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Found 6278 publications
Robotics, drones, and other autonomous systems in the seafood sector
Publication Name: Seafood 4 0 Digital Physical and Biological Innovations from Sea to Table
Publication Date: 2025-01-01
Volume: Unknown
Issue: Unknown
Page Range: 223-252
Description:
The seafood sector is essential for global food security and economic development; however, it encounters substantial challenges, including labor shortages, sustainability issues, and the necessity for enhanced efficiency. Advanced technologies such as robotics, drones, and autonomous systems are increasingly being integrated into multiple stages of the seafood value chain, encompassing harvesting and distribution, to address these challenges. These technologies provide solutions through the enhancement of operational efficiency, improvement of product quality, and promotion of sustainability. This chapter examines the automation of processing and packaging through robotics, the enhancement of aquaculture and fishery monitoring via drones, and the optimization of logistics and environmental management by autonomous systems. The chapter also highlights challenges associated with the adoption of these technologies, such as elevated costs, regulatory concerns, and the necessity for technical expertise. Several real-world use cases are presented to demonstrate the practical application and benefits of each technology. The chapter concludes with recommendations for future research, emphasizing the scalability of these technologies for smaller enterprises, their integration throughout the value chain, and their environmental and social implications. Addressing these areas enables the seafood sector to leverage technology more effectively for a sustainable and efficient future.
Open Access: Yes
ReGAIN: a reinforcement-enhanced generative AI framework for intelligent intrusion detection in IoT networks
Publication Name: Complex and Intelligent Systems
Publication Date: 2026-04-01
Volume: 12
Issue: 4
Page Range: Unknown
Description:
The advent of the Internet of Things (IoT) enables billions of devices in wide-ranging domains such as healthcare, industry, and smart cities to interconnect with each other, but these connections make the network vulnerable to advanced cyber threats too. Current intrusion detection methods have failed to provide effective detection capabilities mainly because of issues such as extremely imbalanced data distributions, low classification accuracy, or static and manually tuned hyperparameters that do not generalize well in dynamic IoT settings. These challenges are exacerbated by unique IoT constraints, including limited device resources and dynamic attack patterns, which further complicate effective detection. To address these challenges, in this study we present a Reinforcement-enhanced Generative Artificial Intelligence (ReGAIN) framework for intelligent intrusion detection in IoT networks. In this approach, we use a generative autoencoder for data balancing to generate realistic minority class instances in the latent feature space, and meanwhile to obtain stable and unbiased learning of the model. This paper introduces a novel Pointer-Attention Dual Network (PAD-Net) that employs a Dual Attention Network (DANet) and a Pointer Network (PtrNet) to enhance spatial attention and inter-feature relationships. We also propose Reinforcement-enhanced PAD-Net (RePAD-Net), which leverages reinforcement learning to automatically optimize key hyperparameters at each training step, further enhancing generalization ability and robustness. The intrusion detection task in this study is a multi-class classification problem, where different types of attacks are distinguished from each other. Experimental results demonstrate that PAD-Net and RePAD-Net achieve notable improvements of 3.79% and 8.79% in accuracy, 3.79% and 8.78% in recall, 2.79% and 9.01% in F1-score, 3.79% and 8.83% in Mathews correlation coefficient, and 3.94% and 9.11% in Cohen’s Kappa, respectively, along with significant reductions in log loss of 47.42% and 70.96% and hamming loss of 24.33% and 56.37% compared with baseline models such as naive bayes, gradient boosting, densely connected network, long short term memory, hybrid models, DANet and PtrNet. Additionally, 10-fold cross validation is applied to validate the results of proposed models. These findings confirm that our proposed ReGAIN framework, which is able to alleviate data imbalance and improve learning generalization, can dramatically enhance the reliability of detection performance under complex IoT intrusion environments.
