Computerized Management System Research Articles

Theory of planned behavior and knowledge sharing among nurses in patient computer management system: The role of distributive justice

Theory of planned behavior and knowledge sharing among nurses in patient computer management system: The role of distributive justice

Characterization of runtime resource usage from analysis of binary executable programs

This paper introduces a methodology for characterizing the runtime resource demands of a computer program from the analysis of its binary executable file. Categorization of applications according to the kind of resources required during execution – such as CPU and memory usage – is a sough-after piece of knowledge for the aims of computer system design and management. Conventional techniques available for this purpose include white-box static source code analysis and profile matching based on historical execution data. The former tends to be challenging in face of complex software architectures and requires access to the source code; the latter is dependent on the availability of reliable past data and on the selection of features yielding effective correlations with resource usage. The alternative data mining approach proposed in this paper avoids those difficulties by manipulating binary executable files. The method combines techniques from information theory, complex networks and phylogenetics to produce a hierarchical clustering of a set of executable files, which can be used to infer potential similarities in terms of runtime resource usage. The paper introduces the method's rationales and presents results of its application to characterize CPU and IO usages of benchmark applications executed on a standard PC platform. Essays carried out over a set of 80 programs from varying sources yielded numerically significant evidences that the prediction of resource usage similarity obtained by the approach is consistent with experimentally measured runtime profile.

SHEARS INC. Salon Management System

Management system is the framework of processes and procedures used to ensure that an organization can fulfil all task required to achieve its objectives. In recent times, most organization will opt to use management system in their daily business task. There are those who still use the non-computerized system as opposed to the computerized management system. The non-computerized system may be effective but it also causes greater task load when implemented. Computerized system makes it easier for users with functions such as searching, automatic calculation, and display of related information with minimal queries. The development of Shears Inc. Salon Management System is to act an alternative to the non-computerized system implemented by Shears Inc. Salon. The system developed will be able to decrease the task load of owner and employees of Shears Inc. Salon. Software Development Life Cycle methodology is used in the development of Shears Inc. Salon Management System. This system is installed in computer device. It runs on local host server and MySQL is used as the database server. The programming language used in developing Shears Inc. Salon Management System is PHP programming language. Hence, Shears Inc. Salon Management System is an alternative for the salon to manage recording tasks.

DEVELOPMENT OF A SUPPORT SYSTEM FOR MANAGING THE CYBER SECURITY

Context. In this paper the urgent problem of development of software of decision making support systems in information security is solved. Approach is based on a choice of rational options of response to events taking into account operational state-of-health data of a subject to protection. Objective. Goal of the research is developing a cyber-threats counterwork model using decision support system, choosing rational variants of reactions on the occurrences in cybersecurity, and taking into account current operational data. Method. The information object cyber security operational management system and the formation of the protection methods rational sets model which is based on a morphological approach is developed. It is proposed to find an optimal variant of the information security perimeter sets using an object function that maximizes the correlation of a consolidated figure of “information security” to consolidated figure “costs”. Results. A model for the operational management of cyber security-critical computer systems was developed. This model allows us to generate different variants of protection sets that are compliant with a computer system taking into account morphological matrices for each security perimeter prepared with the intelligent decision support system. It is proved that the use of the developed decision support systems can significantly reduce the costs planned for the complex means of cyber defense, as well as reduce the time to inform decisionmakers on how to counter the identified information security incidents. Conclusions. Scientific novelty of research consists that the model of operational management of cyber security of an information objects and formation of a rational complex of security features based on morphological approach is for the first time offered. The practical value of the developed methods and instruments is that they allow: to reduce time of development of systems of cyber security, to increase efficiency of planning of rational modular composition of security features due to creation of information and software environment in case of design; to increase validity of the made decisions on operational and to organizational technical control by protection

Cloud Computing and Content Management Systems : A Case Study in Macedonian Education

