In the current era, autonomous vehicles and non-autonomous are transforming adopting intelligent road management techniques to communicate with so that traffic system may become more efficient. Intersection unit technique used handle control all types of vehicles. VIP enter our roads causing congestion on routes, but IM efficiently handles by using preemptive scheduling non-preemptive technique. According scenario, we Nishtar road, m4 motorway, M5 Motorway Washington road. The simulation...

Internet of Things (IoT) technology is a complementary part our style life. IoT coexists with existing cellular communication for developing 5G. Both academic researchers and industrial householders pay attention to the benefits technology. However, rapid growth networks suffers from some limitations, such as heavy traffic load, congestion,... <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">etc</i> . In this paper, parallel distributed smart...

Heusler-type Fe2AlVxTi1-x alloys offer an alternative solution for the generation of thermoelectric power near room temperature. In current research, properties p-type Fe2AlV0.9Ti0.1 and Fe2AlV0.9Ti0.1/CNT alloys, prepared by SPS, were studied. Carbon nanotubes (CNT) used as dopants to improve seebeck coefficient electrical conductivity. Upon doping with CNT, thermal conductivity was significantly reduced, meanwhile, value factor increased from 0.45 1.55 mW/mK2 at around 330 K. The effect...

Magnetic resonance imaging (MRI) combined with artificial intelligence (AI) algorithms to detect brain tumors is one of the important medical applications. In this study, a Convolutional neural network (CNN) model proposed meningioma and pituitary, which was tested dataset consisting two categories 1,800 MRI images from several persons. The CNN trained via Python library, namely TensorFlow, an automatic tuning approach obtain highest testing accuracy tumor detection. used programming...

Problem statement: The problem of testing randomness is motivated by the need to evaluate quality different random number generators used many practical applications including computer simulations, cryptography and communications industry. In particular, generated numbers affects such applications. this study we focus on one most popular approaches for randomness, Poker test. Two versions test are known: classical approximated test, where latter has been difficulties involved in implementing...

<title>Abstract</title> The full text of this preprint has been withdrawn by the authors due to author disagreement with posting preprint. Therefore, do not wish work be cited as a reference. Questions should directed corresponding author.

<title>Abstract</title> Cloud computing is a cutting-edge technology that rapidly gaining traction in the information (IT) sector. Although it has many benefits, there are also disadvantages, most notably difficulties and vulnerability security. This study describes multiple architectures for secure communication over private cloud. We developed unique custom approach incorporates steganography to provide an additional degree of security cloud data transport. Our suggested technique...

Millions many sensors will be connected to the Internet via Networks of Things (IoT), enabling new mobile cloud technologies and products. With introduction IoT, future Vehicle (IoV) replace present Auto Informal Services (Van - Driver), where customers may place orders for various services by integrating their cars, sensors, tablets a huge network. Vehicular Cloud Computing (VCC) is merely being imagined with goal supplying traffic that enhance our daily traveling in order provide Routes...

In this paper, we implement a Particle Swarm Optimization (PSO) based method for solving the kidney exchange problem. Because using exchange, can help incompatible patient-donor couples to swap donors receive compatible kidney. Implementing in problem is an effective because obtained results indicate that PSO outperforms other stochastic-based methods such as Genetic Algorithm regarding efficient number of resulting exchanges.

This paper proposes a binary kidney-inspired algorithm (KA) to tackle the job shop scheduling problem (JSSP), and its solution is essential in manufacturing, especially real industrial engineering.The computer science optimization problem, it among most significant challenging issues field of production scheduling.The proposed based on parallel method with many threads.This checked using certain benchmark problems.The findings are compared those retrieved two techniques: genetic (GA)...

Bulk products of crystalline Bi2Se3-xTex alloys (x =0.0, 0.1, 0.3, 0.5) were prepared using simple melting synthesis. Crystalline features, microstructure, and surface morphologies the synthesized samples examined via X-ray diffraction, scanning electron microscope, energy dispersive spectrometer. Elemental distribution was studied by analysis spectroscopy. Polycrystalline rhombohedral crystal structure observed for concerned samples. Perfect crystallinity micro-scalability also reflected...

In this paper, we implement a new method binary Particle Swarm Optimization (PSO) for solving the kidney exchange problem, which will improve future decisions of programs. Because using exchange, can help incompatible patient-donor couples to swap donors receive compatible kidney. Kidney paired donation programs provide an innovative approach increasing number available kidneys. Further, implementing particle swarm optimization in parallel with MATLAB one, two, three and four threads from...