Publication

@inproceedings{6550369,

title = {Social Link Analysis Using Wireless Beaconing and Accelerometer},

author = {K Shimizu and M Iwai and K Sezaki},

doi = {10.1109/WAINA.2013.141},

year  = {2013},

date = {2013-03-01},

booktitle = {2013 27th International Conference on Advanced Information Networking and Applications Workshops},

pages = {33-38},

abstract = {As smartphones equipped with numerous sensors are ubiquitous and are almost always kept in close proximity of their owners, identifying opportunistic links from the real world and incorporating them in online social networks are now feasible. However, like any other application that involves smartphone sensing, this endeavor also faces the challenge of efficient energy consumption and robustness against data loss due to collisions. In this research work, we try to address these challenges. We have proposed a sensing system that senses human proximity consuming less energy. We have also developed a prediction mechanism that makes our proposed system more robust against sensing data losses. Evaluation results based on both simulation and real world data show that the system demonstrates greater robustness with less power consumption, hence the proposed system is a practical solution that is ready to be deployed.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{汪少哲2013b,

title = {再生可能エネルギを利用した大規模 WSN の長期運用手法 (情報ネットワーク)},

author = {汪少哲 and 岩井将行 and 瀬崎薫},

url = {https://www.ieice.org/ken/paper/20130307GBC7/},

issn = {0913-5685},

year  = {2013},

date = {2013-02-28},

booktitle = {電子情報通信学会技術研究報告: 信学技報},

volume = {112},

number = {464},

pages = {101--106},

publisher = {一般社団法人電子情報通信学会},

abstract = {広域エリアを柔軟にカバーできるWSNは災害探知，環境モニタリングに応用される．WSNを長期連続運用するためには，energy harvest技術が有力である．再生可能エネルギの利用を考慮した，ライフタイム予測モデルの改良を行った新しいWSN長期運用手法を提案し，現実に近いシミュレーションを行う必要がある．そのため本稿では，天気や地形などのリアル情報を導入したシミュレータでその運用手法を検証した． },

keywords = {シミュレーション, ライフタイム, 発電, 自然エネルギ, 長期運用},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{110009728222,

title = {個人情報保護を考慮した空間情報構築手法の検討},

author = {青木俊介 and 岩井将行 and 瀬崎薫},

url = {https://ci.nii.ac.jp/naid/110009728222/},

issn = {0913-5685},

year  = {2013},

date = {2013-02-01},

booktitle = {電子情報通信学会技術研究報告 : 信学技報},

volume = {112},

number = {430},

pages = {73-78},

publisher = {一般社団法人電子情報通信学会},

abstract = {センサを搭載したスマートフォンが急速に普及していることを背景に,一般ユーザの持つ携帯端末をセンシングポイントとするユーザ参加型センシングによる空間情報の構築が期待されている.一般ユーザのスマートフォンを用いることによって,既存のセンシングでは得られない詳細な統計情報を構築するが,この際に携帯端末はユーザの行動と密接な関係を持っているために個人情報と個人情報に直結する情報を秘匿化する技術の開発が非常に重要となる.センシングに参加する一般ユーザのプライバシー侵害に対する不安を取り除き,より多くのユーザがセンシングに参加する環境をつくりだすために,ユーザ側でデータ加工を行う研究が数多くなされているが,個々のデータに関する統計情報のデータ分布が一般に明らかとなっている場合,ユーザのプライバシー性が大きく下がってしまうという課題が挙げられる.本研究では,統計情報をカテゴリデータとして捉え,データ分布が既知である際に個人情報保護を考慮した統計情報の構築手法について提案する.



Participatory sensing is emerging system for collecting spatial statistical information by gathering data from citizens as the rapid spread of smartphones mounted multiple sensors. To promote use of participatory sensing, the protection of privacy is important to consider because the system aggregates data sets from each smartphone which is closely related with participants. There are many research for protecting privacy in participatory sensing, but when the data distribution is generally known, attacker can easily infer original data which is participants' sen-sitive information. In this research, we deal with categorized data sets for collecting minute statistics and suggest new scheme for known data distribution.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{weko_152578_1,

title = {フィールド調査負荷を考慮した動物の生態行動を逆利用したデータ運搬手法の提案},

author = {中川慶次郎 and 小林博樹 and 奥野淳也 and 岩井将行 and 瀬崎薫},

url = {https://ci.nii.ac.jp/naid/110009814146/},

year  = {2013},

date = {2013-01-01},

booktitle = {情報科学技術フォーラム講演論文集},

volume = {12},

number = {4},

pages = {527--530},

publisher = {FIT(電子情報通信学会・情報処理学会)運営委員会},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{inproceedingsm,

