Статьи журнала - International Journal of Engineering and Manufacturing
Все статьи: 484
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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Simulation of Eddy Current Separation of Gold Particles from Sands
Статья научная
The particles of gold can be reuse and recovered from electronics products and cards by sorting from many other metals or from sands. In mixtures of small gold spheres and sands have been sorted by an efficient method called eddy current separation able to separate the gold from a mixture of non ferrous particles. It's a mining sort and recycling industry. This study is based on the ejected force created by the eddy currents induced and the rotation of drum. These eddy currents create a opposing magnetic field to create magneto-dynamic repulsive force between permanent magnet of separator and gold particles, these last will be ejected in collector by gravity force.
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Single Component, Multiphase Fluids Flow Simulation in Porous Media with Lattice Boltzmann Method
Статья научная
In this paper, a single component, two-phase flow simulator is developed to investigate the behavior of isothermal two-phase fluid flow in porous media. The simulator is based on the lattice-Boltzmann method and the Shan–Chen multiphase model of nonideal fluids that allow coexistence of two phases of a single substance. We reproduce some different idealized situations in which the results are already known from theory or laboratory measurements and show the validity of the implementation for the physical two-phase flow in porous media. Application of the method to fluid intrusion in porous media is discussed and shows the effect of wettability on the fluid flow. The capability of reproducing critical flooding phenomena under strong wettability conditions is also proved.
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Skin Lesion Detection Using Fuzzy Approach and Classification with CNN
Статья научная
Skin lesion detection at early stage is very effective for patients. As a result, patients can get time for treatment. Moreover, this early detection helps a patient in the long-time survival. However, skin lesion detection from a dermoscopic images is not a general task. Due to inter and intra-observer variations in human interpretations, research on skin lesion detection from dermoscopic images become important. In this paper, we proposed a method to segment and detect lesion of skin from images. The proposed method is based on a set of rules of fuzzy logic approach. Firstly, a set of rules is applied on dermoscopic images. The output is then thresholded. Closing operation as a morphological tool is used on the thresholded image. Then area filtering takes a place which results in the desired output. With respect to different learning models, CNN shows better performance in classifying ISIC and Dermis-dermquest dataset. The system delivers a significant performance, which is remarkable and comparable.
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Smart Home Automation Using IOT and its Low Cost Implementation
Статья научная
The use of automation is emerging with the help of internet providing possibility of objects to work it-self. With recent advancements to the fast speed internet, IoT will be playing a vital role in our daily tasks in present and future. IoT is offering feasibility and effectiveness to the system that are based upon it. These modern technologies are creating comfort and standard way of living because of its time, energy and cost efficiency. In this modern world, where things are going to be on our finger tips, our daily household appliances will also be controlled with our smartphones. This will allow us to manage the usage smartly, and can help in building of an eco-friendly environment. This paper will conduct a study based on how household appliances may be automated smartly with software applications that are integrated with hardware board. It presents the complete architecture of the system with its working capabilities. Also, it explains the internal mechanism of the system which mainly considers the software application and hardware board interaction. As we know the smart home automation is a costly process, so in this paper we would be looking at its low-cost implementation.
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Smart Home Monitoring using Android and Wireless Sensors
Статья научная
Common electrical hazards that occur at home are usually associated with the usage of faulty home appliances and electrical distribution. Circuit breakers are normally used to protect overloading at residential homes. We envisage that by monitoring continuously the usage characteristics of electrical power at every power point in real time could be the best method for protection. Presently, wireless sensor network (WSN) has been used in home monitoring to optimally manage the ‘well-being’ of power distribution in home in order to minimize hazards caused by electrical faults. This technique incidentally helps controlling the tariff by maintaining the power usage optimally. It has also been found that not much study has yet been made towards the use of WSN for monitoring electrical power and the consequent hazards with a view to ensure the welfare of residents at home. Based on this idea, we have developed a real time WSN based Electrical Hazard monitoring system that also uses android mobile application environment. The android based smart home monitoring, christened as ABASH system the details of which we present in this paper, detects the threshold violation in electrical parameters and produces an appropriate alert signal for home owners to enable them to take proper remedial actions depending on the situation, much before the circuit breaker operates. The proposed system has been validated specifically for the Brunei Electric standard as a case study. The details are provided in the paper.
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Smart Lighting System Using LoRa WAN Technology
Статья научная
The augmentation of the populace and the addition of the street have expanded the no of the streetlamp, for the street and individual’s security, which builds the venture and energy. Lighting burns-through satisfactory measure of energy in both open-air and indoor. Anyway, various methodologies are being proposed for making the framework energy effective and updated with the most recent innovation. This exploration gives the exact and the best command over the energy proficient road lighting framework. It will give the functional execution utilizing LoRa and the Arduino just as the data utilizing different sensors. This exploration provides conservation of energy and with efficient monitoring of light as well as accident that happen in road due to less efficacy presences of light.
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