A quantum internet is the holy grail of quantum information processing, enabling the deployment of a broad range of quantum technologies and protocols on a global scale. However, numerous challenges exist before the q...
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This study has been carried out in the organization of the aerospace industry. The scientific literature has been analysed in the article. Article shows the relevance of ongoing research on the selected topic. It was ...
This study has been carried out in the organization of the aerospace industry. The scientific literature has been analysed in the article. Article shows the relevance of ongoing research on the selected topic. It was noted that there is an insufficient attention of the heads of the organization to the workers occupational health and safety. Due to the analysis of the existing occupational safety and health management system, its significant shortcomings have been identified: the use of an ineffective method of analysis of occupational risks, as well as the development of measures only on the basis of accidents and occupational diseases (lagging indicators). To improve the efficiency of the occupational safety and health management system, it was proposed to switch to proactive indicators of safety culture. For the assessment of professional risks, the “Fine Kinney” professional risk assessment method was recommended and implemented. At the same time, in order to increase the efficiency of monitoring the labour conditions management system, an audit system has been introduced, and the levels of management in the organization have been revised. The study made it possible to increase the efficiency of the occupational safety and health management system of the organization significantly. It will reduce the level of industrial injuries.
The paper focuses on the need for optical communication in future eras. Spatial reprocess cannot meet the present conditions with increasing traffic demand in Radio Frequency (RF) communication. The frequency spectrum...
The paper focuses on the need for optical communication in future eras. Spatial reprocess cannot meet the present conditions with increasing traffic demand in Radio Frequency (RF) communication. The frequency spectrum in traditional methods of wireless communication has been saturated. Visible Light Communication (VLC) and Internet-of-Things (IoT) integration will open up many indoor applications in the near future. Light Emitting Diodes (LEDs) and Photodetectors (PDs) in VLC support reliable uplink and downlink for Device-to-Device communication indoors. There is emergence of the energy-efficient variant of the VLC due to the shortage of energy budget in the upcoming era. The VLC works well in low illuminance. Energy conservation is supportedby consuming much lower energy through the usage of LEDs in *** can be achieved through the hybrid of single and multicarrier modulation. The work is about to discuss dimming techniques that support VLC in low illuminance and multicarrier modulation, which supports high data rate transmission.
The manuscripts demonstrates the consequences on the way to advance in addition authenticate image processing techniques intended for deciding the finest physical models centered happening on solar image surveillances...
The manuscripts demonstrates the consequences on the way to advance in addition authenticate image processing techniques intended for deciding the finest physical models centered happening on solar image surveillances. This technique comprises of choosing the physical models centered proceeding on by means of coronal holes extracted from the images. Eventually, the objective is on the way to custom physical models in order to forecast geomagnetic storms. For coronal hole segmentation it is centered on physical restraints progressing a multi-modal scheme which customs segmentation maps commencing from three diversified methods in order to initialize a level-set technique which progresses the preliminary coronal hole segmentation towards the magnetic boundary. These coronal holes are clustered, mapped and validated. The suggested multi-modal segmentation technique vitally outstripped SegNet, U-net, Henney- Harvey, and FCN by giving precise boundary recognition. This suggested techniques gives 95.5% map classification precisely. An ontological representation IPCHSonto of the image processing method for Coronal Hole Segmentation have been built using protégé tool. This ontology is précised in formal languages by means of a well-defined semantics. Ontologies remain built upon a segmented understanding within a community.
Various learning disabilities affect spelling and handwriting abilities of children. An understanding of these disabilitiesis facilitated by developing a formal model of the cognitive processes involved in spelling. O...
Various learning disabilities affect spelling and handwriting abilities of children. An understanding of these disabilitiesis facilitated by developing a formal model of the cognitive processes involved in spelling. One such model is the dual-route model which was originally proposed for reading but can also be applied to spelling by evaluating the cognitive steps in a different order. The model is language-dependent. To develop a spelling model for Malayalam-English bilingual learners in Kerala, South India, we conducted a spelling study with 208 second grade students from seven schools. We then fitted a Bayesian dual-route modelto the data using an expectation-maximization (EM) algorithm. The model used 4 hidden variables to represent the stages in the cognitive process and 13 observed variables to represent the various types of spelling errors. The performance of the model was evaluated using cross-validation, and it was found that the dual-route model outperforms single-route models.
The aim of current Paper is to examine the effect/result of ‘heat source’ parameter over a wedge through porous-medium for electrically-conducting fluid flow for a magneto hydrodynamic Casson nanofluid with activati...
