scholarly journals RA02 Based Multi-Purpose Agricultural Robot

Author(s):  
Mala Sinnoor

Agriculture seems to be one of the main industries which contributes to the development of a nation. Agriculture is the backbone of a nation. 70% of the income in India is based on agriculture. In this era of modern technology there have been technological advancements in almost every industry. Generally in the farms a lot of time is consumed for activities such as seed sowing, grass cutting and so on. Agriculture nowadays is facing various issues such as lack of labor, expensive machinery and much more. This proposed system aims to bring down the work for the farmers and hence make it easier for them to handle the current crisis and problems in a better and more efficient manner. The robotic vehicle can be controlled remotely with the help of a remote and all this can be done with the help of a LoRa module in order to control the movements of the robotic vehicle.

2020 ◽  
Vol 8 (8) ◽  
pp. 1158 ◽  
Author(s):  
Ovidiu-Dumitru Ilie ◽  
Roxana-Oana Cojocariu ◽  
Alin Ciobica ◽  
Sergiu-Ioan Timofte ◽  
Ioannis Mavroudis ◽  
...  

Since mid-November 2019, when the first SARS-CoV-2-infected patient was officially reported, the new coronavirus has affected over 10 million people from which half a million died during this short period. There is an urgent need to monitor, predict, and restrict COVID-19 in a more efficient manner. This is why Auto-Regressive Integrated Moving Average (ARIMA) models have been developed and used to predict the epidemiological trend of COVID-19 in Ukraine, Romania, the Republic of Moldova, Serbia, Bulgaria, Hungary, USA, Brazil, and India, these last three countries being otherwise the most affected presently. To increase accuracy, the daily prevalence data of COVID-19 from 10 March 2020 to 10 July 2020 were collected from the official website of the Romanian Government GOV.RO, World Health Organization (WHO), and European Centre for Disease Prevention and Control (ECDC) websites. Several ARIMA models were formulated with different ARIMA parameters. ARIMA (1, 1, 0), ARIMA (3, 2, 2), ARIMA (3, 2, 2), ARIMA (3, 1, 1), ARIMA (1, 0, 3), ARIMA (1, 2, 0), ARIMA (1, 1, 0), ARIMA (0, 2, 1), and ARIMA (0, 2, 0) models were chosen as the best models, depending on their lowest Mean Absolute Percentage Error (MAPE) values for Ukraine, Romania, the Republic of Moldova, Serbia, Bulgaria, Hungary, USA, Brazil, and India (4.70244, 1.40016, 2.76751, 2.16733, 2.98154, 2.11239, 3.21569, 4.10596, 2.78051). This study demonstrates that ARIMA models are suitable for making predictions during the current crisis and offers an idea of the epidemiological stage of these regions.


2021 ◽  
Vol 343 ◽  
pp. 07003
Author(s):  
Nicu-Pantelimon Rotaru ◽  
Nicolae Taşcă

During the last two years, the public health crisis caused by the SARS-CoV-2 pandemic has put constant pressure on social life, the functioning of institutions in general, and health services in particular. The rules of social distance or population mobility imposed by each state, determined by the level of spread of the virus, have shown how important various modern technologies are in facilitating relations between people or between them and state institutions or companies in which they work. Health services have directly benefited from the use of modern technology in health crisis management, but are also exposed to data security risks and the management of a large number of medical devices and consumables with limited use. In the context of the current crisis, the authors try to identify modern technologies and how they can facilitate the effective control of the spread of the pandemic, the exercise of a medical approach aimed at losing as few lives as possible, the discovery in record time of Covid-19 vaccines, the functioning of the economy and, very importantly, the maintenance of social relations in conditions of isolation. The authors’ approach methodology was based on the analysis and interpretation of information presented by prestigious websites in the field of healthcare, scientific research or Information Technology.


2019 ◽  
Vol 22 (2) ◽  
pp. 32-39
Author(s):  
Aksiniya Rus-Poltavska

The article identifies the significant impact of global issues on the transformation of the system of values and describes the features of social being in the conditions of the modern crisis. The problem of destroying the value system as an obstacle to achieving personal interests in conditions of hard survival during a crisis has been studied. The social risks of transforming the value system in crisis conditions are indicated. This article also analyzes the reasons for the lack of constructive proposals for finding a better way out of the global crisis. Attention is focused on the low level of thinking of modern man. This is the reason that modern people can not understand complex modern problems and successfully solve them. Anxiety about this was expressed by the entire world community at «The World Conference on Sustainable Development» (Rio de Janeiro, 1992, 2017 and 2012.), where it was said about the need to introduce a new paradigm of thinking. The task was solved by our compatriot – academician, professor, systemologist Malyuta Alexander Nikolaevich. To successfully solve any problems of any nature and complexity, the scientist offers a new modern technology – the fundamental system methodology «Invariant modeling», based on the theory of hyper complex dynamic systems (HDS).The concept of third-generation system methods asserts that there are only three possible solutions in the crisis development zone. And only one of these options provides a harmonious way out of the global crisis.This article examines global problems that, in the current crisis, must be addressed first. We did not succeed in finding research that describes the system of values as a technology to activity. Therefore, in spite of the huge number of works on value issues, the lack of constructive proposals and effective ways to address the consequences of the transformation of the value system in a globalizing environment require further study and new developments. The article suggests an optimal way out of the crisis zone and further steps to develop a harmonious life-supporting society to revive the systems of moral norms and values that will contribute to constructive, purposeful and effective human activity.


