International Journal of Engineering and Manufacturing @ijem
Статьи журнала - International Journal of Engineering and Manufacturing
Все статьи: 520
Статья научная
As one of the countries situated in the Pacific Ring of Fire, the Philippines suffers from an inexhaustible number of natural disasters every year. One of the most destructible ones is the occurrence of earthquakes. Because of the high damage that earthquakes incur, along with their inevitability and unpredictability, developing effective methods of earthquake damage mitigation as well as disaster preparedness is imperative to lessen the negative impacts it is capable of producing in communities. One efficient way of doing this is by implementing an earthquake early warning (EEW) system that is capable of sending message alerts to receivers to warn them in the event of a hazardous earthquake. With this objective, this study centers on creating an earthquake detector with SMS messaging to function as an EEW system with an added advantage of being low-cost to make it more accessible to the public. Using electronic components based on an Arduino Mega 2560 and a Global System for Mobile Communications (GSM) module, the earthquake detector and its alert message system were created. A series of tests in different locations across Butuan City was then performed to assess the device’s accuracy in measuring different Intensity levels when subjected to surface vibrations. Comparative analysis showed that its recorded values. Corresponded with the values obtained from accelerometer-based mobile applications. In conclusion, the study was deemed functional in its ability to detect low and high surface vibrations, which proves that it is successful in detecting earthquake tremors and vibrations in the event of an earthquake.
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Статья научная
The main focuses are to design controlling systems of good disturbance, stability rejection, and small error-tracking. Trajectory tracking of robot manipulators are controlled by several methodologies, but when robot manipulator works with uncertain dynamic models, some limitations of this technique appear. Concerning the control perspective, such uncertainty can be divided into two groups: the unstructured inputs (e.g. disturbance effect) and the structure dynamics (e.g. the changes of parameter). Within a small number of applications, some environments, could be unknown or unstructured, make use of robot manipulators, along with some tools of strong mechanics also can make use of new methods of control to design a controller of nonlinear robust with a reasonable performance. So in this paper we test the effect of disturbance in control the first DOF of PUMA 560 using non model based FO-Fuzzy-PID controller and compared its results with two model based controllers (CTC, ANN). Also we study the effect of change of inertias parameters in the 2 cases Model based control and non- Model based control and then discus which controller give the best results. The main objective of this paper is that the non model based FO-Fuzzy-PID is able to emulate the manipulator dynamic behaviour without the need to have a complex nonlinear mathematical model for the robot.
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Transabdominal and Laparoscopic Myomectomy Comparative Analysis of 566 Cases
Статья научная
The purpose of our study here is introducing curative effect by comparing and analyzing abdominal type myomectomy and laparoscopic myomectomy. We have compared and analyzed 301 cases of abdominal type myomectomy and 265 cases of laparoscopic myomectomy which were in our hospital from January 2003 to December 2008. The study shows that the time of abdominal type myomectomy is 87.18±36.80 minutes, and the time of laparoscopic myomectomy is 81.56±30.71 minutes. There isn’t obvious difference between these two kinds of surgeries. The hemorrhagic volume in abdominal type myomectomy is 106.86±32.65 ml and the hemorrhagic volume in laparoscopic myomectomy is 85.23±30.37 ml. The hemorrhagic volume difference in these two kinds of surgeries is very important from the point of view of statistics (P<0.01). The average days which used to restore in abdominal type myomectomy is 2.85±1.73, and the average days which used to restore in laparoscopic myomectomy is 5.81±1.47. And the difference is also very important (P<0.01). We have concluded that the laparoscopic myomectomy has such advantages as small hurt, rapid restoration and no incision. On the other hand, the hemorrhagic volume is very low and the restoration-days are very low.
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Transfer Characteristics of Three Kinds of Micro-groove Heat Pipes
Статья научная
In this paper, a simulation of three kinds of micro-groove plate heat pipes- rectangular; trapezoidal and triangular, is conducted by thermal analysis software ANSYS. Through comparing with the focal point temperature value of the surfaces of micro-groove plate heat pipes, respectively being 30W; 40W; 50W, the result is obtained that trapezoidal plate heat piper has more excellent performance.
