• Journal of Internet Computing and Services
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• v.21 no.5
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• pp.57-65
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• 2020

At present, the existing virus recognition systems usually use signature approach to detect malicious executable files, but these methods often fail to detect new and invisible malware. At the same time, some methods try to use more general features to detect malware, and achieve some success. Moreover, machine learning-based approaches are applied to detect malware, which depend on features extracted from malicious codes. However, the different distribution of features oftraining and testing datasets also impacts the effectiveness of the detection models. And the generation oflabeled datasets need to spend a significant amount time, which degrades the performance of the learning method. In this paper, we use transfer learning to detect new and previously unseen malware. We first extract the features of Portable Executable (PE) files, then combine transfer learning training model with KNN approachto detect the new and unseen malware. We also evaluate the detection performance of a classifier in terms of precision, recall, F1, and so on. The experimental results demonstrate that proposed method with high detection rates andcan be anticipated to carry out as well in the real-world environment.

• Management & Information Systems Review
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• v.14
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• pp.1-24
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• 2004

The Internet is flourishing and the World Wide Web is growing at an exponential rate. A fundamental concept of Intranet, the so-called second wave, was introduced only a few years ago. Intranets have been embraced by corporate users of information services and made substantial inroads in strategic vision documents and procurement practices. Business organizations have come to the conclusion that they require an extensive data repository in order to acquire a competitive advantage in a dynamically change market. This rich assortment of data must further be delivered and deliverable enterprise-wide in a secure and cost-efficient manner. Information technology(IT) has created the Intranet as a vitally important mechanism for the storage, dissemination, and even the analysis data. The present study is an attempt to develop a more through understanding of the potential and actual impact of the Intranet on organizational functions and activities. Expecially, it also consists of an effort to assess the impact of the Intranet on work collaboration. The research also addresses the issue of how the Intranet affects work collaboration and shapes or modifies business activities. The results of literature review and study revealed that middle managers believe that the extent of the Intranet use is significantly related to improvements in overall organizational functions and activities. While communication, decision-making, productivity, work collaboration, and business activities are all enhanced by Intranet use, Work Collaboration appears to be most dramatically improved by Intranet use.

• Healthcare Informatics Research
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• v.24 no.4
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• pp.263-275
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• 2018

Objectives: Automated audiometry provides an opportunity to do audiometry when there is no direct access to a clinical audiologist. This approach will help to use hearing services and resources efficiently. The purpose of this study was to review studies related to automated audiometry by focusing on the implementation of an audiometer, the use of transducers and evaluation methods. Methods: This review study was conducted in 2017. The papers related to the design and implementation of automated audiometry were searched in the following databases: Science Direct, Web of Science, PubMed, and Scopus. The time frame for the papers was between January 1, 2010 and August 31, 2017. Initially, 143 papers were found, and after screening, the number of papers was reduced to 16. Results: The findings showed that the implementation methods were categorized into the use of software (7 papers), hardware (3 papers) and smartphones/tablets (6 papers). The used transducers were a variety of earphones and bone vibrators. Different evaluation methods were used to evaluate the accuracy and the reliability of the diagnoses. However, in most studies, no significant difference was found between automated and traditional audiometry. Conclusions: It seems that automated audiometry produces the same results compared with traditional audiometry. However, the main advantages of this method; namely, saving costs and increased accessibility to hearing services, can lead to a faster diagnosis of hearing impairment, especially in poor areas.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.39 no.3
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• pp.192-203
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• 2016

Uganda is a country blessed with the biggest number of mountain Gorillas in the whole world. These animals contribute at least 12% in revenue generation to the Tourism sector through tracking by both local and foreign tourists who pay for the tracking permits. However, Gorilla tracking is also a big challenge even in the presence of highly skilled and well-trained game rangers. Development and implementation of a secure Computer and Mobile based Gorilla Tracking (GT) system that uses GIS and GPS technologies would be the most ideal technology to use. Therefore, this study aimed to find out the critical factors that would affect the Behavioral Intention of the would-be users to successfully decide to use such GIS/GPS-GT system. We used the existing UTAUT model to integrate six factors such as Performance Expectancy, Effort Expectancy, Employee Peer Influence, Facilitating Conditions, Behavioral Intention and System Use. However, Infrastructure Availability and Non-Technical Facilitating Conditions were added to reflect Ugandan ICT context. This amended UTAUT model was used to carry out the survey. The questionnaire was emailed to 220 government employees in the fields of ICT, Tour and Travel, Environmental Groups officials and Farmers who garden near the game reserves. A total of 133 were obtained fully completed, whereas 127 were deemed usable thus yielding a response rate of 58%. The analysis results show that except for non-technical facilitating conditions, effort expectancy, peer influence, performance expectancy and infrastructure availability positively affects behavioral Intention to use GIS/GPS-GT. This indicates that people in Uganda don't bother about regulations and rules in regard to using information system. As long as the system does what they want it to, anything else does not matter. As an employee in an organization is told to use a system by their supervisor, they have no objection to otherwise they risk losing their job. This implies that, supervisors have a great responsibility in the process of developing, implementing and using the system in Uganda.

