Design and Implementation of Digital Sensor Simulator

2013 ◽  
Vol 411-414 ◽  
pp. 1581-1587
Author(s):  
Gai Fang Wang ◽  
Feng Feng Fan ◽  
Xi Tao Xing ◽  
Yong Wang
Keyword(s):  
Rapid Development ◽  
General Structure ◽  
Sensor Technology ◽  
Simulation Environment ◽  
Sensor Applications ◽  
Detection Technology ◽  
Additional Costs ◽  
High Level ◽  
Performance Results ◽  
Short Time

With the rapid development of sensor technology recently, sensors have been applied to various fields for detecting object states, e.g. intelligent agriculture, intelligent power, intelligent city, the Internet of Things, etc., and have becoming more and more critical for dynamic data acquisition. Due to detection environment, detection technology, costs and other factors, access to actual sensors for developing or debugging a sensor application may cause additional costs and time. Meanwhile, testing new sensor applications and protocols needs appropriate feasible ways with low costs and short time. Therefore, it is fairly urgent for designing and developing a simulation environment of sensors and sensor applications. This paper parsed the general structure of digital sensors, and then designed domain-based high level architecture of digital sensor simulator. Finally, the prototype of digital sensor simulator was developed and demonstrated the proper performance. Results show that digital sensor simulator would provide an effective way for testing novel sensors and protocols and also play an important role for constituting sensor network simulation environment.

scholarly journals Mobile Networks and Internet of Things Infrastructures to Characterize Smart Human Mobility

Smart Cities ◽  
2021 ◽  
Vol 4 (2) ◽  
pp. 894-918
Author(s):  
Luís Rosa ◽  
Fábio Silva ◽  
Cesar Analide
Keyword(s):  
Internet Of Things ◽  
Mobile Networks ◽  
Smart Cities ◽  
Human Mobility ◽  
Rapid Development ◽  
Disruptive Technology ◽  
New Paradigm ◽  
Design And Optimization ◽  
High Level

The evolution of Mobile Networks and Internet of Things (IoT) architectures allows one to rethink the way smart cities infrastructures are designed and managed, and solve a number of problems in terms of human mobility. The territories that adopt the sensoring era can take advantage of this disruptive technology to improve the quality of mobility of their citizens and the rationalization of their resources. However, with this rapid development of smart terminals and infrastructures, as well as the proliferation of diversified applications, even current networks may not be able to completely meet quickly rising human mobility demands. Thus, they are facing many challenges and to cope with these challenges, different standards and projects have been proposed so far. Accordingly, Artificial Intelligence (AI) has been utilized as a new paradigm for the design and optimization of mobile networks with a high level of intelligence. The objective of this work is to identify and discuss the challenges of mobile networks, alongside IoT and AI, to characterize smart human mobility and to discuss some workable solutions to these challenges. Finally, based on this discussion, we propose paths for future smart human mobility researches.

Rapid development of distributed applications using high-level communication support

2011 ◽  
Vol 34 (1) ◽  
pp. 172-182 ◽  
Author(s):  
Mingyu Lim ◽  
Bart Kevelham ◽  
Niels Nijdam ◽  
Nadia Magnenat-Thalmann
Keyword(s):  
Rapid Development ◽  
Distributed Applications ◽  
Communication Support ◽  
High Level

Research on Sensing Detection Technology in the Automotive Electronic Program Design

2013 ◽  
Vol 380-384 ◽  
pp. 613-617
Author(s):  
Li Luo
Keyword(s):  
Program Design ◽  
Rapid Development ◽  
Field Research ◽  
Scientific Basis ◽  
Electronic Control ◽  
Automotive Electronic ◽  
Detection Technology ◽  
Electronic Control System ◽  
Safety And Reliability ◽  
Automobile Electronic

with the rapid development of information technology, the deepening of sensing detection and automobile electronic technology, the safety and reliability of vehicle electronic control has been the core problem to be solved in the automotive electronic control system. Sensor detection technology has become an important part of the development of automotive technology. This paper first analyzes the automobile electronic detection technology and sensing detection applications. Based on this, the theoretical framework principle model of automotive electronic software program design has been further deepened, so as to take the electronic program design of automotive anti-collision radar as the empirical analysis example. Finally, the optimization of automotive electronic program software design provides scientific basis and practice way to a certain extent in this field research.