Author(s):  
Manisha Sritharan ◽  
Farhat A. Avin

Biological big data represents a vast amount of data in bioinformatics and this could lead to the transformation of the research pattern into large scale. In medical research, a large amount of data can be generated from tools including genomic sequencing machines. The availability of advanced tools and modern technology has become the main reason for the expansion of biological data in a huge amount. Such immense data should be utilized in an efficient manner in order to distribute this valuable information. Besides that, storing and dealing with those big data has become a great challenge as the data generation are tremendously increasing over years. As well, the blast of data in healthcare systems and biomedical research appeal for an immediate solution as health care requires a compact integration of biomedical data. Thus, researchers should make use of this available big data for analysis rather than keep creating new data as they could provide meaningful information with the use of current advanced bioinformatics tools.


Author(s):  
زينب صبري محمد الخزاعي

This study deals with the topic of electronic management in light of the Corona pandemic, the most important obstacles and solutions highlighted by the current crisis, and how countries, including Iraq, deal with these exceptional circumstances by relying on modern technology methods in managing and organizing public facilities in various health, educational and professional sectors, highlighting the most important advantages and disadvantages of this system and areas Applying it with highlighting the importance of oversight, whether legislative or judicial, or that which the administration exercises automatically or on the basis of individuals ’grievance, with an emphasis on the need to separate between decisions issued by the administration as a judicial control authority and those issued by the administration in an organizational or individual manner related to the rights and privileges of individuals or that Which organize and deliver public facilities And the provision of services therein, the study also deals with the substantive aspects of the Corona pandemic and its legal adaptation as an exceptional circumstance that requires the legislator to intervene in the issuance of legislation related to proof and research the reasons and suitability of electronic administrative decisions. And its widespread adoption, especially in light of the Corona pandemic, which led to important changes to political objectives and the need to adapt them to economic requirements.


Author(s):  
J. Samuel Manoharan

Forgeries have recently become more prevalent in the society as a result of recent improvements in media generation technologies. In real-time, modern technology allows for the creation of a forged version of a single image obtained from a social network. Forgery detection algorithms have been created for a variety of areas; however they quickly become obsolete as new attack types exist. This paper presents a unique image forgery detection strategy based on deep learning algorithms. The proposed approach employs a convolutional neural network (CNN) to produce histogram representations from input RGB color images, which are then utilized to detect image forgeries. With the image separation method and copy-move detection applications in mind, the proposed CNN is combined with an intelligent approach and histogram mapping. It is used to detect fake or true images at the initial stage of our proposed work. Besides, it is specially designed for performing feature extraction in image layer separation with the help of CNN model. To capture both geographical and histogram information and the likelihood of presence at the same time, we use vectors in our dynamic capsule networks to detect the forgery kernels from reference images. The proposed research work integrates the intelligence with a feature engineering approach in an efficient manner. They are well-known and efficient in the identification of forged images. The performance metrics such as accuracy, recall, precision, and half total error rate (HTER) are computed and tabulated with the graph plot.


Author(s):  
P V S Jayakrishna ◽  
M Suryavamsi Reddy ◽  
N Jaswanth Sai ◽  
N Susheel ◽  
K P Peeyush

2021 ◽  
Vol 9 (66) ◽  
pp. 15267-15271
Author(s):  
Umar Iqbal Wani

In today’s techno-intensive world, technology is an integral part of education. Over the last few decades, technology has been playing an increasingly vital role in the field of education, which has led to a profound improvement in the teaching and learning processes. The present learning environment demands that the teacher be skilled in use of technology to educate his pupils in an effective and efficient manner. Additionally, the school curriculum has to be in sync with the modern technology. In others words the curriculum has to so designed that it is easy to adapt and integrate it with the modern technologies of teaching and learning processes. This scenario requires that the teachers are trained and adept at handling modern techno-intensive teaching aids so that both teaching and learning become a joy for the teacher as well as the pupils.


In the modern world as technology develops, it is very crucial to secure, share and store the data. Especially, when it deals with medical data it is very important to secure that sensitive information. Sensitive information might be the pulse, temperature, or any disease-related symptoms. Such factors must not be shared unless or until with the users’ permission. When any services or any user overcome the given act then the victim will be addressed in the court of law for the denial of service. Such activities must not be welcomed as in the world of modern technology; it is easy to secure the data as well as to share the data. Hence, it is significant to overcome privacy issues and security attacks. The co-factors associated with transmitting and securing data involves bandwidth and energy. Bandwidth and energy play a vital role during the transmission of data. Hence in this paper, we introduce a novel system of creating a portal for the patients who can enroll with their medical details and fix appointments with the doctor and get the prescription. First, the Nth Degree Truncated Polynomial Ring Unit (NTRU) method is used to encrypt the data collected where the private chats among the patient can be secured. Those data will be transmitted to the nearby cloud-let in an energy-efficient manner. Secondly, patients can communicate with other patients about their diseases where the disease based group can be created to share the information. Thirdly, patient’s information is divided into tables and stored in the cloud for proper protection. As group chats and personal chats are involved, security is a must during communication and as an additional feature, the data are collected in a buffer format in the mobile, which paves way for reducing the bandwidth and energy consumption.


2017 ◽  
Vol 10 (3) ◽  
pp. 703-707
Author(s):  
CHETAN R. DUDHAGARA ◽  
HASAMUKH B. PATEL

In a recent era of modern technology, there are many problems for storage, retrieval and transmission of data. Data compression is necessary due to rapid growth of digital media and the subsequent need for reduce storage size and transmit the data in an effective and efficient manner over the networks. It reduces the transmission traffic on internet also. Data compression try to reduce the number of bits required to store digitally. The various data and image compression algorithms are widely use to reduce the original data bits into lesser number of bits. Lossless data and image compression is a special class of data compression. This algorithm involves in reducing numbers of bits by identifying and eliminating statistical data redundancy in input data. It is very simple and effective method. It provides good lossless compression of input data. This is useful on data that contains many consecutive runs of the same values. This paper presents the implementation of Run Length Encoding for data compression.


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