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facility explorer manual

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facility explorer manualPage Count: 9 91173 The FX05 is a high performance controller with a powerful 16-bit microprocessor and state-of-the-art software that supports the precise control of a wide variety of mechanical and electrical equipment. The FX05 controller has 16 physical inputs and outputs and supports a wide range of temperature sensors and actuating devices. A seri es of converter modules extends the range of inputs to active sensors for the measurement of humidity, pressure, and other variables. The FX05 controller is fully programmable or configurable, using the FX Tools Pro software package, for a wide range of commercial environmental control applications. Figure 1: FX05 (Advanced) Controller Features and Benefits. Modular Communication Card Options Provides cost effective method for either stand-alone or networked capabilities. Optional Real-Time Clock Card Provides real-time scheduling of control activities for stand-alone applications. Freely Programmable or Configurable Using FX Tools Softw are Package Adapts to a wide range of HVAC or refrigeration control applications using the extensive programming f eatures of the FX Tools Pro software package. PT1000 (Standard and Extended Range), A99, or Negative Temperature Coefficient (NTC) Temperature Sensor Inputs Allows choice of temperature sensor according to the control range and application. Integrated User Interface Provides onboard user access to the controlled system. Several Output Configurations of Solid-State Triacs and Relay Contacts Gives flexibility in use of outputs for closed loop control or line voltage switching Code No. LIT-12011081 Software Release 1.0. A99 temperature ? PT1000 temperature (standard and extended). NTC 10 K temperature.Communication cards are easily plugged in to the back of the FX05. N2 Open Netw ork When fitted with an N2 Open Communication Card, the FX05 controller can be connected to an N2 Open compatible building automation system, allowing access to its control system v ariables.http://dopratae.com/userfiles/electrothermal-9200-manual.xml

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L ON W ORKS Netw ork When fitted with a L ON W ORKS Communication Card, the FX05 can be integrated into a L ON W ORKS compatible building automation system, allowing peer-to-peer communication with other L ON W ORKS compatible devices. Real-Time Clock Card For stand-alone applications, the FX05 can be fitted with a Real-Time Clock Card, allowing real-time functions to be programmed into the application based on a daily or weekly schedule. The real-time clock is battery backed with an average battery life of more than 2 years. Alarm Management The FX05 controller detects and displays alarms that are associated with up to 16 data points or variables in the control application. Active alarms may be vi ewed, acknowledged, or cl e ar ed v ia th e integrated user interface. Room Command Module The Room Command Module is designed for use with the FX Field Controllers, including the FX05. The pushbutton and LED indicator are configurable within the application. A typical application is to configure the pushbutton to allow initiation of temporary occupancy and the LED to provide system status indication. A three-speed fan override adjuster is also an available option. Figure 5: Room Command Module Dimensions, mm (in.) FX Tools Pro FX Tools is a software suite used to program, download, test, and commission the FX devices, including the FX05. FX Tools is available in two versions: FX Tools Express and FX Tools Pro. FX05 (Advanced) Field Controller Product Bulletin 3 Table 1: FX05 (Advanced) Field Controller Ordering Information Product Code Number Description LP-FX05P11-002C FX05 Controller with 3 A99 AIs, 1 NTC AI, 5 DI s, 6 relay DOs, 1 AO, no comm.Card, 1 set Molex Cable LP-FX05P12-012C FX05 Controller with 4 PT1000 std AIs, 5 DIs, 2 triac DOs, 3 interlocked relay s DOs, 1 free relay DO, 1 AO, no comm.LP-KIT006-005C Room Command module for FX05. LP-KIT006-006C Room Command module for FX05. Spare inputs must be connected to the common. Humidity, pressure, etc.http://fechart.com/userfiles/electrovert-bravo-8105-manual.xml AI4 A99 or PT1000 Extended or Linear See following table. Continued on next page... Double isolation between relay DO1 and the group DO2 to DO6 or between triacs DO1, DO2 and group DO3 to DO6. Any combination of loads on DO2 to DO6 or DO 3 to DO6 must not exceed 15 A. Max 5 A on the common terminals. Application: alarm output, and others. DO5 relays are physically interlocked (that is, only one output can be closed at one time). Application: 3-speed fan motors. The DO6 relay is free. Johnson Controls, In c. shall not be liable for damages resulting fr om misapplication or misuse of its products. In addition to the wide array of equipment we can offer, we also have a robust control contractor network, for support on one or more of our major product lines. Our corporate office harbors a wonderful training room to keep our customers up-to-date on new products, changes in the industry and even technician certifications. The FDM has been prepared by persons responsible for the planning, construction, and maintenance of university facilities. This information is provided to achieve quality campus structures requiring minimal maintenance and operating expense. You can either perform generic-level searching, or targeted searching through the use of saved search configurations. The latter allow you to search, with respect to your managed components, by a particular component type and also use ranged searching - a nice aspect of searching facilitated through unit-aware component parameter data types (supported through a referenced component