scholarly journals Development of Decision Support System Based on the Bayes ARD Algorithm for Irrigation of Cotton

Author(s):  
Dimitriοs LEONIDAKIS ◽  
Evangelos PSOMAKELIS ◽  
Christoforos Nikitas KASIMATIS ◽  
Nikolaos KATSENIOS ◽  
Ioanna KAKABOUKI ◽  
...  

Cotton is a plant, which is mainly cultivated in regions where the irrigation is necessary as rainwater is not adequate. Researches in the recent years have showed that the irrigation water used could be declined. Improvements in the technological field has made Decision Support Systems combined with Neural Networks and data analysis, an important tool of sustainable agriculture. Cotton producers need to reduce irrigation water needs and that can be achieved by using new technologies. The development Decision Support System was conducted, having 3 different types of input. Data derived from a variety of IoT sensors, weather stations, and on-site measurements (yield and ΕΜ38) derived from 3 fields in Greece, creating a dataset of 9 different inputs. A total of 13 different algorithms were tested and evaluated in order to determine which one is the ideal for our dataset. The adoption of this technology in real data predicted the reduction of the irrigation times, ensuring that there will be no losses in the final yield.

Mathematics ◽  
2021 ◽  
Vol 9 (15) ◽  
pp. 1773
Author(s):  
Bogdan Walek ◽  
Ondrej Pektor ◽  
Radim Farana

This paper describes a novel approach in the area of evaluating suitable job applicants for various job positions, and specifies typical areas of requirement and their usage. Requirements for this decision-support system are defined in order to be used in middle-size companies. Suitable tools chosen were fuzzy expert systems, primarily the inference system Takagi-Sugeno type, which were then supplied with implementation of methods of variant multi-criteria analysis. The resulting system is a variable tool with the possibility to simply set the importance of individual selection criteria so that it can be used in various situations, primarily in repeated selection procedures for similar job positions. A strong emphasis is devoted to the explanatory module, which enables the results of the expert system to be used easily. Verification of the system on real data in cooperation with a collaborating company has proved that the system is easily usable.


2001 ◽  
Vol 28 (3) ◽  
pp. 394-401 ◽  
Author(s):  
Tariq Shehab-Eldeen ◽  
Osama Moselhi

The condition of sewer pipes in North America has severely deteriorated, over the last few decades, creating a need for rehabilitation. Sewer rehabilitation methods are numerous and are constantly being developed, benefiting from emerging technologies. The implementation of these methods is driven by the need to improve quality and to reduce cost and project duration. One of the rapidly expanding fields in the sewer rehabilitation industry is trenchless technology. Due to the large number of methods associated with emerging new technologies in this field, selecting the most suitable method can be a challenging task. Selection in this environment, without a computerized tool, may also suffer from the limited knowledge and (or) experience of the decision-maker and could result in overlooking some of the suitable methods that could do the job at less cost. This paper describes a recently developed system for rehabilitation of concrete and clay sewer pipes and focuses primarily on two of its components: (i) the database management system (DBMS) and (ii) the decision support system (DSS). The system can assist municipal engineers and contractors in selecting the most suitable trenchless rehabilitation technique that specifies job conditions and user requirements. An example application is presented to demonstrate the use and capabilities of the developed system.Key words: pipe defects, rehabilitation, sewer pipes, database management systems, decision support systems, multi-attribute utility theory.


2009 ◽  
Vol 21 (2) ◽  
pp. 77-84
Author(s):  
Ibrahim M. Al-Harkan ◽  
Mohammed N. Azaiez ◽  
Moncer A. Hariga ◽  
Abdulrehman A. Alazba ◽  
Mohammed A. Al-Fawzen

Author(s):  
Alaa Khalaf Hamoud ◽  
Marwah Kamil Hussein ◽  
Zahraa Alhilfi ◽  
Rabab Hassan Sabr

