• International Journal of Computer Science & Network Security
• /
• v.23 no.12
• /
• pp.225-234
• /
• 2023

In this era of information and communication technology (ICT), tremendous improvements have been witnessed in our daily lives. The impact of these technologies is subjective and negative or positive. For instance, ICT has brought a lot of ease and versatility in our lifestyles, on the other hand, its excessive use brings around issues related to physical and mental health etc. In this study, we are bridging these both aspects by proposing the idea of AI based mental healthcare (AIMS). In this regard, we aim to provide a platform where the patient can register to the system and take consultancy by providing their assessment by means of a chatbot. The chatbot will send the gathered information to the machine learning block. The machine learning model is already trained and predicts whether the patient needs a treatment by classifying him/her based on the assessment. This information is provided to the mental health practitioner (doctor, psychologist, psychiatrist, or therapist) as clinical decision support. Eventually, the practitioner will provide his/her suggestions to the patient via the proposed system. Additionally, the proposed system prioritizes care, support, privacy, and patient autonomy, all while using a friendly chatbot interface. By using technology like natural language processing and machine learning, the system can predict a patient's condition and recommend the right professional for further help, including in-person appointments if necessary. This not only raises awareness about mental health but also makes it easier for patients to start therapy.

• International Journal of Computer Science & Network Security
• /
• v.23 no.6
• /
• pp.77-83
• /
• 2023

This research is conducted to minimize the potential security risks of conducting online exams to an acceptable level as vulnerabilities and threats to this type of exam are presented. This paper provides a general structure for the risk management process and some recommendations for increasing the level of security.

• International Journal of Computer Science & Network Security
• /
• v.22 no.3
• /
• pp.173-182
• /
• 2022

Healthcare organizations are overwhelmingly embracing smart value-based care strategies, which focuses on providing superior treatment at a significantly lower cost and quality of service (QoS). For these purposes, fifth generation (5G) of mobile service provides an innumerable improvement that clearly outperforms previous generations e.g., 3G and 4G. However, as with most advancements, 5G is projected to introduce new challenges, prompting the community to think about what comes next. This research was conducted to examine the most recent smart 5G technology applications and the solutions they provide to the healthcare industry. Finally, the paper discusses how the upcoming 6G technology has the potential to transform the future of healthcare sector even beyond the current 5G systems.

• International Journal of Computer Science & Network Security
• /
• v.23 no.6
• /
• pp.91-98
• /
• 2023

The rapid increase in the use of new technology known as 'blockchain technologies' has addressed many challenges in different areas and provided benefits to users, in this paper we discuss the field of supply chains, improve confidence and transparency between participants and stakeholders significantly also in this paper we Compare between different blockchain frameworks focusing on most popular frameworks. Moreover, we proposed a model in the supply chain using a blockchain framework, the proposed supply chain model included many different resources that help to exchange information over the network. The proposed model also includes smart contracts that maintain all rules for transactions. using blockchain technology information such as transaction details, time and money are recorded and stored within the system from the beginning of the transaction entry.

• International Journal of Computer Science & Network Security
• /
• v.23 no.6
• /
• pp.17-26
• /
• 2023

Blockchain technology has emerged as one of the most crucial solutions in numerous industries, including healthcare. The combination of blockchain technology and cloud computing results in improving access to high-quality telemedicine and healthcare services. In addition to developments in healthcare, the operational strategy outlined in Vision 2030 is extremely essential to the improvement of the standard of healthcare in Saudi Arabia. The purpose of this survey is to give a thorough analysis of the current state of healthcare technologies that are based on blockchain and cloud computing. We highlight some of the unanswered research questions in this rapidly expanding area and provide some context for them. Furthermore, we demonstrate how blockchain technology can completely alter the medical field and keep health records private; how medical jobs can detect the most critical, dangerous errors with blockchain industries. As it contributes to develop concerns about data manipulation and allows for a new kind of secure data storage pattern to be implemented in healthcare especially in telemedicine fields is discussed diagrammatically.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2004.05a
• /
• pp.405-408
• /
• 2004

