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Journal of Agricultural Science and Technology(A) 2017年第8期7卷 537-545页

作者： Penumatsa Kishore Varma kotam vijay krishna kumar Vanapalli Chandra Sekhar Dandu Adilakshmi Madugula Suresh Nambala Raja kumar Karnam Jayaehandra Ravuri Anitha Department of Plant Pathology Regional Agricultural Research Station Anakapalle 531001 Andhra Pradesh lndia Department of Genetics and Plant Breeding Regional Agricultural Research Station Anakapalle 531001 Andhra Pradesh lndia

Magnesium matrix composites for biomedical applications:A review

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Journal of Magnesium and Alloys 2019年第1期7卷 72-79页

作者： vijay kumar Bommala Mallarapu Gopi krishna ChTirumala Rao Department of Mechanical Engineering Acharya Nagarjuna UniversityGuntur-522510Andhra PradeshIndia

In recent years,a new wave of bioactive,biocompatibility and biodegradable metallic materials were developed for orthopedic *** Magnesium,Magnesium alloys,Magnesium alloy-based composites are extensive material to the biomedical applications,by virtue of its high biocompatibility and reasonable *** magnesium,Magnesium alloys can corrode too fast during the physiological conditions and loses their properties before bone *** new era for the development of magnesium-based composites can satisfy the orthopedic ***-based composites,as bio-materials,can produce adjustable mechanical properties like Ultimate tensile strength,ductility,elastic modulus,and corrosion resistance in the physiological *** the Mg based composites,the matrix materials are biomedical magnesium alloys base like Mg-Ca,Mg-Al,Mg-Zn,and Mg-REE alloy and The reinforcements are based on hydroxyapatite(HAP),calcium polyphosphate(CPP),andβ-tricalcium phosphate(β-TCP)*** comprehensive review is focused on different grades of biodegradable magnesium matrix composites including their mechanical properties and corrosion resistance.

关键词： Magnesium composites Biodegradable Biocompatible Mechanical properties Biological corrosion

Intelligent Deep Learning Enabled Human Activity Recognition for Improved Medical Services

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Computer Systems Science & Engineering 2023年第2期44卷 961-977页

作者： E.Dhiravidachelvi M.Suresh kumar L.D.vijay Anand D.Pritima Seifedine Kadry Byeong-Gwon Kang Yunyoung Nam Department of Electronics and Communication Engineering Mohamed Sathak A.J.College of EngineeringChennai603103India Department of Information Technology Sri Sairam Engineering CollegeChennai602109India Department of Robotics Engineering Karunya Institute of Technology and SciencesCoimbatore641114India Department of Mechatronics Engineering Sri Krishna College of Engineering and TechnologyCoimbatore641008India Deparmtent of Applied Data Science Noroff University CollegeKristiansandNorway Department of Information and Communication Engineering Soonchunhyang UniversityAsanKorea Department of Computer Science and Engineering Soonchunhyang UniversityAsanKorea

Human Activity Recognition(HAR)has been made simple in recent years,thanks to recent advancements made in Artiﬁcial Intelligence(AI)*** techniques are applied in several areas like security,surveillance,healthcare,human-robot interaction,and *** wearable sensor-based HAR system includes in-built sensors,human activities can be categorized based on sensor ***,it can also be employed in other applications such as gait diagnosis,observation of children/adult’s cognitive nature,stroke-patient hospital direction,Epilepsy and Parkinson’s disease examination,***-developed Artiﬁcial Intelligence(AI)techniques,especially Deep Learning(DL)models can be deployed to accomplish effective outcomes on HAR *** this motivation,the current research paper focuses on designing Intelligent Hyperparameter Tuned Deep Learning-based HAR(IHPTDL-HAR)technique in healthcare *** proposed IHPTDL-HAR technique aims at recogniz-ing the human actions in healthcare environment and helps the patients in mana-ging their healthcare *** addition,the presented model makes use of Hierarchical Clustering(HC)-based outlier detection technique to remove the ***-HAR technique incorporates DL-based Deep Belief Network(DBN)model to recognize the activities of ***,Harris Hawks Opti-mization(HHO)algorithm is used for hyperparameter tuning of DBN ***,a comprehensive experimental analysis was conducted upon benchmark dataset and the results were examined under different *** experimental results demonstrate that the proposed IHPTDL-HAR technique is a superior per-former compared to other recent techniques under different measures.

