Journal of Science & Technology (JST)
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UV Assisted Photocatalytic degradation of Azo dye in Textile Effluent by Advanced Oxidation Processes Using TiO2 Nanoparticles
Get PDFIn the present investigation the photocatalytic degradation studies of Orange G (azo dye) employing Advanced Oxidation Processes (AOP) in aqueous suspension under 8W low-pressure mercury vapor lamp irradiation is demonstrated. The optimization of various experimental parameters such as effect of catalyst concentration, effect of substrate concentration, effect of addition of H2O2 is thoroughly investigated. Additionally, the obtained results indicates that the employment of AOPs process and selection of the operational parameters led to a complete degradation and substantial dye mineralization supported by the values of the reduction in Chemical Oxygen Demand (COD) and Total Organic Carbon (TOC) of the treated dye solution
Decision Tree Analysis on J48 Algorithm for Data Mining
Get PDFThe Data Mining is a technique to drill database for giving meaning to the approachable data. It involves systematic analysis of large data sets. The classification is used to manage data, sometimes tree modelling of data helps to make predictions about new data. This research is focussed on J48 algorithm which is used to create Univariate Decision Trees. The research study also discuss about the idea of multivariate decision tree with process of classify instance by using more than one attribute at each internal node. The core concept behind the topic is to getdepth knowledge with new areas of research by explore more about data, information, knowledge, data mining techniques, and tools. All the results with experiment on Weka are finally examined
Comparative Study of Adsorption of Red Gram Seed Husk for the Adsorption of Congo Red, Crystal Violet, and Methylene Bluefrom Aqueous Solution
Get PDFMany industries such as paper, food, cosmetics, textiles etc. use dyes in order to color their products. The presence of Congo red, Crystal violet and Methylene blue dyes in water even at very low concentration is highly visible and undesirable. The degradation by-products of organic dyes have dangerous impacts on the environment. The ability of the low-cost materials viz. red gram seed husk (RGSH) powder to remove Methylene Blue (MB), Congo Red (CR), and Crystal Violet (CV), dyes in aqueous solution was studied by using batch adsorption process. Effect of contact time, adsorbent dosage (g/L), pH, and effect of temperature were studied in batch technique and results showed that amount of the dye adsorbed increases with increase in contact time and adsorbent dosage studied. The extent of adsorption was strongly depending on pH of solution, free energy of adsorption (∆G°), enthalpy (∆H°), and entropy (∆S°) changes were calculated. Equilibrium adsorption isotherms and kinetic were investigated. The experimental data were analyzed by the Langmuir and Freundlich models and the isotherm data fitted well to both Langmuir Freundlich isotherm. The kinetic data obtained were analyzed using a pseudo-first order and pseudo-second-order equation. The experimental data fitted very well the pseudo second-order kinetic model
Thermodynamic Study of the formation of transition metal ion complexes carrying medicinal drug in mixed solvent media
Get PDFStability constant of Labetalol drug with transition metal ions Fe3+, Co2+, Ni2+, Cu2+, Zn2+ and Cd2+ using a pH metric titration technique in 20%(v/v) ethanol-water mixture at three different temperatures 300K, 310K & 320K at an ionic strength of 0.1M NaClO4 were studied. Calvin-Bjerrum method as adopted by Irving-Rossotti has been employed to determine metal-ligand stability constant logK values. The trend in the formation constants for transition metal ions follows the orderFe3+>Cu2+ > Zn2+ > Cd2+ >Ni2+ > Co2+.The thermodynamic parameters such as, Gibb’s free energy change ΔG, entropy change ΔS and enthalpy change ΔH associated with the complexation reactions were calculated
The Internet of Things (IoT): Revolutionizing Connectivity
Get PDFThe things we do every day are controlled by information and communications technology (ICT). It's an important partof our life-critical system because it lets different kinds of gadgets talk to each other in many ways. Many things use it,like personal computers, sensors, monitoring, smart houses, entertainment, transportation, and live videos. As animportant live thing, the Internet is constantly changing and growing, which makes new technologies, apps, protocols,and algorithms possible. As portable communication trends speed up, new ways to connect to the internet and get high-speed mobile broadband are being created all the time. Communication gadgets that don't need infrastructure becomemore common, smart, strong, connectable, smaller, cheaper, and easy to set up and use. In the world of ICT, this means anew path forward: the Internet of Things (IoT). The Internet of Things (IoT), which was first called Machine-to-Machine(M2M) interactions, is now a major issue in the ICT and study fields. This essay gives an overall look at the IoT model,including its ideas, rules, and possible advantages. We specifically look at the major IoT devices, new standards, andwidely used apps. This summary can help people who are new to the IoT world and want to learn more about it and helpit grow
Influence of Salt and Pepper Noise on the Edge Detection of Images Using Modified Canny Edge Detector with S-Membership Function
Get PDFEdges in a digital image provide important information about the objects contained within the image since they constitute boundaries between objects in the image. The extraction of these features can be further used
for real time purposes like face recognition, computer vision algorithms etc. But it is somewhat difficult to extract
out all the edges efficiently without affecting the structural properties of an image. Edges in an image represent a swift change in the intensity even in the presence of noise. It is essential to study the edge detecting properties of an image when the noise in the image is abundant. Edge detection in noisy images is in agreement between denoising and edge preserving capability. Various smoothing filters are appropriately studied in the viewpoint of edge detection. This paper describes the influence of various intensity levels of noise in the edge detection of images and detailed statistical metrics for understanding the efficiency of the proposed method. In this work, two images such as butterfly and fruit are considered and salt and pepper noise is added to these images at various levels of intensity (5% to 50%). In the next stage a median filter is utilized to denoise the images and the edges are analyzed with the help of modified canny method using S-membership function. The statistical metrics of shows that the edges of the resultant image is strictly preserved till 25% of noise intensity levels. The severe degradation of edges is observed in the image for the noise intensity levels more than 25% of salt & pepper noise.
