With the improvement of environmental awareness, one-way electric vehicle sharing systems with stations are gradually known. Vehicle rebalance and station expansion are the two things that system operators care most about. In this paper, we study the problem of forecasting travel demand, which can be used to infer the place to deploy new station and provide suggestions for vehicles scheduling. As an attempt to make use of both spatial and temporal features, we propose a spatio-temporal network based on Convolutional Long Short-Term Memory (ConvLSTM) to predict traveling demand in an area without historical travel records. Convolution networks make sure that when demand in an area is predicted, geographical features of its neighborhoods will also be considered. With LSTM, demand will be treated as time series. Therefore, temporal associations are also considered. Our network improves the prediction accuracy which has been corroborated through experiments on real-life data conducted with other regression methods. In addition, it can be observed from prediction curves, that trend of curve predicted by our method is closer to the real curve. Our work provides a travel demand predicting solution with commercial potential that helps to make business decisions.
{"title":"A Spatio-temporal Network for Demand Prediction of Electric Vehicle Sharing Systems","authors":"Qingya Zhou, Hongming Zhu, Yi Luo, Qin Liu","doi":"10.1145/3379310.3379319","DOIUrl":"https://doi.org/10.1145/3379310.3379319","url":null,"abstract":"With the improvement of environmental awareness, one-way electric vehicle sharing systems with stations are gradually known. Vehicle rebalance and station expansion are the two things that system operators care most about. In this paper, we study the problem of forecasting travel demand, which can be used to infer the place to deploy new station and provide suggestions for vehicles scheduling. As an attempt to make use of both spatial and temporal features, we propose a spatio-temporal network based on Convolutional Long Short-Term Memory (ConvLSTM) to predict traveling demand in an area without historical travel records. Convolution networks make sure that when demand in an area is predicted, geographical features of its neighborhoods will also be considered. With LSTM, demand will be treated as time series. Therefore, temporal associations are also considered. Our network improves the prediction accuracy which has been corroborated through experiments on real-life data conducted with other regression methods. In addition, it can be observed from prediction curves, that trend of curve predicted by our method is closer to the real curve. Our work provides a travel demand predicting solution with commercial potential that helps to make business decisions.","PeriodicalId":348326,"journal":{"name":"Proceedings of the 2020 2nd Asia Pacific Information Technology Conference","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127990112","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}
Yuki Alqadri, E. K. Budiardjo, Alex Ferdinansyah, M. F. Rokhman
Refer to CMMI-Institute Appraisal result, there are 6 (six) companies in Indonesia that have achieved CMMI-Dev v1.3 maturity level 3, one of them is XYZ Corporation. Initially, XYZ Corporation has set a target to achieve CMMI-Dev level 2. As advised by the consultant, XYZ Corporation has a possibility to achieve level 3 by completing several parts of level 3 requirements that had not been met yet. XYZ Corporation faced a significant problem in progress implementation, particularly in documents standardization. This is due to each division has a different document format. XYZ Corporation also needs to improve its current processes that are still in ongoing phase of improvement process to achieve better standardized. This research aims to find out "The factors that affects the success of CMMI-Dev implementation based on its Current Conditions of XYZ Corporation". The approach of this research in finding the factors that influence the implementation of CMMI-Dev by means Qualitative and Quantitative approach. A qualitative method, by means of questionnaires, is used to prioritize the main factor. A quantitative method is used to get ranking of the factors that affecting successfulness of CMMI-Dev implementation in which has been validated by questionnaire's results. This research finding expects that the factors could be applied by other companies which desire to implement CMMI-Dev.
