On basic definition of optimal allocation of FACTS devices in power system

This paper presents the importance of FACTS elements allocation to describe the effect of FACTS devices and placement of these devices in the electric power system. Optimal allocation and control of these devices will be very important for ISO or other power market regulators. The best location, appropriate size and setting of FACTS devices are important in the deregulated electricity markets. Two types of FACTS devices are considered in this study, which are Static var compensator (SVC) and thyristor controlled series compensator (TCSC). Modeling and simulation is performed on IEEE 14 bus test system and results will be presented. The proposed research is effective and helpful in the study of voltage stability with the consideration of the FACTS elements

Dominant and Absent Types of Application of Information Technology in Medical Education and its Challenges

Background & Objective: The aim of this article was to explore the use of new information and communication technology (ICT) in medical education in Mashhad University of Medical Sciences, as a single case study. Methods: The research method was descriptive. The study population consisted of students and faculty member of Mashhad University of Medical Sciences, Iran. Stratified sampling was used to investigate information technology in academic environments. To investigate the ideal situation a random sampling method was applied. Questionnaires, observation, survey, and other methods were used to study ICT in higher education. Results: There was a significant difference, significantly higher than the mean, between ICT use and the ideal condition in some cases and lower than the mean in others (P < 0.01). In some cases the difference was not significant, which showed the moderate use of ICT. The use of ICT is mainly in areas such as Word. However, its other possibilities, like communication, are not used. Both groups had a positive attitude toward ICT and assessed their skills as moderate (P < 0.01). Conclusion: Results indicated a significant positive relationship between these three variables in both groups (P < 0.01). The ideal situation, according to teachers and students, included ICT training, online library, and improving infrastructure, particularly internet speed. They believed the main challenges to be their lack of skills, educational policy, and financial, managerial, cultural, and infrastructural issues. Keywords Information technology Medical education Challenges Desirable situatio

Methods of Convincing in Hajaj’s sermons (social-critical study)

Human life is full of convincing situations that Man is subjugated to them consciously or unconsciously, although oratory influence has been decreased now, but it was competing with poetry in old days. As Hajaj was among greatest orators and his sermons are in line with Umayyad caliphate, it is important to determine the methods applied in order to convince the addressees. This research, based on modern critical-social researches, studies the oratory elements in Hajaj’s sermons that aim at protecting Omayyad’s government in these sensitive conditions that seditions were surrounding it. These conditions demand solidity without any leniency and we can see its influence in all Hajaj sermons that have firm style characterized by affecting the reader with their simple and devoid of strange words. His style focuses on emotional and acoustic and psychological features of his addressees, and this emphasizes his dexterity in recognizing their personality at the first step, and choosing the suitable style at the second step. We can infer that his style contains many convincing features that indicate his high dexterity in recognizing his addressees according to their mentality and conditions

Investigation of Flow Field in a Typical Hypersonic Wind Tunnel over a Standard Mode

In order to start designing a new hypersonic wind tunnel, it is important to have a pre-view about physical phenomena in a typical Hypersonic Wind Tunnel (HWT). In present research, it is tried to view phenomenologically the aerodynamics of flow in a typical HWT by Computational Fluid Dynamics (CFD). The considered HWT consists of a curved nozzle in nominal Mach number 12, free-jet type test section, a test model and a convergent-divergent diffuser. Aerodynamics of flow in the nozzle exit and test section, conical shock wave system in the diffuser and flow over a standard model (HB-2) are investigated. A method is introduced for numerical simulation of capturing the free shear layer in free-jet test section based on the vorticity distribution of flow. The aerodynamics behavior of HB-2 model is investigated in various Mach numbers and flow domains. The results make a better view of some aerodynamic phenomena in a free-jet type test section of wind tunnel that are rarely considered. This research is conducted towards the project of designing and manufacturing the industrial hypersonic wind tunnel for Qadr Aerodynamic research Center

Statistical features analysis of transient current signal for broken bars fault detection in LS-PMSMs

Electrical motors constitute critical elements in certain industrial facilities and domestic fields as a prime mover. In spite of its good trait, failures in electrical motor cannot be impeded because it is mainly working in the industrial field. LS-PMSM is a high efficiency motor introduced recently in industrial field. LS-PMSM is a hybrid motor, which its rotor is combination of squirrel-cage rotor and high energy permanent magnets to have high starting torque and high efficiency together. Similar to other types of electrical motors, various faults that lead to malfunction of the motor occur in LS-PMSM during its operation. In this context, investigates diagnostic techniques for LS-PMSM with special reference to rotor faults. Since LS-PMSM has squirrel cage rotor, among different faults may happen in it, broken bar is the most important one. This paper deal with the finite element method to investigation of broken rotor bar faults on LS-PMSM with statistical feature analysis in the time domain using transient current signal

Performance analysis of line-start permanent magnet synchronous motor in presence of rotor fault

Electrical Motors are widely employed in both industrial and domestic fields. Line start-permanent magnet motor is one of the modern high efficiency motor introduced. During working of electrical motors, various faults, like stator faults, rotor faults, bearing's faults, occur that lead to malfunction of the motor. Among these faults, rotor fault, broken bar, is important in the motors with squirrel cage rotor. This paper deal with the finite element method of the electromagnetic field associated with this motor to find the performance of it with presence of rotor faults

