Support System Model Research Articles

Model of Identity Verification Support System Based on Voice and Image Samples

Model of Identity Verification Support System Based on Voice and Image Samples

Ecotourism as a path to sustainable development in an isolated Magic Town

Purpose This study aims to reveal the potential for ecotourism of a locality with high marginalisation index in the municipality of Tlalpujahua, a Magic Town in the State of Michoacán, Mexico. Design/methodology/approach This case study was based on several methodologies. First, socioeconomic, environmental, sustainability, geographic and institutional variables were used in the evaluation of 62 localities of the municipality. Geographic information systems identified study areas and determined their potential for ecotourism. Second, participatory diagnosis was used to collect specific information about the locality regarding their organisational aspects, development strategies, current socioeconomic problems, land use and resources availability and interest in developing projects related to ecotourism. Finally, the authors adapted the FAS Model (factors, attractors and support systems) to include environmental and organisational variables contributing to a theoretical approach to ecotourism. To identify attractors, they applied a questionnaire to determine the profile of tourists visiting Magic Towns and their potential interest in ecotourism. Findings The authors conclude that ecotourism is a possible alternative to highly marginalised localities within Magic Town municipalities and would be able to expand the benefits engendered by the program. Ecotourism can therefore represent a new option for tourists visiting marginalised communities in Mexico. Originality/value A diverse methodology applied key elements to identify localities suitable for ecotourism, characteristics of marginalisation and endowment of natural heritage. The authors conclude that the benefits to localities included in the Magic Towns Program can be expanded to surrounding spaces through strategies such as ecotourism.

Framework for Patient Service Queue System for Decision Support System on Smart Health Care

Improving the service of patient care in hospitals is important for all, prioritizing patient safety in the event of a sudden or catastrophic attack, in which case the priority is to provide services to the patient. In such situations a decision system is needed, in order for the system to be right and not wrong to do a decision because the handling of this issue is closely related to the patient's life. The patient handling technology supports highly smart healthcare technology, which of course is part of the Smart city. The purpose of this research is to get Smart Health Care model with Decision Support System model approach in public health service, where Decision Support System model for Smart Health Care can solve health service problem in order to make maximum service for patient

Decision Support for the Comparative Evaluation and Selection of Analytical Methods: Detection of Genetically Modified Organisms as an Example

The selection of the best-fit-for-purpose analytical method to be implemented in the laboratory is difficult due to availability of multiple methods, targets, aims of detection, and different kinds and sources of more or less reliable information. Several factors, such as method performance, practicability, cost of setup, and running costs need to be considered together with personnel training when selecting the most appropriate method. The aim of our work was to prepare a flexible multicriteria decision analysis model suitable for evaluation and comparison of analytical methods used for the purpose of detecting and/or quantifying genetically modified organisms, and to use this model to evaluate a variety of changing analytical methods. Our study included selection of PCR-, isothermal-, protein-, microarray-, and next-generation sequencing-based methods in simplex and/or multiplex formats. We show that the overall result of their fitness for purpose is relatively similar; however, individual criteria or a group of related criteria exposed more substantial differences between the methods. The proposed model of this decision support system enables easy modifications and is thus suitable for any other application of complex analytical methods.

Risk assessment for ballast water management — Learning from the Adriatic Sea case study

The ballast water management convention incorporates principles of risk assessment. A new ballast water management risk assessment model was developed to support the implementation of most efficient management measures, which we also present as a flowchart decision support system model. The risk assessment model was tested using data from port baseline surveys where available, and real shipping and ballast water discharges data. The here presented ballast water management risk assessment and possible management options are applicable elsewhere to support and improve complex decision making in the implementation of management requirements according to the ballast water management convention. If needed, the model may easy be adapted to address local specifics in any other region or area.

Robust control of drag and lateral dynamic response for road vehicles exposed to cross-wind gusts

A robust closed-loop active flow control strategy for road vehicles under unsteady cross-wind conditions is presented. It is designed based on black-box models identified from experimental data for a 3D bluff body equipped with Coanda actuators along the rear edges. The controller adjusts the blowing rates of the actuators individually, achieving a drag reduction of about 15% while simultaneously improving cross-wind sensitivity. Hereby, the lateral vehicle dynamics and driver behavior are taken into account and replicated in the wind tunnel via a novel model support system. The effectiveness of the control strategy is demonstrated via cross-wind gust experiments.

