Support System Model Research Articles

성취기준 통합 데이터 모델을 통한 성취평가 지원 시스템 모델링

성취기준 통합 데이터 모델을 통한 성취평가 지원 시스템 모델링

Production and Technological Infrastructure of Innovative Business in Resource Regions

This article discusses approaches to the formation of the infrastructure support system for innovative entrepreneurial activity in resource-based regions. The author redefines the notion of infrastructural support of innovative entrepreneurship, develops a territorial-production model of the infrastructure support system for innovative business, and proposes approaches to the formation of infrastructure support systems for innovative business in resource-based regions, as well as production and technological infrastructure in resource-based regions at the macro, meso and micro levels. The author also proves the need for developing technology parks, business incubators, technology transfer centers, territories of advanced development, special economic zones. The expediency of development of infrastructure in the form of internal ventures and spinouts are proved. Special attention is paid to the formation of territories of advanced development in single-industry towns.

MODEL OF MUTUALLY DEPENDENT TRANSPORT FLOWS TRAFIC CONTROL ON INDUSTRIAL RAILWAY TRANSPORT

Issues related to the optimal control of interdependent traffic flows during the dispatching centralization of industrial railway transport facilities are investigated. The problem of the intellectual and analytical support of dispatch control and monitoring systems in industrial transport is considered. Mathematical models have been developed for the optimal control of transport processes on industrial rail transport according to the criteria of maximizing the transported mass of goods and minimizing rolling mileage. Simulation modeling of the intellectual-analytical decision support system was carried out by the operational personnel of the centralized control room, on the basis of which a number of graphical dependencies of optimization parameters were obtained. A program implementation of the developed models with the purpose of their integration with dispatch centralization systems for the formation of recommendation actions to operational personnel is proposed. Identified ways to further research in the subject area. The adequacy of the proposed methods and models is confirmed by simulation. In particular, on the basis of modeling, graphical dependencies of the parameters of cargo flows on the coordinates of the rolling stock and the density of the commodity mass on the transport network of an industrial combine were obtained. The resulting graphical dependencies in their software implementation allow you to directly determine the best ways to manage the plant’s traffic flows. The practical implementation of the methods, models and approaches proposed in the article consists in developing dispatching control and monitoring systems for industrial railway transport on their application software, which will provide recommendations on the optimal management of interdependent train traffic for the transportation of technological raw materials and goods.

The Structure of Information Support System of the Enterprise Production Work

The article defines the meaning of the idea 'the information support system of production activity'. In comparison with the academic approach describing information support as a totality of system elements it was shown that the interaction of elements' totality aims at performing key functions of information support (collection, processing, storage, revision, renewal of information, preparation for use) and attaining the principle goal of timely delivery of objective, trustworthy, complete information about the condition of enterprise production work and its external environment. Specified and amended definition reveals the essence of the information support system in organization of production work and management at the enterprise. On the basis of this definition key elements were identified and a structural model of the information support system was developed. The author worked out methodology for assessing the efficiency of information support of enterprise production work, whose specific features includes 4 criteria: availability of key elements of the system, sufficiency, accessibility and demand. By results of assessment 3 levels of the system development can be identified: high, medium and low. Assessing the system of information support can help find bottle necks and show key lines in developing the system. Academic novelty of the research implies the development of theoretical-methodological provisions and working out a set of practical recommendations aimed at upgrading the information support system of enterprise production work.

Decision Support System Model of Teacher Recruitment Using Algorithm C4.5 and Fuzzy Tahani

