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By using printability tester for printing on ordinary white cardboard and light beam hologram paper, measuring spectral information and chrominance information of the two samples, and then perform spectral fitting by analyses their color characteristics, The aim of this research was to propose one method for color calculation of printing on light beam hologram papers, according to the color information of ordinary white cardboard.

Most paper-based 3D color printers are plagued by the problem of slow printing speed, which is caused by the double-sided coloration for A4 office paper during the printing process. In order to resolve this issue, we propose a new fast and reliable coloration algorithm using geometric information in STL file, given the existing slicing methods. During the entire process, the colored surface is determined by D value that represents the positive or negative slope of layer in the 3D model after slicing. Colored inks with corresponding permeability are used to print single-sided or double-sided to accelerate the printing speed. For the given 3D models, the efficiency of the speedup is discussed and qualitatively analyzed. The results show that the proposed algorithm can increase the printing speed of paper-based 3D color printers, based on the existing materials and apparatus, at a lower cost than the common approaches.

English, as one of the most important information carriers, has become the most widely used language worldwide, and its importance is increasingly prominent in each field of our society. Examinations are an important means of evaluating the level of English language learning and teaching outcomes. For the problems existed in traditional English exam, this paper research English online examination system intelligent test paper based on random algorithm. First, the design test paper constraints, including the question amount constraint, questions type constraints, knowledge point constraints, difficulty constraints, answer time constraints and so on; Then, using the linear congruence generator study of a random number generation, list recursive formula and describe parameters; Finally, using flow diagram to study random test paper process, for each step describing in detail. Advantages of random algorithm are easy to use, the disadvantage is not retrospective, applies to the number of exam papers and extraction requirements are relatively few cases.

Peer review is a new phenomenon in the process of internationalization of academic journals, but also a worldwide problem. In this paper, the development and practical application of peer review system are sort out, which are based on objective data research of domestic and international academic journals; the problems of network online published papers in practice are analyzed and explored by modern advanced network technology as the application tool, and how scientific orientation are they to play an effective role. The purpose of paper is in order to ensure the impartiality of the academic council, spread rapidly and use information resources, and further promote to enhance the overall level of academic journals.

The contribution deals with the possibilities of the use of existing commercially available vectorization programs for recognition drawing entities in raster graphics format obtained by scanning of the engineering drawing. Drawing entities as a line (solid, dashed, dot-dashed etc.), dimension, hatch, various symbols, text, etc., have specific semantic for the designer defined by standards. Expert knows to interpret this graphic language and he knows to create a mental model of the real object. To be able interpret digital content of the engineering drawing obtained by scanning by the form of 3D computer model often requires to perform many intelligent operations. In the first step it is necessary to obtain such vector representation of the scanned drawing to be able to identify the original drawing entities. Suitability of using the contemporary commercial vectorizing programs for engineering drawings was verified on the test sample of the drawing entities and the results are published in the paper.

Estimating the state-of-charge of a lead-acid battery at remote seismic nodes is a key factor in managing the available power. Optimal management enables the continuous acquisition of seismic data of an area. This paper presents the management of lead-acid batteries at remote seismic nodes, using the Neural Network model's historical data to estimate the battery's state-of-charge. Powersim (PSIM) simulation tool was used to implement photovoltaic energy harvesting system with a buck mode converter and maximum power point tracking algorithm to acquire historical data. A backpropagation neural network technique for training the historical dataset of hourly points in 500 days on the Matlab platform is adopted, and a feedforward neural network is employed due to the irregularities of the input data. The neural network model's hidden layer contains the transfer function of the Tansig Function to produce the model output of state-of-charge estimations. Besides, this paper is based on the management of estimating the state-of-charge of the lead-acid battery near-realtime instead of relying on the vendor's lifecycle information. The simulated results show the simplicity and optimal estimations of state-of-charge of the lead-acid battery with RMSE of 0.023%.

Electrocardiogram (ECG) is the most important signal in the biomedical field for the diagnosis of Cardiac Arrhythmia (CA). ECG signal often interrupted with various noises due to non-stationary nature which leads to poor diagnosis. Denoising process helps the physicians for accurate decision making in treatment. In many papers various noise elimination techniques are tried to enhance the signal quality. In this paper a novel hybrid denoising technique using EMD-DWT for the removal of various noises such as Additive White Gaussian Noise (AWGN), Baseline Wander (BW) noise, Power Line Interference (PLI) noise at various concentrations are compared to the conventional methods in terms of Root Mean Square Error (RSME), Signal to Noise Ratio (SNR), Peak Signal to Noise Ratio (PSNR), Cross-Correlation (CC) and Percent Root Square Difference (PRD). The average values of RMSE, SNR, PSNR, CC and PRD are 0.0890, 9.8821, 14.4464, 0.9872 and 10.9036 for the EMD approach, respectively, and 0.0707, 10.7181, 16.2824, 0.9874 and 10.7245 for the proposed EMD-DWT approach, respectively, by removing AWGN noise. Similarly BW noise and PLI are removed from the ECG signal by calculating the same quality metrics. The proposed methodology has lower RMSE and PRD values, higher SNR, PSNR and CC values than the conventional methods.

