Utilizing Radiant Nanoparticles in Silicon for Balanced White Color Adapters

Silicon - This work fully depends on the silicon nanoparticles. It is represented as SiNPs. This depends on the transparent LEDs color converters. The spectrum obtained is fully white, so it is...     

Improvement of constructive heuristics using variable neighbourhood descent for scheduling a flow shop with sequence dependent setup time

This paper deals with the problem of scheduling a flow shop operating in a sequence dependent setup time environment. The objective is to determine the sequence that minimises the makespan. Two efficient neighbourhood search-based heuristics have been developed and tested using 960 problems, and the results obtained reveal their usefulness. The algorithms make use of two existing constructive heuristics. A neighbourhood search known as variable neighbourhood descent is used to improve the two constructive heuristics. Experimentation is carried out on the 96 groups of problems with 10 problem instances in each group. Performance analysis is carried out using the relative performance improvement of each heuristic. The analysis shows a consistently better performance of the neighbourhood-based improvement heuristics. A paired comparison test is used for validating the superiority of the proposed heuristics. The statistical analysis reveals that the performance of the neighbourhood-based heuristics is very much dependent on the initial constructive heuristics used.     

Sensory quality and food safety of boneless chicken breast portions thawed rapidly by submersion in hot water

Boneless chicken breast portions were thawed by submersion in hot water (60 °C) and compared to refrigerator thawing. Thawing in hot water was significantly quicker (2–8.5 min) than refrigerator thawing (10–15.5 h). Thawing time in hot water increased with an increase in meat thickness. Sensory panelists could not distinguish a difference between hot water versus refrigerator thawed and subsequently grilled chicken breast portions. A model for Salmonella growth predicts that thawing chicken breast at the slowest rate in this study (0.5 °C/min) would result in a lower increase in the Salmonella concentration than that expected for room temperature storage for 4 h.     

A Simple Rationally Integrated Drought Indicator for Rice–Wheat Productivity

Water is essential for growing food and in some areas without irrigation agricultural production would not possible. Crop specific agricultural drought assessment requires integrated information on meteorological parameters, soil characters and plant vegetative dynamics throughout the growing season. Meteorological, Crop Growth Simulation Model and Space based approaches have their own inherent limitations. The main objective of this study is to examine the possibility of developing a rationally integrated drought assessment indicator for rice–wheat productivity over Indo-Gangetic Plains in India (IGP-India). Rice(Oryza sativa)–Wheat(Triticum aestivum) (RW) system is the major cropping system of the IGP-India and occupies 10 million hectares and provides food security and livelihoods to the people of this region. There are four major reasons for droughts in IGP-delay in the onset of monsoon/ failure of monsoon, variability of monsoon rainfall, long break in monsoon and areal difference in the persistence of monsoon. The Rational Integrated Drought Assessment Index (RIDAI) developed here explains 72% variations in rice productivity while it explains 94% variations of wheat productivity. Thus, this combined drought index tool captures all the drought years in the selected study area and this tool can be useful for getting preliminary assessment of drought impact, so that the researchers and planners can use this integrated tool for their decisions.     

Security challenges in internet of things: Distributed denial of service attack detection using support vector machine-based expert systems

The rapid development of internet of things (IoT) is to be the next generation of the IoT devices are a simple target for attackers due to the lack of security. Attackers can easily hack the IoT devices that can be used to form botnets, which can be used to launch distributed denial of service (DDoS) attack against networks. Botnets are the most dangerous threat to the security systems. Software-defined networking (SDN) is one of the developing filed, which introduce the capacity of dynamic program to the network. Use the flexibility and multidimensional characteristics of SDN used to prevent DDoS attacks. The DDoS attack is the major attack to the network, which makes the entire network down, so that normal users might not avail the services from the server. In this article, we proposed the DDoS attack detection model based on SDN environment by combining support vector machine classification algorithm is used to collect flow table values in sampling time periods. From the flow table values, the five-tuple characteristic values extracted and based on it the DDoS attack can be detected. Based on the experimental results, we found the average accuracy rate is 96.23% with a normal amount of traffic flow. Proposed research offers a better DDoS detection rate on SDN.     

Highly active Zr co-doped Ag–ZnO photocatalyst for the mineralization of Acid Black 1 under UV-A light illumination

The Zr co-doped Ag–ZnO (Zr–Ag–ZnO) was successfully synthesized by precipitation–decomposition method. The photocatalytic activity of Zr–Ag–ZnO was investigated for the degradation of Acid Black 1 (AB 1) in aqueous solution using UV-A light. Co-dopants shift the absorbance of ZnO, both in UV and visible region. Zr–Ag–ZnO is found to be more efficient than Ag–ZnO, Zr–ZnO, commercial ZnO, prepared ZnO, TiO₂–P25 and TiO₂ (Merck) at pH 9 for the mineralization of AB 1 under UV-A light. The influence of operational parameters such as the amount of photocatalyst, dye concentration, initial pH on photo mineralization of AB 1 has been analyzed. The mineralization of AB 1 has been confirmed by COD measurements. Mechanism of degradation by Zr–Ag–ZnO is proposed. The catalyst is found to be reusable.     

A BioDVD media with multilayered structure is suitable for analyzing biomolecular interactions

A biomolecular interactive analysis with antibody-antigen and aptamer-protein was evaluated on Au-over layers deposited on the BioDVD surface. BioDVD consists of multilayered structures with Au layer on the top and it detects analytes by monitoring the changes in reflected light intensity due to analyte adsorption to the sensor surface, on which functional biomolecules are immobilized to bind specifically to the analytes. The BioDVD sensing instrument is based on a commercial digital versatile disc system, which allows the instrument to be small and inexpensive. The BioDVD platform can be fabricated utilizing mass production techniques with additional functional phase change layers that can serve both to enhance sensitivity by optimization of the interferometric cavity optical properties and also as a possible medium for the storage of test related information.     

Reconfigurations of manufacturing systems—an empirical study on concepts, research, and applications

It is well known that the performance of a manufacturing system is susceptible to sudden changes in demand, either in terms of the quantity of products concerned or the product mix. Traditional manufacturing managers have been dealing with such situations by resorting to outsourcing of products; employing additional resources in terms of overtime, extra shifts, etc.; and adopting back logging policies using the goodwill of customers or making use of effective scheduling and inventory policies. However, in the recent times, they are also presented with the option of reconfiguring the manufacturing system (RMS), which offers a number of benefits. There are several keys enabling technologies to realize these benefits. The review of related literature helped in realizing that there are a number of alternative ways of resorting to reconfiguration. In this paper, the views and experiences of various researchers and practitioners as reported in literature are presented in an encapsulated manner bringing forth the multidimensional aspects of the subject area RMS. From various accounts reported in the international and Indian media, it is evident that the Indian manufacturing sector is performing well and is trying out various innovative practices; interestingly, many of which are related to RMS. A survey of Indian industries was carried out with the help of a survey using questionnaire as an instrument. The survey revealed various interesting facts about various RMS practices followed by the Indian manufacturing sector and the impact of reconfiguration on various performance measures of these organizations. The details of the survey and the findings of the same are also presented in this paper.