24 research outputs found
Facilitating Human-Robot Collaboration Using a Mixed-Reality Projection System
No full textabstract: Human-Robot collaboration can be a challenging exercise especially when both the human and the robot want to work simultaneously on a given task. It becomes difficult for the human to understand the intentions of the robot and vice-versa. To overcome this problem, a novel approach using the concept of Mixed-Reality has been proposed, which uses the surrounding space as the canvas to augment projected information on and around 3D objects. A vision based tracking algorithm precisely detects the pose and state of the 3D objects, and human-skeleton tracking is performed to create a system that is both human-aware as well as context-aware. Additionally, the system can warn humans about the intentions of the robot, thereby creating a safer environment to work in. An easy-to-use and universal visual language has been created which could form the basis for interaction in various human-robot collaborations in manufacturing industries.
An objective and subjective user study was conducted to test the hypothesis, that using this system to execute a human-robot collaborative task would result in higher performance as compared to using other traditional methods like printed instructions and through mobile devices. Multiple measuring tools were devised to analyze the data which finally led to the conclusion that the proposed mixed-reality projection system does improve the human-robot team's efficiency and effectiveness and hence, will be a better alternative in the future.Dissertation/ThesisMasters Thesis Computer Science 201
An investigative and evaluative study of factors affecting quality of agricultural and farm information services in Kerala
No full textAgriculture is not only a country’s backbone of food, livelihood and ecological security systems, but is also the very soul of its sovereignty. In Kerala population density is high and land is scarce. To achieve sustainable advancement in quality of human life, meeting the domestic food requirement is to be given foremost priority in development plans. As the area of cultivation cannot be increased and growth of population cannot be controlled growth in food production is to be achieved by qualitative improvement in farming. This requires improvements in material inputs, farming techniques, storage technology and research. Effective integration of these factors is tied closely to adequate information flow, which can be ensured only by an efficient information system for agricultural education, research, extension and development. So evaluation and improvement of existing information services is very crucial for sustainable agricultural growth. The study evaluates the existing information resources, facilities, services, possibilities for resource sharing, accessibility of external sources, and the factors that affect the quality and efficiency of information services in agricultural sector. Coverage is limited to the State of Kerala. Sample consist 105 institutions of different levels, and information users consisting of 426 scientists and 220 farmers. Different sets of questionnaires and interview schedule were used to elicit information. The study found that agricultural research conducted at various institutions in the region at huge public expense has generated knowledge for improving production. Along with these huge collections of acquired content is also stored in the sector. But when a farmer, an extension worker, a scientist or an administrator needs information it is not easily accessible. The study found that agricultural sector fails to effectively bank on information resources available due to the lack of an information system and network. Recommends an Agricultural and Farm Information System for Kerala. Suggests a model plan for a computer communication network for resource sharing between the agricultural institutions in the State, which will also ensure, smooth flow of results of research down to the grassroots level to achieve maximum productivity in agriculture
Is There an Age Pattern in the Treatment of AMI? Evidence from Ontario
