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A novel automated method for the detection of strangers at home using parrot sound
The sound produced by parrots is used to gather information about their behavior. The study of sound variation is important to obtain indirect information about the characteristics of birds. This paper is the first of a series in analyzing bird sounds, and establishing the adequate relation of bird's sound. The paper proposes a probabilistic method for audio feature classification in a short interval of time. It proposes an application of digital sound processing to check whether the parrots behave strangely when a stranger comes. The sound is classified into different classes and the emotions of the birds are analyzed. The time frequency of the signal is checked using spectrogram. It helps to analyze the parrot vocalization. The mechanical origin of the sound and the modulation are deduced from spectrogram. The spectrogram is also used to check the amplitude and frequency modulation of sound and the frequency of the sound are detected and analyzed. This research and its findings will help the bird lovers to know the bird behavior and plan according to that. The greater understanding of birds will help the bird lovers to feed and care for birds. BEIESP. -
A Novel Assessment of Healthcare Waste Disposal Methods: Intuitionistic Hesitant Fuzzy MULTIMOORA Decision Making Approach
Waste produced from medical facilities systems incorporates a blend of dangerous waste which can posture dangers to humans and ecological receptors. Lacking administration of healthcare waste can prompt hazard to medicinal service specialists, patients, public health, communities and the wider environment. Hence, proper management of healthcare waste is imperative to reduce the associated health and environment risk. In this paper, we extend the MULTIMOORA decision making method with intuitionistic hesitant fuzzy set to evaluate the healthcare waste treatment methods. Intuitionistic hesitant fuzzy set is a generalized form of a hesitant fuzzy set. Intuitionistic hesitant fuzzy set considers the uncertainty of data in a single framework and take more information into account. The MULTIMOORA method consists of three parts namely the ratio system, reference point approach and the full multiplicative form. In the optimal ranking methods, the IHF-MULTIMOORA method is uncomplicated it is able to be used practically with high dimension intuitionistic hesitant fuzzy sets. For pathological, pharmaceutical, sharp, solid and chemical wastes, the preferred waste disposal methods are deep burial, incineration, autoclave, deep burial, and chemical disinfection, respectively. 2013 IEEE. -
Magnetohydrodynamic squeezing two-phase flow of particulate suspension in a rotating channel with transpiration cooling
This article addresses the time-dependent two-phase magnetohydrodynamic squeezing flow of dusty liquid. The fluid flow is considered in a rotating channel. The flow is constructed by squeezing of an upper plate and stretching of the lower plate and relevant equations are obtained. Numerical results are computed by utilizing shooting method along with the RKFehlberg scheme. The obtained solutions are validated by comparison with the existing analytical solutions. The effects of pertinent parameters on velocities of both phases are comprehensively discussed through graphical results. The numerical values of shear stress of both phases at lower and upper walls are also tabulated. Furthermore, the slope of the linear regression line through data points is determined in order to quantify the increase/decrease. Numerical simulations disclosed that the normal and transverse velocities are decreased due to stronger Coriolis force. It is also established that the velocities of the fluid phase are higher than that of the dust phase IMechE 2018. -
Comparative study of soil properties and vegetation at various open dump and non-dumpsites in the Bengaluru city of Karnataka, India
A comparative field studies on seven municipal dumpsites namely Agara 1 (12.917N, 77.639E), Agara 2 (12.922N, 77.639E), HSR depot (12.919N, 77.644E), Koraman-gala Church (12.934N, 77.626E), Koramanagla BDA (12.931N, 77.625E), Garvebhayipalya (12.897N, 77.638E) and Sanjay Gandhi hospital (12.891N, 77.601 E), and its adjoining non-dump sites were conducted to understand their soil characteristic features and the vegetation pattern. Soil characteristics were presented in terms of the physicochemical parameters and the vegetation patterns were presented in terms of the dominance using the ecological parameter Important Value Index (IVI). Soils at the dump sites showed higher mean electrical conductivity and pH values as compared to the non-dump sites. Though the mineral content showed higher mean value in the dump sites (except chloride), there is no significant variation in the higher total soluble solutes between dump and non-dump sites(P>0.05) As per ANNOVA there was highly significant variation in the heavy metal content between dump and non dumpsites (P<0.01).. With respect to vegetation analysis though 50 different species found across locations only 10 species viz Alternatheria sessile, Amaranthus spinose, Caesalpinia pulcherima, Ipomea acumilanata, Ipomea evolvulus, Parthenium hysterophorous Pisum sativum, Ricinis communis, Sida rombifolia and Solanum lycopersicum were found consistent across all locations irrespective of the seasons. Among these, A. sessile, R. communis and A. spinosa were found dominant based on the IVI values across seven locations which further can be studied for their potential for phyto remediating the land pollutants such as heavy metals. 2019, Applied and Natural Science Foundation. All rights reserved. -
