主に医療機関や福祉施設での需要から，トイレでの排尿量計測と管理に向けた研究が行われている．我々はこれまでに簡便で衛生的な尿量計測手法として画像処理を用いた液体流量推定を提案してきた．この手法では画像中の放射流脈線を放物線近似し，その放射初速度を導出することで多重円柱モデルによって体積を求める．このような画像処理を行うとなると導入ハードルが高いように思われるが，実際にはRaspberry Piのような安価なシングルボードコンピュータと汎用の画像処理ライブラリでも十分に実用的な計測精度を得ることができる．本研究ではRaspberry Piでの実装について紹介し，安価なカメラシステムでの誤差要因を特定することで精度向上が可能な画像処理アルゴリズムを解説する．

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3次元で物体を認識することは，より人間に近いロボットを開発する上で重要な技術である。筆者らはこれまでに3DカメラであるXtionと，3次元モデルを作成することができるフリーのソフトウェアであるKinfuとを用いて安価で高精度な物体認識システムの開発を行ってきた。今回，3Dカメラを小型移動ロボットへ搭載するために，カメラ撮影部分はマイコンであるRaspberry Piで，GPUでの重い計算が必要となるKinfu部分はデスクトップPCで処理を行う，分散型システムを開発した。分散化にはRobot Operating System (ROS)を用いた。

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The embedded module of the popular Raspberry-pi system has facilitated the implementation of analyzer for tapping noise, transmitting a series of resultant index by wireless in realtime.Nowadays in Japan by the amendment of the law concerned, the hammering test with artificial intelligence has come into limelight again because the simple as well as economical time-based-maintenance should be carried out to prevent the lifted surfaces of numerous used-buildings over one decade from an even more serious falling-accident. The test belongs to resonance or reverberation recognition, which is caused by the degradation of an adhesive agent over time. Because both amplitude and frequency are varied in response to impact energy, we have proposed a robust index of the magnitude for resonance in the temporal domain, named half-life time ratio, H, which is further ascertained by phase error of the fourth physical quantity based on auditory cognitive processing in the brain. Only a dozen or so trials of tapping for a mere few seconds enable to display the histogram of resonance signals against spectral channel, accelerating the progress of automatic hammering test even without an established knowledge-base.

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In order to improve the quality of life of the elderly or persons who lost their own limb due to an accident or sickness, many power-assist robots and myoelectric artificial limbs have been proposed. Many of these robots are controlled based on biological signals. Specifically, an EMG signal is one of the widely used biological signal for the control of those robots. On the other hand, there are many small devices such as a microcontroller or the small size PC. In this paper, we try to estimate the motion of the upper-limb based on EMG signals by Raspberry Pi.

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We have build a micromouse type robot that has one Raspberry Pi, which is a single board computer. Since several major operating systems work on the computer, we can use various kinds of open source for this micromouse. This property contributes to robotics research and education based on recent open source movement. On the other hand, it should overcome the problem of interruption. We choose a structure that prevents running time of actuators becoming derailed by interruptions.

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This paper describes a tabletop mobile robot system controlled by Raspberry Pi micro controller. The robot system is self-contained and simplified for a demonstration system. The system has a highly reliability and reproducibility for construction of the prototype robot system. We show the feasibility of system through the implementation of prototype and the examples of RT system and tools.

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It is effective for students to learn from the experience applying the actual robotic control equipment for the robot control education. The robotic control equipment for education needs several capabilities as; high-performance but low-cost; universal programming environment which can be used by the users both beginners and practicians; connectable to various and a lot of functional devices such as sensors and actuators; the operation system which can ensure real-time control performance. We thus propose a control system which meets the requirements applying the single board computer Raspberry Pi2 and Arduino UNO. In this paper we describe the concept and show the effectiveness by some evaluation experiments.