Diversion of Fishing Pressure on the Economically Important Species Barbus barbus (Linnaeus, 1758) to Protect the Community Interest Congeneric Barbus meridionalis Risso 1826, Based on a Decision-Support Management System

Abstract The ADONIS:CE instrument has been used in the field of congeners species, Barbus barbus – of economic interest and Barbus meridionalis – of conservation interest, to build a support-system model for management decision-making. Analysis of the habitat needs and the indicators for favorable conservation status have identified pressures and threats to these fish species for which management actions have been proposed. This management system favors the decrease of fishing pressure on Barbus meridionalis species by its transfer to Barbus barbus species.

Method of the e-learning support system using as a development of informational and communicative competence of the university distance education center employees

The university e-learning support system development is presented in the article. The model analysis of the e-learning support system using as a means of informational and communicative competence development of the university distance education center employees is conducted. The main tasks to be solved by the e-learning support system are formulated. The e-learning support system at the university was developed in the context of a systematic and informational approach in accordance with the main points regarding the characteristic features inherent, on the one hand, to pedagogical, on the other hand, to information systems. The model of e-learning support system as a means of informational and communicative competence development of the university distant education center employees is described. We are assured that the university distant education center employees training will be more effective by using e-learning support system. Implementation of such systems principles extends the space of the learning environment, sets new requirements for the process of acquiring knowledge and skills of universities by distance education centers staff, takes into account individual needs for personal development of employees, professional interests and rationalizes the modern information society needs

Basin Irrigation Design with Multi-Criteria Analysis Focusing on Water Saving and Economic Returns: Application to Wheat in Hetao, Yellow River Basin

The sustainability of the Hetao Irrigation System, located in the water scarce upper Yellow River basin, is a priority considering the need for water saving, increased water productivity, and higher farmers’ incomes. The upgrading of basin irrigation, the main irrigation method, is essential and includes the adoption of precise land levelling, cut-off management, improved water distribution uniformity, and adequate irrigation scheduling. With this objective, the current study focuses on upgrading wheat basin irrigation through improved design using a decision support system (DSS) model, which considers land parcels characteristics, crop irrigation scheduling, soil infiltration, hydraulic simulation, and environmental and economic impacts. Its use includes outlining water saving scenarios and ranking alternative designs through multi-criteria analysis considering the priorities of stakeholders. The best alternatives concern flat level basins with a 100 and 200 m length and inflow rates between 2 and 4 L s−1 m−1. The total irrigation cost of designed projects, including the cost of the autumn irrigation, varies between 2400 and 3300 Yuan ha−1; the major cost component is land levelling, corresponding to 33–46% of total irrigation costs. The economic land productivity is about 18,000 Yuan ha−1. The DSS modelling defined guidelines to be applied by an extension service aimed at implementing better performing irrigation practices, and encouraged a good interaction between farmers and the Water Users Association, thus making easier the implementation of appropriate irrigation management programs.

Информационное обеспечение поддержки принятия решений на примере составления расписания занятий образовательной организации

This article is about a task of learning of effective use of information technologies with the decision support. The criteria for evaluating the activity of economic and social systems are systematized, their classification and areas of application of particular criteria of different nature are given. It is proposed to integrate knowledge in the field of information technologies in order to decision support on example of an actual task of scheduling lessons. The initial data are determined, the factors of the model are classified, a mathematical model is designed, its limitations are proposed. Methods for obtaining schedule quality criteria from various points of view and integral quality criterion design are presented. The limitations of possible solutions are considered and classified. Some examples of formula criteria unusability are given. The selection of optimization algorithms based on an integral criterion is substantiated. The transition from structural models of the activity of decision makers to information models of decision support systems is shown. The concept of an expert decision support is offered by an estimation of its difficultly formalized actions on change of parametric values of the system. Sets of objects of the system are compared to the essences of the information model, and its improving transformations are given. The variants of the information model with different degrees of normalization are considered; their comparative advantages and disadvantages are shown. The directions of development of the information model in the structure of the automated management system of the university are determined. As a conclusion a possibility of increasing the efficiency of the activities of complex socio-economic systems through the rational use of mathematical, information and simulation tools is proved. It is shown that this area of activity is currently promising from the point of view of the effective application of the efforts of a specialist in the field of informatics.

