Rajasthan Technical University

About: Rajasthan Technical University is a education organization based out in Kota, Rajasthan, India. It is known for research contribution in the topics: Photovoltaic system & PID controller. The organization has 716 authors who have published 1084 publications receiving 4530 citations. The organization is also known as: RTU.

HYBRID GREY WOLF OPTIMIZATION-PATTERN SEARCH (hGWO-PS) OPTIMIZED 2DOF-PID CONTROLLERS FOR LOAD FREQUENCY CONTROL (LFC) IN INTERCONNECTED THERMAL POWER PLANTS

Abstract: The combination of Grey Wolf Optimization and Pattern Search Technique (hGWO-PS) has been introduced to optimize the parameters of two Degree of Freedom Proportional-Integral-Derivative Controller (2DOF-PID) for controlling the load frequency in Automatic Generation Control (AGC) for interconnected power system. The interconnected two area power system of non-reheat thermal power plants consisting of 2DOF-PID controller in each area has been considered for design and analysis. Firstly, the proposed approach has been implemented in the aforementioned standard test system and thereafter, the robustness of the system consisting 2DOF-PID controller optimized by proposed technique has been estimated using the sensitivity analysis for the same. The robustness of the system consisting of 2DOF-PID controller optimized by proposed scheme is examined by varying the parameters of standard test system, loading conditions during operation, size and location of the disturbances. The performance of the 2DOF-PID controller optimized by proposed approach has also been compared with recently published approaches in the literature. The simulation results show that the proposed hGWO-PS optimized 2DOF-PID controller shows far better performance than recently published approaches in the literature in terms of dynamic response. The simulation results also show that system performances hardly change when the operating load condition and system parameters are changed by ±50% from their nominal values, i.e. the proposed controllers are quite robust for a wide range of the system parameters and operating load conditions from their nominal values.

Review on Inertia Weight Strategies for Particle Swarm Optimization

Abstract: In the category of swarm intelligence based algorithms, Particle Swarm Optimization (PSO) is an effective population-based metaheuristic used to solve complex optimization problems. In PSO, global optima is searched with the help of individuals. For the efficient search process, individuals have to explore whole search space as well as have to exploit the identified search area. Researchers are continuously working to balance these two contradictory properties i.e. exploration and exploitation and have been modified the PSO in many different ways to improve its solution search capability in the search space. In this regard, incorporation of inertia weight strategy in PSO is a significant modification and after that many researchers have been developed different inertia weight strategies to improve the solution search capability of PSO. This paper presents an analysis of the developed inertia weight strategies in respect to problem-solving capability and their effect in the solution search process of PSO. The effect of 30 recent inertia weight strategies on PSO is measured while comparing over ten well known test functions of having different degree of complexity and modularity.

Dynamic Trust Based Access Control Framework for Securing Multi-Cloud Environment

Abstract: Cloud Computing are used to deliver services from share pool of computing resources. These resources are provided to the user using the internet. It has advantage over traditional computing services along with new challenge. These are data security, privacy, protection, access control, availability, authentication, scalability, lock-in and confidentiality. These are inherent security flaws of cloud technology due to openness, multi-tenancy, outsourcing of resources. Access control is a fundamental security mechanism but traditional access control like as mandatory, discretionary and role based access control are not suitable. These traditional existing access control model are not effective and feasible solutions for cloud. In this research work, novel access control framework is proposed that can address the security and privacy issues for cloud. The framework is based on dynamic trustworthiness of user and provides an effective and feasible access control solution for cloud. A multi layer security standard, policies and access control mechanism are provided with proposed framework. The access control is based on the trustworthiness of the user, which is demonstrated by static and dynamic trust evidence. The dynamic trustworthiness is used to reduce the possibility to perform unauthorized activities and ensures that only authorized user's access cloud resources. The prototype of the proposed framework is developed in NetLogo on Linux platform and demonstrated with test cases. The analysis of simulated results shows that proposed mechanism is highly efficient and robust under existing security threats.

Machine Learning Techniques and Challenges in Wireless Sensor Networks

Abstract: Deployment of wireless sensor networks usually found in science and designing applications, in military applications for intrusion detection and in civil applications. WSNs designing may be application specific and poses numerous concerns and restrictions. Energy aware routing, great concerning region of WSNs for analyser. As sensor nodes have limited power, information transmission, packet latency and data redundancy become essential concerns of routing algorithm for prolong lifetime of network. This review discusses various WSNs challenges with the system based on machine learning. And different solutions presented by the different authors. At last the future work emphasis on mobile sink location and dynamic clustering for improved energy efficient routing.

Design, Characterization, and Optimization of a Multilayer U-type Hexaferrite-Based Broadband Microwave Absorber

Abstract: Design and development of broadband thin multilayer microwave-absorbing materials (MAMs) are described in this paper. Design and analysis of single-, two-, three-, and four-layered MAM are covered in detail. CoCr-based U-type hexaferrite MAMs Ba4(Co1-3 x Cr x )2 Fe36O60 for various values of x ( x = 0.05, 0.1, 0.2, and 0.25) have been used as base materials. Thickness and material layers have been optimized using genetic algorithm (GA). Reflection loss ( RL ) of −50 dB has been obtained using single-layered MAM at 2.21 mm thickness with effective bandwidth of 1.5 GHz. RL value has been optimized in two-, three-, and four-layered MAM and RL of −80.94 dB has been obtained using four-layered MAM at 1.801 mm thickness with effective bandwidth of 3.948 GHz. MAMs have been applied on an artillery shell and using electromagnetic (EM) simulation software radar cross-section (RCS) reduction simulation has been carried out for single- and multilayered MAM. RCS reduction of 9.14 dB has been obtained using single-layered MAM and a reduction of 19.86 dB has been obtained for four-layered MAM at 10 GHz. RCS reduction simulations have been carried out in entire X band and a maximum RCS reduction of 29.76 dB has been obtained at 9.5 GHz at 0° aspect angle.