Articles

Access the latest knowledge in applied science, electrical engineering, computer science and information technology, education, and health.

Advanced Search
Filter Icon

Filters article

Years

FAQ Arrow
Single Year
Range Year
0
0

Source Title

FAQ Arrow

Authors

FAQ Arrow

28,451 Article Results

Assessment of Electric Field Distribution Inside 500/220 kV Open Distribution Substations during Working Conditions

10.11591/ijeecs.v12.i9.pp6471-6478
Sayed A. Ward , Samy M. Ghania , Essam M. Shaalan
The high level electric field intensity produced by high voltage (HV) equipments inside 500/220 kV substations is harmful for the human (staff) health. Therefore the minimum health and safety requirements regarding the exposure of workers to the risk arising from electric fields produced inside these substations is still considered as a competitive topic for utility designers, world health organization (WHO) and biomedical field researchers. It is very important to have knowledge about levels distribution of electric field intensity within these high voltage substations as early stage in the process of substation design. This paper presents results of investigation 50Hz electric field intensity distribution inside 500/220 kV power transmission substations in Cairo, Egypt. This paper presents a method for assessment the distribution of 50HZ electric field intensity distribution inside this substation, this method of analysis is based on the charge simulation technique (CSM). This study will serve for planning service works or for inspection of equipment on HV power transmission substations.
Volume: 12
Issue: 9
Page: 6471-6478
Publish at: 2014-09-01

Nutritional Intakes of Obese Elementary School Children Residing in the Shimokita Peninsula of Aomori, Japan

10.11591/ijphs.v3i3.4693
Takako Kumagai , Yumiko Nakamura , Emi Naijo , Akiko Sugimoto , Barry Kavanagh , Haruyuki Ito
This research examined the lifestyles and eating habits of 42 elementary school fifth graders(20 boys and 22 girls) over a 3-day period; these children resided in theShimokita Peninsula, Aomori prefecture, which has the highest childhood obesityrate in Japan. The children’s nutritionalintakes were recorded via questionnaires and self-documented meal recorddiaries overa 3-day period (1 weekday and the weekend). The meal record diaries recorded which meals the children ate (including snacks) during the 3-day period. A regular feature of these children’s lifestyle was theviewing of at least 3 hours of television per day. Compared with the National Health and Nutrition Survey conductedby the Japanese government, the nutritionaland energy intake levels were the same but when we examined food group intakes,the vegetable intake was lower on weekends in comparison to the weekdays whenthe children were provided school lunches. In addition, salt intake exceededthe recommended standard in more than 80% of the study sample. We suggest thatthe pattern of reduced vegetable intake juxtaposed with high salt intake stemsfrom childhood and is repeated and passed down through generations; therefore, theguardians of these children require nutritional guidance and education.
Volume: 3
Issue: 3
Page: 195-205
Publish at: 2014-09-01

Fault diagnosis of Electric Power Grid Based on Improved RBF Neural Network

10.11591/ijeecs.v12.i9.pp6732-6741
Luo Yi-Ping , Shen Ling , Cao Yi-Jia
This paper introduces a novel clustering algorithm that combines crisp and fuzzy clustering. It not only has the high accuracy of fuzzy clustering, but also reduces the dependency on initialization. Specifically, it constitutes a fast learning process and therefore, the convergence rate and the accuracy of the RBFNN are greatly improved. The simulation results show that this strategy is successfully applied to the fault diagnosis of electric power grid. The training speed and the fault-tolerance of information aberrance, which comes from the maloperation of the protections and breakers, are superior to the traditional RBFNN.
Volume: 12
Issue: 9
Page: 6732-6741
Publish at: 2014-09-01

Finite-Time Stabilization of Networked Control Systems with Packet Dropout

10.11591/ijeecs.v12.i9.pp6750-6757
Yanling Shang , Ye Yuan
The problem of finite-time stabilization for networked control systems with both sensor-to-controller and controller-to-actuator packet dropouts is investigated in this paper.By using the iterative approach,  the NCSs with bounded packet dropout is modeled as switched linear systems. Sufficient conditions for finite-time stabilization of the underlying systems are derived via linear matrix inequalities (LMIs). Lastly, an illustrative example is given to demonstrate the effectiveness of the proposed results.
Volume: 12
Issue: 9
Page: 6750-6757
Publish at: 2014-09-01

Research on Attitude Measurement for Ballistic Correction Rocket

10.11591/ijeecs.v12.i9.pp6454-6460
Liang Zhi-jian , Ma Tie-hua
Ballistic correction rocket is a kind of smart ammunition which can attach aims exactly. Based on domestic and foreign literature, the technology of flight attitude measurement technology was summarized. The process of the research includes independently inertial measurement unit and inertial navigation system. The previous stage is the measurement technology only depend on a navigation equipment, such as accelerometer, Gyro or electromagnetic sensors etc, the latter means combinations of several measurement units, on the basis of complementary advantages in performance to improve computing accuracy each other. Based on the measurement technology was analyzed and compared, configuration, merit and demerits of multi accelerometer were discussed in detail. The paper prospected the future development of this technology finally.
Volume: 12
Issue: 9
Page: 6454-6460
Publish at: 2014-09-01

