The IoT has become an integral part of the technological ecosystem that we all depend on. The increase in the number of IoT devices has also brought with it security concerns. Lightweight cryptography (LWC) has evolve...
详细信息
The IoT has become an integral part of the technological ecosystem that we all depend on. The increase in the number of IoT devices has also brought with it security concerns. Lightweight cryptography (LWC) has evolved to be a promising solution to improve the privacy and confidentiality aspect of IoT devices. The challenge is to choose the right algorithm from a plethora of choices. This work aims to compare three different LWC algorithms: AES-128, SPECK, and ASCON. The comparison is made by measuring various criteria such as execution time, memory utilization, latency, throughput, and security robustness of the algorithms in IoT boards with constrained computational capabilities and power. These metrics are crucial to determine the suitability and help in making informed decisions on choosing the right cryptographic algorithms to strike a balance between security and performance. Through the evaluation it is observed that SPECK exhibits better performance in resource-constrained IoT devices.
A complete smart capacitive sensor solution based on a microcontroller was developed. This approach includes the development of both the hardware and software. The hardware part comprises an 8-bit microcontroller equi...
详细信息
A complete smart capacitive sensor solution based on a microcontroller was developed. This approach includes the development of both the hardware and software. The hardware part comprises an 8-bit microcontroller equipped with two timers/counters and a three-gate stable RC relaxation oscillator. The software part handles system configuration, measurement control, communication control, and data processing. Hence, the microcontroller acts as a frequency meter with an adaptive measuring time, and the relaxation oscillator generates a square wave with a frequency depending on the value of the capacitance of the sensor. The article also proposes a calibration method that reduces the measurement range to 1 pF. The experimentally proven relative measurement errors of sensor capacitance are less than 0.012% for values smaller than 12 pF, and less than 0.0084% for values from 12 to 300 pF.
Tato bakalářské práce se zabývá osazením kvadrokoptéry ultrazvukovými senzory, jejich připojením k mikrokontroléru arduino micro a implementací ovladače pro ř...
详细信息
Tato bakalářské práce se zabývá osazením kvadrokoptéry ultrazvukovými senzory, jejich připojením k mikrokontroléru arduino micro a implementací ovladače pro řízení sonarů. Je navržena a implementována demonstrační aplikace využívající ROS framework, která v reálném čase detekuje překážky na základě výsledků měření. Při použití na kvadrokoptéře je od těchto překážek schopna udržovat minimální vzdálenost nebo snížit rychlost pohybu směrem ke překážce. Při návrhu systému byl kladen hlavní důraz hlavně na frekvenci měření instalovaných sonarů a pokrytí co největšího prostoru okolo kvadrokoptéry.
暂无评论