The aims of this study are to understand the importance of audit quality and determine potential factors that might affect the external audit quality and also to highlight its importance of maintaining the external audit quality in Malaysia. This work will examine the effect of size of audit firm, audit tenure and industry specialization on external audit quality in Malaysia.This work was done based on quantitative research approach. In this study, a survey questionnaire is used as a purpose of obtaining data from respondents. The online questionnaires was distributed to fifty auditing firms in Malaysia which has been chosen randomly. SPSS software was used for the data analysis and data were analyzed in terms of Pearson Correlation Analysis and Multiple Regression. The result showed that there is weak positive relationship between the size of audit firm, audit tenure and industry specialization on external audit quality in Malaysia.The size of audit firm has a positive relationship with external audit quality as the correlation coefficient (r) obtained is 0.366. the correlation coefficient, r value of 0.383 indicates a weak positive relationship between audit tenure and external audit quality in Malaysia. The industry specialization has a direct influence on the external audit quality because the correlation coefficient (r) obtained from Pearson correlation analysis is 0.772.
{"title":"Factors Affecting External Audit Quality In Malaysia","authors":"Loh Wan Qi, Ooi Jing Wen, R. K. Nair","doi":"10.1145/3377817.3377822","DOIUrl":"https://doi.org/10.1145/3377817.3377822","url":null,"abstract":"The aims of this study are to understand the importance of audit quality and determine potential factors that might affect the external audit quality and also to highlight its importance of maintaining the external audit quality in Malaysia. This work will examine the effect of size of audit firm, audit tenure and industry specialization on external audit quality in Malaysia.This work was done based on quantitative research approach. In this study, a survey questionnaire is used as a purpose of obtaining data from respondents. The online questionnaires was distributed to fifty auditing firms in Malaysia which has been chosen randomly. SPSS software was used for the data analysis and data were analyzed in terms of Pearson Correlation Analysis and Multiple Regression. The result showed that there is weak positive relationship between the size of audit firm, audit tenure and industry specialization on external audit quality in Malaysia.The size of audit firm has a positive relationship with external audit quality as the correlation coefficient (r) obtained is 0.366. the correlation coefficient, r value of 0.383 indicates a weak positive relationship between audit tenure and external audit quality in Malaysia. The industry specialization has a direct influence on the external audit quality because the correlation coefficient (r) obtained from Pearson correlation analysis is 0.772.","PeriodicalId":343999,"journal":{"name":"Proceedings of the 2019 2nd International Conference on E-Business, Information Management and Computer Science","volume":"185 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124286662","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}
Investors evaluate and make their decisions based on the financial statements of the company, thus they will be always concern about the quality of the external auditor's report. External auditors will express their opinion on the fairness of the financial statements. When there is a high audit quality, it gives a greater assurance of high financial reporting quality to the investor. Higher audit quality gives confidence to investor to make their decision on the financial reporting. However, some investors do not consider that the audit report is helpful in their decision- making process, while other users were of the opinion that the financial statements fail to satisfy their information needs. This indicates that the investors are losing their confidence and reliance on the audit reports. Therefore, this study is done to identify the major factors that will influence the audit quality of external auditor. Based on the past researchers work it was identified corporate governance, size of audit firm and industry specialization are some of the major factors that affect the audit quality. This study is done to confirm the same factors are also applicable to the audit firm in Malaysia. The study was conducted among 30 targeted audit firms in Klang Valley, Malaysia, since most of the audit firms in Malaysia are situated here. Questionnaires were sent out to these firms and the results were analysed using the SPSS tools. The results indicate that factors such as corporate governance, size of audit firm and industry specialization have a positive relationship with the audit quality of external auditor. This research will be beneficial to the external auditor to understand the important of the corporate governance, size of audit firm and industry specialization when comes to the quality and reliability of the financial information by the users as well as enhance the credibility of the organizations.
