DESIGNING AN EXTENDED REALITY MOBILE GUIDE APPLICATION TO COMMUNICATE AND INTERPRET SERIAL WORLD HERITAGE SITES: A CASE STUDY OF KOREA’S SEOWON UNESCO WORLD HERITAGE SITE

Extended reality (XR) mobile guide applications offer unprecedented potential for immersive visitor experiences and in-depth knowledge retention to promote cultural learning at large-scale heritage sites, but, despite their significant development, the literature underexplores these applications for World Heritage sites, especially the serial properties that are spatially dispersed in various locations but configured as a single property. This paper describes a framework (blueprint) for the development of an XR mobile guide application focused on serial properties. By incorporating interactive XR and edutainment features, it explores a way to comprehensively reveal the interconnections between the heritage attributes of the subcomponent of the serial properties and their larger, cross-cultural context vis-à-vis the Outstanding Universal Values. To this end, at the Seowon, the UNESCO World Heritage site in Korea, we analyzed user interactions with a prototype of the XR application to identify user preferences and areas for improving the framework

Evaluating indoor positioning systems in a shopping mall : the lessons learned from the IPIN 2018 competition

The Indoor Positioning and Indoor Navigation (IPIN) conference holds an annual competition in which indoor localization systems from different research groups worldwide are evaluated empirically. The objective of this competition is to establish a systematic evaluation methodology with rigorous metrics both for real-time (on-site) and post-processing (off-site) situations, in a realistic environment unfamiliar to the prototype developers. For the IPIN 2018 conference, this competition was held on September 22nd, 2018, in Atlantis, a large shopping mall in Nantes (France). Four competition tracks (two on-site and two off-site) were designed. They consisted of several 1 km routes traversing several floors of the mall. Along these paths, 180 points were topographically surveyed with a 10 cm accuracy, to serve as ground truth landmarks, combining theodolite measurements, differential global navigation satellite system (GNSS) and 3D scanner systems. 34 teams effectively competed. The accuracy score corresponds to the third quartile (75th percentile) of an error metric that combines the horizontal positioning error and the floor detection. The best results for the on-site tracks showed an accuracy score of 11.70 m (Track 1) and 5.50 m (Track 2), while the best results for the off-site tracks showed an accuracy score of 0.90 m (Track 3) and 1.30 m (Track 4). These results showed that it is possible to obtain high accuracy indoor positioning solutions in large, realistic environments using wearable light-weight sensors without deploying any beacon. This paper describes the organization work of the tracks, analyzes the methodology used to quantify the results, reviews the lessons learned from the competition and discusses its future

