2019 IEEE 9th Symposium on Computer Applications & Industrial Electronics (ISCAIE)最新文献

{"title":"Comparative Study of Elman Neural Network (ENN) and Neural Network Autoregressive With Exogenous Input (NARX) For Flood Forecasting","authors":"Siti Maisarah Zainorzuli, Syahrul Afzal Che Abdullah, R. Adnan, F. Ruslan","doi":"10.1109/ISCAIE.2019.8743796","DOIUrl":"https://doi.org/10.1109/ISCAIE.2019.8743796","url":null,"abstract":"Flood happen when a river ruptures its bank due to massive amount of water and the water spills out onto the land. Therefore, flood prediction system is necessary in order to alert the people about the incoming flood. Flood cannot be preventing but can take the precaution steps by using a precise technique to forecast the flood earlier. In this modern day, there are many models of flood prediction was introduced to the world. The accuracy of water level is very crucial for flood forecasting. By compare all the models, the most accurate technique can be discovered. In Malaysia, NARX and ENN are the flood prediction models that were frequently be used by researches. Thus, this paper proposed comparison between Elman Neural Network (ENN) and Neural Network Autoregressive with Exogenous Input (NARX) to specify which model are more accurate. Therefore, both of the model is using the same water level data which recorded in Kedah to ensure which model are more precise. Based on result obtain, Elman are more accurate than NARX since it have higher best fit and lower root mean square error (RMSE).","PeriodicalId":369098,"journal":{"name":"2019 IEEE 9th Symposium on Computer Applications & Industrial Electronics (ISCAIE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132667314","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":"Towards Automatically Extracting Contextual Valence Shifters in Reviews of Saudi Universities","authors":"M. Alruily","doi":"10.1109/ISCAIE.2019.8743859","DOIUrl":"https://doi.org/10.1109/ISCAIE.2019.8743859","url":null,"abstract":"Text sentiment orientations are affected by valence shifters. Therefore, it must be taken into account when a sentiment analysis system is developed. This paper presents an overview about existence of contextual valence shifters, such as intensifiers, negators, and connectors, in Saudi university reviews in order to seek a method for automatically extracting frequent shifting patterns. For achieving this study, a dataset containing 85,658 tweets written in Saudi dialectal Arabic language about Saudi universities was collected from the Twitter platform. It was found that many types of valence shifters exist in the dataset. As a result, for achieving accurate sentiment analysis the sentiment or polarity shifters needs to be first addressed.","PeriodicalId":369098,"journal":{"name":"2019 IEEE 9th Symposium on Computer Applications & Industrial Electronics (ISCAIE)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130480882","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":"Data Mining Techniques for Transformer Failure Prediction Model: A Systematic Literature Review","authors":"Nanthiine Nair Ravi, Sulfeeza Mohd Drus, P. S. Krishnan","doi":"10.1109/ISCAIE.2019.8743987","DOIUrl":"https://doi.org/10.1109/ISCAIE.2019.8743987","url":null,"abstract":"Transformer failure may occur in terms of tripping, resulting in an unplanned or unseen failure. Therefore, a good maintenance strategy is an essential component of a power system to prevent unanticipated failures. Routine preventive maintenance programs have traditionally been used in combination with regular tests. However, in recent years, predictive maintenance has become prevalent due to the demanding industrial needs. Due to the increased requirement, utilities are persistently looking for ways to overcome the challenge of power transformer failures. One of the most popular ways for fault prediction is data mining. Data mining techniques can be applied in transformer failure prediction to provide the possibility of failure occurrence. Thus, this study aims to identify the common data mining techniques and algorithms that are implemented in studies related to various transformer failure types. The accuracy of each algorithm is also studied in this paper. A systematic literature review is carried out by identifying 160 articles from four main databases of which 6 articles are chosen in the end. This review found that the most common prediction technique used is classification. Among the classification algorithms, ANN is the prominent algorithm adopted by most of the researchers which has provided the highest accuracy compared to other algorithms. Further research can be done to investigate more on the transformer failures types and fair comparison between multiple algorithms in order to get more precise performance measurement.","PeriodicalId":369098,"journal":{"name":"2019 IEEE 9th Symposium on Computer Applications & Industrial Electronics (ISCAIE)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127871081","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":"A Review of Triangle Geometry Features in Object Recognition","authors":"Nur Atikah Arbain, Mohd Sanusi Azmi, Azah Kamilah Draman Muda, Amirul Ramzani Radzid, A. Tahir","doi":"10.1109/ISCAIE.2019.8743997","DOIUrl":"https://doi.org/10.1109/ISCAIE.2019.8743997","url":null,"abstract":"The geometrical form such as polygon shape can be used to represent object image via their geometrical properties. The geometry shapes such as polygon including rectangles, squares, pentagons and triangles can be used to produce geometry features through the feature extraction process. The use of geometrical forms in object recognition has been applied in determining similar object images which have broadly used in