Статьи журнала - International Journal of Engineering and Manufacturing
Все статьи: 514
Research on Service Discovery Based on QoS in the Composition of Web Services
Статья научная
Web services are applications deployed in network, can be used in some fields such as B2B e-commerce, the integration between portals and content providers. Web services discovery mechanism is the important part of integration. We extended traditional service description and proposed a service discovery mechanism and realized the mechanism in an agent-based Web services integration framework. Results of this study can be applied to a wide range of cross-enterprise business entity docking, thereby promoting the development of electronic commerce.
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Research on the Reform of Practical Teaching Driven By Practical Training under Constructivism
Статья научная
Reform of practical teaching driven by practical training with real projects is a reform to improve every aspect of practical teaching by introducing, processing and decomposing real world projects to create real cases for teaching. In this article, the current reforming process of practical teaching in the area of computer science is analyzed from the point of view of a constructivist. In regard of the characteristics of the educational system in computer science, we also discussed how to organize and implement such enterprise-level project-driven practical teaching under the guidance of constructivism theory.
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Статья научная
The paper conducted thorough research on the adaptability of Cymbidium Lucky Gloria (CLG) through different temperature and relative humidity levels by using intelligent artificial climate chamber. The effects of single and tow collaborated factors on plant surviving are explored. It finds that temperature’s role in CLG surviving is the most significant. The surviving rate reaches only 23.0% with the extreme level of temperature (410C, first period; 240C, second period). Extreme high temperature surpasses the endurance of heat shock proteins (HSPs), and leads the plants died. The survived plants under extreme levels are of excellent attributes for the succeeding strain invention.
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Reversible joint watermarking for medical images and videos
Статья научная
Nowadays Digital Watermarking is widely used in the health care centers to secure the patient’s records. In India, nowadays the hospitals are adapting the telemedicine technology where it is providing facility for the patients and doctors to transmit the reports and as well as to access it easily as and when it is required to do so. In order to protect the privacy, authenticity and the integrity of the Electronic Health Record (EHR), some measure has to be employed. In this regard Digital watermarking (DWM) plays a major role. Digital watermarking is implemented in mainly two domains: one at the pixel level usually called as the spatial domain and the other is at the frequency components of the information called as the frequency domain. Of the two methods, second method is most commonly adapted by most of the researchers. It includes the transforms like Discrete Cosine Transform (DCT), Discrete Fourier Transform (DFT), Discrete Wavelet Transform (DWT) and the variations of DWT viz. Lifting Wavelet Transform (LWT) and Integer Wavelet Transform (IWT). In this paper DWM for the medical scanned images and the medical video is implemented using DWT. The watermark is patient information which will be converted to quick response (QR) code using the built in function. A simple key is used at the embedding part of the DWM technique and the same key is used at the decoder side to retrieve the information which enhances the security of both medical images/videos and the patient details.
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Review of Vehicle Surveillance Using Iot in the Smart Transportation Concept
Статья научная
The background of this research raises the problem of the development of smart transportation in terms of monitoring and enforcement of traffic on the highway, with the proposed system that will help many parties such as the police and the government. The system that is running is to develop a system using CCTV that is placed on every corner of the capital city to replace the police in carrying out road surveillance and law enforcement against lawbreakers, especially in the traffic sector. The method used in this research is by using literature review of many previous research journals, by reading many journals will be able to add knowledge and can deepen ongoing research. The problem raised in this research is finding solutions to problems in the transportation sector, especially smart transportation, using smart transportation will be able to connect all systems that have been made. This research produces a system proposal that can be used in further research and can be applied in terms of the development of smart cities, especially smart transportation.
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Revising Algorithm for Pathology Image Stitching
Статья научная
Image stitching for pathological slice splices several adjacent images into an integrated seamless picture which is significant in remote medicine, especially remote diagnosis. However, because of limitations of image acquisition method, some mismatch could occur. This paper proposed a new image mosaic revising algorithms based on the relativity of adjacent images. After experimental verification, the 20 groups inaccurate pathological mosaic images were revised rapidly and accurately with error controlled within a pixel. It is proved that the algorithm is effective in revising the error matching in pathological images mosaic.
