Pub Date : 2020-05-30DOI: 10.35940/ijrte.a1703.059120
The medication utilization alludes to unforeseen alleviation of sicknesses or side effects when patients take a medication for another known sign. Throughout the entire existence of medication revelation, this has contributed altogether to new and fruitful signs for some medications. Our past research has distinguished patient announced fortunate medication use in internet-based life. On the off chance that such data could be computationally distinguished in internet-based life, it could be useful for producing and approving medication repositioning speculations. The proposed framework outlines recognition of fortunate medication use in online life as a parallel grouping issue and examined profound neural system models as an answer. The proposed framework discovers patients revealed fortunate new signs for the medications they were utilizing for comorbid conditions, which is really significant data for tranquilize repositioning. The proposed framework examines drug results, and solid common language handling and content mining strategies are expected to naturally mine internet-based life information for a huge scope. The proposed framework adds setting data assisted with decreasing the bogus positive pace of profound neural system models. Within the sight of an amazingly imbalanced dataset and constrained cases of fortunate medication utilization, profound neural system models didn't outflank other AI models with n-gram and setting highlights. Be that as it may, profound neural system models could all the more successfully use word inserting in include development
{"title":"Application of Machine Learning in Digital Marketing","authors":"","doi":"10.35940/ijrte.a1703.059120","DOIUrl":"https://doi.org/10.35940/ijrte.a1703.059120","url":null,"abstract":"The medication utilization alludes to unforeseen alleviation of sicknesses or side effects when patients take a medication for another known sign. Throughout the entire existence of medication revelation, this has contributed altogether to new and fruitful signs for some medications. Our past research has distinguished patient announced fortunate medication use in internet-based life. On the off chance that such data could be computationally distinguished in internet-based life, it could be useful for producing and approving medication repositioning speculations. The proposed framework outlines recognition of fortunate medication use in online life as a parallel grouping issue and examined profound neural system models as an answer. The proposed framework discovers patients revealed fortunate new signs for the medications they were utilizing for comorbid conditions, which is really significant data for tranquilize repositioning. The proposed framework examines drug results, and solid common language handling and content mining strategies are expected to naturally mine internet-based life information for a huge scope. The proposed framework adds setting data assisted with decreasing the bogus positive pace of profound neural system models. Within the sight of an amazingly imbalanced dataset and constrained cases of fortunate medication utilization, profound neural system models didn't outflank other AI models with n-gram and setting highlights. Be that as it may, profound neural system models could all the more successfully use word inserting in include development","PeriodicalId":220909,"journal":{"name":"International Journal of Recent Technology and Engineering","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122523023","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-05-30DOI: 10.35940/ijrte.a1279.059120
Concerns for service computer networks’ security and reliability are growing rapidly due to increasing service devices with connections to external networks. This aggravates vulnerability of service networks to cyber attacks through external connections. Though encryption can provide security for user data transmissions, encryption itself could not provide protections against traffic analysis attacks. Techniques against traffic-analysis attacks through statistically controlling the transmission rate of padded and encrypted frames are unsuited for power system applications. This paper proposes three security operation modes for the newly developed security layer, located below DNP3 data-link layer, to strengthen encryption and authentication operations against the effectiveness of trafficanalysis and cryptanalysis attacks. The security models use padding to disguise the amount of user data transmitted and disguise the user data link layer frame amongst a group of manufactured frames similar to statistically controlling data transmission rate. The proposed security operations have been successfully applied to enhance power system security controls.
