Pub Date : 2018-03-23DOI: 10.1109/INFOCT.2018.8356861
Lichuan Liu, Yang Li, Kevin Kuo
The cry signals generated by infants serves as the primary communication for infants. Cry signals can provide insight into their wellbeing. This paper proposes to use the speech signal identification technique to recognize infant cry signals. Advanced signal processing methods are used to analyze the infant cry by using audio features in the time and frequency domains in an attempt to classify each cry to a specific need. The features extracted from audio feature space include linear predictive coding (LPC), linear predictive cepstral coefficients (LPCC), Bark frequency cepstral coefficients (BFCC) and Mel frequency cepstral coefficients (MFCC). The primary classification technique used were: nearest neighbor approach, neural networks method. The cry recognition of specific infants yielded promising results.
{"title":"Infant cry signal detection, pattern extraction and recognition","authors":"Lichuan Liu, Yang Li, Kevin Kuo","doi":"10.1109/INFOCT.2018.8356861","DOIUrl":"https://doi.org/10.1109/INFOCT.2018.8356861","url":null,"abstract":"The cry signals generated by infants serves as the primary communication for infants. Cry signals can provide insight into their wellbeing. This paper proposes to use the speech signal identification technique to recognize infant cry signals. Advanced signal processing methods are used to analyze the infant cry by using audio features in the time and frequency domains in an attempt to classify each cry to a specific need. The features extracted from audio feature space include linear predictive coding (LPC), linear predictive cepstral coefficients (LPCC), Bark frequency cepstral coefficients (BFCC) and Mel frequency cepstral coefficients (MFCC). The primary classification technique used were: nearest neighbor approach, neural networks method. The cry recognition of specific infants yielded promising results.","PeriodicalId":376443,"journal":{"name":"2018 International Conference on Information and Computer Technologies (ICICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134106725","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-03-23DOI: 10.1109/INFOCT.2018.8356833
Ismail Almuniri, A. Said
Advancement of the pedagogical education systems is imperative for any country. The education systems in Sultanate of Oman have come a long way in the processes of improving the quality of education provided to students from the primary school until the university. Like any system, the education system generates a huge amount of data related to all the stakeholders involve in the education process. However, this data is still untapped and it is considered very important to enhance the quality of education. The objective of this study is to predict the performance of schools based on educational data set. Several classification algorithms were employed to achieve the goal of the paper and the result shows a high accuracy for the generated models.
{"title":"Predicting the performance of school: Case study in Sultanate of Oman","authors":"Ismail Almuniri, A. Said","doi":"10.1109/INFOCT.2018.8356833","DOIUrl":"https://doi.org/10.1109/INFOCT.2018.8356833","url":null,"abstract":"Advancement of the pedagogical education systems is imperative for any country. The education systems in Sultanate of Oman have come a long way in the processes of improving the quality of education provided to students from the primary school until the university. Like any system, the education system generates a huge amount of data related to all the stakeholders involve in the education process. However, this data is still untapped and it is considered very important to enhance the quality of education. The objective of this study is to predict the performance of schools based on educational data set. Several classification algorithms were employed to achieve the goal of the paper and the result shows a high accuracy for the generated models.","PeriodicalId":376443,"journal":{"name":"2018 International Conference on Information and Computer Technologies (ICICT)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128761037","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-03-23DOI: 10.1109/INFOCT.2018.8356840
Yue Zhang, Huimin Liu, Dongliang Chen, Pin Xu
Line rendering is an important issue in the field of Non-Photorealistic Rendering. How to use lines to describe the features of 3D models properly has long been a challenging goal for researchers, especially when some artistic rules have to be obeyed. In this article, a new method has been proposed for illustrating loose line style. We proposed a mathematical model according to the features of loose lines, our main work focus on three aspects as follows: silhouette artistic thickness performance, silhouette loose style display, and the temporal coherence of line texture performance.
