Applications of the unified multivariate counting process can be found, for example, in modern communication networks. One may consider a high-speed communication link for transmitting video signals between two locations. Video sequences are transmitted as streams of binary data that vary over time in traﬃc intensity according to the level of movement, the frequency of scene changes, and the level of transmission quality. Consequently, eﬃcient transmission of video traﬃc can be achieved through variable bit rate coding. In this coding scheme, data packets are not generated at a constant rate from the original sequence, but rather at varying rates. By doing so, one achieves less fluctuation in transmission quality level and, at the same time, transmission capacity can be freed up whenever possible. As in Maglaris et al. 13, such a mechanism may be implemented by using multimode encoders where each mode reflects a certain level of data compression, and the change between modes is governed by the underlying video sequence according to buﬀer occupancy levels. A system of this sort can be described in the above framework with Mt i∈J M i t representing
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In this study, a simulation model is used to investigate how the observation of the non-life insurance claim counting process can be used to estimate its model pa- rameter, i.e. claim intensity t or in term t , using the estimating function provided by the martingale method with ZMM. In particular, the NHPP of the in- surance claim counts with bell-shaped and beta-shaped intensities, we consider the simulation study of the proc- esses of the insurance claim counts during the claim time interval 0,t
Our analytic strategy consisted of the following steps. We began by performing a genome-wide linkage scan using the Illumina SNP panel to identify significant regions of linkage for each count variable. Much of our attention focused on chromosome 6, where a significant region of linkage (harboring the HLA-DRB1 locus) has been previ- ously reported for RA (disease status) . The genome- wide linkage analysis not only indicated regions that may be fine-mapped via association analysis, but also sug- gested differences in linkage signals between the count phenotypes. This motivated the formulation of the bivar- iate mixed-counting process framework that jointly mod- eled both tender and swollen processes, as well as detecting differences in patterns of association. We were particularly interested in evaluating the genetic associa- tion of candidate polymorphisms, such as DRB1, as well as SNPs selected by genome-wide linkage analysis, or within known candidate genes such as PTPN22, previ- ously reported to be associated with an increased risk of RA . Due to restrictions on available software for link- age analysis, the phenotypes were not modeled in the same manner as for association analysis; the purpose of the linkage analysis was simply to provide a preliminary
The precision of claim count estimation is a key to running the insurance business successfully. In this study, we will present an estimation approach to non-life insur- ance claim counts related to a specification of the two different claim counting processes, i.e., HPP, and NHPP with a bell-shaped intensity function, through a simula- tion study. Our purpose is to estimate the parameters in the non-life insurance claim counting process. The pa- rameters in the insurance claim counting process, inten- sity function ( t ) in terms of mean value function
if a prediction rule can adequately predict the event time, the same rule should also predict the counting process at any given time that a subject is still at risk. We propose a flexible nonparametric decision function with an additive structure for the counting process, which gives the desirable risk scores but also includes a time-varying offset to account for different at-risk population as time progresses. Empirically, we transform the prediction of an event time to predicting a sequence of binary outcomes for which algorithm such as support vector machine (SVM) is standard and commonly used. This transformation allows for the success- ful statistical learning tools designed for classification and prediction of binary outcomes to be used for censored outcomes without modeling the censoring distribution. The developed algorithm formulation is similar to the standard support vector machines and can be solved conveniently using any convex quadratic programming packages. In addition, theoretical analysis shows that the optimal rule obtained from SVHM is equivalent to maximizing the difference between the instantaneous subject-specific hazards and population-average hazard, which intuitively links SVHM to the commonly used hazards regression models in traditional survival analysis. The profile loss shares similarity with Cox partial likelihood. Under some regularity conditions, we show the universal consistency of SVHM and derive corresponding finite sample bounds on the deviation from the optimal risk. Numeric simu- lations and applications to real world studies show superior performance in distinguishing high risk versus low risk subjects.
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• Count the cell based on the sum of label The algorithm above is a standard algorithm for modeling the cell counting simulation. The main purpose of this algorithm is to simplify the algorithm for cell counting. Therefore, with this approach, cell counting process will be not time-consuming as like as manual method. By applying algorithm above and using model simulation in MATLAB, the number of entire cells in an original image is 64 for average between Sobel and Prewitt count number result.
