Autonomous Information Systems Research Articles

광역 및 기초지방자치단체의 고독사 예방에 관한 조례 비교분석: 고독사 예방법을 중심으로

This study focuses on the need for coordination between the government's Act on the Prevention and Management of Lonely Deaths and the ordinances of local governments. It distinguishes between metropolitan and local governments to examine their current status and characteristics. The study also proposes improvement suggestions for the amendment and enhancement of relevant ordinances. A total of 232 ordinances obtained from the Local Autonomous Regulations Information System of the National Law Information Center were analyzed using content analysis. The analysis framework categorized the ordinances into basic information, normative framework, and effectiveness system for comparative analysis.
 The analysis findings reveal several key insights. Firstly, in terms of basic information, the ordinance titles commonly combined terminologies related to lonely deaths, household types, and age criteria. Furthermore, the definitions of key terms related to lonely deaths in most local governments primarily focused on the end-of-life and post-end-of-life stages. Secondly, within the normative framework, the ordinances were structured to align with the provisions of the Act on the Prevention and Management of Lonely Deaths. However, many ordinances imposed limitations on the scope and requirements of policy targets, and some lacked explicit mention of residents' responsibilities or included arbitrary provisions for surveys.
 Thirdly, in the effectiveness system, support contents varied between metropolitan and local governments. While metropolitan governments emphasized preventive aspects such as early detection, local governments focused on counseling, well-being checks, technology utilization, and funeral support. Additionally, most support systems contained passive provisions, with the exception of clauses allowing financial support within budgetary limits. Notably, metropolitan governments explicitly mentioned the utilization of private resources, unlike local governments.
 Based on these analysis findings, the study proposes the following improvement suggestions for ordinances. Firstly, based on the Act on the Prevention and Management of Lonely Deaths, modifications and supplements are needed in the titles and definitions of ordinances. A comprehensive approach is required, expanding the scope of vulnerable groups susceptible to lonely deaths, considering various situational characteristics. Secondly, it is crucial to specify the support contents, delivery systems, and efforts to secure financial resources in the existing ordinances related to the prevention of lonely deaths. This will enable the integrated delivery of lonely death prevention services. To achieve this, the deployment, training, and expansion of specialized personnel, as well as the establishment of relevant centers, need to be expanded.

Publishing Eurac Research data on the GEOSS Platform

ABSTRACT This paper is the third of a series that introduces some of the main dataset resources presently shared through the GEOSS Platform. The GEOSS Platform is a brokering infrastructure that brokers more than 190 autonomous information systems and data catalogs; it was created to provide the technological tool to implement the Global Earth Observation System of Systems (GEOSS). This manuscript focuses on the analysis of Eurac Research datasets and illustrates the data publishing process to enroll the Eurac Research Data Provider to the GEOSS Platform through the administrative and technical registrations. The study provides an analysis of the GEOSS user searches for Eurac Research data in order to understand the main use of datasets of an important Data Provider.

Deep Learning Method to Detect the Road Cracks and Potholes for燬mart燙ities

The increasing global population at a rapid pace makes road traffic dense; managing such massive traffic is challenging. In developing countries like Pakistan, road traffic accidents (RTA) have the highest mortality percentage among other Asian countries. The main reasons for RTAs are road cracks and potholes. Understanding the need for an automated system for the detection of cracks and potholes, this study proposes a decision support system (DSS) for an autonomous road information system for smart city development with the use of deep learning. The proposed DSS works in layers where initially the image of roads is captured and coordinates attached to the image with the help of global positioning system (GPS), communicated to the decision layer to find about the cracks and potholes in the roads, and eventually, that information is passed to the road management information system, which gives information to drivers and the maintenance department. For the decision layer, we projected a CNN-based model for pothole crack detection (PCD). Aimed at training, a K-fold cross-validation strategy was used where the value of K was set to 10. The training of PCD was completed with a self-collected dataset consisting of 6000 images from Pakistani roads. The proposed PCD achieved 98% of precision, 97% recall, and accuracy while testing on unseen images. The results produced by our model are higher than the existing model in terms of performance and computational cost, which proves its significance.

