9 research outputs found

    The Role of Biosensor in Climate Smart Organic Agriculture toward Agricultural and Environmental Sustainability

    Get PDF
    The application of climate smart agriculture technique has been identified as an important aspect in proffering solutions for most of the challenges to climate change mitigation as well as environmental and agricultural sustainability. Several biosensors and biosensing machineries such as nanoparticles/nanomaterials, polymers and microbes built-biosensors as well as their applications are now being used in most part of the world for solving some of the challenges in agricultural activities, food production and its sustainability. However, it is significant to assimilate multi-faceted methods for sustainable development of more effective biosensors that can possibly be used for diverse applications especially in the area of climate smart organic/biological agriculture for environmental sustainability. Smart monitoring employing biosensors will ensure that biochemical and other categories of contaminants are kept at bay from conceding the quality and safety of food via the mitigation of pest and pathogens that could affect agricultural produce. Hence, this study will attempt to provide an overview of what has been done from previous studies on biosensing technologies and their wide application in climate smart organic/biological agriculture as well as their role in environmental sustainability, and this will assist in proffering useful suggestions for future research studies as future contribution to knowledge for the advancement in agricultural and environmental sustainability

    Performance Enhancement in Cellular Network Using Decoding-based Successive Interference Cancellation Technique

    Get PDF
    Interference if not properly attended to could have negative influence on the air interface performance of any wireless network service. Hence, there is a need to moderate interference in cellular network system. This study is aimed at analysing the performance of decoding-based successive interference cancellation technique. The was done analysing the performance of decoding based successive interference cancellation on uplink High Speed Uplink Packet Access Enhanced Dedicated Physical Data Channel. From the analysis, simulations and results obtained from this study, we have been able to show that this technique would reduce the load of the cell and increase the network capacity of the cellular network provider, thereby improving the quality of service

    Takagi-Sugeno Integrated Fuzzy System in Subsurface Identification

    Get PDF
    This study investigates the possibility of using the rule-based fuzzy (FZ) inference method to analyse petrophysical data (DT). Some well logs (WL) DT provided by Shell Producing Development Company (SPDC), Nigeria, were utilised for this study. The exploration WL DT were clustered using an unsupervised neural network. The rule-based lithology (LTG) procedures were established from the training DT sets, and the procedure strength is weighted. The Takagi-Sugeno inference arrangement and the centroid of extent defuzzification technique were employed for the FZ inference. It was observed that FZ inference systems provide fast and comprehensive details of the LTG and fluid content of the subsurface structure of the petrophysical DT that was interpreted

    Wireless Sensor Networks: Applications and Challenges

    Get PDF
    Wireless sensor networks (WSNs) allow innovative applications and involve non-conventional models for the design of procedures owing to some limitations. Due to the necessity for low device complication and low consumption of energy, an appropriate equilibrium among communication and signal processing abilities should be instituted. This stimulates an enormous effort in research actions, standardisation procedure, as well as manufacturing investments on this aspect since the preceding years. Therefore, this chapter aims at presenting a summary of WSNs machineries, foremost applications and values, structures in WSNs project, and the developments drawn from some evidence and meta-data-based survey and assessments. Precisely, some applications, such as those based on ecological monitoring, and design approaches that emphasise a real implementation are discussed briefly. The trends and conceivable developments are outlined. Emphasis is given to “the Institute of Electrical and Electronics Engineers (IEEE) 802.15.4 technology” that enables several applications of WSNs. Hence, it is anticipated that this chapter would serve as an introductory aspect on the applications and challenges of WSNs for persons interested in WSNs

    Performance Enhancement in Cellular Network Using Decoding-based Successive Interference Cancellation Technique

    No full text
    Interference if not properly attended to could have negative influence on the air interface performance of any wireless network service. Hence, there is a need to moderate interference in cellular network system. This study is aimed at analysing the performance of decoding-based successive interference cancellation technique. The was done analysing the performance of decoding based successive interference cancellation on uplink High Speed Uplink Packet Access Enhanced Dedicated Physical Data Channel. From the analysis, simulations and results obtained from this study, we have been able to show that this technique would reduce the load of the cell and increase the network capacity of the cellular network provider, thereby improving the quality of service

    Correction: Removal of fluoride ions using a polypyrrole magnetic nanocomposite influenced by a rotating magnetic field

    No full text
    Correction for ‘Removal of fluoride ions using a polypyrrole magnetic nanocomposite influenced by a rotating magnetic field’ by Uyiosa Osagie Aigbe et al., RSC Adv., 2020, 10, 595–609

    Removal of fluoride ions using a polypyrrole magnetic nanocomposite influenced by a rotating magnetic field

    No full text
    The impact of a varying rotating magnetic field in stimulating adsorption of fluoride ions onto a polypyrrole magnetic nanocomposite synthesized via in situ a polymerization process was evaluated. Under the effect of a rotating magnetic field, improved removal of adsorbate (10 mg L 1 ) from aqueous solution using the polypyrrole magnetic nanocomposite was observed, with a maximum removal of 78.2% observed at a magnetic field intensity of 0.019 T. Particle aggregation resulting from the force owing to the gradient on the particles as the magnetic field was increased resulted in improved fluoride removal. This aggregation of particles leads to an improved chain collision and expanse of particle interaction with the fluoride solution. The process of adsorption of fluoride by the PPy/Fe3O4 nanocomposite followed both the Freudlich isotherm and the Temkin isotherm. Interestingly, under the effect of the rotating magnetic field, the adsorption process was best described by the Freundlich isother

    Comparison of kernel density function in detecting effects of daily emission of Sulphur (IV) oxide from an industrial plant

    Get PDF
    Air pollution is a major concern of environmentalists because of the importance of air to man and other living organisms. This paper is about the investigation on the effects of daily emission of Sulphur (IV) oxide from an industrial pollutant using a nonparametric estimator which is the kernel estimator. Nonparametric estimators are free from distributional assumptions owing to the fact that most real-life data are not from a particular family of distribution. The functionality of this estimator is contingent on the smoothing parameter also called the bandwidth that determines the degree of the smoothness applied when analyzing the data. The bandwidth is extrapolated by minimizing the asymptotic mean integrated squared error which is the objective function of the kernel estimator. In this investigation, we selected some kernel functions of the beta family with the Gaussian kernel and obtained their bandwidths or smoothing parameters with respect to their distribution. The result of the analysis showed that an increase in number of tons of Sulphur (IV) oxide was associated with higher concentration level of the gas which suggests a potential danger of the gas to humans, animals and plants in the environment

    Bioenergy revamping and complimenting the global environmental legal framework on the reduction of waste materials:A facile review

    No full text
    The challenges posed by climate change/global warming are very alarming, and they have become the focal point of attention for researchers within the global environmental domains. The development of bioenergy can help salvage this situation as a renewable energy source that makes use of recycled waste materials to create useful energy products. This review study found that the development of sustainable bioenergy is environmentally friendly, and it has been proven to be a better means of recycling waste materials into final energy products for sustainable development. The study hereby concluded and recommended that environmental policies concerning the sustainable development of bioenergy should be adopted within the various nations' local laws and the global environment at large, as this will result in adhering strictly to international environmental legal frameworks regulating the prevention and reduction of waste materials. The possible correlation of bioenergy with the Sustainable Development Goals is also highlighted
    corecore