Template-Type: ReDIF-Article 1.0 Author-Name: Wei Zhao Author-X-Name-First: Wei Author-X-Name-Last: Zhao Author-Name: Feng Gao Author-X-Name-First: Feng Author-X-Name-Last: Gao Title: Fault-tolerant control method of fuzzy logic system based on decision tree algorithm Abstract: In order to improve the reconstruction effect of fault parameters in fault tolerant control process, a fuzzy logic system fault tolerant control method based on decision tree algorithm is proposed. The linear model of the system is constructed by decision tree algorithm, and the fault model is constructed by adding fault cases. Then the system fault is detected and the influence of different fault parameters on the system is judged. After designing the fault-tolerant controller of the system, the cooperative variable is used to compensate the fault parameters until the output value of the system is restored to the normal condition, so as to complete the fault-tolerant control. Experimental results show that the reconstruction curve of fault current is more consistent with the theoretical value, which proves that the method improves the accuracy of the reconstruction value of fault parameters and makes the system run more stably. Journal: Int. J. of Applied Systemic Studies Pages: 94-110 Issue: 2 Volume: 10 Year: 2023 Keywords: decision tree algorithm; fuzzy logic system; fault tolerant control; cooperative variable; parameter compensation. File-URL: http://www.inderscience.com/link.php?id=133892 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijassi:v:10:y:2023:i:2:p:94-110 Template-Type: ReDIF-Article 1.0 Author-Name: Fei Tang Author-X-Name-First: Fei Author-X-Name-Last: Tang Title: An e-commerce logistics service customer relationship management system based on RFM model Abstract: In order to solve the problems of traditional customer relationship management system of e-commerce logistics service, such as high transmission error, long running time and high packet loss rate, a customer relationship management system of e-commerce logistics service based on RFM model is proposed. This system mainly combines RFM model, dynamically displays all contour states of customer consumption behaviour from three aspects of purchase time, frequency and quantity, and obtains user classification rule table. The experimental results show that the transmission error of this system is 0.15%, the system running time is 0.1 s, and the packet loss rate is about 0.06, which is better than the comparison system and has great research value. Journal: Int. J. of Applied Systemic Studies Pages: 154-168 Issue: 2 Volume: 10 Year: 2023 Keywords: RFM model; e-commerce; logistics service; customer relationship management; CRM. File-URL: http://www.inderscience.com/link.php?id=133893 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijassi:v:10:y:2023:i:2:p:154-168 Template-Type: ReDIF-Article 1.0 Author-Name: Suhong Bi Author-X-Name-First: Suhong Author-X-Name-Last: Bi Title: Reliability analysis of the financial management auxiliary system of remote branches based on cloud computing Abstract: Aiming at the problem of low system reliability caused by poor recoverability and robustness of traditional remote branch financial management system nodes, a reliability analysis of remote branch financial management auxiliary system based on cloud computing is proposed. J2EE cross platform architecture is adopted to store a large amount of unstructured data in the cloud platform, and classify, retrieve and access control the data. The self immune recovery algorithm of fault data nodes based on cloud computing technology is used to calculate the delayed recovery degree of nodes, so as to improve the reliability of financial management auxiliary system. After experimental analysis, the system recovers nine fault nodes, which is highly consistent with the distribution of standard samples, and the robustness of the system remains above 95%. It can be seen that the financial management auxiliary function of the system designed in this paper has good reliability. Journal: Int. J. of Applied Systemic Studies Pages: 136-153 Issue: 2 Volume: 10 Year: 2023 Keywords: cloud computing; convolution function; financial management; self-immune recovery; failure node; reliability. File-URL: http://www.inderscience.com/link.php?id=133894 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijassi:v:10:y:2023:i:2:p:136-153 Template-Type: ReDIF-Article 1.0 Author-Name: Ermira Daka Author-X-Name-First: Ermira Author-X-Name-Last: Daka Title: Predicting code beauty with machine learning model Abstract: Software maintenance is one of the most expensive phases of the software development life cycle. This cost increases more when maintenance is performed on poorly written code. There exist a set of code writing patterns that developers need to follow to write good-looking code. However, coding that conforms to 'rules' is not always possible. During software evolution, code goes through different changes, which are the main reasons for breaking the rules of beautiful code. In this paper, we propose a machine learning (ML)-based model which will measure the beauty of a written code. The model built on a set of ten