scholarly journals A New on-Demand Recharging Strategy Based on Cycle-Limitation in a WRSN

Symmetry ◽  
2019 ◽  
Vol 11 (8) ◽  
pp. 1028 ◽  
Author(s):  
Yuhou Wang ◽  
Ying Dong ◽  
Shiyuan Li ◽  
Ruoyu Huang ◽  
Yuhao Shang
Keyword(s):  
Data Acquisition ◽  
Data Model ◽  
Rapid Development ◽  
Data Gathering ◽  
Sensor Nodes ◽  
Time Period ◽  
Wireless Rechargeable Sensor Networks ◽  
Set Up ◽  
Charging Efficiency ◽  
Acquisition Cycle

Recently, Wireless Rechargeable Sensor Networks (WRSNs) have been attracting increasing attention and seen rapid development. However, in previous studies, pioneering work on charging issues and data gathering strategies are always discussed separately. In this paper, we aimed to develop a strategy which can guarantee a short data acquisition cycle and high charging efficiency. We used a new Combined Recharging and Collecting Data Model (CRCM) to set-up a WRSN. In this network, mobile chargers were used to separately collected data and charge sensor nodes. A K-means algorithm was used to group sensor nodes into different clusters, from which mobile chargers collected data from sensor nodes in the center of these clusters. The Nearest-Job-Next with Preemption (NJNP) algorithm was used to determine the charging route. The data acquisition cycle was first discussed in this model in order to ensure all data from the sensor nodes could be gathered within a certain time period. Additionally, the Periodically Restricted Dynamic Mobile Chargers (PRDMCs) algorithm was proposed to determine the number of mobile chargers. Lastly, we used the normal CRCM for comparison with our new CRCM, and the results showed that the new CRCM can effectively safeguard the data acquisition cycle without requiring the addition of more mobile chargers.

scholarly journals Condensation/immersion mode ice-nucleating particles in a boreal environment

2020 ◽  
Vol 20 (11) ◽  
pp. 6687-6706
Author(s):  
Mikhail Paramonov ◽  
Saskia Drossaart van Dusseldorp ◽  
Ellen Gute ◽  
Jonathan P. D. Abbatt ◽  
Paavo Heikkilä ◽  
...  
Keyword(s):  
Field Campaign ◽  
Particle Species ◽  
Entire Field ◽  
Time Period ◽  
Regional Sources ◽  
Range Transport ◽  
Thermodynamic Conditions ◽  
Set Up ◽  
Boreal Environment ◽  
Measurement Location

Abstract. Ice-nucleating particle (INP) measurements were performed in the boreal environment of southern Finland at the Station for Measuring Ecosystem–Atmosphere Relations (SMEAR II) in the winter–spring of 2018. Measurements with the Portable Ice Nucleation Chamber (PINC) were conducted at 242 K and 105 % relative humidity with respect to water. The median INP number concentration [INP] during a 6-week measurement period was 13 L−1. The [INP] spanned 3 orders of magnitude and showed a general increase from mid-February until early April. No single dominant local or regional sources of INPs in the boreal environment of southern Finland could be identified. Rather, it is hypothesised that the INPs detected at SMEAR II are a result of long-range transport and dilution of INPs sourced far from the measurement site. Despite high variability, the measured [INP] values fall within the range expected for the [INP] measured elsewhere under similar thermodynamic conditions. The [INP] did not correlate with any of the examined parameters during the entire field campaign, indicating that no one single parameter can be used to predict the [INP] at the measurement location during the examined time period. The absence of a correlation across the entire field campaign also suggests that a variety of particles act as INPs at different times, although it was indirectly determined that ambient INPs are most likely within the size range of 0.1–0.5 µm in diameter on average. On shorter timescales, several particle species correlated well with the [INP]. Depending on the meteorological conditions, black carbon (BC), supermicron biological particles and sub-0.1 µm particles, most likely nanoscale biological fragments such as ice-nucleating macromolecules (INMs), correlated with the INP signal. However, an increase in the concentration of any of these particle species may not necessarily lead to the increase in the [INP]; the reasons for this remain unknown. Limitations of the instrumental set-up and the necessity for future field INP studies are addressed.

