Miracle-dz/UniFAR-FTUs huggingface dataset:
A Wide-band, Cross Bow-Tie Antenna Using Microstrip Ring

A single-feed, circular polarized (CP), cross bow-tie antenna with parasitic strips and microstrip ring is proposed. Simulated antenna achieves −10-dB impedance bandwidth of 84.4% (1.60 GHz – 3.92 GHz). A 3-dB axial-ratio bandwidth is 60.4% (2.02 GHz – 3.68 GHz). Overall size of the antenna is contained within a radius of. <tex>$42\lambda$</tex> with <tex>$\lambda$</tex> at 2.02GHz. The average realized gain of the antenna is 5.66 dBic in the common bandwidth between −10-dB impedance bandwidth and 3-dB axial-ratio bandwidth.
Emojis in the Digital Writings of Young Danes

This article focuses on the use of emojis by young Danes. We argue that emojis have at least three functions: as a form of guidance to understand posts and avoid misunderstandings (markers of modality and mood), as a form of guidance to help navigation (interactional markers), and as a form of embellishment expressing a sense of fun and feelings (an expressive and aesthetic function). Based on a survey (710 participants including both adolescents (N=297) and adults) and qualitative analyses of naturally occurring emojis on Facebook and Instagram, we found that young Danes aged between 10 and 19 regard emojis as belonging to the domestic/intimate sphere, promoting important features of communication such as emotions, mutual understanding, atmosphere, aesthetics and entertainment. Compared to the answers given by the adults, the young informants perceive emojis as a natural way of showing and expressing their mood, while the adults regard emojis as a secondary language, as compensation for the lack of nonverbal features in written online interaction. 86% of all the informants report that they use emojis at least once a day.
Physical health status of older adults with severe mental illness: The PHiSMI‐E cohort study

The objective was to use various somatic parameters as basis for investigating the physical health of older adults with severe mental illnesses (SMI). A cross-sectional study design is performed by using baseline data from the Physical Health in SMI-elderly (PHiSMI-E) study. Data were collected using the Nursing Monitoring of Somatic Status and Lifestyle - Mental Health instrument in adults aged over 60 with SMI in a large Dutch mental health institute. Ninety-nine elderly SMI patients were included. Somatic comorbidity (84.8%), use of somatic medication (77.7%) and polypharmacy (67.7%) were prevalent. Extrapyramidal symptoms were experienced by 51% of patients, mainly in the subgroup with psychotic disorders (75.6%). Unhealthy diet was reported in 16.2%, obesity in 27.3%, and physical inactivity in 57.6%. Fatigue (67.7%) and dry mouth (66.6%) were the commonest reported physical symptoms. Mean VAS score (scale 0-10) indicating participants' self-perceived physical health was 6.7 (SD ± 1.6). After division of the total patient group into tertiles based on the VAS scores, the lowest tertile was characterized by less physical activity, unhealthier diet, more use of medication, more fatigue, somnolence, and inner agitation. In conclusion, impaired physical health status was common in these older patients with SMI. Although they had more psychiatric and somatic comorbidity than adult SMI patients described in the literature, they had a healthier lifestyle. To reduce morbidity and premature mortality in these frail patients, it is essential that healthcare providers are aware of the high prevalence of somatic comorbidity and symptoms, and of their interactions with the psychiatric disorders. This study improves our understanding of differences in vulnerability factors of older patients with SMI. The (early) detection of somatic comorbidities may improve long-term health outcomes of these patients.
Enhanced Framework for Sentiment Analysis in Text using Distance based Classification Scheme

Social media platform like blogs, social networks and content communities have become valuable resource for mining the sentiments. In fact information gained from the social platform like Facebook and twitter has been expressed to be more important to industries, market, news, public opinion organization and many more. Sentiment analysis in a text is a procedure in which the polarities like positive and negative of a specified text is determined. In this project we are using twitter comments as the text input. The proposed method consists of two phases called testing and training phase. For extracting the features we are using the sentiwordnet. The distance based classifier is used to classify the features. Finally analyses of the sentiments are done by polarities classified by the distance classifier.
A comparitive study on the performance of circular patch antenna using low cost substrate for S-band applications

This paper focusses on comparison of the performance of Circular Microstrip Patch Antenna(CMPA) in S-band between CMPA with soil as substrate and CMPA with RT/Duroid 5880 as substrate. RT/Duroid 5880 is commonly used in the fabrication of Microstrip Patch Antennas (MPA) due to its low electrical loss, low dielectric loss, low moisture absorption etc. However, it is costly. This work tries to prove that soil substrate can be one of the contenders in the future to replace RT/Duroid 5880. The simulation is carried out in Computational Electromagnetic Software FEKO (suite 7.0). The paper concludes by stating that soil substrate being economical can be a potential candidate to replace RT/Duroid 5880 as there is very little to minimal change in key parameters such as bandwidth (a difference of 14.07 MHz), gain (a difference of 0.18 dBi) and directivity (a difference of 0.41 dBi) when the simulation results are compared.
On State Aggregation in a Class of Cyber Physical Energy Systems

