Ready-made Software Research Articles

Networked library information interaction, the case of the central library of Pushchino Scientific Center of the Russian Academy of Sciences

The issues of networked library interaction is examined and exemplified by the experience of the Pushchino Scientific Center Central Library (division of the Library for Natural Sciences of the Russian Academy of Sciences, LNS RAS). Ready-made software solutions designed by LNS RAS specialists enabled the participating libraries to implement computer-aided collection development system, union reference aids, online ordering, lending and refusal registration, digital resources access system. The authors focus, in particular, on specific networked interactions between the scientific library and users of its information services. Within the framework of the Library-Research Institute of Pushchino Center cooperation, the main efforts of the Library are focused on implementing modern network technologies, providing access to information resources, research information support, developing union Internet-based catalogs within the online order system, designing problem-oriented databases and maintaining current list of networked resources in physico-chemical biology. New library services are described, e.g. bibliometric and patent research, design and maintenance of the library website. Approaches to building network interaction with libraries of various types, institutions of memory (archives, museums, etc.), publishers’, and mass media, are discussed. The authors come to the conclusion that networked cooperation is efficient organizational and technological instrument to provide equal use opportunities for every member of library information network.

Востребованность средств автоматизации бизнес-процессов среди промышленных предприятий России в рамках «Индустрии 4.0»

The article examines the prerequisites for the formation of Industry 4.0 in Russia within the framework of which companies need to use business process automation tools, assesses the state of the global and domestic market for ERP systems and automation tools, reveals the dependence of the use of ready-made software and Open Source technologies.

DEVELOPMENT OF ARCHITECTURE OF MESSAGE QUEUE BASED INFORMATION SEARCH SYSTEMS FOR ENTERPRISE INFORMATION SYSTEMS

oday, information search has become not only an ordinary skill for users of information systems, but also an essential part of business. The amount of data that organizations own is growing day by day. Accordingly, it becomes difficult to find the necessary information in this data, especially if it is allocated in different storages. To facilitate the search in enterprise information systems, information search systems with a single graphical interface and ability to search in different data sources are used. There are ready-made software packages on the market, though some companies opt out to develop their own search engine. In the latter case, however, it is critical to be scrupulous designing the system architecture to comply with all the requirements that are imposed on this kind of software today. Information search systems for enterprise information systems. The purpose of the study was to describe the main architectural approaches to developing information search systems and identify their strong and weak points; to form basic ideas for the development of the architecture of information search systems based on message queues and to describe the main components of such systems; to elaborate on the key aspects of the practical implementation of the data warehouse of user search queries and the results of their processing. The paper considers the results of studies on the typical problems which employees face during information search in enterprise applications. The authors evaluate the existing architectural approaches to information search systems, analyze and compare two of the most popular message brokers. The article substantiates the relevance of the problem of finding information in enterprise information systems. The authors provide a description of the main approaches to the architecture of information search systems, go into their advantages and disadvantages, and provide architectural diagrams of the components. The microservices that make up a message queue-based system are described. Kafka is chosen and substantiated as the most suitable message broker. The authors also give a graphical scheme of handling errors that arise during search services operation.

A Reconfigurable Notched Band Monopole Antenna for C-Band Applications

In this paper, a wideband monopole antenna with reconfigurable frequency notch through wireless local area network (WLAN) (5.15-5.35GHz and 5.725-5.825GHz) or future wireless fidelity 6GHz (Wi-Fi-6E) (5.925-7.125GHz) band for C-band applications is presented. The conventional/basic monopole antenna consists of four-leaf clover antenna structure with cascaded feeder and Defected Ground Structure (DGS). The basic antenna is designed and then simulated using Computer Simulation Technology (CST) and High-Frequency Structure Simulator (HFSS) readymade software programs. The antenna covering an operational bandwidth extends from 4.2GHz to 9.2GHz while the gain is around 4.0dBi. Two simple resonator conductors are added near the thin feeder of antenna to realize the notched frequency. The rejected frequency within WLAN or Wi-Fi 6E bands is controlled by the resonator conductor lengths, so Positive-Intrinsic-Negative (PIN) diodes switches are inserted to achieve the required length for each rejected band. Finally, each of the basic antenna and the proposed notched antenna are fabricated and measured. The measurement results are in good agreements with the simulated results of CST and HFSS, providing good antenna performance and sharp notches with good rejection values.

