19 research outputs found
Blood group determination using fingerprint
No full textThe fingerprint pattern stands out as the most authentic and unique characteristic defining human identity. This unique pattern is immutable and persists unaltered until an individual's demise. In various circumstances, particularly in legal proceedings, fingerprint evidence is highly regarded. The distinctive minutiae pattern of each person is unparalleled, with the probability of resemblance being exceedingly low, nearly one in sixty-four thousand million. This distinctiveness holds true even for identical duplet. The individualistic ridge pattern persists unchanged from birth, serving as a constant aspect of personal identity. This paper presents a method involving the comparison of specific feature patterns derived from fingerprints for personal identification systems. Fingerprint data is employed in the investigation of blood group determination as well. In the process of fingerprint matching, ridge frequency is assessed, and spatial features are extracted using a Gabor filter for this specific purpose. Consequently, blood group determination can be performed using fingerprint analysis
A combined deep CNN-RNN network for rainfall-runoff modelling in Bardha Watershed, India
No full textIn recent years, there has been a growing interest in using artificial intelligence (AI) for rainfall-runoff modelling, as it has shown promising adaptability in this context. The current study involved the use of six distinct AI models to simulate monthly rainfall-runoff modelling in the Bardha watershed, India. These models included the artificial neural network (ANN), k-nearest neighbour regression model (KNN), extreme gradient boosting (XGBoost) regression model, random forest regression model (RF), convolutional neural network (CNN), and CNN-RNN (convolutional recurrent neural network). The years 2003–2007 are classified as the calibration or training period, while the years 2008–2009 are classified as the validation or testing period for the span of time 2003 to 2009. The available rainfall, maximum and minimum temperatures, and discharge data were collected and utilized in the models. To compare the performance of the models, five criteria were employed: R2, NSE, MAE, RMSE, and PBIAS. The CNN-RNN model simulates the rainfall-runoff model in the Bardha watershed best in both the training and testing periods (training: R2 is 0.99, NSE is 0.99, MAE is 1.76, RMSE is 3.11, and PBIAS is −1.45; testing: R2 is 0.97, NSE is 0.97, MAE is 2.05, RMSE is 3.60, and PBIAS is −3.94). These results demonstrate the superior performance of the CNN-RNN model in simulating monthly rainfall-runoff modelling when compared to the other models used in the study. The findings suggest that the CNN-RNN model could be a valuable tool for various applications related to sustainable water resource management, flood control, and environmental planning
Dynamics and energetics of the K(²S) + H₂ (X¹ Σ⁺) reaction: Significance of orientational and (ro)vibrational contribution
No full textDesign of MEMS based Capacitive Pressure Sensor to Monitor the Respiratory Conditions of Patients
No full textEuphranta thandikudi David, sp. nov.
No full textEuphranta thandikudi David, sp. nov. (Figs 27–33) Description. Male. Body length, 5.4 mm; wing length, 4. 2 mm. Head (Fig. 27): 1.3 mm wide, 1.0 mm high, as high as long; frons fulvous, broadly fuscous medially to ocellar triangle with 2 frontal setae and 1 orbital seta, all black and acuminate. Antenna shorter than face; scape and pedicel fulvous, first flagellomere dark fuscous with plumose arista; Lateral and medial vertical seta, post ocellar seta well developed, ocellar triangle black with ocellar seta vestigial, postocular setae thin and black. Face concave, fulvous with a dark brown spot towards oral margin. Gena and parafacial yellow, occiput black with medial fulvous marking. Thorax (Figs 28 & 30): 1.8 mm long and 1.2 mm wide, scutum dark brown to black except yellow prescutellar patch and base of transverse suture. Pleura dark brown to black except a narrow yellow stripe on anepisternum from notopleuron to anterior notopleural seta. Anepisternum, katepisternum and anepimeron black. Scutellum yellow with black, basal, triangular patch. Laterotergite black with fine erect hairs. Thorax with full complement of setae except presutural setae; 2 scapular, 1 pospronotal; 1 anterior notopleural, 1 postsutural supra-alar, 1 intra-alar, 1 dorsocentral, 1 prescutellar acrostichal, 1 anepisternal and 1 katepisternal seta. Scutellum with two pairs of setae. Legs (Fig. 30): Fore- and mid-coxa yellow, hind-coxa fuscous. All femora fulvous with dark fuscous markings; apical 1 / 3 rd of fore and midfemur, 3 / 4 th of midfemur. Foretibia light fuscous, mid and hindtibia dark fuscous. Forebasitarsus spatulate and twisted apically. Wing (Fig. 29): 4.2 mm long and 1.4 mm wide, with three transverse bands, first preapical band broad, fused with the subapical band medially. Discal band extending from cell sc to dm, subapical band over crossvein DM-Cu uninterrupted reaching anterior margin. Hyaline apical spot in cell r 4 + 5 extends to cell r 2 + 3, m. Pterostigma dark brown 4 × as long as broad. R-M crossvein just below the apex of pterostigma. R 1 setose, R 4 + 5 setose up to crossvein R-M. Abdomen (Fig. 31): Segments dark brown to black in ground colour with light fulvous areas towards apex. Epandrium and surstylus as in Fig. 32. Glans of phallus sclerotised with well developed acrophallus and preaputium, vesica short (Fig. 33). Material examined: Holotype 3, INDIA: Tamil Nadu, Thandikudi, 1311 m, 10 º 18 ’N 77 º 38 ’E, 10.xi. 2010, Light trap, Yeswanth, H. M (UASB). Etymology: The specific epithet is a noun in apposition and refers to the type locality. Remarks: This species can be differentiated from E. maculifemur (de Meijere) by wing pattern and abdominal differences (see Hancock and Drew, 1994) and from E. songhkla by having preapical dark spots on all femora.Published as part of David, K. J., Hancock, D. L., Freidberg, A. & Goodger, K. F. M., 2013, New species and records of Euphranta Loew and other Adramini (Diptera: Tephritidae: Trypetinae) from south and southeast Asia, pp. 439-458 in Zootaxa 3635 (4) on pages 446-447, DOI: 10.11646/zootaxa.3635.4.6, http://zenodo.org/record/21808
Graded Exercise Therapy and Six Minute Walk Test: The Modern Care of Peripheral Vascular Disease
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