关键词： Artiﬁcial intelligence human activity recognition deep learning deep belief network hyperparameter tuning healthcare

Real Time Implementation of Series Expansion Based Digital Controller for Magnetic Levitation System

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Intelligent Control and Automation 2016年第4期7卷 110-128页

作者： Avadh Pati vijay kumar Verma Richa Negi Shyam krishna Nagar Department of Electrical Engineering Motilal Nehru National Institute of Technology Allahabad India School of Electronics Engineering Kalinga Institute of Industrial Technology Bhubaneswar India Department of Electrical Engineering Indian Institute of Technology BHU Varanasi India

This paper addresses a digital controller for a real time magnetic levitation system using series expansion of pulse transfer function, which achieves desired closed loop response. The proposed digital controller designed, based on series expansion of pulse transfer function by solving a linear equation using the method of least squares, which improves the transient performance and step tracking capability of the compensated system. The designed algorithm used for the control input is not iterative, so the calculation is very fast. The proposed control scheme has successfully applied on maglev system and also validated through the simulation and hardware experimental results.

关键词： Maglev System Least Squares Series Expansion Pulse Transfer Function Digital Controller

Effect of Time of Planting on Cane Yield and Quality Characters in Sweet Sorghum

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Journal of Sustainable Bioenergy Systems 2012年第1期2卷 1-9页

作者： Chamarthy Venkata Ratnavathi Sivanuri Ravi kumar Bathula Swaroop vijay kumar Dasari Gopala krishna Jagannath Vishnu Patil Directorate of Sorghum Research (Formerly National Research Centre for Sorghum) Hyderabad India

Sweet sorghum unlike grain sorghum has potential to accumulate sugars in stalks similar to sugarcane. Short duration and lower water requirements of sweet sorghum are other advantages over sugarcane. Sorghum is usually grown in kharif and rabi seasons. As an energy crop, industry demands supply of green cane as raw material through out the year. Hence this agronomic study was conducted to determine suitable time of planting of sweet sorghum under the agro climatic conditions prevailing in India, so that continuous supply of raw material is assured for factory operations through out the year, especially during the lean period of sugarcane crushing. Various physical and chemical characters of plant and stem juice were studied by taking up bimonthly plantings at four locations using 12 genotypes of sweet sorghum in the first year and quarterly plantings at four locations using 10 genotypes (8 genotypes common in both years) in the second year. Of the six plantings, planting during August and April were found to be not suitable for good sweet sorghum yields, therefore, in the second year, four plantings were taken up i.e., June, October, December and February at six locations. The various attributes selected for observations include cane yield, percent brix of stem juice, percent juice extractability, percent total soluble sugars and reducing sugars in the stem juice. Highest green cane yield and percent juice extractability was observed in June planting in all genotypes followed by February, and December in both bimonthly and quarterly plantings. Juice extraction percentage was also highest in June plantings followed by October, April and December plantings. June plantings recorded highest percent brix followed by December and February plantings in bimonthly plantings, while in quarterly planting, highest percent brix and total sugars in juice was observed in February planting followed by planting in June.

关键词： Genotypes Date of Planting Biomass Juice Extractability Brix Total Soluble Sugars Reducing Sugars

Synthetic Workload Generation for Cloud Computing Applications

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Journal of Software Engineering and Applications 2011年第7期4卷 396-410页

作者： Arshdeep Bahga vijay krishna Madisetti 不详

We present techniques for characterization, modeling and generation of workloads for cloud computing applications. Methods for capturing the workloads of cloud computing applications in two different models - benchmark application and workload models are described. We give the design and implementation of a synthetic workload generator that accepts the benchmark and workload model specifications generated by the characterization and modeling of workloads of cloud computing applications. We propose the Georgia Tech Cloud Workload Specification Language (GT-CWSL) that provides a structured way for specification of application workloads. The GT-CWSL combines the specifications of benchmark and workload models to create workload specifications that are used by a synthetic workload generator to generate synthetic workloads for performance evaluation of cloud computing applications.

