data-transfer operations

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English. Operating manual HD HD ph meters / thermometers. Keep for future reference. Companies / Brands of GHM

English. Operating manual HD HD ph meters / thermometers. Keep for future reference. Companies / Brands of GHM

4) Print and log interval : sets the interval in seconds between two loggings or data transfers to the serial port. The interval can be set at 0, 1s, 5s, 10s, 15s, 30s, 60s (1min), 120s (2min), 300s (5min), 600s (10min), 900s (15min), 1200s (20min), 1800s (30min) and 3600s (1hour). If the value 0 is set, SERIAL works on command: the sending of data to the serial port is performed each time the key is pressed . Recording (LOG) is performed with one sec- ond intervals even if the interval is set to 0. With an interval from 1 to 3600s, continuous da- ta transfer is started when the SERIAL key is pressed. To end the recording (LOG) and con- tinuous data transfer operations (SERIAL with an interval greater than 0), press the same key again.
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A78138759 SGM2 System HW pdf

A78138759 SGM2 System HW pdf

In other words instead of relying on a unique input/output' channel shared by all 1/0 devices for data transfer operations and very simple device controller specific for each device, it [r]

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Data Transfer between Flash Drives without Using a Computer

Data Transfer between Flash Drives without Using a Computer

The Raspberry Pi is a microcontroller board based on the ARM. It comes with a 1.2 GHz ARM Cortex processor. It consists of 1 GB Ram. It has 4 USB port, 2 of which will be used by the pen drives. It requires 4 W power supply to get operated. CPU speed ranges from 700 MHz to 1.2 GHz and on board memory ranges from 256 MB to 1 GB Secure Digital cards are used to store the operating system and program in either SDHC or Micro SDHC size. The raspberry pi 3 also comes with a Wi-Fi technology built in. It can be used to network the raspberry pi externally. It also consists of a HDMI port.This board is used for performing different data transfer operations which is operated by mounting a LCD screen on the Raspberry Pi board. Which contains Rx and Tx that acts as a receiver and transmitter pins respectively.
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Prevalence of Failure of Passive Transfer of Immunity in Dairy Calves in the Czech Republic

Prevalence of Failure of Passive Transfer of Immunity in Dairy Calves in the Czech Republic

the  spring and summer months (35.4 % – 43.8 %). Also, in the study of Morin et al. (2001), the month of calving markedly affected the colostrum quality (specifically colostral specific gravity values), with the  highest values occurring in autumn and the  lowest values in summer. These findings correspond to the  hypothesis that high ambient temperature during late pregnancy is associated with poorer colostrum composition and therefore worse maternal immunity transfer to the  calves (Godden, 2008). The  main causes of higher occurrence of FPT are low quality of colostrum and colostrum feeding pattern. Taken into account our survey of colostrum quality in Czech dairy herds (Staněk et al., 2017a), where we found the highest IgG content in the  colostrum in autumn and winter (significant difference in comparison with spring) we can say that colostrum quality was not the reason for the higher prevalence of FPT in winter in this study. We assume that main reason was the  failure of human factor and the  feeding pattern, probably less comfortable work during the  hard winter months and thus worse care for the newborn calves.
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Simplifying Data Recovery with Advance Techniques and Operations

Simplifying Data Recovery with Advance Techniques and Operations

So for above cases, Advance Data recovery tools like PC3000UDMA, EDR Tools’ FLAME, MRT PRO are used to repair the firmware, modules, SA (Service area) issues and calibrate weak-head issue by selecting working heads only. Fig.5 shows workflow model of these tools. E.g. PC3000 UDMA has 2 sections Utility and Data extractor. The repairing of firmware/ modules errors is done as per the manual of every company of Harddisk. Mostly the 3rd port on harddisk i.e. Terminal is used to communicate with harddisk PCB. There are a number of errors for various models of Harddisk. The commands and utility functions are different for every model.
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Algorithm of arithmetical operations with fuzzy numerical data

Algorithm of arithmetical operations with fuzzy numerical data

If XºYºZ, then it exists a binary operation w, which is defined on X. Such operation can be "min", "max", or arithmetic operations from interval mathematics. If as operation w use operation "max", therefore fuzzy measure g(×) is result of Н - union operation above fuzzy measures g 1 and g 2 . Let Н - operations are designated so:

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Big data for smart operations and maintenance of buildings

Big data for smart operations and maintenance of buildings

The massive volume of the captured data from intelligent buildings and cities such as: energy consumption, building occupancy levels, user comfort, traffic intensity, economic activity, and people happiness needs highly sophisticated analytic techniques. In addition to the usefulness of the captured data for buildings operation and maintenance, this data helps designers when working on new buildings. A major current challenge for such usefulness is how this unstructured data can be integrated with BIM systems which can currently hold huge structured data only about buildings. This combined data with the analytic tools help in creating what is called ‘knowledge societies’, in which, data security becomes a challenge for many organisations.
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02 Primitive Data Types and Operations pdf

02 Primitive Data Types and Operations pdf

// ComputeChange.java: Break down an amount into smaller units public class ComputeChange { // Main method public static void mainString[] args { double amount; // Amount entered from th[r]

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ddb06.pdf

ddb06.pdf

• Query decomposition and data localization maps calculus query into algebra operations and applies data distribution information to the algebra operations. • Query decomposition consist[r]

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Note on Three Classes of Data Grid  Operations

