Статьи журнала - International Journal of Education and Management Engineering

Все статьи: 363

3D Steady Model and Simulation for a Proton Exchange Membrane Fuel Cell Performance

3D Steady Model and Simulation for a Proton Exchange Membrane Fuel Cell Performance

Yongsheng Wei, Hong Zhu

Статья научная

A three-dimensional, steady-state non-isotherm mathematical model for proton exchange membrane fuel cell is developed. The model takes into accounts simultaneously the mass, momentum, energy, species, charge conservation equation and combines electrochemistry reaction inside the cell. The simulation results show that it is easy to improve the fuel cell performance for higher porosity in the diffusion layer, because of the benefit of speeding the gas diffusion, reducing the concentration grads of gas, depressing the ridge board domino offect and falling current density grads.

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A Case Study of School Administrators' Information Literacy

A Case Study of School Administrators' Information Literacy

Wang Yajie, Sun Honglin

Статья научная

An investigation on the present situation of school administrators‟ information literacy in Beijing University of Civil Engineering and Architecture was carried out from information consciousness, information competence and information morality.The analysis on the investigation data was made. This paper afforded a referenced gist for information literacy education.

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A Case Study of Web Based Application by Analyzing Performance of a Testing Tool

A Case Study of Web Based Application by Analyzing Performance of a Testing Tool

Hafsah Mahmood, Mehreen Sirshar

Статья научная

For the better business reason and to spare time and cash, automation testing is required. Software automated testing tools are being used by many companies for the sake of judging the performance, efficiency, and effectiveness of the software. There are assortments of apparatuses, which are accessible in the market. One of the best known instruments is selenium suite which is a blend of various automated testing apparatus. The paper presents a comparison made between selenium and other tools to find the best tool and on the basis of the results; a case study is presented to explore the performance of the selenium.

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A Comparative Study of Data Mining Algorithms for Image Classification

A Comparative Study of Data Mining Algorithms for Image Classification

P Thamilselvana, J. G. R. Sathiaseelan

Статья научная

Data mining is an important research area in computer science. It is a computational process of determining patterns in large data. Image mining is one of important techniques in data mining, which involved in multiple disciplines. Image Classification Refers the tagging the images into a number of predefined sets. It's also includes image preprocessing, feature extraction, object detection, object classification, object segmentation, object classification and many more techniques. Image classification to produce the accurate prediction results in their target class for each case in the data. It is a very predominant and challenging task in various application domains, including video surveillance, biometry, biomedical imaging, industrial visual inspection, vehicle navigation, remote sensing and robot navigation. The aim of this study compares the some predominant data mining algorithms in image classification. For this review SVM, AdaBoost, CART, KNN, Artificial Neural Network, K-Means, Chaos Genetic Algorithm, EM Algorithm, C4.5 algorithms are taken.

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A Comparative Study of Global Software Development Tools Supporting Project Management Activities

A Comparative Study of Global Software Development Tools Supporting Project Management Activities

Hafiz Anas Bilal, Sunnia Amjad, Muhammad Ilyas

Статья научная

For the last few years,Global Software Development (GSD) has been gaining attention of experts and researchers. Because of distance, communication and cultural issues GSD is creating hurdles for performing effective project management. In this regard, GSD provides a large number of tools and technologies to facilitate and simplify the work for project managers. To accomplish this task we have used a framework.The results of the study of 21 existing tools reveals that although GSD tools show dominating strengths in achieving some Project Management (PM )goals, yet much work needs to be done. Comprehensively, there is an ultimate need of a single GSD that could facilitate every aspect of PM.

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A Contrast Between Systematic and Automated Sentiment Analysis

A Contrast Between Systematic and Automated Sentiment Analysis

R.Nithya, D.Maheswari

Статья научная

Sentiment analysis mainly focuses on subjectivity and polarity detection. Today consumer makes buying decision based on the customer's review that is available in each of the online shopping sites. There are some of the specific websites which discuss about positive and negative facts of those products that comes to market. Hence this type of analysis are socially very needed for sellers to undergo market analysis, branding, product penetration, market segmentation and so on. This paper mainly focuses on difference between systematic and automated methods of determining the positive and negative polarity distribution of Samsung Tablet PC.

