Template-Type: ReDIF-Article 1.0 Author-Name: Rongting Sun Author-X-Name-First: Rongting Author-X-Name-Last: Sun Author-Name: Yiqun Guo Author-X-Name-First: Yiqun Author-X-Name-Last: Guo Title: Big data prediction method of traffic logistics demands based on regional differences Abstract: Aiming at the optimisation effect of traditional methods on logistics transportation, and the inaccurate prediction of logistics demand, this paper proposes a big data forecasting method for traffic logistics demand based on regional differences. Based on the regional differences, a linear statistical programming model for the prior data of traffic logistics demand data is established. On this basis, the association rule feature decomposition and average mutual information analysis are carried out for the traffic logistics demand big data. The BP fuzzy decision classification model is adopted for feature information clustering and information fusion processing of traffic logistics demand big data to optimise the big data prediction model. The simulation results show that the model has higher accuracy and better global convergence in the big data forecast of traffic logistics demand, which improves the overall forecasting ability, and the forecasting time is reduced by 12.8% compared with the traditional method. Journal: Int. J. of Information Technology and Management Pages: 221-233 Issue: 3 Volume: 20 Year: 2021 Keywords: regional difference; traffic logistics; big data prediction; fuzzy decision; linear planning model. File-URL: http://www.inderscience.com/link.php?id=116048 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijitma:v:20:y:2021:i:3:p:221-233 Template-Type: ReDIF-Article 1.0 Author-Name: Xiang-dong Chen Author-X-Name-First: Xiang-dong Author-X-Name-Last: Chen Author-Name: Gregory Kalra Author-X-Name-First: Gregory Author-X-Name-Last: Kalra Title: Research on regional spatial logistics information integration method based on big data Abstract: Aiming at the shortcomings of current regional spatial logistics, such as low efficiency of logistics resource utilisation, high cost of logistics transportation and slow speed of goods transportation, a regional spatial logistics information integration method based on large data is proposed. Firstly, the integration principle and process of regional spatial logistics information are described. Then, the logistics transportation route optimisation model is assumed. Finally, the integration of regional spatial logistics information is realised by using the logistics transportation route optimisation model with time windows. The experimental results show that the proposed regional spatial logistics information integration method can improve the utilisation efficiency of logistics resources, and the data consistency can reach 96.9%. When the number of goods is 10,000 the transportation cost of the proposed method is the lowest of 12,300 yuan, so the transportation time of the method is the shortest. Journal: Int. J. of Information Technology and Management Pages: 234-249 Issue: 3 Volume: 20 Year: 2021 Keywords: regional spatial logistics; information integration; path optimisation. File-URL: http://www.inderscience.com/link.php?id=116049 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijitma:v:20:y:2021:i:3:p:234-249 Template-Type: ReDIF-Article 1.0 Author-Name: Xinxian Qiu Author-X-Name-First: Xinxian Author-X-Name-Last: Qiu Title: Intelligent classification of logistics multi-distribution resources based on information fusion Abstract: Aiming at the problems of low recall rate and low precision of intelligent classification of logistics multi-distribution resources, an intelligent classification method of logistics multi-distribution resources based on information fusion is proposed. The discrete transformation of measurement equation and state equation is used to describe the state parameters of logistics distribution vehicles and roads. The state estimation component is used to estimate the state of logistics multi-distribution vehicles, and the state equation of logistics multi-distribution vehicles is obtained. The state error of multi-distribution vehicles is used to realise the intelligent classification of logistics multi-distribution resources. The experimental results show that this method has high recall rate and accuracy in intelligent classification of logistics multi-distribution resources, and can get more accurate classification results, at the same time it takes less time to classify resources, which is conducive to promoting the development of logistics distribution technology. Journal: Int. J. of Information Technology and Management Pages: 250-264 Issue: 3 Volume: 20 Year: 2021 Keywords: information fusion; logistics multi-distribution; resources; intelligent classification. File-URL: http://www.inderscience.com/link.php?id=116050 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijitma:v:20:y:2021:i:3:p:250-264 Template-Type: ReDIF-Article 1.0 Author-Name: Zhongmin Liu Author-X-Name-First: Zhongmin Author-X-Name-Last: Liu Author-Name: Jia Lyu Author-X-Name-First: Jia