MMSTA2019 TPC 賴文政博士

•

0 likes•42 views

Doctor of Management, University of Maryland (US).

賴文政博士 Technical Program Committee Member of the 2nd International Conference on Mathematics, Modeling and Simulation Technologies and Applications (MMSTA2019)

The growing significance of portable systems to limit power consumption in ultra-large-scale-integration chips of very high density, has recently led to rapid and inventive progresses in low-power design. The most effective technique is adiabatic logic circuit design in energy-efficient hardware. This paper presents two adiabatic approaches for the design of low power circuits, modified positive feedback adiabatic logic (modified PFAL) and the other is direct current diode based positive feedback adiabatic logic (DC-DB PFAL). Logic gates are the preliminary components in any digital circuit design. By improving the performance of basic gates, one can improvise the whole system performance. In this paper proposed circuit design of the low power architecture of OR/NOR, AND/NAND, and XOR/XNOR gates are presented using the said approaches and their results are analyzed for powerdissipation, delay, power-delay-product and rise time and compared with the other adiabatic techniques along with the conventional complementary metal oxide semiconductor (CMOS) designs reported in the literature. It has been found that the designs with DC-DB PFAL technique outperform with the percentage improvement of 65% for NOR gate and 7% for NAND gate and 34% for XNOR gate over the modified PFAL techniques at 10 MHz respectively.

Series of visio cisco devices Cisco_Icons.ppt

PauloRodrigues104553

More from Doctor of Management, University of Maryland (US).

賴文政博士 (ICIDA 2022)

Doctor of Management, University of Maryland (US).

賴文政博士 (ICAIA 2021)

Doctor of Management, University of Maryland (US).

賴文政博士(ITA 2022)

Doctor of Management, University of Maryland (US).

賴文政博士 (ISCMM-2021)

Doctor of Management, University of Maryland (US).

賴文政博士 (IntelliSys 2022)

Doctor of Management, University of Maryland (US).

賴文政博士 (ICCNC 2022)

Doctor of Management, University of Maryland (US).

賴文政博士 (IASC2022)

Doctor of Management, University of Maryland (US).

賴文政博士 (FTC 2022)

Doctor of Management, University of Maryland (US).

賴文政博士 (FICC 2023)

Doctor of Management, University of Maryland (US).

賴文政博士 (CIIR 2021)

Doctor of Management, University of Maryland (US).

賴文政博士 (CSTFM 2022)

Doctor of Management, University of Maryland (US).

賴文政博士 Computing Conference 2022

Doctor of Management, University of Maryland (US).

賴文政博士 (IEMIS 2022)

Doctor of Management, University of Maryland (US).

賴文政博士 (IMaRc 2021)

Doctor of Management, University of Maryland (US).

賴文政博士 (RTMCS-2021)

Doctor of Management, University of Maryland (US).

賴文政博士 (RFIT2021)

Doctor of Management, University of Maryland (US).

賴文政博士 (ISCSIC 2021)

Doctor of Management, University of Maryland (US).

賴文政博士 (CMAAE 2022)

Doctor of Management, University of Maryland (US).

賴文政博士 (ICECCME 2022)

Doctor of Management, University of Maryland (US).

賴文政博士 (ICECET 2022)

Doctor of Management, University of Maryland (US).

More from Doctor of Management, University of Maryland (US). (20)

賴文政博士 (ICIDA 2022)

賴文政博士 (ICAIA 2021)

賴文政博士(ITA 2022)

賴文政博士 (ISCMM-2021)

賴文政博士 (IntelliSys 2022)

賴文政博士 (ICCNC 2022)

賴文政博士 (IASC2022)

賴文政博士 (FTC 2022)

賴文政博士 (FICC 2023)

賴文政博士 (CIIR 2021)

賴文政博士 (CSTFM 2022)

賴文政博士 Computing Conference 2022

賴文政博士 (IEMIS 2022)

