Miracle-dz/UniFAR-FTUs huggingface dataset:
Asymptotic Optimality of Rapidly Exploring Random Tree

In this paper we investigate the asymptotic optimality property of a randomized sampling based motion planner, namely RRT. We prove that a RRT planner is not an asymptotically optimal motion planner. Our result, while being consistent with similar results which exist in the literature, however, brings out an important characteristics of a RRT planner. We show that the degree distribution of the tree vertices follows a power law in an asymptotic sense. A simulation result is presented to support the theoretical claim. Based on these results we also try to establish a simple necessary condition for sampling based motion planners to be asymptotically optimal.
Magnetic and Dielectric Properties of Composites Consisting of Oriented, Iron Flake Filler within a Thermoplastic Host: Part I. Material Fabrication and Electromagnetic Characterization

Materials that contain both electric permittivity and magnetic permeability greater than unity (magneto-dielectrics) are currently being investigated for microwave applications. An experimental procedure for fabricating magneto-dielectric composite materials based upon flake-like iron inclusions was developed. Samples consisting of iron flakes oriented within a low loss thermoplastic host were produced by extrusion film forming, to minimize loss and maximize permeability. The electrical and magnetic properties of the magneto-dielectric samples were measured as a function of the filler’s aspect ratio, surface characteristics and volume fraction. It was found that forming iron powder into flakes increases the permeability by reducing the demagnetization factor of the shape of the particle. The change to higher aspect ratio filler also increased the dielectric constant and the dielectric loss due to greater instances of inter-particle conduction. Insulating the flakes with a low dielectric greatly significantly mitigated this effect.
A Memetic Heuristic for the Co-clustering Problem

Co-clustering partitions two different kinds of objects simultaneously. Bregman co-clustering is a well-studied fast iterative algorithm to perform co-clustering. However, this method is very prone to local optima. We propose a memetic algorithm to solve the co-clustering problem. Experimental results show that this method outperforms the multi-start Bregman co-clustering in both accuracy and time.
Diabetic cardiomyopathy: catabolism driving metabolism.

The pandemic of obesity is transforming industrialized societies. Presently, more than one-third of U.S. adults (≈80 million) are obese, predisposing them to a wide range of disorders. Chief among them is type 2 diabetes mellitus. Indeed, diabetes affects over 300 million people worldwide, and this number is expected to continue to grow.1 In the US alone, diabetes affects 29 million people, accounting for an enormous burden to both individuals and our healthcare infrastructure.2
Confluence of parameters in model based tracking

During the last decade, model based tracking of objects and its necessity in visual servoing and manipulation has been advocated in a number of systems. Most of these systems demonstrate robust performance for cases where either the background or the object are relatively uniform in color. In terms of manipulation, our basic interest is handling of everyday objects in domestic environments such as a home or an office. In this paper, we consider a number of different parameters that effect the performance of a model-based tracking system. Parameters such as color channels, feature detection, validation gates, outliers rejection and feature selection are considered here and their affect to the overall system performance is discussed. Experimental evaluation shows how some of these parameters can successfully be evaluated (learned) on-line and consequently improve the performance of the system.
A packet-switched interconnect for many-core systems with BE and RT service

A packet-switched interconnect design which supports real-time and best-effort services is proposed. This interconnect is different from traditional NoCs in that we use direction channels to replace the large input buffers and use less resource to realize the network transfer. The connection between our interconnect design and IP core is an on-chip memory management block named DME. The real-time service implies preferential transfer channel allocation, maximum delay bound and time stamping of every real-time packet. The solution is geared towards many-core systems, such as complex industrial control systems and communication devices, which require these features to facilitate efficient SW and application development.
Multiple line outage detection for smart grid: A block-wise compressive sensing perspective

Smart grids (SGs), which can fully detect and monitor electrical parameters and user behaviours, have become a development trend of power networks. With larger scale and access of new energy, SGs become more vulnerable and unstable. Under this circumstance, unexpected line outages may cause more harm in SGs than in traditional power grids. Thus, accurate and fast localization of line outages is one of the major tasks and challenges in SGs. By exploiting the sparsity of line outages and phase information from phase measurement units (PMUs), compressive sensing (CS) has been introduced into line outage detection recently. In this paper, we propose a novel block-wise CS based multiple line outage detection scheme for SGs. First, by utilizing the sparsity of line outages and connection relation of the power grid, a new reactance model is derived, making the block-wise CS applicable. Then, we modify the traditional CS algorithm by redefining the selection criterion. The proposed scheme can achieve better precision as well as less complexity compared to the conventional schemes.
Hybrid Genetic Algorithms for Feature Selection

