answer:If you want to perform division with a 64-bit dividend and a 32-bit divisor using the provided code, you need to make a few modifications: 1. Ensure that the dividend and divisor variables are declared as 64-bit integers. 2. Change the loop initialization from `int i = 63` to `int i = 31`. 3. Modify the bitwise shift operations to handle the larger dividend appropriately. Here's the modified code snippet for a 64-bit dividend and a 32-bit divisor: ```c++ for (int i = 31; i >= 0; i--) { // Left shift the remainder by 1 and OR it with the bit at position i in the dividend remainder = (remainder << 1) | ((dividend >> (63-i)) & 1); // If the remainder is greater than or equal to the divisor, subtract the divisor from the remainder // and set the bit at position i in the quotient to 1 if (remainder >= divisor) { remainder -= divisor; quotient |= (1ULL << (63-i)); } } ``` Please note that in the modified code, the dividend is right-shifted by `(63-i)`. This ensures that the appropriate bits from the dividend are extracted during each iteration of the loop. With these modifications, you can use the code for division with a 64-bit dividend and 32-bit divisor.

answer:No, using `(dividend >> i)` as a replacement for `(dividend >> (63-i))` in the provided code would not produce the correct result for division with a 64-bit dividend and a 32-bit divisor. The reason is that `(dividend >> i)` right-shifts the entire 64-bit dividend by `i` positions, which includes the higher-order bits. In the provided code, we want to extract only the lower-order bits from the dividend to perform the division correctly. By using `(dividend >> (63-i))`, we effectively right-shift the dividend by `(63-i)` positions, which extracts the appropriate bits in each iteration. This ensures that we are considering only the relevant bits required for division. Therefore, using `(dividend >> (63-i))` is necessary to obtain the correct result when performing division with a 64-bit dividend and a 32-bit divisor.

answer:The approach that would make use of edge computing technologies is: - A device in the customer's home that detects air quality levels and sends alerts when needed. Edge computing involves processing and analyzing data on or near the device itself, rather than sending all the data to a central server for processing. In this scenario, the device in the customer's home would collect air quality data and analyze it locally, using edge computing capabilities. It would then send alerts to the customer in real-time when air quality levels require attention. This approach minimizes latency, enhances responsiveness, and reduces the dependency on cloud-based servers for data processing.

answer:The approach that would make use of edge computing technologies to optimize worker safety on the shop floor is: - Use a central unit to log workers' current safety equipment and process what equipment is needed before future jobs. Edge computing can play a role in this scenario by using sensors to collect data on workers' current safety equipment and processing that data locally on a central unit situated on the shop floor. The edge computing system can continuously monitor the safety equipment status in real-time, ensuring that workers are wearing the necessary protective gear before they can proceed with their tasks. This approach enhances safety by minimizing the risk of accidents or injuries caused by incorrect or insufficient safety equipment usage.