Discussing the Impact of Emergency on the Justification and Justification of Suicide

It does not seem unlikely the permissibility of suicide in cases of mutual trouble -that has the more important criteria- and also where one is distressed and is suffering from a terminal disease, since the verses and traditions indicating the illegality of suicide are either unrelated to these cases and/or the subject of the reasons for emergency and the emergency rule includes these cases contrary to the majority opinion and the reason and traditions of the learned do not denounce the suicide.   Keywords Suicide; Emergency; intrude; metho

Resilient Multi-range Radar Detection System for Autonomous Vehicles: A New Statistical Method

© 2023 Crown. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY), https://creativecommons.org/licenses/by/4.0/Critical issues with current detection systems are their susceptibility to adverse weather conditions and constraint on the vertical field view of the radars limiting the ability of such systems to accurately detect the height of the targets. In this paper, a novel multi-range radar (MRR) arrangement (i.e. triple: long-range, medium-range, and short-range radars) based on the sensor fusion technique is investigated that can detect objects of different sizes in a level 2 advanced driver-assistance system. To improve the accuracy of the detection system, the resilience of the MRR approach is investigated using the Monte Carlo (MC) method for the first time. By adopting MC framework, this study shows that only a handful of fine-scaled computations are required to accurately predict statistics of the radar detection failure, compared to many expensive trials. The results presented huge computational gains for such a complex problem. The MRR approach improved the detection reliability with an increased mean detection distance (4.9% over medium range and 13% over long range radar) and reduced standard deviation over existing methods (30% over medium range and 15% over long-range radar). This will help establishing a new path toward faster and cheaper development of modern vehicle detection systems.Peer reviewe

The Quality of Philosophical Alienation and the Issue of the Afterlife Concerning the Transformation and Othering of Humanity

Alienation is one of the subjects studied in religion, philosophy, social sciences, and psychology, referring to the process in which the self of a human is transformed into something other than itself. This research addresses the comparative analysis of this concept across different findings and theories. The research question is the feasibility of constructing a common model for the quality of human alienation and the consequences of this transformation in the afterlife, based on the principles of Transcendent Theosophy, as well as explaining its relationship with the results of other schools of thought. In line with the raised issue, the research question is: Can a comprehensive model, adaptable to the theories of other schools, be established on the basis of philosophical and religious foundations in Transcendent Theosophy to understand the "becoming other" of humanity? How will the outcome and quality of this transformation reflect in the mirror of the afterlife? The keyword "becoming other" in this research refers to the result of the transformative process. The authors argue that alienation is nothing more than the transformation of the human being into another realm (the transformation of the self into the non-self). This keyword is a general concept that can encompass all existential realms, meaning that humans are potentially capable of transforming into all different existential dimensions. The research methodology to find a suitable answer in this study is a comparative and qualitative analysis, with data sourced from a digital library based on computational methods

A Novel AI-driven Hybrid Method for Flicker Estimation in Power Systems

This paper introduces a novel hybrid method using a combination of an H-infinity filter and artificial neural network (ANN) to estimate flicker components within power distribution system voltages. The H-infinity filter first extracts the estimated envelope of the applied voltage waveforms, incorporating a new voltage fluctuation model that realistically accounts for both harmonic and flicker components. Furthermore, an ADALINE (adaptive linear neuron) extracts the specific flicker components within the envelope. The hybrid process decouples prediction states, enhancing convergence behavior. Additionally, it showcases robust flicker component tracking even in the presence of power harmonics and noise, offering advantages over traditional signal processing methods. The algorithm’s performance in flicker estimation is validated through statistical analysis using Monte Carlo (MC) simulations and real world dat

Review and Analysis of Magnetic Energy Harvesters: A Case Study for Vehicular Applications

This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/Energy harvesting (EH), as an enabling technology of energy derivation from ambient sources, has attracted much research attention in wireless sensor network (WSN) context. The magnetic energy harvester (MEH) introduces ambient energy harvesters' most promising technological development. This paper presents a review and analysis of MEH applications in WSN like vehicular systems and technologies. The successful approaches are introduced and classified based on technical characteristics and working principles. The fundamentals of their operation are discussed in detail, and the power points of each method are reviewed. To select the optimal energy harvester, in this work a case study is provided for feeding navigational sensors mounted on a rotating wheel of vehicles. Finally, the performance of the developed MEH model is evaluated and discussed for harvesting energy at the rotating wheels of a ground vehicle. To offer electromagnetic field analysis of the studied MEH, the simulations are performed in Ansys Maxwell software for further harvested power evaluation.Peer reviewe

A Novel Triple Radar Arrangement for Level 2 ADAS Detection System in Autonomous Vehicles

The main functions of the automated systems rely on the advanced sensors for detection and perception of the environment around the vehicle. Radars and cameras are commonly utilized to detect the potential obstacles and vehicles ahead on the road. Nevertheless, cameras can generate spurious detections in the extreme weather conditions such as fog, rain, dust, snow, dark, and heavy sunlight in the sky. Due to limitations in vertical field view of the radars, single radars are not reliable to detect the height of the targets precisely. In this paper, a triple radar arrangement (long-range, medium-range, and short-range radars) based on sensor fusion technique is proposed to detect objects with different size in level 2 Advanced Driver-Assistance (ADAS) system. The typical objects including truck, pedestrians, and animals are detected in different scenarios. The developed model considered ISO 26262 and ISO/PAS 21448 to reasonably address insufficient robustness and inability of the sensors. The models of sensor and level 2 ADAS systems are developed using MATLAB toolbox and Simulink. Sensor detection performance is determined by running simulations with triple radar setup. Obtained results demonstrate that the proposed approach generates accurate detections of targets in all tested scenarios.</jats:p