Broken rotor bar detection in LS-PMSMs based on statistical features analysis of start-up current envelope

Early detection of asymmetry in electrical motors is important because of their diversity of use in different fields. A proper fault detection scheme helps to stop propagation of the failure or limit its escalation to severe degrees and thus prevents unscheduled downtimes that cause loss of production and financial income. Line start-permanent magnet motor (LS-PMSM) is one of the modern high efficiency motor introduced to the market recently. A new method for the fault diagnosis of a broken rotor bar in line-start permanent magnet synchronous motor is presented in this paper. The method is based on the analysis of the transient stator current envelopes of LS-PMSM using statistical features in time domain analysis. Four different level of load were investigated in this study to indicate the effect of load in broken rotor bar detection. Hilbert Transform is used to extract the envelope of the current signal during the transient reign

La participación humana con el auge de la inteligencia artificial en el ámbito de la Salud Geoespacial

In the era of Web 3, digital currencies and virtual cities, human decision-making is very special. In It´s crucial to examine human responses alongside artificial intelligence in the healthcare field following an event and to create a collaborative geographic system based on modern technology. The ultimate goal is the restoration of countries´ essential services prioritizing health. In this research, spatial questions were conducted by considering public opinion, stakeholders, and decision makers under varying mental and emotional conditions. additionally, two different statistical and ranking methods were employed to comprehend the intricacies of individuals' mental states in a mathematical environment. All these methods were executed using software designed for location-based decision making under equal conditions. This paper focuses on a specific region, as an example applicable to a country or even to a larger scale. The results showed that time factors are completely related to decision criteria. While emerging technologies are promising, complete reliance on artificial intelligence for decision-making is misguided. Human choices are intrinsic to decision-making, and therefore, all relevant criteria for spatial decision-making have been considered. This pioneering study, conducted for the first time, showed that human choices can be optimal in different situations with similar conditions. Meanwhile, artificial intelligence only makes logical decisions that are not compatible with human thinking. The ongoing research holds potential value for neurologists or mental health specialists emphasizing the significance of geographical sciences in urban development. While it´s conceivable that medical issues and events can be addressed with artificial intelligence it appears that at least for the next few decades, even with the advancement of artificial intelligence, human presence remains essential in healthcare decision-making.En el mundo de la Web 3, las monedas digitales y las ciudades virtuales, las decisiones humanas son muy especiales. De hecho, es muy importante explicar la respuesta humana y la inteligencia artificial en el campo de la salud después de un evento y crear un sistema geográfico colaborativo basado en tecnología moderna para que este proceso conduzca al restablecimiento de servicios esenciales con prioridad de salud pública en un país. En esta investigación, se realizaron preguntas espaciales de acuerdo con la opinión pública, los actores interesados y los tomadores de decisiones en diferentes condiciones mentales y emocionales. Además, se utilizaron dos métodos estadísticos y de clasificación diferentes para comprender la extrañeza de las condiciones mentales de las personas en el entorno matemático. Todos los métodos mencionados fueron realizados mediante el software diseñado para la toma de decisiones de ubicación en igualdad de condiciones. Se investigó una región como ejemplo que puede generalizarse a un país e incluso a una escala mayor. Los resultados muestran que los factores tiempo están completamente relacionados con los criterios de decisión. Usar tecnologías emergentes es genial, pero dejar que la inteligencia artificial tome decisiones es completamente incorrecto. El hombre vive de sus elecciones para tomar decisiones, por lo tanto, utiliza todos los criterios relevantes en la toma de decisiones espaciales. Este estudio pionero, muestra que los humanos pueden tomar decisiones óptimas en diferentes situaciones según las mismas condiciones. Pero la inteligencia artificial sólo toma decisiones lógicas que no son compatibles con la mentalidad humana. La continuación de esta investigación presenta un valor potencial para ser utilizada por neurólogos o especialistas en salud mental enfatizando la importancia de las ciencias geográficas en el desarrollo urbano. Quizás sea posible resolver problemas y eventos médicos con inteligencia artificial, pero pareciera que al menos durante las próximas décadas, incluso con la aparición y continuidad de la inteligencia artificial, no será posible tomar decisiones en el ámbito de la salud sin la presencia de los humanos

SignCol: Open-Source Software for Collecting Sign Language Gestures

Sign(ed) languages use gestures, such as hand or head movements, for communication. Sign language recognition is an assistive technology for individuals with hearing disability and its goal is to improve such individuals' life quality by facilitating their social involvement. Since sign languages are vastly varied in alphabets, as known as signs, a sign recognition software should be capable of handling eight different types of sign combinations, e.g. numbers, letters, words and sentences. Due to the intrinsic complexity and diversity of symbolic gestures, recognition algorithms need a comprehensive visual dataset to learn by. In this paper, we describe the design and implementation of a Microsoft Kinect-based open source software, called SignCol, for capturing and saving the gestures used in sign languages. Our work supports a multi-language database and reports the recorded items statistics. SignCol can capture and store colored(RGB) frames, depth frames, infrared frames, body index frames, coordinate mapped color-body frames, skeleton information of each frame and camera parameters simultaneously.Comment: The paper is presented at ICSESS conference but the published version by them on the IEEE Xplore is impaired and the quality of figures is inappropriate!! This is the preprint version which had appropriate format and figure