Статьи журнала - International Journal of Engineering and Manufacturing
Все статьи: 484
Supply Voltage Compensation of Hot Wire Flow Measurement Device
Статья научная
Supply voltage compensation is important to keep the accuracy for hot wire/hot film gas flow sensors. A compensation experiment device is established, the two steps curve fitting is presented to determine the functional relations among flow、sensor output and supply voltage, the coefficient of fitting polynomial is determined by Least Square method, thus eliminating the influence of supply voltage variations. After compensation, the error is reduced to 2%. The algorithm is stabilized, easily to be fullfilled in microcontroller unit.
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Survey on Word Sense Disambiguation: An Initiative towards an Indo-Aryan Language
Статья научная
Resolution of lexical ambiguity, commonly known as Word Sense Disambiguation (WSD) task is to distinguish the correct sense among the set of senses for an ambiguous term depending on the particular context automatically. It plays the vital role as it acts as an intermediate phase to many Natural Language Processing (NLP) applications like Machine Translation, Information Retrieval, Speech Processing, Hypertext navigation, Parts-of -Speech tagging. Existing literature reveals that there are various approaches for lexical ambiguity resolution-Knowledge based, Corpus based. In recent years, many WSD systems is being developed in Indian languages like Hindi, Malayalam, Manipuri, Nepali, Kannada but no such automated system has yet emerged for the Indo-Aryan language- Assamese. Our future work aims to develop a model for the WSD problem which is fast, optimal and efficient in terms of accuracy and scalability. This paper presents a survey report made in this research topic discussing the WSD problem, various approaches along with their algorithms. Moreover it also list out the various NLP applications which would be efficient when disambiguation system is merged. Evaluation measures used to determine the WSD performance are also discussed here.
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Synthesis and Characterization of Ni Doped ZnO Nanoparticles
Статья научная
This paper discerns key ideas and themes of the possibility of growing Ni doped ZnO nanoparticles by electrochemical method. The purpose is to study the growth mechanism and to optimize the parameters of this method. Upon successful synthesizing the samples, they were characterized using various techniques. XRD, SEM, FTIR, photoluminescence spectroscopy together with the measured optical parameters obtained from UV-VIS absorption testing were analyzed. The X-ray diffraction (XRD) was measured by using a Bruker D8 Advance X-ray diffractometer with CuKα radiation. The surface morphology was investigated using an ‘EVO LS 15’ scanning electron microscope. The FTIR absorption spectra were recorded on a Perkin-Elmer GX FTIR system. The PL spectra were collected on a Jobin Yvon-Horiba Triax 190 spectrometer with a spectral resolution of 0.3 nm. UV-VIS absorption spectrum was recorded by using a UV-VIS spectrophotometer in the photon wavelength range between 300 and 600 nm. XRD pattern reveals that the polycrystalline of hexagonal wurtzite structure and the average size of the particles were estimated to be approximately 61 nm, which conform the nanoparticle. The FTIR result shows the stretching vibration of the Zn-O bond in Ni doped ZnO nanoparticles. There is a green emission peak centered at about 384 nm in the PL behavior. The band edge is shifted to the lower energy side of the Ni doped ZnO nanoparticle. Analyzing the results of various types of characterizations, it has been assessed that Ni doped ZnO nanoparticles was successfully synthesized.
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Technical Improvement of Air Pollution Through Fossil Power Plant Waste Management
Статья научная
Fly ash was generally released into the atmosphere in the past, but standards for air pollution control now require that it be captured before release by fitting pollution control equipment. During this process, there are many wastes for example ash and fly ash which is a waste. It is invisible, it has a nasty, and sharp smell. It affects human health when it is breathed in. It irritates the airways to cause coughing and shortness of breath. About 99% of the ash and fly ash in the air comes from human sources. The objective of this study is to reduce wastes and manage it. This project shows two different ways of waste management for two different locations which are Lukut, Malaysia, and Hanau, Germany. Both systems have advantages and disadvantages. The ash pond offers cheap costs and an easy process but exposes the fly ash and its sometimes-hazardous components to the environment. The electrostatic filter acquires more knowledge and is higher in Installation costs, but keeps fly ashes safe in a closed process the electrostatic filter seems to be more environmentally friendly and sustainable. The finding shows that this treatment was successful in reducing the wastes and managing it.
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Testing Coefficients of Autoregressive Conditional Heteroskedasticity Models by Graphical Approach
Статья научная
The graphical approach is applied to the autoregressive conditional heteroskedasticity time series models. After transformation, it is shown that the coefficients of GARCH model are the conditional correlation coefficients conditioned on the other components of the time series, then a new method is proposed to test the significance of the coefficients of GARCH model.
