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Search Results: 1 - 10 of 213 matches for " Kianoush Kashani "
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A Computational Approach to Financial Option Pricing Using Quasi Monte Carlo Methods via Variance Reduction Techniques  [PDF]
Farshid Mehrdoust, Kianoush Fathi Vajargah
Journal of Mathematical Finance (JMF) , 2012, DOI: 10.4236/jmf.2012.22021
Abstract: In this paper, we consider two types of pricing option in financial markets using quasi Monte Carlo algorithm with variance reduction procedures. We evaluate Asian-style and European-style options pricing based on Black-Scholes model. Finally, some numerical results presented.
Sensor Network Self-Localization Using Fuzzy Logic
Sanaz Kianoush,Arash Dana
Majlesi Journal of Electrical Engineering , 2007, DOI: 10.1234/mjee.v1i3.34
Abstract: Location awareness is an important capability for a series of enhanced wireless businesses. sensor networks are dense wireless networks of small low cost sensors, which collect and disseminate environmental data, for monitoring, military application and so on. Localization is an unconstrained optimization problem. position estimation is based on various, distance / path measures, which include anchor and non-anchor nodes. Anchor positions, have been predetermined to help us localize other nodes. This study proposes using a combination of fuzzy techniques, and advanced APS method, to estimate unknown nodes. In a network with twenty hundred nodes of which twenty percent operates as anchors. These nodes localize the other one hundred and sixties. It is necessary to select the best four anchors for localizing. We suppose that the anchors neighbor to unknown nodes are the best. It is time-consuming to find the distance of unknown anchors in such a widespread network. Using the fuzzy logic, putting the limitation of distance, and selecting the nearest anchor to the unknown node, the nearest four anchoress can be selected. In this case the rate of localization error will be decreased due to selecting neighbor anchors. Therefore, we can localize nodes by using ad-hoc positioning system. Fuzzy rules help us to estimate position in less than 2.4 seconds with mean normal positioning deviation of z =0.4597.
Retinopathy of Prematurity
AA Kashani
Iranian Journal of Pediatrics , 2000,
Resource Allocation for Selection-Based Cooperative OFDM Networks
Kianoush Hosseini,Raviraj S. Adve
Mathematics , 2011,
Abstract: This paper considers resource allocation to achieve max-min fairness in a selection-based orthogonal frequency division multiplexing network wherein source nodes are assisted by fixed decode-and-forward relays. The joint problem of transmission strategy selection, relay assignment, and power allocation is a combinatorial problem with exponential complexity. To develop effective solutions to these questions, we approach these problems in two stages. The first set of problems assume ideal source-relay channels; this simplification helps illustrate our general methodology and also why our solutions provide tight bounds. We then formulate the general problem of transmission strategy selection, relay assignment, and power allocation at the sources and relays considering all communication channels, i.e., finite power source-relay channels. In both sets of problems mentioned so far, transmissions over subcarriers are assumed to be independent. However, given the attendant problems of synchronization and the implementation using a FFT/IFFT pair, resource allocation at the subcarrier level appears impractical. We, therefore, consider resource allocation at the level of an entire OFDM block. While optimal resource management requires an exhaustive search, we develop tight bounds with lower complexity. Finally, we propose a decentralized block-based relaying scheme. Simulation results using the COST-231 channel model show that this scheme yields close-to-optimal performance while offering many computational benefits.
Urine Concentration of Nuclear Matrix Protein 22 for Diagnosis of Transitional Cell Carcinoma of Bladder
Hassan Jamshidian,Kianoush Kor,Mahmoud Djalali
Urology Journal , 2008,
Abstract: Introduction: The aim of this study was to determine the diagnostic value of urine nuclear matrix protein 22 (NMP22) level in detection of transitional cell carcinoma (TCC) of the bladder. Materials and Methods: A total of 76 patients with newly-diagnosed or recurrent TCC and 75 controls without urinary tract disorders participated in this study. A urine sample was obtained for measurement of the NMP22 level using the enzyme-linked immunoabsorbent assay. The resulted values were evaluated in comparison with the results of pathologic examination. Results: A total of 76 patients with TCC of the bladder and 75 volunteers without TCC were enrolled in the study. The mean level of urine NMP22 had an increasing trend associated with tumor grade (P = .01) and tumor stage (P < .001). In participants without TCC, the mean urinary NMP22 level was 5.48 ± 6.34 U/mL, while this value was 25.01 ± 35.33 U/mL in patients with TCC of the bladder (P < .001). The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of urine NMP22 for detection of TCC were 75.5%, 86.7%, 85.1%, 77.4%, and 80.8%, respectively. The sensitivity of NMP22 in detecting stage Ta tumors appeared to be low (31.3%), but for grade 1 tumors, the sensitivity was 66.7%. Conclusion: Measurement of urine NMP22 is a noninvasive, highly sensitive, and specific method for detecting TCC of the bladder and estimating its grade and stage. Further studies can be helpful to determine whether it can be used in clinical practice.
