scholarly journals A Decision Support System Web—Application for the Management of Forest Road Network

2018 ◽  
Vol 7 (1) ◽  
Author(s):  
Apostolos Kantartzis ◽  
Chrisovalantis Malesios
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Web Application ◽  
Road Network ◽  
Forest Road

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

2021 ◽  
Vol 12 (4) ◽  
pp. 6-18
Author(s):  
Valerii Lakhno ◽  
Borys Husiev ◽  
Andrii Blozva ◽  
Andrii Sahun ◽  
Tetiana Osypova ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Road Network ◽  
A Priori ◽  
Urban Transport ◽  
Urban Street ◽  
The Road ◽  
Emergency Situations ◽  
Transport Problems

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.

scholarly journals Implementasi Multi Factor Evaluation Process untuk Penentuan Tempat Pembuangan Akhir Berbasis Web Aplication

2020 ◽  
Vol 4 (2) ◽  
pp. 103-111
Author(s):  
Rahmat Hidayat ◽  
◽  
Ade Irmayanti ◽  
Muhammad Tommy ◽  
◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Web Application ◽  
Evaluation Process ◽  
Disposal Site ◽  
Prototype Model ◽  
Initial Weight ◽  
Final Disposal ◽  
Factor Evaluation

Determining the final waste disposal site is a complex problem for Lamandau Regency, which is a developing district, the more people there are every year, the more waste is produced. However, determining the location is still done subjectively without considering the influencing factors and is still manual. In problems like this, the decision support system can be used as a solution to help make decisions. This study aims to implement a decision support system in determining the final disposal site using the Multi-Factor Evaluation Process (MFEP) method which is applied in the form of a Web Application using a prototype model. In determining the final disposal site, there are 5 criteria to be assessed, namely: Cover Land with an initial weight of 0.2, Rain Intensity with an initial weight of 0.1, Nature Reserve with an initial weight of 0.2, Agriculture with an initial weight of 0.3 and Entrance roads with an initial weight of 0.2, and the number of alternatives consists of 5 locations. The findings show that the error rate of this system is below 5%. After testing all modules or system components, all of them were successful and feasible to be used as a tool in determining the final place of development.

scholarly journals Decision Support System for the Production of Miscanthus and Willow Briquettes

Energies ◽  
2020 ◽  
Vol 13 (6) ◽  
pp. 1364 ◽  
Author(s):  
Sławomir Francik ◽  
Adrian Knapczyk ◽  
Artur Knapczyk ◽  
Renata Francik
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Web Application ◽  
Modular Design ◽  
Renewable Energy Sources ◽  
Decision Support Tool ◽  
Total Energy Consumption ◽  
Support Tool ◽  
Energy Demands

The biomass is regarded as a part of renewable energy sources (RES), which can satisfy energy demands. Biomass obtained from plantations is characterized by low bulk density, which increases transport and storage costs. Briquetting is a technology that relies on pressing biomass with the aim of obtaining a denser product (briquettes). In the production of solid biofuels, the technological as well as material variables significantly influence the densification process, and as a result influence the end quality of briquette. This process progresses differently for different materials. Therefore, the optimal selection of process’ parameters is very difficult. It is necessary to use a decision support tool—decision support system (DSS). The purpose of the work was to develop a decision support system that would indicate the optimal parameters for conducting the process of producing Miscanthus and willow briquettes (pre-comminution, milling and briquetting), briquette parameters (durability and specific density) and total energy consumption based on process simulation. Artificial neural networks (ANNs) were used to describe the relationship between individual parameters of the briquette production process. DSS has the form of a web application and is opened from a web browser (it is possible to open it on various types of devices). The modular design allows the modification and expansion the application in the future.

An Environment for Guidelinebased Decision Support Systems for Outpatients Monitoring

2017 ◽  
Vol 56 (04) ◽  
pp. 283-293 ◽  
Author(s):  
Giordano Lanzola ◽  
Paolo Bossi ◽  
Silvana Quaglini ◽  
Elisa M. Zini
Keyword(s):  
Decision Support ◽  
Side Effects ◽  
Decision Support System ◽  
Mobile Devices ◽  
Support System ◽  
Mobile Application ◽  
Web Application ◽  
Mobile Technologies ◽  
Specific Patient ◽  
Patient Reported

