Control Area Research Articles

Evaluating eco-economic benefits of anchoring and drifting under government sulfur emission policies

Driven by global sulphur strategy, reducing sulfur emissions from the global shipping industry is of great significance for achieving sustainable development goals related to addressing climate change. This study explores the impact of government sulfur emission policies on the choice of mooring modes, include anchoring and drifting, for shipping lines. In this study, a bi-level programming model is constructed and linearized to minimize the total vessel emissions in emission control areas during the planning horizon and the total cost of each type of vessel. The leader of this model is the department that issues regulations and decides on the anchorage to regulate whether marine gas oil must be used. The followers are the shipping lines that execute transportation tasks and choose whether a vessel will anchor or drift. In addition, many numerical experiments and sensitivity analysis are conducted, and data and theoretical support for relevant decision-making are provided.

Does Cyber Insurance Promote Cyber Security Best Practice? An Analysis Based on Insurance Application Forms

The significant rise in digital threats and attacks has led to an increase in the use of cyber insurance as a cyber risk treatment method intended to support organisations in the event of a security breach. Insurance providers are set up to assume such residual risk, but they often require organisations to implement certain security controls a priori to reduce their exposure. We examine the assertion that cyber insurance promotes cyber security best practice by conducting a critical examination of cyber insurance application forms to determine how well they align with ISO 27001, the NIST Cybersecurity Framework and the UK’s Cyber Essentials security standards. We achieve this by mapping questions and requirements expressed in insurance forms to the security controls covered in each of the standards. This allows us to identify security controls and standards that are considered—and likely most valued—by insurers and those that are neglected. We find that while there is some reasonable coverage across forms, there is an underrepresentation of best practice standards and controls generally, and particularly in some control areas (e.g., procedural/governance controls, incident response and recovery).

Impacts of fire and flooding on sediment carbon storage in a large, forested floodplain

Summary Natural disturbances influence wetland carbon cycling, and fire is a key driver of terrestrial carbon stocks. However, the influence of fire on wetland carbon cycling remains poorly understood. Here, we investigated how prescribed fire and wildfire impact soil carbon storage in a forested floodplain of south-eastern Australia. We sampled four areas within Murray Valley National Park, the world’s largest river red gum (Eucalyptus camaldulensis) stand, and compared soil carbon (C), nitrogen (N) and C:N ratios between control (unburnt in the 50 years prior to sampling), prescribed burn and wildfire-impacted floodplain areas. Mean soil C and N concentrations were 4.7% ± 0.32% and 0.36% ± 0.02%, respectively, and mean C:N ratios were 14.23 ± 0.33. Carbon concentrations and C:N were highest in control areas of the floodplain, while N concentrations were highest at wildfire-impacted areas. However, flood frequency was a stronger driver of soil C than fire disturbance. Soils at more frequently flooded areas had higher C concentrations compared to less frequently flooded areas, suggesting that resilience to C loss through fire could be enhanced through hydrological restoration. We believe this warrants further research as a potential nature-based climate measure. Mean C density data indicate soil C stocks of 9.4 Tg across Barmah-Millewa Forest, highlighting the significant carbon storage value of this ecosystem.

Potential distribution of Acerophagus papayae, a parasitoid of the papaya mealybug (Paracoccus marginatus), across Africa

The papaya mealybug, Paracoccus marginatus, is a highly polyphagous invasive pest that affects at least 133 economically important crops, and causes economic losses worldwide. Acerophagus papayae (Noyes and Schauff), a parasitic wasp, has proven to be a successful biocontrol agent, but its use in Africa is limited. Here, we use a predictive correlative model to explore the potential distribution of A. papayae and relate it to data showing the potential distribution of P. marginatus, to highlight potentially suitable areas for biological control of P. marginatus, for its current distribution, as well as its potential future distribution.The resulting model performed well with a test AUC of 0.89. Areas that were highly suitable for P. marginatus and were also suitable for A. papayae were highest across West Africa. Whilst there were areas which were suitable for both species in both East Africa and Central Africa, there were large areas of cropping land which were highly suitable for P. marginatus although not suitable for A. papayae. Across Northern and Southern Africa, there were limited cropping areas which were suitable for P. marginatus and where there was suitability, it was only moderate. Across these areas, there was limited suitability for A. papayae.Our results offer refined information on the potential suitability for A. papayae across Africa with the aim to help guide decisions on the areas where use of A. papayae could be used effectively as a part of an integrated pest management programme against P. marginatus.

