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Glomus Tumor of Hoffa’s Fat Pad and Its Management by Arthroscopic Excision
Sharad Prabhakar,Mandeep Singh Dhillon,Rakesh Kumar Vasishtha,Kamal Bali 대한정형외과학회 2013 Clinics in Orthopedic Surgery Vol.5 No.4
We present a rare case of glomus tumor of Hoffa’s fat pad in a 42-year-old woman. Magnetic resonance imaging findings along with the characteristic clinical picture led us to suspect a glomus tumor as the possible etiology. An ischemia test was found to be positive and this further substantiated our diagnosis. An arthroscopic excision was performed and the histology confirmed the diagnosis of glomus tumor of Hoffa’s fat pad. The patient responded well to the excision with immediate complete resolution of pain and she remains asymptomatic at the last follow-up after 15 months. To our knowledge, this is the second reported case of glomus tumor of Hoffa’s fat pad and the first ever to be managed by simple arthroscopic excision. The tumor poses a great challenge to an orthopedic surgeon. However, knowledge of its characteristic clinical presentation and the recognition of such a rare entity can help achieve an early diagnosis and timely management.
Sharad Kumar Gupta,Dericks P. Shukla 대한공간정보학회 2020 Spatial Information Research Vol.28 No.1
Topographic shadows of irregular mountains obstruct the analysis of satellite images in hilly areas. Due to this effect, there is high variability in the reflectance response of similar vegetation types, i.e. sunny areas show more than actual reflectance, whereas shaded areas show less than expected reflectance. In this study, we have evaluated the performance of five topographic correction methods, namely Cosine, C-Huang Wei, semi empirical C, SCS ? C and Variable Empirical Coefficient Algorithm (VECA) depending on the solar incidence angle and exitance angle. The two well-known digital elevation models (DEM) i.e. Shuttle Radar Topography Mission (SRTM) and TanDEM-X have been used for the study. The effi- ciency of the correction methods is assessed on Landsat-8 satellite image using three criteria: visual interpretation, statistical assessment and classification accuracy assessment. As seen from the statistical analysis, VECA and C-correction method provides good correction of topography for both SRTM and TanDEM-X elevation models. We have used support vector machine (SVM) classifier for classification of topographically corrected images. Our results show that VECA and C-correction method increased classification accuracy from 65.60% (for uncorrected image) to 82.40% for SRTM and 64.00% to 80.00% for TanDEM-X respectively. The highest accuracy of classification is obtained using VECA/C method with SRTM DEM. However, the SCS ? C-correction method impressively reduced the visual topography effects.
Using a Thermal Imaging Camera to Locate Perforators on the Lower Limb
Sharad P. Paul 대한성형외과학회 2017 Archives of Plastic Surgery Vol.44 No.3
Reconstruction of the lower limb presents a complex problem after skin cancer surgery, as proximity of skin and bone present vascular and technical challenges. Studies on vascular anatomy have confirmed that the vascular plane on the lower limb lies deep to the deep fascia. Yet, many flaps are routinely raised superficial to this plane and therefore flap failure rates in the lower limb are high. Fascio-cutaneous flaps based on perforators offer a better cosmetic alternative to skin grafts. In this paper, we detail use of a thermal imaging camera to identify perforator ‘compartments’ that can help in designing such flaps.
Estimating Various Measures in Normal Population through a Single Class of Estimators
Sharad Saxena,Housila P. Singh 한국통계학회 2004 Journal of the Korean Statistical Society Vol.33 No.3
This article coined a general class of estimators for various measures in normal population when some `a priori' or guessed value of standard deviation is available in addition to sample information. The class of estimators is primarily dened for a function of standard deviation. An unbiased estimator and the minimum mean squared error estimator are worked out and the suggested class of estimators is compared with these classical estimators. Numerical computations in terms of percent relative eciency and absolute relative bias established the merits of the proposed class of estimators especially for small samples. Simulation study conrms the excellence of the proposed class of estimators. The beauty of this article lies in estimation of various measures like standard deviation, variance, Fisher information, precision of sample mean, process capability index Cp, fourth moment about mean, mean deviation about mean etc. as particular cases of the proposed class of estimators.
Sharad Patel,A. K. Rastogi 대한토목학회 2019 KSCE JOURNAL OF CIVIL ENGINEERING Vol.23 No.6
Most of the groundwater simulation models are based on certain element (finite element method) or grid (finite difference method) formulation which is used for obtaining the transient head variation in the aquifer system. Since groundwater management scenarios often demand to call these simulation models several hundred times to deliver the acceptable decision variables, it is essential that an efficient and accurate system simulation technique should be adopted. In this paper, a recently developed global collocation approach based meshfree (Mfree) model is used as a groundwater state estimation tool. The developed model is first tested on a twodimensional confined aquifer synthetic flow problem where the results are compared with the available analytical and numerical solutions. Different time steps and varied pumping schedules were also assessed for a performance check. Later the tested model is applied to a synthetic aquifer flow problem having a close analogy to real field variability. The results obtained through the projected Mfree model are the testimony of accuracy and successful application of the developed model.
Effective Analysis of Lung Infection using Fuzzy Rules
Sharad Kumar Tiwari,Navneet Walia,Harsukhpreet Singh,Anurag Sharma 보안공학연구지원센터 2015 International Journal of Bio-Science and Bio-Techn Vol.7 No.6
Soft Computing is a consortium of methodologies which works synergistically and provides an ability to make decision from reliable data or expert’s experience. Nowadays different types of soft computing techniques such as neural network, fuzzy logic, genetic algorithm and hybrid system are largely used in medical areas. In this paper, algorithm for analysis of lung infection is presented. The main focus is to develop system architecture to find probable disease stage patient may have. Severity level of disease is determined by using rule base method. The algorithm uses output of Rulebase and entered by user to determine level of infection.
A Simple Method to Design Robust Fractional-order Lead Compensator
Sharad P. Jadhav,Rajan H. Chile,Satish T. Hamde 제어·로봇·시스템학회 2017 International Journal of Control, Automation, and Vol.15 No.3
This paper proposes a generalized and simple analytical method to design robust fractional-order leadcompensator (FOLC). The aim of the proposed fractional-order compensator is to adjust the system’s Bode phasecurve to achieve the required phase margin at a specified frequency. The structure selected in this paper is moregeneralized and novel. It is easy to implement for a real world application. The method proposed is frequencydomain and parameters of fractional compensator are selected from the plant information and specifications. ThisFOLC satisfies the specifications on static error constant, Kss, gain crossover frequency, wc and phase margin, φm. The applicability of the proposed method is demonstrated with illustrative examples. From the simulation resultsobtained, it is observed that FOLC gives robust and stable performance as compared to existing FOLC and integerorderlead compensator (IOLC).
Pharmacognostic evaluation of the roots of Berberis lycium royle
Sharad Kumar Srivastava,Ajay Kumar Singh Rawat,Shanta Mehrotra 경희대학교 융합한의과학연구소 2010 Oriental Pharmacy and Experimental Medicine Vol.10 No.3
Berberis lycium (family Berberidaceae) has a close affinity with B. aristata, used in India Traditional Systems of Medicine as a drug ‘Daruharidra’ for skin disease, jaundice, affection of eyes, and rheumatism. Various species of Berberis are being sold in India herbal drug market. During the market surveillance of different herbal drug markets of India, it was observed that almost all the markets either comprise of Berberis lycium or Berberis asiatica. Keeping this in view, in the present study attempts have been made to identify marker characters of this potent species.