Device-to-device (D2D) communication is expected to play a significant role in upcoming cellular networks as it promises ultra-low latency for among users. This new mode may operate licensed or unlicensed spectrum. It novel addition the traditional paradigm. Its benefits are, however, accompanied by many technical and business issues that must be resolved before integrating into ecosystem. paper discusses main characteristics of D2D including its usage scenarios, architecture, features,...

Artificial intelligence systems significantly impact the environment, particularly in natural language processing (NLP) tasks. These tasks often require extensive computational resources to train deep neural networks, including large-scale models containing billions of parameters. This study analyzes trade-offs between energy consumption and performance across three models: two pre-trained (T5-base BART-base), one large model (LLaMA 3-8B). were fine-tuned for text summarization task,...

An industry-grade proportional valve is much cheaper and rugged than a servovalve. A feedforward controller for valved system has been developed here to achieve tracking controls beyond 1 Hz that are usually attained by servovalves. For compensating the higher nonlinearities, controllers have designed offline proposing appropriate static models friction flow executing supporting experiments. These implemented with real-time PID feedback of only piston displacement. Excellent performance...

The present work aims at developing a methodology for designing swash-plate axial-piston pump whose barrel kidneys are wider than the bridges separating kidney ports on plate. Besides reducing pressure ripples and avoiding cavitation minimizing fluid-borne noise, maximization of discharge has also been considered in formulating an objective function to be minimized. A comprehensive mathematical model considering oil compressibility inertia developed implemented MATLAB/Simulink dynamic...

For many hydraulic systems, fixed-displacement axial-piston pumps often employ swash plate. The design challenge for such a pump is to minimize the pressure and flow ripples consequent noises. Although use of grooves at leading trailing sides manifolds has been adopted by several manufacturers as remedy this problem, theoretical modelling analysis effects these silencing are very limited. This study presents model that puts special emphasis on analysing effect volume variation grooves. All...

This paper examines the quality of feature set obtained from Wavelet based Energy-entropy with variation scale and wavelet type. Here motor imagery left-right hand movement classification problem has been studied. Elliptic bandpass filters are used to discard unwanted signals also extract alpha & beta rhythms. We have implemented wavelet-based energy-entropy three level decomposition in combination ten types (Daubechies). want identify best pair type for EEG classifications. verified our...

With the advent of digital publishing and online databases, volume textual data generated by scientific research has increased exponentially. This makes it increasingly difficult for academics to keep up with new breakthroughs synthesise important information their own work. Abstracts have long been a standard feature papers, providing concise summary paper's content main findings. In recent years, some journals begun provide highlights as an additional paper. The aim this article is create...

Nonlinear dynamics of a thermal pulse combustor was investigated using coupled fourth order lumped model. The effects optically thin radiation from the gases to wall are also investigated. system response changes steady combustion extinction through oscillatory as temperature is lowered. qualitative results suggest transition chaos period-doubling route prior extinction. presence confirmed by quantitative measures like correlation dimension and Lyapunov exponent. qualitatively similar in...

An in-line axial-piston swash-plate pump with pressure compensator is widely used for its fast speed of response and power economy. Although several simulation based design approaches exist to minimize issues like fluid-born noises, ample scope exists more exhaustive analysis. The most popular a variable displacement spool valve actuating the control bias cylinders has been taken up here. With an existing comprehensive flow dynamics model, updated model swiveling coupled. also includes force...

Classification of EEG signals is an important task in Brain Computer Interface (BCI) research. However, the large number attributes data regarded as a curse for classifiers. This paper aims at dimensionality reduction signals. We use rough set theory to reduce dimensions data. In particular, we discernibility matrix (DM) compute indispensable so that attribute reduced before classification. then Naive Bayes (NB) classifier, Support Vector Machine (SVM) and Extreme Learning (ELM)...

Nowadays many research articles are prefaced with highlights to summarize the main findings of paper.Highlights not only help researchers precisely and quickly identify contributions a paper, they also enhance discoverability article via search engines.We aim automatically construct given certain segments paper.We use pointer-generator network coverage mechanism contextual embedding layer at input that encodes tokens into SciBERT embeddings.We test our model on benchmark dataset, CSPubSum...

High dimensionality of feature space is a problem in supervised machine learning. Redundant or superfluous features either slow down the training process dilute quality classification. Many methods are available literature for reduction. Earlier studies explored discernibility matrix (DM) based reduct calculation Discernibility works only on discrete values. But most real-world datasets continuous nature. Use traditional approach inevitably incurs information loss due to discretization. In...