Various cyber physical energy systems (CPES) are discrete event dynamic systems (DEDS), in which the states are discrete and the dynamics of state transitions are triggered by events. Markov decision process (MDP) is the major mathematical framework for formulating and analyzing such systems. Look-up table algorithms are usually applied to solve optimization problems in the framework of MDP. The table stores value functions of states. When the system scale is large, it consumes huge memory space and computation budget to store and update the table. Methods like state aggregation are implemented to approximate the value functions. By aggregating several states into a “super” state, the memory space and computation budget are saved when the states are aggregated properly. In the existing researches, all the system state variables are treated equally. Actually, different state variables varies in features. In this paper, we look into the nature of different state variables in a class of cyber physical energy systems, where the state variables can be classified into two categories, action-free and action-based. These two types of state variables are mathematically defined in this paper. We also define the concept of aggregation complexity to measure the level of aggregation of different state variables. Aggregations of these two state variables are studied. Numerical experiments are conducted by a toy example of signal tracking problem and a real example of shared electric vehicles (EVs) scheduling in CPES. It is observed that aggregating the states of action-free state variables has better performance than aggregating action-based ones under the same complexity.
Mutual Coupling Reduction Using Grounded Copper Vertical Plane Structure

Nowadays, a common concern in 5G communications is the large amount of antennas per array, this is important in mMIMO solutions. This imply a reduction of space between elements, and thus a significant increase in coupling.This paper presents a new solution to reduce mutual coupling in an antenna array. A parametric study was made to determine the influence of mutual coupling depending on the distance between each element. A decoupling structure is proposed which consists on a grounded vertical copper plane between every patch. To achieve a better isolation, these new elements introduce an extra coupling. The experimental results indicate that using a Copper Vertical Plane Structure the Coupling can be reduced in 3dB.
Methodischer Beitrag zum neuen Einsatz von Techniken der formalen Verifikation bei seriellen Busprotokollen im automobilen Umfeld

Mit Hilfe der Formalen Verifikation kann die Protokollkonformitat bei der Verifikation garantiert werden. Eine Herausforderung stellen serielle Protokolle mit ihren grosen zu betrachtenden Zeitfenstern dar. Diese Arbeit beschreibt eine Methodik, die die Verifikation von seriellen Protokollen verbessert. Dazu wird eine Aufteilung des Prozesses in mehrere Schichten propagiert, was eine Abstraktion von der Implementierung und eine Erhohung der Qualitat und der Widerverwendbarkeit ermoglicht.
Patrones de color: Adaptación a nuevos métodos de captura cromática contextual como estrategia didáctica

This paper presents the process of improving the model captures “Color patterns” called in 1997, which was registered in the project Color patterns (Gomez et al., 1997). As a reengineering process. This article presents aspects of capture and registration update in line with new color evaluation processes, which result in a new model of capture. Unlike “Color patterns” we consider the capture and interpretation of technical variables, to be linked to methodological strategies in the construction and development of design products. The result will be useful not only in the cultural but commercial and industrial context. Our model capture color evaluation was conducted with a large volume of information, both qualitative and quantitative. The revision of the initial models implemented in different educational settings, with subjects Integral design and Chromaticism, Visual Design program, taking as central reference the topic “posters and packaging development”. These experiences allowed focus, describe and diagnose the viability of the captive model and the learning process of students.
Hybrid Sampling Evolution Strategy for Solving Single Objective Bound Constrained Problems

This paper proposes an evolution strategy (ES) algorithm called hybrid sampling-evolution strategy (HS-ES) that combines the covariance matrix adaptation-evolution strategy (CMA-ES) and univariate sampling method. In spite that the univariate sampling has been widely thought as a method only to separable problems, the analysis and experimental tests show that it is actually very effective for solving multimodal nonseparable problems. As the univariate sampling is a complementary algorithm to the CMA-ES which has obvious advantages for solving unimodal nonseparable problems, the proposed HS-ES tries to take advantages of these two algorithms to improve its searching performance. Experimental results on CEC-2018 demonstrate the effectiveness of the proposed HS-ES.
A Novel Carrier Leakage Cancellation Circuit for RFID System

This paper proposed a novel high isolation leaking carrier cancelled system used in the UHF RFID reader. The circulator of conventional RFID system is replaced by the deformed microstrip rat-race circuit (RRC), furthermore, the leaking carrier extracted circuit is connected in the receiver. The amplitude and phase of leaking carrier varying need not be real-time tracking. Results showed that the TX-to-RX isolation improved 48~70 dB higher than other cancellation circuits. The proposed leaking carrier cancelled system cutting down the cost and improved obviously the isolation of Tx-Rx.
Efficient Load Balancing in Software Defined Networks

