Template-Type: ReDIF-Article 1.0
Author-Name: Dandan Zhao
Author-X-Name-First: Dandan
Author-X-Name-Last: Zhao
Author-Name: Lin Li
Author-X-Name-First: Lin
Author-X-Name-Last: Li
Title: Optimisation decision model of enterprise financial risk management combining stochastic demand
Abstract:
To address the problems of complex financial activities and difficult cross-control risks in the environment of stochastic collaborative innovation, we propose an enterprise financial risk management model for implementing stochastic collaborative innovation from multiple perspectives of the environment, human factors, technology, organisation, and process. On this basis, the relevant random influence factor set is analysed and summarised as a basis for enterprise financial risk management and evaluation. Given the Pareto effect for the enterprise financial risk management factor set, combined with the enterprise financial risk management model and element set, an optimisation decision model of enterprise financial risk management combining the random demand function is proposed. Through the case study of product design in an enterprise, the scientificity and effectiveness of the model are verified.
Journal: Int. J. of Information Technology and Management
Pages: 139-152
Issue: 2/3
Volume: 21
Year: 2022
Keywords: product design; stochastic collaborative innovation; enterprise financial risk management; risk evaluation; random set theory; radial basis function.
File-URL: http://www.inderscience.com/link.php?id=123394
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Handle: RePEc:ids:ijitma:v:21:y:2022:i:2/3:p:139-152

Template-Type: ReDIF-Article 1.0
Author-Name: Ruirong Jing
Author-X-Name-First: Ruirong
Author-X-Name-Last: Jing
Author-Name: Huilin Wang
Author-X-Name-First: Huilin
Author-X-Name-Last: Wang
Author-Name: Guohui Gao
Author-X-Name-First: Guohui
Author-X-Name-Last: Gao
Title: Research on integrated management of sales and inventory information in circulation enterprises based on case-based learning
Abstract:
Aiming at the problems of low classification accuracy, low recall rate and low efficiency of comprehensive information management of circulation enterprises, a case-based integrated management method of sales and inventory information of circulation enterprises was proposed. Taking a circulation enterprise in Hebei province as an example, this paper introduces the function of integrated management of sales and inventory information. This paper classifies the sales and inventory information of circulation enterprises, obtains the classification results of sales and inventory information by calculating the discriminant matrix, analyses the risk management of sales and inventory information of circulation enterprises, and expounds the relationship between the risk management of sales and inventory information of circulation enterprises and other fields. The accuracy and recall rate of information classification of this method are good, which can correctly and completely complete the classification of enterprise inventory information. Comprehensive information management efficiency is more than 90%, with higher efficiency of comprehensive management.
Journal: Int. J. of Information Technology and Management
Pages: 153-168
Issue: 2/3
Volume: 21
Year: 2022
Keywords: case study; circulation enterprises; sales and inventory information; integrated management.
File-URL: http://www.inderscience.com/link.php?id=123398
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Handle: RePEc:ids:ijitma:v:21:y:2022:i:2/3:p:153-168

Template-Type: ReDIF-Article 1.0
Author-Name: Lv Wenwen
Author-X-Name-First: Lv
Author-X-Name-Last: Wenwen
Author-Name: Zarina Abdul Salam
Author-X-Name-First: Zarina Abdul
Author-X-Name-Last: Salam
Title: Research on efficiency evaluation of financial refinement management based on DEA
Abstract:
Aiming at the low fitting degree of the traditional financial management performance evaluation method, a DEA-based financial refinement management effectiveness evaluation method is proposed. This paper analyses the overall structure of the financial department, takes the effectiveness evaluation index of financial management at home and abroad as the reference object, and constructs the effectiveness evaluation index system of financial fine management. According to the evaluation index system, CR model and BCC model in DEA method are adopted to evaluate the efficiency of financial delicacy management. Experimental results show that the method has small error, high fitting index and good practical performance.
Journal: Int. J. of Information Technology and Management
Pages: 169-184
Issue: 2/3
Volume: 21
Year: 2022
Keywords: DEA; financial refinement management; efficiency evaluation; evaluation index system.
File-URL: http://www.inderscience.com/link.php?id=123399
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Handle: RePEc:ids:ijitma:v:21:y:2022:i:2/3:p:169-184

