Publication

@inproceedings{10.1145/2502081.2502125,

title = {Tele Echo Tube: Beyond Cultural and Imaginable Boundaries},

author = {Hill Hiroki Kobayashi and Akio Fujiwara and Kazuhiko Nakamura and Kaoru Saito and Kaoru Sezaki},

url = {https://doi.org/10.1145/2502081.2502125},

doi = {10.1145/2502081.2502125},

isbn = {9781450324045},

year  = {2015},

date = {2015-01-15},

booktitle = {Proceedings of the 21st ACM International Conference on Multimedia},

pages = {173–182},

publisher = {Association for Computing Machinery},

address = {Barcelona, Spain},

series = {MM ’13},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{10.1145/2800835.2800847,

title = {Senbay: Smartphone-Based Activity Capturing and Sharing Using Sensor-Federated Video},

author = {Yuuki Nishiyama and Tadashi Okoshi and Yin Chen and Takuro Yonezawa and Jin Nakazawa and Hideyuki Tokuda},

url = {https://doi.org/10.1145/2800835.2800847},

doi = {10.1145/2800835.2800847},

isbn = {9781450335751},

year  = {2015},

date = {2015-01-01},

booktitle = {Adjunct Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers},

pages = {21–24},

publisher = {Association for Computing Machinery},

address = {Osaka, Japan},

series = {UbiComp/ISWC’15 Adjunct},

keywords = {application, experiment storing, platform, practical tool, sharing experiment},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{10.1145/2833165.2833175,

title = {MoveSense: Spatio-Temporal Clustering Technique for Discovering Residence Change in Mobile Phone Data},

author = {Dunstan Matekenya and Masaki Ito and Yoshito Tobe and Ryosuke Shibasaki and Kaoru Sezaki},

url = {https://doi.org/10.1145/2833165.2833175},

doi = {10.1145/2833165.2833175},

isbn = {9781450339711},

year  = {2015},

date = {2015-01-01},

booktitle = {Proceedings of the 6th ACM SIGSPATIAL International Workshop on GeoStreaming},

pages = {59–68},

publisher = {Association for Computing Machinery},

address = {Bellevue, WA, USA},

series = {IWGS ’15},

keywords = {Anomaly Detection, Clustering, Human mobility, Internal migration},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{7412562,

title = {Avoiding bufferbloat with frame-drop threshold notification in ring aggregation networks},

author = {Y Nakayama and K Sezaki},

year  = {2015},

date = {2015-01-01},

booktitle = {2015 21st Asia-Pacific Conference on Communications (APCC)},

pages = {508-513},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{110009984248,

title = {Estimation of Crowd Density and Mobility in Mass Event Using Wi-Fi Direct},

author = {Jiang Tiantian and Masaki Ito and Kaoru Sezaki},

url = {https://ci.nii.ac.jp/naid/110009984248/en/},

year  = {2015},

date = {2015-01-01},

booktitle = {Proceedings of the Society Conference of IEICE},

volume = {2015},

number = {2},

publisher = {The Institute of Electronics, Information and Communication Engineers},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{inproceedingsj,

title = {Synchronization of Peripheral Vision and Wearable Sensors for Animal-to-Animal Interaction},

author = {Ko Makiyama and Keijiro Nakagawa and Maki Katayama and Miho Nagasawa and Kaoru Sezaki and Kobayashi Hiroki},

doi = {10.1007/978-3-319-20916-6_69},

year  = {2015},

date = {2015-01-01},

volume = {9170},

pages = {753-764},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{110010002136,

title = {Secure Cooperation Scheme Using Fountain codes to Resist Untrustworthy Relay},

author = {Hao Niu and Tiantian Jiang and Masaki Ito and Kaoru Sezaki},

url = {https://ci.nii.ac.jp/naid/110010002136/en/},

issn = {0913-5685},

year  = {2015},

date = {2015-01-01},

booktitle = {Technical report of IEICE. RCS},

volume = {114},

number = {395},

pages = {147-150},

publisher = {The Institute of Electronics, Information and Communication Engineers},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Aoki_interfacesfor,

title = {Interfaces for Defining the Privacy of Sensor Data based on Users' Preferences},

author = {Shunsuke Aoki and Kaoru Sezaki},

url = {http://www.hotmobile.org/2015/papers/posters/Aoki.pdf},

year  = {2015},

date = {2015-01-01},

booktitle = {The 16th International Workshop on Mobile Computing Systems and Applications (ACM HotMobile' 15)},

