In accordance with a first aspect of the present disclosure, a control system for a radio frequency (RF) communication device is provided, the system comprising: a communication controller configured to control an RF communication of the RF communication device; a detector configured to detect the presence of an external communication device and to initiate a wake-up of the communication controller in dependence on said presence; wherein the detector is configured to detect said presence by detecting a first load on an RF interface of the RF communication device, said first load resulting from a first transmitted RF pulse; and wherein the detector is configured to initiate said wake-up if a difference between the first load and a reference load is above a high threshold, and to perform a presence verification if the difference between the first load and the reference load is between a low threshold and the high threshold. In accordance with further aspects of the present disclosure, a corresponding method for controlling a radio frequency (RF) communication device is conceived, and a corresponding computer program is provided.

Control system for a radio frequency communication device

The invention discloses a coffee bean heating rate smooth and controllable and baking state automatic identification method. According to the method, a dynamic controllable smoothness adjustment mechanism is designed according to different requirements of different stages of coffee baking on the smoothness of a heating rate. In order to ensure that the baking state can be identified and updated intime, parameters of the current bean variety are obtained from a back-end server before baking, a greedy algorithm is used for a double-layer linked list structure during baking to obtain the local optimal smoothness, the global optimal smoothness is obtained, and the baking state transition point is ensured to be recorded in time. Through a machine learning feedback mechanism, the baking parameters of each bean variety at the back-end server are iteratively updated.

Coffee bean heating rate smooth and controllable and baking state automatic identification method

The invention discloses a dynamically adjusted cache data management and elimination method. According to the invention, the position of the cache item in the memory is dynamically adjusted accordingto the access time and hit frequency attribute of the cache item. The memory is divided into a hot data area and a cold data area, the cache items with high hit frequency and short access time are kept at the front part of the hot data area, and the cache items with low hit frequency and long access time are kept at the tail part of the cold data area. When the cache capacity reaches a threshold value and data needs to be eliminated, cache items at the tail part of the cold data area is directly deleted. Accurate elimination of data is realized through dynamic adjustment of the cold and hot data area, the proportion of hotspot data in cache is increased, the cache pollution problem is relieved, and the cache hit rate is increased.

Dynamically adjusted cache data management and elimination method

The invention discloses a LoRa star network low-power-consumption communication method of a self-adaptive load. When a concentrator in the LoRa star network needs to send data to the node, the maximumsending time of the strobe frequency sequence is calculated through the node communication time table, the node communication time concentrator sends the strobe frequency sequence to the node, and the strobe frequency sequence comprises node information; a node is waken up, a node finds an awakening sequence through secondary dormancy CAD interception, starts to receive the sequence after findingthe sequence, responds to a concentrator and waits for data receiving if node information is the node, starts data transmission after the concentrator receives the response, and directly enters a dormancy state if the node information in the received awakening sequence is not the node. According to the method, different interception periods are selected according to the network load through a strobe frequency sequence awakening method, strong superiority is displayed on the aspect of reducing network power consumption, the network throughput is greatly increased, and the network delay is greatly reduced.

Zhou Xuemei

Papers

Dynamically adjusted cache data management and elimination method

LoRa star network low-power-consumption communication method of self-adaptive load