Miracle-dz/UniFAR-FTUs huggingface dataset:
Pipelining and Optimal Routing Techniques for Improving the Performance of Wireless Networks

this thesis, a cross layer network design approach using effective MAC layer and optimal Network layer design has been proposed and implemented to improve the performance of the wireless networks. For this purpose, new MAC design principles have been proposed for effective scheduling and channel allocation where pipelining techniques proposed for improving the channel utilization. In addition, a new bandwidth allocation technique using partitioning has been proposed in this paper which allows varying the amount of traffic dynamically by increasing or decreasing the window size depending on the traffic. Finally, an ant colony based routing algorithm which uses cluster based routing has been proposed and implemented to match the newly designed MAC layer.
Streaming Live Media over a Peer-to-Peer Network

The high bandwidth required by live streaming video greatly limits the number of clients that can be served by a source. In this work, we discuss and evaluate an architecture, called {\em SpreadIt}, for streaming live media over a network of clients, using the resources of the clients themselves. Using SpreadIt, we can distribute bandwidth requirements over the network. The key challenge is to allow an application level multicast tree to be easily maintained over a network of transient peers, while ensuring that quality of service does not degrade. We propose a basic peering infrastructure layer for streaming applications, which uses a redirect primitive to meet the challenge successfully. Through empirical and simulation studies, we show that SpreadIt provides a good quality of service, which degrades gracefully with increasing number of clients. Perhaps more significantly, existing applications can be made to work with SpreadIt, without any change to their code base.
Spatio-Temporal Locality in Hash Tables

The overall theme of this Ph.D. is looking at ways to use emerging NVM (Non-Volatile Memory) technologies in realworld data-science scenarios. It is hoped that the exploitation of the characteristics of the technology will result in performance improvements, defined as being either/or an increase in computational throughput and energy-use reduction. Primarily, this has been through the inclusion of temporal locality into HopH (Hopscotch Hashing) by [2]. The problem of highly-skewed access patterns affecting lookup time and required computation is shown through a simple model. A simulator is then used to measure the expected performance gains of incorporating temporal locality, given different HT (Hash Table) configurations. This work was originally motivated by NVM, as a way to mask the extra latency anticipated, but the work is applicable to HTs in DRAM (Dynamic Random-Access Memory) also. The second area of interest in the Ph.D. is looking at exploiting the characteristics of NVM for different families of machine learning algorithms, though this paper focuses solely on the former.
Properties of normalized radial visualizations

This paper defines a class of normalized radial visualizations (NRVs) that includes the RadViz mapping onto the two-dimensional unit disk. An NRV maps high-dimensional records into lower dimensional space, where records’ images are convex combinations of the dimensions (called dimensional anchors) laid out in two dimensions as labels on a circle and in higher dimensions on the surface of a hypersphere. As radial visualizations have evolved, conjectures have been proposed for invariants, such as lines mapping to lines, and convex sets to convex sets. Some have been informally proven for RadViz. We formally establish these properties for all NRVs and illustrate them using RadViz. An extensive theory of Parallel Coordinates has been developed elsewhere with great benefit to the visualization community. Our theory should provide similar benefits for radial visualization users. We show that an NRV is the composition of a perspective and an affine transformation. This projective transformation characterization leads to a number of properties including line, point ordering and convexity invariance. Knowledge of these properties suggests that the visual existence of structure in the data can guide a visualization researcher in further productive exploration of the data. We show the established properties hold regardless of whether or not the dimensional anchors lie on the circle or the hypersphere. These insights also suggest directions for future NRV work, such as rotational preprocessing to separate data in RadViz and NRVs for better cluster visualization.
Human Neuroscience

A comparative analysis of speed profile models for ankle pointing movements: evidence that lower and upper extremity discrete movements are controlled by a single invariant strategy Little is known about whether our knowledge of how the central nervous system controls the upper extremities (UE), can generalize, and to what extent to the lower limbs. Our continuous efforts to design the ideal adaptive robotic therapy for the lower limbs of stroke patients and children with cerebral palsy highlighted the importance of analyzing and modeling the kinematics of the lower limbs, in general, and those of the ankle joints, in particular. We recruited 15 young healthy adults that performed in total 1,386 visually evoked, visually guided, and target-directed discrete pointing movements with their ankle in dorsal–plantar and inversion–eversion directions. Using a non-linear, least-squares error-minimization procedure, we estimated the parameters for 19 models, which were initially designed to capture the dynamics of upper limb movements of various complexity. We validated our models based on their ability to reconstruct the experimental data. Our results suggest a remarkable similarity between the top-performing models that described the speed profiles of ankle pointing movements and the ones previously found for the UE both during arm reaching and wrist pointing movements. Among the top performers were the support-bounded lognormal and the beta models that have a neurophysiological basis and have been successfully used in upper extremity studies with normal subjects and patients. Our findings suggest that the same model can be applied to different " human " hardware, perhaps revealing a key invariant in human motor control. These findings have a great potential to enhance our rehabilitation efforts in any population with lower extremity deficits by, for example, assessing the level of motor impairment and improvement as well as informing the design of control algorithms for therapeutic ankle robots.
Influence of structural and electrostatic disorder on transport properties of monolayers of two-dimensional semiconductors

