scholarly journals A New Construction of High Performance LDPC Matrices for Mobile Networks

Sensors ◽  
2020 ◽  
Vol 20 (8) ◽  
pp. 2300
Author(s):  
Moein Sarvaghad-Moghaddam ◽  
Waheed Ullah ◽  
Dushantha Nalin K. Jayakody ◽  
Sofiène Affes
Keyword(s):  
Information Flow ◽  
Mobile Networks ◽  
High Performance ◽  
Additive White Gaussian Noise ◽  
Iterative Algorithms ◽  
Research Problem ◽  
Optimal Method ◽  
New Methods ◽  
New Construction ◽  
Geometric Designs

Secure and reliable information flow is one of the main challenges in social IoT and mobile networks. Information flow and data integrity is still an open research problem. In this paper, we develop new methods of constructing systematic and regular Low-Density Parity-Check Matrices (LDPCM), inspired by the structure of the Sarrus method and geometric designs. Furthermore, these codes have cyclic structure and therefore, are less complex in computation and also require less memory in hardware implementation. Besides, an optimal method of post-processing for deleting girths four is presented. Numerical results show that the codes constructed by these methods perform well over the additive white Gaussian noise (AWGN) channel when decoded with the sum-product LDPC iterative algorithms. The proposed methods can be very efficient in terms of reducing memory consumption and improving the convergence speed of the decoder particularly in IoT and mobile networks.

Experimental evaluation on engineering properties and microstructure of the high-performance fiber-reinforced mortar with low polypropylene fiber content

2021 ◽  
Vol 72 (7) ◽  
pp. 824-840
Author(s):  
Hung Vu Viet ◽  
Cuong Nguyen Tuan ◽  
Duy Nguyen Huu ◽  
Tho Ngo Nguyen Ngoc ◽  
Phuoc Huynh Trong
Keyword(s):  
High Performance ◽  
Polypropylene Fiber ◽  
Cost Effective ◽  
Fiber Content ◽  
Engineering Properties ◽  
Fiber Reinforced ◽  
Cement Mortars ◽  
High Performance Fiber ◽  
New Construction ◽  
Local Materials

Recently, high-performance fiber-reinforced mortar/concrete (HPFRM) has been researched and developed in many fields such as repair, maintenance, and new construction of infrastructure works due to its high strain capacity and tight crack width characteristics. Optimizing the design of mixture proportions and structures using HPFRM is still a complex mechanical and physical process, depending on the design principles, specific site conditions, and their local materials. This study aims to develop an HPFRM with low polypropylene fiber content by using locally available ingredients in Southern Vietnam to address the deficiencies commonly observed in traditional cement grout mortars. Three mixture proportions were prepared with different water-to-binder (w/b) ratios of 0.2, 0.25, and 0.3. Then, the performance of HPFRM was evaluated in both fresh and hardened stages. Additionally, the microstructural characteristics of each mix design were also assessed through scanning electron microscope observation. The experimental results showed that the optimum w/b of 0.25 and a fixed dosage of 0.6% polypropylene fiber produced positive impacts on the rheological, mechanical properties, and also ductility of the high-performance mortar. It was concluded that HPFRMs are promising for cost-effective and sustainable cement mortars.

scholarly journals Crafting Efficient Neural Graph of Large Entropy

2019 ◽  
Author(s):  
Minjing Dong ◽  
Hanting Chen ◽  
Yunhe Wang ◽  
Chang Xu
Keyword(s):  
Information Flow ◽  
Network Architecture ◽  
High Performance ◽  
Global Information ◽  
High Quality ◽  
Network Pruning ◽  
Initial Network ◽  
Trade Offs ◽  
Graph Properties ◽  
Deep Cnn

Network pruning is widely applied to deep CNN models due to their heavy computation costs and achieves high performance by keeping important weights while removing the redundancy. Pruning redundant weights directly may hurt global information flow, which suggests that an efficient sparse network should take graph properties into account. Thus, instead of paying more attention to preserving important weight, we focus on the pruned architecture itself. We propose to use graph entropy as the measurement, which shows useful properties to craft high-quality neural graphs and enables us to propose efficient algorithm to construct them as the initial network architecture. Our algorithm can be easily implemented and deployed to different popular CNN models and achieve better trade-offs.