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Textural analysis based classification of digital X-ray images for dental caries diagnosis
Статья научная
In this paper, we propose a suitable textural feature for diagnosis of dental caries in digital radiographs. The dental diagnosis system consists of Laplacian filter for image sharpening, adaptive threshold and morphological operations for segmentation, and support vector machine (SVM) as a classifier. In segmented image, textural features are extracted, and applied to the classifier, to classify the image as caries or normal. Experimental results indicate that GLCM (Grey Level Co-occurrence Matrix) and GLDM (Grey Level Difference Method) textural features are giving better performance measures as compared to other types of textural features with an accuracy of 96.88%, sensitivity of 1, specificity of 0.8667 and precision of 96.08%. The data were analyzed by Analysis of Variance (ANOVA), at a significant level of 5%. This result indicates that the interaction of feature extraction methods on performance measures are significant. Hence, GLCM or GLDM features provide reliable decision support for dental caries diagnosis.
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Texture based Anisotropic Diffusion for Real Ultrasound Image Despeckling
Статья научная
This paper presents a new texture based anisotropic diffusion method for real ultrasound image despeckling. Texture information is obtained by a real ultrasound image model. Unlike traditional anisotropic diffusion methods usually taking image gradient as a diffusion index, we take the image texture as a new diffusion index. The results comparing our new method with others on both simulated image and real ultrasound images are reported, and our method shows the superiority in keeping important features of real ultrasound images.
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The Analysis for the Two-stage Model on Scale-free Networks
Статья научная
In this paper, we will study a two-stage model by complex networks. The dynamic behaviors of the model on a heterogenous scale-free (SF) network are considered, where the absence of the threshold on the SF network is demonstrated, and the stability of the disease-free equilibrium is obtained.
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The Application in Speed Sensor-less Based on BP Neural Network Optimized by Genetic Algorithm
Статья научная
This paper puts forward a strategy that the sensor-less being optimized by the intelligent algorithm applies in the system of direct torque control. Based on the BP neural network in the identification of DTC speed, it optimizes the BP neural network speed identifier by using generic algorithm. It is proved by the simulation results that the neural network has been greatly improved by the application of intelligent algorithm, and the speed sensor-less based on the intelligent algorithm has better stability properties.
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Статья научная
PT SS is the main furniture material distribution company in East Java, Indonesia. PT SS has been applying an information technology system for its whole business processes, both on the lights on, infrastructure, services, management and the plan of the application system project. The objective of this research is to give a clear description of the benefits and impacts of the IS/IT investment to the management, both of the lights on or future projects. It is also intended to produce the right decision and better IS/IT investment alternatives. The researcher proposed to analyze the lights on and the project using New Information Economics (NIE). 4 out of 5 practices of NIE, which are demand/supply planning, innovation, prioritization and alignment, were proposed to be applied. The research resulted in the IS/IT investment strategy on the lights on, the fulfillment of the IS/IT requirements, the development of new innovation and priority of the project based on the company strategy intention. It concluded that the company was able to identify which light on was necessary to be enhanced, corrected or ignored. Moreover, it could be identified which project should be prioritized to allow the company to allocate the resources towards the lights on and appropriate project to support the strategy Intention of the company.
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The Application of VPD in University Entrance Examination Management System
Статья научная
Virtual Private Database (VPD) ensures the privacy of information and prevents direct data leakage through computer terminals by providing Fine-grained Access Control (FGAC). This paper firstly introduces the security requirements of the test database management system and based on which, further analyzes the existing shortcomings in access control technology. Through a brief introduction of VPD, the security design of the test database management system is then described, in which both the security and flexibility of the system are increased and the information leaks and other security related problems of the system are solved.
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Статья научная
Through the research on the mechanism of the P2P botnet, this paper proposes a algorithm of intrusion detection by P2P botnet based on the analysis of successful connection rate. According to the flow, it gets a data collection including three vectors, such as source IP, destination IP and package size, does dynamic analysis of the successful connection rate and average packet. Through the comparison with the methods between the traditional network and normal P2P,this paper provides intuitive figures in which we could locate the position of intrusion by P2P botnet accurately, therefore the algorithm could provide the gist for detecting the intrusion in time.
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The Development of GSM Mobile Phone MMI Software
Статья научная
This article discusses the design and implementation of MMI software of GSM mobile phone. In this design, object-oriented programming techniques are used. The way to design the interface between chip and MMI hardware of GSM is introduced too. These skills make the software has clear program structure, high code efficiency and good reusable modules. In this article the development of GSM mobile phone MMI software modules organization, window management techniques, and shortcuts are talked about.
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Статья научная
In this life, every person is always faced with various options and each choice will certainly bring different consequences. Pharmacy Company as an organization which managed by the human resources are also faced with various options in order to determine a quality officer. The hardest thing in making a choice is an effort to eliminate the subjectivity factor of the procurement team so that every choice made is objective. Based on the analysis of the above requirements, the company need a computer application that can support decision making using the Analytic Network Process. The application is not a key decision makers who will replace the role of men but only as decision support. Applications are made to assist the Personnel Manager of the company in selecting prospective employees and new employee selection. In addition, the application also help in a structured data collection so that support a balanced and objective assessment.