关键词： Synthetic Workload Benchmarking Analytical Modeling Cloud Computing Workload Specification Language

一种抗偏头痛复方制剂体外溶出度的比较研究(英文)

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色谱 2010年第1期28卷 93-99页

作者： HIREMATH vijay Basayya KALIAPERUMAL krishna BHOJRAJ Suresh NANJAN Mulla Joghee TIFAC CORE HD JSS College of PharmacyRocklands JSS University Banim antap

A novel in vitro dissolution profile was developed for formulated drug in combinational form containing naproxen sodium ( NAP) and sumatriptan succinate ( SUMA). This study was performed to understand the dissolution of the drug in the physiological temperature and pH. Dissolution testing was performed using USP 29 type II testing apparatus rotating at 50 r /min,in 900 mL deaerated buffer (pH 1. 2,4. 5 and 6. 8) which was maintained at ( 37 ± 0. 5) ℃. Quantification was performed using a developed and validated high performance liquid chromatographic (HPLC) method. Aceclofenac (ACE) was used as internal standard. SUMA,ACE and NAP w ere eluted at 4. 8,5. 7 and 7. 9 min,respectively. As expected for enteric coated immediate release (IR) tablets,the dissolution of NAP and SUMA was rapid and essentially complete within 2 h using phosphate buffer ( pH 6. 8). The comparison of the dissolution profiles was realized by model independent approach using a difference factor ( f1) ,similarity factor (f2) and dissolution efficiency ( DE). Statistical results show ed the pro-files were similar to the reference and the test products. Hence,this method demonstrated to be adequate for in vitro studies of NAP and SUMA in the combinational dosage form,since there is no official monograph,col-laborating to the official codes.

关键词：甲氧萘丙酸萘普生钠琥珀酸盐分解方法

印度泰米尔纳德邦二化性与多化性家蚕品种的蚕茧缫折影响因素分析(英文)

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蚕业科学 2014年第2期40卷 358-362页

作者： KADHAR Mohammed Abdul MAHESH Madigal Gurulingappa RAMESHBABU vijay krishna GHOSH Malai kumar BASU Arindam 蚕丝技术研究中心蚕丝检验与测试室印度康契普拉姆区631502 蚕丝中央委员会蚕茧测试中心印度达尔马布里孔巴托市641018 蚕丝中央委员会蚕丝技术研究中心印度班加罗尔市560068

印度泰米尔纳德邦蚕区饲养二化性和多化性家蚕品种。依据该地区蚕茧市场蚕茧检测中心2006—2010年对蚕茧缫折及相关指标的测试数据进行统计分析,比较影响二化性品种和多化性品种蚕茧缫折的主要因素。统计分析显示,多化性家蚕品种蚕茧的... 详细信息

印度泰米尔纳德邦蚕区饲养二化性和多化性家蚕品种。依据该地区蚕茧市场蚕茧检测中心2006—2010年对蚕茧缫折及相关指标的测试数据进行统计分析,比较影响二化性品种和多化性品种蚕茧缫折的主要因素。统计分析显示,多化性家蚕品种蚕茧的缫折较高,主要是受次茧率的显著影响;尽管近年来二化性家蚕品种的次茧率也明显增加,但高次茧率对其缫折的影响并不显著,这是因为对缫折有明显影响的茧层率在过去的5年里得到显著提高。结果提示,泰米尔纳德邦饲养的二化性家蚕品种具有高茧层率和低缫折的优势。

关键词：家蚕二化性多化性缫折次茧率茧层率

Late-Season Grass Weed Management with In-Crop and Post-Harvest Herbicides in Twin-Row Glyphosate-Resistant Soybean

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American Journal of Plant Sciences 2015年第1期6卷 213-218页

