Role of Social Media influence on Customers Impulsive Buying Behaviour towards Apparel

The purpose of this research is to study the association between Social Media factors towards Impulsive Buying Behavior of apparel among the customers in Chennai city. The are three important Social Media feature are being acknowledged like (Media Entertainment, Social Interaction ,Word of mouth ) which are endogenous variables in the study and the customer impulsive buying behavior as a exogenous variable. Each of the Social Media factors was tested using SPSS software .The test comprises of cronbach alpha, SEM. The test help us to understand the consumers response towards the Social Media factors. Non-Probability sampling technique was implemented for the collection of data. A consistent questionnaire was used in the study .It was circulated among 230 respondents 194 responses was received back 92%was the response rate of the study . Key words: Customers, Impulsive Buying Behavior, Social Media, Word of mouth, Social Interaction, Media Entertainmen

Desuperheater Temperature Control System Using Distributed Control System (DCS)

The Control System for Desuperheater Temperature of Boiled water is a critical task in industry. In this Paper reviews the study and collection of measurement datas from in TNPL ( Tamil Nadu Newsprint and Papers Limited) Power Plant , there are three sections namely Deaerator tank, Boiler and Turbine. I have done this work in the turbine section. The steam f rom the Boiler is at very High Temperature. The temperature of this high temperature steam is lowered by spraying the oxygen dissolved water using Desuperheater. The spraying water is controlled by Distributed Control System ( DCS ). The Input to the turbine is at High Temperature and High Pressure steam. The output of the turbine is mentioned in Mega Watts. When the superheated steam is given to the turbine then the Temperature and Pressure output steam condition is Low. The Low level steam is fed to the Desuperheater depends upon requirements in the various units. It is supplied to each section in TNPL

Isolation, Extraction, and Characterization of Verotoxin-producing Escherichia coli O157:H7 from Diarrheal Stool Samples

Background: Escherichia coli O157:H7 infection causes hemorrhagic colitis and is diagnosed based on symptoms such as cramps, stomach pain, and watery diarrhea. Shiga-like toxins (Verotoxin) produced by Escherichia coli O157:H7 damages endothelial cells of both kidney and brain, causing renal dysfunction and neurological problems. Methods: The present study focuses on identifying the prevalence of Verotoxin- producing Escherichia coli O157:H7 among diarrheal inpatients at Erode Government Hospital, India, and its antibiogram. Further, the Verotoxins were characterized by using SDS-PAGE analysis. A total of 123 diarrheal stool samples were collected, and 37 of them (30.08% of the total samples) were found to have the presence of E. coli. The organisms were identified based on their colony morphology on various media, cell morphology, and biochemical tests. The Shiga-like toxin production was identified by non-fermentation of sorbitol on SMAC agar plates. Confirmation of Shiga-like toxin was performed using agglutination assay.Results: In total, 12 isolates showed agglutination and these isolates were confirmed to be E. coli O157:H7. The molecular weight of the Verotoxin was found to be between 20 and 29 kD. The antibiogram profile of the four isolated strains against 10 standard antibiotics was determined.Conclusion: The results of this study show the occurrence of drug resistance on hemorrhagic colitis causing E. coli O157:H7. Keywords: E. coli, Verotoxin, diarrhea, hemorrhagic coliti

Isolation, Extraction, and Characterization of Verotoxin-producing Escherichia coli O157:H7 from Diarrheal Stool Samples

Background: Escherichia coli O157:H7 infection causes hemorrhagic colitis and is diagnosed based on symptoms such as cramps, stomach pain, and watery diarrhea. Shiga-like toxins (Verotoxin) produced by Escherichia coli O157:H7 damages endothelial cells of both kidney and brain, causing renal dysfunction and neurological problems. Methods: The present study focuses on identifying the prevalence of Verotoxin-producing Escherichia coli O157:H7 among diarrheal inpatients at Erode Government Hospital, India, and its antibiogram. Further, the Verotoxins were characterized by using SDS-PAGE analysis. A total of 123 samples were collected both from diarrheal stools, and strains from 37 samples (43.02 %) were found to have the presence of E. coli.  The organisms were identified based on their colony morphology on various media, cell morphology, and biochemical tests. The Shiga-like toxin production was identified by non-fermentation of sorbitol on SMAC agar plates. Confirmation of Shiga-like toxin was performed using agglutination assay.  Results: In total, 12 isolates showed agglutination and these isolates were confirmed to be E. coli O157:H7. The molecular weight of the Verotoxin was found to be between 20 and 29 kD. The antibiogram profile of the four isolated strains against 10 standard antibiotics was determined. Conclusion: The results of this study show the occurrence of drug resistance on hemorrhagic colitis causing E. coli O157:H7

Treatment of wastewater from synthetic textile industry by electrocoagulation and electrooxidation

