Miracle-dz/UniFAR-FTUs huggingface dataset:
Fault Tolerant Multi-Sensor Federated Filter for AUV Integrated Navigation

Localization and autonomous navigation with high precision, high reliability and low cost is an important part of Autonomous Underwater Vehicle (AUV). Although using more accurate inertial navigation system can improve the accuracy, it will make the cost of navigation system very expensive, and a single sensor cannot cope with the complex environment that AUV is facing. By utilizing the complementary and redundant characteristics of various sensors (SINS/GPS/DVL/AHRS), the improved federated filter can achieve higher navigation performance and stability than using a single system alone. In practical applications, low-cost GPS usually has short-term uncertain abnormal jumps, which will affect the filtering performance of federated filter to a great extent. The traditional federated algorithm of single reference system does not have fault tolerance. At the same time, there exists the problem of poor fault tolerance of filters with feedback and poor precision of filters without feedback. In view of the above problems, this paper proposes a multi-sensor redundant integrated navigation system based on data preprocessing, which improves the stability and accuracy of the federated system and is more suitable for engineering applications.
Dynamic Distributed Honeypot Based on Blockchain

Honeypot technology can be applied to efficiently attract attackers and exhaust their resources. However, the traditional static honeypot is easy to be recognized by anti-honeypot technology. By contrast, most of the dynamic honeypots can simulate the real system in time, thus interacting with an intruder in disguise. In this paper, we employ the dynamic property of honeypot in four kinds of services of our system. However, this dynamic property shows up in a location and identification, indicating that genuine or fake services (honeypots) are changeable in different hosts. Thus, the dynamic property of our system differs from the dynamic honeypot aforementioned. Besides, we adopt the blockchain platform (Ethereum) to decentralize our system and store the port access data by delivering a private chain. To illustrate the effectiveness of our scheme in theory and practice, security analysis, eavesdropping attack, scanning attack, and DoS attack experiments are conducted. The results show that our scheme is valid in safeguarding against network attack.
A Semantic Similarity Measure Based News Posts Validation on Social Media

At present, Social media networks are widely used for information sharing among billions of people around the globe. However, the credibility of information shared through social media is questionable because the sharing mechanisms used are endless and the initiator of a news item is often unknown. This results in sharing of inaccurate information since the users of social media networks share news posts without varying the authenticity and the accuracy. In order to address this issue, a novel approach to calculate the accuracy level of news posts is proposed in the research paper. The aim of this research project is to provide an accuracy level for a social media news post that is posted as a status update by a user. The proposed system extracts the content of the news item, searches the Internet to find similar articles in reliable online news sources, matches the extracted content with the content of the news sites and generates an accuracy level. In developing the system, Natural Language Processing techniques such as web scraping techniques, web crawling techniques, URL ranking methodologies, automatic text summarization techniques and semantic analysis techniques such as Word2vec and cosine similarity are used. After implementing our system, we have gained a 70% of accuracy of relevancy of news posts on social media with compared to the reliable online news sources.
Bioremediation of Metalliferous Wastes and Products using Inactivated Microbial Biomass

In a develo~i? g country like India,. the rush for rapid industrial developmentcoupled with lack of awarenessabout metal toxl~lty has beco~~ a serIOUSconcern to environmentalists. Some technologies, which are used indeveloped countries for detoxifying metals from industrial effiuents, cannot be used in India due to economicconstraints. Therefore, there isan urgent need for developingan economicaland environment-friendly technologyAt t~e same tim~,. itisessenti~lto prevent the lossofmetals through the effiuents.The 'Metal Biosorption' proces~provides aprormsmg alternative methodforeconomicalrecoveryofmetals.Keywords: bioremediation, metals,biosorption,biomass
Steerable Sparse Linear Array Synthesis using Second Order Cone Programming

We present the design of steerable Sparse Linear Array (SLA) for 2D forward looking sonar imaging system in this paper. The mathematical model includes constraints for multiple steering directions in the Field Of View (FOV) and this model is based on the Compressive Sensing (CS) theory. The sparsity in this model is introduced by considering oversampled linear aperture (i.e. densely populated aperture by sensors). This model defines the Main Lobe Width (MLW) constraints indirectly by matching the beam pattern of the synthesized SLA with the desired beam pattern in the main lobe region for all steering direction. The Side Lobe Peak (SLP) constraints in this model are defined directly for all steering directions. This optimization problem is a disciplined convex program and its equivalent formulation is a second order cone programming problem. The SLA synthesized using this method has separate weights for each steering directions. The SLA synthesized using this method is compared with the SLA designed using Multiple beam, Measurement Vectors (MMV) CS method. The performance of the synthesized SLAs is compared in terms of reduction of sensors with half wavelength spacing Uniform Linear Array (ULA) and MLW % error. We present the design results of forward looking sonar imaging system for frequencies 37.5 kHz and 75 kHz having angular resolution 6.4° and 3.2° respectively, with 11 and 19 beams in FOV.
Sinusoidally Modulated Stub-Loaded Microstrip Leaky Wave Antenna

