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Activated carbons were prepared by carbonization and activation of Coula eludies seed shells. This was done using ZnCl2 as the activating chemical and the activation was done using sample to activating chemical ratios of 1: 10 and 1:20 (g/v). The activated carbon obtained were characterized by determining the percentage yield, moisture content, ash content and percentage fixed carbon. The adsorption of methylene blue by the activated carbon was done using 100mg to 500mg of the activated carbon. The results revealed that the yield, moisture content, ash content and percentage fixed carbon of 1:10 impregnated activated carbon were 41.94%, 11.20%, 7.00% and 92.00% respectively while that of the 1:20 impregnated activated carbon were 38.76%, 18.56%, 5.50% and 96.50% respectively. These results show that the yield and the ash content of 1:10 impregnated activated carbon is higher than that of 1:20 impregnated activated carbon. While 1:20 impregnated activated carbon has higher moisture content and percentage fixed carbon. The adsorption study also revealed that 1:20 impregnated activated carbon had greater adsorption capacity. However adsorption efficient was increased with increase in adsorbent dosage.

Over several years, 5-Nitro 2-Furaldehyde Semicarbozone, otherwise known as Nitrofurazone has been in widespread use as anti-bacterial drug. The recording of FTIR and Laser Raman Spectra is done for the characteristic vibrations of C=N, N-N and furan ring systems and the tentative vibrational assignments have been reported. In the present investigation, vibrational assignments has been carried out for the molecule of the title compound using fundamental modes of vibration observed in Infrared and Raman Spectroscopy. The vibrational modes are classified into a’ and a” irreducible representations. Thus 42 fundamental modes of vibration ie.29a’ and 13a” vibrations are considered. A satisfactory vibrational band assignment has been made by using the FTIR Laser Raman Spectra of the compound.

The low voltage profile of the Nigeria grid results in poor voltage regulation in the network. The objective of this paper is to improve the voltage profile of the network using Static Var Compensator. The condition of the network was obtained through load flow technique. After performing load flow analysis, it was observed that some buses were violated that is, they were operating below the standard limit of 0.95 - 1.05 PU (313.5kV - 346.5kV). The Static Var Compensator is an important FACTS device which contains majorly a combined combination of the capacitor, inductor and the thyristor. The installation of SVC helped to improve the voltage profile of the affected buses to 1PU.

This study evaluated water quality of the Ashaiman reservoir and fish holding facilities at a hatchery close to the reservoir. Physicochemical parameters, nutrients, productivity and fish pathogenic bacteria were determined monthly. Physicochemical parameters at all sites were within suitable range for fish production. Nutrient levels were however significantly higher in the culture facilities than the reservoir (P<0.05). Productivity levels and pathogens were above the suitable limit in hatchery tanks but within acceptable range in the reservoir. A water quality index (WQI) of 100.01 for the reservoir is indicative of poor quality. Pathogenic bacteria load was high and should be of concern to the fish hatchery operations.

A critical aspect of applications with wireless sensor network lifetime. Power –constrained wireless sensor networks are usable as long as they can communicate sensed data to a processing node. In this paper, we have depicted the over view of the blocks required for the wireless sensor network information about the hardware parts to some extent .These hardware parts are the necessary requirement for enhancement of our work further sensing and communications consume energy, therefore judicious power management and sensor scheduling can effectively extend network lifetime.[1] Moreover, in existed paper which only had few sensor and 8051 processor have been replaced by the efficiently proposed method having PIC processor to be processed along with sensor module which can be of any type based on their availability.[7] This paper propose an efficient method to extend the sensor network life time by organizing the Sensors into a maximal number of set covers that are activated successively. Only the sensors from the current active set are responsible for monitoring all targets and for transmitting the collected data, while all other nodes are in a low-energy sleep mode. By allowing sensors to participate in multiple sets, our problem formulation increases the network lifetime. [3]

Low density polyethylene samples were reinforced with wood fibres from Dracaena arborea, the fibres were either bleached, unbleached, blended, unblended or in the acetylated form. Films formed after reinforcement of the polyethylene with the various forms of the fibres were tested to confirm their mechanical properties like tensile strength and tensile modulus. Moisture regains and water imbibitions were also determined. The reinforced samples were compared with a film formed from pure polyethylene. Mechanical properties of the wood fibre reinforced polyethylene composites were better than that of pure polyethylene. Pure polyethylene has a tensile strength of 20kN/m2 and tensile modulus of 219kN/m2 while the bleached and blended wood fibre reinforced polyethylene had a tensile strength of 42kN/m2 and tensile modulus of 3620kN/m2. Therefore, the reinforced polyethylene is suitable for use as specially tailored light weight structural parts in reinforcement. Whereas pure polyethylene is stable and resistant to environmental decomposition, the wood fibre reinforced polyethylene is renewable due to its ability to absorb moisture and imbibe water. Also, the wood fibre treatment showed improved moisture absorption and water imbibition potentials. This offers the possibility of biodegradation thereby meeting environmental demands.

Monitoring technology has advanced dramatically in recent years in various locations, both urban and rural. The Internet of Things (IoT) enables the remote control and collecting of data from sensors for their subsequence analysis. Thus, LiFi was proposed as an enabling technology for IoT in indoor environments. This enables the supermarket automation through the use of IoT topology. However, the absence of mutual trust can create a barrier to implementation. To conduct cryptocurrency transactions, blockchain technology has been widely employed. It has recently shown to be effective in establishing confidence in the Internet of Things (IoT) domain. This paper offered a method for integrating IoT features into supply chains. While strengthening the security of IoT-based supply chain management, our suggested architecture streamlines data sharing and decreases computational, storage, and latency needs.

The aim of the present paper is to find some exact solutions of steady two dimensional finitely conducting incompressible non-Newtonian fluid flow under the presence of transverse magnetic field using transformation of variables. We have considered, vorticity distribution proportional to the stream function perturbed by a quadratic stream. Moreover, the results are shown by various graphs.

Both Han and Mongolian nationalities have advocated and valued education since ancient times, so teaching idioms are also abundant. Before classifying the semantics of Chinese and Mongolian educational idioms, it is necessary to trace back to the origin and study the origin of the idioms in these two languages. The origin of idioms is the soil that produces idioms, and each idiom has its own unique source. Idioms are derived from the ancestors of different nationalities' summaries of daily life, customs, historical stories, myths, legends, famous people's words and social experiences, as well as people's own experiences and wisdom. Chinese and Mongolian idioms are interlinked it this point.

Nowadays, optimization algorithm has good efficiency in solving complicated optimization problems. The main capabilities of theses algorithms are the ability to search in very big spaces in short time, escape from local optimal points, low computational costs and easy implementation. Therefore, one of the popular methods for solve complicated optimization is to use optimization method based on swarm intelligence. In this paper, we discuss about Bacterial Foraging Optimization Algorithm (BFOA) and Particle Swarm Optimization (PSO) in continuous optimization area and use them in minimizing the number of continuous functions. The obtained results indicated that PSO had better efficiency to solve continuous optimization problems.