Exploring the Factors Leading to Diffusion of Alternative Fuels Using a Socio-Technical Transition Approach—A Case Study of LNG as a Marine Fuel in Norway

The maritime shipping sector needs to transition towards a low- or zero-emission future to align with the 1.5 °C temperature goal and the recently adopted and revised greenhouse gas (GHG) strategy at the International Maritime Organization (IMO). A significant research gap exists in understanding how socio-economic and socio-political processes can lead to the adoption of alternative marine fuels that will be essential in meeting the aforementioned goals. The aim of this paper is to use a case study of an existing transition to understand how diffusion takes place, specifically how the adoption of liquified natural gas (LNG) in Norway has unfolded and what lessons can be learnt from this process. To answer this question, a combination of semi-structured interviews with key maritime stakeholders and documentary evidence was collected covering the period from 1985 to 2015. The collected data were analysed through a content analysis approach applying the multilevel perspective (MLP) as a heuristic. The qualitative results paint an interesting picture of the changing attitudes towards LNG as a marine fuel in Norway. In the early years, the adoption of LNG was primarily driven by air pollution and political considerations of using Norwegian natural gas, which over time, evolved into a more focused maritime paradigm painted through the lens of the Norwegian maritime industry under wider regulatory developments such as emission control areas (ECAs). By the 2010s, these drivers were superseded by GHG considerations such as methane slip concerns and a less favourable natural gas market leading to a slowdown of LNG adoption. These findings provide valuable insights for understanding future adoption dynamics of alternative zero-emission fuels, particularly in relation to the role of strong technology champions, institutional modification requirements, and starting conditions for a transition.

Salix humboldtiana as an Indicator of Air Pollution by Trace Metals in the Urban Areas of the City of Loja, Southern Ecuador

Air pollution is the most important environmental problem in urban areas related to vehicular traffic and industrial activities. The widespread presence of common urban trees, such as Salix humboldtiana, and their ability to tolerate diverse environmental conditions make this species an especially promising candidate for assessing environmental metal contamination. Therefore, biomonitoring with vascular plants has been widely used to assess air pollution, especially the accumulation of trace metal concentrations. Therefore, for the first time, we analyzed the concentration of trace metals using Salix humboldtiana in twelve areas with different levels of pollution in a city in Southern Ecuador. For this purpose, samples were taken from each site to assess the accumulation of trace metals such as Zn, Mn, Fe, Cd, Cr, Pb, Cu, Al, and Ni. The results obtained showed significant differences in the concentrations of Zn, Mn, Fe, and Cd between the urban areas and the control area, indicating that the central areas were the most polluted by vehicular traffic. However, these findings suggest that Salix humboldtiana may not be a particularly effective tool for quantifying levels of environmental metal contamination such as Cu and Ni, at least in urban areas in the city of Loja. This study has demonstrated that Salix humboldtiana leaves can effectively monitor trace metals associated with road traffic emissions in areas with varying levels of vehicular activity, indicating that vascular plants can be utilized for this purpose in tropical cities.

Operating between ports inside and outside emission control areas and its effect on shipping cost