We have already seen that number is a procept that embodies both the process of counting and the concept of number. Once number is encapsulated as a flexible procept it can be manipulated at a higher level in simple arithmetic. Count-all is but an extension of the counting process. It happens to be a fairly lengthy process, which occurs in time, so that the two numbers input to be added may be forgotten before the child counts successfully to produce the output. Thus the input and output are less likely to be linked and incidental learning of addition facts is inhibited. Count-on sees the first number as a mental object and the second as a (double) counting process. Again, the process element occurs in time, so input and output may not always be linked, but the fact that there is a proceptual number concept developing is more likely to support the development of meaningful known facts. As the latter are developed, the process of addition becomes encapsulated as the concept of sum and may become a flexible procept.
The Registry is a repository of system configuration settings and includes links to applications that need to be executed once the system has been established. The running processes access registry key for their execution. It becomes essential to identify and locate the registry key related information from the volatile memory as the traces of activity being performed on the system can be identified. This raises the importance of identifying the total number of key objects created and in use for a particular process. Further investigating the content of the key objects, can help in identifying the last access
Simplicity, nevertheless, might be a substantial incentive to try this simple process control approach. We performed an experimental study of MBY semi-hydrogenation in a 1 m tube reactor wall-coated with a 2.3 wt% Pd/C catalyst. Because the extent of the required performance margin cannot be predicted in advance, we gradually increased the reaction pressure and collected the products. The initial H 2 to MBY molar ratio was kept at 105% to ensure high MBE yield despite unavoidable over-
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So, the surface of silicone hydrogel is modified by various chemical and physical methods. MAPLE technique has been reported as an efficient way to modify the surface of biomaterial without any contamination during the deposition process. MAPLE is effective depositing delicate materials like polymers, biomolecules and other organic thin films without damaging the chemical structure at the same time. There are various parameters that are used to control the thin film formation during MAPLE process, such as laser wavelength, laser fluence, laser pulse frequency, background pressure in the chamber, target temperature, substrate temperature, type of solvent matrix, target concentration, target-substrate distance and deposition time. Silicone hydrogel is the biomaterial used in this work, which has a hydrophobic surface and its surface is modified by depositing thin films of hydrophilic polymer such as PVP to reduce irreversible protein adsorption. Silver nanoparticles have been extensively used as antibacterial reagents for over a century. We employ MAPLE technique to deposit Ag-PVP nanocomposite coating to prevent it from biofouling.
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Resources and pi-calculus: resource usage in a pi-calculus extension is studied in  but it differs from our work in many respects. For a start, their scoping construct assumes an allocation semantics while we tease scoping and allocation apart as separate constructs. The resource reclamation construct in  is at a higher level of abstraction than freec.P, and acts more like a ‘resource finalizer’ leading to garbage collection. Resource reclamation is implicit in , permitting different garbage collection policies for the same program, whereas in the resource pi-calculus resource reclamation is explicit and fixed for every program. The main difference, however, concerns the aim of the type systems: our type system ensures safe channel deallocation and reuse; the type system in  statically determines an upper bound for the number of resources used by a process and does not use substructural typing.
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optimal page replacement policy gives importance only to the page which cannot be used for the longest period of time. Constructing memory pages combination is very essential to forecast the memory pages and to measure how close a group of data is accessed together within an execution. They measure togetherness with a stack distance, which is defined as the amount of distinct data accessed between two memory references in an execution trace. We utilized lazy counting based splay tree algorithm for grouping the most frequently accessed memory pages.
of concurrency is shared-memory, their mechanism of permission splitting and counting is sur- prisingly similar to our treatment of unique assumptions. However, while their resource reading of semaphores targets implicit ownership-transfer, uniqueness typing allow us to reason about explicit ownership-transfer. Moreover, subtyping from unique to unrestricted types provides the flexibility of not counting assumptions whenever this is not required, simplifying reasoning for resources that are not deallocated or strongly updated.