During the new academic years, schools accept new students either at the level of elementary school (SD), junior high school (SMP), senior or vocational high school (SMA/SMK), as well as the existence of Islamic Education Teachers. Data taken from Local Office of Education (Diknas) of Magelang collaborated with Local Office of Religious Affairs (Kankemenag) of Magelang in 2015-2017, the Islamic Education Teachers (GPAI) recorded in 2015-2017 still less of 275 people of GPAI. It was caused by retirement, prolonged ill, and passed away. Diknas and Kemenag collaboration in openning the recruitment of GPAI is currently still using the manual system (Microsoft Excel), so it causes the administration data in that recruitment less objective and unaccountable, these are the obstacles in the teacher candidates’ recruitment which must be solved soon. How to make a system solves this problem. Meanwhile, the interest of Islamic Education Teacher (GPAI) candidates is high. To support and overcome this issue, an admission system of Islamic Education Teacher (GPAI) candidates is made so the results are accountable. Decision support system of teacher recruitment using algorithm C4.5 and Fuzzy Tahani is a system which can overcome this problem. Researchers try to build a system with the combination between the methods of Algorithm C4.5 and Fuzzy Tahani that can help the decision making in the recruitment of Islamic Education Teacher candidates. From the training results of 484 recorded criteria using attributes (1) Last Diploma; (2) University Accreditation; (3) The Faculty of Education; (4) Islamic Education (PAI) Department; (5) Police Certificate (SKCK); (6) Passport Photo; (7) ID Card; resulting in 290 recorded data of the Entropy and Gain calculation with an average time 3 minutes 15 seconds shows that percentage value of the final result those who cannot be recommended are 33%, then those who receive recommendation are 68%, with the value of entropy produced is 0.591672779.

The qualitative risk assessment model of riskote decision support system

Sendai Framework for Disaster Risk Reduction 2015-2030 identify among other principles that disaster risk reduction requires a multi-hazard approach and inclusive risk-informed decision-making. The development of a harmonized decision support tool to ensure that planning decisions are informed about the hazards affecting a given territory, the vulnerability of different land uses, exposed elements and options available to mitigate risks is crucial in the context of spatial planning. The objective of this paper is to describe the qualitative risk assessment model used in the development of the RiskOTe decision support system (DSS). RiskOTe is a spatial decision support system to assist spatial planning integrating the risk management component at municipal level. The qualitative risk assessment model used in RiskOTe is based on risk matrix that relates consequences and likelihood. Oeiras municipality was used as case study to demonstrate the applicability of the spatial decision support system. The scenarios obtained from the case study show that decision-making integrating risk analysis can be supported on a solid basis of information obtained from the system.

Managerial Decision Support Making in Economic Systems Based on Cognitive Modeling

The research is devoted to the search for the technologies to support managerial decisions in the transport industry economic systems. The problems of the complex economic systems modelling have been identified. Cognitive modelling is considered as a tool of supporting intelligent decision making in economic systems. The modelling is based on methods of pattern recognition theory. The results of the scientific research are presented with structural-analytical models of decision support systems. Such models represent the knowledge processing to formulate recommendations for making managerial decisions. Knowledge based on the experience of managing a production situation should be stored in the knowledge base of the information decision making support system. Cognitive modeling will make it possible to study the problems that arise in unstable, weakly structured dynamic economic systems, taking into account changes of the external environment and the object of management itself, systematizing and verifying the expert's perception of the management object and its external environment, forecasting the values of economic system factors and generating optimal management strategies.

Is the finer the better for municipal solid waste (MSW) classification in view of recyclable constituents? A comprehensive social, economic and environmental analysis

With the accelerating pace of urbanization, the continuous increase of municipal solid waste (MSW) has become a major obstacle to China's economic development. Therefore, China recently regards MSW classification scenario as an important strategy for national ecological civilization. However, published references have not focused on MSW classification in view of environmental, economic and social acceptation simultaneously. This research proposes a new Decision Support System (DSS) model considering all three aspects to analyze the comprehensive benefit of the four MSW classification scenarios in Pudong (Shanghai, China) using cost benefit analysis (CBA), life cycle assessment (LCA) and analytical hierarchy process (AHP). Among them, there is an important boundary factor in the life cycle assessment. This work mainly focuses on the net energy consumption, namely the air and water emission of different substances. The results show that the classification scenario II, dividing MSW into toxic and hazardous waste, recyclable, kitchen waste and combustible waste, is the best option. Although scenario III (MSW is divided into toxic and hazardous waste, recyclable waste (paper, plastic, scrap metal, waste glass and other small class), kitchen waste and combustible wastes) and IV (recyclable waste in Scenario II is further classified, for example, paper is subdivided into newspapers, books, cardboard, etc.) further refine the MSW classification, the DSS model analysis results indicate that neither of these are the most feasible scenario. Therefore, finer classification is not always the better if we consider all three pillars of sustainability.