The Impact of MCAST Apprentices on Insurance Companies Operating in Malta - A Manager’s Perspective

2021 ◽  
Vol 5 (1) ◽  
pp. 127-153
Author(s):  
Joseph Schembri
Keyword(s):  
High Performance ◽  
Insurance Industry ◽  
Learning Experience ◽  
Cost Effective ◽  
Research Problem ◽  
Insurance Companies ◽  
Skilled Workers ◽  
Structured Interviews ◽  
Insurance Firms ◽  
The Impact

This study probes the MCAST insurance apprenticeship scheme and the impact of apprentices on the local insurance companies, acting as sponsors. This study is of particular relevance since the local insurance firms are experiencing growth but have the challenge of employee turnover and skills shortage. This research study investigates the work-based learning experience of students, the mentoring of apprentices and the supervising procedures adopted by MCAST and the insurance firms. The purpose is to analyse the impact of MCAST trainees on local insurance firms and depict practical recommendations to ameliorate the learning experience of the apprentices. The recommendations emanating from this study, assist MCAST to develop high-performance apprenticeship schemes and assist the local insurance industry, in the recruiting and training of young employees. This qualitative research gathers data through nine in-depth, semi-structured interviews and adopts the Grounded Theory Methodology to address the research problem and attain the stated objectives. The researcher adopts the constructivist approach incorporating an inductive and abductive stance. The findings emanating from the data illustrate the need to promote the insurance industry as a provider of stable and fulfilling careers with the possibility of job mobility. MCAST and the insurance firms need to enhance their collaboration to promote the insurance apprenticeship, among young learners, even at secondary level. An overhaul of the mentoring and supervising approach is needed to provide a work-based learning experience of excellence to MCAST apprentices. MCAST apprenticeship is considered by the insurance executives as the best training opportunity to recruit skilled workers and create networks. The scheme is cost effective to the firms and is considered as a long-term investment in human resources. A well-planned strategy to enhance collaboration and share knowledge between the leading VET provider of the Maltese Islands and the insurance industry is required for the benefit of the apprentices who are the future employees of the local insurance firms.

Fast Data Processing for Large-Scale SOA and Event-Based Systems

2015 ◽  
Vol 5 (4) ◽  
pp. 54-77
Author(s):  
Marcel Tilly ◽  
Stephan Reiff-Marganiec
Keyword(s):  
Data Processing ◽  
Information Flow ◽  
Mobile Networks ◽  
Large Scale ◽  
New Concepts ◽  
Combining Data ◽  
Access To Data ◽  
Processing Techniques ◽  
Event Based ◽  
The Internet Of Things

The deluge of intelligent objects that are providing continuous access to data and services on one hand and the demand of developers and consumers to handle these data on the other hand require us to think about new communication paradigms and middleware. In hyper-scale systems, such as in the Internet of Things, large scale sensor networks or even mobile networks, one emerging requirement is to process, procure, and provide information with almost zero latency. This work is introducing new concepts for a middleware to enable fast communication by limiting information flow with filtering concepts using policy obligations and combining data processing techniques adopted from complex event processing.

scholarly journals Novel 500-GHz Band Waveguide Stepped Septum-Type Circular Polarizer with a New High-Accuracy and Very Small Waveguide Flange

2020 ◽  
Author(s):  
Yutaka Hasegawa ◽  
Hiroyuki Maezawa ◽  
Hideo Ogawa
Keyword(s):  
High Performance ◽  
High Accuracy ◽  
Circular Polarizer ◽  
New Methods ◽  
Position Errors ◽  
Surface Flatness ◽  
Atmospheric Observations ◽  
Dimensional Errors ◽  
Determination Mechanism ◽  
Better Than

Abstract A new waveguide stepped septum-type circular polarizer (SST-CP) was developed to operate in the 500-GHz band for radio astronomical and planetary atmospheric observations. In a previous study, we developed a practical SST-CP for the 230-GHz band. However, several issues prevent this device being easily scaled down to the 500-GHz band, such as manufacturing dimensional errors and waveguide flange position errors. In this study, we developed a new waveguide flange with a high-accuracy position determination mechanism and a very small size of 10 × 10 mm. We also developed a new fabrication technique to obtain very good flatness for the device’s blank materials by high-accuracy polishing using a resin fixture. Using these new methods, the manufactured 500-GHz band SST-CP achieved a cross-polarization talk level of better than – 30 dB at 465–505 GHz, a device surface flatness of within 3 μm, and also the horizontal positioning error of ± 3 μm. These results indicate that the developed 500-GHz band SST-CP has high performance in the high-frequency band, and thus the new manufacturing methods are effective in the 500-GHz band.

scholarly journals New variational principles for locating periodic orbits of differential equations

