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南山大学情報理工学部　講演会開催

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南山大学情報理工学部では、来る12月15日（木）-16日(金)に， 講師をお招きし，講演会を開催させて頂きますことをご案内申し上げます。 是非，学生の皆様にも声をかけて頂き，ご参加ください。 ------------------------------------------------- ■講師 Prof. Giuseppe Bruno（University of Naples） Prof. Eva K. Lee（Georgia Institute of Technology） Prof. Winston Seah　(Victoria University of Wellington) ■日時 �@2011年12月15日(木) 17:30〜19:00 �A�B2011年12月16日（金）15：30〜18：00 ■場所 南山大学瀬戸キャンパス　Ｈ棟１階 H108号室 ■題目・概要 �@Location problems with equity measures　/Prof. Giuseppe Bruno A location problem consists of the positioning of a set of facilities within a given space. The decision is made on the basis of an objective function, which can concern the minimization of costs or the maximization of benefits. In some contexts, the objective can be defined by a single criterion, while, in more complex situations, more criteria must be monitored simultaneously. In many cases the goal is to maximize efficiency which can be expressed by the sum of distances among facilities and users (located in demand points). However, in applications related to the location of public facilities, although the former measure still takes into account relevant issues, the distribution of distances among users is crucial too. For this reason, since the 1990s research on location problems aiming at balancing distances among users and facilities has had a significant attention. The balancing objectives are related to the achievement of an “equity” goal which is linked, in turn, to the more complex concept of “equality”. In literature we can observe two main different lines of research regarding location models focusing on equity issues. A first line of research concerns the formulation of location problems involving equality measures and proposes efficient algorithms for solving them. A second line of research deals the analysis of properties that equality measures should satisfy. Given the quite large number of equity measures that have been introduced, there is a concern about their intrinsic meaning and ability in keeping track of equity issues. We perform an empirical analysis by solving problems using different equity measures. This way we aim at investigating the relationships among equity measures in order to underline similarities and differences and their degree of “overlap”. �APredictive Model for Alzheimer’s Disease and Mild Cognitive Impairment　/Prof. Eva K. Lee This work is joint with Emory Center for Neurodegenerative Disease and Alzheimer’s Disease Center and the Department of Neurology. Early detection of cognitive impairment or Alzheimer’s Disease is key to successful treatment. In this study, we present an optimization-based classification model and feature selection algorithms to predict the cognitive status of a group of individuals. The study is intended for clinical decision making for early diagnosis and successful treatment. �BWireless Communication Networks in Extreme Environments :Trends and Challenges　/Prof. Winston Seah The use of wireless communications is swiftly extending beyond networks for the average person to networks for embedded devices, sensors and autonomous systems, as well as networks for personnel in extreme environments - underground, underwater and in disaster situations. Many existing wireless networking technologies have not been designed to handle conditions presented by such environments and may not operate up to expectations. Some may even fail totally. This lecture discusses the challenges of designing robust wireless networks for communications in these extreme environments as well as issues to be addressed in order for research to be implemented and deployed in a realistic environment. ■お問合せ先 南山大学　情報理工学部 suuri-common@nanzan-u.ac.jp 以上