Publishing China satellite data on the GEOSS Platform

ABSTRACT This paper is the first of a series that describes some of the main dataset resources presently shared through the GEOSS Platform. The GEOSS Platform has been created to provide the technological tool to implement the Global Earth Observation System of Systems (GEOSS); it is a brokering infrastructure that presently brokers more than 190 autonomous data catalogs and information systems. The paper analyses the China Satellite datasets and describes the data publishing process from China GEOSS Data Provider to the GEOSS Platform considering both administrative registration as well as the technical registration. The China Satellite datasets are considered as one of the most important satellite data shared by the GEOSS Platform. The analysis provides some insights as well about GEOSS user searches for China Satellite datasets.

Объектные модели как микросервисы: язык запросов

We are designing an application development technology based on an extended object-oriented approach, in which object models are enriched to the functionality of microservices. This variation is called microservice object-oriented programming. An object model as a microservice is an autonomous information system that behaves as a persistent storage and interacts with other models and external actors through the API. Moreover, understanding object models as microservices provides a fundamentally new low-code technology based on model visualization. This paper presents a query language for object models that works efficiently with persistent models. It is a subset of the Libretto language. The logical semantics of the language is described, as well as the method of compiling it into SQL, based on the use of an intermediate relational language. A SQL query language compiler has been implemented within the Ontobox platform. It shows high efficiency and is now actively used in real-life application development tasks solving.

A New Pattern Framework and Innovative Practices in the Smart Court System-of-Systems Engineering Project of China

Developing large-scale complex information systems, such as the Smart Court system-of-systems (SoSs) of China, is a worldwide engineering challenge. This paper, from a methodological perspective, aims to expound the theoretical construction and practical progress of Smart Court system-of-systems engineering (SoSE) of China. The concept and key task requirements of SoSE are explored, technical difficulties faced by the Smart Court SoSE are analyzed, and a “two-track parallel, six-ring linkage” pattern framework is proposed for the progressive collaboration SoSE of large-scale autonomous information systems. Based on the theories including a universal information model, information metric system, and dynamic configurations of information systems, a key evaluation indicator system for an information SoSs is proposed. To satisfy the SoSE design requirements, an overall design method based on information relationships and its enabling tool are proposed, and a reference model of the Smart Court SoSs is designed to provide a top-level reference for the system development and integration of the Smart Court. Moreover, the development and collaborative integration of the autonomous and backbone systems in the Smart Court SoSE are presented in a comprehensive manner. The nationwide application and promotion of the Smart Court SoSs support the upgrade and transformation of the conventional judicial operation pattern of people’s courts in China. Through continuous analyses of the quality and effectiveness of the Smart Court based on the key evaluation indicators, targeted improvement can be conducted to further enhance the SoSs capabilities, thereby contributing to the progress of judicial civilization in the information age.

Блокчейн и другие технологии в системе традиционных государственно-правовых институтов

Introduction: the technologies of blockchain, cryptocurrencies, and smart contracts in the context of philosophical and legal issues require their understanding. There is a voluminous body of literature on this subject today. However, the main leitmotif of the vast majority of publications is a simple description and further understanding of the structure of these technologies, the order of their implementation, development, and operation. The theoretical and philosophical aspects of the study of these new phenomena are not sufficiently covered. As a rule, the works simply postulate the legal nature of the technologies being studied. But at the same time, all national states have the problem of regulating these regulatory technologies themselves, which are autonomous information and telecommunications systems that do without an intermediary in the person of the state or other official authorities. The purpose of the paper is to clarify the issue of the nature of these technologies, their relationship, and mutual influence with the traditional regulatory institutes. Methods: formal-legal, systematicity, comparison, generalization, and analysis. As a result, the author emphasizes that these digital technologies, although they contain claims to a symbiotic reconciliation with the traditional institutes, are a completely new, alternative regulatory system. The basis of this system is not the legal principle of “if-then-otherwise”, which emphasizes the possibility of free action, but the principle of the physical law of “if-then”, as in the scenario language of a program code, where every event and action is invariant. The paper substantiates the conclusion that these technologies will exist in parallel with the traditional state-legal institutes, competing for the regulation of a significant part of civil law relations, as an appendix to a paper contract in terms of automating the mode of performance, and as the main contract based on the program code.

