Barkai, J., Bucsbaum, H., Kleifeld, Y., Herzlinger, G., Blumenfeld, T., Golan, S., Chilf, T., Tsamir, G., Tal, A., Benyamini, Y., Rubin, B., Baum, D., Ovadia, A., Badawiah, J., Shachor, G., Zemer, B., Kedar, Y., Wasserman, M., Yona, A., Bar, Z., Graph, S., Luchinsky, U., Ohali, Y., Sibony, M., Varsano, Rina, Schonfeld, M., Lior, E., Kigel, J., Levy, Orit, Krugman, Tamar, Snape, J., Nevo, E., Gal, D., Ben-Yakir, D., Rosen, D., Yogev, M., Negbi, M., Levanon, D., Freund, Miriam, Yarden, O., Ben-Zvi-Assaraf, Orit, Mandelbaum, R. T., Wackett, L. P., Allan, Deborah L., Jacobsohn, R., Goldwasser, Y., Bargutti, A., Toledano, J., Levitin, E., Joel, D. M., Shamla, Miriam, Vriend, A., Flakchin, D., Palevitz, D., Russo, R., Berant, Y., Losner-Goshen, Dalia, Assayag, Michal, Garibaldi, A., Gullino, M. L., Migheli, Q., Aloi, C., Zimand, G., Elad, Y., Kritzman, G., Chet, I., Haran, S., Schickler, H., Oppenheim, A., Surico, G., Bogo, A., Sfalanga, A., Mugnai, L., Bonino, M., Piano, Serenella, Testoni, A., Droby, S., Wisniewski, M., Chalutz, E., Shoseyov, O., Pratella, G. C., Mari, M., Guizzardi, M., Bertolini, P., Freeman, S., Rodriguez, R. J., Cortesi, P., Smith, F. D., Minuto, A., Fallik, E., Grinberg, S., Gambourg, M., Klein, J., Lurie, S., Grinstein, A., Ramraz, Y., Riban, Y., Kirshner, G., Bazar, A., Halperin, I., Shlevin, E., Katan, J., Mahrer, Y., Ippolito, A., Lima, G., Nigro, F., Linsalata, V., Cascarano, N., Saks, Y., Barkai-Golan, R., Tamietti, G., Matta, A., Ben-Yephet, Y., Reuven, M., Lampel, M., Zveibel, A., Shtienberg, D., Cirulli, M., Ciccarese, F., Amenduni, M., Cohen, R., Nerson, H., Elkind, Y., Burger, Y., Offenbach, R., Afek, U., Aharoni, N., fnCarmeli, S., Roizer, L., Fang, D., Rodov, V., Ben-Yehoshua, S., Stefani, E., Bazzi, C., Ghedini, R., Mazzucchi, U., Austerweil, M., Zvieli, E., Ben-David, T., Gotlieb, Y., Steiner, B., Riban, Y., Gamliel, A., Katan, J., Klein, L., Ucko, O., Shtienberg, D., Lehrer, W., Retig, B., Kritzman, G., Austerweil, M., Warshavsky, S., Steiner, B., Dory, I., Caspi, H., Yarden, O., Paster, N., Barkai-Golan, R., Sparapano, L., Iacobellis, N. S., Scala, A., Tegli, S., Wattad, C., Kobiler, D., Dinoor, A., Prusky, D., Manulis, S., Valinsky, L., Kogan, N., Camele, I., Concetta Avigliano, A., Rana, G. L., Clark, E., Cirvilleri, G., Grantham, G., PRodriguez, R. J., Graniti, A., Mugnai, L., Surico, G., Esposito, A., Bruno, E., Corazza, L., Damiano, C., Ialongo, M. T., Frattarelli, A., Magnotta, A., Tsror, L., Causin, R., Montecchio, L., Mutto Accordi, S., Cacciola, S. O., Magnano di San Lio, G., Perrotta, G., Battilani, P., Racca, P., Rossi, V., Lichter, A., Gafni, Y., Barash, I., Bazzi, C., Vercesi, A., Sirtori, C., Literati, D., Setti, E., Ragazzi, A., Dellavalle, I., Mancini, F., Tanne, E., Shalamovitz, N., Spiegel, S., Rosner, A., Stein, A., Levy, S., Lilien-Kipnis, H., Rabiti, A. L., Betti, L., Torrigiani, P., Bagni, N., Brizzi, M., Marani, F., and Canova, A.

