• Title/Summary/Keyword: Security Importance

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Electronic Questionnaire of Organizational Citizenship, Job Satisfaction and Their Relationship to Performance Quality for Physical Education Teachers in the Western Region - KSA

  • Hesham Sayed Ahmed Abdalfatah
    • International Journal of Computer Science & Network Security
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    • v.23 no.2
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    • pp.227-236
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    • 2023
  • The research aims to identify the degree of the organizational citizenship, satisfaction and performance quality of the teachers and relationship between organizational citizenship, job satisfaction and performance quality for physical education teachers . The researcher used the descriptive method, The participants were (195) teachers. The researcher conducted the research main study in the period from 05/12/2022 to 30/12/2022 use the website to distribute and collect the questionnaire: https://www.surveymonkey.com. The researcher used the computer in the statistical processing, using the SPSS statistical program, and the following methods: Mean, SD, percentages, Correlation Coefficient, Alpha Cronbach coefficient, differences Indicator using chi2 . Conclusions: There is high degree of organizational citizenship behavior practices, job satisfaction and performance quality for some teachers at the schools. Recommendation the importance of enhancing the organizational citizenship behavior in schools, according to the positive effects of these behaviors on the individual and group performances.

The Impact of Applications of Internet of Things on Practice of Knowledge Management in Organizations: the Mediating Role of Employees' Engagement

  • Hisham O., Mbaidin
    • International Journal of Computer Science & Network Security
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    • v.22 no.12
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    • pp.19-28
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    • 2022
  • The study aimed to identify the impact of Applications of Internet of things on practice of knowledge management in organizations: the mediating role of employees' Engagement. A quantitative questionnaire survey is conducted. The study population consisted of all senior and middle administrations in small and medium enterprises in Jordan. The study sample consisted of (350) senior and middle administrations. The study sample was selected by random stratified method. The results revealed that There is an impact of Applications of Internet of things on the practice of knowledge management at (α ≤ 0.05) in the small and medium enterprises in Jordan. Furthermore, there is an impact of Applications of Internet of things on the employees' Engagement. The current study provided some important insights into an issue that requires further research. Understanding the applications of the Internet of Things and their impact on improving knowledge management is of paramount importance in raising the quality of products and improving the company's image, as shown in this research.

Speech Emotion Recognition with SVM, KNN and DSVM

  • Hadhami Aouani ;Yassine Ben Ayed
    • International Journal of Computer Science & Network Security
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    • v.23 no.8
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    • pp.40-48
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    • 2023
  • Speech Emotions recognition has become the active research theme in speech processing and in applications based on human-machine interaction. In this work, our system is a two-stage approach, namely feature extraction and classification engine. Firstly, two sets of feature are investigated which are: the first one is extracting only 13 Mel-frequency Cepstral Coefficient (MFCC) from emotional speech samples and the second one is applying features fusions between the three features: Zero Crossing Rate (ZCR), Teager Energy Operator (TEO), and Harmonic to Noise Rate (HNR) and MFCC features. Secondly, we use two types of classification techniques which are: the Support Vector Machines (SVM) and the k-Nearest Neighbor (k-NN) to show the performance between them. Besides that, we investigate the importance of the recent advances in machine learning including the deep kernel learning. A large set of experiments are conducted on Surrey Audio-Visual Expressed Emotion (SAVEE) dataset for seven emotions. The results of our experiments showed given good accuracy compared with the previous studies.

Graphene Reconfigurable Antenna for GPS and Iridium Applications

  • Salem GAHGOUH;Ali GHARSALLAH
    • International Journal of Computer Science & Network Security
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    • v.23 no.3
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    • pp.203-207
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    • 2023
  • A frequency reconfigurable antenna based on graphene and used for multi-band wireless communications is presented in this article. The proposed antenna, which consists of two radiating rectangular loops with a graphene extension, is analyzed for Global Positioning System (GPS) and Iridium applications. Its operating frequency is tuned through the implementation of a layer of graphene and thereby adjusting the applied gate bias. Furthermore, the results show a novel use of graphene for microwave frequencies while achieving a frequency reconfiguration with an improvement of the impedance matching and the gain. The results also prove the importance of graphene, with its exceptional properties, for a promising future in nano-electronics.

Frequency Matrix Based Summaries of Negative and Positive Reviews

  • Almuhannad Sulaiman Alorfi
    • International Journal of Computer Science & Network Security
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    • v.23 no.3
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    • pp.101-109
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    • 2023
  • This paper discusses the use of sentiment analysis and text summarization techniques to extract valuable information from the large volume of user-generated content such as reviews, comments, and feedback on online platforms and social media. The paper highlights the effectiveness of sentiment analysis in identifying positive and negative reviews and the importance of summarizing such text to facilitate comprehension and convey essential findings to readers. The proposed work focuses on summarizing all positive and negative reviews to enhance product quality, and the performance of the generated summaries is measured using ROUGE scores. The results show promising outcomes for the developed methods in summarizing user-generated content.