Design and Implement of Data Acquisition System Based on Reconfigurable Computing

2012 ◽  
Vol 546-547 ◽  
pp. 1393-1397
Author(s):  
Zhi Wen Xiong ◽  
Chen Guang Xu ◽  
Hong Zeng
Keyword(s):  
Data Processing ◽  
Data Acquisition ◽  
Reconfigurable Computing ◽  
Rapid Development ◽  
Physical Property ◽  
Data Acquisition System ◽  
Digital System ◽  
Working Environment ◽  
Acquisition System ◽  
Computing Technology

Data acquisition begins with the physical phenomenon or physical property to be measured. Examples of this include temperature, gas pressure, and light intensity, and force, fluid flow, regardless of the type of physical property to be measured. Physical property converted into digital, and then by the computer for storage, processing, display or printing process, the corresponding system is called data acquisition system. With the rapid development of computer technology, data acquisition systems quickly gained popularity. A variety of products based on digital technology have been created. Digital System spread quickly; it’s mainly the following two advantages: the first is the digital processing flexible and convenient; the second is a digital system is very reliable. The main idea of Reconfigurable computing technology [1] is using the FPGA [2][3] allows the system has a dynamically configurable capacity, suitable for harsh environment applications, improve the speed of data processing. By the use of dynamic reconfigurable FPGA devices can be realized on the hardware logic function modification, application of reconfigurable computing technology can improve the speed of data processing. Data acquisition system is widely applied in many fields, and often used the abominable working environment place. The reconfigurable computing technology, can greatly improve the data acquisition system reliability and safety. The paper introduces a kind of multi-channel data acquisition system based on USB bus and FPGA, the factors affecting the performance of system are discussed, and describes how to use reconfigurable computing technology to improve the efficiency of data acquisition system while reduce energy consumption. The system in this paper uses AD's AD9220, ALTERA's EP1C6-8 and IDT's IDT70V24, Cypress’s CY7C68013.

Streamlining Chinese Highway Accident Data Acquisition, Communications, and Analysis

2003 ◽  
Vol 1846 (1) ◽  
pp. 31-38 ◽  
Author(s):  
Ping Yi ◽  
Bin Ran
Keyword(s):  
Data Acquisition ◽  
Large Data ◽  
Highway Safety ◽  
Data Mapping ◽  
Data Logger ◽  
Safety Program ◽  
Crash Data ◽  
Accident Data ◽  
Analysis System ◽  
Set Up

This research examines a streamlined accident data acquisition, communications, and analysis system to improve the Chinese highway safety program. A data logger compatible with the Global Positioning System and geographic information system is proposed to identify highway accident locations and organize the data into a database format. A data encoding concept is used to transform Chinese characters into numbers, so that the encoded data are easy to integrate into a large data system. A three-tier client–server networking system is set up as the backbone framework for data communications between the central database and distributed local offices. Using local database functions, traffic police at the client level can view crash data through data mapping and attribute listing and analyze the data through nested query and sorting operations. A data graphing and analysis module was tested for automatically constructing a collision diagram on selected data. The proposed approach to crash data acquisition and analysis was found to be feasible and effective and will help to enhance China’s highway safety program after full implementation.

scholarly journals Development of COVID-19 vaccines utilizing gene therapy technology

2021 ◽  
Author(s):  
Hironori Nakagami
Keyword(s):  
Viral Vectors ◽  
High Efficiency ◽  
Genetic Disorders ◽  
Rapid Development ◽  
Adenovirus Vector ◽  
Phase 3 ◽  
Double Blind ◽  
Time Period ◽  
Short Period ◽  
Long Time