Multi-objective pose optimal distribution method for the feed support system of Five-hundred-meter Aperture Spherical radio Telescope

The Five-hundred-meter Aperture Spherical radio Telescope is the world’s largest single-dish radio telescope and is located in the southwest of China. The cable-driven parallel robot and A-B rotator of the feed support system in Five-hundred-meter Aperture Spherical radio Telescope are designed to realize the theoretical position and attitude of the receiver. The feed support system is a pose-redundant and rigid–flexible coupling system; thus, the method of pose distribution between the A-B rotator and the cable-driven parallel robot impacts on the cable tension distribution and stiffness of the feed support system, which are crucial to the feed support system stability. The main purpose of this study is to examine the pose optimal distribution method for the feed support system. First, a mechanical model of the feed support system, which considers the time-varying barycenter of the feed cabin and the back-illuminated strategy of the receiver, is established. Then, a pose distribution method that ensures the position and attitude accuracy of the receiver is proposed for the feed support system. Considering the performance indices of the variance of cable tensions and the stiffness of the cable-driven parallel robot, an optimization of the rotation angles of the A-B rotator with multiple objectives is implemented using a genetic algorithm. Finally, simulations are conducted to demonstrate the effectiveness of the proposed method compared with others. Results show that the proposed approach not only ensures the attitude accuracy of the receiver but also maintains the lower variance of cable tensions and higher stiffness of the feed support system.

Interactive Advising with Bots: Improving Academic Excellence in Educational Establishments

Student advising services are often regarded as the mainstream vehicle for promoting relationships, understanding, and performance in academic institutions especially at the tertiary level. However, it is often fraught with challenges in developing countries in respect of insufficient supporting manpower and attendant high cost of running effective services. In institutions where the services exist, not all students benefit from it as a result of some factors such as: the sub-optimal performance of the advising personnel; negative psychological complex in students arising from unusual egocentrism (especially in those students who are regarded as “low performers” and would prefer not to be openly confronted); handicapped students especially those students with visible handicaps e.g. speech problems, etc. This paper is the first part of a study aimed at creating a balance in the foregoing situations by presenting a design of a faceless automated “<i>AdvisorBot</i>” based on the bot framework. The design reflects a virtual support system model which could be adopted to enhance student support and course advising efficiency. Analysis of the existing system in most tertiary institutions in Nigeria reveals that student support services actually exist though not efficient in the sense that there are seldom specialized units/departments dedicated to this function in majority of the Institutions especially the public institutions where student advising is the work of academic staff in the various departments. The design follows a mix of the agent and object-oriented approaches and produces an implementation-ready specification whose full implementation would effectively support students during their studies. The system facilitates the process of advising by providing quick and easy access to valuable information, and giving important feedback on several issues involved in student advisement, which otherwise would take considerable time.

Hydrological Disasters Management and Risk Assessment

In India, floods and droughts are recurrent hydrological phenomenon causing huge losses to lives, livelihood, properties and infrastructure due to non-uniformly distributed rainfall both in time and space leading to the dimensionally opposite problems of flood and drought in different parts of the country. Out of 3290 lakh hectares geographical area, 40 million hectares is prone to floods which show high risk, vulnerability and is one of the most common hydrologic extremes frequently experienced by our country. On the other hand drought has a varying frequency from once in two years to once in fifteen years. It has been observed that there is flood in one part of country and severe drought in the other part. Various short term and long term measures should be adopted to prevent and mitigate the consequences of floods and drought rather than causing damages and losses due to interfering of the natural processes. In this paper, drought and flood problems in India are highlighted along with some of the important management issues requiring immediate attention. Furthermore, it presents the recently developed non-structural techniques for flood forecasting, flood plain zoning, glacial lake outburst modeling and decision support system.

OPTYMALIZACJA WIELOKRYTERIALNA W PROCESIE PRODUKCJI MEBLI

Opracowanie dotyczy zastosowania programowania liniowego całkowitoliczbowego w optymalizacji wielokryterialnej. Celem badań było opracowanie modelu sterownika decyzyjnego umożliwiającego jednoczesną minimalizację poziomu zapasów półfabrykatów wygenerowanych w procesie cięcia, jak i odpadów po rozkroju. Zadaniem sterownika było dobranie odpowiedniego programu rozkroju z uwzględnieniem zamówień produkcyjnych, bieżących zapasów półfabrykatów i ograniczeń odnośnie dopuszczalnych poziomów zapasów.