Two-dimensional (2D) materials are under intensive investigation recently due to variety of electronic properties, ranging from insulators (h-BN) to semi-metals (graphene), semiconductors (MoS2, WSe2) with wide variability of band-gap and correlated phases (NbSe2, TaS2). Recently, focus of research has been moved from graphene, which is now a well understood material, towards less explored materials, in particular monolayers of semiconducting transition metal dichalcogenides (TMDCs) such as MoS2 with direct band-gap in optical range (1.5 - 2 eV) and potential towards scalable electronics applications immune to short channel effects. This thesis in fact explores materials beyond exfoliated MoS2 with the focus on electrical and structural properties of monolayers of WS2, ReS2 and synthesized by means of chemical vapour deposition (CVD) monolayers of MoS2, MoSe2 and WSe2. Four main chapters discuss the following aspects of these materials. Chapter 4 studies in details transport properties of monolayer WS2 for the first time. We demonstrate wide tuning of transport in this material from insulating regime through localized states to band-like transport with insulator to metal transition (MIT) in between, with mobilities = 50 cm2/Vs at room temperature. In Chapter 5 we employ electrolyte gating for fabrication of the first electric double-layer transistor (EDLT) based on monolayers and multilayers of ReS2. Furthermore, we employ this as a system for variation of electrostatic disorder and find an unusual and strong modulation in conduction band of ReS2. The discovered modulation of conductivity via controllable introduction of electrostatic disorder can help to understand this material as well as other ultrathin 2D systems and to optimize the design of devices based on them. In Chapter 6 we use atomically smooth sapphire for demonstration of the first epitaxial monolayer MoS2 growth. We can control the orientation of single-crystalline grains on the substrate and create large area continuous films, where grain boundaries between the grains have no impact on transport properties in contrast to other reports. Finally, Chapter 7 discusses further advances in CVD growth of TMDCs, with the first demonstration of ambipolar insulator to metal transition in devices, based on monolayers of MoSe2 and WSe2. In conclusion, this thesis establishes connection between transport properties of monolayers of 2D semiconductors and structural or electrostatic disorder. These results are important for both fundamental understanding of transport in two-dimensional materials and practical applications.
Patch antenna for wireless LAN systems with polarization reconfigurability

A compact, efficient antenna which resonates at 2.4GHz with reconfigurable polarization characteristics is presented. A single-fed antenna with square shaped patch and cross shaped slot is designed and slot is loaded with PIN diode switches. Four switches are used to change the polarization states. By switching two diodes on and off the antenna can be reconfigured between RHCP and LHCP. Four diodes in the on state provides antenna with LP.
Responses of Seed Germination, Seedling Growth, and Seed Yield Traits to Seed Pretreatment in Maize (Zea mays L.)

A series of seed priming experiments were conducted to test the effects of different pretreatment methods to seed germination, seedling growth, and seed yield traits in maize (Zea mays L.). Results indicated that the seeds primed by gibberellins (GA), NaCl, and polyethylene glycol (PEG) reagents showed a higher imbibitions rate compared to those primed with water. The final germination percentage and germination rate varied with different reagents significantly (P < 0.05). The recommended prime reagents were GA at 10 mg/L, NaCl at 50 mM, and PEG at 15% on account of germination experiment. 15% PEG priming reagent increased shoot and root biomass of maize seedling. The shoot biomass of seedlings after presoaking the seeds with NaCl reagent was significantly higher than the seedlings without priming treatment. No significant differences of plant height, leaf number, and hundred-grain weight were observed between control group and priming treatments. Presoaking with water, NaCl (50 mM), or PEG (15%) significantly increased the hundred-grain weight of maize. Therefore, seed pretreatment is proved to be an effective technique to improve the germination performance, seedling growth, and seed yield of maize. However, when compared with the two methods, if immediate sowing is possible, presoaking is recommended to harvest better benefits compared to priming method.
DESU 100: about the temptation to destroy a robot

