M/D/1

The queueing M/D/1 of queues that did not taking the right of study, especially when adding some concepts of loss of impatient. Oliver [1] in 1968 he studied the waiting time distribution for the constant service queue (M/D/1). Iversen [2] studied exact calculation of waiting time distributions in queueing systems with constant holding times. Iversen and Staalhagen [3] in 1999 he studied waiting time distribution in queue M/D/1. Brun and Garcia [4] derived an analytical solution of finite capacity for queue M/D/1. Koba [5] search Stability condition for M/D/1 retrial queuing system with a limited waiting time. Also Koba [6] in 2000 studied the An M/D/1 queuing system with partial synchronization of its incoming flow and demands repeating at constant intervals. A series expansion for the stationary probabilities of an M/D/1 queue is obtained by Nakagawa [7]. And, Prasad and Usha [10] in 2015 studied comparison between M/M/1 and M/D/1 queuing models to vehicular traffic at Kannyakumari district. Other related studies are presented by Hussain et al. [11], Kim and Kim [12] and Baek et al. [13]. Recently, Kotobi and Bilén [14] focused Spectrum sharing via hybrid cognitive players evaluated by an M/D/1 queuing model.

Abstract—With the advent of 3G mobile communication system, the traffic of wired and wireless networks become voice/video - data integrated service. For real time operation of voice and video signals, circuit switch traffic or Markovian traffic is the best fitted but for data traffic where small amount of delay is tolerable, the non-Markovian traffic like service time of general distribution with finite buffer is preferable. In this paper, Markov modulated Poisson process (MMPP) traffic, which is in concise form of Markovian chain, is used for multimedia traffic and M/D/1 traffic of fixed length packet is considered for asynchronous transfer mode (ATM) cell. The combined model becomes MMPP + M/D/1 traffic, which is used to get the probability density function and mean delay of a voice/video-integrated network.

M D queues, a combination of M M 1 and M D 1 queues, the case when no priority units arrive at the sys- tem and the case when no non-priority units arrive at the system. Further, with p = 0, the results of all the particu- lar cases of this paper agree with the corresponding par- ticular cases of Madan and Abu-Dayyeah [9].

In this paper, we investigate a Stackelberg competi- tion with the primary user as leader and find that in the Stackelberg game, the leader can improve its utility by influencing the follower’s decision using its advertised cost function and the number of followers accepted into the network. For a given stable system and for feasible transmission rate sets, based on the number of primary and secondary users, we find a Nash equilibrium for primary and secondary users. We study a network of cog- nitive radios competing to access the spectrum that are either cooperative or non-cooperative. We introduce a hybrid player, i.e., one which is both cooperative and non- cooperative. Using a Stackelberg game strategy, we evalu- ate the improvement in performance of the cognitive play- ers using an M/D/1 queuing model. We use altruism to monitor the spectrum usage and find the non-cooperative players. We also study a Stackelberg competition with primary users as leaders and investigate the impact of multiple leaders by modeling the wireless channel as an M/D/1 queue.

Due to the constant evolution of HIV and regular addi- tion of new sequences in public databases, uncertain- ties about HIV-1 classification have regularly emerged. For example, the previous classification proposal did no resolve whether subtypes F and K represented two differ- ent subtypes or sub-subtypes [1]. Our results support the notion that they represent two different subtypes, since they exhibit genetic distances within in the range of other inter-subtype comparisons. A few previous studies also reported large genetic diversity among existing subtypes, as for subtype C [26, 27]. However, in our current work we did not find enough genetic variations within any other subtypes than subtypes A and D to define specific clades according to the current classification rules.

experimental GIXS patterns are presented in Figure 6a (averaged over 18 simulation orientations) and Figure 6b (Reprinted with permission from [73]. Copyright 2012 American Chemical Society). Both experimental and predicted structures are characterized by bright reflections extending vertically along the out-of-plane axis with reciprocal spacing of 0.38 ± 0.02 Å −1 (corresponding to real-space separation of 16.5 Å) and the narrow peak perpendicular to the [100] direction at 1.68 ± 0.02 Å −1 (corresponding to a real-space separation of 3.74 Å). To connect these scattering features to morphological features, we present the ordered morphology in Figure 7a, which shows lamellae of π-stacked thiophene rings (shown with dark blue CA and yellow S), and aliphatic tails (cyan CT). It is the periodic π-stacking at ∼ 3.7 Å and perpendicular alkyl-stacking at 16.5 Å responsible for the ∼ 1.7 and 0.4 Å −1 features that are observed in the GIXS patterns. The agreement between experimental and predicted structures demonstrates the present OPLS-UA model is capable of efficiently and quantitatively predicting ordered P3HT structures within three weeks of simulation on a single GPU. Also similar to the structures seen experimentally, the lamellae in the ordered system do not represent a single, perfect crystal, but rather multiple crystallites with various grain orientations. The thiophene rings in these grains are depicted by red, blue, and yellow in Figure 7b.

