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Fast Image Embedded Chinese Text Extracting by Homogeneous Space Mapping
Li Ying,
Liu Lisha,
Cui Yan-peng,
Zhuang Huaiyu
Issue:
Volume 5, Issue 3, June 2017
Pages:
86-91
Received:
14 May 2017
Published:
16 May 2017
Abstract: Text-embedded images are popular in the mobile Internet to spread malicious information. A fast text-embedded image Chinese text extracting algorithm based on homogeneous space mapping is proposed. Image enhancement functions are used to highlight edge and texture features of images. Sobel operator is used to extract the edge feature and wavelet packet is used to extract the 24-dimensional texture feature vectors in the enhanced images. The texture features and edge features are used to describe the homogeneity of an image, which construct the homogeneous feature map of the image. The differences between the non-text and the text region homogeneity are used to distinguish them and reduce non-text region further. Thus the text regions are highlighted. Then, homogeneous text samples are used to train the text region detector, which greatly reduces the computational complexity. Finally, the characters are segmented and recognized. Some experiments to verify the validity and practicability of the proposed algorithm have been conducted. The recognition rate achieves 86%, which is higher than that of other methods in industry. The algorithm is verified on the operator's malicious information monitoring system, which provides secure malicious filtering performance.
Abstract: Text-embedded images are popular in the mobile Internet to spread malicious information. A fast text-embedded image Chinese text extracting algorithm based on homogeneous space mapping is proposed. Image enhancement functions are used to highlight edge and texture features of images. Sobel operator is used to extract the edge feature and wavelet pa...
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Value Evaluation Research of Node Enterprise in the Energy Service Industry Value Network
Jun Dong,
Xu Li,
Dongran Liu,
Xu Sun
Issue:
Volume 5, Issue 3, June 2017
Pages:
92-97
Received:
13 April 2017
Accepted:
21 April 2017
Published:
7 June 2017
Abstract: Energy service industry is an emerging industry which involves multi-subject, multi-product, multi-technology and multi-value, and is a complicated network system. The node enterprises in the system are connected with each other and the value added with the transmission which contributes to the value network. Value network is a new effective organization and management form of serving product supply chain, and it can increase the value of the serving products. In the value network of the energy service industry, the evaluation of the node enterprises’ value creation is helpful for the enterprises to make strategic decision and helps the enterprises to create more value. In this paper, we take the energy service companies as the main research object and establish the index system of value evaluation. Besides, the fuzzy comprehensive evaluation method is used to evaluate the relevant factors, and the feasibility and effectiveness of the evaluation system are verified by examples.
Abstract: Energy service industry is an emerging industry which involves multi-subject, multi-product, multi-technology and multi-value, and is a complicated network system. The node enterprises in the system are connected with each other and the value added with the transmission which contributes to the value network. Value network is a new effective organi...
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Aluminum Nano-polycrystalline Substance with Ferromagnetics and Application to High-Frequency Core Inductor
Mitsuru Inada,
Yukio Iida,
Taku Saiki,
Shinichirou Masuda
Issue:
Volume 5, Issue 3, June 2017
Pages:
98-103
Received:
11 April 2017
Accepted:
22 April 2017
Published:
21 June 2017
Abstract: It has showed in experiments that aluminum nano-polycrystalline substances are ferromagnetic. A magnetic hysteresis curve measured by SQUID suggested the ferromagnetism. Al bulk is normally thought to be non-magnetic body. Authors also fabricated core inductors using Al nano-polycrystalline substances and measured the inductances of cored inductors with frequency dependence. Al nano-polycrystalline substance was fabricated by sintering Al nanopaste with Al nanoparticles. Al nanoparticles were prepared by using laser ablation in liquid. The structures and components of the sintered Al nano-polycrystalline substances were analyzed by SEM and EDX. It has been shown that inductor using Al nano-polycrystalline substance with low volume resistivity, which is the same order of metal, works at low frequencies below 500 Hz, while inductor using substance with high volume resistivity works at high frequency of 5 MHz. Our analysis of Al nano-polycrystalline substance with high volume resistivity revealed relative permittivity of 7 at frequency of 1 MHz. It has been expected that these inductors to work at frequency of a few GHz because the magnetic resonance frequency of the Al nano-polycrystalline substances were evaluated to be 5.6 GHz and the high volume resistivity results in suppressing the eddy currents.
Abstract: It has showed in experiments that aluminum nano-polycrystalline substances are ferromagnetic. A magnetic hysteresis curve measured by SQUID suggested the ferromagnetism. Al bulk is normally thought to be non-magnetic body. Authors also fabricated core inductors using Al nano-polycrystalline substances and measured the inductances of cored inductors...
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Optimal Location and Sizing of Distributed Generation for Minimizing Power Loss Using Simulated Annealing Algorithm
Issue:
Volume 5, Issue 3, June 2017
Pages:
104-110
Received:
15 May 2017
Accepted:
23 May 2017
Published:
21 June 2017
Abstract: Distributed Generation integration in electric power system is one of the options which give many benefits such that loss Reduction, peak saving, voltage profile improvement, stability and reliability improvement. The installation of DG units at non-optimal location can result in an increase in system losses, damaging voltage state. In this paper, simulated annealing Algorithm (SAA) techniqueis designed for optimally determining the location, sizing and numbers of distributed generations depending on power loss reduction and voltage profile improvement. The proposed technique is tested on IEEE 57- bus system to demonstrate the performance of the network after inserting the distributed generation in selected optimal location with optimal sizing. Results show the efficiency of the proposed algorithm in reducing power losses, improving voltage profile.
Abstract: Distributed Generation integration in electric power system is one of the options which give many benefits such that loss Reduction, peak saving, voltage profile improvement, stability and reliability improvement. The installation of DG units at non-optimal location can result in an increase in system losses, damaging voltage state. In this paper, ...
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