Existing data asset identification schemes predomi-nantly rely on manual categorization methods, which are often associated with high costs and low accuracy. Consequently, there is an urgent need for more intelligent and automated solutions to enhance the efficiency and precision of data asset identification. To address this challenge, this paper proposes a pattern-matching-based vehicle data asset identification scheme, which leverages a pre-trained model to automatically generate asset labels for data fields, thereby enabling more efficient classification and identification of vehicle data assets. This model scheme generates corresponding classification prediction results based on the sequence of each input data item in the tabular data and assigns appropriate asset labels to each column of data. The experimental results show that, compared to other schemes, the scheme proposed in this paper demonstrates certain advantages in both recognition efficiency and accuracy.

The effectiveness of on-the-job training has been the focus of many researches in the area of training. It has been known as important to many business organizations. The focus of the present study is to find out if OJT is used in Saudi business organizations as training type to improve the KAS of employees. Thirty general managers and thirty HR managers were part of the sample group. The following research questions were studied: (1) Do companies in Saudi Arabia conduct on-the-job training to their employees as an organizational HR policy? (2) Do on-the-job training efforts of some companies in Saudi Arabia have shown effectiveness as perceived by the HR managers and general managers? (3) What are these perceived changes? and (4) What factors brought about the perceived success of on-the-job training in Saudi Arabia? The findings show that Saudi business organizations conduct on-the-job training to its employees as an organizational HR policy; HR managers and general managers perceive OJT as effective in effecting positive changes in the knowledge, attitudes and skills (KAS) of employees; changes include: increased knowledge, improved skills, and developed right attitudes toward work of trainees; and there are factors in the training that help in making the OJT successful such as: designing training that have appropriate objectives and assessment measures to the needs of the trainees and the organization, skilled trainers, appropriate and useful methods or processes, encouraging training preview and the trainee’s willingness to undergo training.

This contribution delivers theoretical analysis of the process and relevant findings related to the above process. Design solutions on used metal sheet holders for forming are presented in this article. In the experimental part we conducted laboratory tests using sheet metal samples. This contribution is complemented with discussion on the presented issue.

The aim of this paper is to analyse, following a theoretical framework, the scientific language used in the DSM-5 to diagnose “mental disorders”. In particular, the concepts of “science of mental disorders” and “scientific progress” are investigated and the epistemological and operative implications of their use are introduced, covering the fields of psycho-social sciences. Arguing from a interactionist theoretical perspective, for the first set of implications, the concepts of a-theoretical, objective and neutral, evidence-based research and the tools used in order to pursue diagnostic validity and reliability are analysed. For the second set, some consequences of the use of such concepts in the work of mental health professionals with their patients, are highlighted. In conclusion, some considerations about the relationship between the object of study, epistemological references and practical instruments are expressed.

The growth performance and intracellular lipid production potentiality of two identified yeast stains Candida tropicalis (S5) and Issatchenkia orientalis (D5) in N-limited medium under different carbon, nitrogen sources, carbon/nitrogen ratio and temperature was studied . Among all carbon sources, glucose was the best in lipid weight, lipid content, lipid yield and lipid productivity and recorded a large values (5.73&6.51gl-1) of cell biomass in both strains. The increases in cell biomass reached its maximum value by use of yeast extract in both strains (8.62 and 8.78gl-1, respectively). However, urea was the preferable N source for lipid production in both strains. On the other hand, KNO3 proved to be the lowest values treatment among all parameters. The interaction treatments yeast extract + (NH4)SO4 and Urea + peptone were unfavourable for cell biomass, but it was convenient for oil yield parameters in Candida. The data showed that the maximum cell biomass was obtained at 54 and 100 C/N ratio for Candida and Issatchenkia, respectively. The data also exhibited that designated sharp increases in lipid weight, lipid content and lipid productivity were developed by the two yeast strains reached their maximum values at C/N ratio 115 and 100, respectively. Further increase in C/N ratio resulted in drop in lipid weight; this drop was slight in Candida above 115, whereas it was drastically in Issatchenkia after C/N 100.

In currently, the revolution in a high-speed broadband network is the requirement and also endless demand for high data rate and mobility. To achieve above requirement, the 3rd Generation Partnership Project (3GPP) has been established the Long Time Evolution (LTE). LTE has established an improved LTE radio interface named LTE-Advanced (LTE-A) and it is a promising technology for providing broadband, mobile Internet access. But, better Quality of Service (QoS) to provide for customers is the main issue in LTE-A. To reduce the above issue, the packets should be utilized by using one of the most significant function of packet scheduling to upgrading system performance via determines the throughput performance. In existing scheme, the user with poor Channel Quality Indicator (CQI) has smaller throughput issue is not focused. In this paper, a Hybrid Weighted Round Robin with Shortest Job First (HWRR-SJF) Scheduling technique is proposed to enhance efficient throughput and fairness in LTE system for stationary and mobile users. In this proposed scheduling, to schedule users according to a different criterion like fairness and CQI. HWRR-SJF Scheduling has been proposed for scheduling of the users and it produces increased throughput for various SNR values simulated alongside Pedestrian and Vehicular moving models. The proposed method also uses a 4G-LTE filter or Digital Dividend (DD) in order to align the incoming signal. The digital dividend is used to remove white spaces, which refer to frequencies assigned to a broadcasting service but not used locally. The proposed model is very effective for users in terms of the performance metrics like packet loss, throughput, packet delay, spectral efficiency, fairness and it has been verified through MATLAB simulations.

In Unstable Mobile nodes in network does not maintain accuracy of data transmission as maximum level, since nodes characteristics are updated, then nodes receive data’s are intruded, its packet information is missed. For that time, congestion is made for current routing path, so consider that path is failure, also provide re transmission. It occupies more energy, and packet drop rate. In proposed Enhanced data Accuracy based Path Discovery (EAPD) technique is used to provide transmitting and receiving data has higher accuracy. It verifies the every node communication in routing path have maximum data accuracy, they are selected, otherwise communication data have minimum data accuracy is rejected. Backing route selection algorithm is constructed to avoid intrusion for communication period, it discovery the path, which are not loss the data from packets, since congestion is easily identified. It reduces energy consumption, and packet drop rate.

The future generation of wireless system is expected to provide multi class services, multimedia at any time anywhere with seamless mobility and Quality of Service (QoS). In such environment, optimal vertical handoff is a challenging issue. Unnecessary handoff causes wastage of network resources and thus affects the QoS of network. To reduce the handoff, in this paper, a Modified Cat Swarm Behaviour based Optimization (MCSBO) based handoff algorithm is proposed in heterogeneous wireless mobile network. Initially, resource-poor mobile nodes, and resource-rich mobile nodes are clustered using Modified Expectation Maximization (MEM) to reduce the handoffs efficiently. Here, parameters like packet loss rate, dynamic new calls blocking probability, Bandwidth, and Cost along with the velocity of the Mobile Terminal (MT) are considered for the design of the Handoff algorithm. The Membership Functions (MFs) for each of the parameter are determined and corresponding Membership Degrees are evaluated from their concerned MFs. The optimized fuzzification of the parameters is obtained via developing the appropriate weight vector. The weight vector is optimized using MCSBO algorithm. Experimental results show that the proposed algorithms attained best performance bandwidth utilization, handoff dropping rate and handoff rate compared to existing handoff decision vector algorithms.