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Last time we discussed the 529 plan and the secrets behind it. Now lets look at the FFIUL plan and what it appears like. Renters insurance is insurance that covers the possessions you've gotten in your condo, as well as your housing typically (that's to say, if one thing had been to occur to your house, renters insurance would cowl the price of damaged or ruined property, plus cowl the price of living someplace briefly earlier than discovering a new place to stay). The six numbers contained inside each distinctive Nationwide Insurance number are a random sequence of numerals. Lately, he published a comprehensive e-guide which I believe will probably be useful to anybody looking at purchasing insurance – whether or not you're a first-time buyer.
Totally different car insurance companies have different insurance protection and the variety of present protection may not similar with the brand new insurance companies because there are other variables within the protection. Please browse our web site to study extra concerning the many insurance merchandise obtainable from Adriana's Insurance. By leveraging our unmatched knowledge of insurers' legacy operations and applied sciences, we can help insurance firms develop digitally and remodel their present IT environment, all whereas bettering efficiency and increasing speed to market.
Other NAIC officers elected for 2013 embody North Dakota Insurance Commissioner Adam Hamm as President-Elect, Montana State Auditor and Commissioner of Securities and Insurance Monica J. Lindeen as Vice-President, and Pennsylvania Insurance Commissioner Michael F. Consedine as Secretary-Treasurer. Many impartial inventors are in favor of patenting new insurance merchandise since it provides them safety from large corporations when they bring their new insurance products to market. If we've got not remitted the cost to the insurance firm by then, we will refund the amount after deducting Rs.a hundred and fifty/- of service charge.
If you purchase a automobile from a vendor and he presents you 'options' which you can add to your automobile then these can even be modifications that your insurance firm will must be advised about. The insurance transaction entails the insured assuming a assured and recognized comparatively small loss in the type of fee to the insurer in change for the insurer's promise to compensate the insured in the occasion of a coated loss. If, after reviewing the proposal, the insurance company demands additional premium to cowl the risk, we would intimate the identical to the shopper.
An extra is the primary quantity of any insurance claim; that YOU your self must pay, due to this fact if your claim is £500 and your voluntary excess is 200, then this means that you pay £200 in direction of the £500 and your insurance firm pays £300. These factors help insurance brokers calculate the amount of money you'll be charged. Allowing them to maximise retirement income through the use of life insurance to offer for partner moderately than taking a 2/three partner retirement profit. Green Delta Insurance is one probably the most famend personal insurance company in Bangladesh.


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Membership in the WFMVGA is open to anyone who has an interest in growing and marketing fresh market vegetables. Our membership is made up of large commercial growers and backyard hobbyists alike.
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subset: commoncrawl


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"Good job if you are starting your career."
- Work/Life Balance
- Career Opportunities
- Comp & Benefits
- Senior Management
Helpful (1)
Industry Leader
Contracted with major playors in the Healthcare industry.
Good benefits and good entry level training.
Established company who's investors position the company to succeed.
Capped contracts make quotas difficult to achieve.
Little room to be promoted.
Major disconnect between operations and sales teams.
Change comp structure a couple of time a year.
Advice to Management
Need to align the sales and operations divisions. The sales team is asked to go make promises to its accounts that it can't always follow through on.
Individual branch managers care about their employees
Information is circulated fast
Lots of growth potential
Excellent benefits and it is easy to get time off when needed
Not enough people to do all the work
Most of customer service has been shipped overseas
Corporate has no idea what the branches actually do
Helpful (1)
decent pay healthcare is alright
long hours, micro managed, their policies are worse than obamas health care plan. they always add more to do but never take away anything. its who u know and blow. no respect for the little guys. our opinions dont matter. u question something or disagree with the suits you are labeled a troublemaker, insubordinate. if you are not a yes boy or lady you are doomed. i have been there 6 years used to love it now i hate it, thanks alot. always stressed. there is about 3 or 4 of us who pull the entire branch the rest dick around get there pay checks and use their sick time as much as possible with the most ridiculous excuses ive ever heard. like i said though you complain you just put a bullseye on your back. once its there.......your gone sooner or later. i could go on and on but most of you know the story. its sad when 90% of the employees there would be gone if they could find something else. typically daily statement you will here everyday from someone. I HATE THIS !@#$% JOB.
Advice to Management
it wouldnt matter they dont listen to the little guy anyway


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New Home › Forum › Updates › MPCNC Version 2 -opinions- › Reply To: MPCNC Version 2 -opinions-
March 10, 2016 at 7:41 am #8843
The new corner blocks look pretty slick. i wonder though if it wouldn't be a bit more beneficial to actually make the corner blocks wider instead of narrower. you are already limited to travel by the center z assembly hitting the rollers and a wider corner would mean theoretically better squaring. but you are definitely onto something by making them use less plastic/time. I've been toying with taking your original design and making it taller, using 1 1/4 PVC for rigidity. still a work in progress. but it's moving faster now that I finally bought myself a trackball.