scholarly journals High-Level Carbapenem Resistance in OXA-232-Producing Raoultella ornithinolytica Triggered by Ertapenem Therapy

2019 ◽  
Vol 64 (1) ◽  
Author(s):  
Alina Iovleva ◽  
Roberta T. Mettus ◽  
Christi L. McElheny ◽  
Marissa P. Griffith ◽  
Mustapha M. Mustapha ◽  
...  
Keyword(s):  
Rapid Development ◽  
Carbapenem Resistance ◽  
Resistant Isolate ◽  
Clinical Microbiology Laboratory ◽  
Loss Of Function ◽  
Content Type ◽  
Carbapenem Resistant ◽  
Class D ◽  
Fold Reduction ◽  
High Level

ABSTRACT OXA-232 is an OXA-48-group class D β-lactamase that hydrolyzes expanded-spectrum cephalosporins and carbapenems at low levels. Clinical strains producing OXA-232 are sometimes susceptible to carbapenems, making it difficult to identify them in the clinical microbiology laboratory. We describe the development of carbapenem resistance in sequential clinical isolates of Raoultella ornithinolytica carrying blaOXA-232 in a hospitalized patient, where the ertapenem MIC increased from 0.5 μg/ml to 512 μg/ml and the meropenem MIC increased from 0.125 μg/ml to 32 μg/ml during the course of ertapenem therapy. Whole-genome sequencing (WGS) analysis identified loss-of-function mutations in ompC and ompF in carbapenem-resistant isolates that were not present in the initial carbapenem-susceptible isolate. Complementation of a carbapenem-resistant isolate with an intact ompF gene resulted in 16- to 32-fold reductions in carbapenem MICs, whereas complementation with intact ompC resulted in a 2-fold reduction in carbapenem MICs. Additionally, blaOXA-232 expression increased 2.9-fold in a carbapenem-resistant isolate. Rapid development of high-level carbapenem resistance in initially carbapenem-susceptible OXA-232-producing R. ornithinolytica under selective pressure from carbapenem therapy highlights the diagnostic challenges in detecting Enterobacteriaceae strains producing this inefficient carbapenemase.

The Infection of the ventriculus of the adult honeybee by Nosema apis (Zander)

Parasitology ◽  
1955 ◽  
Vol 45 (1-2) ◽  
pp. 86-94 ◽  
Author(s):  
L. Bailey
Keyword(s):  
Calcium Phosphate ◽  
Central Region ◽  
Polar Filament ◽  
Rapid Development ◽  
Nosema Apis ◽  
Anaerobic Conditions ◽  
Free Living ◽  
Initial Infection ◽  
High Level

1. Spores of Nosema apis nearly all germinate within 30 min. after entering the ventriculus of the honeybee.2. The cause of germination in vivo remains unknown, but is probably not a change of osmotic pressure or pH and is probably not due to anaerobic conditions or an enzyme. The agent causing germination is probably unstable and is destroyed when removed from the bee.3. The anterior end of the ventriculus receives an initial heavy infection and the circumstantial evidence which this provides supports the theory that a free living ‘planont’ stage does not exist but that the parasite is injected directly into the host cell from the spore via the hollow polar filament.4. The central region of the ventriculus which contains many granules of calcium phosphate receives the lowest initial infection. It is considered possible that the granules inhibit the initial rapid development of the parasite by maintaining an unfavourably high level of pH until they are eventually dissolved by the slowly developing organism.

scholarly journals Source Detection with Interferometric Datasets

2011 ◽  
Vol 7 (S285) ◽  
pp. 414-416
Author(s):  
Cathryn M. Trott ◽  
Randall B. Wayth ◽  
Jean-Pierre R. Macquart ◽  
Steven J. Tingay
Keyword(s):  
Paradigm Shift ◽  
Large Range ◽  
Matched Filter ◽  
Large Data ◽  
Radio Sources ◽  
Source Detection ◽  
Data Rates ◽  
Automated Algorithms ◽  
Performance Results ◽  
Short Time