Emission Control Areas (ECAs) have been established to mitigate the environmental impact of maritime transportation, significantly affecting ship operations and costs. While previous studies have examined optimal sailing strategies within ECAs, most have been limited by the inability to provide precise latitude and longitude coordinates for the optimal sailing path. Furthermore, there is limited research on scenarios where ships operate between ports inside and outside ECAs, a common occurrence in global shipping. This study addresses these gaps by investigating the optimal sailing patterns for ships operating between ports located inside and outside ECAs. A mixed integer nonlinear programming model is developed to minimize fuel costs while complying with ECA regulations, determining optimal speeds inside and outside the ECA and latitude and longitude coordinates of ECA entry/exit point. By analyzing 204 routes in the Atlantic Coast and Gulf of Mexico ECA, this study reveals that sailing pattern optimization is economically beneficial on over 76% of routes, a higher proportion than scenarios where both ports are within ECAs. Two critical factors influencing optimal sailing pattern selection are identified: the proportion of the sailing distance inside the ECA to the total sailing distance under the original sailing pattern (S) and fuel price ratio inside and outside the ECA. Unlike the scenario where both ports are within ECAs, S emerges as the primary determinant of strategy selection. This finding contributes to the understanding of ship behavior under ECA regulations in more complex routing scenarios and provides valuable insights for both shipping operators and policymakers.

Productivity of the Bakchar bog plant communities in the initial stages of pyrogenic succession (southern taiga of Western Siberia)

The results of a study on the productivity of plant communities after a crown fire in a drained oligotrophic bog in the southern taiga of Western Siberia are presented. A quantitative assessment of biological productivity in areas with varying degrees of pyrogenic disturbance is given. The reserves of the grass-shrub and moss layers in the most disturbed area in the second year of restoration amounted to 1220 g/m2, production was 324 g/m2 per year; in the third year, reserves increased to 1635 g/m2 and production increased to 1038 g/m2 per year due to the growth of blueberries, while the production in the control site with high reserves of living phytomass (2200 g/m2) amounted to 745 g/m2 per year. There was a change in the structure of the phytomass, compaction of the deposit by 34%, and an increase in the mortmass of vascular plants by three times. The living mass of roots in the disturbed area concentrated in the upper layer of 0–10 cm, while it was distributed in the control area in the layer of 10–30 cm. It was found that the roots of dead pines retain the morphological characteristics of living ones during the first two years and pass into the fraction of dead roots on the third year of pyrogenic succession. Carbon losses during burning of the top layer of tow up to 20 cm amounted to 3016 g C/m2, 500 g/m2 of which can be buried as a layer of coal in peat.

Health Risk of Heavy Metals in Drinking Water Sources of Water-Carrying Lakes Affected by Retreating Polder: A Case Study of Luoma Lake

Heavy metal pollution is a critical issue affecting the safety of drinking water sources. However, the impact of human activities on heavy metal risk levels in water-carrying lakes remains unclear. This study aims to explore the risk mechanisms of heavy metals in Luoma Lake, an important water-carrying lake for the South-to-North Water Diversion Project. We explored the spatial and temporal differences in the distribution of heavy metals in Lake Luoma using methods such as the heavy metal pollution index (HPI) and assessed the risk variations using a health assessment model. The results indicated that heavy metal concentrations in water-carrying lakes generally decreased during the dry season, with Mn and Zn levels decreasing by 89.3% and 56.2%, respectively. The comprehensive score of HPI decreased by 13.16% following the retreating polder compared to the control area (Non-retreating polder area). Furthermore, the HPI at the drinking water intake was lower, which is closely associated with the elevated dissolved oxygen (DO) and oxidation–reduction potential (ORP) resulting from water diversion. The annual average health risk across the entire lake was not significant, with higher levels observed in the control area. The annual non-carcinogenic risk levels of Mn, Ni, Cu, Zn, and Pb range from 10−13 to 10−9, which are considered negligible risk levels. Notably, the carcinogenic risk posed by arsenic (As) through the drinking pathway reached 10−5 a−1, exceeding the maximum levels recommended by certain organizations. These findings provide a critical foundation for managing heavy metals in water-carrying drinking water sources.

