Proceedings of the 2019 Asia Pacific Information Technology Conference最新文献

{"title":"Capacity Investigation of Markov Chain-Based Statistical Text Steganography: Arabic Language Case","authors":"Nujud Alghamdi, L. Berriche","doi":"10.1145/3314527.3314532","DOIUrl":"https://doi.org/10.1145/3314527.3314532","url":null,"abstract":"Nowadays, there is a high motivation to develop techniques of sending secret information as a result of the need to transfer some data in a secret way. Steganography is one of the important techniques in this field. In particular, statistical text steganography is classified as an immune technique against the majority of steganalysis techniques compared to other steganography techniques. On the other hand, although Arabic is the official language of many countries, many steganography techniques remain unexplored for it. In this work, we implemented a Markov Chain (MC) encoder/decoder combined with Huffman Coding (HC) for Arabic text steganography. Additionally, we computed an upper bound and a lower bound for the stego-text length that depends on the designed encoder/decoder parameters. The proposed Arabic steganography technique capacity performance was investigated for different encoder parameters and secret message length. We found that applying some constraints on the MC increases the embedding capacity till it reaches an upper limit floor.","PeriodicalId":370433,"journal":{"name":"Proceedings of the 2019 Asia Pacific Information Technology Conference","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125506673","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}

{"title":"Edge Detection using CNN for Roof Images","authors":"Aneeqa Ahmed, Y. Byun","doi":"10.1145/3314527.3314544","DOIUrl":"https://doi.org/10.1145/3314527.3314544","url":null,"abstract":"In image processing detection of edges is a very significant phenomenon as it finds its utility in multiple applications from different areas of life such as security, video surveillance, detection of various diseases, text detection, vehicle detection and many more. Image processing based techniques for edge detection usually requires preprocessing of the images in order to reduce the quantity of noise before edge detection. Even after the detection of edges, most of the times these techniques have to involve various post processing steps in order to generate the fine edges to be used in concerned applications like tumor detection or critical security applications. Image processing based algorithms for edge detection are conventionally based on gradient filters and generally they are not reliable in the case of variable illumination conditions or noise deviations. As soon as there is any variation in the illumination conditions of images or change in the percentage of noise element in images, the efficiency of the traditional edge detection algorithms is affected badly because of increased mask size. This increased mask also results in additional computational load. This paper utilizes Convolutional Neural Networks (CNN) for the detection of edges in images. The dataset composes roof images of diverse types and sizes. Employing CNN for edge detection over conventional methods is more reliable and it is speedier and less complex. Also, CNN is very efficient as it can take compute all features automatically so reduces the burden of manual feature extraction. Moreover, feature detection using CNN is accurate and more precise than manual feature compilation methods. To make use of automatic feature extraction of CNN, this technique employs Visual Geometry Group (VGG) CNN network. Further, to compute the edge map, Roberts edge operator is applied on the automatically computed features. This CNN based edge detection technique results into the generation of very fine edges without the application of any post processing step. Also, the results show that this technique works equally good in the presence of noise and requires no pre-processing algorithms.","PeriodicalId":370433,"journal":{"name":"Proceedings of the 2019 Asia Pacific Information Technology Conference","volume":"4 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128606025","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}

{"title":"Development of Traffic Flow Measurement System Using Fixed Point Cameras","authors":"Masaya Kikuzawa, ManYong Jeong","doi":"10.1145/3314527.3314542","DOIUrl":"https://doi.org/10.1145/3314527.3314542","url":null,"abstract":"Recently, traffic congestions caused by increase of vehicle possession and complicatedness of traffic system have induced several serious social problems. In order to solve these problems, a lot of attempts have been carried out in many areas including new type of traffic signal system employing fuzzy control or neural network system. In addition to that system, a visualized miniature traffic simulation system based on real road system has been developed to examine the performance of the new traffic signal system and its effectiveness has been proved in several problems, which cannot sufficiently model that is able to reproduce the real traffic behaviors. In this study, a traffic flow measurement system has been developed to extract traffic flow data by analyzing images from the fixed point cameras set up near intersections. The measurement system has been developed by optical flow and R-CNN, and its performance was evaluated based on the recognition rate of the number of cars passing the intersection and the recognition rate of matching for same vehicle and the accuracy of the means speed estimated by the difference of passage time at two intersections. The result showed that the new system has higher rate of matching for same vehicle than previous study.","PeriodicalId":370433,"journal":{"name":"Proceedings of the 2019 Asia Pacific Information Technology Conference","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130409707","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}

