Design of an Automatic Renewable Energy Supply and Switching System

The intermittent nature of renewable energy supply systems coupled with the variation in the terminal voltage supplied by these systems either due to variation of wind speed or solar irradiation makes it necessary to have an automated means of switching between these systems when the terminal voltage supplied by any one of them falls below a rated minimum value. The public utility can thus be regarded as a standby power supply systems which is only activated when both the solar and wind supply systems fail. This system coupled with the high solar radiation and the high wind speed of the Middle East and is capable of eliminating the need for public utility as inverters and battery systems can be used to provide backup power in the event of a failure of both renewable energy sources. This system provides an opportunity for the development of standalone power supply systems in rural areas without public utility. It also provides an opportunity for the minimal reliance on public utility by users in urban areas

IoT Enabled Real-Time Fishpond Management System

The infrastructure requirement for setting up catfish farms include, a source of clean water, an avenue for discharging the waste water and reliable water containment systems. The challenges faced by the operators of these fish ponds include the need for regular feeding of the fish, monitoring of the water quality and the changing of the water when the quality becomes unhealthy for the fish. This work presents an Internet of Things based approach for automating the management of the farms and enabling remote monitoring and management of the ponds. The system comprise of a pond controller which uses appropriate sensors to monitor the water quality of the pond. A CCTV records the activities around the pond and stores them in a cloud location. The Pond controller manages the automatic feeding system of the fish and the water control system for the pond. The system is also designed with capacity for remote operation through a specially designed mobile application which accesses the CCTV files and also controls the operation of the pond controller. This system will enable the management of one or more fish ponds from one mobile device, it will reduce the costs associated with managing the fish farms and improve quality of their yield

IoT Enabled Real-Time Fishpond Management System

The infrastructure requirement for setting up catfish farms include, a source of clean water, an avenue for discharging the waste water and reliable water containment systems. The challenges faced by the operators of these fish ponds include the need for regular feeding of the fish, monitoring of the water quality and the changing of the water when the quality becomes unhealthy for the fish. This work presents an Internet of Things based approach for automating the management of the farms and enabling remote monitoring and management of the ponds. The system comprise of a pond controller which uses appropriate sensors to monitor the water quality of the pond. A CCTV records the activities around the pond and stores them in a cloud location. The Pond controller manages the automatic feeding system of the fish and the water control system for the pond. The system is also designed with capacity for remote operation through a specially designed mobile application which accesses the CCTV files and also controls the operation of the pond controller. This system will enable the management of one or more fish ponds from one mobile device, it will reduce the costs associated with managing the fish farms and improve quality of their yield

Demonstrating Diversity in Star Formation Histories with the CSI Survey

We present coarse but robust star formation histories (SFHs) derived from spectro-photometric data of the Carnegie-Spitzer-IMACS Survey, for 22,494 galaxies at 0.3<z<0.9 with stellar masses of 10^9 Msun to 10^12 Msun. Our study moves beyond "average" SFHs and distribution functions of specific star formation rates (sSFRs) to individually measured SFHs for tens of thousands of galaxies. By comparing star formation rates (SFRs) with timescales of 10^10, 10^9, and 10^8 years, we find a wide diversity of SFHs: 'old galaxies' that formed most or all of their stars early; galaxies that formed stars with declining or constant SFRs over a Hubble time, and genuinely 'young galaxies' that formed most of their stars since z=1. This sequence is one of decreasing stellar mass, but, remarkably, each type is found over a mass range of a factor of 10. Conversely, galaxies at any given mass follow a wide range of SFHs, leading us to conclude that: (1) halo mass does not uniquely determine SFHs; (2) there is no 'typical' evolutionary track; and (3) "abundance matching" has limitations as a tool for inferring physics. Our observations imply that SFHs are set at an early epoch, and that--for most galaxies--the decline and cessation of star formation occurs over a Hubble-time, without distinct "quenching" events. SFH diversity is inconsistent with models where galaxy mass, at any given epoch, grows simply along relations between SFR and stellar mass, but is consistent with a 2-parameter lognormal form, lending credence to this model from a new and independent perspective.Comment: 17 pages, 10 figures; accepted by ApJ; version 2 - no substantive changes; clarifications and correction

The UV Upturn in Elliptical Galaxies as an Age Indicator

We show that the UV flux of old stellar systems can tell us about their ages. Two independent populations synthesis groups that have had wildly different views have here worked together and generated two solutions that can be easily tested using space telescopes. Proposed tests will constrain the ages of giant Es, that are often considered the oldest populations in the universe, and thus cosmology.Comment: LaTeX and 11 eps figures Accepted for publication in Ap

ARANEOMORPHAE: Development of an application for the identification of the taxonomic key of arachnid families in Brazil

This study aimed to evaluate an application to support decision making in the identification process of taxonomic arachnids of families in Brazil. The device was developed by Ionic framework used to develop hybrid applications and with the help of Java Script programming language and the angular JS framework. With convenience, speed, easy handling and low cost maintenance, the digital system called for their Araneomorphae authors is an App (Application) and this digital system, professionals and lay people will perform clearly and dynamic identification and classification of specimens arachnids, reducing the time to research and understanding of their taxonomy. To review the application, a taxonomic key was used containing the figure of six Brazilian arachnids for identifying a period of 30 minutes. Were invited 200 students from five undergraduate classes in Biological Sciences from the Lutheran University Center Palmas - CEULP / ULBRA, Tocantins state for the key printed taxonomic, the vast majority of students (81%) took more than 30 minutes to identify the six species, whereas with application USAge, 91.3% of identified species of arachnids in less than five minutes. The application proved practical, easy to understand and use, and can assist in supporting decision making to identify and rank the most common early specimens of arachnids