MODELS FOR DESCRIBING AND SUPPORTING AUTOMATED SYSTEM SCENARIOS

2020 ◽  
pp. 18-22
Author(s):  
В.П. Хранилов ◽  
П.В. Мисевич ◽  
А.Э. Ермилов
Keyword(s):  
Fuzzy Logic ◽  
Life Cycle ◽  
Automated System ◽  
Just In Time ◽  
Success Factor ◽  
Situational Analysis ◽  
Frame Model ◽  
Information Logistics ◽  
The Right ◽  
The Mathematical Model

В статье представлены модели описания сценариев функционирования автоматизированных систем (АС). Вводится и анализируется категория "жизненный цикл сценариев АС". Наиболее важными этапами жизненного цикла сценария являются следующие: этап формирования событийного набора для формирования сценария, этап выполнения последовательности сценарных событий и этап ситуационного анализа внешней и внутренней среды события. В статье предложена математическая модель функционирования АС, которая используется для поддержки этапа выполнения последовательности сценарных событий и основана на принципе информационной логистики: каждый параметр (набор данных) находится в нужном месте в АС, "точно в срок" и в нужном формате. Для поддержки ситуационного анализа предлагается модифицированная фреймовая модель. Ситуационный анализ используется для разработки алгоритмов событий и определения следующего события в сценарии. Модифицированная фреймовая модель основана на использовании нечетких логических процедур в фреймовой сети. The paper presents models for describing the operating scenarios of automated systems. The authors introduce and analyze the category “the life cycle of automated system scenarios”. The life cycle consists of a sequence of stages. The leading success factor of any scenario is the support of the scenario during all stages of its life cycle. The most important stages of the scenario life cycle are the following: the stage of forming the event set for generating the scenario, the stage of performing the sequence of scenario events and the stage of situational analysis of the external and internal environment of the event. In the article it is proposed to use a theoretical set model in order to select an element from a set of alternatives. The elements are events for designing a scenario. The model uses fuzzy logic and is based on the process of controlling an array of parameters if variants are available. The model is used to support the stage of forming a set of events for generating the scenario. The mathematical model of automated system operation which is used to support the stage of performing the sequence of scenario events is suggested in the article. The model is based on the principle of information logistics: each parameter (a set of data) is in the right place in the automated system, ‘just-in-time’ and in the required format. A modified frame model is proposed to support situational analysis. The situational analysis is used to operate the event algorithms and to determine the next event in the scenario. The modified frame model is based on the use of fuzzy logic procedures in a frame network.

scholarly journals Reinforcement Learning to Send Reminders at Right Moments in Smartphone Exercise Application: A Feasibility Study

2021 ◽  
Vol 18 (11) ◽  
pp. 6059
Author(s):  
Shihan Wang ◽  
Karlijn Sporrel ◽  
Herke van Hoof ◽  
Monique Simons ◽  
Rémi D. D. de Boer ◽  
...  
Keyword(s):  
Reinforcement Learning ◽  
Physical Activities ◽  
Lessons Learned ◽  
Just In Time ◽  
Healthcare Intervention ◽  
Adaptive Intervention ◽  
Mobile Healthcare ◽  
Crucial Component ◽  
Application Data ◽  
The Right

Just-in-time adaptive intervention (JITAI) has gained attention recently and previous studies have indicated that it is an effective strategy in the field of mobile healthcare intervention. Identifying the right moment for the intervention is a crucial component. In this paper the reinforcement learning (RL) technique has been used in a smartphone exercise application to promote physical activity. This RL model determines the ‘right’ time to deliver a restricted number of notifications adaptively, with respect to users’ temporary context information (i.e., time and calendar). A four-week trial study was conducted to examine the feasibility of our model with real target users. JITAI reminders were sent by the RL model in the fourth week of the intervention, while the participants could only access the app’s other functionalities during the first 3 weeks. Eleven target users registered for this study, and the data from 7 participants using the application for 4 weeks and receiving the intervening reminders were analyzed. Not only were the reaction behaviors of users after receiving the reminders analyzed from the application data, but the user experience with the reminders was also explored in a questionnaire and exit interviews. The results show that 83.3% reminders sent at adaptive moments were able to elicit user reaction within 50 min, and 66.7% of physical activities in the intervention week were performed within 5 h of the delivery of a reminder. Our findings indicated the usability of the RL model, while the timing of the moments to deliver reminders can be further improved based on lessons learned.

