Support System Module Research Articles

Reusable Generic Clinical Decision Support System Module for Immunization Recommendations in Resource-Constraint Settings.

Clinical decision support systems (CDSS) are routinely employed in clinical settings to improve quality of care, ensure patient safety, and deliver consistent medical care. However, rule-based CDSS, currently available, do not feature reusable rules. In this study, we present CDSS with reusable rules. Our solution includes a common CDSS module, electronic medical record (EMR) specific adapters, CDSS rules written in the clinical quality language (CQL) (derived from CDC immunization recommendations), and patient records in fast healthcare interoperability resources (FHIR) format. The proposed CDSS is entirely browser-based and reachable within the user's EMR interface at the client-side. This helps to avoid the transmission of patient data and privacy breaches. Additionally, we propose to provide means of managing and maintaining CDSS rules to allow the end users to modify them independently. Successful implementation and deployment were achieved in OpenMRS and OpenEMR during initial testing.

A decision‐making support system module for customer segmentation and ranking

AbstractMany businesses have their own method of segmentation and of customer evaluation to help them give the appropriate managerial attention to each segment and each customer. This paper proposes a more refined and objective decision‐making support system module that allows segmentation and full ranking of customers. It offers several improvements and advantages over the state‐of‐the‐art methods. The module is based on customer criteria with quantitative values that can be extracted from the organizational information system. Customer scores are calculated objectively on the basis of measurable criteria without the need for human evaluation. The module determines the relative location of each customer within that customer's segment (for example, Platinum, Gold, Silver, and Bronze), tracks changes that occur over time, and enables a full and precise ranking of the customers according to company‐defined criteria. The module can be computerized and results can be generated quickly at any time, using up‐to‐date data. The module's design was based on feedback from a survey conducted among 39 managers and its applicability was successfully demonstrated in a real‐world case study. The decision‐makers in the organization where the case study was conducted stated that they would apply the proposed method quarterly (four times a year) instead of once a year. It was also found that the proposed method saves about 90% of the time and resources required to prepare a customer portfolio management and customer ranking compared to the subjective method that was used.

Algorithm for identifying clients based on dynamic MAC addresses in narrowly targeted secure networks using deep learning neural networks

Existing algorithms for identifying clients on a network segment are based on static client binding by MAC address. MAC address generation is based on pseudo-random sequences of 0–256 characters. With this feature in mind, software was developed based on an algorithm for generating MAC addresses using bidirectional neural networks, followed by integration of a decision support system module. A secondary feature of the developed software is the ability to set a MAC validity timeout, which will limit access to the network segment and increase the security factor.

DEVELOPMENT OF A DECISION SUPPORT SYSTEM FOR ANALYSIS OF EMERGENCIES ON URBAN TRANSPORT

The article discusses some aspects of the design of a decision support system (DSS) module during the analysis of major accidents or emergencies in urban transport in large cities, megalopolises, as well as in Smart City. It is shown that the computational core of such a DSS can be based on the methods of cluster analysis (CA). It is shown that the implementation of even basic spacecraft algorithms in the computational core of the DSSS allows an iterative search for optimal solutions to prevent a large number of emergencies in urban transport by establishing characteristic signs of accidents and emergencies and measures of proximity between two objects. It is shown that such a toolkit as DSS can provide all interested parties with a scientifically grounded classification of multidimensional observations, which summarize the set of selected indicators and make it possible to identify internal connections between emergencies in urban transport. The DSS module for analyzing emergencies in urban transport is described. It has been found that to solve such a problem, it is possible to use the "weighted" Euclidean distance in the computational core of the DSS. It is this parameter that makes it possible to take into account the significance of each characteristic of emergency situations in urban transport, which, in turn, will contribute to obtaining reliable analysis results. It is shown that the spacecraft methods can also be in demand when, along with the analysis of emergency situations in urban transport, problems of designing and reconstructing the configurations of urban street-road networks are solved in parallel. This task, in particular, requires an analysis phase (not least using CA methods) in order to minimize unnecessary uncompensated costs in the event of errors in the road network. When solving such a problem, sections of the urban street and road network are analyzed in order to identify problem areas that need reconstruction or redevelopment. The use of CA methods in such conjugate problems is due to the absence of a priori hypotheses regarding the classes that will be obtained as a result.

