Fusing sensor data with publicly available information (PAI) for autonomy applications

2019 ◽  
Author(s):  
Lei Qian ◽  
Vadas Gintautas
Keyword(s):  
Sensor Data ◽  
Available Information

Robot navigation algorithms using learned spatial graphs

Robotica ◽  
1986 ◽  
Vol 4 (2) ◽  
pp. 93-100 ◽  
Author(s):  
S. S. Iyengar ◽  
C. C. Jorgensen ◽  
S. V. N. Rao ◽  
C. R. Weisbin
Keyword(s):  
Robot Navigation ◽  
Sensor Data ◽  
Two Dimensional ◽  
Continuous Transition ◽  
Spatial Graph ◽  
Spatial Graphs ◽  
Navigation Algorithms ◽  
Sensor Information ◽  
Navigation Planning ◽  
Available Information

SUMMARYFinding optimal paths for robot navigation in a known terrain has been studied for some time but, in many important situations, a robot would be required to navigate in completely new or partially explored terrain. We propose a method of robot navigation which requires no pre-learned model, makes maximal use of available information, records and synthesizes information from multiple journeys, and contains concepts of learning that allow for continuous transition from local to global path optimality. The model of the terrain consists of a spatial graph and a Voronoi diagram. Using acquired sensor data, polygonal boundaries containing perceived obstacles shrink to approximate the actual obstacles surfaces, free space for transit is correspondingly enlarged, and additional nodes and edges are recorded based on path intersections and stop points. Navigation planning is gradually accelerated with experience since improved global map information minimizes the need for further sensor data acquisition. Our method currently assumes obstacle locations are unchanging, navigation can be successfully conducted using two-dimensional projections, and sensor information is precise.

scholarly journals A Review of Environmental Context Detection for Navigation Based on Multiple Sensors

Sensors ◽  
2020 ◽  
Vol 20 (16) ◽  
pp. 4532 ◽  
Author(s):  
Florent Feriol ◽  
Damien Vivet ◽  
Yoko Watanabe
Keyword(s):  
Environmental Context ◽  
Sensor Data ◽  
Signal Quality ◽  
Navigation Systems ◽  
Localization Accuracy ◽  
Multiple Sensors ◽  
Context Detection ◽  
Art Research ◽  
Available Information

Current navigation systems use multi-sensor data to improve the localization accuracy, but often without certitude on the quality of those measurements in certain situations. The context detection will enable us to build an adaptive navigation system to improve the precision and the robustness of its localization solution by anticipating possible degradation in sensor signal quality (GNSS in urban canyons for instance or camera-based navigation in a non-textured environment). That is why context detection is considered the future of navigation systems. Thus, it is important firstly to define this concept of context for navigation and to find a way to extract it from available information. This paper overviews existing GNSS and on-board vision-based solutions of environmental context detection. This review shows that most of the state-of-the art research works focus on only one type of data. It confirms that the main perspective of this problem is to combine different indicators from multiple sensors.

scholarly journals Early Fault Diagnosis Method for Batch Process Based on Local Time Window Standardization and Trend Analysis

Sensors ◽  
2021 ◽  
Vol 21 (23) ◽  
pp. 8075
Author(s):  
Yuman Yao ◽  
Yiyang Dai ◽  
Wenjia Luo
Keyword(s):  
Fault Diagnosis ◽  
Trend Analysis ◽  
Time Window ◽  
Economic Value ◽  
Batch Process ◽  
Sensor Data ◽  
Batch Processes ◽  
Diagnosis Method ◽  
Available Information ◽  
Fault Information

The products of a batch process have high economic value. Meanwhile, a batch process involves complex chemicals and equipment. The variability of its operation leads to a high failure rate. Therefore, early fault diagnosis of batch processes is of great significance. Usually, the available information of the sensor data in batch processing is obscured by its noise. The multistage variation of data results in poor diagnostic performance. This paper constructed a standardized method to enlarge fault information as well as a batch fault diagnosis method based on trend analysis. First, an adaptive standardization based on the time window was created; second, utilizing quadratic fitting, we extracted a data trend under the window; third, a new trend recognition method based on the Euclidean distance calculation principle was composed. The method was verified in penicillin fermentation. We constructed two test datasets: one based on an existing batch, and one based on an unknown batch. The average diagnostic rate of each group was 100% and 87.5%; the mean diagnosis time was the same; 0.2083 h. Compared with traditional fault diagnosis methods, this algorithm has better fault diagnosis ability and feature extraction ability.

