{"title":"Piezoelectric Power Generation","authors":"Okafor Stanley Chisom","doi":"10.33422/icrset.2019.03.66","DOIUrl":"https://doi.org/10.33422/icrset.2019.03.66","url":null,"abstract":"This project seeks to generate electricity from human footsteps by harvesting and converting the energy expended during human locomotion into electrical energy. The system of energy conversion is achieved through piezoelectric transducers and appropriate harvesting circuit to trap the mechanical energy, convert it and store the electrical energy that results. The work delves into piezoelectric theory and the methods used in the energy harvesting and storage process. Also, the analysis and selection of appropriate components and materials used in achieving the proposed system design is discussed. The system is simulated using Multisim 13.0 software and the amount of power produced per step is 9.672 W. The simulation results prove that the amount of electrical energy that can be harvested and stored from numerous steps with the appropriate harvesting circuit can be used as a power source for many applications.","PeriodicalId":221787,"journal":{"name":"Proceedings of The International Conference on Research in Science, Engineering and Technology","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130097272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Haereon Son, Y. Takahashi, H. Muraoka, Yukiko Fujisawa, S. Hiraga, M. Ishimoto, C. Tsukamoto
{"title":"Profile Analysis: New Method to Elucidate Chemical Structures of Saponin in Soybean","authors":"Haereon Son, Y. Takahashi, H. Muraoka, Yukiko Fujisawa, S. Hiraga, M. Ishimoto, C. Tsukamoto","doi":"10.33422/icrset.2019.03.67","DOIUrl":"https://doi.org/10.33422/icrset.2019.03.67","url":null,"abstract":"Soybean [Glycine max(L.) Merr.] contains not only large amount of nutritional components but also a number of health functional components, of which soyasaponin is one. To evaluate the health promoting functions caused by soyasaponins, easy and reliable method is required to qualify and quantify them. Soyasaponin purification and instrumental analysis (MS, UV, IR and NMR analysis) are necessary to elucidate the chemical structures of soyasaponin. But, NMR analysis needs more than 40mg of purified sample and it takes a lot of time. In this presentation, we show new method “profile analysis” to elucidate the chemical structures of soyasaponins without NMR data. Profile analysis combines TLC, LC-PDA/MS/MS and genetic analysis. Firstly, presence of saponin components is recognized by TLC analysis. Secondly, elution time, UV spectrum, molecular mass and MS/MS fragmentation patterns of each soyasaponin components were obtained by LC-PDA/MS/MS. The next, finding out the gene combination, which control soyasaponin compositions. Combing all the data, we get the most reasonable answer to explain the chemical structure of soyasaponins. It has the advantage of requiring a small amount of sample and saving time.","PeriodicalId":221787,"journal":{"name":"Proceedings of The International Conference on Research in Science, Engineering and Technology","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123761490","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Data Visualization and Prediction Algorithms Applied to A Philippine Community Health Survey: Notes for Policy-Making","authors":"J. V. Murcia","doi":"10.33422/icrset.2019.03.65","DOIUrl":"https://doi.org/10.33422/icrset.2019.03.65","url":null,"abstract":"There is a growing body of knowledge that expresses health care decision as an economic decision, which can be estimated with existing demographic, household and social indicators. Health care decision was expressed in terms of three logical decisions: (1) visiting a government doctor, (2) visiting a private doctor, and (3) deciding to be confined/hospitalized. This paper intends to apply predictive analytics algorithms to visualize data patterns as well as establish the efficacy of count predictive algorithms (Poisson and negative binomial model under MASS and AER packages of R) in determining prediction model appropriateness for three hypothesized health care decision models. Data cleaning, integration and visualization algorithms were utilized to extract and visualize a geographically-representative data of Digos City, Philippines from the general dataset prior to the application of prediction algorithms, in order to have localized context of policy considerations. It is suggested the utilization of two known count model algorithms in comparing robustness of fit. Finally, the paper discusses policy implications based on the result and explores inputs for potential policy-making and suggestions for localized governance challenges and opportunities for policy improvement, while providing future researchers with opportunities for a broader research direction in the field.","PeriodicalId":221787,"journal":{"name":"Proceedings of The International Conference on Research in Science, Engineering and Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128461843","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Systematic study of the structural, electronic, optical and thermoelectric properties of AHfO3(A = Ca, Ba) perovskites at various pressure using ab-initio calculations","authors":"R. B. Behram, M. Rashid, S. Ramay","doi":"10.33422/icrset.2019.03.68","DOIUrl":"https://doi.org/10.33422/icrset.2019.03.68","url":null,"abstract":"The present study investigates the pressure dependence of the structural, elastic and electronic aspects for specifying the optical and thermoelectric device applications of alkaline rare-earth hafnate AHfO3(A = Ca, Ba) perovskites. The calculations have been performed by employing the all electron FP-LAPW+lo method. The PBEsol-GGA functional has been applied for treatment of the exchange-correlation energy. Using structural optimization, the lattice constants of the stable cubic phases are extracted, which are in good match with the existing theoretical and experimental literature. The cubic elastic constants (D11, D12 and D44), bulk moduli (B) are computed for evaluating the mechanical strength against external pressure up to 15 GPa. The electronic properties reveal that Hf-3dstates primarily construct conduction band minima, while O-2p states construct valance band maxima at 0 GPa, exhibiting an indirect bandgap (-M), which has been transformed to direct bandgap (-) at 15 GPa. Investigations of the optical properties illustrate that change in pressure can tune the optical parameters of these materials within ultra-violet (UV) energies suggesting commercial optoelectronic utilities. Our analysis shows that BaHfO3 exhibits better thermoelectric properties than CaHfO3 at room temperature whereas, thermoelectric performance both the compounds become comparable at higher temperature.","PeriodicalId":221787,"journal":{"name":"Proceedings of The International Conference on Research in Science, Engineering and Technology","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132045016","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Construction of a Dynamic Cerebral Blood Circulation Model","authors":"T. Utsuki","doi":"10.33422/icrset.2019.03.69","DOIUrl":"https://doi.org/10.33422/icrset.2019.03.69","url":null,"abstract":"An automatic control system of physiological brain condition, including cerebral blood flow, intracranial pressure, brain temperature, and cerebral metabolism, is effective for advanced brain resuscitation. However, a physiological brain condition model used in simulation tests is required for developing such system because basic performance experiments is not allowed ethically. Therefore, as a first step, a dynamic cerebral blood circulation model was constructed as an electrically analogous circuit model. The constructed model represents the anatomical structure and the physiological characteristics, such as the formation of cerebral arterial circles; the branching of anterior, middle, and posterior cerebral arteries into gray matters and white matters; blood viscosity; vascular elasticity; and the vascular conductance that is auto regulated by regional cerebral perfusion pressure and intracranial pressure. This model was analyzed using Runge-Kutta method under the condition of healthy adults. As a result, the analyzed cerebral blood flow and blood storage amount converged within the physiological normal range. Thus, the constructed model can reasonably represent the cerebral blood flow and the cerebral blood volume of normal adults as least. The next step is the construction of a whole physiological condition model, by integrating this model and the already constructed each model of fluid migration, heat transfer, and metabolism in cerebral tissue.","PeriodicalId":221787,"journal":{"name":"Proceedings of The International Conference on Research in Science, Engineering and Technology","volume":"2007 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123806588","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}