Wireless Mesh Networking is envisioned as an economically viable paradigm and a promising technology in providing wireless broadband services. The wireless mesh backbone consists of fixed mesh routers that interconnect different mesh clients to themselves and to the wireline backbone network. In order to approach the wireline servicing level and provide same or near QoS guarantees to different traffic flows, the wireless mesh backbone should be quality-of-service (QoS) aware. A key factor in designing protocols for a wireless mesh network (WMN) is to exploit its distinct characteristics, mainly immobility of mesh routers and less-constrained power consumption. In this work, we study the effect of varying the transmission power to achieve the required signal-to-interference noise ratio for each link and, at the same time, to maximize the number of simultaneously active links. We propose a QoS-aware routing framework by using transmission power control. The framework addresses both the link scheduling and QoS routing problems with a cross-layer design taking into consideration the spatial reuse of the network bandwidth. We formulate an optimization problem to find the optimal link schedule and use it as a fitness function in a genetic algorithm to find candidate routes. Using computer simulations, we show that by optimal power allocation the QoS constraints for the different traffic flows are met with more efficient bandwidth utilization than the minimum power allocations.

<p>A clinically viable brain-machine interface (BMI) requires a fully-implanted wireless neural acquisition system to limit the impediments of percutaneous connections. For an implanted system with an appreciable telemetry range, and where significant</p><p>neural signal processing is performed continuously, a major obstacle for clinical application is the need for a power source. Existing battery technology and wireless power delivery systems have not addressed the need for a mid-range power supply, capable</p><p>of 1-3 W delivery, that limits both induced noise and temperature rise. These factors are crucial for the succesful operation of a fully-implanted neural acquisition system. This work seeks to fill this void, and presents both a wireless power solution suitable for a neural recording device, and a system capable of real time monitoring of tissue temperature rise.</p><p>During this research, a 2 W transcutaneous energy transfer system (TETS) was designed, built and tested. The TETS was designed specifically for a 96-channel implanted neural data acquisition system, which requires continuous power. The major design constraints were tolerance to coil misalignment, low induced noise,</p><p>and reasonable efficiency. The design of the primary circuit consists of an H-bridge switching network driving a planar spiral Litz wire primary coil. The primary also incoporates a novel circuit for detecting the presence of the secondary. The implanted secondary components include a complimentary planar spiral coil connected to a voltage doubling rectifier. The key approach to mitigating axial coil misalignments was the use of step-down switching regulators in the secondary. With this approach, link efficiency remained nearly constant at 40%, for axial coil displacements of up to 2 cm.</p><p>Noise in the recorded neural signals was minimized using two techniques. First, the 250 kHz operating frequency of the system was tuned, such that the aliased harmonics of the switching frequency lay above the bandwidth of the amplifier used for neural recording. The second approach was to limit the impact of induced displacement currents in the body by physically separating the recording front end from the power supply components. A large titanium enclosure was used to house some of the secondary electronics, and provided a low impedance return path for further</p><p>reduction of current-induced noise.</p><p>Limiting the temperature rise of internal components was also a critical design constraint. The need for real time temperature information led to the design of a six channel temperature measurement system and incorporation of the temperature data into the acquisition system data transmission scheme. This system consisted of bead thermistor temperature transducers, and an off-the-shelf microcontroller with a built-in instrumentation amplifier.</p><p>The TETS and temperature system was fully tested in an ovine model during several acute studies. Recorded temperature rise was limited to approximately 5.5&deg C when the system was implanted at an adequate depth in muscle. The TETS was able to successfully power the 2 W neural acquisition system during a data processing task. Received rectified voltage in the secondary ranged from 14.86 V to 20.2 V, while link efficiency remained virtually constant. Acquired neural data was examined for TETS switching noise. The measured RMS noise increased by less than 1 &mu V, averaged over several experiments. These results demonstrate the first mid-range TETS solution for powering a fully implanted neural acquisition system.</p> / Dissertation

An architectural framework is proposed to secure the data link layer (Layer 2) in Internet protocol (IP) over Ethernet networks. In this architecture, a new security inter-layering concept, incorporating cryptographic Layer 2 identities, is introduced. Instead of traditional media access control (MAC) addresses, secure and flexible data link layer identifiers are utilized to securely bind Layer 2 and upper layers. In addition, to create security parameters and negotiate identifiers at the data link layer, a key establishment protocol is presented. Moreover, this architecture incorporates the IEEE 802.1AE standard (MACsec) and uses a key hierarchy similar to the IEEE 802.11i standard for future compatibility of wired and wireless networks. Finally, we provide a security analysis of the new data link layer security architecture.

