A Study on Advancing Strategy of Seismic Tremors Solution For Busan using Open API

Background/Objectives: Among the earthquake damage analysis systems developed so far, no system that could even respond from the perspective of managers in the event of a disaster. Methods/Statistical analysis: It was intended to ensure the convenience of managers by adding additional functions to the type of seismic damage analysis system. The existing system predicted and calculated the damage caused by the earthquake. In this paper, we present a way to help respond quickly after an earthquake by using Open API, etc. It includes functions that are already being implemented, as well as those that are being researched and developed. Findings: The existing seismic damage analysis system mostly calculates building damage caused by earthquakes, evaluates the amount of damage based on those figures, and produces figures related to refugees. But when an actual earthquake occurs, there is not much that managers can do right away with the system. This paper presents a strategic improvement plan by adding four additional functions to overcome the shortcomings of the existing system. This improvement plan is based on 3D Geographic Information System (GIS) and was intended to add Earthquake Excellence History, Vulnerable Groups Concentrated Area Information, Standard Operating Procedures, and Real-Time Evaluation Route. Earthquake Accuracy History function allows an intuitive decision on past similar records to be made. Vulnerable Groups Concentrated Area Information function helps you make quick judgments about the situation in the region where you need help first and foremost. Standard Operating Procedures are built into the system so that non-skilled people can easily perform it. Real-Time Evacuation Route feature allows administrators to have a quick insight into the path of refugees. Improvements/Applications: The improvement plan with additional functions in the system for calculating the output related to damage can be further improved through further implementation.

The development of open banking based on the implementation of open API technologies

The implementation of open API into the work of financial organizations allowed optimizing the processes of obtaining and exchanging the internal and external data. Increasing the value of services rendered is possible due to a number of technological solutions, including open API technology. The relevance of covering the topic of open banking based on implementation of the technology of open programming interfaces is substantiated by the growing impact of using API in the process of rendering services by financial institutions. The object of research in this paper is It is an open API and its development in the Russian and foreign markets. The subject of this research is the methods of regulation, development and integration open programming interfaces in the financial markets. For comprehensive analysis of the articulated problem, the author reviews the classification of the open API, key trends in the development and application of open banking, foreign and domestic experience in its regulation and implementation. The scientific novelty of this article lies in systematization and generalization of data on the use of open interfaces in the era of digital economy on the level of financial (banking) institutions, as well as in description of the current trends in development and implementation of open API. The conclusion is drawn that banks are being actively introduced to open banking society, therefore increasing the transparency and availability of the practice-oriented data; as well as provide more information on the particular examples of implementation of open interfaces and full potential of their use.

Hard Numbers: Open Consumer Price Database

We document a new source of consumer price microdata. The new database allows researchers studying consumer price behaviour to access current and granular raw statistical observations. The range of observed prices fully covers goods and services of the Rosstat’s CPI sample and extends beyond it. In this paper, we pursue two objectives. First, we describe the data collection mechanism, data structure, and their access protocols, as well provide four complete illustrations of their application using open API: i) training machine models of product classification based on text labels, ii) real-time tracking of product prices, iii) estimating hedonic regressions for product groups, and iv) calculating arbitrary analytical price indices. Second, we share a set of basic skills and technologies for the benefit of researchers interested in creating their own sources of alternative data.

Evolvement of ICT in Airline Distribution – Perspectives on Co-creation with IATA NDC and One Order

The IATA distribution standard NDC and the fulfilment standard One Order could help airlines to facilitate co-creation in the airline industry. This paper sheds light on the pitfalls and hurdles that accompany this process making it an interesting learning case of technology disruption and technology adaption for all industries. Even though an open API structure is urgently needed to realize distributed and decentralized co-creation, a main challenge remains the need to organize the cutover from older systems to the next generation.

Digital technologies in the financial market of Kazakhstan

The article reveals the processes of digitalization of the financial market of Kazakhstan. The authors examined innovative services and new digital financial instruments that determine the development of remote connection mechanisms for bank customers and other market participants. The analysis of the existing architecture of the financial market is carried out and the role of fintech companies in its development is determined. The authors highlighted the key fintech companies of Kazakhstan using fintech solutions in one form or another. The article describes the positive experience of Bank CenterCredit JSC in implementing the Open API financial platform. The content of the innovative customer-oriented product Credit API is disclosed. The authors consider it promising to use the Payment API service in the infrastructure of the domestic market, which provides new opportunities for customers when making remote payments. As new market participants, business structures using P2P platforms are considered. The P2P platforms allow the investor to lend to a private person or business in a remote format through a special website. The article outlines the problem of developing financial inclusion and innovative forms of improving financial literacy based on communication digital resources. The authors presented a vision of the digital financial infrastructure of Kazakhstan. The collaboration scheme is built through the interaction of five key areas of development of digital financial blocks, the integration of which is carried out through the Open API and Smart Brigde. The article substantiates the need for high-tech interaction between the regulator and market participants using the full electronic document management format and creating a digital financial market regulator.

HyOASAM: A Hybrid Open API Selection Approach for Mashup Development

At present, Mashup development has attracted much attention in the field of software engineering. It is the focus of this article to use existing open APIs to meet the needs of Mashup developers. Therefore, how to select the most appropriate open API for a specific user requirement is a crucial problem to be solved. We propose a Hybrid Open API Selection Approach for Mashup development (HyOASAM), which consists of two basic approaches: one is a user-story-driven open API discovery approach, and the other is multidimensional-information-matrix- (MIM-) based open API recommendation approach. The open API discovery approach introduces user stories in agile development to capture Mashup requirements. First, it extracts three components from user stories, and then, it extracts three corresponding properties from open API descriptions. Next, the similarity calculation is performed on two sets of data. The open API recommendation approach first uses MIM to store open APIs, Mashups, and the invoking relationship between them. Second, it enters the matrix obtained in the previous step into a factorization machine model to calculate the association scores between the Mashups and the open APIs, and TOP-N open API lists for creating the Mashup are obtained. Finally, experimental comparison and analysis are carried out on the PWeb dataset. The experimental results show that our approach has improved significantly.