The inhibitory control deficit of internet gaming disorder: An Event-Related Potentials(ERPs) study

IntroductionThe primary difficulty and challenge encountered by individuals with Internet Gaming Disorder (IGD) is inhibitory control deficit. Given that different types of inhibitory control have different effects on IGD patients, it is critical to investigate the neurological cognitive processes underlying various inhibitory control problems. MethodsThe IGD-20 questionnaire was used to identify Internet game disorder and healthy control group, and finally Internet game disorder in (n=25) and healthy control group (n=28) in Flanker task, Internet game disorder (n=29) and health control group (n=24) in GO/NOGO task. The Flanker task was employed to investigate distractor interference inhibition control in those with IGD, while the Go/NoGo task was used to measure their prepotent response inhibitory control. Event-related potentials (ERPs) were used to evaluate the brain mechanisms difference of both IGD and healthy participants during these different inhibitory control tasks. ResultsFindings indicate that compared to healthy control subjects, individuals with Internet Gaming Disorder (IGD) have deficits in inhibitory control tasks during both distraction inhibition and prepotent response inhibition tasks, and distraction inhibition occurs earlier than prepotent response inhibition. In distraction inhibition tasks, the IGD group's N2 amplitude is significantly lower than the healthy control groups. In prepotent response inhibition, the N2 amplitude provoked in the IGD group is not only significantly lower than in the healthy control group, but the P3 amplitude is also significantly larger in the IGD group. The main brain activity areas of interference inhibitory control are the frontal lobe and prefrontal lobe, while the main brain activity areas of prepotent response inhibitory control are the frontal lobe and occipital lobe. ConclusionThe present study concentrates on the differential neurophysiological characteristics observed in individuals with Internet gaming problems, notably the ability to avoid distractions and prepotent reactions. The current research provides foundations for the assessment and development of tailored therapy and treatment methods to address the wide variety of cognitive problems reported in individuals with Internet Gaming Disorder (IGD).

A novel unified variational finite difference (VFD) solution method for optimal control problems

This article is aimed to propose a simple yet efficient unified numerical strategy for solving both linear and non-linear optimal control problems. To do so, the general form of quadratic performance index function and nonlinear state equations are considered first. Then, the idea of variational differential quadrature method is used to convert the integral/differential equations to the equivalent algebraic form. Since time is the only independent variable is this research, the finite difference method with an equally-spaced discretization scheme would be a more appropriate technique rather than the differential quadrature approach. So, the implemented numerical solution is called now as the variational finite difference method. The method of Lagrange multipliers is then utilized for minimization purpose and, as a result, the final set of nonlinear algebraic equations are obtained. Finally, the quadratic and triadic forms of non-linearity are considered and an explicit formulation is represented for the residual and Jacobian of the Newton-based iterative solution procedure. To demonstrate the accuracy and efficiency of the proposed approach in the quadratic optimal control area, several benchmark problems involving linear time-invariant, linear time-variant and nonlinear examples are successfully solved and the results are confirmed with those existed in the literature.

Radiological protection of Young Scientist and Scientific Researcher trainees in controlled areas of the Argonaut reactor installation: analytical approach

Since the increasing use of ionizing radiations in medical and industrial proceedings, recommendations and actions have been necessaries to reduce the individual radiological risks. In the Nuclear Engineering Institute (IEN), there is the Argonauta research nuclear reactor (RARG) used for producing radionuclides, neutrongraphy studies and training young scientists (YST) and scientific researchers (SRT). During their trainings, these trainees are exposed to ionizing radiations meanly during the neutrongraphyc experiments when they need to adjust neutrongraphy plates in front the J9 channel with the RARG in critical condition. At this moment, they are exposed to neutron and gamma radiations in the RARG hall. This paper evaluated the gamma and neutron expositions that YST and SRT are submitted during the neutrongraphy experiments, by using area monitors to measure the ambient dose equivalent rates in two points near to J9 channel. Considering only this experiment, there was found that the annual individual effective dose could reach up to 2.5 mSv, which is more than 150% of the annual dose to member of the public (MP), but below the annual effective dose to occupationally exposed individual (OEI) as a worker. The question is if YST and SRT should be considered an OEI or a MP. This question is answered through an analytical approach of the regulations and recommendations. The conclusion is that YST and SRT shall be controlled as OEI, but must be submitted to MP’ restriction doses.

