Sorting and searching are critical processes for effecttive data analysis. In this paper, we evaluate the performance of various sorting and searching algorithms and compare their time and space complexities on both s...
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This study investigates a Cloud-Edge-sensors infrastructure using M/M/c/K queuing theory to analyze agricultural data systems’ performance. It focuses on optimizing data handling and evaluates the system configuratio...
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This study investigates a Cloud-Edge-sensors infrastructure using M/M/c/K queuing theory to analyze agricultural data systems’ performance. It focuses on optimizing data handling and evaluates the system configuration impacts on performance. The model significantly enhances efficiency and scalability, minimizing the need for extensive physical infrastructure. Analysis shows over 90% utilization in both layers, highlighting the model’s applicability to various IoT applications. The M/M/c/K queuing model addresses scalability and real-time data processing challenges in agricultural cloud–edge-sensor networks, improving over traditional methods lacking dynamic scalability. Designed for optimized resource use and reduced data handling delays, this model proves crucial in precision agriculture, where timely data is essential for decision-making. Its versatility extends to various agricultural applications requiring efficient real-time analysis and resource management.
In resource-flow systems, e.g. production lines, agents are processing resources by applying capabilities to them in a given order. Such systems profit from self-organization as they become easier to manage and more r...
In resource-flow systems, e.g. production lines, agents are processing resources by applying capabilities to them in a given order. Such systems profit from self-organization as they become easier to manage and more robust against failures. This paper proposes a decentralized coordination process that restores a system's functionality after a failure by propagating information about the error through the system until a fitting agent is found that is able to perform the required function. The mechanism has been designed by combining a top-down design approach for self-organizing resource-flow system and a systemic modeling approach for the design of decentralized, distributed coordination mechanisms. The systematic conception of the inter-agent process is demonstrated. Evaluations of convergence as well as performance are performed by simulations.
Julia sets are considered one of the most attractive fractals and have wide range of applications in science and engineering. Jrgyris et al. [4] have studied the ef fect of dynamic noise on Julia sets and concluded th...
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This paper will study and evaluate watermarking technique by Zain and Fauzi [1]. Recommendations will then be made to enhance the technique especially in the aspect of recovery or reconstruction rate for medical image...
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Car plate recognition (CPR) system is an important application of image detection and recognition used to overcome the challenges of monitoring modern day traffic. The Freeman chain codes (FCC) is applied in this rese...
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The purpose of the work is to develop methodical bases for the construction of an intelligent control system (ISC) for unmanned combines (UMs) of energy crops (EC) for biogas plants (BP). In order to achieve this goal...
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The purpose of the work is to develop methodical bases for the construction of an intelligent control system (ISC) for unmanned combines (UMs) of energy crops (EC) for biogas plants (BP). In order to achieve this goal, the functional structure of the ISC was substantiated in the work, the method of recognition and determination of the volume of biomass EC in fields with unmanned aerial vehicles (UAVs) was developed, the method of synthesis of compromise-optimal routes of the BP with the minimum length of their routes in the process of biomass collection was proposed. and taking into account passive (unmoving) and active (moving) obstacles. With the help of the proposed ISC, the following tasks are solved: monitoring of the EC cultivation process and the determination of EC volumes based on the use of UAVs;determination of the density of changes in the yield of EC, the coordinates of active and passive obstacles in the way of the UMs movement;distribution of UMs by fields and planning of optimal routes and speed parameters of their movement for EC collection. A prerequisite for efficient harvesting combine driving is the constant control of the technological process of harvesting energy crops. Deviations from the work plan in most cases occur due to malfunction of technical equipment or adverse weather conditions. However, there are situations in which the deviation of the "plan-fact" is influenced by other factors, which may lead to a failure of the plan, and vice versa. Failure to complete the plan may be due to a reduction in the intensity of the work or the assumption by the user of errors when entering the initial data into the system, which reduces the adequacy of the model to the real process. The increase in planned indicators may be due to an increase in the speed of technological operations, which may lead to additional losses of biomass or a decrease in its quality. To solve the tasks listed, the ISC is divided into a subsystem of monitoring, planning and
This paper focus on the development of Expediency Fuel Consumption Cost Simulator (EFCCS). EFCCS is automated software that calculates the total amount of fuel cost for a car to travel based on the distance given, dri...
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This paper focus on the development of Expediency Fuel Consumption Cost Simulator (EFCCS). EFCCS is automated software that calculates the total amount of fuel cost for a car to travel based on the distance given, driving speed, weight capacity and current market fuel price cost. This software simulator has been developed by using Visual *** language and SQL Server database system. By deploying EFCCS, users obtain a summary and the best solution to estimate the minimum cost towards the desired destination.
This research proposes a new artificial intelligence strategy to enhance software games based on heart rate variability. The model consists of two modules (visual learning and IQ test) that will conjoined with a biofe...
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This research proposes a new artificial intelligence strategy to enhance software games based on heart rate variability. The model consists of two modules (visual learning and IQ test) that will conjoined with a biofeedback device connected to a computer to monitor student heart rate and record its changes in a stressful situation and generate appropriate reports. By playing these two games student will be able to improve their learning capability and control their heart rate variability.
Molodtsov initiated soft set theory as a new general mathematical tool for dealing with uncertainties. There has been some progress concerning reduction of soft set. However, up to the present, all methods about reduc...
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Molodtsov initiated soft set theory as a new general mathematical tool for dealing with uncertainties. There has been some progress concerning reduction of soft set. However, up to the present, all methods about reduction of soft sets only considered the parameter reduction, the parameter value reduction is not referred. In this paper, we propose the definition of parameterization value reduction of soft set theory, which holds the least parameter values and makes the optimal choice objects not change. In addition, a heuristic algorithm of parameterization value reduction of soft sets is presented. Finally, an illustrative example is employed to show our contribution.
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