Ink analysis based forensic investigation of handwritten legal documents

Document falsification is among the fastest growing problems all over the world. Disclosure of such document is not always possible due to the conspiracy of attorney bodies; especially legal documents such as bank cheques, contracts, cash memos, and so on. Handwritten document tampering detection due to addition of new word(s) in judicial documents is the prime objective of this research. Minute alteration in writing causes financial loss to a person or to an organization and decreases the global economy. Such intangible assets remain undiscovered owing to lack of proper forensic techniques. Though writing style imitation can be possible, however, the possibility of getting exactly the same pen of the authorized document is quite impossible for an imitator. Hence, the paper introduces a solution to detect forgery in handwritten legal documents by analyzing perceptually similar pen ink. Forgery activity happens either ends of a written document by appending new word(s)/letter(s) with similar type of pen. The work is formulated as a binary classification problem and established with the help of several statistical features and three different classifiers: Multilayer Perceptron(MLP), RBF-SVM, and Random Forest(RF). Besides, the problem has also been implemented through some DCNN approaches to check whether it is possible to reflect the forgery by direct approaches. The efficiency of the proposed method is quite promising for involvement in the examination of forensic documents.

     

Gland segmentation in colorectal cancer histopathological images using U-net inspired convolutional network

Neural Computing and Applications - The accurate gland segmentation from digitized H&E (hematoxylin and eosin) histology images with a wide range of histologic grades of cancer is quite...     

Study of catalytic activity of a polymer-supported Ce catalyst for the synthesis of biofuels and β-amino alcohol derivatives under ambient condition

A novel mesoporous cerium-incorporated anthranilic acid binded chloromethylated polystyrene (PS-AN-Ce) has been developed by functionalization of chloromethylated polystyrene with anthranilic acid in DMF medium, followed by grafting of cerium on its surface using CeCl₃·7H₂O. The synthesized PS-AN-Ce has been characterized by FESEM, EDAX, AAS, FTIR, UV–Vis, TGA, and N₂ adsorption–desorption isotherm. The synthesized material is stable up to 376 °C and the Brunauer–Emmett–Teller (BET) surface area is 40.12 m² g⁻¹. PS-AN-Ce showed excellent catalytic effectiveness with high conversion rate and high TOF in the synthesis of β-amino alcohol derivatives and esterification of fatty acids in a short reaction time. In addition, the synthesized catalyst is easy to remove from the reaction mixture by centrifugation as it is a heterogeneous catalyst in origin and can be reused up to six times without any major loss of its catalytic activity. Also leaching limit of the synthesized catalyst is studied in different reaction cycle which implies that leaching of cerium from its polymeric support is negligible to consider. The extremely dispersed and sturdily bound Ce sites in the Ce-incorporated mesoporous polymer could be responsible for the observed high catalytic activities. © 2019 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2019 , 136, 47650.     

PREDICTION OF TURBULENT PLANE JET IN CROSSFLOW

In this article numerical predictions of turbulent plane jets discharged normal to a weak or moderate cross stream are presented. The Reynolds-averaged Navier-Stokes equations with the standard k- k turbulence model have been used to formulate the flow problem. The governing equations that are elliptic in nature are solved using the finite volume method. The predictions are presented to illustrate the flow pattern involved and to assess the performance of the standard k- k model by comparison with available experimental data for three different jet to cross stream velocity ratios (six, nine, and ten) and the agreement is found to be satisfactory.     

Dielectric and electromagnetic interference shielding properties of zeolite 13X and carbon black nanoparticles based PVDF nanocomposites

In the present work, Zeolite 13X and carbon black nanoparticles (CBNPs) reinforced polyvinylidene fluoride (PVDF) nanocomposites were obtained by a simple solvent casting technique. The structural, morphological and thermal properties of PVDF/Zeolite 13X/CBNPs nanocomposites with various loadings of Zeolite 13X and CBNPs were investigated using Fourier-transform infrared spectroscopy, X-ray diffraction, Scanning electron microscopy and thermo-gravimetric analysis. The dielectric studies were carried out in the 50 Hz–10 MHz frequency range at room temperature. The electromagnetic interference (EMI) shielding effectiveness (SE) of PVDF/Zeolite 13X/CBNPs nanocomposite was investigated in the 8–18 GHz frequency region (X-band and Ku-band). The maximum EMI SE of approximately −11.1 dB (8–12 GHz) and −11.5 dB (12–18 GHz) was observed for PVDF/CBNPs nanocomposites with 10 wt% loading of CBNPs. These findings emphasize the application of PVDF/Zeolite 13X/CBNPs nanocomposites as a potential EMI shielding material.     

浅层排水系统降雨过程氮磷垂直迁移数值仿真

浅层排水系统是一种快速排出农田积水的有效设施,但其同时也改变了水分及面源污染物如氮磷在农田系统迁移的速度和途径.为了对浅层排水农田系统中的氮磷垂直迁移过程有全面了解,利用有限元分析技术对已监测的浅层排水系统单元土壤柱进行数值仿真.结果表明,在5 h 4 mm/h降雨结束后,降雨量没有达到使地表到排水管道之间土壤层完全饱和,从而使随之溶解的氮磷污染物不足以渗透到排水管,导致没有氮磷的流失.降雨时间延长至10 h后,降雨量使土壤层达到饱和,从而使溶解的污染物产生流失,其中硝酸盐的流失量明显大于磷酸盐,硝酸盐流失量为9~10 mg/L,磷酸盐流失量为0.05~0.1 mg/L.在24 h降雨事件后,排水管中硝酸盐质量分数达最大值.在降雨时间不断增加的过程中,硝酸盐流失呈指数增长,而磷酸盐只是线性增长,形成该现象的原因与污染物的本身性质有关.     

A simplified model for biomass pyrolysis in a fluidized bed reactor

A reaction scheme of a set of three parallel reactions followed by a set of two parallel reactions has been used to describe the primary and secondary reactions of biomass pyrolysis in a fluidized bed reactor. A simple first-order kinetic approach has been applied to predict the product yields. The pyrolysis model detailed in this paper is actually a sub-model. The effects of operating parameters on biomass pyrolysis product yield were simulated. Results show that reaction temperature plays an important role in the yield of bio-oil. The model is robust and can predict good results in a gasification environment as well. Good agreement between predicted and published results was obtained.