触覚フィードバックを用いた体性感覚の操作

人間が自らの肉体に対して持つ興味は大きい．多くの人間は体力的・知能的・美的な面で他の人間よりも優れた肉体を欲すると考えられ，また様々な特殊な体を持つ空想上のキャラクターに憧れ人間とは異なる構造の身体に興味を持つ物も多いであろう．だが身体機能の向上のためには通常長期間の継続した訓練を必要とし，人間とは異なる身体への変身は不可能であるといえる．科学技術の発展に伴い肉体形状および運動機能への物理的な介入方法が広まりつつあるが，未だに身体的リスクと金銭的コストが高く，複雑な装置を必要とするため誰もが気軽に利用できるものではない．このような背景から本研究では，人間の肉体そのものに介入するのではなく，肉体が生成する感覚である体性感覚を肉体外部から操作することで肉体の主観的特性を操作することを目標とする．主に身体表面の感覚を刺激するアクチュエータとして広く使われているボイスコイル型振動子は，様々な触感の呈示を簡便なセットアップで実現できる．したがってこれを身体運動に同期させて駆動する振動フィードバックシステムを開発し，運動に伴って発生する身体内部の感覚を操作することを試みる．体性感覚の操作に関する本研究は2 つの戦略によって構成される．一つは体性感覚の「増強」である．これは自己身体運動を把握する能力を高め，より鮮明に，あるいは詳細に運動状態を知覚させる量的な操作である．一方で，もう一つの戦略は体性感覚の質的な操作である「変調」である．これは身体自体の硬さや重さといった特性を変化させることであり，結果として身体を構成する材質・構造を主観的に変調することになる．これら2 つの戦略に沿った具体的な手法を，体性感覚の増強に関して2 件，変調に関しても2件設計した．体性感覚の増強に関しては，第一にロータリスイッチの回転に伴うカチカチとした触覚・力覚フィードバック「カチカチ感」に着目した．これを肘関節に付与して運動時の体性感覚を鮮明化し，腕立て伏せ姿勢の教示を試みた（第3 章）．第二に，自動車運転におけるアクセルペダルの操作を補助するため，ペダルの角度が一定値変化する度に瞬間的なクリック振動を呈示することで，ペダル角度の把握能力向上および操作性向上を試みた（第4 章）．体性感覚の変調に関しては，第一に様々な材質の衝突振動を再現する減衰正弦波モデルに着目し，これを身体運動に同期させて呈示することで身体材質感の変調を試みた（第5 章）．これによりロボットやゴム人間といった特殊なキャラクターの体性感覚の再現を目指した．第二に，ロボットキャラクターのみに着目し，実際のロボットに生じる振動加速度を記録・モデリング・再生する手法によりロボットの内部構造に起因する体性感覚まで再現することを試みた（第6 章）．またロボット感体験の総合的なリアリティ向上のため高品質な視覚・聴覚刺激を組み合わせたバーチャルリアリティゲームを開発した．また体性感覚の操作をより広範囲で行うため，既存の触覚ディスプレイの問題点を考察し，身体広範囲に均等な触覚刺激を呈示する触覚ディスプレイを開発した（第7 章）．最後に本研究全体のまとめと結論を述べ，今後の展望を示す（第8 章）．電気通信大学201

On Evaluating Commercial Cloud Services: A Systematic Review

Background: Cloud Computing is increasingly booming in industry with many competing providers and services. Accordingly, evaluation of commercial Cloud services is necessary. However, the existing evaluation studies are relatively chaotic. There exists tremendous confusion and gap between practices and theory about Cloud services evaluation. Aim: To facilitate relieving the aforementioned chaos, this work aims to synthesize the existing evaluation implementations to outline the state-of-the-practice and also identify research opportunities in Cloud services evaluation. Method: Based on a conceptual evaluation model comprising six steps, the Systematic Literature Review (SLR) method was employed to collect relevant evidence to investigate the Cloud services evaluation step by step. Results: This SLR identified 82 relevant evaluation studies. The overall data collected from these studies essentially represent the current practical landscape of implementing Cloud services evaluation, and in turn can be reused to facilitate future evaluation work. Conclusions: Evaluation of commercial Cloud services has become a world-wide research topic. Some of the findings of this SLR identify several research gaps in the area of Cloud services evaluation (e.g., the Elasticity and Security evaluation of commercial Cloud services could be a long-term challenge), while some other findings suggest the trend of applying commercial Cloud services (e.g., compared with PaaS, IaaS seems more suitable for customers and is particularly important in industry). This SLR study itself also confirms some previous experiences and reveals new Evidence-Based Software Engineering (EBSE) lessons