Published
1994
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12. Next-generation sequencing-based QTL mapping for unravelling causative genes associated with melon fruit quality traits 5th International Symposium on Cucurbits

Author

Portnoy, V., Gonda, I., Galpaz, N., Tzuri, G., Lev, S., Kenigswald, M., Fei, Z., Barad, O., Harel-Beja, R., Doron-Faigenboim, A., Bar, E., Sáar, U., Xu, Y., Lombardi, N., Mao, L., Jiao, C., Kol, G., Gur, A., Fallik, E., Tadmor, Y., Burger, Y., Schaffer, A. A., Giovannoni, J., Lewinsohn, E., Katzir, N., Portnoy, V., Gonda, I., Galpaz, N., Tzuri, G., Lev, S., Kenigswald, M., Fei, Z., Barad, O., Harel-Beja, R., Doron-Faigenboim, A., Bar, E., Sáar, U., Xu, Y., Lombardi, N., Mao, L., Jiao, C., Kol, G., Gur, A., Fallik, E., Tadmor, Y., Burger, Y., Schaffer, A. A., Giovannoni, J., Lewinsohn, E., and Katzir, N.

Subjects
Cucumis melo, Genotyping by sequencing, RNA-seq, Horticulture
Published
2017

14. Next-generation sequencing-based QTL mapping for unravelling causative genes associated with melon fruit quality traits

Author

Portnoy, V., primary, Gonda, I., additional, Galpaz, N., additional, Tzuri, G., additional, Lev, S., additional, Kenigswald, M., additional, Fei, Z., additional, Barad, O., additional, Harel-Beja, R., additional, Doron-Faigenboim, A., additional, Bar, E., additional, Sa’ar, U., additional, Xu, Y., additional, Lombardi, N., additional, Mao, L., additional, Jiao, C., additional, Kol, G., additional, Gur, A., additional, Fallik, E., additional, Tadmor, Y., additional, Burger, Y., additional, Schaffer, A.A., additional, Giovannoni, J., additional, Lewinsohn, E., additional, and Katzir, N., additional

Published
2017
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15. Fish4Knowledge: Collecting and Analyzing Massive Coral Reef Fish Video Data

Author

Fisher, R.B. (Robert), Chen-Burger, Y.-H. (Yun-Heh (Jessica)), Giordano, D. (Daniela), Hardman, L. (Lynda), Lin, F.-P. (Fang-Pang), Fisher, R.B. (Robert), Chen-Burger, Y.-H. (Yun-Heh (Jessica)), Giordano, D. (Daniela), Hardman, L. (Lynda), and Lin, F.-P. (Fang-Pang)

Abstract

This book gives a start-to-finish overview of the whole Fish4Knowledge project, in 18 short chapters, each describing one aspect of the project. The Fish4Knowledge project explored the possibilities of big video data, in this case from undersea video. Recording and analyzing 90 thousand hours of video from ten camera locations, the project gives a 3 year view of fish abundance in several tropical coral reefs off the coast of Taiwan. The research system built a remote recording network, over 100 Tb of storage, supercomputer processing, video target detection and tracking, fish species recognition and analysis, a large SQL database to record the results and an efficient retrieval mechanism. Novel user interface mechanisms were developed to provide easy access for marine ecologists, who wanted to explore the dataset. The book is a useful resource for system builders, as it gives an overview of the many new methods that were created to build the Fish4Knowledge system in a manner that also allows readers to see how all the components fit together.

Published
2016
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16. Hoge verwachtingen: Het coachen van mensen aan de top

Author

Ronde,de, M.A. and Burger, Y.