{"title":"Analytical Visualization of Higher Education Institutions' Big Data for Decision Making","authors":"Christianne Lynnette Cabanban-Casem","doi":"10.1145/3314527.3314537","DOIUrl":"https://doi.org/10.1145/3314527.3314537","url":null,"abstract":"Education is an important element towards learning and human development, thus, it is the key towards identifying competencies and better productivity for the workforce. As part of the Commission on Higher Education's (CHED) thrust for improving efficiency and effectiveness by simplifying the collection process for all the stakeholders, the developed system will drastically improve the availability of data for making informed decisions and efficient generation of reports. This research outlines opportunities and challenges associated with the implementation and governance of Big Data in higher education through development and implementation of data analytics tool.","PeriodicalId":370433,"journal":{"name":"Proceedings of the 2019 Asia Pacific Information Technology Conference","volume":"419 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126704624","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}

{"title":"An Eclipse Plug-in Tool for Generating Test Cases from Source Codes","authors":"R. Ibrahim, Maryam Ahmed, Sapiee Jamel","doi":"10.1145/3314527.3314535","DOIUrl":"https://doi.org/10.1145/3314527.3314535","url":null,"abstract":"Most software development will use a standard software development life cycle (SDLC). In SDLC, four phases are involved during development of any system. They are analysis, design, implement and testing. During testing phase, test cases are used in order to test the functionalities of the system developed. Test cases are generally extracted from the source codes manually. This paper presents an alternative approach to automate the process of generating the test cases by developing an eclipse plug-in tool. The plug-in tool will be able to generate the test cases automatically from the source codes by examining its line of code (LOC). The plug-in tool is an open source software to help the software developers generate the test cases for their system that they developed. It will help to ease the problems for software developers to come up with test cases manually as well as to check the system functionalities whether it meets the users' requirements or not.","PeriodicalId":370433,"journal":{"name":"Proceedings of the 2019 Asia Pacific Information Technology Conference","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114568582","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}

{"title":"Quality of Service for Traffic Monitoring System based on Static Routing using EoIP Tunnel over IPSec","authors":"Ida Nurhaida, Ngadiyono","doi":"10.1145/3314527.3314543","DOIUrl":"https://doi.org/10.1145/3314527.3314543","url":null,"abstract":"The development of internet networks requires a network administrator to implement various topology schemes on the location of the different network. It is intended to make each other enables to communicate in one area and monitor the use of traffic. This research aim is to create private network connection by ensuring its security and distributing public address through routing static algorithm. Network Development Life Cycle (NDLC) is utilized as the research method. Based on the implementation of EoIP tunnel network over IPSec, the researcher analysed the Quality of Service (QoS) for EoIP tunnel non-IPsec with EoIP tunnel over IPSec to find out the comparison. The Result revealed that EoIP tunnel over IPsec has throughput 93.04%, delay 1.43 ms, jitter 1.41 ms, and packet loss 0.43%. The data is fewer than the data of EoIP non-IPsec with throughput 94.85%, delay 1.39 ms, jitter 1.37 ms, and packet loss 0.52%. The differentiation caused by the encryption negotiation process during the network connected. Hopefully, this research has a contribution to make user is more accessible to communicate in the local area and monitor the traffic use centrally.","PeriodicalId":370433,"journal":{"name":"Proceedings of the 2019 Asia Pacific Information Technology Conference","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121083909","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}

