• International Journal of Computer Science & Network Security
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• v.23 no.12
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• pp.115-122
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• 2023

Makkah Al-Mukarramah is the capital of Islamic world. It receives special attention from the Saudi government's rulers to transform it into a smart city for the benefit of millions of pilgrims. One of the 2030 vision objectives is to transform specific cities to smart ones with advanced technological facilitation, Makkah is one of these cities. The history of Makkah is not well known for some Muslims. As a result, we built the concepts of our application "Ain Makkah" to enable visitors of Makkah to know the history of Makkah by using technology. In particular "Ain Makkah" uses Augmented Reality to view the history of Al-Kaaba. A 3D model will overlay Al-Kaaba to show it in the last years. Our project will use Augmented Reality to build a 3D model to overlay Al-Kaaba. Future work will expand the number of historical landmarks of Makkah.

• International Journal of Computer Science & Network Security
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• v.22 no.2
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• pp.199-208
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• 2022

The world health organization classified the emerging coronavirus (known as Covid-19) as a pandemic after confirming the extent of spread and scale. As a matter of fact, outbreaks of similar scale or even worse have been witnessed throughout history. Thus, the development of prevention strategies exists to protect against such calamaties. One of the widely proven measures that controls the spread of any contagious diseases is social distancing. As a result, this paper will demonstrate the concept of an application "Be Aware" on enabling the implementation of this preventive measure. In particular "Be aware" evaluates the extent of congestion in public places using current time data. The proposed project will use Global Positioning System (GPS), and Application Programming Interface (API), to ensure information accuracy, and the API use Crowdsourcing to collect Real-Time Data (RTD) from the selected places. One line

• International Journal of Computer Science & Network Security
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• v.24 no.8
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• pp.125-134
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• 2024

With the great development of technology in all fields these days, including the financial field, people have gone into cryptocurrency trading, without prior knowledge or experience, which made them prey and coveted by hackers through phishing attacks. Therefore, we will study cases where people can be a victim of phishing because cryptocurrency occurs without an intermediary, such as banks and monetary institutions. It is a form of peer-to-peer transaction, physical wallets, and fake investing. This study aims to know the concept of a phishing attack on cryptocurrencies, and to measure the extent of peoples awareness of the security risks on these currencies. Previous literature will be reviewed, and a questionnaire will be published on traders who use cryptocurrency trading platforms, and then we collect data and analyze the answers provided, so that we can suggest educational solutions to these phishing problems.

• International Journal of Computer Science & Network Security
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• v.25 no.5
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• pp.11-20
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• 2025

This study focuses on enhancing the accuracy of traffic sign detection systems for self-driving. With the increasing proliferation of autonomous vehicles, reliable detection and interpretation of traffic signs is crucial for road safety and efficiency. The primary goal of this research was to improve the performance of traffic sign detection, particularly in identifying unfamiliar signs and dealing with adverse weather conditions. We obtained a dataset of 3,480 images from Roboflow and utilized deep learning techniques, including Convolutional Neural Networks (CNNs) and algorithms such as YOLO and the Vision Engineering (VGG) toolkit. Unlike previous studies that focused on a single version of YOLO, this study conducted a comparative analysis of different deep-learning models, including YOLOv5, YOLOv8, and VGG-16. The study results show promising outcomes, with YOLOv5 achieving an accuracy of up to 94.2%, YOLOv8 reaching 95.3% accuracy, and VGG-16 outperforming the other techniques with an impressive 100% accuracy. These findings highlight the significant potential for future advancements in traffic sign detection systems, contributing to the ongoing efforts to enhance the safety and efficiency of autonomous driving technologies.

• Proceedings of the Korean Information Science Society Conference
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• 2007.10a
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• pp.11-12
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• 2007

• 제어로봇시스템학회:학술대회논문집
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• 1988.10a
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• pp.552-555
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• 1988

In this paper, the authors introduce the concepts of neural computer systems which have been studied over 25 years in other countries. And also we illustrate the models of neural networks suggested by researchers. Our fundamental hypothesis is that these models are applicable to the construction of artificial neural systems including neural computers. Therefore we assume that neural computer systems are abstract computer systems based on the computational properties of human brains and particularly well suited for problems in vision and language understanding.

• Proceedings of the Korean Society of Computer Information Conference
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• 2018.01a
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• pp.75-76
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• 2018

본 논문에서는 상품증권 거래 시스템에 블록체인을 적용하여, 여러 서비스에 거래 시스템을 적용할 수 있게 설계하였다. 블록체인 오픈소스 프레임워크인 Hyperledger를 사용하여 시스템의 안정성을 높였다. 단말기의 배터리 소모량과 네트워크 트래픽을 감소시키기 위한 방식으로 거래소를 적용하는 방법에 관해 기술하였다. 또한, 서드 파티 개발자가 플랫폼을 쉽게 구축할 수 있도록 API 구조를 설계하였다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2018.01a
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• pp.51-52
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• 2018

산업 현장에서 작업자의 잘못된 작업행동으로 인한 안전사고가 꾸준히 발생하고 있다. 현재는 관리자가 육안으로 작업자의 위험행동 여부를 관리하고 있지만, 모든 작업자를 관리자 한명이 관리하기에는 현실적으로 어려움이 있다. 본 논문에서는 이 문제를 해결하기 위해 고소 작업자의 안전벨트에 IoT 장치를 부착하여 행동 데이터를 클라우드에 업로드하고, 딥러닝을 통해 작업자 위험행동 여부를 분석한다. 분석한 결과를 관리자가 쉽게 모니터링 할 수 있도록 하여, 안전사고를 예방하도록 하는 시스템을 설계하였다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.07a
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• pp.253-254
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• 2019

본 논문에서는 딥러닝과 OpenCV를 이용해서 사람의 얼굴에서 나이 성별을 추출하고 추출된 데이터를 기반으로 야외에 설치된 디스플레이 광고를 맞춤형으로 제공한다 이를 통해 광고를 좀 더 효과적으로 사용할 수 있는 방안을 제공한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.07a
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• pp.249-250
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• 2019

사무적인 일을 문서로 송수신할 경우 팩시밀리를 이용한다. 이러한 팩시밀리는 전화선을 통해 쉽게 문서 송수신이 가능하지만 무차별한 광고 수신으로 인한 피해가 발생한다. 또한, 소규모 기업의 경우 즉각적인 팩스 확인이 불가능한 상황이 많다. 본 논문에서는 팩스 오픈 소스 SW인 HylaFAX를 기반으로 스마트 팩스 송수신 서비스 시스템을 구현하였다. 웹에서 팩스 문서 송수신이 가능하며, 수신받은 문서는 스팸 여부를 구별하여 스팸이 아닌 실제 전송된 문서를 수신한 경우에 사용자에게 알림을 준다. 또한, 수신한 문서는 클라우드에 업로드해 공유할 수 있다.