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The structural analysis of protein sequences based on the quasi-amino acids code

Chinese Physics B 2009年第1期18卷 363-369页

作者：朱平唐旭清徐振源 School of Science Jiangnan University Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Anhui University

Proteomics is the study of proteins and their interactions in a cell. With the successful completion of the Human Cenome Project, it comes the postgenome era when the proteomics technology is emerging. This paper studies protein molecule from the algebraic point of view. The algebraic system （∑, ＋, ＊） is introduced, where ∑ is the set of 64 codons. According to the characteristics of （∑, ＋, ＊）, a novel quasi-amino acids code classification method is introduced and the corresponding algebraic operation table over the set ZU of the 16 kinds of quasi-amino acids is established. The internal relation is revealed about quasi-amino acids. The results show that there exist some very close correlations between the properties of the quasi-amino acids and the codon. All these correlation relationships may play an important part in establishing the logic relationship between codons and the quasi-amino acids during the course of life origination. According to Ma F et al （2003 J. Anhui Agricultural University 30 439）, the corresponding relation and the excellent properties about amino acids code are very difficult to observe. The present paper shows that （ZU, ＋,×） is a field. Furthermore, the operational results display that the eodon tga has different property from other stop codons. In fact, in the mitochondrion from human and ox genomic codon, tga is just tryptophane, is not the stop codon like in other genetic code, it is the case of the Chen W C et al （2002 Acta Biophysiea Siniea 18（1） 87）. The present theory avoids some inexplicable events of the 20 kinds of amino acids code, in other words it solves the problem of ＇the 64 codon assignments of mRNA to amino acids is probably completely wrong＇ proposed by Yang （2006 Progress in Modern Biomedicine 6 3）.

关键词： algebraic operation quasi-amino acids code protein sequences structural analysis

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An Optimization Algorithm for Service Composition Based on an Improved FOA

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Tsinghua Science and Technology 2015年第1期20卷 90-99页

作者： Yiwen Zhang Guangming Cui Yan Wang Xing Guo Shu Zhao the School of Computer Science and Technology Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University

Large-scale service composition has become an important research topic in Service-Oriented computing（SOC）. Quality of Service（Qo S） has been mostly applied to represent nonfunctional properties of web services and to differentiate those with the same functionality. Many studies for measuring service composition in terms of Qo S have been completed. Among current popular optimization methods for service composition, the exhaustion method has some disadvantages such as requiring a large number of calculations and poor scalability. Similarly,the traditional evolutionary computation method has defects such as exhibiting slow convergence speed and falling easily into the local optimum. In order to solve these problems, an improved optimization algorithm, WS FOA（Web Service composition based on Fruit Fly Optimization Algorithm） for service composition, was proposed, on the basis of the modeling of service composition and the FOA. Simulated experiments demonstrated that the algorithm is effective, feasible, stable, and possesses good global searching ability.

关键词： service composition Fruit Fly Optimization Algorithm（FOA） Quality of Service（QoS） index

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MR-IDPSO: A Novel Algorithm for Large-Scale Dynamic Service Composition

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Tsinghua Science and Technology 2015年第6期20卷 602-612页

作者： Yanping Zhang Zihui Jing Yiwen Zhang School of Computer Science and Technology Key Laboratory of Intelligent Computing and Signal ProcessingMinistry of EducationAnhui University

In the era of big data, data intensive applications have posed new challenges to the field of service composition. How to select the optimal composited service from thousands of functionally equivalent services but different Quality of Service(Qo S) attributes has become a hot research in service computing. As a consequence,in this paper, we propose a novel algorithm MR-IDPSO(Map Reduce based on Improved Discrete Particle Swarm Optimization), which makes use of the improved discrete Particle Swarm Optimization(PSO) with the Map Reduce to solve large-scale dynamic service composition. Experiments show that our algorithm outperforms the parallel genetic algorithm in terms of solution quality and is efficient for large-scale dynamic service composition. In addition,the experimental results also demonstrate that the performance of MR-IDPSO becomes more better with increasing number of candidate services.

关键词： Map Reduce service composition Quality of Service(

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Vector Field-Guided Circumnavigation for an Unmanned Surface Vehicle With Boundary and Obstacle Constraints

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IEEE Transactions on Emerging Topics in computing 2025年

作者： Wu, Nailong Wang, Jigang Wang, Yueying He, Shuping Donghua University College of Information Science and Technology Shanghai201620 China Donghua University Engineering Research Center of Digitized Textile & Apparel Technology Ministry of Education Shanghai201620 China Shanghai University School of Mechatronic Engineering and Automation Shanghai200444 China Anhui University Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education School of Electrical Engineering and Automation Hefei230601 China

