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Renewable Green hydrogen energy impact on sustainability performance 可再生绿色氢能源对可持续发展绩效的影响
Pub Date : 2021-12-19 DOI: 10.54489/ijcim.v1i1.46
Asem Alzoubi
In today's world, the major source of energy is fossil fuels, which are nonrenewable and cannot be used once exhausted. At the start of the twenty-first century, main challenges with current energy infrastructure throughout the world were a finite supply of fossil fuels, ever-increasing energy use, and the growing environmental impact of greenhouse gas emissions. Fossil fuel energy is economical due to existing infrastructure, but it has significant downsides and has a severe impact on the environment. As a result, renewable energy sources are being investigated as potential contenders to supply the bulk of energy demands. Hydrogen is the least harmful to the environment of these fuels. Hydrogen is a clean, long-lasting fuel with the potential that is the source of future global energy. It may potentially be used to replace current fossil-fuel-based energy infrastructure. This is seen as a solution to the above-mentioned challenges, such as global warming and environmental degradation. It is impossible to overestimate the relevance of environmental and economic factors in the development of hydrogen infrastructure. This article discusses the many aspects of hydrogen, including as manufacturing, storage, and applications, with a focus on the environment and the economy.
在当今世界,能源的主要来源是化石燃料,它是不可再生的,一旦耗尽就不能使用。21世纪初,全球能源基础设施面临的主要挑战是化石燃料供应有限、能源使用量不断增加以及温室气体排放对环境的影响日益严重。由于现有的基础设施,化石燃料能源是经济的,但它有明显的缺点,对环境有严重的影响。因此,人们正在研究可再生能源作为满足大部分能源需求的潜在竞争者。氢是这些燃料中对环境危害最小的。氢是一种清洁、持久的燃料,有潜力成为未来全球能源的来源。它可能被用来取代目前以化石燃料为基础的能源基础设施。这被视为解决上述挑战的办法,例如全球变暖和环境恶化。在氢基础设施的发展中,环境和经济因素的相关性不可能被高估。本文讨论了氢的许多方面,包括制造、储存和应用,重点是环境和经济。
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引用次数: 29
Assessment of Smart Home Assistants as an IoT 智能家居助手作为物联网的评估
Pub Date : 2021-12-19 DOI: 10.54489/ijcim.v1i1.34
Ahmed J. Obaid
A smart home personal assistant technology is an intrinsic system, which incorporates many elements such as users, Smart Home Personal Assistants (SPA) devices, cloud, skill provider and other responsive devices. Even though Smart Home Personal Assistants give a robust security and privacy options, the devices face many weaknesses, which make the system vulnerable and can be comprised by adversaries, who can capitalize on limitations to gain access to delicate information and privacy of users. In this research, the aim is to assess how invention and innovation of security and SPA can be harnessed by users to interrelate with the system. Subsequently, this write-up will address both the problems related to the system and attempt to bring in solutions, which makes the technology more adaptable and versatile to all users. Initial studies show that some of the weakness underlying the technology include the open-nature of the voice channel, complexity of the architecture, software implications, and the utility of the technology to less proficient users. As a result, the study anticipates at solving the voice squatting attack, using the SPA intelligent assistant, incorporating a filer to filter the ultrasonic attack and noise as well as trying to assess the efficacy of the elements developed against the voice squatting attacks. The study found out that there is a need to mitigate the attacks on the blockchain technology and Natural Language Processors (NLP) to assure protection of SPA from attacks.
