The present study measures the impact of organizational ambidexterity on organization virtuousness in the context of the car manufacturing industries in India. 363 employers' representatives were selected from automotive manufacturing car units across India to gain an understanding of their perspectives on handling organizational ambidexterity and virtuousness for new diploma/degree/postgraduate employees. The purposive sampling technique was used. Data were collected using the survey questionnaire method. The collected data were analyzed using structural equation modeling. Organizational ambidexterity has a significant effect on organizational virtuousness, according to the study's results. Exploration orientation and exploitation orientation are two sub-constructs of organizational ambidexterity. Exploratory orientation has shown a dominant significant impact on organizational virtuousness than the exploitation orientation.
{"title":"The Relationship of Organizational Ambidexterity and Organizational Virtuousness in the Automobile Industry of India","authors":"P. Chand, Natwar Kadel, A. Mittal, A. Mantri","doi":"10.4018/ijskd.301262","DOIUrl":"https://doi.org/10.4018/ijskd.301262","url":null,"abstract":"The present study measures the impact of organizational ambidexterity on organization virtuousness in the context of the car manufacturing industries in India. 363 employers' representatives were selected from automotive manufacturing car units across India to gain an understanding of their perspectives on handling organizational ambidexterity and virtuousness for new diploma/degree/postgraduate employees. The purposive sampling technique was used. Data were collected using the survey questionnaire method. The collected data were analyzed using structural equation modeling. Organizational ambidexterity has a significant effect on organizational virtuousness, according to the study's results. Exploration orientation and exploitation orientation are two sub-constructs of organizational ambidexterity. Exploratory orientation has shown a dominant significant impact on organizational virtuousness than the exploitation orientation.","PeriodicalId":13656,"journal":{"name":"Int. J. Sociotechnology Knowl. Dev.","volume":"216 ","pages":"1-20"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91451436","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}
Despite increasing technological dynamism and plausibility in many environments, poor services continue to be rendered because the IT solutions that are selected, deployed and used by the Nigerian banks are challenged by both technical and non-technical factors. The challenges could be attributed to lack of evaluation, causing ineffectiveness, inefficiency, and inconsistency in the processes, interactions and activities where IT solutions are applied. Thus, the study’s objectives is to identify, examine and gain an understanding of the factors that influence the selection, deployment and evaluation of the IT solutions that are used by the Nigerian banks. The interpretivist approach and qualitive method were followed. Following the interpretivist paradigm, the analysis was conducted using the hermeneutics approach. Based on the findings and interpretation, a model was developed, intended for actors that have stake in IT solutions in the two banks, to gain better understanding of the factors that can influence evaluation.
{"title":"A Model for Selecting Information Technology Solutions in Banking Institutions: A Case of a Developing Country","authors":"Rotimi Adediran Ibitomi, T. Iyamu","doi":"10.4018/ijskd.289037","DOIUrl":"https://doi.org/10.4018/ijskd.289037","url":null,"abstract":"Despite increasing technological dynamism and plausibility in many environments, poor services continue to be rendered because the IT solutions that are selected, deployed and used by the Nigerian banks are challenged by both technical and non-technical factors. The challenges could be attributed to lack of evaluation, causing ineffectiveness, inefficiency, and inconsistency in the processes, interactions and activities where IT solutions are applied. Thus, the study’s objectives is to identify, examine and gain an understanding of the factors that influence the selection, deployment and evaluation of the IT solutions that are used by the Nigerian banks. The interpretivist approach and qualitive method were followed. Following the interpretivist paradigm, the analysis was conducted using the hermeneutics approach. Based on the findings and interpretation, a model was developed, intended for actors that have stake in IT solutions in the two banks, to gain better understanding of the factors that can influence evaluation.","PeriodicalId":13656,"journal":{"name":"Int. J. Sociotechnology Knowl. Dev.","volume":"7 1","pages":"1-18"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81518127","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}
The paper aims to examine the publications on turnaround strategies and identify scientific gaps. Hence, bibliographic couplings of countries, institutions, journals, publications, authors, and co-occurrences of the author keywords were analyzed. Bibliographic methods were employed to examine and visualize the characteristics of the publications with the aid of VOSViewer software. Using 174 articles from the Scopus database, the results revealed that corporate distress, turnaround, organizational decline, turnaround strategies, corporate strategy, financial distress, retrenchment, turnaround strategy, and turnarounds were among the most studied key concepts in this area, The “Journal of Strategy and Management” and “European Management Journal” were the top journals. United States, United Kingdom, and India were the most influential countries. The Fort Hays University and McMurry University were top research institutions. Notably, Huang, Y., Reddy, K.S., and Xie, E. were the most influential authors in this research area. These results will help academicians and practitioners.