{"title":"Prediction Framework for Potential Tuna Fish Zone in Indonesia","authors":"D. Fitrianah, Remmy A. M. Zen, N. H. Praptono","doi":"10.1145/3314527.3314530","DOIUrl":"https://doi.org/10.1145/3314527.3314530","url":null,"abstract":"As the promising and futuristic commodity, tuna fish catching becomes one of the most important activities that holds significant impacts for the people life. One of the problem to maximize the efficiency of fishing is to predict appropriately, which area belongs to potential or non-potential. This paper proposes a framework utilizing regression process and classification method to predict potential tuna fishing zones. We would like to predict the potential area A given time t, or A(t). On the other words, by using only the time as the input, we can predict whether the area is potential or non-potential. The regression process, in this case, is to predict the feature value at the given time. We try several regression functions and find that the logarithmic function achieves the best result. In addition, the classification method is performed to decide whether an area belongs to potential or non-potential zone. The result of the experiment shows that for some cases prediction gives the high accuracy, while there are some low accuracy values. The highest accuracy reaches 92.75% by using SVM classifier. Several experiments achieve low or even zero results, because of data limitations causing an under-fitting regression. However, our proposed framework can be utilized to predict the potential tuna fishing zones.","PeriodicalId":370433,"journal":{"name":"Proceedings of the 2019 Asia Pacific Information Technology Conference","volume":"41 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129866642","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}

{"title":"Visual Perception Games for Autistic Learners: Research Findings","authors":"F. Shahbodin, C. K. Mohd, A. Azni, Z. Jano","doi":"10.1145/3314527.3314534","DOIUrl":"https://doi.org/10.1145/3314527.3314534","url":null,"abstract":"Early identification and diagnosis of autism is the key to minimize its negative effects and get the autistic children on the right path. This paper analyzed autism diagnostic tool using serious games technique namely Vi-Per Games. It is a tool for special education teachers to diagnose visual perception problems among autistic students. The development of the game is based on ADDIE model. The results show that the use of Vi-Per Games successfully assist and facilitate teachers when making a diagnosis of visual perception problems in autistic students, compared with conventional methods of diagnosis. Diagnosing visual perception problems using serious games gives teachers and students enjoyable experiences in a way that no other medium can offer.","PeriodicalId":370433,"journal":{"name":"Proceedings of the 2019 Asia Pacific Information Technology Conference","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123625852","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}

{"title":"Interactive Multi-Objective Optimization Using Mobile Application: Application to Multi-Objective Linear Assignment Problem","authors":"Shinmyeong Kim, I. Jeong","doi":"10.1145/3314527.3314538","DOIUrl":"https://doi.org/10.1145/3314527.3314538","url":null,"abstract":"In the past decades, there has been a plenty of researches on multi-objective programming (MOP) problems due to the unreality of single-objective programming problems. However, multi-objective programming problems have also been discussed in terms of information security issues, the preference of people involved in decision-making and so on. A recently developed a decentralized coordination algorithm has the advantage of generating a single Pareto optimal solution under the condition that information of each agent involved in decision making is not shared. Nevertheless, this algorithm does not reflect the preference of each decision maker, and thus can generate a biased Pareto optimal solution. Therefore, in this study, we developed a mobile application that iteratively searches the Pareto optimal solution through an interactive decentralized coordination algorithm (IDCA) by interactively exchanging agent's preference information in the realm of multi-objective linear assignment problem. An empirical study was conducted to identify factors affecting to the generation of unbiased pareto solutions with 32 human decision makers.","PeriodicalId":370433,"journal":{"name":"Proceedings of the 2019 Asia Pacific Information Technology Conference","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121771123","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}

{"title":"User Perception Towards Cultural-Based E-Government Portal Design","authors":"Farez Mahmood, W. Adnan, N. Noor, F. M. Saman, Zan Azma Nasruddin","doi":"10.1145/3314527.3314539","DOIUrl":"https://doi.org/10.1145/3314527.3314539","url":null,"abstract":"The purpose of this paper is to analyze user perception towards cultural-based e-government portal design. User perception is measured based on feedback on emotional state received from participants towards an e-government portal that has been developed based on cultural and emotional through look and feel. Cultural studies in the context of e-government development and implementation is still lacking. User testing was conducted with 33 participants. The data obtained have been analyzed. User testing specifically focus on the High and Low Power Distance Dimension. The participants gave their perceptions based on the prototype of e-government portal representing High and Low PD design. The results are based on the mean analysis. The PD design with a higher mean score indicates that it poses a stronger feeling on a particular emotion state. It can be conclude that the emotion states are perceived differently between High and Low PD design.","PeriodicalId":370433,"journal":{"name":"Proceedings of the 2019 Asia Pacific Information Technology Conference","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126316560","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}