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Evaluating Dextoria - A modular, embedded system to control electric guitar effects via sound-producing gestures 24

Evaluating Dextoria - A modular, embedded system to control ...

引用

19th International Audio Mostly conference (AM)

作者： Bernreiter, Bjoern Gross-Vogt, Katharina Weger, Marian Univ Appl Sci Graz Inst Design & Commun Graz Austria Univ Mus & Performing Arts Graz Inst Elect Mus & Acoust IEM Graz Austria French German Res Inst St Louis ISL St Louis France

ISBN: (纸本)9798400709685

Standard guitar effects pedals are limited in their control possibilities, difficult to access on stage and challenging to operate while playing. Innovative control systems are often not well integrated into the common guitar playing environment. In this paper we present "Dextoria" - a modular control system that allows guitarists to make additional use of their sound-producing hand gestures. With the fretting hand, guitarists can switch between two effects loops, depending on the hand's fret position that is measured by a distance sensor on the guitar's headstock. the posture of the picking/strumming hand is captured by an IMU sensor on a hand strap, in order to control guitar effects pedals that have an expression input. Dextoria has been qualitatively evaluated with nine experienced stage guitarists. Our findings suggest that it enables smoother and more intimate control of effects, while at the same time it provides the ability to control off-the-shelf effects pedals. It thus potentially integrates into guitarists' existing live setups.

关键词： augmented instruments guitar effects effects pedals meta instruments musical expression NIME electric guitar sound-producing gestures

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Leakage-Aware Lifetime Estimation of Battery-Free sensor Nodes powered by Supercapacitors 20

Leakage-Aware Lifetime Estimation of Battery-Free Sensor Nod...

引用

20th acm conference on embedded networked sensor systems (SenSys)

作者： Brunner, Hannah Boano, Carlo Alberto Roemer, Kay Graz Univ Technol Graz Austria

ISBN: (纸本)9781450398862

Battery-free sensor nodes rely solely on energy harvested from the environment and thus employ supercapacitors as energy storage to allow perpetual operation in absence of ambient energy. To guarantee that the sensor nodes can survive in periods where no harvested energy is available, it is crucial to accurately estimate the lifetime of these devices. However, as we show experimentally in this paper, an accurate lifetime estimation is non-trivial due to the supercapacitors' complex discharge characteristics (e.g., leakage currents) and large capacitance tolerances. After showing that empirical data capturing the supercapacitors' characteristics is essential towards an accurate estimation of the system's lifetime, we introduce an enhanced leakage model that is computationally lightweight and evaluate its accuracy experimentally.

关键词： Battery-Free systems sensor Nodes Supercapacitors Leakage

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A Survey of Blockchain-based Electronic Voting Mechanisms in sensor Networks 20

A Survey of Blockchain-based Electronic Voting Mechanisms in...

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20th acm conference on embedded networked sensor systems (SenSys)

作者： Geng, Tieming Njilla, Laurent Huang, Chin-Tser Dept Comp Sci & Engn Columbia SC 29201 USA Air Force Res Lab Rome NY USA

ISBN: (纸本)9781450398862

Electronic voting technology has the ability to accelerate the counting of ballots, reduce the cost of voting, and offer convenience for remote voters. Meanwhile, the efficiency of voting can be improved. Immutability, verifiability, and distribution are the main features blockchain can provide. Building an electronic voting system based on the blockchain can help to mitigate the security issues such as single-point failure and data manipulation. However, some blockchain systems are not feasible in the environment of sensor networks. In this paper, we propose a comparative analysis of blockchain-based electronic voting systems from the perspective of blockchain type, cryptography techniques, counting method, and security requirements. We also identify a possible new direction for the design of blockchain-based electronic voting systems for the reference of future research.

关键词： sensor network blockchain electronic voting

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Design and Deployment of a Multi-Modal Multi-Node sensor Data Collection Platform 20

Design and Deployment of a Multi-Modal Multi-Node Sensor Dat...

