In frequency-hopping (FH) system, the signal is not only impaired by receiver thermal noise, but also impaired by jamming, interference or multipath fading. Therefore, diversity techniques are used to reduce these impairments. Two systems are considered in this thesis, the first one is fast frequency-hopping/M-ary frequency-shift-keying (FFH/MFSK) System and the second one is fast frequency-hopping multiple access/M-ary frequency-shift-keying system (FFHMA/MFSK) System. In the first system, we consider three cases, multitone jamming (MTJ), broad-band noise jamming (BBN) and partial-band noise jamming (PBN).In the second system, we consider multiuser cases with multiple access interference, frequency-selective fading, and AWGN channels. In this thesis, two modified diversity combining methods are proposed. These methods are modified product and Order Statistics-Normalized Envelope Detection (OSNED) methods by adding the reliable order statistics. From simulation results, these methods can effectively combat multitone jamming and partial-band noise jamming. When comparing with product and OSNED in multiple access interference channel and frequency-selective fading channels, the proposed methods have better performance at high SNR. The proposed methods also do not need the additional side information as hard limiting majority vote (HLMV) and soft limiting combiner (SLC) needed.

Fast Fourier transformation (FFT) is a powerful analytical tool with wide-ranging applications in many fields. The standard FFT algorithms inherently assume that the length of the input and output sequence are equal. In practice, it is not always an accurate assumption. In certain case only some of the inputs to the transformation function are non-zero but lot of other are zero. In this thesis, a novel architecture of a 1024-point FFT, which adopts the transform decomposition (TD) algorithm, is presented to further reduce the complexity when the non-zero input data are consecutive. To implement this FFT processor, fixed point simulation is a conducted by using MATLB. The hardware implementation is realized by using the Verilog Hardware Description Language (HDL) which is taped out in TSMC0.18 Cell-Based Library for system verification.

No description available.

The purpose of this work is to investigate the implementation of nitride fuels containing little or no uranium in a fast-spectrum nuclear reactor to reduce the amount of plutonium and minor actinides in spent nuclear fuel destined for the Yucca Mountain Repository. A two tier recycling strategy is proposed. Thermal spectrum transmutation systems converted from the existing LWR fleet were modeled for the first tier, and the Japanese fast reactor MONJU was used for the fast-spectrum transmutation. The modeling was performed with the Monteburns code. Transmutation performance was investigated as well as delayed neutron fraction, heat generation rates, and radioactivity of the spent material in the short and long term for the different transmutation fuel cycles. A two-tier recycling strategy incorporating fast and thermal transmutation with uranium-free nitride fuel was shown to reduce the long-term heat generation rates and radioactivity of the spent nuclear fuel inventory.

No description available.

No description available.

Thesis (M.S.)--University of Michigan, 1985.

Thesis (MIHM)--AUT University, 2009. / Includes bibliographical references. Also held in print (ix, 245 leaves : ill. ; 30 cm. + 2 DVDs) in the Archive at the City Campus (T 394.1209932 NEI)

Thesis (M.A.)--Boston University / Cocaine use among opioid dependent persons is common, with an estimated 40 to 70% of those seeking treatment for opioid dependence, also using cocaine (Sullivan et al., 2011 ). The effects of cocaine use on treatment outcomes for those seeking medication assisted treatment (MAT) for opioid dependence are not well understood. Buprenorphine, prescribed under the brand name Suboxone, has recently emerged as a convenient, effective method of MAT. The Facilitated Access to Substance Abuse Treatment with Prevention And Treatment of HIV (FAST PATH) program at Boston Medical Center, is a research study to provide substance abuse treatment along with primary care and HIV risk-reduction counseling to those afflicted with these epidemics. The objective of this study was to determine the association of cocaine use with treatment retention and opioid abstinence at six months for patients receiving buprenorphine in the FAST PATH program. A prospective cohort study was conducted on 116 patients enrolled in the FAST PATH program through 02/01/2012. Assessments were conducted at baseline and six months to evaluate the association between baseline cocaine use and treatment retention as well as opioid abstinence at six months. Baseline cocaine use was measured by either any urine toxicology screen positive for cocaine prior to study enrollment or 30 day self-reported cocaine use on the initial assessment. Of the 116 participants, 39% were positive for cocaine use at baseline and 52% were HIV positive. Baseline cocaine use had no effect significant on treatment retention or opioid abstinence at six months. Among all the participant characteristics measured, there were no significant differences between the cocaine positive (n=45) and cocaine negative (n=71) groups. In adjusted analysis, age was the only covariate which was significant at predicting the odds of treatment retention or opioid abstinence with a 1.11 (p-value = 0.0003) and 1.08 (p-value = 0.02) greater odds of each, respectively. Although cocaine use did not affect the dependent variables, integrated substance abuse and primary care clinics utilizing buprenorphine are a rich area of future research. Specifically, subsequent studies should determine how varied groups of opioid dependent persons perform within this framework, and the underlying characteristics moderating their outcomes.

The main topic of this licentiate thesis is fast faultdetection. The thesis summaries the work performed in theproject“Fast fault detection for distributionsystems”. In the first chapters of the thesis the term“fast”is used in a general manner. The term is laterdefined based upon considerations and conclusions made in thefirst chapters and then related to a specific time. To be able to understand and appreciate why fast faultdetection is necessary, power system faults and theirconsequences are briefly discussed. The consequences of a faultare dependent of a number of different factors, one of thefactors being the duration of the fault. The importance of the speed of the fault detection dependson the type of equipment used to clear the fault. A circuitbreaker which interrupt currents only when they pass through anatural zero crossing might be less dependent on the speed ofthe fault detection than a fault current limiter which limitsthe fault current before it has reached its first prospectivecurrent peak. In order to be able to detect a fault in a power system, thepower system must be observed, i.e., measurements of relevantquantities must be performed so that the fault detectionequipment can obtain information of the state of the system.The fault detection equipment and some general methods of faultdetection are briefly described. Some algorithms and their possible adaptation to fast faultdetection are described. A common principle of many algorithmsare that they assume that either a signal or the power systemobject can be described by a model. Sampled data values arethen fitted to the model so that an estimate of relevantparameters needed for fault detection is obtained. An algorithmwhich do not fit samples to a model but use instantaneouscurrent values for fault detection is also described andevaluated. Since the exact state of a power system never is known dueto variations in power production and load, a model of thepower system or of the signal can never be perfect, i.e., theestimated parameter can never be truly correct. Furthermore,errors from the data acquisition system contribute to the totalerror of the estimated parameter. Two case studies are used to study the performance of the(modified) algorithms. For those studies it has been shown thatthe algorithms can detect a fault within approximately 1msafter fault inception and that one of the algorithms candiscriminate between a fault and two types of common powersystem transients (capacitor and transformer energization). The second case study introduced a system with two sourceswhich required a directional algorithm to discriminate betweenfaults inside or outside the protection zone. It is concluded that under certain assumptions it ispossible to detect power system faults within approximately 1msand that it is possible to discriminate a power system faultfrom power system transient that regularly occurs within powersystems but which not are faults. / NR 20140805