Accumulation of lead (Pb II) metal ions by Bacillus toyonensis SCE1 species, innate to industrial-area ground water and nanoparticle synthesis
Groundwater samples were collected from Peenya Industrial area of Bengaluru, India to check its inherent bacterial population. After the isolates were grown in lead-induced media, the bacteria that could resist lead were further isolated, identified, and grown. The isolated bacterium was identified as Bacillus toyonensis SCE1 species, and the maximum amount of lead taken up by it to sustain itself as a live biomass was 8ppm. Lead accumulation was studied based on different factors such as pH, concentration, and time. Bacterial characterization through scanning electron microscopy showed there was lead sorption on the bacterial cells. Transmission electron microscopy revealed that accumulated lead ions inside the bacteria were in the range of 180190nm, this was found to correlate with the data obtained by the particle size analyzer. The optimum pH for highest lead accumulation was 7.2, for a time period of 160min. It was observed that the stable production of homogenous nanoparticles using biomass could be achieved by optimizing factors such as incubation period, agitation, pH, temperature, and contact time. 2018, Springer-Verlag GmbH Germany, part of Springer Nature. -
Modeling the impact of political risk components on major macroeconomic variables
The risks of the political conditions prevailing in an economy are found to have a significant impact on its stock market. Such political risks can distort the entire economy. This study investigated the impact of political risk on major macroeconomic variables which are the indicators of growth in any economy by considering the various components of political risk as given by World Bank's worldwide governance indicators. Using a panel data approach, it modeled the major macroeconomic variables of eleven emerging and frontier Asian economies with various components of political risk. The study found that irrespective of the inter-linkages among different macroeconomic variables, they were not affected by the same political risk components. Most importantly, it revealed that GDP did not respond to any of the political risk components, whereas the exchange rate was found to be affected by all the political risk components. The study also found that FDI, inflation, and real interest rate were affected by one or more political risk components. 2019 AESS Publications. All Rights Reserved. -
Perceptual gap among corporate world, academics and students: Personal qualities and employability competencies of students
Personal qualities and employability competencies influence how an individual interacts with others. Employers value employability skills because they are linked to how employees get along with co-workers and customers, job performance, and career success of the employee. Hence personal qualities and employability competencies are considered as one of the essential components for an individuals career development. This study aims to understand the perceptual gap among the corporate world, business school academics and business school students. This study is quantitative in nature and primary data was collected through survey method. The primary data was collected from 377 Master of Business Administration (MBA) students, 276 Business School faculties and 98 managers representing 100 different companies in Bangalore, India. Three different questionnaires were prepared for three groups. All three sets of respondents were asked to rate their perception towards the requirement of personal qualities and skill/competencies required at the workplace in an entry-level job. The study highlights that there is a significant difference in the perception of students, business school faculty and managers towards listed personal qualities and competencies. These perceptual differences result in different types of costs to the company in terms of time, money and energy. The results will help the business schools to develop an innovative business curriculum that can fill the current industry needs. 2019, University of Malaya. All rights reserved. -
Taxonomic revision and molecular phylogeny of flemingia subgenus rhynchosioides (Leguminosae)
A taxonomic revision of Flemingia subg. Rhynchosioides based on morphology and molecular information (matK and ITS) is presented. The subgenus comprises six herbaceous taxa (F. gracilis, F. mukerjeeana, F. nilgheriensis, F. rollae, F. tuberosa and F. vestita). All species except F. vestita are endemic to India. Morphological evidence and molecular phylogeny revealed that the subgenus is monophyletic. Nevertheless, the systematic position of F. tuberosa remains unclear on account of its unique ecology and inflorescence. A new species, F. mukerjeeana, is described and four binomials, namely F. gracilis, F. nilgheriensis, F. tuberosa and F. vestita have been lectotypified. Furthermore, all species have been described, illustrated and their ecology discussed. A taxonomic key including the recently described species from Thailand, F. sirindhorniae, is also provided for easy identification. 2019 Naturalis Biodiversity Center. -
Progressive crude oil distillation: An energy-efficient alternative to conventional distillation process
