The Experts below are selected from a list of 72 Experts worldwide ranked by ideXlab platform

Suree Bosakoranut - One of the best experts on this subject based on the ideXlab platform.

  • Fraud Risk Factors and Fraud Risk Assessment of Government Agencies
    2019
    Co-Authors: Piyaphisak Jearasukon, Suree Bosakoranut
    Abstract:

    The purposes of this research were to (1) determine risk factors and fraud types through social reality, (2) analyze risk factors on fraud, and (3) create a fraud risk assessment model and the development program for fraud risk assessment. This research was carried out by both qualitative and quantitative methods. The population consisted of external auditors under the State Audit Office of the Kingdom of Thailand, internal auditors of Provincial Administrative Organization, internal auditors of Municipality, and internal auditors of City Municipality, a total of 461 persons. The research instruments were interview forms, questionnaires, and fraud risk assessment models. The statistics for data analysis included mean, standard deviation, exploratory factor analysis, and basic Math Operation. The research findings revealed that: (1) risk factors and risk types through social reality consisted of 26 variables, the mean was between 3.34 - 3.92, and the standard deviation was between 1.007- 1.080, which were from moderate to high level, averagely, (2) risk factors on fraud consisted of 3 factors described by 26 variables, which were (1) compliance risk factors described by 11 variables, (2) financial risk factors described by 9 variables, and (3) personal risk factors described by 6 variables, and 3) fraud risks assessment model and program for fraud risk assessment which consisted of 4 factors, which were (1) data about agencies, (2) Operation risk assessment model (Operation Risk: π), (3) risk factor scores assessment model (risk factors: RFS), and (4) internal control assessment model. (Internal Control: IC) and this research to develop program for fraud risk factor assessment on Microsoft excel program.

Otilia C. Barbu - One of the best experts on this subject based on the ideXlab platform.

  • Mathematics word problems solving by English language learners and web based tutoring system
    2010
    Co-Authors: Otilia C. Barbu
    Abstract:

    The goal of the study was to investigate the impact of English text difficulty on English learners’ Math word problem solving. Booklets containing eight word problems and 5 point Likert-type rating scale items were given to 41 students. The students were asked to solve 8 Math word problems written in English, and varying in grade level readability (vocabulary and grammatical complexity) as well as in the Math Operation (e.g., arithmetic, simple algebra). The researcher provided the students with hints as needed to ensure that students found the correct solution. The results showed that both English difficulty and Math level difficulty contributed to the students’ poor achievements. Based on the results, some suggestions for improvements to an existing Web based Math instructional software aimed at helping ELL students (called Animal Watch) have been made.

Federico Cirett Galan - One of the best experts on this subject based on the ideXlab platform.

  • Math word problem solving by English learners and English primary students in an intelligent tutoring system
    International Journal of Learning Technology, 2015
    Co-Authors: Carole R. Beal, Federico Cirett Galan
    Abstract:

    Math word problem solving in an online tutoring system was compared for high school students who were native speakers of English English primary and their peers who were learning English English learners. Word problems were written in English, the language of instruction. Data records for word problems that had been solved by students in both language groups were located and compared. Results indicated that the English learners were less likely to answer correctly, had more incorrect answer attempts, and took longer per problem on average than English primary students. When word problems were matched for Math Operation, students in both language groups performed worse on problems with more challenging text. There were no differences for the two language groups with regard to self-reported Math motivation, plans to attend college, or off-task 'gaming' behaviour, suggesting that the lower performance of the English learners could not be attributed to lower effort.

Piyaphisak Jearasukon - One of the best experts on this subject based on the ideXlab platform.

  • Fraud Risk Factors and Fraud Risk Assessment of Government Agencies
    2019
    Co-Authors: Piyaphisak Jearasukon, Suree Bosakoranut
    Abstract:

    The purposes of this research were to (1) determine risk factors and fraud types through social reality, (2) analyze risk factors on fraud, and (3) create a fraud risk assessment model and the development program for fraud risk assessment. This research was carried out by both qualitative and quantitative methods. The population consisted of external auditors under the State Audit Office of the Kingdom of Thailand, internal auditors of Provincial Administrative Organization, internal auditors of Municipality, and internal auditors of City Municipality, a total of 461 persons. The research instruments were interview forms, questionnaires, and fraud risk assessment models. The statistics for data analysis included mean, standard deviation, exploratory factor analysis, and basic Math Operation. The research findings revealed that: (1) risk factors and risk types through social reality consisted of 26 variables, the mean was between 3.34 - 3.92, and the standard deviation was between 1.007- 1.080, which were from moderate to high level, averagely, (2) risk factors on fraud consisted of 3 factors described by 26 variables, which were (1) compliance risk factors described by 11 variables, (2) financial risk factors described by 9 variables, and (3) personal risk factors described by 6 variables, and 3) fraud risks assessment model and program for fraud risk assessment which consisted of 4 factors, which were (1) data about agencies, (2) Operation risk assessment model (Operation Risk: π), (3) risk factor scores assessment model (risk factors: RFS), and (4) internal control assessment model. (Internal Control: IC) and this research to develop program for fraud risk factor assessment on Microsoft excel program.

Se-young Yun - One of the best experts on this subject based on the ideXlab platform.

  • SIPA: A Simple Framework for Efficient Networks
    arXiv: Learning, 2020
    Co-Authors: Gihun Lee, Sangmin Bae, Se-young Yun
    Abstract:

    With the success of deep learning in various fields and the advent of numerous Internet of Things (IoT) devices, it is essential to lighten models suitable for low-power devices. In keeping with this trend, MicroNet Challenge, which is the challenge to build efficient models from the view of both storage and computation, was hosted at NeurIPS 2019. To develop efficient models through this challenge, we propose a framework, coined as SIPA, consisting of four stages: Searching, Improving, Pruning, and Accelerating. With the proposed framework, our team, OSI AI, compressed 334x the parameter storage and 357x the Math Operation compared to WideResNet-28-10 and took 4th place in the CIFAR-100 track at MicroNet Challenge 2019 with the top 10% highly efficient computation. Our source code is available from this https URL.

  • ICDM (Workshops) - SIPA: A Simple Framework for Efficient Networks
    2020 International Conference on Data Mining Workshops (ICDMW), 2020
    Co-Authors: Gihun Lee, Sangmin Bae, Se-young Yun
    Abstract:

    With the success of deep learning in various fields and the advent of numerous Internet of Things (IoT) devices, it is essential to lighten models suitable for low-power devices. Significantly, the technology of lightening the model is closely related to the smart energy industry and academia, such as the smart grid, because such fields use various IoT data and require real-time monitoring. In keeping with this trend, MicroNet Challenge, which is the challenge to build efficient models from the view of both storage and computation, was hosted at NeurIPS 2019. To develop efficient models through this challenge, we propose a framework, coined as SIPA, consisting of four stages: Searching, Improving, Pruning, and Accelerating. With the proposed framework, our team, OSI AI, compressed 334x the parameter storage and 357x the Math Operation compared to WideResNet-28-10 and took 3rd place except for repeated submissions in the CIFAR-100 track at MicroNet Challenge 2019 with the top 10% highly efficient computation. Our source code is available from https://github.com/Lee-Gihun/MicroNet_OSI-AI.