Subjects
coaching, directeuren, mensen aan de top, leiderschap, bestuurders
Abstract

Over het specifieke onderwerp van het coachen van bestuurders en hoge directeuren is betrekkelijk weinig geschreven en empirisch materiaal is al helemaal schaars op dat gebied. Spiegel aan de top, het nieuwe boek van Yvonne Burger (o.a. hoogleraar organisatiecultuur, communicatie en leiderschap), gaat over de praktijk van executive coaching. Voor mij zijn de uitkomsten van deze verkenning aanleiding om enkele vragen en inzichten aan de auteur voor te leggen. Ik doe dat in briefvorm. De auteur was bereid daar vervolgens op te reageren.

Published
2013

18. Open Virtual Collaboration Environment for the Whole of Society Crisis Response Community

Author

Tate, Austin, Chen-Burger, Y.-H., Dalton, J., Potter, S., Wickler, G., Carley, K.M., Kunkel, F., Cross, R., Hansberger, J.T., Moon, B, and Lawton, J

Abstract

Crisis response situations require collaboration across many different organizations with different backgrounds, training, procedures and objectives. The response to the Indian Ocean Tsunami in 2004 and the Hurricane Katrina relief efforts in 2005 emphasized the importance of effective communication and collaboration. Compounding the challenges associated with collaboration during crisis situations is the distributed nature of the supporting organizations and the lack of a designated leader recognized across military, government and non-government organizations. The US Army Research Laboratory is working with the University of Edinburgh, the University of Virginia, Perigean Technologies and Carnegie Mellon University in the creation of an openly accessible “Virtual Collaborative Environment” (VCE) to support the “Whole of Society Crisis Response” (WoSCR) community of interest and crisis action planning activities. The VCE consist of a collaborative portal containing a suite of Web 2.0 social networking and group tools including data visualization facilities, a 3D virtual collaboration space and a collaboration protocol. All tools were selected to support the key functions identified in a cognitive work analysis (CWA) for distributed collaboration and chosen to be open source or as accessible as possible to allow them to be made available to the wide range of organizations that make up the crisis response community.

Published
2010

20. Detecting, Tracking and Counting Fish in Low Quality Unconstrained Underwater Videos

Author

Spampinato, C., Chen-Burger, Y.-H., Nadarajan, G., and Fisher, R.

Subjects
video analysis
Abstract

In this work a machine vision system capable of analysing underwater videos for detecting, tracking and counting fish is presented. The real-time videos, collected near the Ken-Ding sub-tropical coral reef waters are managed by EcoGrid, Taiwan and are barely analysed by marine biologists. The video processing system consists of three subsystems: the video texture analysis, fish detection and tracking modules. Fish detection is based on two algorithms computed independently, whose results are combined in order to obtain a more accurate outcome. The tracking was carried out by the application of the CamShift algorithm that enables the tracking of objects whose numbers may vary over time. Unlike existing fish-counting methods, our approach provides a reliable method in which the fish number is computed in unconstrained environments and under several scenarios (murky water, algae on camera lens, moving plants, low contrast, etc.). The proposed approach was tested with 20 underwater videos, achieving an overall accuracy as high as 85%.

Published
2008

21. Semantic Support for Visualisation in Collaborative AI Planning

Author

Lino, N, Tate, Austin, Chen-Burger, Y-H, and CAPES Foundation

Subjects
intelligent planning systems, informatics, Artificial Intelligence Applications Institute, computer science, artificial intelligence, collaborative planning, semantic modelling
Abstract

The University of Edinburgh and research sponsors are authorised to reproduce and distribute reprints and on-line copies for their purposes notwithstanding any copyright annotation hereon. The views and conclusions contained herein are the author’s and shouldn’t be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of other parties. In the last decades, many advances have been made in intelligent planning systems. Significant improvements related to core problems, providing faster search algorithms and shortest plans have been proposed. However, there is a lack in researches allowing a better support for a proper use and interaction with planners, where, for instance, visualization can play an important role. This work proposes a general framework for visualisation of planning information using an approach based on semantic modelling. It intends to enhance the notion of knowledge-based planning applying it to other aspects of planning, such as visualisation. The approach consists in an integrated ontology set and reasoning mechanism for multi-modality visualisation destined to collaborative planning environments. This framework will permit organizing and modelling the domain from the visualisation perspective, and give a tailored support for presentation of information.