The Timer block generates a signal changing at specified transition times. Use this block to generate a logical signal (0 or 1 amplitudes) and control the opening and closing times of power switches like the Breaker block and the Ideal Switch block. You can also use this block to generate a signal whose amplitude changes by steps at specified transition times. It comprises of control unit which will automatically disconnect the faulty portion without harming the whole power system. The logic unit mainly comprises of timer circuit which will automatically disconnect the entire circuit during faulty condition.

Tumors arising from the minor salivary glands are uncommon clinical entities. Among them the palate is the most commonly affected site followed by the upper lip and buccal mucosa respectively [5]. Pleomorphic adenoma is considered to be the most common benign salivary gland tumor. Our literature search indicated that eighty-four percent of pleomorphic adenomas occur in the parotid gland, eight percent in the submandibular gland, and four to six percent in the minor salivary glands. Spiro et al. conducted a study o patients with salivary gland neoplasia in which he reported that twenty to forty percent of all salivary gland tumors arise from minor salivary glands. [7], mostly seen in fourth to sixth decades of life with a slight predilection for female gender. This case report is consistent with the finding of gender. Rahnama et reported that etiology of pleomorphic adenomais, in 70%, result of chromosome abnormalities involving pleomor adenoma gene 1 (Plag 1) located on 8q12 and 12q15 [8].

The lowest values of the dissolved oxygen concentration, which is reflected by the high organic load in the raw wastewater, and the presence of a bacterial activity consuming the disso[r]

When fitting the surface displacements with both power law and log-periodic behavior in real time, it is not only possible to assess the critical time, but also the time at which the de- rived velocities are expected to reach a given threshold. Fit- ting and estimating the time at which the velocity reaches a given threshold provides a more accurate way to predict the real break-off event. We developed software based on this idea by fitting the measurements with both power law and log-periodic behavior in real time, and thus providing an esti- mate of the break-off time. Note that the proposed method for determining the break-off time depends on the choice of the threshold velocity; choosing a small threshold value is con- servative in terms of security as a smaller velocity is reached first for the same fit. Moreover using a range of threshold ve- locity for estimating the break-off time allows a time interval to be provided in which the break-off event is likely to occur. According to our knowledge, it is not possible to know in advance the velocity at which break-off will occur. How- ever, from previous events (Weisshorn 1973 and 2005 event, Flotron, 1977; Röthlisberger, 1981; Faillettaz et al., 2008), it seems that break-off occurs between 0.5 and 1.2 m d −1 ; but this is based on a restricted number of events.

The results are mean ± SEM of 2 determinations. The weights gained are expressed as in kg. Values of treatment 6and 7had no significant (P<0.005) differences and both processing method (Raw and fermentation without) had a favourable weight gain compared with the control. The results carrying different letters were significantly different (P<0.005). a, b, c, d, e are means within the same columns with different superscripts that are significantly different.BBG= Boiled Bambara groundnut, SBG = Soaked Bambara groundnut, FBG (wo) = Fermentation without decantation, FBG(w) = Fermentation with decantation, RBG = Roasted Bambara Groundnut, NFE= Nitrogen Free Energy.

This paper is organized as follows. In Section , we construct a proto Green function that becomes the origin of the Green function from the corresponding eigenvalue problem. In Section , we construct the Green function from the proto Green function as to satisfy the properties of reproducing kernel. We call the technique symmetric orthogonalization method []. In the method, Whipple’s theorem concerning the hypergeometric series has an important role. In Section , we show that the Green function is the reproducing kernel for H and ( · , · ) M . After deriving the Sobolev inequality, we give the proof of (.).

Inspection ............................................................................................................................................ 1-1 Packaging and Storage ........................................................................................................................ 1-1 Site Requirements ............................................................................................................................... 1-1 AC Power and Grounding Requirements............................................................................................ 1-3 KSU Mounting Considerations ........................................................................................................... 1-5 Reserve Power Battery ........................................................................................................................ 1-8 Power Supply Removal and Replacement .......................................................................................... 1-9 Printed Circuit Board (PCB) Installation .......................................................................................... 1-11 Built-in CO Line, Digital, Telephone, and Other Circuits ................................................................ 1-13 QCDU2 CO Line Digital Telephone Interface Unit ......................................................................... 1-14 QSTU2A Standard Telephone Interface Unit ................................................................................... 1-16 QRCU3 DTMF Receiver/ABR Tone Detector Unit ......................................................................... 1-18 WSIU1 Serial Interface Board .......................................................................................................... 1-19 DK8/DK14 Compatibility ................................................................................................................. 1-21 DK14 Secondary Protection.............................................................................................................. 1-22 DK14 Wiring Diagrams .................................................................................................................... 1-23

