Removal of chemical and microbial contaminants from greywater using a novel constructed wetland: GROW

This is the author accepted manuscript. The final version is available from Elsevier via the DOI in this record.The availability of freshwater resources is becoming universally depleted, leading to the requirement for a focused management strategy for treating and reusing wastewater. In particular for urban and developing areas, small scale decentralized treatment systems are becoming popular. The GROW (Green Roof-top Water Recycling System) constructed wetland is one such option that provides a solution without a permanent land requirement and offering medium to high treatment efficiency. The performance of the GROW system was monitored from November 2013 to April 2015 in treating greywater from the Krishna Student Hostel in IIT Madras. The performance of the GROW wetland cells were examined over four monitoring periods in Phase 1 namely: 1) start-up stage, 2) seasonal variation 3) change of flow rate and 4) change in organic fraction (26.8, 25.9 and 25.5 g COD/cubic meter/day respectively). In Phase 2, the plants and the filling materials were changed and the performance of GROW wetland cells were evaluated. The system was fed with greywater at a flow rate of 62, 70, 82, 100 and 120 L/day respectively with hydraulic retention time of 0.7–1.3 days. The samples taken from the inlet and the outlets of the GROW system were taken weekly and analyzed for the following parameters; pH, COD, BOD, TSS, TN, NO 3 –N, TP, FC, SDS, PG and TMA. In the study, the overall removal efficiency was greater than 82% for all the parameters. The GROW wetlands reduced all the above mentioned parameters to within or closely to the USEPA standard limits for reuse. The reusable effluent water is named ‘Green Water’.The authors wish to acknowledge Department of Science of Technology (DST), India and the European Union for providing the financial support for the project SARASWATI

Android application collusion demystified

Application collusion is an emerging threat to Android based devices. In app collusion, two or more apps collude in some manner to perform a malicious action that they are unable to do independently. Detection of colluding apps is a challenging task. Existing commercial malware detection systems analyse each app separately, hence fail to detect any joint malicious action performed by multiple apps through collusion. In this paper, we discuss the current state of research on app collusion and open challenges to the detection of colluding apps. We compare existing approaches and present an integrated approach to effectively detect app collusion

A Preliminary Investigation of Smart Rural Water Distribution Systems in the Gambia

This is the final version. Available on open access from Scientific Research Publishing via the DOI in this recordAn estimated one-third of water points in rural sub-Saharan Africa are non-functioning at any one time because of lack of upkeep. Communities are left without access to clean drinking water and this has multiple knock-on developmental impacts. An innovative pre-payment and Internet-of-Things enabled “e-Tap” based water technology and management system cycles revenue back into operation and maintenance and collects accurate and real-time data on consumption and tap failures. This has been operational in the Gambia since April 2016. Preliminary research has begun on evaluating this innovation. Technical tests were conducted to examine the efficiency of the e-Tap under varying conditions. Water use trends were then analysed by using the cloud-collected data transmitted from operational e-Taps. Further, baseline surveys to investigate social parameters were undertaken on 20 user households. This exploratory research shows the e-Taps to work efficiently in the laboratory and the Gambia with negligible failures, and to reduce distances users must travel for clean water and time they spend collecting

Preliminary Evaluation of Smart and Sustainable Water Distribution Systems in The Gambia

This is the author accepted manuscript.An estimated one-third of handpumps in rural sub-Saharan Africa are non-functioning at any one time because of lack of upkeep. Citizens are left without access to clean drinking water and this has multiple knock-on developmental impacts. An innovative ‘e-Tap’ based water pre-payment technology and management system, in operation in The Gambia since April 2016, cycles revenue back into operation and maintenance and collects accurate and real-time data on consumption and tap failures. Preliminary research has begun on evaluating this innovation. Technical tests were conducted to examine the efficiency of the e-Tap under varying conditions. Water use trends were then analysed using the cloud-collected data transmitted from operational e-Taps. Further, a baseline survey to investigate social parameters was undertaken on 20 user households. This exploratory research shows the e-Taps to work efficiently in the lab and The Gambia with negligible failures, and to reduce distances users must travel for clean water and time they spend collecting

Re-living anatomy: medical student use of lecture capture

Lecture capture resources have become common place within UK Higher education to enhance and support learning in addition to the tradition lecture. These resources can be particularly useful for medical students in anatomy teaching where time dedicated to anatomy within the curriculum has been reduced compared to previous generations(1). This study aimed to investigate how lecture capture aided student learning Qualitative feedback was also collected in view to further improve the resources to cater for the student’s need

Расчет гашения обратного напряжения в импульсной схеме

Grid and e-science infrastructure interoperability is an increasing demand for Grid applications but interoperability based on common open standards adopted by Grid middle-wares are only starting to emerge on Grid infrastructures and are not broadly provided today. In earlier work we have shown how open standards can be improved by lessons learned from cross-Grid applications that require access to both, High Throughput Computing (HTC) resources as well as High Performance Computing (HPC) resources. This paper provides more insights in several concepts with a particular focus on effectively describing Grid job descriptions in order to satisfy the demands of e-scientists and their cross-Grid applications. Based on lessons learned over years gained with interoperability setups between production Grids such as EGEE, DEISA, and NorduGrid, we illustrate how common open Grid standards (i.e. JSDL and GLUE2) can take cross-Grid application experience into account

The effects of self-awareness on body movement indicators of the intention to deceive

A study was conducted to investigate the body movements of participants waiting to be interviewed in one of two conditions: preparing to answer questions truthfully or preparing to lie. The effects of increased self-awareness were also investigated, with half of the participants facing a mirror; the other half facing a blank wall. Analysis of covertly obtained video footage showed a significant interaction for the duration of hand/arm movements between deception level and self-awareness. Without a mirror, participants expecting to lie spent less time moving their hands than those expecting to tell the truth; the opposite was seen in the presence of a mirror. Participants expecting to lie also had higher levels of anxiety and thought that they were left waiting for less time than those expecting to tell the truth. These findings led to the identification of further research areas with the potential to support deception detection in security applications