Composed of a left mold and a right one, an open and close molding mechanism is widely used in various plastic industries. The aim of this study is to design cam-link mechanisms whose right mold motions can rapidly synchronize with their left mold motions so that the mechanisms have higher stiffness for reducing residual vibration. In structural design of a molding mechanism, the device is actuated by a planar cam mechanism. And a set of cam actuated links is synthesized to drive the left mold. Then, another set of links connected to one of the left mold links is used to synchronously actuate the right mold together with the left mold. This study first is to synthesize the B-Spline curves for the left mold motion. Subsequently, the linkage sizes are modified base on the mechanical advantages. Then, the motion curves of the right mold and the cam follower device can be analytically determined. And the rigid body dynamic behavior of the mechanism is analyzed. Finally, the geometry of the cam is analyzed and the size of the cam follower rollers are selected to achieve the longer life time at the working speeds. This research presents eight different design cases to investigate the kinematic and dynamic characteristics of the molding mechanism. As a result, a case with improved kinematic and dynamic performance is selected.

Based on the traditional six-bar toggle mechanisms, this study is focused on the design of two types of cam-link mechanisms. Six-bar toggle mechanisms are simple, and they have an extreme mechanical advantage in toggle position so that they are widely used in plastic forming machines. Cam-crank-slider and cam-double-slider linkage are the two types mechanisms that we concerned. And we find the difference between these mechanisms for kinematic and dynamic performance. The benefit of cam-link mechanisms compares to linkage mechanisms is more precision points. We can synthesize the curve profile with the demand for forming acceleration or stroke. Because we need interpret the kinematic characteristic of toggle mechanisms by using several boundaries condition of different curves. This study selects two kinds from foregoing curve for the model.

Adaptive modulation and diversity combining represent very important adaptive solutions for future generations of wireless communication systems. Indeed, to improve the performance and the efficiency of these systems, these two techniques recently have been used jointly in new schemes named joint adaptive modulation and diversity combining (JAMDC) schemes. Considering the problem of finding lowcomplexity, bandwidth-efficient, and processing-power efficient transmission schemes for a downlink scenario and capitalizing on some of these recently proposed JAMDC schemes, we propose and analyze three fully joint adaptive modulation, diversity combining, and power control (FJAMDC) schemes. More specifically, the modulation constellation size, the number of combined diversity paths, and the needed power level are determined jointly to achieve the highest spectral efficiency with the lowest possible combining complexity, given the fading channel conditions and the required bit error rate (BER) performance. The performance of these three FJAMDC schemes is analyzed in terms of their spectral efficiency, processing power consumption, and error-rate performance. Selected numerical examples show that these schemes considerably increase the spectral efficiency of the existing JAMDC schemes with a slight increase in the average number of combined paths for the low signal to noise ratio range while maintaining compliance with the BER performance and a low radiated power resulting in a substantial decrease in interference to co-existing systems/users.

The use of high power converters has increased tremendously. Increased demand for transportation, housing and industrial needs means that more number of power converters interact with the utility power grid. These converters are non-linear and they draw harmonic currents, significantly affecting power quality. To reduce harmonics, filters, power factor correction circuits and capacitor banks are required. And the development of hybrid technologies and renewable energy power stations trigger a demand for power converters with bi-directional capabilities. The objective of this thesis is to develop a high power quality, bi-directional AC-DC power converter that is a solution to the aforementioned problems. This thesis studies an existing topology for a high power AC-DC power conversion with transformer isolation. The topology consists of an uncontrolled rectifier followed by a DC-DC converter to produce a set voltage output. A design example of the topology is simulated using the PSIM software package (version 6). Critical performance characteristics such as power factor and total harmonic distortion are analyzed. Following that study a new topology is proposed, which is an improvement over the older design, with reduced power conversion stages. The new topology has a fully controlled current source Pulse Width Modulation (PWM) rectifier at the front end to replace the uncontrolled rectifier and DC-DC combination. This topology has multiquadrant operational capabilities and the controller employs Selective Harmonic Elimination techniques to produce the programmed PWM switching functions for the rectifier. A design example of the converter and the digital controller are simulated in PSIM environment. The converter input current THD (Total Harmonic Distortion) and input power factor are within IEEE 519 and DoE standards. The converter is simulated in both first and fourth quadrant operations. A side-by-side comparison of the two topologies is done with respect to design and performance features such as power factor, THD, filter size, etc. The new topology converter provides performance superior to that of the older topology. Finally the thesis explores possible applications for the converter in power supplies, renewable energy and hybrid technologies.

