bluuebunny/crossref_metadata_2025 huggingface dataset:
Performance Analysis of Conventional, Hybrid and Optimal PV Array Configurations of Partially Shaded Modules
Authors:   Research Scholar, Dept. of EEE, SVUCE, SV University, Tirupati., Raju *V. Bala , Chengaiah Dr. Ch. ,   Professor, Dept. of EEE, SVUCE, SV University, Tirupati.
Published: November 2019

In this paper, modeling and performance analysis of conventional configurations are Series-Parallel (SP), Bridge-Linked (BL), Honey-Comb (HC), Total-Cross-Tied(TCT) and proposed hybrid configurations are SP-TCT, BL-TCT, HC-TCT, BL-HC and modified BL(MBL), modified HC(MHC), proposed optimal interconnection type configurations of a 5x5 size solar PV array under ten different partial shading cases it causes shading losses and compare the best configuration with respect to array power, number of interconnections or ties required between shaded modules in the array. The proposed optimal interconnection method reduces the number of ties required between modules and these ties are based on the position of number of shaded modules in the entire solar PV array. For the performance analysis of above 11 configurations, total ten shading cases are considered and compare the result with one un-shaded case-U of an irradiance 1000 W/m2. The PV module parameters of Vikram Solar ELDORA 270 are used for modeling of above 11 conventional and proposed PV array configurations and simulate the models in MATLAB/ Simulink software.
Antenna Array Weight Synthesis for Low Side Lobe Levels using Window Functions
Authors:   Ph.D scholar, JNTUK, Kakinada, India., Rao* S.Venkata Rama , Prasad A.Mallikarjuna ,   Professor of ECE, University College of Engineering, JNTUK, Kakinada, India., Rani Ch.Santhi ,   Professor of ECE, USHA RAMA College of Engineering and Technology, Telaprolu, Near Gannavaram, India.
Published: November 2019

A lot of research is being carried out to reduce side lobe levels (SSLs) in the radiation pattern of antenna arrays. A number of novel optimization techniques have been developed over the years and adapted for this purpose. In this paper, a number of window functions are applied to suppress the maximum side lobe level (MSLL) in linear antenna arrays. The window functions Bartlett, Taylor, Hanning, Barthann, Hamming, Gaussian, Blackman, Chebyshev, Blackman-Harris and Kaiser are considered in the simulation. The optimized pattern for a 10 element linear antenna array and corresponding normalized window tappers for every window are presented. Finally the efficiency of all windows is compared in terms of their computed parameters.
The Moderating Effect of Religious Factor on the Relationship between Environmental Factor and Entrepreneurial Awareness among Final Year Students of Crawford University, Igbesa
Authors:   Universiti Utara Malaysia., Ajeyalemi Opemipo , Jaganathan Mathivannan ,   Universiti Utara Malaysia., Lucky EsuhOssai-Igwe ,   Universiti Utara Malaysia.
Published: November 2019

It has been observed that previous findings in this area of study are inconsistent. While some claimed significant relations others revealed insignificant and negative relations. A situation of this nature warrants a contingency relationship between the independent and dependent variables so as to clearly explain their relationship. Due to this therefore, this particular study investigates the moderating role of religious factor on the relationship between environmental factors and effective entrepreneurial awareness among the final year students of Crawford University, Igbesa. The study adopted a cross-sectional study research design with questionnaire research survey were 187 questionnaires were distributed. A systematic research sampling technique was employed to select 94 final year students who participated in the entrepreneurial awareness programme. The questionnaires data generated were analysed using SmartPLS 3.0 and the overall finding revealed that religious factors do not statistically and significantly moderate the relationship between environmental factors and effective entrepreneurial awareness among the final year students of Crawford University. The study then concludes that religious factors do not have the moderating power to moderate the influence of environmental factors on effective entrepreneurial awareness. The study also provides discussion on the findings as well as the limitation for future research.
A Performance on Repeated Bayesian Game Theory in Wireless Sensor Networks
Authors:   Associate Professor of MathematicsR.M.K. College of Engineering and TechnologyChennai., Chithra* S.M. , Sridevi S. ,   Assistant Professor of Mathematics, Queens College of Arts & Science (W), Thanjavur., Kavitha M. ,   Associate Professor of Mathematics, St. Peter’s institute of Higher Education and Research, Avadi, Chennai.
Published: November 2019