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A Controlled Sinusoidal Signal Generator Based On Direct Digital Synthesize

A Controlled Sinusoidal Signal Generator Based On Direct Digital Synthesize

Liu Zhidong, Wang Shixu, Mao Qun, Xu Zilin, Yang Kuo, Liang Pan

Статья научная

In this paper, a controlled sinusoidal signal generator (CSSG) based on the direct digital synthesize (DDS) chip-AD9851 is introduced. The CSSG is controlled by MSP430F4250, which is an ultralow-power microcontroller. The micro control unit (MCU) receives 4-20mA current provided by a current transmitter and then computes the frequency value of the input signal. A frequency value is converted to frequency words which are sent to AD9851. Through an amplifier, a sinusoidal signal can be obtained. With changing the value of input current, sinusoidal signal with different frequency value can be generated. Experiments indicate that the system can produce the sinusoidal signal with frequency 1MHz to 2MHz and accuracy 1Hz.

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A Course Project of Chinese Character Text Editor for Embedded System Education

A Course Project of Chinese Character Text Editor for Embedded System Education

Ye Junjie, Yu Jianxin

Статья научная

Course project experiment plays a very important role in master student embedded system software education. The paper gives the design and implementation solution to a Chinese character text editor for embedded system, including requirement analysis, function design, task division, main process flow, Chinese character process, man-machine interface layout and test results. This course project can be used as a template for embedded system software experiment.

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A Cross-Layer Dynamic Probabilistic Broadcasting Strategy for Mobile Ad hoc Networks

A Cross-Layer Dynamic Probabilistic Broadcasting Strategy for Mobile Ad hoc Networks

WANG Qingwen, Shi Haoshan, Qi Qian

Статья научная

In order to solve the broadcast storm problem caused by blind flooding, a cross-layer dynamic probabilistic broadcasting strategy for mobile ad hoc networks (CLDPB) is proposed. CLDPB adopts the cross-layer design, which let routing layer share the received signal power information at MAC layer while still maintaining separation between the two layers. The additional transmission range that can benefit from rebroadcast is calculated according to the received signal power, which is applied to dynamically adjust the rebroadcast probability. CLDPB reduces the redundant retransmission and the chance of the contention and collision in the networks. Simulation results reveal that the CLDPB achieves better performance in terms of the saved-rebroadcast, the average packet drop fraction, the average number of collisions and average end-to-end delay, which is respectively compared with the blind flooding and fixed probabilistic flooding applied at the routing layer while IEEE 802.11 at the MAC layer.

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A Data Analysis and Evaluation System on LabVIEW

A Data Analysis and Evaluation System on LabVIEW

Lu Qirong, Huang Yuanyuan, Wang Tao, Sun Lin

Статья научная

The concentration or composition of industrial waste gas is an important parameter in process industry. According to the required of an industrial waste gas monitor and control project a system of data analysis and display is designed based on LabVIEW. The system has 6 modules including error analysis, equal precision data processing, Non-precision data processing, uncertainty evaluation, least squares and regression analysis. Running results indicated that this system is steady and rapidly. It can be used to deal the concentration or composition data accurately in real-time and can be display the result by graph or character. Remarkably the system is designed by LabVIEW, it is easy to modify, upgrade and to use as a subVI in other LabVIEW control system.

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A Decision Tree Approach for Predicting Students Academic Performance

A Decision Tree Approach for Predicting Students Academic Performance

Kolo David Kolo, Solomon A. Adepoju, John Kolo Alhassan

Статья научная

This research is on the use of a decision tree approach for predicting students' academic performance. Education is the platform on which a society improves the quality of its citizens. To improve on the quality of education, there is a need to be able to predict academic performance of the students. The IBM Statistical Package for Social Studies (SPSS) is used to apply the Chi-Square Automatic Interaction Detection (CHAID) in producing the decision tree structure. Factors such as the financial status of the students, motivation to learn, gender were discovered to affect the performance of the students. 66.8% of the students were predicted to have passed while 33.2% were predicted to fail. It is observed that much larger percentage of the students were likely to pass and there is also a higher likely of male students passing than female students.

