Faculty Profiles - YOSHIHIRO Takuya

Published Papers - YOSHIHIRO Takuya

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Practical Fast Scheduling and Routing over Slotted CSMA for Wireless Mesh Networks

Takuya Yoshihiro, Taiki Nishimae

2016 IEEE/ACM 24TH INTERNATIONAL SYMPOSIUM ON QUALITY OF SERVICE (IWQOS) ( IEEE ) 1 - 10 2016 [Refereed]

Although Wireless Mesh Networks (WMNs) over CSMA and TDMA MAC have been extensively studied, CSMA still suffers from heavy interference due to hidden terminals, while TDMA has a practical difficulty in accurate time synchronization. Slotted CSMA, in which we assume that CSMA runs within relatively large time-divided slots, could be one of the solutions since it works on loosely synchronized time slots and simultaneously avoids major collision under a properly designed feasible schedule. However, if we apply a schedule generally used in TDMA, there are several inconveniences: First, we need heavy overhead of centralized computation or negotiation among nodes in distributed scheduling. Second, end-to- end packet delivery delay grows large since TDMA requires a large number of slots to achieve collision-free scheduling. In this paper, we propose a new scheduling algorithm for slotted CSMA called CATBS (CSMA-Aware Time-Boundable Scheduling) that requires a smaller number of slots for feasible scheduling, and runs within a bounded time. Incorporating the scheduling, we design a routing protocol that enables flexible paths recomputation with small communication overhead. We consequently achieve a new fully distributed and robust network architecture of WMNs that provides practically high throughput and low delivery delay, which can be implemented on the off-the- shelf IEEE802.11 interfaces.

DOI

Finding an Area with Close Phenotype Values to Predict Proteins That Control Phenotype

FUJIKI Takatoshi, GAKU Empei, YOSHIHIRO Takuya

International Journal of Informatics Society 7 ( 3 ) 115 - 122 2015.12 [Refereed]

Large-scale proteomic analysis of Japanese Black cattle : Part III. Identification of protein biomarker candidates for assessment of carcass traits and meat quality characteristics

Ikegami H, Nagai K, Matsuhashi T, Kobahashi N, Takemoto A, Yoshihiro T, Inoue E, Higuchi C, Morita K, Uchibori S, Amano T, Taguchi Y, Kato H, Iritani A, Matsumoto K

Nihon Chikusan Gakkaiho ( Zootechnical Science Society of Japan ) 86 ( 2 ) 141 - 152 2015.06 [Refereed]

Early assessment of carcass traits and meat quality characteristics during fattening is expected to improve the efficiency of beef cattle production. Yet, there have been few reports on developing an assessment index for feeding condition of Japanese Black cattle. In this study, to identify protein biomarkers for predicting carcass traits and meat quality characteristics of Japanese Black cattle by proteomics, we first compared protein expression profiles of perirenal white adipose tissue between low and high merit steers in five carcass traits (carcass weight, rib eye area, rib thickness, subcutaneous fat thickness, and beef marbling standard [BMS] number). We then investigated the involvement of the lower- or higher-expressed proteins in metabolic pathways and evaluated the expression of vimentin proteins by western blot analysis in individual steers. We identified 45 proteins which were significantly expressed in low or high merit groups of five carcass traits. Coordinate involvement of some identified proteins in glycolysis/gluconeogenesis and citrate cycle pathways was found in high merit groups of carcass weight, subcutaneous fat thickness and BMS number. The expression of vimentin protein, which was significantly expressed in the high BMS number group, was confirmed in individual steers. Taken together, these results suggest the possibility of these identified proteins as protein biomarker candidates for predicting carcass traits and meat quality characteristics during fattening of Japanese Black cattle.

DOI

Large-scale proteomic analysis of Japanese Black cattle: Part III. Identification of protein biomarker candidates for assessment of carcass traits and meat quality characteristics

IKEGAMI HARUKA, NAGAI KOHEI, MATSUHASHI TAMAKO, KOBAYASHI NAOHIKO, TAKEMOTO ATSUSHI, YOSHIHIRO TAKUYA, INOUE ETSUKO, HIGUCHI CHIKA, MORITA KOTARO, UCHIBORI SHO, AMANO TOMOKO, TAGUCHI YOSHITOMO, KATO HIROMI, IRITANI AKIRA, MATSUMOTO KAZUYA

日本畜産学会報 ( Zootechnical Science Society of Japan ) 86 ( 2 ) 141 - 152 2015.05 [Refereed]