Distillation, the major process in crude oil refineries as of now. In this work we focused the attention to energy saving with respect to an industrial crude oil distillation unit. An alternative to the conventional crude oil distillation model present in the Bharat Petroleum Corporation, Kochi Refinery is proposed and simulated. The theoretical predictions as well as the simulated results indicate that the Progressive crude oil distillation reduces the utility burden as well as increase the extraction of more valuable light components. The simulation was carried out using Aspen HYSYS V8.8.2. Different crudes are taken into account and their properties and amount of distillate are analyzed. The optimization is done in an easy manner rather than the conventional mathematical method, together with the advanced process control tools; make it profitable in the operation in real time. 2018 Elsevier Ltd -
Classification and correlational analysis on lower spine parameters using data mining techniques
The application of data mining in the field of medical science is slowly gaining popularity. This is due to the fact that enormous statistical inferences from data related to the human body and medicine was a possible with high accuracy rates which was a tedious task in the past. This had led to discoveries and breakthroughs which has saved thousands of lives. Lower back pain is one of the most common issues faced by majority of the population throughout the world. The early detection and treatment of LBP can avoid life threatening issues in the body. Objective: This study aims to create a classification model which can be used to detect an unhealthy spine using the lumbar and sacral parameters. Correlational analysis was performed between different attributes to find distinguishing factors between healthy and unhealthy spine. Method: Classification methods were used such as decision tree and SVM. Correlational analysis was performed using pearson method between each attribute. Results: After creating the model using the different classification methods it was found that Ctree produced the highest accuracy with 92.80% on average. It was also found that there were 6 attribute pairs that had high correlation coefficient to distinguish unhealthy and healthy spine observations. BEIESP. -
Ethical living and work self efficacy beliefs of academicians of higher education in ASIA: A key determinant of one's belief in one's ability to achieve the desired result in a precise state of affairs
Ethical academicians are perfectly virtuous. They always strive for greater virtue and follow strictly the moral stands of their profession. The ethical living and self-efficacy are important to them because of being fair and honest in their academics. Determinants of ethics include knowledge, values, attitude and intention. The domain-specific framework developed by Verbeke et al. (2004) has been considered as fundamental for identifying the dimensionality of work Self-efficacy and ethical challenges of academicians. A comprehensive literature review is undertaken regarding the concept of work Self-efficacy to assess workers' confidence and their ethical living in the workplace. This article examines theoretically and analytically the antecedent processes and information cues involved in the formation of work self-efficacy. Theoretical and numerical analysis of the key determinants of work self-efficacy increases the understanding of moral values, truthful fair and honest. Factors which decisively affect ethical living were identified from literature collected from the academicians who are working in the Five Regions of Asia-Central Asia (Tajikistan, Uzbekistan, Kazakhstan, Turkmenistan, Kyrgyzstan) East Asia (China, Mongolia, North Korea, South Korea, Japan, Hong Kong, Taiwan, Macau) South Asia (Sri Lanka, Bangladesh, India, Afghanistan, Pakistan, Bhutan, Nepal, the Maldives) through Google classroom. Methods of Statistical Analysis of self-efficacy data are descriptive statistics, Pearson Correlation Coefficient and Kolmogorov-Smirvnos normality test and KruskalWallis one-way analysis of variance and Principal Component Analysis. Positive, mastery experiences give academicians a sense of accomplishment when they have faced a challenge ethically. Positive Zeal during Academic interaction, vicarious experiences that occur when academician see others succeed and feel an increased sense of their own ability to succeed. Sincere & deeper self, mingling with students, Social persuasion increase a teachers sense of confidence and ability to succeed. A proper plan of action has drawn special attention, and inferences pertaining to future research are discussed at the end of the critique. 2019, Sciedu Press. All rights reserved. -
Valorization of pineapple peels through single cell protein production using saccharomyces cerevisiae NCDC 364