SummaryObjectives: We propose an architecture for monitoring outpatients that relies on mobile technologies for acquiring data. The goal is to better control the onset of possible side effects between the scheduled visits at the clinic.Methods: We analyze the architectural components required to ensure a high level of abstraction from data. Clinical practice guidelines were formalized with Alium, an authoring tool based on the PROforma language, using SNOMED-CT as a terminology standard. The Alium engine is accessible through a set of APIs that may be leveraged for implementing an application based on standard web technologies to be used by doctors at the clinic. Data sent by patients using mobile devices need to be complemented with those already available in the Electronic Health Record to generate personalized recommendations. Thus a middleware pursuing data abstraction is required. To comply with current standards, we adopted the HL7 Virtual Medical Record for Clinical Decision Support Logical Model, Release 2.Results: The developed architecture for monitoring outpatients includes: (1) a guideline-based Decision Support System accessible through a web application that helps the doctors with prevention, diagnosis and treatment of therapy side effects; (2) an application for mobile devices, which allows patients to regularly send data to the clinic. In order to tailor the monitoring procedures to the specific patient, the Decision Support System also helps physicians with the configuration of the mobile application, suggesting the data to be collected and the associated collection frequency that may change over time, according to the individual patient’s conditions. A proof of concept has been developed with a system for monitoring the side effects of chemo-radiotherapy in head and neck cancer patients.Conclusions: Our environment introduces two main innovation elements with respect to similar works available in the literature. First, in order to meet the specific patients’ needs, in our work the Decision Support System also helps the physicians in properly configuring the mobile application. Then the Decision Support System is also continuously fed by patient-reported outcomes.

scholarly journals Data mining applied for national road maintenance decision support system

2018 ◽  
Vol 195 ◽  
pp. 04007
Author(s):  
Andri Irfan Rifai ◽  
Susanty Handayani ◽  
Ronal Al Rasyid
Keyword(s):  
Data Mining ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Road Network ◽  
Pavement Management ◽  
Geographical Information ◽  
Road Maintenance ◽  
Proposed Model ◽  
National Road

National roads are one of the main networks of a country’s transportation system. To maintain the performance level of national roads requires a well-structured pavement management system (PMS). The decision support system (DSS) is inseparable in the modern PMS, which required the development of a new approach for the DSS in support of national road network maintenance. The proposed model integrates data mining (DM) and geographical information system (GIS) to construct a simple DSS. DM is used to developed road maintenance optimization models, and then integrated with DSS with the help of GIS as an interface application. Historical data on the national road network in West Java, Indonesia is used as a case study. Examples show that the proposed model can determine a decision support solution efficiently. In addition, a userfriendly computer interface is developed so that PMS stakeholders can plan pavement maintenance simply and effectively.

scholarly journals Decision support system for street-road network objects repair

2021 ◽  
Vol 1159 (1) ◽  
pp. 012025
Author(s):  
Yu E Vasiliev ◽  
M A Fineeva ◽  
A B Belyakov ◽  
S V Varshavsky ◽  
A A Caesar
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Road Network

scholarly journals Clinical decision support system RHINA in the diagnosis and treatment of acute or chronic rhinosinusitis

2021 ◽  
Author(s):  
Libor Hart ◽  
Alexandra Polášková ◽  
Petr Schalek
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Clinical Decision Support ◽  
Support System ◽  
Web Application ◽  
Clinical Decision Support System ◽  
Bacterial Resistance ◽  
Clinical Decision ◽  
Diagnosis And Treatment ◽  
Upper Respiratory Tract

Abstract Background: Rhinosinusitis is an inflammation of the sinonasal cavity which affects roughly one in seven people per year. Upper respiratory tract infection (RTI) is mostly, apart from allergic etiology, caused by a viral infection and, in some cases (0.2 - 2 %), by a bacterial superinfection. Antibiotics, indicated only in rare cases according to EPOS guidelines, are nevertheless prescribed in more than 80% of ARS cases, which increases the resistant bacterial strains in the population. Methods: We have designed a clinical decision support system (CDSS), RHINA, based on a web application created in HTML 5, using JavaScript, jQuery, CCS3 and PHP scripting language. The presented CDSS RHINA helps general physicians to decide whether or not to prescribe antibiotics in patients with rhinosinusitis.Results: In a retrospective study of a total of 1,465 patients with rhinosinusitis, the CDSS RHINA presented a 90.2% consistency with the diagnosis and treatment made by the ENT specialist. Conclusion: Patients assessed with the assistance of our CDSS RHINA would decrease the over-prescription of antibiotics, which in turn would help to reduce the bacterial resistance to the most commonly prescribed antibiotics.

scholarly journals Perancangan Aplikasi Penentuan Produksi Karet Pada PTPN 3 Kebun Sei Silau Dengan Menggunakan Metode Fuzzy Mamdani

2018 ◽  
Vol 2 (1) ◽  
pp. 32
Author(s):  
Wanayumini Wanayumini ◽  
Devy Pratiwi
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Production Process ◽  
Support System ◽  
Web Application ◽  
Dark Light ◽  
Rubber Production ◽  
A Value ◽  
Process System ◽  
Good For

Abstract - This web application makes it easy for admin to handle rubber production without manually doing a tester. Good rubber production based on fuzzy mamdani is: Heat temperature with a value of -0.6 °, with rubber droplet conditions that are good for the production process. Dry air humidity with a value of -0.4%, with rubber droplets that are good for the production process. Intensity Dark light with a value of 0, rubber droplet conditions that are good for the production process. System decision support system that determines a decision to manage and analyze the work clearly. There are several things that weaken the competitiveness of rubber production including rubber processing is still done simply or manually, with the application of the Fuzzy Mamdani Method is expected to increase rubber production. Keywords - Rubber, Decision Support System, Fuzzy Mamdani Method

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