Two decades of analysis of peritonitis in peritoneal dialysis in Andalusia: Epidemiological, clinical, microbiological and progression aspects

BackgroundThis study focuses on the main complication associated with peritoneal dialysis, peritonitis. Its relevance derives from its high morbidity, the negative effect it has on the peritoneum as a dialysis membrane and its financial cost. MethodsAnalytical, non-interventional, observational cohort study, whose main objective is the analysis of peritonitis in patients on peritoneal dialysis in Andalusia from 1 January 1999 to 31 December 2017, with a total of 2904 peritonitis cases. The database used is the Andalusian Autonomous Transplant Coordination Information System (SICATA). ObjectivesTo ascertain how the rate of peritonitis is evolving in our community, analyse descriptive data pertaining to patients and peritonitis, ascertain the course of these infectious complications and analyse the factors that influence these cases of peritonitis and their outcomes: germ, hospitalisation and date. ResultsThe rate of peritonitis decreased progressively during the study period, from 0.7 peritonitis per patient in 1999 to 0.33 at the end of the period. Most infections were treated on an outpatient basis (72.5%). The most common germs were Gram-positive (55.9%), including coagulase-negative staphylococci (28.1%). Most cases of peritonitis progressed to healing (77.8%). The factors that significantly influence the need for hospitalisation and peritonitis progression were the causative germ and associated exit site infection. ConclusionsIn our population, the rate of peritonitis decreased progressively during the study period, meeting guideline recommendations.

Tourism Management System Based on GIS

Tourism is the industry with the most vitality and development potential. Today, it is the largest industry in the world. It is not only recognized by many developed countries, but also recognized as a priority industry by more and more developing countries and regions. Today, with the development of the knowledge economy, information has become the lifeblood of the tourism industry, and computerization has become an important factor in promoting overall economic development. And global society. This article mainly introduces the resources and management information of tourism service facilities based on the tourism management system GIS. In this article, we will study and discuss the application of GIS in tourism information systems, integrate the concept of autonomous tourism into the system, make the country a research field, and establish, verify and implement corresponding autonomous tourism information systems. The experimental results of this paper show that the construction of this system has improved the management level of map data in tourist destinations. The map data is continuously updated. The source of land is managed within a week, and the passenger flow in Sanhe area has increased by 15%. Sustainable development is a favorable guarantee.

Dos décadas de análisis de las peritonitis en diálisis peritoneal en Andalucía: aspectos epidemiológicos, clínicos, microbiológicos y evolutivos

BackgroundThis study focuses on the main complication associated with peritoneal dialysis, peritonitis. Its relevance derives from its high morbidity, the negative effect it has on the peritoneum as a dialysis membrane and its financial cost. MethodsAnalytical, non-interventional, observational cohort study, whose main objective is the analysis of peritonitis in patients on peritoneal dialysis in Andalusia from 1 January 1999 to 31 December 2017, with a total of 2,904 peritonitis cases. The database used is the Andalusian Autonomous Transplant Coordination Information System (SICATA). ObjectivesTo ascertain how the rate of peritonitis is evolving in our community, analyse descriptive data pertaining to patients and peritonitis, ascertain the course of these infectious complications and analyse the factors that influence these cases of peritonitis and their outcomes: germ, hospitalisation and date. ResultsThe rate of peritonitis decreased progressively during the study period, from 0.7 peritonitis per patient in 1999 to 0.33 at the end of the period. Most infections were treated on an outpatient basis (72.5%). The most common germs were Gram-positive (55.9%), including coagulase-negative staphylococci (28.1%). Most cases of peritonitis progressed to healing (77.8%). The factors that significantly influence the need for hospitalisation and peritonitis progression were the causative germ and associated exit site infection. ConclusionsIn our population, the rate of peritonitis decreased progressively during the study period, meeting guideline recommendations.

