9,807 research outputs found
In-Network Distributed Solar Current Prediction
Long-term sensor network deployments demand careful power management. While
managing power requires understanding the amount of energy harvestable from the
local environment, current solar prediction methods rely only on recent local
history, which makes them susceptible to high variability. In this paper, we
present a model and algorithms for distributed solar current prediction, based
on multiple linear regression to predict future solar current based on local,
in-situ climatic and solar measurements. These algorithms leverage spatial
information from neighbors and adapt to the changing local conditions not
captured by global climatic information. We implement these algorithms on our
Fleck platform and run a 7-week-long experiment validating our work. In
analyzing our results from this experiment, we determined that computing our
model requires an increased energy expenditure of 4.5mJ over simpler models (on
the order of 10^{-7}% of the harvested energy) to gain a prediction improvement
of 39.7%.Comment: 28 pages, accepted at TOSN and awaiting publicatio
Automatic Pill Reminder for Easy Supervision
In this paper we present a working model of an automatic pill reminder and
dispenser setup that can alleviate irregularities in taking prescribed dosage
of medicines at the right time dictated by the medical practitioner and switch
from approaches predominantly dependent on human memory to automation with
negligible supervision, thus relieving persons from error-prone tasks of giving
wrong medicine at the wrong time in the wrong amount.Comment: 5 pages, 7 figures, ICISS- 2017 (IEEE Conference
In Vitro Tuberization and Quantitative Analysis of Colchicine Using Hptlc in Gloriosa Superba . L an Endangered Medicinal Plant of Pachamalai Hills, a Part of Eastern Ghats, Tamil Nadu.
Gloriosa superba. L has been a source of medicine right from ancient times. The tubers of this plant are sold in Indian herbal market as an important source of an alkaloid colchicine. Surface sterilized seeds of Gloriosa superba were soaked overnight in 1% GA3 on the next day seeds were planted on germinating media containing MS basal salts with 0.5 mg/l GA3 and 1.0 mg/l BA, 1% sucrose and 0.8% agar. 72.5% of seed germination was observed. The germinated seeds were transplanted on MS basal medium supplemented with 1.0 mg/l BAP, 0.05 mg/l GA3, 9.5 mg/l NAA and 6% sucrose which led to 90% tuber induction within 6 weeks of culture. Since there is a great demand of colchicine in the market, we have made an attempt to estimate the colchicine content in different parts of the plant like leaf, seed, pericarp, tuber and in vitro produced tuber using High Performance Thin Layer Chromatography, using a mixture of Ethyl acetate:Methanol (10:1.3 v/v) as mobile phase and precoated silica gel F254 TLC aluminium sheets as the stationary phase. The detection of spot was carried out at 350nm. The calibration curve was found to be linear between 100 to 600 ng/spot for colchicines. The results revealed that in vitro tuber had highest amount (0.14249%) of cochicine, followed by in vivo seed (0.10900%), tuber (0.05761%), leaves (0.46470%) and pericarp (0.04574%). The proposed method can be used to determine the colchicine content in Gloriosa superba
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Development and Design of Energy Efficient Oil-Flooded Screw Compressors
It is estimated that about 17% of the world's generated power is used for compression. Thus all, even minor improvement of the efficiency of compressors will substantially reduce CO2 emission. This paper presents development of family of energy efficient oil-flooded screw compressors for Kirloskar Pneumatic Company Ltd. The developmental techniques adopted to improve efficiency such as introduction of superior 'N' rotor profile, rotor clearance management, performance calculation using 3D CCM (Computational Continuum Mechanics), direct parametric interface to CAD (Computer Aided Design), which contains bearing selection for complete 3D solid modelling. Also, contemporary prototyping and experimental investigation is supported by the fully computerised data acquisition and processing. The cumulative improvement of all these elements of the design process resulted in a very efficient machine which guarantees the competitive position of Kirloskar Pneumatic Company Limited in the screw compressor market
Modelling and simulation Of electrochemical processes
Conventional reaction engineering technique may be applied to electrolytic process with emphasis on residence time distribution (RTD) metho
Професійне зростання менеджера
The concept Lean Production has nowadays become an accepted paradigm in several industries and it has become a fundamental part of manufacturing companies, as it seeks to reduce waste and deliver a high customer value. Lean Production is a technique that is a highly efficient manufacturing practice that helps organizations to carry on a competitive advantage. The concept works as a system of methods and measures which when combined have the potential to carry about a lean manufacturing. The objective of this research is to investigate how Strålfors Svenska Card can succeed in carrying out changes in their production in order to reduce waste, with reference to Lean Production. The study starts with a brief historical review about lean production, which is followed by a theoretical framework with useful concepts to adapt. The theoretical frameworks used in this research are: Lean House, “4P” Model, Lead the Change, Culture, Processes and Performance Measurements. The main research question of this thesis is: What are the main barriers for a successful lean implementation in Strålfors Svenska AB? Subsequently, the main research question was broken down to four sub questions. These are: How developed and mature in the organization are process methods? How are performance measurements employed? Which role does standardization, such as availability of tools, have? Which role do soft aspects, such as culture and values, play in understanding concepts? Strålfors Svenska Card has to build a good platform in order to success with their implementation of lean production. Moreover, it means that the organization has to focus on developing necessary critical factors that are in the guideline with lean production. The researchers has used observations, interviews, surveys and value stream mapping in order to collect necessary data.
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