Privacy and Security for Smart Metering System with Fault Controlling Technique

Smart Metering (SM) is an important and essential element of the upcoming energy network. The importance of smart metering is that it interconnects smart grid elements and functions among a two way communication network. The target is to support an economically efficient sustainable power system with high quality and security. To achieve this objective, advanced smart metering functions might include automated meter readings, distributed energy storage, distributed energy resource management, as well as further energy efficiency mechanisms such as real time optimizations for load shifting and scheduling. In existing system the information transmission security, privacy, meter reading observation between network and client then data transmission monitoring system which can be controlled through Wireless Area Network (WAN). However the information transmission observation system has not economical for fault dominant technique. In proposed system, whole system will be monitored, controlled, data have been secured and also effective load scheduling can be provided for this system too. EB line faults such as short circuit, over voltage and under voltage are monitored and controlled through WAN. It improves the protection and privacy of information transmission between network and client. DOI: 10.17762/ijritcc2321-8169.15037

Formulation and Evaluation of Enteric Coated Tablets of Pantoprazole

Pantoprazole is a proton pump inhibitor, belongs to group of benzimidazole, Pantoprazole sodium were prepared by direct compression method using different concentration of, microcrystalline cellulose as filler, mannitol and dicalcium phosphate as diluents, crosscarmellose sodium as disintegrating agents, magnesium stearate and talc was used as a glidant and lubricant respectively. Direct compression is economic compare to wet granulation since it requires fewer unit operations. This means less equipment, lower power consumption, less space, less time and less labour leading to reduced production cost of tablets. The prepared tablets were evaluated for hardness, weight variation, friability and drug content uniformity and it was found that the results comply with official standards. The prepared tablets were coated using enteric coating polymer such as cellulose acetate phthalate, Eudragit L100 and by dip coating method. The in vitro release was studied using acidic buffer pH 1.2 and phosphate buffer pH 6.8. Prepared all batch’s C2F9 was found best, with hardness 5.60 ± 0.24 (Kg/cm2), drug content 99.08 ± 0.35(%), disintegration time 7.02± 0.21(min), and percentage cumulative drug released which started after 120 min and reached 99.72 after 180 min. Stability studies indicated that the developed tablets were stable and retained their pharmaceutical properties at room temperature and 40 °C / 75% RH for a period of 3 month. Key words: Pantoprazole, Direct compression, Proton pump inhibitor, Cellulose acetate phthalate, Eudragit L10

Design and Implementation an RFID Customer Shopping Behaviour Mining System

Shopping behavior data is of great an importance in understanding the effectiveness of marketing and merchandising campaigns. Online clothing stores are capable of the capturing customer shopping behavior by analyzing the click streams and customer shopping carts. Retailers within physical clothing stores, however, still lack effective methods to comprehensively identify shopping behaviors. In this study, we show that backscatter signals of passive RFID tags can be exploited to detect and record how customers browse stores, which garments they pay attention to, and which garments they usually pair up. The intuition is that phase readings of tags attached to items will demonstrate distinct yet stable patterns in a time-series when customers look at, pick out, or turn over desired items. We design Shop Miner, a framework that harnesses these unique spatial-temporal correlations of time-series phase readings to detect comprehensive shopping behaviors. We have implemented a prototype of Shop Miner with a COTS RFID reader and four antennas, and tested its effectiveness in two typical indoor environments. Empirical studies from two-week shopping-like data show that Shop Miner is able to identify customer shopping behaviors with high accuracy and low overhead, and is robust to interference

An Internet Based Framework for Micro Devices Assembly

ABSTRACT This paper outlines the design of an Internet based collaborative framework to support the rapid assembly of micro devices. With the help of an agent programming language called 3APL, a distributed approach to achieving the life cycle of the various phases in the assembly of micro devices has been implemented. A discussion of the various agent resources created for a VE oriented approach is also provided in this paper

Freeze-thaw Resistance of an Alluvial Soil Stabilized with EcoSand and Asbestos-free Fiber Powder

Stabilization of poor soils subjected to large daily temperature variations requires careful selection of suitable stabilizer for improvement of such soils. This study investigated the freeze-thaw resistance of an alluvial soil stabilized with EcoSand and asbestos-free fiber powder (AFP). Physical and mechanical properties of the soil were determined. The soil sample was stabilized with 5 variants of equal mixtures of the EcoSand and AFP in proportions of 2, 4, 6, 8 and 10%, with 1% sodium silicate and 1% fly ash, by weight of the soil. UCS tests were conducted before and after three freeze-thaw cycles, while keeping the sample at 0ºC for 8 hours and later at 30ºC for 8 hours for each cycle. It was found that the 8% EcoSand + AFP with 1% sodium silicate and 1% fly ash content provided an optimized increase of the freeze-thaw resistance of the soil. The use of a mixture of EcoSand and AFP as a soil stabilizer for regions of the world experiencing large temperature variation has the potential to improve the resistance of sand to freezing and thawing

Novel Proposed Work for Empirical Word Searching in Cloud Environment

People's lives have become much more convenient as a result of the development of cloud storage. The third-party server has received a lot of data from many people and businesses for storage. Therefore, it is necessary to ensure that the user's data is protected from prying eyes. In the cloud environment, searchable encryption technology is used to protect user information when retrieving data. The versatility of the scheme is, however, constrained by the fact that the majority of them only offer single-keyword searches and do not permit file changes.A novel empirical multi-keyword search in the cloud environment technique is offered as a solution to these issues. Additionally, it prevents the involvement of a third party in the transaction between data holder and user and guarantees integrity. Our system achieves authenticity at the data storage stage by numbering the files, verifying that the user receives a complete ciphertext. Our technique outperforms previous analogous schemes in terms of security and performance and is resistant to inside keyword guessing attacks.The server cannot detect if the same set of keywords is being looked for by several queries because our system generates randomized search queries. Both the number of keywords in a search query and the number of keywords in an encrypted document can be hidden. Our searchable encryption method is effective and protected from the adaptive chosen keywords threat at the same time