Исследование модели вероятностных автоматов для обнаружения изменения состояния ресурсов автономных измерительных систем

An algorithmic approach based on the methods of adaptive intelligent technology for monitoring the state of objects of computer systems is considered. The approach is focused on detecting changes in the state of controlled resources of autonomous information and measurement systems: communication channel, processor, memory, and battery. An adaptive model is presented using a Bayesian classifier for estimating changes in the state of resources of autonomous information and measurement systems. The model is based on a probabilistic automaton with adaptive self-tuning. The paper describes an approach that allows increasing the duration of continuous operation of the system for monitoring environmental parameters. This approach is based on adaptive correction of primary meter readings in the event of a decrease in their accuracy due to degradation failures.

Innovative Educational Technology for the Use of Modern CAD Systems for the Formation of Professional Competences of Students of Radio Engineering Specialties

The basic principles of application of innovative educational technology on the basis of modern systems of automated design for higher educational institutions for students of radio engineering specialties are considered. Methods of forming competences in students for independent use of automated design systems in simulation of complex elements of autonomous information and control systems are shown. Features of modern CAD systems such as PTC Creo Parametric and Altair FEKO are described for their opportunities in teaching process in technical university. The results of simulation and calculations obtained by students during their individual tasks are given. 3D-models of microwave devices developed by students are discussed for formation of competences in electromagnetic simulation by numerical methods in special CAD systems. Especially, aspects of relationship between capabilities of students to create 3D-models and to calculate current distribution in microwave systems are discussed.

ИНФОРМАЦИОННАЯ СИСТЕМА ЯМАЛО-НЕНЕЦКОГО АВТОНОМНОГО ОКРУГА КАК ИНСТРУМЕНТ СОЦИАЛЬНОЭКОНОМИЧЕСКОГО РАЗВИТИЯ КОРЕННЫХ МАЛОЧИСЛЕННЫХ НАРОДОВ СЕВЕРА НА СОВРЕМЕННОМ ЭТАПЕ

Introduction: protection and preservation of indigenous peoples of the North is one of the activities of public authorities in the Russian Federation. The regional governments of the Russian Federation should have relevant information on the current state and dynamics of the vital activities of the indigenous peoples of the North, which is needed for strategic and operational decision-making. The development of regional information systems will contribute to the improvement of the state decision-making process. Aims: analysis of the Yamalo-Nenets Autonomous Okrug information system with the view of determining its role in improving the management of the socioeconomic development of indigenous peoples of the North. Methods: system analysis, diachronic analysis, comparative-legal analysis. Results: in the Yamalo-Nenets Autonomous Okrug, the Unified Information System for modeling and forecasting the socio-economic development of the indigenous peoples of the North was developed and implemented. Organizationally the heads of local administrations in the municipalities within the autonomous okrug are responsible for the timely provision of the content for the system. The consolidated data of the information system make it possible to produce a comprehensive assessment of the development of the territories with traditional economic activity. Conclusion: the Yamal unified information system serves as an information tool that is used in the development and adoption of government decisions in socioeconomic sphere regarding the indigenous peoples of the North. The specificity of Yamal, information system implementation is the complex use of separate chain links in the work of municipal and regional authorities. The Yamal information system is the only source of official information about the vital activities of the indigenous people of the North, it facilitates establishing the legal status of representatives of indigenous peoples in the autonomous okrug.