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Live Design will publish its list of 50 Powerful People in the January/February issue, out in a few weeks. The 50 Powerful People, nominated by readers, industry leaders, and the LD staff, comprise a wide range of industry professionals, from designers to business owners to top dogs at manufacturers, in lighting, projection, staging, and sound.
Only the top ten are ranked, with the other 40 liste
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|Publication number
|Publication type
|Application number
|Publication date
|Jul 10, 2001
|Filing date
|Mar 10, 1992
|Priority date
|Mar 12, 1991
|Fee status
|Publication number
|Toshiyuki Sekiya
|Original Assignee
|Canon Kabushiki Kaisha
|Export Citation
|BiBTeX, EndNote, RefMan
|Patent Citations (20), Referenced by (18), Classifications (9), Legal Events (5)
|External Links: USPTO, USPTO Assignment, Espacenet
U.S. Ser. No. 07/526,650 filed May 22, 1990
U.S. Ser. No. 07/673,240 filed Mar. 20, 1991
U.S. Ser. No. 07/713,141 filed Jun. 11, 1991
U.S. Ser. No. 07/713,312 filed Jun. 11, 1991.
1. Field of the Invention
This invention relates to an information processing apparatus in which picture quality is capable of being adjusted at user's requirements.
2. Prior Art
In information processing apparatus such as copying machines and printers, generally a variety of measures are taken in order to maintain the quality of an outputted image at a fixed level. As one example, an apparatus of the aforementioned kind may be provided with control means for directly controlling picture quality, wherein control parameters are set in the control means in appropriate fashion. In addition, the apparatus may be equipped with various sensors in order to optimize the control parameters in conformity with changes in the environment in which the apparatus is used, wherein it is possible to perform highly sophisticated control of the type in which the control parameters are automatically adjusted to appropriate values frequently in dependence upon the outputs from the sensors. For example, in the case of an electrophotographic copying apparatus, control means for so-called development bias control is provided in order to make the copy density, which is an important factor in picture quality, conform to a fixed standard. The control means is so adapted as to set the bias value to a value which is appropriate.
It has recently become possible to perform development bias control more finely. Specifically, accordingly to such control, ambient temperature, ambient humidity, the density of an original document, etc., are sensed by sensors and the appropriate bias values are calculated based upon the sensor outputs in order to stabilize picture quality.
However, in the examples of the prior art described above, ordinarily the values of the control parameters are fixed values decided at the design stage and these cannot be changed following shipment of the apparatus from the factory. Furthermore, in a case where changes in environmental conditions are sensed by a plurality of sensors and the values of the appropriate control parameters are revised, the mapping relationship between the sensor output values and the appropriate control parameter values is decided at the design stage and this relationship does not change once it has been decided.
Accordingly, in order to achieve uniformity of quality in terms of picture quality and density, etc., as the final objective using the picture-quality control methods of the kind set forth above, a mean having some latitude is taken of the demands made by all users and the mean must be adopted as being representative of the appropriate value. Consequently, since the appropriate values are merely the representative values set at the time of shipment, there will always be some users who are dissatisfied with the picture quality obtained. A similar problem arises even in control for automatic adjustment of copy density for dealing with the density of the original document. Such control is employed widely in the latest copying machines. Specifically, the problem is that when the automatic adjustment function is implemented, copies always appear somewhat faint. Consequently, even though the automatic adjustment function is intended to be convenient, there are only a few users who make the adjustment manually rather than utilize the automatic adjustment function.
Further, in the case of a copying apparatus of the electrophotographic type, the parameters which affect picture quality are highly numerous and a variation in picture quality owing to the passage of time and slight differences in the characteristics of various components are unavoidable.
Thus, the conventional image forming apparatus still possess a variety of shortcomings.
Accordingly, an object of the present invention is to provide an image processing apparatus in which it is possible to set image forming conditions conforming to the state of the apparatus at use and in line with desired requirements.
According to the first aspect of the present invention, there is an information processing apparatus provided which comprises:
means for manually requesting change of output image quality;
detecting means for detecting a condition of the apparatus;
setting means for setting an image forming condition in accordance with the detected condition and the requested output image quality; and
control means for changing the image forming condition by learning the request previously requested from the requesting means.
According to the second aspect of the present invention, there is provided an information processing apparatus which comprises:
means for requesting change of output image quality;
detecting means for detecting environmental parameter;
determining means for determining an image forming condition by computing detected environment-parameter;
learning means for memorizing the determined image forming condition by the determining means; and
image recording initiating means for carrying out subsequent image recording utilizing the value learned.
According to the third aspect of the present invention, there is provided an information processing apparatus having image forming condition setting means for setting the desired image forming conditions and image forming means for forming the image under the set image forming conditions comprising:
satisfaction discriminating means for determining whether or not a user is satisfied with an output image by monitoring operation of the apparatus performed by the user;
environmental-parameter detecting means for detecting environmental-parameters;
control means for deciding the amount of adjustment based upon detection values outputted by said detecting means and;
a neural network provided in said image forming condition determining means for obtaining at least one image forming condition by performing computation of the environmental-parameter input adjusted by the control means;
whereby image forming conditions are adjusted so as to satisfy the user based upon the degree of satisfaction determined by said satisfaction discriminating means.
According to the fourth aspect of the present invention, there is provided an information processing apparatus comprising:
a neural network for processing an input information thereto on the basis of a predetermined connectivity constant and outputting processed information;
a control means for setting a connectivity constant to said neural network;
a memory means for storing a program for computing the connectivity constant to be set by said control means; and
wherein said neural network, said control means and said memory means are arranged on a single substrate.
Other features and advantages of the present invention will be apparent from the following description taken in conjunction with the accompanying drawings, in which like reference characters designate the same or similar parts throughout the figures thereof.
FIG. 1 is a block diagram illustrating a first embodiment of an information processing apparatus according to the present invention;
FIG. 2 is a flowchart for describing the operation of the invention;
FIG. 3 is a block diagram showing the arrangement of neural network of FIG. 1 in greater detail;
FIG. 4 is a flowchart for discussion of registering and reading the optimum connectivity constants;
FIG. 5 is a flowchart for discussion of updating the registered optimum connectivity constants;
FIG. 6 is a schematic diagram for illustrating the key location on the operation panel;
FIG. 7 is also a schematic diagram of the operation panel for illustrating preferred key location; and
FIG. 8 is a circuit diagram showing an example of a one-chip microcomputer which integrates the circuit arrangement illustrated in FIG. 1.
Embodiments of the present invention will now be described in detail with reference to the accompanying drawings.
(First Embodiment)
FIG. 1 is a block diagram illustrating a copying apparatus of a first embodiment in which the present invention is applied to a copying machine of the electrophotographic type.
As shown in FIG. 1, the apparatus includes a glass platen 1, an imaging lens 2, a photosensitive drum 3, a light source 4, a reflecting mirror 5, a developing drum 6, a primary corona charging device 7, a transfer charging device 8, a charge removing needle 9, an optical fiber 12 for detecting the amount of light from the light source 4, an optical fiber 13 for detecting the density of an original, and a controller 14 for controlling the overall system of the apparatus, which provides a microcomputer (CPU) 51, ROM 53 for storing therein a system control program, and RAM 54, which is used for the working area. Numeral 10 denotes toner, and numeral 11 represents toner waste.
The apparatus further includes a high-voltage power supply 15 for performing primary corona charging, development biasing, image transfer and charge removal, a control panel 16 having keys which the user operates to adjust copy density, as well as disable presentation keys, a temperature sensor 17 for sensing ambient temperature T, a humidity sensor 18 for sensing ambient humidity, a main operation signal line 20 of the high-voltage power supply 15, an ON-OFF operation signal line 21 for the AC portion of the development bias, and a control signal line 22 for controlling the value of the DC portion of development bias. The apparatus is provided with a neural network consisting of an input layer 25, a hidden layer 26, an output layer 27, a section 28 for the input connections, and a section 29 for the output connections.
Numeral 30 denotes a bus which sets weighting constants for the input and output connections 28 and 29.
In this embodiment, five items are set as various environmental parameters related to picture quality. These are original density N, ambient temperature T, ambient humidity M, total number C of copies, and number D of copies to be made in a fixed period of time. As means which the user may employ to adjust copied results to a desired picture quality, mention can be made of a density adjustment button. Such a button has two sides, one for increasing density and one for decreasing density. When the user does not press the button to either side, an amount of adjustment initially set by the controller is internally assigned and the control panel indicates neutral.
In the case of this embodiment, the adjustment of density is carried out by controlling the potential (the developing DC bias) of the developing drum. The amount of adjustment is decided by the neural network 25˜29 based upon the environmental parameters.
