Miracle-dz/UniFAR-FTUs huggingface dataset:
Anti-windup controller synthesis via linear parameter-varying control design methods

We provide a novel, systematic anti-windup control synthesis approach for systems with actuator saturation using a linear parameter-varying (LPV) design framework. The closed-loop induced L/sub 2/ gain control problem is considered. Different from previous two-step design schemes, the proposed approach directly utilizes saturation indicator parameters to schedule accordingly the parameter varying controller. Hence, the synthesis conditions are formulated in terms of linear matrix inequalities (LMIs) that can be solved very efficiently. The resulting gain-scheduled controller is nonlinear in general and would lead to graceful performance degradation in the presence of actuator saturation nonlinearities.
Sistem Deteksi Cacat Perangkat Lunak Berbasis Aturan Menggunakan Decision Tree

Penjaminan kualitas perangkat lunak dapat dilakukan di setiap langkah dalam proses pengembangan perangkat lunak. Cacat adalah hal yang harus dihindari dalam pengembangan perangkat lunak. Pendeteksian cacat sedini mungkin merupakan sebuah langkah penjaminan kualitas perangkat lunak. Indikator cacat pada perangkat lunak dapat diketahui dari kompleksitas kode program yang dikembangkan. Dalam penelitian ini digunakan tiga metode pengukuran kompleksitas kode antara lain yaitu, Lines of Code (LOC), McCabe’s Cyclomatic Complexity dan Halstead’s Volume. Tujuan penelitian ini adalah otomatisasi proses pendeteksian cacat pada perangkat lunak berdasarkan nilai kompleksitas kode program dengan menggunakan metode klasifikasi berbasis aturan. Aturan-aturan pada metode klasifikasi dibangkitkan menggunakan algoritma Decision Tree. Aturan-aturan tersebut diterjemahkan menjadi Semantic Web Rule Language (SWRL) untuk diimplementasikan pada sebuah ontologi. Ontologi dan SWRL disimulasikan pada aplikasi Protege sehingga proses deteksi dapat dilakukan dengan cara otomatis. Sistem pendeteksi cacat berbasis aturan dengan pembangkit aturan decision tree menghasilkan tingkat keakuratan sebesar 0,933, yang berarti bahwa sebanyak 93% dari data dapat diprediksi dengan benar. Kata Kunci Aturan, Decision Tree, Deteksi Cacat, Kualitas Perangkat Lunak, Perangkat Lunak.
Effects of computer-assisted collaborative strategic reading on reading comprehension for high-school students with learning disabilities

The effects of Computer-Assisted Collaborative Strategic Reading (CACSR), in comparison with a comparison sample of a typical language arts resource class, on reading comprehension for high school students with learning disabilities (LD) were examined. CACSR is a researcher-developed computer program that provides systematic instruction in four comprehension strategies of Collaborative Strategic Reading (CSR), enhanced with researchrecommended technical features of Computer-Assisted Instruction (CAI), for the purpose of enhancing reading comprehension for students with LD. vii One language arts resource class teacher and 23 students with LD who attended his class sections participated in this study. The four class sections were randomly assigned to either the CACSR group or the comparison group (i.e., a typical language arts resource class). Students participated in 25, 50-minute CACSR sessions for 12 weeks. Before and after the 12-week of the CACSR intervention, all students in both groups were evaluated on comprehension performance as measured by the Woodcock Reading Mastery Test-Revised-Passage Comprehension. Additionally, student interviews were conducted with students who received the CACSR intervention after the intervention was completed. A 2 (CACSR vs. comparison) by 2 (pretest vs. posttest) repeated measure analysis of variance (ANOVA) revealed that there were no statistically significant intervention or intervention-by-time interaction effects; however, there was a statistically significant time effect on comprehension. Practical significance test using effect sizes revealed that an intervention/comparison group difference effect size at posttest was . 24, while it was . 13 at pretest. Also, the pretest to posttest mean difference effect size for the CACSR group was . 81, while for the comparison group it was . 33.
Effect of Severe Image Compression on

We investigate three schemes for severe compression of iris images in order to assess what their impact would be on recognition performance of the algorithms deployed today for identifying people by this biometric feature. Currently, standard iris images are 600 times larger than the IrisCode templates computed from them for database storage and search; but it is administratively desired that iris data should be stored, trans- mitted, and embedded in media in the form of images rather than as templates computed with proprietary algorithms. To reconcile that goal with its implications for bandwidth and storage, we present schemes that combine region-of-interest isolation with JPEG and JPEG2000 compression at severe levels, and we test them using a publicly available database of iris images. We show that it is possible to compress iris images to as little as 2000 bytes with minimal impact on recognition performance. Only some 2% to 3% of the bits in the IrisCode templates are changed by such severe image compression, and we calculate the entropy per code bit introduced by each compression scheme. Error tradeoff curve metrics document very good recognition performance despite this reduction in data size by a net factor of 150, approaching a convergence of image data size and template size.
Proactive approach at the limits of viability improves the short-term outcome of neonates born after 23 weeks’ gestation