DIAGNOSTIC SYSTEM OF PERCEPTION OF NAVIGATION DANGER WHEN IMPLEMENTATION COMPLICATED MANEUVERS

Context. The article focuses on the question of automated decision-making analysis made by the operator in ergatic systems of critical infrastructures on the example of marine transport control in difficult navigation conditions. It is evident enough that the main criterion for an adequate perception of input information done by an operator is highly likely to predict the choice of behavioral decision-making strategies in discrete time conditions. However, the difficulty of modeling the operator’s actions is found to be lying in non-linear pattern of taking definite decisions in emergency situations and deviations from the Codes and Rules.Objective. The research purpose strategy of conducted investigation can be defined as the development of the mathematical platform for a decision support system (DSS) module with an aim to identify the class-forming set of atomic elements. In particular this issue determines the fact of distortion of the perception of information about navigation risks predicting the operator’s behavior pattern while having vessel running process. This is possible to have it depicted through formal analysis.Method. To capture the analysis of danger perception by the operator the paper introduces a mathematical model of data collection which identifies the fact of perception distortion in the form of attribute space of metadata obtained by the method of converting information from navigation devices. Besides, the factor of disorientation of the operator can be considered to be a shift on a displaced bridge which significantly affects on the analysis of information for adequate decision making. In addition, taking into account the failure of navigation equipment such as: RADAR, ARPA, AIS, ECDIS, especially while doing exit from the automatic control mode, a dangerous precedent can possibly be created for the operator not ready to perceive the complexity of the situation. To make it work a formal analysis was carried out using the extending risks possibility level tasks during the transition under these conditions. In addition to this item, a probabilistic model of perceiving the situation under the conditions of the error set is reported to have been constructed. So, as the result, the modeling process turned out to show the definite evidence of getting no way possibility to have the degree of criticality of the navigation situation determined without a clear identification of factors affecting the distortion of perception of the operator. Nevertheless, generalized statistical data are sure to be not enough and there is a special need of taking into account an individual information model of each operator for the effective work of DSS as this process faces real challenges. It must be significantly noticed that in order to analyze the perception of information by the operator a special test for defining preferences when choosing a strategy of control actions in the form of maneuvering under difficult navigation conditions purpose was created. Regarding the test results, as well as data on the passage of locations, certain attention is advised to be drawn to the classification analysis of 15 parameters using artificial neural networks having been carried out by our team and, as a consequence, the boundaries of deviations in the perception of navigational danger were found out and clarified. Additional superior item to be spoken about is certainly the introduction of rules and algorithms having been welcomed into the DSS core including the following: interaction field, RADAR and NIS synchronization tools; actual navigational hazard in a given cartographic area; ships trajectories and, as a result, simulations of probable deviations in the information perception of the operator.Results. In order to meet beneficial agreement between the effectiveness of the developed DSS with the proposed formalanalytical approaches an experiment was assumed to be appropriate to be conducted using the Navi Trainer 5000 navigation simulator (NTPRO 5000). Based on the foregoing, due to comprehensive results in experiment metadata for the 2.5 years of operation of navigation simulators and DSS software tools the identification of the deviation probabilities in the information perception of dangers was achieved and export the predicted data to new locations for the operator and cartographic areas was performed. Undoubtedly, the experimental investigation confirmed the hypothesis of the study and reflected completely the feasibility of using this DSS to make predictions of possible risks when control the vessel by analyzing the information model of the operator.Conclusions. Formal-analytical approaches presented in the study combined with the developed DSS software tools and the information itself made it possible to classify the decision-making strategies of the operator when control the vessel and to predict the probability of catastrophic consequences. The feasibility of the proposed models and methods was successfully revealed by carried out experiments.

