Currently, GIS database management systems are widely used in order to organize and manage spatial data for different applications. Advantages of using such systems are: capability of data integration, control of data quality, updating of existing data and map production in various scales. Therefore, researchers tried to use GIS databases and integrate them with spatial data acquisition systems. Online integration of spatial database management systems with photogrammetric system which is one of the most important and reliable spatial data sources for GIS, makes it possible to control automaticallyrelationships among features simultaneously during spatial data entry to the database. In this research, for achieving the mentioned purposes, an on-line intelligent integrated system with capability of producing fully structured and consistent data was designed and implemented. Results of practical test of this system, has shown that the produced and stored data in spatial database are consistent and structurally acceptable. Moreover, time and costs of producing spatially structured and consistent data for GIS applications are significantly reduced.

Database management systems are the main part of information system that the size and complexity of these systems significantly have been increased in recent years. With the growing and being more complicated database management systems, database Administrators face more problems and challenges, so management of these systems is Time-consuming and costly. More over the main part of the total cost of ownership includes the cost of expert database administrator (DBA) who can manage these large and complicated systems. Autonomic databases by providing self-management functionality are caused to reduce the total cost of ownership for a database system. The self-management decisions as the automated schema database tuning depend on the database workload. One of the important issues in realizing the database automated tuning is workload monitoring and analysis for changes detection and schema re-tuning with this changes. In this paper is presented the feedback control loop for continuous monitoring and light-weight analysis of workload in NoSQL column-oriented database. This loop describes a design pattern for self-tuning feature and uses for workload change detection which require automated schema database re-tuning. The experimental results exhibit the effectiveness of the proposed solution for workload change detection.

In today's world of production, a large amount of information, including product and process design, assembling, material planning, quality control, planning, repair, maintenance, error detection, etc., is collected in database management systems and data warehouses. Therefore, the use of data mining in different areas of the production process has been growing dramatically in recent years. This paper reviews the studies on the discovery of knowledge and data mining applications as an important tool in the wider field of production. The purpose of this research is to provide a new framework for research efforts in relation to the current methods of using data mining in production based on the type of extracted knowledge, the used method and thus the identification of promising fields for study. The reviewed articles divide the application of data mining in the production process into four categories, including specifying, predicting, classifying and clustering. In this study, the applications of each tool mentioned in the different sections of the production of a product or service are introduced in order to expand the scope of future research.

There are two major problems in presenting massive spatial data. First one is presenting whole data in a low scale range، and the second one is presenting part of data in a high scale range. For each of these two regions it is needed special solutions for each of raster and vector data types. Most of database management systems provides three good built-in function solutions for three kinds of above problems. «Image Tiling» for high scale raster data type، «Image Pyramid» for low scale raster data type، and «Spatial Indexing» for high scale vector data type. In fact none of them offers a particular function for optimizing whole vector data presentation at low scale range. In this study، by using generalization algorithms، we implemented a pyramid vector structure for some massive layers of 1/25000 National Topographic Database maps which were about one gigabyte، and needed 80 seconds to be presented at 1/11000 000 scale. After preparing vector pyramid architecture، it was possible to present them all، in just a four seconds.

The general purpose of this study is to present a holographic model of higher education with a globalization approach in Islamic Azad universities of Mazandaran province in a qualitative paradigm. Therefore, the present study was conducted with the aim of holographic conceptualization of higher education with a globalization approach. For this purpose, the qualitative research approach and case study strategy were used. The statistical population of the study is the faculty members of the Department of Educational Management in Islamic Azad Universities of Mazandaran Province. Using purposive sampling method, ten experts were selected in this field. Data were collected using in-depth and semi-structured interviews and data analysis was performed using qualitative content analysis. Findings indicate that in this study, based on the information extracted through the research literature and interviews with experts, five dimensions (holistic environment, dynamic capacity building, intelligent structure, human capital and increasing self-management) in the form of fourteen components ( System fit with the environment, flexibility in the environment, organizational orientation, holistic teams, synergy, systems thinking, information sharing, organizational intelligence, lack of task specialization, empowerment, flexible thinking, total properties in components, crisis management and performance compassion For holography and five dimensions (new technology, new curricula, flexible structures, communications or other universities and faculty capabilities) in the form of seventeen components (use of technology in learning education, development of database management systems, creation of new mechanisms To collect, store knowledge, organizational learning, curricula based on environmental respect, curriculum based on creative problem-solving ability, curriculum based on respect for ethnicities, beliefs, norms, religions and beliefs of individuals, curricula based on responsibility Social resilience, flexibility in Individual and team learning, flexibility in the face of new environmental changes, flexibility in educating students, joint courses with world-renowned universities, exchange of students and university professors, applying the experiences of successful universities, paying attention to teaching quality, monitoring the latest changes in the field and ability to establish Relationships with internal and external stakeholders) were identified and categorized and presented in a model.

In today's medical information system, various data are stored to be analyzed or retrieved when necessary. Therefore, this study was conducted to determine the needs of stakeholders of athletes' medical information management system based on international standards.

The study population included athletes, clinical service providers and managers of sports medicine centers in Iran. In this study, comparison tables of selected countries were used to assess the needs of stakeholders and were quantitative-descriptive. To analyze the data obtained from the questionnaire, the number of answers obtained for each component was determined based on the Likert scale and according to the frequency of answers related to the options, the percentage of each was calculated and the components that were more than 50% were agreed upon.

Findings identified the initial data set, general components of the system and the initial assets of the Athlete Sports Medicine Information System. The results showed that the highest collective agreement about the presence of drug allergies and diabetes in the family's history was in the individual health records of athletes and the lowest agreement was reached on how to join the team. Stakeholder needs, compared to selected countries, included more details, including mental health information, that were not given much attention in the selected countries' datasets.

Based on the findings, it seems that a person's access to sports medicine information is a key point and a person can see and receive their information, problems and related health needs in a patient-centered treatment.

The Database Management System (DBMS) consists of a set of related data and a set of computer programs for access to that data. The data set is usually called a database, and the set of programs is usually called database management. Due to the importance of information in all developmental plans at all levels, the database is considered a valuable source. Consequently, its concepts and principles need to be elaborated. The purpose of this paper is to present the overall aspects of database system. In addition to describing the characteristics and capabilities of database system, its relationship with GIS is also discussed.

In today’s world, information and databases serve as the foremost basis in academic planning and management. For this reason, establishing Information systems (IS) is a prerequisite for managers and can be helpful in consistent and in-time evaluation of factors affecting the effectiveness, efficiency and access to accurate and appropriate information according to the conditions of higher education system in a country which ultimately leads to "suitable decision making" in turn. The main purpose of this paper is to explain the role of information systems with an accent on databases and their use in university planning and management. The method used for this research is a documentary analysis method. The results suggest that with regard to structure and features of academic systems, using information systems according to management levels which are appropriate for relatively weak-link and non-structural environments (such as universities) and considering a holistic method help to improving planning processes and managing universities. Furthermore, acknowledging information, perception of the complexities (not their diminution to limited aspects and features), knowing the capabilities and potentials of data bases based on imaging the clear status of databases and specifying proper role for them in planning and decision making seems crucial.

Tourism industry is one of the human activities that has benefited greatly from Information Technology. This paper presents a conceptual model for accommodation in tourism industry. This model shows how recommendation system improves tourism services. This system is a subsystem of Decision Support Systems and includes various elements such as management model base, data model base and user interface. This system receives the tourist's conditions and preferences from user interface and proposes a range of choices to them. So tourists can select the best choice among the proposed choices in respect to his or her preferences and reserve an accommodation.