As Individual routing adjustment strategies usually take remarkable time to pursue load balance and network stability in Software Defined Networks (SDNs), this paper presents two different routing adjustment strategies-the Global and Partial strategies-to reduce such time consumption. Experimental evaluation has been conducted to check the performance of the three routing adjustment strategies (i.e., Individual, Global and Partial). The results exhibit our Global and Partial strategies perform more favorably because both of them can secure load balance and network stability more efficiently.
Time Switching Finite-Control-Set Model Predictive Control for Surface-Mounted Permanent Magnet Synchronous Motor

T0621. In this scheme, the nonlinear dynamic model of SPMSM is decomposed into two linear time-invariant sub-models. In this way, the nonlinear MPC problem is converted into two linear MPC problems, which can be solved efficiently. By using a time switching signal, two FCS-MPC sub-controllers are activated alternatively. Correspondingly, their optimal control actions are also applied alternatively to the 2-level voltage source inverter. This way, the original nonlinear MPC problem is handled by the time switching control between two linear sub-FCS-MPCs. Simulation results verify the effectiveness of the proposed scheme.
Monitoring and Damping UMP Due Eccentricity Fault in Induction Machines: A Review

Three-phase induction machines are reliable and widely used in industrial plants. The efficient condition monitoring can diagnose the inception of fault mechanisms in induction motors thus avoiding failure and expensive repairs. Therefore, there is a strong need to develop a more efficient condition monitoring. The main target is to achieve a relatively low cost and/or non-invasive system which is still powerful in terms of monitoring for online detection of developing faults. This digest adresses rotor eccentricity faults and study of conventional monitoring techniques for induction motor faults. In order to reduce the UMP in case of an eccentric rotor, the eccentricity-generated additional airgap flux waves should be reduced. Additional, the characteristics of UMP in induction machines are addressed. Methods to reduce the side-band flux waves and hence attenuate the UMP will be addressed.
Back to the Future: Lessons Learned From the 1918 Influenza Pandemic

2018 marks the 100-year anniversary of the 1918 influenza pandemic, which killed ~50 million people worldwide. The severity of this pandemic resulted from a complex interplay between viral, host, and societal factors. Here, we review the viral, genetic and immune factors that contributed to the severity of the 1918 pandemic and discuss the implications for modern pandemic preparedness. We address unresolved questions of why the 1918 influenza H1N1 virus was more virulent than other influenza pandemics and why some people survived the 1918 pandemic and others succumbed to the infection. While current studies suggest that viral factors such as haemagglutinin and polymerase gene segments most likely contributed to a potent, dysregulated pro-inflammatory cytokine storm in victims of the pandemic, a shift in case-fatality for the 1918 pandemic toward young adults was most likely associated with the host's immune status. Lack of pre-existing virus-specific and/or cross-reactive antibodies and cellular immunity in children and young adults likely contributed to the high attack rate and rapid spread of the 1918 H1N1 virus. In contrast, lower mortality rate in in the older (>30 years) adult population points toward the beneficial effects of pre-existing cross-reactive immunity. In addition to the role of humoral and cellular immunity, there is a growing body of evidence to suggest that individual genetic differences, especially involving single-nucleotide polymorphisms (SNPs), contribute to differences in the severity of influenza virus infections. Co-infections with bacterial pathogens, and possibly measles and malaria, co-morbidities, malnutrition or obesity are also known to affect the severity of influenza disease, and likely influenced 1918 H1N1 disease severity and outcomes. Additionally, we also discuss the new challenges, such as changing population demographics, antibiotic resistance and climate change, which we will face in the context of any future influenza virus pandemic. In the last decade there has been a dramatic increase in the number of severe influenza virus strains entering the human population from animal reservoirs (including highly pathogenic H7N9 and H5N1 viruses). An understanding of past influenza virus pandemics and the lessons that we have learnt from them has therefore never been more pertinent.
Research on Digital Hearing Aid Speech Enhancement Algorithm