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The magnetic sensor used to detect the iron sticks can detect up to the distance of 4 to 5 centimetre. And the program is written such that it can count up to 10,000 iron sticks. Once the counting of iron sticks is completed the machine stops automatically. “Automatic Counting System for Small Scale Industries “To Count Manufactured Items (Non- Defective)” we can save the power, there will be no labour problem, one can easily handle this and it is very easy to operate. The counting of the iron sticks which is shown in the LCD display in Fig.6.
Lactococcus lactis is a lactic acid bacterium of great importance for the dairy industry as a starter culture in cheese production. Strains of L. lactis selected for cheese production must have high acidification activity. Lyophilization is used as a method for preserving lactic acid bacteria cultures. However, the stress generated during the process of lyophilization affects the physiological state of the cells, leading to loss of viability and acidification activity . Some studies have suggested the need to maintain a high level of viability and acidification activity of lactic acid bacteria during freezing, lyophilization and prolonged storage [2, 3]. Therefore, studies have been carried out to improve the resistance of lactic acid bacteria to the lyophilization process. The use of protective substances  and the application of sub-lethal stress  before the lyophilization process have been employed to increase the tolerance of cells during lyophilization or freezing. However,
The cognitive screening was conducted by the use of the Mini-Mental State Exam and the Clock Drawing Test. Selective attention was assessed with the 5D, a MVT test divided into four successive parts: 1) decoding, 2) retrieving, 3) inhibiting and 4) shifting, which involve, respectively: reading, Counting, choosing, and switching a series of stimuli (Figure 1). Each part of the test is preceded by a training containing 10 items; after the instructions, the subject has four trials to correctly respond to the items. If the subject is unable to perform the training items, the test is interrupted. The items are shown in pages of 50 items (10 rows of five items) and each of them is surrounded by a rectangular frame. Previous studies attested its validity and potential for clinical use (Lang, 2002; Sedó, 2004).
In the last twenty years research on children’s acquisition of numerical skills and concepts has been a vibrant topic of enquiry amongst psychologists and educators alike. While there has been a diversity of interest between the different disciplines, there is consensus in their recognition that young children have much more mathematical knowledge and understanding than was once thought possible. One very significant finding, largely precipitated by the seminal work of Gelman and Gallistel (1978) is that children as young as three years of age may be able to count with an implicit understanding of what they are doing. Such counting is not to be thought of as the mechanistic, rote process once so derided by Piaget (1952) but rather as principled knowledge which allows children to make precise quantitative judgements as distinct from exclusively
The first barrel, with decanter function, receives water from the fish tank through an entrance on the bottom. The barrel has a round shape and, because of this, it was installed in the entrance of water one 90º elbow. In this way, the water can enter tangentiating the wall of the recipient, creating a circular movement inside. This movement is responsible to the process of decantation where the solids are retained in the bottom (Figure 4).
attendance monitoring and counting system such as RFID and biometric systems were already developed and used in various schools, workplaces etc. but those systems are not cost effective. It can also be used at workplaces to monitor attendance records of employees. For any type of organization, company needs people to operate it. Staffs and workforces of an organization are its biggest asset. So, for a business owner it is very important to make sure that he will keep a track of employees working hours. So, this system becomes very useful in different scenarios.
Available Online at www.ijpret.com 167 degrees in upward direction. The more accuracy is obtained by using upward direction. We had done the designed calculation about tray. The design roller placed on table as shown in fig. The bunch of sheet are placed between the rollers and tray surface in upward direction. The separate drive power is provided to roller. So we select the standard motor having rpm 1500 rpm. Whenever the roller start, the sheet which get contact inn roller in forward motion. As per designed calculation the pulling force for single sheet 0.7878N. when the single sheet will get motion the friction creates between the rollers and sheet. The whole roller assembly is mounted on the one mile steel rod. Having dia. 50mm. The required inertia ao singke sheet will be 2.45*10 3 kgm 2 the dead weight maintain continuous contact between rollers while sheet passing on conveyor belt. After passing single sheet the second sheet will get contact in roller. The process will completed upto last sheet.