{"title":"Improvement of Network Cyber Security Services using Security Operation Models","authors":"","doi":"10.35940/ijrte.a1279.059120","DOIUrl":"https://doi.org/10.35940/ijrte.a1279.059120","url":null,"abstract":"Concerns for service computer networks’ security and reliability are growing rapidly due to increasing service devices with connections to external networks. This aggravates vulnerability of service networks to cyber attacks through external connections. Though encryption can provide security for user data transmissions, encryption itself could not provide protections against traffic analysis attacks. Techniques against traffic-analysis attacks through statistically controlling the transmission rate of padded and encrypted frames are unsuited for power system applications. This paper proposes three security operation modes for the newly developed security layer, located below DNP3 data-link layer, to strengthen encryption and authentication operations against the effectiveness of trafficanalysis and cryptanalysis attacks. The security models use padding to disguise the amount of user data transmitted and disguise the user data link layer frame amongst a group of manufactured frames similar to statistically controlling data transmission rate. The proposed security operations have been successfully applied to enhance power system security controls.","PeriodicalId":220909,"journal":{"name":"International Journal of Recent Technology and Engineering","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114394290","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-05-30DOI: 10.35940/ijrte.a2421.059120
The diagnosed density of corrosion was diagnosed on the outer surface of the underground metal pipeline, depending on the distance L to the compressor station, taking into account the influence of soil, defects, thermal impulses, mechanical vibrational vibrations and corrosion fatigue. The basic relations of the mathematical model for the description of thermal processes and mechanical vibrational vibrations that lead to low-cycle corrosion fatigue in the pipe are proposed. It is noted that the measurement of corrosion currents and polarization potentials at the boundary of the metal pipeline–soil can be detected by devices of types BVS (noncontact current meter), VPP-M (polarization potential meter) and equipment for for diagnostic inspections and monitoring of corrosion protection of underground pipelines (UGPL). Consider for compare the distribution of corrosion current densities and accidents for the pipeline at a distance of L=0..30 km from the compressor station. It is found that the correlation coefficient between them KLD=0,76 is not enough to establish causation. A difference is formed in which the corresponding corrosion current density distribution for a non-oscillating temperature background is subtracted from the total corrosion current density distribution in the range L=0…30 km. In this case, the part of the distribution that is related to the frequency of thermal pulses is highlighted.The correlation coefficient of KWD0.92 is established between the part of the distribution that is related to the frequency of thermal pulses and the distribution of accidents for the pipeline at a distance of L=0…30 km from the compressor station. Based on KWD, it can be argued that the causal relationship between the distribution of heat pulses and accidents is quite plausible. The noted information is important for improving the methods of operation of compressor stations of oil and gas enterprises, taking into account changes in the frequency of heat pulses with regard to improving the quality of by-laws on labor protection regarding gas supply systems
{"title":"Diagnostics of Temperature Regime of Technological Environments of Underground Pipelines in the Monitoring System of Oil and Gas Enterprises for Providing of Safe Exploitation","authors":"","doi":"10.35940/ijrte.a2421.059120","DOIUrl":"https://doi.org/10.35940/ijrte.a2421.059120","url":null,"abstract":"The diagnosed density of corrosion was diagnosed on the outer surface of the underground metal pipeline, depending on the distance L to the compressor station, taking into account the influence of soil, defects, thermal impulses, mechanical vibrational vibrations and corrosion fatigue. The basic relations of the mathematical model for the description of thermal processes and mechanical vibrational vibrations that lead to low-cycle corrosion fatigue in the pipe are proposed. It is noted that the measurement of corrosion currents and polarization potentials at the boundary of the metal pipeline–soil can be detected by devices of types BVS (noncontact current meter), VPP-M (polarization potential meter) and equipment for for diagnostic inspections and monitoring of corrosion protection of underground pipelines (UGPL). Consider for compare the distribution of corrosion current densities and accidents for the pipeline at a distance of L=0..30 km from the compressor station. It is found that the correlation coefficient between them KLD=0,76 is not enough to establish causation. A difference is formed in which the corresponding corrosion current density distribution for a non-oscillating temperature background is subtracted from the total corrosion current density distribution in the range L=0…30 km. In this case, the part of the distribution that is related to the frequency of thermal pulses is highlighted.The correlation coefficient of KWD0.92 is established between the part of the distribution that is related to the frequency of thermal pulses and the distribution of accidents for the pipeline at a distance of L=0…30 km from the compressor station. Based on KWD, it can be argued that the causal relationship between the distribution of heat pulses and accidents is quite plausible. The noted information is important for improving the methods of operation of compressor stations of oil and gas enterprises, taking into account changes in the frequency of heat pulses with regard to improving the quality of by-laws on labor protection regarding gas supply systems","PeriodicalId":220909,"journal":{"name":"International Journal of Recent Technology and Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128207106","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-05-30DOI: 10.35940/ijrte.a1985.059120