Author-X-Name-Last: Lyu Title: Research on routing optimisation of logistics distribution vehicle based on cloud model Abstract: Aiming at the problems of low efficiency and slow iteration convergence of existing distribution vehicle routing optimisation algorithms, a logistics distribution vehicle routing optimisation algorithm based on cloud model is proposed. Data are trained and learned using the deep belief network (DBN) model. According to label data and model training results set manually, the road condition of logistics distribution route is predicted. Combined with genetic algorithm and cloud model theory, the real-time solution and update of time-sharing weights of time-sharing weighted network paths are realised, and the global optimal solution is obtained. The experimental results show that compared with the existing algorithms, the logistics distribution time of the research algorithm varies in the range of 70 s-37 s, and the efficiency of logistics distribution is high. When the number of iterations is 1,000, the path length of this algorithm is 2,400 km, and the iteration convergence is fast. Journal: Int. J. of Information Technology and Management Pages: 265-281 Issue: 3 Volume: 20 Year: 2021 Keywords: cloud model; logistics and distribution; path optimisation. File-URL: http://www.inderscience.com/link.php?id=116051 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijitma:v:20:y:2021:i:3:p:265-281 Template-Type: ReDIF-Article 1.0 Author-Name: Wenlian Deng Author-X-Name-First: Wenlian Author-X-Name-Last: Deng Author-Name: Aida Maki Author-X-Name-First: Aida Author-X-Name-Last: Maki Title: Design of logistics transportation monitoring system based on GPS/DR combined positioning technology Abstract: At present, there are some problems in the research of logistics transportation monitoring, such as poor positioning accuracy, low actual loading rate and high cost. Therefore, a logistics transportation monitoring system based on GPS/DR integrated positioning technology is proposed. According to the actual needs of logistics transportation monitoring, the overall framework of the system is designed. The hardware of the system has the following functions: tracking, query, dispatching, monitoring centre, alarm of transportation tools and so on. The main process of the system operation is as follows: after receiving GPS/DR integrated positioning data, combined with other functional modules of the database, the transport status is displayed on the electronic map interface, and the positioning monitoring of logistics transportation is realised. The experimental results show that, compared with the current research results, the system has high positioning accuracy, high actual load rate, low transportation cost and high reliability. Journal: Int. J. of Information Technology and Management Pages: 282-298 Issue: 3 Volume: 20 Year: 2021 Keywords: GPS; DR; location technology; logistics and transportation; monitoring system. File-URL: http://www.inderscience.com/link.php?id=116052 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijitma:v:20:y:2021:i:3:p:282-298 Template-Type: ReDIF-Article 1.0 Author-Name: Lili Shao Author-X-Name-First: Lili Author-X-Name-Last: Shao Author-Name: Fuxian Huang Author-X-Name-First: Fuxian Author-X-Name-Last: Huang Author-Name: Yuzhen Yang Author-X-Name-First: Yuzhen Author-X-Name-Last: Yang Title: Design of logistics operation management algorithm based on information technology on internet Abstract: Aiming at the problems of slow convergence, high cost and low efficiency when ant colony algorithm is used to solve the distribution path optimisation problem in logistics operation management, a logistics operation management algorithm based on hybrid intelligent optimisation algorithm is proposed. Based on the establishment of the optimisation model and its constraints, the initial solution of the model was obtained by artificial fish swarm algorithm in the early stage, and the updating strategy of ant pheromone concentration was selected to improve the transition probability of ant state. In the later stage, the concept of crowding degree is introduced to improve the basic ant colony algorithm and improve the ability of ant colony optimisation. The optimal solution is obtained by analysing the parameters that affect the performance. The results show that the algorithm is superior to the basic ant colony algorithm in optimisation efficiency, convergence speed and distribution cost. Journal: Int. J. of Information Technology and Management Pages: 299-315 Issue: 3 Volume: 20 Year: 2021 Keywords: internet; information technology; logistics operation management; basic ant colony algorithm; artificial fish swarm algorithm. File-URL: http://www.inderscience.com/link.php?id=116053 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijitma:v:20:y:2021:i:3:p:299-315 Template-Type: ReDIF-Article 1.0 Author-Name: Hadia H. Abdel Aziz Author-X-Name-First: Hadia H. Abdel Author-X-Name-Last: Aziz Author-Name: Karim Hodeib Author-X-Name-First: Karim Author-X-Name-Last: Hodeib Title: Investigating the role of information technology