{"title":"Stylized line rendering for three-dimensional models","authors":"Yue Zhang, Huimin Liu, Dongliang Chen, Pin Xu","doi":"10.1109/INFOCT.2018.8356840","DOIUrl":"https://doi.org/10.1109/INFOCT.2018.8356840","url":null,"abstract":"Line rendering is an important issue in the field of Non-Photorealistic Rendering. How to use lines to describe the features of 3D models properly has long been a challenging goal for researchers, especially when some artistic rules have to be obeyed. In this article, a new method has been proposed for illustrating loose line style. We proposed a mathematical model according to the features of loose lines, our main work focus on three aspects as follows: silhouette artistic thickness performance, silhouette loose style display, and the temporal coherence of line texture performance.","PeriodicalId":376443,"journal":{"name":"2018 International Conference on Information and Computer Technologies (ICICT)","volume":"437 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123579857","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-03-23DOI: 10.1109/INFOCT.2018.8356838
S. Al-Fedaghi, Mahmoud BehBehani
This paper describes modeling of banking processes provided by information technology (IT) services by capturing and conceptually describing the processes in a holistic manner to facilitate understanding by the IT organization. Banks have found that streamlining processes across organizational units, products, customers, and even geographies leads to real savings while improving ratio of cost to savings. A process refers to a series of activities, each of which is activated as a result of triggers occurring within its network. Currently, diagramming languages such as UML and PBMN are used in this context. This paper applies a new representation method based on the notion of flow of things. The result indicates a viable approach to representing bank processes in an integrated manner.
{"title":"Modeling banking processes","authors":"S. Al-Fedaghi, Mahmoud BehBehani","doi":"10.1109/INFOCT.2018.8356838","DOIUrl":"https://doi.org/10.1109/INFOCT.2018.8356838","url":null,"abstract":"This paper describes modeling of banking processes provided by information technology (IT) services by capturing and conceptually describing the processes in a holistic manner to facilitate understanding by the IT organization. Banks have found that streamlining processes across organizational units, products, customers, and even geographies leads to real savings while improving ratio of cost to savings. A process refers to a series of activities, each of which is activated as a result of triggers occurring within its network. Currently, diagramming languages such as UML and PBMN are used in this context. This paper applies a new representation method based on the notion of flow of things. The result indicates a viable approach to representing bank processes in an integrated manner.","PeriodicalId":376443,"journal":{"name":"2018 International Conference on Information and Computer Technologies (ICICT)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114962345","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-03-23DOI: 10.1109/INFOCT.2018.8356853
Anand Bodas, Bhargav Upadhyay, Chetan H. Nadiger, Sherine Abdelhak
Good progress has been shown recently in the area of active learning, specifically, Reinforcement learning (RL). In this paper, the authors show how RL can be used to personalize games based on user-interaction with the game. The work uses Deep Q network models (DQN) and the open source framework OpenAI to build an RL model that is able to optimize the gamer's engagement level in a game. The authors define an example quantitative measure of gamer engagement and incorporate that into the DQN learning reward function. The gamer experience optimization is empirically demonstrated using a game of Pong. Simulation testing and analysis of results indicate adapted RL models increase engagement reward values, thus enhancing gamer experience. The contribution of this paper is twofold: (1) using RL, it paves the path for wider adaptation to user-behavior, starting with gaming, and (2) it shows analysis and feasibility of an RL algorithm on an edge device (Personal Computer) in real-time.