{"title":"Factors Affect the Audit Quality of External Auditor at Klang Valley","authors":"Seah Ni Xi, Tong Yee, R. K. Nair","doi":"10.1145/3377817.3377821","DOIUrl":"https://doi.org/10.1145/3377817.3377821","url":null,"abstract":"Investors evaluate and make their decisions based on the financial statements of the company, thus they will be always concern about the quality of the external auditor's report. External auditors will express their opinion on the fairness of the financial statements. When there is a high audit quality, it gives a greater assurance of high financial reporting quality to the investor. Higher audit quality gives confidence to investor to make their decision on the financial reporting. However, some investors do not consider that the audit report is helpful in their decision- making process, while other users were of the opinion that the financial statements fail to satisfy their information needs. This indicates that the investors are losing their confidence and reliance on the audit reports. Therefore, this study is done to identify the major factors that will influence the audit quality of external auditor. Based on the past researchers work it was identified corporate governance, size of audit firm and industry specialization are some of the major factors that affect the audit quality. This study is done to confirm the same factors are also applicable to the audit firm in Malaysia. The study was conducted among 30 targeted audit firms in Klang Valley, Malaysia, since most of the audit firms in Malaysia are situated here. Questionnaires were sent out to these firms and the results were analysed using the SPSS tools. The results indicate that factors such as corporate governance, size of audit firm and industry specialization have a positive relationship with the audit quality of external auditor. This research will be beneficial to the external auditor to understand the important of the corporate governance, size of audit firm and industry specialization when comes to the quality and reliability of the financial information by the users as well as enhance the credibility of the organizations.","PeriodicalId":343999,"journal":{"name":"Proceedings of the 2019 2nd International Conference on E-Business, Information Management and Computer Science","volume":"59 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114044851","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}
V. Ponnusamy, Wong Choon Hong, Aun Yichiet, R. Annur, G. Lee
Recently popularity in current digital devices with touch sense system such as smartphones, iPad, iPod, Nintendo DS, Automated Teller Machine (ATM), Windows 10 devices and etc. Smartphone is the one of main communication device in current global because it is portable with-it size and ease to carry. Other than that, it has numerous features combine into one device. User can do their transaction through online banking with their phone for online shopping, fund transfer, pay bills and view current balance using smartphone. A smartphone is become most important device in daily life so the smartphone security is an important issue. To secure the sensitive data for stored and accessed from, smartphone device has made user authentication become an importance major issue. Most of the smartphone devices using traditional way such as setting pin and password. Pin is using 4 random numerical number 1 to 9 while Password using 4 to 32 numerical number 1 to 9. A different security lock in smartphone is pattern lock while user can draw different pattern into the 9 dots to lock the phone. While for current security using biometric fingerprint security for unlock phone. It was dominant to analyze users' daily behaviors and evolve mobile phones into truly intelligent personal devices to secure users. While making the device truly intelligent should implement machine learning with biometric together and let the device learn and predict future. However, keystroke dynamics is the one of the behavior biometric that can implement with machine learning to create continuously authentication to track the owner of the devices.
最近在智能手机，iPad, iPod，任天堂DS，自动柜员机(ATM)， Windows 10设备等当前数字设备中流行的触摸感应系统。智能手机是当今全球主要的通信设备之一，因为它体积小，携带方便。除此之外，它还将许多功能整合到一个设备中。用户可以通过手机进行网上银行交易，通过智能手机进行网上购物、资金转账、支付账单和查看当前余额。智能手机已经成为人们日常生活中最重要的设备，因此智能手机的安全是一个重要的问题。为了保护存储和访问的敏感数据，智能手机设备使用户认证成为一个重要的主要问题。大多数智能手机设备使用传统的方式，如设置pin和密码。引脚使用4个随机数字1到9，而密码使用4到32个数字1到9。智能手机的另一种安全锁是图案锁，用户可以在9个点上画不同的图案来锁定手机。而对于目前的安全使用生物识别指纹安全解锁手机。分析用户的日常行为，将手机发展成为真正智能的个人设备，以保障用户的安全。让设备真正智能化的同时，应该把机器学习和生物识别技术结合起来，让设备学习和预测未来。然而，击键动力学是一种可以通过机器学习实现的行为生物识别技术，可以创建连续的身份验证来跟踪设备的所有者。
{"title":"Keystroke Dynamics in Mobile Platform","authors":"V. Ponnusamy, Wong Choon Hong, Aun Yichiet, R. Annur, G. Lee","doi":"10.1145/3377817.3377843","DOIUrl":"https://doi.org/10.1145/3377817.3377843","url":null,"abstract":"Recently popularity in current digital devices with touch sense system such as smartphones, iPad, iPod, Nintendo DS, Automated Teller Machine (ATM), Windows 10 devices and etc. Smartphone is the one of main communication device in current global because it is portable with-it size and ease to carry. Other than that, it has numerous features combine into one device. User can do their transaction through online banking with their phone for online shopping, fund transfer, pay bills and view current balance using smartphone. A smartphone is become most important device in daily life so the smartphone security is an important issue. To secure the sensitive data for stored and accessed from, smartphone device has made user authentication become an importance major issue. Most of the smartphone devices using traditional