Miracle-dz/UniFAR-FTUs huggingface dataset:
Fabrication and Characterization of Polymer Blend Doped With Metal Carbide Nanoparticles for Humidity Sensors

Nanocomposites films of (polymer blend-ceramics) were prepared from (PVA-PAA) blend and (PVA-PAA) blend doped with niobium carbide nanoparticles for humidity sensors have low cost, easy fabrication, high sensitivity, lightweight and high corrosion resistance. The structural, electrical and optical properties of (PVA-PAA-NbC) nanocomposites have been studied. The D.C electrical properties of (PVA-PAA-NbC) nanocomposites were studied with different temperature range. The results showed that the D.C electrical conductivity (PVA-PAA) blend increases with increase in niobium carbide nanoparticles concentrations and temperatures. The activation energy of (PVA-PAA) blend decreases with increase in niobium carbide nanoparticles concentrations. The results of optical properties showed that the transmittance of (PVA-PAA) blend decreases with increase in niobium carbide nanoparticles concentrations. The (PVA-PAA-NbC) nanocomposites tested for humidity sensors and the results showed that the (PVA-PAA-NbC) nanocomposites have high sensitivity for humidity sensors. Keywords: niobium carbide, nanocomposites, humidity sensors, activation energy.
Integration of Korean Feature Information for SRL System 1

Semantic role labeling is typically used to resolve a problem from the perspective of classification by using a corpus. Semantic Role Labeling determines an adequate predicate-argument relation. It can be used to improve performance in various areas of natural language processing. In this paper, automatic semantic role labeling using 10,000 sentences in a semantic role tagged corpus constructed from a Korean syntax tagged corpus was conducted. In Korean, affix, such as josa and eomi, is a very important role in syntactic parsing and semantic role labeling. Semantic role labeling was achieved in this study by improving particle and word ending information, which were insufficiently addressed in previous studies on semantic role labeling, and creating new features. When features based on the affix information created in this study were added to the basic features used in previous studies on semantic role labeling of languages, an F1 score of approximately 80.83% was obtained.
Effects of Eggshell Powder on Mechanical Properties and Morphology of NR/HDPE-Mengkuang Fiber Hybrid Composites

This study investigated the physical and mechanical properties of hybrid composites from natural rubber (NR)/high density polyethylene (HDPE)/ Mengkuang fiber (MK)/eggshell powder (KT). Preparation of hybrid composites, NR/HDPE/(MK/KT) was produced using composition 40/60/(20) with filler material, MK/KT was varied at 0/20, 5/15, 10/10, 15/5 and 20/0. Preparation of hybrid composites is produced using melt blending method in internal mixer at 135 o C and mixing rate at 50 rpm for 18 minutes. The resulting samples were tested in terms of strain testing, impact test and water absorption test, while the structure and morphology were characterized using Fourier Infrared Transformer (FTIR) spectroscopy and scanning electron microscopy (SEM). In this study, the hybrid composite with MK/KT 5/15 filler provides optimum yield with maximum stress strength of 7.84 MPa and maximum impact strength of 6.60 kJ/m 2 . In addition, the treatment of MK fibers covers pre-treatment with sodium hydroxide (NaOH) solution, and immersion with hexadecyltrimethoxysilane (HDS) solution has been performed to enhance the physical and mechanical properties. The composition of the filler with the highest percentage of mengkuang fiber with 20% showed an increase in water absorption rate. Overall, the addition of egg shells has been shown to enhance the physical and mechanical properties of resulting composite.
An Effective Defense against Distributed Denial of Service in Grid