賴文政博士 (IMaRc 2021)

賴文政博士 (RTMCS-2021)

賴文政博士 (RFIT2021)

賴文政博士 (ISCSIC 2021)

賴文政博士 (CMAAE 2022)

賴文政博士 (ICECCME 2022)

賴文政博士 (ICECET 2022)

Recently uploaded

Low power architecture of logic gates using adiabatic techniques

nooriasukmaningtyas

Series of visio cisco devices Cisco_Icons.ppt

PauloRodrigues104553

Question paper of renewable energy sources

mahammadsalmanmech

spirit beverages ppt without graphics.pptx

Madan Karki

Understanding Inductive Bias in Machine Learning

SUTEJAS

This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models. The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees. By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.

Harnessing WebAssembly for Real-time Stateless Streaming Pipelines

Christina Lin

Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.

6th International Conference on Machine Learning & Applications (CMLA 2024)

ClaraZara1

Exception Handling notes in java exception

Ratnakar Mikkili

Manufacturing Process of molasses based distillery ppt.pptx

Madan Karki

RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Hori...

thanhdowork

[JPP-1] - (JEE 3.0) - Kinematics 1D - 14th May..pdf

awadeshbabu

Iron and Steel Technology Roadmap - Towards more sustainable steelmaking.pdf

RadiNasr

Swimming pool mechanical components design.pptx

yokeleetan1

CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECT

jpsjournal1

The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been referred to as the "New Great Game." This research centres on the power struggle, considering geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil politics, and conventional and nontraditional security are all explored and explained by the researcher. Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role in Central Asia. This study adheres to the empirical epistemological method and has taken care of objectivity. This study analyze primary and secondary research documents critically to elaborate role of china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade, pipeline politics, and winning states, according to this study, thanks to important instruments like the Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study, China is seeing significant success in commerce, pipeline politics, and gaining influence on other governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai Cooperation Organisation and the Belt and Road Economic Initiative.

Advanced control scheme of doubly fed induction generator for wind turbine us...

IJECEIAES

This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.

IEEE Aerospace and Electronic Systems Society as a Graduate Student Member

VICTOR MAESTRE RAMIREZ

International Conference on NLP, Artificial Intelligence, Machine Learning an...

gerogepatton

International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.

Electric vehicle and photovoltaic advanced roles in enhancing the financial p...

IJECEIAES

Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network

Modelagem de um CSTR com reação endotermica.pdf

camseq

2. Operations Strategy in a Global Environment.ppt

PuktoonEngr

Recently uploaded (20)

Low power architecture of logic gates using adiabatic techniques

Series of visio cisco devices Cisco_Icons.ppt

Question paper of renewable energy sources

spirit beverages ppt without graphics.pptx

Understanding Inductive Bias in Machine Learning

Harnessing WebAssembly for Real-time Stateless Streaming Pipelines

6th International Conference on Machine Learning & Applications (CMLA 2024)

Exception Handling notes in java exception

Manufacturing Process of molasses based distillery ppt.pptx

RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Hori...

[JPP-1] - (JEE 3.0) - Kinematics 1D - 14th May..pdf

Iron and Steel Technology Roadmap - Towards more sustainable steelmaking.pdf

Swimming pool mechanical components design.pptx

CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECT

Advanced control scheme of doubly fed induction generator for wind turbine us...

IEEE Aerospace and Electronic Systems Society as a Graduate Student Member

International Conference on NLP, Artificial Intelligence, Machine Learning an...

Electric vehicle and photovoltaic advanced roles in enhancing the financial p...

Modelagem de um CSTR com reação endotermica.pdf

2. Operations Strategy in a Global Environment.ppt

MMSTA2019 TPC 賴文政博士

Recommended

Recommended

More Related Content

More from Doctor of Management, University of Maryland (US).

More from Doctor of Management, University of Maryland (US). (20)

Recently uploaded

Recently uploaded (20)