title = {Perturbation with General Tendency for Mobile Community Sensing},

author = {Shunsuke Aoki and Kobayashi Hiroki and Masayuki Iwai and Kaoru Sezaki},

year  = {2013},

date = {2013-01-01},

journal = {IEEE Software},

volume = {30},

pages = {23-30},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{10.1145/2517351.2517382,

title = {Interoperable Mobile Agents in Heterogeneous Wireless Sensor Networks},

author = {Teemu Leppänen and Jose Alvarez Lacasia and Archana Ramalingam and Meirong Liu and Erkki Harjula and Pauli Närhi and Jani Ylioja and Jukka Riekki and Kaoru Sezaki and Yoshito Tobe and Timo Ojala},

url = {https://doi.org/10.1145/2517351.2517382},

doi = {10.1145/2517351.2517382},

isbn = {9781450320276},

year  = {2013},

date = {2013-01-01},

booktitle = {Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems},

publisher = {Association for Computing Machinery},

address = {Roma, Italy},

series = {SenSys ’13},

keywords = {constrained application protocol, embedded web services, mobile agents, Wireless sensor networks},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{10.1145/2541831.2541861,

title = {Cicada Fingerprinting System: From Artificial to Sustainable},

author = {Shunsuke Aoki and Hiroki Kobayashi and Kaoru Sezaki},

url = {https://doi.org/10.1145/2541831.2541861},

doi = {10.1145/2541831.2541861},

isbn = {9781450326483},

year  = {2013},

date = {2013-01-01},

booktitle = {Proceedings of the 12th International Conference on Mobile and Ubiquitous Multimedia},

publisher = {Association for Computing Machinery},

address = {Luleå, Sweden},

series = {MUM ’13},

keywords = {HCBI (human computer biosphere interaction), localization, mobile computing, nature interface, smart fusion, sustainability, ubiquitous},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{党聡維2012,

title = {M-009 A Pedestrian Navigation System for Thermal Comfort},

author = {党聡維 and 岩井将行 and 戸辺義人 and 瀬崎薫},

url = {http://id.nii.ac.jp/1001/00151844/},

year  = {2012},

date = {2012-09-04},

booktitle = {情報科学技術フォーラム講演論文集},

volume = {11},

number = {4},

pages = {237--238},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{110009928262b,

title = {マイクロブログの書き込み内容に基づく都市空間リアルタイム擬人化表現の研究},

author = {奥野淳也 and 石塚宏紀 and 岩井将行 and 瀬崎薫},

url = {https://jglobal.jst.go.jp/detail?JGLOBAL_ID=201202284676890586},

issn = {1882-0840},

year  = {2012},

date = {2012-07-01},

booktitle = {マルチメディア，分散，協調とモバイル(DICOMO2012)シンポジウム},

volume = {2012},

number = {1},

pages = {ROMBUNNO.4C-3},

publisher = {情報処理学会シンポジウムシリーズ},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{110009928262d,

title = {無線センサネットワークを利用した斜面崩壊検知システムおよびシミュレータ},

author = {岩井将行 and 岡田謙吾 and 石澤友浩 and 酒井直樹 and 瀬崎薫},

year  = {2012},

date = {2012-07-01},

booktitle = {マルチメディア，分散，協調とモバイル(DICOMO2012)シンポジウム},

number = {8E-1},

pages = {2153-2160},

publisher = {情報処理学会 DPS 研究会},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{6240529c,

title = {Towards urban phenomenon sensing by automatic tagging of tweets},

author = {M A H Khan and M Iwai and K Sezaki},

doi = {10.1109/INSS.2012.6240529},

year  = {2012},

date = {2012-06-01},

booktitle = {2012 Ninth International Conference on Networked Sensing (INSS)},

pages = {1-7},

abstract = {Micro-blogging sites like Twitter have become a valuable source of information due to their recent upsurge in popularity. The objective of this research is to sense the urban phenomena like peoples' interest in particular topics or shift of interest from one topic to another. Sometimes, even just the proportion of tweets related to a topic appearing in the daily Twitter corpus of a region can give a good indication about peoples' level of interest in that topic on that particular day. Unfortunately, most of the tweets are not explicitly tagged with topic keywords by the Twitter users. In this paper we propose a method for automatic tagging of untagged tweets. Our method is based on identification of important collocations from a large training set of tweets. We then train a multinomial Naiıve Bayes classifier using these collocation features for tagging untagged tweets. We could achieve 88.25% accuracy with high precision and recall.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{柳原正2012,

