{"title":"Analysis of Learning Preferences and Learning Styles for an Undergraduate Teaching Unit","authors":"Y. Phung, P. Dominic, Rohiza Ahmad","doi":"10.1109/ICCOINS.2018.8510563","DOIUrl":"https://doi.org/10.1109/ICCOINS.2018.8510563","url":null,"abstract":"This paper works on a subpart of a research-in-progress framework on students’ success, which is an integration of three modules comprise of learning styles, educational data mining and personalized learning. This study looks into the first module of learning styles. We aim to discover and analyze the learning styles and the learning preferences for a class of business students enrolled in a third-year data mining unit in their undergraduate study. Students’ learning styles and learning preferences are captured and gathered through surveys. Diagnostic analytics are carried on the compiled data. Data analysis revealed that there is no strong significant relationship between students’ learning preference and learning styles, but students do have varying learning styles and a dominant learning style is preferred for the learning of a data mining unit at University.","PeriodicalId":168165,"journal":{"name":"2018 4th International Conference on Computer and Information Sciences (ICCOINS)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123165606","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}
M. Hilal, S. H. Hanizan, S. M. Shahrizan, A. Wan Mahani
{"title":"Enhancing MANET Performance Using S-MPRP Algorithm","authors":"M. Hilal, S. H. Hanizan, S. M. Shahrizan, A. Wan Mahani","doi":"10.1109/iccoins.2018.8510592","DOIUrl":"https://doi.org/10.1109/iccoins.2018.8510592","url":null,"abstract":"Mobile Ad-Hoc NETworks (MANET) designed specifically for WMNs. MANET plays an important role to find single the best path to a destination from various paths available using Ad-Hoc On Demand Distance Vector (AODV) routing protocol. However, when multiple nodes choose the same path, it will cause the path to be overload and deteriorating the overall performance of the network. Multipath Parallel Routing Protocol (MPRP) comes out to overcome this problem. The scope of this project is to study and discuss how MPRP and Coordinated Distributed Scheme (CDS) enhance the performance of WMNs. MPRP and CDS is combined to allow the selection of shortest path. The algorithm named Shortest Path Multipath Parallel Routing Protocol (S-MPRP). S-MPRP enhanced the performance of MPRP by allowing the selecting second best path when the best path is congested. Due to cost limitation, the simulation carried out using Network Simulation 2 (NS2) to compare the performance of WMNs between S-MPRP and AODV. Simple configurations have been done to configure the S-MPRP on the nodes. The simulation results shows S-MPRP helps WMNs produce a better result in terms of throughput, delay and normalized control overhead.","PeriodicalId":168165,"journal":{"name":"2018 4th International Conference on Computer and Information Sciences (ICCOINS)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125229787","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":"Automated Table Partitioner (ATAP) in Apache Hive","authors":"Thivviyan Amirthalingam, H. Rais","doi":"10.1109/ICCOINS.2018.8510580","DOIUrl":"https://doi.org/10.1109/ICCOINS.2018.8510580","url":null,"abstract":"Big Data and Predictive Analytics have been a game-changing paradigm in academia and industry for the past decade, inspiring numerous efforts in multiple spaces. One of many such technologies is Hadoop, an open-sourced framework based on MapReduce for highly distributive and scalable solutions. As Hadoop became more popular, other technologies were built, making it an ecosystem by itself. Currently, there are hundreds of tools and utilities that add-on to the Hadoop framework, and Apache Hive is one of the most prominent options. Hive is built as a data warehousing layer that interacts with Hadoop and the underlying filesystem, HDFS. It quickly became the market leader in query processing as it provides better user experience than MapReduce. Nevertheless, it imposes rigid structures that are unyielding to the ever changing nature of data. This paper proposes a novel mean of automating the table partitioning in Hive. It includes a lexical analyzer that reads HiveQL queries and, in return, issues Data Definition Language (DDL) for table restructure if a particular column is read more than the user-set coefficient factor. Multiple experiment made for this research have returned results that further solidified this proof of concept for its feasibility, adaptability and usability.","PeriodicalId":168165,"journal":{"name":"2018 4th International Conference on Computer and Information Sciences (ICCOINS)","volume":"5 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124996185","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":"ICCOINS 2018 Breaker Page","authors":"","doi":"10.1109/iccoins.2018.8510565","DOIUrl":"https://doi.org/10.1109/iccoins.2018.8510565","url":null,"abstract":"","PeriodicalId":168165,"journal":{"name":"2018 4th International Conference on Computer and Information Sciences (ICCOINS)","volume":"151 12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131034805","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}
Debayan Paul, Tanmay Chakraborty, S. K. Datta, Debolina Paul