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This paper describes the “2016 KOSEN Space Camp,” which is a introductory education program on space technology for students enrolled at the various KOSEN colleges of technology in Japan. The camp was conducted twice, the first time on September 3–6, 2015 and the second time on September 1–4, 2016 at the Marine Park Niihama. Approximately 40 students and more than 10 teachers participated in the camp on each of the two occasions when it was held. The activities in the camp included a lecture by an eminent scientist; the study of basic rocket theory; model rocket experiments; and the development, analysis, and presentation of CanSat satellite model experiments. This unique education program provided by aerospace scientists and engineers is a KOSEN concept and product.

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本稿は，IoT（Internet of Things）のプラットフォームの一つとしても注目されていRaspberry Piを用いた，イベント駆動形の制御システム開発の予備的検討について取り扱ったものである。Raspberry Piが搭載されたデバイスが，周囲の環境（イベント）に応じて動作を変える，イベント駆動形の制御システムの実現を目指している。今回は，搭載のカメラが捉えるイベントとして，数字認識を取り扱い，その認識結果に応じて駆動システムの動作を変化させるシステムの開発を試みた。

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A low-cost, standalone electrochemical instrument was built from a credit card-sized computer and inexpensive A/D and D/A converter chips. The instrument is capable of cyclic voltammetry and constant potential electrolysis, with the potential range of –4 to +4 V and the current range of 1 μA to 20 mA.

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These days, no one can live without electricity and the power company must deliver the electricity both safely and continuously. In addition, power electronics technologies are adopted in many electric machines. With using the technologies, one can easily control the industrial electric machinery including the consumer electronics like televisions, is looking forward to saving energy, and can contribute to solving environmental problems. However, they have a point at issue that will generate the higher harmonics and give serious damages to the stationary devices, including the transformers and the capacitors for improvement of power factor, over the power delivery systems. Then, it is necessary to develop the system, which measures the power factor and harmonics and analyzes them. In this paper, the authors developed an analyzer for measuring power factor and harmonics in the power delivery system using a low cost single-board computer. Experiments have been carried out using the proposed system, and it is confirmed that the proposed analyzer has effectiveness.

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This paper describes a component-based tabletop robot system controlled by a self-contained micro controller. The system has reliability and reproducibility for construction of the prototype system. The implementation of example RT systems and tools shows feasibility of the proposed system.

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次期学習指導要領の改訂において，「理数探究」の新設が予定されており，ICT 機器の活用の充実化も求められている。本稿では小型コンピュータ Raspberry Pi を用いて，数学的実験や理科的観測を行いながら，どのような学びができるかの検証と考察を行った。プログラムを簡易的に記述できることや，目的や条件に応じて電子工作ができるため，授業での活用が期待できる。今後は，Raspberry Pi を活用して観察したデータを蓄積し，数学的に分析することで，理科の現象を理解するような教材の開発を目指している。

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In this report, we propose an inexpensive and handy system in which the direction of sight line of human is recognized under the construction of Raspberry Pi, open source hardware with embedded Linux, and proprietary camera module. For the differentiation of sight line of human, face, inner corner of the eye, pupil are detected from the image of the front face first, and the distance between human and camera and the direction of sight line is estimated from the analysis of them. When comparing the performance of the differentiation of the sight line in the proposed system with that in the general circumstance with personal computer, the results of detection are perfectly matched. In addition, it is confirmed that the differentiation of sight line can be done accurately within the distance of 1.0m between human and camera.

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ユビキタス環境制御システム（UECS）の通信実用規約1.00-E10（実用規約）に対応し，シングルボードコンピュータRaspberry Piで動作するオープンプラットホーム「UECS-Pi（ウエックスパイ）」を開発した．栽培施設等で利用される汎用的な計測・制御機能があらかじめ実装された基本パッケージを利用すれば，短期間でノードを製作可能である．さらに，オープンソースのソフトウェア開発キット（SDK）を用意し，ユーザ独自の機能を追加可能にした．UECS-Piを用いて外気象計測ノードと複合制御ノードを製作し，トマト温室にて3ヶ月間の実証試験を行った．本試験ではノードの製作期間，コスト，可用性，ソフトウェアの有用性を評価した．評価の結果，低コストで実用可能なUECSノードを製作可能であることが示された．本プラットホームによって，特定メーカに依存しない低コストUECS対応トータルシステムを構築可能となった．

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