in developing the learning organisation: empirical evidence from Egypt Abstract: Developing a learning organisation is associated with organisational growth and innovation as it enables the creation of a memory of knowledge and experiences that can be shared among all organisational members. The most important tool identified to build this memory is information technology knowledge management systems. However, despite their importance, their actual contribution to the development of the different dimensions of the learning organisation has rarely been studied. This research investigates the effect of using IT knowledge management tools on the development of the different dimensions of learning organisations through a pre-post quasi experiment conducted in an Egyptian organisation. Results indicate that the new IT system significantly improved all the dimensions of organisational learning except for degree of teamwork. It concludes that although IT systems facilitate the creation of the learning organisation, they must be implemented within an integrated change management system to be able to transfer a rigid organisation into a learning one. Journal: Int. J. of Information Technology and Management Pages: 424-435 Issue: 4 Volume: 20 Year: 2021 Keywords: learning organisation; organisational learning; information technology; knowledge management systems; Egypt. File-URL: http://www.inderscience.com/link.php?id=119893 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijitma:v:20:y:2021:i:4:p:424-435 Template-Type: ReDIF-Article 1.0 Author-Name: Chao-sheng Han Author-X-Name-First: Chao-sheng Author-X-Name-Last: Han Author-Name: Kim R. Thorup Author-X-Name-First: Kim R. Author-X-Name-Last: Thorup Title: Integrated equilibrium planning for emergency logistics warehouse allocation based on internet plus mode Abstract: The existing integrated planning methods of emergency logistics warehouse allocation have some problems, such as low service satisfaction of emergency logistics centre, high transportation cost of emergency materials and low transportation efficiency. Under the Internet+ mode, an integrated planning method for emergency logistics warehouse configuration is proposed. On the premise of service capacity constraints, operation cost constraints, land resource constraints and timeliness constraints, the cost and maximum service level are minimised as the objective function of integrated planning for emergency logistics warehouse allocation. Establish EME equilibrium planning model and logistics warehouse. The multi-objective equilibrium programming model of enterprise emergency logistics warehouse allocation is solved by genetic algorithm, and the optimal planning strategy to realise the integration of enterprise emergency logistics warehouse allocation is obtained. The experimental results show that this method can improve service level, reduce transportation cost and improve transportation efficiency. Journal: Int. J. of Information Technology and Management Pages: 316-334 Issue: 3 Volume: 20 Year: 2021 Keywords: internet plus mode; emergency logistics; balanced planning. File-URL: http://www.inderscience.com/link.php?id=116054 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijitma:v:20:y:2021:i:3:p:316-334 Template-Type: ReDIF-Article 1.0 Author-Name: Pedro Ramos Author-X-Name-First: Pedro Author-X-Name-Last: Ramos Author-Name: Luís Botelho Author-X-Name-First: Luís Author-X-Name-Last: Botelho Author-Name: António Gonçalves Martins Author-X-Name-First: António Gonçalves Author-X-Name-Last: Martins Title: Enhancing Excel business tools with additional relational and recursive capabilities Abstract: This paper presents a new plug-in that enriches spreadsheet capabilities mainly in what concerns it's potential regarding relational queries and recursive computational processes. Currently, some apparently trivial and useful queries can only be handled with the support of programming skills. Spreadsheet users with low computer science skills should have a natural and easy way to handle those queries within the spreadsheet, without relying on external programming (e.g., VBA). The tool we have developed can be used with Prolog technology and provides those features to the most used professional spreadsheet: Microsoft Excel. Throughout the paper, we explore the plug-in features with several business examples. Journal: Int. J. of Information Technology and Management Pages: 356-376 Issue: 4 Volume: 20 Year: 2021 Keywords: business tools; Excel; Prolog; recursive processing; relational data; deductive spreadsheet; information technology. File-URL: http://www.inderscience.com/link.php?id=119894 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijitma:v:20:y:2021:i:4:p:356-376 Template-Type: ReDIF-Article 1.0 Author-Name: Easwar Krishna Iyer Author-X-Name-First: Easwar Krishna Author-X-Name-Last: Iyer Author-Name: Sreehari Unnikrishnan Author-X-Name-First: Sreehari Author-X-Name-Last: Unnikrishnan Author-Name: Paul Philip Author-X-Name-First: Paul Author-X-Name-Last: Philip Author-Name: Mallika Sundarrajan Author-X-Name-First: Mallika