Regional smart logistics economic development based on artificial intelligence and embedded system

Increasing the demand for smart regional logistics in terms of quality and quantity demands industrialization and strengthening economic sectors. The Internet of Things is a future technology that can provide many innovative solutions for the modernization of economic sectors. Research institutes and research groups continue to work hard to provide solutions and products to solve various financial problems using the Internet of Things. The Field-Programmable Gate Array (FPGA)-based embedded Internet of Things (IoT) system is the preferred communication source for the regional intelligent logistics labor market balancing system to balance marketability and flexibility in the economic field. In the local smart logistics market, labor can be received as a commodity. The financial sector has achieved a balance between these labor markets in various uses of the nonlogistics labor market, usually with intermediaries pushing labor to market groups and relocating it elsewhere. Workers and employers work with the labor market. Guiding regional intelligent logic economic market analysis, currency boundaries affect the low and high performance of registrations. The logistics market has established equilibrium conditions to reveal the swirling effects of currency fluctuations caused by reserves use. The balancing method in the smart logistics market shows the immediate and bypassing impact of rural sector profits on revenue performance, revenue value, and investment in use, revenue, and salary strategies. The traditional MIP structure is modified to avoid resource conflicts with Application-Specific Integrated Circuit (ASIC) components. The essential concepts for designing this type of Million Instructions per Second (MIPS) include core, and its implementation effects are analyzed. Second, ECOMIPS also seeks to create customizable and reusable structures to bridge the gap between microprocessors and ASICs.