Area Network Research Articles

Enhancing Growth of Upland Rice in Low-Phosphorus Soil by Leveraging Root Morphological Traits

Low phosphorus (P) in the upland ecosystems negatively, influence rice growth and causes significant yield losses. In the present study, 9 upland rice genotypes were screened to identify root traits that support the growth in low P soil in a cement tank. Rice genotypes showed significant (p = ≤ 0.05) variation for number of root tips (NRT), number of root branching points (NBP), total root length (TRL), whole root network area (NA), average root diameter, root volume (RV), root surface area (RSA), first order root length (FORL), and second order root length (SORL). BW01 and ITA01 recorded the highest NRT, NBP, TRL, RV, NA, RSA, FORL and SORL while NERICA04 had the lowest representing 5.8, 8.0, 7.6, 6.8, 9.0, 5.8, and 9.3 differences in these traits under low P soil. NRT significantly positively correlated with NBP, TRL, NA, RV, RSA, FORL indicating the role of different root traits in foraging for soil nutrients. The principal component analysis (PCA) showed that the NRT, NBP, TRL, RSA and SORL are important and effective root traits for selection in rice breeding under low P soil supply. BW01 and ITA01 recorded well developed root system indicating that they are P-efficient than P-inefficient NERICA04 under low P soil conditions. Therefore, BW01 and ITA01 can targeted for cultivation in P deficient soils and also used as donor of novel root traits to improve P-inefficient rice cultivars.

Role-Based Access Control (RBAC) Enabled Secure and Efficient Data Processing Framework for IoT Networks

Internet of Things (IoT) has the potential to significantly impact various domains e.g. health, transportation, automation, and emergency response to both man-made and natural disasters, particularly in scenarios where human decision is challenging. In this research a Role-Based Access Control (RBAC) Enabled Secure and Efficient Data Processing Framework for IoT Networks has been proposed. This framework ensures robust security and optimized data handling through granular access control mechanisms based on predefined roles. By leveraging RBAC, it mitigates unauthorized access risks, thereby safeguarding sensitive IoT data during transmission and storage. Our approach emphasizes efficiency by streamlining data processing workflows, reducing latency, and optimizing resource utilization. The framework is designed to scale with IoT network expansions and adapt to evolving security needs, promising enhanced reliability and trustworthiness in data operations for contemporary IoT environments. According to this research work current security effectiveness is 99 percent.Home area network (HAN) can be used for smart connectivity of different home appliances using IoT and automatic start and stop feature may be possible.Access control server (ACS) is used to control access and provide permission for different operations.

Evaluating the impact of porcupine systems in the flow field of the river: a hydrodynamic model study

ABSTRACT Riverbank and in-stream protection are crucial in numerous river stretches, where erosion of banks and bed material instigates river course alterations, consequently leading to land and property damage. In large Indian braided rivers like Brahmaputra, implementing tetrahedron frames commonly referred to as ‘porcupines’ has emerged as a cost-effective strategy for river training, yielding commendable outcomes in near bank sedimentation. Using flexible river training structures, such as porcupine, presents an appealing option for managing braided river channel networks in areas where permanent control structures like groynes or dams prove excessively costly or potentially ineffective, particularly in systems exhibiting highly dynamic flow regimes and morphology. This work aims to develop a hydrodynamic model that integrates the porcupine systems within its framework. The model’s effectiveness was assessed through a field test near Nematighat, Brahmaputra River, in collaboration with Assam’s Water Resources Department. The mathematical modelling provided some valuable insights regarding the flow characteristics surrounding the porcupine structure, shedding light on its hydrodynamic behaviour.

Transmission challenges in metropolitan area optical networks

Abstract For implementing wide/metropolitan area network in optical fiber communication system the key technology that can be utilized is wavelength division multiplexing (WDM). We discuss the use of WDM in metropolitan networks along with its special feature of using optical add drop multiplexers and also design issues in implementing these systems. The issue of nonlinear crosstalk induced in metropolitan networks is considered in terms of power penalty. Also, the effect of dispersion induced in optical fibers is considered by using two types of transmission systems. One is considering the non-zero dispersion shifted fiber (NZDSF) in dispersion effected environment and second is, implementing dispersion compensation after normal single mode fiber (SMF + DCF). The effect of nonlinear cross talk which can limit transmission performance is discussed in both cases in context with different parameters like power penalty, frequency difference between signal & crosstalk and transmission distance etc.