기업 환경의 변화에 의해 비즈니스 프로세스는 변경되며, 따라서 워크플로우와 이에 영향을 받는 요소들의 변경도 수반된다. 이때 워크플로우 관리시스템(WfMS)이 워크플로우의 변경에 따라 영향을 받는 요소를 예측하고 동적으로 변경하는 것은 어려운 문제이다. 이를 위해 본 논문에서는 Enterprise 온톨러지를 활용하여 워크플로우 변경 시 영향을 받는 요소를 예측해 보았다

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.5 no.1
• /
• pp.211-227
• /
• 2011

Content Based Image Retrieval (CBIR) is an approach for retrieving similar images from an image database based on automatically-derived image features. The quality of a retrieval system depends on the features used to describe image content. In this paper, we propose an image clustering system that takes a database of images as input and clusters them using k-means clustering algorithm taking into consideration color, texture and shape features. Experimental results show that the combination of the three features brings about higher values of accuracy and precision.

• Journal of The Korean Association of Information Education
• /
• v.1 no.2
• /
• pp.84-100
• /
• 1997

All technology has both intended and unintended effects, we have said, and information technology is no exception. Information technology offers a number of challenges: those of computer education, computer literacy, the ethical and societal impacts of computing and communication systems. Current computer education focuses primarily on the history, parts and usage of a computer, and programming, it does not fully include the moral standards or ethics that help guide behavior and conduct for citizens of Information society. The purpose of this study is to review of the theoretical issues and societal impacts of computers, communication systems and computer ethics; then, to nalyse current curriculum and content of school computer education in Korea: finally, to develop a possible course in computer ethics containing a goal statement and aspects of computer literacy. Contents in computer ethics covers issues of nettiquette, privacy, health, copyright-related software and network piracy, computer crime and viruses. Six suggestions are made for the computer ethics of Information Age in the conclusion.

• International Journal of Computer Science & Network Security
• /
• v.24 no.2
• /
• pp.15-24
• /
• 2024

One of the most significant issues in combinatorial optimization is the classical NP-complete conundrum known as the 0/1 Knapsack Problem. This study delves deeply into the investigation of practical solutions, emphasizing two classic algorithmic paradigms, brute force, and dynamic programming, along with the metaheuristic and nature-inspired family algorithm known as the Genetic Algorithm (GA). The research begins with a thorough analysis of the dynamic programming technique, utilizing its ability to handle overlapping subproblems and an ideal substructure. We evaluate the benefits of dynamic programming in the context of the 0/1 Knapsack Problem by carefully dissecting its nuances in contrast to GA. Simultaneously, the study examines the brute force algorithm, a simple yet comprehensive method compared to Branch & Bound. This strategy entails investigating every potential combination, offering a starting point for comparison with more advanced techniques. The paper explores the computational complexity of the brute force approach, highlighting its limitations and usefulness in resolving the 0/1 Knapsack Problem in contrast to the set above of algorithms.

• Annual Conference on Human and Language Technology
• /
• 2003.10d
• /
• pp.54-60
• /
• 2003

음차 표기된 외래어로부터 원어를 복원하는 문제는 원어의 발음정보를 이용한 통계적인 방법을 많이 사용한다. 하지만 지금까지의 연구들은 대부분 영어단어만을 그 대상으로 하였기 때문에 '도쿄(Tokyo)', '하인리히(Hinrich)'와 같이 어원이 영어가 아닌 단어들의 복원에는 좋은 결과를 보여주지 못했다. 이러한 문제를 해결하기 위하여 한글로 표기된 외래어의 어원을 판단할 수 있는 방법을 찾아내고, 이 방법을 통해 외래어를 어원별로 분리하여 학습모델을 구축함으로써 다양한 어원을 가진 외래어들의 복원 정확률을 높이고자 하였다. 위의 방식으로 구현된 시스템은 영어, 일본어, 중국어, 프랑스어의, 서로 다른 4개의 어원을 가진 데이터의 복원 실험에서 기존의 방식에 비해 13%의 성능 향상을 보였다.