Electronics

The Increasing pace of Industrialization throughout the world has brought with It a serious, and ever Increasing threat from air pollution. It Is true that this threat Is being taken seriously, and that many responsible research workers, government advisers and others are working towards Its reduction. But air pollution seems to have something of the nature of a hydra-headed monster: tackle one problem and another immediately grows to take its place. Actions taken sometimes have results that are far from what was envisioned, sometimes even seeming to make the problem worse.

In "The Forgotten Pollution", Roos shows clearly and In an often entertaining way, how many of the "unexpected" side effects of pollution by waste gases and particles can be explained by paying attention to the electrical activity of the atmosphere and the earth.
Using an Instrument, which he has developed the Electrostatic Charged Aerosol Monitor (ECAM), together with other instruments and reference to the literature, much of it dating back to the early days of science, when electrostatics was appreciated as a science more than It Is today, Roos has succeeded In explaining many hitherto "puzzling" phenomena in a clear, simple and intellectually satisfying way.

This paper is a presentation of some recent developments in the research collaboration between China and Europe within Green Electronics. The activities have taken place in the framework of the European Union funded project “EuropeChina Cooperation in Green Electronics Production Research” (EC-GEPRO). The project developments are:
1) Health and environment impacts of nanoparticles in electronics. This seeks to generate knowledge of the risks for health and environmental impactsof nanoparticles connected to electronics production.
2) Photon capture by organic thin film solar cells. This is an initiative on assessing the life cycle environmental impact of materials in organic thin film solar cells.
3) Photo-catalytic CO2-conversion to fuel. This is research on “artificial photosynthesis” i.e. photo catalytic utilisation of CO2 to produce hydrocarbons, which subsequently can be used as fuel. The focus is on improving the lifecycle energy efficiency of the photon capture by polymers capable of catalyse the conversion of CO2 to hydrocarbons.
In this paper, the focus is on the first of the three developments.

An assignment on development of Cellular mobile communication Generations, Namely, From 0 G to 5 G. Including a briefing on GSM, EDGE, AMPS, GPRS, And all others categories related to this field. This is totally a briefing that was just created in 15 min. ;)

Cleanrooms are highly controlled environments, defined by
the air quality, and where certain physical and microbiological
requirements need to be met. Air quality is achieved through
a combination of airborne particulate control, such as through
high efficiency particulate air filters; high fresh air rates (air
movement and air changes); clean-up (or ‘recovery’) times;
pressure differentials, which concerns air direction;
temperature and humidity control (where necessary); cleaning
and disinfection; and staff behaviours and gowning. The
requirements for air quality, and the associated physical
aspects designed to achieve this, are contained within the
international standard ISO 14644.

Samsung Group is one of the biggest group of companies in the world. This is beyond intriguing to inspect the strategies and business models it used in order to become one of the largest conglomerates. More specifically, however, this is an in depth analysis about Samsung Electronics, the principal subsidiary of Samsung Group which is also the largest smartphone manufacturer in the world.

The purpose of this project is to control robot with an interface board of the Raspberry Pi, sensors and software to full fill real time requirement.
Controlling DC motors, different sensors, camera interfacing with raspberry Pi using GPIO pin.
Live streaming, Command the robot easily, sends data of different sensors which works automatically or control from anywhere at any time.
Design of the website and control page of robot is done using Java tools and HTML. This system works on IOT concept.
This will enable Raspberry Pi to be used for more robotic applications and cut down the cost for building an IOT Robot.

Circularly polarized (CP) antennas are used in space applications for telemetry tracking and command (TT&C). In this paper, we present an antenna for a TT&C system that can employ only four antennas to achieve a wide quasi-isotropic coverage. The proposed single-feed circular polarized annular patch antenna is low profile and compact. It exhibits a wide impedance bandwidth of 19.7%, wide-angle circular polarization with an on-axis maximum gain higher than 6 dBi and an axial ratio below 4 dB in the frequency band 2.0–2.3 GHz. The developed low-cost antenna can be used for small-satellite data downlink where only two right hand circular polarized (RHCP) antennas and two left hand circular polarized (LHCP) antennas would be required since each antenna has an adequate CP gain on a wide angle. A prototype antenna has been fabricated and measured. The experimental validation shows a good agreement of the measured impedance bandwidth, axial ratio, and far-field pattern with the ones predic...