scholarly journals UNRAVELLING DIABETIC RETINOPATHY THROUGH IMAGE PROCESSING, NEURAL NETWORKS AND FUZZY LOGIC – A REVIEW

2017 ◽  
Vol 10 (4) ◽  
pp. 32
Author(s):  
Srinivasan A ◽  
Sudha S
Keyword(s):  
Image Processing ◽  
Fuzzy Logic ◽  
Diabetic Retinopathy ◽  
Characteristic Curve ◽  
Area Under The Curve ◽  
Computation Time ◽  
Automated System ◽  
Morphological Operations ◽  
Advanced Stage ◽  
Sensitivity Specificity

One of the main causes of blindness is diabetic retinopathy (DR) and it may affect people of any ages. In these days, both young and old ages are affected by diabetes, and the di abetes is the main cause of DR. Hence, it is necessary to have an automated system with good accuracy and less computation time to diagnose and treat DR, and the automated system can simplify the work of ophthalmologists. The objective is to present an overview of various works recently in detecting and segmenting the various lesions of DR. Papers were categorized based on the diagnosing tools and the methods used for detecting early and advanced stage lesions. The early lesions of DR are microaneurysms, hemorrhages, exudates, and cotton wool spots and in the advanced stage, new and fragile blood vessels can be grown. Results have been evaluated in terms of sensitivity, specificity, accuracy and receiver operating characteristic curve. This paper analyzed the various steps and different algorithms used recently for the detection and classification of DR lesions. A comparison of performances has been made in terms of sensitivity, specificity, area under the curve, and accuracy. Suggestions, future workand the area to be improved were also discussed.Keywords: Diabetic retinopathy, Image processing, Morphological operations, Neural network, Fuzzy logic. 

scholarly journals Evaluating critical success factors and level of challenges in project life cycle (PLC)

2018 ◽  
Vol 7 (2.29) ◽  
pp. 67
Author(s):  
Sallaudin Hassan ◽  
Natasha Farhana ◽  
Siti Aishah ◽  
Siti Mahirah ◽  
Khairul Firdaus Jimisiah. J
Keyword(s):  
Life Cycle ◽  
Project Management ◽  
Critical Success Factors ◽  
Success Factors ◽  
Team Work ◽  
Success Factor ◽  
Critical Success Factor ◽  
Critical Success ◽  
Project Life Cycle ◽  
Project Life

This research aims to evaluate the Critical Success Factors (CSF) of project management and  to assess the level of challenges at each steps in Project Life Cycle (PLC). Five Independent Variable (IV)  is been selected as Critical Success Factors which is Leadership, Effective Communication, Teamwork,  Organization and Project Nature. There are four main stage in project which is Defining, Planning,  Executing and Closure. The scope of this research is on projects/events   conducted under Student  Development and Campus Life Style (SDCL). Five projects has been selected for assessment in this research.  Survey questionnaire is been used as primary data collection. LIKERT Scale is been used to rank the answer from respondents. 50 respondents are involve in this research. Data is analyzed by using SPSS version 21. Result shows that the most critical success factors in project is Team Work while the least Critical Success Factor is Leadership. Meanwhile, the most challenges stage in project management is Executing, while the least challenges stage is Defining. The finding in this research is considered important discovery. More efforts should be focus on identified Critical Success Factor and the most challenges stage in Project Life Cycle.  It is suggested that the scope of study to be extended to other universities or industries in future research.  