A millimeter-wave sinusoidally-modulated leaky-wave antenna (LWA) based on open-stub loaded microstrip line is presented in this paper. The equivalent surface impedance of the guiding structure is varied according to the width of the stubs. The proposed antenna is studied based on a silicon substrate. A transition tapered section is used to match the designed antenna to the feeding microstrip line. The procedure allows for nearly independent control of the leakage and phase constants along the surface.
Segmentation of Side Scan Sonar Images on AUV

Side scan sonar is an active sonar. It uses seafloor backscattering to obtain the topographic information of the seabed, and constructs seabed topographic image information, which is the basis of seabed imaging. For AUV equipped with side scan sonar, the interpretation of sonar images is beneficial to enhance their autonomy. Based on efficient and accurate segmentation algorithm, the efficiency and accuracy of target recognition can be ensured. Therefore, how to automatically extract and understand marine information in acoustic images becomes the current research hotspot. Related work such as classification of marine targets, detection of underwater targets, etc. Real-time image acquired by the side scan sonar carried by AUV. In order to better identify the seabed information, we combine data augmentation, super-resolution technology, deep learning, and Markov random field(MRF). First, perform data preprocessing, getting marine data sets is very difficult and expensive. For small data sets are not sufficient to support deep network, and in order to prevent overfitting, we have performed data augmentation. Second, because the data collected by the sonar contains more noise, in order to achieve better image recognition, we introduced a super-resolution technology to process the low-resolution image into a high resolution image. Third, we perform image segmentation for the processed data. During this process, the resolution of the data collected by the side scan sonar is very low. In order to avoid the images as the network deepens, receptive field is getting smaller and smaller, so that more noise is added, we have adopted the DeepLab network framework. Finally, in order to better reflect the generalization ability of the network, so that the network has better performance, we take into account the label information of the nearby image, the Markov random field(MRF) was introduced at the back end. Experiments show that this method has better results.
A 3.3-mW Low Phase Noise VCDL for Factorial Delay-Locked Loops

A voltage-controlled delay line (VCDL) circuit to be used in factorial delay-locked loops (DLLs) that meets the requirements of the radio frequency (RF) communication standards in the band of 0.9–4 GHz is presented. The proposed circuit utilizes a differential ring oscillator with sub-feedback loops to obtain multi-phase outputs. A differential current-starved delay cell with symmetrical load is used. The circuit offers two quadrature phase outputs. The proposed VCDL achieves a very low phase noise of −143 dBc/Hz with a figure of merit of −208 dBc/Hz meeting the phase noise requirements of the GSM standard; the most severe standard in terms of phase noise requirements in the targeted band. The circuit consumes a 3.3-mW from a 1.2-V supply implemented in 130-nm CMOS technology and occupies an area of 66×40 μm2.
Emotion Recognition Using Chaotic Features And Symbolic Dynamic via Neural Networks

Emotion is one of the most critical aspects of human life which is mostly part of the daily decisions of individuals. The purpose of this study is to examine the brain signals of individuals during the onset of emotion. In this research, the qualitative and quantitative analysis of symbolic dynamics, which is a nonlinear method suitable for studying the behavior of biological signals, has been created between different stages of emotional separation. Symbolic dynamical analysis has proven to be ideal for analyzing complex systems and dynamic time series descriptions. In addition, to extraction of nonlinear and chaotic features (correlation dimension, recurrent quantification analysis (RQA)), used principal component analysis method (PCA) to reduce dimensions of features and then classified 3 emotional classes, LALV, HAHV, and neutral using the multilayer perceptron neural network (MLP with different configurations) and K nearest neighbor (KNN). To evaluate the proposed method, electroencephalogram (EEG) signals from the DEAP database is used. In this database, 32 EEG channels were recorded from 32 people while watching music video clips. The results of this study have shown that the highest average accuracy of classifying 3 emotional classes with PCA as the method of selection/composition of the features for the 5-NN is 85%. Also, the accuracy of the multilayered perceptron achieved 79%. The accuracy after using the PCA method has also increased by 7% (from 78% to 85%).
THE VALUE OF EDUCATION AS A PRE-REQUISITE FOR OCCUPATIONAL LICENSING IN THE BUILT ENVIRONMENT