Background and objective: Pineapple peels contain significant quantities of carbohydrates, which can be used as cheap raw materials for production of commercially important products through fermentation. The aim of this study was to use this feed stock for the cultivation of Saccharomyces cerevisiae NCDC 364 and its use as single cell protein. Material and methods: The single cell protein was produced using discarded pineapple peels and Saccharomyces cerevisiae NCDC 364. Optimization of bioprocess variables (temperature, pH, incubation period, carbon source and nitrogen source) affecting single cell protein production was carried out using classical "one factor at a time" approach. The harvested cells from optimized media were screened for amino acid content using high-performance thin-layer chromatography. Results and conclusion: The Saccharomyces cerevisiae NCDC 364 produced maximum single cell protein in pineapple peel based media, compared to non-optimized media. The "one factor at a time" approach showed that the maximum biomass production was achieved at optimized levels of temperature of 25C, pH of 5, incubation period of 120 h, carbon source of 1% sucrose and nitrogen source of 0.5% beef extract. The amino acid profiling of the harvested biomass using high-performance thin-layer chromatography analysis revealed that tryptophan included a comparatively higher concentration of 6.52%, followed by threonine (3.25%). Results of this study suggest that easily available raw materials such as fruit peels offer cost-effective substrates for production of commercially important microbial proteins for alarming global issues linked to protein malnutrition. Conflict of interest: The authors declare no conflict of interest. 2019 National Nutrition and Food Technology Research Institute. -
Simulation modeling for heart attack patient by mapping cholesterol level
Cholesterol is a complex structural material made up of four-fused hydrocarbon rings. There is a hydrocarbon tail linked at one end of the structure, while the hydroxyl group linked to each other on the other end. To one end of the structure, a hydrocarbon tail linked and to the other end, a hydroxyl group linked to each other. High cholesterol level is one among the major risk factors of a heart attack. It is feasible to compute and control the cholesterol level of a cardiovascular patient by making use of intended Mathematical modeling in System Dynamics (S.D.). Moreover, by simulating proposed set of equations for a heart attack patient, recovery accomplished at a faster pace. Because of S.D., a substantial amount of reduction in the patient's Cardiovascular Disease achieved by control over the sterol level of the heart patient. This simulation modeling is an attempt made in translational research domain and is useful in the healthcare industry health care industry. It will minimize the risk of heart stroke and maintain a healthy life. Copyright 2020 Institute of Advanced Engineering and Science. All rights reserved. -
Characterization of nanocarbon based electrode material derived from anthracite coal
Nanocarbon derivatives (NCD's) have wide range of scope in the field of sensors, supercapacitors and charge storage application. In the present study, anthracite is used as a precursor to synthesis nano-carbon derivatives. One of the important aspects of this study is to intercalate the synthesized NCD's with Li-ion to enhance its electrochemical and optical properties. The prepared NCD with Li-ion interface is used as an electrode material to study charge-discharge capacity and cyclic stability. The NCD shows a specific capacitance 65.4 mF g-1 and retention of capacitance after 200 cycles. However, adding small amount of supportive electrode material with NCD's enhances the capacitance after 160 cycles. The drastic increase in electronic conductivity of NCD's by adding supportive Li-ion permits the electrochemical activity of electrode material to be effectively utilized for practical applications. 2020 IOP Publishing Ltd. -
Ant colony based mechanism for increasing life time of critical nodes
MANET nodes act as a host as well as a router which increases the significance of every node for their participation in communication. Loss of any node in the network results in failure of links connected to the node which brings the importance of increased lifespan of a node. Some nodes during frequent transaction at critical network scenario consume more energy and become ill with critical energy level. Special attention towards these nodes can improve the lifespan of the node. In this paper an ant colony-based pheromone deposition mechanism was proposed to extend the lifetime of ill nodes. Pheromone deposited for the neighbor in the pheromone table helps in identifying frequently communicated neighbor. The proposed algorithm identifies the ill node and requests its frequently communicated neighbor for a tie up. The neighbor shares the workload of the ill node with mutual agreement. This method also improves the performance of a network by limiting pheromone deposition practice for low weighted nodes with low energy and high density (packet in queue). The proposed method increases lifespan of ill nodes and thereby increases the lifetime of entire network. The proposed work was also compared with existing protocol and the results have proved that the proposed mechanism has increased lifetime and reduced energy consumption of the entire network. 2019 School of Science, IHU. All rights reserved. -
Brand activism and millennials: An empirical investigation into the perception of millennials towards brand activism