Operation up to optimization of density will be described hereinafter with referring to a flow chart illustrated in FIG. 2. The control sequences performed by FIG. 2 is stored in memory ROM 53 of the controller 14.
First, an adjustment amount V for values of f(N,T,M,C,D), which were determined by the previous copying operation, is outputted at step SI in the flowchart of FIG. 2 in accordance with a mapping relationship between environmental parameters and amount of adjustment decided previously, and the copying operation is started at step S2 of the flowchart. If the user is satisfied with the results of copying upon observing the results (YES at step S3), then the user continues copying or terminates the copying operation without using the adjustment button. On the other hand, if the user is not satisfied (NO at step S3) and adjusts density to the desired density by using the adjustment button, V′ is substituted for the value of the adjustment amount at step S6 in FIG. 2. Next, at step S4, the set (N,T,M,C,D,V′) of environmental parameters and amount of adjustment prevailing when it is judged that the user is satisfied is stored in memory (not shown), which is provided within the controller 14, as a first teaching pattern. Then, at step S5, a new weighting is reset for the input and output connections 28 and 29 of the neural network.
Next, on the basis of the teaching pattern registered previously, and the teaching pattern currently registered, the connectivity constants of the neural network 25-29 are optimized at step S5. In other words, the function f is updated.
The program then returns from step S5 to step S1, where copying starts being carried out at the new ν so that it may be judged whether the revised density is satisfactory. When the desired density is reached, copying is continued as is or the copying operation is terminated. Accordingly, the amount of adjustment which the user finds satisfactory can be estimated through such a series of operations. When a teaching pattern is stored, in actuality a restriction is imposed by memory capacity. In any case, it would be necessary to introduce an algorithm for accumulating a fixed quantity of the latest patterns or for updating them in relation to those which satisfy certain conditions. There is no limitation as to which algorithm is used.
There are several well known algorithms for optimizing the connectivity constants of a neural network, one of which is the back-propagation method. There is no limitation as to which algorithm is used.
The general features of an electrophotographic process will now be described.
First, an original placed upon the glass platen 1 is irradiated with light emitted by the light source 4, and the reflected light is imaged upon the photosensitive drum 3 via the imaging lens 2. The photosensitive drum 3 is charged in advance by the primary corona charging device 7 and is sensitized in accordance with the imaged pattern so that a latent image of the electrostatic pattern is formed. The latent image is developed and rendered visible in toner by the developing drum 6. Next, the toner image is transferred from the photosensitive drum 3 to copy paper (not shown) by the transfer corona charging device 8. Thus, a series of copying operations is carried out. In this case, when the developing DC bias applied to the developing drum 6 from the high voltage power supply 15 is changed, the developing conditions change. Therefore, the amount of toner formed on the photosensitive drum 3 changes so that it is possible to change the copying density.
The optical fiber 13 is for detecting the density of the original. The amount of light reflected from the original is picked up by the optical fiber 13 so that it can be monitored as the density N of the original by the controller 14. The original density N, ambient temperature T and ambient humidity M are causes of short-term variation in the conditions of the electrophotographic process. The total number C of copies and the number D of copies made in a fixed period of time are causes of long-term variation in the electrophotographic process. Accordingly, the current value of N, T, M, C and D are monitored at all times by the controller 14. If the developing DC bias is controlled based upon the aforementioned variations, copying will always be performed at a stabilized image density.
Next, the neural network 25-29 will be described.
The input layer 25 provides analog values indicative of the values of (N, T, M, C, D), normalizes these values and sends them to the succeeding stage. The hidden layer 26, upon receiving weighting in accordance with weighting constants sent from the controller 14, accepts signals from the input layer 25. Furthermore, the output layer 17, upon receiving weighting in accordance with weighting constants sent from the controller 14, accepts signals from the hidden layer 26 and decides the firing state of each output element (not shown) as the result of processing based upon filtering threshold values. Moreover, the output layer 27 decides an amount of adjustment according to the set connectivity constant and outputs this to the high-voltage power supply 15 as an analog value.
The bus 30 is for setting the weighting constants, which have been decided by the controller 14, in the sections 28 and 29 for the input and output connections, respectively.
(Second Embodiment)
Next FIG. 3 refers to a neural network for determining the image forming conditions and recording conditions.
The neural network and its peripheral comprises the operation panel 16 and CPU 52 which changes the connectivity constants initially set to default conditions and be subjected to modification, and also puts out a control signal to the charge voltage and developing voltage. The output of the CPU 52 is inputted to the neural network 36 to control neural units 34. This neural network 36 includes input layer 25, input/output connection (connective layer) layers 28 and 29, middle layer 26 and the output layer 27. Concerning the neural network 36, each computing unit 34 is provided with a register in which the connectivity constant is stored, replaceable by the computer 52. The neural network multiplies the stored connectivity constant to the input environmental parameters, and obtain the total value of the computation. Then, according to the appropriate algorithm, the final output is obtained and puts it out to the high voltage power supply 15. The neural network 36 consists of several neural units and is designed to put out the control signal for generating image generation conditions and recording conditions. Generally, the main function of the CPU is to set the connectivity constant to the register in the neural units 34 and replace them if required. Accordingly, if the user notifies the controller that recorded image density is too light or too dark, control panel 16 is used for input. Upon receipt of this request, the CPU 52 modify the neural unit 34 in neural network 36 for changing the conditions. Even if the same control signals are fed by CPU 52 to neural network 36, the result may be different. That is the output of the network becomes different and a different control signal is applied to the high voltage controller 15. Thus a different image recording may be expected. Repeating this routine until the user is satisfied with the recording result and upon receives the satisfaction that this connectivity constants is associated with, the input conditions are learned (inclusive of the connectivity contents) and stored.
However, the range of application of the invention is not limited to the foregoing. For example, if the present invention is utilized in a color copying machine, it can be applied to correction of color tone at the time of copying.
When the machine is shipped from the factory it is programmed with default values for the optimum connectivity constant. This constant may not give the best quality of copy at the installation location. Therefore means to adjust the constants and to adjust the quality of the copying, or a service person who is able to adjust the machine for that environs and then store the new values in ROM 14 for that environs, is provided for the user.
In reference to the algorithms of FIGS. 4 and 5, the setting of new optimum connectivity constant and the renewal thereof will be discussed. In step #41, the presently stored values for the optimum connectivity constant are read form the CPU 52. In step #42, a copy is made using the values read from the CPU 52. At step #43, the user can evaluate the copy and decide whether or not it is acceptable. If the answer is no, then step 44 for changing the connectivity constant is performed. In the step, the key on the control panel indicating a desire to change the connectivity constant is pushed. Now, the user can change the connectivity constant by adjusting the yellow, magenta, and cyan color adjuster switches on the control panel of the machine. Then another copy is made in step #42, and the user is again posed with the question of whether or not the copy is sufficient. This time if the answer is yes, in step #45 the new connectivity constant is recorded in the neural network according to the ambient parameters at that time, and the copy process continues.
In FIG. 5 the process for reading the optimum connectivity constant is described in a flowchart. In step 51, whether or not an old connectivity constant is registered is determined. If the answer is no, then the default value form the factory is set. If the answer is yes, then in step 53, that value is read and used for the copy in step 54. In step 55 the user has the chance to examine the copy and is asked whether or not there is a need to adjust the connectivity constant. If the answer is no, then the process finishes and normal copying continues. If the answer is yes, then in step 56 the connectivity process is updated and in step 57 a copy is made from the newly input connectivity constant. In step 58 the user is asked whether or not he is satisfied with the new copy. If the answer is no, then the process returns to step 55 and begins again. If the answer is yes, then the new connectivity constant is stored in step 59. This procedure is followed when the copy machine is turned on or when the density change button is pushed on the control panel.
FIG. 6 is a schematic diagram of the key locations on the operation panel. Key 62 is the key that the operator pushes when he is satisfied with the copy results. When this key is pushed the connectivity constant of that time is stored. This is useful to this specific embodiment of color copiers, because the fine tuning of the color adjustment is very difficult. Thus when the user is satisfied with his adjustments of the color he can freeze it at that point and store the connectivity constant into the machine. The numbers 64, 65, and 66, refer to the adjustment switches for the yellow, magenta, and cyan color densities respectively.
FIG. 7 represents the preferred embodiment of the user control panel. Key 71 determines the learning mode into which the user can change and save the connectivity constant, or a normal mode which can prohibit the learning option.
Key 72 is the key that will clear the learning history data and return the default factory data. This button will be positioned in an out of the way location to avoid accidental clearing of the learning memory. This button may be used by either a service person or the user if the optimum value has been determined but the ambient conditions have changed requiring the history to be deleted and the default value of the connectivity constant to be used.