<span>Decision makers in the educational field always seek new technologies and tools, which provide solid, fast answers that can support decision-making process. They need a platform that utilize the students’ academic data and turn them into knowledge to make the right strategic decisions. In this paper, a roadmap for implementing a data driven decision support system (DSS) is presented based on an educational data mart. The independent data mart is implemented on the students’ degrees in 8 subjects in a private school (Al-Iskandaria Primary School in Basrah province, Iraq). The DSS implementation roadmap is started from pre-processing paper-based data source and ended with providing three categories of online analytical processing (OLAP) queries (multidimensional OLAP, desktop OLAP and web OLAP). Key performance indicator (KPI) is implemented as an essential part of educational DSS to measure school performance. The static evaluation method shows that the proposed DSS follows the privacy, security and performance aspects with no errors after inspecting the DSS knowledge base. The evaluation shows that the data driven DSS based on independent data mart with KPI, OLAP is one of the best platforms to support short-to-long term academic decisions.</span>


2020 ◽  
Vol 1 (3) ◽  
pp. 252
Author(s):  
Ardi Kusuma ◽  
Garuda Ginting

Pharmacists are professional workers who have basic education and skills in the field of pharmacy and are given the authority and responsibility to carry out pharmaceutical work. In the pharmaceutical industry, both those that have been operating and are about to be established, there must be at least 3 (three) Indonesian pharmacists. Decision Support System (SPK) has the aim of providing predictions, providing information and directing information users to be able to make decisions more effectively. Decision Support System (SPK) applications use a flexible, interactive and adaptable CBIS (Computer Based Information System) that was developed to support solutions to specific unstructured management problems. The VIKOR method is used to overcome the problem of complex multi-criteria systems that focus on ranking and selection of alternatives. The first proposed procedure calculates the ideal and negative solutions by considering the criteria and weights of each alternative, and the corresponding utility.


2021 ◽  
pp. 22-36
Author(s):  
П.В. Терелянский ◽  
А.В. Троицкий ◽  
С.И. Ашмарина ◽  
А.В. Балановская ◽  
К.В. Раев ◽  
...  

Одним из ключевых направления трансформации системы образования становится развитие цифровой инфраструктуры вузов, что требует полного преобразования бизнес-процессов университета, с использованием новых технологий. Это позволит осуществить качественный скачок продуктивности работы университета, привлечение новых инвестиций, сокращение издержек на различные дублирующие процессы. Целью этих усилий является создание и внедрение единой модели управления всеми коммуникациями в вузе. С технологической точки зрения такая модель должна включать в себя организационно-административные решения, логически увязанные с глобальной информационной системой, представляющей собой систему поддержки принятия решений советующего типа. Все это должно представлять собой единое кросс-платформенное решение, с возможностью автоматизации любых бизнес-процессов университета, включающее информатизацию вузовского документооборота, организацию научно-исследовательской деятельности в едином модуле подготовки бухгалтерской и ведомственной отчетности, создание виртуальной приемной комиссии и служб деканатов, увязанных с мобильным многофункциональным центром контроля успеваемости и поддержки социальных проектов для студенчества, модуль онлайн-занятий и конференций, а также конструктор образовательных программ для профессорско-преподавательского состава. Ключевые слова цифровая трансформация; дистанционное обучение;стратегия информатизации; система управления проектами; цифровая платформа; система коммуникаций вуза;единое информационное пространство; система поддержки принятия решений. One of the key areas of transformation of the education system is the development of digital infrastructure of universities, which requires a complete transformation of the university's business processes, using new technologies. This will make it possible to make a qualitative jump in the productivity of the university, attract new investments, and reduce costs for various duplicate processes. The purpose of these efforts is to create and implement a single model for managing all communications at the university. From a technological point of view, such a model should include organizational and administrative decisions logically linked to the global information system, which is a decision support system of the advisory type. All this should be a single cross-platform solution, with the ability to automate any business processes of the university, including informatization of university document circulation, organization of research activities in a single module for preparing accounting and departmental reports, Creation of a virtual admissions commission and services of deaneries linked to a mobile multifunctional center for monitoring academic performance and supporting social projects for students, a module of online classes and conferences, as well as a designer of educational programs for faculty. Keywords digital transformation; distance learning; informatization strategy; project management system; digital platform; university communications system; a single information space; decision support system.


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