A Repeated Bayesian game-theoretic line of attackis usedto framecommunicationcontroller in get-up-and-go bring inmeasuring devicelinkages. In wide-ranging, the get-up-and-gostate-run of an get-up-and-go harvesting measuring deviceshow a discrepancy more melodramaticallyby means ofstage as paralleled to old-fashioned battery-powered measuring device. Therefore, every oneget-up-and-goharvesting measuring device is quick to respondto the advertisementget-up-and-go state, which is established as its sequestereddata. This computing expedient adoptsitscommunicate online of attack according to its credence in its challengers'get-up-and-gocircumstances. In attendancebe real Bayesian Nash equipoise (BNE) anywhere a measuring devicethroughget-up-and-gocomplex than its energystarting point will pick incommunicates at immovable influence and time lagor else. We confirmation how each measuring device starting point to make the most of its effectiveness purpose. What is more, we confirmation by means of virtual reality that the presentation of the Repeated Bayesian theory of on for exemplary is on your doorstep to that of a picture-perfect factson forever whereget-up-and-go environments are communal statistics to all sensors. In this section, the mathematical investigation islocated obtainable to help recognize the perceptions of the projected bank of cloud International Data Corporation (IDS) on for prototypical.
Loyalty as Mediator in the Relationship of Leadership Style and Performance: AnExamination among Commercial Banks Employees in Klang Valley, Malaysia
Authors:   School of Business Management, Universiti Utara Malaysia, Kedah, Malaysia, Darus* Amer , Kamil BidayatulAkmal Mustafa ,   School of Business Management, Universiti Utara Malaysia, Kedah, Malaysia, Ishammudin MuhdZulfadli bin ,   RHB Banking Group, Bandar BaruBangi Selangor, Malaysia
Published: November 2019

This paper attempts to present a snapshot of leadership’s style impact and influence and other related effectingreasonstowardstheemployee‘sperformanceandloyaltyinbankingindustry.Baseonreviewofpastliteratures,majorityofthestudieshadidentifiedapositiverelationshipbetweentransformational leadership and transactional leadership style toward employee loyalty and performance within the company.Thestudypopulationcomprised five headquarterofficesofcommercialbanksaroundKuala LumpurCity.Theresultofthisresearchdidsupportmostoftheresearchesdone previously inceithas been found that both leadership styles have significant (positive) relationship towards employee performance in banking industry. This paper also concluded that employee loyalty do have mediation effectbetweentransformationalleadershipandemployeeperformanceaswellasbetweentransactional leadership and employee performance. Additionally, it also proves that demographic characters do not have significant influence on employee loyalty and performance within an organization.
Determining Employee Eligibility in Equalizing Staffing Status Using the Naïve Bayes
Authors:   Faculty of Computer Science, Universitas Indo Global Mandiri Jl. Jenderal A. Yani, Palembang, Indonesia, Gustriansyah Rendra , Ramadhan Boy Gilang ,   Faculty of Medicine, UniversitasMuhammadiyah PalembangJl. JenderalSudirmanNo. 629, Palembang, Indonesia, Suhandi Nazori ,   Faculty of Computer Science, Universitas Indo Global Mandiri Jl. Jenderal A. Yani, Palembang, Indonesia, Sanmorino Ahmad ,   Faculty of Computer Science, Universitas Indo Global Mandiri Jl. Jenderal A. Yani, Palembang, Indonesia, Coyanda John Roni ,   Faculty of Computer Science, Universitas Indo Global Mandiri Jl. Jenderal A. Yani, Palembang, Indonesia
Published: November 2019

