The origins of digital money and blockchain technology goes back to the 1980s, but in the last decade, the blockchain technology gained large popularity in the financial sector with the appearance of cryptocurrencies such as Bitcoin. However, recently, many other fields of application have been recognized, particularly with the development of smart contracts. Among them is the possible application of blockchain technology in the domain of land administration, mostly as a tool for transparency in the developing countries and means to fight corruption. However, developed countries also find interest in launching pilot projects to test their applicability in land administration domain for reasons such as to increase the speed and reduce costs of the real property transactions through a more secure environment. In this paper, we analyse how transactions are handled in Serbian land administration and how this process may be supported by modern ledger technologies such as blockchain. In order to analyse how blockchain could be implemented to support transactions in land information systems (LIS), it is necessary to understand cadastral processes and transactions in LIS, as well as legislative and organizational aspects of LIS. Transactions in cadastre comprise many actors and utilize both alphanumeric (descriptive or legal) data and geospatial data about property boundaries on the cadastral map. Based on the determined requirements for the blockchain-based LIS, we propose a system architecture for its implementation. Such a system keeps track of transactions in LIS in an immutable and tamper-proof manner to increase the security of the system and consequently increase the speed of transactions, efficiency, and data integrity without a significant impact on the existing laws and regulations. The system is anticipated as a permissioned public blockchain implemented on top of the Ethereum network.
Wireless Sensor Networks (WSNs) are vivid and relatively new paradigm. Usually they are built for the specific purposes which, in the case of large systems of WSNs, can result in high level of hardware heterogeneity. In this paper an ontology-based model aimed at resolving the hardware heterogeneity in large systems of WSNs, and the GLOSENT architecture that facilitates integration of heterogeneous WSNs are proposed. As a proof of concept a concrete SN device SunSPOT is represented using proposed ontology.
Purpose -The main aim of this paper is to develop a CRIS systems search profile that would enable CRIS users to perform unified and semantically rich search for the records stored in the CRIS systems. Design/methodology/approach -Prior to the search profile construction, diverse representative types of the scientific research data store systems (CRISs, digital libraries, institutional repositories, and search portals) were analyzed versus available search modes, indexes and query types. Findings -The new SRU/W standard based search profile (CRIS profile) for the purpose of searching scientific research data was proposed, that supports search for all types of data identified through an exhaustive analysis covering all major scientific and research data store systems.
The majority of studies in psychology are nowadays performed using computers. In the past, access to good quality software was limited, but in the last two decades things have changed and today we have an array of good and easily accessible open-source software to choose from. However, experiment builders are either GUI-centric or based on general-purpose programming languages which require programming skills. In this paper, we investigate an approach based on domain-specific languages which enables a text-based experiment development using domain-specific concepts, enabling practitioners with limited or no programming skills to develop psychology tests. To investigate our approach, we created PyFlies, a domain-specific language for designing experiments in psychology, which we present in this paper. The language is tailored for the domain of psychological studies. The aim is to capture the essence of the experiment design in a concise and highly readable textual form. The editor for the language is built as an extension for Visual Studio Code, one of the most popular programming editors today. From the experiment description, various targets can be automatically produced. In this version, we provide a code generator for the PsychoPy library while generators for other target platforms are planned. We discuss the language, its concepts, syntax, some current limitations, and development directions. We investigate the language using a case study of the implementation of the Eriksen flanker task.
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