scholarly journals Support of Road Freight Transport Especially in North-East Part of Schengen Borders

2015 ◽  
Vol 2 (3) ◽  
pp. 101-104
Author(s):  
Romana Hricová
Keyword(s):  
Freight Transport ◽  
Point Of View ◽  
Border Crossing ◽  
The Other ◽  
Just In Time ◽  
North East ◽  
Other Hand ◽  
Road Freight ◽  
Points Of View ◽  
The Right

Green logistics is very attractive and request the point of view. Many companies try to be “green”, but on the other hand they also must be quick, be in right time in the right place and everything with as low costs as possible. So because of it, they use more road freight transport. Nowadays road freight transport is much expanded as transport companies prefer the possibility to operate just-in-time.  There are several advantages that give road freight transport the first place. Firstly, the truck can be prepared whenever, no matter what time is chosen.  Secondly, the flexibility and no more borders with customs control inside the Schengen Area make freight transport quicker. On the other hand, innovative approaches ask for environmental protection, which becomes one of the most important points of view.  If countries support this environmental friendly transport, this would be reflected in the transport prices which should make rail transport more interesting. Using the methodology in the manuscript was divided to three steps. The first step is to identify relevant questions related to border crossing. Next step is to elaborate a list of border problems, and the last step is an analysis of available data.  

scholarly journals Fuzzy logic based prediction of micronutrients demand for harumanis mango growth cycles

2021 ◽  
Vol 2107 (1) ◽  
pp. 012048
Author(s):  
W M Nooriman ◽  
A H Abdullah ◽  
N Abdul Rahim ◽  
Erdy Sulino Mohd Muslim Tan
Keyword(s):  
Fuzzy Logic ◽  
Mangifera Indica ◽  
Optimal Growth ◽  
Growth Stages ◽  
Moderate Amount ◽  
Application Timing ◽  
Logic Control ◽  
K Fertilizer ◽  
The Right ◽  
Fertilizer Solution

Abstract Harumanis is a famous green eating mango cultivar that has been commercially cultivated in Malaysia’s state of Perlis. A variety of nutrients are found in soil, all of which are necessary for plant growth. Micronutrients such as Nitrogen (N), Phosphorus (P), and Potassium (K) are essential for Harumanis mango (Mangifera Indica) to growth. The importance of soil fertility in achieving high plant productivity and quality cannot be overstated. It should be used in a moderate amount and in a balanced manner. Predicting appropriate nutrients and the right timing to satisfy the tree’s demands is critical. The aim of this study is to create for Harumanis mango a fuzzy logic-based system to analyse the results of soil tests for nitrogen (N), phosphorus (P), and potassium (K) in the Harumanis mango orchard. The interpreted data are used to estimate N-P-K nutrient levels and indicate the optimal fertilizer solution and application timing for each Harumanis growth stages. The system utilizes Fuzzy Logic Control (FLC) to predict the nutrients demand for Harumanis mango growth. Results shows the system able to calculate and predict values of required N-P-K fertilizer for optimal growth. Thus, assist farmers in predicting the proper amount of N-P-K to apply to Harumanis mango soil.

Optimization of Grease Dispensing Unit Using Fuzzy Logic Algorithm

2016 ◽  
Vol 852 ◽  
pp. 859-866
Author(s):  
Milind Havanur ◽  
A. Arockia Selvakumar
Keyword(s):  
Artificial Intelligence ◽  
Fuzzy Logic ◽  
Process Parameters ◽  
Environmental Conditions ◽  
Fuzzy Logic System ◽  
Automated System ◽  
Factors Affecting ◽  
Fuzzy Logic Algorithm ◽  
Optimal Quantity ◽  
Logic System