During the last 50 years, education for the built environment professional in Australia has undergone many changes. The profession encompasses construction, project management, property agency, valuation, engineers and architects. Within Australia, each state and territory has a range of regulatory bodies and professional associations to monitor and enforce compliance and licensing relating to educational requirements. Professional licensing requirements often drive tertiary education requirements. This research paper examines the need for compulsory education in the property and construction industries. Additionally, emphasis on the fields of knowledge embedded within the course curriculum, and the requirements for work experience are discussed. The research is complemented with data from New South Wales and the governments’ purpose for initially introducing compulsory education, and the subsequent amendments thereafter. It is argued that education as a pre-requisite for occupational licensing provides many benefits for the end user. Furthermore, with the changing nature of the work environment, education is viewed as a convenient vehicle to deliver the needs of the consumer. The paper concludes with an evaluation of the current regulatory controls on the educational requirements within the property and construction sectors.
Solubility and Phase Behavior of CL20 and RDX in Supercritical Carbon Dioxide

Abstract : CL20, a high-energy explosive compound, is a polyazapolycyclic caged polynitramine (2,4,6,8,10,12- Hexanitro- 2,4,5,8,10,12-hexaazaisowurtzitane). The combustion and detonation characteristics of CL20 can be improved if it is formed into nanoparticles of uniform size. A new, promising process for particulation of materials utilizes environmentally benign compressed gases as either solvents or anti-solvents. Predictive models are required to describe the solubility and phase behavior of supercritical solutions of CL20 and supercritical carbon dioxide and for process simulation and development. Here, the solubility of CL20 in supercritical carbon dioxide was evaluated using the Peng-Robinson cubic equation of state. Critical properties, vapor pressure, and other required thermodynamic properties were estimated using a variety of available estimation techniques. A Fortran program to predict the solubility of CL20 was developed during the course of this project. The program was validated using available literature data for the solubility of naphthalene and of biphenyl in supercritical carbon dioxide. The applicability of the estimation techniques employed for the critical properties for CL20 was established using these same techniques to estimate the critical properties of comparable compounds, including RDX and HMX. Solubility data for RDX in supercritical carbon dioxide reported in the literature were also used to establish the validity of the estimation approach. Solubility was predicted over the temperature range of 305.15 to 368.15 K and over the pressure range of 74 to 150 atm. In general, as the temperature increases, the solubility decreases, while as the pressure increases, the solubility increases.
Femtosecond Laser-Induced Oxide Formation on Molybdenum Thin Films in Varying Low-Pressure Oxygen Environments

Author(s): Redenius, Jon | Advisor(s): Aguilar, Guillermo | Abstract: Pulsed laser processing is a technique to induce optical and structural changes in materials, such as oxide line and ring structures, when metallic samples are irradiated with high intensity lasers in oxygen and mixed atmospheres. The oxides, which can have very different electrical and optical properties, are gaining momentum in novel technical applications such as electrochromic devices, electrodes in microbatteries, gas sensors, and catalysts, among others. When a femtosecond laser irradiates a transition metal thin film, the thin film reacts with the gaseous species, producing different chemical and structural phases, depending on the localized atmosphere and laser irradiance characteristics, e.g. the fluence, polarization, and duration of exposure. Here we present a processing study of femtosecond (fs) laser processing on molybdenum (Mo) thin films. The laser used is an Ytterbium-doped oscillator in the near infrared (1028 nm), ultrafast (230 fs pulse width), and with a high repetition rate (54 MHz). Irradiations are done under ambient air as well as pure oxygen gas conditions to document how the oxidations occur under varying environments. Our results indicate that the high heating rates and electric-fields associated with laser processing allow the production of different phases and that a detailed fine-tuning of different variables can manipulate the oxidation of the samples. Raman spectroscopy, scanning electron microscopy, and atomic force microscopy are used in characterizing the oxidation of the different phases for the different irradiation parameters chosen. Our results indicate a high correlation between the increasing of the alpha-MoO3 formation area with the increasing of gas concentration and pressure.
Comparison of hair and nail ethyl glucuronide concentrations Saç ve tirnakta etil glukuronid konsantrasyonlarinin karşilaştirilmasi

