Pub Date : 2023-09-01DOI: 10.36548/jitdw.2023.3.006
Shruti Gandhi, Charmy Patel
A growing trend in computer interaction approaches is human-computer interaction, which describes communication between a person and a computer and is known as a chatbot. A conversational agent, often known as a chatbot, is a computer program that attempts to provide responses that appear human during a conversation. Studies on several chatbot applications, are been carried out in this research on the areas of Natural Language Processing (NLP), the Natural Language understanding (NLU), and Intent recognition in recent years. There are several NLU applications in various fields, including Chatbots, search in natural language, voice-driven assistants, web- scale information extraction, legal discovery, and content summarization. Intent classification is one of the biggest challenges in NLP. Some of the chatbots classifies students requests to make them simpler to comprehend. A chatbot is an appliance of software that replicates and processes human communication to offer real-time digital assistance. Various tasks that were previously handled by human agents, like assistance to customers, medical counselling, digital commerce and issues addressing, are now being assigned to chatbots. Due to the appearance of machine learning techniques, the main step in chatbot development was defining the rules that would be used to create responses. Here are some strategies for chatbot applications and the machine-learning techniques that underpin them.
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Pub Date : 2020-03-15DOI: 10.36548/jitdw.2020.1.003
N. Bhalaji, E. ShanmugaSkandhVinayak
Ever since the concept of parallel processing and remote computation became feasible, Cloud computing is at its highest peak in its popularity. Although cloud computing is effective and feasible in its usage, using the cloud for frequent operations may not be the be the most optimal solution. Hence the concept of FOG proves to be more optimal and efficient. In this paper, we propose a solution by improving the FOG computing concept of decentralization by implementing a secure distributed files system utilizing the IPFS and the Ethereum Blockchain technology. Our proposed system has proved to be efficient by successfully distributing the data in a Raspberry Pi network. The outcome of this work will assist FOG architects in implementing this system in their infrastructure and also prove to be effective for IoT developers in implementing a Raspberry Pi decentralized network while providing more security to the data.
自从并行处理和远程计算的概念变得可行以来，云计算的普及率就达到了最高峰。虽然云计算在使用上是有效和可行的，但使用云计算进行频繁操作可能并不是最佳解决方案。因此，FOG 的概念被证明是更优化、更高效的。在本文中，我们通过利用 IPFS 和以太坊区块链技术实施安全的分布式文件系统，提出了一种改进 FOG 计算去中心化概念的解决方案。通过在树莓派（Raspberry Pi）网络中成功分发数据，我们提出的系统被证明是高效的。这项工作的成果将有助于 FOG 架构师在其基础设施中实施该系统，同时也将证明对物联网开发人员实施树莓派去中心化网络非常有效，同时还能为数据提供更多安全保障。
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