{"title":"Trends and Patterns in Turnaround Strategies: A Bibliometric Perspective and Future Research Agenda","authors":"Mufaro Dzingirai, N. Baporikar","doi":"10.4018/ijskd.289039","DOIUrl":"https://doi.org/10.4018/ijskd.289039","url":null,"abstract":"The paper aims to examine the publications on turnaround strategies and identify scientific gaps. Hence, bibliographic couplings of countries, institutions, journals, publications, authors, and co-occurrences of the author keywords were analyzed. Bibliographic methods were employed to examine and visualize the characteristics of the publications with the aid of VOSViewer software. Using 174 articles from the Scopus database, the results revealed that corporate distress, turnaround, organizational decline, turnaround strategies, corporate strategy, financial distress, retrenchment, turnaround strategy, and turnarounds were among the most studied key concepts in this area, The “Journal of Strategy and Management” and “European Management Journal” were the top journals. United States, United Kingdom, and India were the most influential countries. The Fort Hays University and McMurry University were top research institutions. Notably, Huang, Y., Reddy, K.S., and Xie, E. were the most influential authors in this research area. These results will help academicians and practitioners.","PeriodicalId":13656,"journal":{"name":"Int. J. Sociotechnology Knowl. Dev.","volume":"1 1","pages":"1-15"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72839352","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 : 2021-10-01DOI: 10.4018/ijskd.2021100109
Fauzan Asrin, S. Saide, Silvia Ratna
The objectives of this study is to analyze a large amount of data that often appears to create a knowledge base that can be utilized by firm to enhance their decision support system. The authors used the association rules with rapid miner software, data mining approach, and predictive analysis that contains various data exploration scenarios. The study provides important evidence for adopting data mining methods in the industrial sector and their advantages and disadvantages. Chevron Pacific Indonesia (CPI) has a type of computer maintenance activity. Currently, a numerous errors often occur due to the accuracy in computer maintenance which has a major impact on production results. Therefore, this study focuses on association rules using growth patterns that often appear on variables that have been determined into the algorithm (FP-growth) which results in knowledge with a 100% confidence value and a 97% support value. The value results of this study has support and trust are expected to become knowledge for top management in deciding evergreen IT-business routines.
{"title":"Data to Knowledge-Based Transformation: The Association Rules With Rapid Miner Approach and Predictive Analysis in Evergreen IT-Business Routines of PT Chevron Pacific Indonesia","authors":"Fauzan Asrin, S. Saide, Silvia Ratna","doi":"10.4018/ijskd.2021100109","DOIUrl":"https://doi.org/10.4018/ijskd.2021100109","url":null,"abstract":"The objectives of this study is to analyze a large amount of data that often appears to create a knowledge base that can be utilized by firm to enhance their decision support system. The authors used the association rules with rapid miner software, data mining approach, and predictive analysis that contains various data exploration scenarios. The study provides important evidence for adopting data mining methods in the industrial sector and their advantages and disadvantages. Chevron Pacific Indonesia (CPI) has a type of computer maintenance activity. Currently, a numerous errors often occur due to the accuracy in computer maintenance which has a major impact on production results. Therefore, this study focuses on association rules using growth patterns that often appear on variables that have been determined into the algorithm (FP-growth) which results in knowledge with a 100% confidence value and a 97% support value. The value results of this study has support and trust are expected to become knowledge for top management in deciding evergreen IT-business routines.","PeriodicalId":13656,"journal":{"name":"Int. J. Sociotechnology Knowl. Dev.","volume":"37 1","pages":"141-152"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90366277","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 : 2021-10-01DOI: 10.4018/IJSKD.2021100101
G. Iwasokun
The corona virus disease, otherwise known as COVID-19, is an extremely communicable and pathogenic viral infection caused by severe acute respiratory syndrome corona virus 2 (SARS-CoV-2), which emerged in Wuhan, China in December 2019 and has spread to almost all the countries in the world. The transmission of the virus is through touching of the nose, eyes, or mouth by a finger that has been contaminated through droplets on a surface when a carrier sneezes or coughs. Since the existing fingerprint devices are predominantly contact based, it implies that they can aid in the transmission of the virus. This paper discusses the application of fingerprint devices in notable places with high rate of COVID-19 infection as well as the threats to fingerprint technologies and the countermeasures. The need to change focus and orientation towards contactless biometric technologies as sure solution to the fear and animosity expressed towards contact-based fingerprint technology is also expatiated.
