Miracle-dz/UniFAR-FTUs huggingface dataset:
Application of H_∞ Filter and Kalman Filter in TAN/INS Navigation System

In order to improve the accuracy of TAN/INS navigation system efficiently, this paper analyzes the equations of the system and compares the H∞ filter and Kalman filter. Also, the simulation results are given. The theoretical analysis and experimental results indicate that both the H∞ filter and Kalman filer have better convergence and can improve the precision of TAN/INS navigation system, but the effectiveness of the H∞ filter is better than that of the Kalman filter.
Computational Intelligence Approaches in Developing Cyberattack Detection System

The Internet plays a fundamental part in relentless correspondence, so its applicability can decrease the impact of intrusions. Intrusions are defined as movements that unfavorably influence the focus of a computer. Intrusions may sacrifice the reputability, integrity, privacy, and accessibility of the assets attacked. A computer security system will be traded off when an intrusion happens. The novelty of the proposed intelligent cybersecurity system is its ability to protect Internet of Things (IoT) devices and any networks from incoming attacks. In this research, various machine learning and deep learning algorithms, namely, the quantum support vector machine (QSVM), k-nearest neighbor (KNN), linear discriminant and quadratic discriminant long short-term memory (LSTM), and autoencoder algorithms, were applied to detect attacks from signature databases. The correlation method was used to select important network features by finding the features with a high-percentage relationship between the dataset features and classes. As a result, nine features were selected. A one-hot encoding method was applied to convert the categorical features into numerical features. The validation of the system was verified by employing the benchmark KDD Cup database. Statistical analysis methods were applied to evaluate the results of the proposed study. Binary and multiple classifications were conducted to classify the normal and attack packets. Experimental results demonstrated that KNN and LSTM algorithms achieved better classification performance for developing intrusion detection systems; the accuracy of KNN and LSTM algorithms for binary classification was 98.55% and 97.28%, whereas the KNN and LSTM attained a high accuracy for multiple classification (98.28% and 970.7%). Finally, the KNN and LSTM algorithms are fitting-based intrusion detection systems.
A Low Power 200 MHz Multiported Register File for the Vector-IRAM Chip

Vector IRAM integrates vector processing with embedded DRAM on a single chip to provide high multimedia performance at low energy cost. This report presents the design and the implementation of the VIRAM Vector Register File. Our design successfully faces many challenges such as the need for speed, low power consumption, compact design and multiported access. Using a 0.18 um technology and a 1.3 Volts supply voltage, it operates at 200 MHz, consumes an average power of 330 mW and 8 mm2 of area, and provides eight read and three write ports. A number of available CAD tools were used, including layout tools from CADENCE, extraction tools from Avant! , hspice, timemill and powermill. This report gives emphasis on implementation issues and evaluates the performance and power consumption of our design.
Deep Residual Architecture Using Pixel and Feature Cues for View Synthesis and Temporal Interpolation

In this paper, we propose a deep residual architecture that can be used both for synthesizing high quality angular views in light fields and temporal frames in classical videos. The proposed framework consists of an optical flow estimator optimized for view synthesis, a trainable feature extractor and a residual convolutional network for pixel and feature-based view reconstruction. Among these modules, the fine-tuning of the optical flow estimator specifically for the view synthesis task yields scene depth or motion information that is well optimized for the targeted problem. In cooperation with the end-to-end trainable encoder, the synthesis block employs both pixel-based and feature-based synthesis with residual connection blocks, and the two synthesized views are fused with the help of a learned soft mask to obtain the final reconstructed view. Experimental results with various datasets show that our method performs favorably against other state-of-the-art (SOTA) methods with a large gain for light field view synthesis. Furthermore, with a little modification, our method can also be used for video frame interpolation, generating high quality frames compared with SOTA interpolation methods.
Voyager: Revisiting Available Bandwidth Estimation With a New Class of Methods—Decreasing- Chirp-Train Methods