Template-Type: ReDIF-Article 1.0
Author-Name: Xiao-ying Shi
Author-X-Name-First: Xiao-ying
Author-X-Name-Last: Shi
Title: Mobile payment risk prediction of communication operators under new business model
Abstract:
In order to overcome the problems of low precision and high energy consumption existing in traditional methods, this paper studies the risk prediction of mobile payment of communication operators under the new business model. In this paper, the expert evaluation method is used to establish the mobile payment risk prediction index system of communication operators under the new business model. The analytic hierarchy process is used to calculate the weight of the prediction index through the structure of hierarchy, the construction of judgment matrix, the calculation of weight vector, the consistency test and the calculation of combined weight vector. The fuzzy comprehensive evaluation method is used to build the mobile payment risk prediction model. The prediction accuracy of the proposed method is always higher than 97%, the total CPU consumption is 34.64%, and the memory utilisation is 12.36%, which has high prediction accuracy and low prediction energy consumption.
Journal: Int. J. of Information Technology and Management
Pages: 185-199
Issue: 2/3
Volume: 21
Year: 2022
Keywords: new business model; communication operator; mobile payment risk; prediction model.
File-URL: http://www.inderscience.com/link.php?id=123400
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Handle: RePEc:ids:ijitma:v:21:y:2022:i:2/3:p:185-199

Template-Type: ReDIF-Article 1.0
Author-Name: Nuan Wang
Author-X-Name-First: Nuan
Author-X-Name-Last: Wang
Title: Establishment of business risk information value assessment model based on RAROC
Abstract:
Aiming at the problem of low precision of current enterprise risk assessment methods, a RAROC based enterprise risk information value assessment model is proposed. The crawler search method with topic search is adopted to collect the business information data, and the extended tree structure is introduced to clean up the collected data, transformation of basic information data and business value. RAROC is used to process the information with commercial value and realise the value evaluation of commercial risk information. According to the model and KMV model, the risk adjustment coefficient was calculated. The results of the RAROC value evaluation are reflected through statements. The experimental results show that the goodness of fit index, standard fit index and comparison fit index of the model are all close to 1, and the approximate root-mean-square error is less than 0.02, which proves the effectiveness and accuracy of the method.
Journal: Int. J. of Information Technology and Management
Pages: 200-214
Issue: 2/3
Volume: 21
Year: 2022
Keywords: RAROC; business risk; assessment; model.
File-URL: http://www.inderscience.com/link.php?id=123401
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Handle: RePEc:ids:ijitma:v:21:y:2022:i:2/3:p:200-214

Template-Type: ReDIF-Article 1.0
Author-Name: Mei Mei
Author-X-Name-First: Mei
Author-X-Name-Last: Mei
Title: Research on real-time acquisition method of logistics location information of electric commerce based on ranking threshold
Abstract:
In order to overcome the problems of high energy consumption, poor real-time performance and low quality in current methods of collecting positioning information of e-commerce logistics, this paper proposes a real-time method of collecting positioning information of e-commerce logistics based on ranking threshold. By adjusting the mechanism of sensor nodes, the deployment of information acquisition nodes is realised. Redundant data in e-commerce logistics positioning information is removed by comparator, and sorting threshold method is introduced. The real-time collection of e-commerce logistics positioning information is completed by classifying and processing e-commerce logistics positioning information with mixed features. The experimental results show that the energy consumption factor of the proposed method is less than 1.8, the information transmission delay is less than 0.2, and the user satisfaction is more than 90%. It proves that the proposed method is more effective and robust.
Journal: Int. J. of Information Technology and Management
Pages: 215-232
Issue: 2/3
Volume: 21
Year: 2022
Keywords: sorting threshold; e-commerce logistics positioning information; information collection; redundant data.
File-URL: http://www.inderscience.com/link.php?id=123402
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Handle: RePEc:ids:ijitma:v:21:y:2022:i:2/3:p:215-232

Template-Type: ReDIF-Article 1.0
Author-Name: Jing Hu
Author-X-Name-First: Jing
Author-X-Name-Last: Hu
Title: Research on visualisation transmission method for business innovation strategy data based on structural characteristics
Abstract:
In order to overcome the problems of low transfer accuracy and user satisfaction existing in the existing data visualisation transfer methods, this paper proposes a data visualisation transfer method of business innovation strategy based on structural features. The similarity calculation method of structure feature tree is used to realise the data structure feature processing. The sub-trees of all non-isomorphic patterns of K nodes are constructed. The number of isomorphic sub-trees is calculated in the tree, and the transfer data division is completed. Based on the basic program of business intelligence, the original data of business innovation strategy is processed, converted into various types of visualisation structure data, and transmitted to relevant personnel in online form to complete the visualisation transmission of business innovation strategy data. The experimental results show that the proposed method is more accurate, up to 99.3%, and users are more satisfied.
Journal: Int. J. of Information Technology and Management
Pages: 233-247
Issue: 2/3
Volume: 21
Year: 2022
Keywords: structural characteristics; business innovation; strategic data; visualisation transmission.
File-URL: http://www.inderscience.com/link.php?id=123403
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Handle: RePEc:ids:ijitma:v:21:y:2022:i:2/3:p:233-247