Supercritical fluids technology in bioprocess industries: A review
Kianoush Khosravi Darani*,Mohammad Reza Mozafari
Journal of Biochemical Technology , 2009,
Abstract: This article reviews the fundamentals of supercritical fluid (SCF)science and moves on to the biotechnological applications of theme.g. removal of biostatic agents from fermentation broths, SCFdisruption of microorganisms, destruction of industrial waste, thegas-antisolvent crystallization and micron-size particle formation.Also gaining ground is enzymatic catalysis in supercritical carbondioxide (SC-CO2), which offers the possibility of integratedsynthesis product recovery processes. The paper is structured asfollows: first, the effects of dense SC-CO2 on the extraction ofbiomaterials and disruption of cells are thoroughly reported anddiscussed. Then the application of SC-CO2 in particle formation andmodifications of biopolymers and enzymes are described. Ingeneral, the article is focused on potential bio-industrial applications and future research needs of the SCF technology.
Large-Scale MIMO versus Network MIMO for Multicell Interference Mitigation
Kianoush Hosseini,Wei Yu,Raviraj S. Adve
Mathematics , 2014, DOI: 10.1109/JSTSP.2014.2327594
Abstract: This paper compares two important downlink multicell interference mitigation techniques, namely, large-scale (LS) multiple-input multiple-output (MIMO) and network MIMO. We consider a cooperative wireless cellular system operating in time-division duplex (TDD) mode, wherein each cooperating cluster includes $B$ base-stations (BSs), each equipped with multiple antennas and scheduling $K$ single-antenna users. In an LS-MIMO system, each BS employs $BM$ antennas not only to serve its scheduled users, but also to null out interference caused to the other users within the cooperating cluster using zero-forcing (ZF) beamforming. In a network MIMO system, each BS is equipped with only $M$ antennas, but interference cancellation is realized by data and channel state information exchange over the backhaul links and joint downlink transmission using ZF beamforming. Both systems are able to completely eliminate intra-cluster interference and to provide the same number of spatial degrees of freedom per user. Assuming the uplink-downlink channel reciprocity provided by TDD, both systems are subject to identical channel acquisition overhead during the uplink pilot transmission stage. Further, the available sum power at each cluster is fixed and assumed to be equally distributed across the downlink beams in both systems. Building upon the channel distribution functions and using tools from stochastic ordering, this paper shows, however, that from a performance point of view, users experience better quality of service, averaged over small-scale fading, under an LS-MIMO system than a network MIMO system. Numerical simulations for a multicell network reveal that this conclusion also holds true with regularized ZF beamforming scheme. Hence, given the likely lower cost of adding excess number of antennas at each BS, LS-MIMO could be the preferred route toward interference mitigation in cellular networks.
Psychiatric disorders and pregnancy
"SH. Akhondzadeh,L. Kashani "
Tehran University Medical Journal , 2006,
Abstract: Psychiatric disorders are common in women during their childbearing years. Special considerations are needed when psychotic disorders present during pregnancy. Early identification and treatment of psychiatric disorders in pregnancy can prevent morbidity in pregnancy and in postpartum with the concomitant risks to mother and baby. Nevertheless, diagnosis of psychiatric illnesses during pregnancy is made more difficult by the overlap between symptoms of the disorders and symptoms of pregnancy. In majority of cases both psychotherapy and pharmacotherapy should be considered. However, psychiatric disorders in pregnancy are often under treated because of concerns about potential harmful effects of medication. This paper reviews findings about the presentation and course of major psychiatric disorders during pregnancy.
The antero posterior relation of maxilla with saddle angle
Ravanmehr H,Kashani K
Journal of Dental Medicine , 1999,
Abstract: Facial prognathism, which is a problem in some orthodontic patients, is characterized by a number of cephalometric changes. Most clinicians use SNA angle in lateral cephalometric analysis to evaluate the amount of maxillary prognathism. Since SNA angle is not a reliable measurement for maxillary prognathism, and taking into account that the amount of prognathism changes in relation to cranial anatomy, according to Bjork it's better to measure the facial prognathism by the angle between anterior and posterior cranial base. According, two angles are recommended NSBa and NSAr."nIn this study 80 lateral cephalograms from three malocclusion groups, were studied and the amount of maxillary prognathism in relation to SNA and NSAr angles and their relationship to each other were measured."nThe results were as follows:"n1- Studying facial prognathism in relation to SNA and NSAr angles it was found that SNA angle is influenced by cranial base shape"n2- The mean value of anterior and posterior cranial bases didn't show significant differences."n3- The mean value of SNA angle didn't show significant statistical difference in various malocclusion groups."n4- The correlation coefficient of ANB angle and wit's measurement is low.
New generation of antidepressants in pregnant women
Ladan Kashani,Shahin Akhondzadeh
Journal of Family and Reproductive Health , 2007,
Abstract: "nAlthough pregnancy was once thought to protect against psychiatric disorders, gravid and non gravid women have similar risks for major depression, at 10% to 15%. Both depression and antidepressant treatment during pregnancy have been associated with risks. Few medications have been proved unequivocally safe during pregnancy. Although certain antidepressants have not been linked with an increased risk of birth defects or impaired development including bupropion, citalopram, escitalopram and venlafaxine, the latest studies aren't necessarily reassuring. As researchers continue to learn more about antidepressants, the risks and benefits of taking the drugs during pregnancy must be weighed carefully on a case-by-case basis. This review discusses about the use of new generation of antidepressants in pregnancy
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