Strength characterisation of self cured concrete using AI tools

Civil engineering experimentation process is termed to be a costly process when it involves destructive testing of materials to obtain their strength and durability. Testing of materials through destructive process is century old procedure, but recent decade science involves the prediction of strength and durability using alternative methods. One such method to predict the strength in nondestructive method is employment of Soft computing technologies, this process is gaining impetus in the recent decade due to its accuracy, reliability, and versatility. In this research, we had employed artificial intelligence tool to predict the compressive strength of concrete with available real time laboratory-based data. AI tools require a greater number of data to predict the results but in this work and attempt is made to predict using a smaller number of data with more accuracy. Compressive, flexure and tensile strength of concrete is predicted using ANN techniques (Levenberg-Marquardt (L-M) process and Bayesian regularization (B-R)). Two input parameters were only employed to check the real time accuracy with a model that has 12 input layers and 18 hidden layers incorporated. Model output shows regression values of 0.97428, 0.92865 and 0.96772, concerned with L-M algorithmic model and 0.96573, 0.95625 and 0.91787 for BR based model. Also, its observed that while using L-M algorithm the best performance was obtained at 1.3287 at epoch 2 for compressive strength and 0.12417 is achieved at epoch 1 for tensile strength and 0.021578 at epoch 3 concerned with flexural strength. Also with B-R algorithm provided best performance of 2.1488 at epoch 4 for compressive strength, a value of 0.43468 at epoch 3 for flexural strength and 0.015279 for tensile strength reached at epoch 30. Thus we propose the usage of ANN even with less number of data using this method for predicting the values of compressive strength of concrete. � 2020 The Authors. Published by Elsevier Ltd

Variability in quality attributes of paprika and paprika alike chillies (Capsicum annuum L.)

An investigation was carried out to assess the variability in paprika alike chillies (26 indigenous germplasm) and paprika lines (18 exotic collections) for yield and quality attributing parameters, which would inturn help in identifying and utilizing the promising lines for crop improvement. Highly significant variation was recorded among the genotypes for yield and quality contributing characters. Kt-Pl-19, Kt-Pl-19 variant–I, ICBD-10, ICBD-8, SSP-1999 and PBC-171, were found promising, while ICBD-10, ICBD-8, ICBD-1, ICBD-11, ICBD-6, ICBD-19, CC-1, EC-171, EC-490, EC-18, EC-6, EC-45, EC-71 and EC-14 proved to be ideal for quality attributes. Based on yield and quality parameters, the genotypes ICBD-10, ICBD-8 and EC-18 were found suitable for paprika industry with high yield (> 850 g plant–1) and high quality attributing characters (> 200 ASTA units and < 0.5% capsaicin). Among the various characters, maximum coefficient of variation (15.25%) was recorded for capsaicin content in both indigenous and exotic germplasm and minimum variation for color value (0.46%) in the indigenous germplasm and weight of pericarp (6.78%) in the exotic collections. &nbsp

Variability and character association in paprika and paprika alike chillies

An experiment was conducted to estimate variability and character association in a set of 25 indigenous (paprika alike chillies) and 18 exotic (paprika) germplasm of paprika. Wide range of variation was observed for all the characters except for capsaicin content, weight of seeds, fruit girth and length. The maximum range of variation was recorded for yield plant-1 followed by color value, plant height and number of seeds fruit-1. Among the various traits, maximum coefficient of variation was observed for capsaicin content, followed by weight of pericarp fruit-1, yield plant-1 and weight of seeds fruit-1 in the indigenous lines of paprika. Similarly, in the exotic and combined germplasm of paprika and paprika alike chillies, maximum range of variation was registered with yield plant-1, followed by color value, number of seeds fruit-1 and plant height and narrow range of variation was observed with capsaicin content. In the combined germplasm, maximum coefficient of variation was recorded with capsaicin content, followed by weight of pericarp fruit-1, yield plant-1 and color value. Weight of pericarp, number and weight of seeds fruit-1 were identified as important yield components and selection should be focused on these traits for improvement of paprika and paprika alike chillies. &nbsp

Cluster analysis based on biochemical constituents in paprika like chillies (Capsicum annuum L.)

Chillies and paprika like chillies (Capsicum annuum L.) belonging to Solanaceae, is a source of natural colour, widely used in the food industry and is in great demand in the international market. Twenty-four accessions belonging to Indigenous Collections of Byadagi Dabbi (ICBD) and others were analyzed for biochemical constituents from leaf. Biochemical constituents studied were total carbohydrate, starch, reducing sugars, total free amino acids, phenol and protein. The accessions were compared for the isozymes viz., peroxidase, super oxide dismutase and poly phenol oxidase in the leaf, besides, leaf protein using SDS-PAGE. The dendrogram showing the relationship among the accessions for leaf biochemical constituents and colour value of fruits formed six clusters. Colour value ranged from 109 to 353 ASTA units. The accessions ICBD-11 and ICBD-19 possessed highest colour value. Accession ICBD-24 was distinctly different from others. Accessions in each cluster had almost uniform colour value and uniform isozyme profile. The accession ICBD-24 was a Coorg collection and ICBD-11 and ICBD-19 were from Dharwad district of Karnataka. Significant positive correlation was observed between colour value and total free amino acids, total protein, total phenol and polyphenol oxidase in paprika like chillies. &nbsp