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20th acm conference on embedded networked sensor systems (SenSys)

作者： Fang, Shiwei Sarker, Ankur Wang, Ziqi Srivastava, Mani Marlin, Benjamin Ganesan, Deepak Univ Massachusetts Amherst MA 01003 USA Univ Calif Los Angeles Los Angeles CA USA

ISBN: (纸本)9781450398862

Sensing and data collection platforms are the crucial components of high-quality datasets that can fuel advancements in research. However, such platforms usually are ad-hoc designs and are limited in sensor modalities. In this paper, we discuss our experience designing and deploying a multi-modal multi-node sensor data collection platform that can be utilized for various data collection tasks. the main goal of this platform is to create a modality-rich data collection platform suitable for Internet of things (IoT) applications with easy reproducibility and deployment, which can accelerate data collection and downstream research tasks.

关键词： Internet of things

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Simultaneous Sporadic sensor Anomaly Detection for Smart Homes 20

Simultaneous Sporadic Sensor Anomaly Detection for Smart Hom...

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20th acm conference on embedded networked sensor systems (SenSys)

作者： Jung, Hyunwoo Kim, Wootack Seo, Hyuna Lee, Youngki Seoul Natl Univ Seoul South Korea

ISBN: (纸本)9781450398862

Dissemination of sensors and advances in techniques (e.g., network) has led to the opportunity for smart home. However, sensor malfunctions and difficult-to-diagnose characteristics hinder robust sensor system operation. sensor anomaly detection systems for smart home have been proposed, but they target only a few specific types of sensor anomalies of a single sensor. In this work, we propose a sensor anomaly detection method based on Deep Neural Network (DNN), which automatically extracts critical features to detect the anomalies, even for simultaneous sporadic anomalies with complex data patterns. We leverage Hypersphere Classification (HSC) [14], the state-of-the-art DNN-based supervised outlier exposure method. We evaluate our proposed method on a public smart home sensor dataset. Our results show that the performances of the baselines drop up to 54.4% while ours drops up to 1.1%.

关键词： Smart Home Anomaly Detection Deep Learning Unsupervised Outlier Exposure

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Hardware to enable large-scale deployment and observation of soil microbial fuel cells 20

Hardware to enable large-scale deployment and observation of...

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20th acm conference on embedded networked sensor systems (SenSys)

作者： Madden, John Marcano, Gabriel Taylor, Stephen Pannuto, Pat Josephson, Colleen UC Santa Cruz Santa Cruz CA 95064 USA Univ Calif San Diego San Diego CA USA

ISBN: (纸本)9781450398862

Soil microbial fuel cells are a promising source of energy for outdoor sensor networks. these biological systems are sensitive to environmental conditions, therefore more data is needed on their behavior "in the wild" to enable the creation of an energy system capable of being widely deployed. Prior work on early characterization of microbial fuel cells relied on extremely accurate, but expensive, logging hardware. To scale up the number of deployment sites, we present custom logging hardware, specially designed to accurately monitor the behavior of microbial fuel cells at low cost. this paper describes the design and evaluation of the board, which is open source and freely available on Github.

关键词： Microbial fuel cell Power monitoring sensor networks Power harvesting

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Fusing Computer Vision and Wireless Signal for Accurate sensor Localization in AR View 20

Fusing Computer Vision and Wireless Signal for Accurate Sens...

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20th acm conference on embedded networked sensor systems (SenSys)

作者： Billah, Md Fazlay Rabbi Masum Saoda, Md Mofijul Islam Nurani Iqbal, Tariq Campbell, Bradford Univ Virginia Charlottesville VA 22903 USA

ISBN: (纸本)9781450398862

Recent years have seen increasing traction to enable new applications that can localize sensors on the screen of an Augmented Reality (AR) device (e.g. smartphone, tablet) so that sensors can be controlled more intuitively. Despite recent advances in this area, both wireless signal dependent and computer vision based localization solutions have seen a slow acceptance due to signal noise, multipath effect, and limited AR device-sensor interactivity. In this paper, we propose a novel solution to combine the complementary advantages of wireless signal based localization solution with the computer vision based solution to track IoT devices and sensors more accurately. Experimental result shows that our system can accurately track IoT devices with an average pixel error of 34 pixels in a 1024 x 768 pixels image, which is a 75.8% improvement from the state-of-the-art model.