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Transfer Learning based Breast Cancer Classification via Deep Convolutional Neural Network
Статья научная
Breast cancer is a leading cause of death among women, and the subjectivity of human visual perception and lack of automated detection methods can lead to misclassification of breast cancer images. In this study, a breast cancer classification model using a Convolutional Neural Network (CNN) deep learning algorithm was proposed. The model demonstrated high accuracy in classifying breast images as benign or malignant, with a classification accuracy of 97.1%. The model was also able to run on low computational resources. The study used a dataset of 2009 breast images labeled by two radiologists and included six scenarios based on different hyperparameters, augmentation values, pretrained models, and models built from scratch. While the performance of the proposed model was promising, further improvement may be achieved by using a larger breast image dataset and a machine with more powerful GPU hardware.
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Transfer Learning with EfficientNetV2 for Diabetic Retinopathy Detection
Статья научная
This paper investigates the application of EfficientNetV2, an advanced variant of EfficientNet, in diabetic retinopathy (DR) detection, a critical area in medical image analysis. Despite the extensive use of deep learning models in this domain, EfficientNetV2’s potential remains largely unexplored. The study conducts comprehensive experiments, comparing EfficientNetV2 with established models like AlexNet, GoogleNet, and various ResNet architectures. A dataset of 3662 images was used to train the models. Results indicate that EfficientNetV2 achieves competitive performance, particularly excelling in sensitivity, a crucial metric in medical image classification. With a high area under the curve (AUC) value of 98.16%, EfficientNetV2 demonstrates robust discriminatory ability. These findings underscore its potential as an effective tool for DR diagnosis, suggesting broader applicability in medical image analysis. Moreover, EfficientNetV2 contains more layers than AlexNet, GoogleNet, and ResNet architecture, which makes EfficientNetV2 the superior deep learning model for DR detection. Future research could focus on optimizing the model for specific clinical contexts and validating its real-world effectiveness through large-scale clinical trials.
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Статья научная
When we are translating SQL into relational algebra, we need a simple but flexible form to represent the data structure involved. As an interim result of the calculation, relational algebra tree combined with object-oriented model can gives us simple, intuitive notation allowing the query to be efficiently expressed and implemented at amazing ease.
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Статья научная
Comparative study of cryptography and steganography techniques shows that they have some strong and weak points when they used alone. But as we know from soft computing techniques (neural, genetic, and fuzzy computing), that when combining (hybridizing), more than one techniques, by the suitable way to do a job, the outcome will be a better technique with more strong points and less weak points. Work of this paper represents an attempt to prove that combining cryptography with steganography techniques will result in hard transmitting system to break and thus enforcing security issues of secret text data transmitting over public channels. Matlab programs are written to encrypt plain text secret information following AES encrypt/decrypt algorithm with a key of 128 bits long and then hide/extract the text according to LSB insertion method with a key of 128 bits long too. System tests show that both techniques enforce each other and private data transmitting become more secure.
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Статья научная
A major challenge today in communication and over various communications medium is the wanton havoc wreaked by attackers as they continue to eavesdrop and intrude. Young and inexperienced academia are today faced with the challenge of journal houses to send cum have their articles published. The negative impact thus, of predatory and hijacked journals cannot be over-emphasized as adversaries use carefully crafted, social engineering (phishing attack) skills – to exploit unsuspecting and inexperienced academia usually for personals gains. These attacks re-direct victims to fake pages. The significance of the study is to advance a standard scheme/techniques employed by phished (predatory/hijacked) journals to scam young academia and inexperienced researchers in their quest for visibility in highly impactful indexed journals. Thus, our study advances a decision-tree algorithm that educates users by showing various indicators cum techniques advanced by predatory and hijacked journals. We explore journal phishing attacks employed by such journals, targeted at young academia to adequately differentiate also using web-page ranking. Results show the classification algorithm can effectively detect 95-percent accuracy of journal phishing based on journal metric indicators and website ranks.
