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Feasibility Study of Magnetism-based Indoor Positioning Methods in an Incineration Plant
Get PDFIn an incineration plant, remote operation from a centralized control room is now possible, but inspection and cleaning of equipment still require a worker to visit the site. When the plant owner reduces the number of workers due to operation costs, it will be standard for a single worker to visit the site. Therefore, it is necessary to monitor the location of workers in real-time to detect unexpected human accidents quickly. Conventional methods use radio waves, such as Wi-Fi and Bluetooth, but there is little demand for communication equipment in the incineration plant. However, there is not enough demand for communication facilities in the incineration plant. It is too large to bear the cost of installing wireless access points, and Bluetooth Low Energy (BLE) beacons just for positioning. Therefore, we are focusing on magnetism using for indoor positioning method. In addition, the incineration plant has a lot of types of equipment that contains a wide range of magnetized metals, large motors, and generators. We could observe the magnetic peculiarity at each point. Based on these assumptions, we have developed a new indoor positioning method at the incineration plant. This paper describes the development of an indoor positioning system for an incineration plant. And we propose three methods for fingerprinting matching: Point matching, Path matching, and DTW matching. The average positioning errors of these methods are 6.89 m, 0.05 m, and 0.06 m, respectively.conference pape
Multimodal Prediction of Social Responsiveness Score with BERT-Based Text Features
No full textSocial Skills Training (SST) has been used for years to improve individuals' social skills toward building a better daily life. In SST carried out by humans, the social skills level is usually evaluated through a verbal interview conducted by the trainer. Although this evaluation is based on psychiatric knowledge and professional experience, its quality depends on the trainer's capabilities. Therefore, to standardize such evaluations, quantifiable metrics are required. To meet this need, the second edition of the Social Responsiveness Scale (SRS-2) offers a viable solution because it has been extensively tested and standardized by empirical research works. This paper describes the development of an automated method to evaluate a person's social skills level based on SRS-2. We use multimodal features, including BERT-based features, and perform score estimation with a 0.76 Pearson correlation coefficient while using feature selection. In addition, we examine the linguistic aspects of BERT-based features through subjective evaluations. Consequently, the BERT-based features show a strong negative correlation with human subjective scores of fluency, appropriate word choice, and understandable speech structure.journal articl
The Acceptability of Virtual Characters as Social Skills Trainers: Usability Study
No full textBackground:Social skills training by human trainers is a well-established method to provide appropriate social interaction skills and strengthen social self-efficacy. In our previous work, we attempted to automate social skills training by developing a virtual agent that taught social skills through interaction. Previous research has not investigated the visual design of virtual agents for social skills training. Thus, we investigated the effect of virtual agent visual design on automated social skills training.Objective:The 3 main purposes of this research were to investigate the effect of virtual agent appearance on automated social skills training, the relationship between acceptability and other measures (eg, likeability, realism, and familiarity), and the relationship between likeability and individual user characteristics (eg, gender, age, and autistic traits).Methods:We prepared images and videos of a virtual agent, and 1218 crowdsourced workers rated the virtual agents through a questionnaire. In designing personalized virtual agents, we investigated the acceptability, likeability, and other impressions of the virtual agents and their relationship to individual characteristics.Results:We found that there were differences between the virtual agents in all measures (P<.001). A female anime-type virtual agent was rated as the most likeable. We also confirmed that participants’ gender, age, and autistic traits were related to their ratings.Conclusions:We confirmed the effect of virtual agent design on automated social skills training. Our findings are important in designing the appearance of an agent for use in personalized automated social skills training.journal articl
ニホンゴ チクジ オンセイ ゴウセイ ニ オケル ゴウセイ タンイ
No full text同時音声通訳システムは，話者の発話中に翻訳を行い音声を生成する．その実現のために，文より短いテキストから，音声を生成する逐次音声合成が必要である．本論文は，同時音声通訳システムの実現を目指して，日本語における逐次音声合成の提案を目的とする．先行研究は，逐次音声合成のために使用する言語特徴を制限し，合成範囲を単語としている．しかし，日本語音声合成は，アクセント句と呼ばれる単位が重要であり，単語の逐次音声合成が，音声品質と遅延のトレードオフとして適さない可能性がある．本論文では，日本語逐次音声合成のため，逐次音声合成の言語特徴を提案する．そして，言語特徴の組合せから，遅延と音声品質に最適な合成範囲を決定する．実験結果より，アクセント句から呼気段落の合成範囲が音声の品質を保持するために必要であることを示した．さらに，遅延評価を通して，アクセント句が日本語の逐次音声合成へ適することを示した．A simultaneous speech translation system translates while the speaker speaks and generates speech sequentially. To construct the system, an incremental Text-to-speech (iTTS) system which synthesizes a speech in a shorter synthesis unit is required. This work proposes a Japanese iTTS system for the simultaneous speech translation. Most of the researchers used the word unit as the synthesis unit. However, in Japanese speech synthesis, a unit called an accent phrase is important, and word-by-word synthesis may not be suitable. In this paper, we propose a linguistic feature and synthesis unit for Japanese iTTS. Experimental result shows that accent phrase or breath group are essential for a Japanese iTTS system as a trade-off between quality and synthesis units for the Japanese iTTS. Then, an accent phrase is a more appropriate incremental synthesis unit than a breath group through delay analysis.journal articl
