情報通信システム実験A2グループの信号処理実験レポート提出期限は1月18日（月）17時でしたが、大雪のため、19日（火）17時に延期します。

19日も引き続き交通機関などに乱れがある場合につきましては、追って連絡します。

Our team member, Ivan, has finished his short-term cross-cultural communication program and gave a talk summarizing his work during his stay.

Dr. Fan Bai (IEEE fellow, General Motors Corporation) gave a exciting lecture as IEEE Distinguished Lecturer at our research center, which was supported by IEEE VTS Japan Chapter.

Title : Information Centric Networking on Wheels (IC NoW) –  Architecture and Protocols
Abstract : Recent developments in the automotive industry point to a new emerging domain of vehicular wireless networks, in which vehicles equipped with radios can communicate a wide range of information to each other and the wider Internet, including traffic and safety updates as well as infotainment content.  In this talk, I will discuss how to develop a hybrid network architecture for such vehicular networks which combines both the existing cellular infrastructure as well as new vehicle-to-vehicle (V2V) communication capabilities. The hypothesis is that such a hybrid network architecture will improve cost, capacity and robustness, compared to either a purely centralized cellular-based approach or a purely distributed V2V approach. Under a hybrid architecture, we aim to design information-centric protocols for information dissemination, aggregation, and storage that can exploit the spatio-temporally localized nature of vehicular applications.

We welcome a new visiting student,Ivan Roberto Rojas from Gonzalez,Instituto Politecnico Nacional in Mexico to our laboratory.

国立工科大学（メキシコ）よりイウァン・ゴンザレス君が本研究室に1ヶ月滞在します。

Prof. Won-Yong Shin from Dankook University visited our laboratory who is an ex-colleague of Prof. Ishibashi at Harvard university. He gave us an exciting and impressive talk and shared his recent results with us. The title and abstract of his talk were as follows:

Title : Huge Challenges on Twitter Analytics Using Geolocation
Abstract : Research in the field of online social networks (OSN) has grown dramatically with the evolution of technologies while harvesting Big Data. Twitter is one of the most popular micro-blogs (or social media). In this talk, I’m going to briefly explain how to perform data collection and processing from the Twitter network via Twitter Streaming API. Next, I’m going to show two recent results analyzed based on geo-tagged tweets. First, I characterize a newly discovered friendship degree according to geographic distance by introducing a new definition of “bidirectional friendship”. The study demonstrates the fact that  the number of friends according to distance follows a double power-law (i.e., double Pareto law) distribution. Second, I introduce a low-complexity algorithm that detects a “point-of-interest (POI)” boundary. Detected boundaries are shown along with a variety of POI types, and it is verified that the runtime complexity scales linearly with the input size.