way such as setting pin and password. Pin is using 4 random numerical number 1 to 9 while Password using 4 to 32 numerical number 1 to 9. A different security lock in smartphone is pattern lock while user can draw different pattern into the 9 dots to lock the phone. While for current security using biometric fingerprint security for unlock phone. It was dominant to analyze users' daily behaviors and evolve mobile phones into truly intelligent personal devices to secure users. While making the device truly intelligent should implement machine learning with biometric together and let the device learn and predict future. However, keystroke dynamics is the one of the behavior biometric that can implement with machine learning to create continuously authentication to track the owner of the devices.","PeriodicalId":343999,"journal":{"name":"Proceedings of the 2019 2nd International Conference on E-Business, Information Management and Computer Science","volume":"519 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116255626","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}
In an innovative economy, technology change is the heart of economic growth. Trade is central to economic growth that creates a global trading system that is more open and reliable for all. The diffusion of information and communication technologies (ICT) has made the process of trading become faster and cheaper. ICT has intensely influenced the global economy and its usage has been connected to marketplace transformation and more robust international trade.The rise of technology intensity around the globe has increased competition for trade in the ASEAN-5 economies. Do ICT facilitate the exchange of products and services between individuals, businesses and groups to enhance the trade in ASEAN-5? The objective of this study is to examine the impacts of broadband, internet, telephone and mobile use on trade flows in ASEAN-5 using panel regression models for year 2000-2018. The findings suggest that broadband, telephone and mobile use serve as complementary roles to the internet usage to enhance trade activities.The study also shows that the dominant technology driver isinternet. This study demonstrates that Neo-Schumpeterian Economics is important to explain technology as an important element determining the characteristics of international trade flows and growth in ASEAN-5. To improve the trade activities in ASEAN-5, encouragement on ICT use across individuals, firms and public administrations should be supported to stimulate international trade.
{"title":"Does Neo-Schumpeterian economics matter?: An analysis of information and communication technology and international trade in ASEAN-5","authors":"H. Lee, S. Lee, W. Har, C. W. Low","doi":"10.1145/3377817.3377848","DOIUrl":"https://doi.org/10.1145/3377817.3377848","url":null,"abstract":"In an innovative economy, technology change is the heart of economic growth. Trade is central to economic growth that creates a global trading system that is more open and reliable for all. The diffusion of information and communication technologies (ICT) has made the process of trading become faster and cheaper. ICT has intensely influenced the global economy and its usage has been connected to marketplace transformation and more robust international trade.The rise of technology intensity around the globe has increased competition for trade in the ASEAN-5 economies. Do ICT facilitate the exchange of products and services between individuals, businesses and groups to enhance the trade in ASEAN-5? The objective of this study is to examine the impacts of broadband, internet, telephone and mobile use on trade flows in ASEAN-5 using panel regression models for year 2000-2018. The findings suggest that broadband, telephone and mobile use serve as complementary roles to the internet usage to enhance trade activities.The study also shows that the dominant technology driver isinternet. This study demonstrates that Neo-Schumpeterian Economics is important to explain technology as an important element determining the characteristics of international trade flows and growth in ASEAN-5. To improve the trade activities in ASEAN-5, encouragement on ICT use across individuals, firms and public administrations should be supported to stimulate international trade.","PeriodicalId":343999,"journal":{"name":"Proceedings of the 2019 2nd International Conference on E-Business, Information Management and Computer Science","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122249305","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}
Loon Ann Chi, Tee Kien Hui, Marcia Edna Santhanarajan
Insurance plays an important role in the risk management of one's life and financial portfolio. The main purpose of this study is to determine the factors influencing life insurance consumption in Malaysia. The relationship between the level of income, level of education, perception of life insurance benefits, medical expense risk and life insurance consumption in Malaysia was analyzed. there are two theories being used in this study which are life-cycle hypothesis (LCH) and consumer perception theory. This study utilized a quantitative research approach. Questionnaire was randomly distributed to 200 current taxpayers in Malaysia from various occupational backgrounds and restricting to Klang Valley area.Data was analyzed using SPSS software. Results showed that It was found that all independent variables (level of income, level of education, perception of life insurance benefits, and medical expense risk) have positive relationship with the dependent variable (life insurance consumption in Malaysia).
