Development Of Computer Systems Research Articles

Integrating MDA and SOA for improving telemedicine services

Through telemedicine, the health sector has seized the opportunity offered by development of information and communications technology (ICT) such as the business or industrial sectors, but ICTs are constantly evolving. To benefit from technological progress it is necessary to adapt the computer applications to these technologies, however this operation is costly to health facilities especially in developing countries. In terms of scientific research, this observation explains the development of model-driven engineering of computer systems such as the Model Driven Architecture (MDA) approach. MDA is a computer design approach for the development of computer systems that considers separately the functional needs of technical needs of an application. MDA mainly uses the models and their transformations whose traces allow MDA to capitalize expertise in terms of technology and to ensure some rapid modernization of applications to new technologies which results in a significant productivity gain. Today there is a huge requirement worldwide in the interoperable services, in particular with regard to their valuable contribution to the collaboration ability of remote information technology systems. Service Oriented Architecture (SOA) is an interesting architectural pattern in which software components contribute to the collaboration and sharing of services. In this way, the principles of SOA are intended to ensure interoperability between heterogeneous and distributed applications. Web services are at the heart of SOA, which splits functions into different services, accessible over a computer network that enables users to associate and reuse them in the exploitation of applications. Health applications have a strong need to communicate with the remote institutions in order to provide the most relevant services to patients and to collaborate with other medical partners to solve complex tasks. For this purpose, the proposed research work shows how the paradigms of SOA and MDA can be configured to implement medical software applications on an e-health platform. The case study concerns the Telemedicine in French-speaking Africa (RAFT) project in which the joint use of MDA and SOA facilitates knowledge combination and reuse in the management of applications supporting a medical collaborative work environment.

Разработка компьютерной системы мониторинга движения глаз

Разработка компьютерной системы мониторинга движения глаз

Development of neural network method for prediction of methane content in mine workings

Despite the intensive development of computer systems being introduced at the coal enterprises to provide air and gas monitoring, security is still not high enough, so that emergencies continue to occur due to a high concentration of explosive gases. Therefore, development of methods of forecasting the content of combustible gases in mines, which are used to improve the quality of air and gas assessment of the situation is urgent. In order to solve the problem of forecasting in the article the most common methods of forecasting – extrapolation, mathematical, associative, were analyzed. On the basis of the comparative characteristics the choice was made in favor of the neural network method. The main criteria for the choice of a particular neural network were such as the presence of feedback, the delay in the input layer, fast learning and prediction accuracy. Amongst all the networks that meet the criteria, the most suitable one is distributed TLFN. In order to determine the selected network architecture some numerical experiments were carried out. The criterion for the selection of architecture was the minimum MSE. According to the results, network architecture with the number of neurons to 10 of the study was chosen. In order to evaluate the effectiveness of the proposed method numerical studies that prove the effectiveness of the selected network architecture and its learning algorithm were carried out.

Comparison Of Laser Scanning And Photogrammetry And Their Use For Digital Recording Of Cultural Monument Case Study: Byzantine Land Walls-Istanbul

Abstract. 3D modeling of cultural monuments is very crucial issue for preparing restoration projects. However, it has challenges such as data acquisition, preparation and processing. 3D modeling of objects can be time consuming and may include some difficulties due to the complexity of the structures. 3D terrestrial laser (TLS) scanning technique is one of the reliable and advantageous methods for 3D reconstruction of monuments. This technique is commonly acknowledged due to its accuracy, speed and flexibility. But the suitability and capability of this technique depends on proper usage, and good survey planning. Magnificent developments in highresolution digital sensor technologies leaded to manufacturing of new camera systems. Parallel to these innovations, development of computer systems and image processing techniques made enable to obtain multiple image-based 3D object models. In the presented study, TLS method has been compared to conventional photogrammetric and image-based dense matching methods. Automatic dense point creation has been realized by our developed algorithm and PIXEL-PHOTO software which generates 3D point clouds from stereo images. The reliability and encountered problems during point cloud measurement process have been discussed. The study area has been chosen as historical Byzantine Land Walls of Istanbul, which constitute a remarkable area defining the ancient city’s historical peninsula.