Published
2005

22. A Semantic-based Workflow Choreography for Integrated Sensing and Processing

Author

Chen-Burger, Y-H, Lin, F-P, and Engineering and Physical Sciences Research Council (EPSRC)

Subjects
Informatics, business process modelling, Computer Science, Artificial Intelligence Applications Institute, artificial intelligence
Abstract

The University of Edinburgh and research sponsors are authorised to reproduce and distribute reprints and on-line copies for their purposes notwithstanding any copyright annotation hereon. The views and conclusions contained herein are the authorâ s and shouldnâ t be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of other parties. Real-time automatic and continuous information gathering through EcoGrid offers an unique and immense opportunity for long term ecological monitoring and planning. However, the vast amount of raw data gathered must be dealt with efficiently and effectively so that they may be timely turned into useable information to assist ecological management. In addition, Ecological data tends to subject to environmental changes and exception-prone so that their qualities vary. Adaptive business process modelling (BPM) techniques provide rich conceptualisation to support workflow systems to perform integrated analytical and documentation tasks flexibly and efficiently. We present one such BPM and show how adaptive workflow systems, like those developed at AIAI, can take advantage of Enterprise Models represented in FBPML to provide effective support to users in real Grid environments.

Published
2005

23. Workflow Collaboration with Constraint Solving Capabilities

Author

Chen-Burger, Y-H, Hui, K, Preece, A D, Gray, P.M.D, Tate, Austin, and Engineering and Physical Sciences Research Council (EPSRC)

Subjects
virtual organisation, Informatics, knowledge modelling, constraint satisfaction, Artificial Intelligence Applications Institute, business modelling, NIST PSL, product synthesis, semantic grid, business process modelling, semantic web, Computer Science, ontology, IDEF3
Abstract

The University of Edinburgh and research sponsors are authorised to reproduce and distribute reprints and on-line copies for their purposes notwithstanding any copyright annotation hereon. The views and conclusions contained herein are the author’s and shouldn’t be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of other parties. We describe a collaborative problem solving architecture driven by semantic based workflow orchestration and constraint solving. These technologies are based on shared ontologies that allow two systems of very different natures to communicate, perform specialised tasks and achieve common goals. We give an account of our approach for the workflow assisted collaboration with a specialised knowledge agent. In this case, a system with constraint solving capabilities. We found that systems built with Semantic Web based technologies are useful for collaboration and are easier to add additional specialised capabilities. However, much care must be exercised before correct semantics may be exchanged and collaborations occur smoothly.

Published
2005

25. Supporting Collaboration through Semantic-based Work and Constraint Solving

Author

Chen-Burger, Y-H, Hui, K-Y, Preece, A.D, Gray, P.M.D, Tate, Austin, and Engineering and Physical Sciences Research Council (EPSRC)

Subjects
semantic grid, Informatics, business process modelling, semantic web, Computer Science, Artificial Intelligence Applications Institute, ontology, NIST PSL, IDEF3
Abstract

The University of Edinburgh and research sponsors are authorised to reproduce and distribute reprints and on-line copies for their purposes notwithstanding any copyright annotation hereon. The views and conclusions contained herein are the author’s and shouldn’t be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of other parties. This paper describes our efforts to provide a collaborative problem solving architecture driven by semantic-based workflow orchestration and constraint problem solving. These technologies are based on shared ontologies that allows two systems of very different natures to communicate, perform specialised tasks and achieve common goals. We give an account of our approach for the workflow assisted collaboration with constraint solving capabilities. We found that systems built with semantic (web) based technologies is useful for collaboration and flexible to enhance the system with specialised capabilities. However, much care must be exercised before correct semantics may be exchanged and collaborations occur smoothly.