Power Peak Sources for Isolated Network.

In the little area networks with one generator, any greater power step in load causes energy quality problem, namely if in GEN-SET (Generating sets) the modern VSCF technology (variable speed - constant frequency) is used to reach the fuel consumption saving. The voltage stability is improved there, thanks the frequency converter output, but another problem appears - engine cannot accelerate from low speed at higher power step-up load. Possible solution of peak-power delivery into VSCF system (from accumulator, inter-circuit capacitors or ultra-capacitors) is main task of this paper.

Experience in construction and operation of sewerage networks in areas with deep seasonal ground freezing across different regions of the Russian Federation

Reviewing the experience in construction and operation of sewerage networks in areas with deep seasonal ground freezing across different regions of the Russian Federation. Methods: analyzing the sewer pipeline laying, in-situ observations of wastewater temperature regime at sewer outlets from residential buildings. Results: designs of sewer pipelines laid in different regions are presented, as well as their dependence on the depth of seasonal ground freezing in different regions of the Russian Federation. The actual values of sewage water temperature at sewage outlets from residential buildings are established. Practical significance: In a number of regions the laying of sewerage pipes at a depth of 1.5-1.8 m led to normal and stable operation of sewerage pipelines. In terms of capital expenditures, sewer pipelines account for more than 50% of the estimated cost of the entire wastewater disposal system. Their operation claims a significant share of the costs.

Predicting Resource Utilization Trends with Southern California Petabyte Scale Cache

Large community of high-energy physicists share their data all around world making it necessary to ship a large number of files over wide- area networks. Regional disk caches such as the Southern California Petabyte Scale Cache have been deployed to reduce the data access latency. We observe that about 94% of the requested data volume were served from this cache, without remote transfers, between Sep. 2022 and July 2023. In this paper, we show the predictability of the resource utilization by exploring the trends of recent cache usage. The time series based prediction is made with a machine learning approach and the prediction errors are small relative to the variation in the input data. This work would help understanding the characteristics of the resource utilization and plan for additional deployments of caches in the future.

An application of small-world network on predicting the behavior of infectious disease on campus

Networks haven been widely used to understand the spread of infectious disease. This study examines the properties of small-world networks in modeling infectious disease on campus. Two different small-world models are developed and the behaviors of infectious disease in the models are observed through numerical simulations. The results show that the behavior pattern of infectious disease in a small-world network is different from those in a regular network or a random network. The spread of the infectious disease increases as the proportion of long-distance connections p increasing, which indicates that reducing the contact among people is an effective measure to control the spread of infectious disease. The probability of node position exchange in a network (p2) had no significant effect on the spreading speed, which suggests that reducing human mobility in closed environments does not help control infectious disease. However, the spreading speed is proportional to the number of shared nodes (s), which means reducing connections between different groups and dividing students into separate sections will help to control infectious disease. In the end, the simulating speed of the small-world network is tested and the quadratic relationship between simulation time and the number of nodes may limit the application of the SW network in areas with large populations.

Integration of distributed acoustic sensing for real-time seismic monitoring of a geothermal field

