• Journal of the Korea Society of Computer and Information
• /
• v.14 no.6
• /
• pp.99-106
• /
• 2009

Over recent decades, concept mapping has been used as a valuable Learning and Teaching tool. A number of studies have shown a positive impact on student learning. One of the disadvantages of this technique has been that assessing them or providing feedback to students is time consuming. We aim here to introduce ways of reducing the complexity of using concept map techniques in online activities. Several types of scoring methods for the concept map based assessment have been developed. In this paper, we describe the development of an automatic assessment system that implements those techniques. We contribute a design that uses semantic web technologies for both the management and the scoring of the concept maps.

• Journal of Distribution Science
• /
• v.12 no.1
• /
• pp.29-33
• /
• 2014

Purpose - The focal point of this research is to study the implications of retention, various reasons for attrition and also different ways to control attrition along with the employee retention strategies implementing by the Indian IT sector. Research design, data and methodology - After thorough literature review on employee attrition and retention, questionnaire has prepared to collect the opinions of 200 employees which were chosen from 20 IT companies (10 each from large and medium size companies) with simple random sampling technique and also gathered the opinion of these companies HR managers on strategies they are implementing to retain their talent pool through personal and telephonic interviews. Results -The research completely limited to the IT companies located in the city of Pune which is emerged as a new IT hub of India. The collected data was analyzed with Microsoft Excel and frequency distribution. Conclusions - The researchers identified job associated, compensation related and inter-personal relations for quitting their positions along with the outlook of Indian IT companies related to the identification and implementation of retention strategies like incessant hikes in compensation package, improved working conditions, continuous introduction of employee welfare facilities, and genuine promotional policy, recognition and rewards, career planning and development, and exemplary leadership.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2022.05a
• /
• pp.149-149
• /
• 2022

Accurate quantitative evaluation of baseflow contribution to streamflow is imperative to address seasonal drought vulnerability, flood occurrence and groundwater management concerns for efficient and sustainable water resources management in watersheds. Several baseflow separation algorithms using recursive filters, graphical method and tracer or chemical balance have been developed but resulting baseflow outputs always show wide variations, thereby making it hard to determine best separation technique. Therefore, the current global shift towards implementation of artificial intelligence (AI) in water resources is employed to compare the performance of deep learning models with conventional hydrograph separation techniques to quantify baseflow contribution to streamflow of Piney River watershed, Tennessee from 2001-2021. Streamflow values are obtained from the USGS station 03602500 and modeled to generate values of Baseflow Index (BI) using Web-based Hydrograph Analysis (WHAT) model. Annual and seasonal baseflow outputs from the traditional separation techniques are compared with results of Long Short Term Memory (LSTM) and simple Gated Recurrent Unit (GRU) models. The GRU model gave optimal BFI values during the four seasons with average NSE = 0.98, KGE = 0.97, r = 0.89 and future baseflow volumes are predicted. AI offers easier and more accurate approach to groundwater management and surface runoff modeling to create effective water policy frameworks for disaster management.

• Structural Engineering and Mechanics
• /
• v.88 no.3
• /
• pp.239-249
• /
• 2023

The Radial Point Interpolation Method (RPIM) has been proposed to overcome the difficulties associated with the use of the Radial Basis Functions (RBFs). The RPIM has the following properties: Simple implementation in terms of boundary conditions as in the Finite Element Method (FEM). A less expensive CPU time compared to other collocation meshless methods such as the Moving Least Square (MLS) collocation method. In this work, we propose an adaptive high-order numerical algorithm based on RPIM to simulate the thermoviscoplastic behavior of a material mixing observed in the Friction Stir Welding (FSW) process. The proposed adaptive meshfree RPIM algorithm adapts well to the geometric and physical data by choosing a good shape parameter with a good precision. Our numerical approach combines the RPIM and the Asymptotic Numerical Method (ANM). A numerical procedure is also proposed in this work to automatically determine an improved shape parameter for the RBFs. The efficiency of the proposed algorithm is analyzed in comparison with an iterative algorithm.

• Asia pacific journal of information systems
• /
• v.33 no.4
• /
• pp.1093-1117
• /
• 2023

The study aims to determine the impact of quality outcomes on behavior intentions in Financial Technology (FinTech) payment services. The study is focused on the development and testing of the impact of the SERVQUAL model on the TAM, i.e., Technology Acceptance Model for the measurement of the behavioral intention of users to use fintech payment services. The sample entails 578 specific survey responses from northern India from October to December 2022. The respondents were users of FinTech. The PLS-SEM technique was employed to explain the implementation process. Consequently, it discovered a significant relationship between the SERVQUAL models and the impact on behavioral intentions identified by TAM. The study will provide insight into the factors that impact the quality outcomes and adoption of Fintech payment services to the providers. The paper demystifies FinTech payment services in the range of perception of service quality outcomes and provides essential theories. The TAM model reflects the customer's sense of satisfaction, usefulness, and attitude. In contrast, the SERVQUAL model demonstrates the user's assessment of service quality outcomes such as quality, trust, security, and service quality positively affects behavioral intention in FinTech payment services.

