Mandeep Jit Singh’s research while affiliated with National University of Malaysia and other places

The concept, performance, and analyses of distinctive, miniaturized metamaterial (MTM) unit cell addressing the forthcoming Sub 6 GHz 5G applications are presented in this paper. Two circular split-ring resonators (CSRR) with two parallel rectangular copper elements in front of the design and a slotted square element in the background make up the suggested metamaterial. It has a line segment with tunable features that is positioned in the center of the little ring copper structure. The suggested design offers a significant operating frequency band of 220 MHz together with a resonance of transmission coefficient S21 at 3.5 GHz. Furthermore, in two (z & x) principal axes of wave propagation, wide-range achievement, single/double-negative (S/DNG) refractive index, negative permittivity, and near-zero permeability properties were demonstrated. Through varying central slotted-strip line length, resonance frequencies can be selectively altered. Moreover, the metamaterial has overall dimensions of 9 × 9 mm² and is composed on a Rogers 5880 RT substrate. In order to create the suggested MTM's equivalent circuit, which shows similar coefficient of transmission (S21), a proposed design’s numerical simulation is carried out in the CST micro-wave studio. This simulation is after that put to comparison with manufacturing of the design.

We suggest developing and analyzing a rotationally symmetric metamaterial absorber (MMA) in this paper for wide-angle, polarization-insensitive wireless systems. The MMA, which consists of a single-layered electric ring resonator (ERR) with a four-fold rotational symmetry form, is employed to achieve the required absorption. Between 3.5 and 15 GHz, four strong absorption peaks have been noticed. The absorption may be more excellent in the microwave spectrum at 3.5, 5.28, 7.8, and 13.82 GHz, respectively, as high as 99%, 98%, 92%, and 95%. Numerical analysis and electromagnetic responses characterize the wide-angle and polarization insensitivity to co- and cross-polar waves. The unit cell is subwavelength compact because its thickness and size are 0.02λ and 0.22λ at the lowest working frequency. With a mean of 99% absorptivity at 3.5, 5.28, 7.8, and 13.82 GHz, as well as conventional and oblique incidence up to 80° and 180°, accordingly, the absorber showed similar results for cross-polar waves. The absorber can be used for practical amateur 5G, aeronautical radio navigation services, ground-based tactical radar systems, etc.

The present study outlines the development and execution of a unique, condensed, ultrawideband microstrip patch antenna through the utilization of CST Microwave Studio software. The aforementioned antenna, with dimensions of 15 × 18.30 × 1.6 mm3, has been designed with a particular focus on its utility in the context of satellite communication applications. The substrate utilized in its construction is Rogers RT5880 material. The antenna exhibits a noteworthy characteristic of achieving a wide range of bandwidth coverage, estimated to be around 140.39%. The system exhibits versatility in fulfilling diverse communication needs as it functions through three distinct frequency bands, specifically the C, X, and Ku bands. The antenna demonstrates exceptional transmission capabilities, achieving maximum efficiency of 93%. Remarkably, the antenna demonstrates a noteworthy gain of 4.8 dBi, indicating its exceptional ability to amplify signals, despite its diminutive size. The device’s expansive frequency range, condensed physical dimensions, and noteworthy amplification render it appropriate for a diverse array of wireless implementations. Given these characteristics, the aforementioned antenna presents itself as a highly appropriate option for applications in satellite communication.

In this study, a microstrip patch antenna was designed to enable complete coverage of satellite communication. The antenna is capable of covering almost four bands, including S, C, Ka, and Q/V bands. The bandwidth achieved for these bands is relatively large, with the maximum bandwidth of 15.6 GHz achieved at the Q/V band and 11.4 GHz achieved at the Ka band. In the microwave range, the S and C bands have a bandwidth of 2.1 GHz, which is considerable. The antenna achieves a maximum gain of 9.1 dBi at the Q/V band. Moreover, the efficiency of the antenna is remarkably high, with almost 99% efficiency achieved at the Ka band and above 90% efficiency achieved for other bands. The proposed antenna also has a good radiation pattern, and it is considered a suitable contender for the satellite communication system and 5G IOT applications.