The term non-permanent employee first appeared in the rule of law, namely in Act Number 13 Year 2003 concerning Manpower.This Act has an impact on the emergence of clarity about staffing status so that the salaries obtained by employees do not match their workload.Therefore, this study aims to determine employees who are eligible to earn the same income at one of the private universities in Palembang based on university's strategic plan, namely class, employment status, membership, and education permit using the Naïve Bayes method. The results showed that the highest accuracy of predictive conclusions for non-permanent and permanent employees is 83.33%, while the lowest accuracy value is 50%.
Fakebuster: Fake News Detection System Using Logistic Regression Technique In Machine Learning
Authors:   Faculty of Computer Science and Information Technology,Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia, Mokhtar Muhammad Syahmi , Jusoh Yusmadi Yah ,   Faculty of Computer Science and Information Technology,Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia, Admodisastro Novia ,   Faculty of Computer Science and Information Technology,Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia, Pa Noraini Che ,   Faculty of Computer Science and Information Technology,Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia, Amruddin Amru Yusrin ,   MIMOS BerhadJalanInovasi 3, Technology Park Malaysia, 57000 Kuala Lumpur
Published: November 2019

The uncontrollable spread of fake news through the net is irresistible in this globalization era. Fake news dissemination cannot be tolerated as the bad impacts of it to the society is really worrying. Furthermore, this will lead to more significant problems and potential threat such as confusion, misconceptions, slandering and luring users to share provocative lies made from fabricated news through their social media to occur. Within Malaysia context, there is lack in platform for fake news detection in Malay language articles and most of Malaysians received news through their social messaging applications. Fake news can be certainly solved by the aid of artificial intelligence which includes machine learning algorithms. The objective of this project is to propose a fake news detection model using Logistic Regression, to evaluate the performance of Logistic Regression as fake news detection model and to develop a web application that allows entry of a news content or news URL. In this study, Logistic Regression was applied in detecting fake news. Model development methodology is referenced and followed in this project. Based on existing studies, Logistic Regression showed a good performance in classification task. In addition, stancedetection approach is added to improve the accuracy of the model performance. Based on analysis made, this model within stance detection approach yields an excellent accuracy using TF-IDF feature in constructing this fake news model. This model is then integrated with web service that accepts input either news URL or news content in text which is then checked for its truth level through “FAKEBUSTER” application.
Minimizing False Negatives of Measles Prediction Model: An Experimentation of Feature Selection Based On Domain Knowledge and Random Forest Classifier
Authors:   College of Computing and Informatics, Universiti TenagaNasional, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia, Ahmad* Wan MuhamadTaufik Wan , Ghani Nur Laila Ab ,   College of Computing and Informatics, Universiti TenagaNasional, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia, Drus Sulfeeza Mohd ,   College of Computing and Informatics, Universiti TenagaNasional, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia
Published: November 2019

In the context of disease prediction model, false negative error occurs when the patient is wrongly predicted as free from the disease.A prediction model development involves the process of data collection and feature selection which extracts relevant features from the dataset. Two commonly employed feature selection approaches are domain knowledge and data-driven, that suffer from bias towards past or current knowledge when applied alone.In this research, we have studied the developmentof measles prediction model by incorporating both the domain knowledge and the data-driven approaches, in particular, the Random Forest classifier.The domain expert has earlier on set the important features based uponhisprior knowledgeon measles for the purpose of minimizing the size of features. Afterward, the attributes became the input in Random Forest classifier and the least important attributes are excluded using the Mean Decrease Gini, in order to experiment its effect on the result. It is found that the removal ofseveral attributes after domain knowledge consultation can provide a good model with less false negative errors.
Investigating Significant Factors Influencing Response Time of Customer Complaint Based on Analytics Method
Authors:   Institute of Informatics and Computing in Energy, Universiti TenagaNasional, Jalan IKRAM- UNITEN, 43000 Kajang, Selangor, Saipol* HafizahFarhah Saipan , Shamsuddin Nur Tasnim ,   UNITEN Research and Development, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Cob Zaihisma Che ,   College of Computing and Informatics, Universiti TenagaNasional, Jalan IKRAM-UNITEN,43000 Kajang, Selangor, Ghani Nur Laila Ab ,   College of Computing and Informatics, Universiti TenagaNasional, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Drus Sulfeeza Mohd ,   College of Computing and Informatics, Universiti TenagaNasional, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor
Published: November 2019