Technologies have become inseparable of our lives, economy, and the society as a whole. For example, clouds provide numerous computing resources that can facilitate our lives, whereas the Content Management Systems (CMSs) can provide the right content for the right user. Thus, education must embrace these emerging technologies in order to prepare citizens for the 21st century. The research explored 'if' and 'how' Cloud Computing influences the application of CMSs, and 'if' and 'how' it fosters the usage of mobile technologies to access cloud resources. The analyses revealed that some of the respondents have sound experience in using clouds and in using CMSs. Nevertheless, it was evident that significant number of respondents have limited or no experience in cloud computing concepts, cloud security and CMSs, as well. Institutions of the system should update educational policies in order to enable education innovation, provide means and support, and continuously update/upgrade educational infrastructure.

Modified stretched exponential model of computer system resources management limitations—The case of cache memory

In this paper we present some preliminary results in the field of computer systems management with relation to Tsallis thermostatistics and the ubiquitous problem of hardware limited resources. In the case of systems with non-deterministic behaviour, management of their resources is a key point that guarantees theirs acceptable performance and proper working. This is very wide problem that stands for many challenges in financial, transport, water and food, health, etc. areas. We focus on computer systems with attention paid to cache memory and propose to use an analytical model that is able to connect non-extensive entropy formalism, long-range dependencies, management of system resources and queuing theory. Obtained analytical results are related to the practical experiment showing interesting and valuable results.

Financing of Pharmaceutical Services in the municipal management of the Brazilian Unified Health System.

ABSTRACTOBJECTIVE To discuss factors related to the financing of the Basic Component of Pharmaceutical Services within the municipal management of the Brazilian Unified Health System.METHODS The Pesquisa Nacional sobre Acesso, Utilização e Promoção do Uso Racional de Medicamentos no Brasil – Serviços (PNAUM – National Survey on Access, Use and Promotion of Rational Use of Medicines – Services) is a cross-sectional, exploratory, and evaluative study that performed an information survey in a representative sample, stratified by Brazilian regions It considered different study populations in the sampling plan, which represent primary health care services in the cities. Data were collected in 2015 by two methods: in person, by applying direct observation scripts and interviews with users, physicians, and professionals responsible for the dispensing of medicines in primary care services; by telephone interviews with municipal health managers and municipal professionals responsible for Pharmaceutical Services. The results were extracted from the questionnaires applied by telephone.RESULTS Of the sample of 600 eligible cities, we collected 369 interviews (61.5%) with secretaries and 507 (84.5%) with pharmaceutical services managers. 70.8% of the cities have a computerized management system; and 11.9% have qualification/training of professionals. More than half (51.3%) of the cities received funds for the structuring of pharmaceutical services, and almost 60% of these cities performed this type of spending. In 35.4% of cases, municipal secretaries of health said that they use resources of medicines from the Componente Básico da Assistência Farmacêutica (CBAF – Basic Component of Pharmaceutical Services) to cover demands of other medicines, but only 9.7% believed that these funds were sufficient to cover the demands. The existence of a permanent bidding committee exclusively for acquiring medicines was reported in 40.0% of the cities.CONCLUSIONS We found serious deficiencies in the public financing of medicines, as well as little concern about the formality in the use of public resources, expenses that meet individual demands to the detriment of the community, insufficient resources allocated to the Basic Component of Pharmaceutical Services, and exhaustion of the financing model.

Evaluating the operation and routine maintenance of municipal roads in Switzerland

Evaluating the performance of road managers in terms of the operation and routine maintenance of roads is not possible without data. As road managers are increasingly using computerised management systems, however, there is an increasing amount of data available. With this in mind, a project was conducted to determine the extent with which currently available data could be used for this purpose in Switzerland. This paper contains an explanation of the methodology used in, and the main results of, this project. The methodology used includes (a) the clarification of terminology, (b) the identification of the possible indicators, (c) the collection of data, (d) the identification of the base and advanced key indicators, (e) the investigation of modification factors to be used to compare different municipal road managers and (f) the investigation of economies of scale. It is concluded that it is possible with the available data to obtain an idea of the performance of road managers in Switzerland with respect to both operation and routine maintenance. The results give indications of whether or not road managers are spending too much or too little, why this might be happening and how much improvement they can expect if changes are made.

