A Fast Storage Method for Drone-Borne Passive Microwave Radiation Measurement

A drone-borne microwave radiometer requires a high sampling frequency and a continuous acquisition capability to detect and mitigate radio frequency interference (RFI), but existing methods cannot store such a large amount of data. In this paper, the dual polling write method (DPSM) for secure digital cards triggered by a timer under a multitask framework based on STM32 MCU is proposed to meet the requirements of continuous data storage. The card programming step was changed from a query waiting structure to a polling query flag bit structure, and time-sharing processing and parallel processing were used to simulate multithreading. The experimental results were as follows: (1) the time consumption of the whole storage procedure was reduced from 4000 microseconds to 200–400 microseconds; (2) the time consumption of the card programming step was reduced from 3000 microseconds in the first block and 1000 microseconds in the second and subsequent blocks to 17–174 microseconds and 18–71 microseconds, respectively, compared with the existing method; (3) the delay in the whole sampling cycle was reduced from 3942 microseconds to 0 microseconds. The results of this paper can meet the data storage requirements of a drone-borne microwave radiometer and be applied to the high-speed storage of other devices.

From Evidence to Design Solution—On How to Handle Evidence in the Design Process of Sustainable, Accessible and Health-Promoting Landscapes

The work of landscape architects can contribute to the United Nation’s Sustainable Development Goals and the associated ‘Leave no one behind’ agenda by creating accessible and health-promoting green spaces (especially goals 3, 10 and 11). To ensure that the design of green space delivers accessibility and intended health outcomes, an evidence-based design process is recommended. This is a challenge, since many landscape architects are not trained in evidence-based design, and leading scholars have called for methods that can help landscape architects work in an evidence-based manner. This paper examines the implementation of a process model for evidence-based health design in landscape architecture. The model comprises four steps: ‘evidence collection’, ‘programming’, ‘designing’, and ‘evaluation’. The paper aims to demonstrate how the programming step can be implemented in the design of a health-promoting nature trail that is to offer people with mobility disabilities improved mental, physical and social health. We demonstrate how the programming step systematizes evidence into design criteria (evidence-based goals) and design solutions (how the design criteria are to be solved in the design). The results of the study are presented as a design ‘Program’, which we hope can serve as an example for landscape architects of how evidence can be translated into design.

OPTIMALISASI BIAYA PENDISTRIBUSIAN PRODUK DENGAN METODE TRANSPORTASI

Optimal distribution product is one of important aspect in reaching target company. The fault in distribution product can cause unmaximal profit. To avoid the fault in distribution product, we need to use the right method. Transportation Method is one of method wich is useful enough to optimized the distribution product. The transportation Problem is special type of Linear Programming problem wich deals with the distribution of single product (ow or finished) from various resources to various destination of demand. In such way that the total transportation cost is minimized. The solution of transportation problem is two step process. Step 1, to find Initial Feasible Solution (IFS) Programming. Step 2, From the IFS, to find the optimal solution. The IFS may or may not be optimal. If the IFS is not optimal, then it can be improved to give a better result. This process of Testing & Improving the IFS is called Modified Distribution Method.The aim of this research is to get the optimal distribution product for minimalizing total transportation cost. The result of the research shows minimalizing total transportation cost about 5,99%