Decision Support System Module for Sustainable Land Development for Thailand: A Case of Chonburi Province

A decision support system (DSS) module for sustainable land development for Thailand: A case of Chonburi province was developed for decision makers based on available geographic information databases and overlaying techniques available on an internet network. Chonburi province in the Southeast Coast of Thailand was assigned as a special economic development zone or Eastern Economic Corridor (EEC) is a fast growing area for industrial and infrastructure developments causing land use conflicts between privates and governments that were observed elsewhere. Databases including administrative boundary, land resources, land uses, national policies and legislation aspects were integrated for land suitability, condition and limitation for land developments. The system employed ArcGIS Geo-processing service module available on the Central Relation Database that can be accessed via Web Services and RSS. The decision makers could access from the Web Browser and make decision under three conditions, by screening areas for specific land use types, analyzing land use limitations and conditions or for maximum land use benefits. The developed DSS module on land resources spatial analysis and legislation limitations would be a simple technological tool to preliminary and fast selection of proper land managements in the future and would be able to apply in other parts of the country.

Development of Automated Devices for the Monitoring of Insect Pests

The monitoring of insect pests based on adult trapping systems is part of integrated pest management (IPM) in many crops and of early warning detection programs used to set up appropriate management decisions or eradication responses. Using data obtained from traps to make management decisions is not an easy task and involves significant costs in equipment, transport and labour. Thanks to the spread and the low prices of information and communication technologies, innovative automated capture devices including electronic sensors and connecting components are increasingly being developed, allow facing some of the current monitoring constraints in a context of IPM. In this paper, we illustrated the state of the art of this field and provide insights on automated devices, consisting of traps equipped with sensors and other components for the collection of data in the field and their transmission to a remote server accessible online, with information stored in geo-referenced databases. Optical sensors are mainly used for detecting photo-interruptions, images or optoacoustic spectrum of wingbeats. The monitoring systems can be equipped with software for image interpretation and identification of the caught target insect pest (fully automated system) or a remote operator can count the trapped insects by watching the images coming from the e-trap (semi-automated system). The software can integrate a decision support system (DSS) module, which provides information on the risk of infestation and the actions to be taken (when, where, how to make a control application). The development and future prospects of automated devices are discussed in relation to the technical reliability of the system, ease of use and costs compared to traditional monitoring methods.

Handling conflicts over the regulation of project's time-cost risks via a simulation-based decision-making support system module

Project management must consider tradeoffs of risks regarding performance, time, and cost. These tradeoffs may often cause conflicts between the project stakeholders. When decision outcomes are ambiguous and time is pressing, decision-makers may use controversial conflict resolution strategies that are often detrimental, changing conflicts that have constructive potential into those that are unhealthy. We propose a simulation-based DMSS module that can be used to quickly analyse the risks of alternative project plans. Its implementation can reduce the usage of controversial conflict resolution strategies and focus, instead, on one of the cooperation strategies that can enhance performance and well-being at work. Whereas meeting technical specifications is a non-negotiable demand, we can make do with a two-dimensional tradeoffs model - consider tradeoffs between time and cost risks. Thirteen of 17 implementations of the DMSS module hinted that this tool may be beneficial in preventing conflict escalations (a numerical example is given).

Handling conflicts over the regulation of project's time-cost risks via a simulation-based decision-making support system module

Project management must consider tradeoffs of risks regarding performance, time, and cost. These tradeoffs may often cause conflicts between the project stakeholders. When decision outcomes are ambiguous and time is pressing, decision-makers may use controversial conflict resolution strategies that are often detrimental, changing conflicts that have constructive potential into those that are unhealthy. We propose a simulation-based DMSS module that can be used to quickly analyse the risks of alternative project plans. Its implementation can reduce the usage of controversial conflict resolution strategies and focus, instead, on one of the cooperation strategies that can enhance performance and well-being at work. Whereas meeting technical specifications is a non-negotiable demand, we can make do with a two-dimensional tradeoffs model - consider tradeoffs between time and cost risks. Thirteen of 17 implementations of the DMSS module hinted that this tool may be beneficial in preventing conflict escalations (a numerical example is given).