{"title":"IoT and Machine Learning Based Prediction of Smart Building Indoor Temperature","authors":"Debayan Paul, Tanmay Chakraborty, S. K. Datta, Debolina Paul","doi":"10.1109/ICCOINS.2018.8510597","DOIUrl":"https://doi.org/10.1109/ICCOINS.2018.8510597","url":null,"abstract":"The demand for useful energy has increased astronomically over the past few decades, especially in building sector, due to rapid development and enhanced lifestyle. The energy performance of the building is reliant on several parameters like surrounding weather variables, building characteristics and energy usage pattern. This literature highlights a mechanism integrating the Internet of Things (IoT) and some widely used machine Mearning algorithms to create a predictive model that can be used for forecasting of smart building indoor temperature. This predictive model has been trained with on-line learning methodology for developing viability to a completely unfamiliar dataset. The paper carries out a Machine Learning based experimentation on recorded real sensor data [1] to validate the approach. Following that, the paper suggests integration of following strategy into an Edge Computing based IoT architecture for enabling the building to work in an energy-efficient fashion.","PeriodicalId":168165,"journal":{"name":"2018 4th International Conference on Computer and Information Sciences (ICCOINS)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127240834","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}
Roslinda Murad, H. S. Hussain, Hafiza Samad, Wan Asiah Tahi, Mohd Hanif Ali
{"title":"Collaborative Research Management Method in Knowledge Management: Conceptual Foundations and Research Issues","authors":"Roslinda Murad, H. S. Hussain, Hafiza Samad, Wan Asiah Tahi, Mohd Hanif Ali","doi":"10.1109/ICCOINS.2018.8510583","DOIUrl":"https://doi.org/10.1109/ICCOINS.2018.8510583","url":null,"abstract":"In this challenging world most organizations are aware that the main competitive advantage for business organization lies in the organization’s knowledge. Knowledge in most business organizations are hidden, scattered and not managed effectively and efficiently for their competitive advantage. Hence, the organization’s decision making should focus primarily on knowledge and the competitive capabilities derived from it. The Collaborative Research Management expected in helping the creation and maintenance of the system and also to develop the system by introduces the concept of knowledge management and presents a collaborative knowledge management tools.","PeriodicalId":168165,"journal":{"name":"2018 4th International Conference on Computer and Information Sciences (ICCOINS)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117142948","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}
Shiladitya Bhattacharjee, Lukman bin AB Rahim, M. N. Zakaria, Izzatdin Bin Ab. Aziz
{"title":"A Hybrid Technique for Enhancing Data Integrity in Big Data Transmission Environment","authors":"Shiladitya Bhattacharjee, Lukman bin AB Rahim, M. N. Zakaria, Izzatdin Bin Ab. Aziz","doi":"10.1109/ICCOINS.2018.8510562","DOIUrl":"https://doi.org/10.1109/ICCOINS.2018.8510562","url":null,"abstract":"Data loss primarily occurs due to huge data size, channel limitations, transmission errors and distinct security attacks. A number of individual or combined efforts have been made to control data size and channel capacity using distinct data compressions, protect numerous security hazards and transportation errors using diverse cryptographies as well as error control techniques. However, the current literature fails to address all these issues mutually with desired time and space efficiencies. Therefore, this research work suggests a hybrid technique which comprises an innovative pattern generation and a new error restraint technique for handling any numbers of isolated or incessant transmission errors. The pattern strings are generated in this mechanism by using a newly designed pattern table. A distinctive lossless compression technique is further incorporated within it to control data size and integrity. Experimented results indicate that the planned hybrid technique is competent to decrease the data loss and errors in compare to other existing technique by offering low Information Loss percentage and high SNR. The obtained results also display its time and space efficiencies by producing higher Compression Percentage and Throughput.","PeriodicalId":168165,"journal":{"name":"2018 4th International Conference on Computer and Information Sciences (ICCOINS)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126645235","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}
N. Zamin, Hazrita Ab Rahim, K. Savita, E. Bhattacharyya, Maryam Zaffar, Siti Nor Katijah Mohd Jamil
