4,736 research outputs found
A New Secure Data Dissemination Model in Internet of Drones
No full textData Dissemination is the distribution of data/statistics to the end users. With the adoption of Internet of Drones (IoD) environment for data dissemination, an efficient scheme is proposed which provides data integrity, identity anonymity, authentication, authorization, accountability (AAA) to the system model. We propose a system model having Ethereum based public blockchain distributed network in order to secure drone communication for the data collection and transmission. The proposed model provides secure communication between the drones and the users in a decentralized way. In this paper, blockchain technology is used for the storage of collected data from the drones and update the information into the distributed ledgers to reduce the burden of drones. It also provides integrity, authentication, and authorization to the collected data by the drones in the system model. Motivated by this consideration, the goal of this paper is threefold. First, we select a forger node from the number of drones. Second, we create blocks and validate their processes. Third, we provide secure data dissemination by applying Proof-of-Stake consensus mechanism. Afterward, we evaluate the security of the presented system model compared against the corresponding ones of some state-of-the-art in terms of communication time/cost. The results confirm that our system model is reliable and scalable for data dissemination in the IoD environment
Deep Learning in Robotics for Strengthening Industry 4.0.: Opportunities, Challenges and Future Directions
No full textThe twenty-first century is undergoing a fundamental transition in the way things are created and services are provided. The digitalization of services has resulted in a compelling, major change in the sector, which is now referred to as Industry 4.0. One of the major changes embracing this industrial revolution is the development of robotics. Today, with the tasks becoming increasingly complex, robots are more trusted to perform the tasks with accuracy. They are rapidly substituting human skills in terms of speed, accuracy, and replaceability. Over the years, they have made vital contributions to some of the major industries, like 3D printing, autonomous vehicles, computer chip building, health and safety, agriculture, and so on. Robotics is a key Industry 4.0 technology that gives significant possibilities in the realm of production. However, with the introduction of Industry 4.0, it has become increasingly impossible for a corporation to remain relevant without incorporating some type of intelligent technology. Big data, which is generated by a wide range of sensors, necessitates complicated systems capable of distilling usable information and making intelligent judgments. This is where technology such as artificial intelligence and deep learning may help. The major result of combining these technologies with modern robotics is the creation of intelligent factories that are very powerful, safe, and cost-effective. The current research discussed the function of deep learning in robots for bolstering Industry 4.0. The authors discussed the various ways in which deep learning algorithms may be employed to improve the performance of robotics systems. Object identification, robotic grip, acoustic modelling, and motion control are the four key subjects covered in the article. A subsequent study discusses some of the significant problems for the same
Surgical reconstruction or prosthetic rehabilitation following orbital exenteration: The clinician′s dilemma
No full textLemierre′s Syndrome presenting with neurological and pulmonary symptoms: Case report and review of the literature
No full textLemierre′s Syndrome (LS) is a potentially life-threatening condition, characterized by clinical or radiologic evidence of internal jugular vein thrombosis following an oropharyngeal infection, most commonly by Fusobacterium necrophorum. A high index of suspicion and early recognition is important for successful management and to prevent systemic complications like multiorgan failure with extremely high morbidity, prolonged hospitalization and, not uncommonly, death. We are reporting a rare case of LS that was complicated with internal jugular vein and cavernous sinus thrombosis along with lung metastatic lesions, which was diagnosed and treated at our institute
Secure video communication using firefly optimization and visual cryptography
No full textIn recent years, we face an increasing interest in protecting multimedia data and copyrights due to the high exchange of information. Attackers are trying to get confidential information from various sources, which brings the importance of securing the data. Many researchers implemented techniques to hide secret information to maintain the integrity and privacy of data. In order to protect confidential data, histogram-based reversible data hiding with other cryptographic algorithms are widely used. Therefore, in the proposed work, a robust method for securing digital video is suggested. We implemented histogram bit shifting based reversible data hiding by embedding the encrypted watermark in featured video frames. Histogram bit shifting is used for hiding highly secured watermarks so that security for the watermark symbol is also being achieved. The novelty of the work is that only based on the quality threshold a few unique frames are selected, which holds the encrypted watermark symbol. The optimal value for this threshold is obtained using the Firefly Algorithm. The proposed method is capable of hiding high-capacity data in the video signal. The experimental result shows the higher capacity and video quality compared to other reversible data hiding techniques. The recovered watermark provides better identity identification against various attacks. A high value of PSNR and a low value of BER and MSE is reported from the results.No Full Tex
Data mining : the textbook / Charu C. Aggarwal.
No full textcomputer bookfair2016Includes bibliographical references and index.xxix, 734 pages
Transverse momentum spectra and nuclear modification factors of charged particles in Xe–Xe collisions at sNN=5.44TeV
No full textTransverse momentum (p(T)) spectra of charged particles at mid-pseudorapidity in Xe-Xe collisions at root s(NN) = 5.44 TeV measured with the ALICE apparatus at the Large Hadron Collider are reported. The kinematic range 0.15 show a remarkable similarity at p T > 10 GeV/c. The centrality dependence of the ratio of the average transverse momentum in Xe-Xe collisions over Pb-Pb collision at root s= 5.02 TeV is compared to hydrodynamical model calculations. (C) 2018 The Author. Published by Elsevier B.V
Post-reform economic development in Punjab: constraints and remedies
No full textPunjab economy has experienced a down turn in its economic development in the post-reform period compared with acceleration of economic growth of the Indian economy as well as other dynamic states. Therefore, a legitimate question arises why Punjab economy could not develop at a rate that has experienced by the Indian economy. An attempt has been made in this paper to explore economic development experience of Punjab economy in a comparative perspective to arrive at the factors that have contributed to the down turn in economic growth during the post-reform period. Alternative path of structural transformation has been worked out to rejuvenate and rebuild the economy of Punjab in the long run. Policy suggestions that can reverse the down turn in economic growth in short to medium term have also been identified.Punjab economy, economic development, deceleration of economic growth, Structural transformation, alternative path of development
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