• 지식경영연구
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• 제18권3호
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• pp.181-199
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• 2017

Recently, the Fintech industry is growing rapidly, and mobile payment service plays a key role in this growth. The purpose of this study is to investigate factors affecting initial acceptance of mobile payment service using Technology Acceptance Model. In the research model, service-related factors such as economic efficiency and security, user-related factors such as user innovativeness and social factors such as social influence were adopted as external variables, and acceptance intention was introduced as dependent variable. Perceived usefulness and perceived ease of use were selected as mediating variables. The collected data were analyzed using SPSS Statistics v22 and Smart PLS 2.0. The results of the study are as follows. First, service-related factors such as economic efficiency and security did not affect the user acceptance intention. Second, individual innovativeness and social influence have significant effects on perceived usefulness and perceived ease of use respectively. And the perceived usefulness and perceived ease of use, which are mediators, have a significant influence on the acceptance intention of mobile payment service. The results of this study will serve as a useful guide for Fintech industries.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2001년도 춘계학술발표논문집 (하)
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• pp.1113-1116
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• 2001

최근 컴퓨터 및 컴퓨터 통신의 발달은 서로 다른 플랫폼에 접근할 수 있는 기회를 증가시키고 있으며, 이와 더불어 새로운 하드웨어 및 운영 체제의 지속적인 출현은 멀티플랫폼 소프트웨어에 대한 요구를 증가 시켜왔다. 따라서 프로그래머는 새로운 소프트웨어를 개발하거나 기존의 소프트웨어를 포팅할 때, 멀티플랫폼에서의 실행을 염두에 두어야 하는데 이를 위한 도구의 설계 및 프로토타입 구현[11]에 대해서 이미 소개한 바 있다. 본 논문에서는 기존의 GNU 시스템 도구들과 연계되어 개발된 이 포터블 프로그래밍 도구를 활용하여 멀티플랫폼 소프트웨어를 제작하는 단계를 서술하고 이 때 우리의 도구가 어떤 역할을 하는지에 대해서 논한다.

• 디지털산업정보학회논문지
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• 제16권1호
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• pp.99-109
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• 2020

In the past, conservative concepts have been applied in terms of the characteristic of nuclear power plants(NPPs), resulting in analog-based equipment and closed networks. However, as digital technology has recently been applied to the design, digital-based facilities and communication networks have been used in nuclear power plants, increasing the risk of cybersecurity than using analog-based facilities. Nuclear power plant facilities are divided into a safety system and a non-safety system. It is essential to identify the difference and cope with cybersecurity threats to the safety system according to its characteristics. In this paper, we examine the cybersecurity regulatory guidelines for safety systems in nuclear power plant facilities. Also, we analyze cybersecurity threats to a programmable logic controller of the safety system and suggest cybersecurity requirements be applied to it to respond to the threats. By implementing security functions suitable for the programmable logic controller according to the suggested cybersecurity requirements, regulatory guidelines can be satisfied, and security functions can be extended according to other system requirements. Also, it can effectively cope with cybersecurity attacks that may occur during the operation of nuclear power plants.

• International Journal of Computer Science & Network Security
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• 제21권8호
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• pp.161-166
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• 2021

The term parking management system usually refers to the custom built hardware intensive systems installed in building and malls. However, there are many places where such expensive solutions cannot be installed due to various reasons, like cost and urgent/temporary setup requirements. This project focuses on developing a parking management system based on image processing to detect vacant parking slot in an area where automated systems are not installed. Camera images of the parking area are subjected to image processing algorithm which marks virtual slots in the area and extracts occupancy information to guide the incoming drivers about availability and position of vacant spaces. The application consists of two interfaces: one for the guidance of the incoming drivers and the other one for the administrator. The later interface also informs the administrator if a car is not parked properly in the virtual slot. This parking system would reduce the stress and time wastage associated with car parking and would make the management of such areas less costly.

• The Journal of Asian Finance, Economics and Business
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• 제8권7호
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• pp.545-556
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• 2021

The financial technology sector is now growing rapidly all over the world, and it has improved the banking system efficiency and customer experience. This research study attempts explicitly to explore the consumer acceptance attitude of FinTech and its products in Pakistan. Technology Acceptance Model was used to assess the entire variable associated with the consumer attitude to adopt new technology. Based on a survey conducted from Pakistan data and by employing the multiple regression analysis, this study proves that the risk involved in FinTech products and services results in less usage of financial technology. The findings of the study also show that the risk should be reduced if banks and other institutes that are involved in financial transactions online must provide security. Moreover, customers are not willing to pay an extra amount for using financial technology. It argues that usefulness helps to change the attitude of banking customers to use financial technology. The attitudes of the customers have a positive relationship with the adoption of financial technology. These results also help guide financial institutions to enhance the adoption of FinTech products. User attitudes must be changed by providing users with more security, less risky applications, and cost-effective products.