{"title":"Factors Influencing Life Insurance Consumption In Malaysia","authors":"Loon Ann Chi, Tee Kien Hui, Marcia Edna Santhanarajan","doi":"10.1145/3377817.3377825","DOIUrl":"https://doi.org/10.1145/3377817.3377825","url":null,"abstract":"Insurance plays an important role in the risk management of one's life and financial portfolio. The main purpose of this study is to determine the factors influencing life insurance consumption in Malaysia. The relationship between the level of income, level of education, perception of life insurance benefits, medical expense risk and life insurance consumption in Malaysia was analyzed. there are two theories being used in this study which are life-cycle hypothesis (LCH) and consumer perception theory. This study utilized a quantitative research approach. Questionnaire was randomly distributed to 200 current taxpayers in Malaysia from various occupational backgrounds and restricting to Klang Valley area.Data was analyzed using SPSS software. Results showed that It was found that all independent variables (level of income, level of education, perception of life insurance benefits, and medical expense risk) have positive relationship with the dependent variable (life insurance consumption in Malaysia).","PeriodicalId":343999,"journal":{"name":"Proceedings of the 2019 2nd International Conference on E-Business, Information Management and Computer Science","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116321875","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}
Since the 21st century, international trade has developed rapidly, and the complicated trade relations among countries have formed a trade network. We use (SNA), which is based on topology, to analyze the characteristics and influencing factors of China's position evolution in the global service trade network by calculating network density, degree centrality, network diameter, clustering coefficient and other network indicators. It is helpful to correctly understand the gap of influence between China and other countries in global service trade, and to clarify the direction for the development of China's service trade in the future. Based on the World Bank Service Trade Database of 180 countries in 2005, 2009 and2015, this paper constructs a global service trade network model, and studies the influencing factors of the position change of countries in global service trade network. It is found that China's foreign trade network is stable, but itscondensed subgroup is gradually transferred from the core position to the semi-core position under the influence of the financial crisis. China's service trade flow is large, but the trade relationship is insufficient. The relationship between countries in service trade and trade volume choice is negatively correlated with the geographical distance between countries and adjacent areas of land. They are also members of WTO, and there is a significant positive correlation amongregional service trade agreements.
{"title":"Evolution Analysis of Foreign Trade Network Structructure Based on Complex Network SNA","authors":"M. Mao, Xi Cheng","doi":"10.1145/3377817.3377839","DOIUrl":"https://doi.org/10.1145/3377817.3377839","url":null,"abstract":"Since the 21st century, international trade has developed rapidly, and the complicated trade relations among countries have formed a trade network. We use (SNA), which is based on topology, to analyze the characteristics and influencing factors of China's position evolution in the global service trade network by calculating network density, degree centrality, network diameter, clustering coefficient and other network indicators. It is helpful to correctly understand the gap of influence between China and other countries in global service trade, and to clarify the direction for the development of China's service trade in the future. Based on the World Bank Service Trade Database of 180 countries in 2005, 2009 and2015, this paper constructs a global service trade network model, and studies the influencing factors of the position change of countries in global service trade network. It is found that China's foreign trade network is stable, but itscondensed subgroup is gradually transferred from the core position to the semi-core position under the influence of the financial crisis. China's service trade flow is large, but the trade relationship is insufficient. The relationship between countries in service trade and trade volume choice is negatively correlated with the geographical distance between countries and adjacent areas of land. They are also members of WTO, and there is a significant positive correlation amongregional service trade agreements.","PeriodicalId":343999,"journal":{"name":"Proceedings of the 2019 2nd International Conference on E-Business, Information Management and Computer Science","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131334091","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}
Career path is one of the important aspects of a student's life since it determines their future upon completing their studies. However, many students face dilemma in deciding their career due to many factors. Thus, this research intend to find out which is/are the factor/s that influence accounting students in UCSI University in choosing internal audit as their career options. This study was conducted among 198 respondents by using survey questionnaire. The primary data collected is being processed and analysed using the SPSS system. The tests carried out in SPSS were reliability test, Karl Pearson's Coefficient of correlation, multiple regression analysis and ANOVA. From the result of this study, it was found that only one factor, namely personal interest, had a strong relationship with dependent variable (internal audit). While another two independent variables (parental and peer influence and management training ground) had a weak relationship in choosing internal audit as career option.
