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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Wan-Jun Yu Da-You Liu Ni-Ya Li Quan Liu College of Computer Science & Technology JiLin University Changchun China Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education Changchun China

ISBN: (纸本)0780384032

PDM is an important technology of CIMS. The lifecycle management of PDM means that it is a process in which a product grows from conceptual generation, outline design to manufacture, maintenance, ultimately to be discarded as useless. This work introduces the background of PDM and the idea of PLM briefly; describes the hierarchy of the PDM; puts forward the architecture of PLM, the model of built-time and run-tune and the lifecycle service of state transition; finally, gives an example of PLM is given.

关键词： Project management Technology management educational technology Computer integrated manufacturing Product design Pulse width modulation educational institutions Computer science Laboratories knowledge engineering

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A lifecycle-based parallel model of workflow management

A lifecycle-based parallel model of workflow management

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Wan-Jun Yu Da-You Liu Bo Yang Quan Liu College of Computer Science & Technology JiLin University Changchun China Key Laboratory of Symbolic Computation & Knowledge Engineering Ministry of Education Changchun China

ISBN: (纸本)0780384032

Workflow management systems (WFMSs) are used to coordinate and streamline business processes. Very large process instances are often running for a long period and the feedback iteration occurs frequently, thus the system is inefficient. To overcome such problems, we studied the issues that process modeling parallelly based on product lifecycle management and proposed a parallel model (LBPYYM: lifecycle-based parallel workflow model). First, the parallel process can be created with the model within a product lifecycle. Meanwhile, the complexity of process definition is reduced also by the parallel model. Second, the adhoc access control policies can be created in each phase of lifecycle to satisfy the access control requirement of the least privilege. Finally, two algorithms, which consist of 2-level role parse algorithm and 3-level role parse algorithm, are introduced. Through these two algorithms the workflow activities' participant can be defined very easily and flexibly.

关键词： engineering management Access control knowledge management Technology management educational institutions Computer science educational technology Laboratories knowledge engineering Computer science education

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A hybrid constraint propagation mechanism for resource-constrained scheduling

A hybrid constraint propagation mechanism for resource-const...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Ju-Yang Zhang Ji-Gui Sun College of Computer Science & Technology Jilin University Changchun China Key Laboratory for Symbolic Computation and Knowledge Engineering Ministry of Education Changchun China

ISBN: (纸本)0780384032

Handling resource constraints in resource-constrained scheduling is always a NP-hard problem. In the beginning of this paper, the overview of the approaches to managing resource constraints and the deficiency of them are shown. Then a hybrid mechanism based on CBA rules and resource energy forward checking is proposed. By applying this mechanism, the generality and the efficiency of our system are heightened.

关键词： Job shop scheduling Resource management Processor scheduling Programming profession Sun educational institutions Computer science educational technology Laboratories knowledge engineering

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Feature selection and text classification for Chinese Web documents

Feature selection and text classification for Chinese Web do...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Jian-Chao Xu Da-You Liu Ming Hu Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China School of Computer Science & Engineering Changchun University of Science and Technology Changchun China

ISBN: (纸本)0780384032

A great deal of methods for feature selection and text classification have been widely applied to English Web documents, while few studies have been done on Chinese Web documents. This paper gives a term weighting method based on inverse document frequency, HTML tags and length of Chinese phrase, reports our method to select Web text feature based on the messy genetic algorithm, provides an algorithm for Web text classification based on improvement on lattice machine approach. Our experiments show that these methods are valuable.

关键词： Text categorization Web pages Frequency knowledge engineering Genetic algorithms Lattices HTML Computer science educational technology Laboratories

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Mathematical properties of four wavelet filters and their performance in embedded image coders

Mathematical properties of four wavelet filters and their pe...