To accelerate the energy transition, the exploitation of deep geothermal reservoirs is becoming a priority to supply district heating networks in areas with high potential for geothermal applications. However, the sustainable development of the resource exploitation implies minimizing the associated risks, in particular related to induced seismicity, while optimizing operational processes. Besides, the growth of this energy sector, often supported by financial aid programs, provides resources to the industry that were not available in the past to implement advanced monitoring strategies. In this context, we present a monitoring system establishing Distributed Acoustic Sensing (DAS) as an effective component of the seismic network used for the monitoring of the geothermal field of Schäftlarnstraße (Munich, Germany). We also investigate its potential for real-time seismic monitoring in an urban environment and for risk mitigation. The monitoring system is based on a data management system linking the on-site acquisition infrastructure, including the fiber optic cable deployed in an injection well and the associated DAS interrogator, to a cloud Internet-of-Things (IoT) platform. The latter is designed to deliver both a secure storage environment for the DAS recordings and optimized computing resources for their processing. The proposed solution has been tested over a six-month period under operating conditions of the geothermal field. The survey proves the feasibility of efficiently acquiring and processing the large flow of continuous DAS data. The processing outcomes, emphasized by two detected local seismic events, demonstrate the suitability of DAS, cemented behind the casing of a flowing well, for (micro-) seismic monitoring of the geothermal site. The processing applied to the data takes advantage of the high spatial density of the acquisitions for their de-noising and for the detection of events. We find that the DAS monitoring system is capable of successfully detecting an event that could not be detected by the standard surface or shallow-borehole 3C-seismometers, despite noisy conditions associated with the urban environment and the field operation. The six-month test period demonstrates the potential of DAS to be integrated as a routine seismic monitoring component of an operating geothermal field. In addition, it highlights its advantageous role as a complement to surface seismometer-based networks, particularly in urban environments.

Coverage Strategy for Small-Cell UAV-Based Networks in IoT Environment

In wireless communication, small cells are low-powered cellular base stations that can be used to enhance the coverage and capacity of wireless networks in areas where traditional cell towers may not be practical or cost-effective. Unmanned aerial vehicles (UAVs) can be used to quickly deploy and position small cells in areas that are difficult to access or where traditional infrastructure is not feasible. UAVs are deployed by telecommunication service providers to provide aerial network access in remote rural areas, disaster-affected areas, or massive-attendance events. In this paper, we focus on the scheduling of beaconing periods as an efficient means of energy consumption optimization. The conducted study provides a sub-modular game perspective of the problem and investigates its structural properties. We also provide a learning algorithm that ensures convergence of the considered UAV network to a Nash equilibrium operating point. Finally, we conduct extensive numerical investigations to assist our claims about the energy and data rate efficiency of the strategic beaconing policy (at Nash equilibrium).

ПІДВИЩЕННЯ ЕФЕКТИВНОСТІ РОЗПОДІЛЬНИХ МЕРЕЖ РАЙОНІВ МАЛОПОВЕРХОВОЇ ЗАБУДОВИ МІСТ

The article analyzes the methods of estimating the parameters and regimes of electrical distribution networks in areas of low-rise urban development. A method for optimizing the parameters of distribution networks of 0.38 kV under conditions of uncertainty of the initial information is proposed. It is shown that one of the unsolved problems of calculating the parameters of distribution electric networks of cities is the determination of the estimated load of utility consumers. Its dependence on the characteristics of consumers and their number connected to the lines of city transformer substations causes the low accuracy of calculations. In this case, the error of calculating the transformer substations load can reach 10-25%, and the error of calculating the cross-sections of 0.38 kV lines reaches 40%. In the assumption of the constancy of the total length of the lines of urban electric networks and the invariance of the distance between loads, calculation formulas for linear moments and load distribution coefficients are proposed, and based on them, models of intersection and power losses in lines are developed. Taking into account the developed models, we offer discounted cost models for 0.38 kV networks and transformer substations when calculating economic current density and allowable voltage costs. Keywords: optimization, distribution networks, uncertainty, efficiency, low-rise building, scheme.

Can we manipulate brain connectivity? A systematic review of cortico-cortical paired associative stimulation effects

ObjectiveCortico-cortical paired associative stimulation (ccPAS) is a form of dual-site transcranial magnetic stimulation (TMS) entailing a series of single-TMS pulses paired at specific interstimulus intervals (ISI) delivered to distant cortical areas. The goal of this article is to systematically review its efficacy in inducing plasticity in humans focusing on stimulation parameters and hypotheses of underlying neurophysiology. MethodsA systematic review of the literature from 2009–2023 was undertaken to identify all articles utilizing ccPAS to study brain plasticity and connectivity. Six electronic databases were searched and included. Results32 studies were identified. The studies targeted connections within the same hemisphere or between hemispheres. 28 ccPAS studies were in healthy participants, 1 study in schizophrenia, and 1 in Alzheimer’s disease (AD) patients. 2 additional studies used cortico-cortical repetitive paired associative stimulation (cc-rPAS) in generalized anxiety disorder (GAD) patients. Outcome measures include electromyography (EMG), behavioral measures, electroencephalography (EEG), and functional magnetic resonance imaging (fMRI). ccPAS seems to be able to modulate brain connectivity depending on the ISI. ConclusionsccPAS can be used to modulate corticospinal excitability, brain activity, and behavior. Although the stimulation parameters used across studies reviewed in this paper are varied, ccPAS is a promising approach for basic research and potential clinical applications. SignificanceRecent advances in neuroscience have caused a shift of interest from the study of single areas to a more complex approach focusing on networks of areas that orchestrate brain activity. Consequently, the TMS community is also witnessing a change, with a growing interest in targeting multiple brain areas rather than a single locus, as evidenced by an increasing number of papers using ccPAS. In light of this new enthusiasm for brain connectivity, this review summarizes existing literature and stimulation parameters that have proven effective in changing electrophysiological, behavioral, or neuroimaging-derived measures.