Open Access: Yes
Dietary inclusion of defatted silkworm (Bombyx mori L.) pupa meal in broiler chickens: phase feeding effects on nutritional and sensory meat quality
Publication Name: Poultry Science
Publication Date: 2024-07-01
Volume: 103
Issue: 7
Page Range: Unknown
Description:
The present experiment was conducted to test the effect of a 4% defatted silkworm (Bombyx mori) pupae meal (SWM) incorporation into chickens’ diets at different growth phases on meat quality characteristics and sensory traits. Ninety ROSS 308 day-old male broiler chickens were randomly assigned to 3 dietary groups, with 5 replicated pens/diet: the first group received a control (C) diet throughout the growing period of 42 d, the second group received a diet with 4% SWM (SWM1) during the starter phase (1–10 d) and the C diet up to slaughter, whereas the third group was fed the C diet during the starter phase and 4% SWM during the grower and finisher phases (SWM2). Diets were isonitrogenous and isoenergy, and birds had free access to feed and water throughout the experimental trial. At 42 d of age, 15 chickens/treatment were slaughtered at a commercial abattoir. Fatty acid (FA) and amino acid (AA) profiles and contents of meat, as well as its oxidative status, were determined in both breast and leg meat cuts. Also, a descriptive sensory analysis was performed on breast meat by trained panelists. Results highlighted that the SWM2 treatment increased the n-3 proportion and content in both breast and leg meat, thereby improving the omega-6/omega-3 (n-6/n-3) ratio in both cuts (P < 0.001). However, the dietary treatment had no significant effect on the oxidative status of either breast or leg meat (P > 0.05). The SWM had a limited impact on overall sensory traits of breast meat, but it contributed to improve meat tenderness in SWM-fed chickens (P < 0.01). Furthermore, SWM1 meat exhibited higher juiciness (P < 0.05) and off flavor intensity (P < 0.05) compared to the control meat. Overall, the present experiment indicated that defatted SWM holds promise as an alternative ingredient in chicken rations, ensuring satisfactory meat quality. Furthermore, administering SWM during the grower-finisher phase demonstrated beneficial effects on meat healthiness, ultimately enhancing n-3 fatty acids content and reducing the n-6/n-3 ratio.
Open Access: Yes
Determining the dwell time constraint for switched H∞ filters
Publication Name: Przeglad Elektrotechniczny
Publication Date: 2019-01-01
Volume: 95
Issue: 1
Page Range: 7-11
Description:
This paper presents an algorithm for determining the minimum dwell time constraint for switched linear H∞ fault detection filters. When applying switched systems, ensuring the stability is a crucial part, which can be guaranteed, when we switch slowly enough between the subsystems, more precisely the intervals between two consecutive switching, called dwell time, are large enough. The problem formulation is based on multiple Lyapunov functions and is expressed through a special form of linear matrix inequities (LMIs), which include a nonlinear term with the dwell time. This represents a multivariable time dependent optimization problem. To solve this special formulated LMIs, we propose an algorithm, called Td -iteration, which is a combination of the procedure of interval halving with an LMI solver. The results of the illustrative example suggest further benefits.
Open Access: Yes
The multidimensional effects of host country sustainable development on China’s outward foreign direct investment: evidence from Belt and Road countries
Publication Name: International Journal of Low Carbon Technologies
Publication Date: 2025-01-01
Volume: 20
Issue: Unknown
Page Range: 2103-2116
Description:
This paper explores the effect of sustainable development levels in countries participating in the Belt and Road Initiative (BRI) on China’s Outward Foreign Direct Investment (OFDI). Through a systematic empirical analysis at both national and enterprise levels, the study examines how the sustainability of BRI countries influences China’s investment decisions. At the national level, the analysis reveals that higher levels of sustainable development in BRI countries positively impact China’s OFDI, with this relationship exhibiting a nonlinear pattern: low and high levels of sustainable development inhibit and promote OFDI, respectively. Additionally, natural resource availability plays a significant role in generating spatial spillover effects. Further examination at the enterprise level shows that the positive relationship between sustainable development and OFDI was particularly evident from 2013 to 2019; however, the onset of the COVID-19 pandemic in 2020 disrupted this trend. The heterogeneity analysis shows that state-owned enterprises tend to invest in countries with higher sustainable development levels, while industries like power, heat production, and wholesale retail are less sensitive to these levels. Additionally, host country participation in the Belt and Road Summit increases enterprises’ tolerance for variations in sustainable development, while leverage ratio and asset liquidity further influence OFDI. This study provides theoretical insights into the selection of BRI countries for OFDI and offers policy recommendations for enhancing the sustainability and risk management of China’s foreign investments.