Grease dispensing unit is a well invented tool for greasing application which preserves health of operator working and ensures optimal quantity. There are fluctuations in the process of grease dispensing which is dependent on process parameters which make the grease dispensing. The properties of grease vary which depend on environmental conditions. In this paper the modeling of grease dispensing process using artificial intelligence method, fuzzy logic to optimize the flow of grease by considering the factors affecting the flow of grease and usage of automated system for grease dispensing process. The work involves usage of LabVIEW for modeling of fuzzy logic network Based on the results obtained a detailed discussions were made on how to implement the fuzzy logic system for optimization of flow of grease for the existing process. Further, the work also details the future scope of work that can be carried out.

scholarly journals Infestations Myxobolus sp. in Gills Koi (Cyprinus carpio) That No Clinical Symptoms

2020 ◽  
Vol 11 (1) ◽  
pp. 20-25
Author(s):  
Zulkifli ◽  
Novia Christi Prihartini
Keyword(s):  
Water Quality ◽  
Life Cycle ◽  
Clinical Symptoms ◽  
Water Quality Management ◽  
Ornamental Fish ◽  
Parasitic Diseases ◽  
North Sulawesi ◽  
Ornamental Fish Trade ◽  
The Right ◽  
Fish Trade

Ornamental fish trade between regions in Indonesia allows the transfer of disease, especially if the disease does not show clinical symptoms in fish traded. Koi fish in Tahuna, North Sulawesi, mostly come from the area of ​​East Java, which is one area with many cases of myxobolusis. In addition, the potential for parasitic diseases that come along when koi fish are brought between areas cannot be avoided, because the examination of parasites, especially Myxobolus sp. no longer listed in the regulation as a quarantine inspection requirement. The purpose of this study was to see the Myxobolus sp infestation that infected koi in Tahuna, North Sulawesi, although there were no clinical symptoms using conventional techniques and histopathology. The results of the examination showed Myxobolus spore infestation on the gills of the koi, although the amount was not much, both conventional and histopathological techniques. This shows that our level of awareness of the types of parasites that can infect fish is still lacking. Myxobolus sp is only transmitted through the spore stage back and forth; there is no horizontal or vertical transmission in fish or tubifex T worm populations. More knowledge regarding the life cycle of the Myxobolus sp. in order to obtain the right handling to deal with outbreaks, especially water quality management at the location of the cultivation.

Information Visualization and Policy Modeling

2014 ◽  
pp. 175-215
Author(s):  
Kawa Nazemi ◽  
Martin Steiger ◽  
Dirk Burkhardt ◽  
Jörn Kohlhammer
Keyword(s):  
Big Data ◽  
Life Cycle ◽  
Information Visualization ◽  
Policy Design ◽  
Reference Model ◽  
Main Idea ◽  
Human Interaction ◽  
The Political ◽  
Policy Modeling ◽  
The Right

Policy design requires the investigation of various data in several design steps for making the right decisions, validating, or monitoring the political environment. The increasing amount of data is challenging for the stakeholders in this domain. One promising way to access the “big data” is by abstracted visual patterns and pictures, as proposed by information visualization. This chapter introduces the main idea of information visualization in policy modeling. First abstracted steps of policy design are introduced that enable the identification of information visualization in the entire policy life-cycle. Thereafter, the foundations of information visualization are introduced based on an established reference model. The authors aim to amplify the incorporation of information visualization in the entire policy design process. Therefore, the aspects of data and human interaction are introduced, too. The foundation leads to description of a conceptual design for social data visualization, and the aspect of semantics plays an important role.

What, Why, Who, When, and How of Software Requirements

2014 ◽  
pp. 1-18 ◽  
Author(s):  
Linda Westfall
Keyword(s):  
Life Cycle ◽  
Software Development ◽  
Software Requirements ◽  
Development Life Cycle ◽  
Software Development Life Cycle ◽  
The Right

If software requirements are not right, companies will not end up with the software they need. This chapter discusses the various levels and types of requirements that need to be defined, the benefits of having the right software requirements, the stakeholders of the software requirements and getting them involved in the process, requirements activities throughout the software development life cycle, and techniques for eliciting, analyzing, specifying, and validating software requirements.

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