The aim of this paper is to develop an efficient breast cancer Computer Aided Diagnosis (CAD) system allowing the analysis of different breast tissues in mammograms and performing textural classification (normal, mass or microcalcification). Although several feature extraction algorithms for breast tissues analysis have been used, the findings concerning tissue characterization show no consensus in the literature. Specifically, the challenge may be great for mass and microcalcification detection on dense breasts. The proposed system is based on the development of a new feature extraction approach, the latter is called Multi-threshold Modified Local Ternary Pattern (MtMLTP), it allows the discrimination between various tissues in mammographic images allowing significant improvements in breast cancer diagnosis. In this paper, we have used 1000 ROIs obtained from Digital Database for Screening Mammography (DDSM) database and 100 ROIs from a local Tunisian database named Tunisian Digital Database for Screening Mammography (TDDSM). The Artificial Neural Network (ANN) shows good performance in the classification of abnormalities since the Area Under the Curve (AUC) of the proposed system has been found to be 0.97 for the DDSM database and 0.99 for the TDDSM Database.

Box culverts are the monolithic unit build to pass across railway lines, roadways, etc. earthworks are made to balance the discharge water on both sides. Box takes different types of loads created by a cushion, traffic, water, soil, etc. This paper deals with the optimum design of box culvert by using Newton's-Raphson Method and AppDesigner in MATLAB Software R2017a and studies the design parameters such as the influence of depth of earth fill at the top slab of the culvert, earth pressure, factor Dead Load, Live load, effective width, etc. In this paper, the study of the box-culvert with normal and minimum cushion analyzed for different classes of loadings and conclusions made on the basis of Newton's-Raphson Method normal and minimum cushion and normal cushioning cases.

The glaucoma is a developing slow eye that effects optic nerve damage in its most common form. Once the optic nerve has been impaired, visual data is not passed to the brain and permanently visual impairment is caused. Glaucoma computer-aided diagnosis (CAD) is a rising area in which medical imaging is analyzed. The CAD is a more precise approach for glaucoma detection, inspired by recent advanced imaging techniques and high-velocity computers. Laser ophthalmoscope scanning, tomography with optical coherence, and retina tomography of Heidelberg have widely used imaging techniques for detecting glaucoma. In this paper, we provide a study of glaucoma disease with its types and detection techniques. Moreover, this paper tells about image processing techniques to detect glaucoma. Variational mode decomposition has also discussed here.

Maintenance management is an orderly procedure to address the planning, organization, monitoring and evaluation of maintenance activities and associated costs. The maintenance management allows to have an efficient tool either to the management of the preventive or curative activity, an optimization of the production tool, and finally a follow-up of the costs and the performances. A good maintenance management system can help prevent problems and damages to the operating and storage environment, extend the life of assets, and reduce operating costs.In this paper, we will first present our model on the joint management of spare parts and maintenance. We will do a simulation study of our model, presented in the first section of this paper. The results of this study are presented in the second section through the presentation of the influence of certain parameters of the model on the operation of the system under consideration. This study carried out on the graphical interface of Matlab, which is one of the performance evaluation techniques. It allows to visualize the variations and anomalies which can be reached in the system considered as an overcoming of the repair of the machines by the unforeseen breakdowns.

The paper describes how two traditional construction materials-Concrete and Steel Reinforcement can contribute better value to RCC and Precast Concrete structures by modernizing their forms as Self-Compacting Concrete (SCC) and Welded Wire Fabric (WWF). SCC is widely accepted by infrastructural, industrial, commercial and even individual house builders – due to its assured quality delivery, especially for cast–in-situ RCC construction. Many defects with conventional vibrated concrete -- honeycombing, segregation and bleeding, loss of workability, choking in concrete pump pipelines and overheating -- have been eliminated or at least minimized by using SCC. For any type of congested reinforcement, mainly in beam – column junctions, edges and corners, SCC has delivered satisfactory filling and honeycomb free densification. Also due to the absence of the use of vibrators, formworks have been spared from joint leakages – saving both the concrete and the formwork itself. But however, even in many advanced construction companies, due to poor detailing practices, and non-mechanized bar-bending (or mechanization limited to only cutting and bending of rebars ), reinforcement laps, splices and bends, hooks, pose an additional burden on the free flow, filling and densification of SCC. Thus using SCC alone may not ensure defect free construction in RCC. The changes should be wholesome and comprehensive. This paper describes how SCC and WWF enhance the quality of RCC construction and ensuring defect free construction. The effects of WWF and SCC are elaborated in detail considering all the physical properties and practical issues. Along with the technical analysis, the commercial and sustainable benefits of SCC and WWF are discussed.