Data-Driven Techniques in Computing System Management

Modern forms of computing systems are becoming progressively more complex, with an increasing number of heterogeneous hardware and software components. As a result, it is quite challenging to manage these complex systems and meet the requirements in manageability, dependability, and performance that are demanded by enterprise customers. This survey presents a variety of data-driven techniques and applications with a focus on computing system management. In particular, the survey introduces intelligent methods for event generation that can transform diverse log data sources into structured events, reviews different types of event patterns and the corresponding event-mining techniques, and summarizes various event summarization methods and data-driven approaches for problem diagnosis in system management. We hope this survey will provide a good overview for data-driven techniques in computing system management.

Developing a Use-Case Model for OMG RUP Technology of Food Industry

Представлена модель прецедентов предприятия пищевой промышленности на примере хлебозавода. Предложен подход к решению поставленной задачи на основе UML - модели прецедентов предметной области. Реализован подход RUP к разработке модели информационной системы управления вспомогательными бизнес-процессами промышленного предприятия.

The threats of wire and wireless data transmission systems in rail traffic and management systems including cyber and terroristic attacks

The paper deals with presentation of up to date state of protection in dissipated, computer railway control and management systems, including the future systems implemented in Polish State Railways based on wireless standards with regard the ETMS/ETCS solutions.

Comparison of stochastic prediction models based on visual inspections of bridge decks

Due to a considerable amount of information required to support the decision-making processes, an increasing number of infrastructure owners use computerized management systems. Bridges, being complex and having significant impact on society, have often been the foundation for the development of these systems. In order to manage bridges effectively, condition prediction models are incorporated to the core of decision-making processes. Many of developed and applied stochastic prediction models show certain limitations. The impact of these limitations on deterioration pre­dictions cannot be objectively evaluated without direct comparison of prediction results. Hence, several stochastic pre­diction models based on condition ratings obtained from visual inspections of bridge decks are compared in this article. Models are described and implemented on the data of around 1100 reinforced concrete bridge decks from the ‘Infraes­truturas de Portugal’, a state owned Portuguese general concessionaire for roadways and railways. The statistical analy­sis of different models revealed significant deviations, particularly in higher condition ratings. Results indicate limited prediction capability of a simple homogeneous Markov chain model when compared with time- and space-continuous models, such as the gamma process model.

Design a System to Estimate the Road Construction Project Preliminary Equipment Requirements in the Design Stage

Road construction projects in Iraq require a developmental study of the planning process toward building computerized management systems. In this thesis, a management system has been built, based on artificial neural networks and genetic algorithms. The proposed software estimates the optimal number of equipment, machineries, and relevance instruments required according to progress table of the work during the proposed implementation period of the project. Artificial neural network systems have been adopted to build models to predict the productivity of the equipment used in road construction projects, based on the factors that affecting the productivity of these mechanisms. By implementing the system and simulating at road project, several conclusions have been conducted. One of the most important conclusions is that the optimal distribution of the numbers and types of machineries used in road construction has a significant impact on the time of implementation of project.

Research on the Modern Intelligent Healthcare Platform from the Perspectives of Grid based Cloud Computing and Information Management System Assisted Internet of Things Technology

In this paper, we research on the modern intelligent healthcare platform from the perspectives of grid based cloud computing and information management system assisted Internet of things technology. In the increasing pressure of modern society, people often attend the poor general health. The more deadly is that people lack the necessary technical means that our physical condition of the related data. Hospital information construction is to adapt to the information age and the modern medical mode, necessary measures of health economy and the hospital information system is the inevitable outcome of the application of information technology in hospital. Excellent hospital information system for standardized hospital management, and security of clinical activities smoothly to carry out the relevant scientific research activity has the important meaning. Intelligent medical treatment is the use of advanced network, communication, computer and digital technology, to implement the intelligent of the medical information collection, conversion, storage, transmission and processing, and various medical business process of digital operation, thus realizes the patients and medical staff, medical institutions, medical equipment, the interaction between, gradually achieve the medical information. Intelligent medical treatment can not only improve the hospital and medical staff's working efficiency, reduce mistakes in the work, also can through the remote medical treatment, remote consultation and so on ways to solve the problem of unequal distribution of regional health resources. Our research combines the grid and cloud computing technique to build up the novel intelligent healthcare platform with IOT technique which will enhance the current medical treatment mode and level up the overall performance of the modern information management system for the general usages.