Abstract Objective: The aim of this single-center study was to identify factors that affect the short-term outcome of newborns delivered around the limits of viability. Methods: A group of 137 pregnant women who gave birth between 22+0/7 and 25+6/7 weeks of gestation was retrospectively studied. The center supports a proactive approach to infants around the limits of viability. Perinatal and neonatal characteristics were obtained and statistically evaluated. Results: A total of 166 live-born infants were enrolled during a 6-year period; 162 (97.6%) of them were admitted to the neonatal intensive care unit (ICU) and 119 (73.5%) survived until discharge. The decrease in neonatal mortality was associated with an advanced gestational age (P<0.001) and a completed course of corticosteroids (P=0.002). Neonatal morbidities were common among infants of all gestational ages. The incidence of severe intraventricular hemorrhage significantly depended on gestational age (P<0.001) and a completed course of corticosteroids (P=0.002). Survival without severe neonatal morbidities was 39.5% and occurred mostly after 24+0/7 weeks of gestation. Conclusion: The short-term outcome of newborns delivered around the limits of viability is mostly affected by gestational age and antenatal corticosteroid treatment. A consistently proactive approach improves the survival of infants at the limits of viability. This is most pronounced in cases where the delivery is delayed beyond 24 completed gestational weeks.
Fuzzy inverse incremental model as tracking controller for SISO systems

The problems encountered in using a fuzzy logic-based single neuron controller (SNC) for the tracking control of nonlinear SISO systems are shown to be overcome by the use of a fuzzy inverse incremental model (FIIM) of the same process as the tracking controller. The proposed method of tracking control uses online tuning of the universe of discourse and online identification of the FIIM. Three different algorithms for the linguistic/fuzzy modeling of SISO systems are proposed. The comparative results of using these algorithms for the tracking control of some nonlinear systems are shown. <<ETX>>
Layered-depth image using pixel grouping

Recent advance in computer hardware and Internet technology makes more realistic images affordable on our computer systems. However, the image creation by using conventional geometry modelling have limitations in terms of rendering time and image quality to be used in interactive rendering applications. Image-based rendering (IBR) technique is a good solution to reducing those limitations in such applications. As an improvement on the well-known layered-depth image (LDI) method, we propose a way of pixel grouping from depth images and making image generation efficient by utilizing the information obtained from the grouping.
Tactile sensing and analogic algorithms

The challenges associated with sensing tactile events are formidable, requiring the ability to sense changing contact geometries, pressure distributions and vibrations at the user's fingertips. Despite years of research, telerobotic consoles provide their operators mainly with visual feedback and overall handling forces. The goal of the research presented herein is to extend the capabilities of current systems by adding tactile sensing and processing. This thesis presents new methods of tactile sensing and processing for dexterous telemanipulation, i.e., telemanipulation that involves imparting forces and motions with the fingertips. The motivating hypothesis for this work is that sensing and processing forces and torques at the contact location provides essential information for dexterous telemanipulation. The main topic of this dissertation is a proactive-adaptive, multi-modal sensingprocessing-actuating investigation system based on behavior patterns observed in nature. Humans in an unknown, unstructured environment first get global information about surroundings by using vision. If attention is focused on a given object, humans gather additional information in order to complete the visual information with palpation. It is possible to detect new attributes fusing the two modalities. It is impossible to detect them using these two modalities separately. The most important part of the experimental system is the tactile sensor array. I present a new tactile sensor array that consists of an array of piezo-resistive tactile sensing elements (taxel). This sensor is developed as a collaboration of MTA-MFA, MTA SZTAKI and “Anyos Jedlik” Lab. The spatial distribution of the taxels is comparable to the machanoreceptors in the human fingertips i.e. 1.5 mm. The most important aspect of this new sensor array is that in contrast to the conventional tactile sensors, this sensor can sense the 3D component of the acting forces, and has 6 Degree Of Freedom.
An Efficient RSA Based Data Integrity Schema in Secured Cloud Storage

This study aim is to address the problem of outsourcing data. Cloud computing is the delivery of computing as a service rather than a product, whereby shared resources, software and information are provided to computers and other devices as a utility over a network. The imperative feature of cloud services is that the user data are frequently processed remotely in unidentified machines that users do not own or operate. Due to this reason, the data owner loss their original data and it becomes an important obstruction to the extensive implementation of cloud services. This study introduces the term data accountability based encryption and users can substitute to a Third- Party Auditor (TPA) for the verification of data integrity problem. This study proposes the security of the outsourced data in cloud by generating keys for each cloud user attribute with Attribute Based Encryption (ABE) using Efficient RSA (Rivest, Shamir, Adleman) schema and Ring Based Fully Homomorphic Encryption (RBFHE) schema for uploading user data.
Application of Neural Network to Medicine

