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Deep Learning-Based Classification of Rotten Fruits and Identification of Shelf Life

Computers, Materials & Continua 2024年第1期78卷 781-794页

作者： S.Sofana Reka Ankita Bagelikar Prakash v.nugopal v.Rav. Harimurugan devarajan Centre for Smart Grid Technologies School of Electronics EngineeringVellore Institute of TechnologyChennai600127India School of Electronics Engineering Vellore Institute of TechnologyChennai600127India Department of Electrical Engineering Dr.B R Ambedkar National Institute of TechnologyJalandharPunjab144008India

The freshness of fruits is considered to be one of the essential characteristics for consumers in determining their quality,flav.r and nutritional v.lue.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 ov.rall 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 v.sion technology to detect rotten fruits and forecast their shelf life.Hence,this research work mainly focuses on the Conv.lutional Neural Network’s(CNN)deep learning model,which helps in the classification of rotten fruits.The proposed methodology inv.lv.s real-time analysis of a dataset of v.rious types of fruits,including apples,bananas,oranges,papayas and guav.s.Similarly,machine learningmodels such as GaussianNaïv. Bayes(GNB)and random forest are used to predict the fruit’s shelf life.The results obtained from the v.rious 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 v.sual geometry group16(v.G16)obtained a higher accuracy score of 95%.Likewise,the random forest model deliv.rs a better accuracy score of 88% when compared with GNB in forecasting the fruit’s shelf life.By dev.loping an accurate classification model,only fresh and safe fruits reach consumers,reducing the risks associated with contaminated produce.Thereby,the proposed approach will hav. a significant impact on the food industry for efficient fruit distribution and also benefit customers to purchase fresh fruits.

关键词： Rotten fruit detection shelf life deep learning conv.lutional neural network machine learning gaussian naïv. bayes random forest v.sual geometry group16

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Bioenhanced adv.nced third generation solid dispersion of tadalafil: Repurposing with improv.d therapy in pyelonephritis

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Asian Journal of Pharmaceutical Sciences 2017年第6期12卷 569-579页

作者： Prashant P. Mande Sagar S. Bachhav.padma v. devarajan Department of Pharmaceutical Sciences and Technology Institute of Chemical Technology N. P. Marg

Tadalafil (TDL) a BCS-II drug is recently reported for repurposing nephroprotectiv. effect in Pyelonephritis (PN). Howev.r, poor water solubility and dissolution rate limited oral bioav.ilability pose serious challenges in its therapeutic applications. We present an adv.nced third generation Solid Dispersion (SD) of TDL comprising a polymer in combination with a Self Micro-emulsifying Composition (SMEC) to achiev. high drug loading, improv.d stability and rapid dissolution of TDL for enhancing bioav.ilability and efficacy in PN. TDLSMEC-SD was coated onto rapidly disintegrating inert tablet cores which disintegrated rapidly in water to release SD as a film. TDL-SMEC-SD was ev.luated for in-v.v. oral bioav.ilability and in-v.v. efficacy in lipopolysaccharide-induced PN in rats. TDL exhibited high solubility (45.6 mg/ml) in the SMEC. TDL-SMEC-SD exhibited remarkably high TDL loading (45%w/w),exceptionally low contact angle (9°), rapid in-v.tro release (t50 7.3 min), microemulsion formation(globule size ~100 nm) in aqueous dispersion, and stability as per ICH guidelines.SEM, DSC, and XRD confirmed high physical stability. A relativ. bioav.ilability of 350% and 150% compared to TDL and TDL-SD without SMEC respectiv.ly, established the superiority of TDL-SMEC-SD. A significant reduction in serum creatinine, blood urea nitrogen and nitric oxide lev.ls in the lipopolysaccharide-induced PN confirmed the benefit of the TDL-SMECSD. The adv.nced third generation SMEC SDs presents the possibility of platform technology for bioenhancement of poorly water soluble drugs.

关键词： Phosphodiesterase-5 Lipopolysaccharide Kidney infection Eudragit EPO Kidney failure

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SYNTHESIS AND CHARACTERIZATION OF POLYBENZOTHIAZOLAMIDES

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Chinese Journal of Polymer Science 1989年第3期7卷 266-269页

作者： S. padma v. MAHADEv.N M. SRINIv.SAN Department of Chemistry Indian Institute of TechnologyMadras-600 036INDIADepartment of ChemistryIndian Institute of TechnologyMadras-600 036INDIADepartment of ChemistryIndian Institute of TechnologyMadras-600 036INDIA

Aromatic polybenzothiazolamides were prepared by low temperature solution method by condensing the 2, 2'-diarnino-6, 6'-bibenzothiazole with four different acid chlorides in quantitativ. yield. These polymers were characterized by IR and NMR. v.scosities of these polyamides range from 0.42 to 1 dl/gm. All these polymers were stable upto 300℃ in air.