{"title":"The CMMI-Dev Implementation Factors for Software Quality Improvement: A Case of XYZ Corporation","authors":"Yuki Alqadri, E. K. Budiardjo, Alex Ferdinansyah, M. F. Rokhman","doi":"10.1145/3379310.3379327","DOIUrl":"https://doi.org/10.1145/3379310.3379327","url":null,"abstract":"Refer to CMMI-Institute Appraisal result, there are 6 (six) companies in Indonesia that have achieved CMMI-Dev v1.3 maturity level 3, one of them is XYZ Corporation. Initially, XYZ Corporation has set a target to achieve CMMI-Dev level 2. As advised by the consultant, XYZ Corporation has a possibility to achieve level 3 by completing several parts of level 3 requirements that had not been met yet. XYZ Corporation faced a significant problem in progress implementation, particularly in documents standardization. This is due to each division has a different document format. XYZ Corporation also needs to improve its current processes that are still in ongoing phase of improvement process to achieve better standardized. This research aims to find out \"The factors that affects the success of CMMI-Dev implementation based on its Current Conditions of XYZ Corporation\". The approach of this research in finding the factors that influence the implementation of CMMI-Dev by means Qualitative and Quantitative approach. A qualitative method, by means of questionnaires, is used to prioritize the main factor. A quantitative method is used to get ranking of the factors that affecting successfulness of CMMI-Dev implementation in which has been validated by questionnaire's results. This research finding expects that the factors could be applied by other companies which desire to implement CMMI-Dev.","PeriodicalId":348326,"journal":{"name":"Proceedings of the 2020 2nd Asia Pacific Information Technology Conference","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122227301","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}
Computer vision-based advanced driver assistance systems (ADAS) increase safety of operations involving heavy machinery. ADAS systems using multiple cameras can be used for surround-view visualization of complex vehicles with blind spots. Such systems are also useful for autonomous vehicles. Multiple camera systems used to capture surrounding view of heavy machinery require complex design due to the complexity in size and shape of the vehicles. In this paper, we present a novel method for determining the optimal camera pose i.e. placement and orientation in three-dimensional space, given the shape of the vehicle, in order to maximize surrounding area coverage. The first method determines camera poses using a fixed pre-determined number of cameras, while the second method determines both camera poses and the number of cameras. The problem is modelled and solved using three different deterministic optimization algorithms: 1) single objective binary integer programming approach; 2) single objective greedy algorithm; and 3) bi-objective binary integer programming approach. The methods are validated using a set of realistic 3-D vehicle models. Experimental validation has been conducted to compare the proposed methods with respect to coverage quality and computation time metrics. The experimental results have demonstrated that the proposed methods provide accurate solutions to the camera pose and the number of camera optimization.
{"title":"Optimal Camera Placement To Visualize Surrounding View From Heavy Machinery","authors":"V. A. Puligandla, S. Lončarić","doi":"10.1145/3379310.3379331","DOIUrl":"https://doi.org/10.1145/3379310.3379331","url":null,"abstract":"Computer vision-based advanced driver assistance systems (ADAS) increase safety of operations involving heavy machinery. ADAS systems using multiple cameras can be used for surround-view visualization of complex vehicles with blind spots. Such systems are also useful for autonomous vehicles. Multiple camera systems used to capture surrounding view of heavy machinery require complex design due to the complexity in size and shape of the vehicles. In this paper, we present a novel method for determining the optimal camera pose i.e. placement and orientation in three-dimensional space, given the shape of the vehicle, in order to maximize surrounding area coverage. The first method determines camera poses using a fixed pre-determined number of cameras, while the second method determines both camera poses and the number of cameras. The problem is modelled and solved using three different deterministic optimization algorithms: 1) single objective binary integer programming approach; 2) single objective greedy algorithm; and 3) bi-objective binary integer programming approach. The methods are validated using a set of realistic 3-D vehicle models. Experimental validation has been conducted to compare the proposed methods with respect to coverage quality and computation time metrics. The experimental results have demonstrated that the proposed methods provide accurate solutions to the camera pose and the number of camera optimization.","PeriodicalId":348326,"journal":{"name":"Proceedings of the 2020 2nd Asia Pacific Information Technology Conference","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128842252","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}
This paper is primarily centered on the assessment of Emirates Airlines strategic management plan. In its scope, the paper looks into the various fundamental spheres that are vital for the successful formulation and implementation of Emirates Airlines strategic management. Also to provide an analysis and evaluation of the strategic management of Emirates Airlines and how this young company started with limited resources until reach in a position that became a major threat for the world's top airliners in the aviation sector. Emirates airlines build up a brand, and the travelers become loyal to this brand. The publication provides the present epoch outlook of the Airline as well as its chronological track to the current position. Apropos strategic management is, of course, composed of critical strategies. Hence, the publication does not shy away from illustrating the vital strategies employed by Emirates Airlines. The road to successful strategic management cannot be entirely smooth, and thus, the various barriers along the way are presented as the challenges that stood along the Emirates Airways course. Nevertheless, the research methodology that was used together with its primary tents and aspects is extensively epitomized for clarity and accuracy of the findings. More so, the research methodology employs the use of the Five Porter's Forces Model to analyze and understand the various factors of competition behind the development of Emirates Airlines. Also, SWOT is an analysis tool used to assess the internal environment, the external environment, and business performance. Types of strategic management are also another critical aspect of the publication.