The purpose of this study is to investigate significant factors that influenced duration of solving financial institutions’ customer complaint. Using raw customer complaint dataset from Consumer Financial Protection Bureau (CFPB) website, it was found that many of sub-categories are not well organized. Thus, it is important to proceed with data cleaning and data preparation steps before any analysis been performed. In this study, Artificial Neural Network (ANN) had been chosen since it can deal with non-linear relationship by using sigmoid function. Further to this, it was found that Product, Company response and Issues are the significant factors that are more likely to be solved more than one day. The use of this analysis can be particularly beneficial for related financial party that might need to assist their customer in future.
Mean Time to Failure Analysis in Shuffle Exchange Systems
Authors:   Department of Communication Technology and Network, UPM Serdang, Yunus* Nur Arzilawati Md , Othman Mohamed ,   Faculty of Engineering and Information Technology, MAHSA University, Hanapi Zurina Mohd ,   Lab of Computational Science and Theoretical PhysicInstitute of Mathematical Research, Universiti Putra Malaysia.
Published: November 2019

Multistage Interconnection Network (MIN) has been researched for the interconnection implementation of switches and multiprocessors. The topology of the interconnection, the number of stage and the switching element used in the network distinguish between each MIN's tolerance of failure.This paper introduces a topology called Replicated Shuffle Exchange Network and Replicated Augmented Shuffle Exchange Network. A replicated technique is described for making the network more reliable. The replicated technique results in reduced the Mean Time to Failure in the network. Performance measurement shows that replicated network achieve a significant improvement over a basic network have been measured.
Structured Dirichlet Smoothing Model for Digital Resource Objects
Authors:   School of Computer Sciences, UniversitiSains Malaysia, Penang, Malaysia. Department of Basic Sciences, Hashemite University, Jordan, Alma’aitah* Wafa’ Za’al , Talib Abdullah Zawawi ,   School of Computer Sciences, UniversitiSains Malaysia, Penang, Malaysia, Osman Mohd Azam ,   School of Computer Sciences, UniversitiSains Malaysia, Penang, Malaysia
Published: November 2019

Typically, the results of digital resource object retrieval are made up of whole documents. The problem is that each document contains a large number of metadata units. These units are located in a single document describing different topics. Therefore, retrieving the entire document means retrieving all these units which may be mostly irrelevant to the user‘s query. The Dirichlet smoothing model usually calculates the probability of having the query in each document and then displays the related documents basedon the query.It is therefore best to retrieve the nearest and relevant metadata units for the query regardless of which document they belong to.To achieve this, astructured Dirichlet smoothing model is proposed in this paper thatcalculates the likelihood between the query and the metadata units instead of between the query and the whole document. The experiments which were conducted on the cultural heritage CHiC2013 collectionhave shown a statistically significant improvement over the traditional Dirichlet smoothing model.
A Preliminary Systematic Performance on Critical Success Factors Categories for Big Data Analytics
Authors:   School of Computer Sciences, Universiti Sains Malaysia, Al-Sai ZaherAli , Abdullah Rosni ,   School of Computer Sciences, Universiti Sains Malaysia, Husin Mohd Heikal ,   School of Computer Sciences, Universiti Sains Malaysia, Syed-Mohamad SharifahMashita ,   School of Computer Sciences, Universiti Sains Malaysia
Published: November 2019