Whilst previous research examined the behaviour of humans instructed to destroy robots, this paper is concerned with the question "Are humans tempted to destroy robots? " For this purpose, an interactive installation was created, consisting of the robot DESU 100 and a button on a pedestal. The visitors of this installation were faced with the opportunity to push the button, and herewith forcing the robot to hit itself. Despite feeling sympathy for DESU 100, most of the visitors yielded to the temptation and pressed the button at least once, experiencing satisfaction.
Absolute of Relative? A New Approach to Building Feature Vectors For Emotion Tracking In Music

It is believed that violation of or conformity to expectancy when listening to music is one of the main sources of musical emotion. To address this, we test a new way of building feature vectors and representing features within the vector for the machine learning approach to continuous emotion tracking systems. Instead of looking at the absolute values for specific features, we concentrate on the average value of that feature across the whole song and the difference between that and the absolute value for a particular sample. To test this “relative” representation, we used a corpus of popular music with continuous labels on the arousal-valence space. The model consists of a Support Vector Regression classifier for each axis, with one feature vector for each second of a song. The relative representation, when compared to the standard way of building feature vectors, gives a 10% improvement on average (and up to 25% improvement for some models) on the explained variance for both the valence and arousal axes. We also show that this result is not due to having the average of a feature in the feature vector, but due to the actual relative representation.
Stress analysis in 3D IC having Thermal Through Silicon Vias (TTSV)

TTSV is proposed for the removal of heat from between the IC layers as these TTSVs carries heat down to the sink. However, it may generate stress in Silicon. In the present paper, thermal-stress simulation of stack consists of three IC layers bonded face up is performed using finite element modeling tools. We also analyzed the stress generated in 3D IC containing TTSV. Further we proposed a method for lower stress around the TTSV. The method proposed decreases the Von Misses Stress by a value of 40Mpa on average considering all the IC layers. Thus by achieving this, functionality of the chip becomes more reliable.
A new nonlinear dimensionality reduction method with application to hyperspectral image analysis

In this paper, we propose a new nonlinear dimensionality reduction method by combining Locally Linear Embedding (LLE) with Laplacian Eigenmaps, and apply it to hyperspectral data. LLE projects high dimensional data into a low-dimensional Euclidean space while preserving local topological structures. However, it may not keep the relative distance between data points in the dimension-reduced space as in the original data space. Laplacian Eigenmaps, on the other hand, can preserve the locality characteristics in terms of distances between data points. By combining these two methods, a better locality preserving method is created for nonlinear dimensionality reduction. Experiments conducted in this paper confirms the feasibility of the new method for hyperspectral dimensionality reduction. The new method can find the same number of endmembers as PCA and LLE, but it is more accurate than them in terms of endmember location. Moreover, the new method is better than Laplacian Eigenmap alone because it identifies more pure mineral endmembers.
Comparison and analysis of inductances of interior permanent magnet machine with two different rotor structures

The inductances play an important role in the behavior of the interior permanent magnet (IPM) Machine. This paper investigates absolute, differential inductances as well as d- and q-axis inductances for different rotor structures and positions. It also analyses the saturation of the inductances at different current magnitudes. The AC and mixed current standstill tests are applied in the experiments. The test results of these methods are analyzed in detail in this paper.
Analysis and Comparison of Medium Voltage High Power DC/DC Converters for Offshore Wind Energy Systems

Offshore wind farm with an internal medium-voltage dc (MVDC)-grid collection connected HVDC transmission may be an option to harvest offshore wind energy. High-power MV dc/dc converters with high-step-up conversion ratios are the key components for the internal MVDC grid. In this paper, a high-efficiency step-up resonant switched-capacitor converter for offshore wind energy system is studied, which is characterized by the soft-switching condition for all switches and diodes. This significantly reduces switching losses and higher switching frequency is feasible to reduce the overall system volume and weight. The comparisons with other two kinds of topologies are also presented; moreover, the possible specification requirements of high power MV dc/dc converters are analyzed and set. The operation principle of the proposed converter has been successfully verified by simulation and experiment results.
A Total Variation Spectral Framework for Scale and Texture Analysis