Author-X-Name-Last: Sundarrajan Author-Name: Bharadhwaj Sivakumaran Author-X-Name-First: Bharadhwaj Author-X-Name-Last: Sivakumaran Title: Validation of cognitive inhibitors to technology adoption using content analysis Abstract: Inhibitors to technology play a crucial role in predicting eventual technology adoption. In the inhibitor space, studies have so far been limited to understanding affective inhibitors only. The central proposition of this paper is to identify two new cognitive inhibitor constructs. This study augments the existing body of knowledge in the area of technology acceptance behaviour by positing 'dissatisfiers' and 'risk' as two cognitive inhibitor constructs to technology adoption. The methodology used for validating the proposed model is content analysis (CA). The target technology chosen for validation is internet of things (IoT). The results obtained provide strong support for the proposed hypotheses thereby establishing dissatisfiers and risk as two new cognitive inhibitor constructs. Journal: Int. J. of Information Technology and Management Pages: 377-399 Issue: 4 Volume: 20 Year: 2021 Keywords: cognitive inhibitors; dissatisfiers; risk; content analysis; technology adoption model; TAM; internet of things; IoT. File-URL: http://www.inderscience.com/link.php?id=119895 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijitma:v:20:y:2021:i:4:p:377-399 Template-Type: ReDIF-Article 1.0 Author-Name: Dongback Seo Author-X-Name-First: Dongback Author-X-Name-Last: Seo Author-Name: Martin P. Bügel Author-X-Name-First: Martin P. Author-X-Name-Last: Bügel Title: Illusion of SNS influence: are popular SNS influential? Abstract: People influence each other in the environment of social networking sites (SNS). Some SNS have gained popularity. Practitioners and researchers assume that these popular SNS are influential. However, influence and popularity are two different concepts. This research aims to provide two clear concepts of influence and popularity as well as their relationship. Popularity is hypothesised that it is affected by elements in the surroundings (e.g. societal position of a SNS owner) of SNS based on a peripheral information processing mechanism, whereas influence is hypothesised that it is affected by core elements (e.g. quality of content on a SNS message) of SNS based on a central information processing mechanism. The results indicate that influence is solely affected by the central information processing mechanism, but popularity is affected by both central and peripheral information processing mechanisms. There is a relationship between influence and popularity but it is marginal. Therefore, it should not be assumed that popular SNS are influential and vice versa. Journal: Int. J. of Information Technology and Management Pages: 400-423 Issue: 4 Volume: 20 Year: 2021 Keywords: popularity; influence; SNS; micro-blog; Twitter; central information processing; peripheral information processing. File-URL: http://www.inderscience.com/link.php?id=119896 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijitma:v:20:y:2021:i:4:p:400-423 Template-Type: ReDIF-Article 1.0 Author-Name: Tove Bøe Author-X-Name-First: Tove Author-X-Name-Last: Bøe Author-Name: Boge Gulbrandsen Author-X-Name-First: Boge Author-X-Name-Last: Gulbrandsen Author-Name: Tom Roar Eikebrokk Author-X-Name-First: Tom Roar Author-X-Name-Last: Eikebrokk Title: Information systems continuance: the role of incentives and goal harmony Abstract: This paper extends information systems continuance theory (ISCT) and integrates it with a managerial perspective. Our study integrates principal-agent theory (PAT) to capture the managerial influence on users' continued use of information technology. We argue that the two theories offer complementary explanations, ameliorate each other's shortcomings, and enhance our ability to explain and predict IS continuance. As predicted by PAT, the study finds support for the effects of goal harmony and incentives on users' continuance decisions. Additionally, goal harmony reduces the positive relationship between incentives and continuance. While the supported ISCT model shows an explained variance of 37%, the full model explains 51% of the variance of the dependent variable, indicating that the integrative model is more powerful in explaining user continuance than is ISCT in isolation. The study advances the theoretical understanding of continued use of IS from both a personal and a managerial perspective and offers proposals for organisational actions. Journal: Int. J. of Information Technology and Management Pages: 335-355 Issue: 4 Volume: 20 Year: 2021 Keywords: information systems continuance theory; ISCT; agency theory; goal harmony; incentives. File-URL: http://www.inderscience.com/link.php?id=119897 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijitma:v:20:y:2021:i:4:p:335-355 Template-Type: ReDIF-Article 1.0 Author-Name: S. Remya Author-X-Name-First: S. Author-X-Name-Last: Remya Author-Name: R. Sasikala Author-X-Name-First: R. Author-X-Name-Last: Sasikala Title: Investigation and analysis on crowdsourcing for improving