Model Of Smart System Research Articles

Hybrid of Smart System Model to Support the Service of Fertility Doctors in Handling In-Vitro Fertilization Patient Complaints

The majority of In-Vitro Fertilization (IVF) patients immediately call a fertility doctor when they experience different symptoms than usual. However, the high workload makes fertility doctors unable to immediately provide recommendations to handle complaints of IVF patients, while the longer wait for recommendations from fertility doctors will increase the anxiety of IVF patients and high levels of anxiety affect the success rate of IVF programs. The Case-Based Reasoning (CBR) model has lower performance than the modified CBR model, and the CBR model adds to the workload of fertility doctors, namely having to handle the revision stage. To overcome these problems, the CBR model was modified by applying the Chris Case-Based Reasoning (CCBR) similarity formula and combining it with the Rule-Based Reasoning model. The results of performance measurements showed that the accuracy score increased to 47\% and the precision score remained 100\%, so the results of this modification of the CBR model are worthy of being recommended for application to a smart system for handling complaints of IVF patients.

A Hybrid Threat Model for Smart Systems

Cyber-physical systems and their smart components have a pervasive presence in all our daily activities. Unfortunately, identifying the potential threats and issues in these systems and selecting enough protection is challenging given that such environments combine human, physical and cyber aspects to the system design and implementation. Current threat models and analysis do not take into consideration all three aspects of the analyzed system, how they can introduce new vulnerabilities or protection measures to each other. In this work, we introduce a novel threat model for cyber-physical systems that combines the cyber, physical, and human aspects. Our model represents the system's components relations and security properties by taking into consideration these three aspects. Together with the threat model we also propose a threat analysis method that allows understanding the security state of the system's components. The threat model and the threat analysis have been implemented into an automatic tool, called TAMELESS, that automatically analyzes threats to the system, verifies its security properties, and generates a graphical representation, useful for security architects to identify the proper prevention/mitigation solutions. We show and prove the use of our threat model and analysis with three cases studies from different sectors.

Development of Innovative Operational Flexibility Measurement Model for Smart Systems in Industry 4.0 Paradigm

The exponential growth of cutting-edge technologies continuously pushing the manufacturing industry into the paradigm of smart manufacturing. Smart manufacturing provides the pace of highly competitive market demand and customized intensive production. The goal of smart manufacturing technologies embedded systems in the Industry 4.0 paradigm and lean production is to enhance the flexibility in all tears of the enterprise. It is a big challenge, to measure the flexibility of smart systems for decision-making and adaptation of the new manufacturing technologies. The conceptual architecture of smart manufacturing systems has been proposed to solve the problem. Operational flexibility has been measured using a mathematical model for smart manufacturing in the Open Platform Communication Unified Architecture enabled Cyber-Physical Production System at shop floor level and validated. The results obtained from experimentation depict the operational flexibility, maximum capacity, and breakeven point of the manufacturing system have been improved by using smart manufacturing technologies. The proposed model improves the product manufacturing using Smart Computer Numeric Control Machining, Smart Autonomous Robotic Machining, Smart Additive Manufacturing and Smart Hybrid Additive & Subtractive Manufacturing up to 30.4%, 53.6%, 55% and 65% respectively. It will also help the decision-makers to overcome the challenges of transformation from conventional to smart manufacturing industry 4.0 paradigm.

Smart System Model to Disinfect SARS-CoV 2 in Physical Environments

Smart System Model to Disinfect SARS-CoV 2 in Physical Environments

Smart Sensor in Water Flow Monitoring Model using Microcontroller and Raspberry PI

Water is the source of human, animal and plant life which can be said to be living things. However, the need for clean water in the world is increasing along with the growth in the number of living things in the world. The scarcity of clean water is often found due to the wasteful use of water by humans and dirty water due to waste generated by humans. Thus the technology in hardware and software midwives plays a very important role in overcoming water savings for the survival of living things in order to survive. We don't know the use of water that we usually use in a day directly. If we look at the water meter in our house we don't have a display of the cost of water usage and how much water we use in a day. Rapidly developing technology is able to overcome this problem by building a system for calculating the water flow rate and the application to display the cost of using water using a water flow sensor and making a display application that is a user interface so that it will make it easier for humans to run this system and make a smart system model using a method that is used as a user interface. old like the microcontroller and the technology that was developing raspberry pi.