Software-defined systems support for secure cloud computing based on data classification

The newly emerged Software-Defined Systems (SDSs) promised to reduce computing systems management complexity. This can be achieved by separating the control plane from the data plane. On the other hand, cloud computing usage proliferation creates new challenges for managing user data efficiently. Such challenges include data ownership, data access policies, data privacy and integrity, and the availability of storage space. Using encryption-based solution is effective but very costly. Other solutions that used data classification based on the data priority can mitigate the high cost problem for data encryption. However, managing such data classification systems is very complex. In this paper, we are introducing a Software-Defined System-based solution for deploying efficient data classification framework. Our results show the superiority of the proposed model.

Transportes (processos): 5 anos de otimização

Ao longo dos seus 50 anos, a UNICAMP cresceu exponencialmente em tamanho e em complexidade quando nos referimos aos processos administrativos. As particularidades de cada área/departamento tornam complexa a aquisição e/ou o desenvolvimento de sistemas computacionais de gestão. Consequentemente, os índices de erros, improvisações e "retrabalhos" tornaram-se elevados, com a inevitável perda de esforços, recursos e tempo. A impossibilidade e/ou inviabilidade de aquisição/implementação de soluções personalizadas para atender as necessidades específicas do Setor de Transportes da Diretoria Geral de Administração (DGA), em curto/médio prazo, foi o "alicerce" deste trabalho, que demonstra o sucesso na otimização de processos relacionados à administração dos serviços de transportes da Universidade através da aplicação de algoritmos/recursos avançados e combinados às principais ferramentas computacionais disponibilizadas no ambiente administrativo desta Diretoria (como as suítes de aplicativos Microsoft Office e LibreOffice, por exemplo). Os dados coletados e processados ao longo dos últimos 5 (cinco) anos deram origem a modelos consolidados/unificados para análise, controle e validação dos processos administrativos relacionados à frota oficial e serviços terceirizados de transportes, com grande êxito na redução do tempo gasto em cada etapa dos processos; dos índices de erros e da "redundância" de informações registradas em controles de contratos, demonstrativos mensais de gastos/ressarcimentos, faturas e demais documentos/relatórios administrativos. Este trabalho contempla uma abordagem prática e viável para a aplicação de modelos similares em outros setores administrativos da Universidade.

Modeling and software implementation of fibrous waste disposal processes

The article describes the development of service-oriented computer system for situational management of industrial enterprise waste management and decision support systems in a production environment. The software is based on mathematical model, which allows to solve optimization problems in the subject area and to analyze the results.

Implementacja teorii ograniczeń w procesach wdrażania systemów komputerowego zarządzania procesem produkcyjnym

Implementacja teorii ograniczeń w procesach wdrażania systemów komputerowego zarządzania procesem produkcyjnym

Introduction to the Special Issue on Distributed Computing with Applications in Bioengineering