Open Access: Yes
Analysis Of The Dynamics Of Cashless Payments In Kazakhstan In The Context Of The Covid-19 Pandemic
Publication Name: Economy Strategy and Practice
Publication Date: 2021-01-01
Volume: 16
Issue: 2
Page Range: 54-61
Description:
The COVID-19 pandemic has accelerated the development of FinTech and the transition to cashless payments of the population of various countries, including Kazakhstan. For provision of cashless payments there are created platforms which work in NFC & MFS systems, they protected by security protocols (Secure Element (SE)) and allow to store confidential user data. Changes in the business model of banks have led to the emergence of a new format of banking products and services that can be used through smartphones (the main operating systems Android and iOS). The goal of the study is to analyze the dynamics of the impact of the COVID-19 pandemic on the use of cashless payments through national payment systems in Kazakhstan. Based on the goal, a null and an alternative hypothesis were set, of which the second was confirmed in the result. Research methods used to write this article are economic and statistical analysis and synthesis, graphical method, analysis of the series of dynamics. The data for the study was taken from the NBK Statistical Bulletin: data on cashless payments through the Interbank System of Money Transfer (ISMT) and the Interbank Clearing System (ICS) for the period from 2002 to 2020. The impact of the COVID-19 pandemic on the dynamics of the transformation of cashless payments made by using financial technologies has been proved. Recommendations for further improvement of the financial system are given. The development of national payment systems makes it possible to reduce the level of fraud in the financial sector, to increase the speed of cashless transfers and level out transaction errors. Study limitation: only national payment systems ISMT and ICS were used.
Open Access: Yes
Analysis and design of electrical circuits by ANA method
Publication Name: Przeglad Elektrotechniczny
Publication Date: 2009-12-01
Volume: 85
Issue: 12
Page Range: 69-72
Description:
The paper presents a software, which includes the functions available in the other networks and systems, but it gives a user friendly interface. The program, called ANA (Advanced Network Analysis) is to give an easy use for students, engineers and researchers as well.
Open Access: Yes
DOI: DOI not available
A simultaneous solution for general linear equations with subspace decomposition
Publication Name: Civil Comp Proceedings
Publication Date: 2011-01-01
Volume: 95
Issue: Unknown
Page Range: Unknown
Description:
For solving linear systems of equations there are several known algorithms. For large linear systems with a sparse matrix iteration algorithms are recommended. But in the case of general n x m matrices the classic iterative algorithms are not applicable with a few exceptions. For example in some cases the Lanczos type algorithms are adequate. The algorithm presented here based is on the minimization of residual solution with subspace decomposition. Therefore this algorithm seems to be applicable for the construction of parallel algorithms. In this paper we describe a sequential version of proposed algorithm first and give its theoretical analysis. The algorithm has some genetic characteristics. After this we will formulate a parallel version of algorithm with subspace decomposition in order to study the details of convergence and the speed up effect of the parallel algorithms. The numerical test results of these algorithms including the speed-up effects of the parallel execution will be shown. The comparison of the classical method and the new approach will also be presented considering the running speed and efficiency too. The computer tests have been carried out with parallel and cluster computing methods as well. © Civil-Comp Press, 2011.
Open Access: Yes
DOI: DOI not available
Enhancing flow in remote work: the influence of IT consumerization
Publication Name: Management Decision
Publication Date: 2025-01-01
Volume: Unknown
Issue: Unknown
Page Range: Unknown
Description:
Purpose – The widespread adoption of information and communication technologies (ICT) post pandemic has reshaped remote work, yet its implications for employee well-being and work outcomes remain inconclusive. This study proposes a research model to examine how IT consumerization influences employees’ flow, a state of control, enjoyment and focus on work. Design/methodology/approach – Grounded in the job demands-resources (JD-R) model theory. This study employs structural equation modeling (SEM) to analyze survey from 476 full-time remote workers across various sectors in Mauritius, a developing economy where IT consumerization has surged to support remote connectivity. Findings – The results highlight IT consumerization as a “double-edged sword”, enhancing autonomy while simultaneously generating techno-pressure. However, autonomy buffers the negative effects of techno-pressure, ultimately improving flow. Techno-pressure, autonomy and work-life conflict serve as mediators, deepening the understanding of how IT consumerization impacts flow. Practical implications – Practical implications are suggested for organizations seeking to optimize remote work remote conditions. Strategies that balance autonomy and mitigate techno-pressure can improve employees’ flow in remote work environments. Originality/value – This research contributes to the telework literature by examining IT consumerization within remote work settings, particularly in a developing economy context. By highlighting its dual role as both a resource and a demand, the study enriches understanding of its impact on flow.
Open Access: Yes
