Digital System Data Research Articles

Transform paper-based cadastral data into digital systems using GIS and end-to-end deep learning techniques

Digital systems storing cadastral data in vector format are considered effective due to their ability of offering interactive services to citizens and other land-related systems. The adoption of such systems is ubiquitous, but when adopted, they create two non-compatible systems with paper-based cadastral systems whose information needs to be digitised. This study proposes a new approach that is fast and accurate for transforming paper-based cadastral data into digital systems. The proposed method involves deep-learning techniques of the LCNN and ResNet-50 for detecting cadastral parcels and their numbers, respectively, from the cadastral plans. It also contains four functions defined to speed up transformations and compilations of the cadastral plan’s data in digital systems. The LCNN is trained and validated with 968 samples. The ResNet-50 is trained and validated with 106,000 samples. The Structural-Average-Precision () achieved with the LCNN was 0.9057. The Precision, Recall and F1-Score achieved with the ResNet-50 were 0.9650, 0.9648 and 0.9649, respectively. These results confirmed that the new method is accurate enough for implementation, and we tested it with a huge set of data from Tanzania. Its performance from the experimented data shows that the proposed method could effectively transform paper-based cadastral data into digital systems.

Representing and Expressing Measurement Data in Digital Systems

Representing and Expressing Measurement Data in Digital Systems

Digital transformation of public health systems: strengthening to take rights seriously

Abstract The expansion of digital public health, with the use of data in digital systems for planning and operation of public health policy, presents itself as strategic for the public and digital future of Public Health Systems, such as Brazilian Sistema Único de Saúde/SUS, as well as for the effectiveness of the right to healthcare and expansion of the access to public health services (with the experience of COVID-19 highlighting the importance of digital health, as well as fostering its accelerated expansion). Such digital expansion will increasingly stress the fundamental right to the protection of personal data, and it is therefore important to strengthen the regulatory and care response of SUS in the field of digital public health, both for the preservation of its regulatory capacity in digital public health (facing market private interests of Big Tech for example), but also to guarantee the protection of fundamental rights, such as the protection of personal data. The theory of fundamental rights and the dogmatics on personal data protection offer support to solve the tensions to the right to data protection arising from the expansion of digital health, with consideration between the rights of patients-data subjects and the needs of managing and planning public health policy Key messages • The intense use of data and digital systems in public health policy is strategic to strengthen public health systems. • The enhancement of Public Health Systems’ regulatory capacity in digital transformation is important to protect right to health and data protection.

BERKOM: The first broadband isdn exchange and transmission system in Berlin

BERKOM: The first broadband isdn exchange and transmission system in Berlin

A Programmable Logic State Analyser

The need for the convenient testing and ease of debugging data in digital systems for system evaluation and operation understanding has led to the emergence of a class of instruments known as Logic State Analysers. This paper is about the design and construction of such a logic state analyser in the laboratory. The analyser has actually been constructed in the laboratory. It has the capability of storing 8-bit data for 8 consecutive time intervals at the speed of the system under observation. Two modes enable one to store data either after a certain word has occurred at the input or at a particular clock time instant after initialization. Display of the data is then achieved at system speed in conventional 1–0 format on any cathode ray oscilloscope for quick translation of displayed information into the popular binary symbols. This promises a great reduction of testing time.