The microphone array speech enhancement algorithm (MASEA), the minimum mean square error algorithm for short-time logarithmic spectrum estimation based on voice activity detection (VAD-LSA-MMSE), and the Wiener filtering algorithm based on voice activity detection (VAD-Wiener) are currently the three most commonly used speech enhancement algorithms. Among them, the MASEA algorithm has some disadvantages such as poor noise reduction effect. VAD-LSA-MMSE algorithm has some disadvantages of relying on high SNR and introducing music noise, thereby reducing the intelligibility. The VAD-Wiener algorithm has some disadvantages such as higher SNR requirements. Aiming at the shortcomings of these three speech enhancement algorithms, based on the VAD algorithm and the MASEA algorithm, this paper proposed a new speech enhancement algorithm by combining the characteristics of Wiener filtering algorithm and LSA-MMSE algorithm. The new speech enhancement algorithm is a VAD-based microphone array speech enhancement algorithm (VAD-MASEA). VAD-MASEA is better than the other three algorithms in noise reduction, speech enhancement and voice intelligibility, and has the characteristics of adapting to a lower SNR environment. This paper used MATLAB to carry out experimental research, including the new algorithm and the three existing algorithms were simulated and compared the signal waveforms of the four algorithms. Experimental results show that the proposed VAD-MASEA algorithm overcomes the high SNR requirement and can be used in low SNR environments and obtain highly intelligible enhanced signals.
A Benchmark Database and Baseline Evaluation for Fall Detection Based on Wearable Sensors for the Internet of Medical Things Platform

Falling is a common and dangerous event for the elderly population. Fall detection is an interesting scientific problem and an ill-defined process that can be solved through various methods. In this paper, various methods and detection algorithms based on wearable sensors are introduced. A benchmark database, namely, a fall detection database, is presented to evaluate the performance of detection algorithms. This database collects sample data from 26 males and 24 females performing 15 kinds of activities, including falls and activities of daily life, such as walking, running, and walking upstairs. The subjects comprise 50 males and females ranging from 21 to 60 years of age, 1.55 to 1.90 m in height, and 40 to 85 kg in weight. A full comparison between the existing databases and the proposed database is presented. Four baseline algorithms (the artificial neutral network, k nearest neighbor, support vector machine, and kernel Fisher discriminant) are used to evaluate the databases’ reliabilities. Evaluation protocols based on the fall detection database are discussed, and the performance of the four algorithms as a baseline are presented for the following objectives: 1) to elementarily assess the database through the fall detection algorithms; 2) to identify the strengths and weaknesses of the common algorithms; and 3) to obtain the evaluation results for two classes and multiple classes based on the database. In hospitals, it is helpful to build a fall detection system for some patients who are unconscious and unable to call for help after falling down. Therefore, this paper has implications for the construction of a medical IOT platform.
Evaluation of Security and Privacy of Smartphone Users

The growing use of smart phones has also given opportunity to the intruders to create malicious apps thereby the security and privacy concerns of a novice user has also grown. This research focuses on the privacy concerns of a user who unknowingly installs a malicious apps created by the programmer. In this paper we created an attack scenario and created an app capable of compromising the privacy of the users. After accepting all the permissions by the user while installing the app, the app allows us to track the live location of the Android device and continuously sends the GPS coordinates to the server. This spying app is also capable of sending the call log details of the user. This paper evaluates two leading smart phone operating systems- Android and IOS to find out the flexibility provided by the two operating systems to their programmers to create the malicious apps
A Systematic Literature Review on Military Software Defined Networks

Software Defined Networking (SDN) is an evolving network architecture paradigm that focuses on the separation of control and data planes. SDN receives increasing attention both from academia and industry, across a multitude of application domains. In this article, we examine the current state of obtained knowledge on military SDN by conducting a systematic literature review (SLR). Through this work, we seek to evaluate the current state of the art in terms of research tracks, publications, methods, trends, and most active research areas. Accordingly, we utilize these findings for consolidating the areas of past and current research on the examined application domain, and propose directions for future research.
Hybrid Fuzzy MCDM Method for Selection of Organizational Innovations in Manufacturing Companies

Continuous technological improvements have led to paradigm shift in industrial production. New concept, named Industry 4.0, is becoming more and more present in manufacturing companies. Even though advanced technologies are in the focus of Industry 4.0, there is a necessity for organizational improvements as well. Since organizational innovations represent a prerequisite for introduction of advanced technologies in manufacturing companies, there is a need to investigate which are the most appropriate in this context. Particularly, the focus of this paper is on manufacturing companies from developing country. For this purpose, data taken from European Manufacturing Survey are used. In this paper, Fuzzy Analytic Hierarchy Process (FAHP) was employed to determine the weights of criteria, while Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE) was employed to rank organizational innovations. It was found that in the context of Industry 4.0, organizational innovations related to work organization and design and training and continuing professional development of employees and management of complex systems are the most appropriate for manufacturing companies from developing country.
An Iterative Algorithm with a Tuning Parameter for Continuous Lyapunov Matrix Equations

In this paper, by introducing a tuning parameter, an explicit iterative algorithm is constructed for solving the continuous Lyapunov matrix equations associated with Itô stochastic systems. A necessary and sufficient condition is provided to guarantee the convergence of the proposed algorithm by using the Kronecker product. Moreover, some easily verifiable convergence results are developed for the proposed algorithm based on the obtained necessary and sufficient condition. In addition, a method is given for the selection of the optimal tuning parameter. Finally, an example is applied to verify the effectiveness of the presented algorithm.