The rising environmental and financial consequences of using fossil fuels as an energy source and energy carrier are a global concern. Described herein are two hydrogen-storing technologies, each of which was envisioned as a potential solution to said consequences: hydrogen-storing polymethylpyridylsiloxanes for use as an alternative energy carrier to fossil fuels; and thermally regenerative fuel cell systems to supplement or supplant vehicular alternators. A thermally regenerative fuel cell (TRFC) system is being developed to convert waste heat from an internal combustion engine (ICE) system into electricity that can be used to power auxiliary vehicular components. The TRFC system will comprise a dehydrogenation reactor and a fuel cell positioned relative to the ICE system such that the two components are held at 200 °C and 100 °C, respectively. 1-Phenyl-1-propanol has been identified as an optimal hydrogen storing liquid (XH2) that will selectively dehydrogenate over a heterogeneous catalyst to give a dehydrogenated liquid (propiophenone, X) and H2. The heterogeneous catalyst that currently provides the best selectivity (99.65%) for X at 200 °C is Pd/SiO2. A selectivity of ≥ 99.9% was desired to obtain the longest possible operational lifetime for the working fluids XH2/X. To increase the selectivity for X from 99.65% to ≥ 99.9%, size and shape specific Pd nanoparticles were synthesized. Pd nanocubes (20 nm) provided the best selectivity for X at 99.26%. It was concluded that a reproducible selectivity for X of ≥ 99.9% was not currently obtainable, and that a selectivity for X no greater than 99 % should be assumed when calculating the working fluids’ operational lifetime. Hydrogen-storing polymethylpyridylsiloxanes were proposed as energy carrier alternatives to fossil fuels. Polymethylpyridylsiloxanes were considered, in part, due to the expansive liquid ranges of siloxane polymers [-40 ˚C to 250 ˚C]; this would allow the polymethylpyridylsiloxanes to be stored and pumped into vehicles using existing refueling infrastructure. Polymethylpyridylsiloxanes, and analogs thereof, however, were not successfully synthesized and reversibly hydrogenated: either the desired product(s) could not be synthesized, isolated, and/or purified; or, hydrogenation resulted in product decomposition. It was concluded, therefore, that implementing polymethylpyridylsiloxanes as hydrogen-storing liquids is not viable. / Thesis (Ph.D, Chemistry) -- Queen's University, 2013-12-24 01:01:16.857

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Digital forensics has become an increasingly important tool in the fight against cyber and computer-assisted crime. However, with an increasing range of technologies at people's disposal, investigators find themselves having to process and analyse many systems with large volumes of data (e.g., PCs, laptops, tablets, and smartphones) within a single case. Unfortunately, current digital forensic tools operate in an isolated manner, investigating systems and applications individually. The heterogeneity and volume of evidence place time constraints and a significant burden on investigators. Examples of heterogeneity include applications such as messaging (e.g., iMessenger, Viber, Snapchat, and WhatsApp), web browsers (e.g., Firefox and Google Chrome), and file systems (e.g., NTFS, FAT, and HFS). Being able to analyse and investigate evidence from across devices and applications in a universal and harmonized fashion would enable investigators to query all data at once. In addition, successfully prioritizing evidence and reducing the volume of data to be analysed reduces the time taken and cognitive load on the investigator. This thesis focuses on the examination and analysis phases of the digital investigation process. It explores the feasibility of dealing with big and heterogeneous data sources in order to correlate the evidence from across these evidential sources in an automated way. Therefore, a novel approach was developed to solve the heterogeneity issues of big data using three developed algorithms. The three algorithms include the harmonising, clustering, and automated identification of evidence (AIE) algorithms. The harmonisation algorithm seeks to provide an automated framework to merge similar datasets by characterising similar metadata categories and then harmonising them in a single dataset. This algorithm overcomes heterogeneity issues and makes the examination and analysis easier by analysing and investigating the evidential artefacts across devices and applications based on the categories to query data at once. Based on the merged datasets, the clustering algorithm is used to identify the evidential files and isolate the non-related files based on their metadata. Afterwards, the AIE algorithm tries to identify the cluster holding the largest number of evidential artefacts through searching based on two methods: criminal profiling activities and some information from the criminals themselves. Then, the related clusters are identified through timeline analysis and a search of associated artefacts of the files within the first cluster. A series of experiments using real-life forensic datasets were conducted to evaluate the algorithms across five different categories of datasets (i.e., messaging, graphical files, file system, internet history, and emails), each containing data from different applications across different devices. The results of the characterisation and harmonisation process show that the algorithm can merge all fields successfully, with the exception of some binary-based data found within the messaging datasets (contained within Viber and SMS). The error occurred because of a lack of information for the characterisation process to make a useful determination. However, on further analysis, it was found that the error had a minimal impact on subsequent merged data. The results of the clustering process and AIE algorithm showed the two algorithms can collaborate and identify more than 92% of evidential files.

