Volume 10 | Issue 6 |

 Abstract

Safety Management System is a proactive and systematic approach to the identification, evaluation, mitigation, prevention and control of hazards that could occur as a result of failures in process procedures and equipment. Increased industrial accidents, loss of lives and properties, public scrutiny, stationery requirement, aging facilities and intense industrial process, all contribute to a growing need for safety management programs to ensure safety and risk management. The ILO (International Labour Organization) constitution stipulates that workers should be protected from sickness, diseases and injuries arising from their employment. The economic development of any nation depends primarily on the important role played by industries which help in the process of export-led industrialization in the developing world. mall- and medium enterprises do not follow legislations and have no safety training programs that are conducted to ensure the awareness of safe working procedures in industry. The code of practice on safety management system will be very useful for industries in order to eliminate hazards and to provide safe work environment to the employees. The EHSMS shall be enhanced in all the above industries for protecting workers, staff and management staff as well as protecting the society at large.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Safety Management, Risk, ILO, Security, Hazards.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Delicate Tissue Tumors (STT) are a type of sarcoma found in tissues that interface, backing, and encompass body structures. Due to their shallow recurrence in the body and their extraordinary variety, they seem, by all accounts, to be heterogeneous when seen through Magnetic Resonance Imaging (MRI). They are effortlessly mistaken for different infections, for example, fibro adenoma mammae, lymphadenopathy, and struma nodosa, and these indicative blunders have an extensive unfavorable impact on the clinical treatment cycle of patients. Analysts have proposed a few AI models to characterize cancers, however none have sufficiently tended to this misdiagnosis issue. Likewise, comparative investigations that have proposed models for assessment of such cancers generally don't think about the heterogeneity and the size of the information. Thusly, we propose an AI based approach which joins another strategy of pre handling the information for highlights change, resampling methods to dispense with the predisposition and the deviation of precariousness and performing classifier tests in light of the and Deep learning Algorithm as Artificial brain organization.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Machine Learning (ML), Magnetic Resonance Imaging (MRI)., Delicate Tissue Tumors (STT)

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Mumbai is the busiest city in India and carries lakhs of people from their home to office in their daily routine. This network makes local trains busy for 24 hours per day, where people travel 4 times more than capacity despite being so they could not lay railway tracks due to so much contested area. The idea was only as a solution to this problem Born and thus proposed the concept of "elevated rail corridor" which utilizes the above the railway tracks and while the railway corridor structure has made exciting improvement to its network between the cities.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Mumbai railway corridor, Elevated corridor, Management of corridor, Construction of elevated corridor, Improvement of rail lines.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Globalization now has the difficulty of meeting the ever-increasing global demand for capital and consumer products while also preserving the social, environmental, and economic sustainability of human life. To meet this challenge, industrial value creation must be oriented toward long-term sustainability. Currently, the early industrialised nations' industrial value creation is defined by the transition to the fourth stage of industrialisation, known as Industry 4.0. This invention opens up a plethora of possibilities for achieving sustainable production. Based on recent researches, this research will give a state-of-the-art review of Sustainability in supply chain with application Industry 4.0. This research finds out the importance and implication of industry 4.0 application as a specific opportunity for sustainability in supply chain.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Sustainability, industry 4.0, Supply Chain.

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Creative Commons Attribution 4.0 and The Open Definition

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The board is an integral element of governance, it has a major role in organization performance. Board composition influences reputation, governance, decision making and performance. The board should have gender diversity and leading to this study to investigate gender diversity in the boardroom and its effect on organization performance. Consistent women representation in boards remains low in most countries and gender diversity remains significant for change and performance. Low gender diversity has overwhelmed most boards and the genesis of this is the persistence of gender inequality years. Organizations perform better when gender diversity is embraced. Creating the conditions to unlock the full potential of women to achieve economic goals is still a complex challenging affair, they are still underrepresented in the boards. Gender diversity is a gender number game that needs to be unlocked, as its about the richness of the board as a whole, the combined contribution of a group of people that can bring change and make greatest contributions. However, full implementation of gender diversity in the boardroom will only come out if measures are taken to streamline the board appointment exercise. Gender diversity has a significant impact on organization performance, thus the need for change.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Change, Gender diversity, Boardroom, Organization Performance