Wind Tunnel Support System Influence on NASA Common Research Model at Low-Speed Conditions

Computational studies were conducted in order to gain an understanding and to quantify the impact of the model support system and aeroelastic wing deformation on the Common Research Model at subsonic inflow conditions at . Comparisons between results obtained in the European Transonic Windtunnel and from simulations using TAU reveal the extent of the modeling error introduced by neglecting the support structure. RANS simulations with and without the support system show that it has a near-field effect on the model’s rear fuselage, significantly altering the pressure field and thereby impacting the force coefficients, most significantly drag and pitching moment. Aeroelastic wing deformation was also included in the investigation, showing non-negligible impact on the forces. The inclusion of the support system and wing deformation, as well as the use of advanced turbulence models, was shown to promise considerable error reduction potential in comparative studies between wind tunnel and simulation data.

Modeling and simulation method of equipment support system based on multiple agents

The equipment support system plays a decisive role in modern war. If the actual equipment test is used, the cost of time, manpower, and material resources is higher, so the modeling and simulation method is more scientific. However, as a complex system, the equipment support system has many components and complex interactions, so it is difficult to reveal its characteristics by using a simulation method based on the discrete event. Therefore, the emergent properties of the system can be revealed by the bottom-up and collaborative autonomy of the agents through a simulation method based on multiple agents to model and simulate the equipment support system. In this research, the simulation modeling of the equipment support system is carried out based on multiple agents, the architecture of the simulation platform is constructed, and such key technologies as simulation operation management, time synchronization, and data distribution are studied. A publish subscribe algorithm for a two-way dynamic rough linked list tree is proposed. Finally, through the prototype system and case analysis, it is proved that the modeling and simulation method based on multiple agents is feasible.

A simplified framework and performance analysis for while-drilling telemetry systems in underbalanced drilling operations

As it stands, underbalanced drilling (UBD) operation has been beneficial in the exploration of hydrocarbons and production, with advantages like faster drilling control of lost circulation, stuck pipe situations, minimal or less formation damages and an enhanced ability to expedite development of brown fields. In spite of its edge over conventional drilling, the techniques can be more complex as well. Thus, a telemetry system is required to link downhole and surface while-drilling components transmitting and providing useful information under the real-time condition to the driller during drilling operations for more precise wellbore placement to ensure maximum reservoir exposure, ultimate production increment and monitoring conditions. A novel and systematic decision support system model based on distance-based approach has been developed for performance evaluation and optimal selection of while-drilling telemetry systems for the potential development of a depleted reservoir field. The proposed methodology attests to the need for the relative importance of criteria for a given application, without which inter-criterion comparison could not be accomplished. It requires a set of model selection criteria, along with available telemetry techniques and their level of criteria for optimal selection; and it successfully presents the results in terms of a merit value which is used to rank the while-drilling telemetry systems. This aims at delivering reliable drilling performance resulting to deliverable of real-time downhole data collection and most importantly places the matured well with minimal non-productive time during UBD operations. The scientific value of this study is the development of a simplified user-friendly decision support system for telemetry systems performance evaluation and selection optimization. The proposed framework was being validated and applied to a matured reservoir for an optimum selection of telemetry techniques in the UBD operation. The result of computations displayed similar results obtained by expert judgment demonstrating the significance effect and need for telemetry systems.

“Creativity Engine”: A Creativity Support System for Internet Content Creation

With the development of artificial intelligence technology, intelligent algorithms have brought tremendous changes in transportation, finance, entertainment and other fields. This paper is based on the theory of Geneplore Model, combined with intelligent algorithms, providing a method to realize creativity support system model. The framework of the “Imagination Engine” Scenario Model is constructed through the Interpretation Structure Model (ISM), which is the CSS methodology in the field of the Internet content creation. With this methodology as the guide, using Python to develop the software that is used to deconstruct the content creation of “Office Ms. Yeah”, one of the Internet’s head content providers. A weighted Euclidean Distance is constructed to evaluate the simulation performance, and then verify the effectiveness of this methodology. Finally, this paper gives the conclusion, the application condition, the limitation, and the subsequent improvement ideas.