Family and friendship support networks among retirees

PurposeThe purpose of this paper is to provide an empirical analysis of factors that affect support networks among retirees in 13 countries.Design/methodology/approachIt examines two propositions drawing from support network theory and the classification of countries by welfare systems. It uses fixed‐effect causal models to examine how retirement and socio‐demographic variables influence kinship and friendship support networks. Data are drawn from the Social Relations and Support Systems module of the International Social Survey Programme 2001.FindingsThe results show that retirees' friendship‐based support networks are almost one‐third smaller than those of working persons. Furthermore, this difference is greater in welfare systems that spend more on social well‐being.Research limitations/implicationsHowever, the relationship between informal support networks and welfare systems is complex, which indicates a need to further the debate on the co‐existence of formal and informal aid systems.Originality/valueThis study's main sociological confirmation is that the relationship between the size of support networks and the type of welfare system is irregular and complex. The results make a significant contribution to the debate on the relationship between formal and informal care among a group of people during a critical life‐cycle phase, such as retirement.

A decision-making support system module for project manager selection according to past performance

This paper proposes a decision-making support system (DMSS) module for selecting project managers and demonstrates its implementation. The selection of a new project manager is based mainly on the past performance of potential managers, for example, on the relative performance evaluations they have received on projects managed by them in the past. Past projects are ranked in accordance with a ranking method. Project managers are ordered according to past project rank. The difference in quality between the past performance of the candidates is statistically examined using the Mann–Whitney–Wilcoxon U test. This enables the establishment of a subgroup of one or more preferred candidates, where the significance level of the statistical test has an impact on the subgroup size. The final candidate may be selected from this subgroup according to personal qualifications and suitability for the specific project. We demonstrated the use of such a DMSS module by an Israeli information technology company as part of their process to select a project manager. A ranking method within the Data Envelopment Analysis context (the Cross-Efficient method) was implemented with three inputs and four outputs selected for the project ranking.

Welfare Systems, Support Networks and Subjective Well-Being Among Retired Persons

In this article welfare systems and support networks are empirically analyzed to determine which generate the highest level of subjective well-being among retired persons. Propositions derived from support network theories and national welfare system typologies have been analyzed using causal models that indicate the influence of the various welfare systems and support networks on subjective well-being. The data was taken from the Social Relations and Social Support Systems module of the 2001 International Social Survey Program. The results indicate that liberal welfare systems generate the highest level of subjective well-being. This correlates with a lower degree of confidence in the welfare state, greater interpersonal trust and greater belief in individuals and their capacity to secure their own well-being. In the sphere of material well-being the subjective well-being of individuals is affected by a greater trust in people than in the state.

Mathematical and Computer Simulation of the Biological Life Support System Module 2/2. Verification of the model and scenarios

The mathematical model (Gubanov et al., 2009) was constructed to estimate the functioning pattern of the biological life support system (BLSS) experimental module (Tikhomirov et al., 2003a, 2003b) and its controllability. The soillike substrate (SLS) lies in the basis of this BLSS. SLS is result of successive processing of straw cereals (wheat, rice, etc.) by fungus Pleurotus ostreatus and worms Eisenia foetida. The Journal of Siberian Federal University. Biology 4 (2009 2) 481-496 ~ ~ ~

Mathematical and Computer Simulation of the Biological Life Support System Module 1/2. Description of the model