{"title":"Factors Influencing Acounting Students in UCSI University in Choosing Internal Audit as Their Career Options","authors":"T. Y. Shan, W. J. Rou, R. K. Nair","doi":"10.1145/3377817.3377824","DOIUrl":"https://doi.org/10.1145/3377817.3377824","url":null,"abstract":"Career path is one of the important aspects of a student's life since it determines their future upon completing their studies. However, many students face dilemma in deciding their career due to many factors. Thus, this research intend to find out which is/are the factor/s that influence accounting students in UCSI University in choosing internal audit as their career options. This study was conducted among 198 respondents by using survey questionnaire. The primary data collected is being processed and analysed using the SPSS system. The tests carried out in SPSS were reliability test, Karl Pearson's Coefficient of correlation, multiple regression analysis and ANOVA. From the result of this study, it was found that only one factor, namely personal interest, had a strong relationship with dependent variable (internal audit). While another two independent variables (parental and peer influence and management training ground) had a weak relationship in choosing internal audit as career option.","PeriodicalId":343999,"journal":{"name":"Proceedings of the 2019 2nd International Conference on E-Business, Information Management and Computer Science","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122554736","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}
Septia Rani, Yoga Agung Kurnia, S. N. Huda, Sarah Ayu Safitri Ekamas
In this paper, a mobile application that could assist tourists in arranging travel itineraries has been developed. In the case of making an itinerary, often tourists have been determined the tourist destinations they want to visit, but they confused in determining the order of efficient visits. Balanced clustering is an approach to classify tourist destinations based on the proximity of their location, which gives the results of a cluster whose cardinality between members of the cluster is balanced. Furthermore, each cluster group from the results of this clustering will be seen as a case of the Traveling Salesman Problem (TSP), which we need to find the most efficient sequence of visits in each cluster that contains a list of tourist destinations. The algorithm used for the completion of the TSP is the Held-Karp algorithm. From the running time measurement test, it is obtained that the Held-Karp algorithm solves the problem of finding the TSP route faster than using the Brute Force approach. In addition, the implementation of balanced clustering using the Hungarian algorithm can make the number of tourist destinations to be visited in each day become balance.
{"title":"Smart Travel Itinerary Planning Application using Held-Karp Algorithm and Balanced Clustering Approach","authors":"Septia Rani, Yoga Agung Kurnia, S. N. Huda, Sarah Ayu Safitri Ekamas","doi":"10.1145/3377817.3377847","DOIUrl":"https://doi.org/10.1145/3377817.3377847","url":null,"abstract":"In this paper, a mobile application that could assist tourists in arranging travel itineraries has been developed. In the case of making an itinerary, often tourists have been determined the tourist destinations they want to visit, but they confused in determining the order of efficient visits. Balanced clustering is an approach to classify tourist destinations based on the proximity of their location, which gives the results of a cluster whose cardinality between members of the cluster is balanced. Furthermore, each cluster group from the results of this clustering will be seen as a case of the Traveling Salesman Problem (TSP), which we need to find the most efficient sequence of visits in each cluster that contains a list of tourist destinations. The algorithm used for the completion of the TSP is the Held-Karp algorithm. From the running time measurement test, it is obtained that the Held-Karp algorithm solves the problem of finding the TSP route faster than using the Brute Force approach. In addition, the implementation of balanced clustering using the Hungarian algorithm can make the number of tourist destinations to be visited in each day become balance.","PeriodicalId":343999,"journal":{"name":"Proceedings of the 2019 2nd International Conference on E-Business, Information Management and Computer Science","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133212220","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}
With the continuous development of artificial intelligence research and high-performance computers, deep learning and related theories, neural networks have become mainstream acoustic models. This article starts with the overall framework and basic principles of speech recognition, and studies the language recognition system under deep neural network. Through deep neural network, it can better deal with the large amount of Chinese data processing process, reduce model complexity, and improve the accuracy of Chinese speech recognition rate. For this reason, this paper uses the deep neural network-based Chinese speech recognition system as the research object to study the speech quality after recognition. The results verify that the deep neural network language model has a better recognition accuracy.