B. Sahoo, H. B. Sahu
Coal is a major source of nonrenewable energy in India. Most of the Industries depend on the coal to meet the energy demand of the country. Coal mining is invariably associated with the generation of voids. The voids so generated are often filled with overburden (OB) and waste materials. To enhance the utilization, fly ash (FA) is also being used for filling the voids. However, these operations inevitably require excessive planning and control to minimize the environmental impact of mining. In order to evaluate the impact of backfilling the voids with coal mine wastes and fly ash, Overburden and fly ash materials have been collected from Talcher coalfield. The geotechnical characterization study of overburden (OB) sample and OB+30% fly ash samples have been carried out separately for backfilling. After addition of fly ash, it is observed that the permeability is increased but liquid limit, plastic limit, and plasticity index (PI) of the OB are decreased. The maximum dry unit weight of OB mixture decreases while optimum water content increases with the fly ash. The angle of internal friction of OB decreases after addition of the fly ash. Cohesion value of OB sample has not changed much after addition of the fly ash. The grain size analyses results show OB sample is poorly graded. The OB soil type is found to be poorly graded sand of low compressible clay (SP-CL). Similarly, the OB+30% fly ash soil type is of poorly graded sand of low compressible silty (SP-ML) type. The OB and OB+ 30% fly ash contain heavy metals such as Fe and Al in high quantity, mild concentrations of Zn, Cr, and Mn and low amounts of Cu, Co, As, and Se. B and Pb are found below the detection level. The decreasing order of heavy metals in the leachate samples observed to be Fe>Mn>Ni>Cu>Zn>Se>Co>Cd>Cr>As. The major mineral phases in OB and OB+30% fly ash samples are found to be quartz, kaolinite, muscovite, dickite, zinnwaldite, and illite.
{"title":"Assessment and Characterization of Mine Waste and Fly Ash Material for Effective Utilization in Opencast Coal Mines","authors":"B. Sahoo, H. B. Sahu","doi":"10.35940/ijrte.a1985.059120","DOIUrl":"https://doi.org/10.35940/ijrte.a1985.059120","url":null,"abstract":"Coal is a major source of nonrenewable energy in India. Most of the Industries depend on the coal to meet the energy demand of the country. Coal mining is invariably associated with the generation of voids. The voids so generated are often filled with overburden (OB) and waste materials. To enhance the utilization, fly ash (FA) is also being used for filling the voids. However, these operations inevitably require excessive planning and control to minimize the environmental impact of mining. In order to evaluate the impact of backfilling the voids with coal mine wastes and fly ash, Overburden and fly ash materials have been collected from Talcher coalfield. The geotechnical characterization study of overburden (OB) sample and OB+30% fly ash samples have been carried out separately for backfilling. After addition of fly ash, it is observed that the permeability is increased but liquid limit, plastic limit, and plasticity index (PI) of the OB are decreased. The maximum dry unit weight of OB mixture decreases while optimum water content increases with the fly ash. The angle of internal friction of OB decreases after addition of the fly ash. Cohesion value of OB sample has not changed much after addition of the fly ash. The grain size analyses results show OB sample is poorly graded. The OB soil type is found to be poorly graded sand of low compressible clay (SP-CL). Similarly, the OB+30% fly ash soil type is of poorly graded sand of low compressible silty (SP-ML) type. The OB and OB+ 30% fly ash contain heavy metals such as Fe and Al in high quantity, mild concentrations of Zn, Cr, and Mn and low amounts of Cu, Co, As, and Se. B and Pb are found below the detection level. The decreasing order of heavy metals in the leachate samples observed to be Fe>Mn>Ni>Cu>Zn>Se>Co>Cd>Cr>As. The major mineral phases in OB and OB+30% fly ash samples are found to be quartz, kaolinite, muscovite, dickite, zinnwaldite, and illite.","PeriodicalId":220909,"journal":{"name":"International Journal of Recent Technology and Engineering","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128304842","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-05-30DOI: 10.35940/ijrte.a2667.059120
Big Data Technologies for managing huge amounts of student data which is rising exponentially year after year specially in the countries like India, where there is a large no of young population is a need not luxury. Many students are searching for courses of their choice and for funding their education interests they look for scholarships. There are many scholarship schemes available for students of different status in the society. Educational institutions look for solutions to handle large amount of student data ranging from enrollments, scholarships, academic content, literature search, testing, results and finally placements. Such data require a lot of integrity and scalability. Memory saving schema for hardware and software platforms for the needy Universities and Colleges along with lot of mobility for their executives to access and analyze such data remain in focus. In this paper a new data base model has been suggested using modern day Big Data technologies rather than using conventional database technologies to handle complex data generated through student activity which can be analyzed to reach decisions. New model suggested after testing real time data sets of scholarships management of technical education system. Lot of memory and cost has been saved along with achieving data integrity, security and improvement in response time.