DOI

Combining local channel selection with routing metrics in multi-channelwireless mesh networks

Hiromichi Kanaoka, Takuya Yoshihiro

Journal of Information Processing ( Information Processing Society of Japan ) 23 ( 2 ) 221 - 228 2015 [Refereed]

WMNs (Wireless Mesh Networks) using IEEE 802.11 have been deeply studied to extend the area of coverage of the Internet. A typical approach to implement this kind of WMNs is to use dynamic metrics (e.g., ETX) over link-state routing protocols (e.g., OLSR). Although studies have demonstrated clarified that the approach performs well, there is still room for improve. In this paper, we first point out that the dynamic metrics by nature cannot pursuit rapid change in link quality, which prevents routing protocols to choose the best forwarding paths at every moment. To complement this drawback of the dynamic metric, we propose a local switching mechanism of forwarding channels for multi-radio, multi-channelWMNs, which works in combination with dynamic metrics. Our evaluation showed that the proposed method improves throughput and stability of communications when it works with dynamic metrics.

DOI

A System to Help Creation of Original Recipes by Recommending Additional Materials and Reference Recipes

TANAKA Mana, INOUE Etsuko, YOSHIHIRO Takuya

International Journal of Informatics Society 6 ( 1 ) 2014.06 [Refereed]

A System to Support Education of Basic Social Customs for Lower-grade Schoolchildren

橋渡亮太, 吉廣卓哉, 井上悦子, 中川優

情報処理学会論文誌 55 ( 1 ) 34 - 44 2014.01

本研究では，小学校低学年を対象に自発的に取り組ませることにより，社会生活で必要な基本的な生活習慣の習慣付けを支援する情報システムを構築する．従来，小学校教員は，児童に基本的な生活習慣を定着させるために，毎日の達成目標を設定し，目標の達成状況に合わせてシールを貼る，あるいは達成状況を紙に書いて壁に貼り出すことで他の児童と比較できるようにする，等の方法で，その教育を行ってきた．しかし，この方法は，小学校教員に多大な労力を強いるため，その労力の低減が求められる．本研究では，情報システムを用いることで，教員に労力をかけることなく，児童に自発的に生活習慣への取り組ませる動機付けを行うシステムを設計・構築した．また，構築したシステムを実際に教育現場で運用することで評価実験を行った．その結果，本システムが，児童が意識的に基本的な生活習慣を習慣付けるための動機付けになっていることが確認された．本論文ではこれらの試みについて報告すると同時に，本システムを実運用することで明らかになった課題や考慮すべき点について議論を行う．In this study, we developed a system to support education for lower-grade schoolchildren to make them obtain basic social customs. School teachers traditionally educate these customs by various methods, e.g., by using stamps according to the achievement level of everyday goal, or by displaying a large sheet to compare the achievement level with themselves. However, these method requires considerable labour of school teachers. We designed a system in which schoolchildren are given their own daily goals and input their achievement results everyday to motivate them to do for it by themselves. We conducted an evaluation experiment by operating the system in a primary school education. As a result, we confirmed that the system motivates schoolchildren to achieve their own daily goals. In this paper, we report our attempt for computer support in the field of lower-grade basic education and discuss the problems and the difficulties that are derived through our experiences.

Learning Bayesian Networks Using Probability Vectors

Sho Fukuda, Takuya Yoshihiro

DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE, 11TH INTERNATIONAL CONFERENCE ( SPRINGER-VERLAG BERLIN ) 290 503 - 510 2014 [Refereed]

Bayesian networks are regarded as one of the essential tools to analyze causal relationship between events from data. To learn the structure of good Bayesian networks from data as quickly as possible is one of the important problems that several studies have been tried to achieve. In this paper, we propose a new algorithm to learn Bayesian network structure based on a genetic algorithm that evolves probability vectors. Through performance evaluation, we found that this probability-based approach is effective to learn better Bayesian network structure with less time.

