This study considers the average system throughput and the average delay performances of subcarrier allocation algorithms in OFDMA systems. The effects of varying the number of users, the number of subcarriers, and the statistical characteristics of incoming packets are investigated on the throughput and delay performances of the algorithms. Moreover, a new subcarrier allocation algorithm with low-order computational complexity, which performs very well almost all cases, is proposed. With the aid of the simulations, the significance of channel v.s. queue state information varying with the statistical characteristic of incoming packets is examined and reached some results which can be very valuable for channel estimation and feedback systems. Finally, the stability issue is considered in OFDMA systems and a new heuristic simulation-based method for obtaining the stability region of an OFDMA subcarrier allocation algorithm is proposed.

In this thesis, a real world application of the constant work in process (Conwip) system in an electronics company is realized. The aim of the application is to reduce the work in process (WIP) inventory while maintaining the same throughput level. A model is developed to determine the constant work in process level of the Conwip system for the production lines in this company. The approximated mean value analysis approach is used for the solution. Real system data are collected before and after the Conwip application. Hypothesis tests are used to compare the WIP and the throughput levels of the Conwip system with the existing push control system for a pilot production line. Results of the hypothesis tests show that the Conwip production control system can signinifcantly reduce the WIP while maintaining the same throughput rate.

Propylene oxide (PO) is an important raw material for the chemical industry, which is produced commercially by the chlorohydrin process and hydroperoxide process. However the deficiencies in these processes have given rise to considerable interest in the development of a direct route to PO that does not produce by-products or coproducts. The development of novel, active and selective catalysts for gas phase oxidation of propylene using molecular oxygen were studied via testing a large number of catalysts by high-throughput screening method over combinatorially prepared different catalytic system in this study. v The promoted and un-promoted silver (Ag), copper (Cu), manganese (Mn) mono and bimetallic catalytic system over high and low surface area silica, alumina, titanium oxide and titanium-silicate supports were prepared by single step sol-gel method and by incipient wetness method. The study to determine the most effective catalyst and promoter in the epoxidation reaction with different reaction conditions, showed that potassium (K)- promoted Cu metal supported over high surface area silica favored the PO production at a high reaction temperature (350 &deg / C) and oxygen rich atmosphere (C3H6/O2=1.0). The catalyst showed high and low propylene oxide productivity was investigated by some of the characterization techniques. The highlydispersed copper particle over silica support was determined by XRD, TEM and XPS techniques. The only change between promoted and un-promoted catalyst was found out in the temperature dependence of propylene consumption and PO production rate. It was inferred that potassium (K) only neutralizes the acid sites of silica.

No description available.

Differentiated-Service networks is designed for solving scalability problems through traffic aggregation. However, it can't guarantee end-to-end QoS of individual flow. In this thesis, we propose a Self-Adaptive Control Scheme for Differentiated-Service networks that can improve the throughput of individual flows dynamically. In this scheme, egress routers monitor the average throughput of individual flow, and send the Self-Adaptive Control Messages to ingress routers if need. The ingress router re-allocate network resources to improve throughput of high-priority flows depending on the Control Messages. We use NS-2 simulator to prove that our scheme that can improve throughput of high-priority flows dynamically, and suggest that a better time interval of Self-Adaptive control can be determined based on the queue sizes, packets arrival rate and departure rate. Finally, we use Random Early Detection (RED) queue instead of Drop-Tail queue to reduce unfairness of individual flows when there are congestion and insufficient network resources.

Today¡¦s mobile IP supports host mobility by dynamic changing IP addresses while the mobile host roaming in the Internet. However, There still exists performance problems during handoffs, such as packet loss, throughput degradation, and so on. In this Thesis, we propose a mechanism to reduce packet loss during handoff. The packet buffering mechanism at a home agent is initiated by mobile hosts when the signal-to-noise ratio of the wireless link falls below some predefined threshold. Once the handoff has completed, the home agent immediately delivers the first packet in the buffer to the mobile host. The home agent then clears the buffered packets already received by the mobile host through the returned ACK such that no further duplicate packets are sent out. In addition, we propose a route-selection policy to reduce end-to-end transmission delay by sending out probe packets along the paths. For the purpose of demonstration, we implement the mechanism on Linux platform. Through the measurements from the experiment, we have shown that the proposed mechanism can improve the throughput and solve the packet retransmission problem while handoffs.