publisher = {ACM},

address = {Santa Fe, USA,},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{,

title = {有線・無線ネットワーク協調復旧システムにおける復旧用AP配置},

author = {中山悠 and 丸田一輝 and 瀬崎薫},

year  = {2015},

date = {2015-01-01},

booktitle = {地理情報システム学会第24回学術研究発表大会},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{kato2014,

title = {モバイル端末ユーザーのプライバシー意識に関する調査から，企業とユーザーの権力構造を検討する},

author = {加藤宗肖 and 鵜飼祐太 and 瀬崎薫},

year  = {2014},

date = {2014-11-01},

booktitle = {第87回日本社会学会大会},

publisher = {日本社会学会大会},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{7031284,

title = {Secure transmission through multihop relaying in wireless body area networks},

author = {H Niu and Li Sun and M Ito and K Sezaki},

doi = {10.1109/GCCE.2014.7031284},

issn = {2378-8143},

year  = {2014},

date = {2014-10-01},

booktitle = {2014 IEEE 3rd Global Conference on Consumer Electronics (GCCE)},

pages = {395-396},

abstract = {This paper analyzes the application of multihop relaying to improve the physical layer security of a wireless body area network (WBAN). Based on the channel characteristics of WBAN, the secrecy outage performance for single-hop and multihop transmission is studied. Results illustrate that multihop relaying performs much better than the single-hop due to the severe path loss caused by the human body.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{7136148,

title = {User cooperation analysis under eavesdropping attack: A game theory perspective},

author = {H Niu and L Sun and M Ito and K Sezaki},

doi = {10.1109/PIMRC.2014.7136148},

issn = {2166-9589},

year  = {2014},

date = {2014-09-01},

booktitle = {2014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communication (PIMRC)},

pages = {139-144},

abstract = {In this paper, the user cooperation behaviors under eavesdropping attack are analyzed through game theory. Considering the physical layer security, we prove that the conventional cooperation scheme actually deteriorates the secrecy performance compared to the direct transmission, given that the eavesdropper has a better channel condition to the users than the destination. In this case, the necessary condition of the cooperation that the users should obtain additional utilities from the cooperation is not satisfied, which makes the users have no incentive to participate in the cooperation game. In order to motivate users, an adaptive cooperation scheme is designed to improve the secrecy performance even if the eavesdropping channel is superior to the destination's channel, and it is also observed that the mutual cooperation is one of the Nash equilibriums. We further exploit the Stackelberg game with a punishment mechanism to make the mutual cooperation as the unique Nash equilibrium.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{weko_105151_1,

title = {モバイル端末が創出する位置情報の利用に対するユーザー意識の質的調査},

author = {加藤宗肖 and 伊藤昌毅 and 清水亮 and 木實新一 and 瀬崎薫},

year  = {2014},

date = {2014-07-01},

booktitle = {マルチメディア、分散協調とモバイルシンポジウム2014論文集},

volume = {2014},

pages = {1965--1972},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{sakamoto2014,

title = {参加型センシングにおけるカバレッジと質を考慮したノード選択手法の提案と評価},

author = {坂本敬太 and 青木俊介 and 伊藤昌毅 and 瀬崎薫},

year  = {2014},

date = {2014-07-01},

booktitle = {マルチメディア, 分散, 協調とモバイル(DICOMO2014)シンポジウム},

number = {4G-2},

publisher = {情報処理学会},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{,

title = {動物を利用した環境調査のための遭遇検知による効率的なデータ転送手法の提案},

author = {伊藤昌毅 and 中川慶次郎 and 小林博樹 and 瀬崎薫 },

year  = {2014},

date = {2014-07-01},

booktitle = {マルチメディア, 分散, 協調とモバイル(DICOMO2014)シンポジウム},

pages = {605-612},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{,

title = {場所の可能性を引き出すメディアをデザインする},

author = {伊藤昌毅},

year  = {2014},

date = {2014-07-01},

booktitle = {第11回ヒューマンプローブ研究会, 電子情報通信学会, 箱根},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{6883988,

title = {Privacy-preserving community sensing for medical research with duplicated perturbation},