Big Data could be used in any industry to make effective data-driven decisions. The successful implementation of Big Data projects requires a combination of innovative technological, organizational, and processing approaches. Over the last decade, the research on Critical Success Factors (CSFs) within Big Data has developed rapidly but the number of available publications is still at a low level. Developing an understandingof the Critical Success Factors (CSFs) and their categoriesare essential to support management in making effective data-driven decisions which could increase their returns on investments.There islimited research conducted on the Critical Success Factors (CSFs) of Big DataAnalytics (BDA) development and implementation.This paper aims to provide more understanding about the availableCritical Success Factors (CSFs) categoriesfor Big Data Analytics implementation and answer the research question (RQ) “What are the existing categories of Critical Success Factors for Big Data Analytics”.Based on a preliminary Systematic Literature Review (SLR) for the available publications related to Big Data CSFs and their categories in the last twelve years (2007-2019),this paper identifiesfive categoriesfor Big Data AnalyticsCritical Success Factors(CSFs), namelyOrganization, People, Technology, Data Management, and Governance categories.
An Improved User Authentication Model for Mobile Application Systems: Statistical Assessment of User Acceptance
Authors:   Group Human Resource, SIRIM Berhad, No.1, PersiaranDato’ Menteri, PetiSurat 7035, Section 2, 40700 Shah Alam, Selangor, Malaysia., Mohamed* Kartini , Sidi Fatimah ,   Department of Computer Science, Faculty of Computer Science and Information Technology, University Putra Malaysia, 43400 Serdang, Selangor, Malaysia., Ishak Iskandar ,   Department of Computer Science, Faculty of Computer Science and Information Technology, University Putra Malaysia, 43400 Serdang, Selangor, Malaysia., Jabar Marzanah A. ,   Department of Software Engineering and Information System, Faculty of Computer Science and Information Technology, University Putra Malaysia, 43400 Serdang, Selangor, Malaysia., Hamzah Siti Raba’ah ,   Department of Professional Development and Continuing Education, Faculty of Educational Studies, University Putra Malaysia, 43400 Serdang, Selangor, Malaysia.
Published: November 2019

One of the reasons mobile phones become one of the worldwide commonly usedcommunication devices nowadays is because they allow the installation of various mobile apps which are mostly interesting and useful to mobiles users. Unfortunately, mobile apps involve transmissions of digital data wirelessly and vulnerable to hacking activities. An improved user authentication modelhas been introduced in this study. Its strength in preventing hacking activities and the level of user acceptance are being analyzed. The strength is built based on the multi-factoring, ciphering and watermarking techniques being introduced in the model. It is technically measured based on the vulnerability and penetration tests done by an appointed independent party but excluded in this paper. On the other hand, the level of acceptance is measured using a quantitative method. Even though the quantitative method in this study undergoes expert review, pilot study and survey, this paper only focuses on the survey since its outcome is used to conclude the level of acceptance by mobile users. The statistical analysis results indicate that mobile users perceive ciphering technique contributes the most to this strength while watermarking technique has the strongest relationshipsandbecome the dominant factor in making the model acceptable by users.
Performance on Readiness of UNITEN Postgraduate Students for MOOC-based Learning
Authors:   College of Graduate Studies, Universiti Tenaga Nasional, 43000 Kajang, Selangor, Malaysia, Yusoff S.N.A Che , Chen S.D. ,   College of Graduate Studies, Universiti Tenaga Nasional, 43000 Kajang, Selangor, Malaysia, Jais J. ,   College of Graduate Studies, Universiti Tenaga Nasional, 43000 Kajang, Selangor, Malaysia, Din N. M. ,   College of Graduate Studies, Universiti Tenaga Nasional, 43000 Kajang, Selangor, Malaysia
Published: November 2019