Biomedical Engineering, usually known as Bioengineering, is among the fastest developing and one of most important interdisciplinary fields today. It connects natural and technical sciences, for all of which biological and medical phenomena, computation, and data management play important roles in science and industry. Distributed computing and parallel algorithms have proved to be effective in solving the problem with high computational complexity in a wide range of domains, including areas of computational bioengineering. This special edition collects high-quality research papers in the field of application of distributed computing systems in bioengineering applications. This issue is the achievement of the developments of modern computer and biomedical technology. Most bioengineering or bioinformatics methods need to access and analyses large amounts of data. For that it is necessary to achieve an effective way that from Big data creates knowledge and useful applications. The nature of such scientific data/information/knowledge demands the use of a powerful computing and intelligent database management systems. Areas of current and future research include advanced topics in this special issue. The paper from Juhasz et al. present a novel, GPU-based streaming architecture that has the potential for drastically reducing execution times and at the same time providing simultaneous 2D and 3D visualization facilities. The system uses a highly-optimised and re-configurable pipeline of CPU and GPU cores that attempts to exploit the tremendous computing power whenever possible. The system can process live data arriving from an EEG device or data stored in EEG data files. The computer drives a large display wall system of four 46 monitors that provides a 4K-resolution drawing surface for visualizing raw EEG data, potential maps and various 3D views of the patient's head. Authors from the group of M. Gusev presents the scalable balancer in Cloud computing extended to Dew Computing level. Given a successful implementation of scalable low level load balancer, implemented on the network layer. The scalability is proved with series of experiments. The experiments showed that it adds small latency of several milliseconds and thus it slightly reduces the performance when the distributed system is underutilized. Rybicki et al. demonstrate how to realize a Software-as-a-Service solution for a variety of science software using container technologies. The presented solution utilized DARIAH-DE research infrastructure based on OpenStack and UNICORE grid to deliver an extensible solution for the digital humanities domain. The paper from authors Forer et al. describe the extension of Cloudflow to support ApacheSpark without any adaptions to already implemented pipelines. The described performance evaluation demonstrates that Spark can bring an additional boost for analyzing next generation sequencing(NGS) data to the eld of genetics. The Cloudflow framework is open source and freely available at https://github.com/genepi/cloudflow . The paper by Memon et al. describes an approach for executing computational jobs across HPC and HTC resources while operating on geographically dispersed data via a global federated file system. The solution is realized as a new framework that integrates UNICORE and GFFS to provide a standards-based environment to support large scale data intensive computations frequent in today's biomedical analyses. The paper Parallel algorithm for the state space exploration, authored by L. Allal et al., proposes a new automatic verification technique based on model checking that determines whether a given system satisfies its specification. Such a technique suffers from the state explosion problem when traversing all possible states of systems. A new synchronized parallel algorithm (SPA) of exploration is proposed based on a fixed number of threads. Exhaustive comparative studies between the standard parallel exploration algorithm in SPIN and the new SPA show that the SPA performs slightly better regarding the execution time and memory complexity. Smart systems in telemedicine frequently use intelligent sensor devices at large scale. Practitioners can monitor non-stop the vital parameters of hundreds of patients in real-time. The most important pillars of remote patient monitoring services are communication and data processing. Large scale data processing is done mainly using workflows. In the paper Eszter et al. give a brief overview of the different check pointing techniques and propose two new provenance based check pointing algorithms which uses the information stored in the workflow structure to dynamically change the frequency of check pointing and can be efficiently used for dynamic health care smart systems.

IRB reliance: An informatics approach

Multi-site Institutional Review Board (IRB) review of clinical research projects is an important but complex and time-consuming activity that is hampered by disparate non-interoperable computer systems for management of IRB applications. This paper describes our work toward harmonizing the workflow and data model of IRB applications through the development of a software-as-a-service shared-IRB platform for five institutions in South Carolina. Several commonalities and differences were recognized across institutions and a core data model that included the data elements necessary for IRB applications across all institutions was identified. We extended and modified the system to support collaborative reviews of IRB proposals within routine workflows of participating IRBs. Overall about 80% of IRB application content was harmonized across all institutions, establishing the foundation for a streamlined cooperative review and reliance. Since going live in 2011, 49 applications that underwent cooperative reviews over a three year period were approved, with the majority involving 2 out of 5 institutions. We believe this effort will inform future work on a common IRB data model that will allow interoperability through a federated approach for sharing IRB reviews and decisions with the goal of promoting reliance across institutions in the translational research community at large.