Anxiety and Obesity in Children: Anti-oxidative Medications and Hyperbaric Oxigenation Therapy

IntroductionObesity is a grave problem in pediatrics and child psychiatry. It was revealed that in many cases obesity has comorbidity with different mental disorders. Besides a number of endocrine disturbances, immune system deficiency and oxidative stress with free radical oxidation take part in pathogenesis of these phenomena.ObjectivesThe essence of the therapeutic effect of hyperbaric oxygen lies in the fact that under the influence of elevated barometric pressure, oxygen saturation of body fluids increases: blood, interstitial fluid, which deliver oxygen to organs and tissues, increasing oxygen supply to cells by 5-10 times and eliminating hypoxia (oxygen starvation tissues). Hyperbaric oxygen, normalizing blood circulation in tissues and metabolic processes at the cellular level, has a number of effects that favorably affect the patient’s condition: promotes the formation of a new vascular network in areas where it is damaged or insufficient, has anti-edematous, anti-inflammatory and wound healing effects, has an immunocorrective effect , normalizes hormonal status, enhances the action of a number of pharmacological agents. The aim of our research was to study effects of HBO on children suffering from anxiety and obesityas a result of the mental instability? S;eep disturbances and immune instabilityMethodsSessions of hyperbaric oxygenation were carried out at a pressure of 1.6 ATA: the first session lasted 45 minutes, subsequent sessions was 30 minutes. After HBO, each of the patients during the day showed a steady increase in the saturation index, which persisted until the morning of the next day. An analysis of fluctuations in the saturation index during the day showed its decrease in all patients to a minimum value at 8 am and its general dynamic increase from the beginning of hyperbaric oxygenation. Parameters of immune status, including serum concentrations of IgA, IgM and IgG, circulating immune complexes were studied in pediatric patients, aged from 10 to 14 years old, 42 girls and 34 girls. Mapping EEG was used for evaluation of electric brain activity.ResultsIt was found that HBO treatment normalized mental state: patients demonstrated less anxiety and overeating habits, тormalization of sleep, positive dynamics of sleep, reflected in the EEG pattern in the form of alpha waves. Immune reactions were changed: IgA, IgM and IgG, were increased and CIC serum level decreased.ConclusionsThe use of antioxidant therapy in combination with psychopharmacological drugs has long been a well-established method of treatment for a variety of psychopathological conditions. The inclusion of hyperbaric oxygenation in this complex also helps to achieve more distinct results in terms of weight loss in obesity and normalization of the mental state, improved sleep and significant immunocorrection.Disclosure of InterestNone Declared

Overview and potential implementation of a marine protected area network between Colombia, Nicaragua, and Jamaica

