作者:
Latha, R.Bommi, R.M.Simats
Saveetha School of Engineering Department of Computer Science and Engineering Chennai India
Enhancing manufacturing and industrial processes are achieved using smart sensors and actuators known as the industrial internet or things or IIoT. By implementing IIoT, machines transform into smart devices, communic...
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Using electrical energy in lighting systems in public and private facilities is extensive. Given that the available energy supply is minimal, it is necessary to save energy;one way to reduce the energy used is to util...
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this research is an application of information technology to efficiently manage the educational information of the School of Dentistry. Dental students must study medical history in teaching dentistry, although the sy...
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In this article, we propose a novel protocol that employs different technologies together, such as software Defined Network (SDN) for the purpose of offering scalability, programmability, and global network informatio...
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the goal of many companies is to provide auto drive system that meet SAE Level 5. Due to the much more complex software running on these systemsthan typical high-end cars today, a thorough testing strategy is require...
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Knowledge representation and reasoning require knowledge graph embedding as it is crucial in the area. It involves mapping entities and relationships from a knowledge graph into vectors of lower dimensions that are co...
Knowledge representation and reasoning require knowledge graph embedding as it is crucial in the area. It involves mapping entities and relationships from a knowledge graph into vectors of lower dimensions that are continuous in nature. this encoding enables machine learning algorithms to effectively reason and make predictions on graph-structured data. this review article offers an overview and critical analysis specifically about the methods of knowledge graph embedding which are TransE, TransH, and TransR. the key concepts, methodologies, strengths, and limitations of these methods, along with examining their applications and experiments conducted by existing researchers have been studied. the motivation to conduct this study is to review the well-known and most applied knowledge embedding methods and compare the features of those methods so that a comprehensive resource for researchers and practitioners interested in delving into knowledge graph embedding techniques is delivered.
By utilizing trusted computing and blockchain, a secure and dependable operating environment and management mechanism can be ensured in the Power Distribution IoT. the paper develops a distributed decision-making and ...
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Withthe further development of globalization of business, informatization of language services and networking of enterprise contents, terminology management is an essential part of current translation projects. the r...
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One of the key study topics in human-computer interaction is the design of intuitive and natural interaction modalities. Much effort has been put into developing systemsthat can interact with people in their native t...
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In this project, we design a wireless sensor network (WSN) intelligent scenic spot location service system based on ZigBee. [1]the project uses an intelligent location algorithm, which can observe the distribution of ...
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