DOI

Combining Local Channel Selection with Routing Metrics in Multi-channel Wireless Mesh Networks

Hiromichi Kanaoka, Takuya Yoshihiro

2014 SEVENTH INTERNATIONAL CONFERENCE ON MOBILE COMPUTING AND UBIQUITOUS NETWORKING (ICMU) ( IEEE ) 70 - 71 2014 [Refereed]

DOI

Reactive load balancing during failure state in IP fast reroute schemes

Kazuki Imura, Takuya Yoshihiro

Journal of Information Processing ( Information Processing Society of Japan ) 22 ( 3 ) 527 - 535 2014 [Refereed]

To improve reliability of IP networks against link/node failure, several IP fast reroute schemes have been proposed so far. They proactively compute backup paths and activate them when failure occurs to prevent packets from losing at the failure link/node. However, it is known that network performance considerably degrades in the failure state of IP fast reroute schemes, because congestion hot spots often appear near the failure link/node. In this paper, we propose a reactive load balancing method that can be applied to the major IP fast reroute schemes that covers single failure. Our scheme works when an IP fast reroute scheme is activating its backup paths, and reduces the degradation of network performance due to failure. In our load balancing scheme, with the overhead of a few bit field on packet header, we can largely reduce the performance degradation in the failure state and mostly keep the throughput as it was in the normal state where no failure exists. © 2014 Information Processing Society of Japan.

DOI

A Probability-based Evolutionary Algorithm with Mutations to Learn Bayesian Networks.

Sho Fukuda, Yuuma Yamanaka, Takuya Yoshihiro

IJIMAI 3 ( 1 ) 7 - 13 2014 [Refereed]

DOI

Adaptive load balancing based on IP fast reroute to avoid congestion hot-spots

Masaki Hara, Takuya Yoshihiro

Journal of Information Processing ( Information Processing Society of Japan ) 22 ( 2 ) 97 - 105 2014 [Refereed]

Several load balancing techniques for IP routing scheme have appeared in the literature. However, they require optimization process to compute optimal paths to meet traffic demand so that it requires a mechanism to measure traffic demand and to share them among all routes in order to follow dynamics of traffic. It naturally results in communication overhead and losing sensitivity to follow traffic dynamics. In this paper, we investigate a load balancing mechanism from another approach, i.e., based on IP fast reroute mechanisms. The main idea is simply to forward packets into detour paths supplied by IP fast reroute mechanisms only when packets meet congestion. This strategy enables us to use vacant resources adaptively as soon as they are required to avoid and dissolve the congestion. Through traffic simulation we show that IP fast reroute based load balancing mechanisms improve the capacity of networks. © 2014 Information Processing Society of Japan.

DOI

Large-scale proteomic analysis of Japanese Black cattle : Part II. Assessment of gender and genetic background effects

IKEGAMI Haruka, KOBAYASHI Naohiko, MATSUHASHI Tamako, TAKEMOTO Atsushi, YOSHIHIRO Takuya, INOUE Etsuko, KATO Rie, KATO Hiromi, TAGUCHI Yoshitomo, AMANO Tomoko, MORIMOTO Koichi, NAKAGAWA Masaru, IRITANI Akira, MATSUMOTO Kazuya

日本畜産學會報 = The Japanese journal of zootechnical science 83 ( 3 ) 281 - 290 2012.08

黒毛和種肥育牛の枝肉形質バイオマーカーの探索(2)

池上春香, 小林直彦, 松橋珠子, 武本淳史, 吉廣卓哉, 井上悦子, 加藤里恵, 加藤博己, 田口善智, 天野朋子, 森本, 康一, 中川, 優#入谷, 明#松本和也

日本畜産學會報 = The Japanese journal of zootechnical science ( Zootechnical Science Society of Japan ) 83 ( 3 ) 281 - 290 2012.08

黒毛和種肥育牛の枝肉形質を診断するバイオマーカータンパク質同定を目的に構築した統合情報管理システムに,腎周囲白色脂肪組織のプロテオーム解析情報を搭載し,タンパク質発現に及ぼす性差と血統の影響を調べた。システム内の枝肉形質情報データベースには,黒毛和種肥育牛10,789頭の個体情報,血統情報,および枝肉形質情報が登録されている。このうち252頭を選択して腎周囲白色脂肪組織のプロテオーム解析情報を獲得し,同システム内に登録した。まず,去勢牛と雌牛群間でタンパク質発現量を比較したところ,タンパク質スポット879個のうち56個(6.4%)でその発現量に性差が認められた。次に,種雄牛4頭を一代祖に持つ去勢牛の個体群間でタンパク質発現量を比較した結果,発現量に差が見られたタンパク質スポットの割合は低く,プロテオーム解析情報を検討する場合に種雄牛の遺伝的背景を必ずしも考慮する必要はないと判断された。

One-click Peer-encouragement Mechanisms for Web-based Health Promotion System to Prevent Metabolic Syndrome

YOSHIHIRO Takuya, FUJIWARA Takuya, ENOUE Etsuko, TABE Hiroko, NAKAGAWA Masaru

International Journal of Informatics Society 3 ( 2 ) 47 - 55 2012.06 [Refereed]