The available bandwidth (ABW) of a network path is a crucial metric for various applications, such as traffic engineering, congestion control, multimedia streaming, and path selection in software-defined wide-area networks (SDWAN). In recent years, a new class of measurement methods have been proposed to estimate the available bandwidth, decreasing-chirp-train methods. However, the performance and limitations of this new class of methods are neither well studied nor fairly compared beyond simulation studies. In this work, we implement Voyager, a modular framework that allows us to conduct a fair and thorough comparison of how a variety of modern bandwidth estimation methods perform under different network paths and traffic conditions. We shed light on the characteristics and limitations of the internal algorithms of various methods, and propose two new methods. We investigate the impact of various bottleneck types and traffic types, and we explore the performance of these methods on high speed links where interrupt coalescence can cause measurement noise. We finally test Voyager on long-distance Internet links and with live traffic and report our findings.
The Impact of Behavior Biases on Investor Decision Making Regarding Financial Securities

Investor’s irrationality is an inevitable truth that has been over and over highlighted by using researchers [1]. Consequently, this look at is any other effort to assess the role of behavioral biases in financial choice making in Pakistan stock alternate (PSX). A survey questionnaire is designed and used to acquire responses the use of convenience sampling approach from pattern of 184 investor of PSX. Behavioral biases encompass overconfidence, anchoring, disposition, representativeness and availability bias impact of traders. Multiple regression models are used to check impact of five behavioral biases on investment decision. We want to test whether or not those biases overconfidence, anchoring, disposition, representativeness and availability bias effect have significant effective impact on investment decision or not. Primarily based on effects we conclude that whether or not there are lots adjustments in investment decision is because of behavioral biases. This look at will help financial advisors to better recommendation their customers. The only way to reduce these biases can be education and education of traders.
Novel Predictive Maximum Power Point Tracking Techniques for Photovoltaic Applications

This paper offers two Maximum Power Point Tracking (MPPT) systems for Photovoltaic (PV) applications. The first MPPT method is based on a fixed frequency Model Predictive Control (MPC). The second MPPT technique is based on the Predictive Hysteresis Control (PHC). An experimental demonstration shows that the proposed techniques are fast, accurate and robust in tracking the maximum power under different environmental conditions. A DC/DC converter with a high voltage gain is obligatory to track PV applications at the maximum power and to boost a low voltage to a higher voltage level. For this purpose, a high gain Switched Inductor Quadratic Boost Converter (SIQBC) for PV applications is presented in this paper. The proposed converter has a higher gain than the other transformerless topologies in the literature. It is shown that at a high gain the proposed SIQBC has moderate efficiency.
HIGH-CAPACITY HYBRID POWER FILTER FOR HARMONIC SUPPRESSION AND REACTIVE POWER COMPENSATION IN THE POWER SUBSTATION

A high-capacity hybrid power filter for harmonic suppression and reactive power compensation of high-voltage power substation is proposed. The proposed system is composed of the passive power filter and active power filter, which is able to compensate power factor and current harmonic simultaneously for the high-capacity power substation. A kind of configuration of high-capacity hybrid power filter has been proposed, the principles of operation are discussed, the design of passive power filter and analysis of injecting harmonic current by active power filter are given. The digital controller based on DSP for the active power filter is presented. Finally the results of simulation and industrial application are given to verify that the proposed system has good characteristic of reactive power compensation and harmonic filter.
Fish Oil Supplements for Schoolchildren: A Pilot Intervention in a Maltese School for Policy Formulation in School Communities