IP spoofing has been exploited by Distributed Denial of Service (DDoS) attacks to conceal flooding sources and localities in flooding traffic, and prevent legitimate hosts into becoming reflectors, redirecting and amplifying flooding traffic. Thus, the ability to filter spoofed IP packets near victims is essential to their own protection as well as to their avoidance of becoming congestion and involuntary DoS reflectors. Although an attacker can forge any field in the IP header, he or she cannot falsify the number of hops an IP packet takes to reach its destination. This hop count information can be inferred from the Time- to-Live (TTL) value in the IP header. Using a mapping between IP addresses and their hop-counts to an Internet server, the server can distinguish spoofed IP packets from legitimate ones. Based on this observation, we present a novel filtering technique that is immediately deployable to weed out spoofed IP packets. We have an IP to Hop Count Mapping Table (IP2HC) to store the Hop Count Values. We implement HCF in the Linux kernel, demonstrating its benefits using experimental measurements. We deploy the security mechanism in Globus Toolkit (GT4) to ensure that HCF can identify the spoofed packet in a Grid Environment.
Quantitative assessment of the relative risk of ship strike to humpback whales in the Great Barrier Reef

There is global recognition that ship strike represents a significant risk to some populations of whales around the world. Analysis of ship strike records worldwide demonstrates that humpback whales are the second most frequently reported whale species to be struck by a ship. In Australia, both the east and west coast populations of humpback whales are strongly recovering from commercial whaling during the mid-20th century which resulted in populations nearing extinction. On the east coast of Australia the main breeding ground for humpback whales is within the Great Barrier Reef World Heritage Area (GBRWHA). Both the east and west coast of Australia have also in the past decade experienced considerable coastal and port development associated with an increase in natural resource projects. It is due to substantial coastal development and port expansions related to the mining industry that UNESCO were considering listing the GBRWHA on the ‘List of World Heritage in Danger’ and are currently monitoring Australia’s commitment to its sustainability. Along with considerable port expansion along the GBRWHA coastline to meet increasing global demands for coal and liquefied natural gas (LNG), there is projected to be substantial increases in shipping traffic. Conservative estimates are predicting a doubling of shipping traffic by 2025, albeit not for all Queensland ports. Considering the rapid rate of increase of the east Australian population of humpback whales (approximately 10.9% increase per annum), there is potential for increased interaction between humpback whales and shipping traffic and increased risk of ship strikes to the whales on their breeding ground. To understand the risk of ship strike to humpbacks in the GBRWHA, it is necessary to understand the distribution and densities for both whales and shipping. This report uses current knowledge on the distribution of humpback whales within the GBRWHA from aerial survey data from 2012 and 2014 and contemporary (2012-2014) shipping traffic data of ships travelling within the GBR to provide estimates of relative risk of ship strike to humpback whales within the GBR.
The Effect of Piranha and Silane Modifications on Boron Nitride Nanosheets (BNNSs) Thin Film Formation

Bu calismada, iki faz arasindaki (cam alt tabaka ve BNNSs filmi) yapismanin arttirilmasi amaclanmistir. Yuzey iyilestirmesi TEOS silan grubu ve piranha cozeltisi ile saglanmistir. Cam yuzeylerin piranha cozeltisinde tutunma sureleri ve silan cozeltisinin farkli oranlarinin cam yuzeyine yapismasi incelenmistir. Yuzey karakterizasyonu Fourier Transform Infrared Spektrofotometre (FT-IR) ile yapilmistir. Yuzey morfolojisini, ince filmlerin kalinligini ve bor nitrur nanosheetlerin yapisini karakterize etmek icin Taramali Elektron Mikroskobu (SEM) goruntuleri alinmistir. Eksfoliasyon isleminden sonra bor nitrur nanosheetlerin verimliligini belirlemek icin UV gorunur bolge spektrofotometresi kullanilmistir. Ince filmlerin yuzey puruzlulugunu belirlemek icin yuzey puruzluluk cihazi (Time TR200) kullanilmistir. Sonuclara gore piranha ve silan cozeltilerinin cam yuzeyini yapisma icin gelistirdigi gorulmustur. SEM goruntuleri silanin cam yuzeyinde kaplandigini ve kaplama malzemesinin silan uzerinde tutundugunu gostermistir. Silan yuklemesinin fazla olmasi yapida bozulmalara neden olmustur. Eksfoliasyon sonrasi farkli santrifujleme hizlari icin bor nitrur verimi %54,1 ve %34,1 olarak hesaplanmistir.
From Electronic Structure to Design Principles for Photocathodes: 
Cu
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Ba
 Alloys