Note on Three Classes of Data Grid Operations

A third aspect of data that is emerging is its decentralization. Data are dispersed across the communication network, accessible through heterogeneous protocols, stored under autonomous administrative management, controlled by privacy, security and authorization policies, and replicated and backed up in multiple locations. Performing computation in such a milieu needs an understanding of the whole network as a “computer”. Com- putation has to be dispersed to the locality of the data. Data need to be streamed from sources to analysis stations to archives, through source-to sink streamlined parallel data transfers. Sharded, torrential data transfers through strategic caching and staging facilities are needed to achieve optimal performance in this global computational platform. A new look at how to share knowledge across the computing, storage, application and service systems through unifying networking, identification systems, and authorization systems is very much needed. Increasing computational awareness between the network world and the data management world (in both directions) is a shift in paradigm that is being spearheaded by emerging software defined networks.
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ch16 Data Transfer pdf

ch16 Data Transfer pdf

A DataFlavor represents a format in which data can be transferred. The DataFla- vor class includes two common data flavors; you can create other flavors by extend- ing this class. Flavors are essentially MIME content types and are represented by the standard MIME type strings. An additional content subtype has been added to rep- resent Java classes; the content type of a Java object is: *

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Funds Transfer Operations: Boon or Bane to the Viability of Rural Financial Intermediaries?

Funds Transfer Operations: Boon or Bane to the Viability of Rural Financial Intermediaries?

Datafrom this study were obtained from the Comparative Bank Study Questionnaire which was administered to a sample of rural financial in- stitutions consisting of 38 branches of commerci[r]

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A Few Good Knowledge Transfer  Mechanisms: Keys to Successful Military Operations

A Few Good Knowledge Transfer Mechanisms: Keys to Successful Military Operations

Military exercises conclude with the debriefing sessions. These are high-quality knowledge transfer vehicles. Bartone and Adler (1995) clarify, “the Event-Oriented after Action Debriefing is a factual review of events, and individual and unit reactions to those events. It is an opportunity to sit down with fellow soldiers, reconsider what occurred, and draw lessons for the future” (p. 2). Further, they continue by analytically explaining it as a knowledge transfer media “in the process of reviewing events, feelings may be expressed and problems may be defused. The main point of the Debriefing is to review the chronology of events, to give soldiers an opportunity to clear up any confusion, and to facilitate a healthy cognitive reframing and integration of their experiences” (p. 2) .
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STATISTICS FOR RETAIL JEWELLERS. Retail Statistics Software for your branch network. SucceSS

STATISTICS FOR RETAIL JEWELLERS. Retail Statistics Software for your branch network. SucceSS

The software uses a „Microsoft SQL Server 2012“ database.Your retail operations transfer their data, daily, via internet to an Internet server which collates all sales operations infor[r]

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The Hitchhikers Guide to Data Center Facility Operations

The Hitchhikers Guide to Data Center Facility Operations

As-built documentation, even where it exists and is accurate, is a static picture of the facility at a single point in time. Accurate, up-to-date record drawings are vital to safe and reliable facility operations. Seemingly simple or obvious information such as equipment lists, scopes of work for equipment maintenance and maintenance schedules are frequently missing, inaccurate or inadequate. Since this is foundational information needed for a comprehensive maintenance program, incorrectly assuming that it has been properly collected and

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Data Transfer Implementation in the Wireless Capsule Endoscopy

Data Transfer Implementation in the Wireless Capsule Endoscopy

regarded as an indirect sign of an error in image transmission over the air. The transition from BER to the images was carried out deliberately, because the images are the result of the system performance. The first experiment involved the transfer of the images without using the checksum and noiseless coding. The results are shown in Table 3.

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Design and Implementation of Energy efficient MAC Layer for Indoor Real Time Localization Systems

Design and Implementation of Energy efficient MAC Layer for Indoor Real Time Localization Systems

Once the synchronization phase is completed the next phase will be data transfer phase, in the data transfer phase ,the first slot number is given to the movable device (tag), which broadcast TDOA signal which is received by the by the anchors ,then the anchors will sent to the coordinator when its time (slot number ) reaches, after the coordinator receives all the four TDOA messages including the tag TDOA message it will pass it to the position server to which the position is re-calculated.

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Big data for smart operations and maintenance of buildings

Big data for smart operations and maintenance of buildings

The massive volume of the captured data from intelligent buildings and cities such as: energy consumption, building occupancy levels, user comfort, traffic intensity, economic activity, and people happiness needs highly sophisticated analytic techniques. In addition to the usefulness of the captured data for buildings operation and maintenance, this data helps designers when working on new buildings. A major current challenge for such usefulness is how this unstructured data can be integrated with BIM systems which can currently hold huge structured data only about buildings. This combined data with the analytic tools help in creating what is called ‘knowledge societies’, in which, data security becomes a challenge for many organisations.
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Crowdsourced Data for Traffic Operations Jeff Adler

Crowdsourced Data for Traffic Operations Jeff Adler

• How can agencies use SWOT Analysis to strategize projects for integrating crowdsourced data into their real-time operations.. Wh t f ff ti b d t id l.[r]

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Fire Operations Assessment and Data Analysis

Fire Operations Assessment and Data Analysis

This staffing approach is certainly not specific to AAFD. The same is evident in any fire deployment strategy using a twenty-four shift schedule. ICMA data analysis observed that hourly busy minutes for fire and EMS calls within the City of Ann Arbor were lowest between 2 a.m. and 8 a.m., averaging fewer than 11.1 minutes per hour. Does an opportunity exist for using the information formulated from this demand analysis to develop alternative resource deployment strategies in the future? Absolutely! The question is: Will it be used? This brings us to the other concept in local suppression considerations, that of ―capacity.‖
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