作者： krishna N. Reddy Charles T. Bryson vijay K. Nandula Crop Production Systems Research Unit USDA-ARS Stoneville Mississippi USA

Emergence of grasses late in the season has become a problem in glyphosate-resistant (GR) soybean production in the southern US. A 3-yr field study was conducted from 2011 to 2013 at Stoneville, MS to determine efficacy of post-harvest and pyroxasulfone-based in-crop herbicides on late-season grasses and yield in twin-row glyphosate-resistant soybean. Experiments were conducted in a split-plot arrangement of treatments in a randomized complete block design with fall herbicides (with and without pendimethalin at 1.12 kg ai ha-1 and paraquatat 0.84 kg ai ha-1) as main plots and in-crop herbicides as subplots with four replications. The six in-crop herbicide programs were: glyphosate applied early postemergence (EPOST) at 0.84 kg·aeha-1 followed by (fb) glyphosate late postemergence (LPOST) at 0.84 kg·ha-1 with and without pyroxasulfone preemergence (PRE) applied at 0.18 kg ai ha-1, pyroxasulfone PRE fb glyphosate at 0.84 kg·ha-1 LPOST or glyphosate at 0.84 kg·ha-1 + S-metolachlor at 1.68 kg ai ha-1 EPOST, pyroxasulfone PRE fb S-meto- lachlor at 1.12 kg·ha-1 + fomesafen at 0.27 kg ai ha-1 EPOST fb clethodim at 0.14 kg ai ha-1, and a no-herbicide control. Browntop millet, Digitaria spp., and junglerice densities at 2 weeks after LPOST, grass weed dry biomass at harvest, and soybean yield were similar regardless of post- harvest herbicides in all three years. At 2 weeks after LPOST, browntop millet, Digitaria spp. and junglerice densities were greatly reduced in all five in-crop herbicide treatments compared with no herbicide plot in all three years. Grass weed dry biomass in no-herbicide plots was 3346, 6136, and 6916 kg·ha-1 in 2011, 2012, and 2013, respectively and the five herbicide treatments reduced grass weed dry biomass by at least 87%, 84%, and 99% in 2011, 2012, and 2013, respectively. Soybean yield was higher with all five in-crop herbicide treatments compared to no herbicide control in all three years. These results indicate that browntop millet, Digitaria sp

关键词： Browntop Millet Digitaria spp. Junglerice S-Metolachlor Pyroxasulfone Soybean Twin-Row

Hyperspectral Imaging for Differentiating Glyphosate-Resistant and Glyphosate-Susceptible Italian Ryegrass

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American Journal of Plant Sciences 2018年第7期9卷 1467-1477页

作者： Yanbo Huang Matthew A. Lee vijay K. Nandula krishna N. Reddy United States Department of Agriculture Agricultural Research Service Stoneville MS USA Electrical and Computer Engineering Mississippi State University Mississippi State MS USA

Glyphosate is widely used in row crop weed control programs of glyphosate-resistant (GR) crops. With the accumulation of glyphosate use, several weeds have evolved resistance to glyphosate. In order to control GR weeds for profitable crop production, it is critical to first identify them in crop fields. Conventional method for identifying GR weeds is destructive, tedious and labor-intensive. This study developed hyperspectral imaging for rapid sensing of Italian ryegrass (Lolium perenne ssp. multiflorum) plants to determine if each plant is GR or glyphosate-susceptible (GS). In image analysis, a set of sensitive spectral bands was determined using a forward selection algorithm by optimizing the area under the receiver operating characteristic between GR and GS plants. Then, the dimensionality of selected bands was reduced using linear discriminant analysis. At the end the maximum likelihood classification was conducted for plant sample differentiation of GR Italian ryegrass from GS ones. The results indicated that the overall classification accuracy is between 75% and 80%. Although the accuracy is lower than the classification of Palmer amaranth (Amaranthus palmeri S. Wats.) in our previous study, this study provides a rapid, non-destructive approach to differentiate between GR and GS Italian ryegrass for improved site-specific weed management.

关键词： Hyperspectral Imaging Glyphosate Resistance Italian Ryegrass