Enhancing ECU identification security in CAN networks using distortion modeling and neural networks

A novel technique for electronic control unit (ECU) identification is proposed in this study to address security vulnerabilities of the controller area network (CAN) protocol. The reliable ECU identification has the potential to prevent spoofing attacks launched over the CAN due to the lack of message authentication. In this regard, we model the ECU-specific random distortion caused by the imperfections in the digital-to-analog converter and semiconductor impurities in the transmitting ECU for fingerprinting. Afterward, a 4-layered artificial neural network (ANN) is trained on the feature set to identify the transmitting ECU and the corresponding ECU pin. The ECU-pin identification is also a novel contribution of this study and can be used to prevent voltage-based attacks. We have evaluated our method using ANNs over a dataset generated from 7 ECUs with 6 pins, each having 185 records, and 40 records for each pin. The performance evaluation against state-of-the-art methods revealed that the proposed method achieved 99.4% accuracy for ECU identification and 96.7% accuracy for pin identification, which signifies the reliability of the proposed approach.

A general framework to optimize fracture parameters in tight gas reservoir of heterogeneous channel sand bodies

Optimizing fracture parameters can unlock the potential of tight gas reservoirs. Various frameworks have been proposed as efficient optimization tools. However, current frameworks are mostly aimed at regular rectangular oil or gas reservoirs. The effect of heterogenous channel sand bodies on fracture parameter optimization has not been discussed. Here, we proposed a general optimization framework. The first step is to establish a heterogeneous channel sand bodies model based on image processing and data interpolation methods. The second step is to couple optimization algorithm and reservoir simulator to optimize fracture parameters. Then the framework is applied to two actual wells in Shaximiao Formation in Sichuan Basin in China. Results show that, the effect of channel sand body on the fracture optimization cannot been ignored. The optimal fractures tend to be concentrated in areas with good physical properties and large control areas. The sand body boundary has a significant control effect on the fracture half-length. For both fracture length and conductivity, double dumbbell shape is better than uniform shape. Our general framework serves as an efficient tool to optimize fracture design in heterogeneous channel sand body, which plays a growing role in enhancing tight gas recovery.

The cognitive triad network - oscillation - behaviour links individual differences in EEG theta frequency with task performance and effective connectivity

We reconcile two significant lines of Cognitive Neuroscience research: the relationship between the structural and functional architecture of the brain and behaviour on the one hand and the functional significance of oscillatory brain processes to behavioural performance on the other. Network neuroscience proposes that the three elements, behavioural performance, EEG oscillation frequency, and network connectivity should be tightly connected at the individual level. Young and old healthy adults were recruited as a proxy for performance variation. An auditory inhibitory control task was used to demonstrate that task performance correlates with the individual EEG frontal theta frequency. Older adults had a significantly slower theta frequency, and both theta frequency and task performance correlated with the strengths of two network connections that involve the main areas of inhibitory control and speech processing. The results suggest that both the recruited functional network and the oscillation frequency induced by the task are specific to the task, are inseparable, and mark individual differences that directly link structure and function to behaviour in health and disease.

Association Model-Based Intermittent Connection Fault Diagnosis for Controller Area Networks

Controller Area Networks (CANs) play an important role in many safety-critical industrial systems, which places high demands on their reliability performance. However, the intermittent connection (IC) of network cables, a random and transient connectivity problem, is a common but hard troubleshooting fault that can cause network performance degradation, system-level failures, and even safety issues. Therefore, to ensure the reliability of CANs, a fault symptom association model-based IC fault diagnosis method is proposed. Firstly, the symptoms are defined by examining the error records, and the domains of the symptoms are derived to represent the causal relationship between the fault locations and the symptoms. Secondly, the fault probability for each location is calculated by minimizing the difference between the symptom probabilities calculated from the count information and those fitted by the total probability formula. Then, the fault symptom association model is designed to synthesize the causal and the probabilistic diagnostic information. Finally, a model-based maximal contribution diagnosis algorithm is developed to locate the IC faults. Experimental results of three case studies show that the proposed method can accurately and efficiently identify various IC fault location scenarios in networks.

Innovative Research and Applications in Hydrodynamics and Flow Control

This work aims to collect cutting-edge developments in the area of hydrodynamics and flow control, including both fundamental and engineering research [...]

