{"title":"Computer anomaly detection based on the moving averages of the power series distributed random sequence","authors":"Deqiang Chen","doi":"10.1109/FSKD.2014.6980852","DOIUrl":"https://doi.org/10.1109/FSKD.2014.6980852","url":null,"abstract":"In order to quickly determine the distribution of anomaly detection model based on small amounts of collected data, the moving relative entropy density deviation method (MREDD) is introduced to test the power series distributed random sequence. Through the moving averages of data analysis and comparison, the anomaly detection models can quickly be established. Experimental results show that this method can be used not only to adaptively choose from the negative binomial model, the binomial distribution model and the Poisson distribution model, but also to reduce the false alarm rate.","PeriodicalId":397095,"journal":{"name":"2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124270922","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Neural network-based reranking model for statistical machine translation","authors":"Haipeng Sun, T. Zhao","doi":"10.1109/FSKD.2014.6980878","DOIUrl":"https://doi.org/10.1109/FSKD.2014.6980878","url":null,"abstract":"The non-local feature always plays an important role in improving performance of SMT. Nonlinear neural network model can take better advantage of non-local features to improve the performance of translation through the introduction of the hidden layer. So this paper will build reranking models based on neural network to make use of non-local features to improve the translation performance. In this paper, we will introduce two models: Reranker-WC and Reranker-D. Compared with performance of the baseline system, the performance of Reranker-WC can be promoted to about 1.4 BLEU score. Moreover, we find that different hyper-parameter λ will also affect the quality of SMT output at the same time. We achieve the best performance while λ is 40.","PeriodicalId":397095,"journal":{"name":"2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121489575","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ming-Zong Wu, M. Jing, Chong-Dao Lee, Yaotsu Chang
{"title":"Improved decoding of binary Golay code","authors":"Ming-Zong Wu, M. Jing, Chong-Dao Lee, Yaotsu Chang","doi":"10.1109/FSKD.2014.6980949","DOIUrl":"https://doi.org/10.1109/FSKD.2014.6980949","url":null,"abstract":"The triple-error-correcting binary Golay code has been used in DNA and communication systems. Recently, an algebraic decoding of the Golay code has been proposed by an unusual general error locator polynomials (GELP). This paper utilizes the interpolation method to obtain a new unusual GELP. Simulation results show that the Golay decoder using the presented unusual GELP significantly reduces the area and latency compared to the existing Golay decoders.","PeriodicalId":397095,"journal":{"name":"2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121640509","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The contrast experiment on visual attention regions and saliency maps based on the eye tracker","authors":"Yujie Zheng, X. Lan, Junling Li, Fang Meng","doi":"10.1109/FSKD.2014.6980945","DOIUrl":"https://doi.org/10.1109/FSKD.2014.6980945","url":null,"abstract":"In this paper, an experimental system is realized to record and analyze the visual attention regions of images based on an eye tracker. Then eye-movement events of observers during an image observation such as fixations are captured by an eye tracker in the experiment. Furthermore, the relationships between visual attention regions and saliency maps of the test images are analyzed by calculating the saliency rate of fixations. Experimental results show a high consistency of visual attention regions and saliency regions defined by saliency maps.","PeriodicalId":397095,"journal":{"name":"2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123568045","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Single image haze removal using dark channel prior and fields of experts model","authors":"Pucheng Zhou, Yuan Zhou","doi":"10.1109/FSKD.2014.6980943","DOIUrl":"https://doi.org/10.1109/FSKD.2014.6980943","url":null,"abstract":"The quality of images taken outsides will be impaired severely in bad weather conditions, such as haze, mist, fog or rain. In this paper, to improve the visibility with only single hazy image, a kind of haze removal algorithm is proposed. Firstly, the raw atmospheric transmission map is estimated by use of the dark channel prior. And then, Fields of Experts model is adopted to amend the raw atmosphere transmission map. Finally, the scene albedo is restored based on the atmosphere scattering model. Experiments on a variety of outdoor hazy images verify the feasibility and validity of our algorithm.","PeriodicalId":397095,"journal":{"name":"2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131884806","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The vehicle routing problem for the coal mine dangerous materials distribution","authors":"Bingyi Li, Hong Zhang, Jinling Li","doi":"10.1109/FSKD.2014.6980808","DOIUrl":"https://doi.org/10.1109/FSKD.2014.6980808","url":null,"abstract":"Coal mine materials delivery process has the following characteristics: (1) Depot and warehouse are located in different places; (2) Dangerous materials include explosives and detonators which cannot be mixed together for delivery; (3) There is no desired time window, but urgency for demand. Our objective aims at minimizing the distribution cost. For dangerous materials delivery process, we build a multi-tour, single-depot and multi-warehouse model. Then, we employ the genetic algorithm for solving the above model. Finally, we apply the model and the proposed algorithm to the materials distribution problem of Zhengzhou Coal Mine and Power Supply Co., Ltd. located in China. The computational results indicate that the genetic algorithm performs better than the practical distribution situation.","PeriodicalId":397095,"journal":{"name":"2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124609469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Fereidoon Rezaei, Masoud Khalil Nezhad, Saeid Rezaei, A. Payandeh