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International Conference on Signal Processing Proceedings (ICSP)

作者： Guo Hongxing Su Lei Yu Shengsheng Zhou Jingli Department of Computer Science and Engineering Key Laboratory of Data Storage System of Ministry of Education Huazhong University of Science and Technology Wuhan Hubei China

This paper analyses the mathematical properties of four famous wavelets and evaluates their coding performance for different kinds of images in EZW image coders. It can be found that although the 9/7 biorthogonal wavelets, which obtain better tradeoff among incompatible mathematical properties, give the best performance. But it still can't code edges and textures efficiently due to existing ringing and smearing artifacts at low bit rates. The harmonic decomposition must follow the uncertainty principle that prevents any atom perfectly, which is well localized in the space domain to retain frequency localization. It gives an opportunity to develop new paradigms to efficiently representing and coding structures very well localized in the space domain, but with large frequency band such as edges and textures.

关键词： Wavelet analysis Low pass filters Image coding Filter bank Image analysis Frequency Computer science data storage systems Computer science education Bit rate

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A modified particle swarm optimization for combining forecasting

A modified particle swarm optimization for combining forecas...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： X.Y. Feng L.M. Wan Y.C. Liang Y.F. Sun H.P. Lee Y. Wang Kollege of Computer Science and Technology Key Laboratory for Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China College of Computer Science and Technology Key Laboratory for Symbolic Computation and Knowledge Engineering of Ministry of Education Changchun China The 8th Research Institute of Air Force Beijing China Institute of High Performance Computing Singapore Singapore

A modified particle swarm optimization (PSO) algorithm is proposed. Linear constraints in the PSO are added to satisfy the normalization conditions for different problems. A hybrid algorithm based on the modified PSO and combining forecasting is presented. Combining forecasting can improve the forecasting accuracy through combining different forecasting methods. The effectiveness of the algorithm is demonstrated through the prediction on the sunspots and the stocks data. Simulated results show that the hybrid algorithm can improve the forecasting accuracy to a great extent.

关键词： Particle swarm optimization Computational modeling Computer science educational technology Laboratories Military computing knowledge engineering Computer science education High performance computing Predictive models

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Searching for closed itemset with formal concept analysis

Searching for closed itemset with formal concept analysis

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Hong Qi Da-You Liu Cheng-Quan Hu Ming Lu Liang Zhao Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China Jilin University Changchun Jilin CN Coll. of Comput. Sci. & Technol. Jilin Univ. Changchun China College of Computer Science and Technology Jilin University Changchun China

ISBN: (纸本)0780384032

The problem of mining frequent patterns plays an essential role in many important data mining tasks. However, it often generates a very large number of frequent itemsets. The set of frequent closed itemsets uniquely determines the exact frequency of all itemsets, yet it can be orders of magnitude smaller than the set of all frequent itemsets. An algorithm Closearcher based on formal concept analysis for closed itemset searching is proposed. This algorithm divides the whole search space of closed itemsets into several subspaces in accordance with criterions prescribed ahead, and introduces an efficient scheme to recognize the valid ones, in which the search for closed itemsets is bounded. An intermediate structure is employed to judge the validity of a subspace and search closed itemsets more efficiently. The algorithm is experimental evaluated and compared with the famous NextClosure algorithm proposed by Ganter for random generated data, as well as for real application data. The results show that our algorithm performs much better than the later.

关键词： Itemsets data mining Machine learning algorithms Pattern analysis Frequency Algorithm design and analysis databases educational institutions Computer science educational technology

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Spatio-temporal representation for multi-dimensional occlusion relation

Spatio-temporal representation for multi-dimensional occlusi...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Sheng-Sheng Wang Da-You Liu Xiao-Dong Liu Bo Yang College of Computer Science and Technology Key Laboratory of Symbolic Computing and Knowledge Engineering of Ministry of Education Jilin University Changchun China

ISBN: (纸本)0780378652

Occlusion relation is the topological relation between the images of two bodies from a viewpoint. Qualitative representation of occlusion relation has been investigated in qualitative spatial reasoning. This research is important for computer vision and robot navigation. The previous models such as LOS and ROC-20 are all based on RCC (the famous topological theory). But those models couldn't support abstract objects such as point and line which are very common in real applications. To deal with this, multi-dimensional spatial occlusion relation (MSO) is put forward. The foundation of MSO is MRCC which is the multi-dimensional extension of RCC. So MSO is suitable for both real and abstract objects. The conception neighborhood and composition of MSO is given. Finally MSO is extended to spatio-temporal relation by adding time feature. MSO is an appropriate frame to express spatio-temporal knowledge.