Current power systems will suffer from increasing pressure as a result of an upsurge in demand and will experience an ever-growing penetration of distributed power generation, which are factors that will contribute to a higher of incidence fault current levels. Fault current limiters (FCLs) are key power electronic devices. They are able to limit the prospective fault current without completely disconnecting in cases in which a fault occurs, for instance, in a power transmission grid. This paper proposes a new type of FCL capable of fault current limiting in two steps. In this way, the FCLs’ power electronic switches experience significantly less stress and their overall performance will significantly increase. The proposed device is essentially a controllable H bridge type fault current limiter (HBFCL) that is comprised of two variable inductances, which operate to reduce current of main switch in the first stage of current limiting. In the next step, the main switch can limit the ...

Coronavirus (COVID-19) is the most prevalent coronavirus infection with respiratory symptoms such as fever, cough, dyspnea, pneumonia, and weariness being typical in the early stages. On the other hand, COVID-19 has a direct impact on the circulatory and respiratory systems as it causes a failure to some human organs or severe respiratory distress in extreme circumstances. Early diagnosis of COVID-19 is extremely important for the medical community to limit its spread. For a large number of suspected cases, manual diagnostic methods based on the analysis of chest images are insufficient. Faced with this situation, artificial intelligence (AI) techniques have shown great potential in automatic diagnostic tasks. This paper aims at proposing a fast and precise medical diagnosis support system (MDSS) that can distinguish COVID-19 precisely in chest-X-ray images. This MDSS uses a concatenation technique that aims to combine pre-trained convolutional neural networks (CNN) depend on the tr...

The foundation of machine learning is to enable computers to automatically solve certain problems. One of the main tools for achieving this goal is genetic programming (GP), which was developed from the genetic algorithm to expand its scope in machine learning. Although many studies have been conducted on GP, there are many questions about the disruption effect of the main GP breeding operators, i.e., crossover and mutation. Moreover, this method often suffers from high computational costs when implemented in some complex applications. This paper presents the meta-heuristics programming framework to create new practical machine learning tools alternative to the GP method. Furthermore, the immune system programming with local search (ISPLS) algorithm is composed from the proposed framework to enhance the classical artificial immune system algorithm with the tree data structure to deal with machine learning applications. The ISPLS method uses a set of breeding procedures over a tree s...

Advancements in machine learning and artificial intelligence have been widely utilised in the security domain, including but not limited to intrusion detection techniques. With the large training datasets of modern traffic, intelligent algorithms and powerful machine learning tools, security researchers have been able to greatly improve on the intrusion detection models and enhance their ability to detect malicious traffic more accurately. Nonetheless, the problem of detecting completely unknown security attacks is still an open area of research. The enormous number of newly developed attacks constitutes an eccentric challenge for all types of intrusion detection systems. Additionally, the lack of a standard definition of what constitutes an unknown security attack in the literature and the industry alike adds to the problem. In this paper, the researchers reviewed the studies on detecting unknown attacks over the past 10 years and found that they tended to use inconsistent definiti...

Task intensive electronic control units (ECUs) in automotive domain, equipped with multicore processors , real time operating systems (RTOSs) and various application software, should perform efficiently and time deterministically. The parallel computational capability offered by this multicore hardware can only be exploited and utilized if the ECU application software is parallelized. Having provided with such parallelized software, the real time operating system scheduler component should schedule the time critical tasks so that, all the computational cores are utilized to a greater extent and the safety critical deadlines are met. As original equipment manufacturers (OEMs) are always motivated towards adding more sophisticated features to the existing ECUs, a large number of task sets can be effectively scheduled for execution within the bounded time limits. In this paper, a hybrid scheduling algorithm has been proposed, that meticulously calculates the running slack of every task and estimates the probability of meeting deadline either being in the same partitioned queue or by migrating to another. This algorithm was run and tested using a scheduling simulator with different real time task models of periodic tasks. This algorithm was also compared with the existing static priority scheduler, which is suggested by Automotive Open Systems Architecture (AUTOSAR). The performance parameters considered here are, the % of core utilization, average response time and task deadline missing rate. It has been verified that, this proposed algorithm has considerable improvements over the existing partitioned static priority scheduler based on each performance parameter mentioned above.