Published
2004

27. Formal Support for Adaptive Workflow Systems in a Distributed Environment

Author

Chen-Burger, Y-H, Stader, J, and Engineering and Physical Sciences Research Council (EPSRC)

Subjects
Informatics, business process modelling, Computer Science, Enterprise Modelling, Artificial Intelligence Applications Institute
Abstract

The University of Edinburgh and research sponsors are authorised to reproduce and distribute reprints and on-line copies for their purposes notwithstanding any copyright annotation hereon. The views and conclusions contained herein are the author’s and shouldn’t be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of other parties. To achieve more widespread application, Workflow Management Systems (WfMS) need to be developed to operate in dynamic environments where they are expected to ensure that users are supported in performing flexible and creative tasks while maintaining organisational norms [Alonso et al, 1997; Sheth & Kochut, 1997]. In order to cope with these demands, the systems must provide knowledge about the business process itself and the organisational context in that these processes operate [Jarvis et al, 1999]. It, however, is not an easy task to provide the appropriate and sufficient knowledge at the right level of abstraction that supports a workflow system at all stages of operation in a dynamic environment and for different types of users. At the same time, Enterprise Modelling (EM) methods are well recognised for their value in describing complex domains in an organised but usually informal structure. In particular, business process modelling techniques provide rich conceptualisations that tend to describe the type of information required by the adaptive workflow systems. However, because of their lack of formal structure the use of Enterprise Models that have been developed is limited [Junginger, 2000][Chen-Burger, 2001a]. We propose the use of a formal language within a three-layered framework. This language helps to turn the information contained in an informal Enterprise Model into the kind of formal model required by an adaptive Workflow System. In its current state of development, FBPML (Fundamental Business Process Modelling Language) covers business processes, organisational structure, agents and their capabilities as well as execution logic that gives direct instructions to a workflow engine. We assist modelling efforts of Enterprise Modellers by giving them a visual modelling language, underpinned by a formal representation, that is expressive and easy to use and that lets them specify the information required by a workflow engine. In this paper, we present our formal enterprise modelling language, FBPML. We show how adaptive workflow systems, like those developed at AIAI (e.g. the Task Based Process Manager [Stader et al, 2000], AKT Workflow [Chen-Burger, 2002a] and I-X system [Tate, 2002]), can take advantage of Enterprise Models represented in FBPML to provide effective support to users in real business environments.

Published
2003

29. Fish4Knowledge- large scale coral reef fish monitoring using undersea computer vision methods

Author

Boom, B.J. (Bas), Spampinato, C. (Concetto), Palazzo, S., Huang, P.X., Beyan, C., He, J. (Jiyin), Beauxis-Aussalet, E.M.A.L. (Emmanuelle), Lin, S.-I., Chou, H.-M., Nadarajan, G., Chen-Burger, Y.-H. (Yun-Heh (Jessica)), Ossenbruggen, J.R. (Jacco) van, Giordano, D. (Daniela), Hardman, L. (Lynda), Lin, F.-P. (Fang-Pang), Shao, K.-T., Fisher, R.B. (Robert), Boom, B.J. (Bas), Spampinato, C. (Concetto), Palazzo, S., Huang, P.X., Beyan, C., He, J. (Jiyin), Beauxis-Aussalet, E.M.A.L. (Emmanuelle), Lin, S.-I., Chou, H.-M., Nadarajan, G., Chen-Burger, Y.-H. (Yun-Heh (Jessica)), Ossenbruggen, J.R. (Jacco) van, Giordano, D. (Daniela), Hardman, L. (Lynda), Lin, F.-P. (Fang-Pang), Shao, K.-T., and Fisher, R.B. (Robert)

Published
2013

30. Long-term underwater camera surveillance for monitoring and analysis of fish populations

Author

Boom, B.J. (Bas), Huang, P.X., Spampinato, C. (Concetto), Palazzo, S., He, J. (Jiyin), Beyan, C., Beauxis-Aussalet, E.M.A.L. (Emmanuelle), Ossenbruggen, J.R. (Jacco) van, Nadarajan, G., Chen-Burger, Y.-H. (Yun-Heh (Jessica)), Giordano, D. (Daniela), Hardman, L. (Lynda), Lin, F.-P. (Fang-Pang), Fisher, R.B. (Robert), Boom, B.J. (Bas), Huang, P.X., Spampinato, C. (Concetto), Palazzo, S., He, J. (Jiyin), Beyan, C., Beauxis-Aussalet, E.M.A.L. (Emmanuelle), Ossenbruggen, J.R. (Jacco) van, Nadarajan, G., Chen-Burger, Y.-H. (Yun-Heh (Jessica)), Giordano, D. (Daniela), Hardman, L. (Lynda), Lin, F.-P. (Fang-Pang), and Fisher, R.B. (Robert)