CANival: A multimodal approach to intrusion detection on the vehicle CAN bus

Vehicles of today are composed of over 100 electronic embedded devices known as Electronic Control Units (ECU), each of which controls a different component of the vehicle and communicates via the Controller Area Network (CAN) bus. However, unlike other network protocols, the CAN bus communication protocol lacks security features, which is a growing concern as more vehicles become connected to the Internet. To enable the detection of intrusions on the CAN bus, numerous intrusion detection systems (IDS) have been proposed. Although some are able to achieve high accuracy in detecting specific attacks, no IDS has been able to accurately detect all types of attacks against the CAN bus. To overcome the aforementioned issues, we propose a multimodal analysis framework named CANival, which consists of time interval-based and signal-based analyzers developed by designing a novel Time Interval Likelihood (TIL) model and optimizing an existing model CANet. Experimental results show that our multimodal IDS outperforms the base models and enhances the detection performance testing on two recent datasets, X-CANIDS Dataset and SynCAN, achieving average true positive rates of 0.960 and 0.912, and true negative rates of 0.997 and 0.996, respectively.

Design of a Portable Electronic Nose for Identification of Minced Chicken Meat Adulterated With Soybean Protein Isolate

ABSTRACTThe study aimed to develop a portable electronic nose system for detecting adulteration with soybean protein isolate (SPI) in chicken meat. The system mainly consisted of three parts: the gas sensor array, the DSP28335 control board, and the upper computer. The DSP28335 control board, developed using C language, included analog to digital converter (ADC) module, digital output (DO) module, pulse width modulation (PWM) module, controller area network (CAN) module, power module, drive circuit, and so forth. The upper computer, developed using LabVIEW, facilitated user interaction with the user by primarily handling CAN configuration and monitoring, displaying and storing sensor data, temperature and flow data, and sending and monitoring electronic nose commands. The feasibility of the proposed electronic nose for characterizing adulterated chicken meat was tested on six classes of chicken meat that had been adulterated with varied quantities of SPI. The mass fractions of SPI were 0%, 5%, 10%, 15%, 20%, and 25%, respectively. On the basis of odor data from the electronic nose, K‐nearest neighbor (KNN), linear discriminant analysis (LDA), and support vector machine (SVM) were applied to qualitatively distinguish minced chicken meat with different adulteration ratios. The results showed that the SVM model had the best recognition effect. When the best parameters (c, g) were c = 16 and g = 1, the accuracy of SVM model was 97.22% and 93.75% in the training and testing sets, respectively. These results demonstrated that the portable electronic nose designed in this paper effectively identifies minced chicken meat under various adulteration conditions, enabling rapid and nondestructive detection of chicken meat adulteration.

International and domestic experience in standard regulation of bottled drinking water quality

Regulatory control of the quality of bottled drinking water is an important area of protecting health and enhancing quality of life in population, including children. The aim of the study is to conduct a comparative analysis of regulatory measures for the quality of bottled drinking water based on chemical indices, with a view to considering international standards to improve the Russian legal framework in this field. The analysis incorporates foreign regulatory and legal instruments in the area of control and monitoring of the quality of packaged drinking water, such as the Codex Alimentarius and directives of the European Parliament, Council of the European Union, Code of Special Regulations of Food and Drug Administration, ТР ЕАЭС 044/2017 Technical Regulations.Current international and domestic regulations, ensuring bottled water quality, have been analyzed. In spite of the fact that regulatory documents comprise fifty three common indices, over half of the international standard values differ significantly as compared to ТР ЕАЭС 044/2017 Regulations. There are noted advantages of domestic regulations, considering the specific requirements for bottled drinking water for children and the physiological benefits of water. In this study, only the regulation of chemical indices in packaged drinking water has been considered based on 4 regulatory documents. Additionally, the work has not taken into account in detail those indices that are not included in domestic regulations. Conclusion. A comparative analysis of international and national regulations has shown the Russian Federation to have more stringent requirements for the regulatory values of bottled water quality. Taking into account current trends it is necessary to improve and expand constantly the system of regulatory quality control of bottled drinking water by including those indices concentrations of which are regulated by international legislation.