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Risk Based Ranking Using Component Cost Importance Measure
Статья научная
The present day systems are increasing in complexity in terms of both the size and functionality. Also society demands these systems to be ultra-reliable. Reliability evaluation and optimization techniques play a major role in these regards. However reliability evaluation & optimization techniques do not give any idea about maintenance, risk involved and related cost incurred and criticality of system components or subsystems. Important measures (IM) exist in literature that identify the weak components i.e critical components and give ranking to them. Recently some work has appeared on Cost Importance Measure (CIM). There are number of mistakes/short comings in the paper Cost-related importance measure by Ming et.al. Definition of CIM given in general and the same used for computation of CIM of component xi have appeared differently (Different definitions for CIM). PD(xi),Partial derivative of component xi obtained for most of the components are either inexact or are faulty in expression and computations are wrong. All other mistakes also have not only been pointed but have been corrected also. A New CIM (NCIM) proposed, which highlights the above issues and have done desired calculations. The new CIM which has been advanced is computationally simpler and yields the desired ranking of components.
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Road Network Pattern Classification Using GEV Distribution Parameters
Статья научная
Network pattern mentioned in this paper is referred to the geographical layout and structure of a network, which is related to the connection, direction, and combination features of roads in a road network. A quantitative method is proposed in this paper to classify patterns of networks, through which a network could be identified quantitatively to be one of the three standard patterns, i.e., grid network, circle+radial network and tree-patterned network. Metric distances of shortest paths are taken as the main features of the networks and are described by parameters through Generalized Extreme Value (GEV) fitting. The criteria for pattern classification were established according to the cluster analysis of the parameters calculated from a set of trial networks. Six real networks were calculated using the method and their patterns are identified according to the proposed criteria. It turned out that the method could capture the features of the network patterns well. This method may set a threshold of the more general and deep studies of network pattern classification, which may offer help to road network planning and assessment.
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SVM Based P2P Traffic Identification Method With Multiple Properties
Статья научная
With the rapid development of the Internet, P2P has become the main network application in the Internet, which consumes most of the network resources. Accurately identifying and making control of the P2P traffic is of great significance. As a mature classification theory, support vector machine (SVM) algorithm is suitable for P2P traffic identification. This paper proposes a SVM based P2P flow identification method, adopting multidimensional flow properties as the input vector, which can improve the P2P flow classification accuracy. Analysis shows this method has many advantages over the other methods.
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Salt Transfer Law for Cotton Field with Drip Irrigation Under The Plastic Mulch in Arid Zone
Статья научная
Salt transfer law for cotton field with drip irrigation under the plastic mulch was analyzed from two aspects: different postemergences and different direction (vertical direction and horizontal direction). The results show that with the retardation of postemergences, the accumulation of salt in 0-50cm soil layers decrease in different extent. The accumulation of salt in vertical direction increase at the soil layers from 50 to 70cm, but the one at the soil layers from 70 to 90cm change a little. The accumulation of salt in horizontal direction at the narrow row is more than any other position and the one under the emitter is least.
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Scrum-Based Methodology for Product Maintenance and Support
Статья научная
Product maintenance techniques have significant importance because they are much cost effective and less time consuming to maintain a product or software rather to change it. There are different product maintenance and support techniques. These previous techniques do not solve user/clients bugs, issues and enhancements effectively and efficiently. Scrum is being used now a day as a quick, flexible and holistic methodology to develop software. In Scrum projects there is the much customer involvement is included which help to develop a user oriented product. Users can change their requirements in Scrum. Many techniques have been proposed for product maintenance and support. However, in this paper, there have been a detailed literature review of existing product maintenance techniques and also presented a new proposed model and technique for the product maintenance by using Scrum methodology. This Scrum based model for maintenance is designed and based on the analysis of client request types and severity (priority). In our approach, The Session attendees (Scrum Master, Product Owner and Team) choose that bug, issue or enhancement first which has an urgent type or higher priority request and resolves it then select low priority request or non urgent requests and facilitates the clients in timely manner. In this way this proposed model works effectively and defiantly to meet the customer's demand. A comprehensive study on product maintenance and support has been carried out which adds to the current practices in the scrum. We found that maintenance phase of the scrum has been given less attention in the existing literature. In view of this, we have made an attempt to propose a novel model that focuses on the maintenance phase of scrum.