{"title":"Big Data Model for Financial Assistance to Students- A Paradigm Shift","authors":"","doi":"10.35940/ijrte.a2667.059120","DOIUrl":"https://doi.org/10.35940/ijrte.a2667.059120","url":null,"abstract":"Big Data Technologies for managing huge amounts of student data which is rising exponentially year after year specially in the countries like India, where there is a large no of young population is a need not luxury. Many students are searching for courses of their choice and for funding their education interests they look for scholarships. There are many scholarship schemes available for students of different status in the society. Educational institutions look for solutions to handle large amount of student data ranging from enrollments, scholarships, academic content, literature search, testing, results and finally placements. Such data require a lot of integrity and scalability. Memory saving schema for hardware and software platforms for the needy Universities and Colleges along with lot of mobility for their executives to access and analyze such data remain in focus. In this paper a new data base model has been suggested using modern day Big Data technologies rather than using conventional database technologies to handle complex data generated through student activity which can be analyzed to reach decisions. New model suggested after testing real time data sets of scholarships management of technical education system. Lot of memory and cost has been saved along with achieving data integrity, security and improvement in response time.","PeriodicalId":220909,"journal":{"name":"International Journal of Recent Technology and Engineering","volume":"2014 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128729370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-05-30DOI: 10.35940/ijrte.f7639.059120
Animated faces show up in cartoons, comics and games. They are broadly utilized as profile pictures in online life stages, for example, Facebook and Instagram. Drawing an animated face is work intense. Not just it requires proficient skills but also its time consuming. A lot of time is wasted in creating a cartoon character from scratch , and most of the cases ends up in creating an awkward character having very low polygon intensity. Generative adversarial network (GAN) framework can be trained with a collection of cartoon images. GANs comprises of a generator network and a discriminator network. Because of the ability of deep networks and the competitive training algorithm, GANs produce realistic images, and have great potential in the field of image processing. This method turns out to be a surprisingly handy tool in enhancing blurry images. The underlying idea behind GAN is that it contains two neural networks that compete with each other in a zero-sum game, which constitutes of generator and a discriminator.
{"title":"Cartoon Character Generation using Generative Adversarial Network","authors":"","doi":"10.35940/ijrte.f7639.059120","DOIUrl":"https://doi.org/10.35940/ijrte.f7639.059120","url":null,"abstract":"Animated faces show up in cartoons, comics and games. They are broadly utilized as profile pictures in online life stages, for example, Facebook and Instagram. Drawing an animated face is work intense. Not just it requires proficient skills but also its time consuming. A lot of time is wasted in creating a cartoon character from scratch , and most of the cases ends up in creating an awkward character having very low polygon intensity. Generative adversarial network (GAN) framework can be trained with a collection of cartoon images. GANs comprises of a generator network and a discriminator network. Because of the ability of deep networks and the competitive training algorithm, GANs produce realistic images, and have great potential in the field of image processing. This method turns out to be a surprisingly handy tool in enhancing blurry images. The underlying idea behind GAN is that it contains two neural networks that compete with each other in a zero-sum game, which constitutes of generator and a discriminator.","PeriodicalId":220909,"journal":{"name":"International Journal of Recent Technology and Engineering","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128982166","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-05-30DOI: 10.35940/ijrte.a2530.059120
Text to Speech System is a Speech Synthesis application that converts a text to speech. The current project focuses on developing a TTS System for the Tamil Language with the Synthesis Technique as Unit Selection Synthesis. Letter Level Segmentation of an input text helps in the reduction of corpus size compared to Syllable Level Segmentation. The segmented units are retrieved with respect to Unicode values, concatenated and the synthesized speech is produced. Intelligibility and Naturalness of the spoken word can be improved using the Smoothing Techniques. Optimal Coupling Smoothing Technique is implemented for the smooth transition in between the concatenated speech segments to create continuous Speech output like human voice. Fraction based Waveform Concatenation method is used to produce the intelligible speech segments as output from the pre-recorded speech database.