<p>In this thesis we focused on high performance embedded real-time networks which are designed for systems like radar signalling processing systems, control systems etc. These high performance embedded networks consist of emerging standards like PCI Express, RapidIO, and standard Ethernet. All of these switched embedded networks communicate with each other through common gateway nodes. As these networks have different rate characteristics, maximum packet size (MTU), packet priorities, addressing schemes etc we have therefore defined the gateway nodes for these heterogeneous embedded networks which will allow these heterogeneous embedded networks to communicate with each other with the help of different translation functions. These gateway nodes allow end-to-end transmission across the heterogeneous embedded networks while keeping bound on end-to-end delay and guaranteed throughput. We need to have some flow control mechanism which will shape the traffic flow in the mentioned embedded networks and will avoid from buffer overflow.</p>

Multilateral well technology has been widely used in the world oil fields. There still has technical limitation of these kinds of well structure. This thesis presents a new multilateral well architecture which is more flexible and economical. The performance of new multilateral well in heterogeneous reservoirs is studied, and that is compared with vertical well architecture also. In order to study the productivity of new multilateral wells, we use a numerical simulation method to set up heterogeneous reservoir models. The three reservoir models included anisotropic permeability, shale multi-layer, and flow units. Under a pseudo-steady-state, the productivities of horizontal laterals and deviated laterals are calculated and compared. We find that new multilateral well architecture has good performance in heterogeneous reservoir. The heterogeneous properties of reservoirs influence the productivity of horizontal laterals more than deviated laterals. The shale multi-layer and flow units that dominate the fluid flow in reservoirs are important for reservoir characterization.

In this thesis we focused on high performance embedded real-time networks which are designed for systems like radar signalling processing systems, control systems etc. These high performance embedded networks consist of emerging standards like PCI Express, RapidIO, and standard Ethernet. All of these switched embedded networks communicate with each other through common gateway nodes. As these networks have different rate characteristics, maximum packet size (MTU), packet priorities, addressing schemes etc we have therefore defined the gateway nodes for these heterogeneous embedded networks which will allow these heterogeneous embedded networks to communicate with each other with the help of different translation functions. These gateway nodes allow end-to-end transmission across the heterogeneous embedded networks while keeping bound on end-to-end delay and guaranteed throughput. We need to have some flow control mechanism which will shape the traffic flow in the mentioned embedded networks and will avoid from buffer overflow.

This study is focus on solute concentration ahead of solidification front and base on holographic method by using holographic interferometry. Heterogeneous nucleation of bubbles on an advancing solidification front during freezing of water containing a dissolved gas has been experimentally and analytically studied. The formation of bubbles resulting from supersaturation of liquids is commonly encountered in different fields such as heat transfer, manufacturing, and bioscience.

Abstract In this thesis we propose a match_based scheduling algorithm for heterogeneous environment. The major difference of our algorithm from other researches is that it considers the variation of computing power with time. In our algorithm the each host is regarded as a group, their computing powers are sorted in ascending way and the ratio of each computing power with the total computing power is calculated. Similarly, the workload of tasks is classified and is sorted to the relative computing power in ascending way, then is assigned to one of host groups depending on the balance of computing power. The execution cost for each node of the task group is calculated from the task load and the computing power of host been assigned. In order to determine the priority of execution, the rank of each task is calculated from the total of the execution costs, maximum execution cost of its immediate successor, and the summation of ranks of all immediate successors. Experiment results show that the proposed algorithm has better performance than DLS (Dynamic Level Scheduling)[12], HNF (Heavy Node First)[6], WLA (Weighted Length Algorithm)[6] and DPS (Dynamic Priority Scheduling)[18], especially, for heterogeneous environment.

Thesis (M.S.)--University of Florida, 2002. / Title from title page of source document. Includes vita. Includes bibliographical references.

Exploring the benefits of heterogeneous architectures is becoming more desirable dueto migration from single core to manycore architectural systems. A fast way to explorethe heterogeneity is through an architectural design space exploration (ADSE) tool,which gives the designer the option to explore design alternatives before the actualimplementation. Heracles Designer is an ADSE tool which allows the user to modifylarge aspects of the architecture. At present, Heracles Designer is equipped with asingle type of processing core, a MIPS CPU.We have extended the Heracles System in order to enable the system to model het-erogeneity. Our system is called the Heterogeneous Heracles System (HHS), where adifferent type of processing core, the OpenRISC CPU, is interfaced into the HeraclesSystem. Test programs are executed on both the MIPS and OpenRISC CPUs, whichhave provided promising results. In order to provide the designer with the option tomodify the system architecture without changing the source code, a GUI named AD-SET was created. ADSET provides the designer with the ability to modify the coresettings, memory system configuration and network topology configuration.In the HHS the MIPS core can only execute basic instructions, while the OpenRISCcan execute more advanced instructions, giving a designer the option to explore theeffects of heterogeneity based on the big little architectural concept. The results of ourwork provides an infrastructure on how to integrate different types of processing coresinto the HHS.