Process modeling and optimization of magnetic field pretreatment of sweet pepper and fluted pumpkin leaf

Modeling and optimization of magnetic field (MF) pretreatment of sweet pepper (SP) and fluted pumpkin leaf (FPL) were done with Response Surface Methodology. Three pretreatment factors combined were: types of MF (static, pulse and alternating), MF strength (5 - 30 mT) and pretreatment time (5 - 25 min). All the MF pretreated, control (blanched) and fresh samples were dried at 50 ˚C and analyzed for fibre, vitamin C, potassium, microbial load and colour; data obtained were used for modeling and optimization of the process. Results showed that the selected 30 developed model equations reliably described the characteristics of the process with adequate precision values of greater than four (4) and significant probability values (P ≤ 0.05) in all cases. The best optimized process conditions for the MF pretreatment process are Static MF at 14.31 mT magnetic field strength and 16.40 min pretreatment time for SP and Alternating MF at 10.42 mT magnetic field strength and 9.96 min pretreatment time for FPL. Magnetic field (non-thermal) pretreatment was able to achieve all the optimization goals better than blanching (thermal) pretreatment

Data rate profiles of coded/uncoded power line channel with single-carrier/multicarrier modulation techniques

The power-line communication (PLC) technique involves sending information through an electrical conductor for a commercial or domestic purpose. Lately, electronic means of communication have gained popularity for the transfer of information. Conversely, there is an increased requirement for more transmission media, like the use of power line as a communication channel for remote data delivery. This paper focuses on determining the data rate profile achievable using the single-carrier/multicarrier modulation techniques with Reed- Solomon concatenated convolutional (RS-CC) codes for data transmission through a power line channel. In this investigation, MATLAB/SIMULINK was used to explore a low-voltage power line as a communication channel for high data transmission rate. Data transmission was accomplished by utilizing a parametric model of a power line channel with the different kinds of noise considered in the simulation. In the designed power-line communication (PLC) system, single-carrier modulation offered a maximum of 14.4 Mbps reduction in the data rate when the uncoded 64-quadrature amplitude modulation (QAM) was compared to coded 64-QAM with 1/2 forward error correction (FEC). In the OFDM power-line communication (PLC) system, the decrease in the data rate was maximal at 39 Mbps when the uncoded 16-QAM was contrasted with the 16-QAM having 1/2 FEC. It was evident that the increased code rate of the PLC system using single-carrier and OFDM modulation implied increased data rate profile

Dataset on cellular and geo-spatial information of a 10 km distance along Akure-Ilesha road

This dataset contains cellular and geo-spatial information of a 10 km distance along Akure-Ilsha road in Ondo state, Nigeria. The data was acquired using a designed data acquisition system which was kept inside golf3 vehicle interfaced with Acer laptop, the data was acquired as the vehicle moves from the reference point (7.39919, 5.05944 ) to its destination point (7.32818, 5.10836), it harvests GSM signal Strengths from a base station in intervals with its time, latitude and longitude simultaneously as the vehicle moves along the travelled rout; the data acquired shows the var- iation of signal strength against distance along the road from one base station to another in the travelled path. The raw data of this work is hosted in the Mendeley repository DOI:10.17632/ tmksc8mkt8.

Dataset on cellular and geo-spatial information of a 10 km distance along Akure-Ilesha road

This dataset contains cellular and geo-spatial information of a 10 km distance along Akure-Ilsha road in Ondo state, Nigeria. The data was acquired using a designed data acquisition system which was kept inside golf3 vehicle interfaced with Acer laptop, the data was acquired as the vehicle moves from the reference point (7.39919, 5.05944 ) to its destination point (7.32818, 5.10836), it harvests GSM signal Strengths from a base station in intervals with its time, latitude and longitude simultaneously as the vehicle moves along the travelled rout; the data acquired shows the variation of signal strength against distance along the road from one base station to another in the travelled path. The raw data of this work is hosted in the Mendeley repositor

Dataset on cellular and geo-spatial information of a 10 km distance along Akure-Ilesha road

This dataset contains cellular and geo-spatial information of a 10 km distance along Akure-Ilsha road in Ondo state, Nigeria. The data was acquired using a designed data acquisition system which was kept inside golf3 vehicle interfaced with Acer laptop, the data was acquired as the vehicle moves from the reference point (7.39919, 5.05944 ) to its destination point (7.32818, 5.10836), it harvests GSM signal Strengths from a base station in intervals with its time, latitude and longitude simultaneously as the vehicle moves along the travelled rout; the data acquired shows the variation of signal strength against distance along the road from one base station to another in the travelled path. The raw data of this work is hosted in the Mendeley repository DOI:10.17632/tmksc8mkt8.

Heterogeneous LoRaWan Deployment for Application Dependent IOT Networks

In this study, we present an application-dependent heterogeneous LoRa network. Previous studies on LoRaWAN and particularly studies that rely on the use of adaptive data rate to optimize the performance of the network are based purely on the path loss of the nodes in the network with the assumption that all nodes in the network have similar requirements in terms of data rate and latency. In a real-life full-scale deployment, this is unlikely to be the case as the current LoRaWAN deployment trend shows that practical implementations are service-based. This approach means that critical applications will suffer reliability issues since they will have to compete with non-critical services for the same resources. To address this problem, we propose a heterogeneous LoRaWAN that is capable of providing support for applications ranging from delay-tolerant to delay intolerant with improved reliability through preferential transmission parameter allocation. Our study shows that this approach can increase the probability of successful uplink transmission of the critical applications by up to 44 percent and for transmitting nodes within a 3 km radius of the gateway, heterogeneous LoRaWAN possesses a 20 percent higher uplink packet delivery rate in comparison with the homogeneous network at the cost of slightly higher energy consumption

VEHICULAR SPEED DETERMINATION USING CELLULAR AND GEO-SPATIAL INFORMATION

The rapid increase in the occurrence of road accidents in Nigeria requires the deployment of real time techniques that is equipped to reduce one of the critical factor that have been identified by the Federal Road Safety cooperation of Nigeria (FRSC) that constitute the major cause of road accidents which is over speeding. This was achieved through the design and implementation of real time vehicle speed monitoring system using cellular signal along the travelled path. A data acquisition device was developed to capture in real time the signal strength and geospatial data (longitude and latitude) along the travel path which is used in determining the speed of the moving vehicle. The acquired data was correlated with data obtained from standardize equipment to establish the integrity of the data, the data was then used to develop the algorithm by obtaining equation for the path-loss gain in terms of signal strength against distance. Equation for the base stations covering a distance of 10km were obtained for analysis. Consequently from the equation, the distance from two locations along the route can be determined from corresponding signal strength values, the average speed results for the drive test, new Model and using Latitude and Longitude are compared as followed 88.05km/hr, 75.67km/hr and 88.2km/hr respectively. With this a new paradigm shift in vehicular speed management is developed based on Cellular signals for real time vehicular speed determination. Keywords: Base station, Cellular, Geospatial data, Signal Strength, Vehicular speed