Producing a metal photocathode with a low work function (WF), low emissivity, and high quantum efficiency is a matter of importance in the design of the next generation of free-electron laser facilities. General rules for the design of appropriate materials are currently unclear and difficult to elucidate from observations of structure-composition relationships of known photocathodes. In this work, high-quality density-functional-theory electronic structure calculations and a simple physical model are employed to develop design rules for photocathodes based on metallic alloys. A theoretical study of metal alloys for photocathode applications is presented, in which high WF, stable copper is paired with low WF, unstable barium in two alloys, Cu13Ba and CuBa. Surfaces terminating in a plane of Ba atoms have a lower computed surface energy than those terminating in Cu atoms due to surface segregation of the larger Ba atoms. This results in a significant surface dipole due to the interatomic charge transfer from the differences in electronegativity of the species. The details of the surface structure determine the direction of the dipole and thus have a strong influence on the computed WF. The computed WF of the Cu13Ba Ba-terminated (100) surface is even lower than that of pure Ba, at 1.95 eV. The computed quantum efficiency (QE) of the best-performing pure Cu surface is 5.86 × 10−6, whereas the best-performing Cu13Ba surface terminates in a plane of Ba atoms and has a significantly increased QE of 5.09 × 10−3. A surface terminating in two planes of Ba atoms, the (001) surface of CuBa, has an even higher computed QE of 1.38 × 10−2.
Scanning Electron Microscopy of Phytoplankton: Achieving High-Quality Images Through the Use of Safer Alternative Chemical Fixative

line and width, shape of the valve ends, the polarity of the transapical axis, the size of the central interspace, and the length of cell end overlap (Tomas et al., 1997). While many phenotypic markers of the genus can be properly identified under light microscopy, species-specific identification is extremely tedious, time consuming and most often requires the eye of a taxonomic expert (Lim et al., 2012). The defining features are too small to be accurately confirmed via light microscopy (Tomas et al., 1997) because of the limited number and quality of the lenses it uses, as well as the wavelength of light it utilized for illumination. Scanning electron microscopy uses electrons instead of photons to view phytoplankton in depth, making it capable of capturing those modest variations between species of the same genus. Due to the nature of SEM, the sample must be completely dry before placement within the microscope, unless variablepressure or environmental SEM is employed. Biological samples are saturated in water, so when they are dehydrated they begin to decompose and shrivel up into unidentifiable masses. This is especially problematic when working with marine life, because the loss of sea water is often leaves salt crystals in the outer membrane, impeding observation of some features. Marine diatoms are more stout than some other phytoplankton because they are protected by a hard, siliceous cell wall called a frustule (Tomas et al., 1997). These protect the diatoms from heavy alterations during electron microscopy processing, and are usually still identifiable under SEM observation. Some flagellates, which are soft bodied, 1 Department of Marine Sciences at the University of Hawai’i at Hilo
Adaptive consensus tracking for linear multi-agent systems with input saturation

This paper addresses the consensus protocol design problem for linear multi-agent systems with input saturation. Existing consensus protocols usually contain certain global information, such as network size or the spectrum of the Laplacian matrix, and this global knowledge is often unavailable to all agents. In this paper, based on only the agent dynamics and the relative states of neighbouring agents, a novel adaptive consensus protocol is designed by assigning a time-varying coupling weight to each node. This protocol has two advantages: it is independent of any global information, and hence is fully distributed; and it is implemented by actuators with input saturation constraints. By combining the low-gain feedback method and appropriate Lyapunov techniques, it is shown that our protocol can achieve the semi-global consensus tracking in a fully distributed fashion, under the mild assumptions on agent dynamics and the topology graph. The results are illustrated by numerical simulations
Effects of loading conditions and cold joint on service life against chloride ingress