Template-Type: ReDIF-Article 1.0
Author-Name: Guojian Lin
Author-X-Name-First: Guojian
Author-X-Name-Last: Lin
Author-Name: Weichuan Chen
Author-X-Name-First: Weichuan
Author-X-Name-Last: Chen
Title: Early warning method for enterprise financial informatisation caused by tax difference
Abstract:
Low accuracy occurs when the traditional method only considers the financial report index when designing the early warning model, and ignores the influence of non-financial data on the early warning model. In order to overcome this problem, based on the discrete-time risk model, this paper proposes an early warning method of enterprise financial information caused by tax differences. Starting from the establishment of enterprise financial information early warning system, this paper analyses the importance of tax indicators to enterprise financial information early warning model. By studying the early warning system, we select index data in the model, add tax difference indicators, select multi-period panel data, and use discrete-time risk model to build enterprise financial information early warning model. The experimental results show that the accuracy of this method is as high as 99.05%, and there is no multicollinearity among the variables in the model, which is reliable.
Journal: Int. J. of Information Technology and Management
Pages: 248-263
Issue: 2/3
Volume: 21
Year: 2022
Keywords: tax differentials; enterprise finance; informatisation; early warning; discrete time risk model.
File-URL: http://www.inderscience.com/link.php?id=123404
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Handle: RePEc:ids:ijitma:v:21:y:2022:i:2/3:p:248-263

Template-Type: ReDIF-Article 1.0
Author-Name: Jing Li
Author-X-Name-First: Jing
Author-X-Name-Last: Li
Author-Name: Ming Yan
Author-X-Name-First: Ming
Author-X-Name-Last: Yan
Title: Research on digital management method of market information based on fusion information
Abstract:
In order to overcome the problems of low management efficiency and long management execution period of traditional market information management methods, this paper proposes a digital management method of market information based on fusion information. Firstly, the original market information is counted, and the chart information and literature information in the original market information are digitised. By then calculating the similarity of market information, the digital information is clustered and fused. Based on the results of clustering and fusion of digital information, the market information management database is constructed, and the comprehensive digital management of market information is realised from the aspects of confidentiality management, authority management, literature information management and so on. The experimental results show that the management efficiency of this method is always over 96%, and the management efficiency is the highest; the management execution cycle is between 1.4 min to 1.9 min, and the management cycle is the shortest.
Journal: Int. J. of Information Technology and Management
Pages: 264-279
Issue: 2/3
Volume: 21
Year: 2022
Keywords: fusion information; market information; digital information; information management methods.
File-URL: http://www.inderscience.com/link.php?id=123405
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Handle: RePEc:ids:ijitma:v:21:y:2022:i:2/3:p:264-279

Template-Type: ReDIF-Article 1.0
Author-Name: Huan Zhou
Author-X-Name-First: Huan
Author-X-Name-Last: Zhou
Author-Name: Enjun Ding
Author-X-Name-First: Enjun
Author-X-Name-Last: Ding
Title: Trajectory information acquisition method for library borrowing behaviour based on RFID technology
Abstract:
In order to overcome the low speed of the traditional methods of collecting the track information of library lending behaviour, this paper proposes a new method of collecting the track information of library lending behaviour based on RFID technology. In this method, access software is used to export the record data of borrowing behaviour and classify them according to types. The original data format is converted into the materialised data, and Apriori algorithm is used to analyse the association and mine the track information of library borrowing behaviour. RFID reader is used as the main part, and the track information of library borrowing behaviour is collected through the track estimation algorithm. The experimental results show that the information collection rate of this method is between 5.26 s-6.39 s, and the collection effect of library borrowing behaviour track information is better.
Journal: Int. J. of Information Technology and Management
Pages: 280-293
Issue: 2/3
Volume: 21
Year: 2022
Keywords: RFID technology; library borrowing behaviour; trajectory information acquisition; borrowing behaviour record data.
File-URL: http://www.inderscience.com/link.php?id=123406
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Handle: RePEc:ids:ijitma:v:21:y:2022:i:2/3:p:280-293

Template-Type: ReDIF-Article 1.0
Author-Name: Shibiao Mu
Author-X-Name-First: Shibiao
Author-X-Name-Last: Mu
Title: Feature extraction modelling of enterprise innovation behaviour data based on morphological gradient
Abstract:
Aiming at the problem of slow speed and low accuracy of traditional feature extraction model for enterprise behaviour data, a feature extraction model for enterprise innovation behaviour data based on morphological gradient is constructed. The model is divided into two parts: the virtual method is used to integrate the data of enterprise innovation behaviour, and the data are synthesised and filtered; the morphological gradient operator is used to extract the features of the integrated data of enterprise innovation behaviour. The simulation results show that using the proposed model to extract the characteristics of enterprise innovation behaviour data, the extraction process only takes 15.68 min, and the average extraction accuracy can reach 96.68%. This result is much better than the three traditional models and achieves the expected goal.
Journal: Int. J. of Information Technology and Management
Pages: 294-310
Issue: 2/3
Volume: 21
Year: 2022
Keywords: morphological gradient; enterprise innovation behaviour; data characteristics; feature extraction model.
File-URL: http://www.inderscience.com/link.php?id=123407
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Handle: RePEc:ids:ijitma:v:21:y:2022:i:2/3:p:294-310

