A. A. Altahir, V. Asirvadam, P. Sebastian, N. H. Hamid
{"title":"Solving Surveillance Coverage Demand Based on Dynamic Programming","authors":"A. A. Altahir, V. Asirvadam, P. Sebastian, N. H. Hamid","doi":"10.1109/SAS48726.2020.9220039","DOIUrl":"https://doi.org/10.1109/SAS48726.2020.9220039","url":null,"abstract":"Typical visual sensor planning approaches install visual sensors arrays to increase the amount of coverage and/or decrease the installation cost. These planning approaches operate with no stress on coverage demand, thus, optimizing the visual sensor placement based on equally significance grids. This paper addresses the visual sensor coverage efficiency based on a combination of risk mapping and dynamic programming. The improved coverage efficiency is obtained by utilizing a prior routine to highlight the security critical regions. Then, a dynamic programming algorithm is used to compute a near optimal coverage solution. The result of the dynamic programming is evaluated with respect to global greedy search outcomes. The comparison reveals the reliability of the visual sensor planning using risk maps and dynamic programming.","PeriodicalId":223737,"journal":{"name":"2020 IEEE Sensors Applications Symposium (SAS)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127543000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dario Masucci, Carlo Venettacci, S. Panzieri, L. Colace
{"title":"Multisensor device for emergency recognition in smart building environment","authors":"Dario Masucci, Carlo Venettacci, S. Panzieri, L. Colace","doi":"10.1109/SAS48726.2020.9220067","DOIUrl":"https://doi.org/10.1109/SAS48726.2020.9220067","url":null,"abstract":"In case of serious environmental disasters, such as floods, landslides and earthquakes, the first activity that an emergency management system must carry out is the detection, recognition and report of anomalous events. In order to be able to automatically perform these actions, it is necessary to have an efficient sensor network within the building. By means of a well- organized and high-performance sensor network, data from the field are acquired and processed to produce usable information at a high level. The Building Management System (BMS) therefore has information available on the occurrence of an anomalous event, whether caused by natural or intentional causes. The purpose of our work is to design and implement a cost-effective sensorized device, managed by an ATmega microcontroller and equipped with a Wi-Fi module for easier integration, able to detect and report potentially dangerous situations within a building. In particular, fires, floods, gas leaks and earthquakes were considered. Thanks to the integration of simple data analysis and data fusion algorithms, the platform is able to recognize and report the occurrence of emergency events within a building.","PeriodicalId":223737,"journal":{"name":"2020 IEEE Sensors Applications Symposium (SAS)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128351838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Atabak Sarrafan, S. Azimi, B. Bahreyni, F. Golnaraghi
{"title":"Demonstration of a Nonlinear Angular Rate Sensor based on Internal Resonance","authors":"Atabak Sarrafan, S. Azimi, B. Bahreyni, F. Golnaraghi","doi":"10.1109/SAS48726.2020.9220040","DOIUrl":"https://doi.org/10.1109/SAS48726.2020.9220040","url":null,"abstract":"This paper reports on the design, fabrication and rate table characterization of an H-shaped tuning fork microresonator with 2:1 internal resonance as an actuation mechanism. The nonlinear principle of operation addresses major challenges in MEMS Coriolis vibratory gyroscopes: eliminating the mode-matching requirement, minimizing instability and drift due to mechanical cross-coupling between the fundamental modes, and generating a wide operating frequency range with high-signal gain and less sensitivity to fluctuations in driving frequency. The rate measurement relies on capturing the half-order subharmonic response of the device while undergoing the angular velocity. The micromachined resonator is fabricated using the MEMS Integrated Design for Inertial Sensors platform offered by Teledyne DALSA Inc. The experimental finding demonstrated the prominent M-shaped nonlinear resonant curves due to a frequency ratio close to 2:1. The microresonator is nominally operated in the overlap region between the forward and backward frequency sweeps, where the signal gain is less sensitive to frequency fluctuations. The microresonator described here operates at 561.23600kHz in a near 2:1 frequency ratio between two anti-phase resonant modes. Experimental rate characterization of the microresonator revealed a linear dynamic range of 220 deg sec-1 with a sensitivity of 0.011 mV deg-1 sec-1 using an 80V DC polarization voltage. The experimental results of the microresonator showed the induced oscillations in the so-called pendulum mode by Coriolis force coupling, despite a clear disparity on natural frequencies of the desired modes.","PeriodicalId":223737,"journal":{"name":"2020 IEEE Sensors Applications Symposium (SAS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124335557","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jacqueline Lee Fang Ang, W. Lee, B. Ooi, T. W. Ooi
{"title":"Location Sensing using QR codes via 2D camera for Automated Guided Vehicles","authors":"Jacqueline Lee Fang Ang, W. Lee, B. Ooi, T. W. Ooi","doi":"10.1109/SAS48726.2020.9220022","DOIUrl":"https://doi.org/10.1109/SAS48726.2020.9220022","url":null,"abstract":"Automated Guided Vehicle (AGV) have gradually played a key role in many industrial systems such as factories and logistics. The key factor for AGV to be adopted is cost effective and accurate location sensing capabilities. In this paper, QR codes are used as artificial landmarks for AGVs to perform location sensing. This work differs from conventional floor-grid-based QR codes for AGVs as location tags, this work proposes to use the distance and angle between a camera attached on an AGV and the QR codes that are strategically placed around a facility to compute the exact location of the AGV. Experiment is conducted to test on the accuracy of the computed distance and angle. The proposed localization approach allows self-localization on multi-AGV systems and by using QR codes, the ambiguity of finding unique landmarks in a facility can be eliminated.","PeriodicalId":223737,"journal":{"name":"2020 IEEE Sensors Applications Symposium (SAS)","volume":"26 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126262533","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Alexander Gercikow, Sebastian Schaffenroth, Hans-Peter Schmidt, A. Kölpin
