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| 1 | Catalyst-Packed Non-Thermal Plasma Reactor for Removal of Nitrogen Oxides显示文摘A single-stage plasma-catalytic reactor in which catalytic materials were packedwas used to remove nitrogen oxides. The packing material was scoria being made of various metaloxides including A12O3, MgO, TiO2, etc. Scoria was able to act not only as dielectric pelletsbut also as a catalyst in the presence of reducing agent such as ethylene and ammonia. Withoutplasma discharge, scoria did not work well as a catalyst in the temperature range of 100 °Cto 200 °C, showing less than 10% of NOx removal efficiency. When plasma is produced inside thereactor, the NOx removal efficiency could be increased to 60% in this temperature range. | V.Ravi YoungSunMok B.S.Rajanikanth Ho-ChulKang | 2003 | Plasma Science and Technology2003，5，1： | 4 |
| 2 | DeNOx Study in Diesel Engine Exhaust Using Barrier Discharge Corona Assisted by V_2O_5/TiO_2 Catalyst显示文摘A plasma-assisted catalytic reactor was used to remove nitrogen oxides (NOx) from diesel engine exhaust operated under different load conditions. Initial studies were focused on plasma reactor (a dielectric barrier discharge reactor) treatment of diesel exhaust at various temperatures. The nitric oxide (NO) removal efficiency was lowered when high temperature exhaustwas treated using plasma reactor. Also, NO removal efficiency decreased when 45% load exhaust was treated. Studies were then made with plasma reactor combined with a catalytic reactor consisting of a selective catalytic reduction (SCR) catalyst, V2O5/TiO2. Ammonia was used as a reducing agent for SCR process in a ratio of 1:1 to NOx. The studies were focused on temperatures of the SCR catalytic reactor below 200℃. The plasma-assisted catalytic reactor was operated well to remove NOx under no-load and load conditions. For an energy input of 96 J/1, the NOx removal efficiencies obtained under no-load and load conditions were 90% and 72% respectively at an exhaust temperature of 100℃. | B.S.Rajanikanth V.Ravi | 2004 | Plasma Science and Technology2004，6，4： | 3 |
| 3 | Studies on Nitrogen Oxides Removal Using Plasma Assisted Catalytic Reactor显示文摘An electric discharge plasma reactor combined with a catalytic reactor was studied for removing nitrogen oxides. To understand the combined process thoroughly, discharge plasma and catalytic process were separately studied first, and then the two processes were combined for the study. The plasma reactor was able to oxidize NO to NO2 well although the oxidation rate decreased with temperature. The plasma reactor alone did not reduce the NOx (NO+NO2)level effectively, but the increase in the ratio of NO2 to NO as a result of plasma discharge led to the enhancement of NOx removal efficiency even at lower temperatures over the catalyst surface (V2O5-WOa/TiO2). At a gas temperature of 100℃, the NOx removal efficiency obtained using the combined plasma catalytic process was 88% for an energy input of 36 eV/molecule or 30 J/1. | V.Ravi Young Sun Mok B.S.Rajanikanth Ho-Chul Kang | 2003 | Plasma Science and Technology2003，5，6： | 2 |
| 4 | Analyzing alternatives in reverse logistics for end-of-life computers:ANP and balanced scorecard approach显示文摘 | V.Ravi Ravi Shankar M.K.Tiwari | | 0，，： | 1 |
| 5 | Trading activity and expected stock returns显示文摘 | Tarun Chordia Avanidhar Subrahmanyam V.Ravi Anshuman | 2001 | Journal of Financial Economics2001，，1： | 1 |
| 6 | Oyster Shell Recycling and Bone Waste Treatment Using Plasma Pyrolysis显示文摘Investigations on the recycling of oyster shells and bone waste treatment using theplasma pyrolysis technique are presented in this paper.A arc based plasma torch operated at25 kW was employed for the experiments.Fresh oyster shells were recycled using the plasmatorch to convert them to a useful product such as CaO.Bone waste was treated to remove theinfectious organic part and to vitrify the inorganic part.The time required for treatment in bothcases was significantly short.Significant reduction in the weight of the samples was observed inboth cases. | JaeOuCHAE S.P.KNAK A.N.KNAK H.J.KOO V.RAVI | 2006 | Plasma Science and Technology2006，8，6： | 1 |
| 7 | Plasma Discharge Initiation of Explosives in Rock Blasting Application:A Case Study显示文摘为爆炸容量的燃烧费用的一个血浆分泌物开始系统为实际申请被设计,调查并且发展。实验室规模实验在进行大规模领域测试前被执行。结果的爆炸为爆炸的岩石产生了更少的噪音,不足道的地震颤动和好特定的爆炸消费。重要地,这种技术被发现是保险箱和环境联盟者友好。 | Jae-OuCHAE Young-JunJEONG V.M.SHMELEV A.A.DENICAEV V.M.POUTCHKOV V.RAVI | 2006 | Plasma Science and Technology2006，8，4： | 0 |
| 8 | Deep Learning-Based Classification of Rotten Fruits and Identification of Shelf Life显示文摘The freshness of fruits is considered to be one of the essential characteristics for consumers in determining their quality,flavor and nutritional value.The primary need for identifying rotten fruits is to ensure that only fresh and high-quality fruits are sold to consumers.The impact of rotten fruits can foster harmful bacteria,molds and other microorganisms that can cause food poisoning and other illnesses to the consumers.The overall purpose of the study is to classify rotten fruits,which can affect the taste,texture,and appearance of other fresh fruits,thereby reducing their shelf life.The agriculture and food industries are increasingly adopting computer vision technology to detect rotten fruits and forecast their shelf life.Hence,this research work mainly focuses on the Convolutional Neural Network’s(CNN)deep learning model,which helps in the classification of rotten fruits.The proposed methodology involves real-time analysis of a dataset of various types of fruits,including apples,bananas,oranges,papayas and guavas.Similarly,machine learningmodels such as GaussianNaïve Bayes(GNB)and random forest are used to predict the fruit’s shelf life.The results obtained from the various pre-trained models for rotten fruit detection are analysed based on an accuracy score to determine the best model.In comparison to other pre-trained models,the visual geometry group16(VGG16)obtained a higher accuracy score of 95%.Likewise,the random forest model delivers a better accuracy score of 88% when compared with GNB in forecasting the fruit’s shelf life.By developing an accurate classification model,only fresh and safe fruits reach consumers,reducing the risks associated with contaminated produce.Thereby,the proposed approach will have a significant impact on the food industry for efficient fruit distribution and also benefit customers to purchase fresh fruits. | S.Sofana Reka Ankita Bagelikar Prakash Venugopal V.Ravi Harimurugan Devarajan | 2024 | Computers, Materials & Continua2024，78，1： | 0 |
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