Key 73 indicates a LED indicator that lights in response to an inquiry from controller 14 as to whether or not the data from the current run should be stored. The response to this query is Key 74.
Key 74 confirms to the users an update of the running values. If the button is not pushed the auto learning value is registered.
Key 75 is provided for updating the learned values at any time by the user. The controller is told the values when Key 75 is pushed.
If it is assumed that a large software memory capacity is required, such as for back propagation, it should be ROM, and working RAM, is interfaced to the controller 14. According to this embodiment, an expansion memory unit 81 is connected to the controller 14 via control lines, data bus and an address bus. Learning the electrographic process and optimization of such a process are done in the memory unit 81. Due to the utilization of the memory unit 81, having computing the function connected to the controller externally, it is possible to attain a system which has additional functions for performing process control by a neural network. With a properly designed interface, the memory unit can be designed for multiple uses.
Another approach may also be possible. In this approach, a data memory for learning is provided in the controller 14. Learned data is accumulated successively in this memory. This memory is connected to the above mentioned memory unit 81 when a service person visits the user to update the optimum value with the aid of the program stored in the memory unit 81.
The memory unit 81 is referred to as an expansion memory unit, but it may be possible to realize the same by using a microcomputer board. If a microcomputer board is used, work allocation between the controller 14 and microcomputer board becomes possible.
The controller 14 mentioned above is realized by a one-chip microcomputer circuit 100 which will be described hereinafter with reference to FIG. 8.
FIG. 8 is a circuit diagram illustrating the overall arrangement of a microcomputer circuit 100 inclusive of the CPU 52. The CPU 52 includes ALU, ROM 53, RAM 54, and input/output ports for necessary circuitry examples. A 16 bit microcomputer device may be used for the CPU 52. Reference 200 denotes a neuron device such as the neuron-chip which was introduced in the Journal of Nikkei Microdevice of the Mar. 20, 1989 edition as the first commercialized neuron chip which has been made by the bipolar process.
In FIG. 8, a digital signal input circuit 301 stores a weighted digital data from the CPU 52 via a signal line 302.
A multiplier circuit 303 multiplies the weighting data stored in the digital signal input circuit 301 by an analog signal from a multiplexer 303. The multiplexer 303 selects an analog signal from the signals inputted through a plurality of input terminals 16, and outputs to the analog signal to the multiplexer 303. The product thereof is supplied to an adder circuit 307 via a resistance 306. The output of the adder circuit 307 is connected to a sample and hold circuit 308 and a capacitor 309, which is necessary for adding operation, is connected to the outside of the chip 200. The signal which is held in the circuit 308 is inputted to the sigmoid function circuit 310, and an output signal of the sigmoid function circuit 310 is supplied to an output terminal 311. A control signal for controlling the neuron device 210 is supplied from the CPU 52 via signal line 312. The reference numeral 314 denotes a control circuit which drives and controls the adder circuit 307, sample and hold circuit 308, and sigmoid function circuit 310. A control circuit 313 for neuron device controls the multiplexer 304 and all of basic block 330 of the neuron device. As illustrated in the drawing, the CPU 52, ROM 53, RAM 54, I/O port 55, multiplexer 304, the neuron device control circuit 313, and the neuron device basic block 330 are integrated into one semiconductor substrate as a one-chip microcomputer.
A control signal line 14 of FIG. 8 is outputted from the control signal output terminal of the CPU 52, and is supplied to the neuron device as its control signal 312. A control signal 9, which is supplied from the CPU 52, is delivered to the neuron device 200 via the signal line 302. The CPU 52 can deliver the weighted digital data to the digital signal input circuit 301 via the control signal line 9. The output of the sigmoid function circuit 310 is delivered to the CPU 52 via a signal line 7, and also is connected to a signal output terminal 11 of the one-chip circuit 100. The reference numeral 16 denotes a plurality of analog input of the neuron device 200, which is respectively connected to each of analog terminals of the multi input analog multiplexer 304. A capacitor (not shown) being analogous to the capacitor 309 of FIG. 8 is also connected to the adder circuit 307 of the neuron device 200.
The CPU 52 provides a series of the weighted digital data to the digital signal input circuit 301 via the signal line 9. The weighted digital data is multiplied with the analog signal selected by the multiplexer 304 in the multiplier 303, then the product is applied to the adder circuit 309 inclusive of a resistance 306 and the capacitor 309. The added output from the adder circuit 307 is supplied to the sample-hold circuit 308. Then the sigmoid function circuit 310 determines a level of output signal (the threshholding operation) corresponding to the level of signal held at the sample and hold circuit 308 and supplies the output signal to the signal line 311. In case of a plurality of analog signals are supplied to the multiplexor 304, the multiplexer 304 selects a desirable analog signal according to a selection signal 314 from the CPU 52, and the selected analog signal is delivered to the multiplier 303. In this situation, the output of the multiplier 303 is delivered to the adding circuit 303 in a manner of time sharing.
According to the manner described above, the CPU 52 receives the result of the operation from the neuron device 200 via the signal line 7, and then connects it to a digital signal. The result of this arithmetic operation is equivalent to a result of a fuzzy reasoning made under a fuzzy control. When the result of the arithmetic operation is inputted, the CPU 52 determines the state by applying the weighting data which is set at the digital signal input circuit 301, then control signal based on the determination are sent to the objects to be controlled. Of course, the CPU 52 may change the weighting data to be set in the digital signal input circuit 301 through the signal line 9. The application of the information processing circuit illustrated in FIG. 8, which integrated with the single semiconductor and the neural network for controlling the setting of connective constants, is not necessarily limited to use for the image processing, but it may be possible to use for processing information for such goods as electric washers or refrigerators and other electric appliances.
In accordance with the present invention as described above, it is possible to automatically adjust for differences among apparatus, changes with the passage of time, variations in environment, such as ambient temperature and humidity, and modifications in process conditions for different original densities without heavy burden to the controller. Moreover, since it is possible to alter the adjustment level depending upon the preferences of the user, an image which the user always finds satisfactory can be output stably with almost no need to perform adjustment.
As many apparently widely different embodiments of the present invention can be made without departing from the spirit and scope thereof, it is to be understood that the invention is not limited to the specific embodiments thereof except as defined in the appended claims.
|Cited Patent
|Filing date
|Publication date
|Apr 13, 1981
|Oct 19, 1982
|Asahi Kogaku Kogyo Kabushiki Kaisha
|Copying apparatus
|Dec 26, 1984
|Sep 2, 1986
|Minolta Camera Kabushiki Kaisha
|Copying apparatus with preprogrammed features enabled by a document
|Dec 29, 1986
|Dec 8, 1987
|Canon Kabushiki Kaisha
|Image processing apparatus
|Mar 20, 1990
|Dec 3, 1991
|Man Roland Druckmaschinen Ag
|Method of operating a printing machine during start-up or run-on and optically testing a printed image
|Dec 28, 1990
|Apr 28, 1992
|Matsushita Electric Industrial Co., Ltd.
|Printing signal correction and printer operation control apparatus utilizing neural network
|Aug 15, 1990
|Sep 8, 1992
|Moore Business Forms, Inc.
|Method and apparatus for optimizing and storing contone images for subsequent half-toning and merging with text
|Mar 14, 1990
|Nov 10, 1992
|Matsushita Electric Industrial Co., Ltd.
|Color data correction apparatus ultilizing neural network
|Feb 26, 1991
|Jan 5, 1993
|Hitachi, Ltd.
|Image processing system suitable for use for a facsimile
|Oct 11, 1991
|Mar 15, 1994
|Hitachi, Ltd.
|Information processing system using neural network learning function
|Jun 11, 1991
|May 3, 1994
|Canon Kabushiki Kaisha
|Image processing apparatus using neural network
|Nov 28, 1990
|Aug 1, 1995
|Kabushiki Kaisha Toshiba
|Neural network which uses a monitor
|Aug 8, 1994
|Feb 6, 1996
|Canon Kk
|Method of assigning initial values of connection parameters to a multilayered neural network
|Sep 7, 1994
|Feb 27, 1996
|Canon Kabushiki Kaisha
|Binary to multi-level image restoration using neural network
|Jun 13, 1991
|Dec 18, 1991
|Canon Kabushiki Kaisha
|Neural networks
|Title not available
|Title not available
|Title not available
|Title not available
|Title not available
|Title not available
|Citing Patent
|Filing date
|Publication date
|Apr 13, 2001
|Sep 12, 2006
|Fuji Photo Film Co., Ltd.
|Image processing method using conditions corresponding to an identified person
|Mar 29, 2002
|May 22, 2007
|Sharp Laboratories Of America, Inc.
|Methods and systems for digital image characteristic adjustment using a neural network
|Nov 27, 2000
|Nov 25, 2008
|Inb Vision Ag.
|Method and apparatus for defining and correcting image data
|Feb 21, 2002
|Mar 3, 2009
|Sony Corporation
|Signal processor
|Feb 21, 2002
|Apr 7, 2009
|Sony Corporation
|Signal processing device
|Jul 18, 2006
|Aug 18, 2009
|Fujifilm Corporation
|Image processing method
|Jul 25, 2013
|Dec 8, 2015
|Konica Minolta, Inc.
|Color correcting system and image forming apparatus including same
|Aug 23, 2012
|Dec 6, 2016
|Mitsubishi Electric Corporation
|Thermal transfer printer
|Apr 13, 2001
|Feb 7, 2002
|Naoto Kinjo
|Image processing method
|Feb 21, 2002
|Jul 31, 2003
|Tetsujiro Kondo
|Signal processing device
|Mar 29, 2002
|Oct 2, 2003
|Campbell Richard John
|Methods and systems for adjusting digital image characteristics
|Feb 21, 2002
|Jan 13, 2005
|Tetsujiro Kondo
|Signal processor
|Jul 18, 2006
|Nov 9, 2006
|Fuji Photo Film Co., Ltd.
|Image processing method
|Aug 23, 2012
|Jul 18, 2013
|Shuhei TERAUCHI
|Thermal transfer printer
|Feb 21, 2002
|Nov 29, 2006
|Sony Corp
|Signal processing device
|Feb 21, 2002
|Nov 17, 2004
|Sony Corporation
|Signal processor
|Feb 21, 2002
|Dec 27, 2006
|Sony Corp
|Signal processor
|Feb 21, 2002
|Feb 13, 2008
|Sony Corporation
|Signal processing device
|U.S. Classification
|382/274, 706/15, 382/156
|International Classification
|Cooperative Classification
|European Classification
|Mar 10, 1992
Owner name: CANON KABUSHIKI KAISHA, A CORP. OF JAPAN, JAPAN
Free format text: ASSIGNMENT OF ASSIGNORS INTEREST.;ASSIGNOR:SEKIYA, TOSHIYUKI;REEL/FRAME:006049/0993
Effective date: 19920305
|Dec 21, 2004
|Fee payment
Year of fee payment: 4
|Jan 19, 2009
|Maintenance fee reminder mailed
|Jul 10, 2009
|Lapse for failure to pay maintenance fees
|Sep 1, 2009
|Expired due to failure to pay maintenance fee
Effective date: 20090710