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Creative Commons Attribution 4.0 and The Open Definition

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The world is battling with Covid19 pandemic. There are such countless fundamental types of gear expected to battle against Corona infection. One of such most fundamental is Face Mask. In the current circumstance manual power is being utilized to check assuming an individual has placed on facial covering or not, and there are no productive facial covering identification applications, which are presently popular for transportation implies, thickly populated regions, private locale, huge scope makers and different endeavors to guarantee wellbeing. This system can along these lines be used continuously applications which require facial covering disclosure for security purposes on account of the episode of Covid-19.In this task Deep Learning is utilized for recognition of facial coverings. CNN is utilized to recognize the presence and nonattendance of facial covering. This undertaking can identify the covered faces exceptionally quick from each conceivable point. This framework is extremely helpful in post episode period and can be introduced openly places, for example, Railway Stations, Airports, Parks, Schools, universities, workplaces and so on to follow and guarantee wearing of covers by individuals.

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Creative Commons Attribution 4.0 and The Open Definition

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Deep Learning, CNN, Face Mask, Recognition

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Creative Commons Attribution 4.0 and The Open Definition

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Pneumonia is a respiratory disease caused by bacteria or viruses.it affects many people, especially in developing and developing countries, where pollution levels are high, unhealthy living conditions and congestion are common along with inadequate medical infrastructure. Pneumonia causes pleural leakage, a condition in which fluid leaks out fill the lungs, causing difficulty breathing. Early diagnosis of pneumonia is important to confirm therapeutic treatment and increasing survival rates. Chest X-ray imaging is the most common method used to diagnose pneumonia. However, chest X-ray examination is a challenging work and prone to tangible flexibility. Pneumonia remains a threat to human health; Coronavirus 2019 (COVID-19) which started in late 2019 has had a huge impact on the world. It continues in many lands and has caused tremendous losses in human life and property. In this paper, we present the DeepConv-DilatedNet-based method of diagnosis and locating pneumonia in chest X-ray images (CXR). The two-phase Faster R-CNN detector was adopted as a network infrastructure. Feature Pyramid Network (FPN) is integrated into an expanded neural network of bottleneck extensions to deepen features to preserve in-depth feature and location information. In the case of DeepConv-DilatedNet, the deconvolution network is used to restore high-level feature maps to their original size, and targeted information is stored. DeepConv-DilatedNet, on the other hand, uses the most popular full-featured layouts and shares some calculations throughout the image. Then, Soft-NMS is used to check boxes and verify sample quality. Also, K-Means ++ is used to produce work boxes to improve the precision of spatial processing. The algorithm obtained 39.23% Mean Average Precision (mAP) from the X-ray image database from the Radiological Society of North America (RSNA) and obtained 38.02% Mean Average Precision (mAP) from the ChestX-ray14 database, surpassing other information algorithms. Therefore, in this paper, an advanced algorithm that can provide doctors with information on the location of pneumonia lesions is proposed.

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 Keywords

: Pneumonia, Machine Learning, deep LEARNING, DeepConv-DilatedNet-based method, R-CNN detector, Soft-NMS, K-Means ++ algorithm, CXR, mAP.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper is discussed about gauss elimination method and gauss seidel iteration method in linear equation and solved problem used to this method.

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Creative Commons Attribution 4.0 and The Open Definition

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Linear equation, Gauss Elimination method and Gauss Seidel Iteration method.

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Creative Commons Attribution 4.0 and The Open Definition

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In this paper we introduce intuitionistic fuzzy completely regular weakly continuous mappings and some of their properties are studied.

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Creative Commons Attribution 4.0 and The Open Definition

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Intuitionistic fuzzy topology, intuitionistic fuzzy point, intuitionistic fuzzy regular weakly closed set, intuitionistic fuzzy regular weakly open set and intuitionistic fuzzy completely regular weakly continuous mappings.

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Creative Commons Attribution 4.0 and The Open Definition

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In this paper, we will define the logarithm form of a neutrosophic real number. We have proven some properties and theories, including the division of neutrosophic real numbers. In addition, we have given the exponential form of a neutrosophic real numbers.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Neutrosophic real numbers, the logarithm and the exponential form of a neutrosophic real numbers.

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Creative Commons Attribution 4.0 and The Open Definition