Archives-June... 

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effectively extend network lifetime.[1] Moreover, in existed paper which only had few sensor and 8051 processor have been replaced by the efficiently proposed method having PIC processor to be processed along with sensor module which can be of any type based on their availability.[7] This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]

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.

Built-in self-repair (BISR) techniques are widely used for repairing embedded random access memories (RAMs). One key component of a BISR module is the built-in redundancy-analysis (BIRA) design. This paper presents an effective BIRA scheme which executes the 2-D redundancy allocation based on a 1-D local bitmap. Two BIRA algorithms for supporting two different redundancy organizations are also proposed. Simulation results show that the proposed BIRA scheme can provide high repair rate (i.e., the ratio of the number of repaired memories to the number of defective memories) for the RAMs with different fault distributions. Experimental results show that the hardware overhead of the BIRA design is only about 2.9% for an 8192 64-bit RAM with two spare rows and two spare columns. Also, the ratio of the BIRA analysis time to the test time is only about 0.02% if the March-CW test is performed. Furthermore, a simulation flow is proposed to determine the size of the 1-D local bitmap such that the BIRA algorithm can provide the best repair rate using the smallest-size 1-D local bitmap.

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.

Since Superconducting Magnetic Energy Storage (SMES) unit with a self-commutated converter is capable of controlling both the active and reactive power simultaneously and quickly, increasing attention has been focused recently on power system stabilization by SMES control. In this paper investigates the self tuning control scheme for SMES is proposed and applied to Automatic Generation Control (AGC) in power system. The system is assumed to be consisting of two areas. The proposed self-tuning control scheme is used to implement the automatic generation control for load frequency control application adding to conventional control configuration. The effects of the self tuning configuration with Fuzzy Proportional Integral Controller (FPIC) in AGC on SMES control for the improvement of Load Frequency Control (LFC) is compared with that of PI controlled AGC. The effectiveness of the SMES control technique is investigated when Area Control Error (ACE) is used as the control input to SMES. The computer simulation of the two-area interconnected power system shows that the self tuning FPIC control scheme of AGC is very effective in damping out of the oscillations caused by load disturbances in one or both of the areas and it is also seen that the FPIC controlled SMES performs primary frequency control more effectively compared to PI controlled SMES in AGC control

Importance of ergonomics study in manual materials handling rises from the prospective risks human workplace accidents and injuries. Specifically lifting the materials from one place to other, diverse activities such as pushing, pulling, lowering, and holding, turning and carrying of weights. A risk to many humans are considered to be the prime cause of hip pain, joint impairments, stress and strains, sprains, dislocation of the lumbar spine disc, hip bone fracture, joint inflammation, tear of muscle tissue, contusion, and nerves problem due to often leading activity limitation and workplace accidents. This types of activities leads to increased worker reimbursement and loss of productive man hours. About one third of all jobs in engineering, production and business involve human in Manual Material Handling work. A finite elements model analyze the stresses in human hip joints using Image processing techniques, soft computing like MAT Lab and ANSYS. The more effort is to be taken for data collection and also during finite element modeling. A biomechanical model proposes the development and optimizing the lifting posture for minimum effort. This model is used to predict the lifting capabilities of each and every individuals. Future study can be extended for loading of the muscles strength in human.

The present study attempts to make a descriptive research on the employee training in different industries selected for the study. It is intended to develop an understanding and to build up a theory to the extent possible, on the different aspects of employee training. The main aim of the research is to study the existing employee training practices of public and private sector industries selected by the researcher.