Abstract There is currently an outbreak of respiratory disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Coronavirus disease 2019 (COVID-19) is caused by infection with SARS-CoV-2. Individuals with COVID-19 have symptoms that are usually asymptomatic or mild in most initial cases. However, in some cases, moderate and severe symptoms have been observed with pneumonia. Many companies are developing COVID-19 vaccine candidates using different technologies that are classified into four groups (intact target viruses, proteins, viral vectors and nucleic acids). For rapid development, RNA vaccines and adenovirus vector vaccines have been urgently approved, and their injection has already started across the world. These types of vaccine technologies have been developed over more than 20 years using translational research for use against cancer or diseases caused by genetic disorders but the COVID-19 vaccines are the first licensed drugs to prevent infectious diseases using RNA vaccine technology. Although these vaccines are highly effective in preventing COVID-19 for a short period, safety and efficiency evaluations should be continuously monitored over a long time period. As the time of writing, more than 10 projects are now in phase 3 to evaluate the prevention of infection in double-blind studies. Hopefully, several projects may be approved to ensure high-efficiency and safe vaccines.

Research on Multimedia Sports Humanistic Information Systems

2014 ◽  
Vol 926-930 ◽  
pp. 2706-2709
Author(s):  
Ming Wen Hu
Keyword(s):  
Information System ◽  
Information Systems ◽  
Program Implementation ◽  
Social Life ◽  
Technology Development ◽  
Rapid Development ◽  
Development Environment ◽  
Sports Culture ◽  
The Core ◽  
Set Up

With the rapid development of social productive forces and increasingly higher level of social life, the sports humanity as the core spirit of sports culture in informational times, which is the sum of the psychological aspects of sports culture from the cultural spirit. Its essence is the pursuit of truth, good and beautiful as the core values and ideals, people's healthy development as the ultimate goal. This paper discusses basic mode ,the basic framework of the multimedia sports humanistic information system, the processing technology, development environment ,tools and methods . Through the analysis program implementation elements and design ideas of multimedia sports humanistic information system, in order to set up multimedia sports humanistic information systems, we proposes a viable framework and models with a theoretical basis and practical value.

Accuracy assessment of a mobile terrestrial laser scanner for tree crops

2017 ◽  
Vol 8 (2) ◽  
pp. 178-182 ◽  
Author(s):  
F. H. S. Karp ◽  
A. F. Colaço ◽  
R. G. Trevisan ◽  
J. P. Molin
Keyword(s):  
Data Acquisition ◽  
Spatial Data ◽  
Accuracy Assessment ◽  
Laser Scanner ◽  
Terrestrial Laser Scanner ◽  
Tree Crops ◽  
Area Estimation ◽  
Gnss Receiver ◽  
Truncated Cone ◽  
Set Up

LiDAR technology is one option to collect spatial data about canopy geometry in many crops. However, the method of data acquisition includes many errors related to the LiDAR sensor, the GNSS receiver and the data acquisition set up. Therefore, the objective of this study was to evaluate the errors involved in the data acquisition from a mobile terrestrial laser scanner (MTLS). Regular shaped objects were scanned with a developed MTLS in two different tests: i) with the system mounted on a vehicle and ii) with the system mounted on a platform running over a rail. The errors of area estimation varied between 0.001 and 0.071 m2 for the circle, square and triangle objects. The errors on volume estimations were between 0.0003 and 0.0017 m3, for cylinders and truncated cone.

scholarly journals A Study of Indian Derivatives Market and its Current Position in Global Financial Derivatives Market

2021 ◽  
Vol 4 (1) ◽  
pp. 1-6
Author(s):  
S Sandra
Keyword(s):  
Commodity Prices ◽  
Financial Derivatives ◽  
Business Community ◽  
Price Risk ◽  
Current Position ◽  
Futures Trading ◽  
Time Period ◽  
The Status ◽  
Set Up ◽  
Derivative Market