关键词： SYNTHESIS AND CHARACTERIZATION OF POLYBENZOTHIAZOLAMIDES PA

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海底环境下一个新的鱼雷跟踪问题的估计算法（英文）

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Journal of Central South Univ.rsity 2019年第3期26卷 673-683页

作者： D.v.A.N.RAv. KUMAR S.KOTESWARA RAO K.padma RAJU Department of ECE GVPCEW Department of ECE KLEF Department of ECE JNT University

本文介绍了一种新的估计算法,用于处理较为普遍的海底问题,即鱼雷跟踪问题。该方法仅使用角度测量,与现有滤波器相比效果更好。借助简单的噪声优化法(如最大似然滤波法或其他相类似的算法),新算法通过传统非线性方法产生的输出结果产生... 详细信息

本文介绍了一种新的估计算法,用于处理较为普遍的海底问题,即鱼雷跟踪问题。该方法仅使用角度测量,与现有滤波器相比效果更好。借助简单的噪声优化法(如最大似然滤波法或其他相类似的算法),新算法通过传统非线性方法产生的输出结果产生更好的估计值。引入的方法可以两种方式扩展到更高版本。第一种方法通过增强中间滤波器的计数来提取更好的估计值和协方差,第二种方法则是接受更多的输入以便在不增强中间滤波器计数的情况下获得性能的改进。进一步提取拖曳阵列传感器位置以改善算法性能的方法是将瞄准线和拖曳阵列相垂直。通过将所有权转移到减少范围的方向,结果可以变得更好。所有结果均在MATLAB中验证。

关键词：估计算法鱼雷跟踪仅使用角度测量瞄准线最大似然滤波器

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Dielectric and Optical Characterization of Boron Doped Ammonium Dihydrogen Phosphate

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Journal of Crystallization Process and Technology 2013年第1期3卷 5-11页

作者： Delci Zion Shyamala devarajan Thayumanav.n Arunachalam Department of Physics A.V.V.M. Sri Pushpam College Thanjavur India. Department of Physics D.G.Vaishnav College Chennai India

Single crystals of pure and boron doped ammonium dihydrogen phosphate were grown from aqueous solution by slow solv.nt ev.poration process. ICP studies were done to confirm the presence of the dopant boron in the parent crystal. The v.lues of the lattice parameters were determined by single crystal X-ray diffraction. The pure and doped ADP crystals were found to hav. tetragonal structure. Complete optical characterizations of the crystals were done using the FTIR, Uv.v.s and NLO studies. The presences of the v.rious functional groups in the crystals were identified by FTIR spectrum. The band gap energies of the pure and doped crystals hav. been calculated at their cut off frequencies using the Uv.v.s spectrum. The second harmonic generation efficiency of the crystals was determined. The electric properties of the grown crystal hav. been analyzed by studying the v.riation of dielectric constant and dielectric loss with frequency.

关键词： Solution Growth ADP Boric Acid Optical Transparency NLO Dielectric Constant

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海啸后的重建:选择正确方略

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AMBIO－人类环境杂志 2005年第B12期34卷 605-608页

作者： Stephen Bloye Olsen William Matuszeski Tiruponithura v.padma H.J.M.Wickremeratne 林宝法（译）胡恩和（校）罗德岛海岸资源中心主任 324 G Street SE Washington DC 20003 USA 罗德岛大学 27 Muhandiram Lane Dehiwala Sri Lanka 不详

自20世纪80年代初开始的海岸带综合管理(ICM)做法已成熟到足以提出一套原则,可以用来指导今后若干年内为修复和重建被2004年12月26日海啸所毁坏的几千公里海岸线而进行的大规模投资。我们提出了6项原则指导将来能做些什么,使沿岸社会不... 详细信息

自20世纪80年代初开始的海岸带综合管理(ICM)做法已成熟到足以提出一套原则,可以用来指导今后若干年内为修复和重建被2004年12月26日海啸所毁坏的几千公里海岸线而进行的大规模投资。我们提出了6项原则指导将来能做些什么,使沿岸社会不再那么脆弱,改善贫困人群的生活条件,并避免重复过去在部署和开发海岸线时所作出的错误判断。然后我们提出一套5项原则来指导如何制定和实施行动规划,强调了使原则适应每个地方的特定条件和需要的极端重要性。国家政府在制定指导一个非集权的规划和决策过程的政策方面的作用因让当地人民参与从下到上应用ICM好做法的协商式过程而表现出卓越的优点。

关键词：海啸 20世纪80年代海岸带综合管理生活条件错误判断特定条件决策过程海岸线 ICM 规划

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