Distributed architectures with fixed-priority scheduling using Dynamic Power Management (DPM) for CPU optimization are one of the serious concerns in INTEL PXA270. Increasing the number of transistors and task mapping on chips causes greater energy dissipation and power consumption. This study addresses the issue of system-level higher CPU energy dissipation during the execution of parallel workloads with common deadlines by introducing a framework that includes task migration based on DPM and an Adaptive Deadline First scheduling (A-DF) scheme to properly schedule migratable tasks. The DPM policy and efficient task allocation and scheduling using A-DF enhance overall throughput and optimize energy consumption to avoid delays and performance degradation in multiprocessor systems. The proposed model assigns processors to the ready task set to meet deadline requirements. A full task migration policy is also integrated to ensure proper task mapping and interprocess linkage among tasks with the same deadlines. The execution of a task can pause on one CPU and reschedule execution on another to avoid delay and ensure that the deadline is met. The proposed method shifts the context of the task from running to sleep and from idle to sleep using an adaptive DPM approach. The proposed scheme showed a promising reduction in energy dissipation compared to other conventional energy-aware task migration techniques. Simulations were conducted using a super pipelined microarchitecture Intel XScale PXA270 using instruction and data cache per core of 32 Kbyte I-cache and 32 Kbyte D-cache on various utilization factors (ui) of 18% and 20%. The proposed approach consumed 6.3% less energy and achieved 2.1% and 2.4% improvements in terms of accuracy and precision when almost half of the CPU is running, and on a lower workload consumed 1.04% less energy. The proposed design provided significant improvements in clock rates of 100, 104, and 116 MHz.

This paper presents a novel, compact eight-port circular MIMO antenna system designed for millimeter-wave (mmWave) 5G communication, offering a wide impedance bandwidth and high isolation. The proposed antenna array operates over a broad measured frequency range of 25–35 GHz, achieving a 10 GHz bandwidth through a unique integration of circular and rectangular slots in the ground plane. Fabricated on a low-loss Rogers RT5880 substrate (ε_r = 2.2, thickness = 0.8 mm, tanδ = 0.0009), the design demonstrates excellent performance without requiring additional decoupling structures. The antenna achieves high isolation greater than 28 dB and a peak gain of 9.65 dB at 26 GHz and 28 GHz, enabling effective operation in high-attenuation mmWave environments. Compared to prior art, the presented system supports more antenna elements within a compact footprint while maintaining low Envelope Correlation Coefficient (ECC < 0.05) and high diversity gain, making it ideal for enhanced MIMO performance. Comprehensive analysis of S-parameters, radiation patterns, surface currents, and efficiency validates its suitability for next-generation 5G mmWave applications. The combination of compact geometry, high port count, wideband coverage, and exceptional isolation constitutes the core novelty of this work.

This paper presents a novel wideband circularly polarized (CP) cavity-backed slot antenna based on Substrate Integrated Waveguide (SIW) technology, designed for compact and high-efficiency performance. The proposed antenna utilizes a hexagonal SIW cavity to simultaneously excite two closely spaced resonant modes (TM₁₁₀ and TM₂₁₀), resulting in enhanced bandwidth for linear polarization (LP). To achieve circular polarization, a passive, single-layer linear-to-circular polarization converter is integrated above the cavity, offering a structurally simple and PCB-compatible solution. Unlike conventional CP designs that rely on complex feeding networks or multilayered structures, this configuration maintains a planar profile and efficient performance. A fabricated prototype demonstrates strong agreement between simulation and measurement, achieving a peak gain of 9.2 dBic and a 14% axial ratio (AR) bandwidth. These results highlight the antenna’s suitability for modern wireless systems requiring wideband CP functionality, including satellite communications, 5G modules, and compact embedded devices.

Prioritizing software requirements in a sustainable manner can significantly contribute to the success of a software project, adding substantial value throughout its development lifecycle. Analytic hierarchical process (AHP) is considered to yield more accurate prioritized results, but due to high pairwise comparisons, it is not considered to be scalable for prioritization of high number of requirements. To address scalability issue, a hybrid approach of minimal spanning trees (MSTs) and AHP, called as spanning tree and AHP (SAHP), is designed for prioritizing large set of functional requirements (FRs) with fewer comparisons, and thus scalability issue is solved. In this research, on‐demand open object (ODOO) enterprise resource planning (ERP) system FRs are prioritized, and the results are compared with AHP. The results of the case study proved that SAHP is more scalable that can prioritize any type of requirement with only n –1 pairs of requirements. Total FRs considered for case from ODOO were 100, where 18 spanning trees were constructed from it. With only 90 pairwise comparisons, these FRs were prioritized with more consistency compared to AHP. Total pairwise comparisons with AHP reach 4950, which is 55 times more compared with SAHP. Consistency of results is measured from average consistency index (CI) value, which was below 0.1. The consistency ratio (CR) value below 0.1 shows results are consistent and acceptable.