关键词： Computer vision Navigation Topology educational institutions Computer science Laboratories knowledge engineering Computer science education Robot vision systems Application software

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Probabilistic Graph Pattern Matching via Tumor knowledge Graph

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ACM Transactions on Probabilistic Machine Learning 1000年

作者： Lei Li Houdie Tu Zhenchao Tao Chenyang Bu Xindong Wu Key Laboratory of Knowledge Engineering with Big Data (the Ministry of Education of China) Hefei University of Technology Hefei 230601 China and School of Computer Science and Information Engineering Hefei University of Technology Hefei 230601 China School of Computer Science and Information Engineering Hefei University of Technology Hefei 230601 China School of Data Science University of Science and Technology of China Hefei 230052 China and West District of the First Affiliated Hospital of University of Science and Technology of China Hefei 230031 China Key Laboratory of Knowledge Engineering with Big Data (the Ministry of Education of China) Hefei University of Technology Hefei 230601 China

Graph Pattern Matching (GPM) entails the identification of subgraphs within a larger graph structure that either precisely mirror or closely parallel a predefined pattern graph. Despite the fact that research on GPM in large-scale graph data has been largely centered on social network analysis or enhancing the precision and efficiency of matching algorithms for expeditious subgraph retrieval, there is a noticeable absence of studies committed to probing GPM in medical domains. To rectify this shortcoming and probe the potential of GPM in clinical contexts, particularly in aiding patients with the selection of optimal tumor treatment plans, this paper introduces the concept of probabilistic graph pattern matching specifically modified for the Tumor knowledge Graph (TKG). We propose a multi-constraint graph pattern matching algorithm, hereinafter designated as TKG-McGPM, customized for the Tumor knowledge Graph. Through experimental verification, we establish that TKG-McGPM can facilitate more efficient and informed decision-making in tumor treatment planning.

关键词： Graph Pattern Matching Probabilistic Graph Pattern Matching Tumor knowledge Graph Monte Carlo Method

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Deceiving LLM through Compositional Instruction with Hidden Attacks

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ACM Transactions on Autonomous and Adaptive Systems 1000年

作者： Shuyu Jiang Xingshu Chen Rui Tang School of Cyber Science and Engineering Sichuan University China School of Cyber Science and Engineering Sichuan University Key Laboratory of Data Protection and Intelligent Management (Sichuan University) Ministry of Education Cyber Science Research Institute Sichuan University China

Recently, large language models (LLMs) have demonstrated promising applications in the autonomous driving (AD) domain, including language-based interactions and decision-making. Ensuring they safely handle harmful inputs is crucial before formal deployment. However, research reveals emerging hand-crafted jailbreak attacks, which pack harmful prompts into harmless instructions, can bypass LLMs’ security mechanisms and elicit harmful responses. To deeply understand such jailbreaks, this paper introduces a Compositional Instruction Attack (CIA) framework to generalize them, and develop two CIA jailbreaking methods to automatically generate tailored jailbreak prompts for each harmful prompt. Then, this paper builds the first CIA question-answering (CIAQA) dataset with 2.7K multiple-choice questions of 900 successful jailbreaks, for assessing LLMs’ ability to identify underlying harmful intents, harmfulness, and task priority in CIA jailbreaks. Combined with experimental analysis on CIAQA and other datasets, this paper concludes three possible reasons for the failure of LLM defenses against CIAs. Finally, we propose an intent-based defense paradigm (IBD), enabling LLMs to defend against CIA by leveraging its capability to identify intents. Experimental results show CIA can achieve attack success rates (ASR) of 95%+ and 85%+ in AD and common harmful scenarios for three well-known LLMs (GPT-4, GPT-3.5, and Llama2-70b-chat), and IBD reduces ASR by 74%+.

关键词： Large language model autonomous driving adversarial attack harmful prompt

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