This paper proposes a novel hybrid genetic algorithm for feature selection. Local search operations are devised and embedded in hybrid GAs to fine-tune the search. The operations are parameterized in terms of their fine-tuning power, and their effectiveness and timing requirements are analyzed and compared. The hybridization technique produces two desirable effects: a significant improvement in the final performance and the acquisition of subset-size control. The hybrid GAs showed better convergence properties compared to the classical GAs. A method of performing rigorous timing analysis was developed, in order to compare the timing requirement of the conventional and the proposed algorithms. Experiments performed with various standard data sets revealed that the proposed hybrid GA is superior to both a simple GA and sequential search algorithms.
Generalised clarke model for mobile-radio reception

Clarke's classical model of mobile-radio reception assumes isotropic-rich scattering around the mobile receiver antenna. The assumption of isotropic scattering is valid only in limited circumstances. Here, a generalised Clarke model is developed, which is applicable to mobile-radio reception in general scattering environments. The authors give expressions for the autocorrelation and power spectral density of the channel fading process and demonstrate the generality of the model by applying it to different non-isotropic scattering scenarios. Using the generalised model, the effect of mobile direction of travel and the non-isotropicity on the statistics of the channel fading process is analysed. It is also shown that if the mobile direction of travel is equiprobable in all directions, a non-isotropic scattering environment on average is as good as an isotropic scattering environment.
Rules for translating interaction protocols into a B formal representation

Interaction in multiagent systems is generally tackled by means of interaction protocols that define the messaging patterns between the system's communicating entities. It is thus of an utmost importance to follow a strict methodology for specifying, designing and formally checking the interaction protocol. In this paper, we deal with this latter issue. For this reason we make use of the B method which is a formal language that enables to translate a semi-formal specification of a protocol into a formal one. More precisely, we focus our attention on the process of generically checking and proving interaction protocols.
Outage probability of wireless ad hoc networks with cooperative relaying

In this paper, we analyze the performance of cooperative transmissions in wireless ad hoc networks with random node locations. According to a contention probability for message transmission, each source node can either transmits its own message signal or acts as a potential relay for others. Hence, each destination node can potentially receive two copies of the message signal, one from the direct link and the other from the relay link. Taking the random node locations and interference into account, we derive closed-form expressions for the outage probability with different combining schemes at the destination nodes. In particular, the outage performance of optimal combining, maximum ratio combining, and selection combining strategies are studied and quantified.
News story clustering from both what and how aspects: using bag of word model and affinity propagation

The 24-hour news TV channels repeat the same news stories again and again. In this paper we cluster hundreds of news stories broadcasted in a day into dozens of clusters according to topics, and thus facilitate efficient browsing and summarization. The proposed system automatically removes commercial breaks and detects anchorpersons, and then determines boundaries of news stories. Semantic concepts, the bag of visual word model and the bag of trajectory model are used to describe what and how objects present in news stories. After measuring similarity between stories by the earth mover's distance, the affinity propagation algorithm is utilized to cluster stories of the same topic together. The experimental results show that with the proposed methods sophisticated news stories can be effectively clustered.
THE PSYCHOPHARMACOLOGY OF ANTIHISTAMINES: INDICES OF BEHAVIORAL TOXICITY*

Although second-generation antihistamines generally penetrate the blood-brain barrier to a lesser degree than the powerfully impairing firstgeneration antihistamines, many have been found to produce dose-related impairment of central nervous system (CNS) function. In contrast, fexofenadine has been determined to be truly nonimpairing, even at supraclinical doses. Crossover studies using placeboand positivecontrolled objective tests of impairment showed that choice reaction time, sensorimotor coordination, information processing, car driving skills, and electrophysiologic measures were unaffected in patients taking fexofenadine. In addition, recent positron-emission tomography studies have provided further evidence that fexofenadine does not penetrate the blood-brain barrier. Therefore, in terms of CNS function, fexofenadine can be differentiated from the other currently available antihistamines. (Advanced Studies in Medicine. 2002;2(24):867-871) A ny central nervous system (CNS) side effects caused by pharmacologic therapy can have important safety and quality-of-life implications. Histamine has been widely reported to play an important role in maintaining CNS arousal and alertness. Therefore, antihistamines that cross the blood-brain barrier and antagonize histamine-1 (H1)-receptors in the brain can produce impairment of cognitive functions, including attention, memory, sensorimotor coordination, information processing, and psychomotor performance. These are related to the informationprocessing demands of all human day-to-day activities and functions, and therefore, administration of agents that cross the blood-brain barrier and impair CNS functions may lead to serious issues of patient safety as well as affect the quality of life of patients. For example, CNS impairment will not only impair the ability to drive and operate machinery, but will affect activities such as classroom learning, causing patients to feel tired, sleepy, and unable to concentrate. Evidence from epidemiologic studies has begun to determine a relationship between an increased incidence of automobile accidents and the administration of antihistaminergic agents; 3% of patients involved in fatal road traffic accidents (RTA) were found to have previously taken an antihistamine. Furthermore, 72% of patients who have used an antihistamine and subsequently been involved in a fatal RTA have been determined to be culpable, compared with 86% of those who had consumed alcohol. It has also been suggested that, cerebral H1blockade is associated with falls in the elderly.
Decreased synthesis of high-molecular-weight glycopeptides in human promyelocytic leukemic cells (HL-60) during phorbol ester-induced macrophage differentiation.