Objective: Alcohol abuse remains to be an important problem in the world. In forensic medicine practice, alcohol and its metabolites should be detected in the body in order to determine whether a person has taken alcohol or not. Therefore, detection of ethyl glucuronide in such keratinous tissues as nails and hair following alcohol intake is important. In the present study, we compared hair ethyl glucuronide concentrations with nail ethyl glucuronide (EtG) concentrations. Methods: Hair and nail specimens were obtained from a total of 16 people taking alcohol. The specimens were analyzed with LC/MS/MS technique. Ethyl glucuronide concentrations of hair specimens were compared with those of nail specimens. Results: Ethyl glucuronide concentrations were 1.3365. 67 (+/- SD16.57) ppb in hair specimens and 4.27225. 03 (+/- SD 59.77) ppb in nail specimens. Hair ethyl glucuronide concentrations were correlated with nail ethyl glucuronide concentrations (r=0,808, p<0.001). Conclusion: This study showed that ethyl glucuronide concentrations in hair and nails could be determined. This suggests that detection of nail ethyl glucuronide concentrations can be useful in people without hair. In addition, there was a significant relationship between hair and nail ethyl glucuronide concentrations.
Association of Helicobacter Pylori Infection and Serum Ferritin Levels in Sudan

Background:Helicobacter pylori (H. pylori) is a type of bacteria responsible for widespread infections. Iron enters the stomach from the esophagus. Iron is oxidized to theFe3+state no matter its original from when taken in orally.H.pylori infection may disturbs some function of mucosa and leads to decrease in iron absorption. Objective: The purpose of this study was todetermine the association of Helicobacter pylori infection and Serum Ferritin levels. Materials and Methods:One hundred and twenty samples were included (60 samples of H.pylori infected individuals and 60 samples of healthy individuals to be used as control) all of them were evaluated to determine serum ferritin levels. H.Pylori of the study participants was determined by using an immunochromatographic rabid test for the qualitative detection of H,pylori in human serum. Results:there were no significant differences in the haematological values and s.ferritinlevel between the study group and controls. Conclusion:The findings indicate that there was no association between H.Pylori and serum Ferritin.
How Effective Is the Research and Development Ecosystem for England's Schools?.

This article examines the role of research and development within England's school system. From a range of literature past and present we argue that six features (three dimensions) should form the focus for action at the institutional, systemic and policy levels. Applying these stress tests to the current system, we suggest that an effective ecosystem of research-informed schools is as yet not being fully realized. We argue that the keys to improving this are to change the structures, cultures and incentives that bridge the research–practice divide, and to align accountability arrangements to allow schools to learn through enquiry.
Geological-Mathematical and Economic Informations in Geological-Economic Study of Mineral Resources

--------------------------------------------------------ABSTRACT------------------------------------------------------------Different types of information are used in studying the genetic and economic characteristics of mineral resources, including geological and mathematical and economic-mathematical information of particular importance. Geological-mathematical informations and models allow both systematic and complete study on mineral deposits per all elements of a complex genetical model of mineral deposits, and economic-mathematical information according to the geological-economic model of mineral deposits. In the work with genetic studies it is of particular importance to participate in the interpretation of the conditions and the way of becoming, quantification and functional expression of parameters of the ore process and spatial localization of mineral products. In the area of economic studies, they are important for expressing factors and indicators of a geological and economic evaluation, in order to arrive at the final expression of the value of mineral reserves. From a pact economic side it is of particular importance to examine the conditions and economic effects of geological exploration of mineral resources, their exploitation, technological treatment and market valorization in various economic activities and activities.
"An Eye for an Eye, a Tooth for a Tooth." A Study of Political Violence and Counter-insurgency in Egypt

This paper analyses a newly collected time-series database measuring the dimensions of violent political conflict in Egypt. Attention is focused on the interaction between politically motivated attacks by Islamists and the counter-insurgency measures used by the Egyptian government. The intensity of security force activities responds immediately to all kinds of Islamist violence, regardless of the target of the attack. However, there are significant asymmetries in the way that the different forms of Islamist violence respond to the different security force activities.
Probabilistic Causation Without Probability

The failure of Hume’s ‘constant conjunction’ to describe apparently causal relations in science and everyday life has led to various ‘probabilistic’ theories of causation of which (Suppes 1970) is an important example. A formal model that was developed for the analysis of comparative agricultural experiments in the first quarter of this century can be used to give an alternative account of ‘probabilistic causality’ that does not take a stand as to the stochastic or deterministic nature of the causal connection. The approach has many applications in social, behavioral and medical science. This paper discusses the formal model in detail, applies it to ‘probabilistic causation’ and compares the resulting theory to Suppes’s theory.