scholarly journals Microsleep Accident Prevention for SMART Vehicle via Image Processing Integrated with Artificial Intelligent

2021 ◽  
Vol 2129 (1) ◽  
pp. 012082
Author(s):  
S H Zaleha ◽  
Nur Haliza Abdul Wahab ◽  
Norafida Ithnin ◽  
Johana Ahmad ◽  
Noor Hidayah Zakaria ◽  
...  

Abstract Number of accidents caused by microsleep increases rapidly each day. This is due to the current trend of life, for example high workload, long working hours, traffic jams, having too much caffeine, drinking alcohol, age factor, and many others. This microsleep can lead to major accidents, higher number of deaths, injuries, demolition of property and permanent disability. The creation of SMART Vehicles in the Internet of Things (IoT) increases the technology capabilities in transportation sectors, in addition to reduce the number of crashes on the roads. An integration with Artificial Intelligent (AI) can be a perfect combination on development of a microsleep detection and prevention. While the image processing will be used as the method of detecting the face changes from normal to microsleep symptoms on detecting the eye degree, the head motion and the mouth yawning. This work presented a review of current research that supported the integration of IoT and AI. The analysis and discussion on the best solution and method to prevent microsleep accidents was shown. Lastly, recommendation on development of real sensors for SMART Vehicles will be discussed. A preliminary result on this work also will be shown.

2019 ◽  
Vol 6 (1) ◽  
pp. 47-63 ◽  
Author(s):  
Bettina Nissen ◽  
Ella Tallyn ◽  
Kate Symons

Abstract New digital technologies such as Blockchain and smart contracting are rapidly changing the face of value exchange, and present new opportunities and challenges for designers. Designers and data specialists are at the forefront of exploring new ways of exchanging value, using Blockchain, cryptocurrencies, smart contracting and the direct exchanges between things made possible by the Internet of Things (Tallyn et al. 2018; Pschetz et al. 2019). For researchers and designers in areas of Human Computer Interaction (HCI) and Interaction Design to better understand and explore the implications of these emerging and future technologies as Distributed Autonomous Organisations (DAOs) we delivered a workshop at the ACM conference Designing Interactive Systems (DIS) in Edinburgh in 2017 (Nissen et al. 2017). The workshop aimed to use the lens of DAOs to introduce the principle that products and services may soon be owned and managed collectively and not by one person or authority, thus challenging traditional concepts of ownership and power. This workshop builds on established HCI research exploring the role of technology in financial interactions and designing for the rapidly changing world of technology and value exchange (Kaye et al. 2014; Malmborg et al. 2015; Millen et al. 2015; Vines et al. 2014). Beyond this, the HCI community has started to explore these technologies beyond issues of finance, money and collaborative practice, focusing on the implications of these emerging but rapidly ascending distributed systems in more applied contexts (Elsden et al. 2018a). By bringing together designers and researchers with different experiences and knowledge of distributed systems, the aim of this workshop was two-fold. First, to further understand, develop and critique these new forms of distributed power and ownership and second, to practically explore how to design interactive products and services that enable, challenge or disrupt existing and emerging models.


2018 ◽  
Vol 61 (5) ◽  
pp. 613-636 ◽  
Author(s):  
Scott Fitzgerald ◽  
Susan McGrath-Champ ◽  
Meghan Stacey ◽  
Rachel Wilson ◽  
Mihajla Gavin

Australian public school teachers work some of the longest weekly hours among Organisation for Economic Co-operation and Development countries, particularly in the state of New South Wales where average hours are officially in, or near, the statistical category of ‘very long working hours’. These reports of a high workload have occurred alongside recent policy moves that seek to devolve responsibility for schooling, augmenting teacher and school-level accountability. This article explores changes in work demands experienced by New South Wales teachers. As part of a larger project on schools as workplaces, we examine teaching professionals’ views through interviews with teacher union representatives. Consistent with a model of work intensification, workload increases were almost universally reported, primarily in relation to ‘paperwork’ requirements. However, differences in the nature of intensification were evident when data were disaggregated according to socio-educational advantage, level of schooling (primary or secondary) and location. The distinct patterns of work intensification that emerge reflect each school’s relative advantage or disadvantage within the school marketplace, influenced by broader neoliberal reforms occurring within the state and nation.