The Compressed Baryonic Matter (CBM) experiment is currently  repared at the Facility for Antiproton and Ion Research (FAIR ) in Darmstadt. Its purpose is the exploration of the QCD phase diagram in
the region of high baryon densities during highenergy nucleusnucleus
collisions. CBM will utilize various particle detectors: Micro Vertex Detector (MVD), Ring Imaging Cherenkov Detector (RICH), Transition Radiation Detector (TRD), Time of Flight Detector (TOF), Projectile Spectator Detector (PSD), Silicon Tracking System (STS), Muon hamber (MUCH). In the first version of the CBM readout chain the Data Processing Boards (DPB) were important components responsible for communication between the Front End Electronics (FEE) boards, the Timing and Fast Control (TFC) system, the Experiment Control System (ECS) and the first stage of the data acquisition system First
Level Event Selector (FLES). To achieve required level of flexibility, it was necessary to implement it in a parametrized highlevel VHDL code. For even greater flexibility (e.g., for automatic generation of registers with associated IPbus address tables), it was necessary to create new solutions based on automatic generation of the VHDL, XML and Python code from the common description of the system. The system may be a good example of the flexible and parametrized control and data processing firmware. The firmware is currently used in development of readout chain for mCBM and CBM.

Nowadays, the role of cyber-physical systems (CPSs) is of paramount importance in power system security since they are more vulnerable to different cyber-attacks. Detection of cyber-attacks on a direct current microgrid (DC-MG) has become a pivotal issue due to the increasing use of them in various electrical engineering applications, from renewable power generations to the distribution of electricity and power system of public transportation and subway electric network. In this study, a novel strategy was provided to diagnose possible false data injection attacks (FDIA) in DC-MGs to enhance the cyber-security of electrical systems. Accordingly, to diagnose cyber-attacks in DC-MG and to identify the FDIA to distributed energy resource (DER) unit, a new procedure of wavelet transform (WT) and singular value decomposition (SVD) based on deep machine learning was proposed. Additionally, this paper presents a developed selective ensemble deep learning (DL) approach using the gray wolf o...

Recently, many non-conventional three-phase inverters, topologies for green energy source grid-connection systems, and electric drives have been proposed. Simplifying the inverter circuit is crucial to analyze and solve their models in order to design them. The main goal of the study is centered on obtaining a single-phase equivalent circuit and space state model from non-conventional three-phase inverters based on bidirectional direct current–direct current (DC–DC) Buck-Boost topology using isolated gate bipolar transistors (IGBT). From just one phase of the three-phase inverter, the single-phase equivalent circuit was obtained by means of Kirchhoff’s laws. The equivalent circuit operation steps were presented in order to obtain the space state model. Finally, the equivalent circuit was simulated, and experimental results with a 200 W three-phase inverter feeding a resistive, inductive, and capacitive loads were performed to confirm the theoretical and simulation analyses. The resu...

Notice board is primary thing in any institution or organization or public utility places like bus stops, railway stations or parks. But sending various notices day to day is a tedious process. This paper deals with advanced notice board. It presents an SMS based notice board incorporating microcontroller PIC18F2550. A GSM module SIM 800L is interfaced to the ports of the microcontroller PIC18F2550. When the user sends a SMS via a registered number from his mobile phone, it is received by a SIM loaded GSM modem at the receiver unit. The GSM modem is interface to the control unit to receive messages from the user. The message received is sent to the microcontroller that further displays it on electronic notice board which is equipped with a display unit interfaced to a microcontroller. It is further displayed on an electronic notice board which equipped with 7 X 5 (5 Segment Display) light emitting diodes display interfaced to the dot matrix controller which converts instructions fro...