{"title":"Reinforcement learning for game personalization on edge devices","authors":"Anand Bodas, Bhargav Upadhyay, Chetan H. Nadiger, Sherine Abdelhak","doi":"10.1109/INFOCT.2018.8356853","DOIUrl":"https://doi.org/10.1109/INFOCT.2018.8356853","url":null,"abstract":"Good progress has been shown recently in the area of active learning, specifically, Reinforcement learning (RL). In this paper, the authors show how RL can be used to personalize games based on user-interaction with the game. The work uses Deep Q network models (DQN) and the open source framework OpenAI to build an RL model that is able to optimize the gamer's engagement level in a game. The authors define an example quantitative measure of gamer engagement and incorporate that into the DQN learning reward function. The gamer experience optimization is empirically demonstrated using a game of Pong. Simulation testing and analysis of results indicate adapted RL models increase engagement reward values, thus enhancing gamer experience. The contribution of this paper is twofold: (1) using RL, it paves the path for wider adaptation to user-behavior, starting with gaming, and (2) it shows analysis and feasibility of an RL algorithm on an edge device (Personal Computer) in real-time.","PeriodicalId":376443,"journal":{"name":"2018 International Conference on Information and Computer Technologies (ICICT)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121430267","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-03-23DOI: 10.1109/INFOCT.2018.8356834
Junfei Wang, D. Bagul, Jun Chu, Lu Meng, S. Srihari
A Point of Interest(POI) is a location that one may find useful or interesting. POI recommendation is a key feature in location-based social networks (LBSNs). With the development of mobile devices and apps, POI recommendation becomes a very popular topic and it includes humongous data. Current models always suffer from the problem of data sparsity. In this paper we propose a novel transfer learning model to learn affinity between the time and places, and use the mined features to improve the performance of a content-based POI recommendation system. In particular, we use check-in data to learn latent vectors for time and place category features by non-negative matrix factorization. Then, the mined densely embedded features are input to a gradient boosting decision tree (GBDT) based pairwise scoring model, which is trained by the check-in data of another city, to do POI recommendation. We conduct our experiment on the Foursquare check-in dataset, and discover that the learned latent vectors can dramatically improve the performance of a POI recommendation system.
{"title":"Mining place-time affinity to improve POI recommendation","authors":"Junfei Wang, D. Bagul, Jun Chu, Lu Meng, S. Srihari","doi":"10.1109/INFOCT.2018.8356834","DOIUrl":"https://doi.org/10.1109/INFOCT.2018.8356834","url":null,"abstract":"A Point of Interest(POI) is a location that one may find useful or interesting. POI recommendation is a key feature in location-based social networks (LBSNs). With the development of mobile devices and apps, POI recommendation becomes a very popular topic and it includes humongous data. Current models always suffer from the problem of data sparsity. In this paper we propose a novel transfer learning model to learn affinity between the time and places, and use the mined features to improve the performance of a content-based POI recommendation system. In particular, we use check-in data to learn latent vectors for time and place category features by non-negative matrix factorization. Then, the mined densely embedded features are input to a gradient boosting decision tree (GBDT) based pairwise scoring model, which is trained by the check-in data of another city, to do POI recommendation. We conduct our experiment on the Foursquare check-in dataset, and discover that the learned latent vectors can dramatically improve the performance of a POI recommendation system.","PeriodicalId":376443,"journal":{"name":"2018 International Conference on Information and Computer Technologies (ICICT)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131895003","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-03-23DOI: 10.1109/INFOCT.2018.8356839
Waraporn Viyanon, S. Sasananan
At present common problems in interior design involve in many aspects such as customer's satisfaction not met, understanding mismatch between designers and customers since they are not on the same page. Therefore, we aim to develop a VR application for interior decoration in order to let customers decorate a virtual room according to their preferences and be able to share the image of their design to the designer and evaluate usability of the application. The principle of the application is to simulate the Virtual Reality (VR) via Oculus Rift CV1 cooperating a Leap Motion controller, a hand movement and gesture detection device which help users easily design, arrange, and move 3D objects (furniture) in the virtual environment. There are three main functionalities of the application. First, creating a floor plan to define an interior design area. Second, placing the furniture on the scene, which they cannot be overlapped. Third, user movement can be done by the virtual joystick controlled by hand movement. When the design is not complete, the user can save his/her work in XML format in order to work on the design later. Once the design is finished, the user can capture a bird's eye view of the work for better understanding between designers and customers. The performance evaluation of the application can be categorized into two groups: 1) Quantitative method: by assigning tasks to the tester users in order to evaluate the application in learnability aspect. 2) Qualitative method: using Bipolar Laddering (BLA), a participatory subjective exploration method on user experience, to find strengths and weaknesses of the application. The result of the evaluation shows that the average score of learnability is 4.58 out of 5.0 which means that the users would be able to create a floor plan and place furniture as they wish easily on the scene. The application gives the users more realistic view, and the design output can be used in the real world.