{"title":"Strategic Management of Emirates Airlines","authors":"Faisal Alanezi, Rabia Al-Zahrani","doi":"10.1145/3379310.3381040","DOIUrl":"https://doi.org/10.1145/3379310.3381040","url":null,"abstract":"This paper is primarily centered on the assessment of Emirates Airlines strategic management plan. In its scope, the paper looks into the various fundamental spheres that are vital for the successful formulation and implementation of Emirates Airlines strategic management. Also to provide an analysis and evaluation of the strategic management of Emirates Airlines and how this young company started with limited resources until reach in a position that became a major threat for the world's top airliners in the aviation sector. Emirates airlines build up a brand, and the travelers become loyal to this brand. The publication provides the present epoch outlook of the Airline as well as its chronological track to the current position. Apropos strategic management is, of course, composed of critical strategies. Hence, the publication does not shy away from illustrating the vital strategies employed by Emirates Airlines. The road to successful strategic management cannot be entirely smooth, and thus, the various barriers along the way are presented as the challenges that stood along the Emirates Airways course. Nevertheless, the research methodology that was used together with its primary tents and aspects is extensively epitomized for clarity and accuracy of the findings. More so, the research methodology employs the use of the Five Porter's Forces Model to analyze and understand the various factors of competition behind the development of Emirates Airlines. Also, SWOT is an analysis tool used to assess the internal environment, the external environment, and business performance. Types of strategic management are also another critical aspect of the publication.","PeriodicalId":348326,"journal":{"name":"Proceedings of the 2020 2nd Asia Pacific Information Technology Conference","volume":"2010 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121756726","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}
This paper presents the evaluation of multiscale entropy (MSE) as a feature in physical activity recognition compared to the mostly used traditional features. Walking, jogging, and running were chosen as the physical activities for the comparison considering their similarities. Selection of similar activities can give a better evaluation of which features are useful in detecting slight differences. The acceleration data from x-, y-, and z-axes were collected using wearable accelerometers and then evaluated using Matlab and Weka. The k-Nearest neighbors (KNN), J48, and random forest (RF) were chosen as the classifiers. From the comparative evaluation, the MSE performed better compared to the traditional features. Further, the addition of the MSE significantly increased the performance of the traditional features.
{"title":"Multiscale Entropy for Physical Activity Recognition","authors":"Nurul Retno Nurwulan, B. Jiang","doi":"10.1145/3379310.3379318","DOIUrl":"https://doi.org/10.1145/3379310.3379318","url":null,"abstract":"This paper presents the evaluation of multiscale entropy (MSE) as a feature in physical activity recognition compared to the mostly used traditional features. Walking, jogging, and running were chosen as the physical activities for the comparison considering their similarities. Selection of similar activities can give a better evaluation of which features are useful in detecting slight differences. The acceleration data from x-, y-, and z-axes were collected using wearable accelerometers and then evaluated using Matlab and Weka. The k-Nearest neighbors (KNN), J48, and random forest (RF) were chosen as the classifiers. From the comparative evaluation, the MSE performed better compared to the traditional features. Further, the addition of the MSE significantly increased the performance of the traditional features.","PeriodicalId":348326,"journal":{"name":"Proceedings of the 2020 2nd Asia Pacific Information Technology Conference","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131402239","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}
Hanhee Hahm, Jung Song Lee, Seongmi Jeong, Semina Oh, Soon-cheol Park
The purpose of this study is to analyze the construction, operation and problems of digital platform as a means for safeguarding and inheriting intangible cultural heritage. Specifically, this study will look at ichngo.net, built by NGOs specializing in cultural heritage. A digital platform that mediates the protection and transmission of intangible cultural heritage has long been a necessity for NGOs. NGO activists were, however, generally overwhelmed by IT concepts and various technologies. As the interests of IT professionals has expanded to the cultural heritage realm, collaboration between NGOs specializing in intangible cultural heritage and IT experts has gradually increased. The advantage of ichngo.net is that it has newly devised operational methods to support the growth of cultural diversity and increase international networking for promotion of safeguarding and sustainable practices of ICH. In order to promote greater participation, the Ichnog.net platform operates based on bottom-up and voluntary participation. The major challenge in this activity is that the digital access gap existing within and among NGOs and countries. However, the recent increase in the use of smartphones and social media is to reduce the digital divide. Therefore, the prospect of digital heritage created by the convergence of ICH and digital technology would be positive under the new direction of smartphone usage by the general populace.
