• Korean Security Journal
• /
• no.19
• /
• pp.43-66
• /
• 2009

For the quality improvement on private security industry, the quality of personnel in private security should be advanced through the systematic training. If the personnel in private security provide an advanced service in applying knowledge and technique to the field when in training, they can obtain the reliability from people. With the point of this side, practical and systematic training is essential to the restoration on the private security industry. The personnel of private security face many people in the field. So they must work with an active concept that can prevent additional crime from behavior suspicions through scientific observation method and systematic inquiry method rather than negative work with providing a friendly service in the field. For conducting this concept, therefore, this study suggested the improvement training program of "Question and Research Guides" from new employee training on existing private security. The scientific observation standard is specifically suggested from the study 'people watching' of Professor Morris, D. and an act contact question from lead technique that US FBI, police, and inspection institute are taking through the feature of human act and 'METT' that is the program for emotion capture training through human minute look is going to be applied on "Question and Research Guides" training. This will provide the educational mood for students with the training content that is available for the practical training program and the real work, and will help to restore the private security industry with obtaining people's reliability through the scientific work and advanced field treatment.

• International Journal of Computer Science & Network Security
• /
• v.24 no.2
• /
• pp.59-66
• /
• 2024

This paper presents the concept and characteristics of cloud computing, and it addresses how cloud computing delivers quality of service (QoS) to the end-user. Next, it discusses how to schedule one's workload in the infrastructure using technologies that have recently emerged such as Machine Learning (ML). That is followed by an overview of how ML can be used for resource management. This paper then looks at the primary goal of this project, which is to outline the benefits of using ML to schedule upcoming demands to achieve QoS and conserve energy. In this survey, we reviewed the research related to ML methods for predicting workloads in cloud computing. It also provides information on the approaches to elasticity, while another section discusses the methods of prediction used in previous studies and those that used in this field. The paper concludes with a summary of the literature on predicting workloads and optimising QoS in the cloud computing.

• Journal of Information Technology Services
• /
• v.7 no.2
• /
• pp.41-57
• /
• 2008

The development of service-based software and web-based application aims for providing user-demand service. On-demand software is emerging for same reason. Software delivery models like on-demand software is expected to change the software industry as an important technical revolution with the firm's strategy. Few research, however, has been done on the on-demand software. While much research on ASP and SaaS focused on firm' use, this study intends to examine the intention of using on-demand software targeting personal user. The intention to use of on-demand software was empirically examined in terms of quality, user characteristics, usefulness, easy of use, and security. Results shows that usefulness and easy of use are most significantly related to the intention of using on-demand software. Other factors are also found to affect the intention to use of on-demand software. This study contributes to improve the understanding and interest in on-demand software and it is expected to spread widely for individual user.

• International Journal of Computer Science & Network Security
• /
• v.23 no.6
• /
• pp.68-76
• /
• 2023

Nowadays, the power of data analytics in general and visual data analytics, in particular, have been proven to be an important area that would help development in any domain. Many well-known IT services best practices have touched on the importance of data analytics and visualization and what it can offer to information technology service management. Yet, little research exists that summarises what is already there and what can be done to utilise further the power of data analytics and visualization in this domain. This paper is divided into two main parts. First, a number of IT service management tools have been summarised with a focus on the data analytics and visualization features in each of them. Second, interviews with five senior IT managers have been conducted to further understand the usage of these features in their organisations and the barriers to fully benefit from them. It was found that the main barriers include a lack of good understanding of some visualization design principles, poor data quality, and limited application of the technology and shortage in data analytics and visualization expertise.

• Journal of Information Technology Services
• /
• v.7 no.4
• /
• pp.209-219
• /
• 2008

Recently the number of Internet firms providing useful information like weather forecast data is growing. However most of such information is not prepared in accordance with customers' demand, resulting in relatively low customer satisfaction. To upgrade the service quality, it is recommended to devise a system for customers to get involved in the process of service production, which normally requires a huge investment on supporting computer systems like clusters. In this paper, as a way to cut down the budget for computer systems but to improve the performance, we extend the HPC cluster system to include other Internet servers working independently on the same LAN, to make use of their idle times. We also deal with some issues resulting from the extension, like the security problem and a possible deadlock caused by overload on some non-dedicated nodes. At the end, we apply the technique in the solution of some 2D grid problem.