COLORNET: Importance of Color Spaces in Content based Image Retrieval

  • Judy Gateri;Richard Rimiru;Micheal Kimwele
    • International Journal of Computer Science & Network Security
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    • v.23 no.5
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    • pp.33-40
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    • 2023
  • The mainstay of current image recovery frameworks is Content-Based Image Retrieval (CBIR). The most distinctive retrieval method involves the submission of an image query, after which the system extracts visual characteristics such as shape, color, and texture from the images. Most of the techniques use RGB color space to extract and classify images as it is the default color space of the images when those techniques fail to change the color space of the images. To determine the most effective color space for retrieving images, this research discusses the transformation of RGB to different color spaces, feature extraction, and usage of Convolutional Neural Networks for retrieval.

Data Visualization and Visual Data Analytics in ITSM

  • Donia Y. Badawood
    • International Journal of Computer Science & Network Security
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    • v.23 no.6
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    • pp.68-76
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    • 2023
  • Nowadays, the power of data analytics in general and visual data analytics, in particular, have been proven to be an important area that would help development in any domain. Many well-known IT services best practices have touched on the importance of data analytics and visualization and what it can offer to information technology service management. Yet, little research exists that summarises what is already there and what can be done to utilise further the power of data analytics and visualization in this domain. This paper is divided into two main parts. First, a number of IT service management tools have been summarised with a focus on the data analytics and visualization features in each of them. Second, interviews with five senior IT managers have been conducted to further understand the usage of these features in their organisations and the barriers to fully benefit from them. It was found that the main barriers include a lack of good understanding of some visualization design principles, poor data quality, and limited application of the technology and shortage in data analytics and visualization expertise.

A Study on the Importance Classification of Semiconductor Technical Documents Using Knowledge Graphs and Embedding Models (임베딩 모델과 지식맵 분석을 활용한 반도체 기술문서 중요도 분류에 관한 연구)

  • Hong, Giwan;Chang, Hangbae
    • Annual Conference of KIPS
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    • 2021.11a
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    • pp.288-289
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    • 2021
  • 4차산업혁명과 함께 기존 산업구조가 급속하게 변화하고 기술패권주의가 심화되면서, 기술 패권의 승패에 따라 국가의 글로벌 경쟁력이 크게 좌우된다. 세계 주요국들은 기술경쟁력 확보를 위해 기술혁신과 기술연대의 경쟁을 벌이고 있고, 우리나라도 이러한 동향 속에서 적극적인 R&D 연구 투자와 정책적 지원을 통해 미래 산업 분야의 기술경쟁력 확보를 위해 노력하고 있다. 현재 중국에 의한 기술 탈취나 인력 유출이 발생하고 있고, 이는 산업경쟁력 상실로 이어져 막대한 경제적 피해를 야기할 수 있다. 기술경쟁력을 잃지 않기 위해, 반드시 우리의 산업기술 보호 수단도 마련되어야 한다. 선제적으로 중요한 산업기술을 적절히 식별하여 중요도에 따라 보호수단을 이행하는 것이 산업기술 보호의 시작일 것이다. 이에 따라, 본 논문에서는 지식그래프와 임베딩 모델을 활용하여 우리나라의 핵심산업분야 중 하나인 반도체 분야의 기술문서를 중요도에 따라 수직적으로 분류할 수 있는 방안에 대해 연구하고자 한다.

The Use of Electronic Educational Resources in Training Future Specialists in Higher Education Institutions

  • Olha Karaman;Olha Duke;Volodymyr Shkavro;Olena Polinok;Nataliia Didenko
    • International Journal of Computer Science & Network Security
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    • v.24 no.4
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    • pp.135-140
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    • 2024
  • The main purpose of the study is to determine the key aspects of the use of electronic educational resources in the training of future specialists in higher education institutions. The importance of using electronic educational resources in the preparation of university students is proven. The relevance of the chosen topic is due to the high rise of globalization in the process of training future specialists in higher education institutions. The theoretical and methodological basis of the article is the fundamental and modern provisions of the theory, the work of scientists and specialists in the management of electronic educational resources in the field of education. Based on the results of the analysis, the main characterizing aspects of the use of electronic educational resources in the training of future specialists in higher education institutions were identified. Further research needs to analyze new, experimental electronic means in the system of student training.

The Evolution of Drone and Air Defense Technologies: Implications for the Future Battlefield

  • Kim Seung-Hyun
    • International Journal of Advanced Culture Technology
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    • v.12 no.2
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    • pp.286-298
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    • 2024
  • The rapid advancement of drone technology has significantly altered the landscape of modern warfare, presenting both opportunities and challenges for military forces worldwide. As drones become increasingly sophisticated, capable of performing complex missions such as reconnaissance, surveillance, and precision strikes, the development of effective air defense systems has become a critical priority. This study examines the current state of drone and air defense technologies, analyzing their impact on military strategies, tactics, and the future battlefield environment. By exploring the patterns of technological evolution, the limitations of existing air defense systems, and the potential consequences of drone proliferation, this research highlights the need for adaptive, innovative approaches to counter emerging threats. The findings underscore the importance of investing in advanced detection and interception capabilities, developing comprehensive counter-drone doctrines, and fostering international cooperation to address the ethical and legal challenges posed by the military use of drones. As the competition between drone and air defense technologies continues to intensify, policymakers and military leaders must proactively engage in shaping the future of warfare to ensure national security and stability in an increasingly complex world.