{"title":"Coronavirus and Fingerprint Technology","authors":"G. Iwasokun","doi":"10.4018/IJSKD.2021100101","DOIUrl":"https://doi.org/10.4018/IJSKD.2021100101","url":null,"abstract":"The corona virus disease, otherwise known as COVID-19, is an extremely communicable and pathogenic viral infection caused by severe acute respiratory syndrome corona virus 2 (SARS-CoV-2), which emerged in Wuhan, China in December 2019 and has spread to almost all the countries in the world. The transmission of the virus is through touching of the nose, eyes, or mouth by a finger that has been contaminated through droplets on a surface when a carrier sneezes or coughs. Since the existing fingerprint devices are predominantly contact based, it implies that they can aid in the transmission of the virus. This paper discusses the application of fingerprint devices in notable places with high rate of COVID-19 infection as well as the threats to fingerprint technologies and the countermeasures. The need to change focus and orientation towards contactless biometric technologies as sure solution to the fear and animosity expressed towards contact-based fingerprint technology is also expatiated.","PeriodicalId":13656,"journal":{"name":"Int. J. Sociotechnology Knowl. Dev.","volume":"5 1","pages":"1-16"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82480383","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 : 2021-10-01DOI: 10.4018/ijskd.2021100108
Amal Adel Abdrabo
There is a new trend taking place in Egypt over the last decades that is attempting to establish a new culture of development arguing for a knowledge-based development of Egyptian society. Consequently, Egyptian society has begun to witness the emergence of different policies, national strategies, and mega development projects that try to translate these policies into reality. But the question that remains is what type of knowledge, and in which context, should be developed? In this vein, this research serves two purposes. First, it contests the notion of knowledge while using a new method of inquiry that creates an opening for an alternative-more-humanized sociology that opposes the dominant sociological perspective that studies people as quantitative objects. The research uses institutional ethnography to provide new-actor-related insights and interpretations while exploring the social momentum within Egyptian society. Second, the research seeks to investigate the relationship between the desire to transform Egypt into a knowledge-based society through the knowledge precincts projects, following the global agenda, and the creation of a political, social, and cultural environment that allows knowledge to thrive, leading to more social justice and equity. In the end, the research asks: What is the definition of ‘knowledge' provided by the Egyptian government through its different developmental policies? How does it function inside the knowledge precincts projects? It also asks: Does Egypt's commitment to large scale programs through knowledge precincts reveal an authoritarian inclination?
{"title":"Institutional Ethnography and Exploring the Social: A Sociological Approach of Actors' Perspectives","authors":"Amal Adel Abdrabo","doi":"10.4018/ijskd.2021100108","DOIUrl":"https://doi.org/10.4018/ijskd.2021100108","url":null,"abstract":"There is a new trend taking place in Egypt over the last decades that is attempting to establish a new culture of development arguing for a knowledge-based development of Egyptian society. Consequently, Egyptian society has begun to witness the emergence of different policies, national strategies, and mega development projects that try to translate these policies into reality. But the question that remains is what type of knowledge, and in which context, should be developed? In this vein, this research serves two purposes. First, it contests the notion of knowledge while using a new method of inquiry that creates an opening for an alternative-more-humanized sociology that opposes the dominant sociological perspective that studies people as quantitative objects. The research uses institutional ethnography to provide new-actor-related insights and interpretations while exploring the social momentum within Egyptian society. Second, the research seeks to investigate the relationship between the desire to transform Egypt into a knowledge-based society through the knowledge precincts projects, following the global agenda, and the creation of a political, social, and cultural environment that allows knowledge to thrive, leading to more social justice and equity. In the end, the research asks: What is the definition of ‘knowledge' provided by the Egyptian government through its different developmental policies? How does it function inside the knowledge precincts projects? It also asks: Does Egypt's commitment to large scale programs through knowledge precincts reveal an authoritarian inclination?","PeriodicalId":13656,"journal":{"name":"Int. J. Sociotechnology Knowl. Dev.","volume":"13 1","pages":"119-140"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84599704","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 : 2021-10-01DOI: 10.4018/ijskd.2021100110
Amandeep Singh, A. Kaur
This paper examines the gender differences in the statements measuring ethical leadership and to explore the factors affecting ethical leadership. The questionnaire has been distributed among the various government senior secondary schools of Punjab, India. Independent t-test is applied to know the perception of males and females. The result reveals that females have higher perception in many of the statements in the ethical leadership scale as compared to male staff members. On the other hand, there are three factors that are affecting the ethical leadership showing the important correlation among them.