Smart City Technologies for Cultural Heritage Protection

2020 ◽  
Author(s):  
Jürgen Moßgraber ◽  
Tobias Hellmund ◽  
Philipp Hertweck ◽  
Hylke van der Schaaf
Keyword(s):  
Cultural Heritage ◽  
Smart City ◽  
Heat Waves ◽  
Smart Cities ◽  
Sensor Data ◽  
Weather Data ◽  
Complex Task ◽  
Future Situation ◽  
First Results ◽  
Available Information

<p>Climate change (CC) will morph the environmental landscape, thus leading to climate stress imposed on Cultural Heritage (CH). Especially, tangible CH, like castles, palaces, monuments and churches as well as gardens are exposed to CH effects. Such effects are heat waves, flooding, higher sea level, just to name a few.</p><p>The management and preservation of such CH buildings and whole sites, particularly in the context of CC, is a complex task in which authorities and decision makers need to aggregate and oversee information from diverse sources and domains. Yet, only by considering all relevant and available information, stakeholders can make well-grounded decisions. This imposes a complex task upon the authorities, not only due to the diversity and heterogeneity, but also to the quantity of available data.<br>Only if the current and future situation of the CH in focus is understood, strategies for protecting them can be developed.</p><p>The first challenge is to apply different kind of sensors to the buildings and gardens to collect data about the weather (temperature, precipitation, etc.), the situation of walls incl. cracks and the state of plants. After that, this data needs to be managed and made accessible in homogeneous way for further processing and analysis.<br>The domain of smart city research faces the exact same problems. Sensors are applied all over the city for example about traffic, infrastructure, air and water quality and weather data. In contrast to CH the community is much larger and the industry is involved as well.</p><p>Therefore, it is beneficial to look into technologies developed for smart cities and analyze how they can be applied to the monitoring of CH sites. For retrieving, managing and processing sensor data there are open standards evolving, for example the SensorThings API standard by the Open Geospatial Consortium (OGC). Currently, many tools evolve around such standards from which some are available as open source.<br>First results of successfully applying these technologies from different CH and smart city projects will be presented.</p>

scholarly journals NURSE CALL OTOMATIS DENGAN SENSOR BEAT PER MINUTES (BPM) BERBASIS INTERNET OF THINGS (IOT)

2019 ◽  
Vol 18 (2) ◽  
Author(s):  
Purwiyanto Purwiyanto ◽  
Cahya Vikasari ◽  
Dwi Novia Prasetyanti ◽  
Galih Mustiko Aji
Keyword(s):  
Information System ◽  
Internet Of Things ◽  
Embedded System ◽  
Normal Condition ◽  
Inpatient Care ◽  
Medical Service ◽  
Care Facility ◽  
Sensor Data ◽  
Rate Sensor ◽  
Available Information

ABSTRACTNurse call is a device which used by inpatient care facility to call nurse or other medical staff. Within some condition, the patient can’t make a call. Therefore, it is necessary to make a device that function for monitoring patient’s heartbeat as an indicator to give medical service. The sensor of Beat per Minutes is installed on the patien’s body that connected to network of Internet of Things (IoT) in order to be capable of communicating with the available information System in Nurse station. The sensor implementation on the network of IoT shows that the sensor data from 60 to 100 bpm is a normal condition. The more or less sensor data from the normal condition will give a warning on the Information System in Nurse Station.Keywords: Nurse call, Internet of Things, heart rate Sensor, Embedded System, Microcontroller.ABSTRAKNurse call merupakan perangkat yang digunakan pasien rawat inap untuk memanggil perawat atau petugas medis lainnya. Dalam beberapa kondisi pasien tidak dapat melakukan panggilan, oleh karena itu diperlukan suatu perangkat yang berfungsi untuk memantau detak jantung pasien sebagai indikator untuk memberikan pelayanan medis. Sensor Beat per Minutes (BPM) dipasang pada tubuh pasien yang terhubung pada jaringan Internet of Things (IoT) agar dapat berkomunikasi dengan Sistem Informasi yang ada di Nurse Station. Implementasi sensor pada jaringan IoT menunjukkan data sensor 60 sampai dengan 100 bpm merupakan kondisi normal. Data sensor lebih atau kurang dari kondisi normal akan memberikan peringatan pada Sistem Informasi yang terdapat di Nurse Station.Kata Kunci: Nurse call, Internet of Things, Sensor detak jantung, Sistem embedded, Mikrokontroler.

Ultrastructural Alterations in Hela Cells Induced by Spider Venom

1967 ◽  
Vol 25 ◽  
pp. 20-21
Author(s):  
Dale E. McClendon ◽  
Paul N. Morgan ◽  
Bernard L. Soloff
Keyword(s):  
Growth Medium ◽  
Mammalian Cells ◽  
Carcinoma Cells ◽  
Venom Protein ◽  
Sterile Saline ◽  
Carbon Coated ◽  
Available Information ◽  
Loxosceles Reclusa ◽  
Essential Growth ◽  
Solution Cultures

It has been observed that minute amounts of venom from the brown recluse spider, Loxosceles reclusa, are capable of producing cytotoxic changes in cultures of certain mammalian cells (Morgan and Felton, 1965). Since there is little available information concerning the effect of venoms on susceptible cells, we have attempted to characterize, at the electron microscope level, the cytotoxic changes produced by the venom of this spider.Cultures of human epithelial carcinoma cells, strain HeLa, were initiated on sterile, carbon coated coverslips contained in Leighton tubes. Each culture was seeded with approximately 1x105 cells contained in 1.5 ml of a modified Eagle's minimum essential growth medium prepared in Hank's balanced salt solution. Cultures were incubated at 36° C. for three days prior to the addition of venom. The venom was collected from female brown recluse spiders and diluted in sterile saline. Protein determinations on the venom-were made according to the spectrophotometric method of Waddell (1956). Approximately 10 μg venom protein per ml of fresh medium was added to each culture after discarding the old growth medium. Control cultures were treated similarly, except that no venom was added. All cultures were reincubated at 36° C.