The most challenging issue in the design of wireless sensor networks for the application of localization in the underground environment, mostly for miner’s location, is the sensor nodes’ energy consumption, efficiency and communication. Underground Wireless Sensor Networks are active and promising area of application of Wireless Sensor Networks (WSNs), whereby sensor nodes perform sensing duties in the underground environment. Most of the communication techniques used in the underground environment experience a high path loss and hence, hinders the range needed for transmission. However, the available option to increase information transmission is to increase the transmission power which needs large size of apparatus which is also limited in the underground. To solve the mentioned problems, this paper proposed a Magnetic Induction based Pulse Power. Analytical results of the Magnetic Induction based Pulse Power with an ordinary magnetic induction communication technique show an improvement in Signal-to-Noise Ratio (SNR) and path loss with variation in distance between nodes and frequency of operation. This paper further formulates a nonlinear program to determine the optimal data (events) extraction in a grid based WUSNs.

Organisations are becoming more intensively conscious about energy related-topics. The overall societal recognition, changing legal requirements and cost reduction pressure results in increasing interests in holistic energy management activities well embedded into the overall facilities and asset management context.This paper aims to specify the information requirements for setting-up energy management system. Such a system aims to ensure that owners, tenants and operators of buildings can deliver facility and energy management services in compliance to the relevant legislative, technical and environmental standards. Initial information requirements for such a system were developed over the past nine months and are presented in this paper.

With the development of the concept of Industry 4.0, research relating to robots is being paid more and more attention, among which the humanoid robot is a very important research topic. The humanoid robot is a robot with a bipedal mechanism. Due to the physical mechanism, humanoid robots can maneuver more easily in complex terrains, such as going up and down the stairs. However, humanoid robots often fall from imbalance. Whether or not the robot can stand up on its own after a fall is a key research issue. However, the often used method of hand tuning to allow robots to stand on its own is very inefficient. In order to solve the above problems, this paper proposes an automatic learning system based on Particle Swarm Optimization (PSO). This system allows the robot to learn how to achieve the motion of rebalancing after a fall. To allow the robot to have the capability of object recognition, this paper also applies the Convolutional Neural Network (CNN) to let the robot perform image recognition and successfully distinguish between 10 types of objects. The effectiveness and feasibility of the motion learning algorithm and the CNN based image classification for vision system proposed in this paper has been confirmed in the experimental results.

The demand for high accuracy on automated harvesters is getting higher. While system accuracy is lowered by vibration resulted when a robot with sensors and arms is running on the field. Applying suspension system onto these automated harvesters is a solution to reduce the vibration effects and assure required accuracy. This paper presents a model of the suspension system for a robotic asparagus harvester. The simulation results showed that the peak value of vibration was reduced to an acceptable level. Most importantly, the peak deflection of a vibrated platform was decreased to a required range as well. At the end of this paper, a conclusion is drawn. A suspension system is suggested to reduce vibration effects and improve the accuracy of both sensors and picking arms for mobile manipulators. In the future, this suspension system will be fabricated and installed onto a robotic asparagus harvester to validate this proposed model.

Energy efficiency is a well-known and often implemented energy-related activity with a variety of different characteristics and fields of application. Energy efficient solutions, especially for pneumatic and electric intensive processes, are usually applied to minimise the electric and pneumatic energy consumption in the field of production. Especially in complex machinery it must be avoided that the energy consumption influences the productivity or quality of the product. On the other hand, due to volatile energy supply from renewable sources, there is a growing awareness of energy flexibility, which is mainly implemented on energy-intensive processes such as metal production, foundries, chemical processes and paper industry. An increase of the energy flexibility potential of machines often influences the energy efficiency. In other cases, energy efficiency and energy flexibility actions can be conducted without an interaction. This paper compares the definition and characteristics of energy efficiency as well as energy flexibility actions. An application of energy flexibility as well as efficiency actions can lead to optimised energy consumption behaviour of production machinery.