RC (Reinforced Concrete) members are always subjected to loading conditions and have construction joints when constructed on a big scale. Service life for RC structure exposed to chloride attack is usually estimated through chloride diffusion test in sound concrete, however the test is performed without consideration of effect of loading and joint. In the present work, chloride diffusion coefficient is measured in concrete cured for 1 year. In order to evaluate the effect of applied load, cold joint, and mineral admixtures, OPC (Ordinary Portland Cement) and 40%-replaced GGBFS (Ground Granulated Blast Furnace Slag) concrete are prepared. The diffusion test is performed under loading conditions for concrete containing cold joint. Investigating the previous test results for 91 days-cured condition and the present work, changing diffusion coefficients with applied stress are normalized considering material type and cold joint. For evaluation of service life in RC continuous beam with 2 spans, nonlinear analytical model is adopted, and service life in each location is evaluated considering the effects of applied stress, cold joint, and GGBFS. From the work, varying service life is simulated under various loading conditions, and the reduced results due to cold joint and tensile zone are quantitatively evaluated. The effect of various conditions on diffusion can provide more quantitative evaluation of chloride behavior and the related service life.
Non‐destructive testing method of micro‐debonding defects in composite insulation based on high power ultrasonic

It is crucial to ensure the adhesive quality of the interface in composite insulation equipment for power grid security. Due to viscoelasticity of silicone rubber and roughness of interface, the thickness of the local air layer in the defective interface is <100 μm. This kind of defect is called micro-debonding defect in this paper, and it is significantly smaller than the millimetre-scale air gaps which could be defected by the x-ray, THz, and traditional ultrasonic method. It remains challenging to detect the micro-debonding in composite insulation by non-destructive testing methods. In this paper, the acoustic model and bi-linear stiffness model for micro-debonding in different stages are established. Accordingly, a conjecture is proposed that the bonding property of composite insulation is related to the acoustic impedance of interface and non-linear distortion of its constitutive relation. The result obtained from numerical simulation with and without defect is compared with the high-power ultrasonic experimental data to validate the correctness of the theoretical model. In addition, it can be concluded that the non-linear distortion of high-power ultrasonic wave can be effectively used to diagnose micro-debonding defect at the interface of composite insulation in its early stage (1–20 μm).
Evolution of the mud patch in the north Yellow Sea and its response to climate change in the past 160 years

As the most important sediment source to the north Yellow Sea (NYS), the sediment discharge from the Yellow River has substantially decreased for at least half a century. The response of the existing mud patches to this decline is not well understood. Here, we present high-resolution grain-size parameters and geochemical composition of one gravity core (B23) collected in the NYS mud patch to investigate the behavior of the mud patch variation in correspondence to the Yellow River’s sediment discharge reduction. The B23 age model is derived by 210Pb dating method, and the average sedimentation rate is estimated to be 0.49 cm/year. Results of a geochemical discrimination analysis suggest that the sediments of B23 were mainly transported from the Yellow River by the strong coastal current along the Shandong Peninsula, whereas the contributions of sediments from Yangtze and Yalu rivers are also measurable. In around 1980, the ratio of sediments from the Yellow River underwent an apparent decrease in the NYS mud. Simultaneous changes include coarsening of grain size and disaccord between East Asia Winter Monsoon intensity and content of sensitive grain size. These are all directly or indirectly due to the decline of the Yellow River’s sediment discharge.
Mechanical efficiency of fish thrust induced by tail beating: comparison between kinetic energy and metabolic energy

There are few studies that compare thrust power PT induced by tail beating with net metabolic power Pnet obtained from oxygen consumption and mechanical efficiency η (= PT Pnet ) of fish thrust. In this study, PT and Pnet were obtained using two species of chub mackerel and Japanese dace, and η was calculated by comparing kinetic energy and metabolic energy. PT was calculated by multiplying swimming speed Vswim and thrust force T obtained using two calculation methods, the Milne–Thomson principle and Kutta–Joukowski theorem. Comparing each value, η showed a certain ratio irrespective of fish species and swimming speed. Linear approximation resulted in PT = 0.21 Pnet for Milne– Thomson and PT = 0.44 Pnet for Kutta–Joukowski.
Image Segmentation with Hierarchical Models

