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Found 6427 publications

Sustainability in Manufacturing: MILP Models of a Production Line Optimization Problem

Tamás Hajba

Publication Name: Chemical Engineering Transactions

Publication Date: 2025-01-01

Volume: 121

Issue: Unknown

Page Range: 55-60

Description:

In modern factories, the optimization of production lines is essential to reduce energy consumption and costs. A well-known model of production line optimization is the Permutation Flow Shop Problem (PFSP) with makespan minimization. PFSP instances arising in industry often have some special features: the problem may contain jobs whose processing times are equal on every machine. Such jobs are said to be of the same type. Due to technological reasons, some of the permutations may be forbidden. For example, only those job permutations are allowed in which, for each job type, the length of a maximal block of jobs from that type is divisible by a prescribed number (the lot size of that type). Considering these features, this paper introduces a generalization of the Permutation Flow Shop with Repetition and Lot Size Problem, in which different types of jobs have different lot sizes. We present two new mixed integer linear programming formulations of the problem and compare their effectiveness on a set of benchmark problems. Both models found the optimal solution within a few seconds for all problem instances involving 10 machines, 100 jobs, and five different types. These results show that even large-scale problems containing a small number of different jobs can be solved using these models.

Open Access: Yes

DOI: 10.3303/CET25121010

Edge AI Benchmarking: Tools, Methodologies, and Optimization Strategies, a review

Sandor R. Repas Mustafa Abdulkadhim

Publication Name: International Conference on Electrical Computer and Energy Technologies Icecet 2025

Publication Date: 2025-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

Edge computing has emerged as an important paradigm to address the evolving demands of latency-sensitive applications and the adaptation of Internet of Things (IoT) devices, offering near edge data processing to increase performance, reduce bandwidth usage, and increase data privacy. However, benchmarking these heterogeneous edge environments remains a challenge due to their distributed nature and diverse hardware configurations. This paper proposes "Scalable Heterogeneous Edge Automation Benchmarking"(SHEAB), a novel containerized and automated framework designed to evaluate edge computing systems comprehensively. SHEAB integrates containerization for portability, automation for efficiency, and a multi-layered security architecture - including firewalls, VPNs, and secure shell connections - to ensure robust data integrity across varied edge servers. This research advances the field by providing a scalable, secure, and adaptable benchmarking solution, with future directions aimed at researching hardware capability assessments and increasing AI-driven edge-computing testing and benchmarking.

Open Access: Yes

DOI: 10.1109/ICECET63943.2025.11472323

Variable network model

Zsuzsanna Bede Tamás Péter Ferenc Szauter

Publication Name: IFAC Proceedings Volumes IFAC Papersonline

Publication Date: 2013-01-01

Volume: 1

Issue: PART 1

Page Range: 173-177

Description:

Exploration and analysis of the possible application of state-dependent control through changing the structure of the above road traffic systems. © IFAC.

Open Access: Yes

DOI: 10.3182/20130916-2-tr-4042.00026

Evaluation of boolean graphs in software testing

Jozsef Sziray

Publication Name: Iccc 2013 IEEE 9th International Conference on Computational Cybernetics Proceedings

Publication Date: 2013-11-07

Volume: Unknown

Issue: Unknown

Page Range: 225-230

Description:

The paper presents an algorithm for producing the logic conditions that result in the effects of a cause-effect graph belonging to a given software. These conditions yield the test cases of the software. The algorithm applies a three-valued Boolean algebra, and is based on the successive justification of logic values in a combinational network, where the primary inputs are the causes, and the primary outputs are the effects. The computations are performed by traversing a decision tree, where backtracking is required if a decision leads to a logic contradiction. The main advantage of the algorithm is that it reduces the number of decisions to a great extent by using don't care values in the process. The calculation principle is comparatively simple. It is based only on successive line-value justification, and it yields an opportunity to be realized by an efficient computer program. The logic model introduced in the paper is completely general, in that it is applicable to any kind of cause-effect graphs, without any constraint. © 2013 IEEE.

Open Access: Yes

DOI: 10.1109/ICCCyb.2013.6617593

Adaptive Exploration Artificial Bee Colony for Mathematical Optimization

Edina Koch Hazim Albedran Shaymaa Alsamia Richard P. Ray

Publication Name: AI Switzerland

Publication Date: 2024-12-01

Volume: 5

Issue: 4

Page Range: 2218-2236

Description:

The artificial bee colony (ABC) algorithm is a famous swarm intelligence method utilized across various disciplines due to its robustness. However, it exhibits limitations in exploration mechanisms, particularly in high-dimensional or complex landscapes. This article introduces the adaptive exploration artificial bee colony (AEABC), a novel variant that reinspires the ABC algorithm based on real-world phenomena. AEABC incorporates new distance-based parameters and mechanisms to correct the original design, enhancing its robustness. The performance of AEABC was evaluated against 33 state-of-the-art metaheuristics across twenty-five benchmark functions and an engineering application. AEABC consistently outperformed its counterparts, demonstrating superior efficiency and accuracy. In a variable-sized problem (n = 10), the traditional ABC algorithm converged to 3.086 × 106, while AEABC achieved a convergence of 2.0596 × 10−255, highlighting its robust performance. By addressing the shortcomings of the traditional ABC algorithm, AEABC significantly advances mathematical optimization, especially in engineering applications. This work underscores the significance of the inspiration of the traditional ABC algorithm in enhancing the capabilities of swarm intelligence.

