Наблюдение за пациентами, получившими лекарственные препараты для генной терапииPHARMADVISOR
[Guideline on Follow-up of Patients Administered With Gene Therapy Medicinal Products]
Руководство по последующему наблюдению за пациентами, получившими лекарственные препараты для генной терапии
Jayani Withanawasam
Jayani is a senior software engineer at Zaizi Asia. She is the author of "Apache Mahout Essentials” on scalable machine learning. She presented at Alfresco Summit 2014 on application of machine learning techniques in smart ECM solutions. She is currently following M.Sc. in Artificial Intelligence at University of Moratuwa.
In her session Jayani will share her experience on presenting a poster presentation at WiML 2015 workshop and attending NIPS 2015 conference.
Наблюдение за пациентами, получившими лекарственные препараты для генной терапииPHARMADVISOR
[Guideline on Follow-up of Patients Administered With Gene Therapy Medicinal Products]
Руководство по последующему наблюдению за пациентами, получившими лекарственные препараты для генной терапии
Jayani Withanawasam
Jayani is a senior software engineer at Zaizi Asia. She is the author of "Apache Mahout Essentials” on scalable machine learning. She presented at Alfresco Summit 2014 on application of machine learning techniques in smart ECM solutions. She is currently following M.Sc. in Artificial Intelligence at University of Moratuwa.
In her session Jayani will share her experience on presenting a poster presentation at WiML 2015 workshop and attending NIPS 2015 conference.
Надлежащая практика заготовки растительных исходных материаловPHARMADVISOR
[Good Agricultural and Collection Practice for starting materials of Herbal Origin]
Руководство по надлежащей практике сельского хозяйства и заготовки (GACP) исходных материалов растительного происхождения
Self-propagating malware (e.g., an Internet worm) exploits security loopholes in software to infect servers and then use them to scan the Internet for more vulnerable servers. While the mechanisms of worm infection and their propagation models are well understood, defense against worms remains an open problem. One branch of defense research investigates the behavioral difference between worm-infected hosts and normal hosts to set them apart. One particular observation is that a worm-infected host, which scans the Internet with randomly selected addresses, has a much higher connection-failure rate than a normal host. Rate-limit algorithms have been proposed to control the spread of worms by traffic shaping based on connection failure rate. However, these rate-limit algorithms can work properly only if it is possible to measure failure rates of individual hosts efficiently and accurately. This paper points out a serious problem in the prior method. To address this problem, we first propose a solution based on a highly efficient double-bitmap data structure, which places only a small memory footprint on the routers, while providing good measurement of connection failure rates whose accuracy can be tuned by system parameters. Furthermore, we propose another solution based on shared register array data structure, achieving better memory efficiency and much larger estimation range than our double-bitmap solution.
Somos fabricantes de ropa laboral desde 1967. Tenemos más de 450 modelos en stock. Diseñamos y confeccionamos ropa personalizada en 20 días o bien creamos su imagen corporativa en 3 días LOW COST y SIN MÍNIMOS. Sólo venta a distribuidores.
Надлежащая практика заготовки растительных исходных материаловPHARMADVISOR
[Good Agricultural and Collection Practice for starting materials of Herbal Origin]
Руководство по надлежащей практике сельского хозяйства и заготовки (GACP) исходных материалов растительного происхождения
Self-propagating malware (e.g., an Internet worm) exploits security loopholes in software to infect servers and then use them to scan the Internet for more vulnerable servers. While the mechanisms of worm infection and their propagation models are well understood, defense against worms remains an open problem. One branch of defense research investigates the behavioral difference between worm-infected hosts and normal hosts to set them apart. One particular observation is that a worm-infected host, which scans the Internet with randomly selected addresses, has a much higher connection-failure rate than a normal host. Rate-limit algorithms have been proposed to control the spread of worms by traffic shaping based on connection failure rate. However, these rate-limit algorithms can work properly only if it is possible to measure failure rates of individual hosts efficiently and accurately. This paper points out a serious problem in the prior method. To address this problem, we first propose a solution based on a highly efficient double-bitmap data structure, which places only a small memory footprint on the routers, while providing good measurement of connection failure rates whose accuracy can be tuned by system parameters. Furthermore, we propose another solution based on shared register array data structure, achieving better memory efficiency and much larger estimation range than our double-bitmap solution.
Somos fabricantes de ropa laboral desde 1967. Tenemos más de 450 modelos en stock. Diseñamos y confeccionamos ropa personalizada en 20 días o bien creamos su imagen corporativa en 3 días LOW COST y SIN MÍNIMOS. Sólo venta a distribuidores.