This paper presents a study on the readiness of UNITEN postgraduate students for Massive Open Online Courses (MOOC) based learning. A survey was conducted, involving 123 respondents consisted of a good mix of PhD and master by research, mixed mode and coursework programmes in engineering, IT and business management. The results show that UNITEN postgraduate students in general have excellent readiness for MOOC-based learning in terms of technology access, online communication skills, independent learning, online content delivery, online discussion and awareness. This study concluded that UNITEN postgraduate students welcomed MOOC-based learning. It’s therefore recommended to proceed for the implementation phase of MOOC-based learning.
User-Centric Learning for Multiple Access Se-lections
Authors:   Institute of Informatics and Computing Energy, Universiti TenagaNasional, Malaysia, Dzulkifly Sumayyah , Hashim Wahidah ,   Institute of Informatics and Computing Energy, Un-iversiti TenagaNasional, Malaysia, Ismail Ahmad Fadzil ,   IIUM Strategic Technologies and Engineering Research Unit, Research Management Center, International Islamic Uni-versity Malaysia, Dohler Mischa ,   Department of Informatics, 30 Aldwych, King’s Col-lege London, WC2B 4BG London, United Kingdom
Published: November 2019

We are in the age where business growth is based on how user-centric your services or goods is. Current research on wireless system is more focused on ensuring that user could achieve optimal throughput with minimal delay, disregarding what user actually wants from the services. Looking from con-nectivity point of view, especially in urban areas these days, there are multiple mobile and wireless access that user could choose to get connected to. As people are looking toward machine automa-tion, we understand that the same could be done for allowing users to choose services based on their own requirement. This paper looks into unconventional, non-disruptive approach to provide mobile services based on user requirements. The first stage of this study is to look for user association from three new perspectives. The second stage involved utilizing a reinforcement learning algorithm known as q-learning, to learn from feedbacks to identify optimal decision in reaching user-centric requirement goal. The outcome from the proposed deployment has shown significant improvement in user association with learning aware solution.
Chemical Composition of Melaleuca Cajuputi Powell
Authors:   Institute of Energy Infrastructure (IEI),Universiti Tenaga Nasional (UNITEN),Putrajaya Campus, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia., Sharif* Zainon Mat , Kamal Alifah Farhana ,   College of Graduate Student (COGS), Universiti Tenaga Nasional (UNITEN), Putrajaya Campus, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia., Jalil Nurul Jannah ,   College of Graduate Student (COGS), Universiti Tenaga Nasional (UNITEN),Putrajaya Campus, Jalan IKRAM-UNITEN, 43000 Kajang, Selangor, Malaysia.
Published: November 2019

Essential oil extracted from Melaleucagenus has been widely used worldwidefor many purposes. Most of the its has been reported as the source of phytochemical compound where mostly have anti-inflammatory, antiulcer, antioxidant, antimicrobial and insecticide properties. Thus, three objectives that have been highlighted in this study are (1) to extract essential oil (cajuput oil) from fresh leaves of MelaleucacajuputiPowell using simple steam distillation,(2) to determine the chemical components of MelaleucacajuputPowell essential oil using GCMS and (3) to compare the chemical compound and its percentage with the previous study.Results found that there were 41 chemical compounds that have been identified. The chemical compounds were monoterpenes such as α-terpinolene, α-pinene, sabinene, 4-terpineol and γ-terpinene. The highest chemical compounds found were caryophyllene (20.16%), α-terpinolene (17.0%),α-humulene (11.91%), β-elemene (7.62%) and γ-terpinene (5.62%). In previous research, 1,8-cineole chemical compound was foundhowever, in this study a different chemical compound found, it was caryophyllene, this is due to different geographic area.As a conclusion, most of the compounds found was aromatic, antibacterial andinsecticide properties.
A Conceptual Model of Motivational Factors of Knowledge Transfer for Hospitals
Authors:   College of Graduate Studies, Universiti Tenaga Nasional Jalan Ikram-UNITEN, Kajang, Selangor Darul Ehsan, Malaysia, Al-Dalaien Ahmad Aabed Al-Hayy , Drus Sulfeeza Mohd ,   Department of Information Systems, Universiti Tenaga Nasional Jalan Ikram-UNITEN, Kajang, Selangor Darul Ehsan, Malaysia, Kasim Hairoladenan ,   College of Graduate Studies, Universiti Tenaga Nasional Jalan Ikram-UNITEN, Kajang, Selangor Darul Ehsan, Malaysia
Published: November 2019