Received 7.12.2009, received in revised form 14.12.2009, accepted 21.12.2009 The mathematical model based on kinetic coefficients and dependencies obtained during the experiments was constructed to estimate the character of functioning of the experimental module of biological life support system (BLSS) and the possibilities of its controlling. The mathematical model consists of two compartments - the 'phytotron' model (with wheat and radish) and the 'mycotron' model (for mushrooms). The following components are included into the model: edible mushrooms (mushroom fruit bodies and mycelium); wheat; radish; straw (processed by mycelium); dead organic matter in the phytotron (separately for the wheat unit and for the radish unit); worms; wormscoprolites; vermicompost used as a soil-like substrate (SLS); bacterial microflora; mineral nitrogen, phosphorus and iron; products of the system intended for humans (wheat grains, radish roots and mushroom fruit bodies); oxygen and carbon dioxide. At continuous gas exchange, the mass exchange between the compartments occurs at the harvesting time. The conveyor character of the closed ecosystem functioning has been taken into account - the number of culture age groups can be controlled (in experiments and in the model - 4 and 8 age groups). The conveyor cycle duration can be regulated as well. The module was designed for the food and gas exchange requirements of 1\30 of a virtually present human. The model estimates the values of all dynamic components of the system under various conditions and modes of functioning, especially those, which are difficult to be realized in the experiment. The model allows dynamic calculation of biotic turnover closedness coefficient for main considered elements. The coefficient of matter biotic cycle closure for systems based on matter supplies has been formalized.

Computer-Integrated System for Estimating the Costs of Building Projects

The cost estimate is considered one of the most important and critical phases of a construction project. Preparing reliable and accurate estimates to help decision makers is the most challenging assignment that cost engineers and estimators face. For decades, practitioners in the construction industry focused only on estimating the initial cost of a facility, neglecting costs associated with operating and maintaining it. Today, more interest lies in investigating the economics of facility management, which include the cost of owning and operating a building over its useful life. This paper presents a methodology that can be used for an integrated conceptual cost estimating and life-cycle cost analysis for construction projects during their initial phase. The methodology describes the development and implementation of a system that automates the preparation of parametric cost estimates and forecasts future running costs of building projects. The system integrates relational databases, a parametric cost estimate module, an AutoCAD module, a global module, a cost estimate forecasting and decision support system module, and a life cycle costing and sensitivity analysis module. The system will automatically generate a new parametric estimate upon any modification in building design. Once the capital costs are identified, the system forecasts the cost of running and maintaining the new building throughout its expected service life. After assigning the range of deviation, a sensitivity analysis is conducted, which identifies the most sensitive parameters for further consideration and analysis. Designing the system in a user-friendly environment allows owners and decision makers to envision the feasibility of new building projects within their anticipated life cycles. Moreover, it assists architects and cost engineers in generating parametric cost estimates in a dynamic environment. A numerical case example is presented to illustrate the usefulness and capabilities of the developed system.

Decision support systems generator for industrial companies Module I: Product design support system

In this work we present the architecture of a product design support system. This system is part of a global decision support system generator that the GIDSATD is developing (Rico et al., 1997). In first place, we describe the strategy utilized to organize the product information. In second place, we present an object oriented analysis and design of the product design support system module.

An intelligent decision system for a modern manufacturing system

Abstract Due to the dynamic characteristic shown in manufacturing systems, production efficiency is not easily maintained as we plan, especially when an abnormal situation (e.g. machine breakdown, rush order, etc.) occurs. An intelligent decision system for a modern manufacturing system is presented in this paper. This system integrates artificial intelligence, optimization techniques, and simulation to solve the above-mentioned problems. Three modules are included in the system, namely a decision centre, decision support system and decision analysis module. Event graphs are adopted to describe the decision-making logic for the decision centre which is the core of the system. An example concerning machine breakdown is given.

THE FLIGHT HARDWARE AND GROUND SYSTEM FOR HUBBLE SPACE TELESCOPE ASTROMETRY

ABSTRACT An account is presented of the Fine Guidance Sensor (FGS) which furnishes guidance and astrometry in the HST, giving attention to its interferometric design and its astrometric performance capabilities, the astrometric observing modes and software commands used in their implementation, and expected HST states with regard to line-of-sight jigger, drift, and guidance mode during a given observation. FGS operational modes discussed encompass support-system module control, search, coarse track, fine lock, line-of-sight scan, and stop. In astrometric measurements, relative positional accuracies of the order of 0.003 arcsec are achievable; precise parallaxes, detection thresholds for planetary companions of nearby stars, and kinematic characterizations of star clusters will be facilitated thereby.