AbstractThe detection of sources in interferometric radio data typically relies on extracting information from images, formed by Fourier transform of the underlying visibility dataset, and CLEANed of contaminating sidelobes through iterative deconvolution. Variable and transient radio sources span a large range of variability timescales, and their study has the potential to enhance our knowledge of the dynamic universe. Their detection and classification involve large data rates and non-stationary PSFs, commensal observing programs and ambitious science goals, and will demand a paradigm shift in the deployment of next-generation instruments. Optimal source detection and classification in real time requires efficient and automated algorithms. On short time-scales variability can be probed with an optimal matched filter detector applied directly to the visibility dataset. This paper shows the design of such a detector, and some preliminary detection performance results.

scholarly journals Quick and efficient approach to develop genomic resources in orphan species: Application in Lavandula angustifolia

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0243853
Author(s):  
Berline Fopa Fomeju ◽  
Dominique Brunel ◽  
Aurélie Bérard ◽  
Jean-Baptiste Rivoal ◽  
Philippe Gallois ◽  
...  
Keyword(s):  
Large Scale ◽  
De Novo ◽  
Rapid Development ◽  
Genetic Distances ◽  
Lavandula Angustifolia ◽  
Distance Analysis ◽  
Alternative Medicines ◽  
Dna And Rna ◽  
Snp Development ◽  
High Level

Next-Generation Sequencing (NGS) technologies, by reducing the cost and increasing the throughput of sequencing, have opened doors to generate genomic data in a range of previously poorly studied species. In this study, we propose a method for the rapid development of a large-scale molecular resources for orphan species. We studied as an example the true lavender (Lavandula angustifolia Mill.), a perennial sub-shrub plant native from the Mediterranean region and whose essential oil have numerous applications in cosmetics, pharmaceuticals, and alternative medicines. The heterozygous clone “Maillette” was used as a reference for DNA and RNA sequencing. We first built a reference Unigene, compound of coding sequences, thanks to de novo RNA-seq assembly. Then, we reconstructed the complete genes sequences (with introns and exons) using an Unigene-guided DNA-seq assembly approach. This aimed to maximize the possibilities of finding polymorphism between genetically close individuals despite the lack of a reference genome. Finally, we used these resources for SNP mining within a collection of 16 commercial lavender clones and tested the SNP within the scope of a genetic distance analysis. We obtained a cleaned reference of 8, 030 functionally in silico annotated genes. We found 359K polymorphic sites and observed a high SNP frequency (mean of 1 SNP per 90 bp) and a high level of heterozygosity (more than 60% of heterozygous SNP per genotype). On overall, we found similar genetic distances between pairs of clones, which is probably related to the out-crossing nature of the species and the restricted area of cultivation. The proposed method is transferable to other orphan species, requires little bioinformatics resources and can be realized within a year. This is also the first reported large-scale SNP development on Lavandula angustifolia. All the genomics resources developed herein are publicly available and provide a rich pool of molecular resources to explore and exploit lavender genetic diversity in breeding programs.

scholarly journals Analisis Pengaruh Penggunaan Facebook Bagi Mahasiswa dan Hubungannya dengan Gangguan Kecanduan Facebook

2019 ◽  
Vol 3 (3) ◽  
pp. 167
Author(s):  
Ronal Watrianthos ◽  
Ibnu Rasyid Munthe ◽  
Rahma Muti’ah
Keyword(s):  
Social Networking Sites ◽  
Leisure Time ◽  
Online Survey ◽  
Rapid Development ◽  
Empirical Studies ◽  
Internet Users ◽  
Spss Software ◽  
Facebook Addiction ◽  
High Level ◽  
Almost All