In this article we are going to introduce certain applications of the theory of neural network to medicine. In particular suppose for a given disease D, belonging to the category of immune deficiency diseases or cancers, there are numbers of drugs each with partial remedial effect on D. We are going to formulate a cocktail consisting of mixture of the above drugs with optimal remedial effect on D.
Improving Human-Robot Awareness through Semantic-driven Tangible Interaction

Introduction It is a well settled prediction that robots might be the next worldwide breakthrough , after the computer revolution in 1990s that gave rise to the Information Age. This passes through the achievement, by the robotic industry, of a critical consumer mass fostered by the massive deployment of robotic systems in our world. Robots for domestic services, health care, entertainment, work, or field applications, are just few examples of the manifold potential applications. All these scenarios share a common aspect: the interaction between humans and robots. Effective human-robot interaction relies on attaining an appropriate level of awareness, in terms of the reciprocal understanding of the status of both the involved entities (humans and robots), their activities, environment and, when needed, their mission. From the human perspective, this is referred as human-robot awareness, described by Drury et al. (2003) as: " the understanding that the humans have of the locations, identities, activities, status and surroundings of the robots ". Conversely, from the robot perspective, this is typically denoted as situation awareness, defined by Endsley (1995) as: " the perception of elements in the environment within a volume of time and space, the comprehension of their meaning, and the projection of their status in the near future ". In both cases, a lack of awareness significantly lowers the degree of human-robot interaction, which in turn weakens the overall task performance. Unfortunately, despite its relevance, this aspect is still an open research issue, since it involves non trivial knowledge abstraction processes. From the standpoint of human-robot awareness, a relevant aspect that must be considered is that every interaction is realized via a communication mean. In particular, humans and robots communicate through a robot interface , which is often the Achilles' heel for a valuable awareness. Usually, robot 1 2 CHAPTER 1. INTRODUCTION interfaces are composed of two distinct components: (i) control (or input) device, and (ii) view (or output) representation. As for the former aspect, the robotic community has often adopted common input devices, such as: keyboard , mouse, or joystick. While a common approach for human-computer interaction, these devices are inadequate when dealing with robots. First, robots are complex systems that exhibit a high degree of freedom with respect to the manipulation degree of common input interfaces. Second, robots are deployed, move and act in a real world, which is by far more complex and unpredictable than a virtual environment or …
Prospective Observational Study of the Clinical Prognoses of Patients with Bloodstream Infections Caused by Ampicillin-Susceptible but Penicillin-Resistant Enterococcus faecalis

The purpose of this study was to evaluate the clinical impacts of ampicillin-susceptible but penicillin-resistant (ASPR) phenotypes of Enterococcus faecalis on clinical outcomes in patients with bloodstream infection (BSI). A total of 295 patients with an E. faecalis BSI from six sentinel hospitals during a 2-year period (from May 2016 to April 2018) were enrolled in this study. ABSTRACT The purpose of this study was to evaluate the clinical impacts of ampicillin-susceptible but penicillin-resistant (ASPR) phenotypes of Enterococcus faecalis on clinical outcomes in patients with bloodstream infection (BSI). A total of 295 patients with an E. faecalis BSI from six sentinel hospitals during a 2-year period (from May 2016 to April 2018) were enrolled in this study. Putative risk factors, including host-, treatment-, and pathogen-related variables, were assessed to determine the associations with the 30-day mortality rate of patients with an E. faecalis BSI. The proportion of ASPR E. faecalis isolates was 22.7% (67/295). ASPR isolates (adjusted odds ratio, 2.27; 95% confidence interval, 1.01 to 5.02) exhibited a significant association with an increased 30-day mortality rate, and a significant difference in survival was identified in a group of patients treated with ampicillin- and/or piperacillin-based regimens who were stratified according to the penicillin susceptibility of the causative pathogen (P = 0.011 by a log rank test). ASPR E. faecalis BSIs resulted in a >2-fold-higher 30-day mortality rate (26.9%; 18/67) than for the BSIs caused by penicillin-susceptible strains (12.3%; 28/228). The differences in mortality rates of patients stratified by penicillin susceptibility were likely due to the treatment failures of ampicillin and/or piperacillin in patients with an ASPR E. faecalis BSI.
Characterization and Trends of Development in Data Mining Techniques For Intrusion Detection Systems (IDS)