Wound image evaluation with machine learning

A pressure ulcer is a clinical pathology of localized damage to the skin and underlying tissue caused by pressure, shear or friction. Diagnosis, care and treatment of pressure ulcers can result in extremely expensive costs for health systems. A reliable diagnosis supported by precise wound evaluation is crucial in order to succeed on the treatment decision and, in some cases, to save the patient׳s life. However, current clinical evaluation procedures, focused mainly on visual inspection, do not seem to be accurate enough to accomplish this important task. This paper presents a computer-vision approach based on image processing algorithms and supervised learning techniques to help detect and classify wound tissue types that play an important role in wound diagnosis. The system proposed involves the use of the k-means clustering algorithm for image segmentation and compares three different machine learning approaches—neural networks, support vector machines and random forest decision trees—to classify effectively each segmented region as the appropriate tissue type. Feature selection based on a wrapper approach with recursive feature elimination is shown to be effective in keeping the efficacy of the classifiers up and significantly reducing the number of necessary predictors. Results obtained show high performance rates from classifiers based on fitted neural networks, random forest models and support vector machines (overall accuracy on a testing set [95% CI], respectively: 81.87% [80.03%, 83.61%]; 87.37% [85.76%, 88.86%]; 88.08% [86.51%, 89.53%]), with significant differences found between the three machine learning approaches. This study seeks to provide, using standard classification algorithms, a consistent and robust methodological framework as a basis for the development of reliable computational systems to support ulcer diagnosis.

The near Infrared Spectroscopy Information and Technology Group of the Ocean University of China

T he Ocean University of China is a comprehensive university with a long history. Its curricula are focused on the marine and aquatic sciences and it is located in the beautiful seashore city of Qingdao, China (Figure 1). The Information Engineering Centre of the Ocean University of China (OUC) is an important research institute which was established in 1992. Research interests of the Centre are mainly on application technology and engineering such as rapid quality determination, development of cloud computing platforms and internet products for medicine and health. It contains four laboratories which are responsible for the development of software technology, computer-aided design (CAD), Intelligent Technology and Application Service Providers (ASPs). During recent years, partnerships have been established between our institute and various industries, e.g. Haier, Hisense, Tsingtao Beer, CETC and China Tobacco. Using neural networks, the Intelligent Technology Group began research in 1998 on analytical methods to evaluate the relationship between chemical components and product quality. After Dr Ning Yang took over the leadership of the institute, we gradually began to work on CAD systems for industrial formulations. Since then, this group has filed a number of patents in intelligent data analysis. In the past five years, because of the demands for rapid product quality inspection demanded by industry, this group has been focused on the development of near infrared (NIR) reflectance spectroscopic applications. The first application studied involved determination of the influential factors in NIR modelling techniques and NIR model performance; this was followed by research on NIR network management and control platforms. Nowadays, the group consists of the following staff (Figure 2): ■ A chief research senior in NIR network platform architecture design: Dr Ning Yang. ■ An international NIR spectral analysis expert: consultant: Dr Wei G. Hansen. ■ Two experts in chemical analysis and application technology: Mr XieZhong Xiao, Mrs JiLing Zhong, research senior. ■ Four experts in NIR modelling methods and data analysis algorithms: Dr Huili Gong and Dr Ying He, Dr YuHua Qing, Mr Lei Zhang. ■ Six computer system development experts: Dr Ting Liu, Dr Shuo Shi, Dr YuZhong Ding, Dr Dianhu Chen, Mr GuoQiang Liu and Mr XueTao Yu. This group carries out basic and applied research on NIR, and we would like to highlight the following achievements of the group.

Modeling of Safety-Critical Systems Using Petri Nets

Safety plays a crucial role in the development of complex computer systems in the relevant areas like railway transport, process industry, power plants, etc. In the design phase of safety-critical systems, various methods are used to make the system work correctly. Due to advancements in technology, safety-critical systems are equipped with the necessary safety precautions but not completely. The malfunctioning of systems may lead to catastrophic accidents. Compared to commonly used safety-analysis approaches like Failure Mode and Effects Analysis, Fault Tree Analysis, Event Tree Analysis, etc., Petri Nets are more suitable for hazard analysis as they can specify data flow and stochastic interdependencies. An example safety-critical system, Railroad Crossing Junction has been modeled using Petri Nets for hazard analysis to detect the occurrences of possible hazards in the system. The proposed modeling framework provides a flexible graphical representation allowing a qualitative analysis based on the safe and unsafe state representations and a quantitative analysis based on the reachability graph that in turn leads to an effective safety analysis. The result of careful and rigorous safety analysis is to identify unsafe states. The results of safety analysis can be used by the designer for re-designing the system to improve safety. The designer of the system needs to repeat the process to detect the unsafe states.

A Framework for Psychophysiological Classification within a Cultural Heritage Context Using Interest

This article presents a psychophysiological construct of interest as a knowledge emotion and illustrates the importance of interest detection in a cultural heritage context. The objective of this work is to measure and classify psychophysiological reactivity in response to cultural heritage material presented as visual and audio. We present a data processing and classification framework for the classification of interest. Two studies are reported, adopting a subject-dependent approach to classify psychophysiological signals using mobile physiological sensors and the support vector machine learning algorithm. The results show that it is possible to reliably infer a state of interest from cultural heritage material using psychophysiological feature data and a machine learning approach, informing future work for the development of a real-time physiological computing system for use within an adaptive cultural heritage experience designed to adapt the provision of information to sustain the interest of the visitor.