The United Nations recommends increasing protected area coverage to 30% by 2030 through representative and effective networks of marine protected areas (MPAn). According to the International Union for Conservation of Nature (IUCN), the number of MPAs increased rapidly from 0.67% in 2000–7.4% by the end of 2018. Yet only around 5.9% of the world’s coral reef area is included within MPAs and the implementation of MPA networks in areas beyond national jurisdiction remains limited. Here we report results on the evaluation of the ecological criteria suggested by the IUCN for the potential implementation of a MPAn between Nicaragua, Jamaica, and Colombia on the southwestern side of the Caribbean Sea. We have reviewed the different legislative structures for protection in place and the international and regional agreements endorsed by Colombia, Nicaragua, and Jamaica in force in 2020, together with biophysical connectivity studies in the Caribbean basin. Results indicate that the three countries: (i) have similar ecosystems open to protection, (ii) have already developed different governance instruments to protect them, (iii) there is a coherence between permitted and prohibited activities that provides strong governance related support for the potential MPA network for all zoning categories and iv) have the legislation and common ground to lead a successful implementation. The study concludes that the establishment of an MPA network in the southwestern part of the Caribbean will be advantageous for the protection of other marine ecosystems in the basin, addressing transboundary issues by focusing on connectivity and the already established MPA.

Innovative-LAB

Abstract: The concept of Internet of Things (IoT) requires the seamless connectivity of millions of heterogeneous devices. In today’s World, implementation of IoT based smart Lab has drawn a huge attraction and become a prominent area of research. This research work presents an approach for smart Lab automation using IoT that can be controlled wirelessly. Lab automation system means monitoring and controlling of Lab appliances remotely using the concept of internet of things (IOT). In this method we use mobiles or computers to control the basic Lab appliance and make it function through the designed web page with internet connection/local area network (LAN) servers. This type of Lab is also known as smart Lab. The concept of applying automation in the sectors of housing is selling like hot cake. Western countries have welcomed the concept of automation into their Labs with open arms. Our country is keeping up with the pace of modernization too. Different approaches to automating Labs have been implemented. The best among this is Lab automation system using IOT. IOT provides the feasibility of operating the Lab automation system from anywhere around the world using internet. It reduces use of excessive or unnecessary human efforts and improves the standard of living of the people in our society.

Hyperactivity of the default mode network in schizophrenia and free energy: A dialogue between Freudian theory of psychosis and neuroscience.

The economic conceptualization of Freudian metapsychology, based on an energetics model of the psyche's workings, offers remarkable commonalities with some recent discoveries in neuroscience, notably in the field of neuroenergetics. The pattern of cerebral activity at resting state and the identification of a default mode network (DMN), a network of areas whose activity is detectable at baseline conditions by neuroimaging techniques, offers a promising field of research in the dialogue between psychoanalysis and neuroscience. In this article we study one significant clinical application of this interdisciplinary dialogue by looking at the role of the DMN in the psychopathology of schizophrenia. Anomalies in the functioning of the DMN have been observed in schizophrenia. Studies have evidenced the existence of hyperactivity in this network in schizophrenia patients, particularly among those for whom a positive symptomatology is dominant. These data are particularly interesting when considered from the perspective of the psychoanalytic understanding of the positive symptoms of psychosis, most notably the Freudian hypothesis of delusions as an "attempt at recovery." Combining the data from research in neuroimaging of schizophrenia patients with the Freudian hypothesis, we propose considering the hyperactivity of the DMN as a consequence of a process of massive reassociation of traces occurring in schizophrenia. This is a process that may constitute an attempt at minimizing the excess of free energy present in psychosis. Modern models of active inference and the free energy principle (FEP) may shed some light on these processes.

MANAGEMENT OF PERMANENT LANDING AND TAKE-OFF AREAS NETWORK FOR HELICOPTER EMERGENCY MEDICAL SERVICES AND NATIONAL CRISIS MANAGEMENT

The aim of the article is to identify and describe the praxeological problem that for primary flights of Helicopter Emergency Medical Services and for fulfilling tasks within the national crisis management in emergency situations, we need to have a professionally managed and technologically secured network of permanent landing and take-off areas for helicopters, in the field and at the permanent centers of HEMS (or permanent airports). Technologies on these terrain landing areas are intended to improve the level of information security of helicopter flight crews, especially meteorological information for flights to "ad hoc" primary flight sites, or to use permanent terrain areas to bring a rescue team closer to the emergency operation site. The mentioned network is important for rescue helicopters, police, and air force helicopters for intervention in the field, in case of natural disasters, industrial accidents, or in solving the supervision of migratory waves, pandemic management in the region, etc. At the same time, these landing areas will guarantee the requirements for safe air traffic and the quality of the air services provided. The administration of the network of permanent landing areas for helicopters in the field can be co-financed in several sources, within the budget of the components of the integrated rescue system and crisis management of the state up to the share of funds from compulsory vehicle insurance in the relevant year, etc. Keywords: management, helicopters, medical services, crisis management.

