Determination of Crossarm Installation in Fill Dams by Back Analysis

This paper discusses a numerical model that can be used to optimize the installation in a zoned type and a homogeneous type fill dam. Before installation in a real dam to evaluate dam behavior, numerical model described in this paper is carried out on a prototype dam to check the optimum installation, using cross arm measurements. Three cross arm installations at the upstream, the core and downstream to measure displacements are considered. The installation options considered are three cross arm combinations for best installation to verify the safety of dams and to reduce cost. Finite element method is used for generating the displecement field in a linear elastic numerical model. The generated data is used as an input data in the back analysis to check the adequacy of each installation option

A survey of recent contributions of high performance NoC architectures

The Network-on-Chip (NoC) paradigm has been herald as the solution to the communication limitation that System-On-Chip (SoC) poses. However, power consumption is one of its major defects. To ensure that a high performance architecture is constructed, analyzing how power can be reduced in each area of the network is essential. Power dissipation can be reduced by adjustments to the routers, the architecture itself and the communication links. In this paper, a survey is conducted on recent contributions and techniques employed by researchers towards the reduction of power in the router architecture, network architecture and communication links

Factors Affecting Job Satisfaction of Employees in the Construction Supply Chain in the Ashanti Region of Ghana

Job satisfaction has received immense attention in organizational research. It is proven as one of the key factors that contribute to productivity. The focus of this study was to examine factors affecting job satisfaction of employees in the local building construction industry in Ghana. Quantitative survey based research approach was used in the study. One hundred and fifty eight (158) employees working in selected construction organisations in the Ashanti Region of Ghana were involved in the study. Primary data was collected through questionnaire instrument and analysed using descriptive statistical tool with the aid of Statistical Package for Social Sciences (SPSS) version 16.0. The findings indicated that non-wage based factors such as recognition, task itself, work environment, supervision and job security appeared to influence job satisfaction than wage paid to the employees in the construction sector. Managers in construction supply chain should make policies and incorporate factors that allow employees to achieve their high-order individual goals in job design to secure employee’s loyalty and improve productivity. Keywords: Construction Supply Chain, Job Satisfaction, Employees, Building Industry, Ghan

A survey of system level power management schemes in the dark-silicon era for many-core architectures

Power consumption in Complementary Metal Oxide Semiconductor (CMOS) technology has escalated to a point that only a fractional part of many-core chips can be powered-on at a time. Fortunately, this fraction can be increased at the expense of performance through the dark-silicon solution. However, with many-core integration set to be heading towards its thousands, power consumption and temperature increases per time, meaning the number of active nodes must be reduced drastically. Therefore, optimized techniques are demanded for continuous advancement in technology. Existing efforts try to overcome this challenge by activating nodes from different parts of the chip at the expense of communication latency. Other efforts on the other hand employ run-time power management techniques to manage the power performance of the cores trading-off performance for power. We found out that, for a significant amount of power to saved and high temperature to be avoided, focus should be on reducing the power consumption of all the on-chip components. Especially, the memory hierarchy and the interconnect. Power consumption can be minimized by, reducing the size of high leakage power dissipating elements, turning-off idle resources and integrating power saving materials

Environmentally friendly agent against fall armyworm (Spodoptera frugiperda): Antifeedant potency of mentha spicata aqueous extracts

The rising trends of insect resistance, coupled with escalating environmental pollution from synthetic pesticides, heighten the need for a more effective and, non-hazardous agents to control insect/pests. Different aqueous extracts of Mentha spicata were screened for their phytochemical constituents and their antifeedant activities against Spodoptera frugiperda. Screening of the different aqueous extracts of Mentha spicata obtained by cold maceration revealed the presence of phenolics and tannins. The concentration of phenols and tannins in the water, glycerine, and glycerine plus water (glycerine-water) extracts were significantly different (p \u3c 0.05). Mentha spicata water extract had a greater antifeedant activity against Spodoptera frugiperda as compared to glycerine and glycerine-water (60 : 40, v/v) extracts at a concentration of 5g/100 mL. The estimated % antifeedant activity recorded were 97 as against 8.21 and 49.81, respectively. Aqueous neem seed water extracts gave an estimated % antifeedant activity of 93.07 and it served as a control. Saponins were absent in all extracts and only water extracts had alkaloids present. The simple, non-hazardous, and cost-saving extraction method demonstrated could be applied in both commercial and subsistent farming to counteract the damnable effects of Spodoptera frugiperda infestation

Economic Impact of COVID-19 on Seventh-day Adventist College of Education Students in Ghana: Did the Lockdown Status of a District Matter?

This article examined the economic effects of the coronavirus disease on college of education students based on their location in the lockdown and non-lockdown districts.  A total of 198 students from the Seventh-day Adventist College of Education, Agona-Ashanti, Ghana, were selected using a simple random sampling. A questionnaire and semi-structured thematic guide were used for data collection.  Quantitative data analysis was performed using IBM SPSS (version 25) while direct quotes from in-depth interviews were used to support quantitative data. The results show that students and parents mainly engaged in trading and farming as their main sources of income. The chi-square test of independence showed no statistically significant differences in the self-supporting livelihood activities pursued by students from lockdown and non-lockdown districts (P˃.05). It also showed no statistically significant differences in the effect of the pandemic on both parents' and students' livelihood activities based on their location (P˃.05). The economic consequences of the pandemic on students’ academic activities in both lockdown and non-lockdown districts were, thus, similar. It is recommended that the Ghanaian government's measures to mitigate the economic effects of the pandemic should not be limited to the lockdown districts but should be extended to all districts across the country

An Ageing-Aware and Temperature Mapping Algorithm For Multi-Level Cache Nodes

Increase in chip inactivity in the future threatens the performance of many-core systems and therefore, efficient techniques are required for continuous scaling of transistors. As of a result of this challenge, future proposed many-core system designs must consider the possibility of a 50% functioning chip per time as well maintaining performance. Fortunately, this 50% inactivity can be increased by managing the temperature of active nodes and the placement of the dark nodes to leverage a balance working chip whilst considering the lifetime of nodes. However, allocating dark nodes inefficiently can increase the temperature of the chip and increase the waiting time of applications. Consequently, due to stochastic application characteristics, a dynamic rescheduling technique is more desirable compared to fixed design mapping. In this paper, we propose an Ageing Before Temperature Electromigration-Aware, Negative Bias Temperature Instability (NBTI) & Time-dependent Dielectric Breakdown (TDDB) Neighbour Allocation (ABENA 2.0), a dynamic rescheduling management system which considers the ageing and temperature before mapping applications. ABENA also considers the location of active and dark nodes and migrate task based on the characteristics of the nodes. Our proposed algorithm employ Dynamic Voltage Frequency Scaling (DVFS) to reduce the Voltage and Frequency (VF) of the nodes. Results show that, our proposed methods improve the ageing of nodes compared to a conventional round-robin management system by 10% in temperature, and 10% agein

AMA: An Ageing Task Migration Aware for High Performance Computing

The Dark-Silicon challenge poses a design problem for future many-core systems. As a result of this, several techniques have been introduced to improve the number of processing elements that can be powered on. One of the techniques employed by many is Task Migration. In this paper, An Ageing Task Migration Aware for High-Performance Computing (AMA) is proposed to improve the lifetime of nodes. The proposed method determines which clusters applications are mapped to and, migrates high-demand tasks amongst nodes to improve the lifetime at every epoch. Experimental results show that the proposed method outperforms state-of-the-art techniques by more than 10%