code-based features is learned using logic regression algorithm and is able to predict how beautiful is given peace of code. Furthermore, the model is evaluated using an empirical study, which shows that it has a moderate agreement with developers about the beauty of the code. Journal: Int. J. of Applied Systemic Studies Pages: 83-93 Issue: 2 Volume: 10 Year: 2023 Keywords: machine learning; code beauty; software maintenance. File-URL: http://www.inderscience.com/link.php?id=133898 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijassi:v:10:y:2023:i:2:p:83-93 Template-Type: ReDIF-Article 1.0 Author-Name: Diego de Magalhães Ozorio Author-X-Name-First: Diego de Magalhães Author-X-Name-Last: Ozorio Author-Name: Leandro Pereira Author-X-Name-First: Leandro Author-X-Name-Last: Pereira Author-Name: Rui Gonçalves Author-X-Name-First: Rui Author-X-Name-Last: Gonçalves Author-Name: Álvaro Dias Author-X-Name-First: Álvaro Author-X-Name-Last: Dias Author-Name: Renato Lopes da Costa Author-X-Name-First: Renato Lopes da Author-X-Name-Last: Costa Title: Risk investment heuristics: applied systemic review Abstract: Investments in projects are judged with rational mathematical parameters. Risky projects can build or destroy companies, careers and fortunes. Being able to fully rationalise the intelligence of the investment judgement seems unlikely. To a greater or lesser extent, cognition interferes with the judges' preference. But would it be possible to identify cognitive traits of the judges' intelligence when deciding on corporate investments? The article makes a systemic literature review of the field on the judgement of corporate investments. The revision suggests that there are gaps in theories about the judgement of corporate investments, which should be solved. Journal: Int. J. of Applied Systemic Studies Pages: 111-135 Issue: 2 Volume: 10 Year: 2023 Keywords: heuristics; bias; judgement; risk; investments. File-URL: http://www.inderscience.com/link.php?id=133911 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijassi:v:10:y:2023:i:2:p:111-135 Template-Type: ReDIF-Article 1.0 Author-Name: Pramod Kinker Author-X-Name-First: Pramod Author-X-Name-Last: Kinker Author-Name: Rakshit Kumar Singh Author-X-Name-First: Rakshit Kumar Author-X-Name-Last: Singh Author-Name: A.R. Singh Author-X-Name-First: A.R. Author-X-Name-Last: Singh Author-Name: Rajeev Jain Author-X-Name-First: Rajeev Author-X-Name-Last: Jain Title: An approach to evaluate service quality in polytechnic education institutes: a case study Abstract: The aims of the study are to identify and evaluate the quality of service perceived by students and teachers. Hypothesis have been formulated and tested to examine for service quality gaps in of polytechnic education institutes (PEIs) of Madhya Pradesh, India. A Kano methodology has been used to prioritise service quality factors. The SERVQUAL method has been used to identify the gap between service rendered and service as perceived by students and teachers. The hypothesis has been evaluated using statistical tools. It has been reported that there is significant difference between rendered service quality and expectations of students. There is a need of improvement in service quality factors such as academic excellence, library, infrastructure, career counselling, etc. Further, curriculum structure, physical entities, assessment, feedback and reward need to be improved to encourage more enrolment. The study may help polytechnic education planners, policymakers, practitioners, managers and administrators to improve the service quality in PEIs. The proposed study incorporates the expectations of students and teachers for improvement in service quality in PEIs. Journal: Int. J. of Applied Systemic Studies Pages: 16-43 Issue: 1 Volume: 10 Year: 2023 Keywords: polytechnic education institutes; PEIs; service quality factors; Kano model; SERVQUAL; hypothesis testing. File-URL: http://www.inderscience.com/link.php?id=129064 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijassi:v:10:y:2023:i:1:p:16-43 Template-Type: ReDIF-Article 1.0 Author-Name: Shilpa Sonawani Author-X-Name-First: Shilpa Author-X-Name-Last: Sonawani Author-Name: Kailas Patil Author-X-Name-First: Kailas Author-X-Name-Last: Patil Author-Name: Prabhu Natarajan Author-X-Name-First: Prabhu Author-X-Name-Last: Natarajan Title: Biomedical signal processing for health monitoring applications: a review Abstract: Biomedical health monitoring systems are evolving rapidly and using non-invasive and cost effective sensors. These systems can monitor physiological parameters of the body to monitor health conditions and provide feedback. These new generation systems can use advance technologies to build intelligent systems for health monitoring and timely diseases detection and diagnosis. Biomedical signal processing and analysis of the patterns in the signals plays important role in building efficient systems, life sciences and research and is rapidly expanding in this domain. This review paper is significant as no existing review paper is giving complete information on biomedical signal processing phases as a whole. It makes four contributions; first, it gives activity flow for