AVIS Space Experiment: Testing of Technologies for the Development and Use of Multifunction Pico- and Nanosatellite Platforms

The paper briefly describes the Autonomous Video Information System (AVIS) space experiment conducted as part of the Long-Term Program of Applied Scientific Research and Experiments Planned on the Russian Segment of the International Space Station (ISS RS). The program envisages the development, production, and flight tests of a picosatellite prototype and a sequence of three nanosatellite prototypes with gradually increasing functionality. The main stages include the development of methods and instruments for controlling the separation of the spacecraft, monitoring of their state in an autonomous mode, and experimental testing of the technology of separation, rendezvous, and docking of nanosatellites in orbit. The developed onboard equipment also includes a device for launching pico- and nanosatellites from the ISS RS, manually by an astronaut and by an automatic launcher for nanosatellites from the Progress transport cargo vehicle (TCV), at the command of the ISS or a ground control station. Currently, detailed working design documentation for the spacecraft and the launching device has been created within the experimental program, and work has begun on the production of experimental prototypes.

Согласование работы автономной информационной и управляющей системы и исполнительного устройства при исключении систематических ошибок

Согласование работы автономной информационной и управляющей системы и исполнительного устройства при исключении систематических ошибок

Digital Personhood? The Status of Autonomous Software Agents in Private Law

Already today in the economy and in society, autonomous software agents, i.e. mathematically formalized information flows, are attributed social identity and ability to act under certain conditions. Due to social action attribution, they have become non-human members of society. They pose three new liability risks: (1) the autonomy risk, which has its origin in stand-alone “decisions” taken by the software agents, (2) the association risk, which is due to the close cooperation between people and software agents, and (3) the network risk that occurs when computer systems operate in close integration with other computer systems. These risks pose a challenge for private law: to define a new legal status for autonomous digital information systems—however not simply as complete legal personhood of software agents, human-computer associations or multi-agent systems respectively. Rather, in response to each of the three risks, a legal status should be granted to each of the algorithmic types that is carefully calibrated to their specific role. Three new forms of legal status for autonomous software agents are presented here: (1) actor with limited legal personhood, (2) member of a human-machine association, (3) element of a risk pool. For the risk of autonomy, an adequate response would be to recognize the software agents as legal actors with partial capability. Their autonomous choices should be legally binding, and these should, if found to be unlawful, trigger liability consequences. Software agents thereby are given a limited legal subjectivity, namely as representatives who conclude contracts for others. At the same time, they are to be recognized as legally capable persons in cases of contractual and non-contractual liability, so that the machine misbehavior itself—and not just the behavior of the underlying company—represents a breach of duty for which the company must stand. A possible answer to the association risk would be to give them legal status as a member of a human-machine association. The association itself would be recognized de lege ferenda as the legal subject of attribution for actions, rights and obligations. Finally, the answer to the network risk would be to define a risk pool, laid out autonomously according to liability law. The risk pool would define the legal status of the algorithms as part of a comprehensive digital information flow, with the liability of the pool resulting in the case of unlawful conduct of the pool.

Improving data transfer efficiency in a gas field wireless telemetry system

Effective organisation of communication channels in autonomous information and measurement systems (AIMS) is a burning issue. It is particularly challenging for areas where, for a number of reasons (primarily unprofitability or immaturity of the wired infrastructure), telecommunications can rely only on wireless technologies, i.e., radio channels. Arctic regions of the Russian Federation, where most of Russia’s gas and gas condensate deposits are located, constitute a typical example of such areas. The key challenges during construction of wireless communication channels are associated with the fixed range of frequencies that can be used without a licence. For the purposes of radio traffic, the frequency used by AIMS transmitters and receivers depends on the frequency of the quartz crystal resonators used in such devices. The stability of this frequency determines both the number of radio channels that can be used and the efficiency of data transfer. Key factors affecting the quartz frequency include temperature and “ageing” of quartz crystals. Known methods for increasing the frequency stability generally allow compensation for the temperature drift of the quartz frequency. In addition, such methods are increasingly energy-consuming, which is unacceptable in the Extreme North. This article suggests using GPS receiver data for frequency adjustment. With a minor increase in energy consumption, this technique enables full compensation for quartz crystal resonator frequency drift, no matter what the cause of such drift, eventually allowing operation of more radio channels within the authorised bandwidth with preserved channel separation. In general, it helps increase the efficiency of data transfer in the telemetry systems of gas field operations.

