Archives

  • Towards Sustainable and Advanced Environmental Solutions
    Vol. 11 No. 9 (2024)

    The trajectory towards a sustainable future mandate the integration of advanced environmental solutions, particularly those harnessing the capabilities of artificial intelligence (AI). The profound impact of these solutions on sustainable environment monitoring cannot be overstated. Through the implementation of AI-driven technologies, we can attain unparalleled efficiency and accuracy in monitoring environmental parameters. These intelligent systems facilitate real-time data analysis, enabling swift responses to environmental challenges. Furthermore, AI enhances predictive modeling, contributing to proactive measures in environmental conservation. Embracing these innovative solutions not only addresses current environmental concerns but also establishes the groundwork for a more sustainable and resilient ecosystem.

  • AI-driven Solutions for Sustainable Environment Monitoring
    Vol. 10 No. 8 (2023)

    Artificial intelligence (AI) is poised to significantly impact every facet of human life in the coming years. Already, it stands at the forefront of driving groundbreaking technologies like Big Data, robotics, and the Internet of Things (IoT). As we look ahead, AI is projected to maintain its status as a prominent technological innovator for the foreseeable future. Presently, AI is revolutionizing the world's leading scientific communities and industries, bringing about transformative advancements and reshaping the way weapproach complex challenges. The pervasive influence of AI is set to shape a new era of possibilities, making it a central force in shaping the world's technological landscape. The challenges posed by climate change, pollution, and diminishing natural resources have highlighted the urgency to adopt more efficient and effective methods for monitoring and preserving our environment. In this pursuit, artificial intelligence (AI) has emerged as a game-changer, offering innovative solutions to enhance sustainable environment monitoring. By harnessing the power of AI-driven technologies, we have witnessed a remarkable transformation in data analysis, pattern recognition, and predictive modeling. These advancements have substantially improved the accuracy, scalability, and real-time capabilities of environmental monitoring systems, enabling us to make more informed decisions and take proactive measures to safeguard our ecosystems. In this paper, we delve into the crucial role of AI in sustainable environment monitoring and how its continued evolution is paving the way for a more resilient and sustainable future.

  • ISCSET2023

    Special Issue - Proceedings of ISCSET 2023
    Vol. 10 No. 7 (2023)

    This issue is the special issue for the proceedings of the international symposium on computer science, computer engineering and educational technologies (ISCSET 2023).

    The ISCSET 2023 held in Germany from 5th to 7th July, 2023.

  • Advanced Energy and Industrial IoT
    Vol. 10 No. 6 (2023)

    The Internet of Things (IoT) has been enforced in different industries, including the electrical sector and the broader industrial landscape. IoT offers immense potential for enhanced electrical system monitoring, control, and optimization by seamlessly connecting devices, sensors, and equipment to the Internet. This issue explores IoT's current realization and implementation in electrical and industrial sectors and its impact on them. Additionally, it delves into the crucial connection between IoT, relay protection, and automation, highlighting the benefits of this integration in terms of efficiency, reliability, and safety. Furthermore, this issue explores perspectives and adaptations of IoT in the energy and industry sectors. The realization of IoT in electrical systems and the industry sector holds significant promise. As IoT technology continues to evolve, it will enable the seamless integration of various components within electrical systems and industrial processes. This integration will lead to intelligent automation, streamlined workflows, and real-time decision-making, improving operational efficiency, productivity, and resource optimization. The convergence of IoT, electrical systems, and the industry sector will create an intelligent ecosystem that redefines traditional practices and establishes a foundation for sustainable growth and competitiveness.

  • ESS Vol 10 Iss5

    Applied AI Solutions on Edge Devices
    Vol. 10 No. 5 (2023)

    Traditionally, AI solutions were cloud- or high-performance computing platform-driven and demanded powerful hardware to perform deep-learning / machine learning computational tasks and scale resources effortlessly. However, this involved offloading data to external computing systems for additional computations, which degraded latency, led to higher communication costs, boosted energy consumption, and triggered privacy concerns. Moreover, Inference is a comparatively less computationally demanding task than training, in which latency is more significant in delivering real-time results for a model. The majority of inference is still performed in the cloud or on a dedicated server, but through the increasing diversity of AI applications, the centralized training and inference paradigm is being challenged.

  • Special Issue - Learner Centered Learning (LCL2022)
    Vol. 9 No. 4 (2022)

    The special issue is opened for proceedings of Learner Centered Learning (LCL 2022) workshop. Reviewed and accepted papers from LCL 2022 will publish online to this issue. Deadline of submission is 30.11.2022.

  • International Symposium on Computer Science and Educational Technology
    Vol. 9 No. 3 (2022)

    This issue is the special issue for proceedings of International Symposium on Computer Science and Educational Technology (ISCSET 2022).

    ISCSET 2022: 24th - 26th October, 2022; EMU Tashkent, Uzbekistan

  • Future Challenges in Automotive Research and Development
    Vol. 9 No. 2 (2022)

    This issue will cover different applications of automotive software engineering systems. Submission is open until end of November.

  • Advances in Smart Technologies and Applications
    Vol. 9 No. 1 (2022)

    This issue will cover different applications of smart technologies in embedded systems. Submission is open until end of June.