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A Dynamic Scheme Based on Clustering for Wireless Sensor Networks MAC Protocol

A Dynamic Scheme Based on Clustering for Wireless Sensor Networks MAC Protocol

BAO Li-yong, ZHAO Dong-feng, ZHAO Yi-fan

Статья научная

Wireless Sensor Networks(WSNs), as one of the most important techniques in the 21st century, receives auniversal attention to the research on its key techniques.A solution is urgently expected to meet thehigher-quality service requirements of various applications on the limited bandwidth of wireless networks.Based on the ideas of Priority-based polling transmission with high-efficiency, and dynamic self-adaptation to loading, this paper presents a new analysis model of MAC Scheme of wireless sensor networks, which has made possible the Cluster Header capable of differentiating the nodes of different priority levels under mixed services policy and which has improved the flexibility and adaptability of the system via adjustment of the switch-in service in three time of load change input. The theoretical model of this protocol is established with Markov chain and probability generating function. Mathematical analysis is made on the mean queue length and the mean inquiry cyclic time of the common queue and the key node. It turns out that the findings from theoretical analysis correspond well with those from simulated experiments.

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A Framework of Network Virtual Experiments for Control Courses

A Framework of Network Virtual Experiments for Control Courses

Lu Jianfeng, Li Hongjun, Ma Yumin

Статья научная

With the development of computer science and Internet, using the virtual experiments to help improvement of teaching effects is becoming more and more popular. This paper describes a framework of virtual experiments for control courses in college. It includes three layers. The user interface layer bases on Flash technology, the data exchange layer bases on Webservice technology, the calculation module in data process layer bases on Modelica language. This framework provides a friendly user interface and solved the problem that the control experiments need multifarious calculation when simulation the real phenomenon. An example of virtual experiment is also be shown in the final of this paper. This framework can also be used for virtual experiments of other courses in college education.

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A Fuzzy Delphi and Fuzzy AHP Application for Evaluating Online Game Selection

A Fuzzy Delphi and Fuzzy AHP Application for Evaluating Online Game Selection

Jao-Hong Cheng, Shu-Wei Chen

Статья научная

The trend of playing online games as an online entertainment has rapidly proliferated worldwide. This paper examines critical factors related to the selection of online games. Taking content design and operations management into account, we identified 15 constructs in the literature survey. The fuzzy Delphi Method is used to evaluate the primary criteria collected from 20 heavy players in Taiwan and the Fuzzy Analytic Hierarchy Process employed to calculate the weights of these criteria so as to establish a fuzzy multi-criteria model of online game selection. The results indicate the greatest weight being placed on the dimension of online game selection, and the 11 critical criteria related to online game selection were: (1) scenario, (2) graphics, (3) sound/light effects, (4) interface, (5) access, (6) interactivity, (7) security, (8) reliability, (9) responsiveness, (10) assurance, and (11) empathy. This study may have a contribution to make in terms of understanding how online game companies can reinforce content design and operation quality in an attempt to achieve competitiveness.

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A Hybrid Approach to Sentiment Analysis of Technical Article Reviews

A Hybrid Approach to Sentiment Analysis of Technical Article Reviews

Babaljeet Kaur, Naveen Kumari

Статья научная

Sentiment analysis is similar to opinion mining, which is a popular research problem to search out in the field of NLP. Sentiment analysis determines the perspective of the author and identifies the positive, negative and neutral reviews. It provides the reviews or opinions of people's on text, article and product which can be positive, negative or neutral. Reviews on the different websites, social networking sites is an important source to collect the information regarding various brands of product and new features in technology (e.g. Windows, Mobiles). During the sentiment analysis various classification tools within the NLP are used to find out the positivity and negativity of reviews or comments. The paper presents a length aware hybrid approach to analyses the reviews either as positive or negative and present approach is tested on SuperFetch data set. The present approach is a combination of both supervised machine learning techniques that are Support Vector Machine and K-Nearest Neighbor in which SVM is working great for large size review and KNN is working best for small size review.