The objective of this research is to develop automated and integrated microsystems for high-resolution imaging and high-throughput phenotyping / laser ablation of C. elegans. These microsystems take advantage of microfluidic technology for precisely handling animals and computer-aid automation for high-throughput processing. We demonstrated automated and high-throughput imaging / sorting and laser ablation of C. elegans. This thesis work is divided into four parts: development of a microsystem for imaging and sorting, development of a microsystem for laser cell ablation, development of a novel temperature measurement method, and development of pressure measurement method in microchannels. First, a microsystem was developed for high-throughput microscopy at high resolution and sorting. The microfluidic chip integrates novel microfluidic components to trap, position, immobilize, and sort/release animals. To characterize device operation and aid design of the device numerical models were developed. The experimental results demonstrate that the device operates robustly in a completely automatable manner. Additionally, a sophisticated control algorithm developed by Matthew Crane (Dr. Hang Lu¡¯s lab) automates the entire process of image acquisition, analysis, and sorting, which allows the system to operate without human intervention. This microsystem sorted worms based on their fluorescent expression pattern with over 95% accuracy per round at a rate of several hundred worms per hour. Secondly, the technologies developed for the imaging/sorting system were adapted and further improved to develop a microsystem for high-throughput cell laser ablation of C. elegans. The multiplex ablation module combined with the embryo trap module enables robust manipulation of embryos/L1-stage C. elegans. In addition, software for image processing and automation was developed to allow high-throughput cell ablations. This system performed ablation of a large number of animals and demonstrated accurate ablation by showing behavioral defects of the ablated worms in a chemotaxis avoidance assay. Thirdly, to aid future development of the microdevices, a novel in situ method for three-dimensionally resolved temperature measurement in microchannels was developed. This method uses video-microscopy in combination with image analysis software (developed by Jaekyu Cho in Dr. Victor Breedveld¡¯s group) to measure Brownian diffusion of nanoparticles that is correlated to temperature. This method offers superior reproducibility and reduced systematic errors. In addition, we demonstrated that this method can be used to measure spatial temperature variations in three dimensions in situ. Lastly, a method for pressure measurement in microdevices was also developed through collaboration with Hyewon Lee (Dr. Hang Lu¡¯s lab) to aid further device optimization. These micro pressure-sensors are composed of two flow layers with a polydimethylsiloxane (PDMS) membrane in between. The membrane deforms as a function of pressure and its deformation is quantified by a simple image-based method. These sensors offer high-precision pressure measurement in broad sensing ranges. In addition, a pressure transduction scheme combined with imaging-based method enables multiplex pressure measurement for simultaneously detecting pressures in multiple locations in a microsystem. Overall, the technologies developed in this thesis will establish a solid basis for continuous improvement of the microsystems for multi-cellular model organisms. This high-throughput technology will facilitate a broad range of biological and medical research.

<p>Robust and efficient cleaning procedures for protein A chromatography resins used for production of monoclonal antibody based biopharmaceuticals are crucial for safe and cost efficient processes. In this master thesis the effect of different cleaning regimes with respect to ligand stability of two protein A derived media, MabSelectTM and MabSelect SuReTM, has been investigated. A 96-well format has been used for preliminary screening of different cleaning agents, contact times and temperatures. NaCl as a ligand stabilizer during cleaning-in-place (CIP) was also included as a parameter. For optimal throughput and efficiency of screening, Rectangular Experimental Design for Multi-Unit Platforms; RED-MUP, and TECAN robotic platform have been utilized. For verification of screening, selected conditions were run in column format using the parallel chromatography system ÄKTAxpressTM. In the efficiency study, where a manual preparation of CIP solutions was compared with an automated mode performed in TECAN, the total process time ended up at eight hours versus three days respectively. However, the time measured included the learning process for the TECAN platform and for further preparations the automated mode is the superior choice. The study confirmed the higher alkaline stability of MabSelect SuRe compared to MabSelect. After exposure to 0.55 M NaOH during 24h MabSelect SuRe still retained 90% of the initial capacity. In contrast MabSelect had 60% of the initial binding capacity. When CIP with 10 mM NaOH was performed at 40 °C MabSelect reduced its capacity by half while MabSelect SuRe still had a binding capacity of 80%. The 96-well screening showed that an addition of NaCl during CIP had a significant positive effect on the stability of MabSelect, but needs to be verified on column format. The correlation between results from screening in 96-well filter plate and column format was good.</p>

In diesem Vortrag wird Condor als ein Job-Managementsystem für Rechen-Cluster vorgestellt. Dabei wird Funktionsweise an einem Beispiel demonstriert und erläutert. Besonders untersucht wird das Checkpointing und Migrieren von Prozessen zwischen verschiedenen Knoten.

Thesis (M.S.)--Ball State University, 2009. / Title from PDF t.p. (viewed on Nov. 30, 2009). Includes bibliographical references (p. 74-80).