Development of a program for diagnosing diseases by the test recognition method

Theory of pattern recognition is an important theoretical and applied area in computer science. Depending on the nature of the task for recognition are used different approaches. In this article the authors investigate the current state of the use of supercomputers in the field of medical diagnostics and propose an affordable applied solution for diagnosing diseases based on the use of test recognition. Test recognition is based on such a combinatorial-logical approach as a test algorithm. Test algorithms are based on the analysis of a set of deadlock table tests and depend on the dimension of a given matrix of objects and their features. A deadlock test is an incompressible set of features that contains all the information about dividing a table into classes. In this work briefly presents the chronology of the development of test algorithms for solving recognition problems. The authors have developed an interpretation of the test algorithm to automate the diagnosis of diseases by identifying the proximity of the desired subset (available symptoms) to one of the existing ones (diagnoses) by defining deadlock tests. In addition to the presented algorithm, screenshots are presented with an example of a step-by-step solution in the form of a console application created in the high-level programming language C#. On the basis of the developed algorithm, the authors propose an example of a ready-made software solution in the form of a window application for diagnosing diseases based on the patient's symptoms. The developed software solution allows to mark the patient's symptoms and automatically calculate the most probable disease. The program narrows the range of acceptable values (diagnoses) depending on the symptoms marked by the user and provides an assessment of possible diseases, helping the doctor in making a diagnosis and minimizing errors made by the human factor. The article provides an assessment of the advantages and disadvantages of the developed solution, considers other areas of application of test recognition

Improving the performance of processing special computing tasks using an asynchronous actor model

The use of third-party ready-made solutions to perform special computing tasks (SCT): processing text arrays in a natural language, the use of cryptography methods in data transmission networks, machine learning in solving applied problems, scientific computations and many other ones is a common practice in modern development of software systems. However, the use of third-party ready-made software solutions often leads to their poor optimization for parallel and distributed operation and to the difficulty in vertical and horizontal scaling, impossibility of modifying a solution, e.g., due to its legal protection, etc. In order to solve these problems, an asynchronous actor model can be used that facilitates developing software for processing special computing tasks. In addition, an asynchronous actor model allows parallel processing of input tasks, provides asynchronous operation, and extends its functionality to third-party ready-made solutions, that it is impossible or forbidden to modify to meet user’s or optimization requirements. Methods, algorithms, and the entire logic of asynchronous actor operation involve transitions of actors from one state to another under the effect of input messages and returning the results of processed tasks to the frame system. This allows setting an automatic grammar and for using methods and approaches for developing software systems based on finite-state automata. The asynchronous actor operation scheme is represented by a directional state graph, which allows using the mathematical apparatus of the finite-state automaton theory (the Mealy model) to describe the same. The developed model is convenient for designing and organizing the SCT processing using computer systems. The use of the asynchronous actor model makes it possible, in special operation modes, to increase the performance of poorly optimized SCT without modifying the same, as compared to task processing without using the asynchronous actor model.