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Unilateral vital signs monitoring systems on IoT
Статья научная
With the consistent development of remote sensor systems and Internet of Things (IoT) different parts of life will benefit. IoT based pervasive human services framework can possibly give blunder free restorative information and alarming system in basic conditions with constant checking. The device will minimize the need of devoted medicinal staff for patient checking and help the ailing to lead an ordinary life other than furnishing them with great restorative medical aid. This paper presents the working model which fuses sensors to gauge parameters like body temperature, blood pressure level & pulse. A microcontroller board is utilized for examining the inputs from the patient. Additionally all the procedure parameters inside of an interim selectable by the patient are monitored. This is extremely valuable for future examination and survey of feeble wellbeing condition. For more flexible restorative applications, this venture can be extemporized, by consolidating continuous parameter observing parameters respiratory thoracic extension belt sensors and annunciation frameworks, in this manner making it valuable in clinics as an exceptionally effective and committed aid consideration unit.
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Variational Iteration Method for Solving Differential Equations with Piecewise Constant Arguments
Статья научная
In this paper, variational iteration method is applied for finding the solution of differential equations with piecewise constant arguments. A correction functional is constructed by a general Lagrange multiplier, which can be identified by variational theory. This technique provides a sequence of functions which converges to the exact solution of the problem without discretization of the variables. The flexibility and adaptation provided by the method have been verified by an example.
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Vehicle Object Tracking Based on Fusing of Deep learning and Re-Identification
Статья научная
Object tracking is a popular problem for automatic surveillance systems as well as for the research community. The requirement of an object tracking problem is to predict the output including the object position at the current frame based on the input the position of the object at the previous frame. To present the comparison and experiment of some object tracking methods based on deep learning and suggestions for improvement between them in this paper, we had taken some important steps to conduct this research. First, we find out the studies related to deep learning-based object tracking models. Secondly, we examined image and video data sets for verification purposes. Thirdly, to evaluate the results obtained from existing models, we experimented with a little work related to object tracking based on deep learning networks. Fourth, based on the implemented object tracking models, we had proposed a combination of these methods. And finally, we summarize and give the evaluations for each object tracking model from the results obtained. The results show that object tracking based on Siammask model has the highest results TO score of 0.961356383 on VOT dataset and 0.969301864 on UAV123 dataset, but the possibility of errors is also high. Although the result of the combined method has few scores those are lower than the object tracking based on Siammask model, the combined method is more stable than the object tracking based on Siammask model when TME score of 16.29691993 on VOT dataset and 10.16578548 on UAV123 dataset. The Vehicle ReIdentification method results have scores that are not too overwhelming. However, the TME score is the highest with the TME score of 11.55716097 on the VOT dataset and 4.576163526 on the UAV123 dataset.
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Virtual Prototype Technology of Product Which Based on Computer
Статья научная
In this paper, we have mainly analyzed the relationship between virtual prototype and concurrent design. Then we have concluded the model of virtual prototype and simulation method which based on field object. On the other hand, we have introduced the key technology which supports virtual prototype’s integration framework.
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Voice Pathology Identification: A Survey on Voice Disorder
Статья научная
Nowadays, Identification and Classification of voice pathology plays a major role in the field of speech processing. This paper explores and compares various things like input database, parameters, features extraction techniques, methodology and classification techniques used by the researchers in the problem of identifying the voice pathology. In this paper, we compared seven research works done in the field of voice pathology identification and classification. By analyzing the data's mentioned in these research papers and by considering these research papers as a base study, we wish to do the further research on voice pathology identification.
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Walking mobile robot of arbitrary orientation
Статья научная
The article describes the device and the mathematical model of a walking mobile robot of a fundamentally new construction. The difference between this technical solution is the ability to move the robot on surfaces of arbitrary orientation in different coordinate systems: rectangular Cartesian, cylindrical and spherical. In the proposed design, the walking robot mechanism is made in the form of flexible pedipulators and allows the mobile to perform transitions on surfaces that have an arbitrary orientation at different angles to the horizon. The technique for calculating the construction parameters of the walking robot mechanism and the trajectories of the robot legs bending is given. This walking robot is designed to perform technological operations in extreme conditions.