author = {Shunsuke Aoki and Kaoru Sezaki},

doi = {10.1109/ICC.2014.6883988},

issn = {1938-1883},

year  = {2014},

date = {2014-06-01},

booktitle = {2014 IEEE International Conference on Communications (ICC)},

pages = {4252-4257},

abstract = {Community sensing is an emerging paradigm that enables the increasing number of mobile device users to share the minute statistics collected by themselves. In particular, this system is expected to be used for medical and public health research studies, as these mobile devices are in close proximity of the users almost at all times. However, since the mobile devices collect users' sensitive information, a number of privacy concerns will hinder the spread of community sensing applications for medical research. Therefore, we require an environment that enables general users to join community mobile sensing. A widely known technique for preserving privacy in mobile sensing is data perturbation, which adds noises on the user side and allows the central server to reconstruct the statistics of the original data. In this paper, we review a critical vulnerability of state-of-the-art perturbation schemes in which a malicious attacker may restore users' sensitive information from the perturbed data through long-term monitoring attacks. To overcome such vulnerability, we propose privacy-preserving community sensing with multidimensional randomized response, in which all sensed data are processed twice. Using our scheme, we are able to collect users' medical information with security. We evaluate how our scheme can preserve privacy while maintaining the data integrity of aggregated information.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{110009902471,

title = {奨励講演 摂動化を用いた多次元データに対するプライバシー保護データマイニング},

author = {青木俊介 and 瀬崎薫},

url = {https://ci.nii.ac.jp/naid/110009902471/},

issn = {0913-5685},

year  = {2014},

date = {2014-05-01},

booktitle = {電子情報通信学会技術研究報告 = IEICE technical report : 信学技報},

volume = {114},

number = {65},

pages = {143-147},

publisher = {一般社団法人電子情報通信学会},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{sakamoto2014_hpb,

title = {参加型センシングにおけるカバレッジと質を考慮したノード選択手法の検討},

author = {坂本敬太 and 青木俊介 and 伊藤昌毅 and 瀬崎薫},

year  = {2014},

date = {2014-02-01},

booktitle = {電子情報通信学会 ヒューマンプローブ研究会(HPB)},

publisher = {電子情報通信学会},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{10.1145/2638728.2641670,

title = {Beyond Horizontal Location Context: Measuring Elevation Using Smartphone’s Barometer},

author = {Guangwen Liu and Masayuki Iwai and Yoshito Tobe and Dunstan Matekenya and Khan Muhammad Asif Hossain and Masaki Ito and Kaoru Sezaki},

url = {https://doi.org/10.1145/2638728.2641670},

doi = {10.1145/2638728.2641670},

isbn = {9781450330473},

year  = {2014},

date = {2014-01-01},

booktitle = {Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication},

pages = {459–468},

publisher = {Association for Computing Machinery},

address = {Seattle, Washington},

series = {UbiComp ’14 Adjunct},

keywords = {altitude, barometer, elevation measurement, floor localization, Smartphone sensors},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{10.1145/2582051.2582078,

title = {Carrier Pigeon-like Sensing System: Animal-Computer Interface Design for Opportunistic Data Exchange Interaction for a Wildlife Monitoring Application},

author = {Keijiro Nakagawa and Hiroki Kobayashi and Kaoru Sezaki},

url = {https://doi.org/10.1145/2582051.2582078},

doi = {10.1145/2582051.2582078},

isbn = {9781450327619},

year  = {2014},

date = {2014-01-01},

booktitle = {Proceedings of the 5th Augmented Human International Conference},

publisher = {Association for Computing Machinery},

address = {Kobe, Japan},

series = {AH ’14},

keywords = {animal behaviour, delay-tolerant networking, human-computer-biosphere interaction (HCBI), monitoring},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{6799081,

title = {DECL: A circular inference method for indoor pedestrian localization using phone inertial sensors},

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

doi = {10.1109/ICMU.2014.6799081},

year  = {2014},

date = {2014-01-01},

booktitle = {2014 Seventh International Conference on Mobile Computing and Ubiquitous Networking (ICMU)},

pages = {117-122},

abstract = {Pedestrian dead reckoning plays an important role in indoor pedestrian localization applications. Although this approach has a notable advantage that no extra infrastructure is required, it also suffers an issue known as the drift, which means the estimation errors accumulate and ultimately may make the result unreliable. In this paper, we propose a circular inference method applying online learning in order to reduce such drift errors. Map information is used as prior knowledge and identified land marks are used as triggers for learning processing. A multidimensional optimization algorithm is designed and used in learning phase to efficiently tune the estimation parameters. On the basis of the design we implement an end system running on smartphones and use it in the evaluation experiments. The results show that the proposed method can effectively improve the accuracy and reliability of the localization system.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{kida2013_hcg,