{"title":"Text to Speech Synthesis using Fraction Based Waveform Concatenation and Optimal Coupling Smoothing Technique","authors":"","doi":"10.35940/ijrte.a2530.059120","DOIUrl":"https://doi.org/10.35940/ijrte.a2530.059120","url":null,"abstract":"Text to Speech System is a Speech Synthesis application that converts a text to speech. The current project focuses on developing a TTS System for the Tamil Language with the Synthesis Technique as Unit Selection Synthesis. Letter Level Segmentation of an input text helps in the reduction of corpus size compared to Syllable Level Segmentation. The segmented units are retrieved with respect to Unicode values, concatenated and the synthesized speech is produced. Intelligibility and Naturalness of the spoken word can be improved using the Smoothing Techniques. Optimal Coupling Smoothing Technique is implemented for the smooth transition in between the concatenated speech segments to create continuous Speech output like human voice. Fraction based Waveform Concatenation method is used to produce the intelligible speech segments as output from the pre-recorded speech database.","PeriodicalId":220909,"journal":{"name":"International Journal of Recent Technology and Engineering","volume":"177 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124743960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-05-30DOI: 10.35940/ijrte.f8017.059120
In this paper, the field analysis of the sleeve-rotor induction motor taking the rings effect into consideration is carried out using the Maxwell’s field equations. A model in cylindrical coordinates is used to establish the rotor-rings and to solve the air gap magnetic field. The flux density is assumed to be constant through the very small air gap length while the skin effect through the axial rotor length is considered. The axial distribution of the air gap flux density, the sleeve current density components and the force density are obtained. The motor performance is carried out taking into account the effects of the sleeve rings performance characteristics. The effects of design data on the starting torque and the overload capacity of the motor are also considered.
{"title":"Field Analysis, Distribution and Performance of Sleeve Rotor Induction Motor Taking the Sleeve Rings into Consideration","authors":"","doi":"10.35940/ijrte.f8017.059120","DOIUrl":"https://doi.org/10.35940/ijrte.f8017.059120","url":null,"abstract":"In this paper, the field analysis of the sleeve-rotor induction motor taking the rings effect into consideration is carried out using the Maxwell’s field equations. A model in cylindrical coordinates is used to establish the rotor-rings and to solve the air gap magnetic field. The flux density is assumed to be constant through the very small air gap length while the skin effect through the axial rotor length is considered. The axial distribution of the air gap flux density, the sleeve current density components and the force density are obtained. The motor performance is carried out taking into account the effects of the sleeve rings performance characteristics. The effects of design data on the starting torque and the overload capacity of the motor are also considered.","PeriodicalId":220909,"journal":{"name":"International Journal of Recent Technology and Engineering","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130494258","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-05-30DOI: 10.35940/ijrte.a3139.059120
G. Suresh
This paper deals with the detailed study of functioning of super markets and kirana stores in Indian context. A basic comparative study is done to analyze the scope of lean management in the same. A survey is conducted in supermarkets and kirana stores. Kirana stores often operates for a small circle wherein the customer churn rate is lesser as compared to the supermarkets. This paper deals with the analysis of various aspects of a kirana store and supermarkets which would fuel up the comparison in the context of lean. The study has focused on certain parameters which are key attributes of lean management in service sector. Which includes product replacement, shelving, waiting time at counters, product arrangement (FIFO). The concept of JIT would also help the main focus of all kirana stores and supermarkets, which is “cost minimization and profit maximization”. Wilcoxon rank test is conducted to analytically study the difference in the scope of lean application in kirana stores and supermarkets. The study deciphered the opportunity of lean in supermarkets than in kirana stores as per the limitation in the operation. The mode of operation in kirana stores has slight variations with respect to management. And hence it is difficult to commonly suggest ways to improve functions, but still sees a scope in future. The results were favorable to supermarkets, wherein lean application sounds more result oriented and suits the functioning of huge retail chain.