template). Additionally, you can add a keyboard shortcut to your saved searches that allows you to quickly perform a search from wherever you are within the Explorer panel. Filters are supported for managed components only, and like the Manufacturer Part Search panel, the Components panel supports unit-aware (text to number) search filters.https://www.location-guide-saarland.de/fr/inhalt/dell-3300mp-manual As such, ranged searching functionality will not be available when connected to an Altium 365 Workspace with this level of access to Altium 365. This can be achieved by:A variety of predefined component types are available, with the ability to create new ones where needed. A number of unit-aware component parameter data types are supported. The view is comprised of three key elements, as shown in the following image and detailed thereafter. The view can also be accessed from the Folders view, by clicking the Search Results entry, within the Server Folders region (available after a search has been performed). Enter a search string and press Enter. These types of searches can target components by their type and also cater for enhanced searches based on the values of unit-aware parameters. This applies only to the current session of the design software. The New Search dialog will appear, in which to define the search. The drop-down listing includes all supported content types for the server (allowing other searches to be created based on other item types). All parameters detected for the Component content type will be listed. For each parameter, the following three options can be defined:It is through such a field that you can fine-tune your searches, based on value criteria stipulated for that parameter. Columns for parametric data can be hidden, or made visible at any stage, directly from the view. This is typically set in the referenced component template, but can manually be set in the Component Editor, while editing a component. Greater than and less than are inclusive. If you want the search private to only yourself, disable this option. The search will be saved as an entry under Generic Search in the Saved Searches region of the view. If any parameters have their option to Show Filter enabled, as part of the applied saved search, dedicated fields for those parameters will be available above the results list. The search has four parameters that have their Show Filter option enabled, so fields for those parameters are presented as part of the search interface. Click Yes in the subsequent confirmation dialog - the search will be removed from the listing of saved searches. Please access this site using a modern browser such as Safari 13 and higher or Chrome 80 and higher.Also, outlines the basic tools required for promoting a facility and its programmes and events. Also, looks at high risk issues such as serious harm, crowd management and emergencies. Also discussed are the purposes of evaluation and the evaluation process. It highlights some of the more important operational aspects of asset management such as managing energy use, and risk management. The pipeline uses high-throughput genome sequencing data as an input and performs graph-based clustering analysis of sequence read similarities to identify repetitive elements within analyzed samples. The analysis principles were described in Novak et al. (2010) and examples of its application can be found in a number of published papers (see Appendix). It should be noted that although the repeat identification algorithm generally works for any genome, some parts of the pipeline (e.g. protein domain-based classification of mobile elements) were primarily developed for application to plant genomics. However, there is a possibility to supply a custom repeat database to improve sensitivity in classification of non-plant repeats. The server uses only a small computer cluster for data analysis, therefore there are some restrictions imposed on its users in terms of available RAM, disc space and number of jobs run in parallel. The server can be used without registration, but it is recommended to set up a free account allowing the use of advanced features like data and workflow sharing. Users requiring more computational resources can set up their own instance of RepeatExplorer using its freely available source code. Consult installation instructions provided in Appendix. Only the tools directly needed to upload and process sequences for RepeatExplorer are covered in this manual. In other cases, please refer to the Galaxy wiki and help pages. Attention should be payed to principles of data sharing and the use of workflows, as these features are used to provide data samples and analysis templates related to the examples given below (Chapter 3). An overview of the RepeatExplorer tools and links between them is schematically represented in Appendix. BMC Bioinformatics 11: 378. Bioinformatics In case you encounter connection problems use ftp download described below. We recommend using FileZilla FTP client with host name set to repeatexplorer.umbr.cas.cz and server type set to FTPES. To logon, use your RepeatExplorer account username and password. Alternatively, a command line tool curl can be used. Select the files you wish to import and click on “Execute” button. Once imported, the files will be removed from the list. This tool also generate some information about file like file size and md5sum. Upon completion, login to your RepeatExplorer account using FTP client and download the file to your computer. This option is highly recommended for downloading all large output files, because their download via web browser can take a long time and download through webserver cannot be resumed. Please note that the tool is currently suitable for downloading single files only (e.g. compressed archives of clustering