In this dissertation, we studied methods for improving efficiency and effectiveness of multipath routing in computer networks. We showed that multipath routing can improve network performance for failure recovery, load balancing, Quality of Service (QoS), and energy consumption. We presented a method for reducing the overhead of computing dynamic path metrics, one of the obstacles for implementing dynamic multipath routing in real world networks. In the first part, we proposed a method for building disjoint multipaths that could be used for local failure recovery as well as for multipath routing. Proactive failure recovery schemes have been recently proposed for continuous service of delay-sensitive applications during failure transients at the cost of extra infrastructural support in the form of routing table entries, extra addresses, etc. These extra infrastructure supports could be exploited to build alternative disjoint paths in those frameworks, while keeping the lengths of the alternative paths close to those of the primary paths. The evaluations showed that it was possible to extend the proactive failure recovery schemes to provide support for nearly-disjoint paths which could be employed in multipath routing for load balancing and QoS. In the second part, we proposed a method for reducing overhead of measuring dynamic link state information for multipath routing, specifically path delays used in Wardrop routing. Even when dynamic routing could be shown to offer convergence properties without oscillations, it has not been widely adopted. One of reasons was that the expected cost of keeping the link metrics updated at various nodes in the network. We proposed threshold-based updates to propagate the link state only when the currently measured link state differs from the last updated state consider- ably. Threshold-based updates were shown through analysis and simulations to offer bounded guarantees on path quality while significantly reducing the cost of propagating the dynamic link metric information. The simulation studies indicated that threshold based updates can reduce the number of link updates by up to 90-95% in some cases. In the third part, we proposed methods of using multipath routing for reducing energy consumption in computer networks. Two different approaches have been advocated earlier, from traffic engineering and topology control to hardware-based approaches. We proposed solutions at two different time scales. On a finer time granularity, we employed a method of forwarding through alternate paths to enable longer sleep schedules of links. The proposed schemes achieved more energy saving by increasing the usage of active links and the down time of sleeping links as well as avoiding too frequent link state changes. To the best of our knowledge, this was the first technique combining a routing scheme with hardware scheme to save energy consumption in networks. In our evaluation, alternative forwarding reduced energy consumption by 10% on top of a hardware-based sleeping scheme. On a longer time granularity, we proposed a technique that combined multipath routing with topology control. The proposed scheme achieved increased energy savings by maximizing the link utilization on a reduced topology where the number of active nodes and links are minimized. The proposed technique reduced energy consumption by an additional 17% over previous schemes with single/shortest path routing.

In the short-range wireless communication and networking, Bluetooth is a promising technology, mainly used as a replacement for connected cables. Since the Bluetooth specification only defines how to build a Piconet, several solutions have been proposed to construct a Scatternet from the Piconets in the literatures. The process of constructing a Scatternet is called the Scatternet formation. The traditional scatternet formation has three defects: First, more power and time need to be consumed in order to construct the scatternet. Second, after the scatternet is formed, more power and bandwidth are required to maintain the connection of scatternet. Third, due to the restriction of topology, the communication between two nodes must be relayed through the bridge or master, even when they are in the communication range. In this thesis, we propose a novel method in the transmission ranges of all the other nodes to form temporary point-to-point piconet only when two nodes want to communicate with each other. When the communication is finished, the temporary point-to-point piconet is destroyed immediately. Two nodes in the communication range can communicate with each other directly without the relay node. Our On-Demand Point-To-Point Piconet Formation (ODP2P) scheme resolves the defects of traditional scatternet formation in communication range. In order to reduce the communication delay, every node owns its list to record the information of all nodes within the communication range. An on-event method maintains the list. Network performance analysis and simulations show that our method can reduce the routing path significantly, provide better utilization for Bluetooth personal area network (PAN), and maintain the range list efficiently.

According to the literature on the subject and PAM framework (Ming-shen Wang, 2006), the cognition of the citizen of Kaohsiung in Kaohsiung development and direct cross- strait link could be influenced by three factors: the factor of economic development, the factor of social development, the factor of political development. The study applied category estimation and information integration theory (Anderson, 1996) to treat the citizen of Kaohsiung' s cognition structure, integration function, cognitive algebra, estimate etc. in Kaohsiung development and direct cross- strait link. The main research method in this study is information integration theory. It can figure the internal process of how individuals deal with a series of variables out, including valuation function, integration function and response function. And integration function is the key of information integration theory. Many researches of information integration theory mentioned that people always make use of simple cognitive algebra to integrate information, as adding rule, multiplying rule and averaging rule. The research result in this study is shown as below: 1. Although the middle and bottom classes in Kaohsiung considered that if opening direct cross- strait link, it can make economic development better, most people thought that it could make social development and political development worse. So they tend to oppose direct cross- strait link. 2. Most white-collar classes in Kaohsiung (including industrial circle, political circle, academic circle, grass-roots circle and mass media circle) considered that if opening direct cross- strait link, it can make economic development, social development and political development better. So they tend to assist direct cross- strait link. 3. In group analysis, the information integration of the industrial circle in " acceptive situation of Kaohsiung development" is different-weight averaging model. They pay much attention to economic development. 4. In group analysis, the information integration of the political circle in " acceptive situation of Kaohsiung development" is different-weight averaging model. They pay much attention to economic development. 5. In group analysis, the information integration of the academic circle in " acceptive situation of Kaohsiung development" is different-weight averaging model. They pay much attention to economic development. 6. In group analysis, the information integration of the grass-roots circle in " acceptive situation of Kaohsiung development" is different-weight averaging model. They pay much attention to social development. 7. In group analysis, the information integration of the mass media circle in " acceptive situation of Kaohsiung development" is different-weight averaging model. They pay much attention to economic development. 8. In individual analysis, 60% people pay much attention to economic development, 22% people pay much attention to social development, and 18% people pay much attention to political development.