A Survey on Big Data Analytics: Challenges

A gigantic archive of terabytes of information is created every day from current data frameworks and computerized advances, for example, Internet of Things and distributed computing. Examination of these gigantic information requires a ton of endeavors at various levels to extricate information for dynamic. Hence, huge information examination is an ebb and flow region of innovative work. The essential goal of this paper is to investigate the likely effect of huge information challenges, and different instruments related with it. Accordingly, this article gives a stage to investigate enormous information at various stages. Moreover, it opens another skyline for analysts to build up the arrangement, in light of the difficulties and open exploration issues

Is technological progress a random walk? Examining data from space travel

Improvement in a variety of technologies can often be successful modeled using a general version of Moore’s law (i.e. exponential improvements over time). Another successful approach is Wright’s law, which models increases in technological capability as a function of an effort variable such as production. While these methods are useful, they do not provide prediction distributions, which would enable a better understanding of forecast quality Farmer and Lafond (2016) developed a forecasting method which produces forecast distributions and is applicable to many kinds of technology. A fundamental assumption of their method is that technological progress can be modeled as a random walk with drift. We demonstrate a class of technology, space exploration, in which random walk with drift does not occur. This shows the need for alternative approaches suitable in such technological domains

Research and Education in Computational Science and Engineering

This report presents challenges, opportunities, and directions for computational science and engineering (CSE) research and education for the next decade. Over the past two decades the field of CSE has penetrated both basic and applied research in academia, industry, and laboratories to advance discovery, optimize systems, support decision-makers, and educate the scientific and engineering workforce. Informed by centuries of theory and experiment, CSE performs computational experiments to answer questions that neither theory nor experiment alone is equipped to answer. CSE provides scientists and engineers with algorithmic inventions and software systems that transcend disciplines and scales. CSE brings the power of parallelism to bear on troves of data. Mathematics-based advanced computing has become a prevalent means of discovery and innovation in essentially all areas of science, engineering, technology, and society, and the CSE community is at the core of this transformation. However, a combination of disruptive developments---including the architectural complexity of extreme-scale computing, the data revolution and increased attention to data-driven discovery, and the specialization required to follow the applications to new frontiers---is redefining the scope and reach of the CSE endeavor. With these many current and expanding opportunities for the CSE field, there is a growing demand for CSE graduates and a need to expand CSE educational offerings. This need includes CSE programs at both the undergraduate and graduate levels, as well as continuing education and professional development programs, exploiting the synergy between computational science and data science. Yet, as institutions consider new and evolving educational programs, it is essential to consider the broader research challenges and opportunities that provide the context for CSE education and workforce development

Analyze business context data in developing economies using quantum computing

Quantum computing is an advancing area of computing sciences and provides a new base of development for many futuristic technologies discussions on how it can help developing economies will further help developed economies in technology transfer and economic development initiatives related to Research and development within developing countries thus providing a new means of foreign direct investment(FDI) and business innovation for the majority of the globe that lacks infrastructure economic resources required for growth in the technology landscape and cyberinfrastructure for growth in computing applications. Discussion of which areas of support quantum computing can help will further assist developing economies in implementing it for growth opportunities for local systems and businesses

Advancements in Hardware-Enabled Cyber-Physical Systems: A Comprehensive Exploration in Electronics and Computer Science.