results). Alternatively, download file from ftp server use curl command which enable resume of download. To ensure that file was transferred correctly, check md5sum. Example of curl ftp download with resume: Enter the ENA accession number in the search window, locate the corresponding dataset and select download link in the “Galaxy” column. If such a file can be uploaded by the user, no pre-processing is required. However, data obtained from sequencing facilities or downloaded from public archives are usually in FASTQ format combining nucelotide sequence information with sequencing quality scores. Tools recommended for pre-processing FASTQ data are listed below (help on using these tools is provided below their input forms): Use Compute quality statistics, Draw quality score boxplot and Draw nucleotides distribution chart from the same toolbox to assess the quality of your data. It should be noted that due to its computational complexity the clustering procedure can take several days to finish, depending on the number of reads and repeat composition of analyzed samples. In extreme cases of genomes rich in certain types of repeats (e.g., satellite DNA), running time can be up to two weeks, whereas repeat-poor and small datasets are analyzed in several hours. To avoid exhausting available memory, repeat complexity of analyzed data is estimated before performing full-scale analysis using a small, randomly sampled subset of reads. If necessary, the number of reads in the dataset is then automatically reduced by random sampling (see analysis log file for information about eventual reduction of the dataset). However, it is still recommended to perform a test run with a small subset (e.g. 100,000) of reads before running any large-scale analysis. This threshold is explicitly set to 90 sequence similarity spanning at least 55 of the read length (in the case of reads differing in length it applies to the longer one). However, it can be modified by changing Minimum overlap length for clustering value (see below). There is a number of other adjustable parameters to be set based on your input data and analysis type: It is usually generated from raw sequence reads using Pre-processing tools. In that case it is crucial that the input file contains only complete read pairs and that both sequences from a pair are listed in succession. Please avoid using FASTQ interlacer located in NGS:QC and manipulation. This tools has high memory requiremtns and is suitable only when your paired sequences in two files are not in the same order. If you want to keep the original sequence names (not recommended), uncheck this option. However, in the case of using original names of paired-end reads it is required that the left and right mates are distinguished by the last character of the read name. It is also necessary that there are only complete pairs and left mates alternate with their right mates. If Rename sequences option is checked, this part of the read names will be preserved. This option is useful only for comparative analysis of multiple samples (should be set to “0” in other cases).It can be used to increase the default threshold which requires similarity over at least 55 of the read length. This option affects clustering but not assembly. The minimum size of clusters to be selected is defined as a proportion of the number of all analyzed reads (e.g., employing a default value of 0.01 with a dataset of 1,000,000 reads, all clusters containing at least 100 reads will be included).If possible, select one of the libraries specific for a group of organisms instead of searching a complete database (option “All”). It is also possible to completly omit RepeatMasker search against RepBase and use custom database insted. The database should be a single file containing DNA sequences in FASTA format.Default value of 40 can be increased for reads longer than 100 nt. Two of them, Log file and Contigs consist of single plain text files, whereas HTML summary and Archive with clustering results contain multiple folders and files that can be downloaded as zip archives. The content of the HTML summary output can also be directly viewed using “Display data in browser” option (an eye symbol). Below is a description of the most important files within output data. It is being updated during the run, thus it can be viewed to monitor analysis progress. Below, there is a table that lists various information for the largest clusters. Further details can be viewed for each cluster by following the link CLnumber. Below, we refer to each file by its path related to the seqClust directory: Upload a plain text file with lists of cluster numbers to be merged on separate lines, e.g.: The remaining clusters from the previous analysis will remain the same but their numbering will probably change (clusters will be re-numbered based on their size). It has been designed for analyzing contig sequences obtained from the clustering analysis; however, it can be applied to any multi-fasta file of DNA sequences provided they do not contain multiple domains of the same type. The analysis consists of three consecutive steps: The resulting alignment can be downloaded along with the tree in Newick format and HTML output including tree image. Although the examples use real sequence data as an input, these datasets were reduced in size for the sake of analysis speed, therefore providing lower sensitivity in repeat detection compared to analyzing larger volumes of sequence data. In addition, some aspects of downstream analyzes are covered only briefly and should be treated more thoroughly when performing real analysis. Each example history provides a record of finished analysis, including input data, output of individual analysis steps and parameters used to run the tools. Please read the annotations of individual steps in histories as they provide