  • Towards Autonomous Driving using Vision Based Intelligent Systems
    Vol. 8 No. 2 (2021)

    This issue will cover problems and solutions for autonomous driving using vision based intelligent systems.

  • Intelligent Approaches for Smart Cities
    Vol. 8 No. 1 (2021)

    This issue will cover intelligent approaches for Smart Cities development.

  • Towards Robust Situation Awareness in Autonomous Vehicles
    Vol. 7 No. 2 (2020)

    Towards Robust Situation Awareness in Autonomous Vehicles

  • Artificial Intelligence & Machine Learning in Computer Vision Applications
    Vol. 7 No. 1 (2020)

    Artificial Intelligence & Machine Learning in Computer Vision Applications

  • Hardware-accelerated methods and solutions for embedded systems
    Vol. 6 No. 1 (2019)

    Hardware-accelerated methods and solutions for embedded systems

  • Robotics in Human Environment: Challenges and Solutions
    Vol. 5 No. 2 (2018)

    Call for submission. This editorial introduces the second issue of 2018 for Embedded Selforganising Systems (ESS) journal. The focus of this issue is Robotics and Embedded Systems.

    Our journal uses electronic publication, which provides a flexible way to submit and review contributions of authors from all of countries. The advantages of such an e-journal are multifarious. In comparison to traditional paper journals, we replace the classic review and creation process with a new Sliding Issue model. Each issue starts with an initial editorial and an official call for papers. The submitted articles will be reviewed and, if accepted, published as soon as the final version is received by the committee. Based on this process, each sliding issue can be filled successively until the maximum number of article is reached. During this period, all accepted papers can, already be read by other researchers while other papers are still in the reviewing process. Accordingly, the time to publish shrinks to a minimum. In addition, multiple issues with different focus can co-exist at the same time, which provides completely new possibilities to react on latest research topics. The journal allows also the integration of discussions and other reactions on published articles in the same journal issue.

    We are looking for fresh ideas, on-going research technical reports and novel scientific works. We also intend to create a promising platform for creative and constructive discussions.

  • Unmanned Aerial Systems and Its Application
    Vol. 5 No. 1 (2018)

    Call for submission. This editorial introduces the first issue of 2018 for Embedded Selforganising Systems (ESS) journal. The focus of this issue is a discussion about unmanned aerial systems (UAS) and its application in different areas of science and engineering solutions.

    Our journal used electronic publication, which provides a flexible way to submit and review contributions of authors from all of the countries. The advantages of such an e-journal are multifarious. In comparison to traditional paper journals, we replace the classic review and creation process with a new Sliding Issue model. Each issue starts with an initial editorial and an official call for papers. The submitted articles will be reviewed and, if accepted, published as soon as the final version is received by the committee. Based on this process, each sliding issue can be filled successively until the maximum number of article is reached. During this period, all accepted papers can already be read by other researchers while other papers are still in the reviewing process. Accordingly, the time to publish shrinks to a minimum. In Addition, multiple issues with different focus can co-exist at the same time, which provides completely new possibilities to react on latest research topics. The journal allows also the integration of discussions and other reactions on published articles in the same journal issue.

    Finally, we are looking for fresh ideas, on-going research technical reports and novel scientific works. We also intend to create a promising platform for creative and constructive discussions.

  • Embedded Systems and Its Application in Medical and Biomedical Field
    Vol. 4 No. 1 (2017)

    Embedded systems and its application in medical and biomedical field

    Embedded systems are power full processors with high speed, but not recognizable to people as computer. Nevertheless, they are embedded to many objects that surround us and help our daily life. Some years before application areas of embedded systems strongly focused to industrial area. One visible example is the all type of cars. In our days, it is difficult to find car, which not included embedded system inside.

    However, time is changed. Nowadays we can find embedded systems everywhere not only in technical area. One of the major application field of embedded system is medical and biomedial fields. For example: Glucose Test set, Xray, Ultrasound, Scanning equipment - MRI, CT Scan, ECG or EKG - cardiac and monitoring system patient monitoring (remote cases as well - enabled via IoT and sensors) and etc. Further important directions to use embedded systems in medical field are, clinical care, remote partient monitoring and early intervention with the help pf self-monitoring.

    New type of nano materials, fast and small sensors, image processing algorithms with high speed performance, opportunity to use big and cheap memory all together enables to researcher to apply embedded systems in medical fields. Wearable devices with many embedded systems helps to improve monitoring and serving of patients in medicine. Small sized robots uses inside of human body to support treatments against different type of cancers.

    To apply embedded system in medical field in medical equipment’s researchers are facing to many problems. For example: human reactions may be to slower with comparing speed of embedded system in nano materials or in medical robots.

    How will be look embedded systems in medical field in future? We can have great fantasy about this. May be every newborn baby will have some kind of little electronic stamp in scan of body and in this stamp we can include all necessary sensors to observe biometric parameters of baby. These data can see and monitor not only medical doctors it can be accessible to their parents, too. Of course here we will be use all opportunity of IoT and smartphones apps! For short in a few decades from now we can expect that nanorobots will be help to do many difficult surgical procedures by easy way. They are will be best assistant to medical doctors, in future.

    Therefore, current issue of our e-journal invites all type of papers, articles relating to application of embedded systems in medical and biomedical fields.