Resumen:
El objetivo de este trabajo es percibir la noción de profesionales que se utilizó sobre el costo de conformidad tributaria en la implementación de herramientas del Gobierno Electrónico, tomando como muestra de investigación una parte del sector administrativo de una multinacional en Brasil situada en la Región Metropolitana de São Paulo. En esta perspectiva, el estudio se enfocó en comprender lo que es Gobierno Electrónico en este contexto de globalización, su aplicación y resultados en determinada empresa, buscando demostrar las expectativas de estas herramientas –como el SPED (Sistema Público de Contabilidad Digital, por sus siglas en portugués, Sistema Público de Escrituração Digital)– y, verificar también los costos  para entender los mismos. La metodología aplicada fue realizada a través de un cuestionario para toda el área fiscal ligada directamente a las obligaciones accesorias de la empresa y una parte del área contable. El resultado obtenido demuestra la  percepción que tienen estos profesionales de que el Gobierno Electrónico trajo más control, pero modificando y aumentando  su práctica y rutinas, cambios que afectaron a la empresa como un todo, desde el conocimiento de sus profesionales hasta la estructura de los sistemas internos de la empresa. Los hechos anteriores generan costos para estar de acuerdo con las exigencias tributarias, siendo necesario reconocer y controlar todo el costo empleado con el fin de evidenciar claramente la realidad de estos profesionales, empresa, gobierno y sociedad impactados en el seguimiento y aplicación de estar en conformidad.

Abstract:
The purpose of this assignment concerns in understanding the notion of practitioners on the cost of tax compliance due in the implementation of electronic government tools and a sample search a part of the administrative sector installed in São  Paulo for a multinational in Brazil. In this perspective the study was guided in understanding what is electronic government in this context of globalization, its application and consequences in a particular company, seeking to demonstrate the requirements of these tools as SPED, and also check the costs to meet the same. The applied methodology was carried out through a questionnaire to all tax area directly connected ancillary obligations of the company and a part of the accounting area. The result shows the perception of professionals Electronic Government brought more control, but modifying and enhancing their  practices and routines, changes which affected the company as a whole, from the knowledge of its professional structure of internal company systems, facts generating costs to be in accordance with tax requirements, it is necessary to recognize and track all the employee cost in order to clearly demonstrate the reality of these professionals, businesses, governments and society impacted the monitoring and implementation tax compliance.

Este artículo detalla el diseño y la instalación de un aerogenerador de 200 W para la iluminación de un inmueble que consta de cinco compartimentos. Para la implementación
se opta por re-diseñar y construir el dispositivo antecesor que incluye un sistema tri-pala cuyo estándar aeronáutico es NACA 4412, un amplificador de velocidad y una veleta. Posteriormente, se implementa todo el sistema eléctrico que está compuesto por un generador de imanes permanentes, un sistema de acondicionamiento de señal, un sistema de control y un sistema de acumulación de energía. Finalmente, se realiza
un estudio de iluminación dondese elige la luminaria apropiada y las condiciones de iluminación favorables y óptimas para el
inmueble según RETILAP.

This paper presents the design, sensing principles and in vitro evaluation of a novel instrumented sock intended for prediction and prevention of acute decompensated heart failure. The sock contains a drift-free ankle size sensor and a leg tissue elasticity sensor. Both sensors are inexpensive and developed using innovative new sensing ideas. Preliminary tests with the sensor prototypes show promising results: The ankle size sensor is capable of measuring 1 mm changes in ankle diameter and the tissue elasticity sensor can detect 0.15 MPa differences in elasticity. A low-profile instrumented sock prototype with these two sensors has been successfully fabricated and will be evaluated in the future in an IRB-approved human study.

Photovoltaic (PV) modules comprise bypass diodes to limit hotspot formation. However, they suffer from performance reduction in the presence of partial shading. This paper proposes external circuitry to control the connection type (series/parallel) of the PV cells through a pair of on/off switches resulting in three different operation modes. Mode 1 represents the typical 36 series-connected cells, while mode 2 represents two parallel-connected strings, and mode 3 maximizes the output current where the four strings are connected in parallel. The added values of the approach are that (1) the output current of the PV module can be increased without the need for a buck-boost converter and (2) the partial shading has less impact on the output power than the adoption of bypass diodes. This work shows that simulating three monocrystalline PV modules (120 W, 200 W, and 241 W), consisting of 36, 60, and 72 series-connected cells, lose about 74% when one cell has 80% shading in the absence o...