Template-Type: ReDIF-Article 1.0
Author-Name: Qiong Kang
Author-X-Name-First: Qiong
Author-X-Name-Last: Kang
Title: Information supervisory model for financial risk prevention and control based on twin-SVM
Abstract:
Aiming at the problems of poor effect and low accuracy of traditional financial market risk prevention and control methods, a financial risk prevention and control information monitoring model based on double support vector machine is proposed. The improved support vector machine and asymmetric COvAR data were combined with covariance operation to reduce the actual tail risk overflow. Through financial aggregation and covariance tail data of current characteristic financial system, the spillover effect of financial risk is obtained. According to the extreme value statistical analysis theorem, it is determined that the current financial risk gradually obeys the extreme value. In order to verify the effectiveness of the method, the financial data from 2012 to 2018 provided by a bank were used as experimental samples to conduct simulation experiments. Experimental data show that the proposed method has lower boundary cost and higher market arbitrage, and has a strong market applicability.
Journal: Int. J. of Information Technology and Management
Pages: 311-326
Issue: 2/3
Volume: 21
Year: 2022
Keywords: financial risk; dataset; support vector machine; SVM.
File-URL: http://www.inderscience.com/link.php?id=123408
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Handle: RePEc:ids:ijitma:v:21:y:2022:i:2/3:p:311-326

Template-Type: ReDIF-Article 1.0
Author-Name: Zijian Zhang
Author-X-Name-First: Zijian
Author-X-Name-Last: Zhang
Author-Name: Yu Liang
Author-X-Name-First: Yu
Author-X-Name-Last: Liang
Author-Name: Yu Cui
Author-X-Name-First: Yu
Author-X-Name-Last: Cui
Author-Name: Junyu Liu
Author-X-Name-First: Junyu
Author-X-Name-Last: Liu
Title: Integration technology of logistics information resources in electric power enterprises based on web services
Abstract:
In order to overcome the problems of high data access delay and poor security in current logistics management of electric power enterprises, the integration technology of logistics information resources in electric power enterprises based on web services is proposed. ID3 algorithm is used to rank the attributes of logistics information resources in power enterprises. Based on web services, three-dimensional mapping space is constructed by using attributes and management patterns of information resources. The best integration mode is obtained by combining rules, to realise the integration of information sources to resources storage and transmission. The experimental results show that the data access delay of the proposed technology is less than 10 s, and the security of data integration and the satisfaction of integration results are higher than 95%, which proves that the proposed technology is more reliable and effective.
Journal: Int. J. of Information Technology and Management
Pages: 327-341
Issue: 2/3
Volume: 21
Year: 2022
Keywords: web services; power enterprises; logistics; information resource integration; ID3 algorithm.
File-URL: http://www.inderscience.com/link.php?id=123409
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Handle: RePEc:ids:ijitma:v:21:y:2022:i:2/3:p:327-341

Template-Type: ReDIF-Article 1.0
Author-Name: Yongjie Tan
Author-X-Name-First: Yongjie
Author-X-Name-Last: Tan
Author-Name: Jie Qin
Author-X-Name-First: Jie
Author-X-Name-Last: Qin
Title: An intelligent image denoising method using weighted multi-scale CB morphological filter algorithm
Abstract:
In order to improve the accuracy of paper disease recognition in paper making process, a paper image denoising method based on multi-scale contour bougie (CB) element morphological filter is proposed. The small-scale structural elements in CB morphological filtering algorithm have better detail protection ability, and the large-scale structural elements have stronger noise suppression ability. By selecting several structural elements to filter the image, and then fusing the filtered images at different scales, the final denoising image can be obtained. The simulation results on the holes paper disease image with Gauss noise and salt and pepper noise show that the PSNR reaches more than 43 dB and 38 dB respectively, which proves that this method can suppress the noise in the image and keep the image details well.
Journal: Int. J. of Information Technology and Management
Pages: 359-368
Issue: 4
Volume: 21
Year: 2022
Keywords: image denoising; CB morphological filter; multi-scale structural elements; weighted fusion.
File-URL: http://www.inderscience.com/link.php?id=126701
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Handle: RePEc:ids:ijitma:v:21:y:2022:i:4:p:359-368