2011 ◽  
Vol 369 (1944) ◽  
pp. 2211-2218 ◽  
Author(s):  
Bruce M. Boghosian ◽  
Luis M. Fazendeiro ◽  
Jonas Lätt ◽  
Hui Tang ◽  
Peter V. Coveney
Keyword(s):  
Periodic Orbits ◽  
Variational Principles ◽  
Stokes Equations ◽  
Iterative Algorithms ◽  
Navier Stokes ◽  
Unstable Periodic Orbits ◽  
Navier Stokes Equations ◽  
New Methods ◽  
Discrete Representations

We present new methods for the determination of periodic orbits of general dynamical systems. Iterative algorithms for finding solutions by these methods, for both the exact continuum case, and for approximate discrete representations suitable for numerical implementation, are discussed. Finally, we describe our approach to the computation of unstable periodic orbits of the driven Navier–Stokes equations, simulated using the lattice Boltzmann equation.

scholarly journals DEVELOPMENT OF A DIRECT METHOD OF ANALYZING TRANEXAMIC ACID LEVELS IN WHITENING CREAM USING REVERSED PHASE HIGH-PERFORMANCE LIQUID CHROMATOGRAPHY

2020 ◽  
pp. 88-92
Author(s):  
BAITHA PALANGGATAN MAGGADANI ◽  
JIHAN YASMINA ◽  
HARMITA HARMITA
Keyword(s):  
High Performance Liquid Chromatography ◽  
Liquid Chromatography ◽  
Tranexamic Acid ◽  
Analytical Method ◽  
High Performance ◽  
Limit Of Detection ◽  
Direct Method ◽  
Pharmaceutical Products ◽  
Optimal Method ◽  
Limit Of Quantitation

Objective: Whitening cream is a cosmetic that contains ingredients that can alleviate hyperpigmentation. Tranexamic acid (TA) is one of the potentialanti-pigmentation agents that work through inhibiting plasmin. TA is used in cosmetic formulations at a concentration of 2.5% as a whitening andmoisturizing agent. To date, research on TA in both cosmetics and other pharmaceutical products using high-performance liquid chromatography(HPLC) has not been done directly (without derivatization). Therefore, this study aimed to develop a simple and rapid analytical method for TA(without derivatization) in cosmetic cream samples using reverse-phase HPLC and water as a solvent.Methods: Optimization was conducted by evaluating several parameters that affect sample extraction, as well as composition and mobile phasetypes. The optimal method must fulfill suitability and validation requirements. The optimal method should be able to detect and quantify TA in creamsamples without derivatization.Results: The optimal analysis condition used a ultraviolet detector at a wavelength of 210 nm, acetonitrile: double-distilled water: phosphoric acid(64:34:2) as the mobile phase and a flow rate of 0.8 mL/min. The retention time of the analyte occurred in the 2nd min.Conclusion: The analytical method that met the validation requirements was characterized using parameters such as accuracy, precision, linearity,selectivity, limit, of detection, and limit of quantitation. This method is applicable for analyzing TA content in samples with a concentration of 1.02%.

scholarly journals A Construction of High Performance Quasicyclic LDPC Codes: A Combinatoric Design Approach

2019 ◽  
Vol 2019 ◽  
pp. 1-10 ◽  
Author(s):  
Muhammad Asif ◽  
Wuyang Zhou ◽  
Muhammad Ajmal ◽  
Zain ul Abiden Akhtar ◽  
Nauman Ali Khan
Keyword(s):  
Iterative Decoding ◽  
High Performance ◽  
Linear Complexity ◽  
Signal To Noise Ratio ◽  
Additive White Gaussian Noise ◽  
Ldpc Codes ◽  
Combinatorial Designs ◽  
Parity Check ◽  
Excellent Performance ◽  
Moderate Length

This correspondence presents a construction of quasicyclic (QC) low-density parity-check (LDPC) codes based on a special type of combinatorial designs known as block disjoint difference families (BDDFs). The proposed construction of QC-LDPC codes gives parity-check matrices with column weight three and Tanner graphs having a girth lower-bounded by 6. The proposed QC-LDPC codes provide an excellent performance with iterative decoding over an additive white Gaussian-noise (AWGN) channel. Performance analysis shows that the proposed short and moderate length QC-LDPC codes perform as well as their competitors in the lower signal-to-noise ratio (SNR) region but outperform in the higher SNR region. Also, the codes constructed are quasicyclic in nature, so the encoding can be done with simple shift-register circuits with linear complexity.

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