Abstract

Long-term monitoring of the underwater environment is still labour intensive work. Using underwater surveillance cameras to monitor this environment has the potential advantage to make the task become less labour intensive. Also, the obtained data can be stored making the research reproducible. In this work, a system to analyse long-term underwater camera footage (more than 3 years of 12 hours a day underwater camera footage from 10 cameras) is described. This system uses video processing software to detect and recognise fish species. This footage is processed on supercomputers, which allow marine biologists to request automatic processing on these videos and afterwards analyse the results using a web-interface that allows them to display counts of fish species in the camera footage.

Published
2013

31. Melon fruit color: more than just looks

Author

Pitrat M. (ed), Burger, Y., Tadmor, Y., Lewinsohn, E., Meir, A., Sa'ar, U., Katzir, N., Paris, H.S., Schaffer, A.A., Pitrat M. (ed), Burger, Y., Tadmor, Y., Lewinsohn, E., Meir, A., Sa'ar, U., Katzir, N., Paris, H.S., and Schaffer, A.A.

Abstract

Muskmelons and cantaloupes are climacteric fruits that lose the green color of their fruit rinds upon ripening. Their yellow or orange appearance is easily recognized by consumers as a sign of ripeness. However, these melons have a short shelf life, as this loss of chlorophyll is associated with ethylene synthesis. Observations and comparisons of these melons with the non-climacteric, long-keeping, yellow-rinded casaba melons suggest that through genetic recombination it should be possible to develop cultivars of muskmelons and cantaloupes combining the consumer-driven characteristic of non-green (yellow or orange) mature fruit color with long shelf life., Cucurbitaceae 2008. IX EUCARPIA Meeting. Avignon (France), May 21-24th, 2008

Published
2008

32. Leer-aspecten van organisaties

Author

Kastelein, A., Burger, Y., Demenint, M.I., Treur, J.H.F., and Innovation Technology Entrepr. & Marketing

Abstract

no abstract.

Published
1993

47. Performance of Galia-type melons grafted on toCucurbitarootstock inMonosporascus cannonballus-infested and non-infested soils.

Author

Cohen, R., Burger, Y., Horev, C., Porat, A., and Edelstein, M.

Subjects
*GRAFTING (Horticulture), *PLANT propagation, *MELONS, *CULTIVARS, *ROOTSTOCKS
Abstract

Galia-type melons grafted on to theCucurbitarootstock‘TZ 148’and non-grafted controls were evaluated for vegetative development under greenhouse conditions. In general, the development of grafted and non-grafted plants was similar within a cultivar. The horticultural and pathological performances of the Galia-type melons‘Carrera’,‘NUN-5554’,‘6003’ and‘Arava’ were evaluated in experiments conducted in non-infested andMonosporascus-infestedsoils. In non-infested soil, grafted and non-grafted‘Carrera’,‘NUN-5554’ and‘Arava’ had the same yields. The yield of grafted‘6003’ was significantly higher than that of its non-grafted control. Responses of grafted and non-grafted Galia-type melons toMonosporascus cannonballuswere evaluated and compared in the spring and autumn growing seasons. Significant differences in disease incidence were found among cultivars, between grafted and non-grafted plants, and between growing seasons. Disease reduction and the beneficial effect of grafting on yield were more pronounced in the spring. The results indicate that Galia-type melons can be grafted successfully, but the cultivation of the grafted plants should be adapted to each growing area and season. [ABSTRACT FROM AUTHOR]

Published
2005
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48. Assessing the effect of genetic and anatomic variation of Cucurbita rootstocks on vigour, survival and yield of grafted melons.

Author

Edelstein, M., Burger, Y., Horev, C., Porat, A., Meir, A., and Cohen, R.

