Publication

@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}

}

@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}

}