title = {運転者の移動意図の変化を検出するための手法に関する一考察},

author = {柳原正 and 岩井将行 and 清水和人 and 瀬崎薫},

url = {http://id.nii.ac.jp/1001/00110030/},

year  = {2012},

date = {2012-03-06},

booktitle = {第74回全国大会講演論文集},

volume = {2012},

number = {1},

pages = {35--36},

abstract = {本研究では、運転者が目的地へ向かう際に発生する突発的な寄り道等のユーザの移動意図の変化を事前に検出することを目的とする。本目的を達成する際に解決しなければならない課題と、必要となる分析モデルに関する考察結果を報告する。 },

keywords = {ネットワーク},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Shimizu12,

title = {スマートフォンのBluetoothと加速度センサを用いた人間関係の推定手法},

author = {清水和人 and 岩井将行 and 瀬崎薫},

year  = {2012},

date = {2012-01-01},

booktitle = {HPBシンポジウム2012},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{汪12,

title = {風力・太陽光発電を用いるWSNシミュレータによる長期運用評価},

author = {汪少哲 and 岩井将行 and 瀬崎薫},

year  = {2012},

date = {2012-01-01},

booktitle = {HPBシンポジウム2012},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{6483674,

title = {Limited Negative Surveys: Privacy-preserving participatory sensing},

author = {Shunsuke Aoki and Masayuki Iwai and Kaoru Sezaki},

doi = {10.1109/CloudNet.2012.6483674},

isbn = {978-1-4673-2797-8},

year  = {2012},

date = {2012-01-01},

booktitle = {2012 IEEE 1st International Conference on Cloud Networking (CLOUDNET), 28-30 Nov. 2012, Paris, France},

journal = {2012 1st IEEE International Conference on Cloud Networking, CLOUDNET 2012 - Proceedings},

pages = {158-160},

abstract = {Participatory sensing is a crowd-sourcing technique that relies on participants' active contribution. By aggregating data sets from each participant, we can collect statistical information of the environment or phenomenona in the cloud. To promote use of participatory sensing in healthcare, research, and other useful applications, the protection of privacy is important to consider. The invasion of privacy in participatory sensing would have dire consequences because mobile phone used by these applications have sensitive data about users daily life. In this paper, we suggest a privacy-preserving participatory sensing scheme for real-world data sets with large numbers of categories by using Limited Negative Surveys. By using our method described in this paper, the server can reconstruct the probability distributions of the original distributions of sensed values without knowing the personal information of citizens. Furthermore, our research has the capablity to change, according to the features of data, especially the number of categories. We evaluate how this scheme of aggregate information can be still useful while protecting the privacy of users' original data.},

keywords = {Base stations, Data privacy, Educational institutions, Mobile handsets, Privacy, Protocols, sensors},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{6199852,

title = {NaviComf: Navigate pedestrians for comfort using multi-modal environmental sensors},

author = {C Dang and M Iwai and K Umeda and Y Tobe and K Sezaki},

year  = {2012},

date = {2012-01-01},

booktitle = {2012 IEEE International Conference on Pervasive Computing and Communications},

pages = {76-84},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{6175717,

title = {Economic assessment on V2G frequency regulation regarding the battery degradation},

author = {S Han and S Han and K Sezaki},

year  = {2012},

date = {2012-01-01},

booktitle = {2012 IEEE PES Innovative Smart Grid Technologies (ISGT)},

pages = {1-6},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Liu2012AMF,

title = {A Method for Online Trajectory Simplification by Enclosed Area Metric},

author = {Guangwen Liu and Masayuki Iwai and Kaoru Sezaki},

year  = {2012},

date = {2012-01-01},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{6240529,

title = {Towards urban phenomenon sensing by automatic tagging of tweets},

author = {M A H Khan and M Iwai and K Sezaki},

year  = {2012},

date = {2012-01-01},

booktitle = {2012 Ninth International Conference on Networked Sensing (INSS)},

pages = {1-7},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{6379425,

title = {A robust and scalable framework for detecting self-reported illness from twitter},

author = {M A H Khan and M Iwai and K Sezaki},

year  = {2012},

date = {2012-01-01},

booktitle = {2012 IEEE 14th International Conference on e-Health Networking, Applications and Services (Healthcom)},

pages = {303-308},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}