In recent years, the costs of Information Technology (IT) practices have been increasing quickly on the wake of technological complexity and more market-oriented strategies which make the value chains of the corporations more complicate. Most of these costs do not associate with the products, but to the customers of market segments and distribution channels. This paper presents that the firms are going to pursuit to realize the sale price of their products and services. That is why the procedures of market-driven cost and customer-driven management have found popularity. This research is one the applied researches and the aim is to explain costing approach based on activity as a process and accounting tool of the strategic management as well. For this reason, a new model of costing is introduced as CASCADE Costing, by which the customer orientation is added to cost management processes based on activity – driven costing approach. In this paper, we will arrange a case study on IT department of one of the United Arabic Emirates (UAE) banks which uses developed model of activity-based costing. We also will explain how activity-based costing method promotes to a process that compares the performances of different customers; in other words, we describe Customer – Driven Activity-Based Costing. Finally, as a consequence, in order to compute profit more precisely, it is better to use developed approaches of activity-based costing than traditional alternatives. To do so with greater ease, we can consider using of CASCADE costing approach as well.

A simple semi-phenomenological model, which accurately predicts the dependence of threshold current for temperature of Resonant-phonon three well quantum CASCADE laser based on vertical transitions is offered. We found that, the longitude optical phonon scattering of thermally excited electrons is the most important limiting factor for thermal performance of high frequency THz QCLs. In low frequency region, parasitic current increases the threshold current. Based on our model the use of materials with higher longitude optical phonon energy such as InGaAs/GaAsSb and decreasing the lower laser level lifetime can increase the maximum performance temperature. Our observations may can be used to understand the notion of the effects of thermal electrons on reduction of laser performance.

The unstable flow with rotating-stall-like (RS) effects in a rotor-CASCADE of an axial compressor was numerically investigated. The RS was captured with the reduction in mass flow rate and increasing of exit static pressure with respect to design operating condition of the single rotor. The oscillatory velocity traces during the stall propagation showed that the RS vortices repeat periodically, and the mass flow rate was highly affected by the blockage areas made by stall vortices. The results also showed that large scale vortices highly affects on the generation and growth of the new vortices. An unsteady two-dimensional finite-volume solver was employed for the numerical study which was developed based on Van Leer’s flux splitting algorithm in conjunction with TVD limiters and the κ-ε turbulence model was also employed. The good agreement of the computed mass flow rate with the experimental results validates the numerical study.

We present an optimized design for GaAs/AlGaAs quantum CASCADE lasers operating at 4.1THz. This was based on a three-well active module with diagonal radiative transition. This was performed by modifying the existing model structure, to reduce the parasitic anticrossings (leakage currents) as well as the optical gain linewidth. While the gain FWHM was reduced by more than 50% the gain peak was increased by about 23.3%.

Amid the previous three decades, the topic of image processing has gained vital name and recognition among researchers because of their frequent look in varied and widespread applications within the field of various branches of science and engineering. As an example, image processing is helpful to issues in signature recognition, digital video processing, remote sensing and finance. Image processing models are used for detecting the face. The aim of this thesis is to solve the face-detection in the first attempt using the Haar-CASCADE classifier from images containing simple and complex backgrounds. It is one of the preeminent detectors in terms of reliability and speed. We introduced a new method to deal with the frontal face images by using a modified Haar CASCADE algorithm. By using this algorithm, we can detect the image as well as the coordinates. The main attraction of this paper is to solve different types of images having one object, two objects, and three objects which can’ t be solved by any of the existing methods but can be solved by our proposed method.

Among the noble gases, Xenon isotopes are the most widely used. So far, no specific strategy has been published for separating all Xenon stable isotopes with the highest number of stable isotopes. In this research, a computational code, SQCAS, is prepared to determine the target isotope separation strategy in light or heavy current. The prepared code investigates the separation of the natural isotopes in proportion to the feed concentration by changing the parameters of the square CASCADE and modeling it at each step. All stable isotopes of natural xenon are separated using a square CASCADE in 32 steps for the certain feed (200kg). The proposed square CASCADE has 20 stages. In each stage, 10 centrifuges were used. Also, the separation factor for the unit mass difference in this research equals 1. 2. Using this strategy, the enrichment of nine isotopes increases from 0. 9393, 0. 0009, 0. 01917, 0. 2644, 0. 408, 0. 2118, 0. 2689, 0. 1044, and 0. 087 to 98. 72%, 91. 3%, 92. 79%, 92. 63%, 83. 77%, 90. 12%, 91. 64%, 95. 68%, and 99. 04%, respectively. The results show that the highest recovery is related to the end isotopes, and the lowest recovery is related to Xe-135 isotope.