Template-Type: ReDIF-Article 1.0
Author-Name: Xifeng Wang
Author-X-Name-First: Xifeng
Author-X-Name-Last: Wang
Author-Name: Xiaoluan Zhang
Author-X-Name-First: Xiaoluan
Author-X-Name-Last: Zhang
Title: Network intrusion detection method based on improved ant colony algorithm combined with cluster analysis in cloud computing environment
Abstract:
Aiming at the low detection accuracy of traditional clustering algorithm in intrusion detection under cloud computing platform, a network intrusion detection method based on improved ant colony algorithm combined with clustering analysis is proposed. The purpose of the ant colony clustering module is to distinguish most of the clusters belonging to the same type again by clustering algorithm. Each feature vector is used as the clustering centre to process and analyse them, so as to realise the separation of legal and illegal acts of network data as far as possible. Experiments on KDDcup99 data set show that the accuracy of the algorithm can achieve at 94.3% for DoS intrusion types and 94.1% for U2R intrusion types, which is higher than that of the contrast methods. It further proves that the proposed improved algorithm has a good clustering effect.
Journal: Int. J. of Information Technology and Management
Pages: 345-358
Issue: 4
Volume: 21
Year: 2022
Keywords: network intrusion detection; ant colony algorithm; cluster analysis; genetic algorithm; abnormal data.
File-URL: http://www.inderscience.com/link.php?id=126702
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Handle: RePEc:ids:ijitma:v:21:y:2022:i:4:p:345-358

Template-Type: ReDIF-Article 1.0
Author-Name: Qian Wang
Author-X-Name-First: Qian
Author-X-Name-Last: Wang
Author-Name: Wenxia Chen
Author-X-Name-First: Wenxia
Author-X-Name-Last: Chen
Author-Name: Haiyun Peng
Author-X-Name-First: Haiyun
Author-X-Name-Last: Peng
Title: An intelligent image detection method using improved canny edge detection operator
Abstract:
In order to meet the requirement of edge detection of paper disease image in papermaking process, a paper disease image detection method based on improved Canny operator is proposed. Firstly, according to the principle of Gauss filtering and the method of feature statistical analysis, the filtering function and window are selected adaptively. Then, in the gradient solution, the traditional 2 × 2 neighbourhood is replaced by the 3 × 2 or 2 × 3 neighbourhood which enhances the weight of the intermediate pixel, and the accuracy of edge detection is improved by enhancing the influence of the intermediate pixel. Finally, the iterative averaging method is used to determine the optimal threshold and reduce the error rate of image edge segmentation. The experimental results show that this method can effectively detect the edges of paper disease area and has good edge continuity.
Journal: Int. J. of Information Technology and Management
Pages: 369-381
Issue: 4
Volume: 21
Year: 2022
Keywords: intelligent image detection; edge detection; improved canny operator; Gauss filtering; feature statistical analysis; adaptive.
File-URL: http://www.inderscience.com/link.php?id=126703
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Handle: RePEc:ids:ijitma:v:21:y:2022:i:4:p:369-381

Template-Type: ReDIF-Article 1.0
Author-Name: Xindong You
Author-X-Name-First: Xindong
Author-X-Name-Last: You
Author-Name: Pengfei Guan
Author-X-Name-First: Pengfei
Author-X-Name-Last: Guan
Author-Name: Xueqiang Lv
Author-X-Name-First: Xueqiang
Author-X-Name-Last: Lv
Author-Name: Baoan Li
Author-X-Name-First: Baoan
Author-X-Name-Last: Li
Author-Name: Xueping Ren
Author-X-Name-First: Xueping
Author-X-Name-Last: Ren
Title: Fine-grained sentiment classification based on semantic extension of target word
Abstract:
The current existing fine-grained sentiment analysis method usually extract the context of the sentence while ignoring the semantic representation of the target words. We extent the target words in comments as the additional input parameters to the deep learning model in this paper. And the influence of the number of extended words on the model's performance is also discussed thoroughly during the experimenting process. Main procedures of our proposed fine-grained sentiment classification method can be described as: 1) firstly, target words are expanded by using the semantic distance of the word embedding, which used as the key information; 2) bidirectional LSTM neural network is used to extract the semantic information afterwards; 3) additionally, the attention mechanism is employed to learn the sentiment weight distribution of the target words among the text automatically. The experiments conducted on the SemEval 2014 Task 4 corpus showed that the proposed method outperforms the other LSTM model.
Journal: Int. J. of Information Technology and Management
Pages: 382-393
Issue: 4
Volume: 21
Year: 2022
Keywords: fine-grained sentiment analysis; target word extension; attention mechanism; bi-directional LSTM.
File-URL: http://www.inderscience.com/link.php?id=126704
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Handle: RePEc:ids:ijitma:v:21:y:2022:i:4:p:382-393