智能家居个人助理技术是一个内在的系统,它包含了用户、智能家居个人助理(SPA)设备、云、技能提供者和其他响应设备等诸多元素。尽管智能家居个人助理提供了强大的安全和隐私选项,但这些设备面临许多弱点,这使得系统容易受到攻击,并可能被对手组成,他们可以利用限制来获取用户的敏感信息和隐私。在本研究中,目的是评估用户如何利用安全和SPA的发明和创新来与系统相互关联。随后,本文将讨论与该系统相关的问题,并试图提出解决方案,从而使该技术对所有用户更具适应性和通用性。最初的研究表明,该技术的一些弱点包括语音通道的开放性、体系结构的复杂性、软件影响以及该技术对不太熟练的用户的实用性。因此,该研究期望通过SPA智能助手,结合过滤器来过滤超声波攻击和噪音,并试图评估开发的对抗语音下蹲攻击的元素的功效,从而解决语音下蹲攻击。该研究发现,有必要减轻对区块链技术和自然语言处理器(NLP)的攻击,以确保SPA免受攻击。
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引用次数: 28
Blockchain Convergence: Analysis of Issues Affecting IoT, AI and Blockchain 区块链融合:影响物联网、人工智能和区块链的问题分析
Pub Date : 2021-12-19 DOI: 10.54489/ijcim.v1i1.48
S. Guergov, Neyara Radwan
The purpose of this study is to appraise the integration or convergence issues influencing the mutual functioning of blockchain, AI, and IoT. The study argued that the recent developments in the field of IoT and blockchain prediction have involved the integration of innumerable classification schemes to establish a hybrid model. The introduction of the hybrid technique relies on the prediction performance that strives to override the limitations of any available architectural scheme. This study offers a comprehensive exploratory appraisal of the issues influencing the successful integration of IoT and blockchain in regards to functionality and effectiveness of security, trust, and flawless communication issues. The exploratory research methodology was used in analyzing the issues affecting the integration of blockchain, artificial intelligence (AI), and the internet of things (IoT). The findings indicated that the integration challenges influencing the effective operations of blockchain, AI, and IoT as a single system involve security, scalability, accountability, and trust of communications. The study recommends that successful and effective integration will enhance the development of new business models as well as the digital transformation of market corporations. Accordingly, new approaches to convergence should ensure that executives address the new technology demands to obtain significant gains in efficiency.
本研究的目的是评估影响区块链、人工智能和物联网相互作用的整合或融合问题。该研究认为,物联网和区块链预测领域的最新发展涉及整合无数分类方案以建立混合模型。混合技术的引入依赖于力求超越任何可用体系结构方案限制的预测性能。本研究对影响物联网和区块链成功整合的问题进行了全面的探索性评估,涉及安全性、信任和完美通信问题的功能和有效性。探索性研究方法用于分析影响区块链、人工智能(AI)和物联网(IoT)融合的问题。研究结果表明,影响区块链、人工智能和物联网作为一个单一系统有效运行的集成挑战涉及安全性、可扩展性、问责制和通信信任。研究建议,成功和有效的整合将促进新商业模式的发展以及市场公司的数字化转型。因此,趋同的新方法应确保管理人员满足新技术需求,以获得显著的效率收益。
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引用次数: 35
The Universal Artificial Intelligence Efforts to Face Coronavirus COVID-19 通用人工智能应对冠状病毒COVID-19的努力
Pub Date : 2021-12-19 DOI: 10.54489/ijcim.v1i1.47
Maged Farouk
Artificial intelligence (AI) has already changed the world and has made an effective impact in a range of fields including industry, criminal law, health, national security, transport, nanotechnology, intelligent cities as well as issues such as algorithms and access to the data.  This paper shows how these technologies are a great asset to humans and are programmed to reduce human effort as much as possible. They tend to possess the capability to work in an automated fashion. Therefore, manual intervention is the last thing that could be asked for or seen while operating parts associated with this technology. As well as the paper shows the different universal efforts of AI techniques to face the pandemic of COVID-19.
人工智能(AI)已经改变了世界,并在一系列领域产生了有效影响,包括工业、刑法、卫生、国家安全、交通、纳米技术、智能城市以及算法和数据访问等问题。本文展示了这些技术如何成为人类的巨大财富,并被编程为尽可能减少人类的努力。他们倾向于拥有以自动化方式工作的能力。因此,在操作与该技术相关的部件时,人工干预是最不可能被要求或看到的。此外,本文还展示了人工智能技术在应对COVID-19大流行方面的不同普遍努力。
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引用次数: 20
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International Journal of Computations, Information and Manufacturing (IJCIM)
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