title = {リーセンシー効果を用いた適応型屋外広告配信のための興味センシング},

author = {木田裕一朗 and 奥野淳也 and 青木俊介 and 小林博樹 and 岩井将行 and 瀬崎薫 },

year  = {2013},

date = {2013-12-01},

booktitle = {ヒューマンコミュニケーショングループ(HCG2013)シンポジウム},

publisher = {電子情報通信学会},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{110009886707,

title = {携帯端末を用いたTVコンテンツ推定によるユーザの興味センシング},

author = {木田裕一朗 and 奥野淳也 and 青木俊介 and 瀬崎薫},

url = {https://ci.nii.ac.jp/naid/110009886707/},

issn = {0913-5685},

year  = {2013},

date = {2013-11-01},

booktitle = {電子情報通信学会技術研究報告 = IEICE technical report : 信学技報},

volume = {113},

number = {304},

pages = {17-22},

publisher = {一般社団法人電子情報通信学会},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{6673417,

title = {REPSense: On-line sensor data reduction while preserving data diversity for mobile sensing},

author = {G Liu and M Iwai and Y Tobe and K Sezaki},

doi = {10.1109/WiMOB.2013.6673417},

issn = {2160-4894},

year  = {2013},

date = {2013-10-01},

booktitle = {2013 IEEE 9th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)},

pages = {584-591},

abstract = {Pervasive smartphones that embed a variety of sensors enable us to sense and learn about the physical environment around us, even the society we live in. However, the sheer volume of data collected through participatory sensing can deeply hamper the performance of various applications (e.g., data processing time and transmitting cost). In this paper, we proposed a method to reduce the volume of sensor data while preserving the information content of the original data. Our proposed method REPresentative Sense (REPSense) borrows the idea from electoral system. Hence, after data reduction, output data (target) can represent the original data (source) as parliament members are elected to delegate their constituencies. This method can compress multi-dimensional data with arbitrary distribution. We evaluated our method using real-world datasets collected by 12 users over a period of 4 months. The results show that our method outperforms state-of-the-art by comparing baseline methods in terms of data divergence and data processing performance.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{6693323,

title = {Multi-tweet Summarization of Real-Time Events},

author = {M A H Khan and D Bollegala and G Liu and K Sezaki},

doi = {10.1109/SocialCom.2013.26},

year  = {2013},

date = {2013-09-01},

booktitle = {2013 International Conference on Social Computing},

pages = {128-133},

abstract = {Popular real-time public events often cause upsurge of traffic in Twitter while the event is taking place. These posts range from real-time update of the event's occurrences highlights of important moments thus far, personal comments and so on. A large user group has evolved who seeks these live updates to get a brief summary of the important moments of the event so far. However, major social search engines including Twitter still present the tweets satisfying the Boolean query in reverse chronological order, resulting in thousands of low quality matches agglomerated in a prosaic manner. To get an overview of the happenings of the event, a user is forced to read scores of uninformative tweets causing frustration. In this paper, we propose a method for multi-tweet summarization of an event. It allows the search users to quickly get an overview about the important moments of the event. We have proposed a graph-based retrieval algorithm that identifies tweets with popular discussion points among the set of tweets returned by Twitter search engine in response to a query comprising the event related keywords. To ensure maximum coverage of topical diversity, we perform topical clustering of the tweets before applying the retrieval algorithm. Evaluation performed by summarizing the important moments of a real-world event revealed that the proposed method could summarize the proceeding of different segments of the event with up to 81.6% precision and up to 80% recall.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{aoki2013,

title = {スマートフォン搭載のGPSとマイクを用いた都市圏における野鳥観察手法の提案},

author = {青木俊介 and 小林博樹 and 近藤紀子 and 塚原直樹 and 瀬崎薫},

year  = {2013},

date = {2013-09-01},

booktitle = {日本鳥学会2013年度大会},

publisher = {日本鳥学会},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{weko_97166_1,

title = {ユーザ参加型都市環境センシングとその課題},

author = {瀬崎薫},

year  = {2013},

date = {2013-07-01},

booktitle = {マルチメディア、分散協調とモバイルシンポジウム2013論文集},

volume = {2013},

pages = {238--239},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{weko_97168_1,

