{"title":"Synthesis of Reversible Logic Using Enhanced Genetic Programming Approach","authors":"M. Y. Abubakar, Low Tang Jung","doi":"10.1109/ICCOINS.2018.8510602","DOIUrl":"https://doi.org/10.1109/ICCOINS.2018.8510602","url":null,"abstract":"A new enhanced reversible logic circuit synthesis method was developed using reversible gates that include NOT, CNOT (Feynman), Toffoli, Fredkin, Swap, and Peres gates. The synthesis method was done using newly developed genetic programming. Usually previous synthesis methods that uses genetic algorithms or other similar evolutionary algorithms suffers a problem known as blotting which is a sudden uncontrolled growth of an individual (circuit), which may render the synthesis inefficient because of memory utilization, making the algorithm difficult to continue running and eventually stack in a local minima, there for an optimized reversible circuit may not be generated. In this method the algorithm used was blot free, the blotting was carefully controlled by fixing a suitable length and size of the individuals in the population. Following this approach, the cost of generating circuits was greatly reduced giving the algorithm to reach the end of the last designated generation to give out optimal or near optimal results. The results of the circuits generated using this method were compared with some of the results already in the literature, and in many cases, our results appeared to be better in terms of gate count and quantum cost metrics.","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":"114257781","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 List Reviewer Page","authors":"","doi":"10.1109/iccoins.2018.8510593","DOIUrl":"https://doi.org/10.1109/iccoins.2018.8510593","url":null,"abstract":"","PeriodicalId":168165,"journal":{"name":"2018 4th International Conference on Computer and Information Sciences (ICCOINS)","volume":"24 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":"114636214","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":"Hybrid Swarm Intelligence Algorithms with Ensemble Machine Learning for Medical Diagnosis","authors":"Qasem Al-Tashi, H. Rais, S. J. Abdulkadir","doi":"10.1109/ICCOINS.2018.8510615","DOIUrl":"https://doi.org/10.1109/ICCOINS.2018.8510615","url":null,"abstract":"Disease Diagnosis still an open problem in current research. The main characteristic of diseases diagnostic model is that it helps physicians to make quick decisions and minimize errors in diagnosis. Current existing techniques are not consistent with all diseases datasets. While they achieve a good accuracy on specific dataset, their performance drops on other diseases datasets. Therefore, this paper proposed a hybrid Dynamic ant colony system three update levels, with wavelets transform, and singular value decomposition integrating support vector machine. The proposed method will be evaluated using five benchmark medical datasets of various diseases from the UCI repository. The expected outcome of the proposed method seeks to minimize subset of features to attain a satisfactory disease diagnosis on a wide range of diseases with the highest accuracy, sensitivity, and specificity","PeriodicalId":168165,"journal":{"name":"2018 4th International Conference on Computer and Information Sciences (ICCOINS)","volume":"64 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":"121588265","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":"Single-hop Packet Delivery Rate in V2V Safety Communications for Worst-case Highway Scenarios","authors":"B. M. Mughal, Low Tang Jung, A. Wagan","doi":"10.1109/ICCOINS.2018.8510608","DOIUrl":"https://doi.org/10.1109/ICCOINS.2018.8510608","url":null,"abstract":"Ensuring maximum data packet delivery rate is crucial in the vehicle-to-vehicle (V2V) safety (broadcast) communication. The highly dynamic topology of vehicles on the road makes it difficult to appropriately quantify different quality of service parameters e.g. packet delivery rate. High packet delivery rate is difficult to achieve in periodic safety communications with broadcast as the default communication mechanism. A handful of transmission power control and beacon generation control methods have been proposed by researchers to enhance packet delivery in V2V communications. These methods however were lacking in the focus on realistic worst-case scenarios. In this paper, optimal combinations of transmission range and beacon generation interval are presented in the context of different packet delivery rates for worst-case scenarios. As such, the effectiveness of this approach was measured through extensive simulations based on the realistic worst-case scenarios on a highway.","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":"131795589","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 TOC","authors":"","doi":"10.1109/iccoins.2018.8510604","DOIUrl":"https://doi.org/10.1109/iccoins.2018.8510604","url":null,"abstract":"","PeriodicalId":168165,"journal":{"name":"2018 4th International Conference on Computer and Information Sciences (ICCOINS)","volume":"15 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":"134149004","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 Fuzzy Index Tracking Multi-Objective Approach to Stock Data Analytics","authors":"Huiming Zhang, J. Watada","doi":"10.1109/ICCOINS.2018.8510576","DOIUrl":"https://doi.org/10.1109/ICCOINS.2018.8510576","url":null,"abstract":"Index tracking is an passive strategy in portfolio management, it mimics the performance of a benchmark index to construct portfolios for obtaining the average return of the target market. Index tracking has become popular in investors because it possesses the advantages of low cost, high liquidity and lower risk. This paper introduced sensitivity analysis to construct a fuzzy multi-objective index tracking portfolio model with value at risk (SA-IT-VAR-FMOPM) when return rate was set as parabolic fuzzy variable, the sensitivity and VaR factors were considered in the model. An improved particle swarm optimization (IPSO) algorithm was used to search optimal solution for multi-objective problem. To verify the effective of the proposed model, Dow 30 index data were selected to the empirical experiment, the results show the fuzzy multi-objective index tracking portfolio model which considered the sensitivity and VaR factors can obtain more stable portfolio and achieve the average return of target market.","PeriodicalId":168165,"journal":{"name":"2018 4th International Conference on Computer and Information Sciences (ICCOINS)","volume":"115 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":"116598394","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}