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University of Pikeville wireless access
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Interscholastic Athletics
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Saint Pauls College baseball coaching staff
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Aspen Saturday MarketMap
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(630) 251-6507
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Additional Email Addresses
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Find a Location
BBB File Opened: 02/22/2010
Business Started: 09/28/2005
Business Started Locally: 09/28/2005
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Type of EntityCorporation
Business Management
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text:
The Power BI service and Power BI Embedded in Azure are coming together to offer a single API for embedding your dashboards and reports.
This means you will have one API surface, a consistent set of capabilities and access to the latest Power BI features – such as dashboards, gateways and app workspaces – when embedding your content.
There are two main scenarios when embedding Power BI content. Embedding with Power BI users and embedding to non-Power BI users. Previously, the Azure Power BI Embedded service was used to service non-Power BI users. This meant that the users of your application didn't need access to Power BI directly, or have any Power BI licenses assigned to them. They didn't have an account with the Power BI service.
The Power BI REST APIs have been updated to allow for both scenarios against the Power BI service. This will allow you to embed dashboards and reports into your custom application, using the same API to either service Power BI users (user owns data) or non-Power BI users (app owns data).
You can take full advantage of the JavaScript and REST APIs for your embedding needs.
To view a sample of how embedding works, see JavaScript embed sample.
Embedding for Power BI users is the functionality that has been available with the Power BI service. You can continue to embed content from the Power BI service into your applications using the REST API. This requires that the end user of your application sign into the Power BI service when you want to view your content in the application. Once your end user signs in, they will only have access to dashboards and reports that have been shared with them in the Power BI service.
For embedding with Power BI users (users own data), see the following:
Self-service capabilities, such as edit, save and more, are available through the JavaScript API when embedding for Power BI users.
Embedding for non-Power BI users provides the ability to embed dashboards and reports to users that don't have an account for Power BI. They don't need to know anything about Power BI. This is the scenario that is similar to the Azure Power BI Embedded service and what it offered. You will need at least one Power BI user with a Pro license. That account will act as a master account for your application. Think of this as a proxy account. This account allows you to generate tokens that provide access to dashboards and reports within the Power BI service.
To embed dashboards, reports and tiles, you would use the same APIs that you would use for embedding with Power BI users.
While embedding has a dependency on the Power BI service, there is not a dependecy on Power BI for the users of your application. They do not need to sign up for Power BI to view the embedded content in your application.
When you are ready to move to production, your app workspace must be assigned to a Premium capacity.
For details on how to embed, see How to embed your Power BI dashboards, reports and tiles.
If you were using the Power BI Embedded service within Azure, see Migrate content from the Power BI Embedded Azure service for information on how to migrate your content over.
How to embed your Power BI dashboards, reports and tiles
How to migrate Power BI Embedded workspace collection content to Power BI
Power BI Premium - what is it?
JavaScript API Git repo
Power BI C# Git repo
JavaScript embed sample
Embedded analytics capacity planning whitepaper
Power BI Premium whitepaper
More questions? Try asking the Power BI Community