2022 ◽  
Vol 2 (1) ◽  
pp. 34-43
Author(s):  
ADITYA ZULMI RAHMAWAN ◽  
ZAENURIYAH EFFENDI

The COVID-19 pandemic poses problems in various sectors. The most vulnerable sector in this situation is the social sector, especially education. Problems such as the learning process make the continuity of education a concern. This is a challenge for the community in the era of society 5.0 in the hope of overcoming the problems that arise due to the Covid-19 pandemic. The use of big data, artificial intelligence, and the internet of things is an alternative effort to help deal with the impact of the pandemic in accordance with the conditions in this disruptive era. This study aims to determine the policies and strategies of society 5.0 in the learning process as an effort to handle the impact of the pandemic. This study uses a systematic review research method of literature published by scientific journals in the period January 2010 to December 2021. The data used comes from published journals related to the topics studied and from various electronic media. The results of the study can find out strategies in the learning process in the implementation of society 5.0 in policies in the field of education as an effort to deal with the impact of the covid-19 pandemic. ABSTRAKPandemi covid-19 memberikan permasalahan di berbagai sektor. Sektor yang paling rentan dalam situasi ini adalah sektor sosial terutama pada pendidikan. Permasalahan seperti proses pembelajaran membuat keberlangsungan pendidikan menuai kekhawatiran. Hal ini menjadi sebuah tantangan bagi masyarakat di era society 5.0 dengan harapan dapat mengatasi permasalahan yang timbul akibat pandemi Covid-19. Pemanfaatan big data, artificial intelligent, dan internet of things menjadi upaya alternatif dalam membantu menangani dampak pandemi yang sesuai dengan keadaan di era disruptif ini. Penelitian ini bertujuan untuk mengetahui kebijakan dan strategi society 5.0 dalam proses pembelajaran sebagai upaya penanganan dampak pandemi. Penelitian ini menggunakan metode penelitian tinjauan sistematis terhadap literatur yang diterbitkan oleh jurnal ilmiah pada periode Januari tahun 2010 hingga Desember 2021. Sumber yang digunakan berasal dari jurnal-jurnal yang sudah dipublikasikan terkait dengan topik yang dikaji dan dari berbagai media elektronik. Hasil penelitian dapat mengetahui strategi dalam proses pembelajaran dalam implementasi society 5.0 pada kebijakan di bidang pendidikan sebagai upaya menghadapi dampak pandemi covid-19.


2020 ◽  
Vol 24 (1) ◽  
pp. 151-156
Author(s):  
T. Pisоchenkо ◽  
◽  
S. Agafonova ◽  

Annotation. Introduction. The author investigates in his article the main drawbacks of the Ukrainian legislative base that may cause difficulties for employers and employees during the COVID-19 pandemic. While reading this article you will find several solutions on how to limit salary expenses of you company or firm, lead in remote or part-time working schedule on the enterprise and grant employees unpaid leave. The article also deals with the procedure of the paper work that should be done while processing sick leaves of the people who suffered from the COVID-19 disease or contacted with the COVID-19 patients. Purpоse. The purpose of this article is to identify the shortcomings of labor legislation during quarantine and restrictive measures related to the spread of coronavirus disease (COVID-19). Consider and analyze new approaches in building labor relations between employees and employers in the face of rising unemployment and the introduction of telework. Results. The pandemic covered 210 countries and territories. Studies have shown that tens of millions of people have lost their jobs. According to various social survey centers, every third company surveyed optimized the payroll, sent employees to remote work with a reduction in wages, reduced staff and transferred some workers to contracts. Today it is possible to exercise the right to receive partial unemployment benefits for insured workers who have lost part of their wages due to forced downtime or reduction of working hours due to quarantine. Cоnclusiоns. Today, much responsibility lies with the subjects of labor relations, much depends on the employees and employers, on their responsibility and charity. State aid to those categories that were more vulnerable during the crisis remains important. Financial assistance can take the form of grants and grace periods on outstanding loans – in order to support and overcome the profitability crisis. Keywоrds: labor relations; pandemic; wages; COVID-19.