This article aims to tackle the challenge of rapid target circumnavigation by unmanned surface vehicles (USVs) under boundary and obstacle constraints through leveraging an emerging computing architecture specifically tailored for unmanned systems. Owing to the underactuation of USV dynamic systems and the presence of various time-varying surface disturbances, attaining rapid and accurate position control along with maneuverability poses a significant challenge to USVs. Therefore, when an USV maneuvers around a target in a confined search area with obstacles, it is essential for the guidance law to consider collision risks and environmental disturbances. This paper proposes a modified Lyapunov vector field with heading deviation compensation to circle the target in complex search regions. The vector field is designed to increase the radial velocity of the USV and accelerate convergence towards the target circle during the pursuit phase. By combining the proposed Lyapunov vector field with a boundary vector field, the USV can swiftly avoid boundaries and dynamic obstacles and then continue circling the target. The proposed computing architecture extends the application scope of the target circumnavigation to practical water surface environments, which is validated by extensive simulations and rigorous experiments. © 2025 IEEE.

关键词： Unmanned surface vehicles

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Chebyshev Approximation for Fast Frequency- Sweep Analysis of Electromagnetic Scattering Problem

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电子学报(英文版) 2006年第4期15卷 736-738页

作者： CHEN Mingsheng WU Xianliang HUANG Zhixiang SHA Wei Key Laboratory of Intelligent Computing and Signal Processing Anhui University Hefei 230039 China

To complete the scattering analysis of an arbitrary shaped perfectly electric conductor over a wide frequency band, the Chebyshev polynomial of first kind is applied. The Chebyshev nodes within a given frequency range are found, and then the surface electric currents at these nodes are computed by the method of moments. The surface current is expanded in a polynomial function via the Chebyshev approximation. Using this function, the electric current distribution can be obtained at any frequency within the given frequency range. The numerical results are compared with the results obtained by the method of moments, and the complexity of computation is reduced obviously.

关键词： Chebyshev逼近快速频率扫描电磁散射电导体

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Clustered Temporal Patch Transformer Network via Deep Local Feature Learning for Industrial Soft Sensor Applications

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IEEE Sensors Journal 2025年

作者： Xiao, Lin Wang, Pingping Fang, Yijing Hunan Normal University College of Information Science and Engineering Changsha 410081 China Hunan Normal University Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing Changsha 410081 China

Accurate estimation of key quality indexes is critical for achieving optimal control in industrial processes. However, fluctuations in operating conditions, coupled with process lags, lead to multimodal data distributions and time-dependent correlations. These dynamics create fixed characteristic patterns within operating modes while propagating changes with delays, increasing the complexity of quality soft sensor modeling. To address these challenges, this paper proposes a novel Clustered Temporal Patch Transformer (CTPT-Former) for soft sensor modeling in industrial processes. CTPT-Former perceives coarse-grained process variability by identifying distinct operational modes in multimodal data. Each modal data is subsequently partitioned into patch units to enhance local feature extraction and capture fine-grained temporal dynamics. Futhermore, a time-dependent self-attention mechanism (CTPT-SA) is developed to strengthen the ability of model to uncover local and temporal correlations within and across modes, alleviating the complexities introduced by operational dependencies and spatial continuity of materials. Experimental results on real industrial datasets validate the superiority of the proposed approach compared to existing state-of-the-art methods. © 2001-2012 IEEE.

关键词： Clustered temporal patch self-attention (CTPT-SA) Clustered temporal patch transformer (CTPT-Former) industrial process local feature predictive modeling

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Liver image segmentation using a rotated variable-sized window attention mechanism: Application of the ARVSA u-net model

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Biomedical signal processing and Control 2025年 108卷

作者： Zhou, Shuoshuo Lei, Xuemei Sun, Lijun Electronics and Information Engineering Inner Mongolia University Inner Mongolia Huhehaote010010 China Inner Mongolia Key Laboratory of Intelligent Communication and Sensing and Signal Processing Hohhot 010020 China Department of Neurology The Affiliated Hospital of Inner Mongolia Medical University Inner Mongolia Huhehaote010010 China

Precise hepatic image segmentation is essential for the diagnosis and treatment of liver disorders. This paper introduces the ARVSA U-Net model as a solution to overcome the constraints of conventional approaches in global feature extraction and adaptation. This model combines U-Net and Transformer technologies to effectively address tumors of different sizes by utilizing an adaptive attention window method. This mechanism allows for the capture of complex structural information, resulting in a notable increase in segmentation accuracy. Furthermore, the VSA framework has an automated rotation mechanism to enhance the management of liver tumors with varying sizes and forms. The suggested model has been validated on the LITS dataset, showing exceptional performance. It achieved a Dice score of 95.5% for liver segmentation and 88.3% for liver tumor segmentation. The results validate the model's efficacy in segmenting CT liver tumor pictures with diverse grayscale levels, shapes, sizes, and locations. To summarize, the ARVSA U-Net algorithm has exceptional performance in accurately defining the borders of tumors, especially in situations when there is poor contrast and indistinct edges. © 2025 Elsevier Ltd

关键词： Image segmentation

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Shape Recognition and Retrieval Based on Edit Distance and Dynamic Programming

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Tsinghua Science and Technology 2009年第6期14卷 739-745页

作者：潘鸿飞梁栋唐俊王年李薇 Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Anhui University

An important aim in pattern recognition is to cluster the given shapes. This paper presents a shape recognition and retrieval algorithm. The algorithm first extracts the skeletal features using the medial axis transform. Then, the features are transformed into a string of symbols with the similarity among those symbols computed based on the edit distance. Finally, the shapes are identified using dynamic programming. Two public datasets are analyzed to demonstrate that the present approach is better than previous approaches.

