A Binary Relation Base Reduction in a Relation Decision System

2021 ◽  
Author(s):  
Xu Li ◽  
Jianghua Wang ◽  
Chunling Wu ◽  
Jianguo Tang
Keyword(s):  
Binary Relation ◽  
Decision System

Training Impact Decision System for Air Force Career Fields: Tides Operational Guide

1995 ◽  
Author(s):  
Robert L. Gosc ◽  
J. L. Mitchell ◽  
J. R. Knight ◽  
Brice M. Stone ◽  
Frederick H. Reuter ◽  
...  
Keyword(s):  
Air Force ◽  
Decision System ◽  
Training Impact

Fuzzy Self-Adaptive Soccer Robot Behavior Decision System Design through ROS

2018 ◽  
Vol 62 (3) ◽  
pp. 304011-3040111 ◽  
Author(s):  
Shih-An Li ◽  
Hsuan-Ming Feng ◽  
Sheng-Po Huang ◽  
Chen-You Chu
Keyword(s):  
System Design ◽  
Soccer Robot ◽  
Decision System ◽  
Robot Behavior ◽  
Self Adaptive

A Highly Efficient and Optimised Simulation Based Multi objective Decision-Making for FMS Control

2018 ◽  
Vol 6 (6) ◽  
pp. 98
Author(s):  
Shreyanshu Parhi ◽  
S. C. Srivastava
Keyword(s):  
Decision Making ◽  
Real Time ◽  
Manufacturing Industry ◽  
Simulation Software ◽  
Shop Floor ◽  
Simulation Tool ◽  
Routing Flexibility ◽  
Decision System ◽  
Multi Objective ◽  
Arena Simulation

Optimized and efficient decision-making systems is the burning topic of research in modern manufacturing industry. The aforesaid statement is validated by the fact that the limitations of traditional decision-making system compresses the length and breadth of multi-objective decision-system application in FMS.  The bright area of FMS with more complexity in control and reduced simpler configuration plays a vital role in decision-making domain. The decision-making process consists of various activities such as collection of data from shop floor; appealing the decision-making activity; evaluation of alternatives and finally execution of best decisions. While studying and identifying a suitable decision-making approach the key critical factors such as decision automation levels, routing flexibility levels and control strategies are also considered. This paper investigates the cordial relation between the system ideality and process response time with various prospective of decision-making approaches responsible for shop-floor control of FMS. These cases are implemented to a real-time FMS problem and it is solved using ARENA simulation tool. ARENA is a simulation software that is used to calculate the industrial problems by creating a virtual shop floor environment. This proposed topology is being validated in real time solution of FMS problems with and without implementation of decision system in ARENA simulation tool. The real-time FMS problem is considered under the case of full routing flexibility. Finally, the comparative analysis of the results is done graphically and conclusion is drawn.

The Formation of the Binary Structure in Early Rabbinic Literature

2018 ◽  
Author(s):  
Adi Ophir ◽  
Ishay Rosen-Zvi
Keyword(s):  
Detailed Analysis ◽  
Binary Relation ◽  
Rabbinic Literature ◽  
Binary Structure ◽  
Binary Formation

This chapter sets the stage for a detailed analysis of the rabbinic goy. It traces the consolidation of the binary relation and the exclusion of hybrid categories. It further traces the rabbinic tendency to erase intermediate categories (Samaritans; foreign slaves; God-fearers; heretics) and force them into the new binary formation. From this perspective a new reading of the conversion ceremony is also offered. First appearing in rabbinic literature, the ceremony transformed diffusive spaces of conversion into a sharp and unequivocal procedure of passage—a transitory, instant event. Instead of reading this procedure as an evidence of a permeable border between groups, as scholars tend to do, the chapter shows how it performs the very erection of this border as it regulates its crossing.

scholarly journals Design and Implementation of a Hydroponic Strawberry Monitoring and Harvesting Timing Information Supporting System Based on Nano AI-Cloud and IoT-Edge

Electronics ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 1400
Author(s):  
Sun Park ◽  
JongWon Kim
Keyword(s):  
South Korea ◽  
Monitoring System ◽  
Learning Algorithm ◽  
Great Influence ◽  
Integrated System ◽  
Environmental Data ◽  
Decision System ◽  
Horticultural Crops ◽  
Deep Learning Algorithm ◽  
Growing Environment

The strawberry market in South Korea is actually the largest market among horticultural crops. Strawberry cultivation in South Korea changed from field cultivation to facility cultivation in order to increase production. However, the decrease in production manpower due to aging is increasing the demand for the automation of strawberry cultivation. Predicting the harvest of strawberries is an important research topic, as strawberry production requires the most manpower for harvest. In addition, the growing environment has a great influence on strawberry production as hydroponic cultivation of strawberries is increasing. In this paper, we design and implement an integrated system that monitors strawberry hydroponic environmental data and determines when to harvest with the concept of IoT-Edge-AI-Cloud. The proposed monitoring system collects, stores and visualizes strawberry growing environment data. The proposed harvest decision system classifies the strawberry maturity level in images using a deep learning algorithm. The monitoring and analysis results are visualized in an integrated interface, which provides a variety of basic data for strawberry cultivation. Even if the strawberry cultivation area increases, the proposed system can be easily expanded and flexibly based on a virtualized container with the concept of IoT-Edge-AI-Cloud. The monitoring system was verified by monitoring a hydroponic strawberry environment for 4 months. In addition, the harvest decision system was verified using strawberry pictures acquired from Smart Berry Farm.

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