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Please...only fill these forms after you make an appointment at Athena's office or you have paid for a phone appointment. You can do that on the page called "Healing.", or you can receive just the Determination of Constitution by paying at the page called "Market".
Go to the page "Online Form for Constitution 2" to finish the questions to determine Vakriti.


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Congratulations! You leveled up, but you aren't logged in so we can't save your points.
http://www.workdfitness.com Get a free workout at home with a Nationally Certified Personal Trainer. You don't need a lot of equipment, and it only takes minutes. Get in the best shape ever for free.
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A young lady's attempt to seductively wash a motorcycle doesn't go very well for her, or the bike.
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VideoBash is your first and final stop for free funny videos, games and pictures guaranteed to brighten up your day. The funniest jokes and the most unbelievable pranks caught on tape have been collected in one spot for your viewing pleasure. This is entertainment at its best and no one does it better than VideoBash. These funny clips crackle with humor and they will definitely have you laughing till your sides hurt. Quality is our number one priority and the free funny vids here are the best of the best. There are no mediocre videos here. All the videos, jokes, pranks on VideoBash are the cream of the crop and you'll be hooked from the get go. The best part is you don't have to keep all this good stuff to yourself, you can share all the free entertainment videos with your friends.


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Buying gifts for Baby (& Mom) can be a whole lot of fun.
Getting to stroll the isles with all of the tiny clothes is part of the perk of going to a baby shower or to having a new …
Playful Learning and Family Fun
This is a sponsored post written by me on behalf of Fisher-Price for IZEA. All opinions are 100% mine.
Hearing my son say "Thomas the Twain" is the cutest thing ever.
His fascination with trains started very early on. …
Katie is a former preschool teacher turned stay-at-home mom who wants to empower moms (and dads!) in all aspects parenting.
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U.S. Department of Agriculture Rural Development
Rural Energy for America Program (REAP)
U.S. Natural Resources Conservation Service
Environmental Quality Incentives Program (EQIP) for on-farm energy
Colorado Dept of Agriculture
ACRE: Advancing Colorado's RE & EE
Colorado Energy Office
Dairy and Irrigation Efficiency Program
U.S. Department of Agriculture Rural Development
Rural Energy for America Program (REAP)
USDA Rural Development's Rural Energy for America Program (REAP) has grants, guaranteed loans and combination grant and guaranteed loans available to help agricultural producers and rural small businesses install renewable energy systems and energy efficiency.
Eligible applicants
- Agricultural producer (directly and at least 50% of income from operations)
- Rural small business as defined by SBA standards
Eligible project costs
- Post-application purchase and installation of equipment
- Post-application construction or improvements, except residential
- Energy audits or assessments
- Permit and license fees
- Professional service fees, except for application preparation
- Feasibility studies, technical reports, business plans
- Retrofitting
- Construction of a new energy efficient facility of same size and purpose
- Energy efficiency improvements, as identified in an energy assessment or audit
Grant amounts
- Energy efficiency upgrades: minimum $1,500, maximum $250,000
- Renewable energy systems: minimum $2,500, maximum $500,000
Project eligibility
- The project must use a pre-commercial or commercially available, and replicable technology.
- The project must have technical merit.
- The applicant must be the owner of the project and control the revenues and expenses of the project. A third party under contract to the owner may also be used to control revenues and expenses and manage the operation and/or maintenance of the project.
Types of projects
- Energy Efficiency: Improvements need to be verified by an energy audit or assessment
- Renewable energy: Bio-energy, Anaerobic Digester, Geothermal, Wind, Solar, Hydro
Application process
- Applications may be submitted to any USDA office.
- Applications are accepted any time. Current timing is July 7, 2014
U.S. Natural Resources Conservation Service
Environmental Quality Incentives Program (EQIP)
for on-farm energy
The NRCS Environmental Quality Incentives Program (EQIP) for on-farm energy offers financial and technical assistance to agricultural producers through planning and implementing conservation practices.
Grant amounts: up to $300,000
EQIP framework
- Identify ways to conserve energy on the farm through an on-farm energy audit
- Financial and technical assistance to implement recommendation in the energy audit
Eligible applicants must:
- Be an agricultural producer
- Comply with AGI limitation provisions
- Comply with the highly erodable land & wetland conservation requirement
- Develop an NRCS EQIP plan of operations
Application process
- Applications accepted on a continuous basis throughout the year.
- Applications are evaluated and ranked based on environmental benefits expected
Colorado Dept. of Agriculture
ACRE: Advancing Colorado's RE & EE
The Colorado Dept of Agriculture ACRE program, Advancing Colorado's RE & EE, is focused on:
- Agricultural heating & cooling
- Energy efficiency
- Small-scale hydropower
For more information, contact:
Colorado Dept of Agriculture
ACRE: Advancing Colorado's RE & EE
Sam Anderson
(303) 869-9044
Colorado Energy Office
Dairy and Irrigation Efficiency Program
The U.S. Department of Agriculture awarded a $1.1 million grant to the Colorado Energy Office in April 2016 to help finance energy efficiency improvements for Colorado farmers.
The award comes through USDA's Natural Resources Conservation Service's Regional Conservation Partnership Program, and is matched through a $1.3 million cash and in-kind combined contribution from CEO, the Colorado Department of Agriculture and utility and industry partners.
The funds will help finance energy and water saving projects identified through CEO's Colorado Dairy and Irrigation Efficiency Program. Over the two-year grant period, the efficiency improvements are expected to achieve more than 5,250 megawatt-hours of electricity savings and 524,000 gallons of water savings annually, and will provide additional environmental benefits to Colorado's agricultural producers.
"Over the last two years the Colorado Energy Office laid the foundation and identified significant opportunities for cost-effective energy savings in Colorado's agriculture industry," said Jeff Ackermann, director of the Colorado Energy Office."Having USDA on-board as a funding partner helps overcome the upfront investment barrier so farmers can affordably build out projects that can provide long-term savings."
In 2015, CEO launched the Colorado Dairy and Irrigation Efficiency Program to provide agricultural producers free energy audits and technical assistance designed to select and implement cost-effective improvements that will reduce energy, water and operating costs.
To date, 63 producers have participated and 2,800 megawatt-hours of potential electricity savings have been identified through the audits. The program will expand to 200 producers during the next two years and is expected to generate over $4.5 million in potential savings in the next five years.
"This grant will enable the implementation of cost-effective projects identified through Colorado's statewide program, while meeting our goal to integrate energy conservation into agricultural practices," said Clint Evans, state conservationist for the USDA Natural Resource Conservation Service.
Colorado's agriculture industry faces direct energy expenses of more than $400 million annually, which accounts for 7 percent of the industry's overall expenses, according to CEO's 2013 Agricultural Energy Market Research Report.
The report identifies 90,000 megawatt-hours of potential electricity savings annually and identifies dairies and irrigators as the most energy intense sectors with the greatest opportunity for savings.
For more information, contact
Michael Turner
Colorado Dairy and Irrigation Efficiency Program
Contact info
U.S. Natural Resources Conservation Service (NRCS)
EQIP: Environmental Quality Incentives Program for on-farm energy
Scott Knutson
(970) 945-5494 x103
Colorado Dept of Agriculture
Advancing Colorado's RE & EE
Sam Anderson
(303) 239-4182
U.S. Department of Agriculture
REAP: Rural Energy for America Program
Pattie Snidow
(970) 874-5735 x132
Colorado Dairy and Irrigation Efficiency Program
Michael Turner
Free energy coaching for Garfield County farmers and ranchers:
Garfield Clean Energy
Matthew Shmigelsky
(970) 704-9200
Hydropower on your
farm or ranch
Learn about new incentives and streamlined regulations for small-scall on-farm hydropower