Opportunities and challenges of behavior change support systems for enhancing habit formation: A qualitative study

The formation of healthy habits is considered to play a fundamental role in health behavior change. A variety of studies on Health Behavior Change Support Systems (HBCSS) have been conducted recently, in which individuals use such systems to influence their own attitudes or behaviors to achieve their personal goals. However, comparatively much less research has been devoted to studying how the users of these systems form habits with the help of HBCSS, or to understanding how to design these systems to support habit formation. ObjectiveThe objective of this article is to study HBCSS user experiences regarding habit formation through an intervention study targeted at establishing a healthier lifestyle. This study also aims to map habit formation stages, as suggested by Lally and Gardner, with the Persuasive System Design (PSD) model. The application domain is the prevention of metabolic syndrome, in which 5% weight loss can significantly reduce the prevalence of the syndrome. MethodsThis study employs a web-based HBCSS named Onnikka, a lifestyle intervention designed for the prevention of metabolic syndrome for participants who are at risk of developing a metabolic syndrome or are already suffering from it. The system under investigation was designed according to the principles of the PSD model and Behavior Change Support System framework. Lally and Gardner’s research on the stages of habit formation were used to study the extent to which the Onnikka system was able to enhance the development of new habits. A total of 43 Onnikka users were interviewed for this study during and after a 52-week intervention period. The research approach employed here was hermeneutics, which leans ontologically toward the social construction of reality, gained through language, consciousness, and shared meaning. In addition, the system’s login data and participants’ weight measurements were utilized to build an interpretation of the results. ResultsThe findings of this study suggest that IT habits appear to have a strong linkage with use adherence, whereas lifestyle habits did not seem to be directly related to the 5% weight loss among study participants. Moreover, habit formation stages provide a possible explanation for why self-monitoring, reminders, and tunneling were perceived as especially valuable features in this study. ConclusionsFor sustainable weight management, holistic e-health interventions are required, and the PSD model offers a practical approach for designing and developing them. Recognizing the stages of habit formation provides additional valuable guidance for designing systems that help shape an individual’s habits.

Computational study of wing deformation and sting interference effects with the CAE-AVM test case

A modern transonic computational fluid dynamics test case is described in this paper, which is the Aerodynamic Validation Model (AVM) from the Chinese Aeronautical Establishment (CAE). The CAE-AVM is a representation of a modern transonic business jet aircraft with a design Mach number of 0.85. Numerical simulations for the AVM are conducted for two geometries: one baseline geometry, and one geometry that includes the applied model support system of the wind tunnel as well as the deformed wing shape that occurred during wind tunnel testing. The combined influence of wing deformation and model support interference on local and integral aerodynamic features is presented. Comparisons between CFD and experimental results are made; reasons of discrepancy between results from considered cases are analyzed.

Outlining a Model of an Intelligent Decision Support System Based on Multi Agents

Outlining a Model of an Intelligent Decision Support System Based on Multi Agents

Outlining a Model of an Intelligent Decision Support System Based on Multi Agents

Performance optimization has become a necessity for the survival of enterprises as emerging technologies continue to impact them. To achieve this goal, decision making, a complex process which depends on big data and human issues, must be effective. As enterprises are being subjected to a multi-faceted pressure, they must ensure the optimization of their performance. This article investigates an intelligent decision support system (IDSS) based on multi agent systems (MAS). Our contribution consists in developing an intelligent model with an IDSS MAS approach that can detect and evaluate changes in both the external environment and the enterprise itself. This model is an adequate management tool for optimal and sustainable performance and offers real-time analytical, prospecting and optimization methods.