Automation of business processes of an educational organization: Financial module

The national program “Digital Economy of the Russian Federation” and the modernization of education, the transition to new professional standards, the need for personnel with digital competencies, make it necessary the automation of the main and auxiliary business processes of the educational organization at different levels of management. The article presents the results of the research, the object of which is the management of educational, scientific and educational activities, the subject of the research is the process of creating a unified information and educational environment of the university, the purpose of the research is the automation of business processes that contribute to the adoption of competent and operational management decisions in accordance with the Federal Law “On Education in the Russian Federation”. The article deals with the issues of designing the educational environment of university on the basis of object-oriented and structural approaches. The experience of an educational organization in designing a unified information space based on modules (subsystems) that automate the main business processes related to the management of educational activities in the South Ural State Humanitarian Pedagogical University is described. The article describes the software solution used by the university to achieve its goals by integrating it into the main and auxiliary business processes. The experience of designing a unified information and educational environment based on the 1C:University PROF system at the South Ural State Humanitarian Pedagogical University can be used by other educational organizations to build an integrative management system based on ready-made software systems.

Approach to form the territorial system development strategy using simulation and scenario modeling tools

The studies were carried out in the problematic of improving the tools for implementing economic policy which ensure widespread use of strategic planning and regulation methods in real practice of managing the territorial systems development at various levels. The article highlights the most pressing problems of improving the efficiency of socio-economic development planning for territorial systems, including in the context of the modern digital economy development. The need for implementation analytical processing systems and the management information effective use to substantiate strategic decisions is indicated as the priority problem. The comparative assessment of the well-known methodologies, methods and ready-made software solutions in modeling the economy of territorial socio-economic system at the different levels is carried out. Their strengths and weaknesses are identified for solving the identified problems and priority tasks of territorial development. The basic principles and requirements are formulated for the territorial socio-economic system’s development predicting tools. The conceptual scheme for implementing the simulation model is proposed. In general terms, the scheme provides the adaptation of the SAM methodology to formalize economic agents’ expenses and incomes balance. At the same time it involves the use of econometric methods, fuzzy logic theory and soft computing algorithms. The statement of the simulation problem is considered, the structure and the block’s relations logic for the simulation model are described. It is proposed to formalize the basic parameters connections of the model in two groups: in the first group the system relations of the model parameters are identified and formalized by SAM methodology; in the second group the factor relations are identified and formalized using econometric methods. Some results of forecasting calculations are given as part of the substantiation of the strategy for socio-economic development of the of Ufa city for the period until 2030.

ОСОБЛИВОСТІ ПРОГРАМНИХ РІШЕНЬМОДЕЛЕЙ ЛОГІЧНИХ ДЕРЕВ КЛАСИФІКАЦІЇ НА ОСНОВІ СЕЛЕКЦІЇ НАБОРІВ ЕЛЕМЕНТАРНИХ ОЗНАК

Urgency of the research.Currently there are several independent approaches (concepts) to solve the classification problem in the general setting, and the development of various concepts, approaches, methods, and models that cover the general issues of the theory of artificial intelligence and information systems, all of these approaches in a recognition theory have their advantages and disadvantages and form a single tool to solve applied problems of the theory of artificial intelligence. This study will focus on the current concept of decision trees (classification trees). The general problem of software (algorithmic) construction of logical recognition trees (classification) is considered. The object of this research is logical classification trees (LСT structures). The subject of the research is actual methods and algorithmic schemes for constructing logical classification trees. Target setting.The main existing methods and algorithms for working with arrays of discrete information in the construc-tion of recognition functions (classifiers) do not allow you to achieve a predetermined level of accuracy (efficiency) of the classification system and regulate their complexity in the construction process. However, this disadvantage is absent in meth-ods and schemes for building recognition systems based on the concept of logical classification trees (decision trees). That is, the coverage of the training sample the set of elementary signs in the case of LCT generates a fixed tree data structure (model LCT), which provides compression and conversion initial data TS, and therefore allows significant optimization and savings of hardware resources of the system, and is based on a single methodology – the optimal approximation test sample set of elementary features (attributes) that are included in some schema (operator) constructed in the learning process.Actual scientific researches and issues analysis. The possibility of an effective and economical software (algorithmic) scheme for constructing a logical classification tree (LCT structuremodel) based on the source arrays of training samples (arrays of discrete information) of a large sample.The research objective. Development of a simple and high-quality software method (algorithm and software system) for building models (structures) LCTfor large arrays of initial samples by synthesizing minimal forms of classification and recog-nition trees that provide an effective approximation of educational information with a set of ranked elementary features (at-tributes) is created on the basis of ascheme for branched feature selection in a wide range of applied problems.The statement of basic materials. We propose a general program scheme for constructing structures of logical classifi-cation trees, which for a given initial training sample builds a tree structure (classification model), which consists of a set of elementary features evaluated at each step of building the model for this sample. A method and ready-made software system build logic trees the main idea is to approximate the initial random sampling of the volume set of elementary features. This method provides the selection of the most informative (qualitative) elementary features from the source set when forming the current vertex of the logical tree (node). This approach allows to significantly reduce the size and complexity of the tree (the total number of branches and tiers of the structure) and improve the quality of its subsequent analysis.Conclusions. The developed and proposed mathematical support for constructing LCT structures (classification tree mod-els) allows it to be used for solving a wide range of practical problems of recognition and classification, and the prospectsfor further research may consist in creating a limited method of logical classification tree (LCT structures), which consists in maintaining the criterion for stopping the procedure for constructing a logical tree by the depth of the structure, optimizing its software implementations, as well as experimental studies of this method for a wider range of practicalproblems.

