Bringing Context Awareness to IoT-Based Wireless Sensor Networks

IEEE International Conference on Pervasive Computing and Communications (PerCom). 23 to 26, Mar, 2015, PhD Forum. Saint Louis, U.S.A..Wireless Sensor Networks (WSN) are already enabling and enhancing a large number of pervasive computing applications in homes, offices, production facilities, and vehicles, just to name a few. Despite the tremendous evolution achieved in terms of robustness, reliability, maintenance costs, interoperability and other areas, WSN are still difficult to program. This work addresses specifically the case of IoT-based WSN, and is motivated by the need to facilitate the development of context-aware WSN applications. This research proposes to develop a framework that allows the user to focus on specifying the behavior of the application, and offloading the concerns with reconfiguration, adaptation, resource management, code deployment and interoperability to the framework itself

A Behaviour Study on Cloud Eco-System: Data Security Perspective

Cloud eco-system is a revolution now, which modifies the way in which the IT-based services are being delivered to end customers. It is increasing or we can also say grown-up technology that delivers multiple benefits whether in terms of economics or in terms of cost-effective resource utilization. The ability to install and improve their services on that platform is made possible by the advent of cloud computing, which opens up new options for long-term solutions. Cloud computing's environmental and economic impacts must be considered while assessing its long-term viability. A growing number of organizations, businesses, and personal users are depending on services supplied by the cloud and keeping crucial information in the cloud because of its easy-to-use characteristics. The cloud, despite its widespread use, nevertheless has a number of drawbacks when it comes to data security. Customers are concerned about how their personal information is transported to and from the cloud. Research articles in this topic have been thoroughly analyzed and examined in this report

Lipid-based nutrient supplement to address child undernutrition and enteric parasitic infections in India

Undernutrition is an outcome of insufficient food intake and repeated infectious diseases. Lipid-based nutrient supplements (LNS) are calorie and nutrient dense food products that are suitable to complement most food rations due to their long shelf life and convenience. Although available in other markets, staple-based LNS for India do not exist. More importantly, no currently available LNS formulations address the other immediate causes of undernutrition such as parasitic infections and gut inflammation in children. The objective of this study was to develop advanced LNS 2.0 with improved shelf stability, consumer acceptability, and antiparasitic activity via added oregano essential oil (OEO) bioactives. LNS were formulated using Indian staple dairy ingredients, and optimized using Response Surface Methodology (RSM) via face centered composite design with four factors and three coded levels: antioxidant (ascorbyl palmitate; at 0.0, 0.01, 0.03%), emulsifier (soy lecithin; at 0.5, 1.0, 1.5%), omega-3 (flaxseed oil (FO); at 0, 5, 10%) and accelerated storage temperature and time (23 and 40±2°C; at 0, 3, 6 months). Consumer acceptability was assessed using a 9-point hedonic scale among Indian mothers and students. Next, a dual modality in vitro cell culture model was employed to investigate the effect of OEO and its main bioactive carvacrol on prevention of parasite C. parvum invasion and infection of HCT-8 cells. Finally, β-Cyclodextrin (β-CyD) encapsulation of OEO and carvacrol (1:1 molar) was utilized to mask the potent flavor of bioactives, and achieve controlled intestinal delivery of bioactives, measured using triangle sensory test and 2-phase in-vitro digestion model, respectively. Optimal levels to maximize storage time and flaxseed oil and minimize oxidation were found as 0.02% antioxidant 1.5% emulsifier, and 4.9% FO. LNS formulations were found acceptable with or without FO similar to other commercial supplements. OEO and carvacrol were found to reduce relative C. parvum infectivity in a dose-dependent manner to 55.6 ± 10.4% and 45.8 ± 4.1% at 60 and 30 μg/mL of OEO and CV, respectively. Lastly, β-CyD complexes of OEO and CV were found significantly stable (p<0.05) through the gastric and intestinal phase enabling their potential release in colon via fermentation by colonic microflora. Triangle tests revealed no significant difference in color, smell, and taste between LNS with and without β-CyD-OEO complexes. In conclusion, staple-based LNS functionalized with β-CyD-OEO complex were feasible and can potentiate their application in addressing undernutrition and parasitic infections in at-risk populations

Automatic Allocation of Tasks in T-Res for WSN

3rd Doctoral Congress in Engineering will be held at FEUP on the 27th to 28th of June, 2019This paper presents a demo of an extension developed to support an existing programming abstraction for IoT: mT-Res. mT-Res is an extension of the T-Res programming abstraction, which allows users to write applications using a web framework without low level knowledge of resources. The paper describes an automated mechanism for allocate resources to such applications and adapt to changes in those resources.info:eu-repo/semantics/publishedVersio

Bringing Context-awareness to wireless sensor networks

CPS Student Forum Portugal was held as part of the Cyber-Physical Systems Week (CPS Week 2018), 10-13 April, Porto-Portugal.• Programming abstraction has been a major focus of research in WSN • With IoT, heterogeneous devices with different capabilities brings in new issues. • Essential features for systems to support these changes and user to write applications are as follwoing: • Abstraction, Mobility and Modularityinfo:eu-repo/semantics/publishedVersio

Automated resource allocation for T-Res

Demo in Demo Session, 15th International Conference on Information Processing in Sensor Networks (IPSN '16). 11 to 14, Apr, 2016. Vienna.This paper presents a demo of an extension developed to support an existing programming abstraction for IoT: mTRes. mT-Res is an extension of the T-Res programming abstraction, which allows users to write applications using a web framework independent of resources. The paper describes an automated mechanism for allocate resources to such applications and adapt to changes in those resources.info:eu-repo/semantics/publishedVersio

A Modular Programming Approach for IoTBased Wireless Sensor Networks

Poster presented in 12th European Conference on Wireless Sensor Network (EWSN 2015). 9 to 11, Feb, 2015. Porto, Portugal.We aim to build a programming framework for IoT-based WSN, where we try to free the programmer from responsibilities of resource management, application distribution, and code deployment. As a foundation of this framework, we propose a modular programming model which lets programmer describe the application functionality with minimum knowledge of resources available in the WSN. We propose that using such programming model, the application code can facilitate the automatic deployment and management of IoT-based WSN applications

Characterization of Actinomycetes and Trichoderma spp. for cellulase production utilizing crude substrates by response surface methodology

Laboratory bench scaling was done and an average of 1.85 fold increase by Response Surface Methodology (RSM) optimization was obtained. It was found that the predicted value (4.96 IU/ml) obtained by RSM is in close accordance with observed activity 5.14 IU/ml. Endoglucanases are mainly induced by CMC while Wheat bran (natural substrate) exoglucanase is more active when induced by avicel and cellulose. Addition of substrate beyond a level caused inhibition of cellulase production. The molecular weight of protein as determined by SDS-PAGE is very similar to molecular weight of cellulase of Trichoderma viride (T. viride) cellulase and Trichoderma reesei (T. reesei) endoglucanase. T. reesei β-glucosidase has high enzymatic activity on CMC substrate when compared with T. viride β-glucosidase. Secondary structure analysed by using Circular Dichroism confirmed that composition of celluase system is very similar to other analysed species. The cellulase was found to be active in pH range of 4.8-5.5; while temperature range varied from 50°C to 70°C. Although the enzymatic activity produced by mutants were lesser than the parent, but in one case mutants of Trichoderma reesei’s BGL has shown higher activity on cellulose