Template-Type: ReDIF-Article 1.0
Author-Name: Xinyang Deng
Author-X-Name-First: Xinyang
Author-X-Name-Last: Deng
Author-Name: Tao Wang
Author-X-Name-First: Tao
Author-X-Name-Last: Wang
Author-Name: Yihe Wang
Author-X-Name-First: Yihe
Author-X-Name-Last: Wang
Author-Name: Na Zhang
Author-X-Name-First: Na
Author-X-Name-Last: Zhang
Author-Name: Kai Liu
Author-X-Name-First: Kai
Author-X-Name-Last: Liu
Author-Name: Fangyuan Yang
Author-X-Name-First: Fangyuan
Author-X-Name-Last: Yang
Title: Research on evaluation of minimum backbone grid of transmission network based on differentiation planning
Abstract:
The essence of the differential planning of transmission network is to evaluate the minimum backbone grid of transmission network, and the evaluation of the backbone grid of transmitting minimum network includes the evaluation of important nodes and the evaluation of important lines. In this paper, the important node evaluation of the transmission network takes into account the structural fragile nodes and the important load nodes, and the important line evaluation is based on the line number, which is considered synthetically from the point of view of the structural fragile line and the important load line. The minimum backbone grid of transmission network is constructed by the structure backbone grid and the important load backbone grid.
Journal: Int. J. of Information Technology and Management
Pages: 394-404
Issue: 4
Volume: 21
Year: 2022
Keywords: minimum backbone grid; fragile nodes; important load nodes.
File-URL: http://www.inderscience.com/link.php?id=126706
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Handle: RePEc:ids:ijitma:v:21:y:2022:i:4:p:394-404

Template-Type: ReDIF-Article 1.0
Author-Name: Yan Geng
Author-X-Name-First: Yan
Author-X-Name-Last: Geng
Author-Name: Yingjun Ju
Author-X-Name-First: Yingjun
Author-X-Name-Last: Ju
Author-Name: Bo Hu
Author-X-Name-First: Bo
Author-X-Name-Last: Hu
Author-Name: Jianwei Ji
Author-X-Name-First: Jianwei
Author-X-Name-Last: Ji
Title: Research on control strategy of grid-connected inverter based on three-loop structure
Abstract:
A grid-connected inverter system is deeply researched based on the two-stage single-phase PV grid-connected inverter. Full bridge structure is adopted in the backend inverter circuit. In order to realise the balanced flow of power, to improve the system's response speed and to eliminate the influence of the resonance peak of LCL filter, the three loop control strategy is adopted in the inverter system. At the same time, the reason of generation of the dead-time and its influence on the output of the grid-connected inverter are analysed in detail. And an improved dead-time compensation method is proposed for zero-current clamping phenomenon. The output voltage error of inverter is extended from two to seven in this method, which effectively solves the problems, such as zero-crossing distortion of the grid-connected current, additional odd harmonic content, higher distortion rate and lower amplitude of fundamental wave.
Journal: Int. J. of Information Technology and Management
Pages: 405-422
Issue: 4
Volume: 21
Year: 2022
Keywords: grid-connected inverter; dead-time compensation; PV.
File-URL: http://www.inderscience.com/link.php?id=126707
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Handle: RePEc:ids:ijitma:v:21:y:2022:i:4:p:405-422

Template-Type: ReDIF-Article 1.0
Author-Name: Suzanne Elayan
Author-X-Name-First: Suzanne
Author-X-Name-Last: Elayan
Author-Name: Martin Sykora
Author-X-Name-First: Martin
Author-X-Name-Last: Sykora
Author-Name: Thomas W. Jackson
Author-X-Name-First: Thomas W.
Author-X-Name-Last: Jackson
Author-Name: Ejovwoke Onojeharho
Author-X-Name-First: Ejovwoke
Author-X-Name-Last: Onojeharho
Title: 'Are you having a laugh?': detecting humorous expressions on social media: an exploration of theory, current approaches and future work
Abstract:
The role of humorous content on social media has rarely been taken into account in prior work. Understanding its dynamics on social media provides insight that could benefit a range of applications in sentiment analysis. This paper introduces literature on humour theory, related human behaviour and a discussion of existing automated approaches to humour detection. We present and review current research on humorous language use on social media and its significance. In particular, example humorous expressions from Twitter are used to illustrate the heterogeneous types of humour on social media. Since most prior work focused on English language contexts, the analysed example uses of humour are set in the Arabic cultural context, providing a novel view. The primary contribution of this paper is the position that similar to sentiment analysis, automated humour detection in its own right has potential in understanding public reactions and should be explored in future studies.
Journal: Int. J. of Information Technology and Management
Pages: 115-137
Issue: 1
Volume: 21
Year: 2022
Keywords: humour; social media; Twitter; sentiment analysis; natural language processing; data mining; automated humour detection; computational linguistics; social media analytics.
File-URL: http://www.inderscience.com/link.php?id=121332
File-Format: text/html
File-Restriction: Open Access
Handle: RePEc:ids:ijitma:v:21:y:2022:i:1:p:115-137