Design of Array MEMS Vector Vibration Sensor in the Location of Pipeline Inspection Gauge

10.11591/ijeecs.v12.i9.pp6651-6657
Mengran Liu , Guojun Zhang , Zeming Jian , Hong Liu , Xiaopeng Song , Wendong Zhang
In view of the pipeline marking difficult and poor measurement precision, a new-type monolithic integrated array MEMS vector vibration sensor has been put forward. It has overcomed the deficiency that present vector acoustic sensor applied in the oil and gas pipeline inspection gauge can not be accurate about signal position, and eliminated the port/starboard blur problem. Through ANSYS simulation analysis, it conclude that the array vector vibration sensor has the sensitivity of 2.05mv/pa (-173.8dB,0dB=1v/μpa). The first-order modal is 438 Hz, and the third-order modal is 452 Hz. The resonance frequency of the two sensitive components is respectively 452 Hz and 438 Hz. At the end of this paper , the algorithm that can be used to estimate the azimuth angle detected by the sensor , is given.
Volume: 12
Issue: 9
Page: 6651-6657
Publish at: 2014-09-01

Cliques-based Data Smoothing Approach for Solving Data Sparsity in Collaborative Filtering

10.11591/ijeecs.v12.i8.pp6324-6331
Yujie Yang , zhijun Zhang , Xintao Duan
Collaborative filtering (CF), as a personalized recommending technology, has been widely used in e-commerce and other many personalized recommender areas. However, it suffers from some problems, such as cold start problem, data sparsity and scalability, which reduce the recommendation accuracy and user experience. This paper aims to solve the data sparsity in CF. In the paper, cliques-based data smoothing approach is proposed to alleviate the data sparsity problem. First, users and items are divided into many cliques according to social network analysis (SNA) theory. Then, data smoothing proceeding is carried out to fill the missing ratings in user-item rating matrix based on the user and item cliques. Finally, the traditional user-based nearest neighbor recommendation algorithm is used to recommend items for users. The experiments show that the proposed approach can effectively improve the accuracy and performance on sparse data.
Volume: 12
Issue: 8
Page: 6324-6331
Publish at: 2014-08-01

QR-based Channel Estimation for Orthogonal Frequency Division Multiplexing Systems

10.11591/ijeecs.v12.i8.pp6217-6223
Peilong Jiang , Honggui Deng , Bin Lei
Channel estimation is the key technology for Orthogonal Frequency Division Multiplexing (OFDM),  which has direct impact on the performance of OFDM. In this paper, we present a novel QR-based algorithm to update the channel impulse response(CIR) for DFT-based channel estimation. The discrete Fourier transform(DFT) estimation reduces the noise power that exists outside of the CIR part, because the estimated CIR from LS has most of its power concentrated on the first L samples. To reduce the noise power that exists inside of the first L samples, the CIR is further processed by QR decomposition in proposed algorithm. The simulation results show that the bit-error-rate(BER) of our estimator has reduced significantly compared with the conventional DFT-based channel estimator and LS-linear estimation.
Volume: 12
Issue: 8
Page: 6217-6223
Publish at: 2014-08-01

A Brief Analysis into E-commence Website Mode of the Domestic Luxury

10.11591/ijeecs.v12.i8.pp6417-6422
Lu Lian
with the current prosperity of the luxury market, this paper focuses on e-commence market situation of China’s luxury, disintegrates all the parts during the process of the luxury’s e-commence online shopping, analyzes the three targets and three links of the current e-commence websites at the material level and finds out its appearing relevant problems. This paper also delves deeper and puts forward the online shopping mode at the spiritual level in order to bring some benefit to Chinese e-commence businesses.
Volume: 12
Issue: 8
Page: 6417-6422
Publish at: 2014-08-01

Strategies for FPGA Implementation of Non-Restoring Square Root Algorithm

https://ijece.iaescore.com/index.php/IJECE/article/view/5528
Tole Sutikno , Aiman Zakwan Jidin , Auzani Jidin , Nik Rumzi Nik Idris
This paper presents three strategies to implement non restoring square root algorithm based on FPGA. A new basic building block is called controlled subtract-multiplex (CSM) is introduced in first strategy which use gate level abstraction. The main principle of the method is similar with conventional non-restoring algorithm, but it only uses subtract operation and append 01, while add operation and append 11 is not used. Second strategy presents the first strategy in register transfer level (RTL) abstraction. In third strategy, a modification for the implementation of conventional non-restoring algorithm is presented which also use RTL abstraction. The all above strategies is implemented in VHDL programming and adopt fully pipelined architecture. The strategies have conducted to implement successfully in FPGA hardware, and each of the strategies is offer an efficient in hardware resource. In generally, the third strategy is superior.DOI:http://dx.doi.org/10.11591/ijece.v4i4.6008
Volume: 4
Issue: 4
Page: 548-556
Publish at: 2014-08-01