Introduction: Fish oil containing vitamin D used to be administered in Maltese schools to treat rickets. The oil-soluble vitamins A and D are important for the immune system and vision (vitamin A). Its omega-3 is indicated for behaviour, concentration and learning. It can help in dyslexia, attention deficit hyperactivity disorder, and autism. A pilot project aimed at spreading fish oil awareness and encouraging the government to give this supplement to schoolchildren was set up. Methods: Students from Years 3-6, (7-11 years) attending a girls’ school participated. Risk assessments and parents’ consent were taken. The soft chewable supplement contained 120mg omega-3, 667 I.U. vitamin A and 100 I.U. vitamin D. Compliance, dropouts and reasons for refusing to take the capsules were recorded. The students’ parents/guardians were given a short questionnaire. Results: Findings are based on 46 schooldays. 73 students started the programme. Due to vomiting or swallowing difficulties 58 girls continued the intervention. There were 43 respondents (parents/guardians) for the questionnaire. 86% were strongly in favour of this initiative; 14% were slightly less in favour. All respondents wanted this initiative to remain ongoing. Conclusion: Given some recommendations for improvements, the results are hoped to initiate discussions for a national policy for fish oil at school.
Endoscopic mucosal resection (EMR) versus endoscopic submucosal dissection (ESD) for resection of large distal non-pedunculated colorectal adenomas

Background: Endoscopic mucosal resection (EMR) is currently the most used technique for resection of large distal colorectal polyps. However, in large lesions EMR can often only be performed in a piecemeal fashion resulting in relatively low radical (R0)-resection rates and high recurrence rates. Endoscopic submucosal dissection (ESD) is a newer procedure that is more difficult resulting in a longer procedural time, but is promising due to the high en-bloc resection rates and the very low recurrence rates. Objective: To investigate whether Endoscopic mucosal resection (EMR) is superior to endoscopic submucosal dissection (ESD) for resection of large distal non-pedunculated colorectal adenomas. Methods: PubMed, Google scholar and Science direct were searched using the following keywords: Endoscopic mucosal resection, endoscopic submucosal dissection and Colorectal adenomas. The authors also screened references from the relevant literature, including all the identified studies and reviews, only the most recent or complete study was included. Documents in a language apart from English have been excluded as sources for interpretation was not found. Papers apart from main scientific studies had been excluded: documents unavailable as total written text, conversation, conference abstract papers and dissertations. Conclusion: EMR is safe and effective for treating colorectal adenomas.
Trapped Fields >1 T in a Bulk Superconducting Ring by Pulsed Field Magnetization

One potential application of magnetized RE-Ba-Cu-O (where RE = rare earth or Y) bulk superconductors is as a high-field alternative to conventional permanent magnets in desktop NMR and MRI systems. Pulsed field magnetization (PFM) is one of the most promising practical methods of magnetizing such bulks. However, the trapped fields obtained by PFM are much lower than those obtained using quasi-static methods like field-cooling magnetization (FCM) due to heating during PFM. Furthermore, bulk superconducting rings have proved more difficult to magnetize via PFM than discs. The reported trapped fields in single bulk superconducting rings magnetized by PFM are less than 0.35 T at the centre of the bore due to thermomagnetic instabilities. In this work, systematic PFM measurements on a bulk Gd-Ba-Cu-O ring were carried out and a trapped field of 1.3 T at 55 K was achieved using a multi-pulse, stepwise cooling (MPSC) method. In the MPSC method, a sequence of pulsed fields is used to magnetize the ring bulk. The pulsed field is increased in small increments and the sample temperature is decreased sequentially. Consequently, as some field is already trapped after the first pulse, the motion of the flux for subsequent pulses will be reduced, leading to less heat generated in the bulk sample. This greatly improves the thermomagnetic stability of the PFM process, enabling larger trapped fields.
Enhancement of the direct power control by using backstepping approach for a doubly fed induction generator

In this paper, an improved direct power command strategy based on backstepping was designed to ensure the proper operation of DFIG during the electrical grid faults and to control the stator powers through the injection of the reactive power into the electrical grid to guarantee the voltage return. This strategy contributes to the elimination of high peak currents and stabilizes the active power at its desired optimal value. The backstepping controller used to develop this command is based on the lyapunov function in order to guarantee the stability and robustness of the aero-generator. A Matlab/Simulink simulation and a comparative study were carried out to prove the robustness and efficiency of our developed command. Moreover, despite the variable wind speed, the obtained results prove the validation of the developed command with a total harmonic distortion (THD) that does not exceed 0.33%.
An Implementation of Content Based Image Retrieval and Feature Extraction using Deep Learning