Haikal Hafiz Kadar, Putri ‘Amirah Abdul Rafee, Sera Syarmila Sameon
{"title":"Internet of Things (IoT) and Water Crisis","authors":"Haikal Hafiz Kadar, Putri ‘Amirah Abdul Rafee, Sera Syarmila Sameon","doi":"10.1109/ICCOINS.2018.8510561","DOIUrl":"https://doi.org/10.1109/ICCOINS.2018.8510561","url":null,"abstract":"In the coming years, technology will impact the water crisis experience in many ways. Internet of Things (IoT) continues to confirm its important position in the context of Information and Communication Technologies and the development of society. The purpose of this proposing SMART2L is to find out the potential of IoT to be a part of the effort to curb the problem of water crisis and manage water resources efficiently. Further, efforts are necessary for releasing the full potential of IoT systems and technologies. Therefore, this paper presents a study about IoT that stands to change dramatically the way it impacts on the water crisis in Malaysia. On the other hand, IoT also brings tremendous challenges to water management in Malaysia. Hence, this paper also presents the perspective on the challenges of SMART2L in delivering its service to provide the assistance in solving water crisis especially in managing water resources.","PeriodicalId":168165,"journal":{"name":"2018 4th International Conference on Computer and Information Sciences (ICCOINS)","volume":"2 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":"126138285","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}
Mubeen Aslam, Lukman bin AB Rahim, M. Hashmani, J. Watada
{"title":"Domain Specific Modelling Language of PIM for OSSS on Infrastructure Cloud Service Model","authors":"Mubeen Aslam, Lukman bin AB Rahim, M. Hashmani, J. Watada","doi":"10.1109/ICCOINS.2018.8510591","DOIUrl":"https://doi.org/10.1109/ICCOINS.2018.8510591","url":null,"abstract":"Migration of legacy application is performed by many organizations. Benefits of Cloud computing is still hidden from many organizations and they are unaware of working of Open source simulation software(OSSS) on IaaS, as a service. Open source is a different way out where everybody is free to change the code according to needs. The concept behind constructing a Domain Specific Modeling Language for OSSS on IaaS, is to share the source code for modification, improvement and dissemination. It would be out of the world if we envisage the future of cloud computing and open source simulation software, side by side. OSSS having major characteristics of freedom and community-based collaboration, strongly binds OSSS and cloud computing. Less programming, less expertise, new opportunities, strategic tools, cost effective, etc. could be the basic motives for this approach to be popular in future. In this article, we suggest that a DSML of targeted PIM for OSSS based on ADM over IaaS can add to the productivity and applicability of cloud computing.","PeriodicalId":168165,"journal":{"name":"2018 4th International Conference on Computer and Information Sciences (ICCOINS)","volume":"25 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":"125242249","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":"Optimization of Schizophrenia Diagnosis Prediction using Machine Learning Techniques","authors":"Anant V. Nimkar, Divesh R. Kubal","doi":"10.1109/ICCOINS.2018.8510599","DOIUrl":"https://doi.org/10.1109/ICCOINS.2018.8510599","url":null,"abstract":"The objective of this paper is to automatically diagnose the mental state disorder named schizophrenia by using multimodal features which are extracted from Magnetic Resonance Imaging (MRI) brain scans. The aim is to achieve highest possible classification (binary) accuracy to achieve best possible prediction of the schizophrenia diagnosis. The importance of feature selection in combination with fine-tuning the parameters of Machine Learning classifiers to solve this problem is explained. Various supervised Machine Learning classifiers were employed and compared with themselves and then with existing systems. The proposed solution achieved AUC score of 0.9473 and an accuracy of 0.9412 as opposed to till date best existing system’s AUC score of 0.928.","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":"127082920","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}
Chooi Shi Teoh, Ahmad Kamil Mahmood, Suhazimah Dzazali
{"title":"Cyber Security Challenges in Organisations: A Case Study in Malaysia","authors":"Chooi Shi Teoh, Ahmad Kamil Mahmood, Suhazimah Dzazali","doi":"10.1109/ICCOINS.2018.8510569","DOIUrl":"https://doi.org/10.1109/ICCOINS.2018.8510569","url":null,"abstract":"This paper presents challenges in cyber security implementation at organisational level. This research is based on a case study on government sector in Malaysia deploying qualitative approach using semi-structured interviews with key officers in the organization. The data were analysed using Grounded Theory. The findings clustered under three pillars of success namely People, Process and Technology. Under the pillar of People, the challenges are lack of skills, cyber security is everyone’s responsibilities and human error, whilst under Process, challenges identified are lack of implementation plan, wrongly placed human resource and lack of budget. The challenge in Technology is that it moves too fast. The findings are useful for the cyber security policy makers and implementers.","PeriodicalId":168165,"journal":{"name":"2018 4th International Conference on Computer and Information Sciences (ICCOINS)","volume":"1 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":"121786698","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}