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The Summer Institute is an integral and long established part of the Continuing Education program at the UNC Occupational Safety and Health Education and Research Center. It offers a unique opportunity to take a variety of continuing education classes in a single setting. This format has the advantage of allowing participants a cost-effective way to fulfill continuing education requirements and enhance their skills and knowledge to obtain and maintain a professional advantage.
Sunday, July 23, 2017 - Friday, July 28, 2017 2:00 PM - 12:00 PMEastern Time
Renaissance Portsmouth-Norfolk Waterfront Hotel425 Water StreetPortsmouth, Virginia 23704USA757-673-3000
Cherelle Whitfield
Cvent Online Event Registration Software | Copyright © 2000-2017 Cvent, Inc. All rights reserved.


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Wasp HC1 Li-Ion Battery, 3.7V @4000 mAh with DoorItem#: 9304717 | Model#: 633808121709
- Price:
- $145.99
- Shipping:
- Temporarily out of stock. Order today and we'll deliver when available. (Details)
Wasp HC1 Li-Ion Battery, 3.7V @4000 mAh with Door Product Details
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Warranty provided by: Wasp Barcode
UPC No: 0633808121709
Mfg Part No: 633808121709
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Click here for full warranty and support information
- Wasp Barcode logos are registered trademarks of Wasp Barcode. All others trademarks and copyrights mentioned herein are the property of their respective owners.


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- 2
- 3
Better health and better individual and organisational productivity are all measurable....
Health Fairs
As an alternative to individual health checks, Fitness2live can deliver health...
Natural Food Sources
Beef liver, brewer's yeast, dried beans, enriched breads, fortified cereals, halibut, peanuts, pork, potato, salmon, seeds, soybeans, swordfish, tuna, turkey, wheat germ, white chicken meat.
Main Functions
Niacin is necessary for over 50 body processes, including nervous and digestive system functions. It stabilizes blood sugar levels, aides in the production of sex hormones, reduces cholesterol and triglycerides in the blood, and helps release energy from foods.
Deficiency Symptoms
Extreme niacin deficiency causes pellagra, a disease that can lead to dementia. Milder deficiency symptoms include aggression, hyperactivity, diarrhea, skin rash, depression, insomnia, and mouth sores.
Toxicity Symptoms
Very high doses may cause liver damage.
Dietary Reference Intake
Men: 16 mg
Women: 14 mg


text:
UCLA freshman forward Shabazz Muhammad spoke with reporters Tuesday about his recent struggles and upcoming games.
Premium Content
Subscribe today to read the full article and get everything Rivals has to offer.
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Greetings AHA!
We're so happy to report that you can now pay your AHA! membership dues with any major credit card! We have setup an account with Squareup.com to handle credit card transactions. To cover the transaction fee, a convenience charge of $1 will be added to the regular $10 membership. As always you can still pay dues by cash and check. See the AHA Credit Card Flyer for more details.
Sandra Yates
AHA! Treasurer
Archivist & Special Collections Librarian
McGovern Historical Collections
Texas Medical Center Library
p: 713-799-7176
f: 713-799-7876
Website: www.library.tmc.edu/mcgovern
The Black Bag: http://mcgovernhrc.wordpress.com


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KPVI News 6
Fire officials battle Timber Dome Fire west of Arco
KPVI News 6
Several fire agencies were called to the Timber Dome Fire west of Arco in the early evening house of the 4th of July. Jesse Bender the Fire Information Specialist of BLM's Idaho Fall's District says, "We burned more acres in the last 24 hours in …
and more >>
Source: timber – Google News
Sharing information is key – Timber Business News UK. Social Commerce and Social Media Management playing a big part. Suaju Ltd


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Earlier this week, we showed you a crack running along a basement concrete floor that was damp in places and asked if you thought it was something that would be covered under the warranty.
To help us out with the answer, we asked two of our resident experts on warranty matters, Dan and Bob.
Dan: "I'm going to have to agree with the builder on this one. This is a case of dampness, likely caused by moisture from beneath the concrete slab. It is definitely not an example of water penetration, because water is not pooling on the ground. Article 1.14 of the Construction Performance Guidelines states that 'Only actual water leakage through the floor slab resulting in accumulation of water is warranted; dampness or condensation is not considered a warranted condition.' If the homeowner is not comfortable with seeing the dampness, they should take measures to seal the crack."
Bob: "I agree. In this case it's possible the dampness is the result of a temporarily high water table, something that can occur after a heavy snow melt or after a prolonged heavy rainfall. For me, the key takeaway here is that the warranty is very specific about only covering water penetration through the floor slab when it results in the accumulation of water."
Answer: Not Warranted.
Thank you for your feedback! Every time you let us know what you think, other homeowners are empowered. Stay tuned for our next "Warranted or Not Warranted story.


