Bridgeview(TM) for Hybrid Control System: an Applied Case Study of Automating an Industrial Assembly Line

Advancement in computer, sensors and controllers technology requires control engineers to deal with larger and more complicated controI system. It i no longer suficient to choose between a discrete or analog system because both types are often needed in today's sophisticated systems. A discrete and analog control systems are both extending rapidly to accommodate crucial properties of each other, the line of demarcation between them is becoming fuzzy. A new type of control system - Hybrid Control System (H S) - is emerging that combines the benefits of both. HCS's synergistic effect creates a control system that encompasses the features and functionality of each type and beyond. This work describes a case study of such a system. It involves design and implementation of supervisory software for a propriety Hybrid control system project involving a robotic assembly line for a cellular relay-station motherboard manufacturer. The scope of the project included system analysis of the robotic assembly line, selection of networking and communication protocols, database selection, and the design of an intuitive GUI or Man Machine Interface (MMI). Commercially available supervisory Control and Data Acquisition (SCADA) packages were reviewed to select a suitable environment. The software implementation on one station of the line is shown aa an example

Model of behavioral attention towards using ICT in universities in Libya

Information and communication technology (ICT) is one of the advances utilized as a part of educational tools, and it has been played an effective integration between technology and the lecturer for good quality of teaching and learning. However, a number of researches have been conducted to examine the factors adoption and acceptance of technology, but there is limited on lecturers’ behavioral intention to use ICT in university. Therefore, previous literature has been addressed a series of issues and problem which affect the successful implementation of ICT in the education of Libya such as a lack of policy, poor recourse and lack of skill as well as good infrastructure. The aim of this paper is to examine the factors influencing the lecturers’ intention to use ICT among of the factors suggested by previous literature that may influence lecturers’ intention to use the attitude, behavioral control, Self-Efficacy and ease of use are presented in the following section. Technology acceptance model and theory of planned behavior were adopted to explain the behavioral intention of lecturers to use technology or ICT in universities. The model and theory of Technology acceptance model (TAM) and theory of planned behavior (TPB) were used to explain the behavioral intention of the lecturer to use ICT in Libya universities. The behavioral intention to use technology has an impact on how lectures are delivered to the student, and subsequently expose them to the latest and updated information about education

Enhancing genetic gain through the application of genomic selection in developing irrigated rice for the favorable ecosystem in Bangladesh

Increasing selection differential and decreasing cycle time, the rate of genetic improvement can be accelerated. Creating and capturing higher genetic with higher accuracy within the shortest possible time is the prerequisite for enhancing genetic gain for any trait. Comprehensive yield testing at multi-locations at early generations together with the shortest line fixation time can expedite the rapid recycling of parents in the breeding program through recurrent selection. Genomic selection is efficient in capturing high breeding value individuals taking additive genetic effects of all genes into account with and without extensive field testing, thus reducing breeding cycle time enhances genetic gain. In the Bangladesh Rice Research Institute, GS technology together with the trait-specific marker-assisted selection at the early generation of RGA-derived breeding lines showed a prediction accuracy of 0.454–0.701 with 0.989–2.623 relative efficiency over the four consecutive years of exercise. This study reports that the application of GS together with trait-specific MAS has expedited the yield improvement by 117 kg ha−1·year−1, which is around seven-fold larger than the baseline annual genetic gain and shortened the breeding cycle by around 1.5 years from the existing 4.5 years

Anemia prevalence in women of reproductive age in low- and middle-income countries between 2000 and 2018

Anemia is a globally widespread condition in women and is associated with reduced economic productivity and increased mortality worldwide. Here we map annual 2000–2018 geospatial estimates of anemia prevalence in women of reproductive age (15–49 years) across 82 low- and middle-income countries (LMICs), stratify anemia by severity and aggregate results to policy-relevant administrative and national levels. Additionally, we provide subnational disparity analyses to provide a comprehensive overview of anemia prevalence inequalities within these countries and predict progress toward the World Health Organization’s Global Nutrition Target (WHO GNT) to reduce anemia by half by 2030. Our results demonstrate widespread moderate improvements in overall anemia prevalence but identify only three LMICs with a high probability of achieving the WHO GNT by 2030 at a national scale, and no LMIC is expected to achieve the target in all their subnational administrative units. Our maps show where large within-country disparities occur, as well as areas likely to fall short of the WHO GNT, offering precision public health tools so that adequate resource allocation and subsequent interventions can be targeted to the most vulnerable populations.Peer reviewe

Galaxy Clusters Associated with Short GRBs. II. Predictions for the Rate of Short GRBs in Field and Cluster Early-Type Galaxies

We determine the relative rates of short GRBs in cluster and field early-type galaxies as a function of the age probability distribution of their progenitors, P(\tau) \propto \tau^n. This analysis takes advantage of the difference in the growth of stellar mass in clusters and in the field, which arises from the combined effects of the galaxy stellar mass function, the early-type fraction, and the dependence of star formation history on mass and environment. This approach complements the use of the early- to late-type host galaxy ratio, with the added benefit that the star formation histories of early-type galaxies are simpler than those of late-type galaxies, and any systematic differences between progenitors in early- and late-type galaxies are removed. We find that the ratio varies from R(cluster)/R(field) ~ 0.5 for n = -2 to ~ 3 for n = 2. Current observations indicate a ratio of about 2, corresponding to n ~ 0 - 1. This is similar to the value inferred from the ratio of short GRBs in early- and late-type hosts, but it differs from the value of n ~ -1 for NS binaries in the Milky Way. We stress that this general approach can be easily modified with improved knowledge of the effects of environment and mass on the build-up of stellar mass, as well as the effect of globular clusters on the short GRB rate. It can also be used to assess the age distribution of Type Ia supernova progenitors.Comment: ApJ accepted versio

Erratum: Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017

Interpretation: By quantifying levels and trends in exposures to risk factors and the resulting disease burden, this assessment offers insight into where past policy and programme efforts might have been successful and highlights current priorities for public health action. Decreases in behavioural, environmental, and occupational risks have largely offset the effects of population growth and ageing, in relation to trends in absolute burden. Conversely, the combination of increasing metabolic risks and population ageing will probably continue to drive the increasing trends in non-communicable diseases at the global level, which presents both a public health challenge and opportunity. We see considerable spatiotemporal heterogeneity in levels of risk exposure and risk-attributable burden. Although levels of development underlie some of this heterogeneity, O/E ratios show risks for which countries are overperforming or underperforming relative to their level of development. As such, these ratios provide a benchmarking tool to help to focus local decision making. Our findings reinforce the importance of both risk exposure monitoring and epidemiological research to assess causal connections between risks and health outcomes, and they highlight the usefulness of the GBD study in synthesising data to draw comprehensive and robust conclusions that help to inform good policy and strategic health planning