No full textIn this article we analyse the rates at which those admitted to hospital with acute myocardial infarction (AMI) receive aggressive treatment, assess how those rates have changed over time, and ask whether there is evidence of age discrepancies. Estimates made on the basis of data from an administrative database that includes discharges from all acute care hospitals in Ontario for selected years, from 1995 to 2005, indicate that there are strong and persistent age patterns in the application of medical technology. Results showed that to be true even after controlling for the higher rates of co-morbidities among older patients and variations across hospitals in practice patterns.treatment of AMI, age pattern
Is There an Age Pattern in the Treatment of AMI? Evidence from Ontario
No full textIn this article we analyse the rates at which those admitted to hospital with acute myocardial infarction (AMI) receive aggressive treatment, assess how those rates have changed over time, and ask whether there is evidence of age discrepancies. Estimates made on the basis of data from an administrative database that includes discharges from all acute care hospitals in Ontario for selected years, from 1995 to 2005, indicate that there are strong and persistent age patterns in the application of medical technology. Results showed that to be true even after controlling for the higher rates of co-morbidities among older patients and variations across hospitals in practice patterns.treatment of AMI, age pattern
Hybrid WGWO : whale grey wolf optimization-based novel energy-efficient clustering for EH-WSNs
No full textThe energy harvesting methods enable WSNs nodes to last potentially forever with the help of energy harvesting subsystems for continuously providing energy, and storing it for future use. The energy harvesting techniques can use various potential sources of energy, such as solar, wind, mechanical, and variations in temperature. Energy-constrained sensor nodes are small in size. Therefore, some mechanisms are required to reduce energy consumption and consequently to improve the network lifetime. The clustering mechanism is used for energy efficiency in WSNs. In the clustering mechanism, the group of sensor nodes forms the clusters. The performance of the clustering process depends on various factors such as the optimal number of clusters formation and the process of cluster head selection. In this paper, we propose a hybrid whale and grey wolf optimization (WGWO)-based clustering mechanism for energy harvesting wireless sensor networks (EH-WSNs). In the proposed research, we use two meta-heuristic algorithms, namely, whale and grey wolf to increase the effectiveness of the clustering mechanism. The exploitation and exploration capabilities of the proposed hybrid WGWO approach are much higher than the traditional various existing metaheuristic algorithms during the evaluation of the algorithm. This hybrid approach gives the best results. The proposed hybrid whale grey wolf optimization-based clustering mechanism consists of cluster formation and dynamically cluster head (CH) selection. The performance of the proposed scheme is compared with existing state-of-art routing protocols. © 2020, The Author(s)
Conducting ecological risk assessments of inorganic metals and metalloids: current status
No full textEcological risk assessment (ERA) of inorganic metals and metalloids (metals) must be specific to these substances and cannot be generic because most metals arc naturally occurring, some are essential, speciation affects bioavailability, and bioavailability is determined by both external environmental conditions and organism physiological/biological characteristics. Key information required for ERA of metals includes: emissions, pathways, and movements in the environment (Do metals accumulate in biota above background concentrations?); the relationship between internal dose and/or external concentration (Are these metals bioreactive?); and the incidence and severity of any effects (Are bioreactive metals likely to result in adverse or, in the case of essential metals, beneficial effects?)-ground-truthed in contaminated areas by field observations. Specific requirements for metals ERA are delineated for each ERA component (Hazard Identification, Exposure Analysis, Effects Analysis, Risk Characterization), updating Chapman and Wang (2000). In addition, key specific information required for ERA is delineated by major information category (conceptual diagrams, bioavailability, predicted environmental concentration [PEC], predicted no effect concentration [PNEC], tolerance, application [uncertainty] factors, risk characterization) relative to three different tiered, iterative levels of ERA: Problem Formulation, Screening Level ERA (SLERA), and Detailed Level ERA (DLERA). 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Hybrid WGWO: whale grey wolf optimization-based novel energy-efficient clustering for EH-WSNs