title = {モバイル端末を用いたユーザ参加型環境センシングにおける誤計測地点の検知・修正手法},

author = {重田航平 and 青木俊介 and 劉広文 and 岩井将行 and 瀬崎薫},

year  = {2013},

date = {2013-07-01},

booktitle = {マルチメディア、分散協調とモバイルシンポジウム2013論文集},

volume = {2013},

pages = {249--256},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{weko_97418_1,

title = {ユーザ参加型環境センシングにおける効率的なシステム運用モデルの構築とユーザ分析},

author = {青木俊介 and 劉広大 and 清水和人 and 岩井将行 and 瀬崎薫},

year  = {2013},

date = {2013-07-01},

booktitle = {マルチメディア、分散協調とモバイルシンポジウム2013論文集},

volume = {2013},

pages = {2008--2013},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{6605777,

title = {Privacy-Aware Community Sensing Using Randomized Response},

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

doi = {10.1109/COMPSACW.2013.54},

year  = {2013},

date = {2013-07-01},

booktitle = {2013 IEEE 37th Annual Computer Software and Applications Conference Workshops},

pages = {127-132},

abstract = {Community sensing is an emerging system which allows the increasing number of mobile phone users to share effectively minute statistical information collected by themselves. This system relies on participants' active contribution including intentional input data through mobile phone's applications, e.g. Facebook, Twitter and Linkdin. However, a number of privacy concerns will hinder the spread of community sensing applications. It is difficult for resource-constrained mobile phones to rely on complicated encryption scheme. We should prepare a privacy-preserving community sensing scheme with less computational-complexity. Moreover, an environment that is reassuring for participants to conduct community sensing is strongly required because the quality of the statistical data is depending on general users' active contribution. In this article, we suggest a privacy-preserving community sensing scheme for human-centric data such as profile information by using the combination of negative surveys and randomized response techniques. By using our method described in this paper, the server can reconstruct the probability distributions of the original distributions of sensed values without violating the privacy of users. Especially, we can protect sensitive information from malicious tracking attacks. We evaluated how this scheme can preserve the privacy while keeping the integrity of aggregated information.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{weko_92061_1,

title = {プライバシー保護に配慮したユーザの地理的分布推計手法},

author = {皆川昇子 and 青木俊介 and 中澤仁 and 徳田英幸},

url = {https://ci.nii.ac.jp/naid/110009771445},

issn = {0913-5685},

year  = {2013},

date = {2013-05-01},

booktitle = {電子情報通信学会技術研究報告 = IEICE technical report : 信学技報},

volume = {113},

number = {38},

pages = {55--60},

publisher = {一般社団法人電子情報通信学会},

abstract = {近年,スマートフォンやタブレット等の小型のモバイル機器が普及している.これらは多くの人が肌身離さず持ち歩き,仕事や生活の必需品となっている.そのため,良好な無線環境の発展とも相まり,ユーザの位置情報は様々なアプリケーションに役立ち,従来の応用やサービスに対して新たな付加価値を創造する可能性がある.一方,特定の時刻におけるユーザの正確な位置情報の漏洩は,ストーカーや犯罪に巻き込まれる等の危険性もあり,その取り扱い方次第ではプライバシーを侵害する恐れが生じる.この問題を解決するために,本稿ではユーザの地理的分布推計への適用を想定し,プライバシー保護手法の提案と評価を行う.その結果,先行研究と比較して,位置データに対するプライバシーレベルを持続させたまま,データの正確性の精度を向上できることを示す.また,アプリケーションへの汎用性やユーザのモビリティの観点から今後の展望を述べる.



Recently, devices such as mobile phones and tablets are widespread. Therefore, location-based applications are gathering attentions of people. On the other hand, using location information obtained by the mobile device is likely to violate the privacy of the user. In order to solve this problem, we propose and implement a privacy preserving method which is applied to applications of user's geographical distribution. Compared to previous researches, our approach improved the accuracy of location data while keeping the privacy level. In addition, we discuss our future works in terms of general versatility and user mobility.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{110009928262c,

title = {既知データ分布に対する個人情報保護を考慮したユーザ参加型センシングに関する検討},

author = {青木俊介 and 岩井将行 and 瀬崎薫},

year  = {2013},

date = {2013-03-01},

booktitle = {ライフインテリジェンスとオフィス情報システム研究会},

volume = {112},

number = {446},

pages = {83-88},

publisher = {一般社団法人電子情報通信学会},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}