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Want to predict airflow, optimize designs, and create sustainable solutions? That’s the magic of Computational Fluid Dynamics (CFD)! Conserve Solutions here to help you -> test ideas, solve challenges, and make smarter, safer, and greener choices. Let’s design a better tomorrow, together! #CFD #Innovation #ConserveSolutions | Vengudupathy PVID | Karthikeyan Elumalai | NataRaj M

In this paper, the authors present a comparative study of #half-#duplex (#HD) access points (APs) with #dynamic #time-#division #duplex (#DTDD) and #full-#duplex (#FD) APs in #cell-#free (#CF) systems. Although both DTDD and FD CF systems support #concurrent #downlink (#DL) transmission and #uplink (#UL) reception capability, the sum #spectral #efficiency (#SE) is limited by various cross-link interferences. They first present a novel pilot allocation scheme that minimizes the pilot length required to ensure no pilot contamination among the user equipments (UEs) served by at least one common AP. Then, the authors derive the sum SE in closed form, considering zero-forcing combining and precoding along with the signal-to-interference plus noise ratio optimal weighting at the central processing unit. ---- ANUBHAB CHOWDHURY More details can be found at this link: https://lnkd.in/eQD_aSqy

One of the most important features for efficient particle based #CFD simulation is the Continuous Particle Size (CPS)-model. Performance benchmarks and speed-up tests unequivocally confirm the massive advantages of CPS, particularly in simulations with large domains where small geometrical details have to be resolved. In the simulation below, using a uniform resolution would result in the total number of particles of more than three billion. However, leveraging CPS reduces this to only 90 million particles. Essentially, you benefit from a simulation turnaround time with 90 million particles while achieving accuracy equivalent to more than three billion particles. This combines efficiency and accuracy in one package.   ➡️ Learn how water management can be investigated with virtual methods and what new applications are now possible. My colleagues Dr. Alexander Oliva and Blaž Šamec demonstrate how the best of the best do virtual water wading in their webinar on April 24th: https://lnkd.in/d36FNU_E   #simulation #sph #preonlab

In this letter, the authors propose the utilization of the hierarchical #Dirichlet #Process #Gamma #Mixture #Model (#DPGMM) to characterize THz channels statistically in the absence of any prior knowledge. DPGMM provides mixture component parameters and the required number of components. A revised #expectation-#maximization (#EM) algorithm is also proposed as a pre-step for DPGMM. #Kullback-#Leibler #Divergence (#KL-#divergence) is utilized as an error metric to examine the amount of inaccuracy of the EM algorithm and DPGMM when modeling the experimental #probability #density #functions (#PDFs). DPGMM and EM algorithm are implemented over the measurements taken at frequencies between 240 GHz and 300 GHz. By comparing the results of the DPGMM and EM algorithms for the measurement datasets, they demonstrate how well the DPGMM fits the target distribution. ---- Erhan Karakoca, Gunes Karabulut Kurt, Ali Görçin More details can be found at this link: https://lnkd.in/ea3bEMeq

Check out #AQC24 this September! The conference will bring together people from every #quantum discipline to address the challenges and opportunities provided by #AdaptiveQuantumCircuits and advance practical quantum applications. You can read more here: https://www.aqcqm.com/ Quantum Machines #QuantumComputing #QuantumResearch #QuantumControl

Read #HighlyAccessedArticle “Cognitive Digital Twins for Resilience in Production: A Conceptual Framework“ by Pavlos Eirinakis et al. See more details at: https://lnkd.in/gTv253bz #digitaltwin #simulation

Interference Cancellation: The core function of XPIC is interference cancellation. This process involves distinguishing between the desired signal and interfering signals based on their polarization characteristics. Once identified, the interfering signals can be effectively removed or canceled, leaving only the desired signal for further processing. Interference cancellation in XPIC typically involves advanced signal processing techniques, such as digital filtering and adaptive algorithms. These methods enable the receiver to extract the polarized components of the incoming signals and calculate the interference to be subtracted from the received signal.

AFsample2 enhances the structural diversity of models generated by AlphaFold-Multimer, with significant improvements in the quality of structure predictions produced for many complexes. Try it out: https://lnkd.in/gjhFgQaC

🏆FORESEE LPCAMM2 - Leading the New Era of Memory 📈Compared to SODIMM, FORESEE LPCAMM2 saves over 60% space, increases performance by 70%, and reduces power consumption by nearly 50%. Compared to onboard LPDDR, it offers better scalability and maintenance capabilities. ✔️Available in 16GB/32GB/64GB configurations ✔️Operating temperature range of 0℃~85℃ ✔️Based on LPDDR5/5x with data transfer rates up to 7500Mbps ✔️Equipped with high-speed connector contacts to reduce damage and electrostatic discharge 🙌FORESEE LPCAMM2 delivers excellent performance, making it ideal for AI terminals, commercial equipment, high-performance computing, and other fields. Learn more➡️ https://lnkd.in/gRKV3MUj #FORESEEProduct #MorethanFORESEE #FORESEE #LPCAMM2 #semiconductor #innovation #technology #memorymodule

Meet the latest generation of RICI Sunhillo’s Real-Time Interface & Conversion Item (RICI) is a versatile and modular platform designed for surveillance and sensor data formatting, filtering and conversions. The RICI 6000 is the latest iteration in the highly deployed and successful RICI product line which is used across the FAA and ANSP’s around the globe. The RICI 6000 is a form, fit and function replacement for the RICI 5000 and uses readily available components, ensuring the RICI is supportable for the foreseeable future. The updated RICI features the latest technology and increased throughput. The RICI is an ideal solution for networks requiring low-density, high-speed system interfacing to multiple serial ports with the ability to scale to future network demands. Running Sunhillo’s SureLine® software, the RICI is a compact FPGA-based signal processing platform that enables synchronous, asynchronous and Bisync serial plus LAN interconnectivity https://lnkd.in/eBT3_ddy