A new total variation (TV) spectral framework is presented. A TV transform is proposed which can be interpreted as a spectral domain, where elementary TV features, such as disks, approach impulses. A reconstruction formula from the spectral to the spatial domain is given, allowing the design of new filters. The framework formulates a new representation of images which can enhance the understanding of scales in the $L^1$ sense and improve the analysis and processing of textures. An example of a texture processing application illustrates possible benefits of this new framework.
Electrical Insulating Properties of Developed Composite Material from Palm kernel / Sawdust

formaldehyde was used as the test binder at concentrations of 20% percentage of oven dry weight of agro waste and the particle size of agro wastes used was 300 µm . The electrical insulating properties of the produced composite materials were evaluated. The composite material electrical insulating properties improved with a higher percentage of palm kernel shell added. The produced composite material was found to be a good electrical insulator that is safe for use to a maximum of 2500V. An electrical insulator, also called a dielectric, is a material that resists the flow of electric current. These materials are used in parts of electrical equipment, intended to support or separate electrical conductors without passing current through themselves [1,2]. Some materials such as glass or Teflon are very good electrical insulators. A much larger class of materials, for example rubber-like polymers and most plastics are still "good enough" to insulate electrical wiring and cables even though they may have lower bulk resistivity [3]. It has been shown that technological development depends on the progress in the field of materials [4]. The research and development of new materials are, together with industry and design are necessary accomplices and the engine that drives economic progress. In the past twenty years, materials research and development has shifted from monolithic to composite materials, adjusting to the global need for reduced weight, low cost, quality, and high performance [5]. The demand for new materials with higher specifications led to the concept of combining different materials in an integral-composite one. Such composite materials result in performance that cannot be attained by the individual constituents[4] .
Ontological User Profiles as the Context Model in Web Search

One of the key factors for effective personalization of information access is the user context. Our proposed approach for representing the user context involves implicitly building ontological user profiles by assigning interest scores to existing concepts in a domain ontology. A spreading activation algorithm is used to maintain the interest scores based on the user’s ongoing behavior. Our experimental results show that the user context can be effectively utilized for Web search personalization. Specifically, re-ranking the search results based on interest scores derived from the semantic evidence in an ontological user profile provides better search results by proficiently bringing results closer to the top when they are most relevant to the user.
Image-guided depth map upsampling using normalized cuts-based segmentation and smoothness priors

In this paper, we propose an image segmentation-based algorithm to perform upsampling of noisy low-resolution depth maps using information from the high-resolution color image. The depth map is initially upscaled using standard image interpolation technique, and then refined by a process based on the combination of Normalized Cuts segmentation and various smoothness priors in order to obtain a high quality highresolution depth map. Our method outperforms other existing methods when applied on both synthetic and real-world datasets.
Reciprocal Control of Anaplerotic Phosphoenolpyruvate Carboxylase by in Vivo Monoubiquitination and Phosphorylation in Developing Proteoid Roots of Phosphate-Deficient Harsh Hakea1[W][OA]

A novel pattern of in vivo posttranslational modifications activates phosphoenolpyruvate carboxylase in maturing proteoid roots of harsh hakea. Accumulating evidence indicates important functions for phosphoenolpyruvate (PEP) carboxylase (PEPC) in inorganic phosphate (Pi)-starved plants. This includes controlling the production of organic acid anions (malate, citrate) that are excreted in copious amounts by proteoid roots of nonmycorrhizal species such as harsh hakea (Hakea prostrata). This, in turn, enhances the bioavailability of mineral-bound Pi by solubilizing Al3+, Fe3+, and Ca2+ phosphates in the rhizosphere. Harsh hakea thrives in the nutrient-impoverished, ancient soils of southwestern Australia. Proteoid roots from Pi-starved harsh hakea were analyzed over 20 d of development to correlate changes in malate and citrate exudation with PEPC activity, posttranslational modifications (inhibitory monoubiquitination versus activatory phosphorylation), and kinetic/allosteric properties. Immature proteoid roots contained an equivalent ratio of monoubiquitinated 110-kD and phosphorylated 107-kD PEPC polypeptides (p110 and p107, respectively). PEPC purification, immunoblotting, and mass spectrometry indicated that p110 and p107 are subunits of a 430-kD heterotetramer and that they both originate from the same plant-type PEPC gene. Incubation with a deubiquitinating enzyme converted the p110:p107 PEPC heterotetramer of immature proteoid roots into a p107 homotetramer while significantly increasing the enzyme’s activity under suboptimal but physiologically relevant assay conditions. Proteoid root maturation was paralleled by PEPC activation (e.g. reduced Km [PEP] coupled with elevated I50 [malate and Asp] values) via in vivo deubiquitination of p110 to p107, and subsequent phosphorylation of the deubiquitinated subunits. This novel mechanism of posttranslational control is hypothesized to contribute to the massive synthesis and excretion of organic acid anions that dominates the carbon metabolism of the mature proteoid roots.
Author retrospective for bloom filtering cache misses for accurate data speculation and prefetching

In this paper, we provide the authors? retrospective analysis of the paper "Bloom Filtering Cache Misses for Accurate Data Speculative and Prefetching" which was published in the proceedings of 2002 International Conference on Supercomputing. DOI: http://dx.doi. org/10.1145/514191.514219