Template-Type: ReDIF-Article 1.0
Author-Name: Lede Niu
Author-X-Name-First: Lede
Author-X-Name-Last: Niu
Author-Name: Mei Pan
Author-X-Name-First: Mei
Author-X-Name-Last: Pan
Author-Name: Yan Zhou
Author-X-Name-First: Yan
Author-X-Name-Last: Zhou
Title: Construction of an urban multi variable geospatial information integration model based on distributed artificial intelligence
Abstract:
In order to improve the ability of urban multi-spatial information integration, a multi-spatial information integration model based on artificial intelligence is proposed. The empirical analysis model of urban multivariate geospatial information integration is established, and the statistical characteristics are analysed according to the information distribution. The multi-resolution clustering model of urban multi-spatial information is established by using the multi-regression parameter method. The methods of fuzzy feature extraction and associated feature mining were used to extract information features, and the constraint parameters of urban multivariate geospatial information integration were analysed by GIS parameter estimation and statistical analysis. The parameter optimisation model of urban multivariate geospatial information integration is established and the artificial intelligence learning algorithm is used to integrate urban multivariate geospatial information. The simulation results show that this method has a good adaptability to the integration of urban multi-spatial information, and is helpful to the spatial distribution planning of geographic information, and improves the ability of accurate mining and scheduling of urban multi-spatial information.
Journal: Int. J. of Information Technology and Management
Pages: 1-12
Issue: 1
Volume: 21
Year: 2022
Keywords: artificial intelligence; urban; multivariate geo-space; information integration; geographic information system; GIS; fuzzy model.
File-URL: http://www.inderscience.com/link.php?id=121333
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Handle: RePEc:ids:ijitma:v:21:y:2022:i:1:p:1-12

Template-Type: ReDIF-Article 1.0
Author-Name: Sanping Qiu
Author-X-Name-First: Sanping
Author-X-Name-Last: Qiu
Title: Optimisation of cost accounting method for resource flow based on blockchain technology
Abstract:
Aiming at the problem of low safety factor and long time consuming of cost accounting method for target resource flow, a new cost accounting method for resource flow based on blockchain technology is proposed. The accounting cost existing in the resource flow is classified. The direct cost is directly included in the business cost, and the indirect cost is allocated in the business cost. Finally, the accounting cost of the resource flow is calculated by the operation cost method. The experimental results show that the safety factor of the proposed method meets the requirements of this field, and the accuracy of the experimental process research method has been stable at more than 80%, and the accounting time of the research method is less than 0.2 s, lower than that of the traditional method. According to the experimental results, the proposed method has a wider application prospect.
Journal: Int. J. of Information Technology and Management
Pages: 13-29
Issue: 1
Volume: 21
Year: 2022
Keywords: blockchain technology; resource flow; accounting cost; accounting method.
File-URL: http://www.inderscience.com/link.php?id=121334
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Handle: RePEc:ids:ijitma:v:21:y:2022:i:1:p:13-29

Template-Type: ReDIF-Article 1.0
Author-Name: Can Yi
Author-X-Name-First: Can
Author-X-Name-Last: Yi
Title: The information association model of college students' archives based on a cloud computing management platform
Abstract:
In order to overcome the problems of slow response time and poor field integrity of the first level of the poor update effect of the student file service, this paper proposes an information association model of college student file based on the cloud computing management platform. To build a cloud computing management platform architecture, according to the characteristics of multi-source and heterogeneous information, judge whether the weight distribution is reasonable through the judgment matrix, calculate the user interest using the processed data, apply the Ebbinghaus forgetting formula to the user interest attenuation, build a complete file information association diagram by solving the association strength between file entities, and get a complete file information association diagram interest correlation analysis model. The experimental results show that it can modify personal space style and log, web service response is faster, service update effect is 7.0, and field integrity is about 7.8.
Journal: Int. J. of Information Technology and Management
Pages: 30-45
Issue: 1
Volume: 21
Year: 2022
Keywords: cloud computing; students' archives; information association.
File-URL: http://www.inderscience.com/link.php?id=121335
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Handle: RePEc:ids:ijitma:v:21:y:2022:i:1:p:30-45

Template-Type: ReDIF-Article 1.0
Author-Name: Cuixia Li
Author-X-Name-First: Cuixia
Author-X-Name-Last: Li
Author-Name: Wenqia Shao
Author-X-Name-First: Wenqia
Author-X-Name-Last: Shao
Title: Design of information push system for global tourist routes in eco-scenic spots based on GIS
Abstract:
Aiming at the problem of low push precision and efficiency of traditional system, a global tourism route information push system based on GIS is designed. In order to improve the flexibility of information push system, the integrated control unit and processor unit are designed in the system hardware. In the system software design, the original GIS information data flow is obtained by processing the acquired information with GIS information processing software. By combining mobile client ID and collaborative filtering algorithm based on users and projects, the global tourism route information push of ecological scenic spots is realised. The experimental results show that the accuracy and efficiency of the system designed in this paper is much higher than that of the traditional system, and its push efficiency can reach up to 75%, and the push accuracy is high, which shows that the system has high application value.
Journal: Int. J. of Information Technology and Management
Pages: 46-62
Issue: 1
Volume: 21
Year: 2022
Keywords: GIS; eco-scenic spot; global tourism route; information push system.
File-URL: http://www.inderscience.com/link.php?id=121337
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Handle: RePEc:ids:ijitma:v:21:y:2022:i:1:p:46-62