{"title":"Learning Block Programming using Scratch among School Children in Malaysia and Australia: An Exploratory Study","authors":"N. Zamin, Hazrita Ab Rahim, K. Savita, E. Bhattacharyya, Maryam Zaffar, Siti Nor Katijah Mohd Jamil","doi":"10.1109/ICCOINS.2018.8510586","DOIUrl":"https://doi.org/10.1109/ICCOINS.2018.8510586","url":null,"abstract":"Over the past decade, there is a growing interest in block-based programming that aims support early learning and teaching of programming for young children. Block-based programming is suitable for children aged between 8 to 12 years old who are too young to understand and learn the logic and scripting language in view of their low maturity level and lack of exposure to programming. However, the visual Integrated Development Environment (IDE) of block programming allows children aged between 8 to 12 years old to quickly grab the underlying logics, code the program and solve the given problem. This paper explores the learning of block programming using Scratch programming among schoolchildren between the ages of 9 to 11 years old. The school children are characterized into three categories who are (1) Australian kids based in Perth, (2) Malaysian kids based in Perth and (3) Malaysian kids based in Kuala Lumpur. These school children have been selected as they have been exposed to Scratch programming through a week long session of programming camp. The preliminary analysis indicates that the children have enjoyed learning Scratch programing. They feel the language is fun and easy to learn. They are very interested to learn more and would eventually like to master the programming language. They look forward to enrolling to the Scratch programing classes in schools if it is being offered and even as programs conducted in external classes. The findings gathered are still preliminary in nature, therefore, a much-detailed study needs to be carried out before these findings can be generalized and concluded. The learning of programming like Scratch has indirectly promoted the learning of Science, Technology, Engineering and Mathematics (STEM) in Malaysia and Australia.","PeriodicalId":168165,"journal":{"name":"2018 4th International Conference on Computer and Information Sciences (ICCOINS)","volume":"4 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113981485","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":"Adopting Centroid and Amended Trilateration for better accuracy of range-based non-GPS localization","authors":"Marina Md Din, N. Jamil, Nik Fariz Nik Ahmad Aziz","doi":"10.1109/ICCOINS.2018.8510605","DOIUrl":"https://doi.org/10.1109/ICCOINS.2018.8510605","url":null,"abstract":"There has been massive amount of research have been conducted in the area of indoor positioning systems specifically it's upwards research trending in Localization Based Services (LBS) within a non-open space environment or in the vicinity of high rise buildings due to the incapability of Global Positioning System (GPS) to do so. Most of the indoor localization techniques proposed by researchers to discover an optimized solution for indoor location tracking that has high precision and accuracy. This paper proposes a model for better accuracy on range-based localization algorithm in non-GPS positioning systems. The proposed model adopts the enhanced Kalman Filter (KF) and Centroid Localization Algorithm that can manipulate noise signal from raw Received Signal Strength Indicator (RSSI). There are 12 tests conducted in two different environments; at the area with less-obstacles and at the area with more obstacles. Three different algorithms are deployed with and without KF where a series of observations and comparisons are made to measure the effectiveness and reliability of KF implementation. Our analysis and finding show that the proposed model improves the accuracy percentage by more than 80%.","PeriodicalId":168165,"journal":{"name":"2018 4th International Conference on Computer and Information Sciences (ICCOINS)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115163832","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 Hybrid Alert System for Deaf People using Context-Aware Computing and Image Processing","authors":"Maythem K. Abbas, Bie Tong, Raid Abdulla","doi":"10.1109/ICCOINS.2018.8510584","DOIUrl":"https://doi.org/10.1109/ICCOINS.2018.8510584","url":null,"abstract":"The life of deaf people or People with Hearing Impairments (PHIs) is difficult as they have to face challenges in identifying sounds like a visitor pressing the doorbell. The traditional doorbell uses an audio signal to notify people. However, it does not notify PHIs because PHIs are insensitive to sound. Due to the lack of help from support services, PHIs may not have normal daily lives. Therefore, it is necessary to propose an efficient doorbell solution in helping PHIs to be notified, and the intangible benefit for PHIs is that it will reduce their dependency on their families in their daily lives. This paper proposes a hybrid (Image Processing and Context-Aware Computing) alert system that would notify PHIs by using visual communication signals and tactile cues instead of audio signals. Compared with the existing solutions, the enhanced face recognition feature included in the proposed system design, made it smart enough to know when the visitor’s image has to be snapped or not and how to reduce the transmission time of the image. In addition, what is context aware, and how the context aware feature will benefit the system design is also discussed. On the other hand, the intangible benefit of this research would be helping PHIs by reducing their dependency on others and building their self-confidence.","PeriodicalId":168165,"journal":{"name":"2018 4th International Conference on Computer and Information Sciences (ICCOINS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132115345","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}