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Статья научная
Data now days is of the utmost importance in our network system maybe be in Raw form or be it processed Information. This research paper represents the Security Analysis of modern Big Data technology with the various upcoming challenges and threats which has a vast effect on any organization working in this field and thus the various solutions using Quantum and other cryptographic methods with encryption and numerous other pitfalls and the applications of such methods in real life.
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Selection of Magnesium Alloy by MADM Methods for Automobile Wheels
Статья научная
The selection of suitable material plays fundamental and vital role in product development as each material possesses individual characteristics that contribute many aspects to suit the particular application. A wrong selection of materials favours huge cost contribution as well as product failure. Hence among the various available materials the selection of a particular becomes difficult. A better methodology is more and more needed for the selection of material. Multi Attribute Decision Making (MADM) methods based on mathematical models provide a ranking to the different alternatives, there by the decision making become easier. This paper presents the selection of Magnesium alloy material to use in automotive wheel applications using MADM methods. The influence of weighting factors has also been discussed.
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Self Learning Intelligent Controller of Electro hydraulic Actuator
Статья научная
The use of electro-hydraulic cylinders in industry has been becoming increasingly popular. A Fuzzy Logic Controller (FLC), which consists of the linguistic defined fuzzy sets and the control rules, is designed to control of the electro-hydraulic cylinder. Using the triangle shaped membership function; the position of the servo cylinder was successfully controlled. When the system working condition is altered, the control algorithm is shown to be more robust compared to the PID controller.
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Self-Stabilizing Spoon for Parkinson’s Ailment
Статья научная
There is a substantial increase in the number of people getting affected by Parkinson Disease at the current scenario. Hence there is a critical need of support to such patients, as engineers it is our duty to ensure their needs as fulfilled. This paper basically proposes few models and prototypes that would bring a ray of hope in the patient’s life. Here authors have proposed a supportive solution to this disorder. Basically our model uses a Nano board as the black box to which we provide the inputs and also we ensure the stabilizing in the form of tremor nullifying effect by using gyroscope, accelerometer and light weighted servo motors. In the present methodology self-stabilizing is done using servos using data provided to them by the gyro via a controller. Experimental analysis when carried out on different weight or object as an input on the spoon, designed model clearly depicts the decrease in the peak of tremor. The flexibility in the design basically refers to the all in one holder which is incorporated in the apex of the prototype, which aids the patient to not only use it is as a spoon, but also can be used to operate a key or any other objects by easily fitting it to the self-stabilizing device.
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Статья научная
Insufficient cuff pressure of tracheal tube (TT) increases the risk of secretions aspiration and consequent pulmonary infection, whereas high pressure may cause tracheal injury. It is very important to control cuff pressure at the optimal status for air care providers. Volume control ventilation (VCV) is often applied to verify the cuff pressure. We used different volumes of syringe as simulated trachea, selected Proterx 7.0 tube to do the intubation, and recorded the volume of air ventilated and the corresponding intracuff pressure. The result indicated that pressures increased intensively when air volumes surpassed certain values, which suggested VCV method was not appropriate to control the intracuff pressure, and pressure control ventilation might be the better choice. In that case, air care providers have to improve their ability to control pressure. Herein, we enrolled 80 residents into sensitivity training for pressure. Trainees were required to palpate the pilot balloons of 12 tubes (Portex7.0) with different intracuff pressure repeatedly to sense the pressure, 1 hour/ day for 3 days. Trainees who could arrange tubes in turn and control the intracuff pressure at optimal range (20-30cm H2O) during intubation in model were considered eligible, the rest were trained continuously till eligible. Inappropriate percent －The proportion of residents who could not control intracuff pressure appropriately － were recorded before training, after training, one month, three months and six months after training. The results indicated that the training method was effective to improve the ability of residents to control the intracuff pressure, the inappropriate percent increased gradually over time, the average intracuff pressure surpassed the optimal value at six months post-training, suggesting six months should be time point for retraining.
