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In a shared spectrum environment, as is the case in the 3.5 GHz Citizens Broadband Radio Service (CBRS), the secondary users with lower priority are managed by independent spectrum access systems (SASs) in order to protect the incumbents with higher priority from interference. The interference protection is guaranteed in terms of a percentile of the aggregate interference power. The current practice requires each SAS to obtain a global snapshot of interference and use a common algorithm to manage it. We present a simplified method to permit each SAS to independently manage its users while still meeting overall aggregate interference protection requirements. The data include statistical upper bound on aggregate interference for some known distributions, which is the core idea of the proposed method. The data also include numerical results of using the proposed interference protection criterion in terms of two metrics, the total number of users moved from the channel in order to protect the incumbent (i.e., the size of the move list) and the realized aggregate interference of all co-channel users at the incumbent. The data is associated with the letter, "Independent Calculation of Move Lists for Incumbent Protection in a Multi-SAS Shared Spectrum Environment," M. R. Souryal and T. T. Nguyen, in IEEE Wireless Communication Letters, Jan. 2021.

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The global robot sorters market is experiencing robust growth, driven by increasing automation across various industries and the need for efficient material handling. The market, valued at approximately $2.5 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching an estimated market size of $8 billion by 2033. This significant expansion is fueled by several key factors. The rising adoption of programmable robot sorters, offering greater flexibility and adaptability in diverse applications, is a primary driver. Furthermore, the increasing demand for automation in e-commerce fulfillment, food processing, and recycling is significantly boosting market growth. Trends towards Industry 4.0 and the integration of advanced technologies like AI and machine learning into robot sorters are further enhancing their capabilities and expanding their applications. While high initial investment costs and the requirement for specialized technical expertise can act as restraints, the long-term benefits of increased efficiency and reduced labor costs are incentivizing widespread adoption. Segmentation analysis reveals a strong demand for programmable robot sorters across various applications, including automotive, retail, food & beverage, agriculture, packaging, and pharmaceuticals. The automotive sector leads in adoption, driven by the need for precise and high-speed sorting of parts. The retail and e-commerce sectors are also significant contributors, utilizing robot sorters for order fulfillment and efficient inventory management. Geographic distribution shows strong growth across North America and Europe, driven by early adoption and technological advancements. However, the Asia-Pacific region is poised for significant expansion due to rapid industrialization and rising disposable incomes, creating substantial growth potential in countries like China and India. The continued development of more sophisticated, affordable, and user-friendly robot sorters will further accelerate market penetration across various segments and geographies in the coming years.

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Discover the booming oyster weight sorting machine market! Learn about the 3.6% CAGR, key drivers like automation in aquaculture & food processing, and leading companies shaping this $10 million (2025) industry. Explore market trends, segmentation, and regional insights for 2025-2033.

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Pursuant to Article D. 224-15-13, II of the Environmental Code, data on vehicle fleet renewals and the proportion of low and very low emission vehicles in such renewals shall be defined and made available in accordance with the rules laid down in the benchmark annexed to the Order of 29 December 2020.

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