Derivatives emerged as hedging instruments out of the need to control price risk. Earlier commodity prices were the sole concern of business community, and therefore, the derivatives on commodities were the first ones to emerge. The introduction of derivatives in India can be traced out in 1875, when the Bombay Cotton Trading Association Ltd was set up for futures trading in cotton. At present the markets for derivatives have been growing at a phenomenal pace. This paper traces the growth and current position of Indian derivatives market. Since its inception in June 2000, derivatives market has exhibited exponential growth both in terms of volume and number of contract traded. The market turnover has grown from Rs.24bn in 2000-01 to Rs. 2376tn in 2018-19. The present study is an effort to demonstrate the growth and expansion of derivatives in India during the time period 2010-11 to 2018-19. It also encompasses the scope, history, concept, types and growth of financial derivatives in India and the status of Indian derivatives market vis-à-vis global derivative market.

scholarly journals Gamma spectrometry technique for the determination of residence time in Submarine Groundwater Discharges

2019 ◽  
Vol 18 ◽  
pp. 155
Author(s):  
G. Eleftheriou ◽  
C. Tsabaris ◽  
D. L. Patiris ◽  
E. Androulakaki ◽  
M. Kokkoris ◽  
...  
Keyword(s):  
Residence Time ◽  
Water Samples ◽  
Gamma Ray ◽  
Measuring System ◽  
Gamma Ray Spectrometry ◽  
Reference Source ◽  
Radium Isotopes ◽  
Time Period ◽  
Submarine Groundwater ◽  
Set Up

The evaluation of time period that meteoric water remains in the ground (residence time) before exiting in the open sea can be a valuable information for the submarine groundwater discharges (SGD) in the costal zones. Coastal waters contain elevated dissolved activities of radium isotopes compared to the open ocean, where excess activities are zero. Lately it has been shown by Moore et al., that residence time can be estimated by a model based on radium radioisotopes ratio reduction throughout the coast. However the standard methods for the estimation of radium isotopes concentration in the water are sophisticated, time consuming or require big amount of sample. Hereby, a method based on the direct gamma ray spectrometry of untreated water samples from coastal areas is applied to determine the residence time of the SGD. Efficiency calibration of the spectrometry set up has been performed for two different volumetric sample geometries, using 152Eu/154Eu solution as reference source. In order to ensure the reliability of the method, the background courting rate magnitude and variance through time have been defined for the radioisotopes of interest. Additionally, the minimum detectible activity (MDA) of the measuring system was determined, in Becquerel per cubic meter, as a function of energy in water samples. The developed method was applied and validated for water samples from the submarine spring in Stoupa Bay, southwestern Peloponnesus. The defined residence time varies from 3 to 6 days, being in good agreement with the results of the standard geological pigment-tracer method.

scholarly journals Existence and Exploitability of Financial Analysts' Informational Leadership

2016 ◽  
Vol 5 (2) ◽  
Author(s):  
Rainer Baule ◽  
Hannes Wilke
Keyword(s):  
Abnormal Returns ◽  
Relevant Information ◽  
Trading Strategies ◽  
Information Share ◽  
Time Period ◽  
The Us ◽  
Information Shares ◽  
Set Up ◽  
The One

This paper bridges two recent studies on the role of analysts to provide new and relevant information to investors. On the one hand, the contribution of analysts to long-term price discovery on the US market is rather low. Considering earnings per share forecasts as the main output of analysts’ reports, their information share amounts to only 4.6% on average. On the other hand, trading strategies set up on these EPS forecasts are quite profitable. Self-financing portfolios yield excess returns of more than 5% over the S&P 100 index for a time period of 36 years, which is persistent after controlling for the well-known risk factors. In this paper, we discuss the link between the low information shares and the high abnormal returns. We argue that information shares of analysts cannot be higher, because otherwise their forecasts would lead to excessively profitable trading strategies which are very unlikely to persist over such a long period of time.

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