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Web-Based Two-Way Electricity Monitoring System for Remote Solar Mini-Grids
Статья научная
Electricity usage monitoring systems play a vital role towards raising energy utilization awareness for consumers. Existing solar mini-grid infrastructure, however, lacks a user-friendly two-way platform to allow consumers to access information about electricity consumption. This paper proposes a cloud-based, two-way energy usage monitoring system that will allow both utility companies and consumers to access energy consumption data in a user-friendly way through a web platform. The system requirements were collected via questionnaires, interviews, and observations conducted at two solar mini-grids centres located at Arusha and Kilimanjaro regions in Tanzania. The system uses a Low Power Area Network (LPWAN) and the existing GPRS network to monitor electricity consumption data between smart meter units and the cloud server. Also, a virtual bill payment module and usage status feedback functionality have been integrated into the system to increase awareness of the cost-effective use of electricity and hence, achieve the sustainability of solar mini-grids. By using both white-box and black-box system testing approaches, findings show that the system will not only raise awareness among customers about the economical usage of electricity, but it can also be used by mini-grid companies as a source of data to determine current and future energy demands to minimize large investment costs.
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WiFi Based Indoor Navigation System for Closed Buildings Using Smart Phones
Статья научная
The easy access and availability of wireless technologies and mobile computing and the internet have led to new opportunities in developing mobile applications whose purpose is to make people’s life easier. Nowadays, a person can possess more than one mobile device intended for different usage such as communication, entertainment, office work. This GPS (Global Positioning System) is one of the equipment that helps to find the way to reach the destination from the source. The use of GPS as a tool to determine the location of course has a shortage when used indoors such as Shopping Malls, Hotels, College, etc. Our project is a small attempt towards an affordable and efficient indoor navigation system in which users need to turn on mobile Wi-Fi and scan the available Wi-Fi network and its strength. If the WiFi with maximum strength is found then application will show the current location then the user can select the destination from the available options. Due to this application will show the path to the user in form of text also the application can speak the path to the selected destination
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Статья научная
A communication system requires a highly stabilized frequency; LC and RC oscillator are two wide option for frequency generation. Performance of an LC oscillator suffers from leakage, area, noise etc compare RC oscillator. Voltage controlled oscillator (VCO) is preferred category if RC oscillator to generate high oscillator frequency. VCO contains odd number of delay stage cascaded together; output frequency strongly depends on switching threshold of individual stages. A 3 stage current starved VCO can generate upto 0.6 Ghz; this work is focused around body bias technique to increase frequency without increasing number of delay stage. Oscillation frequency has been controlled by bulk terminal of PMOS and NMOS individually and by means of adaptive body bias network. Cadence spectre based simulation result at CMOS 90nm shows that by reverse biasing of PMOS obtained frequency is 1.2GHz-10.01GHz with tuning range of 95% while biasing of NMOS generate frequency of 500MHz- 12.5GHz with tuning range capability of 96%. This design presents high frequency with wider tuning range and optimum reduced power by which this oscillator design can be used in different band of communication.
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Wind Power Generation Plant Addressing Which Based on WASP Software
Статья научная
We have studied some basic problems about wind power generation plant addressing, such as the economy of wind power generation plant addressing, the affection of environment and wind power characteristics. We have analyzed and discussed seriously by comparing the steps about wind power generation plant addressing. In this paper, we also introduced the WASP software which used to how to address wind power generation plant.
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Wireless Vehicular Communication
Статья научная
The proposal entitled as “Wireless Vehicular Communication” deals with communication between vehicles and infrastructural units. This proposal is designed to enable communication between vehicles and the surrounding infrastructure, such as traffic signals and road sensors. The aim of this project is to improve traffic flow, reduce congestion and enhance overall road safety. This project primarily aims at providing instantaneous communication between two vehicles or between vehicles and infrastructure to ensure safety of the passenger. This system is also known as Crucial Message Exchange System (CMES). CMES not only helps in message transmission but also in collection, storage and monitoring of the messages. This system processes data and has the ability to extract crucial information for future machine language-based processing. The CMES system uses the ESP8266 module as the on-board unit in a vehicle to implement Vehicle to Infrastructure Communication (V2I). This module interacts with the Raspberry Pi board using Message Queue Telemetry Transport (MQTT) protocol to relay information. The Raspberry Pi board is considered as the embedded unit in the infrastructure. Raspberry Pi not only facilitates the collection of data but also is responsible for storage and retrieval in cloud systems. All the said components working together ensures a reliable message passing system which will be of immense help to the drivers/passengers on road.
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