Template-Type: ReDIF-Article 1.0
Author-Name: Xian Luo
Author-X-Name-First: Xian
Author-X-Name-Last: Luo
Author-Name: Rongtao Liao
Author-X-Name-First: Rongtao
Author-X-Name-Last: Liao
Author-Name: Yixi Wang
Author-X-Name-First: Yixi
Author-X-Name-Last: Wang
Author-Name: Wei Zhan
Author-X-Name-First: Wei
Author-X-Name-Last: Zhan
Title: Dynamic distribution and planning for traffic flow of the urban ecological road network based on blockchain technology
Abstract:
In order to overcome the problems of low planning efficiency and long traffic time existing in the traditional traffic flow dynamic distribution planning method, a new dynamic distribution planning method of urban ecological highway network traffic flow based on blockchain technology is proposed. The blockchain technology is used to store the traffic flow information of the urban ecological highway network, to construct the dynamic distribution planning model of the traffic flow of the highway network, to solve the dynamic planning model of the traffic flow of the urban ecological highway network by using the genetic algorithm, to obtain the dynamic planning results of the traffic flow, and to complete the dynamic distribution planning of the traffic flow of the urban ecological highway network. The experimental results show that the proposed method has high planning efficiency and short traffic time, and the shortest planning time is only 1.7 min.
Journal: Int. J. of Information Technology and Management
Pages: 63-79
Issue: 1
Volume: 21
Year: 2022
Keywords: block chain technology; urban ecological road network; traffic flow; distribution and planning.
File-URL: http://www.inderscience.com/link.php?id=121338
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Handle: RePEc:ids:ijitma:v:21:y:2022:i:1:p:63-79

Template-Type: ReDIF-Article 1.0
Author-Name: Zheng Xie
Author-X-Name-First: Zheng
Author-X-Name-Last: Xie
Author-Name: Xin Su
Author-X-Name-First: Xin
Author-X-Name-Last: Su
Title: A multi-terminal pushing method for emergency information in a smart city based on deep learning
Abstract:
In order to overcome the problems of large information identification error and high error rate in traditional emergency information push methods, a multi-terminal push method of emergency information in a smart city based on deep learning is proposed. The convolution neural network based on deep learning is used to identify the real-time collection results of intelligent city operation monitoring information, and the combination of softmax loss function and centre loss function is used to reduce the identification error. Through the process of retrieval, adaptation and detection of crisis cases, crisis types are determined and emergency decision-making is selected. Based on XMPP protocol, a multi-terminal push network of emergency information is constructed to push monitoring information and emergency decision to each push terminal. The experimental results show that the information recognition rate of the proposed method is higher than 99%, and the emergency information push result has high precision.
Journal: Int. J. of Information Technology and Management
Pages: 80-96
Issue: 1
Volume: 21
Year: 2022
Keywords: deep learning; smart city; emergency information; multi-terminal; push; case reasoning.
File-URL: http://www.inderscience.com/link.php?id=121339
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Handle: RePEc:ids:ijitma:v:21:y:2022:i:1:p:80-96

Template-Type: ReDIF-Article 1.0
Author-Name: Qian Liu
Author-X-Name-First: Qian
Author-X-Name-Last: Liu
Author-Name: Kim R. Thorup
Author-X-Name-First: Kim R.
Author-X-Name-Last: Thorup
Title: Intelligent control method of accounting information based on multi-objective evolution
Abstract:
In order to overcome the problems of poor control effect and high control cost of traditional intelligent control method for accounting information, this paper proposes a new intelligent control method for accounting information based on multi-objective evolution. This method introduces ERP system to deal with accounting information from general ledger, accounts receivable, accounts payable, fixed assets, cash, salary, financial statements, etc. On the basis of information data processing, information integration is realised, and further processing of accounting information data is carried out by using a wide-ranging processing program. Based on the obtained accounting information, the multi-objective evolutionary algorithm is used to construct the accounting information control system and achieve the intelligent control of accounting information. The experimental results show that the control effect of this method is superior, the control cost is low, and the highest control cost is only 120,000 yuan, which shows that this method has good practicability.
Journal: Int. J. of Information Technology and Management
Pages: 97-114
Issue: 1
Volume: 21
Year: 2022
Keywords: multi-objective evolution; accounting information; intelligent control; information integration.
File-URL: http://www.inderscience.com/link.php?id=121340
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Handle: RePEc:ids:ijitma:v:21:y:2022:i:1:p:97-114