Navigating roundabouts is a complex driving scenario for both manual and autonomous vehicles. This paper proposes an approach based on the use of the Q-learning algorithm to train an autonomous vehicle agent to learn how to appropriately navigate roundabouts. The proposed learning algorithm is implemented using the CARLA simulation environment. Several simulations are performed to train the algorithm in two scenarios: navigating a roundabout with and without surrounding traffic. The results illustrate that the Q-learning-algorithm-based vehicle agent is able to learn smooth and efficient driving to perform maneuvers within roundabouts.

Satellite-based navigation is an essential part of all the technology-dependent applications, such as road transport, cell phones, the medical field, aviation or the shipping industry, etc. The performance of the navigation systems depends upon how quickly they can acquire and process the received signals for positioning solutions. However, in dense urban or indoor environments, signal acquisition can be a challenging task due to fading as a result of multipath and/or interference. This paper presents post-processing acquisition results on Global Positioning System (GPS) signals to study the relationship between data lengths used for signal acquisition and the achieved signal power using a Fast Fourier Transform (FFT)-based circular correlation method. Based on this study, the detection performance of the FFT-based method has also been analyzed by intentionally degrading the signal power levels. A new Adaptive Data length (ADL) method for acquisition has been proposed in this paper,...

The goals of this study were to develop a computer-based electronic screening tool (eScreening) and determine the feasibility of implementing eScreening for rural users of primary care. This descriptive pilot adapted existing screening measures for depression and alcohol abuse to a portable computer-based format and examined the feasibility of its adoption and use. This was a three-step design using convenience samples for (1) a focus group with providers,(2) usability testing with selected rural patients using the ...

Today, over-consumption, pollution and resource depletion threaten sustainability. Waste management policies frequently fail to reduce consumption, prevent pollution, conserve resources and foster sustainable products. However, waste policies are changing to focus on lifecycle impacts of products from the cradle to the grave by extending the responsibilities of stakeholders to post-consumer management. Product stewardship and extended producer responsibility are two policies in use, with radically different results when compared for one consumer product, refrigerators. North America has enacted product stewardship policies that fail to require producers to take physical or financial responsibility for recycling or for environmentally sound disposal, so that releases of ozone depleting substances routinely occur, which contribute to the expanding the ozone hole. Conversely, Europe's Waste Electrical and Electronic Equipment (WEEE) Directive requires extended producer responsibili...

Graphene has attracted great interest for its superior physical, chemical, mechanical, and electrical properties that enable a wide range of applications from electronics to nanoelectromechanical systems. Functionalization is among the significant vectors that drive graphene towards technological applications. While the physical properties of graphene have been at the center of attention, we still lack the knowledge framework for targeted graphene functionalization. In this critical review, we describe some of the important ...

Visually impaired has the limitation in interacting with another human. They usually use the sense of hearing and touching their face to recognize human. Face recognition is a technology that can be used to solve this problem. This paper develops a smart cane function by integrated face recognition feature on the cane using Haar-Like features and Eigenfaces. This paper proposed a portable, real time, and wearable product. Raspberry Pi supports portability that affects the delay and computing speed of face recognition algorithms. Utilization of Raspi camera on the eyes glasses is for wearable purposes. Voice output provides information on whether the face is caught on camera or not. This prototype works well during the face detection and recognition process. It needs 3 seconds for one-face recognized in range 0.25 until 1.5 meters from the camera, until the sound and information are generated. It needs is me 5 second for two faces recognized and 10 seconds for 3 faces recognized by a system in the same range between face and the camera. The accuracy reaches 91.67% for the upright position face but for other position the accuracy is only 18% until 32%.

We envision cobotic infinitely-variable transmissions (IVTs) as an enabling technology for haptics and prosthetics that will allow for increases in the dynamic range of these devices while simultaneously permitting reductions in actuator size and power requirements. Use of cobotic IVTs eliminates the need to make compromises on output flow and effort, which are inherent to choosing a fixed transmission ratio drivetrain. The result is a mechanism with enhanced dynamic range that extends continuously from a completely clutched state to a highly backdrivable state. This high dynamic range allows cobotic devices to control impedance with a high level of fidelity. In this paper, we discuss these and other motivations for using parallel cobotic transmission architecture in prosthetic devices.