MALAYSIAN JOURNAL OF COMPUTING最新文献_第4页

FORECASTING FRESH WATER AND MARINE FISH PRODUCTION IN MALAYSIA USING ARIMA AND ARFIMA MODELS 利用arima和arfima模型预测马来西亚淡水和海鱼产量

MALAYSIAN JOURNAL OF COMPUTING Pub Date : 2018-12-31 DOI: 10.24191/mjoc.v3i2.4887

P. Mah, N. A. M. Ihwal, N. Azizan

引用次数: 4

A COMPARATIVE STUDY OF UNIVARIATE TIME SERIES MODELLING FOR NATURAL RUBBER PRODUCTION IN MALAYSIA 马来西亚天然橡胶生产单变量时间序列模型的比较研究

MALAYSIAN JOURNAL OF COMPUTING Pub Date : 2018-12-31 DOI: 10.24191/mjoc.v3i2.4888

P. Mah, F. N. Buhary, N. Abdullah, S. Saad

{"title":"A COMPARATIVE STUDY OF UNIVARIATE TIME SERIES MODELLING FOR NATURAL RUBBER PRODUCTION IN MALAYSIA","authors":"P. Mah, F. N. Buhary, N. Abdullah, S. Saad","doi":"10.24191/mjoc.v3i2.4888","DOIUrl":"https://doi.org/10.24191/mjoc.v3i2.4888","url":null,"abstract":"Malaysia is one of the top countries that produces natural rubber and was ranked sixth place globally. The earnings from natural rubber products are making billions of ringgit for the country. However, over the past years the natural rubber production in Malaysia has been inconsistent and the deficiencies in the production can affect Malaysia’s economy. Therefore, it is important for relevant agencies and departments to understand the patterns and trends of natural rubber production in Malaysia besides having the ability to forecast. Hence, the integrated autoregressive moving average (ARIMA), seasonal autoregressive moving average (SARIMA) and the seasonal Holt-Winter’s model were being considered for the purpose of modelling and forecasting this study. The forecast accuracy criteria used to evaluate the performance of the models are the root mean square error (RMSE) and mean absolute percentage error (MAPE). The results showed that the seasonal Holt-Winter’s model appeared to be the best model as it yielded the lowest RMSE and MAPE values. The seasonal Holt-Winter’s model, however, is not a good choice of model as it was unable to forecast six months ahead values. On the other hand, the SARIMA model had a better forecast ability when forecasting the values for the same duration. Therefore, the SARIMA model is taken to be the model in forecasting the natural rubber production in Malaysia for that period. This study has shown that the best fit model that fulfil all the forecast accuracy criteria may not have the best forecast ability.","PeriodicalId":129482,"journal":{"name":"MALAYSIAN JOURNAL OF COMPUTING","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114375393","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}

引用次数: 3

PAIRWISE CLUSTERS OPTIMIZATION AND CLUSTER MOST SIGNIFICANT FEATURE METHODS FOR ANOMALY-BASED NETWORK INTRUSION DETECTION SYSTEM (POC2MSF) 基于异常的网络入侵检测系统(poc2msf)成对聚类优化和聚类最显著特征方法

MALAYSIAN JOURNAL OF COMPUTING Pub Date : 2018-12-31 DOI: 10.24191/mjoc.v3i2.3598

Gervais Hatungimana

{"title":"PAIRWISE CLUSTERS OPTIMIZATION AND CLUSTER MOST SIGNIFICANT FEATURE METHODS FOR ANOMALY-BASED NETWORK INTRUSION DETECTION SYSTEM (POC2MSF)","authors":"Gervais Hatungimana","doi":"10.24191/mjoc.v3i2.3598","DOIUrl":"https://doi.org/10.24191/mjoc.v3i2.3598","url":null,"abstract":" Anomaly-based Intrusion Detection System (IDS) uses known baseline to detect patterns which have deviated from normal behavior. If the baseline is faulty, the IDS performance degrades. Most of researches in IDS which use k-centroids-based clustering methods like K-means, K-medoids, Fuzzy, Hierarchical and agglomerative algorithms to baseline network traffic suffer from high false positive rate compared to signature-based IDS, simply because the nature of these algorithms risk to force some network traffic into wrong profiles depending on K number of clusters needed. In this paper we propose alternate method which instead of defining K number of clusters, defines t distance threshold. The unrecognizable IDS; IDS which is neither HIDS nor NIDS is the consequence of using statistical methods for features selection. The speed, memory and accuracy of IDS are affected by inappropriate features reduction method or ignorance of irrelevant features. In this paper we use two-step features selection and Quality Threshold with Optimization methods to design anomaly-based HIDS and NIDS separately. The performance of our system is 0% ,99.9974%, 1,1 false positive rates, accuracy , precision and recall respectively for NIDS and 0%,99.61%, 0.991,0.978 false positive rates, accuracy, precision and recall respectively for HIDS.","PeriodicalId":129482,"journal":{"name":"MALAYSIAN JOURNAL OF COMPUTING","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115057370","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}

引用次数: 0

COEFFICIENT BOUNDS FOR A CERTAIN SUBCLASS OF CLOSE-TO-CONVEX FUNCTIONS ASSOCIATED WITH THE KOEBE FUNCTION 与koebe函数相关的某一类近凸函数的系数界

MALAYSIAN JOURNAL OF COMPUTING Pub Date : 2018-12-31 DOI: 10.24191/mjoc.v3i2.4601

S. Rathi, S. C. Soh, A. Akbarally

引用次数: 3

META-MODELING CONSTRUCTS FOR REQUIREMENTS REUSE (RR): SOFTWARE REQUIREMENTS PATTERNS, VARIABILITY AND TRACEABILITY 需求重用(rr)的元建模构造:软件需求模式、可变性和可追溯性