Open Access: Yes

DOI: 10.3390/ai5040109

Processing FT-IR data for facilitated oil condition monitoring

András Lajos Nagy Adam Agocs Zsolt Tabakov

Publication Name: 2022 IEEE 1st International Conference on Cognitive Mobility Cogmob 2022

Publication Date: 2022-01-01

Volume: Unknown

Issue: Unknown

Page Range: 47-50

Description:

The physical and chemical condition of a lubricant plays a vital role in the long-term operability of engineering systems. Hence, oil condition monitoring of high-value and heavy-duty equipment is a common practice across numerous industries. However, this practice is not utilized on a regular basis for passenger cars, and car fleets. For general automotive purposes, a simpler time and mileage-based approach is favored. This approach employs fixed oil change intervals, that are based on average usage, with more recently produced vehicles only slightly modifying these intervals by monitoring oil temperatures over time. With rising environmental concerns and increasing focus on systemic approaches, reducing waste production is gaining importance. Being aware of lubricant condition opens up the opportunity to optimized, condition-based oil changes, that can help reduce waste by elongating the service life of engine oils. This study presents a methodology of processing FT-IR data that allows for a simplified decision making regarding the prolonged applicability of used engine oil. The presented method can be implemented as a step of planned maintenance during scheduled service at a repair shop, as well as a regular investigation by fleet operators.

Open Access: Yes

DOI: 10.1109/CogMob55547.2022.10117798

Identification of complex systems through reduced paths using the Spiral Discovery Method

Adam B. Csapo Peter Varlaki Peter Baranyi

Publication Name: Ines 2013 IEEE 17th International Conference on Intelligent Engineering Systems Proceedings

Publication Date: 2013-12-12

Volume: Unknown

Issue: Unknown

Page Range: 91-96

Description:

Control theories of cognitive systems are gaining relevance as a result of two driving forces: the desire to create artificial cognitive systems, and the desire to influence or control biological ones. This paper introduces the Spiral Discovery Method (SDM) in a new context, with the goal of facilitating reduced path parameter identification of black-box systems. The approach appeals to human cognitive capabilities in that it reduces the number of possible interaction parameters, and in that it introduces a cyclical structure to the search path which helps in reducing the cognitive load associated with the search process. The proposed approach is demonstrated through a rudimentary parameter identification scenario, and future directions are discussed. © 2013 IEEE.

Open Access: Yes

DOI: 10.1109/INES.2013.6632789

Opportunities within the meat supply chain in Africa-The case of beef production in Northern Ghana

Laszlo Vasa Imre Vida Áron Vaskó

Publication Name: Plos One

Publication Date: 2022-01-01

Volume: 17

Issue: 1

Page Range: Unknown

Description:

Developing food supply chains in the African agriculture could be one of the keys for higher value-added activities and for the fair income of the stakeholders along the chains. Our research aims to investigate how these agricultural value chains are working in Northern Ghana and how to develop them. To estimate meat demand in the Tamale Metropolis, we carried out a large-scale survey with more than 300 interviews. Furthermore, we also measured the awareness of processed meat products. Based on the results, our conclusions are as follows: Development of public services offers the opportunity to (1) gaining market power for ourselves while losing market power for others, (2) indirect takeover of control on political and civil societies while losing control for others, (3) to win allies and friends on one hand, potentially losing allies and friends on the other. After spatial analyses of grazing areas, animal markets, trading routes and witnessing the descriptions of basic macroeconomic differences within Ghana; we must conclude that live animal trade is south-orientated, where traders are able to bargain higher prices. Due to northern locational advantages, the price of animals could be reduced. The presumably cheaper workforce and dozens of unemployed young males could also alleviate the financial burdens.

Open Access: Yes

DOI: 10.1371/journal.pone.0260668

Sound of vision - Spatial audio output and sonification approaches

Rúnar Unnþórsson Michał Bujacz Alin Moldoveanu Gabriel Ivanica Adam B. Csapo Simone Spagnol Charalampos Saitis Omar I. Johannesson Karol Kropidlowski Piotr Witek Mikolai Rotnicki György Wersényi

Publication Name: Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics

Publication Date: 2016-01-01

Volume: 9759

Issue: Unknown

Page Range: 202-209

Description:

The paper summarizes a number of audio-related studies conducted by the Sound of Vision consortium, which focuses on the construction of a new prototype electronic travel aid for the blind. Different solutions for spatial audio were compared by testing sound localization accuracy in a number of setups, comparing plain stereo panning with generic and individual HRTFs, as well as testing different types of stereo headphones vs custom designed quadrophonic proximaural headphones. A number of proposed sonification approaches were tested by sighted and blind volunteers for accuracy and efficiency in representing simple virtual environments.

Open Access: Yes

DOI: 10.1007/978-3-319-41267-2_28