The paper presents an intralogistics routing-service for autonomous and versatile transport vehicles. An infrastructural sensor digitize the workspace of the vehicle and is the basis for the vehicle-specific routing plan. Nowadays, a central computing unit allocates transportation task to a known number of automated guided vehicles, which are usually of the same type. Furthermore, this device generates a routing appropriate to the dimensions and the kinematic gauge of the vehicle fleet. The pathing for each specific vehicle is calculated and the result is send to the different entities. The approach of this paper bases on the digitization of the workspace with a ceiling camera, which divides the scenery into moving obstacles and an adaptive background picture. A central computing unit receives the background picture of several cameras and stitch them together to an overview of the entire workspace, e.g. a production hall. Furthermore, the approach includes the development of automated guided vehicles to versatile autonomous vehicles, were each entity is able to calculate the pathing on a given routing plan. A fleet of versatile autonomous vehicles consists of vehicles with task-specific dimensions and kinematic gauges. Therefore, each vehicle needs its own routing-plan. The solution is that each vehicles uses a vehicle parameter-server and register itself with these parameters at the routing unit. This unit is calculating a routing-plan for each specific vehicle dimension and gauge and providing it. When getting a new task, the vehicles uses this routing-plan to do the pathing. The routing-algorithm is implemented inside the service-layer of the versatile autonomous vehicle system. This approach lowers the amount of data, which is send between the service layer and the transportation entities by reducing the information of the workspace to the possible routes of each specific vehicle. Furthermore, the calculation time for routing and pathing is lowered, because each vehicle is calculating its task-specific path, but the route-map is calculated once for each vehicle-type by the routing-service.

Despite numerous research activities, guidelines and regulations, the exploitation of energy and resource efficiency potentials at companies in the field of electric drive technology is still lagging behind. Existing catalogues of measures and research results are mostly too generic or too theoretic for companies, especially for small and medium-sized enterprises (SME). Thus, this paper proposes the development of a user-oriented software system that supports the consideration of sustainability aspects within the product and process development of electric drives. The core component of this concept is a knowledge-based system (KBS), which reveals the wide range of energy and resource efficiency potentials along the whole product life cycle. In particular, correlations that exist between the individual saving potentials are to be mapped. By presenting the general solution concept and current stage of development, this paper provides the basis for future research which should focus on the further elaboration and prototypical implementation of the system proposed here.

In this paper is presented a few models of a robotic snake like unit which can be used in Minimally Invasive Surgery (MIS). In particular, this paper focuses on the flexible unit details. It’s rigid links can be fabricated using selective materials that are light-weight and slim. Thus, this flexible unit can be inserted through one small cavity. Finally, we show that the selected flexible unit may be a very good alternative for Single Port Access (SPA) surgery or this can be used in other environments as well.

Steel eccentrically braced frames (EBFs) are expected to sustain damage during an ultimate limit state design level earthquake through repeated cyclic plastic deformation of the active link. Traditionally the active link has been integral with the collector beam, but following the 2010/2011 Canterbury earthquakes, the benefit of having a readily replaceable active link became apparent. The development of this was undertaken by New Zealand Heavy Engineer Research Association (HERA) and Steel Construction New Zealand (SCNZ), with input from the University of Auckland. This paper describes the finite element analyses performed to determine the behaviour of the system including the bolted endplate connections through the range of inelastic cyclic loading expected. The numerical simulations answer a number of questions, like at which loading cycle the von Mises stress is above 300MPa in collector beam adjacent to the removable link; history of all bolt forces; component forces (shear) in slab and removable link; rotation of the link versus cycles; equivalent plastic strain contour for the last cycle and others. This paper also describes how the interaction with the concrete slab was modelled in the elastic and inelastic range.

This paper presents the Least Energy Demand as an independent reference value for evaluating energy efficiency of additive manufacturing (AM) processes. Nowadays an essential challenge is represented by a proper evaluation and calculation of the energy efficiency of production processes. The reason for this is the lack of appropriate reference values. A comprehensive comparison of the energy efficiency is not possible without consistent reference values. However, this comparison serves as a first step towards the goal in order to reveal the actual energy savings potential of additive manufacturing procedures and to take actions on this basis. Therefore, as a first step the basic concept of the additive manufacturing principle is introduced. Subsequent the scope of the current research regarding the considered additive manufacturing techniques is illustrated. Afterwards the general system of the Least Energy Demand is presented, which serves the needs in terms of evaluating the energy efficiency of additive manufacturing processes. To sustain the comparability of the Least Energy Demand between the presented AM-procedures a solid basis for further calculations is established. Finally this paper concludes with the results of the calculated Least Energy Demands for the individual additive manufacturing processes and a comprehensive energetic comparison.