High-quality hyperspectral reconstruction using a spectral prior

We present a novel hyperspectral image reconstruction algorithm, which overcomes the long-standing tradeoff between spectral accuracy and spatial resolution in existing compressive imaging approaches. Our method consists of two steps: First, we learn nonlinear spectral representations from real-world hyperspectral datasets; for this, we build a convolutional autoencoder, which allows reconstructing its own input through its encoder and decoder networks. Second, we introduce a novel optimization method, which jointly regularizes the fidelity of the learned nonlinear spectral representations and the sparsity of gradients in the spatial domain, by means of our new fidelity prior. Our technique can be applied to any existing compressive imaging architecture, and has been thoroughly tested both in simulation, and by building a prototype hyperspectral imaging system. It outperforms the state-of-the-art methods from each architecture, both in terms of spectral accuracy and spatial resolution, while its computational complexity is reduced by two orders of magnitude with respect to sparse coding techniques. Moreover, we present two additional applications of our method: hyperspectral interpolation and demosaicing. Last, we have created a new high-resolution hyperspectral dataset containing sharper images of more spectral variety than existing ones, available through our project website

Compact single-shot hyperspectral imaging using a prism

We present a novel, compact single-shot hyperspectral imaging method. It enables capturing hyperspectral images using a conventional DSLR camera equipped with just an ordinary refractive prism in front of the camera lens. Our computational imaging method reconstructs the full spectral information of a scene from dispersion over edges. Our setup requires no coded aperture mask, no slit, and no collimating optics, which are necessary for traditional hyperspectral imaging systems. It is thus very cost-effective, while still highly accurate. We tackle two main problems: First, since we do not rely on collimation, the sensor records a projection of the dispersion information, distorted by perspective. Second, available spectral cues are sparse, present only around object edges. We formulate an image formation model that can predict the perspective projection of dispersion, and a reconstruction method that can estimate the full spectral information of a scene from sparse dispersion information. Our results show that our method compares well with other state-of-the-art hyperspectral imaging systems, both in terms of spectral accuracy and spatial resolution, while being orders of magnitude cheaper than commercial imaging systems

Power, policy and conflict: the politics of regional system of innovation in Gyeonggi province, South Korea

Academic literature has examined how change in a regional system of innovation involves interactions between various actors that participate in regional economic development. This thesis examines similar processes, but also explores the ways in which various factors characterize change in regional systems of innovation. Without making assumptions about the political nature of the interactions among actors and the contexts surrounding them, the thesis advances the idea of a non-economic approach to the processes of regional development and industrial policy. In this thesis, a strategic relational perspective to regional systems of innovation comprises the conceptual framework that provides an in-depth explanation of the analysis of experiences. The single case study is employed for the operationalization of the strategic-relational perspective in the context of Gyeonggi province, South Korea, as a highly industrialized region in a post catching-up economy. The fieldwork is based on the collection and analysis of interviews and participant observation. The interpretation of empirical evidence through the strategic relational perspective reveals tension in the governance context, which has not met the interests of regional policy makers concerning regional development and industrial policy in Gyeonggi province. Thus, the thesis portrays the parts played by the provincial government in the innovation system affecting innovative capacity and performance, and identifies the political tensions that emerged and that seemed to be important in these processes

Realtime tracking of passengers on the London underground transport by matching smartphone accelerometer footprints

Passengers travelling on the London underground tubes currently have no means of knowing their whereabouts between stations. The challenge for providing such service is that the London underground tunnels have no GPS, Wi-Fi, Bluetooth, or any kind of terrestrial signals to leverage. This paper presents a novel yet practical idea to track passengers in realtime using the smartphone accelerometer and a training database of the entire London underground network. Our rationales are that London tubes are self-driving transports with predictable accelerations, decelerations, and travelling time and that they always travel on the same fixed rail lines between stations with distinctive bumps and vibrations, which permit us to generate an accelerometer map of the tubes’ movements on each line. Given the passenger’s accelerometer data, we identify in realtime what line they are travelling on and what station they depart from, using a pattern-matching algorithm, with an accuracy of up to about 90% when the sampling length is equivalent to at least 3 station stops. We incorporate Principal Component Analysis to perform inertial tracking of passengers’ positions along the line when trains break away from scheduled movements during rush hours. Our proposal was painstakingly assessed on the entire London underground, covering approximately 940 km of travelling distance, spanning across 381 stations on 11 different lines