• International Journal of Computer Science & Network Security
• /
• v.22 no.6
• /
• pp.163-171
• /
• 2022

Online services are widely spread, and their use increases day by day. As COVID-19 spread and people spent much time online, fraud scams have risen unexpectedly. Manipulation techniques have become more effective at swindling those lacking basic technological knowledge. Unfortunately, a user needs a quorum. The interest in preventing scammers from obtaining effective quality service has become the most significant obstacle, increasing the variety of daily Internet platforms. This paper is concerned with analyzing purchase data and extracting provided results. In addition, after examining relevant documents presenting research discussing them, the recommendation was made that future work avoids them; this would save a lot of effort, money, and time. This research highlights many problems a person may face in dealing with online institutions and possible solutions to the epidemic through theft operations on the Internet.

• International Journal of Computer Science & Network Security
• /
• v.23 no.7
• /
• pp.16-22
• /
• 2023

Enhanced radio access technologies (RAT) are deployed in Next Generation Convergence Networks by the service providers so as to satisfy the basic requirements of end-users for e.g. QoS. Whenever the available resources are being shared simultaneously and dynamically by multiple users or distribution of allocated channels randomly, the deficiency of spectral resources and dynamic behavior of Network traffic in real time Networking, we may have problem. In order to evaluate the performance of our proposed algorithm, computer simulation has been performed on NS-2 simulator and a comparison with the existing algorithms has been made.

• Journal of Information Technology Applications and Management
• /
• v.17 no.1
• /
• pp.83-105
• /
• 2010

The competence of enterprise for managing information is evaluated not by the amount of information but by the quality of information such as response time, data consistency, and data correctness. The degradation of data quality is usually caused by the inappropriate process of managing the structure and value of stored data. According to the recent survey on the actual condition of data quality management, the correctness and consistency of data appeared to be the most problematic area among the six criteria of data quality management such as correctness, consistency, availability, timeliness, accessibility, and security. Moreover, the problem was more serious in case of small and medium-sized companies than large enterprises. In this paper, therefore, we attempt to propose a new data quality control methodology for small and medium-sized companies that can improve the correctness and consistency of data without consuming too much time and cost. To adopt the proposed methodology to real application immediately, we provided some scripts for as-is analysis and devised automation tools for managing naming rules of vocabulary, terminology, and data code. Additionally, we performed case study on the distribution service of a small-sized company to estimate the applicability of our tool and methodology.

• Convergence Security Journal
• /
• v.8 no.2
• /
• pp.51-56
• /
• 2008

In this paper presents the method of the Optimal Mobile Router Designation (OMRD) using QM(Quality of service Manager) in the nested mobile network. QM is positioned on TLMR (Top Level Mobile Router) in the nested mobile network and manages the information of all MRs in the mobile network. When MN (Mobile Node) moves to a new MR, OMRD (Optimal Mobile Router Designation) selects the candidate MRs group and decides an optimal MR considering the mobile characteristics. OMRD reduces maximally the production of handover and removes the transmission delay of a new call and a handover call resulted from the wireless insufficient resource. Also, it prevents the concentration in a specific MR and maintains equally the load of the whole network.

• International Journal of Computer Science & Network Security
• /
• v.22 no.9
• /
• pp.327-333
• /
• 2022

Wireless Sensor Networks (WSNs) plays an important role in our everyday life. WSN is distributed in all the places. Nowadays WSN devices are developing our world as smart and easy to access and user-friendly. The sensor is connected to all the resources based on the uses of devices and the environment [1]. In WSN, Quality of Service is based on time synchronization and scheduling. Scheduling is important in WSN. The schedule is based on time synchronization. Min-Max data size scheduling is used in this proposed work. It is used to reduce the Delay & Energy. In this proposed work, Two-hop neighboring node is used to reduce energy consumption. Data Scheduling is used to identify the shortest path and transmit the data based on weightage. The data size is identified by three size of measurement Min, Max and Medium. The data transmission is based on time, energy, delivery, etc., the data are sent through the first level shortest path, then the data size medium, the second level shortest path is used to send the data, then the data size is small, it should be sent through the third level shortest path.