Category: Engineering
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From sight to storage: Scientists crack code for how we remember
Recalling memories is a straightforward task for humans – a simple act of closing our eyes often brings a flood of moments rushing back. However, beneath this seemingly effortless experience, there exist intricate neural processess. Dartmouth College researchers have identified the complicated neurological systems that regulate how the human brain stores memories. The findings revealed…
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Japan Airlines plane engulfed in flames at Tokyo’s Haneda airport
In a harrowing incident on Tuesday, a Japan Airlines plane experienced a frightening ordeal as it touched down on a runway at Tokyo’s Haneda airport. Latest reports by NHK reveal that five people on the Japan Coast Guard plane have been killed, and the captain has been seriously injured, as per the Metropolitan Police Department.…
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Dual-band 5G MIMO antenna with enhanced coupling reduction using metamaterials
Gavrilovska, L., Rakovic, V. & Atanasovski, V. Visions towards 5G: Technical requirements and potential enablers. Wirel. Pers. Commun. 87, 731–757 (2016). Article Google Scholar Vannithamby, R. & Talwar, S. Towards 5G: Applications, Requirements and Candidate Technologies (Wiley, 2017). Google Scholar Jung, J. et al. Design of high-gain and low-mutual-coupling multiple-input–multiple-output antennas based on prs for…
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wideband high-gain low-profile series-fed antenna integrated with optimized metamaterials for 5G millimeter wave applications
Problem formulation We adopt the following notation. Design variables of the antenna under design (normally, geometry parameters) will be denoted as a vector x = [x1 … xn]T; f will denote frequency. Accordingly, S11(x,f) and G(x,f) will stand for antenna reflection coefficient and end-fire gain at design x and frequency f. There are two objectives of the…
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Experimental study on alkali reduction of film-coated porous ecological concrete by microbial calcium carbonate precipitation technology
pH value test and analysis The changes in the pH values with age for Y, GZ and PS tested by the solid–liquid extraction method and pure slurry soaking method, respectively, are shown in Fig. 6a–c. Figure 6 The pH values of the porous ecological concrete specimens covered by the same film type tested by the solid–liquid…
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Remote sensing based forest cover classification using machine learning
Background The forest ecosystem plays a vital role in preserving environmental equilibrium through pollution mitigation, flood regulation, and soil erosion prevention. The Food and Agricultural Organization recommends a forest cover of 20–30% for a country1. Pakistan has a limited forest cover, comprising 5.1 percent of the total land area, equivalent to 4.478 million hectares2. This…
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Mission-oriented determination of regional weapon maintenance demand in simulation
Maintenance demand is a basic input of a maintenance system. After determining maintenance demand, it is possible to allocate maintenance missions and dispatch maintenance resources. Therefore, the operation of the maintenance system is directly affected by the accurate determination of maintenance demand. Presently, maintenance demand is mainly determined from two approaches. In the development phase,…
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Potential diagnostic application of a novel deep learning- based approach for COVID-19
COVID-MAH-CT The COVID-MAH-CT dataset comprises chest CT scans of 133 patients who tested positive for COVID-19 and were referred to training-therapeutic hospitals in northern Iran from March 20, 2020, to March 13, 2022. The patients were selected purposefully during four different waves of the COVID-19 epidemic in Iran, which distinguishes this study from comparable studies…
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Firefly algorithm based WSN-IoT security enhancement with machine learning for intrusion detection
In this article, the authors introduced a novel and automated Firefly Algorithm with Machine Learning (FA-ML) technique for achieving accurate intrusion detection in the context of WSN-IoT (Wireless Sensor Network-Internet of Things). The FA-ML technique combines the power of the Firefly Algorithm, a nature-inspired optimization algorithm, with Machine Learning methods to create an efficient and…
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Study on micromolecular mechanical properties of C-atom reinforced SBR polymer composites
Isothermal condition Elastic modulus The most common loads in the actual work of materials are tensile load, compression load and shear load. The Dynamics module of Material Studio is used to load tensile load, compression load and shear load respectively on SBR polymer composite materials, and the load starts from 0.1 Gpa. Each increase of…