8 research outputs found
The Use of AI in Swedish Manufacturing Industry : Opportunities and Challenges
No full textDetta examensarbete syftar till att undersöka hur artificiell intelligens (AI) används i svensk tillverkningsindustri, med fokus på konkreta tillämpningar, upplevda fördelar och de utmaningar som företag ställs inför. I takt med att digitalisering och Industri 4.0 får ökad betydelse har AI blivit ett centralt verktyg för att effektivisera och förbättra produktionsprocesser. Samtidigt är kunskapen om hur AI används i praktiken fortfarande begränsad. Studien bygger på en kvalitativ metod med semistrukturerade intervjuer. Totalt genomfördes fem intervjuer med representanter från ABB, AstraZeneca, Atlas Copco, DynaMate och Scania. Resultaten visar att AI används inom flera viktiga delar av produktionen, främst prediktivt underhåll, kvalitetskontroll, produktionsplanering och generativ informationshantering. De intervjuade företagen lyfter fram flera fördelar med tekniken, såsom ökad effektivitet, minskade kassationer, bättre beslutsstöd och förbättrad arbetsmiljö. Samtidigt framkommer gemensamma utmaningar, bland annat svårigheter med systemintegration, begränsad IT-infrastruktur och frågor kring hur skalbara AI-lösningarna faktiskt är. Flera av dessa insikter överensstämmer med vad som lyfts fram i tidigare forskning om AI i industrin och i state-of-art forskning. Samtidigt visar studien på vissa skillnader mellan teori och praktik.This thesis aims to explore how artificial intelligence (AI) is used in Swedish manufacturing industry, with a focus on concrete applications, perceived benefits, and the challenges companies face. As digitalization and Industry 4.0 become increasingly important, AI has emerged as a key tool for streamlining and improving production processes. At the same time, knowledge about how AI is applied in practice remains limited. The study is based on a qualitative method using semi-structured interviews. A total of five interviews were conducted with representatives from ABB, AstraZeneca, Atlas Copco, DynaMate, and Scania. The results show that AI is used in several key areas of production, primarily predictive maintenance, quality control, production planning, and generative information management. The interviewed companies highlight several benefits of the technology, such as increased efficiency, reduced scrap rates, improved decision-making, and better working environments. However, common challenges also emerge, including difficulties with system integration, limited IT infrastructure, and concerns about the scalability of AI solutions. Several of these insights align with what has been highlighted in earlier research on AI in industry and in state-of-the-art research. At the same time, the study reveals certain differences between theory and practice
The Scientific Publishing in the Digital Era
No full textملخص:
تستعرض الورقة الحالية عرضاً لكتاب النشر العلمي في العصر الرقمي: الفرص والتحديات لمؤلفه الأستاذ الدكتور/ جمال الدهشان.
الكلمات الدلالية:
النشر العلمي، العصر الرقمي، البحث العلمي.Abstract:
The paper reviews the Book: “The Scientific Publishing in the Digital Era: Chances and challenges. Which it’s Author is prof. Dr Gamal ElDahshan.
Keywords:
Scientific Publishing, Digital Era, Scientific Research
Traffic Management in Residential Areas: Case Study the South District of Luxor City, Egypt
No full textTraffic management includes the implementation of a wide range of measures, devices and techniques based on a combination of parallel strategies, to improve safety and livability on streets by reducing the effect of vehicular traffic.
The local residential streets have the intended traffic function of providing access to limited numbers of local residents. Traffic management for residential streets helps to preserve and enhance streets by minimizing the negative impacts of traffic and seeks to improve safety for pedestrians, cyclists, motorists and all other road users.
The problem is that the planning of Egypt’s existing cities depended on grid and linear network streets without
separation land-use. Where the residential areas are always mixed land-use, (residential and commercial uses). This situation reflects on congestion residential areas; noisy, Traffic confusion, . . . . . . etc. So, the author aimed to create the traffic methodological for existing residential areas.
This paper is applied in the south district of Luxor city, where the city’s authorities took some procedures for
managing traffic to no avail.
This practical study includes: designing the traffic methodological framework, applying the framework at case
study, and comparing the designed model with the current state of case study. The software programs used are SPSS and excel.