2021 ◽  
Vol 12 (12) ◽  
pp. 343-356
Author(s):  
Andréa Arruda VAZ ◽  
Marco Antônio Lima Berberi ◽  
Tais Martins

The research presents in a practical way the impacts of the crisis of 2008 and following years in Europe and the action of the economic block, to mitigate the crisis through austerity measures, which last to date. The search for a solution to the crisis that has plagued the European Union, the possible conflict with unavailable rights and the imposed need for flexibilization of rights, especially in labour law, deserves debate. The measures put forward by the member countries of the European Union to solve the economic crisis are also partly linked to the idea of the suppression of rights. For example, we mention the reduction of working hours, an increase in the retirement age, among other fundamental precepts inherent to the dignity of the human person, which have been made more flexible during the crisis. This article discuss the legality of these flexibilities in the face of the protection of fundamental human rights and European Community law, from the point of view of international law, of the Convention OIT, ONU, which have been ratified by the various countries of Europe. Over the years, the European Union has been going through a series of crises and consequent precarious labour law, one of the most recent and relevant, the UNITED KINGDOM’s withdrawal from the European Union through so-called Brexit.


2021 ◽  
Author(s):  
Ngoc Huy Nguyen ◽  
Minh Van Hoang ◽  
An Quang Nguyen ◽  
Luc Quang Tran ◽  
Thong Van Nguyen

BACKGROUND Stroke is the second leading cause of death and the leading cause of permanent disability globally. Vietnam is a developing country with a high prevalence of stroke. OBJECTIVE This study aimed to present the clinical features and neuroimaging findings in acute cerebral infarction patients using RAPID Artificial Intelligent (RAPID AI) Software Analysis METHODS A case series of 54 stroke patients based on data from the electronic medical records who admitted between October 2019 and October 2020, for whom Rapid AI was used to analyze images of stroke. RESULTS The results showed that the mean age of patients was 73.39 ± 12.46 years and males comprised 57.4 of the sample. The most common risk factor identified was hypertension (75.9%), followed by atrial fibrillation (24%), diabetes (20%), alcohol (15%), and smoking (9%). The most common clinical signs were hemiparesis in 76% of the patients, followed by dysphasia in 50% and memory loss in 28% of the sample. 7% presented with dizziness and 7% with headache. 6% were unconscious on admission. ASPECTS evaluation showed that 24 (44%) patients had good ASPECTS scores of 8-10, 17 (32%) patients had ASPECTS scores of 5-7, and 13 (24%) patients had ASPECTS scores of 0-4. The number of patients with an infarct core volume <70 mL was 50 (93%), while a mismatch volume of >15 mL was observed in 31 (55%) patients and 22 (41%) patients had a mismatch ratio >1.8. The assessment of CT imaging of thrombi showed 51 cases of anterior cerebral circulation, including 13 (24%) cases diagnosed as ICA, 30 (76%) cases diagnosed as MCA, and 8 (15%) cases diagnosed as SA. There were 10 cases of MCA-M1 (19%), 7 cases of MCA-M2 and MCA-M4 (13%) cases and 6 cases of MCA-M3 (11%), respectively. There were three cases of posterior cerebral circulation, comprising one case of Posterior cerebral artery (PCA) and two cases of Basilar artery (BA) territory infarction. CONCLUSIONS A collection of clinical features and neuroradiological assessment based on RAPID Artificial Intelligent (RAPID AI) Software Analysis can be used in identify stroke patients in the hospitals.


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