The aim of current Paper is to examine the effect/result of ‘heat source’ parameter over a wedge through porous-medium for electrically-conducting fluid flow for a magneto hydrodynamic Casson nanofluid with activation energy. The influence/impact of ‘second law’ analysis for electrically conducting fluid(s) with chemical-reaction also investigated. Dimension-less ordinary differential equations(ODE) are obtained/derived from the highly non- linear PDEs by using similarity transformations. The ‘Runge- Kutta –Fehlberg with shooting technique’ is utilized to solve remodelled ODEs numerically. The effect(s) of the ‘physical parameter’ on velocity, temperature and concentration are extensively discussed through several plots. Numerical result(s) for Nusselt number, skin friction coefficient & ‘Sherwood number’ for various parameter(s) are computed.
Rapid raise in urbanization and population has led to the accumulation of huge amount of garbage throughout the world which became a serious problem that requires proper management and recycling. Proper recycling of g...
Rapid raise in urbanization and population has led to the accumulation of huge amount of garbage throughout the world which became a serious problem that requires proper management and recycling. Proper recycling of garbage can be done easily if it is segregated prior to the recycling process. This project aims to present a smart garbage segregation system which segregates garbage into its respective type (wet waste, dry waste, metallic waste etc.) using different types of sensors and Arduino controller which takes care of all the task. The entire task is performed on a conveyor belt having multiple sections depending on number of types of wastes one wants to segregate. Waste is detected and directed to the respective slot or section for segregation. Then various piles of waste are created which are moved to their respective recycling units without much human effort.
The originally published article1 had errors in the scaling of the force and torque values affecting Figs. 4–6. The torque for a 4 mm cube as shown in Fig. 4 is
The originally published article1 had errors in the scaling of the force and torque values affecting Figs. 4–6. The torque for a 4 mm cube as shown in Fig. 4 is
The world is changing day by day through technical innovations. Due to urbanization, climatic changes, land degradation, water scarcity and also through industrial revolution, migration of people from rural areas to u...
The world is changing day by day through technical innovations. Due to urbanization, climatic changes, land degradation, water scarcity and also through industrial revolution, migration of people from rural areas to urban areas is drastically increasing, as a result, the availability of labor for agricultural practices are reducing. Agricultural production must be increased to supply the food required to the growing population. Precision farming finds a way to overcome these challenges by providing various economical techniques for effective utilization of land and available resources with less involvement of labor. This paper presents a simple and efficient machine vision mango fruit segmentation algorithm using image processing techniques. The proposed algorithm utilizes color features to segment the mango fruit. The dataset is collected for 5 months temporally from December 2018 to May 2019 right from the flowering stage to the maturation stage of the fruit under daylight condition. The proposed algorithm of mango fruit recognition is tested on the collected dataset. Dominant features are extracted from color features, to obtain more information on the image through different color space RGB image is converted into HSV color space and then de-noising methods are applied to remove the noise formed because of not recognizing the presence of leaves and branches properly. After de-noising the image thresholding method is applied to remove the background. Finally, fruit recognition is performed with the help of segmentation methods. The developed algorithm gives good results of fruit region segmentation.
Body Area Network (BAN) demands a secure and low-power technology. Traditionally, RF signals were used, which suffer from high losses and lack of security. Recently, electro-quasistatic human body communication has em...
Body Area Network (BAN) demands a secure and low-power technology. Traditionally, RF signals were used, which suffer from high losses and lack of security. Recently, electro-quasistatic human body communication has emerged, enabling low-power communication, but somewhat susceptible to leakage. Ultrasound is presented as a promising alternative owing to its ability to propagate in water-dominated media, like the human body, besides being safe. Existing studies employ ultrasound devices for powering or communicating across tissues; either through transmitter-receiver aligned configurations (not suitable for non-line-of-sight communication) or using omnidirectional transducers, hence limiting the communication distance to only a few centimeters. This paper presents a simulation-based study on confining ultrasound waves inside the human tissues (muscle, fat and skin). Through the oblique incidence on the bone/muscle interface, the waves can bypass the bone (highly-attenuative tissue) through total internal reflection, besides skew propagation around the bone, thus, be guided through the water-rich tissues. In addition, the high reflection at the skin/air interface (˜99.9%) confines most of the signal inside the body. Simulations are done on a simplified cylindrical-shaped model at 100 kHz, demonstrating the possibility of transmitting a signal over a distance of ˜1m with losses < 50 dB and received-to-leakage signals ratio >20 dB.
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