In this paper, the reliability and reliability sensitivity of the main shaft device of a hoist system is studied. The main purpose of this paper is to provide a modeling method for the joint probability distribution of main shaft device with coupling faults based on the system reliability theory and copula function theory. The stochastic response of the main shaft device is obtained using design of experiment. The reliability of the main shaft device is calculated based on the fourth moment method. The reliability sensitivity is then deduced based on the reliability results. The joint probability of failure between correlated failure modes is estimated based on the Gumbel copula. The system reliability evaluation of the main shaft device is then calculated. A numerical example of a main shaft device is illustrated to validate the application of the proposed method. The method proposed in this study can be provided for the analysis and design of the main shaft device of deep well hoist as a necessary theoretical basis.

Much progress has been made in the field of digital imaging technology with the widespread use of CMOS and CCD devices and the high computing power of IC chips. However, there still are many technological problems to overcome to achieve lightweight and affordable high density 3D lossless imaging for both industrial and scientific applications. This paper will focus on the latest development of freeform optical technology and powerful image analysis techniques to develop a compound eye camera system so as to extract the 3D relative position coordinates of the sub-object in the field of view, and to compensate the shadow effect in the images caused by the non-uniform illumination to obtain high quality lossless images. Such a novel compound eye system will find applications in delivering 3D image of digital camera, increasing capability of scientific profiling measuring instrument, and lowering cost and enhancing resolution of wide-field, video-rate, gigapixel cameras such as the AWARE designed by Duke University.The main objective of this paper is to design a novel compound eye system from high definition 3D lossless digital imaging technology to achieve the realistic three-dimensional positional information of the object in both near and far fields. In the imaging process, the ultimate imaging quality is affected and limited by the resolution of the detector, the field of view, wavefront aberration, resolution of the optical imaging system and the ambient light.The novel compound eye imaging system includes two modules: one is the optical imaging module with compound eye optical elements with other secondary optical lenses, while the other one is the image analysis module. By combining the above optical hardware with the image analysis software, the relative position information of the sub-objects in the picture and the lighting condition of the environment can be deduced accurately.

Reinforced concrete (RC) is the most popular building material in the construction industry. It is a composite material in which low tensile strength and ductility of concrete are counteracted by the inclusion of reinforcement having higher tensile strength and ductility. The RC based structures are required to be replaced after their life time. Complete replacement will be a huge financial burden and might certainly be a waste of natural resources when upgrading or strengthening is an adoptable alternative. Strengthening can be achieved through retrofitting. The meaning of retrofitting is addition of new technology, components, accessories or features to older systems. Retrofitting may be required when the structure needs to be used for a purpose dealing with more load compared to design loads. It may also be used where old structures are needed to be upgraded. This paper is focused on the retrofitting of simply supported RC beams. Various materials like polymers, cementitious composites, steel sections etc. are used for retrofitting of RC beams. For the addition of these new materials to the existing ones, various techniques are used. This paper is a review of the materials and techniques used in retrofitting process of RC beams in existing buildings. The effectiveness of each material and technique is also reviewed.

Robotics and automation are playing very imperative role in the modern construction practice to meet the challenges and expectation specifically in the infrastructural projects. Automation is a tool for operating or controlling different stages of construction process using mechanized and electronic devices or control systems to reduce the human intervention to a minimum. The design and implementation of these automation technologies has shown progressive outcomes compared to conventional methods. Moreover, considerable improvement in working condition, reduction in accidents and significant increase in production have been evidently observed in the recent construction projects as well as in the earlier research studies. Although several countries have adopted automation in their construction projects, application of these techniques in India is limited to a greater extent due to lack of proper guidelines and specifications. It is important to develop appropriate standards and guidelines for Indian construction sector. This paper reviews different automation techniques that are currently used in many parts of the world and suggestions for their application in the Indian construction scenario are discussed in detail. Moreover, guidelines for efficient design and implementation of automation techniques in India are highlighted in this paper.

This paper aims to study the prediction of 4G traffic for customer’s demand of Lao Telecommunications Company (LTC) using statistical method called Cubic method. The data used in our paper are the actual number of customers and the actual bandwidth used by the customers in each month. Those actual data used for predicting the future number of customers and bandwidth used by the customers are collected from January 2014 to April 2015. The accuracy of the prediction is evaluated by using the Mean Square Error (MSE). In our paper, the derived average accuracy is 98%, the results may be used to considering for improving the throughput of Evolved Packet Core (EPC) there by providing the better service to the customer.