{"title":"A Digital Solution and Challenges in the Safeguarding Practices of Intangible Cultural Heritage: A Case of 'ichngo.net' Platform","authors":"Hanhee Hahm, Jung Song Lee, Seongmi Jeong, Semina Oh, Soon-cheol Park","doi":"10.1145/3379310.3379316","DOIUrl":"https://doi.org/10.1145/3379310.3379316","url":null,"abstract":"The purpose of this study is to analyze the construction, operation and problems of digital platform as a means for safeguarding and inheriting intangible cultural heritage. Specifically, this study will look at ichngo.net, built by NGOs specializing in cultural heritage. A digital platform that mediates the protection and transmission of intangible cultural heritage has long been a necessity for NGOs. NGO activists were, however, generally overwhelmed by IT concepts and various technologies. As the interests of IT professionals has expanded to the cultural heritage realm, collaboration between NGOs specializing in intangible cultural heritage and IT experts has gradually increased. The advantage of ichngo.net is that it has newly devised operational methods to support the growth of cultural diversity and increase international networking for promotion of safeguarding and sustainable practices of ICH. In order to promote greater participation, the Ichnog.net platform operates based on bottom-up and voluntary participation. The major challenge in this activity is that the digital access gap existing within and among NGOs and countries. However, the recent increase in the use of smartphones and social media is to reduce the digital divide. Therefore, the prospect of digital heritage created by the convergence of ICH and digital technology would be positive under the new direction of smartphone usage by the general populace.","PeriodicalId":348326,"journal":{"name":"Proceedings of the 2020 2nd Asia Pacific Information Technology Conference","volume":"337 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122995767","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}
Fabricating experimental pictures in research work is a serious academic misconduct, which should better be detected in the reviewing process. However, due to large number of submissions, the detection whether a picture is fabricated or reused is laborious for reviewers, and sometimes is unrecognizable with human eyes. A tool for detecting similarity between images may help to alleviate this problem. Some methods based on local feature points matching work for most of the time, while these methods may result in mess of matchings due to ignorance of global relationship between features. We present a framework to detect similar, or perhaps fabricated, pictures with the graph matching techniques. A new iterative method is proposed, and experiments show that such a graph matching technique is better than the methods based only on local features for some cases.
{"title":"Fabricated Pictures Detection with Graph Matching","authors":"Binrui Shen, Q. Niu, Shengxin Zhu","doi":"10.1145/3379310.3379330","DOIUrl":"https://doi.org/10.1145/3379310.3379330","url":null,"abstract":"Fabricating experimental pictures in research work is a serious academic misconduct, which should better be detected in the reviewing process. However, due to large number of submissions, the detection whether a picture is fabricated or reused is laborious for reviewers, and sometimes is unrecognizable with human eyes. A tool for detecting similarity between images may help to alleviate this problem. Some methods based on local feature points matching work for most of the time, while these methods may result in mess of matchings due to ignorance of global relationship between features. We present a framework to detect similar, or perhaps fabricated, pictures with the graph matching techniques. A new iterative method is proposed, and experiments show that such a graph matching technique is better than the methods based only on local features for some cases.","PeriodicalId":348326,"journal":{"name":"Proceedings of the 2020 2nd Asia Pacific Information Technology Conference","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134066043","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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