Digital Elevation Modeling Based on Multimodal Aerospace Data in the Context of Sustainable Development of Romania

Abstract With the development of computer systems and geographic information systems the digital elevation models have started to be used more and more in spatial analysis processes. The digital models, even if they refer to the terrain or to the surface, have an important role in ecosystems analysis projects, regional or national urban planning, sustainable resource management and natural disaster prevention. When we talk about digital elevation modeling in the context of sustainable development, we refer primarily to the applicability of the three-dimensional description of the space around us. An important aspect of DEM in terms of sustainable development is the way that it is obtained, so that the resources consumption for its generation to be minimal and the applicability for large scale. This paper presents the major domains of DEM applicability in the context of sustainable development, and also aspects regarding an efficient way of generating DEMs.

Aesthetic restoration in maxillo-mandibular malformations: the role of genioplasty.

The aim of this study was to determinate how orthognatic surgery aids to cure many skull and face abnormalities and to help re-establishing the correct occlusive relation thanks to the repositioning of the maxillo-mandibular skeleton basis. The study included 183 male patients and 338 female patients, with an average age of 23 years. The sample series was divided according to specific pathologies. All patients underwent surgical procedures and the therapeutic strategy was determined based on the anomalies presented. 113 patients had a II class dental skeletal occlusion, 180 patients had a III class dental-skeletal occlusion and 222 patients had skull-facial abnormalities. 5 patients underwent only a genioplasty, 82 patients underwent a genioplasty associated with BSSO, 175 patients underwent a genioplasty associated with Le Fort I osteotomy and the remaining 253 patients underwent a genioplasty associated with BSSO and Le Fort I osteotomy. The experience shows that genioplasty has been successfully introduced in orthognathic surgical therapeutic procedures, for dental-skeleton abnormalities and mandibular asymmetries treatment. In recent years, the evolution of computer systems has allowed an accurate assessment and programming, by means of the three-dimensional display, which are of great help in the course of diagnosis and evaluation of the displacements to be carried out, in order to obtain optimal aesthetic results.

Development of Real-Time HRV Computing System Derived from Smartphone as a PPG sensor : Comparison of measurements under the Different Sunlight Levels

Development of Real-Time HRV Computing System Derived from Smartphone as a PPG sensor : Comparison of measurements under the Different Sunlight Levels

다중물리 전산모사를 이용한 물성 최적화 이론 및 시뮬레이션

New material design has obtained tremendous attention in material science community as the performance of new materials, especially in nano length scale, could be greatly improved to applied in modern industry. In certain conditions limiting experimental synthesis of these new materials, new approach by computer simulation has been proposed to be applied, being able to save time and cost. Recent development of computer systems with high speed, large memory, and parallel algorithms enables to analyze individual atoms using first principle calculation to predict quantum phenomena. Beyond the quantum level calculations, mesoscopic scale and continuum limit can be addressed either individually or together as a multi-scale approach. In this article, we introduced current endeavors on material design using analytical theory and computer simulations in multi-length scales and on multi-physical properties. Some of the physical phenomena was shown to be interconnected via a cross-link rule called 'cross-property relation'. It is suggested that the computer simulation approach by multi-physics analysis can be efficiently applied to design new materials for multi-functional characteristics.

Scalable and interactive visual computing in geosciences and reservoir engineering

Abstract Visual computing technologies enable more intuitive data modelling, visualization and analysis, facilitating these processes by real-time interactive visual interfaces. These technologies are essential for software in the oil and gas industry, allowing users to gain insights and actionable information when dealing with increasingly complex, multidisciplinary datasets and processes. In the context of the oil and gas industry, interactive visual computing should also scale well with the growing data size and other components of a data analytics pipeline. We present key problems and challenges motivating the research and development of scalable and interactive visual computing systems, followed by a classification of the most important research themes and related topics. Eleven case studies developed with the industry are also presented, highlighting the main cutting edge findings, limitations and achievements.

Performance Evaluation of a Multi-state System Covering Imperfect Fault Coverage

Fault-tolerant networks are being used to provide more reliable network connections. Development of the fault-tolerant computing system requires accurate reliability modeling. Numerical formulations and complex models are commonly used for obtaining reliability measures. These measures are functions of component failure rates and fault-coverage. Coverage provides information about the fault and error detection, isolation, and system recovery capabilities. This research studied a system consisting three units in parallel with three types of failures namely, catastrophic, human, and unit failures incorporating the coverage factor and evaluated the various reliability measures of the considered multi-state system subject to imperfect fault coverage.