Assembly Sequence Planning for Products with Enclosed Shell

10.11591/ijeecs.v12.i8.pp6403-6410
Yan Song , Juan Song , Zhihong Cheng
Aiming at the special structure of products with enclosed shell, the limitations of the usual methods are analyzed and concepts of axial subassembly and radial subassembly are proposed, the subassemblies are identified base on the adjacent matrix and interference matrix. A new kind of assembly relation matrix with the subassembly information is proposed to express the assembly model，the assembly transition probability in the ant colony algorithm is modified based on the assembly relation matrix and assembly precedence relations. The assembly sequence of products with enclosed shell can be planned rapidly with the algorithm aforementioned. Finally, the effectiveness was verified by an example.
Volume: 12
Issue: 8
Page: 6403-6410
Publish at: 2014-08-01

Research on Electrical Energy Consumption Efficiency Based on GM-DEA

10.11591/ijeecs.v12.i8.pp5801-5806
Mei Liu
In today's environment which emphasis on energy efficiency, predicting the trend of electrical energy consumption efficiency, and researching the efficient operation model of power industry has practical significance. By establishing GM-DEA method system, we use GM model to predict four inputs and output indicators in 2011 and 2012 in Beijing first, and then use DEA to give predicting years a reasonable analysis for the efficiency of energy consumption. The result shows that efficiency of electrical energy consumption in Beijing is gradually increasing, GM-DEA model can analyze the trend of the efficiency effectively in advance, and it provides a scientific basis for the rapid development of power industry.
Volume: 12
Issue: 8
Page: 5801-5806
Publish at: 2014-08-01

Determination of Volume of Capacitor Bank for Static VAR Compensator

https://ijece.iaescore.com/index.php/IJECE/article/view/5518
Md. Ruhul Amin , Rajib Baran Roy
In high voltage AC system, the system voltage and frequency change rapidly with the variation of load. The reactive power also changes with the variation of load which affects the system voltage therefore it is necessary to analyze the power system in order to determine system parameters and its variation under various load conditions. The capacitor bank size is determined by calculating existing reactive power and required reactive power in system for Static VAR Compensator (SVC) is focused in this paper. Base case load flow is used to analysis power system. After identifying low voltage buses, arbitrary caciptor back is imposed in bueses and results are checked whether it is met or not in the system demand level. Here MATLAB coding is used to find the low voltage affected bus and automated calculation of capacitor back size is done by MATLAB also. The proposed method of identification of low voltage buses and determination of capacitor bank are faster and easier than the conventional method.DOI:http://dx.doi.org/10.11591/ijece.v4i4.5803
Volume: 4
Issue: 4
Page: 512-519
Publish at: 2014-08-01

Time-Weighted Uncertain Nearest Neighbor Collaborative Filtering Algorithm

10.11591/ijeecs.v12.i8.pp6393-6402
Zhigao Zheng , Jing Liu , Ping Wang , Shengli Sun
To overcome the limitations of the traditional collaborative filtering recommendation algorithm, this paper proposed a Time-Weighted Uncertain Nearest Neighbor Collaborative Filtering Algorithm (TWUNCF). According to the actual application situation of recommendation system, the author weighted the product similarity and user similarity to ensure the data validity firstly, and then calculate the similarities of user and product and choose the trusted neighbor group as the recommended object adaptively based on the weight. Experimental results show that the algorithm can be used to improve data validity according to the time attribute, and balance the impact the different groups on the recommendation result, and avoid the problems which caused by the data sparseness. Theoretical analysis and experimental demonstrations show that the algorithm this paper proposed outperforms existing algorithms in recommendation quality, and improve the system's accuracy and recommendation efficiency.
Volume: 12
Issue: 8
Page: 6393-6402
Publish at: 2014-08-01

A Novel Retinal Blood Vessel Segmentation Algorithm using Fuzzy segmentation

https://ijece.iaescore.com/index.php/IJECE/article/view/5534
Razieh Akhavan , Karim Faez
Assessment of blood vessels in retinal images is an important factor for many medical disorders. The changes in the retinal vessels due to the pathologies can be easily identified by segmenting the retinal vessels. Segmentation of retinal vessels is done to identify the early diagnosis of the disease like glaucoma, diabetic retinopathy, macular degeneration, hypertensive retinopathy and arteriosclerosis. In this paper, we propose an automatic blood vessel segmentation method. The proposed algorithm starts with the extraction of blood vessel centerline pixels. The final segmentation is obtained using an iterative region growing method that merges the binary images resulting from centerline detection part with the image resulting from fuzzy vessel segmentation part. In this proposed algorithm, the blood vessel is enhanced using modified morphological operations and the salt and pepper noises are removed from retinal images using Adaptive Fuzzy Switching Median filter. This method is applied on two publicly available databases, the DRIVE and the STARE and the experimental results obtained by using green channel images have been presented and compared with recently published methods. The results demonstrate that our algorithm is very effective method to detect retinal blood vessels.DOI:http://dx.doi.org/10.11591/ijece.v4i4.6253
Volume: 4
Issue: 4
Page: 561-572
Publish at: 2014-08-01
1 2 3
...
1896 1897
Show 1683 of 1897

Discover Our Library

Embark on a journey through our expansive collection of articles and let curiosity lead your path to innovation.

Explore Now
Library 3D Ilustration