developing biomedical signal processing systems. Second, reviews various recent applications researched and kinds of low cost, non-invasive sensors used for biomedical health monitoring. Third, categorisation and enlisting of signal processing techniques like signal sampling, segmentation, filtering, feature extraction, dimensionality reduction and machine learning techniques in healthcare domain. Fourth, it reviews challenges in using signal processing techniques and gives future perspectives which can be helpful for the researchers to use advance techniques to build intelligent systems for reliable decision making. Journal: Int. J. of Applied Systemic Studies Pages: 44-69 Issue: 1 Volume: 10 Year: 2023 Keywords: biomedical signal processing; signal pre-processing; biologicals signals; review. File-URL: http://www.inderscience.com/link.php?id=129065 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijassi:v:10:y:2023:i:1:p:44-69 Template-Type: ReDIF-Article 1.0 Author-Name: John Thanopoulos Author-X-Name-First: John Author-X-Name-Last: Thanopoulos Author-Name: Nikolaos Papazoglou Author-X-Name-First: Nikolaos Author-X-Name-Last: Papazoglou Author-Name: Despoina S. Caminis Author-X-Name-First: Despoina S. Author-X-Name-Last: Caminis Title: Managerial self-actualisation in the era of business intelligence Abstract: The new technological evolution has influenced the global business with the use and application of business intelligence tools that provide information accuracy and conformity to managerial decisions, leading to organisational efficiency and corporate performance. In the global business environment, there is a need of social awareness for the improvement of the human well-being. Managers need to create a knowledge base with the purpose to understand the needs of the global society. This paper aims to present literature insights, from both philosophical and IT dimension, proposing initial research undertakings that should enhance our understanding of the new managerial self-actualisation era. Thus, it is argued that corporate performance is a well-balanced combination between technological trends and human values based on the self-actualisation continuous managerial decision process. Journal: Int. J. of Applied Systemic Studies Pages: 70-82 Issue: 1 Volume: 10 Year: 2023 Keywords: business intelligence; self-actualisation; corporate performance global managers; decision-making; social intelligence; machine intelligence. File-URL: http://www.inderscience.com/link.php?id=129070 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijassi:v:10:y:2023:i:1:p:70-82 Template-Type: ReDIF-Article 1.0 Author-Name: Nita H. Shah Author-X-Name-First: Nita H. Author-X-Name-Last: Shah Author-Name: Ankush H. Suthar Author-X-Name-First: Ankush H. Author-X-Name-Last: Suthar Author-Name: Purvi M. Pandya Author-X-Name-First: Purvi M. Author-X-Name-Last: Pandya Title: Transmission of COVID-19 through asymptomatic individuals Abstract: The rapid emergence of the coronavirus disease 2019 (COVID-19) has already taken on pandemic proportions, resulting thousands of deaths around the world. In the present manuscript, a mathematical model is proposed to investigate the current outbreak of the COVID-19. The model includes multiple transmission pathways and emphasises the role of asymptomatic and symptomatic infected population in the spread of this disease. To predict upcoming situation and a detail analysis of the spread of COVID-19 outbreak, basic reproduction number is calculated using publicly reported data from three different countries, where the outbreak is at its peak (USA), initial level (India) and controlled up to certain level (Japan). Analytical and numerical results of the model indicate that current on-going outbreak of COVID-19 would remain endemic if we do not proceed with extreme vigilance due to the serious risk it poses around the globe. Journal: Int. J. of Applied Systemic Studies Pages: 1-15 Issue: 1 Volume: 10 Year: 2023 Keywords: COVID-19; asymptomatic transmission; mathematical model; basic reproduction number; numerical simulation. File-URL: http://www.inderscience.com/link.php?id=129073 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijassi:v:10:y:2023:i:1:p:1-15 Template-Type: ReDIF-Article 1.0 Author-Name: Qian Cao Author-X-Name-First: Qian Author-X-Name-Last: Cao Title: An enterprise financial data leakage risk prediction based on ARIMA-SVM combination model Abstract: Aiming at the problems of low prediction accuracy and long prediction time in traditional methods, an enterprise financial data leakage risk prediction method based on ARIMA-SVM combination model is proposed. According to the financial data security risks existing at all levels of the enterprise, the enterprise financial data leakage risk prediction index systemis built and the prediction indexes, including the two first-class indexes of application security and system security, the second-class indexes such as foreign cooperation security, and the third-class indexes such as the identification of sensitive data are obtained. Empirical mode decomposition is used to remove the noise data of prediction index, and the data after noise removal is input