ПРИМЕНЕНИЕ ИНФОРМАЦИОННО-КОММУНИКАТИВНЫХ ТЕХНОЛОГИЙ В УСЛОВИЯХ ДИСТАНЦИОННОГО ОБУЧЕНИЯ

In modern conditions of informatization of society, the use of information and communication technologies is becoming a necessity. The Internet provides tremendous opportunities to improve the process of language learning, increase motivation and enhance learning activities. In the educational process, teachers can use both ready-made software tools and materials from the Internet, and independently developed electronic textbooks, interactive tasks and tests based on Internet technologies. The author analyzes various platforms that allow you to organize the educational process in the format of distance learning. The article discusses various online services that allow you to create interactive tasks in the discipline for distance learning and in online format. The article provides practical recommendations on the implementation of information and communication technologies in the process of language learning. The author has developed various interactive tasks in the Russian language based on ready-made templates offered by various Internet services and designers. The author explains how to implement such services as Learning Apps, H5P Designer, Learnis educational platform to create your own interactive tasks,. The use of a set of exercises based on interactive technologies is considered as a promising and effective direction of the scientific and methodological work of the teacher. The author concludes that the use of information and communication technologies will increase the level of information competence, motivation in language learning, cognitive activity and logical thinking.

Transformation of the Banking Sector in the Digital Era

In the context of global digitization of the economy and development of alternatives to banking services, the transition to open platforms and their integration with the FinTech sector becomes relevant. The article identifies four levels of integration between banks and FinTech companies: traditional banking, digital banking, open banking and Open-X banking. At the current stage, the first three models coexist. Traditional banking includes classic banking services (loans, deposits, payments) for individuals and corporate clients, as well as investment banking. Digital banking involves the use of various channels of banking services for clients, among which the digital channel plays a significant role. The analysis of digital banking let to define its main features in terms of the financial services consumers and the bank. Open banking is based on the bank’s ability to engage non-banking intermediaries ecosystems and third parties to the banking service provision and to interact with them through such technologies as application programming interfaces (API). In the research of the оpen banking the main reasons for the cooperation of FinTech companies with banks are considered. These include inhanced visibility by partnership with an established brand, achieving economies of scale, etc. The highest level of integration of banks and FinTech companies and the future development trend of the banking sector is Open-X banking. The main features of Open-X banking include: sharing rather than sole ownership; information is a primary resource instead of tangible assets; partnerships between market actors are formed instead of developing the product independently or purchasing ready-made software solutions; focus on providing a positive customer experience from working with the bank instead of offering a specific product. Key words: banking sector, banking services, digital banking, digitalization, FinTech, integration, open banking.