{"title":"Detecting encrypted metamorphic viruses by hidden Markov Models","authors":"Fereidoon Rezaei, Masoud Khalil Nezhad, Saeid Rezaei, A. Payandeh","doi":"10.1109/FSKD.2014.6980971","DOIUrl":"https://doi.org/10.1109/FSKD.2014.6980971","url":null,"abstract":"Virus writers make their viruses undetectable by using obfuscation methods, which ends in metamorphic viruses. We propose a method named detection circle which is based on the hidden Markov Model theory. We have used three elements to characterize a family of viruses: string occurrence probability, specifically-located character occurrence probability, and the amount of virus similarities. For the evaluation, we have created viruses and tested them by our method and four anti-virus software packages. The experimental results show that our detection rate was much higher in the first stage without obfuscation. Then we have encrypted the detected viruses and tested the proposed algorithm again. At this stage none of the four anti-viruses software packages detected viruses while our method found 70% of them.","PeriodicalId":397095,"journal":{"name":"2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122258529","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Ontology based goal and task allocation for autonomous agents","authors":"Maryam Nazar, Sarmad Sadik","doi":"10.1109/FSKD.2014.6980963","DOIUrl":"https://doi.org/10.1109/FSKD.2014.6980963","url":null,"abstract":"Effective operations of law enforcement agencies require timely decisions to perform tasks to counter the effect of terrorism. By employing teamwork coordination among software agents, system effectiveness is enhanced to make task and goal allocation in the best possible way. To make agents understand the semantics and achieve shared mental model of capabilities, we have employed ontology to formally describe the concepts of domain and perform semantic matchmaking using reasoning capabilities of ontology. The proposed framework utilizes ontology, fuzzy based decision making and utility metrics of capability, distance and priority to make efficient task and goal allocation among autonomous agents in a distributed environment.","PeriodicalId":397095,"journal":{"name":"2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127051233","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Covering-based rough sets on covering-circuit matroids","authors":"Bin Yang, William Zhu","doi":"10.1109/FSKD.2014.6980805","DOIUrl":"https://doi.org/10.1109/FSKD.2014.6980805","url":null,"abstract":"Rough set theory has been proposed by Pawlak as a useful and powerful tool for dealing with uncertainty, granularity, and incompleteness of knowledge in information systems. Matroid theory is a branch of combinatorial mathematics and widely used in optimization. Therefore, it is a good idea to integrate rough sets with matroids. In this paper, four types of covering approximation operators and their relationships are studied from the viewpoint of matroids. First, we define a new type of matroids named covering-circuit matroids whose all circuits form a covering. Second, for a covering-circuit matroid, we study the properties of the circuits of it from the perspective of coverings. Third, four types of covering approximation operators are represented by the circuits of the covering-circuit matroids. Moreover, we also investigate the relationships among four covering upper approximation operators. Finally, the conditions under which every type of covering upper approximation operator is the closure operator of the matroid are revealed. These results show many potential connections between covering-based rough sets and matroids.","PeriodicalId":397095,"journal":{"name":"2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","volume":"48 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132974309","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Auto-tuning method of fuzzy PID controller parameter based on self-learning system","authors":"Zhang Yang, Lei Li, Buqing Liu","doi":"10.1109/FSKD.2014.6980836","DOIUrl":"https://doi.org/10.1109/FSKD.2014.6980836","url":null,"abstract":"In order to overcome the puzzle of optimal status being difficult to adjust after once setting PID parameters, the paper proposed a sort of auto-tuning method of fuzzy-PID parameters based on self-learning system. Combined fuzzy logic control with classical PID control, it conducted the fuzzy on-line auto-tuning of PID parameter, and after that, the parameters of adjusted system were switched to the natural work status. Once the change of system performance occurred, and it went beyond the specified range, the system could automatically start the parameters tuning process of PID. The simulation demonstrated that the retuned parameters could obtain better control effect than before. The simulation shows that it is higher in control accuracy, stronger in robustness, and the system performance is greatly enhanced.","PeriodicalId":397095,"journal":{"name":"2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134545626","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}