176 research outputs found
Dr. Yucel Yanikdag – Faculty Author Interview
No full textDr. Yucel Yanikdag, Associate Professor of History discusses his new book, Healing the Nation: Prisoners of War, Medicine and Nationalism in Turkey, 1914-1939, published recently by Edinburgh University Press. In this book, he explores how Ottoman prisoners of war and military doctors of the First World War discursively constructed their nation as a community, and at the same time attempted to exclude certain groups from that nation. Yanikdag aims to broaden the discussion of nationalism to explore how ideological and biological factors influenced each other
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No full textTo my family iii ACKNOWLEDGEMENTS First of all, I would like to express my sincere gratitude to my advisor, Dr. Mostafa H. Ammar. During my doctoral studies at Georgia Institute of Technology, he has provided me with insightful vision, thoughtful guidance, and valuable comments. It has been a great pleasure to have him as an advisor. Without his guidance, this dissertation would not be successfully completed. Also I would like to express my gratitude to my co-advisor, Dr. Yucel Altunbasak for his invaluable comments and suggestions. I am also grateful to other members of my dissertation committee, Dr. John Barry, Dr. Chuanyi Ji, Dr. George Riley, Dr. Henry Owen, and Dr. Jack Brassil for their feedback and suggestions. Special thanks go to Dr. Jack Brassil in HP Labs; Dr. Markus Hofmann and Dr. Volker Hilt in Lucent Bell Labs. They provided me with the opportunities to explore the multi-media research in the industrial environments. I appreciate their thoughtful consideration and constant encouragement that enabled me to have successful industry experiences. I am also grateful to all other colleagues in the Networking and Telecommunications Group for their comments and our collaborations. I will cherish the pleasant memory of the excellent environment and friendly atmosphere in the group. Finally, I would like to express the deepest gratitude to my family. Especially I would like to thank my wife and son, Ilhee and Hyunseong, for their love and encouragement so that I can devote myself to the doctoral research. I also appreciate our parents and brothers in Korea for their support. i
DEDICATION
No full textTo my parents and to Parag, for their support, faith, and selfless love ACKNOWLEDGMENT First and foremost, I would like to thank my parents for everything they have done for me. My gratitude for their kindness and love cannot be expressed in words. My journey as a graduate student would not have begun without the constant encouragement and inspiration from my brother, Dr. Parag Ravindran. He has often been the calming influence during the frustrations of missed deadlines and failed experiments. I am forever indebted to him. I would like to express my deepest thanks to my thesis Advisor, Prof. David Anderson, for his guidance, patience, and support. His wonderful ability to balance guidance and exploratory learning has made this journey a valuable experience. I would also like to express my gratitude to my thesis committee members, Dr. Chin-Hui Lee, Dr. Paul Hasler, Dr. James Rehg and Dr. Yucel Altunbasak for their useful comments, suggestions, and readiness to help every time I approached them. I would like to express my heartfelt gratitude to Dr. Malcolm Slaney, for his guidance and advice. His ability to catch glitche
Dynamic Channel Reordering to Reduce Latency During Surfing Periods in IPTV Networks
No full textIn IPTV networks, channel change latency represents a major concern in achieving broadcast-level service quality. Bandwidth limitations at the user side prevents the clients from receiving all the channels at once. As a result, most of the requests have to go through the network leading to significant delays during the channel change process. In this paper, we address this latency problem in IPTV networks by proposing a novel channel reordering technique that exploits the differing key-frame delivery times for the adjacent sessions to dynamically arrange the switching order during the surfing periods. The simulation results show that, compared to static channel ordering techniques, the proposed framework can achieve more than 50% improvement in channel change latency without introducing any significant overhead in the network. The proposed dynamic reordering technique is also shown to be robust against variations observed in channel listings and/or session time-shifts
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