recognizing digit, biometric and vehicle detection. The triangle shape formation is essential to construct in order to produce triangle features. Otherwise, the triangle features cannot be produced. However, each of object recognition has different approaches to construct triangle shape due to their different characteristics such as style, pattern, shape and type which made the triangle features produced are different. This paper reviews several approaches that have used in producing the triangle geometry features in various object recognition such as fingerprint, face, digit dan vehicle detection. The aspects addressed are triangle shape formation, elements used as the benchmark to generate triangle points and properties or characteristics used as features type.","PeriodicalId":369098,"journal":{"name":"2019 IEEE 9th Symposium on Computer Applications & Industrial Electronics (ISCAIE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126024883","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":"Cooperative Vehicles for Monitoring Urban Roads Based on Behavioral Rules","authors":"Elmer R. Magsinoy, Gerard D. Von Galang, M. He, R. Inomata","doi":"10.1109/ISCAIE.2019.8743986","DOIUrl":"https://doi.org/10.1109/ISCAIE.2019.8743986","url":null,"abstract":"In the near future, Intelligent Transportation Systems will integrate autonomous vehicles and roadside infrastructures in the current urban road setup to collect environment data and then disseminate the information to surrounding vehicles for road safety, traffic convenience, and travel comfort. Autonomous vehicles, individually, can perform traffic-specific tasks to accomplish certain objectives, such as exploring for unknown or unmapped road sections and searching for road accidents. In this work, a cooperative search algorithm based on behavioral rules are used to direct PBOT (no acronym definition) mobile robots to cooperatively search road accidents in the city. The PBOTs, emulating autonomous vehicles, follow a hierarchical set of behavioral rules to achieve a cooperative search and uses the cellular network for communication and data exchange among PBOTs. PBOTs are programmed to follow random and deterministic paths in sensing the urban grid map. Results show that deterministic paths provide lesser exploration time, but may not be realistically viable. On the other hand, the network delay is affected by both the number of PBOTs and change in the urban map size.","PeriodicalId":369098,"journal":{"name":"2019 IEEE 9th Symposium on Computer Applications & Industrial Electronics (ISCAIE)","volume":"328 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132762414","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":"Non-linear Analysis of Carotid Plaque Using Fractal Dimension and Lacunarity","authors":"B. Smitha, K. Paul Joseph","doi":"10.1109/ISCAIE.2019.8743660","DOIUrl":"https://doi.org/10.1109/ISCAIE.2019.8743660","url":null,"abstract":"The chance of stroke rises with the severity of carotid stenosis and the thickening of the carotid artery due to the deposition of plaque, known as atherosclerosis. In asymptomatic type, slowly plaque formation reaches a life-threatening condition. In the symptomatic case plaque is acute in nature. Hence treatment protocol is to be decided based on the type of plaque. This paper describes the segmentation of the plaque and analyses the non-linear parameters of the plaque in carotid B-mode ultrasound images. The aim of the study is to differentiate textural features of the symptomatic and asymptomatic plaque by fractal methods. The fractal dimension and lacunarity are computed and differ significantly for two types of plaques. This analysis could classify the symptomatic and asymptomatic plaque using the fractal characteristics of plaque and help in the diagnostic process.","PeriodicalId":369098,"journal":{"name":"2019 IEEE 9th Symposium on Computer Applications & Industrial Electronics (ISCAIE)","volume":"363 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116322183","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":"Experiment with Text Summarization as a Positive Hierarchical Fuzzy Logic Ranking Indicator for Domain Specific Retrieval of Malay Translated Hadith","authors":"Shaiful Bakhtiar bin Rodzman, Normaly Kamal Ismail, Nurazzah Abd Rahman, Syed Ahmad Aljunid, Hayati Abd Rahman, Z. M. Nor, Ku Muhammad Naim Ku Khalif, Ahmad Yunus Mohd Noor","doi":"10.1109/ISCAIE.2019.8743988","DOIUrl":"https://doi.org/10.1109/ISCAIE.2019.8743988","url":null,"abstract":"Ranking function acts as a predictive algorithm that is used to establish a simple ordering of documents according to its relevance and this process shows the effectiveness, quality and the accuracy for the variety type of Information Retrieval (IR) such as, Domain Specific Retrieval of Malay Translated Hadith. In this research, a Hierarchical Fuzzy Logic Controller of Mamdani-type Fuzzy Inference System has been built to define the ranking function based on the BM25 Model. The model examines four-inputs which are Ontology BM25 Score, Fabrication Rate of Hadith, Shia Rate of Hadith from the previous works of the researchers and the New additional Positive Rate of Hadith. It also examines four-output values of Final Ranking Score which consist of three triangular membership functions. The new Positive Rate of hadith is based on the score value of the automatic text summarization that was executed in pre-processing phase. The proposed system has outperformed the BM25 original score and the Vector Space Model (VM) on 5 topic of queries and 26 queries in the term of individual queries, while the BM25 original score and Vector Space Model only yielded better result in 3 and 0 queries respectively on the P@10, %no measures