into ARIMA-SVM combination model, and the output of the model is the prediction result of data leakage risk. The simulation results show that the prediction accuracy of the proposed method is between 95%~100%, and the prediction time is within 16 s. Journal: Int. J. of Applied Systemic Studies Pages: 169-181 Issue: 3 Volume: 10 Year: 2023 Keywords: ARIMA-SVM combined model; enterprise financial data; risk of leakage; empirical mode decomposition method. File-URL: http://www.inderscience.com/link.php?id=134358 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijassi:v:10:y:2023:i:3:p:169-181 Template-Type: ReDIF-Article 1.0 Author-Name: S.P. Niranjan Author-X-Name-First: S.P. Author-X-Name-Last: Niranjan Author-Name: K. Indhira Author-X-Name-First: K. Author-X-Name-Last: Indhira Author-Name: V.M. Chandrasekaran Author-X-Name-First: V.M. Author-X-Name-Last: Chandrasekaran Title: Systematic analysis of an unreliable batch service retrial queueing system with two sort of vacation Abstract: This paper concentrates on bulk arrival and batch service retrial queueing system with server failure, two types of vacation and constant retrial rate. If an arrival of customers finds a server is free then batch service will be provided with minimum of one customers and maximum of 'b' customers. On the contrary, if the arrival of customers finds the server is busy then entire customers will join in the orbit to explore service again. After service completion, if there are no customers in the orbit then the server leaves for working vacation. During working vacation, the server provides service in lower service rate compared to regular service rate. In the working vacation completion, if the orbit size is zero then the server leaves for non-working vacation. The server may get failure in working period. If the server got failure with probability (<i>φ</i>) then the renewal of service station will be considered. On the other hand, if there is no breakdown and orbit is empty then the server leaves for working vacation with probability (1 - <i>φ</i>). For this designed queueing model probability generating function of the orbit size will be obtained. Various performance measures are also be derived with suitable numerical illustrations. Journal: Int. J. of Applied Systemic Studies Pages: 243-264 Issue: 3 Volume: 10 Year: 2023 Keywords: working vacation; non-working vacation; constant retrial rate; renewal time. File-URL: http://www.inderscience.com/link.php?id=134361 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijassi:v:10:y:2023:i:3:p:243-264 Template-Type: ReDIF-Article 1.0 Author-Name: Li Zhang Author-X-Name-First: Li Author-X-Name-Last: Zhang Title: Design of enterprise financial information fusion and sharing system based on blockchain technology Abstract: Aiming at the problems of large information fusion error and low sharing efficiency in the existing information fusion and sharing system, this paper designs a new enterprise financial information fusion and sharing system based on blockchain technology. The hardware part of the system uses the central controller containing ARM STM32F411 chip to upload the obtained financial information, and control the execution command, control program and so on. The software includes three modules of data collection, fusion and sharing. It mainly completes the cross-domain authentication of financial information by setting up the blockchain authorisation centre, so as to build the trust model of financial information sharing. The experiment shows that the system has a low error of financial information fusion, and effectively improves the efficiency of financial information sharing and the accuracy of data authentication. Journal: Int. J. of Applied Systemic Studies Pages: 194-204 Issue: 3 Volume: 10 Year: 2023 Keywords: blockchain technology; information fusion and sharing; central controller; authorisation centre; cross-domain authentication. File-URL: http://www.inderscience.com/link.php?id=134364 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijassi:v:10:y:2023:i:3:p:194-204 Template-Type: ReDIF-Article 1.0 Author-Name: Gangling Liu Author-X-Name-First: Gangling Author-X-Name-Last: Liu Title: Study on product configuration of touch human computer interaction based on feedback control Abstract: In order to solve the problems of long configuration time, low configuration accuracy and high energy consumption in the configuration process of traditional configuration system, a touch human-computer interactive product configuration system based on feedback control is designed. Based on the existing system hardware configuration, the system software is designed. According to the feedback control principle, the proportional integral controller is used to establish the feedback control model, and the results of feedback control variables are calculated. Based on the calculation results of feedback control variables, a human-computer interaction product configuration perception model is established. The experimental results show that the system configuration process takes an average of 6.8 s, the configuration accuracy is always more than 90%, and the minimum energy consumption is 76.18 dB, which