{"title":"Scope of Lean Management in Kirana stores and Supermarkets","authors":"G. Suresh","doi":"10.35940/ijrte.a3139.059120","DOIUrl":"https://doi.org/10.35940/ijrte.a3139.059120","url":null,"abstract":"This paper deals with the detailed study of functioning of super markets and kirana stores in Indian context. A basic comparative study is done to analyze the scope of lean management in the same. A survey is conducted in supermarkets and kirana stores. Kirana stores often operates for a small circle wherein the customer churn rate is lesser as compared to the supermarkets. This paper deals with the analysis of various aspects of a kirana store and supermarkets which would fuel up the comparison in the context of lean. The study has focused on certain parameters which are key attributes of lean management in service sector. Which includes product replacement, shelving, waiting time at counters, product arrangement (FIFO). The concept of JIT would also help the main focus of all kirana stores and supermarkets, which is “cost minimization and profit maximization”. Wilcoxon rank test is conducted to analytically study the difference in the scope of lean application in kirana stores and supermarkets. The study deciphered the opportunity of lean in supermarkets than in kirana stores as per the limitation in the operation. The mode of operation in kirana stores has slight variations with respect to management. And hence it is difficult to commonly suggest ways to improve functions, but still sees a scope in future. The results were favorable to supermarkets, wherein lean application sounds more result oriented and suits the functioning of huge retail chain.","PeriodicalId":220909,"journal":{"name":"International Journal of Recent Technology and Engineering","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123961108","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-05-30DOI: 10.35940/ijrte.a1524.059120
Dysarthria is a motor speech disorder and the most common neurodegenerative disease characterized by low volume in precise articulation, poor coordination of respiratory and phonatory subsystems, irregular pauses and so on. The challenging factor in improving the communication with dysarthria is speech intelligibility. The intelligilibility of speech can be determined by measuring the acoustic characteristics and phonetic structures of speech. In our analysis, we have concentrated on bisyllabic words in the Kannada language. The analysis is carried out with respect to basic acoustic parameters and spectrogram to extract fundamental frequency, formant frequency, jitter, shimmer, HNR and Standard Deviation using PRAAT tool. These results are helpful to identify and differentiate the complex natural frequency of the vocal tract functions with respect to normal subjects and dysarthria subjects. This study provides inputs to increase efficacy in the clinical assessments for monitoring and diagnosing the speech disorders for improving communication among human beings.
{"title":"A Phonetic Level Analysis of Dysarthria in Kannada Language","authors":"","doi":"10.35940/ijrte.a1524.059120","DOIUrl":"https://doi.org/10.35940/ijrte.a1524.059120","url":null,"abstract":"Dysarthria is a motor speech disorder and the most common neurodegenerative disease characterized by low volume in precise articulation, poor coordination of respiratory and phonatory subsystems, irregular pauses and so on. The challenging factor in improving the communication with dysarthria is speech intelligibility. The intelligilibility of speech can be determined by measuring the acoustic characteristics and phonetic structures of speech. In our analysis, we have concentrated on bisyllabic words in the Kannada language. The analysis is carried out with respect to basic acoustic parameters and spectrogram to extract fundamental frequency, formant frequency, jitter, shimmer, HNR and Standard Deviation using PRAAT tool. These results are helpful to identify and differentiate the complex natural frequency of the vocal tract functions with respect to normal subjects and dysarthria subjects. This study provides inputs to increase efficacy in the clinical assessments for monitoring and diagnosing the speech disorders for improving communication among human beings.","PeriodicalId":220909,"journal":{"name":"International Journal of Recent Technology and Engineering","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123527397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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