世界経済・社会統計 = World development indicators

https://link.springer.com/content/pdf/10.2307%2F3343168.pdf

Development as Freedom

▶ Addresses a wide range of timely environment, economic and energy topics ▶ A forum to review, analyze and stimulate the development, testing and implementation of mitigation and adaptation strategies at regional, national and global scales ▶ Contributes to real-time policy analysis and development as national and international policies and agreements are discussed and promulgated ▶ 94% of authors who answered a survey reported that they would definitely publish or probably publish in the journal again

Mitigation and Adaptation Strategies for Global Change

https://dspace.stir.ac.uk/bitstream/1893/25490/1/affective-computing-review.pdf

A review of affective computing

Regression Analysis of Count Data: Preface

In this paper, we propose BodyBeat, a novel mobile sensing system for capturing and recognizing a diverse range of non-speech body sounds in real-life scenarios. Non-speech body sounds, such as sounds of food intake, breath, laughter, and cough contain invaluable information about our dietary behavior, respiratory physiology, and affect. The BodyBeat mobile sensing system consists of a custom-built piezoelectric microphone and a distributed computational framework that utilizes an ARM microcontroller and an Android smartphone. The custom-built microphone is designed to capture subtle body vibrations directly from the body surface without being perturbed by external sounds. The microphone is attached to a 3D printed neckpiece with a suspension mechanism. The ARM embedded system and the Android smartphone process the acoustic signal from the microphone and identify non-speech body sounds. We have extensively evaluated the BodyBeat mobile sensing system. Our results show that BodyBeat outperforms other existing solutions in capturing and recognizing different types of important non-speech body sounds.

BodyBeat: a mobile system for sensing non-speech body sounds

In this paper, we present DoppleSleep -- a contactless sleep sensing system that continuously and unobtrusively tracks sleep quality using commercial off-the-shelf radar modules. DoppleSleep provides a single sensor solution to track sleep-related physical and physiological variables including coarse body movements and subtle and fine-grained chest, heart movements due to breathing and heartbeat. By integrating vital signals and body movement sensing, DoppleSleep achieves 89.6% recall with Sleep vs. Wake classification and 80.2% recall with REM vs. Non-REM classification compared to EEG-based sleep sensing. Lastly, it provides several objective sleep quality measurements including sleep onset latency, number of awakenings, and sleep efficiency. The contactless nature of DoppleSleep obviates the need to instrument the user's body with sensors. Lastly, DoppleSleep is implemented on an ARM microcontroller and a smartphone application that are benchmarked in terms of power and resource usage.

/pdf/dopplesleep-a-contactless-unobtrusive-sleep-sensing-system-2v7i6qlnn8.pdf

DoppleSleep: a contactless unobtrusive sleep sensing system using short-range Doppler radar

This paper attempts to provide a comprehensive analysis of interrelationships among the determinants of the quality of life (QOL). We show that various measures of well-being are highly sensitive to domains of QOL that are considered in the construction of comparative indices, and how measurable well-being indicators are aggregated and weighted to arrive at composite measures of QOL. We present a picture of conditions among the 43 countries of the world with respect to such interrelated domains of QOL as the relationship with family and friends, emotional well-being, health, work and productivity, material well-being, feeling part of one’s community, personal safety, and the quality of environment. On the basis of Borda rule and the principal components approach, we search for factor-indices that may function as QOL indices across countries. Comparing and analysing well-being conditions among countries in this way aim to facilitate the discovery of problems with government policies impacting QOL.

Measuring the Quality of Life across Countries

Identifying episodes of significant stress is a challenging problem with implications for personal health and interface adaptation. We present the results of a study comparing multiple modalities of minimally intrusive stress sensing in real-world environments, collected from seven participants as they carried out their everyday activities over a ten-day period. We compare the data streams produced by sensors and self-report measures, in addition to asking the participants, themselves, to reflect on the accuracy and completeness of the data that had been collected. Finally, we describe the range of participant experiences---both positive and negative---as they reported their everyday stress levels. As a result of this study, we demonstrate that voice-based stress sensing tracks with electrodermal activity and self-reported stress measures in real-world environments and we identify limitations of various sensing approaches.

https://pac.cs.cornell.edu/pubs/stress-pervasive-health-2014.pdf

Towards personal stress informatics: comparing minimally invasive techniques for measuring daily stress in the wild

Physically Unclonable Functions (PUFs) have emerged as a security block with the potential to generate chip-specific identifiers and cryptographic keys. However it has been shown that the stability of these identifiers and keys is heavily impacted by aging and environmental variations. Previous techniques have mostly focused on improving PUF robustness against supply noise and temperature but aging has been largely neglected. In this paper, we propose a new aging resistant design for the popular ring-oscillator (RO)-PUF. Simulation results demonstrate that our aging resistant RO-PUF (called ARO-PUF) can produce unique, random, and more reliable keys. Only 7.7% bits get flipped on average over 10 years operation period for an ARO-PUF due to aging where the value is 32% for a conventional RO-PUF. The ARO-PUF shows an average interchip HD of 49.67% (close to ideal value 50%) and better than the conventional RO-PUF (~45%). With lower error, ARO-PUF offers ~ 24X area reduction for a 128-bit key because of reduced ECC complexity and smaller PUF footprint.

Tauhidur Rahman

Papers

BodyBeat: a mobile system for sensing non-speech body sounds

DoppleSleep: a contactless unobtrusive sleep sensing system using short-range Doppler radar

Measuring the Quality of Life across Countries

Towards personal stress informatics: comparing minimally invasive techniques for measuring daily stress in the wild

ARO-PUF: an aging-resistant ring oscillator PUF design