On Statistical Definition of Free and Fair Election: Bivariate Normal Distribution Model

The coining of the expression free and fair was a good way towards evaluating elections, but fell short of qualifying its real quantification to guide an informed judgment; this paper provides guidance for such a definition. Data from the Uganda National Baseline Survey were used to assess the dynamics of the determinants for a free and fair election. All determinants were statistically significant (p<0.01) for the two multinomial models (free and fair election models). The predicted probabilities for free and fair were each used as inputs to form probability distribution function could jointly define the expression free and fair using a bivariate normal distribution. A strong positive correlation was identified between an election being free and fair (ρ=0.9693,p<0.01) implying the reliability of the statistical models in jointly considering free and fair. The study recommends development of central statistical computational system to inform electoral bodies and judges in passing scientifically backed ruling on whether an election is free and fair. A threshold percentage for any election to be referred to as free and fair could be developed either deterministically or stochastically and provisions of which passed under electoral law.

Advanced Convergence Technologies and Practices for Wireless Ad Hoc and Sensor Networks

Recently, the massive development and deployment of ubiquitous computing system are expected to provide numerous ubiquitous applications (e.g., smart grid, intelligent building, healthcare, automotive, etc.). Aubiquitous system is necessarily distributed, thus requiring the concepts and technologies of wireless ad hoc and sensor networks to support it. Over the past decade, tremendous technological advances have been made in the fields of wireless ad hoc and sensor networks; however, traditional techniques are not sufficient to accommodate a variety number of ubiquitous applications and services in the right way. In this regard, the aim of this special issue is to foster state-of-the-art research in the development of communications, computing, and security technologies for wireless ad hoc and sensor networks. Particularly, this special issue shows the most recent advancements in the variety type of technological integration of machine-to-machine communication, cloud computing, embedded system, with wireless ad hoc, and sensor network domain.

Our responsibility to manage evaluative diversity

The ecosystem approach to computer system development is similar to management of biodiversity. Instead of modeling machines after a successful individual, it models machines after successful teams. It includes measuring the evaluative diversity of human teams (i.e. the disparity in ways members conduct the evaluative aspect of decision-making), adding similarly diverse machines to those teams, and monitoring the impact on evaluative balance. This article reviews new research relevant to this approach, especially the validation of a survey instrument for measuring computational evaluative differences in humans (the GRINSQ). The research confirms the existence of all four known machine types among humans.

Hybrid Quantum-Classical Protocol for Storage and Retrieval of Discrete-Valued Information

In this paper we present a hybrid (i.e., quantum-classical) adaptive protocol for the storage and retrieval of discrete-valued information. The purpose of this paper is to introduce a procedure that exhibits how to store and retrieve unanticipated information values by using a quantum property, that of using different vector space bases for preparation and measurement of quantum states. This simple idea leads to an interesting old wish in Artificial Intelligence: the development of computer systems that can incorporate new knowledge on a real-time basis just by hardware manipulation.

A study of the role of visual information in supporting ideation in graphic design

Existing computer technologies poorly support the ideation phase common to graphic design practice. Finding and indexing visual material to assist the process of ideation often fall on the designer, leading to user experiences that are less than ideal. To inform development of computer systems to assist graphic designers in the ideation phase of the design process, we conducted interviews with 15 professional graphic designers about their design process and visual information needs. Based on the study, we propose a set of requirements for an ideation‐support system for graphic design.

Adoption the basis of spatial analysis and geographic information systems (GIS) techniques to development oil industry projects

It is recognized today that human lives the information age, which ischaracterized by the multiplicity of its data and the complexity of its aspects andthe most important thing is characterized by "information" that will determine theprogress of the people, the more able countries to devise ways to protect theinformation and how to make the best use of them whenever it is an indication ofits progress and its ability to face obstacles to development and the informationsources are diverse and interrelated up to the level of complexity that they can beanalyzed and dealt with the existence of developed computer systems, that storedand processed the information .And because maps are also considered sources ofinformation which use in management and project planning, and being animportant means of connecting ideas and planning them so it necessitated the needfor the emergence of advanced systems have the ability to draw and designschemes and production of digital maps. With possibility of linking information(metadata) with the real location on the Earth's surface, called the (spatial data).The emergence of these systems are scientific leap on the in geographic scienceespecially spatial data that has accumulated over the centuries and resulted in ahuge amount of data and information. These systems added a lot in the field ofbuilding spatial database which can updating and help in treating maps accuratelyand effectively combines the advantages of the two systems (information systemsand systems of digital maps), which was named "GIS" systems which electronic NO.10digital competent to enter, store and retrieve, analyze data . And connect themwith large areas of maps that can not be saved on security on the paper. The data issaved with maps in a coherent manner so as to facilitate the user to display the datawith maps and several methods as well as a calculation processing to extract theresults and reports in a few time and effort and use them in decision-making whichhelps to speed the study and analysis the information and support decision-makersin a number of important decisions concerning projects which requires accuracyand speed.