Concept «Smart freight wagon»

This article discusses the prospects for the implementation of the concept «Smart freight wagon» on the Russian railways. The article discusses a concept for developing in Russia a system for monitoring the operating conditions of rolling stock and transmitting telemetry data on the state of infrastructure under the design names «Smart freight wagon. Also, authors offer the author’s concept of this system improvements based on openHAB smart system model which helps to make the modular system in order to increase fault tolerance and flexibly adapt to the needs of specific customers.

ШЛЯХИ РОЗВИТКУ SMART-УНІВЕРСИТЕТУ (ДОСВІД КИЇВСЬКОГО УНІВЕРСИТЕТУ ІМЕНІ БОРИСА ГРІНЧЕНКА)

The article considers the meaning of the concept of SMART as "intelligent, intelligent", the abbreviation is also deciphered as follows: S - the goal should be clear, specifically defined and formulated, and the result to be obtained, understandable; M - the goal must be measurable (in monetary units, percentages, points, etc.); A - it is necessary to set sufficiently complex goals that involve efforts and innovation; R - the goal must be realistic within the available resources, knowledge and time to achieve it; T - the goal must be determined in time. The properties of SMART-university are determined: flexibility of learning in an interactive educational environment containing a modern electronic component; provides personal and adaptive learning for students; free access of all participants in the educational process to content, including electronic, from anywhere in the world. The model of SMART-system and preconditions of SMART-university development are given, which include technological factors that provide new tools and technologies for learning in the modern information and telecommunication environment; social factors, which include the needs of society in obtaining a new quality of educational services; economic factors, which are that education has always made a significant contribution to the development of macroeconomics. And in the conditions of formation of a digital society the transformed system of education will promote definition of a place of university in development of innovative economy of the country. The main approaches to development management of SMART-University are generalized. Some aspects of the implementation of the components of SMART-university are covered, such as the e-learning system LMS, cloud technologies, institutional repository, Wiki-portal, electronic document management, etc. Proposals for improving development management based on the generalization of foreign experience in the organization of adult education and its adaptation to the realities of the Ukrainian university are described. The results of a survey of students and teachers on the development of SMART-space at the university (on the example of BGKU) are analyzed. Some recommendations are presented, in particular, that one of the conditions of a scientifically organized and theoretically sound system of lifelong learning is the organization of SMART-space at the university

Merkezi Sterilizasyon Üniteleri İşletimi için Akıllı Sistem Modellemesi

Central Sterilization Units (MSU) in our country are insufficient in terms of planning, operation, management, infrastructure design and technological aspects. This negatively affects the work of health institutions and causes the spread of hospital infections threatening public health. A business plan to be adopted throughout the country is standardized by supporting the operation processes of MSUs which have an important place in terms of the health of the health institutions in our work in terms of community health, with the technological infrastructure. In this report, a smart system model is presented in order to improve the productivity of the business processes belonging to the Central Sterilization Unit of health institutions and to improve their performance. With the new process model unveiled, standardization is realized in the processes applied in the MSUs. In this direction, firstly the functioning of the MSU of a medium-sized health institution was examined, the causes of the inefficiency in the current operation were determined, and a new process modelling was carried out to improve the system. In the second stage of the project, the center's productivity and performance changes were measured if an information system was included in the operation of the MS. Business processes and writing processes are reconfigured in line with the outputs obtained and made suitable for the health institution. In addition, with the barcode-optical reader system added to the information system, the error-free and efficient operation of the system has been ensured by minimizing the user interaction in line with the internet principles of the objects.