The results show that the current state ignores some principles in comparison to the designed model. The important recommendations of research are: the designed model should be applied at case study, and the framework of traffic methodological for existing residential areas is applicable in different areas
Study of Pakistan pilot project farmer-leaders to Nepal
No full textFarmer participation / Irrigation management / Farmer managed irrigation systems / Irrigated farming / Sustainable agriculture / Institution building / Pakistan
EVALUATION OF GROUNDWATER QUALITY OF SIWA OASIS
No full textIn discussing the water quality evaluation for use in different purposes, the author will briefly examine some of the major important water quality standards. These standards serve as a basis for appraisal of the results of chemical water analysis in terms of suitability of the water for various intended uses. According to total dissolved salts (TDS), major ions as cations ( Ca2+, Mg2+, Na+, K+), anions (CO₃2â», HCO₃â»Â ,SOâ‚„2â», Clâ»), with some heavy metals such as Al3+, B3+ , Cd2+, Co2+, Cr3+, Cu2+, Fe3+, Mn2+, Mo2+, Ni2+, Pb2+, Sr2+, V2+  and Zn2+  The results indicate that the samples of Nubian sandstone aquifer is suitable for drinking of human and livestock , suitable for laundry purposes and for irrigation. While the samples of Fractured dolomite limestone aquifer are unsuitable for drinking and irrigation.Â
A case report of anti-NMDA receptor encephalitis in a young Egyptian female patient presenting with hyperreligiosity
No full textAbstract Anti-n-methyl-d-aspartate receptor (NMDAR) encephalitis is a form of autoimmune encephalitis that remains under-recognized due to the variability of the initial symptoms and can be misdiagnosed as viral encephalitis or other pathogens. This syndrome has been predominantly described in young females including personality changes, autonomic dysfunctions, and neurologic decompensation. About half of the cases have tumors, most commonly teratomas of the ovaries; another established trigger is herpes viral encephalitis, while the cause in other cases is unclear. In case of clinical suspicion, electroencephalogram and brain magnetic resonance imaging are useful, but lumbar puncture for cerebrospinal fluid analysis is used to confirm the diagnosis. Treatment for this disease includes immunosuppression, plasmapheresis, and tumor resection when indicated. In this case report, we present a case that presented with hyperreligiosity and proved to have autoimmune encephalitis. The main purpose of our case is to increase awareness regarding immune-mediated encephalitis, especially the anti-NMDAR encephalitis
Towards a Better Understanding of the Computer Vision Research Community in Africa
No full textComputer vision is a broad field of study that encompasses different tasks
(e.g., object detection). Although computer vision is relevant to the African
communities in various applications, yet computer vision research is
under-explored in the continent and constructs only 0.06% of top-tier
publications in the last ten years. In this paper, our goal is to have a better
understanding of the computer vision research conducted in Africa and provide
pointers on whether there is equity in research or not. We do this through an
empirical analysis of the African computer vision publications that are Scopus
indexed, where we collect around 63,000 publications over the period 2012-2022.
We first study the opportunities available for African institutions to publish
in top-tier computer vision venues. We show that African publishing trends in
top-tier venues over the years do not exhibit consistent growth, unlike other
continents such as North America or Asia. Moreover, we study all computer
vision publications beyond top-tier venues in different African regions to find
that mainly Northern and Southern Africa are publishing in computer vision with
68.5% and 15.9% of publications, resp. Nonetheless, we highlight that both
Eastern and Western Africa are exhibiting a promising increase with the last
two years closing the gap with Southern Africa. Additionally, we study the
collaboration patterns in these publications to find that most of these exhibit
international collaborations rather than African ones. We also show that most
of these publications include an African author that is a key contributor as
the first or last author. Finally, we present the most recurring keywords in
computer vision publications per African region.Comment: Published in EAAMO'23 under ACM License. This work is part of our
African computer vision grassroots research in Ro'ya - CV4Africa,
https://ro-ya-cv4africa.github.io/homepage
Assessment of Cardiac Energy Metabolism, Function, and Physiology in Patients With Heart Failure Taking Empagliflozin : The Randomized, Controlled EMPA-VISION Trial
No full textAcknowledgments The authors express their gratitude toward the Oxford cardiovascular magnetic resonance nursing team, specifically Judith DeLos Santos, Catherine Krasopoulos, Marion Galley, and Claudia Nunes; and the diabetes trials unit team, particularly Irene Kennedy, for her organization skills. The authors also thank the team of the computed tomography suite at the Manor Hospital Oxford as well as all patients who participated in this trial. Drs Holman and Neubauer are Emeritus National Institute for Health Research senior investigators. The views expressed are those of the author(s) and not necessarily those of the National Health Service, National Institute for Health and Care Research, or Department of Health. Sources of Funding Boehringer Ingelheim is the sponsor of the EMPA-VISION study and was involved in early stages of its study design. Boehringer Ingelheim employees (Drs Lee and Massey) also supported preparation of this manuscript. Dr Neubauer acknowledges support from the Oxford British Heart Foundation Centre of Research Excellence. Drs Holman and Neubauer were supported by the Oxford National Institute for Health Research Biomedical Research Centre. Drs Rodgers and Valkovič are funded by Sir Henry Dale Fellowships from the Wellcome Trust and the Royal Society [098436/Z/12/B and 221805/Z/20/Z, respectively]. Dr Valkovič also gratefully acknowledges support of the Slovak Grant Agencies VEGA (Vedecká grantová agentúra) [2/0003/20] and APVV (Slovak Research and Development Agency) [No. 19–0032]. Dr Miller acknowledges support from the Novo Foundation (NNF21OC0068683).Peer reviewe