an explanation for the workflow. After importing, select “Edit” workflow in order to view its structure and eventually modify some parameters to suit your data. Input data used for all examples are provided as a separate history (“Input data for example histories”). Original raw sequencing data used for the examples are from whole genome shotgun sequencing of rye ( Secale cereale ) plants containing or lacking supernumerary B chromosomes (EBI SRA study ERP001061; Martis et al. 2012), and from pea ( Pisum sativum ) genome (SRA study ERP001104; Neumann et al. 2012). The dataset was prepared from sequencing rye plants containing B chromosomes. Two samples representing genome variants of rye (Secale cereale) differing in the presence (4B) or absence (0B) of supernumerary B chromosomes are processed in parallel and subsequently used for comparative analysis of their repeat composition. Datasets containing forward and reverse reads are processed separately, then combined and used for the clustering analysis. Installation of command line version is described in Apendix. RepeatExplorer is also vailable on Czech National Grid Infrastructure (see www.metacentrum.cz ). To use RepeatExplorer command line version in metacentrum type: It is likely that the real need of RAM will be bigger than specified as the read memory requiremnt are hard to predict. In metacentrum, jobs which use more resources than what was requested upon submission can be authomatically terminated. To avoid termination of running jobs, it is good idea to reserve 32 GB in qsub command but specify only 16 GB in seqclust-cmd.py. BMC Bioinformatics 11: 378. PLoS ONE 6: e27335. G3: Genes, Genomes, Genetics 1: 85-92. Genome Biol. Evol., 4: 575-585. PLoS ONE 7: e36963. PLoS Genetics 8: e1002777. Plant Cell, 24: 3559-3574. Bioinformatics 29: 792-793. Genome Biol. Evol. 5: 769-782. Additional programs include: Beside R core installation, additional library must be installed: foreach, igraph, getopt, R2HTML, lattice, doMC, multicore, ape and Biostrings (available from ) RepeatMasker is provided with only a minimal database of repeats. To enhance its functionality, Repbase, a database of repetitive DNA elements must be obtained from. (see Repbase Update(2005), a database of eukaryotic repetitive elements. Cytogentic and Genome Research 110:462-467 for detailes) Original source code which is available from was modified to make it suitable for RepeatExplorer. Source is located in louvain direcory must be compiled using make If you do not have Mercurial installed, RepeatExplorer can be downloaded as a zip archive from. This will add RepeatExplorer tools to Galaxy tool menu.It is possible to either set variables according to your local installation or adjust your program and databases locations to correspond to the default configuration setting. A second option will ease future RepeatExplorer updates. The configuration file defines following variable: The increasing these parameters can significantly affect computation time. See the README.txt for installation intructions While this method outperforms the previously used method, in terms of computational time, it still requires that the whole graph is loaded into memory. Memory usage is directly proportional to the total number of similarity hits. The number of similarity hits E can be calculated from: Less reads can be used for highly repetitive genomes and conversely, less repetitive genomes will allow one to use more sequencing data. Based on the previously analyzed data from P. sativum, it is possible to cluster up to 4 million 100 nt long reads on the computer with 16GB of RAM. At this setting, the whole clustering and subsequent analysis needs approximately 8 days to finish. With the amount 500 thousand sequence reads which, is still sufficient for a repeat survey,the calculation finishes in about 6 hrs. Also note that there is a considerable amount of data generated. For example, clustering of 4 million P.sativum reads yields 50GiB of uncompressed files. To prevent the exhausting of the available memory, each clustering run is preceded by testing to estimate the limit for the number of reads.Namely, all to all sequence comparison with mgablast, protein domain search with rpsblast and blastx and graph layout calculation. This parallelization does not required any special setting except installation of GNU parallel and R packages foreach, multicore and doMC. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program. If not, see. It is designed to be useful to both specialized staff and generalists and to be applicable to institutions with sophisticated information needs as well as to those with more basic facilities information needs. It reflects the perspective that along with human resources and financial assets, space is one of the primary resources of a postsecondary educational institution. It provides updated definitions for building area measurements, space and room use codes, and other data elements that are useful for including in a facilities inventory. It describes the basic principles for developing a facilities database, provides guidance on required and optional data elements for inclusion in a facilities inventory, suggests analytic, administrative and comparative uses for facilities data and presents issues that are emerging in the collection, maintenance and reporting of facilities data. Mail addressed to several persons may be delivered to any one of them. 1.1.2 Refusal at Delivery The addressee may refuse to accept a mailpiece when it is offered for delivery. 1.1.3 Refusal After Delivery After delivery, an addressee may mark a mailpiece “Refused” and return it within a reasonable time, if the piece or any attachment is not opened. Mail that may not be refused and returned unopened under this provision may be returned to the sender only if it is enclosed in a new envelope or wrapper with a correct address and new postage. Response mail to the addressee’s sales promotion, solicitation, announcement, or other advertisement that was not refused when offered to the addressee. 