• Journal of Information Technology Services
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• v.16 no.2
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• pp.21-32
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• 2017

This study analyzes the variable consumer characteristics that influence the intention to use online product reviews. In online e-commerce, where purchases take place without consumers seeing the products in person, the product reviews left by other consumers who have already purchased the product are believed to be valuable information. However, when different consumers read the same product review, their responses to it may vary. This study analyzes the characteristics of consumers who utilize product reviews for their purchases. Consumer characteristics are categorized into personal information, personality, purchasing tendency, and experience related to product reviews. These factors are examined to see if they have direct or indirect effects on a consumer's intention to use product reviews when making online purchases. We surveyed a total of 240 consumers who had experience using e-commerce and knew about online product reviews. Once the data was collected, path analysis was conducted using the statistics tool AMOS. The study results reveal that consumers who are female, extroverted, and have higher price sensitivity think that product reviews left by others are useful, and that this "perceived usefulness" has a positive effect on the intention to use product reviews for making online purchasing decisions. In addition, consumers who are agreeable to others, have high brand sensitivity, and who have left numerous reviews themselves demonstrated the tendency to trust reviews left by others more. Thus, we conclude that this "perceived reliability" makes it more likely that a consumer will use product reviews when making online purchasing decisions. Future research can be done to develop this study further by analyzing whether providing online product reviews corresponding to the personal characteristics of consumers enhances the effect of product reviews on online purchasing decisions.

• The Journal of Society for e-Business Studies
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• v.15 no.1
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• pp.173-189
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• 2010

This study empirically explores the relationship among knowledge management success factors (leadership, organizational culture, information technology, measurement, incentive, knowledge quality), knowledge management activities(knowledge creation and knowledge use), and task performance in disaster management area. Findings suggest that (1) organization culture, information technology, incentive and quality of knowledge are significantly related to knowledge creation activities while leadership, information technology, incentive and quality of knowledge are significantly related to knowledge use activities, (2) higher level of knowledge creation is related to high level of knowledge use, and (3) the level of knowledge use activities seems to be significantly related to task performance in disaster management, while knowledge creation activities are not.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.10a
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• pp.98-101
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• 2009

Recently, there is use of the vehicle network for vehicle diagnostic method and Increased use of the vehicle protocol such as (CAN(Controller Area Network), MOST, LIN, FlexRay), Distributed control and data about the vehicle are being sought methods for real-time observation and monitoring and trend tends to have gone into this. In this case of automotive diagnostic module in today, there is Primarily to use DLC(Data Link Connector)Connector called self-check terminal. Generally, vehicle Diagnoses to use DLC Connector such as OBD2(On Board Diagnostics) Through Diagnostic Module(scanner). But there limit diagnostic as engine and powertrain part, and not consider user's perspective In this paper, By designing Vehicle diagnostic monitoring system using Ethernet Port, transmit and Receives CAN protocol vehicle data, and implement Easily monitoring system that provide and Diagnoses to provide vehicle's state and information to use PC.

• Asia-Pacific Journal of Business
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• v.13 no.3
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• pp.293-309
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• 2022

Purpose - The purpose of this study is to explore the possibility of predicting the degree of smartphone overdependence based on mobile phone usage patterns. Design/methodology/approach - In this study, a survey conducted by Korea Internet and Security Agency(KISA) called "problematic smartphone use survey" was analyzed. The survey consists of 180 questions, and data were collected from 29,712 participants. Based on the data on the smartphone usage pattern obtained through the questionnaire, the smartphone addiction level was predicted using machine learning techniques. k-NN, gradient boosting, XGBoost, CatBoost, AdaBoost and random forest algorithms were employed. Findings - First, while various factors together influence the smartphone overdependence level, the results show that all machine learning techniques perform well to predict the smartphone overdependence level. Especially, we focus on the features which can be obtained from the smartphone log data (without psychological factors). It means that our results can be a basis for diagnostic programs to detect problematic smartphone use. Second, the results show that information on users' age, marriage and smartphone usage patterns can be used as predictors to determine whether users are addicted to smartphones. Other demographic characteristics such as sex or region did not appear to significantly affect smartphone overdependence levels. Research implications or Originality - While there are some studies that predict smartphone overdependence level using machine learning techniques, but the studies only present algorithm performance based on survey data. In this study, based on the information gain measure, questions that have more influence on the smartphone overdependence level are presented, and the performance of algorithms according to the questions is compared. Through the results of this study, it is shown that smartphone overdependence level can be predicted with less information if questions about smartphone use are given appropriately.

• Journal of Digital Convergence
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• v.12 no.4
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• pp.75-84
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• 2014

MVNO(Mobile Virtual Network Operator) promotes service competition in mobile telecommunication market and provides various service and opportunities for consumers. This study attempts to identify MVNO Service users' motivational and dissatisfying factors in relation to their willingness for continued use of the service 새 activate MVNO service. Use motivation factors are found as customer service, user interface, easiness, economical efficiency, and dissatisfying factors are handset quality, customer service, social influence. Economic efficiency factor had an affirmative influence on the sustained use motivation of the service users. Among dissatisfying factors, users had a negative influence when they recognize that their neighboring people does not use MVNO service. Policy authorities concerned must excavate a new plan to improve distribution structure of handset and reduce wholesaling cost of the MVNO service. It is necessary for MVNO service provider to develop a new business model so that users can recognize MVNO service not as inferior service but as rational and attractive service.

• Korean journal of communication and information
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• v.31
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• pp.327-354
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• 2005

This study deals with current use of e-books through a survey of e-book audiences and a diagnosis of the development perspective of e-book audiences. In addition, we present some effective methods to promote e-books in the future. The study shows that e-book users have increased. However, e-books are not well-known to the audience. Mainly, audiences use free web sites; consequently, the use of e-books is not well-promoted. Whether people have used e-books is statistically significant in the pattern of their use and e-book audiences prospect that the future of e-books is brighter than paper books. However, people who have used e-books prospect the brighter future for e-books than people who have never used them. Therefore, we should reconsider the accessibility to e-books, promote publicity, research the reliability of the contents, reduce the price, develop various contents, change layout for better readability, and develop the screen for the less eye fatigue to promote e-books.