fully proves the effectiveness of the touch human-computer interaction product configuration system based on feedback control. Journal: Int. J. of Applied Systemic Studies Pages: 182-193 Issue: 3 Volume: 10 Year: 2023 Keywords: touch-based human-computer interaction products; product configuration; feedback control; component class; attribute characteristics. File-URL: http://www.inderscience.com/link.php?id=134365 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijassi:v:10:y:2023:i:3:p:182-193 Template-Type: ReDIF-Article 1.0 Author-Name: Shanshan Li Author-X-Name-First: Shanshan Author-X-Name-Last: Li Author-Name: Dannan Lin Author-X-Name-First: Dannan Author-X-Name-Last: Lin Title: Early warning of financial statement data leakage risk based on grey fuzzy comprehensive evaluation Abstract: In order to improve the low accuracy of risk identification and early warning success rate of traditional data leakage risk early warning methods, this paper proposes a financial statement data leakage risk early warning method based on grey fuzzy comprehensive evaluation. Firstly, the grey fuzzy matrix and the set of risk identification factors are constructed. Secondly, according to the factor set constructed above, the weight of each factor is calculated, and the risk of data leakage of financial statements by using grey fuzzy comprehensive evaluation method is accurately identified. Finally, the least squares support vector mechanism is used to build the financial data report data leakage risk early warning function; the output result of the early warning function is the early warning result. The experimental results show that the risk identification accuracy of this method is high, and the average success rate of early warning is 99.07%. Journal: Int. J. of Applied Systemic Studies Pages: 232-242 Issue: 3 Volume: 10 Year: 2023 Keywords: grey fuzzy comprehensive evaluation; financial statement data; leakage risk warning. File-URL: http://www.inderscience.com/link.php?id=134366 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijassi:v:10:y:2023:i:3:p:232-242 Template-Type: ReDIF-Article 1.0 Author-Name: Yong Deng Author-X-Name-First: Yong Author-X-Name-Last: Deng Title: A multi-layer distributed power material allocation system based on intelligent optimal scheduling model Abstract: The traditional power material allocation system has the problems of long material distribution path and long material scheduling time. Therefore, a multi-layer distributed power material allocation system based on intelligent optimisation scheduling model is designed. In the hardware part, the material allocation decision-making module, scheduling data storage module, material transportation risk measurement module and material allocation path information acquisition module are designed. In the software part, the minimisation of material allocation time and the shortest transportation path are determined as the objective function, the intelligent optimisation scheduling model is established, and the genetic algorithm is used to solve the model to complete the power material allocation. The test results show that the deployment effect of this system is better and the deployment path is shorter, which is about 4 km shorter than the traditional method. Journal: Int. J. of Applied Systemic Studies Pages: 220-231 Issue: 3 Volume: 10 Year: 2023 Keywords: intelligent optimisation scheduling model; material allocation; risk measurement; genetic algorithm. File-URL: http://www.inderscience.com/link.php?id=134367 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijassi:v:10:y:2023:i:3:p:220-231 Template-Type: ReDIF-Article 1.0 Author-Name: Min Fu Author-X-Name-First: Min Author-X-Name-Last: Fu Title: The design of library resource personalised recommendation system based on deep belief network Abstract: Aiming at the problems of low accuracy and user satisfaction of traditional library resource recommendation system, this paper designs a library resource personalised recommendation system based on deep belief network. Firstly, the architecture of library resource personalised recommendation system is designed and real-time recommendation module is added. For the real-time recommendation module, the probability function of the best resource in the deep belief network is obtained by combining several limited Boltzmann machines and maximum likelihood principles. The bias value and weight of the visible layer and the hidden layer of the deep belief network are corrected by the contrast divergence method to make the recommendation result more accurate. The experimental results show that the recommendation accuracy of the system can reach more than 97%, the recall rate can reach 92.5%, and the user satisfaction is more than 94.8%, indicating that the system has effectively improved the recommendation effect. Journal: Int. J. of Applied Systemic Studies Pages: 205-219 Issue: 3 Volume: 10 Year: 2023 Keywords: deep belief network; limit Boltzmann machine; parameter modification; library resources; personalised recommendation. File-URL: http://www.inderscience.com/link.php?id=134370 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijassi:v:10:y:2023:i:3:p:205-219