A Planning and Scheduling Method for Large-Scale Innovation Projects

We consider the problem of uniform allocation according to the minimax criterion of a non-renewable resource of an innovative project's activities. A lexicographic method is used for ordering these minimax criteria To solve the problem - one objective function - developed a greedy heuristic for finding the maximum path on an acyclic digraph with double weights on arcs. The greedy heuristic gives approximate solution of the problem mentioned. The obtained solution allows building a project resources plan and schedule with four types of temporary slacks with inaccurate initial data. The proposed approach allows performing an analysis of the project Risk of Performance parameter, for which has not developed the apparatus for its analysis. These include the risks that the project when complete fails to perform as intended or fails to meet the mission or business requirements that generated the justification for the project. Performance risks are estimated on the probability distribution function of a favorable/unfavorable outcome. Proposed lexicographic disintegration is a decomposition procedure and is suitable for planning and scheduling large-scale projects. Practical calculations for the convex problem in the initial statement may be performed with the help of ready-made software, and the obtained greedy solution of the problem-consequence has theoretical significance in graph theory.

The development of a decision support information-modeling system for safety in the chemical industry

The analysis of the urgency of developing a decision and support information-modeling system for safety in the chemical industry is carried out. The article also covers the main elements of this information-modeling system. Key normative documents backing up the knowledge base of such an information-modeling system are listed below. The algorithm of the safety decision supporting information-modeling system is proposed. A database model of the safety decision supporting information-modeling system is elaborated below. A production rule system is set forth to manage issuing recommendations on the robust decision support information-modeling system in the chemical industry based on a methodological document. An implementation plan is laid out for the robust decision support information-modeling system in chemical industry. It is a ready-made software package based on two-level (client–server) architecture of information systems. This article also contains recommendations based on a test case of a tank equipment total destruction. Results of the computational experiments’ simulation in the TOXI+Risk software corresponding to the test selected values are available.

A dynamically consistent discretization method for Goodwin model

Abstract In economic theory the majority of macroeconomic models describing economic growth employ differential equations or sets of differential equations (see, among all, Solow, 1956 and Haavelmo, 1954). Nevertheless, economic data are usually available in discrete time. Therefore, when attempting to apply these models it is often necessary to use their discrete form, i.e. difference equations. To this aim, more and more often authors propose and analyse discrete versions of the models originally built with the assumption of time continuity. Despite many standard numeric techniques and ready-made software, obtained discrete models do not always maintain model characteristics in continuous time and the long run behaviours of the discretized model could differ from the original one. In this work, we present a modification of non-standard discretization method related to the methodology proposed by Mickens (2000), (2003) and its revisions (see Kwessi et al., 2018) for converting economic models from continuous time to discrete time. Such a discretization method preserves the original dynamic properties of the continuous model, in the sense of equilibria, their stability and bifurcation characteristics. Furthermore, the discretization produces solution trajectories in qualitative and quantitative agreement with those of the continuous model. An example of economic model described by a system of nonlinear differential equations is studied: we applied the discretization method to the Goodwin model (Goodwin, 1967) and provided a comparative analysis for qualitative and quantitative long run behaviour of the continuous and discrete version of the system.