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The Emerging Role of Academia in Sqa
Статья научная
Now that every company and every consumer prioritize quality over quantity of work, the career of Software quality assurance is also taking a leap, especially in the field of academia. Thus, this report gives an overview of what a future with the usage of software quality control and testing would look like, and why it’s needed for the development of the caliber of software used all around the globe. It further marks out why adding courses related to software quality assurance in the curriculum is important and how this addition can widen the dynamics of software control, quality and testing industries. It also marks out how, even today, academia can and is playing an integral role in the developmental process of software quality assurance and testing in terms of the research that can be and is being made towards the whole developmental process of SQA. Universities and undergraduate programs can further play an important role towards the researching the horizons and fields software testing and assurance has to offer in the near future. Furthermore, this report questioned various practitioners belonging to some of the most prestigious IT companies about their opinion on the research questions involved in this report so as to verify the credibility of the data that has been gathered. At the end of the research, we have a foresight for as to how the industry of software quality assurance and software testing will grow.
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The Identification of Human Cassette Exons based on SVM
Статья научная
Alternative splicing is the main mechanism expanding transcript diversity. Cassette exon is an important alternative splicing form that is very similar to constitutive exon in sequence features. Previous studies which based on expressed sequence tags (ESTs) and evolutionary conservation information have identified many alternative splicing events. In this paper, we construct a classifier to identify the human cassette exons based on Support vector machine (SVM) which only make use of sequence information. It can achieve the accuracy of 68.12%. Especially, the classifier can achieve 76.54% when considering the splicing frequency. The results show that the sensitivity and specificity of this method are higher than those recently reported on the same dataset.
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Статья научная
This paper measured the impact of the implementation of the five core Industry 4.0 technologies (artificial intelligence, big data analytics, cloud computing, cybersecurity, and Internet of Things (IoT)) on organizational behavior and corporate culture of businesses and organizations in Pakistan. Moreover, the influence of organizational behavior and corporate culture on organizational effectiveness was also analyzed in this paper. The retail industry of Pakistan was chosen as the subject of this study, and a quantitative approach, which included a questionnaire based on a five-point Likert scale ranging from “strongly agree” to “strongly disagree,” was employed to gather the responses from participants, including both superiors and subordinates possessing the technological know-how of Industry 4.0. The findings indicated that the implementation of Industry 4.0 in Pakistan’s retail sector helps positively transform organizational behavior and aids in building a great corporate culture. Moreover, it was found that both positive organizational behavior and great corporate culture help in improving the overall organizational effectiveness. This study took an unprecedented step to research Industry 4.0 from an organizational perspective. Furthermore, the carried-out study extended the theoretical body of knowledge by studying and examining the five crucial factors of Industry 4.0 that contribute to the service sector, particularly the retail industry, of the big emerging markets (BEM) economies, including Pakistan.
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The Impact of Organizational Slack on The Performance of Pharmaceutical and Chemical Firms
Статья научная
The purpose of this paper is to attempt to reconcile previous views of the relationship between organizational slack and performance through examining the impact of organizational slack on the performance of pharmaceutical and chemical firms by using empirical analysis based on the data get from 47 firms in Henan Province. The result shows that the relationship between organizational slack and the performance of pharmaceutical and chemical firms is inverse N-shaped. The results broadly demonstrate that relationships differ based on industry circumstances and organizational slack. Additionally, this study is the first to empirically identify an inverse N-shaped relationship between slack and performance, indicating that, in certain industry circumstances, little and much slack is bad for performance. Overall, results highlight the importance of additional research into intervening factors impacting the slack–performance relationship.
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The Influence of Stage Structure and Prey Refuge on the Stability of the Predator-Prey Model
Статья научная
This paper aims to study the prey refuge impact on the dynamic behaviour of a stage structure predator-prey model. The model consists of four ecological species: prey in the protected and unprotected area and immature and mature predators. It assumes the grown predator can feeds only on the prey in an unreserved area. The conditions that guarantee the existence of the possible fixed points are found. Further, the local stability around all of the equilibria is considered. Then, using the Lyapunov direct method, the essential conditions for the global stability of the equilibria are adopted. Numerical simulations are illustrated to confirm our results. It concluded that the protected area positively affects the system's co-existence.
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The Multimedia Sentiment Model Based on Online Homestay Reviews
Статья научная
Aiming at the fact that traditional sentiment analysis is based on text, without considering the factors such as special symbols and emoticon images, which can’t fully extract the user's emotions, this paper proposes a sentiment analysis method of online homestay reviews based on image-text fusion. For text datasets, first use Word2vec to build a topic clustering model, then find the corresponding topic attribute dictionary through the topic center words, use Bayesian classifier is used for sentiment analysis, compared with SVM and decision tree methods, to evaluate the effect; For the picture dataset, Convolutional Neural Network (CNN) model is initialized by parameter migration, and image sentiment classification model is obtained by fine-tuning training of CNN model after parameter migration; Finally, the fusion method is designed to calculate the emotional probability of image-text, then judge the emotional polarity and compare it with the user's score, The accuracy rate is 88.6%, which is higher than that of text sentiment analysis model or image sentiment analysis model. The experimental results show that the sentiment analysis of image-text fusion has better classification effect on image-text reviews and more effectively avoid the problem of inconsistency between user ratings and the emotion expressed in comments.
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