The system of binocular vision sensor was used in the air-to-air close air target positioning in the paper. Due to the limitation of model itself, the measurement accuracy along the direction of optical axis is far lower than the accuracy of vertical direction. In order to improve the measurement accuracy of the optical axis, the paper put forward to using laser range sensor to cooperate with binocular vision sensor; Then the paper proposed adopts adaptive weighted fusion algorithm of multi-sensor information fusion to improve the utilization efficiency of multi-sensor information and to make the results accurately; Finally, the parameters of the system were calibration respectively and experiment is simulated, experimental results show that the position system is feasibility and effectiveness.

Creation of the intelligent system for highly structured domain is possible with determining the whole system of concepts included in the ontology of this area. Presentation by means of formal ontology model provides a uniquely interpreted terms. Based on the model of ontology the intelligent system will integrate their knowledge and information components of all sections of the data area. The paper considers the unification of nanomaterials subdomain with other subdomains that are need to be used for intelligent system for nanotechnology. The paper also proposes mathematical ontology model of one of the component - that is ontology model of foams and emulsions class.

Information management systems become more common and more important in all walks of life. Many serious problems such as multi-source information heterogeneity, mass redundant data, and data security occur in the systems as the explosive increment of data. A novel redundant data deleting algorithm based on the cloud storage platform was proposed in this paper to deal with the problem of mess data storing. Storage space division algorithm and different users were divided in an appropriate way to improve the efficiency of reading and writing. A typical information management system was used to verify the feasibility and effectiveness of the algorithms proposed in this paper.

Nowadays CBIR is getting more and more attention from organizations and researchers due to advances in digital imaging techniques. A lot of interest is getting paid to search images from large databases, as it is not only difficult and time-consuming task but sometimes frustrating for the users. This paper proposes the CBIR system based on color, texture and shape features. The proposed method employs the use of DCT and DWT along with Hierarchical k-means algorithm for faster retrieval of images. The efficiency of the given method is demonstrated by the results in the paper.

This paper deals with data storage systems based on fault-tolerant dual-disk RAID-1, which are widely used as high-reliable data storage systems and have acceptable overhead expenses in hardware implementation. Advanced reliability model of dual-disk RAID-1 array based on Markov chains, which takes into consideration finite time of disk replacement after disk failure, different disk failure rate in array’s normal and rebuild states, and probability of read errors during array rebuild procedure, are also overviewed in this paper. Mathematical solution of reliability model, calculation formula for mean time to data loss, estimation of disk and array reliability parameters and MTTDL calculation example are also provided.

Big Data and Internet of Things (IoT) are Two Popular Technical Terms in Current IT Industry. the Analysis of Iot Data Consumes more Energy since it is Huge in Size. this Paper Proposes a Methodology re-Storm that Addresses Energy Issues and Response Time of Iot Applications Data. it Uses Big Data Stream Computing for re-Storm against Existing Method Storm. the Storm Failed to Address Dynamic Scheduling but re-Storm Deals with Energy-Efficient Traffic Aware Resource Scheduling. this Paper Presents a Model that Different Traffic Arriving Rate of Streams re-Storm at Multiple Traffic Levels for High Energy Efficiency, Low Response Time. it Deals at Three Levels, Firstly, a Mathematical Model for High Energy Efficiency, Low Response Time. Secondly, Allocation of Resources Bearing in Mind DVFS (Dynamic Voltage and Frequency Scaling) Methods and Existing Effective Optimal Consolidation Methods. Thirdly, Online Task Allocation Using Hot Swapping Technique, Streaming Graph Optimizing. Finally, the Experimental Results Show that re-Storm has been Improved the Performance 30-40% against Storm for Real Time Data of Iot Applications.

The article introduces a method of online social network users’ sentiment evaluation. The advantage of the proposed method consists in its ability to take into account user’s influence as well as the fact that a user could be an author of several messages. Results presented in this paper have been used in the past in mechanical engineering to analyze reviews on products as well as in robotics for developing user communication interfaces. The paper shows the steps of calculation of the sentiment of messages on a certain topic in online social networks. The proposed method is deployed with a view of developing analytic tools and visualizations that make use of more than one such datasets in Web Observatories.

The increasing complexity of software systems is making source code analysis a more economic option to automate the identification of defects, vulnerabilities and inefficiencies. This paper initially outlines the general anatomy of automatic source code analyzers, dimensions of analysis that can be performed with today’s state-of-the-art tools, various limitations of automatic source code analysis in the areas of programming language coverage, quantity of false positive claims, system architecture breakdowns and code/time complexity. The paper is concluded by presenting future tentative trends of source code analysis.