An Intrusion Detection Model for Drone Communication Network in SDN Environment

Drone communication is currently a hot topic of research, and the use of drones can easily set up communication networks in areas with complex terrain or areas subject to disasters and has broad application prospects. One of the many challenges currently facing drone communication is the communication security issue. Drone communication networks generally use software defined network (SDN) architectures, and SDN controllers can provide reliable data forwarding control for drone communication networks, but they are also highly susceptible to attacks and pose serious security threats to drone networks. In order to solve the security problem, this paper proposes an intrusion detection model that can reach the convergence state quickly. The model consists of a deep auto-encoder (DAE), a convolutional neural network (CNN), and an attention mechanism. DAE is used to reduce the original data dimensionality and improve the training efficiency, CNN is used to extract the data features, the attention mechanism is used to enhance the important features of the data, and finally the traffic is detected and classified. We conduct tests using the InSDN dataset, which is collected from an SDN environment and is able to verify the effectiveness of the model on SDN traffic. The experiments utilize the Tensorflow framework to build a deep learning model structure, which is run on the Jupyter Notebook platform in the Anaconda environment. Compared with the CNN model, the LSTM model, and the CNN+LSTM hybrid model, the accuracy of this model in binary classification experiments is 99.7%, which is about 0.6% higher than other comparison models. The accuracy of the model in the multiclassification experiment is 95.5%, which is about 3% higher than other comparison models. Additionally, it only needs 20 to 30 iterations to converge, which is only one-third of other models. The experiment proves that the model has fast convergence speed and high precision and is an effective detection method.

Prodogious Potential of Redtacton Solitary and in Digital Network

Abstract: Communication between people and objects in close propinquity is feasible using technologies like Ethernet, IoT, Wifi, etc. Technologies connect objects, networks & people together for data sharing and thus make information ready for access.In new era of technology ,the network security has became the greatest challenge in digital networks. That creates a room and need to have more secure network technology.A breakthrough technology that consider body surface as secure medium is considered to be a promising technology in field of network security.Under Redtacton technology the signals are transmitted through the physical structure that ultimately supports “IEEE 802.3 half-duplex communication” and mobile terminals or seems similar terminals that are implanted within the environment. It uses the weak radio signals and transmit data at greater speeds efficiently.This technology can be applied in multiple application like, in field of banking, security checks, health, etc .During this paper we are going to discuss about Redtacton, and its perks as a secured network for digital system like ATM . we'll also compare enormous potential of Redtacton as an individual's area network with the other available technology .

Hydromorphometric Analysis of Wadi Al-Batin Alluvial Fan Using Remote Sensing and GIS Techniques, Southwestern Iraq

Wadi Al-Batin alluvial fan starts from Wadi Al-Rummah in Saudi Arabia and passes through the Kuwait and Iraq borders. The fan represents the southern and northern limits of the Iraq and Kuwait national boundary, respectively, deposited by Wadi Al-Batin on the southern border of the main wide depression formed by the effectiveness of the Abu Jir-Euphrates Fault. The present study aims to evaluate the hydrological properties of the fan and perform a morphometric analysis to find the groundwater flow, structural, and drainage network of the study area based on fieldwork information and satellite images using remote sensing technique and GIS environment. The hydrological analysis shows that the drainage density pattern direction in Wadi Al-Batin alluvial fan is from the southwestern to the northeastern parts of the Wadi Al-Batin alluvial fan. The morphometric analysis results show that the Wadi Al-Batin fan is divided into five watersheds; each has seven stream orders, watershed 1 has the highest value of stream order, and watershed 2 has the lowest value of stream order. The drainage texture value range between fine, moderate, and very fine, which indicates the geological setting of the region consists of the Dibdibba Formation exposed in the study area. Watershed 3 has the highest value, and watershed 1 has the lowest value of stream frequency. The form factor value for all watersheds is less than 0.5 and has an elongated shape. The watershed 3 has the highest basin relief value, while the watershed 4 has the lowest value of basin relief.