enterprise QoS Abstract: Crowdsourcing is treated as open contest for the crowd of people known as workers. All workers can contribute their suggestions and solutions to the platform. Crowdsourcing can connect a large number of people and they can share their knowledge. The amount of unstructured data is increasing now. This is where crowdsourcing can help bigdata by breaking down the data into mini chunks and have the power of crowd to do the organising task. This helps analytic companies to focus on the core aspect of infrastructure and security. It makes sense of the data and not invests resources in organising the data and this distributed environment can be solved intelligently. Here various crowdsourcing techniques in different aspects related to data pre-processing, performance approaches, security issues and applications are analysed. Out of these approaches the most efficient one in each are characterised. The survey helps to analyse the various issues in crowdsourcing and existing proposed solutions for improving the quality of workers. Journal: Int. J. of Information Technology and Management Pages: 21-48 Issue: 1/2 Volume: 20 Year: 2021 Keywords: crowdsourcing; bigdata; K-means; data pre-processing; quality control; enterprise. File-URL: http://www.inderscience.com/link.php?id=114153 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijitma:v:20:y:2021:i:1/2:p:21-48 Template-Type: ReDIF-Article 1.0 Author-Name: Mayqueen Attatsitsey Author-X-Name-First: Mayqueen Author-X-Name-Last: Attatsitsey Author-Name: Noble Osei-Bonsu Author-X-Name-First: Noble Author-X-Name-Last: Osei-Bonsu Title: Assessing the impact of information technology on human resource practices: evidence from organisations in Ghana Abstract: Information technology (IT) is universally regarded as an essential tool in enhancing the competitiveness of the economy of a country. There is consensus that IT has significant effects on the productivity of firms. This study focused on how modern information technology impacts on effectiveness and efficiency of HR practices. Human resource management (HRM) practitioners generally use IT in the form of a human resource information system (HRIS) for the purposes of decision-making in the field of HR. The main objective of this study was to examine the impact of IT on HR practices in organisations in Ghana. 100 organisations were purposively sampled for the study. The descriptive survey methodology was used. Data was collected using a self-designed questionnaire made up of closed and open-ended questions and statements. Results revealed organisations awareness and use of the various HR-related software, and despite the fact that these software programs are costly, they, at the same time, generate terrific benefits. Journal: Int. J. of Information Technology and Management Pages: 5-20 Issue: 1/2 Volume: 20 Year: 2021 Keywords: information technology; human resource; human resource information systems; HRIS; Ghana. File-URL: http://www.inderscience.com/link.php?id=114154 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijitma:v:20:y:2021:i:1/2:p:5-20 Template-Type: ReDIF-Article 1.0 Author-Name: P. Kalaimani Author-X-Name-First: P. Author-X-Name-Last: Kalaimani Author-Name: K. Mohana Sundaram Author-X-Name-First: K. Mohana Author-X-Name-Last: Sundaram Title: Congestion management with improved real power transfer using TCSC in 30 bus system Abstract: Secure operation and reliable utilisation of transmission lines is a challenging issue in deregulated power system. The scheduled power transactions are difficult due to the overloading of transmission lines in restructured power system as the electricity market has become more competitive. Due to congestion of transmission lines, the transfer of real power and the power system voltage profile are greatly affected in the power system. The aim of this research work is to increase the real power and the reactive power flowing in the lines of multibus system using thyristor controlled series compensator (TCSC). Real power transfer with reduced losses and improved voltage stability is an important factor in the present global scenario. This paper deals with the improvement of power flow in power transmission lines by series compensation device in 30 bus system with reduced congestion. The 30 bus system without and with thyristor controlled series compensation device (TCSC) is modelled and simulated and the results are presented. The simulation studies indicate a significant improvement in the real and the reactive power flow with the introduction of TCSC. The advantages of the proposed system include the smooth variations of the real and the reactive powers. Journal: Int. J. of Information Technology and Management Pages: 66-82 Issue: 1/2 Volume: 20 Year: 2021 Keywords: thyristor controlled series compensator; TCSC; congestion management; real power flow; voltage stability; available transfer capability. File-URL: http://www.inderscience.com/link.php?id=114155 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijitma:v:20:y:2021:i:1/2:p:66-82 Template-Type: ReDIF-Article 1.0 Author-Name: Vijayan Ellappan Author-X-Name-First: Vijayan Author-X-Name-Last: Ellappan Author-Name: R. Rajkumar Author-X-Name-First: R. Author-X-Name-Last: Rajkumar Title: Classification of cricket videos using finite state machines Abstract: The problem of classifying scenes from cricket video is addressed and a robust framework for this problem is proposed. It is proposed that the finite state machines (FSM) are suitable for detecting and classifying scenes and their usage is demonstrated for three types of events: wicket, six and four. This framework utilises the structural information of the scenes together with the low-level and mid-level features. Low-level features of the video including motion and audio energy, and a mid-level feature, body, are used in this approach. The transitions of the FSMs are determined by the features from each shot in the scene. The FSMs have been experimented on over 80 clips and convincing results have been achieved. Journal: Int. J. of Information Technology and Management Pages: 83-94 Issue: 1/2 Volume: 20 Year: 2021 Keywords: fine state machine; FSM. File-URL: http://www.inderscience.com/link.php?id=114156 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijitma:v:20:y:2021:i:1/2:p:83-94 Template-Type: ReDIF-Article 1.0 Author-Name: R. Geetha Ramani Author-X-Name-First: R. Geetha Author-X-Name-Last: Ramani Author-Name: Febronica Faustina Author-X-Name-First: Febronica Author-X-Name-Last: Faustina Author-Name: Shalika Siddique Author-X-Name-First: Shalika Author-X-Name-Last: Siddique Author-Name: K. Sivaselvi Author-X-Name-First: K. Author-X-Name-Last: Sivaselvi Title: Automatic brain tumour detection using image processing and data mining techniques Abstract: In recent days, extensive analysis on magnetic resonance imaging (MRI) is being performed to understand the complex structure of human brain. Generally, pathological regions in the brain are identified through various MRI acquisition techniques. Depending upon the MRI technique specific regions may be exhibited distinctly than the other brain regions. These images are analysed computationally to identify the abnormal regions. In this work, high grade glioma images are utilised to detect the tumour regions in the brain using image processing and data mining techniques. Broadly, the pixels are grouped into tumour and non-tumour pixels using unsupervised as well as supervised data mining methods. Further, the tumour pixels are classified into four classes namely, oedema, necrosis, enhancing tumour and non-enhancing tumour using supervised classification methods. K-means clustering could detect the pixel clusters with an accuracy of 94.64% whereas random forest classifier could identify the pixel classes 99.50% correctly. Random forest could achieve better results in multi-label classification of the tumour when compared to other classifiers. Journal: Int. J. of Information Technology and Management Pages: 49-65 Issue: 1/2 Volume: 20 Year: 2021 Keywords: image processing; data mining; clustering; classification; random forest; brain tumour detection. File-URL: http://www.inderscience.com/link.php?id=114157 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijitma:v:20:y:2021:i:1/2:p:49-65 Template-Type: ReDIF-Article 1.0 Author-Name: Xiaohui Tan Author-X-Name-First: Xiaohui Author-X-Name-Last: Tan Author-Name: Ruiliang Guo Author-X-Name-First: Ruiliang Author-X-Name-Last: Guo Title: An improved mean curvature-based bending model for cloth simulation Abstract: In cloth animation, the bending behaviour of a cloth is important for cloth simulation effects. The presentation of cloth bending properties plays a key role in cloth animation research because cloth is characterised by a strong resistance to stretch while weak resistance to bending. This paper proposed an improved approximate nonlinear bending model based on local geometric information. In the dynamic simulation, a cloth was divided into several regions according to mean curvature of surface. The bending force was updated according to the changes of the mean curvature in each region. Based on differential geometry and the dynamic simulation of the cloth, the calculation of bending force was simple and accurate with the proposed model. Experimental results show that wrinkles and folds generated in a natural way with the improved model and the efficiency of simulation is improved compared with the original algorithm. Journal: Int. J. of Information Technology and Management Pages: 95-109 Issue: 1/2 Volume: 20 Year: 2021 Keywords: bending model; cloth simulation; mean curvature; surface segmentation; nonlinear; bending force; region partition. File-URL: http://www.inderscience.com/link.php?id=114158 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijitma:v:20:y:2021:i:1/2:p:95-109 Template-Type: ReDIF-Article 1.0 Author-Name: C.V. Aravind Author-X-Name-First: C.V. Author-X-Name-Last: Aravind Author-Name: Yi Heng Ser Author-X-Name-First: Yi Heng Author-X-Name-Last: Ser Author-Name: Charles R. Sarimuthu Author-X-Name-First: Charles R. Author-X-Name-Last: Sarimuthu Author-Name: Ramani Kannan Author-X-Name-First: Ramani Author-X-Name-Last: Kannan Title: Frequency variations management in deregulated environment using intelligent controller Abstract: Information of the frequency variations is critical to restore the dynamics of power system network. In this paper a modified load frequency control method in the deregulated power system to restore back the frequency is proposed and analysed. The research is done using industry standard modelling tool and the frequency variations are investigated through the construction of the power system network. The distribution company participation matrix is used in the deregulated environment with number of generation company (GENCO) and distribution company (DISCO). Three types of controllers are applied to the proposed two-area system through load frequency control including the conventional and intelligent controllers. The deviation of the output frequency in each area and tie line exchange are studied. It is concluded that the modified load frequency control method using intelligent controller shows 10% improvement on the settling time and about 20% improvement on undershooting. Journal: Int. J. of Information Technology and Management Pages: 132-144 Issue: 1/2 Volume: 20 Year: 2021 Keywords: DISCO participation matrix; DPM; generation company; GENCO; distribution company; DISCO; load frequency control; LFC; multi-area power system; reliable grid; energy storage systems. File-URL: http://www.inderscience.com/link.php?id=114159 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijitma:v:20:y:2021:i:1/2:p:132-144 Template-Type: ReDIF-Article 1.0 Author-Name: K. Deepika Author-X-Name-First: K. Author-X-Name-Last: Deepika Author-Name: J. Usha Author-X-Name-First: J. Author-X-Name-Last: Usha Title: Automation of smart monitoring for person localisation and alerting network Abstract: My person localisation and alerting network (myPLAN) is an application for cautioning connections in deadlock situations. myPLAN is a mobile application (app) developed for Android enabled smartphone. The app invokes global positioning system (GPS) application programming interface (API) from the smartphone to retrieve the location data. The whereabouts of an individual are incorporated using GPS module and Wi-Fi networks that are embedded in the device. GPS and Wi-Fi sensors utilise triangulation techniques to pinpoint the exact location on the global map. The application involves in linking the entity with the known people. myPLAN app unlocks with a code. An individual can inform the associated people about the whereabouts in case of trouble. The person can alert the connections about the location and time via short message service (SMS) and e-mail with the entity details along with the location coordinates. Journal: Int. J. of Information Technology and Management Pages: 145-159 Issue: 1/2 Volume: 20 Year: 2021 Keywords: application; emergency; global positioning systems; GPSs; location; localisation; positioning; security; sensors. File-URL: http://www.inderscience.com/link.php?id=114160 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijitma:v:20:y:2021:i:1/2:p:145-159 Template-Type: ReDIF-Article 1.0 Author-Name: Maryam Zaffar Author-X-Name-First: Maryam Author-X-Name-Last: Zaffar Author-Name: Manzoor Ahmed Hashmani Author-X-Name-First: Manzoor Ahmed Author-X-Name-Last: Hashmani Author-Name: K.S. Savita Author-X-Name-First: K.S. Author-X-Name-Last: Savita Author-Name: Sameer Ahmad Khan Author-X-Name-First: Sameer Ahmad Author-X-Name-Last: Khan Title: A review on feature selection methods for improving the performance of classification in educational data mining Abstract: Educational data mining (EDM) evaluates and predicts students' performance that assists to discover important factors affecting students' academic performance and also guides educational managers to make appropriate decisions accordingly. The most common technique for discovering meaningful information from the educational database is classification. The accuracy of classification algorithms on educational data can be increased by applying feature selection algorithms. Feature selection algorithms help in selecting robots and meaningful features for predicting students' performance with high accuracy. This paper presents different EDM approaches for forecasting students' performance using different data mining techniques. In addition, this paper also presents an evaluation of recent classification algorithms and feature selection algorithms used in educational data mining. Furthermore, the paper will guide the researchers on new and possible dimensions in building a prediction model in EDM. Journal: Int. J. of Information Technology and Management Pages: 110-131 Issue: 1/2 Volume: 20 Year: 2021 Keywords: educational data mining; EDM; classification algorithms; feature selection in educational data mining; filter feature selection; wrapper feature selection. File-URL: http://www.inderscience.com/link.php?id=114161 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijitma:v:20:y:2021:i:1/2:p:110-131 Template-Type: ReDIF-Article 1.0 Author-Name: M. Suganthy