Design of Internet of Things Business Model with Deep Learning Artificial Intelligence

Lee, Yong-Kyu; Park, Dea-Woo

doi:10.14257/ijgdc.2018.11.7.02

Cited by 10 publications

(7 citation statements)

References 2 publications

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“…Organizations to explore new possibilities, identify untapped market opportunities, and develop innovative strategies [12], data privacy and security are critical concerns, as the use of AI involves the processing of sensitive information [13], additionally, ethical considerations arise in the use of AI, such as transparency, fairness, and accountability [14]. In addition, AI is crucial for operations including marketing [10], customer management [15], product launches, after-sales services [16], and stock management [17], as well as for industry 4.0 activities [18]. Due to the speed at which decisions can be made, the ability to analyse complicated circumstances quickly, and the drop in operational costs, the use of specialized algorithms in these jobs produces competitive advantages [19].…”

Section: Literature Reviewmentioning

confidence: 99%

Role of Artificial Intelligence and Business Decision Making

Prasanth¹,

Vadakkan²,

Surendran³

et al. 2023

IJACSA

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Artificial Intelligence (AI) has emerged as a transformative technology with profound implications for various sectors, including business. In recent years, AI has revolutionized decision-making processes by providing organizations with advanced analytical capabilities, enabling them to extract valuable insights from vast amounts of data. The application of AI in businesses may force the sector to rely on quicker, less expensive, and more accurate marketing techniques. By utilizing the AI in marketing strategies, a business owner may increase audience reaction and build a strong online brand that can compete with others. In addition to marketing, it has the capacity to remodel a business with fresh concepts. Additionally, it provides solutions for challenging problems, aiding in the enormous business growth. The study's primary goal is to investigate how artificial intelligence and decision-making are deployed in business and tried to explore how AI is being used to enhance decision-making processes and how it is changing business models. The study reveals that the role of artificial intelligence in business decision making is transformative, offering significant advantages in terms of efficiency, accuracy, and innovation. AI-powered systems enable businesses to process and analyze vast amounts of data efficiently, leading to quicker and more informed decision making. Overall, the integration of AI in business decision making has the potential to drive organizational success and shape the future of business practices.

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Section: Literature Reviewmentioning

confidence: 99%

Role of Artificial Intelligence and Business Decision Making

Prasanth¹,

Vadakkan²,

Surendran³

et al. 2023

IJACSA

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show abstract

“…For example, in the spring and summer of 2019, "Helongfeng•Zhu Zheling," the designer carried out innovative designs combined with lilies. Another example is the "ZENG FENGFEI" 2019 series, which combines modern and traditional design to show a unique beauty [28][29][30].…”

Section: Freehand and Realisticmentioning

confidence: 99%

National Costume Art Design Optimization under the Background of Artificial Intelligence Decision Making and Internet of Things

Peng

Krutasaen

2022

Mathematical Problems in Engineering

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As the most external symbolic representation of the nation, national costumes are an integral part of the wonderful culture of the Chinese nation. Our country has many ethnic minorities and has a unique national costume culture, which provides rich resources for the art design of ethnic costumes. This paper uses artificial intelligence technology and Internet of Things technology to design a national costume element library system. In this system, users can match national costume suits according to their own preferences, and they can also transmit national culture to people through this system. After the system is designed, the system performance is optimized by interactive algorithms, and the availability of the system is verified by testing system security, stress resistance, concurrency, etc. Through the verification of the system designed in this paper, the national costumes designed by innovative technology can be copied in batches, which enhances the innovation of national costume design in our country and has high production efficiency. It is finally proved that the design results of this paper meet the design requirements.

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“…For smart prostheses, the recognition of human behavior can help obtain the phase of a person's gait and formulate motor control strategies based on different phases to help the human body move. Regarding the monitoring of the elderly, the recognition of human behavior can help to detect and issue alarms in real time for various dangerous behaviors such as falls and monitor various actions of the elderly [9,10]. For exercise detection, the recognition of human behavior can help to calculate the calories consumed by exercise behavior based on the duration of different behaviors and exercise intensity data [11], so as to achieve the purpose of real-time monitoring of human exercise [12].…”

Section: Introductionmentioning

confidence: 99%

Multifeature Fusion Human Motion Behavior Recognition Algorithm Using Deep Reinforcement Learning

2021

Mobile Information Systems

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Through the recognition and analysis of human motion information, the actual motion state of human body can be obtained. However, the multifeature fusion of human behavior has limitations in recognition accuracy and robustness. Combined with deep reinforcement learning, multifeature fusion human behavior recognition is studied and we proposed a multifeature fusion human behavior recognition algorithm using deep reinforcement learning. Firstly, several typical human behavior data sets are selected as the research data in the benchmark data set. In the selected data sets, the behavior category contained in each video is the same behavior, and there are category tags. Secondly, the attention model is constructed. In the deep reinforcement learning network, the small sampling area is used as the model input. Finally, the corresponding position of the next visual area is estimated according to the time series information obtained after the input. The human behavior recognition algorithm based on deep reinforcement learning multifeature fusion is completed. The results show that the average accuracy of multifeature fusion of the algorithm is about 95%, the human behavior recognition effect is good, the identification accuracy rate is as high as about 98% and passed the camera movement impact performance test and the algorithm robustness, and the average time consumption of the algorithm is only 12.7 s, which shows that the algorithm has very broad application prospects.

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Design of Internet of Things Business Model with Deep Learning Artificial Intelligence

Cited by 10 publications

References 2 publications

Role of Artificial Intelligence and Business Decision Making

Role of Artificial Intelligence and Business Decision Making

National Costume Art Design Optimization under the Background of Artificial Intelligence Decision Making and Internet of Things

Multifeature Fusion Human Motion Behavior Recognition Algorithm Using Deep Reinforcement Learning

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