The human promyelocytic leukemia ell line, HL-60, synthesized a class of high-molecular-weight (M.W. 5000 to 7000), N-linked glycopeptides as the major class of protein-bound carbohydrates. Small glycopeptides (M.W. 2500 to 3500), typical of most mammalian cells except erythrocytes, represented a minor component in these cells. The large glycopeptides were labeled efficiently with fucose, glucosamine, and galactose but only poorly with mannose. They were found not to be glycolipids, glycosaminoglycans, or mucin-type glycopeptides and were not susceptible to exoglycosidases, but they were partially degraded by endo-beta-galactosidases. These characteristics are similar to those of the large glycopeptides synthesized by erythrocytes, by another human myeloid leukemia cell line (K562), and by human and murine teratocarcinoma cells. High-molecular-weight glycopeptides predominated on another human myeloid leukemia cell line KG1, but they were expressed at low levels on both a human monocytic leukemia cel line (THP-1) and a human T-lymphoblastoid cell line (Jurkat). When HL-60 cells were induced to differentiate into macrophage-like cells with phorbol esters, the proportion of large glycopeptides decreased, and the production of small glycopeptides predominated. This shift was observed within the first several hr after exposure to phorbol esters and was temporally related to the acquisition of adherent properties by the induced cells. In contrast, when HL-60 cells were induced to differentiate into granulocytes by dimethyl sulfoxide, hypoxanthine, or retinoic acid, they continued to synthesize glycopeptides similar to uninduced cells. Human peripheral blood granulocytes synthesized primarily large glycopeptides, whereas monocytes and lymphocytes synthesized mostly small glycopeptides. These results indicate that the synthesis of high-molecular-weight glycopeptides is a property of human myeloid leukemia cell lines and that it persists throughout myeloid differentiation. A proportionate decrease in the synthesis of these large glycopeptidase is a part of the differentiation program for monocytes and macrophages.
Longer MEMS Switch Lifetime Using Novel Dual-Pulse Actuation Voltage

A novel dual-pulse (NDP) actuation voltage has been proposed to reduce dielectric charging in microelectromechanical system (MEMS) switches, leading to a longer switch lifetime. Mathematical and transient circuit models have been utilized to simulate dielectric charging in the radio-frequency (RF) MEMS switch, enabling the analysis of the charge built up at the switch dielectric and the substrate brought about by the actuation-voltage curve used. The proposed DP actuation signal has shown to improve the lifetime of the RF MEMS switch as it minimizes the charge built up during its long continuous operation. Practical experiment on the commercial TeraVicta TT712-68CSP MEMS switch shows that the proposed actuation voltage can reduce the pull-in/pull-out voltage shift and therefore prolong the switch lifetime. The technique has also shown to reduce switching bounces.
In-vivo two-photon imaging of the honey bee antennal lobe

Due to the honey bee’s importance as a simple neural model, there is a great need for new functional imaging modalities. Herein we report on the development and new findings of a combined two-photon microscope with a synchronized odor stimulus platform for in-vivo functional and morphological imaging of the honey bee’s olfactory system focusing on its primary centers, the antennal lobes (ALs). Our imaging platform allows for simultaneously obtaining both morphological measurements of the AL’s functional units, the glomeruli, and in-vivo calcium recording of their neural activities. By applying external odor stimuli to the bee’s antennae, we were able to record the characteristic glomerular odor response maps. Compared to previous works where conventional fluorescence microscopy was used, our approach has been demonstrated to offer all the advantages of multi-photon imaging, providing substantial enhancement in both spatial and temporal resolutions while minimizing photo-damages. In addition, compared to previous full-field microscopy calcium recordings, a four-fold improvement in the functional signal has been achieved. Finally, the multi-photon associated extended penetration depth allows for functional imaging of profound glomeruli.
Automatically smoothing camera pose using cross validation for sequential vision-based 3D mapping

Building an accurate three dimensional map is an important task for autonomous localisation and navigation. In a sequential approach to reconstruction from video streams, we show how adding prior knowledge about camera motion improves reconstruction accuracy, obtaining a more precise trajectory estimation and preventing failures over time. We add a smoothing penalty on camera trajectory and the smoothing parameter, usually fixed by trial and error, is automatically estimated using Cross-Validation. The method is substantiated by experimental results on synthetic and real data. They show that it improves accuracy and stability in the reconstruction process, preventing several failure cases.
A truant failure detection algorithm for multi-policy distributed systems