Along with the rapid development of Social Networking Sites (SNS), social media, recently, has become a lifestyle for many people around the world, including in Indonesia. The data in January 2018 showed that in Indonesia out of 132.7 million internet users, almost all (131 million), or up 23% from the data in 2017, were Facebook users with the dominance of 18-24 years old, 35% of whom were the highest active users. The rapid growth of Facebook users annually in Indonesia, especially in the age of students and college students, encourages researchers to conduct many empirical studies of Facebook use among students. There is a tendency for using Facebook continuously to create FAD effects (Facebook Addiction Disorder) among students and can affect the spirit of learning. This study also discusses what is the motivation for using Facebook and seeing the potential for FAD to occur. In this study, an online survey over 375 respondents from several students in Labuhanbatu District was conducted. To explore respondents' motives in using Facebook, respondents were given questions that were divided into the following five motives: social interaction, leisure time, entertainment, friends, and communication. While to look for potential addiction, respondents were given questions using the Bergen Facebook Addiction (BFAD) scale. In getting a connection between the motives for using Facebook and Facebook Addiction, the data was tested by analysis of variants (ANOVA) and partial tests using SPSS software. The results obtained were 65.8% of participants were at a moderate level, while 20.3% were at a low level, and only 13.9% of participants were at a high level. While the most significant motive affecting respondents in using Facebook is the motive to fill the time and motives for communicating.

scholarly journals AutoCAD Civil 3D 2010 with Hydraflow Extension

1970 ◽  
Vol 66 (2) ◽  
Author(s):  
Irina GRIGORE ◽  
Severin CAZANESCU ◽  
Raluca Alexandra CAZANESCU
Keyword(s):  
Food Production ◽  
Climate Changes ◽  
Computing Time ◽  
Land Development ◽  
Rainfall Runoff ◽  
Software Application ◽  
Droughts And Floods ◽  
Drinkable Water ◽  
High Level ◽  
Short Time

In our days, communities have to face high level of water and food consumption based on uncertain supplies and growing demands. Thus, they work to prevent floods, soil erosion, to supply fresh water for population, industry and irrigation and to redirect streams and rivers in order to increase the food production. On the other hand, climate changes increased the frequency of extreme events like droughts and floods, and water management became a matter of great concern, in order to protect and preserve fertile land and drinkable water resources. Powerful software are needed to help environmental specialists to develop reliable projects for sustainable land development, in a short time. In the present paper, we will briefly present AutoCAD Civil 3D 2010, the most powerful software application released by Autodesk Inc., a short time ago. Using AutoCAD Civil 3D 2010 components together with new set of extensions, named Hydraflow Extension, land development specialists can deal with a large variety of hydrologic and hydraulic aspects, such as delineating watersheds and drainage areas and computing time of concentration and other rainfall-runoff relationship for the designated basins.

scholarly journals A feature fusion deep-projection convolution neural network for vehicle detection in aerial images

PLoS ONE ◽  
2021 ◽  
Vol 16 (5) ◽  
pp. e0250782
Author(s):  
Bin Wang ◽  
Bin Xu
Keyword(s):  
Neural Network ◽  
Feature Fusion ◽  
Rapid Development ◽  
Vehicle Detection ◽  
Convolution Neural Network ◽  
Aerial Images ◽  
Semantic Features ◽  
General Object ◽  
High Level ◽  
The Impact

With the rapid development of Unmanned Aerial Vehicles, vehicle detection in aerial images plays an important role in different applications. Comparing with general object detection problems, vehicle detection in aerial images is still a challenging research topic since it is plagued by various unique factors, e.g. different camera angle, small vehicle size and complex background. In this paper, a Feature Fusion Deep-Projection Convolution Neural Network is proposed to enhance the ability to detect small vehicles in aerial images. The backbone of the proposed framework utilizes a novel residual block named stepwise res-block to explore high-level semantic features as well as conserve low-level detail features at the same time. A specially designed feature fusion module is adopted in the proposed framework to further balance the features obtained from different levels of the backbone. A deep-projection deconvolution module is used to minimize the impact of the information contamination introduced by down-sampling/up-sampling processes. The proposed framework has been evaluated by UCAS-AOD, VEDAI, and DOTA datasets. According to the evaluation results, the proposed framework outperforms other state-of-the-art vehicle detection algorithms for aerial images.

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