OWL model of multi-agent Smart-system of distance learning for people with vision disabilities

The aim of the study is to develop an ontological model of multiagent smart-system of distance learning for visually impaired people based on Java Agent Development Framework for obtaining high-quality engineering education in laboratories of join use on modern equipment. Materials and methods of research. In developing multi-agent smart-system of distance learning, using various agents based on cognitive, ontological, statistical and intellectual methods is important. It is more convenient to implement this task in the form of software using multi-agent approach and Java Agent Development Framework. The main advantages of the platform are stability of operation, clear interface, simplicity of creating agents and extensive user database. In multi-agent systems, the solution is obtained automatically as result of interaction of many independent, purposeful agents. Each agent can perform certain tasks and pursue specified goals. Intellectual multi-agent systems and practical applications in distance learning based on them are considered. Results. The structural diagram of functioning of smart system distance learning for visually impaired people using various agents based on the system approach and the multi-agent platform Java Agent Development Framework is developed. The complex approach of distance learning of visually impaired people for obtaining highquality engineering education in laboratories of joint use on modern equipment is offered. The ontological model of multi-agent smart-system with a detailed description of the functions of following agents is created: personal, manager, ontological, cognitive, statistical, intellectual, shared laboratory agent, health agent, assistant to the agent and state agent. These agents execute their individual functions and provide a quality environment for learning. Conclusion. Thus, the proposed smart-system of distance learning for visually impaired people can significantly improve effectiveness and quality of the received education of this category of people. The benefits of using of the developed ontological model of smartsystem of distance learning for visually impaired people based on multifunctional agents are: complex approach, based on the use of various intellectual, cognitive and statistical methods; possibility of developing an individual trajectory of learning for visually impaired people including the psychophysiological features of perception information; distance access to the latest technological equipment for performing laboratory and practical works by visually impaired people in the shared laboratories in real time. The ontological model provides to analyze more deeply the numerous connections between agents and considers it in developing software for smart-system of distance learning for visually impaired people. Multi-agent approach provides multi functionality of system, stability to system errors, and optimization of computing resources.

Integrasi Metode IPMS dan SMART System Dalam Pengukuran Kinerja Perguruan Tingi

This study aimed to determine the level of achievement of the organization, performance in education, especially within the scope of a faculty. By using this IPMS method, it has been established over 32 objective strategy to be achieved that were summarized into 9 (nine) aspects are perspectives that exist on the SMART System Model. From the analysis of the priorities that had been made, there are five main factors that became the focus of attention and a critical indicator of success in achieving the vision and mission set by the “X” Faculty.From the measurements that had been performed Faculty performance index values were 3.72 level. Referod to a standard level of achievement, it could be concluded that the achievement of the Faculty “X”, was still far from the expected target, at the 8 to 9 level.

Model of Smart System Based On Smart Grid, Smart Meter and Wireless Based Smart Appliances

This research paper deals with networking of power system based on smart meter system. This paper will provide a complete look of smart system which involves smart meter, smart houses. The proposed method in this paper is quite efficient and reliable in contrast to all aspects to the global world. The proposed system in this paper will deals with whole power consumption and carry out all the communication throughout the entire system. The key cell in this smart system is customer house which must be a smart house as all the devices or appliances are smart due to installation of a wireless card. The card is communication icon between smart meter and appliances. A number of such smart houses are joint together to form a network under a single town server. This town server will manage both powers, one from service provider and other from regenerative sources installed in smart houses. The communication between smart house meter to town server is through local PSTN and also with power line. Many such town servers are connected in the entire system through PSTN and power line for power transmission so that they can share their information through PSTN and also power through power line. while all the town servers are connected to a main server through PSTN. All the smart houses are controlled by town server. Town server takes consumption of power for each instant from meter and save it and send it to main server after each hour. Town server also manage power in its area also from other town servers to fulfill the requirements of smart houses. Main server receive information from town server after exactly one hour and compile a bill up to that reading. The control of main server is associated with service provider. The main advantages of this system is that removal of high radiation as in ordinary system and in case of any disturbance at main server will not allow to let the system down