{"title":"Usability and performance of the leap motion controller and oculus rift for interior decoration","authors":"Waraporn Viyanon, S. Sasananan","doi":"10.1109/INFOCT.2018.8356839","DOIUrl":"https://doi.org/10.1109/INFOCT.2018.8356839","url":null,"abstract":"At present common problems in interior design involve in many aspects such as customer's satisfaction not met, understanding mismatch between designers and customers since they are not on the same page. Therefore, we aim to develop a VR application for interior decoration in order to let customers decorate a virtual room according to their preferences and be able to share the image of their design to the designer and evaluate usability of the application. The principle of the application is to simulate the Virtual Reality (VR) via Oculus Rift CV1 cooperating a Leap Motion controller, a hand movement and gesture detection device which help users easily design, arrange, and move 3D objects (furniture) in the virtual environment. There are three main functionalities of the application. First, creating a floor plan to define an interior design area. Second, placing the furniture on the scene, which they cannot be overlapped. Third, user movement can be done by the virtual joystick controlled by hand movement. When the design is not complete, the user can save his/her work in XML format in order to work on the design later. Once the design is finished, the user can capture a bird's eye view of the work for better understanding between designers and customers. The performance evaluation of the application can be categorized into two groups: 1) Quantitative method: by assigning tasks to the tester users in order to evaluate the application in learnability aspect. 2) Qualitative method: using Bipolar Laddering (BLA), a participatory subjective exploration method on user experience, to find strengths and weaknesses of the application. The result of the evaluation shows that the average score of learnability is 4.58 out of 5.0 which means that the users would be able to create a floor plan and place furniture as they wish easily on the scene. The application gives the users more realistic view, and the design output can be used in the real world.","PeriodicalId":376443,"journal":{"name":"2018 International Conference on Information and Computer Technologies (ICICT)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129822197","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-03-01DOI: 10.1109/INFOCT.2018.8356851
M. S. Raimundo, J. Okamoto
There is a necessity to anticipate and identify changes in events points to a new direction in the stock exchange markets in line with the analysis of the oscillations of prices of financial assets. This need leads to argue about new alternatives in the prediction of financial time series using machine learning methods. This paper aims to describe the development of the SVR-wavelet model, an adaptive and hybrid prediction model, which integrates wavelet models and Support Vector Regression (SVR), for prediction of financial time series, particularly applied to Foreign Exchange Market (FOREX), obtained from a public knowledge base. The method consists of using the Discrete Wavelets Transform (DWT) to decompose data from FOREX time series, that are used as SVR input variables to predict new data. The adjusted series are compared with traditional models such as ARIMA and ARFIMA Model. In Addition, statistical tests like normality and unit root are performed to prove that the series in question have non-linear distribution and also to verify the level of correlation between the periods of the series.
{"title":"SVR-wavelet adaptive model for forecasting financial time series","authors":"M. S. Raimundo, J. Okamoto","doi":"10.1109/INFOCT.2018.8356851","DOIUrl":"https://doi.org/10.1109/INFOCT.2018.8356851","url":null,"abstract":"There is a necessity to anticipate and identify changes in events points to a new direction in the stock exchange markets in line with the analysis of the oscillations of prices of financial assets. This need leads to argue about new alternatives in the prediction of financial time series using machine learning methods. This paper aims to describe the development of the SVR-wavelet model, an adaptive and hybrid prediction model, which integrates wavelet models and Support Vector Regression (SVR), for prediction of financial time series, particularly applied to Foreign Exchange Market (FOREX), obtained from a public knowledge base. The method consists of using the Discrete Wavelets Transform (DWT) to decompose data from FOREX time series, that are used as SVR input variables to predict new data. The adjusted series are compared with traditional models such as ARIMA and ARFIMA Model. In Addition, statistical tests like normality and unit root are performed to prove that the series in question have non-linear distribution and also to verify the level of correlation between the periods of the series.","PeriodicalId":376443,"journal":{"name":"2018 International Conference on Information and Computer Technologies (ICICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116876229","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-03-01DOI: 10.1109/INFOCT.2018.8356837
Guotai-Ding, Haihe-Shi
As the development of computer technology and the rapid reduction of hardware cost, lots of computer systems which have complex constructions or powerful functions are used in every key areas far and wide. The study of software reliability models will becomes more and more important and useful in the future. The paper introduces the definitions and theoretical foundations of one-dimensional and many dimensional Random Walks. After analyzing and comparing other relevant models, we put forward a software reliability model based on Random Walks. However, Random Walks is a kind of hardly predictable random behavior. The distance of Random Walks is only related to times and is in direct proportion to the square root of times without a certain direction. So there is less factors influenced the model and the model doesn't need high-quality conditions. The advantages of this model are that the test cases from this model can be used for a long time to save time, the model is simpler than others, the cost is low and the results are more reliability.