The modern tools of today's concurrent engineering (CE) based management are a wide array of instruments, plans, software, technical skills, human capabilities and resources. This paper aims to emphasize the benefits of such a system implementation in a business environment based on case studies retrieved from scientific literature and author's personal experience in a private working environment. Constant team sessions, briefs, workshops and brainstorming sessions proved to be very powerful tools for the management teams subjected to these studies in order for them to develop fully stable concurrent teams. The paper also highlights the fact that even from the implementation phase the workflow within the CE offers excellent opportunities for continuous improvements of the system and fine tunings of tools that are correspondent to it. As result, CE proves to be one of the best systems around in terms of efficiency, scalability and of course, results.

The paper presents a theme of research through the analysis of flows' modelling and simulation in a flexible manufacturing system. It is studied the simulation with discrete events of a real manufacturing line with the software Delmia Quest. The objectives of this paper are to modelling and simulate the manufacturing system and to choose the properly probability distributions of a cycle time of each machine from this layout. A comparison of three distributions is presented and SCL implemented program will automatically display the values resulting from the manufacturing system simulation.

In this paper authors conducted analysis of management features on machine-tools with numerical control using neural network for achieving exactness. Applications of Hopfield networks are discussed in the paper along with application of neuron computers that offer decision making of tasks ticker-coil.

The paper describes an experimental determination of kinematic quantities using high-speed digital image correlation system. It deals with the analysis of minimal sampling frequency needed for correctly performed high-speed correlation analysis. The authors also describe the influence of cameras sampling frequency on the quality of the obtained results. Mentioned analysis was performed using a rotational object. For the purposes of the results comparison the data obtained from correlation system in a form of displacements in three mutually perpendicular directions were processed in Matlab and in the paper are depicted in a form of graphical visualizations.

The rising amount and complexity of machine tool control software forces developers andvendors to increase software quality assurance measures, especially system regression tests. Thesetests are mostly conducted manually at real machines and thus error-prone, expensive and timeconsuming.This paper discusses the state of the art in machine tool control software testing andproposes a new approach for the automated test of machine tool control software. Its outstandingfeature is a manufacturer-independent test environment that makes it possible to test control softwareon different control types with minimum overhead. The approach bases on a hardware-in-the-loopsimulation system and implies a concept for a uniform access to the multitude of communicationinterfaces of today’s controls. Furthermore, the paper shows the problems that make such a tooldifficult to define and gives a concept for implementation.

This paper is devoted to the study of distributed generation units impact on pricing on the wholesale power energy market. The paper deals with results the analysis of the wholesale electricity market and power. This analysis is necessary for proper impact assessment of distributed generation units on a total optimization. Optimization calculations performed for the real power system, when distributed generation units operating the basic and peak modes, as well as the cost-effectiveness of this modes.

In this paper, we present a new knowledge push technology for complex mechatronic products design based on ontology and variable precision rough set (VPRS). Ontology can explicitly represent knowledge semantics and let designers exchange knowledge about design and the product development process; while using the knowledge reduction method based on the VPRS method, the design knowledge repository is simplified and design rules also be distilled from the reduct design knowledge repository. On the basis of the above approach, multiple designers can efficiently share design knowledge and can obtain appropriate design knowledge during all design processes. Finally, a case is employed to validate the proposed method of this paper.

The aim of this paper is to presents an interdisciplinary approach to the problem of manufacturing process support using Artificial Intelligence (AI) by introducing a cross physical-information control system concept. The scope of the article covers description of logical architecture concept, data exchange process and autonomous steering mechanism using artificial intelligent method. The article indicates that in order to successfully support manufacturing process using Artificial Intelligence proper logical support system architecture need to be applied. It is important to emphasize that the use of AI method is not enough to cover multidimensional production issues of gathering and processing data. Therefore whole system need to be organized in this way to support AI with data to be processed. Thanks to that, it is possible to meet many different goals and achieve significant results in the field of manufacturing process. Because of that in this paper the main focus is put on system logical architecture with descriptions of each element involved. Moreover, the article describes AI controller mechanism applied running on real time raw data collected from machines and products. Findings presented within paper could be use in real case scenarios as a design pattern to develop, deploy or optimize production management systems in small-medium enterprises based on low cost solutions of Internet of Things (IoT) providing data to be analyzed with use of cloud computing technology running AI algorithms.