Analytical methods are required to characterize drug substances and drug products composition during all phases of pharmaceutical development in the recent era. Standard analytical procedure for newer drugs or formulation may not be available in pharmacopoeia. Hence, it is essential to develop newer analytical methods, which are accurate, precise, and specific, linear, simple and rapid. From the extensive literature survey, it was revealed that there were a very few methods reported for the estimation of Dicloxacillin Sodium from plasma and for Pharmaceuticals dosage forms. Therefore, here an attempt was made to develop simple, cost, effective, and accurate for the estimation of Dicloxacillin Sodium in bulk and in capsule dosage forms (Anonymous 1-3).

from V (G) to D such that no edge of G is mapped to a 0 of M and no non-edge to a 1. We give a computer-assisted proof that, when | D | = 4, the problem of counting the M -partitions of an input graph is either in FP or is #P-complete. Tractability is proved by reduction to the related problem of counting list M -partitions; intractability is shown using a gadget construction and interpolation. We use a computer program to determine which of the two cases holds for all but a small number of matrices, which we resolve manually to establish the dichotomy. We conjecture that the dichotomy also holds for | D | > 4. More specifically, we conjecture that, for any symmetric matrix M ∈ { 0, 1, ∗} D×D , the complexity of counting M -partitions is the same as the related problem

and varicella-zoster virus (VZV) in lesion swabs and then for respiratory viruses (16). When pooled monoclonal antibodies with dual fluorescent labels became available in 1998 and 1999, the lab conducted the initial clinical studies and was the first to introduce the test into routine clinical use (17, 18). Multiple respiratory viruses could now be efficiently detected within 1 to 2 hours with sensitivity similar to that of culture, with an immediate impact on patient care. “Marie worked tirelessly to ensure that sample quality, test utilization, and interpretation were optimal and well understood. Her efforts made a huge difference in how DFA testing was deployed and used at Yale New Haven,” commented Ferguson. While virology had been appreciated by services caring for transplant recipients, HIV patients, and pediatric patients, the impact of rapid on-demand respiratory virus DFA testing caught the attention of hospital administra- tion and the clinical virology laboratory, and Marie’s work was suddenly recognized as a valued resource for infection prevention and bed management, especially in flu season. Over the years, the virology laboratory grew from 3 to 18 staff.

         , we denote by A [ | ]   the k x k submatrix of A contained in the rows indexed by  1 ,...,  k and columns indexed by  1 ,...,  k . A matrix A is called totally positive (abbreviated TP) if det A [ | ]   >0 and totally nonnegative (abbreviated TN) if det A [ | ]    0 for all   ,  Q k n , ,k=1,2,…,n. For a given index   { ,...,  1  k } ,with property  j   j  1 , j=1,..,k-1, the dispersion of  , denoted by d(  ), is defined

d Segment width m D Structural width m n Number of segments K0 Reference structural stiffness kN m-1 K Structural stiffness kN m-1 ωn Angular natural frequency of structure rad s-1 fn Na[r]

Adomian has developed a numerical technique for solving functional equations. This method well addressed in [1–3] has been applied to solve many functional equations and systems of functional equations. The homotopy perturbation method (HPM) was established by Ji-Huan He in 1999. In this method, the solution is considered as the sum of an infinite series, which converges rapidly to accurate solutions .It is also a powerful and efficient technique for solving non-linear functional equations,without the need of linearization process. H.P.M is a combination of the perturbation and Homotopy methods. It constructed with an embedding parameter p ∈ [0,1] which is considered as a small parameter. In recent years, some applications of the perturbation techniques [4-8] for non-linear problems have been studied. Artificial small parameter method has been introduced by lyapunov, which is usually applied to solve non-linear functional equations. In this method an artificial parameter is as a factor to non-linear part of equation [9-10]. in this paper we show that the ADM, APM and HPM are equivalence for functional equations.

Однако нестабильность отдельных национальных экономик, взаимосвязанных в глобальной среде, влечет за собой дестабилизацию мировой финансовой системы, что сказывается на возможности финансирования природоохранных направлений деятельности, поскольку на последние в условиях кризиса средства выделяются в основном по остаточному принципу. Наряду с этим, в результате глобализационных процессов усиливаются диспропорции в мировой экономике – растет разрыв между развитыми и развивающимися странами, так как преимуществами глобализации в первую очередь пользуются развитые страны [1].