 
RASPBERRY PI FACE DETECTION DOOR LOCK
Get PDFA home security system is a need in today's world. However, the usage of keys, security cards, passwords or pattern locks to open most doors has recently been outlawed. Yet robbery and identity theft are much more dangerous repercussions of key loss than the actual loss of a key itself Consequently, this has been deemed a severe problem. A door access control system was successfully installed thanks to the usage of the Internet of Things (IoT). As well as serving as the primary controller for face recognition, youth system, and locking system, the Raspberry Pi is employed as a compact computer board that can be programmed. The guy standing in front of the entryway is captured by a camera on the wall. Whenever the system fails to recognise a person's face, a warning will be sent. Using the Internet of Things, a user may control who has access to a door (IoT). Facial recognition, Rasberry Pi, Internet of things (IOT), and home security systems are some of the terms we'll be using today
FINGERPRINT BIOMETRIC ATTENDANCE AND INFORMATION SYSTEM FOR VETERINARY HOSPITAL DOCTORS
Get PDFIn institutions, corporates and establishments presence of employee to be ensured for to increase productivity. It is necessary to avoid unauthorized person to enter on to the premises. In some areas access of unauthorized person should be well-ordered and watched through an automatic structure of presence. Supervision of individuals is a tough task for the most of the establishments and continuing the attendance documentation is a key reason in public administration. When seeing the veterinary hospitals, taking the attendance of doctors on daily basis and maintaining the records is a major task. Physically taking presence and keeping it for a long time adds to the struggle of this task and more time consuming. An effective system is planned in this work to resolve the problematic of physical attendance. This scheme yields attendance automatically with the aid of a fingerprint recognition system, and all the records are protected for succeeding processes. The planned biometric attendance scheme employs an automatic system to compute attendance of doctors in a veterinary hospital and do further designs of monthly attendance swift in order to reduce humanoid mistakes during controls and also the automatic messaging system to the officials and the close to village farmers. In spirit, the planned system can be engaged in curbing the problems of lateness, stamping and absence in any institution, organization or establishment. The planned system will also improve the productivity of any group
BATCH MODE BIOREMEDIATION STUDY ON REACTIVE BLUE-HER BY Cladosporium oxysporum
Get PDFThe fungus, Cladosporium oxysporum Berk. and Curt. was screened for their ability to decolourize Reactive Blue HER in aqueous solutions and observed that had higher dye decolourization (99.81 %) achieved by live biomass, dead biomass. In batch mode (Agitated mode), the lower concentrations (10 mg/L) of Reactive Blue showed complete removal (100%) at an equilibrium time of
60 min for both live and autoclaved biomass. Dye adsorption isotherm, Langmuir model fitted well with
2
R values more than 0.9. RL (equilibrium parameter) values (indicating type of isotherm) of live and
autoclaved mycelia at different adsorbate concentrations were always less than one and more than zero thereby indicating favourable adsorption of dyes onto the adsorbent. With the increase of dosage, no re-stabilization phenomenon or removal reduction was observed. Highest adsorption was observed in autoclaved biomass, 48.31 mg/g. Agitated mode was found to be more efficient and easy to operate for the removal of dyes
A Literature Review on Dynamic LEO Satellite Communication Network
Get PDFTo support the explosive growth of wireless devices and applications, various access techniques need to be developed for future wireless systems to provide reliable data services in vast areas. With recent significant advances in dynamic low Earth orbit (LEO) satellite network, we present comprehensive study about architecture, communication, key technologies, resource allocation strategies, routing algorithm, mobility management for LEO satellite networks. To identify the gaps, the current state of dynamic LEO satellite communication network is summarized and the challenges facing future LEO satellite communication network are discussed. Worthy research directions are recommended. This article is providing a road map for researchers and industry to shape the future of LEO Satellite Communication Network.