--------------------------------------------------------------------------------------------------------------------------------------- ABSTRACT Many applications related to digital data and digital media comprises of Multimedia content and its analysis is of that much important. During few years its complexity increase with images and increases exponentially since many digital platforms increase the use of social media platform to upload various types of images. And to search those content became a challenging task and open the way of exploration in this area. Many search engines make the use of retrieval of images from the traditional text based method which depends on the metadata. Whereas content based image retrieval system and its research analysis was continuously increases. In CBIR and image classiﬁcation based models, high-level image visuals are represented in the form of feature vectors that consists of numerical values. And to fulfill this significant gap many research now focus on image retrieval with new ideas and concepts. So in this paper we try to implement the new method of image retrieval through classification of some features. To do so low level feature extraction models was used by using various machine learning and deep learning techniques
Expression of Membranous CD155 Is Associated with Aggressive Phenotypes and a Poor Prognosis in Patients with Bladder Cancer

Simple Summary The presence of the poliovirus receptor (known as cluster of differentiation 155 (CD155)) in human cancer is an unfavorable prognostic marker. We investigated whether CD155 expression, divided into membranous and cytoplasmic types, affects the prognosis of bladder cancer (BC) in terms of recurrence-free survival (RFS) and cancer-specific survival (CSS). We found that membranous CD155 (mCD155)-positive cases had shorter periods of both RFS and CSS, whereas there was no association between cytoplasmic CD155 (cCD155) and survival outcomes. The results showed that CD155, especially mCD155, may serve as a poor prognostic marker in BC. Abstract Objective: To investigate the relationship between clinicopathological findings and membranous CD155 (mCD155) or cytoplasmic CD155 (cCD155) expression in bladder cancer (BC). Methods: We retrospectively analyzed 103 patients with BC who underwent radical cystectomy between 1990 to 2015 at Kitasato University Hospital. Immunohistochemical staining was performed to evaluate CD155 expression in tumor cells. Cases with > 10% expression on the membrane or cytoplasm of tumor cells were positive. The Fisher′s exact test was used for categorical variables and the Kaplan–Meier method was used for survival outcomes. Univariate and multivariate Cox regression hazard models were used to evaluate the survival risk factors. Results: Cases that were mCD155-positive were associated with high-grade tumors (p = 0.02), nodal status (p < 0.01), and pT stage (p = 0.04). No association with any clinicopathological factor was observed in the cCD155 cases. Kaplan–Meier analysis showed that mCD155-positive cases had shorter periods of recurrence-free survival (p = 0.015) and cancer-specific survival (p = 0.005). Only nodal status was an independent predictor for both cancer-specific survival and recurrence-free survival in multivariate analysis (p = 0.02 and p < 0.01, respectively). Conclusion: mCD155 expression may be a marker of an aggressive phenotype and a poor prognosis in patients with BC.
Cross-modal Domain Adaptation for Cost-Efficient Visual Reinforcement Learning

In visual-input sim-to-real scenarios, to overcome the reality gap between images rendered in simulators and those from the real world, domain adaptation, i.e., learning an aligned representation space between simulators and the real world, then training and deploying policies in the aligned representation, is a promising direction. Previous methods focus on same-modal domain adaptation. However, those methods require building and running simulators that render high-quality images, which can be difﬁcult and costly. In this paper, we consider a more cost-efﬁcient setting of visual-input sim-to-real where only low-dimensional states are simulated. We ﬁrst point out that the objective of learning mapping functions in previous methods that align the representation spaces is ill-posed, prone to yield an incorrect mapping. When the mapping crosses modalities, previous methods are easier to fail. Our algorithm, C ross-m O dal D omain A daptation with S equential structure (CODAS), mitigates the ill-posedness by utilizing the sequential nature of the data sampling process in RL tasks. Experiments on MuJoCo and Hand Manipulation Suite tasks show that the agents deployed with our method achieve similar performance as it has in the source domain, while those deployed with previous methods designed for same-modal domain adaptation suffer a larger performance gap.
CAN THE INCLUSION OF INDIA AND CHINA WITHIN THE ‘OECD’ GROUP BREAK THE GROWTH EFFECT TO TRANSITORITY?- AN EMPIRICAL ENQUIRY