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Sentiment Analysis of Amazon Product Reviews Using Hybrid Rule-based Approach
Статья научная
In recent years, the retail market industry has taken a broad form to sell the products online and also to give the opportunity to customers to provide their valuable feedbacks, suggestions and recommendations. The opinion summarization and classification systems extract and identify a range of opinions about different online available products in a large text-based review set. This paper addresses and reviews the concepts of automatic identification of the sentiments expressed in the English text for Amazon and Flipkart products using Random Forest and K-Nearest Neighbor techniques. It presents a detailed comparative study of such existing sentiment analysis algorithms and methodologies on the basis of five key parameters. It results in evaluating their performance in terms of parameter usage and contributions. The paper also discusses their experimental results and challenges found. Therefore, this study shows the maximum usage of feature extraction, positive-negative sentiment, Amazon web source, mobile phone for a large set of reviews in the existing algorithms.
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Статья научная
This paper investigates the effect of forming techniques on the mechanical and dielectric properties of porcelain insulators. Insulators are used in electrical equipment to separate conductors and prevent the flow of electrical charges. Slip casting is commonly used because it is cheaper and easier, but its inferior strength properties have been reported. However, other forming techniques like press casting, which can compact particle sizes by applying pressure, may result in better mechanical strength and dielectric properties. The study examined slip-casting and press-casting methods to determine which method produces better-quality electrical porcelain insulators. Using both techniques, locally available raw materials such as kaolin, feldspar, silica, and ball clay were processed before being used to create samples. The mechanical and dielectric strength of the electrical porcelain insulators produced through slip and press cast methods were analyzed using an independent t-test to compare the mean value between the two variables (Slip and press cast). The study found that slip casting produces insulators with slightly lower bulk density than press casting, but the difference is not significant enough to affect the insulators' mechanical and dielectric properties. The results showed no significant difference in bulk densities between the two forming techniques, implying that both methods are equally viable for producing shackle-type electrical insulators. These findings provide valuable insights for manufacturers, allowing them to select the most suitable forming technique based on their specific production needs and constraints.
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Статья научная
Advances in semiconductor technology lead to the advancements in integrated circuits which have enhanced performance, reliability, cost effective, low power consumption, etc. To build a complex digital circuitry, millions of transistors are to be embedded onto a single chip to increase the performance and to improve the reliability of the electronic device. This paper aims at building of N-MOSFET, P-MOSFET, CMOS inverter and NAND gate using conventional SiO2 oxide layer and high k oxide layer each of 45nm, 32nm and 22nm technologies respectively and to determine the percentage reduction in power dissipation using high k oxide layer in each device. The above mentioned devices are built using an online Predictive Technology Model tool and H-Spice simulation software and the simulated results are compared.
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Simulation of Crop Evaportranspiration Based on BP Neural Network Model and Grey Relational Analysis
Статья научная
Crop evaportranspiration was studied with measured data of Kongque river irrigation district in Xinjiang Province based on application of BP neural networks, a sensitivity analysis about crop evaportranspiration was conducted according to each input factor by using default factor method, and the grey relational analysis method was applied to certify the results.The results showed that the artificial neural networks model could express quantitatively the response relationship between crop evaportranspiration and various factors with sufficient high accuracy. Soil moisture and solar radiation were the main sensitive factors for soil water-salt dynamic in this irrigation district, the interaction amongst various factors formed coupling relationship under the complicated condition. The grey relational analysis method could further verify the sensitivity degree amongst various factors. The combination of the above methods provides feasible method for analyzing the rules of crop water comsumption during crop growing season, and it is complement and perfection for the traditional research methods of crop evaportranspiration.
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