With the popularity of large data network, data mining technology can be used in human resource management and provide strong decision support. In this paper, the author put forward the application of birchclustering...
详细信息
With the popularity of large data network, data mining technology can be used in human resource management and provide strong decision support. In this paper, the author put forward the application of birch clustering algorithm in HRM database, and analyze the associated reasoning methods. Based on the multiple regression analysis, the result shows that strategic human resource management effectiveness has significant positive correlation with organizational innovation (p<0.01). At the same time, the model M6 show that the nature of the enterprise has a significant negative impact on organizational learning, and the industry has positive impact on organizational learning. The conclusion shows that organizational learning plays a complete intermediary role between strategic human resource management and management innovation.
An efficient Cluster Based Cab Recommender System (CBCRS) assists the cab drivers with the recommendations about passenger pickup location available at the shortest distance from him. To recommend drivers about the pa...
详细信息
The difficulty of deploying an RFID network optimally is brought on by the quick advancement of radio frequency identification (RFID) technology. It has been established that the RFID network planning (RNP) problem, w...
详细信息
The difficulty of deploying an RFID network optimally is brought on by the quick advancement of radio frequency identification (RFID) technology. It has been established that the RFID network planning (RNP) problem, which includes various constraints and objectives, is NP-hard. The research has given a lot of attention to the use of (EC) Evolutionary Computation and (SI) Swarm Intelligence for solving RNP, but the suggested methods experienced trouble regulating the number of readers deployed in the network. The complexity and cost of the network, however, are considerably influenced by the number of installed readers. In this study, we introduced a hybrid (BCPSO) algorithm that seeks to maximize tag coverage while minimizing interference, using as little power and as little load balancing as possible with a little number of readers. The suggested algorithm is a hybrid algorithm made up of a Chaotic Particle Swarm Optimization (CPSO) used to find the best positions for readers that incorporate the chaos approach into the PSO algorithm to increase randomness in the search for the PSO algorithm and addressed the issue of local minima, and a Balanced Iterative Reducing and clustering using the Hierarchies (birch) algorithm used to automatically count the number of readers and initialize the readers' coordinates. The proposed hybrid BCPSO algorithm improves the coverage of tags by 100% with the fewest readers while avoiding interference, and it also improves load balancing in three cases: case 30 by 99.94%, case 50 by 42.4%, and case 100 by 46.23%, according to comparison results between the proposed algorithm and the other algorithms in Jaballah and Meddeb (J Ambient Intell Human Comput 12:2905-2914, 2021. 10.1007/s12652-020-02446-5). and were compared the proposed hybrid BCPSO algorithm to the proposed algorithm in Cao et al. (Soft Comput 25: 5747-5761, 2021. 10.1007/s00500-020-05569-1), The comparison results demonstrate that the proposed hybrid BCPSO algorithm incre
Faradaic deionization (FDI) is an emerging water treatment technology based on electrodes able to remove ionic species from water by charge transfer reactions. It is a young and promising technology that has attracted...
详细信息
Faradaic deionization (FDI) is an emerging water treatment technology based on electrodes able to remove ionic species from water by charge transfer reactions. It is a young and promising technology that has attracted much attention due to its large capacity to store ions and the high selectivity of the faradaic electrode materials. This study reviews published papers on FDI from different angles: data mining, bibliometric and machine learning. Metrics such as annual growth rate, most important journals, relevant authors, collaborations maps, sentiment and subjectivity analysis, similarity and clustering analysis were performed. The results indicated that the strong interest in FDI really started in 2016, China is the most active country in FDI, and Desalination is the most important journal publishing FDI articles. The word cloud method showed that the most preferred adopted words are deionization, capacitive, electrode, material. Sentiment analysis results indicated that most of the researchers are optimistic about FDI technology. The title similarity method revealed that FDI researchers were successful in proposing unique and appropriate titles. The clustering approach stressed that FDI literature is concentrated on electrode material production, desalination application, lithium recovery and comparison with CDI.
暂无评论