The rapid evolution of Hardware-Enabled Cyber-Physical Systems (HE-CPS) plays a pivotal role in reshaping the landscape of Electronics and Computer Science. This research delves into recent breakthroughs, aiming to elucidate the integration of state-of-the-art hardware, artificial intelligence (AI), and machine learning (ML). The backdrop underscores the growing significance of cyber-physical systems and the pressing need for advanced hardware capabilities.The research's core objective is to analyze and showcase advancements in hardware design, AI and ML integration, and the mitigation of security concerns. Methodologically, a rigorous examination of peer-reviewed literature and in-depth case studies from real-world implementations forms the foundation. These case studies encompass diverse sectors, providing genuine insights into the practical applications of HE-CPS. The findings spotlight a paradigmatic shift in hardware design, emphasizing heightened efficiency, speed, and integration capacities. The infusion of AI and ML emerges as a transformative force, enhancing adaptability and predictive capabilities. Addressing security and privacy concerns reveals tangible solutions, including robust encryption and authentication measures. Real-world case studies demonstrate successful HE-CPS implementations, illustrating tangible benefits in sectors such as healthcare and manufacturing. This research contributes substantively to the discourse on the trajectory of cyber-physical systems, offering a comprehensive overview of recent advancements

Visualization & Automation of Shams Dubai Report

Dubai’s Smart Grid strategy includes the implementation of Distributed Energy Resources and Distribution Automation (DA) facilities to continuous monitoring and remote control from DEWA’s Distribution Control Center (DCC) , and, in some cases, automatic control of electric distribution assets operated at 33kV or lower. The increase level of telemetry and automation in the field imposes a greater challenge in monitoring and live data visualization for establishing a decision support system that empowers distribution system operators and enables optimal control of existing and planned assets. This challenge can be overcome through introducing data science tools in the sector of energy. Through imposing certain reporting and visualization tool, the data generated utilization level is improved which will lead to an increase in reliability and efficiency, rise asset utilization, workforce productivity, decision making, thus, increase customer satisfaction. The use case covered during this capstone proposal is one of the daily reports generated by distribution operation department manually on the daily bases. During this project, data science tools will be benchmarked accordingly to distribution power utility needs of reporting and anticipating certain parameters such as distribution solar generation and key performance indicators (SAIDI, SAIFI, CML, MTTR, MTBF etc.). The selected tool will be utilized to generate live reports/ dashboards and to decrease the level of manpower intervention. This proposal will highlights the background of the project, problem statement, project definition and goals and explains project methodology and evaluation followed by project deliverables & timeline

The Nagoya Protocol and the Legal Structure of Global Biogenomic Research

As life sciences technologies have advanced, so too has the potential for these international collaborations to lead to breakthrough medicines, enhance food security, and protect ecological systems. The linchpin of this progress is the development of high throughput genetic sequencing technologies. Researchers are now able to generate and compare large stretches of DNA - 1 million bases or more - from different sources quickly and inexpensively. Such comparisons can yield massive amounts of information about the role of inheritance in susceptibility to infection and illness as well as responses to environmental influences. In addition, the ability to sequence genomes more quickly and inexpensively creates enormous potential for new diagnostics and therapies. This is true not only for sequencing the human genome, but also for sequencing the genomes of simple and complex organisms that comprise the entire human environment. This Article will first provide examples of where international collaborations have led to advances in medical and agricultural benefits for populations in both rich and poor countries. It will then describe how new life sciences research collaborations, primarily using genetic sequencing technology, may detect potential human pathogens, characterize microbial life, and catalogue the unique genetic information in all wildlife species. It will situate these biogenomic projects in the context of the international access and benefit sharing law, derived from several sources, but most importantly the 1993 Convention on Biological Diversity (CBD). Finally, this Article will analyze four of these new international collaborations to demonstrate that the common tensions that arise between generating scientific and other benefits through exploiting new research possibilities, and meeting the food and medical needs of the world\u27s population today are often reconcilable. Part I of this Article outlines the law and ethics of life sciences research partnerships as they unfolded over the course of the twentieth century. Part II analyzes how advances in genetic sequencing technology may accelerate the pace and impact of new life sciences research collaborations. Part II also examines the development of international law over the course of those technological advances, and how the law now requires or shapes partnerships to benefit all participants and to be mindful of constituencies who may or may not benefit. Part III examines four major collaborations, using these case studies to show how the international law of biodiversity is shaping their objectives and channeling their benefits and also addressing persistent ethical questions about the use and distribution of scarce resources. Part IV sets out the conclusions