{"title":"Measurement Platform for Physical-Layer Analysis of Industrial and Automotive Ethernet","authors":"Alexander Gercikow, Sebastian Schaffenroth, Hans-Peter Schmidt, A. Kölpin","doi":"10.1109/SAS48726.2020.9220024","DOIUrl":"https://doi.org/10.1109/SAS48726.2020.9220024","url":null,"abstract":"Robustness of communication is essential for many automotive and industrial Ethernet applications due to real-time and safety features that are required. Existing data transmission structures have to be used for higher transmission rates in some application. Likewise, some new installation require cost-effective cabling with non-ideal transmission characteristics such as unshielded single twisted pair. This enables economic feasibility of Industrial Internet of Things networking of simple sensors and actors. We introduce a universal platform for physical layer analysis for such physical layers. It covers communication channels up to some 10 Mbit/s, which are typically found in industrial and automotive Ethernet. We present a combined soft- and hardware solution. It comprises an end-to-end communication and facilities spectrum, correlation and constellation analysis. Application to and results for unshielded twisted pair cabling are presented.","PeriodicalId":223737,"journal":{"name":"2020 IEEE Sensors Applications Symposium (SAS)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127928688","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Provisioning IEEE Smart Transducer Standards (P21451.1) to Include Health Metrics via HEDS","authors":"Russell Trafford, Sa-Chul Shin, J. Schmalzel","doi":"10.1109/SAS48726.2020.9220029","DOIUrl":"https://doi.org/10.1109/SAS48726.2020.9220029","url":null,"abstract":"Rapid evolution of Internet of Things (IoT) devices places new demands on the ease of networking very large numbers of devices. The IEEE 1451 family of smart transducer standards for sensors and actuators is evolving to keep pace. One of the most important innovations within the standards is the transducer electronic data sheet (TEDS), which conveys essential device information. For distributed networks, the health of devices is of increasing concern as a means to for assuring measurement and control actions. This paper describes the adaptation of the TEDS concept to a health electronic data sheet (HEDS) that is to be proposed as part of ongoing standards update activities. The HEDS has a lexicon of anomalies and associated measures, which an application can access to support the health functions. Pushing the use of HEDS to edge devices can distribute health assessment across all levels of a system hierarchy.","PeriodicalId":223737,"journal":{"name":"2020 IEEE Sensors Applications Symposium (SAS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130285253","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"RTK-LoRa: High-Precision, Long-Range and Energy-Efficient Localization for Mobile IoT devices","authors":"Philipp Mayer, M. Magno, Armin Berger, L. Benini","doi":"10.1109/SAS48726.2020.9220057","DOIUrl":"https://doi.org/10.1109/SAS48726.2020.9220057","url":null,"abstract":"High precision Global Navigation Satellite System (GNSS) is a crucial feature for geo-localization to enhance future applications such as self-driving vehicles. Real-Time Kinematic (RTK) is a promising technology to achieve centimeter precision in GNSS. However, it requires radio communication, which usually is power-hungry and costly, e.g. when using the 4G network. Hence, today RTK is not much exploited in low power energy-efficient devices. In this work, we present a novel sub-meter precision RTK-base system that also achieves the requirements of low power and energy efficiency. The proposed system exploits a novel GNSS module with RTK combined with a long-range and low-power radio (LoRa) to achieve geolocalization with minimal wireless radio infrastructure requirements. We evaluate three different GNSS modules and compare their performance in terms of power and especially precision. Experimental results, with in-field measurements, show an average accuracy of tens of centimeters with a single base station as geostationary reference anchor placed at kilometers of distance from the end-node performing the distance measurement. The peak accuracy measured was below 10cm.","PeriodicalId":223737,"journal":{"name":"2020 IEEE Sensors Applications Symposium (SAS)","volume":"229 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134086372","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Yield Process Control based on the Production Data","authors":"N. D. Truong, S. Demidenko, G. Merola","doi":"10.1109/SAS48726.2020.9220086","DOIUrl":"https://doi.org/10.1109/SAS48726.2020.9220086","url":null,"abstract":"Semiconductor device manufacturing process involves a large number of sophisticated production steps that have to be controlled precisely so to achieve and to maintain the required yield and product quality specifications. Therefore, it is critical to employ extensive data collection from numerous process-associated sensors. The data are then utilized by the process control system (PCS) to monitor and control the manufacturing process. This paper presents a real-world study performed at one of the major semiconductor device manufacturers where the massive data from the production line sensors were analyzed by PCS to (1) determine parameters that are significantly correlated with the product yield; and (2) perform a regression analysis to estimate the yield from PCS data. The study enabled to identify several key parameters, that can be optimized to improve the product yield. Keywords—process control system, yield, manufacturing, regression analysis","PeriodicalId":223737,"journal":{"name":"2020 IEEE Sensors Applications Symposium (SAS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131116123","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}