Subjects
MUSKMELON, ROOTSTOCKS, GRAFTING (Horticulture), PLANT genetics
Abstract

Melon (Cucumis melo L.) 'Arava' was grafted onto 22 experimental Cucurbita rootstocks including intra- or interspecific hybrids to examine scion-rootstock compatibility and to correlate plant performance under greenhouse and field conditions. The commercial Cucurbita 'TZ-148' rootstock and non-grafted plants were used as controls. Numbers of leaves, stem length and plant fresh weights were recorded three weeks after planting. Vegetative growth of the grafted plants varied markedly, indicating differences in compatibility between the scion and rootstocks. A positive correlation was found between number of leaves, stem length and fresh weight of melon plants. No significant advantage in vegetative growth was found in melons grafted onto intra- or interspecific hybrid rootstocks. Stem diameter and number of vascular bundles of the rootstock did not correlate with scion plant fresh weight. Twelve selected rootstocks out of the 22 tested were grown in the field during the spring and autumn, to determine if there is an association between the plant performance in the greenhouse and fruit yield under field conditions. Positive and significant correlations were found between greenhouse growth parameters and fruit yield under field conditions. It is suggested that testing grafted melons under greenhouse conditions could be a useful tool for preliminary testing of scion-rootstock compatibility. [ABSTRACT FROM AUTHOR]

Published
2004
Full Text
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49. Monitoring physiological races of Podosphaera xanthii (syn. Sphaerotheca fuliginea), the causal agent of powdery mildew in cucurbits: Factors affecting race identification and the importance for research and commerce.

Author

Cohen, R., Burger, Y., and Katzir, N.

Abstract

Identification of the physiological races of Podosphaera xanthii (syn. Sphaerotheca fuliginea), the causal agent of powdery mildew in cucurbits, is based upon the differing responses of various melon cultigens to the pathogen. Eight races of the pathogen have been identified to date in the USA, Africa, Europe and around the Mediterranean Sea, and four new races were reported from greenhouse melons in the major growing area of Japan. Plant responses to powdery mildew may be affected by environmental factors such as light intensity, temperature and humidity, as well as by age and nutritional status of the plants. The same factors affect the accuracy and reliability of race identification. In an attempt to overcome those obstacles, the genetic diversity of P. xanthii was studied using molecular markers. Unfortunately, no correlation was found between DNA polymorphism and the race of the pathogen as identified by biological tests. The usefulness of race identification as a guide for the grower in selecting appropriate cultivars is limited because changes or shifts in the pathogen population are common. Such changes may be found among growing seasons, geographic regions and hosts, and also within a single greenhouse during a single season. On the other hand, race identification is important for basic research and is especially important for the commercial seed industry, which requires accuracy in declaring the type and level of resistance to powdery mildew in its products. [ABSTRACT FROM AUTHOR]

Published
2004
Full Text
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50. Variation in the response of melon genotypes to Fusarium oxysporum f.sp.melonis race 1 determined by inoculation tests and molecular markers.

Author

Burger, Y., Katzir, N., Tzuri, G., Portnoy, V., Saar, U., Shriber, S., Perl-Treves, R., and Cohen, R.

Subjects
*MUSKMELON, *FUSARIUM oxysporum
Abstract

Screening of genotypes of melon (Cucumis melo ) for resistance to wilt caused by Fusarium oxysporum f.sp. melonis is often characterized by wide variability in their responses to inoculation, even under carefully controlled conditions. The variability at the seedling stage of 17 genotypes susceptible to race 1 was examined in growth-chamber experiments. Disease incidence varied from 0 to 100% in a genotype-dependent manner. Using four combinations of light (60 and 90 µ E m[sup -2] s[sup -1] ) and temperatures of (27 and 31°C), only light intensity showed a statistically significant effect. Marker-assisted selection for fusarium resistance breeding using cleaved amplified polymorphic sequence (CAPS) and sequence-characterized amplified region (SCAR) markers were compared using a single set of genotypes that included 24 melon accessions and breeding lines whose genotype regarding the Fom-2 gene was well characterized. The practical value of the markers for discriminating a range of genotypes and clarifying the scoring of phenotypes was also tested using a segregating breeding population which showed codominant SCAR markers to be useful in marker-assisted selection. [ABSTRACT FROM AUTHOR]

Published
2003
Full Text
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