MALAYSIAN JOURNAL OF COMPUTING Pub Date : 2018-12-31 DOI: 10.24191/mjoc.v3i2.4181

B. Ya'u, Azlin Nordin, Norsaremah Salleh

{"title":"META-MODELING CONSTRUCTS FOR REQUIREMENTS REUSE (RR): SOFTWARE REQUIREMENTS PATTERNS, VARIABILITY AND TRACEABILITY","authors":"B. Ya'u, Azlin Nordin, Norsaremah Salleh","doi":"10.24191/mjoc.v3i2.4181","DOIUrl":"https://doi.org/10.24191/mjoc.v3i2.4181","url":null,"abstract":"Reuse is a fundamental activity, which increases quality and productivity of software products. Reuse of software artifacts, such as requirements, architectures, and codes can be employed at any developmental stage of software. However, reuse at a higher level of abstraction, for instance at requirements level, provides greater benefits in software development than when applied at lower level of abstraction for example at coding level. To achieve full benefits of reuse, a systematic approach and appropriate strategy need to be followed. Although several reuse approaches are reported in the literature, these approaches lack a key strategy to synergize some essential drivers of reuse, which include reusable structure, variability management (VM) and traceability of software artifacts. In line with this, we make our contribution in this paper by (1) presenting the concepts and importance of software requirements patterns (SRP) for reusable structure; (2) proposing a strategy, which combines three sub-disciplines of Software Engineering (SE) such as Requirements Engineering (RE), Software Product Line Engineering (SPLE) and Model-driven Engineering (MDE); (3) proposing a meta-modeling constructs, which include SRP, VM and traceability and; (4) Relationship amongst the three sub-disciplines of the SE. This is a novel approach and we believe it can support and guide researchers and practitioners in SE community to have greater benefits of reuse during software developments.","PeriodicalId":129482,"journal":{"name":"MALAYSIAN JOURNAL OF COMPUTING","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122287062","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}

引用次数: 3

WEB MINING IN CLASSIFYING YOUTH EMOTIONS 青少年情绪分类中的网络挖掘

MALAYSIAN JOURNAL OF COMPUTING Pub Date : 2018-06-29 DOI: 10.24191/mjoc.v3i1.4748

Zura Izlita Razak, S. A. Rahman, S. Mutalib, Nurzeatul Hamimah Abdul Hamid

{"title":"WEB MINING IN CLASSIFYING YOUTH EMOTIONS","authors":"Zura Izlita Razak, S. A. Rahman, S. Mutalib, Nurzeatul Hamimah Abdul Hamid","doi":"10.24191/mjoc.v3i1.4748","DOIUrl":"https://doi.org/10.24191/mjoc.v3i1.4748","url":null,"abstract":"Social media sites are websites used as mediums to create and share various types of contents over the internet. These sites can also be accessed through applications on mobile gadgets. Different social media sites are available for free, and most teenagers or youths have at least one active account. They use social media sites to connect and share their online profiles, daily activities, stories, and emotions. Depending on their social settings, their activities may or may not be seen by others. One of the latest trends that is spreading over the social media is the Korean Pop entertainment or popularly known as KPop. Over the social media, youths share and express how they feel about their Korean celebrities, music, and drama. However, the issue of excessive sharing of emotion-sharing over social media may increase the risk of mental illness and affect their mental health. Their obsession to keep up-to-date with their idols might lead or cause adverse consequences on their emotional states of mind. Thus, the aim of this research is to study the changes of youths’ emotions in two different countries which are Malaysia and Korea that are related to the KPop trend. We extract texts from tweets from Twitter social media sites using the Twitter API as the basis of our study. Then, the keyword 'KPop' is used to filter the tweets. Web mining model classifies the 12,000 tweets into six emotion categories, which are joy, sadness, fear, anger, disgust, and surprise. The system then records the emotion changes and the triggering events respectively. ","PeriodicalId":129482,"journal":{"name":"MALAYSIAN JOURNAL OF COMPUTING","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114548544","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}

引用次数: 6

ON THE GLOBAL STABILITY OF CHOLERA MODEL WITH PREVENTION AND CONTROL 霍乱模型的全局稳定性与防控

MALAYSIAN JOURNAL OF COMPUTING Pub Date : 2018-06-29 DOI: 10.24191/mjoc.v3i1.4812

M. Ibrahim, A. A. Ayoade, O. J. Peter, F. Oguntolu

引用次数: 6

CLASSIFICATION OF PADDY WEED LEAF USING NEURO-FUZZY METHODS 稻田杂草叶片的神经模糊分类

MALAYSIAN JOURNAL OF COMPUTING Pub Date : 2018-06-29 DOI: 10.24191/mjoc.v3i1.4883

Mohd Zulhilmi Ab Jamil, S. Mutalib, S. A. Rahman, Z. A. Aziz

引用次数: 5

SERIES SOLUTION OF TYPHOID FEVER MODEL USING DIFFERENTIAL TRANSFORM METHOD 用微分变换法求解伤寒模型

MALAYSIAN JOURNAL OF COMPUTING Pub Date : 2018-06-29 DOI: 10.24191/mjoc.v3i1.4884

O. J. Peter, O. B. Akinduko, C. Ishola, O. Afolabi, A. B. Ganiyu

引用次数: 6

WINDOWS PRIVILEGE ESCALATION THROUGH NETWORK BACKDOOR AND INFORMATION MINING USING USB HACKTOOL 利用usb黑客工具通过网络后门进行Windows特权升级和信息挖掘

MALAYSIAN JOURNAL OF COMPUTING Pub Date : 2018-06-29 DOI: 10.24191/mjoc.v3i1.4811

Hidayat Ul Hazazi Ab Wahab, Jasni Mohamad Zain

引用次数: 0