Managing big data experiments on smartphones

The explosive number of smartphones with ever growing sensing and computing capabilities have brought a paradigm shift to many traditional domains of the computing field. Re-programming smartphones and instrumenting them for application testing and data gathering at scale is currently a tedious and time-consuming process that poses significant logistical challenges. Next generation smartphone applications are expected to be much larger-scale and complex, demanding that these undergo evaluation and testing under different real-world datasets, devices and conditions. In this paper, we present an architecture for managing such large-scale data management experiments on real smartphones. We particularly present the building blocks of our architecture that encompassed smartphone sensor data collected by the crowd and organized in our big data repository. The given datasets can then be replayed on our testbed comprising of real and simulated smartphones accessible to developers through a web-based interface. We present the applicability of our architecture through a case study that involves the evaluation of individual components that are part of a complex indoor positioning system for smartphones, coined Anyplace, which we have developed over the years. The given study shows how our architecture allows us to derive novel insights into the performance of our algorithms and applications, by simplifying the management of large-scale data on smartphones

Social-aware Forwarding in Opportunistic Wireless Networks: Content Awareness or Obliviousness?

With the current host-based Internet architecture, networking faces limitations in dynamic scenarios, due mostly to host mobility. The ICN paradigm mitigates such problems by releasing the need to have an end-to-end transport session established during the life time of the data transfer. Moreover, the ICN concept solves the mismatch between the Internet architecture and the way users would like to use it: currently a user needs to know the topological location of the hosts involved in the communication when he/she just wants to get the data, independently of its location. Most of the research efforts aim to come up with a stable ICN architecture in fixed networks, with few examples in ad-hoc and vehicular networks. However, the Internet is becoming more pervasive with powerful personal mobile devices that allow users to form dynamic networks in which content may be exchanged at all times and with low cost. Such pervasive wireless networks suffer with different levels of disruption given user mobility, physical obstacles, lack of cooperation, intermittent connectivity, among others. This paper discusses the combination of content knowledge (e.g., type and interested parties) and social awareness within opportunistic networking as to drive the deployment of ICN solutions in disruptive networking scenarios. With this goal in mind, we go over few examples of social-aware content-based opportunistic networking proposals that consider social awareness to allow content dissemination independently of the level of network disruption. To show how much content knowledge can improve social-based solutions, we illustrate by means of simulation some content-oblivious/oriented proposals in scenarios based on synthetic mobility patterns and real human traces.Comment: 7 pages, 6 figure

日本人大学生を対象にした英語学習ウエブアプリケーションの導入

This case study examines the introduction of web-based apps to Japanese university students for skill-based English learning. The focus is on 32 students from the International Studies and Education departments at a private Japanese university. The course was an elective English course titled,“ Current Events English.” In class, activities consisted of analog speaking activities from the textbook. However, web-based applications were introduced to support class preparation, the midterm, and the final project. The Memrise app for vocab learning was optional for class preparation. Use of Google Classroom was required for accessing the initial class documents, and Cambridge Write & Improve was required or the final project. Data was collected from the applications as well as from student surveys. The findings provide insight into the efficacy of webbased applications for language learning in Japan. It also contributes to the body of knowledge regarding the reticence of Japanese university students to adopt digital modes of language learning.本事例研究では日本人大学生を対象にした英語学習のためのウエブアプリケーション（WA） の適用可能性を明らかにする。対象は国際教育学科と教育経営学科の学生32人である。時事英語（選択教科コース）では主に教科書からのアナログ・スピーキング・アクティビティーを行ったが，授業の事前準備，中間発表，およびファイナルプロジェクトために三つのWAを導入した。学生主体の 事前準備のためにMemriseの語彙学習アプリを使用し，授業のシラバスおよびプリントを手に入れるためにグーグル・クラスルームを必要とした。ファイナルプロジェクトのためにCambridge Write & Improveも必要とした。WAと学生アンケートからデータを収集して分析した。本研究の結果は，日本人学生が言語学習にWAを使用することに控えめであるにもかかわらず，WAが語学学習には有効であるという知識体系を得られた

Moving Parallel and Transversal Lines with Touches on Smartphones: A Look through Screenrecording

This article illustrates how videos generated through capturing touches on screens (screenrecording) can assist in analyses related to manipulation and reasoning by primary education learners in solving geometry tasks. We are presenting two protocols as ways to elucidate the use of application AZ Screen Recorder in learning about parallel lines intersected by a transversal line. In the first protocol, the interactions and the ways adopted by the subjects when analyzing the relation between corresponding angles are highlighted. In the second protocol, the relevant aspects are related to the particularities of the atmosphere of dynamic geometry used and the strategies adopted by the learners in the study of corresponding angles and collateral internal angles. The screen recording allowed us to (re)view the students’ touches in two simultaneous sources (audio and interactions on screen), using the same application. The analyses point to the fact that screenrecording made it possible to identify interactions on screen, especially through synchronicity, which contributed to track learning processes and to reformulate a research planning

The role, opportunities and challenges of 3D and geo-ICT in archaeology

Archaeology joins in the trend of three-dimensional (3D) data and geospatial information technology (geo-ICT). Currently, the spatial archaeological data acquired is 3D and mostly used to create realistic visualizations. Geographical information systems (GIS) are used for decades in archaeology. However, the integration of geo-ICT with 3D data still poses some problems. Therefore, this paper clarifies the current role of 3D, and the opportunities and challenges for 3D and geo-ICT in the domain of archaeology. The paper is concluded with a proposal to integrate both trends and tackle the outlined challenges. To provide a clear illustration of the current practices and the advantages and difficulties of 3D and geo-ICT in the specific case of archaeology, a limited case study is presented of two structures in the Altay Mountains

Revisiting QRS detection methodologies for portable, wearable, battery-operated, and wireless ECG systems

Cardiovascular diseases are the number one cause of death worldwide. Currently, portable battery-operated systems such as mobile phones with wireless ECG sensors have the potential to be used in continuous cardiac function assessment that can be easily integrated into daily life. These portable point-of-care diagnostic systems can therefore help unveil and treat cardiovascular diseases. The basis for ECG analysis is a robust detection of the prominent QRS complex, as well as other ECG signal characteristics. However, it is not clear from the literature which ECG analysis algorithms are suited for an implementation on a mobile device. We investigate current QRS detection algorithms based on three assessment criteria: 1) robustness to noise, 2) parameter choice, and 3) numerical efficiency, in order to target a universal fast-robust detector. Furthermore, existing QRS detection algorithms may provide an acceptable solution only on small segments of ECG signals, within a certain amplitude range, or amid particular types of arrhythmia and/or noise. These issues are discussed in the context of a comparison with the most conventional algorithms, followed by future recommendations for developing reliable QRS detection schemes suitable for implementation on battery-operated mobile devices.Mohamed Elgendi, Björn Eskofier, Socrates Dokos, Derek Abbot