Image segmentation is the problem of partitioning an image into disjoint segments that are perceptually or semantically homogeneous. As one of the most fundamental computer vision problems, image segmentation is used as a primary step for high-level vision tasks, such as object recognition and image understanding, and has even wider applications in interdisciplinary areas, such as longitudinal brain image analysis. Hierarchical models have gained popularity as a key component in image segmentation frameworks. By imposing structures, a hierarchical model can efficiently utilize features from larger image regions and make optimal inference for final segmentation feasible. We develop a hierarchical merge tree (HMT) model for image segmentation. Motivated by the application in large-scale segmentation of neuronal structures in electron microscopy (EM ) images, our model provides a compact representation of region merging hypotheses and utilizes higher order information for efficient segmentation inference. Taking advantage of supervised learning, our model is free from parameter tuning and outperforms previous state-of-the-art methods on both two-dimensional (2D) and three-dimensional EM image data sets without any change. We also extend HMT to the hierarchical merge forest (HMF) model. By identifying region correspondences, HMF utilizes inter-section information to correct intra-section errors and improves 2D EM segmentation accuracy. HMT is a generic segmentation model. We demonstrate this by applying it to natural image segmentation problems. We propose a constrained conditional model formulation with a globally optimal inference algorithm for HMT and an iterative merge tree sampling algorithm that significantly improves its performance. Experimental results show our approach achieves state-of-the-art accuracy for object-independent image segmentation. Finally, we propose a semi-supervised HMT (SSHMT) model to reduce the high demand for labeled data by supervised learning. We introduce a differentiable unsupervised loss term tha t enforces consistent boundary predictions and develop a Bayesian learning model that combines supervised and unsupervised information. We show that with a very small amount of labeled data, SSHMT consistently performs close to the supervised HMT with full labeled data sets and significantly outperforms HMT trained with the same labeled subsets.
Fingerprint Liveness Detection Using Difference Co-occurrence Matrix Based Texture Features

Fingerprint authentication systems have been widely deployed in both civilian and government applications, however, whether fingerprint authentication systems is security or not has been an important issue under fraudulent attempts through artificial spoof fingerprints. In this paper, inspired by popular feature descriptors such as gray level co-occurrence matrix (GLCM) and Gradient (difference matrix (DM)), we propose a novel software-based fingerprint liveness detection algorithm called difference co-occurrence matrix (DCM). In doing so, quantization operation is firstly conducted on the images. DMs are constructed by calculating difference matrices of horizontal and vertical pixel values of images; difference co-occurrence arrays are constructed from the difference matrices between adjacent pixels. To reduce the influence of abnormal pixel values, truncation is used for DMs. Then, we compute four parameters (Angular Second Moment, Entropy, Inverse Differential Moment and Correlation) used as feature vectors of fingerprint images. For the first time in the fingerprint liveness detection, we construct eight difference co-occurrence matrices and extract texture features from processed DCMs. Finally, SVM classifier is used to predict classification accuracy. The experimental results reveal that our proposed method can achieve more accurate classification compared with the best algorithms of 2013 Fingerprint Liveness Detection Competition, while being able to recognize spoofed fingerprints with a better degree of accuracy.
Implementation of Bad Information Filtering System Based on SVM Algorithm

1 College of Information Science and Engineering, Guilin University Of Technology, Guilin ,Guangxi Zhuang Autonomous Region, China, 541000 2 Guilin University of Technology, Guangxi Key Laboratory of Spatial Information and Geomatics, China, 541000 3 College of Mechanical and Control Engineering, Guilin University Of Technology, Guilin, Guangxi Zhuang Autonomous Region, China, 541000 729020742@qq.com