University of Electro-Communications publishes December 2016 issue of e-Bulletin.
The December 2016 issue of the UEC e-Bulletin includes a feature article on the research activities of graduate students and spotlights research topics on 'analysis of big data for peer assessment', by Masaki Uto; and 'the search for single-molecule magnets' by Takayuki Ishida.
Research highlights from high impact publications are 'Network traffic anomaly detection by machine learning' by Hiroyuki Kasai; 'Coding theorem defines decoding error capacity for general scenarios' by Hideki Yagi; 'Improvements in decision making algorithms' by Hiroyuki Sato; and 'Speech signal processing for enhancing voice conversion models' by Toru Nakashika.
There are also news updates including an overview of the Irago Conference 2016 is held at UEC, Tokyo, 1-2 November 2016.
Navigating the open seas of graduate school
The move from undergraduate studies based on highly structured lecture courses with clearly defined goals and timelines to the nerve racking freedom offered by graduate school is a challenging transition. Here, three UEC graduate students describe their goals and share their aspirations in pursuit of scientific excellence.
Network traffic anomaly detection - machine learning
"Diagnosing unusual events (called "anomalies") in a large-scale network like Internet Service Providers and enterprise networks is critical and challenging for both network operators and end users," explain Hiroyuki Kasai from The University of Electro-Communications in Japan, and co-authors Wolfgang Kellerer Martin Kleinsteuber at the Technical University of Munich in Germany in a recent report. In their latest work they devise a computationally efficient and effective algorithm to identify network level anomalies by exploiting the state-of-the-art machine learning algorithms, especially the large-scale higher-order tensor tracking technique.
Coding theorem defines decoding error capacity for general scenarios
The rate at which information can be coded so that it can be decoded within a particular error probability constraint is one of the "major research topics in information theory" as Hideki Yagi at the University of Electro-Communications, Te Sun Han at the National Institute of Information and Communications Technology, and Ryo Nomura at Senshu University in Japan explain in their recent report. In this latest work they formulate a theorem for a general class of coding theorems that gives a formula for the decoding error capacity. They also show how the theorem reduces to known theorems for more restricted scenarios.
Engineering: Improvements to a decision-making algorithm
In fields such as engineering, economics or finance, highly complex decisions must be made, often incorporating multiple, at times contradictory, objectives. Highly specialised computer algorithms can help find the best possible solutions to these multi-objective problems (MOPs).
Speech signal processing: Enhancing voice conversion models
Altering a person's voice so that it sounds like another person is a useful technique for use in security and privacy, for example. This computational technique, known as voice conversion (VC), usually requires parallel data from two speakers to achieve a natural-sounding conversion. Parallel data requires recordings of two people saying the same sentences, with the necessary vocabulary, which are then time-matched and used to create a new target voice for the original speaker.
Evaluating the evaluators: Analysis of big data for peer assessment
Assistant Professor Masaki Uto and Professor Maomi Ueno are pursuing research in areas including machine learning, artificial intelligence, information science, statistics, and educational technology, at the Department of Computer and Network Engineering, Graduate School of Informatics and Engineering, University of Electro-Communications.
Attraction of complex chemistry: Quest for innovative single-molecule magnets
"I am a molecular/crystal designer", says Professor Takayuki Ishida, at the Department of Engineering Science, Graduate School of Informatics and Engineering, University of Electro-Communications. "My research started by trying to answer the question: 'can organic materials be magnetic?' My policy for research in order to answer this question has been: chemical and physical properties must be predictable from structures, and molecular and crystal structures must be designed for target properties."
News and Events
Irago Conference 2016 is held at UEC, Tokyo.
The Irago Conference 2016 was held 1-2 November 2016 at the University of Electro-Communications, Chofu City, Tokyo.
UEC students receive Irago Conference 2016 Awards
UEC graduate students Kanami Ikeda and Natsumi Hara received the Irago Conference 2016 Best Graduate Student Presentation and Best Poster awards, respectively.