Parallel power loads anomalies are processed by a fast-density peak clustering technique that capitalizes on the hybrid strengths of Canopy and K-means algorithms all within Apache Mahout’s distributed machine-learning environment. The study taps into Apache Hadoop’s robust tools for data storage and processing, including HDFS and MapReduce, to effectively manage and analyze big data challenges. The preprocessing phase utilizes Canopy clustering to expedite the initial partitioning of data points, which are subsequently refined by K-means to enhance clustering performance. Experimental results confirm that incorporating the Canopy as an initial step markedly reduces the computational effort to process the vast quantity of parallel power load abnormalities. The Canopy clustering approach, enabled by distributed machine learning through Apache Mahout, is utilized as a preprocessing step within the K-means clustering technique. The hybrid algorithm was implemented to minimise the length of time needed to address the massive scale of the detected parallel power load abnormalities. Data vectors are generated based on the time needed, sequential and parallel candidate feature data are obtained, and the data rate is combined. After classifying the time set using the canopy with the K-means algorithm and the vector representation weighted by factors, the clustering impact is assessed using purity, precision, recall, and F value. The results showed that using canopy as a preprocessing step cut the time it proceeds to deal with the significant number of power load abnormalities found in parallel using a fast density peak dataset and the time it proceeds for the k-means algorithm to run. Additionally, tests demonstrate that combining canopy and the K-means algorithm to analyze data performs consistently and dependably on the Hadoop platform and has a clustering result that offers a scalable and effective solution for power system monitoring.

This research proposes a compact 4x4 MIMO coplanar waveguide antenna for 5G NR and Wi-Fi 6 applications. The antenna has a size of 34x32x1.6 mm and operates in the 4.2-7 GHz band. By cutting slots on the ground and radiator, the mutual coupling is reduced to less than-15 dB between adjacent and opposite elements and less than-25 dB between diagonal elements. The antenna achieves good measured gains (3-6 dBi) and efficiency (60%-80%). The proposed antenna is suitable for high-performance wireless communication systems that require a small and low-cost MIMO antenna. ABSTRAK: Kajian ini mencadangkan antena pandu gelombang yang kompak 4x4 MIMO koplanar bagi aplikasi 5G NR dan Wi-Fi6. Antena ini mempunyai saiz 34x32x1.6 mm dan beroperasi dalam kelompok gelombang 4.2-7 GHz. Dengan memotong slot pada tanah dan radiator, mutual coupling dikurangkan sebanyak-15 dB antara adjasen dan elemen bertentangan dan kurang daripada-25 dB antara elemen diagonal. Antena ini mencapai ukuran terbaik pada gain (3-6 dBi) dan kecekapan (60%-80%). Antena yang dicadangkan ini sesuai bagi sistem komunikasi tanpa wayar berprestasi tinggi yang memerlukan antena kecil dan murah seperti antena MIMO.

A cloud computing-based power optimization system (CC-POS) is an important enabler for hybrid renewable-based power systems with higher output, optimal solutions to extend battery storage life, and remotely flexible power distribution control. Recent advancements in cloud computing have begun to deliver critical insights, resulting in adaptive-based control of storage systems with improved performance. This study aims to review the recently published literature on the topic of power management systems and battery charging control. The role of intelligent based cloud computing is to improve the battery life and manage the battery state of charge (SoC). To achieve this purpose, publishers' databases and search engines were used to obtain the studies reviewed in this paper. We identify and review the purpose, achievements, tools/algorithm, and recommendations for each survey work, and thus outline a number of key findings and future directions. Furthermore, the review includes a listing of novels and recently used algorithms. Additionally, a critical review of 174 research articles were analyzed as per Web of Science (WoS) and Scopus database. The key findings of this study are discussed in two key conceptual frameworks that contain a power optimization system and an optimal battery management system. The power transmission, distribution, and charge and discharge processes are controlled and stored on cloud computing using the power mix between hybrid renewable energy and other power sources.