{"title":"Examining Gender Differences in the Factors Affecting Ethical Leadership: A Study of Educational Institutions","authors":"Amandeep Singh, A. Kaur","doi":"10.4018/ijskd.2021100110","DOIUrl":"https://doi.org/10.4018/ijskd.2021100110","url":null,"abstract":"This paper examines the gender differences in the statements measuring ethical leadership and to explore the factors affecting ethical leadership. The questionnaire has been distributed among the various government senior secondary schools of Punjab, India. Independent t-test is applied to know the perception of males and females. The result reveals that females have higher perception in many of the statements in the ethical leadership scale as compared to male staff members. On the other hand, there are three factors that are affecting the ethical leadership showing the important correlation among them.","PeriodicalId":13656,"journal":{"name":"Int. J. Sociotechnology Knowl. Dev.","volume":"9 1","pages":"153-164"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85191201","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 : 2021-10-01DOI: 10.4018/ijskd.2021100107
Ricky Mohanty, S. Pani, A. Azar
The livestock health management system is based on the principal concept to investigate bird health status by collecting biological traits like their sound utterance. This theme is implemented on four different species of livestock to cure them of bronchitis disease. This paper includes the audio features of both healthy and unhealthy livestock. Particularly, the secure audio-wellbeing features are incorporated into the platform to spontaneously examine and conclude using livestock voice information to recognize diseased birds. One month of long-term recognition experimental studies has been conducted where the recognition accuracy of the set of diseased birds was about 99% using adaptive neuro-fuzzy inference system (ANFIS). This recognition accuracy of ANFIS in this regard is better than the performance of an artificial neural network. This is a reliable way for researchers to investigate and constitute evidence of disease curability or eradication of incurable ones.
{"title":"Recognition of Livestock Disease Using Adaptive Neuro-Fuzzy Inference System","authors":"Ricky Mohanty, S. Pani, A. Azar","doi":"10.4018/ijskd.2021100107","DOIUrl":"https://doi.org/10.4018/ijskd.2021100107","url":null,"abstract":"The livestock health management system is based on the principal concept to investigate bird health status by collecting biological traits like their sound utterance. This theme is implemented on four different species of livestock to cure them of bronchitis disease. This paper includes the audio features of both healthy and unhealthy livestock. Particularly, the secure audio-wellbeing features are incorporated into the platform to spontaneously examine and conclude using livestock voice information to recognize diseased birds. One month of long-term recognition experimental studies has been conducted where the recognition accuracy of the set of diseased birds was about 99% using adaptive neuro-fuzzy inference system (ANFIS). This recognition accuracy of ANFIS in this regard is better than the performance of an artificial neural network. This is a reliable way for researchers to investigate and constitute evidence of disease curability or eradication of incurable ones.","PeriodicalId":13656,"journal":{"name":"Int. J. Sociotechnology Knowl. Dev.","volume":"16 1","pages":"101-118"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81614879","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 : 2021-10-01DOI: 10.4018/ijskd.2021100103
D. Ananth, L. V. S. Kumar, Tulasichandra Sekhar Gorripotu, A. Azar
Short-term load forecasting (STLF) is an integral component of energy management systems. In this paper, fuzzy logic-based algorithm is used for short-term load forecasting. The load changes over time and the goal is to satisfy the shift in demand and to maintain a fault as low as possible between the reference and real powers. The error in the load demand in mega-watt (MW) is compared with proposed technique as well as conventional methods. Three cases were investigated in which the load changes were 1) more random in nature, but the variance to the reference was more; 2) the random load changes were simpler, but a little different from the reference; and lastly, 3) the load changing was random, and the reference deviation was maximum. The results are analyzed for different load changes, and the corresponding results are verified using MATLAB. The deviation of the error value in load response is less experienced with a fuzzy logic controller than with a traditional system, and in fewer iterations, the objective function is also achieved.