In recent autonomous decentralized systems, every node might not execute the same algorithm because it might have its own local policy and follow that policy rather than the common principle. We model these systems as a multi-policy distributed system. We introduce a new type of failure, a truant failure, on multi-policy distributed systems, which is considered to be the simplest local policy. A truant failure node does nothing for the other nodes' requests selected by its local policy. The paper shows a condition to be able to defect a truant failure and presents a distributed truant failure detection algorithm for that case. <<ETX>>
Hybrid flexible neural tree for exchange rates forecasting

Exchange rate is an important link of international economic relations. In this paper, a novel method for improving flexible neural tree is proposed to forecasting exchange rate data. The hybrid flexible neural tree with pre-defined instruction sets can be created and evolved. The structure and parameters of hybrid flexible neural tree is optimized using probabilistic incremental program evolution and particle swarm optimization algorithm. Compared with the conventional artificial neural network and flexible neural tree based on gene expression programming, the experimental results indicate that the proposed method is feasible and efficient.
Effect of Partial Replacement of Cement by Fly Ash with Using Nylon Fiber in Concrete Paver Block

In present study we use Nylon Fibre to increase the compressive strength of Paver Block. We perform compressive strength test on paver block by taking different proportions of Nylon Fibre and find that using 0.3% of Nylon Fibre increases the compressive strength up to 18.86% as compared to conventional mixture. It is also find that it makes the blocks more opaque as compare to other paver blocks. The flyash used in different proportion in the above mixture of Paver block to evaluate its compressive strength. Fly ash produced from the burning of younger lignite or sub bituminous coal, in addition to having pozzolanic properties, also has some self-cementing properties. In the presence of water, fly ash will harden and gain strength over time. The optimum dose of 20 % of fly ash gives maximum strength of paver block.
Rossmann store sales quantity prediction

My project aimed to solve machine learning problem for Rossmann inc. I use Rossmann dataset that contains data since 2013 year till 2015. Rossmann is challenges to predict 6 weeks of daily sales for 1,115 stores located across Germany. End-to-end workflow of data science was applied in the project, from data retrieval, data processing, statistical modelling, machine learning, and data visualization and data analysis. In my project I implement various machine learning algorithms, with focus on showing the evolution of machine learning algorithms, that I use to solve the problem.
Dielectric waveguide lasers

Our recent results on planar and channel waveguide fabrication and lasers in the dielectric oxide materials Ti:sapphire and rare-earth-ion-doped potassium yttrium double tungstate (KYW) are reviewed. We have employed waveguide fabrication methods such as liquid phase epitaxy and reactive ion etching as well as ion beam implantation and femtosecond laser writing. We have obtained surface and buried channel waveguide lasers in Ti:sapphire near 800 nm and planar waveguide lasers in KYW:Yb near 1 μm and KYW:Tm near 2 μm.
PREFiguRE

Low disk drive utilization suggests that placing the drive into a power saving mode during idle times may decrease power consumption. We present PREFiguRE, a robust framework that aims at harvesting future idle intervals for power savings while meeting strict quality constraints: first, it contains potential delays in serving IO requests that occur during power savings since the time to bring up the disk is not negligible, and second, it ensures that the power saving mechanism is triggered a few times only, such that the disk wear-out due to powering up and down does not compromise the disk’s lifetime. PREFiguRE is based on an analytic methodology that uses the histogram of idle times to determine schedules for power saving modes as a function of the preceding constraints. PREFiguRE facilitates analysis for the evaluation of the trade-offs between power savings and quality targets for the current workload. Extensive experimentation on a set of enterprise storage traces illustrates PREFiguRE’s effectiveness to consistently achieve high power savings without undermining disk reliability and performance.
Pheromone-based Dynamic Coordination for Manufacturing System

Manufacturing enterprises must face increasingly difficult production environments. External factors such as varying product variants and varying quantities as well as internal factors such as reworking and resource breakdowns pose a high challenge for task allocation and control. Inspired by the similarity between ant foraging behavior model and task allocation in manufacturing system, a pheromone-based coordination mechanism for manufacturing system is pro- posed. The pheromone-based static and dynamic coordination algorithms for task allocation are given. Experimental re- sults demonstrate that not only the relatively optimal processing costs but also balanced use of machines can be achieved by using the proposed algorithm, and that it has high adaptability to the disturbance from inside or outside of manufactur- ing system. Therefore, it provides a feasible new idea for dealing with an actual allocation problem of production tasks for manufacturing system.