关键词： skeletal features medial axis transform edit distance dynamic programming

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SolBERT: Advancing solidity smart contract similarity analysis via self-supervised pre-training and contrastive fine-tuning

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Information and Software Technology 2025年 184卷

作者： Tian, Zhenzhou Teng, Yudong Ke, Xianqun Chen, Yanping Chen, Lingwei School of Computer Science and Technology Xi'an University of Posts and Telecommunications Shaanxi Xi'an710121 China Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing Xi'an University of Posts and Telecommunications Shaanxi Xi'an710121 China Xi'an Key Laboratory of Big Data and Intelligent Computing Xi'an University of Posts and Telecommunications Shaanxi Xi'an710121 China Department of Computer Science and Engineering Wright State University DaytonOH45435 United States

Context: Reliable and effective similarity analysis for the smart contracts facilitates the maintenance and quality assurance of the smart contract ecosystem. However, existing signature-based methods and code representation learning-based methods suffer from limitations such as heavy-weight program analysis payloads or suboptimal contract encodings. Objective: This paper aims to design a fully unsupervised language model for better capturing the syntactic and semantic richness of Solidity code, and utilizes it for advancing the effectiveness of smart contract similarity analysis. Methods: Inspired by the impressive semantic learning capability of pre-trained language models (PLMs), we propose SolBERT, a PLM specifically tailored for enhancing Solidity smart contracts similarity detection. To ensure it produces high-quality encodings, SolBERT leverages BERT-style pre-training with the masked language modeling (MLM) and token type prediction (TTP) tasks applied on code-structure-aware token sequences derived from the contracts’ abstract syntax trees (ASTs) through structure-retaining tree linearization and light-weight normalization to learn a base model. On this basis, self-supervised contrastive fine-tuning and unsupervised whitening operations are further performed to optimize contract encoding generation. Results: Experiments are conducted on three contract similarity-related tasks, including contract clone detection, bug detection, and code clustering. The results indicate that SolBERT significantly outperforms state-of-the-art approaches with average absolute gains of 21.33% and 21.50% in terms of F1, and 17.78% and 26.60% in terms of accuracy for the clone detection and bug detection tasks, respectively;and an average absolute gain of 17.97% for code clustering task. When applying both contrastive fine-tuning and whitening optimizations, SolBERT also shows superior performance than the case of lacking any of them. Conclusion: The proposed approach, SolBERT, ca

关键词： Reliability analysis

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High-precision end-to-end adaptive optics aided orbital angular momentum wireless communication with XFTC-Net

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Optics Letters 2025年第10期50卷 3265-3268页

作者： Panpan Xu Huan Chang Fei Wang Ran Gao Dong Guo Lei Zhu Zhipei Li Sitong Zhou Qi Xu Jing Chen Xiangjun Xin School of Information and Electronics Beijing Institute of Technology (BIT) Beijing 100081 China National Key Laboratory of Science and Technology on Space-Born Intelligent Information Processing Beijing China School of Electronic Engineering Beijing University of Posts and Telecommunications (BUPT) Beijing 100876 China Key Laboratory of Computing Power Network and Information Security Ministry of Education Qilu University of Technology 250353 China

In this Letter, we demonstrate high-precision end-to-end adaptive optics (AO) technique based on the X-Shape Fusion Transformer-convolutional neural network (XFTC-Net) without an additional probe path to compensate for distortions caused by atmospheric turbulence (AT) in orbital angular momentum (OAM) optical wireless communication links. The experimental results show that the XFTC-Net effectively extracts the intensity distribution features of distorted OAM beams, predicting AT phase screens and identifying OAM modes. After XFTC-Net-aided AO compensation, the bit error rate of the OAM optical communication system remains below 3.8 × 10 −3 , staying within $C_{n}^2=1 \times 10^{-15}$ –1 × 10 −13 m −2/3 . Moreover, the optical power with l = 3 increases from 5.08 dBm to 8.23 dBm at a transmission distance of 800 m. These experimental results indicate that the proposed XFTC-Net AO technique effectively compensates for OAM beam distortion in both single- and multiplexed-channel OAM links, which effectively balances the system complexity and transmission performance of OAM-based free space optical (FSO) communication systems, opening up new avenues for enhancing the performances of high-capacity optical communication.

关键词： Adaptive optics Bit error rate Neural networks Optical wireless communication Polarization division multiplexing Space division multiplexing

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