It has been observed that human capital is an important factor behind economic growth, especially corresponding to the developed countries or, of the Organization of Economic Cooperation and Development (OECD) countries over the past five decades. The theoretical models differ however regarding the extent of impact of human capital upon the economic growth. According to the Solow-Cass-Koopmans type of models, increase in human capital has only transitory effect upon economic growth in the sense that it only affects the level of steady state output with a growth effect only during the transition towards the new steady state growth path. However, according to the Lucas type AK models, human capital has permanent effect on economic growth in the sense that it affects both the level and the growth rate of the steady state growth path. Here, we are going to test the empirical validity of the Augmented Solow Model vis-à-vis Uzawa-Lucas Model in terms of the speed of convergence firstly for the ‘Developed OECD Countries’ to find out whether the impact of human capital on growth is transitory or permanent. Next, we are also going to enquire about the alteration in results, if any, when both India and China are included in the ‘OECD’ Country Group. Here we are using the Dynamic Fixed Effects (DFE) Approach of Panel Data and using the GMM estimators for this purpose.
A Randomized, Double-blind, Placebo Controlled Study of Oral Adenosine Triphosphate in Subacute Low Back Pain

Objective. To assess the efficacy and safety of oral adenosine triphosphate (ATP) in subacute low back pain. Methods. This was a randomized, double-blind, parallel group, placebo controlled clinical trial. The patients were given either ATP 90 mg once daily (n = 81) or placebo (n = 80) for one month. The patients were assessed 3 times during the study period, at days 0, 7, and 30. The primary outcome measure was the Roland-Morris Disability Questionnaire (RDQ) at day 30. Secondary measures of efficacy included visual analog scale (VAS) pain, overall assessments of efficacy by both patient and investigator, and number of dextropropoxyphene and acetaminophen combination tablets used as rescue analgesic. Results. Regarding the RDQ, the mean values dropped from 10.3 ± 2.8 at baseline to 7.5 ± 3.8 (day 7) and 5.2 ± 5.2 (day 30) in the ATP group, and from 11.0 ± 3.5 to 9.1 ± 4.2 (day 7) and 6.1 ± 4.3 (day 30) in the placebo group. The difference between the 2 groups was statistically significant at day 7 (p = 0.02) but not at day 30 (p = 0.2). In other words, the mean changes from baseline were 2.8 ± 3.1 and 2.0 ± 2.6 at day 7 (p = 0.06), and 5.1 ± 3.9 and 5.0 ± 4.2 at day 30 (p = 0.78) in the ATP group and the placebo group, respectively. There were no statistically significant differences in the VAS pain and overall assessments of efficacy between groups at any time point during the study. Conversely, there was a significant difference in the use of the rescue analgesic between groups, in favor of ATP (p = 0.04). Oral ATP was well tolerated. Conclusion. Oral ATP might have an early acting effect in subacute low back pain. Rheumatol 2005;32:1114–7) required.Statistical analysis was performed on the intention-to-treat (ITT) population, taking into account all randomized patients who received at least one dose of the study medication, and using the last observation carried forward technique. The primary criterion (RDQ score) and the VAS pain were stud-ied by a 2-factor (time × treatment) analysis of variance on repeated measures. The chi-square test and the Wilcoxon rank test were used for qualita-tive variables. SAS program (version 12) was used for statistical analysis and the level of significance was defined as p < 0.05.