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A Lexical Approach for Opinion Mining in Twitter

A Lexical Approach for Opinion Mining in Twitter

Deebha Mumtaz, Bindiya Ahuja

Статья научная

The blossoming of a significant number of social networking sites, blogs, and microblogs has given a podium for general masses to voice their opinion regarding social topics, economic issues, political matters, market trends etc. However, this sudden eruption of review data had opened floodgates to unmanageable records as it is almost impossible for any individual or organization to manually extract any useful information from it. Opinion mining or sentimental analysis is a natural language processing which can obtain the opinion or feeling of people about any particular product or subject. The main focus of this paper is to find a method to perform sentiment analysis of Twitter which is one of the most prevalent microblogging sites. The lexical method proposed in this paper classifies the tweets as positive, negative or neutral depending on the polarity of the words in it. Also, the role of negation words has been investigated.

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A Low Power Consumption Architecture Model for Multiple Processors on Optical Printed Circuit Board

A Low Power Consumption Architecture Model for Multiple Processors on Optical Printed Circuit Board

Xinjiang Shao, Jian Liu, Jiyu Jin, Zhisen Wang, Nianyu Zou

Статья научная

Traditional single-core processors and multiprocessors architectures encounter some problems which are high heat generation, high cost to produce and high power consumption. In this paper, a model to achieve low power consumption by using several processors managed separately with useful energy saving strategies including switching the mode of processors, assign tasks to different CPUs, using optical fiber as transmitting media etc. is proposed. In this way, the architecture manages to disperse the energy dissipation. Some evaluations on power consumption, cost and performance are made which proves that it is an effective method to reduce the power consumption.

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A MDA-based campus data analysis and visualization framework

A MDA-based campus data analysis and visualization framework

Jiangning Xie, Xueqing Li, Lei Wang, Yuzhen Niu

Статья научная

As the rapid development of high education informatization, it will be a new important research topic to con-duct the data mining and visual analytics to the existing data in the separated information systems. The existing campus information system is the integration of some business systems, so the system has some problems, such as it stores the data separately and it has poor ability to analyze data. In order to solve these problems, we pro-pose Model Driven Architecture (MDA) based campus data analysis and visualization framework. The frame-work is composed of multi-dimension data modeling, data extraction, visualization-based data exhibition, and some other modules. Data extraction solves the problem caused by separately stored data and heterogeneous data. Multi-dimension data modeling analysis and visualization enhances the analysis ability of existing system. Based on the idea of MDA modeling analysis, we provide a rapid develop platform of campus business for both business analyzers and developers.

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A Model Driven Framework for Portable Cloud Services: Proof of Concept Implementation

A Model Driven Framework for Portable Cloud Services: Proof of Concept Implementation

Aparna Vijaya, Neelanarayanan V

Статья научная

Rapid development of Cloud Computing and its increasing popularity in recent years has driven many commercial cloud providers in the market. Cloud service providers have a lot of heterogeneity in the resources they use. They have their own servers, different cloud infrastructures and APIs and methods to access the cloud resources. Lack of standards has caused the collaboration and portability of cloud services a very complex task. In this paper we have identified the challenges involved in portability of cloud apps and analyzed the existing techniques for portability at platform level. In this paper, we propose an approach using Model Driven Engineering to develop SaaS applications in a cloud-agnostic way. We introduce DSkyL, an eclipse plugin for cloud application development using feature models and domain model analysis, which would support construction, customization, development and deployment of cloud application components across multiple clouds. It also reduces the application development time drastically. This paper aims to sketch the architecture of DSkyL and the major steps involved in the process.

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A New Color Image Quantization Algorithm Based on Fuzzy Kernel Clustering

A New Color Image Quantization Algorithm Based on Fuzzy Kernel Clustering

MA Yu-jie

Статья научная

A new color image quantization algorithm based on fuzzy kernel clustering is studied in this paper. Firstly, the original image is quantized to 256 colors using the octree algorithm. Secondly, based on the quantitative relation of the NBS distance and the color difference of human vision, the initial clustering centers and number are determined automatically. Thirdly, the clustering center color values are modified by use of the fuzzy kernel clustering algorithm in the Munsell space. And then, a color image quantization effect is achieved. At last, simulations are performed on the presented algorithm, and the simulation result shows that the presented algorithm not only can solve the problem of giving the number of quantization in advance but also has better quantization effect than the octree algorithm and fuzzy c-means algorithm in the same quantization number.

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