{"title":"Design of a Fuzzy Logic Controller for Short-Term Load Forecasting With Randomly Varying Load","authors":"D. Ananth, L. V. S. Kumar, Tulasichandra Sekhar Gorripotu, A. Azar","doi":"10.4018/ijskd.2021100103","DOIUrl":"https://doi.org/10.4018/ijskd.2021100103","url":null,"abstract":"Short-term load forecasting (STLF) is an integral component of energy management systems. In this paper, fuzzy logic-based algorithm is used for short-term load forecasting. The load changes over time and the goal is to satisfy the shift in demand and to maintain a fault as low as possible between the reference and real powers. The error in the load demand in mega-watt (MW) is compared with proposed technique as well as conventional methods. Three cases were investigated in which the load changes were 1) more random in nature, but the variance to the reference was more; 2) the random load changes were simpler, but a little different from the reference; and lastly, 3) the load changing was random, and the reference deviation was maximum. The results are analyzed for different load changes, and the corresponding results are verified using MATLAB. The deviation of the error value in load response is less experienced with a fuzzy logic controller than with a traditional system, and in fewer iterations, the objective function is also achieved.","PeriodicalId":13656,"journal":{"name":"Int. J. Sociotechnology Knowl. Dev.","volume":"27 1","pages":"32-49"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86862078","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 : 2021-10-01DOI: 10.4018/ijskd.2021100104
Hadeer El-Saadawy, M. Tantawi, Howida A. Shedeed, M. Tolba
This paper introduces a novel automatic reliable hybrid two-stage method for bone x-rays abnormality detection. For this purpose, 10 different pre-trained convolutional neural networks architectures with different number of layers are examined. The introduced method considers the seven extremity upper bones, namely shoulder, humerus, forearm, elbow, wrist, hand, and finger. The enhanced images are fed into the first stage to classify the bone type into one of the seven bones. Thereafter, the abnormality is detected in the second stage using a specific classifier according to the bone type. Thus, the classification step consists of eight different classifiers: one for the bone classification stage and seven for the abnormality detection stage. Finally, support vector machine layer is examined as a last layer of the classification in the second stage. The best average sensitivity and specificity achieved by the first stage are 95.78% and 99.45%, and 83.25% and 83.25% for the second stage, respectively. All the experiments were carried out using MURA dataset.
{"title":"A Hybrid Two-Stage CNN-SVM Model for Bone X-Rays Classification and Abnormality Detection","authors":"Hadeer El-Saadawy, M. Tantawi, Howida A. Shedeed, M. Tolba","doi":"10.4018/ijskd.2021100104","DOIUrl":"https://doi.org/10.4018/ijskd.2021100104","url":null,"abstract":"This paper introduces a novel automatic reliable hybrid two-stage method for bone x-rays abnormality detection. For this purpose, 10 different pre-trained convolutional neural networks architectures with different number of layers are examined. The introduced method considers the seven extremity upper bones, namely shoulder, humerus, forearm, elbow, wrist, hand, and finger. The enhanced images are fed into the first stage to classify the bone type into one of the seven bones. Thereafter, the abnormality is detected in the second stage using a specific classifier according to the bone type. Thus, the classification step consists of eight different classifiers: one for the bone classification stage and seven for the abnormality detection stage. Finally, support vector machine layer is examined as a last layer of the classification in the second stage. The best average sensitivity and specificity achieved by the first stage are 95.78% and 99.45%, and 83.25% and 83.25% for the second stage, respectively. All the experiments were carried out using MURA dataset.","PeriodicalId":13656,"journal":{"name":"Int. J. Sociotechnology Knowl. Dev.","volume":"63 1","pages":"50-65"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88894497","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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