• International Journal of Computer Science & Network Security
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• 제21권2호
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• pp.205-211
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• 2021

Plants are important for humanity. They intervene in several areas of human life: medicine, nutrition, cosmetics, decoration, etc. The large number of varieties of these plants requires an efficient solution to identify them for proper use. The ease of recognition of these plants undoubtedly depends on the classification of these species into family; however, finding the relevant characteristics to achieve better automatic classification is still a huge challenge for researchers in the field. In this paper, we have developed a new automatic plant classification technique based on artificial neural networks. Our model uses leaf texture characteristics as parameters for plant family identification. The results of our model gave a perfect classification of three plant families of the Ivorian flora, with a determination coefficient (R2) of 0.99; an error rate (RMSE) of 1.348e-14, a sensitivity of 84.85%, a specificity of 100%, a precision of 100% and an accuracy (Accuracy) of 100%. The same technique was applied on Flavia: the international basis of plants and showed a perfect identification regression (R2) of 0.98, an error rate (RMSE) of 1.136e-14, a sensitivity of 84.85%, a specificity of 100%, a precision of 100% and a trueness (Accuracy) of 100%. These results show that our technique is efficient and can guide the botanist to establish a model for many plants to avoid identification problems.

• International Journal of Computer Science & Network Security
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• 제21권4호
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• pp.1-8
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• 2021

The subject of navigation has drawn a large interest in the last few years. Navigation problem (or path planning) finds the path between two points, source location and destination location. In smart cities, solving navigation problem is essential to all residents and visitors of such cities to guide them to move easily between locations. Also, the navigation problem is very important in case of moving robots that move around the city or part of it to get some certain tasks done such as delivering packages, delivering food, etc. In either case, solution to the navigation is essential. The core to navigation systems is the navigation algorithms they employ. Navigation algorithms can be classified into navigation algorithms that depend on maps and navigation without the use of maps. The map contains all available routes and its directions. In this proposal, we consider the first class. In this paper, we are interested in getting path planning solutions very fast. In doing so, we employ a parallel platform, Reconfigurable mesh (R-Mesh), to compute the path from source location to destination location. R-Mesh is a parallel platform that has very fast solutions to many problems and can be deployed in moving vehicles and moving robots. This paper presents two algorithms for path planning. The first assumes maps with linear streets. The second considers maps with branching streets. In both algorithms, the quality of the path is evaluated in terms of the length of the path and the number of turns in the path.

• International Journal of Computer Science & Network Security
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• 제22권1호
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• pp.225-233
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• 2022

The recent outbreak of corona virus (COVID-19) infectious disease had made its forecasting critical cornerstones in most scientific studies. This study adopts a machine learning based time series model - Auto Regressive Integrated Moving Average (ARIMA) model to forecast COVID-19 confirmed cases in Botswana over 60 days period. Findings of the study show that COVID-19 confirmed cases in Botswana are steadily rising in a steep upward trend with random fluctuations. This trend can also be described effectively using an additive model when scrutinized in Seasonal Trend Decomposition method by Loess. In selecting the best fit ARIMA model, a Grid Search Algorithm was developed with python language and was used to optimize an Akaike Information Criterion (AIC) metric. The best fit ARIMA model was determined at ARIMA (5, 1, 1), which depicted the least AIC score of 3885.091. Results of the study proved that ARIMA model can be useful in generating reliable and volatile forecasts that can used to guide on understanding of the future spread of infectious diseases or pandemics. Most significantly, findings of the study are expected to raise social awareness to disease monitoring institutions and government regulatory bodies where it can be used to support strategic health decisions and initiate policy improvement for better management of the COVID-19 pandemic.

• 한국방재안전학회논문집
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• 제15권1호
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• pp.23-34
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• 2022

유독성 물질로 인한 환경오염사고 방지 및 수환경 보호를 위해 정부에서는 완충저류시설의 설치를 제도적으로 추진하고 있다. 완충저류시설은 사고유출수 및 초기우수를 저류하여 수질오염을 방지하는 긍정적인 역할에도 불구하고 관련연구 및 시설의 설계를 위한 구체적인 가이드 라인은 부족한 실정이다. 본 연구에서는 완충저류시설 설계 도서를 분석하여 어떠한 항목을 설계에 반영하였는지 분석하였다. 분석결과를 바탕으로 설계항목을 도출하고, 완충저류시설 관계자의 의견을 반영하여 완충저류시설의 설계에 필요한 항목을 제안하였다.

• 한국융합학회논문지
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• 제11권10호
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• pp.37-44
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• 2020

최근 COVID 19 팬데믹 현상으로 공공기관의 재택근무가 활성화 되고 있는 상황으로 공공기관에서의 업무는 시간과 공간의 제약이 사라지는 스마트워크 업무 환경으로 급변하고 있다. 하지만 현재 상당수의 공공기관은 인터넷망과 업무망을 분리하는 물리적 망분리 시스템으로 인해서 효율적인 스마트워크 업무환경을 위한 보안모델이 미흡한 상황이다. 이에, 본 논문에서는 공공기관의 물리적 망분리 환경에서 스마트워크를 구현하기 위한 현재의 한계를 기술하고 이를 보완하기 위한 업무환경에 필요한 보안 모델을 제안하고자 한다. 관련 연구로 SSL VPN에 대하여 설명하고 SSL VPN의 보안 한계를 극복하기 위한 SDP(Software Defined Perimeter), RDP(Remote Desktop Protocol), VDI(Virtual Desktop Infrastructure)의 보안 모델 연구를 통해서 스마트워크 업무 모델을 설명함으로써 물리적 망분리 보안 가이드를 준수하면서 공공기관에 적합한 스마트워크 환경 보안모델 방안을 제시하고자 한다.