Eds Of Radioactive Particles By Self-Induced Fluorescence

1990 ◽  
Vol 48 (2) ◽  
pp. 238-239
Author(s):  
Gregory L. Finch ◽  
Richard G. Cuddihy
Keyword(s):  
Electron Beam Irradiation ◽  
Nuclear Reactor ◽  
X Rays ◽  
Reactor Accident ◽  
Internal Radiation ◽  
X Ray ◽  
External Sources ◽  
X Irradiation ◽  
Available Information ◽  
Individual Particles

The elemental composition of individual particles is commonly measured by using energydispersive spectroscopic microanalysis (EDS) of samples excited with electron beam irradiation. Similarly, several investigators have characterized particles by using external monochromatic X-irradiation rather than electrons. However, there is little available information describing measurements of particulate characteristic X rays produced not from external sources of radiation, but rather from internal radiation contained within the particle itself. Here, we describe the low-energy (< 20 KeV) characteristic X-ray spectra produced by internal radiation self-excitation of two general types of particulate samples; individual radioactive particles produced during the Chernobyl nuclear reactor accident and radioactive fused aluminosilicate particles (FAP). In addition, we compare these spectra with those generated by conventional EDS.Approximately thirty radioactive particle samples from the Chernobyl accident were on a sample of wood that was near the reactor when the accident occurred. Individual particles still on the wood were microdissected from the bulk matrix after bulk autoradiography.

The Multiple Faces of Risk-Taking

2016 ◽  
Vol 32 (1) ◽  
pp. 17-38 ◽  
Author(s):  
Florian Schmitz ◽  
Karsten Manske ◽  
Franzis Preckel ◽  
Oliver Wilhelm
Keyword(s):  
Risk Taking ◽  
Basic Research ◽  
Formal Models ◽  
Experimental Paradigm ◽  
Nomological Network ◽  
Balloon Analogue Risk Task ◽  
Parameter Recovery ◽  
Task Specificity ◽  
Available Information ◽  
Criterion Variables

Abstract. The Balloon-Analogue Risk Task (BART; Lejuez et al., 2002 ) is one of the most popular behavioral tasks suggested to assess risk-taking in the laboratory. Previous research has shown that the conventionally computed score is predictive, but neglects available information in the data. We suggest a number of alternative scores that are motivated by theories of risk-taking and that exploit more of the available data. These scores can be grouped around (1) risk-taking, (2) task performance, (3) impulsive decision making, and (4) reinforcement sequence modulation. Their theoretical rationale is detailed and their validity is tested within the nomological network of risk-taking, deviance, and scholastic achievement. Two multivariate studies were conducted with youths (n = 435) and with adolescents/young adults (n = 316). Additionally, we tested formal models suggested for the BART that decompose observed behavior into a set of meaningful parameters. A simulation study with parameter recovery was conducted, and the data from the two studies were reanalyzed using the models. Most scores were reliable and differentially predictive of criterion variables and may be used in basic research. However, task specificity and the generally moderate validity do not warrant use of the experimental paradigm for diagnostic purposes.

Auditory visualization of landmine detector sensor data

2009 ◽  
Author(s):  
Bradley M. Davis ◽  
Woodrow W. Winchester ◽  
Jason D. Zedlitz
Keyword(s):  
Sensor Data

Review of operational indications on the design of facilities for radiopharmaceutical manufacturing in italy

2020 ◽  
Author(s):  
M.A. D’Avanzo ◽  
G.M. Contessa ◽  
G. Cocomello ◽  
M. Mattozzi ◽  
M. Pacilio ◽  
...  
Keyword(s):  
Ionizing Radiation ◽  
Design Stage ◽  
Safety Aspects ◽  
Scientific Institutions ◽  
Available Information

Purpose. In this article, the authors propose useful operational indications to approach in the best possible way the issues concerning the design of a facility for manufacturing radiopharmaceuticals, with focus on organizational and safety aspects. Methods. Several documents produced by authoritative bodies, national and international scientific institutions and associations were examined and referenced, to the purpose of reviewing all available information in the field. Results. Indications are gathered for the design stage, including the organization of accesses and routes and characteristics and requirements of premises and systems. Conclusions. Main goal is to guide the reader in evaluating and choosing the most suitable features and equipment to limit the risks due to ionizing radiation and to prevent contamination of the workers and the environment.

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