关键词： sensor Localization Augmented Reality BLE Computer Vision

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Towards the Plant-Based sensor: Agricultural Energy Harvesting and Sensing Experiments 20

Towards the Plant-Based Sensor: Agricultural Energy Harvesti...

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20th acm conference on embedded networked sensor systems (SenSys)

作者： Luong, Tyler thomas, Stewart J. Bucknell Univ Lewisburg PA 17837 USA

ISBN: (纸本)9781450398862

With an ongoing search for alternative energy sources, plants may serve as a viable means for operating low-power digital circuits. Biopotential, the electrical signals found within the body due to electrochemical activity, can be monitored and harnessed within plants and vegetables. Measuring plant biopotential, in combination with electrogenic microbial fuel cell (MFC) technology [14], suggests that a self-sufficient and micro-power generation system can be made using a microbial fuel cell in tandem with a living plant [18]. this research presents ongoing work in proposed sub-systems within this power generation system and their compatibility with low-power electronics, a project inspired from works focused on converting plants into batteries [7, 8]. the power harvesting aspect of the project consists of long deployment experiments with mud based MFCs using MudWatt kits, as well as a plant based MFC. the plant sensing aspect of the project is depending on thigmonastic reactions from the plant specie Mimosa pudica.

关键词： energy harvesting bioelectricity plant monitoring

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Intelligent Continuous Monitoring to Handle Data Distributional Changes for IoT systems 20

Intelligent Continuous Monitoring to Handle Data Distributio...

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20th acm conference on embedded networked sensor systems (SenSys)

作者： Bandyopadhyay, Soma Datta, Anish Pal, Arpan Gadepally, Srinivas Raghu Raman TCS Res Kolkata India TCS Hyderabad India

ISBN: (纸本)9781450398862

Intelligent continuous monitoring of an IoT system to identify the operational changes, encompassing both normal and abnormal scenarios, with drift in sensing device is a challenging problem. It demands capability of learning continuously with multiple interventions or shifts, without forgetting past events information. However, forgetting the past learned knowledge, known as catastrophic forgetting, impacts significantly on the performance of continuous monitoring. In this work, we propose a generative neural network based model to handle various operational changes. Here, one objective is to learn continually by capturing past data distributional knowledge, while adapting new data signatures. Other objective, is to handle changes in data distribution like, to identify drifts, as well as, variations in diverse operational conditions of the system. We have experimented using vibration sensor based public real-world bearing data and performed extensive analysis incorporating synthetic drifts. Proposed method outperforms existing benchmark performances with clear separation of drift in learned representation.

关键词： continual learning machine vibration sensor drift

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Wireless Identification and Sensing Platform Version 6.0 20

Wireless Identification and Sensing Platform Version 6.0

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20th acm conference on embedded networked sensor systems (SenSys)

作者： Menon, Rohan Gujarathi, Rohit Saffari, Ali Smith, Joshua R. Univ Washington Seattle WA 98195 USA

ISBN: (纸本)9781450398862

Connected devices are becoming more ubiquitous, but powering them remains a challenge. the Wireless Identification and Sensing Platform (WISP) is a fully programmable device capable of energy harvesting and backscatter communication. It can accommodate a variety of sensing modalities and operate without batteries or a wired power supply, making it a suitable device for ubiquitous computing. A new version of WISP is presented. WISP-6.0 is designed to be low-power, modular, and enable dual energy harvesting from sources like a solar panel. Additionally, an upgraded cross-platform host application is built using the latest web technologies. Compared to its predecessor, WISP-5.1, WISP-6.0 consumes 13.62% and 6.29% less power in active accelerometer and active acknowledgment modes respectively. Furthermore, WISP-6.0 is better able to harvest RF energy collected from its antenna, with the greatest improvements at higher input powers.

关键词： WISP sensor platforms energy harvesting wireless sensor networks Internet of things battery-free camera battery-free microphone battery-free sensor

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