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Rev. Karen Kuhnert
This website is a place to gently rest information.
Please contact me if you have any questions or concern
@KarenKuhnert TWITTER
Details on CLAY 2016 Under the LWF Theme Here
2014 Report of the Archivist
"The 2012 biennial Report highlighted our local 150-100 Synod-Seminary Anniversary celebrations. This 2014 Report shows that we've grown even more in understanding what we've overcome as Canadian Lutherans. Turning towards the next Report we need to begin to engage the powerful three-fold theme of the 500th Anniversary of the Reformation. How so? By writing back into our Lutheran histories, documents and commemorative works the factual details of our four hundred year relationships with Indigenous, Black and Anglican people in Canada. The theme for the 2017 LWF celebration in Namibia, Africa, is Liberated by God's grace - Salvation not for sale, Human Beings not for sale, Creation not for sale.
For example, evidence shows that the first contact between Lutheran and Indigenous people on our continent occurred peacefully on the territory of the Eastern Synod about one hundred years after Luther nailed the 95 Thesis to the door at Wittenburg's Castle Church. Images in Captain Jens Munck's diary show that he and Rev. Rasmus Jensen met the Inu on the South Shore of the Hudson Strait in 1619. Our history books don't acknowledge this fascinating encounter of free people on free land. They gloss over changes that came with religion to the New World, particularly owning land, and in 1689, legally owning people (Indigenous and Black people). All of this is part of our Reformation history too!
Such truth-telling is not meant to shame and paralyze us. Truth telling is meant to motivate, enable and equip us to move forward by grace through faith as contemporary characters in God's ongoing story.
Justice Murray Sinclair of Canada's Truth and Reconciliation Process states, 'Reconciliation is about forging and maintaining respectful relationships. There are no shortcuts.' We know that we have broken relationships to attend to. Already there are signs of hope for renewing old friendships including the growing Anglican-Indigenous-Lutheran relationships emerging out of the 2013 Joint National Assembly, the Synod-Seminary and Mt. Zion (Waterloo) connections with the Grand River Six Nations and their local Anglicans, and through KAIROS, the ELCIC and Anglican Church of Canada, responding to invitations from the Anishinabe and Wabanaki Confederacy to stand against resource extraction in the Maritimes and Ontario when there is no Free Prior and Informed Consent.
Towards Namibia in 2017 we can take action to write back into our histories the missing pages, stories, peoples of our past and present.
To help with our collective re-membering together for the love of the world, a sheet called "Did You Know? ... What Does This Mean? is included here. The story-fragments on the sheet are meant to challenge old story-lines, to prompt new conversations, to inspire local and academic research, to promote improved storytelling in congregations and Areas across our Synod. The fragments are meant to be investigated with growing groups of partners be they local or university librarians, Anglican historians, LAURIER Archive staff, consultants at Dartmouth's Black Cultural Centre, or Brantford's Woodland Cultural Centre. As your Archivist I am eager to be of support, particularly to help make contacts and to speak or listen as progress is made."
From the Archivist Report by Karen Kuhnert
for the Eastern Synod Assembly 2014
Copyright 2010 lutheransynodseminary. All rights reserved.
Items posted on presumption of grace.


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Go Rhino Dominator D2 Sidesteps Part #D24505B Customer Reviews
7 Customer Reviews
Nice for the price
Reviewed by Gerald F (MARTINSVILLE, IN) Reviewed for a 2014 Jeep Wrangler — Sep 26, 2014 7:24 AM
Bars were attractive and look good on the jeep. Easy to install. The only thing that I would change is the back step angles upward a bit and that makes it harder to step on. Doesnt seem to be a big deal.
Great Product - Hardware and Instructions Lacking
Reviewed by Derek B (BONNEY LAKE, WA) Reviewed for a 2014 Jeep Wrangler — May 31, 2013 8:23 AM
Shorted a couple of crush washers and one nut, so a trip to Home Depot was needed. The pictures provided with the two page instruction "kit" could have a bit more detail as to how the bars attach to the cab (outside body vs. inside body). Other than that they fit great, look great and work as advertised.
Awesome product
Reviewed by Eric H (Fort Riley, KS) Reviewed for a 2014 Jeep Cherokee — May 12, 2013 8:26 AM
Very quick delivery. Installation was a breeze, thanks to the detailed instructions. The bars look awesome on my jeep. I would highly recommend purchasing this product from auto anything!
Go Rhino Dominator II Nerf Bars on Jeep Wrangler Unlimited
Reviewed by Gary F (Wichita, KS) Reviewed for a 2013 Jeep Wrangler — Feb 11, 2013 4:39 AM
Delivery was fast. I put them on myself and really didn't need help. Might have been faster with a buddy, but still it only took a couple of hours. Everything fit and they are rock solid. Look better than anything else I have seen. Highly recommend these.
Love My Go Rhino Dominator Bars
Reviewed by sheila A (HARRAH, OK) Reviewed for a 2013 Jeep Wrangler — Nov 02, 2012 4:46 AM
Saw the Go Rhino Dominator bars on another jeep and had to have them. Someone told me to go to auto anything they would have them. Ordered them and had them in about a week. Husband put them on said easy to install. They make getting into jeep much easier and they look awsome. Absolutely love them. All the other nerf bars look out dated not these. I got the black with the stainless step they look great. You won't be disappointed.
Reviewed by RAY I (Orlando, FL) Reviewed for a 2012 Jeep Wrangler — Jun 28, 2012 6:41 AM
Added the Go Rhino Dominator II Nerf Bars to my 2012 Jeep Wrangler (four door). My wife is short so she needed the additional lift. Great product....looks good, very stable/strong, easy application and gets much attention. Great product for the price. Delivery was right on time as well. My hats off to Rhino products and Auto Anything. Thanks.
Go Rhino Dominator D2 Sidesteps - D24505B
Part Discontinued
This part has been discontinued by Go Rhino . We apologize for the inconvenience.View all options for this product