Mobile Networks-on-Chip Mapping Algorithms for Optimization of Latency and Energy Consumption

Kumar, Arvind; Sehgal, Vivek Kumar; Vimal, S.; Sharma, Ashutosh; Park, Sangoh

doi:10.1007/s11036-021-01827-0

Cited by 14 publications

(6 citation statements)

References 20 publications

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“…In order to realize the optimized, develop and design library management system [18][19][20][21][22][23][24][25], analyze with data mining technology flow characteristics of the library management, and the resource distribution characteristics of the library are analyzed in the cloud computing environment [26][27][28][29], which mainly includes the characteristics of associated knowledge base information [30], computing resources [31][32][33], physical resources and logical resources [34-38. The data flow resource distribution of library management see Figure 2.…”

Section: Analysis Of Library Information Managementmentioning

confidence: 99%

Study on Library Management System Based on Data Mining and Clustering Algorithm

Wang¹,

Alroobaea

Baqasah

et al. 2023

IJCAI

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In order to improve the library's information retrieval and resource sharing capabilities and establish an intelligent library information management system, this paper proposes a library information management system development technology based on data mining technology. The system development is divided into two modules: library information retrieval and data mining algorithm design and software development of information management system. Using big data fusion and feature clustering methods to design intelligent information retrieval algorithm in library information management, establish library management database, carry out software development and design of library information management system in embedded environment, and finally carry out experimental test analysis. The test results show that using the method in this paper for library information management can improve the accuracy of book recommendation, which is 16.7% higher than the traditional method on average, and has good data mining and information retrieval capabilities. Performance indicators are better. Therefore, the algorithm is not only a means of automatic management of library systems, but also an effective means of realizing the modernization of library information.Povzetek: Sistem upravljanja knjižnice je nadgrajen z metodami strojnega rudarjenja in gručenja.

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Section: Analysis Of Library Information Managementmentioning

confidence: 99%

Study on Library Management System Based on Data Mining and Clustering Algorithm

Wang¹,

Alroobaea

Baqasah

et al. 2023

IJCAI

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“…Energy consumption is an important issue in the various NoC topologies, which has been studied by several task mapping approaches such as [88][89][90][91][92][93][94][95][96][97][98]. In [99], the exploration ow of task mapping algorithms by utilizing various NoC mesh shapes is proposed.…”

Section: Energy-aware Schemesmentioning

confidence: 99%

Towards Task Mapping Approaches in Network on Chips: A Comprehensive Survey

Màsdàrí

2023

Preprint

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One of the main stages of Network on Chip (NoC) is task mapping where the application tasks are mapped to the processing resources. Task mapping decisions have a direct impact on the NoC performance and can be classified as static or dynamic mapping methods. In this paper, we carry out a comprehensive systematic study of task mapping schemes in various NoCs. For this purpose, firstly, an overview of the task mapping's main concepts is presented. Then, a taxonomy of the mapping schemes regarding their objectives and applied mapping factors is presented and the studied schemes are categorized into fault-tolerant schemes, congestion-aware schemes, communication-aware approaches, temperature-aware methods, and energy-aware schemes. Afterward, their main contributions, provided services, and drawbacks of the proposed studies in the literature are illustrated. Moreover, a comprehensive discussion of various features of the investigated mapping methods is presented and issues such as the applied algorithms, simulators, datasets, and evaluation metrics are discussed. Finally, the concluding issues and open research areas are highlighted.

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“…Although face recognition technology is in continuous development and improvement [13][14][15][16][17][18][19][20], the recognition rate, anti-counterfeiting, fingerprint, retina, and other has a large gap [21][22][23][24][25]. The large passenger flow and complex environmental characteristics of urban rail transit also affect the application of face recognition technology in urban rail transit.…”

Section: Literature Reviewmentioning

confidence: 99%

Design and Study of Urban Rail Transit Security System Based on Face Recognition Technology

Guo

Xiao

Alroobaea

et al. 2022

IJCAI

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In the modern world, it is difficult to prevent terrorism due to the relatively closed environment, dense personnel, large passenger flow, long line and wide coverage of urban rail transit. Identity recognition is a core element of security. The design and study of an urban rail transit security system based on face recognition technology are proposed in this paper. Through the study on the face recognition algorithm of intelligent security systems in urban rail transit, the related introduction of face recognition technology is done. The analysis of the main mode of face recognition is carried out utilizing the practical application design ideas. The results by experimental analysis show that if FAR is set to a very low range (such as 0.1% or even 0.01%) meanwhile FRR can reach a very low level (such as less than 1%). Such a system has practical value and otherwise, it may face a large number of passenger affairs and complaints to be handled. When FAR is set to 0.1% and N is 1.6 million, FRR can reach 2.1%. However, according to the test, when the picture quality deteriorates (during image captured by a webcam), the FRR will increase by 2 to 3 times. If a Webcam is used for recognition in Mugshot, the lowest FRR of the three top algorithms is only 5.21%.Povzetek: Tehnologija prepoznavanja obrazov je uporabljena za nadzor osumljencev -teroristov na vlakih.

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Mobile Networks-on-Chip Mapping Algorithms for Optimization of Latency and Energy Consumption

Cited by 14 publications

References 20 publications

Study on Library Management System Based on Data Mining and Clustering Algorithm

Study on Library Management System Based on Data Mining and Clustering Algorithm

Towards Task Mapping Approaches in Network on Chips: A Comprehensive Survey

Design and Study of Urban Rail Transit Security System Based on Face Recognition Technology

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