and MAP. P@10 represent the values of Precision at Rank 10 P@10), %no measures represent the percentage of queries with no relevant documents in the top ten retrieved and MAP represents Mean Average Precision of the queries. The results show the proposed system have capability to demote negative documents and move up the relevant documents in the ranking list with positive indicator and its capability to recall unseen document with the application of ontology in text retrieval. For the future works, the researcher would like to apply the usage of new ranking indicator such as reliability score from the expert and the lay users of the Domain Specific Retrieval of Malay Translated Hadith.","PeriodicalId":369098,"journal":{"name":"2019 IEEE 9th Symposium on Computer Applications & Industrial Electronics (ISCAIE)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131525239","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":"Elderly Fall Detection and Location Tracking System Using Heterogeneous Wireless Networks","authors":"Ng Ming Fung, Jackson Wong Sing Ann, Yew Hoe Tung, Chung Seng Kheau, A. Chekima","doi":"10.1109/ISCAIE.2019.8743664","DOIUrl":"https://doi.org/10.1109/ISCAIE.2019.8743664","url":null,"abstract":"Elderly may encounter problems if they are living alone with their poor health condition at their old age. In this paper, a prototype of elderly fall detection and location tracking system is developed by using the Global Positioning System (GPS), Global System for Mobile communications (GSM), Wi-Fi and Arduino technologies. The proposed system is a wearable hardware equipped with cellular network and Wi-Fi connectivity for sending an emergency alert in multiples ways such as Short Message Services (SMS) and email in case of fall detected. The location coordinate is extracted from a GPS module and sent together with emergency alerts in the form of Google Map link to caretaker for immediate action. The prototype is tested. It sends emergency SMS and Email via GSM and cloud server, respectively, if a fall is detected. Moreover, the proposed system stored the fall event details on cloud server and display on a webpage.","PeriodicalId":369098,"journal":{"name":"2019 IEEE 9th Symposium on Computer Applications & Industrial Electronics (ISCAIE)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127817537","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":"A Preliminary Study on Requirements of Olfactory, Haptic and Audio Enabled Application for Visually Impaired in Edutainment","authors":"C. S. Mon, Kian Meng Yap, Azlina Ahmad","doi":"10.1109/ISCAIE.2019.8743738","DOIUrl":"https://doi.org/10.1109/ISCAIE.2019.8743738","url":null,"abstract":"Edutainment is an entertainment designed to educate as well as inform or amuse. It has been widely accepted by teachers and learners in their learning process. Most recently, virtual edutainment has become one of the popular ways for educating the younger generation as it provides an interactive and fun way in learning new things. However, there are limitations when it comes to educate the visually impaired using virtual application as the visually impaired do not have the privilege of sight. It is very difficult to develop engaging edutainment application for those who are visually impaired because they can be easily distracted as they can only hear the sound of video or application. Hence, the usage of edutainment application is very low among visually impaired learners. Therefore, this research studies the requirements of olfactory, haptic and audio enabled 3D application for visually impaired user in a virtual edutainment environment. The preliminary study was conducted on visually impaired people by providing actual shapes of the objects. Based on the results, the main reasons of underutilizing edutainment applications are too much of visual content involved in edutainment applications as well as lack of interaction. Majority of participants agreed that audio enhanced edutainment applications will be more attractive to them if applications come together with Haptic and Olfactory functionalities.","PeriodicalId":369098,"journal":{"name":"2019 IEEE 9th Symposium on Computer Applications & Industrial Electronics (ISCAIE)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132567709","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 Based Obstacle Detection Model Focused on Indoor Floor-Based Obstacles","authors":"Khairul Azim Bin Za’aba, Lau Bee Theng","doi":"10.1109/ISCAIE.2019.8743866","DOIUrl":"https://doi.org/10.1109/ISCAIE.2019.8743866","url":null,"abstract":"There are several obstacle detection and avoidance technologies developed to assist the visually impaired community in the current market. They are categorised into different types such as non-vision or vision-based technologies. However, a majority of these technologies are not ready for distribution as it may require additional steps due to mass production and distribution. This paper introduces a simple obstacle detection model built for mobile device. Utilising the Canny Edge detection algorithm, the edge information is used to compare whether the user’s walking path is obstructed by obstacles. The proposed model utilises a mobile device’s proximity sensor and accelerometer to adapt itself accordingly in various environment. The model is tested in various scenarios resulted to an average obstacle detection rate of 85%. The model may be used as a supplementary assistance to the white cane, for people with visual impairment.","PeriodicalId":369098,"journal":{"name":"2019 IEEE 9th Symposium on Computer Applications & Industrial Electronics (ISCAIE)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121200401","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}