{"title":"A new method of software reliability models","authors":"Guotai-Ding, Haihe-Shi","doi":"10.1109/INFOCT.2018.8356837","DOIUrl":"https://doi.org/10.1109/INFOCT.2018.8356837","url":null,"abstract":"As the development of computer technology and the rapid reduction of hardware cost, lots of computer systems which have complex constructions or powerful functions are used in every key areas far and wide. The study of software reliability models will becomes more and more important and useful in the future. The paper introduces the definitions and theoretical foundations of one-dimensional and many dimensional Random Walks. After analyzing and comparing other relevant models, we put forward a software reliability model based on Random Walks. However, Random Walks is a kind of hardly predictable random behavior. The distance of Random Walks is only related to times and is in direct proportion to the square root of times without a certain direction. So there is less factors influenced the model and the model doesn't need high-quality conditions. The advantages of this model are that the test cases from this model can be used for a long time to save time, the model is simpler than others, the cost is low and the results are more reliability.","PeriodicalId":376443,"journal":{"name":"2018 International Conference on Information and Computer Technologies (ICICT)","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129468315","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-03-01DOI: 10.1109/INFOCT.2018.8356841
Pita Jarupunphol, W. Buathong, Tanagrit Chansaeng, Nasith Laosen
This research aimed to design a mobile application for smart kitchen management (SKM) for reducing the number of purchased kitchen items/ingredients derived from ignorant and unorganised behaviour. The UML (Unified Modeling Language) and Z schemata were used in a design process to represent discourses associated with the system. The logical arguments defined in the SKM state schema and operation schema enforce essential rules regarding how the SKM should be designed. The SKM was also experimented with 180 participants, who were required to answer the questionnaire comprising question items adapted from USE Questionnaire for measuring four usability dimensions of the SKM (i.e., usefulness, ease of use, ease of learning, and satisfaction). The experimental results showed that the application could function properly and had potential to address the number of unnecessary purchases of kitchen items/ingredients and also prioritised the importance of such items/ingredients. The participants were satisfied with the application and perceived that the application was easy to use and useful for kitchen management allowing them to prepare a list of ‘to be purchased’ items/ingredients more efficiently.
{"title":"A descriptive design for a smart kitchen management application (SKM)","authors":"Pita Jarupunphol, W. Buathong, Tanagrit Chansaeng, Nasith Laosen","doi":"10.1109/INFOCT.2018.8356841","DOIUrl":"https://doi.org/10.1109/INFOCT.2018.8356841","url":null,"abstract":"This research aimed to design a mobile application for smart kitchen management (SKM) for reducing the number of purchased kitchen items/ingredients derived from ignorant and unorganised behaviour. The UML (Unified Modeling Language) and Z schemata were used in a design process to represent discourses associated with the system. The logical arguments defined in the SKM state schema and operation schema enforce essential rules regarding how the SKM should be designed. The SKM was also experimented with 180 participants, who were required to answer the questionnaire comprising question items adapted from USE Questionnaire for measuring four usability dimensions of the SKM (i.e., usefulness, ease of use, ease of learning, and satisfaction). The experimental results showed that the application could function properly and had potential to address the number of unnecessary purchases of kitchen items/ingredients and also prioritised the importance of such items/ingredients. The participants were satisfied with the application and perceived that the application was easy to use and useful for kitchen management allowing them to prepare a list of ‘to be purchased’ items/ingredients more efficiently.","PeriodicalId":376443,"journal":{"name":"2018 International Conference on Information and Computer Technologies (ICICT)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130387261","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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