Operating Task Redistribution in Hyperconverged Networks

In this article, a searching method for the rational task distribution through the nodes of a hyperconverged network is presented in which it provides the rational distribution of task sets towards a better performance. With using new subsettings related to distribution of nodes in the network based on distributed processing, we can minimize average packet delay. The distribution quality is provided with using a special objective function considering the penalties in the case of having delays. This process is considered in order to create the balanced delivery systems. The initial redistribution is determined based on the minimum penalty. After performing a cycle (iteration) of redistribution in order to have the appropriate task distribution, a potential system is formed for functional optimization. In each cycle of the redistribution, a rule for optimizing contour search is used. Thus, the obtained task distribution, including the appeared failure and success, will be rational and can decrease the average packet delay in the hyperconverged networks. The effectiveness of our proposed method is evaluated by using the model of hyperconverged support system of the university E-learning provided by V.N. Karazin Kharkiv National University. The simulation results based on the model clearly confirm the acceptable and better performance of our approach in comparison to the classical approach of task distribution.

Highway and Life Cycle Costing as Decision-Making Support System Model

Objective: This paper presents the measurable variables in Malaysia Green Highway Index (MyGHI). Methods/Statistical Analysis: Mean result were determined showed respondents level of agreement towards LCC component and Green Highway Index (GHI) measureable criteria. Findings: This paper also highlights the expected findings which lead to identifying important factors in developing real-time decision making application using LCC. The outcome of the paper will inspire the Malaysian highway builders to respond to green highway development and make LCC as a tool of decision making. Applications/Improvements: Thus the later, correlation between MyGHI measurable variables and LCC can be carried out to determine the significant elements that influence the decision-making to achieve targeted score of MyGHI.

A model of FSM-based planner and dialogue supporting system for emergency call services

The objective of an emergency call is to provide the operator with as much pertinent information about the emergency as possible, so that the best course of action can be taken toward its resolution. In this paper, we propose a dialogue planner to support operators who take emergency calls. The proposed system helps the operators to respond appropriately to a caller’s report by planning potential follow-up dialogue. The decision-making process used by the planner to select from among the proposed actions is implemented as a finite-state machine. The planner assigns a weight to each path between the states, evaluates the current dialogue model, and then adjusts the weights accordingly. Therefore, the weights assigned to potential actions vary dynamically as the dialogue progresses. The proposed model guides the operators’ decisions throughout each conversation by informing them regarding the action that has the highest weighting.

Applying a Revised Approach of Fuzzy Cognitive Maps on a Hybrid Electrical Energy System

Complex systems modeling is a rapidly developing research field which incorporates various scientific sectors from bio medicine and energy to economic and social sciences. However, as the systems’ complexity increases pure mathematical modeling techniques prove to be a rather laborious task which demands wasting many resources and in many occasions, could not lead to the desired system response. This realization led researchers turn their attention into the field of computational intelligence; Neural Networks and Fuzzy Logic etc. In this way scientists were able to provide a model of a system which is strongly characterized by fuzziness and uncertainties. Fuzzy Cognitive Maps (FCM) in another methodology which lies in the field of computational intelligence. FCM came as a combination of Neural Networks and Fuzzy Logic and were first introduced by B. Kosko in 1986. All these years they have been applied on a variety of systems such as social, psychological, medical, agricultural, marketing, business management, energy, advertising etc, both for systems modeling and decision-making support systems, with very promising results. Classical FCM approach uses the experts’ knowledge in order to create the initial knowledge base of each system. Based on the experts’ knowledge, the interrelations among the system variables are determined and the system response is defined. Through years, improvements have been made and learning algorithms were embodied in the initial approach. Learning algorithms used data information and history to update the weights (the interconnections) among concepts (variables), contributed to the optimization of FCMs and reached more efficient systems’ response. However, all these decades, researchers have mentioned some weak points as well. In the last years substantial research has been made in order to overcome some of the well-known limitations of the FCM methodology. This paper will apply a revised approach of the Fuzzy Cognitive Maps method on a techno-economic study of an autonomous hybrid system photovoltaic and geothermal energy Specifically, the FCM model of this system includes twenty-five concepts and three of them are considered as outputs, the total system efficiency, the total energy production and the total system cost. The aim of the study is to provide maximum performance with the minimum total cost. To this end results for both the classic and revised approach of the FCM method are provided and discussed. Computational Intelligence and especially Fuzzy Cognitive Maps are a very promising field in modeling complex systems. The latest approaches of the method show that FCM can open new paths towards higher efficiency, more accurate models and effective decision-making results.