No full text\ua9 2020, The Author(s).The energy harvesting methods enable WSNs nodes to last potentially forever with the help of energy harvesting subsystems for continuously providing energy, and storing it for future use. The energy harvesting techniques can use various potential sources of energy, such as solar, wind, mechanical, and variations in temperature. Energy-constrained sensor nodes are small in size. Therefore, some mechanisms are required to reduce energy consumption and consequently to improve the network lifetime. The clustering mechanism is used for energy efficiency in WSNs. In the clustering mechanism, the group of sensor nodes forms the clusters. The performance of the clustering process depends on various factors such as the optimal number of clusters formation and the process of cluster head selection. In this paper, we propose a hybrid whale and grey wolf optimization (WGWO)-based clustering mechanism for energy harvesting wireless sensor networks (EH-WSNs). In the proposed research, we use two meta-heuristic algorithms, namely, whale and grey wolf to increase the effectiveness of the clustering mechanism. The exploitation and exploration capabilities of the proposed hybrid WGWO approach are much higher than the traditional various existing metaheuristic algorithms during the evaluation of the algorithm. This hybrid approach gives the best results. The proposed hybrid whale grey wolf optimization-based clustering mechanism consists of cluster formation and dynamically cluster head (CH) selection. The performance of the proposed scheme is compared with existing state-of-art routing protocols
Comparative Antiproliferative activities of wood and seeds essential oils of Juniperus Oxycedrus L. against K562 human chronic myelogenous leukemia cells
No full textThe species Juniperus oxycedrus L. is a member of Cupressaceae family. The chemical composition and antiproliferative activity of wood and seeds essential oils of J. oxycedrus, grown wild in Lebanon, were evaluated in order to investigate whether these products could be used as sources of functional compounds. The most abundant components of the seeds essential oils were pinene, β-myrcene, limonene and δ-cadinene, while wood oil components included δ-cadinene, cis-thujopsene, τ-muurolol, widdrol, epi-cubenol, β-caryophyllene and calacorene. Both wood and seeds essential oils inhibited the proliferation of K562 cell line with ic50 values of 39.8±2.7 and 147.7±3.6 g-mL, respectively. The J. oxycedrus wood oil showed erythroid differentiation of 16.0±2.0percent at a concentration of 5 g-mL, while the seeds essential oil showed erythroid differentiation of 25.0±2.8percent at a concentration of 50 g-mL. © 2013 © 2013 Taylor and Francis.Adams R. P., 2007, IDENTIFICATION ESSEN; Barrero Alejandro F., 1993, Flavour and Fragrance Journal, V8, P185, DOI 10.1002-ffj.2730080404; Bianchi N, 2000, BIOCHEM PHARMACOL, V60, P31, DOI 10.1016-S0006-2952(00)00297-5; Bianchi N, 2001, BRIT J HAEMATOL, V113, P951, DOI 10.1046-j.1365-2141.2001.02843.x; Bouhlal K., 1988, PARFUMS COSMETIQUES, V83, P73; Catelani G, 2002, BIOORGAN MED CHEM, V10, P347, DOI 10.1016-S0968-0896(01)00285-1; Cavaleiro C, 2006, J APPL MICROBIOL, V100, P1333, DOI 10.1111-j.1365-2672.2006.02862.x; Chiarabelli C, 2003, HAEMATOLOGICA, V88, P826; Cortesi R, 1998, EUR J HAEMATOL, V61, P295; Sanchez De Medina F., 1994, Planta Medica, V60, P197, DOI 10.1055-s-2006-959457; Fibach E, 2003, BLOOD, V102, P1276, DOI 10.1182-blood-2002-10-3095; Franco J.A., 1964, FLORA EUROPAEA, V1; Gambari R, 2007, CURR MED CHEM, V14, P199, DOI 10.2174-092986707779313318; Guerrini A, 2009, J AGR FOOD CHEM, V57, P4103, DOI 10.1021-jf803489p; Hanene M, 2012, NAT PROD RES, V26, P810, DOI 10.1080-14786419.2011.558014; Iyama E.W., 2003, J EXP HAEMATOL, V31, P592; Lampronti D., 2003, PHYTOMEDICINE, V10, P300; Lampronti I, 2006, INT J ONCOL, V29, P989; Loizzo MR, 2007, FOOD CHEM, V105, P572, DOI 10.1016-j.foodchem.2007.04.015; Loizzo M.R., 2008, CHEM BIODIVERS, V5, P481; Moreno L, 1998, PHARMACOL TOXICOL, V82, P108; Perrine SP, 2011, J CLIN PHARMACOL, V51, P1186, DOI 10.1177-0091270010379810; Puissant A, 2008, FASEB J, V22, P1894, DOI 10.1096-fj.07-101394; Rathore Ritesh, 2003, Med Health R I, V86, P240; Saab A.M., 2012, PLANTA MED, V78, P1; Salido S, 2002, J ETHNOPHARMACOL, V81, P129, DOI 10.1016-S0378-8741(02)00045-4; Tohme G., 2000, 1001 FLOWERS LEBANON, P3090