The reckless pursuit of social, environmental, political and cultural issues and brands may alienate the very customer base, whom they try to impress, especially the millennials. Hence, this study intends to study the perceptions of millennials towards brand activism, so that the findings from the study can help the brand managers to steer their brands into the troubled waters of brand activism. The methodology followed is HTAB (Hypothesize, Test, Action, Business), a popular analysis framework given by Ken Black in his book titled "Business Statistics: Contemporary Decision Making (6th ed.)" A sample comprising of 286 respondents was collected. The final data had 286 observations and 45 features across seven categories. It was found that millennials prefer to buy a brand if it supports a cause or purpose and they stop buying if brand behaves unethically. It was also observed that there is no gender difference amongst the millennials towards their perceptions concerning brand activism. Moreover, millennials across different income categories have similar perceptions of brand activism. It was also substantiated that the emotional tie of the millennials with the brand existing for a cause goes beyond price shifts and brands taking a political stance, cherry-picking of issues and being disruptive prompts and creates profound backlash for the brands. Shivakanth Shetty, Nagendra Belavadi Venkataramaiah, Kerena Anand, 2019. -
Database aware memory reconstruction for object oriented programming paradigm
Data storage is a big challenge in front of industries and researchers when its growing enormously. Traditional data storage strategy was fulfilling the business needs till the data was in structured format. But now due to Internet of Things (IoT) compatible devices unstructured data is more than structured one. In such cases traditional data storage strategy won't work efficiently. Initially data storage devices used to store the data irrespective of its logical storage. It means the record was stored either in array format or block format. Such type of storage was not matching physical and logical structure. Logically, structured data is generated as an attribute of particular entity, but physically it gets stored in a sequential memory storage either as file or as memory block. Object Based Storage pattern(OBS) stores the data in the way object gets generated by the programmer and accordingly memory is allocated for that object. Object contains all the data related to that particular entity which makes it easy to retrieve it back. Current study includes comparative advantages, operations and study of different service providers of object-based storage. We also focused on the current need of object-based storage structure for big data analysis and cloud computing. International Journal of Scientific and Technology Research. All rights reserved. -
E-leadership, psychological contract and real-time performance management: Remotely working professionals
Using the model of E- Leadership in Virtual teams (Avolio et al.), this paper examines impact of Psychological Contract, mediated by E-leadership, on Real-time Performance Management of Remotely working professionals. Following a quantitative research method, data was collected from 57 remotely working professional across the world. Significant positive relationships were found among Leadership Effectiveness of E-leaders, Relational Psychological Contract and Efficiency of RPM. The results confirm the interaction of the given variables in Avolio's Model of E-leadership, highlighting technological aspects of human interactions and ways to optimise them. The results underline several important managerial implications for effective leadership, fulfilling psychological contract and effective performance management, of a type of workforce that is only virtually available. 2019 SCMS Group of Educational Institutions. All rights reserved. -
Smart pollution monitoring system
The world has travelled a long way through the industrial revolution. One of the consequences that the industries and its different forms gave to humanity is pollution. The environment that we live is being polluted in different ways. Different parts of the world are already experiencing air pollution as a matter of concern. The increasing amount of industries and the emission of gas by the vehicles cause much damage to the air. We are in a situation where we need to monitor the amount of pollution in our areas of living and working. In order to monitor pollution, the paper proposes an efficient and low-cost method with the help of the internet of things (IoT). The system is designed to monitor the levels of CO, CO2, smoke, alcohol, NH3, temperature and humidity. The various alarms and notification are arranged in such a way that the information is given when there is any sign of threat. The remote monitoring is made possible with dedicated website and mobile app. BEIESP. -
Quality assurance in big data analytics: An IoT perspective
Emergence of IoT as one of the key data contributors in a big data application has presented new data quality challenges and has necessitated for an IoT inclusive data validation ecosystem. Standardized data quality approaches and frameworks are available for data obtained for a variety of sources like data warehouses, webblogs, social media, etc. in a big data application. Since IoT data differs significantly from other data, challenges in ensuring the quality of this data are also different and thus a specially designed IoT data testing layer paves its way in. In this paper, we present a detailed review of existing data quality assurance practices used in big data applications. We highlight the requirement for IoT data quality assurance in the existing framework and propose an additional data testing layer for IoT. The data quality aspects and possible implementation models for quality assurance contained in the proposed layer can be used to construct a concrete set of guidelines for IoT data quality assurance. 2019 Telecommunications Society and Academic Mind.