KCG College of Technology

About: KCG College of Technology is a based out in . It is known for research contribution in the topics: Computer science & The Internet. The organization has 427 authors who have published 381 publications receiving 2193 citations.

Microencapsulation of saffron pollen extract by spray drying to preserve its nutritional properties

Abstract: The present study reports the microencapsulation of extracts of saffron pollens containing polyphenolic compounds. Saffron pollen exhibit varying properties such as antioxidant and sensory properties and is also a source of many nutrients and bioactive compounds. In order to protect the polyphenols, the saffron pollen extract was microencapsulated by the spray drying method with maltodextrin as a carrier. Prior to encapsulation, the unbound water, total polyphenols contents and antioxidant activity of the extract was determined. The effect of inlet temperatures on the content of bioactive compounds, powder production yield, solubility and wettability was considered to study the spray drying process. The SEM images reveal that the produced microcapsules are spherical in shape. The results showed that the total polyphenol content of saffron pollen extract was found to be 620 ±4.50, 470±2.65, 420±2.18 mg gallic acid per g, for 140, 160 and 180 ˚C, respectively and spraying drying could significantly maintain the polyphenolic content as well as the antioxidant capacity of extracts. The IC50 results for saffron pollen extract was found to be 0.177±0.08, 0.191±0.09, 0.182±0.08 g per 100 g, for 140, 160 and 180 ˚C, respectively. The best temperature for this purpose with the highest solubility and wettability of the powder is the inlet temperature of 140 ˚C and Outlet temperature of 85 ˚C, thus have potential applications in food and pharmaceutical products.

Investigating the fluctuations in tool vibration during GFRP drilling through recurrence quantification analysis

Abstract: Glass fiber-reinforced polymers (GFRPs) are a unique class of materials in machining because unlike metals, they are not homogeneous. Given the inhomogeneous and anisotropic nature of composite materials, their machining behavior differs in many respects from that of metal machining. With metallic materials, the cutting force is uniform during drilling. Given GFRPs, drill bits are subject to variable cutting forces, whose responses to machining vary significantly. During GFRP drilling, heavy vibration is undesirable and results in rapid tool wear. The cutting condition can be controlled effectively to avoid heavy vibration by applying the appropriate cutting parameters. Hence, the most suitable cutting condition must be selected for proper process control. This study investigates the influence of vibration as a result of changes in cutting condition, drill diameter, and the number of holes. This influence is continuously monitored by the vibration signals generated during GFRP drilling with a TiN/TiALN-coated carbide drill bit. Experiments were conducted on a computer numerical control milling machine. The input parameters used for various cutting conditions were spindle speed and feed. The vibration signal was measured with an accelerometer, and its fluctuations were examined by a non-linear technique called recurrence quantification analysis (RQA). The influence of these fluctuations on vibration and their effect on tool life were also determined using RQA parameters. These parameters include percent recurrence, percent determinism, and percent laminarity. They have been used to study the effect of continuous fluctuations in vibration signals during drilling. This study confirmed that the RQA technique has potential for use in the investigation of a dynamical system.

An improved low-resolution face tracker system using gradient logarithm field feature space and bi-cubic interpolation

Abstract: Face tracking has become an active area of research it is very much helpful in applications such as video surveillance. The factors like illumination discrepancy, face pose variations, occlusions, and background clutter makes face tracking a challenging issue. Even though, a number of related work have been proposed to assist face tracking in unrestrained videos, the existing approaches may not be productive in video surveillance applications. This is mainly because of the fact that low-resolution face comprises of lesser informative data, and main transformations in illumination on the face make the tracking unproductive. In order to overcome this issue, this paper proposes a novel algorithm for illumination normalization and it is combined with the GLF for face tracking for improving the overall performance of the tracker system. Experimental results show that the proposed GLF-based tracker works well under significant clarification changes and outperforms many existing tracking algorithms.

Design of 5G mm-Wave Antenna Using Line Feed and Corporate Feed Techniques

Abstract: In this contribution, we present three different configurations of Microstrip Patch Array Antennas (MPA’s) with three different materials (FR-4, RT-Duroid, and Teflon) to examine their gain with different feed methods at 28 GHz for 5G applications. Measured Return Loss (S11) and gain are presented for all the types. The simulated result showed that the designed antennas are able to operate at 28 GHz. The designs for all the MPA’s are simulated using Advanced Design System 2009 (ADS) software.