Journal of Intelligent & Fuzzy Systems - Volume 32, issue 5

Authors: Lianqiang, Niu | Xin, Chen | Min, Peng | Gang, Zhang

Article Type: Research Article

Abstract: This paper presents an efficient run-based algorithm for labeling connected components in a binary image. By means of two tables called index table and equivalent information table respectively, the algorithm assign labels only to run sets which are composed of a series of runs connected to each other in adjacent scan rows, then the same index in equivalent information table can be assigned to all runs of a set in index table at one time. Further, the algorithm organizes all equivalence information in equivalent information table in a tree structure, and employee the union-find technique to merge connected components rapidly. …The algorithm is very simple, and fewer operations are needed to check and to label runs of a connected branch. Furthermore, it is not necessary to calculate the minimum label while combining two runs, and is able to construct a union-find tree with smaller height. Thus the algorithm is able to provide a high speed to label connected components for general images. Show more

Keywords: Connected components, union-find, labeling algorithm, label equivalent, run length encoding

DOI: 10.3233/JIFS-169306

Citation: Journal of Intelligent & Fuzzy Systems, vol. 32, no. 5, pp. 3739-3748, 2017

Authors: Zhang, Zhenhua | Hu, Yong | Ma, Chao | Xu, Jinhui | Yuan, Shenguo | Chen, Zhao

Article Type: Research Article

Abstract: By analyzing three parts of interval valued intuition fuzzy sets (IVIFS), we provide a novel framework constructing risk function with IVIFS information for risk analysis of outsourced software project. First, we introduced some risk factors of outsourced software project according to their hierarchical levels, and present a general risk function model. And then, some useful mathematical properties of this risk function are proved. Based on the mathematical properties of general risk function, all these presented specific risk functions are classified into four types: incentive function, punitive function, incentive-punitive function and equilibrium function. Especially, two kinds of incentive-punitive risk functions are …focused on and a construction method for them is proposed. Finally, an application example for the risk assessment of outsourced software project illustrates the use of this decision making method. The simulation results show that these functions are effective in risk prediction. Show more

Keywords: Interval valued intuitionistic fuzzy sets, risk assessment, incentive-punitive risk function, equilibrium risk function, outsourced software project

DOI: 10.3233/JIFS-169307

Citation: Journal of Intelligent & Fuzzy Systems, vol. 32, no. 5, pp. 3749-3760, 2017

Authors: Kumar, Tarun | Kushwaha, Dharmender Singh

Article Type: Research Article

Abstract: India has shown rapid economic development and this has forced the country to adopt smart traffic management and surveillance process. The intelligent traffic management and surveillance is the basic need for development of smart cities in India. The Intelligent traffic surveillance includes the detection of moving vehicles, estimation of their speed and extracting its registration number. This paper proposes an efficient and novel approach for the detection of moving vehicles as well as estimation of their speeds for detection of any speed limit violation by using a single camera in daylight or properly illuminated environment. The proposed approach detects and …tracks the vehicle passing through the surveillance area and maintains the record of vehicles position. The Region of Interest (ROI) of the approach is the dark shaded area formed under the vehicles road clearance area instead of the vehicles. The average detection accuracy achieved by proposed approach is 93.32%. This is on an average 7.54% higher than other existing approaches. The proposed approach uses cropping operation to minimize the scope of any false positive detection on both sides of road. The average tracking accuracy of the proposed approach is about 92.2%. The tracking accuracy achieved by the proposed approach is on an average 2.2% higher than the other leading approaches. The average speed estimation error in proposed approach is +2.2 km/h which is lower than other existing leading approaches. The proposed approach is also time and space efficient over the existing approaches. Show more

Keywords: Background subtraction, image filtering, thresholding, contours processing, camera calibration, moving object detection

DOI: 10.3233/JIFS-169308

Citation: Journal of Intelligent & Fuzzy Systems, vol. 32, no. 5, pp. 3761-3773, 2017

Authors: Wang, Bin | Kong, Bin | Ding, Dawen | Wang, Can | Yang, Jing

Article Type: Research Article

Abstract: In this paper, we have proposed a novel traffic sign recognition algorithm based on sparse representation and dictionary learning. In the past period of research and applications of traffic sign recognition, most of the traffic sign recognition algorithms are based on statistical learning, neural networks and template matching algorithm. In these algorithms, they need high-dimensional mapping during classification, resulting in huge amount of calculation. Meanwhile, when the external environment changes, such as illumination, deformation and occlusion, the recognition rate will be further reduced. The proposed sparse representation theory has much better performance to solve the problems of external environment changed …and while we use dictionary learning method to build a traffic sign over-complete redundant dictionary, the experimental results clearly showed that the algorithm we proposed has much better performance than traditional algorithm and also has much higher recognition rates. Show more

Keywords: Compressive sensing, sparse representation, traffic sign recognition, over-complete, dictionary learning

DOI: 10.3233/JIFS-169310

Citation: Journal of Intelligent & Fuzzy Systems, vol. 32, no. 5, pp. 3775-3784, 2017

Authors: Zhou, Guiliang | Liu, Zhiqiang | Shu, Wanneng | Bao, Tianwen | Mao, Lina | Wu, Dingxin | Feng-Qiu,

Article Type: Research Article

Abstract: Smart city relies on the smart transportation. And the smart savings on private car pooling based on internet of vehicles will greatly facilitate the expansion of smart transportation. The paper puts forward the smart savings scheme for private car pooling, establishes the dynamic relationship of human – vehicle – road during carpooling process basing on internet of vehicles. We applied the route recommendation technology, information matching technology, information notification technology, dynamic information searching technology and collaborative route optimization technology to the carpooling system to improve the real-time, accuracy and efficiency of carpooling process in uncertain dynamic demand market and realize …the smart savings on private car pooling. Finally, we take an area of Huai’an as example to verify the feasibility of the program and technologies. The experimental results show that the carpooling program (TCP) increased 40% on the private car seat utilization, saved 30.7% on the total travel cost and 38.4% on total travel time than the other existing carpooling program (TECP). Show more

Keywords: Internet of vehicles, private car pooling, smart savings, carpool program, carpooling technology research

DOI: 10.3233/JIFS-169311

Citation: Journal of Intelligent & Fuzzy Systems, vol. 32, no. 5, pp. 3785-3796, 2017