Visualization methods for differential expression analysis

BackgroundDespite the availability of many ready-made testing software, reliable detection of differentially expressed genes in RNA-seq data is not a trivial task. Even though the data collection is considered high-throughput, data analysis has intricacies that require careful human attention. Researchers should use modern data analysis techniques that incorporate visual feedback to verify the appropriateness of their models. While some RNA-seq packages provide static visualization tools, their capabilities should be expanded and their meaningfulness should be explicitly demonstrated to users.ResultsIn this paper, we 1) introduce new interactive RNA-seq visualization tools, 2) compile a collection of examples that demonstrate to biologists why visualization should be an integral component of differential expression analysis. We use public RNA-seq datasets to show that our new visualization tools can detect normalization issues, differential expression designation problems, and common analysis errors. We also show that our new visualization tools can identify genes of interest in ways undetectable with models. Our R package “bigPint” includes the plotting tools introduced in this paper, many of which are unique additions to what is currently available. The “bigPint” website is located at https://lindsayrutter.github.io/bigPintand contains short vignette articles that introduce new users to our package, all written in reproducible code.ConclusionsWe emphasize that interactive graphics should be an indispensable component of modern RNA-seq analysis, which is currently not the case. This paper and its corresponding software aim to persuade 1) users to slightly modify their differential expression analyses by incorporating statistical graphics into their usual analysis pipelines, 2) developers to create additional complex and interactive plotting methods for RNA-seq data, possibly using lessons learned from our open-source codes. We hope our work will serve a small part in upgrading the RNA-seq analysis world into one that more wholistically extracts biological information using both models and visuals.

МЕТОДИКА ЗАСТОСУВАННЯ ІНФОРМАЦІЙНО-КОМУНІКАЦІЙНИХ ТЕХНОЛОГІЙ У ПІДГОТОВЦІ ДО ПРОЕКТНОЇ ДІЯЛЬНОСТІ МАЙБУТНІХ УЧИТЕЛІВ ТРУДОВОГО НАВЧАННЯ

The ways of solving the problem of using modern information and communication technologies at different stages of project activity of students are outlined. The specific feature of the professional activity of craft and technology teachers enables the use of modern communication tools at different stages of creative projects, combining technical means with the latest educational technologies. The methodical features of ICT application during information search, project development, evaluation and self-evaluation are highlighted. The variants of expedient application of public computer programs and means of communication with the purpose to increase the professionalism of projects execution by students, optimization of feedback between the teacher and subjects of training, innovative approach in the implementation of complex tasks are offered.The mastery of instrumental artistic and technical software should become a base for the methodical system of teaching at the Pedagogical University. They form the basis of information technology and artistic and graphic competence of future technology teachers and is the basis for the development of the person's ability to professional activity, allowing the future teacher of technology to professionally use the mastered computer resources in pedagogical and artistic and creative activities. It has been proved that the training of future technology teachers is effective on the basis of ICT (programming language, ready-made software products, Microsoft Office software package, cloud services, Internet resources, WEB-site), implemented in the educational process of special (designing and modeling of clothing, design of clothing ) and psychological and pedagogical (the method of profile education, the theory and methodology of teaching technology, the method of educational work) disciplines.

An algorithm for determining the optimal variant of a cut gem with maximal mass and specified symmetry deviations

Denis S. Kokorev - Doctoral Student, Laboratory of Distributed Computational Systems, Institute for Information Transmission Problems RAS Address: 19, build.1, Bolshoy Karetny Per., Moscow, 127051, Russian FederationE-mail: korvin-d@yandex.ru The article discusses the problem of finding a polyhedron given shape inside another nonconvex polyhedron. This problem is a particular case of the 18th Hilbert problem, third part. It has a practical application in computer simulation of three-dimensional objects, moving autonomous robots, and the jewelry industry. The author uses this mathematical problem to find the facets of gemstones in uncut stones. The article offers a method for finding inscribed polyhedrons based on the reduction of the problem to a nonlinear programming problem and its solutions using ready-made software. The basic idea is that it is easy to describe this problem in terms of non-linear programming. Internal polyhedron volume is an objective function. Restrictions include the preservation of the combinatorial structure, one polyhedron standing inside another one, convexity, plus additional constraints necessary for practical purposes. The article describes two implementations of the algorithm: a client-server application and a local application. Their advantages and disadvantages are discussed. The algorithm is described not only in a mathematical point of view; some of its practical characteristics are also demonstrated. Compared to the previous article, the author has added a method that allows for solving the nonconvex case of a problem. This is a significant step forward from a mathematical point of view. In addition, it allows us to use the algorithm at all stages of gem cutting. The end of the article describes current evaluations of the effectiveness and running time, including on weak processors, and it offers plans for further development of the algorithm.This research was supported by the Russian Scientific Foundation (project No. 16-11-10352