The 3D printing method for the human tooth is a possible and good solution in the manufacture. However, the shrinkage is the most challenging problem to manufacture the tooth. In this paper, CAE analysis and experimental design are applied to predict the shrinkage of different dentures shape. Then the CAD model of the dentures can be reverse amplified before the sintering process. The product will be close to the patients’ requirements with precise dentures shape. It also avoids the complicated procedure of CNC machining and reduces dentists finishing time. The dental bridge is the main research objective investigated in this paper to verify the CAE simulation developed by the authors.

This paper describes the development of an embedded SNTP clock which applies NTP Protocol to embedded clock to realize the high accuracy and precision SNTP client clock. It consists of three parts which are the communication part to communicate between NTP Server and SNTP client clock, the data processing part to process data packet, and maintain accuracy, precision of time, and the result displaying part to show time together with the reliability status of the clock. This article explains the concept of applying and analyzing NTP packet, process of maintaining accuracy and precision of time and displaying the result, and hardware, software designs. This paper will provide the introduction of NTP, the development of NTP on the embedded clock, the simulation, and results of the experiment.

This paper presents an overview of the state of art of mobile robots presenting aspects of their current level of sophistication, fields mobile robots are being presently used, the future application and scope of mobile robots. Classifying the primary research topics of multi-robot systems into seven major categories (Biological inspirations, architecture, localization/mapping/exploration, object transport and manipulation, motion co-ordination, reconfigurable and learning robot systems, vision), we discuss the current state of research in these areas. An attempt to cover the points for which a general agreement has emerged within the scientific domain, are then presented, followed by a discussion of alternative approaches and currently unsolved problems. This paper also reviews the most relevant literature and previous research activity regarding mobile robotics. We conclude by identifying more topics of scientific consensus, open research issues and a discussion of some application areas where mobile robots could be used with existing technology.

To provide fast digital communications systems, energy efficient, high-performance, low power is critical for decoding mobile receiver device. This paper proposes a low power optimization techniques in the Add Compare Select (ACS) unit for Space Time trellis codes (STTC) Viterbi decoder. STTC Viterbi decoder is used as a reference case. This paper discusses about how to lower the power in the ACS architecture, to optimize the Viterbi decoder STTC in reducing the total power consumption. Based on the results of design and analysis, power consumption Viterbi decoder modeling, low power system for STTC Viterbi decoder is proposed. Design and optimization of ACS unit in STTC Viterbi decoding is done using Verilog HDL language. Power analysis tools in the software Altera Quartus 2 is used for the synthesis of total system power consumption. Optimization strategy showed an increase of 83% power reduction compared to previous studies.

In this paper, a solution for the automatic control of a chemical exchange process carbon dioxide (CO2) – carbamate for the 13C isotope enrichment, is presented. The main original achievement from the paper is the inclusion of the previously mentioned non-linear technological process in a control structure. The design of the automatic control structure of the 13C isotope concentration is based on the Internal Model Control (IMC) strategy. The implementation details of all the elements from the structure of the proposed control system, in MATLAB/SIMULINK, are presented. Also, some relevant simulations of the automatic control structure are presented.

The computing industry is one of the fastest growing industries and it is caused by the rapid progression of computer hardware and software technological developments. The high-capacity storage systems become the important element of the network architectures. The network architectures of high-capacity storage systems can be developed by using various, different techniques. The present paper aims to give a review about the storage systems architecture, systematize the various types of connection, and present the significance of virtualization. Based on industry specific literature and on own research, the present paper sets up a clear systematization of these techniques by providing a brief summary of their essence, while also providing examples of their application in different network storages. The present article also provides an insight into the topic of the different connecting types of network systems, while highlighting the importance of virtualization and application of the iSCSI technology. After the explanation of the challenge of redundancies in storage systems, the author outlines the importance of using RAID (Redundant Array of Independent Disks) technology for handling the issue of redundancy

After years of pure academic interest and niche applications, today the flow forming process is growing in its importance in the forming industry, due to increasing demand in aerospace, automotive and defense industries. The review surveys academic paper of last fifty years, in order to evaluate the current state of art for academic and practitioner. Theoretical and experimental approaches are collected and compared evaluating their prediction models. Several knowledge gaps can be identified. Stress and strain tensors evolutions are not determined for workpiece, due to high computational cost and missing identification of correct finite elements approach. Final microstructure is often evaluated case by case but its evolution during plastic deformation is not studied. Residual stress and final material proprieties, as corrosion behavior, have been not studied numerically or experimentally. Tool path impact and alternative geometries are not deeply explored. Process experimental optimization and characterization through Design of Experiment is still limited to a few papers and usually not well developed.