-------------------------------------------------------- ABSTRACT ------------------------------------------------------------- In Information Security, intrusion detection is the act of detecting actions that attempt to compromise the confidentiality, integrity or availability of a resource. Data mining is the process of extracting useful and previously unnoticed models or patterns from large data stores. This work is focused on the characterization and trends of development in data mining techniques for intrusion detection systems. We present a comparative analysis of these techniques vis-à-vis their performance.
Building Schemata in a Media Supported Course

For a variety of reasons the use of media can be beneficial to the collaborative classroom. Effective collaborative classroom techniques in a media supported lesson can be very beneficial to the ESL classroom for both students and teachers. Introducing media into collaborative groups for a class may also have the potential of having difficulties and drawbacks. Knowing these potential difficulties and drawbacks can be advantageous for a class incorporating media that includes all the language skills in collaborative groups. In this paper, I will present ideas for the teacher to initiate student interest, guide collaborative groups to understanding, encouraging them to comprehend media in English. I will also provide insights that I have found beneficial in developing materials and teaching methods that can be incorporated and practically implemented in their classrooms. I will look at what areas of the curriculum and language can be enhanced and taught by using media from the television series the Simpsons. I will look at the strengths and weaknesses of using this animated media material, and what advantages and disadvantages it will give the teacher in relating media to his or her pupils.
Primary cutaneous large B‐cell lymphomas: relevance of the 2017 World Health Organization classification: clinicopathological and molecular analyses of 64 cases

We applied the 2017 World Health Organization (WHO) classification criteria to categorise a series of 64 primary cutaneous large B‐cell lymphomas (PCLBCLs), containing a majority (≥80%) of large cells and a proliferative rate of ≥40%, raising the problem of the differential diagnosis between PCLBCL, leg type (PCLBCL‐LT) and primary cutaneous follicle centre lymphoma, large cell (PCFCL‐LC). The aims were to determine the reproducibility and prognostic relevance of the 2017 WHO criteria.
Going beyond the disability-based morbidity definition in the compression of morbidity framework.

Background As originally proposed by Fries, conceptualizing morbidity solely through associated functional limitation/disability (FL/D) remains the most widely accepted metric to assess whether increases in longevity have been accompanied by a compression of morbidity. Objective To propose a departure from a highly restrictive FL/D-based definition of "morbidity" to a broader view that considers the burden of chronic diseases even when no overt FL/D occur. Design We outline three reasons why the current framework of compression of morbidity should be broadened to also consider morbidity to be present even when there are no overtly measurable FL/D. We discuss various scenarios of morbidity compression and morbidity expansion under this broader rubric of morbidity. Conclusion The rationale to go beyond a purely FL/D-based definition of morbidity includes: (1) substantial damage from chronic disease that can develop prior to overt FL/D symptoms occurring; (2) multiple costs to the individual and society that extend beyond FL/D, including medication costs, health care visits, and opportunity costs of lifelong treatment; and (3) psychosocial and stress burden of being labeled as diseased and the consequence for overall well-being. Adopting this broader definition of morbidity suggests that increases in longevity have been possibly accompanied by an expansion of morbidity, in contrast to Fries' original hypothesis that morbidity onset (based on only FL/D) would be delayed to a greater extent than increases in survival. There is an urgent need for better data and more research to document morbidity onset and its link with increases in longevity and assess the important question on whether populations while living longer are also healthier.
Algorithmic classification of pitch movements

In this paper, we discuss the construction of an algorithm that classifies pitch movements according to the IPO intonation labelling. The classification is performed by a feed-forward network, interpreted as a multi-linear classifier. In speaker-independent tests on a corpus of speech read by non-professionals, up to 81 % of the 279 pitch movements in the test corpus were correctly classified. These results are obtained by using information from the sampled speech data files only; a grammar will be used in the second stage of this study.
On the Verification Problems of the Component-Based Software Development *

The verification problems of the CBSD are related to the fact that a component must be correct with respect to its specifications respectively that the entire system must be correct with respect to its requirements. In this paper, the relation of testing and model checking methods are discussed. An example is given to demonstrate that model checkers can be successfully used for validating usage models and supporting model-based tes ting activities.
Authentication of mobile users in personal communication system

The logical structure of a personal communication system (PCS) is divided into three layers: intelligent layer, transmission layer and access layer. The authentication of mobile users is realized in the intelligent layer. The database structure of the PCS, different from the existing systems such as GSM and IS-41 etc., is centralized. Therefore the authentication schemes used in existing systems cannot meet the requirement of the PCS. In this paper, a user authentication scheme is proposed according to the database structure in the intelligent layer of the PCS. Compared with the existing authentication schemes, it has the following properties: (1) The authentication of mobile users in the visited network is not controlled by its home network. The traffic load of location update and interrogation is greatly reduced. (2) The authentication protocol adopts a public key/secret key hybrid algorithm. (3) When the data transmission network adopts PSPDN or common channel signaling network, the scheme still has very high security.