• ETRI Journal
• /
• v.46 no.3
• /
• pp.392-403
• /
• 2024

Even though generalized frequency division multiplexing is an alternative waveform method expected to replace the orthogonal frequency division multiplexing in the future, its implementation must alleviate channel effects. Least-squares (LS), a low-complexity channel estimation technique, could be improved by using the discrete Fourier transform (DFT) without increasing complexity. Unlike the usage of the LS method, the DFT-based method requires the receiver to know the channel impulse response (CIR) length, which is unknown. This study introduces a simple, yet effective, CIR length estimator by utilizing LS estimation. As the cyclic prefix (CP) length is commonly set to be longer than the CIR length, it is possible to search through the first samples if CP is larger than a threshold set using the remaining samples. An adaptive scale is also designed to lower the error probability of the estimation, and a simple signal-to-interference-noise ratio estimation is also proposed by utilizing a sparse preamble to support the use of the scale. A software simulation is used to show the ability of the proposed system to estimate the CIR length. Due to shorter CIR length of rural area, the performance is slightly poorer compared to urban environment. Nevertheless, satisfactory performance is shown for both environments.

• Korean Medical Education Review
• /
• v.26 no.1
• /
• pp.55-69
• /
• 2024

Amid the increasing interest in medical humanities education, this study developed a medical humanities course that utilized design thinking to foster creative thinking, problem-solving, and collaboration skills that pre-medical students should possess. The course's efficacy was assessed by evaluating improvements in core design thinking skills. The present study was conducted among 83 first-year medical students after planning and implementing a design thinking course. The reflection journals written by students along the course of the class were examined using the template analysis technique to evaluate the effectiveness of the class. The study's primary findings showed the successful development of step-by-step medical humanities education content utilizing design thinking and its practical implementation in a class. Moreover, the course improved students' core design thinking skills effectively, and in a balanced way. These results illustrate the effective application of design thinking in medical school through a medical humanities course. These findings indicate that a medical humanities course can help medical students showcase their abilities to collaborate and solve problems in the real world. This paper suggests the need for further research to develop a curriculum that integrates design thinking and investigate the relationship between medical students' core competencies and design thinking-based courses.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.19 no.1
• /
• pp.289-294
• /
• 2024

Traditional poll-based preference analysis techniques are time-consuming, expensive, and limited in the domains they can survey. To solve this problem, this paper proposes a preference analysis system based on sentiment analysis. After collecting web documents using the keywords entered by the user, the polarity is calculated using the N-gram technique. To reduce the analysis time when analyzing a large amount of web documents, we designed and implemented a container-based system using worker services. Comparing the analyzed results of the proposed system with existing polls shows a difference of 1% to 8%.

• Journal of KIISE:Databases
• /
• v.32 no.4
• /
• pp.441-451
• /
• 2005

HTML is mostly stored in native file systems instead of specialized repositories such as a database. Like HTML, XML, the standard for the exchange and the representation of data in the Internet, is mostly resident on native file systems. However. since XML data is irregular and verbose, the disk space and the network bandwidth are wasted compared to those of regularly structured data. To overcome this inefficiency of XML data, the research on the compression of XML data has been conducted. Among recently proposed XML compression techniques, some techniques do not support querying compressed data, while other techniques which support querying compressed data blindly encode data values using predefined encoding methods without considering the types of data values which necessitates partial decompression for processing range queries. As a result, the query performance on compressed XML data is degraded. Thus, this research proposes an XML compression technique which supports direct and efficient evaluations of queries on compressed XML data. This XML compression technique adopts an encoding method, called dictionary encoding, to encode each tag of XML data and applies proper encoding methods for encoding data values according to the inferred types of data values. Also, through the implementation and the performance evaluation of the XML compression technique proposed in this research, it is shown that the implemented XML compressor efficiently compresses real-life XML data lets and achieves significant improvements on query performance for compressed XML data.

• Journal of KIISE
• /
• v.41 no.11
• /
• pp.892-899
• /
• 2014

Dynamic binary instrumentation is a code insertion technique for debugging a program without scattering its execution flow, while the program is running. Most dynamic instrumentations are implemented using dynamic binary translation techniques. Existing studies translated program codes dynamically by parsing the machine code stream to intermediate representation (IR) and then applying compilation techniques for IRs. However, they have high overhead during translation, which is a major cause of difficulty in applying the dynamic binary translation technique to the program which requires high responsiveness. In this paper, we introduce a light-weight dynamic binary instrumentation framework based on a novel dynamic binary translation technique which has low overhead while translating the program code. In order to reduce the translation overhead, our approach adopts a tabular-based address translation and exploits a translation bypassing scheme, which stores the translated address of a frequently called library function in advance. It then accesses the translated address and executes function codes without code translation when calling the function. Our experiment results demonstrated that the proposed approach outperforms the prior dynamic binary translation techniques from 2% up to 65%.