イドウ カンカク セイギョ ノ タメ ノ XR モビリティ プラットフォーム
Get PDF本研究では，自動走行環境内での搭乗者の快適性向上を目的とし，XRモビリティプラットフォームを用いた移動感覚制御の手法を提案する．快適性向上ためには，車両から搭乗者が受ける加速度刺激による移動感覚を少なくすることが重要である．VR分野では，発生していない移動感覚を疑似的に再現するドライビングシミュレータの研究が提案されているが，本研究ではその点と逆に，自動走行車両によって実際に発生している移動感覚を，いかに少なくするかを論点とする．自動運転機能，マルチモーダルVR/AR提示機能，揺動座席機能を有したX Rモビリティプラットフォームを用いて，視覚知覚及び力覚知覚を制御することによって，搭乗者の移動感覚を制御する．３０名の被験者実験を通した移動感覚のアンケート結果から，搭乗者の移動感覚を軽減することができ，従来手法よりも有意差ありという結果を得ることができた．technical repor
実行トレースのマークル木を用いたプログラム変更前後の差分検出法の提案
Get PDFソフトウェア保守において，ソフトウェアはデバッグ，機能追加などの理由により変更が加えられる．開発者は，プログラム変更前後の動作の変化を把握することが重要である．Omniscient Debugging に用いる実行トレースは，プログラムの実行開始から終了までの命令が網羅的に記録されている．実行トレースから詳細な実行系列を把握することができる．一方で，実行トレースは膨大なデータ量となることがあり，ソフトウェア変更前後の実行トレースを直接比較することは困難である．本研究では，修正前後のプログラムに同一の入力を与えて実行した場合に得られる実行トレースに対して，ハッシュ値を用いて実行トレースを要約し，そのハッシュ値を用いた差分検出手法を提案する．また，提案手法の有効性を調べるために，バグ修正に関する公開データセット Defects4j に含まれるアプリケーションに対して適用し，差分を検出できることを確認した．technical repor
Newcomer OSS-Candidates: Characterizing Contributions of Novice Developers to GitHub
No full textThe ability of an Open Source Software (OSS) project to attract, onboard, and retain any newcomer is vital to its livelihood. Although, evidence suggests an upsurge in novice developers joining social coding platforms (such as GitHub), the extent to which their activities result in a OSS contribution is unknown. Henceforth, we execute the protocols of a registered report to study activities of a “Newcomer OSS-Candidate”, who is a novice developer that is new to that social coding platform, and has the intention to later onboard an OSS project. Using GitHub as a case platform, we analyze 171 identified Newcomer OSS-Candidates to characterize their contribution activities. Results show that Newcomer OSS-Candidates are likely to target software based repositories (i.e., 66%), and their first contributions are mainly associated with development (commits) and maintenance (PRs). Newcomer OSS-Candidates are less likely to practice social coding, but eventually end up onboarding (i.e., 30% quantitative, 70% follow-up survey) an OSS project. Furthermore, they cite finding a way to start as the most challenging barrier to contribute. Our work reveals insights on how newcomers to social coding platforms are potential sources of OSS contributions.journal articl
Between Fact and Fabrication: How Visual Art Might Nurture Environmental Consciousness
No full textPrevious studies have highlighted the communicative limitations of artistic visualizations, which are often too conceptual or interpretive to enhance public understanding of (and volition to act upon) scientific climate information. This seems to suggest a need for greater factuality/concreteness in artistic visualization projects, which may indeed be the case. However, in this paper, we synthesize insights from environmental psychology, the psychology of art, and intermediate disciplines like eco-aesthetics, to argue that artworks?defined by their counterfactual qualities?can be effective for stimulating elements of environmental consciousness. We also argue that different artworks may yield different effects depending on how they combine counter/factual strategies. In so doing, we assert that effective artistic perceptualization?here expressed as affectivization?exceeds the faithful translation of facts from one mode to another, and cannot be encapsulated in a single example of un/successful art.journal articl
Stack Overflowのコード片へ加えられた変更に追従しないGitHubプロジェクトの変更パターン分類による考察
Get PDFGitHubプロジェクトに再利用されているStack Overflowのコード片に変更が加えられた場合に再利用側の追従状況や追従の必要性について，その変更内容に対してパターン分類を実施することで考察を行う．journal articl
Eliminating Temporal Illumination Variations in Whisk-broom Hyperspectral Imaging
No full textWe propose a method for eliminating the temporal illumination variations in whisk-broom (point-scan) hyperspectral imaging. Whisk-broom scanning is useful for acquiring a spatial measurement using a pixel-based hyperspectral sensor. However, when it is applied to outdoor cultural heritages, temporal illumination variations become an issue due to the lengthy measurement time. As a result, the incoming illumination spectra vary across the measured image locations because different locations are measured at different times. To overcome this problem, in addition to the standard raster scan, we propose an additional perpendicular scan that traverses the raster scan. We show that this additional scan allows us to infer the illumination variations over the raster scan. Furthermore, the sparse structure in the illumination spectrum is exploited to robustly eliminate these variations. We quantitatively show that a hyperspectral image captured under sunlight is indeed affected by temporal illumination variations, that a Naive mitigation method suffers from severe artifacts, and that the proposed method can robustly eliminate the illumination variations. Finally, we demonstrate the usefulness of the proposed method by capturing historic stained-glass windows of a French cathedral.journal articl