An algorithm for determining the optimal variant of a cut gem with maximal mass and specified symmetry deviations

Denis S. Kokorev - Doctoral Student, Laboratory of Distributed Computational Systems, Institute for Information Transmission Problems RAS Address: 19, build.1, Bolshoy Karetny Per., Moscow, 127051, Russian FederationE-mail: korvin-d@yandex.ru The article discusses the problem of finding a polyhedron given shape inside another nonconvex polyhedron. This problem is a particular case of the 18th Hilbert problem, third part. It has a practical application in computer simulation of three-dimensional objects, moving autonomous robots, and the jewelry industry. The author uses this mathematical problem to find the facets of gemstones in uncut stones. The article offers a method for finding inscribed polyhedrons based on the reduction of the problem to a nonlinear programming problem and its solutions using ready-made software. The basic idea is that it is easy to describe this problem in terms of non-linear programming. Internal polyhedron volume is an objective function. Restrictions include the preservation of the combinatorial structure, one polyhedron standing inside another one, convexity, plus additional constraints necessary for practical purposes. The article describes two implementations of the algorithm: a client-server application and a local application. Their advantages and disadvantages are discussed. The algorithm is described not only in a mathematical point of view; some of its practical characteristics are also demonstrated. Compared to the previous article, the author has added a method that allows for solving the nonconvex case of a problem. This is a significant step forward from a mathematical point of view. In addition, it allows us to use the algorithm at all stages of gem cutting. The end of the article describes current evaluations of the effectiveness and running time, including on weak processors, and it offers plans for further development of the algorithm.This research was supported by the Russian Scientific Foundation (project No. 16-11-10352

Stock management errors and their impact on the productivity of the organization / field study in a sample of stores in the city of Duhok

The Inventory is an important element for organizations, especially the industrial ones' these organizations are trying to keep different types of stock to prevent stalled or production stopped, and this does not mean that the stock does not have such importance in other especially trade organizations, The role played by the stock in trade organizations no less important in the survival and continuity in the market and to maintain their customers. What is important here how to manage inventory properly balanced, in order to avoid the stalled or stopped production processes, or the failure to meet the needs of customers in the event of shortages in stockpiles as well as the case when the increase in the amount of inventory will lead to the survival of part of the head frozen money in the form of stocks is difficult to convert into cash because that depends on the length of the period of production or sale (Abdul Qadir and Abbas, 1991: 167).To reach balance and proper management of the stock to be working to remove and overcome all the mistakes and obstacles that affect inventory management properly, especially during the storage process and turn it into positive points can be invested in inventory management with the aid including availability of technology and ready-made software used in inventory management field.

Development of the Object-Oriented Dynamic Simulation Models Using Visual C++ Freeware

The paper mostly focuses on the methodological and programming aspects of developing a versatile desktop framework to provide the available basis for the high-performance simulation of dynamical models of different kinds and for diverse applications. So the paper gives some basic structure for creating a dynamical simulation model in C++ which is built on the Win32 platform with an interactive multiwindow interface and uses the lightweight Visual C++ Express as a free integrated development environment. The resultant simulation framework could be a more acceptable alternative to other solutions developed on the basis of commercial tools like Borland C++ or Visual C++ Professional, not to mention the domain specific languages and more specialized ready-made software such as Matlab, Simulink, and Modelica. This approach seems to be justified in the case of complex research object-oriented dynamical models having nonstandard structure, relationships, algorithms, and solvers, as it allows developing solutions of high flexibility. The essence of the model framework is shown using a case study of simulation of moving charged particles in the electrostatic field. The simulation model possesses the necessary visualization and control features such as an interactive input, real time graphical and text output, start, stop, and rate control.