A Routing Metric towards Reliable Communication in Mobile Ad-hoc Networks

FUJI Katsuya, YOSHIHIRO Takuya

International Journal of Informatics Society 4 ( 1 ) 2012.06 [Refereed]

Predicting three-way interactions of proteins from expression profiles based on correlation coefficient

Etsuko Inoue, Sho Murakami, Takatoshi Fujiki, Takuya Yoshihiro, Atsushi Takemoto, Haruka Ikegami, Kazuya Matsumoto, Masaru Nakagawa

IPSJ Transactions on Bioinformatics 5 34 - 43 2012 [Refereed]

In this study, we propose a new method to predict three-way interactions among proteins based on correlation coefficient of protein expression profiles. Although three-way interactions have not been studied well, this kind of interactions are important to understand the system of life. Previous studies reported the three-way interactions that based on switching mechanisms, in which a property or an expression level of a protein switches the mechanism of interactions between other two proteins. In this paper, we proposed a new method to predict three-way interactions based on the model in which A and B work together to effect on the expression level of C. We present the algorithm to predict the combinations of three proteins that have the three-way interaction, and evaluate it using our real proteome data.

DOI

Single Node Protection without Bouncing in IP Networks

Takuya Yoshihiro, Masahiro Jibiki

2012 IEEE 13TH INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE SWITCHING AND ROUTING (HPSR) ( IEEE ) 88 - 95 2012 [Refereed]

Several approaches for IP fast rerouting have been proposed to augment resiliency of IP networks. For example, NotVia uses IP tunnels to avoid failure component, and FIFR prepares two routing tables to switch packets according to incoming interfaces. In this paper, for two-table approach such as FIFR, we propose to use 2-bit marking on packet header to overcome one of the problems called route bouncing. By preventing route bouncing, more efficient use of network resources are possible. We further show that our method not only prevents route bouncing but also prevents packet loops in case of multiple failure. Note that, although multiple failure occurs with low probability, once it occurs network performance significantly degrades since size of loops is far larger than microloops.

DOI

An efficient algorithm to predict three-way interaction of proteins from expression data based on conditional probability

Takatoshi Fujiki, Etsuko Inoue, Takuya Yoshihiro, Masaru Nakagawa

Frontiers in Artificial Intelligence and Applications ( IOS Press ) 243 1867 - 1876 2012 [Refereed]

It is important to predict interaction among proteins to understand the system of life. We have proposed a method to predict threeway interactions among proteins from expression data based on conditional probability in our previous study. However, the proposed method has a problem of significant computational time, because it requires computation of a probability distribution as a preprocess of the algorithm. In this study, we propose a method to significantly reduce the computational time by computing the probability distribution with analytical approach, instead of simulation approach used in our previous study. We evaluated the computational time and accuracy of the proposed analytical computation method. © 2012 The authors and IOS Press. All rights reserved.

DOI

Large-scale proteomic analysis of Japanese Black cattle:Part II. Assessment of gender and genetic background effects

IKEGAMI Haruka, AMANO Tomoko, MORIMOTO Koichi, NAKAGAWA Masaru, IRITANI Akira, MATSUMOTO Kazuya, KOBAYASHI Naohiko, MATSUHASHI Tamako, TAKEMOTO Atsushi, YOSHIHIRO Takuya, INOUE Etsuko, KATO Rie, KATO Hiromi, TAGUCHI Yoshitomo

Nihon Chikusan Gakkaiho ( 公益社団法人日本畜産学会 ) 83 ( 3 ) 281 - 290 2012

Identification of protein biomarkers for assessment of meat quality during fattening of Japanese black beef cattle would improve the efficiency of a livestock production system. We have already constructed an integrated database system of Japanese Black cattle, where in the data include 43 items on 10,789 cattle (consisting mainly of carcass trait, sex, bloodlines etc.), and expression data and identification of protein spots by using two-dimensional gel electrophoresis and mass spectrometry, in order to determine the protein biomarkers. In this study, proteomic analysis on perirenal white adipose tissues of 252 randomly selected cattle was carried out and addressed the effects of gender and genetic background on the proteomic data. It was observed that 56 spots of proteins between steers and heifers were over- or under-represented (6.4 % of 879 spots), while only a few proteins (1.3-2.4%) were differentially expressed between two steer groups from four major sires. These results indicate that separation according to gender is necessary for selecting samples for proteome analysis but it is less necessary to classify different sire breeds.

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Published Papers - YOSHIHIRO Takuya