Selecting Informative Features of the Helicopter and Aircraft Acoustic Signals in the Adaptive Autonomous Information Systems for Recognition

Selecting Informative Features of the Helicopter and Aircraft Acoustic Signals in the Adaptive Autonomous Information Systems for Recognition

Regression Algorithms for Detection and Recognition of Non-Centered Non-Stationary Random Signals in the Short-Range Autonomous Information Systems

The article forms the rationale for using the regression algorithms to detect and recognize the non-stationary non-centered signals and noise taking into account the specifics of the short-range autonomous information systems (SRAIS) under conditions of unknown mathematical expectations of informative parameters of signals. When representing each sample realization of the non-stationary processes, subordinated to the normal law of distribution of probabilities, in discrete time, based on the approximate Kotelnikov theorem to solve the problems of signal detection and recognition on the background of band white noise were obtained the expressions for the coefficients of private plausibility of the respective hypotheses. The resulting algorithms require computation of quadratic forms and knowledge of the expectations of selected informative parameters. It is shown that taking into consideration the specific SRAIS – equality relations of mathematical expectation to the RMS values in the samples and high correlation coefficients of the parameter estimates of informative parameters – it is possible to proceed from calculating the quadratic forms in the signal processing algorithms to calculating the modules of errors of multiple initial regression representations for linear correlation. The article justifies the regression algorithms to form the areas of decision-making in which relative distances from the initial regression line are restricted, that is, the algorithms have a clear geometric meaning. Such algorithms can be applied regardless of the probability distribution of estimated random parameters of the signals (for unimodal distributions), since a priori information about the coefficients of the initial regression is obtained when investigating the correlations curves of the random parameters of the signal in the entire area of their change in linear correlation. In non-linear correlation in the SRAIS, using the information on the application conditions it is possible to make alterations of parameters of decision-making algorithms. The article investigates the performance and decision-making regression algorithm to detect the correlated two-dimensional non-centered random vectors for the normal distributions of signal and noise with different primary regression specifications. The considered regression algorithms can be applied in SRAIS to improve noise immunity when solving the tasks of detection and recognition of signals and noise.

개인정보보호를 위한 ELIS의 자치법규서식 개선방안

본 논문에서는 강원도 기초자치단체 18기관 가운데 4개 주요시에 대하여 자치법규의 개인정보 요구 실태를 파악하였다. 자치법규정보시스템(ELIS)을 활용하여 지자체의 자치법규에서 별지서식을 대상으로 전수조사를 실시하였다. 분석결과 슈퍼키인 주민등록번호를 포함하여 거부감이 있는 스마트폰 번호, 자택 전화번호 등의 개인정보 요구가 심각한 상태로 조사되었다. 개선방안으로 PIMS 준수와 개인정보 자동검색엔진의 시급한 개발을 제안하였다. In this paper, we have figured out status and demand about personal information in local laws and regulations of the four major city out of the municipality 18 institutions of Gangwon Province. To take advantage of the autonomous regulations Information System(ELIS), and research and analysis in the autonomy regulations of local governments to object to the attachment format. To object to the Attachment to the request of the resident registration number notation is a super key. There is a disclosure resistance sense of personal information, and research analysis of the smart phone number and home phone number. We have proposed the urgent development of automatic search engine of PIMS compliance with personal information.