1.1.4 Mail Withheld From Delivery An addressee may request the postmaster, in writing, to withhold from delivery for a period not to exceed 2 years any foreign letter or printed matter with a specified name or address on the outside. 1.1.5 Addressee Identification If the delivery employee does not know the person claiming to be the addressee, delivery employees may withhold from claimants certain mail pending presentation of an acceptable primary form of identification as specified under 608.10.3, or if suitable under 6.0 for general delivery. 1.1.6 Remailing Returned Mail Generally, a returned mailpiece that was undeliverable-as-addressed or refused by the addressee may not be remailed unless it is placed in a new envelope or wrapper with a correct address and new postage. The addressee (or representative) may obtain the sender’s name and address while held by the USPS employee before accepting delivery and endorsing the delivery receipt. Unless an electronic signature is used as described in 503.1.8a, a mailpiece may not be opened or given to the recipient before the recipient signs and legibly prints his or her name on the applicable form or label and returns the form or label to the USPS employee. An acceptable primary form of identification as specified under 608.10.3 may be required of the recipient before delivery of the mailpiece. When delivery is not restricted at the sender’s request, mail addressed to a person at a hotel, apartment house, etc., may be delivered to any person in a position to whom mail for that location is usually delivered. USPS responsibility ends when the mailpiece is delivered to the addressee (or another party, subject to 1.0 ). A notice is provided to the addressee for a mailpiece that cannot be delivered. If the piece is not called for or redelivery is not requested, the piece is returned to the sender after 15 days (5 days for Priority Mail Express, 10 days for COD), unless the sender specifies fewer days on the piece. A hand stamp approved by the Postmaster may be used by the addressee (or authorized agent) to provide the signature and name of the individual or organization receiving the mailpiece as follows: The hand stamp imprint must fit within the Signature and Printed Name blocks on Form 3849, without overlapping into other sections. To obtain approval for a hand stamp, the company must submit a written statement to the postmaster that the person whose name appears on the stamp is authorized to accept accountable mail, accompanied by a sample of the authorized employee’s signature. After approval, the documentation is held by the postmaster and the stamped signature and name are acceptable only if a legible impression is provided within the Signature and Printed Name blocks on Form 3849. For mail addressed only to a federal or state official, the stamp need show only the name and location of the accepting organization. In these cases, the stamp imprint must fit within the Printed Name and Delivery Address block of Form 3849 without overlapping into other sections. 1.1.8 Additional Delivery Standards for Restricted Delivery In addition to following standards specified under 1.1.7, postal employees must deliver mail marked “Restricted Delivery” only to the addressee or person authorized in writing as the addressee’s agent and under the following conditions: (Note: USPS may require an acceptable primary form of identification as specified under 608.10.3 from the addressee or agent receiving the mail.) Mail for famous personalities and executives of large organizations is normally delivered to an agent authorized to sign for such mail. Mail for officials of executive, legislative, and judicial branches of the government of the United States or of the states and possessions and their political subdivisions, or to members of the diplomatic corps, may be delivered to a person authorized by the addressee or by regulations or procedures of the agency or organization to receive the addressee’s mail. Mail for the commander or other officials of military organizations by name and title, is delivered to the unit mail clerk, mail orderly, postal clerk, assistant postal clerk, or postal finance clerk, when such individuals are designated on DD (Department of Defense) Form 285 to receipt for all mail addressed to the units for which they are designated. If the person accepting mail is designated on DD Form 285 to receipt for ordinary mail only, then restricted delivery mail addressed to the commander, or other official by name and title, is delivered to the mail clerk only if authorized by the addressee. Mail for an inmate of a city, state, or federal penal institution, in cases where a personal signature cannot be obtained, is delivered to the warden or designee. Mail for minors or persons under guardianship may be delivered to their parents or guardians. An addressee who regularly receives restricted delivery mail may authorize an agent on Form 3801 or by letter to the Postmaster and must include the notation “this authorization is extended to include restricted delivery (or Adult Signature Restricted Delivery) mail”. Form 3849 also may be used for the authorization, if the Post Office has no standing delivery order or letter on file, when the addressee enters the name of the agent on the back of Form 3849 in the space provided and signs the form. The agent must sign for receipt of the article on the back of the form. When mail is addressed to two or more persons jointly, all addressees or their agents must be present to accept delivery together.

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