http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : Bommu Samuyelu (검색결과 2 건)
- 무료
- 기관 내 무료
- 유료
-
Smart City IoT System Network Level Routing Analysis and Blockchain Security Based Implementation
Bommu Samuyelu,M Aravind Kumar,Babburu Kiranmai,N Srikanth,Thalluri Lakshmi Narayana,G V. Ganesh,Gopalan Anitha,Mallapati Purna Kishore,Guha Koushik,Mohammad Hayath Rajvee,S S. Kiran 대한전기학회 2023 Journal of Electrical Engineering & Technology Vol.18 No.2
This paper demonstrates, network-level performance analysis and implementation of smart city Internet of Things (IoT) system with Infrastructure as a Service (IaaS) level cloud computing architecture. The smart city IoT network topology performance is analyzed at the simulation level using the NS3 simulator by extracting most of the performance-deciding parameters. The performance-enhanced smart city topology is practically implemented in IaaS level architecture. The intended smart city IoT system can monitor the principal parameters like video surveillance with a thermal camera (to identify the virus-like COVID-19 infected people), transport, water quality, solar radiation, sound pollution, air quality (O3, NO2, CO, Particles), parking zones, iconic places, E-suggestions, PRO information over low power wide area network in 61.88 km × 61.88 km range. Primarily we have addressed the IoT network-level routing and quality of service (QoS) challenges and implementation level security challenges. The simulation level network topology analysis is performed to improve the routing and QoS. Blockchain technology-based decentralization is adopted to enrich the IoT system performance in terms of security.
-
Target Application Based Design Approach for RF MEMS Switches using Artificial Neural Networks
Lakshmi Narayana Thalluri,Samuyelu Bommu,Sathuluri Mallikharjuna Rao,K. Srinivasa Rao,Koushik Guha,S. S. Kiran 한국전기전자재료학회 2022 Transactions on Electrical and Electronic Material Vol.23 No.5
In this paper, a target application-based design approach for RF MEMS switches using artifi cial neural networks (ANN) is presented. ANN approach is used to decide the dimensions of the RF MEMS switch for the targeted application. The ANN approach design and analysis is done using MATLAB. The results obtained by ANN method are validated using the FEM tool simulation, which show that the developed models have good accuracy over the range of switch dimension values for the intended application. The switch dimensions are extracted for L, S, C, X, Ku, K, and Ka-band applications using ANN. Eventually, a novel RF MEMS switch based on the ANN approach for C-band applications is proposed. The required pullin voltage will increase because of perforation, and this problem is handled by adding extra weight to the membrane with pillars and slabs. Analyzed load distribution in membrane with perforation. FEM design is implemented using solid mechanics and electrostatic-based Multi-physics in COMSOL environment. Diff erent studies, i.e., stationary, time-dependent, and frequency domain are performed to extract electrical, mechanical, and Radio Frequency parameters of the proposed design. The switch designed for C-band applications off ering an actuation voltage of 7.4 V, Insertion loss of − 0.2 dB, and Isolationloss of − 57 dB.
연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