{"title":"Research on Speech Quality Evaluation Method Based on Deep Neural Network","authors":"Teng Haikun, W. Shiying, Li Lunbin","doi":"10.1145/3377817.3377841","DOIUrl":"https://doi.org/10.1145/3377817.3377841","url":null,"abstract":"With the continuous development of artificial intelligence research and high-performance computers, deep learning and related theories, neural networks have become mainstream acoustic models. This article starts with the overall framework and basic principles of speech recognition, and studies the language recognition system under deep neural network. Through deep neural network, it can better deal with the large amount of Chinese data processing process, reduce model complexity, and improve the accuracy of Chinese speech recognition rate. For this reason, this paper uses the deep neural network-based Chinese speech recognition system as the research object to study the speech quality after recognition. The results verify that the deep neural network language model has a better recognition accuracy.","PeriodicalId":343999,"journal":{"name":"Proceedings of the 2019 2nd International Conference on E-Business, Information Management and Computer Science","volume":"139 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122127485","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 development of Big Data applications in education has drawn much attention in the last few years due to the enormous benefits it brings to improving teaching and learning. The integration of these Big Data applications in education generates massive data that put new demands to available processing technologies of data and extraction of useful information. Primarily, several higher educational institutions depend on the knowledge mined from these vast volumes of data to optimise the teaching and learning environment. However, Big Data in the higher education context has relied on traditional data techniques and platforms that are less efficient. This paper, therefore, conducts a Systematic Literature Review (SLR) that examines Big Data framework technologies in higher education outlining gaps that need a solution in Big Educational Data Analytics. We achieved this by summarising the current knowledge on the topic and recommend areas where educational institutions could focus on exploring the potential of Big Data Analytics. To this end, we reviewed 55 related articles out of 1543 selected from Six (6) accessible Computer Science databases between the period of 2007 and 2018, focusing on the development of the Big Data framework and its applicability in education for academic purposes. Our results show that very few researchers have tried to address the integrative use of Big Data framework and learning analytics in higher education. The review further suggests that there is an emerging best practice in applying Big Data Analytics to improve teaching and learning. However, this information does not appear to have been thoroughly examined in higher education. Hence, there is the need for a complete investigation to come up with comprehensive Big Data frameworks that build effective learning systems for instructors, learners, course designers and educational administrators.
{"title":"A Systematic Review on Big Data Analytics Frameworks for Higher Education - Tools and Algorithms","authors":"David Otoo-Arthur, Terence L van Zyl","doi":"10.1145/3377817.3377836","DOIUrl":"https://doi.org/10.1145/3377817.3377836","url":null,"abstract":"The development of Big Data applications in education has drawn much attention in the last few years due to the enormous benefits it brings to improving teaching and learning. The integration of these Big Data applications in education generates massive data that put new demands to available processing technologies of data and extraction of useful information. Primarily, several higher educational institutions depend on the knowledge mined from these vast volumes of data to optimise the teaching and learning environment. However, Big Data in the higher education context has relied on traditional data techniques and platforms that are less efficient. This paper, therefore, conducts a Systematic Literature Review (SLR) that examines Big Data framework technologies in higher education outlining gaps that need a solution in Big Educational Data Analytics. We achieved this by summarising the current knowledge on the topic and recommend areas where educational institutions could focus on exploring the potential of Big Data Analytics. To this end, we reviewed 55 related articles out of 1543 selected from Six (6) accessible Computer Science databases between the period of 2007 and 2018, focusing on the development of the Big Data framework and its applicability in education for academic purposes. Our results show that very few researchers have tried to address the integrative use of Big Data framework and learning analytics in higher education. The review further suggests that there is an emerging best practice in applying Big Data Analytics to improve teaching and learning. However, this information does not appear to have been thoroughly examined in higher education. Hence, there is the need for a complete investigation to come up with comprehensive Big Data frameworks that build effective learning systems for instructors, learners, course designers and educational administrators.","PeriodicalId":343999,"journal":{"name":"Proceedings of the 2019 2nd International Conference on E-Business, Information Management and Computer Science","volume":"426 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132102644","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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