Treatment of wastewater from a textile industry that produces synthetic polyester cloths was studied employing electrochemical techniques. The sample was initially subjected to electrocoagulation to remove suspended solids. Mild steel and aluminum electrodes were tried as anodes; and aluminum was found to be effective for the removal of suspended solids. Using aluminum as anode, the chemical oxygen demand (COD) concentration of the effluent which was initially at the level of 1316 mg L−1 could be reduced to 429 mg L−1 by electrocoagulation. After electrocoagulation, the effluent was further subjected to electrooxidation using graphite and RuO2/IrO2/TaO2 coated titanium as anodes. During the electrooxidation tests, both COD and chloride ion were simultaneously estimated; and the effect of Cl− ion is discussed. The measurements have revealed the depletion of Cl− ion concentration implying the generation of free chlorine during electrooxidation. The depletion of Cl− ion concentration and the COD removal were observed to be comparatively high in the presence of graphite electrode. The effects of electrode materials and current density on COD removal are discussed. The instantaneous current efficiency (ICE), mass transfer coefficient and energy consumption were estimated

Nanoscale Friction Switches: Friction Modulation of Monomolecular Assemblies Using External Electric Fields

This paper presents experimental investigations to actively modulate the nanoscale friction properties of a self-assembled monolayer (SAM) assembly using an external electric field that drives conformational changes in the SAM. Such “friction switches” have widespread implications in interfacial energy control in micro/nanoscale devices. Friction response of a low-density mercaptocarboxylic acid SAM is evaluated using an atomic force microscope (AFM) in the presence of a DC bias applied between the sample and the AFM probe under a nitrogen (dry) environment. The low density allows reorientation of individual SAM molecules to accommodate the attractive force between the −COOH terminal group and a positively biased surface. This enables the surface to present a hydrophilic group or a hydrophobic backbone to the contacting AFM probe depending upon the direction of the field (bias). Synthesis and deposition of the low-density SAM (LD-SAM) is reported. Results from AFM experiments show an increased friction response (up to 300%) of the LD-SAM system in the presence of a positive bias compared to the friction response in the presence of a negative bias. The difference in the friction response is attributed to the change in the structural and crystalline order of the film in addition to the interfacial surface chemistry and composition presented upon application of the bias

Design of an efficient battery model using evolutionary algorithms.

Batteries play a vital role in current scenario of energy storage, even though many techniques of energy storage are available, since the time taken to start delivering the stored energy is very less. The battery life time depends upon its charging and discharging characteristics, which are in turn, depend on the internal parameters of battery. These parameters include resistance, capacitance and open circuit voltage. The amount of energy stored in the battery can be calculated by estimating these parameters. In this paper, an optimized model for Lithium ion batteries is presented using evolutionary algorithms to estimate the internal parameters of the battery over different charging and discharging rates. A sample EIG make, 2.5 V, 8 Ahr Lithium ion battery is modeled using two evolutionary algorithms such as genetic algorithm and Covariance Matrix Adaptation Evolution Strategy (CMA-ES) for different charging and discharging rates. The results of two algorithms are compared with the catalog values given by the manufacturer in order to identify the appropriate algorithm for battery modeling and validation. This paper concludes that battery characteristics obtained by CMA-ES algorithm match with the measured manufacturer characteristics

A novel energy-efficient sybil node detection algorithm for intrusion detection system in wireless sensor networks

A Wireless Sensor Network (WSN) is vulnerable to different types of security attacks where the attackers could easily intrude into the network and could cause inexplicable destruction by disrupting the expected functionalities of the network. Severe drainage of battery may occur due to the attacks and as a result, the lifetime of the network may decrease drastically. In this paper, an energy-efficient integrated Intrusion Detection System (IDS) is proposed to detect network layer Sybil attack. Our scheme spots out accurately and purges out the Sybil node which may falsely behave as a genuine node. The experimental results show that the critical factor in WSN, energy is conserved more efficiently by the proposed scheme than the existing alternative methods. Also, accurate detection of the malicious node is possible spending relatively less energy

An integrated optimization approach to locate the D-STATCOM in power distribution system to reduce the power loss and total cost

The optimization problem with a single objective can obtain a single solution, called an optimal solution. It maximizes or minimizes the performance of a particular objective function to a given constraint. But, in the case of the multi-objective optimization, different objectives can be simultaneously optimized. Thus, this paper recommends a multi-objective optimization methodology for simultaneously perform the two objective functions such as resizing and optimal placement of Distributed Static Compensator (DSTATCOM) for reducing the power loss, total cost and enhancing the voltage profile. For these purposes, an integrated approach of two optimization algorithm called Multi-objective Ant Colony Optimization (MACO) and Bacterial Foraging Optimization Algorithm (BFOA) are used. The prime intention of this work is to bring down the power loss, total cost and enhance the voltage profile by placing the DSTATCOM device in an optimal location. Here, IEEE-30 and IEEE-69 bus systems are considered to appraise the recital of the recommended approach. Moreover, the effectiveness of the MACO-BFOA approach is evaluated and compared with other multi-objective algorithms. From this analysis, it is observed that when compared to these techniques, the proposed system provides the minimized power loss and total cost