Модель системы поддержки управления кадровым составом оперативных служб с учетом критериев вероятностного взаимодействия

Модель системы поддержки управления кадровым составом оперативных служб с учетом критериев вероятностного взаимодействия

Cottus gobio Linnaeus, 1758 Community Interest Species Conservation in Upper Târnava Mare River Basin, Through Fish Populations Rehabilitation for Brown Trout Zone Based on a Decision-Support Management System

Abstract The ADONIS: CE software has been used for two fish species, Cottus gobio, of conservation interest and Salmo trutta fario, of economic interest, to design an on-site (upper Târnava Mare River) adapted support-system model for management decision-making. Habitat needs and indicators of favourable conservation status have been investigated, pressures and threats to these fish species have been determined, and management elements have been suggested. This management system allows the proper organization of management measures for the renaturation of the local natural fish associations in the local brown trout zone.

Landscape Risk Assessment Model and Decision Support System for the Protection of the Natural and Cultural Heritage in the Eastern Mediterranean Area

In recent years, the competition of uses for scarce and highly valuable natural resources, and the frequency and severity of natural and technological disasters have increased, and this trend is likely to worsen in the years to come. In the Mediterranean area, especially in its Eastern part, the high human exploitation driven by different economic sectors and interests is resulting in intensive use of the land and its resources. Tourism intensification, rapid growth of urban settlement and related sprawl, movement and displacement of populations, rural abandonment, and adoption of different agricultural techniques are profoundly and rapidly changing the landscape character of the East Mediterranean. In view of the risks to cultural and natural heritage, a Landscape Risk Assessment Model (LRA) and Decision Support System (LDSS) were developed through the MedScapes-ENPI project. This paper reports the experience conducted at the Landscape Design and Ecosystem Management Department (LDEM) in the American University of Beirut (AUB) in developing the two tools, LRA and LDSS. It aims to provide insight into the methodology designed and tested during the length of the project to take into account the protection of landscapes of particular interest as well as the rational planning of all the landscapes with special emphasis on the use of natural resources. The assessment was applied in the study area of each partner country of the ENPI project, allowing for a better understanding of the implications in land-use and conservation decision-making.

Advances in research of greenhouse gasses emission reduction by agricultural irrigation engineering

Emissions of N2O and partial CO2, CH4 among the greenhouse gases (GHGs) are mainly from agricultural production and show reciprocal relationships that change with tillage patterns of upland crops. For example, water-saving irrigation in paddy fields reduces CH4 but increases N2O. Accordingly, the application of biotechnology to regulating community structure of rhizosphere microorganisms to obtain satisfactory interaction patterns between rice and microorganisms is the orientation of future researches. In order to ensure the security and stability of water supply under the background of climate change, a reliable design should be introduced into the demonstration of irrigation water. The combination of reasonable allocation of the water resource and GHGs reduction should be addressed. This requires not only expansion of rice planting areas but also improved utilization models of field water management, water–fertilizer coupling, and effcient resource selection. The government should formulate preferential policies to further environmental compensation by encouraging voluntary abandonment of some economic benefits and reduced GHGs emissions, based on the contribution rates to total GHGs emission of N2O, CO2 and CH4 derived from agricultural activities and irrigation. An optimized model and decision support system that considers crop planting, integration of water and fertilizer, and compensation for reducing greenhouse gases should be developed to guide irrigation management.

Improvement of Steam Turbine Operational Performance and Reliability with using Modern Information Technologies

The report presents improvement methods review in the fields of the steam turbine units design and operation based on modern information technologies application. In accordance with the life cycle methodology support, a conceptual model of the information support system during life cycle main stages (LC) of steam turbine unit is suggested.A classifying system, which ensures the creation of sustainable information links between the engineer team (manufacture’s plant) and customer organizations (power plants), is proposed.Within report, the principle of parameterization expansion beyond the geometric constructions at the design and improvement process of steam turbine unit equipment is proposed, studied and justified.The report presents the steam turbine unit equipment design methodology based on the brand new oil-cooler design system that have been developed and implemented by authors. This design system combines the construction subsystem, which is characterized by extensive usage of family tables and templates, and computation subsystem, which includes a methodology for the thermal-hydraulic zone-by-zone oil coolers design calculations.The report presents data about the developed software for operational monitoring, assessment of equipment parameters features as well as its implementation on five power plants.

INTELLECTUAL EVOLUTION SYSTEM OF SUPPORT OF DECISION-MAKING BASED ON NEURAL NETWORK AND IMMUNE APPROACHES

The article considers the model of the intellectual decision support system based on the neural network, the training and evolution of which are carried out using the immune approach.&#x0D; The evolution of the system is considered as the task of adapting it to the conditions for changing the external environment and the properties of the decision-making object, consisting of procedures for correcting the number of neurons in the hidden layers and the parameters of the system model using immune models for clonal selection and the immune network.