Author-X-Name-First: M. Author-X-Name-Last: Suganthy Author-Name: S. Manjula Author-X-Name-First: S. Author-X-Name-Last: Manjula Title: Performance analysis of iris biometric system using GKPCA and SVM Abstract: Among all biometric technologies, iris recognition is the most accurate and high confidence authentication system. Due to the limitations in PCA-based system, modified principal component analysis (PCA)-based feature extraction is proposed in iris recognition system. In the proposed system, features are extracted using Gaussian kernel PCA (GKPCA) and classified using support vector machine (SVM). GKPCA and SVM algorithms are evaluated using CASIA V3 iris database. The performances are compared with the existing PCA-based system. The proposed system achieves 96.67% of accuracy for 256 features using GKPCA linear SVM. False acceptance rate (FAR) and false rejection rate (FRR) are 0 and 3 respectively for linear SVM. The results show that the proposed system performs accurate localisation of patterns even in non-ideal conditions. Journal: Int. J. of Information Technology and Management Pages: 207-216 Issue: 1/2 Volume: 20 Year: 2021 Keywords: Gaussian kernel principal component analysis; GKPCA; support vector machine; SVM; iris recognition; false acceptance rate; FAR. File-URL: http://www.inderscience.com/link.php?id=114162 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijitma:v:20:y:2021:i:1/2:p:207-216 Template-Type: ReDIF-Article 1.0 Author-Name: Aliza Sarlan Author-X-Name-First: Aliza Author-X-Name-Last: Sarlan Author-Name: Rohiza Ahmad Author-X-Name-First: Rohiza Author-X-Name-Last: Ahmad Author-Name: Wan Fatimah Wan Ahmad Author-X-Name-First: Wan Fatimah Wan Author-X-Name-Last: Ahmad Author-Name: Suci Astrini Author-X-Name-First: Suci Author-X-Name-Last: Astrini Title: Mobile application for children to learn hadith: 'Hidup Cara Rasullullah' Abstract: Informal learning for many people starts at home from the moment they were born until they die. Starting from as simple as learning Arabic alphabet, informal learning of Islamic context for children is a vital part in any Muslim child development. However, the platform for children to obtain informal learning within Islamic context is limited. The rapid development of emerging technologies for mobile devices has increased the possibility to exploit them for creation of Islamic context's application necessary for children's informal learning phase. As such, this project aims at developing a mobile application for android that enables children and parents to learn Islamic hadiths in an interactive and engaging manner called 'Hidup Cara Rasullullah'. User acceptance and usability testing results demonstrate an acceptable level of user acceptance and usability of the application. The mobile application is able to assist parents and teachers in promoting hadith learning among children in an informal learning environment. Journal: Int. J. of Information Technology and Management Pages: 160-177 Issue: 1/2 Volume: 20 Year: 2021 Keywords: mobile learning; children education; informal learning; Islamic education; hadith. File-URL: http://www.inderscience.com/link.php?id=114163 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijitma:v:20:y:2021:i:1/2:p:160-177 Template-Type: ReDIF-Article 1.0 Author-Name: D. Venkatesan Author-X-Name-First: D. Author-X-Name-Last: Venkatesan Author-Name: S. Sridhar Author-X-Name-First: S. Author-X-Name-Last: Sridhar Title: Promoting business-IT alignment through agent metaphor-based software technology Abstract: Business-IT alignment (BITA) addresses the nature of connection between business activities, enterprise architecture (EA) and software technology. Luftman's strategic alignment maturity model suggests usage of matured IT standards and approaches. This work examines improving IT approaches to EA modelling with an emphasis on improved CASE automation in EA practice. This work uses Zachman framework (ZF) as a representative EA technology and compares the capability of UML and agent oriented models to provide ZF grid cell models with various EA diagram kinds using criterion such as maintain the syntactic and semantic continuity across grid cell models of each columns of ZF. This work argues the 'agent oriented modelling' technology provides better business model aligned modelling taxonomy and model diagram kinds that improves maintainability and CASE automation in ZF leading to improved EA practice environment. Agent abstraction is also shown to satisfy the information requirements of manufacturing industry oriented ISO 19440/19439 standards. Journal: Int. J. of Information Technology and Management Pages: 178-206 Issue: 1/2 Volume: 20 Year: 2021 Keywords: enterprise architecture; enterprise architecture framework; EAF; business model alignment; business-IT alignment; BITA; model driven development; MDD; Zachman framework; ZF; enterprise integration; EI; information system design; agent-oriented software. File-URL: http://www.inderscience.com/link.php?id=114164 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijitma:v:20:y:2021:i:1/2:p:178-206