Knowledge transfer is vital for the successful organization. Majority of previous studies focused on business and educational organization. Few in the field dealt with knowledge transfer in hospitals. This study aims to develop a conceptual model for knowledge transfer in hospitals. Based on the literature review, this study proposes a conceptual framework for knowledge transfer motivation in hospitals based on three motivational aspects; (i) the extrinsic motivational factors such as the promotions and appraisals, (ii) the intrinsic motivational factors such as the altruism, and absorptive capacity, and (iii) the ideal distribution of extrinsic and intrinsic based on the quality and quantity of knowledge transfer that conducted by the knowledge sources and recipients. The conceptual model was tested using a data collected for a pilot study.
Verification of Performances Enhancement by Array Configuration Technique in Patch Antenna Design for Energy Harvesting Applications
Authors:   College of Engineering, University Tenaga NasionalPutrajaya, Malaysia, Hamid* Saidatul Hamidah Abd , Hock Goh Chin ,   College of Engineering, University Tenaga Nasional Putrajaya, Malaysia, Ferdous Nayla ,   College of Engineering, University Tenaga Nasional Putrajaya, Malaysia
Published: November 2019

This paper presented the analysis of element in designing a micro strip patch antenna. A single element of the circular patch antenna and 1x2 array elements of circular patch antennas were simulated, fabricated, measured, analyzed, and discussed in this work. Array configuration study is the essence of this research. In order to improve the performances of an antenna, the implementation of array configuration is one of the techniques in designing the patch antenna. Based on the results, it has been verified that an array configuration technique works in enhances and improves the patch antenna performances. This paper also discussed the fabrication process involves and comparison of performances between simulation and measurement.
Landslide Susceptibility Assessment for Cameron Highlands using Analytical Hierarchy Process
Authors:   College of Graduate Studies, UniversitiTenagaNasionalJalan IKRAM-UNITEN, Kajang 43000, Selangor, Malaysia, Hanafiah* Muhammad Izzat Mohd , Solemon Badariah ,   Institute of Energy Infrastructure,UniversitiTenagaNasional, Jalan IKRAM-UNITEN, Kajang 43000, Selangor, Malaysia, Omar Rohayu ,   Institute of Energy Infrastructure,UniversitiTenagaNasional, Jalan IKRAM-UNITEN, Kajang 43000, Selangor, Malaysia, Roslan Rasyikin ,   Institute of Energy Infrastructure,UniversitiTenagaNasional, Jalan IKRAM-UNITEN, Kajang 43000, Selangor, Malaysia, Wahab Warishah Abdul ,   Institute of Energy Infrastructure,UniversitiTenagaNasional, Jalan IKRAM-UNITEN, Kajang 43000, Selangor, Malaysia, Baharuddin Intan Nor Zuliana ,   Institute of Energy Infrastructure,UniversitiTenagaNasional, Jalan IKRAM-UNITEN, Kajang 43000, Selangor, Malaysia, Gunasagaran Vigneswaran ,   College of Graduate Studies, UniversitiTenagaNasional, Jalan IKRAM-UNITEN, Kajang 43000, Selangor, Malaysia
Published: November 2019

Landslides susceptibility assessment has been conducted to identify the landslide-prone areas by using Geographical Information System (GIS) through Analytical Hierarchy Process (AHP) technique. Ten predictive or causative factors, such as digital elevation map (DEM), aspect, slope, curvature, geology, land use, fault, river, road and rainfall are used to map the susceptibility of landslides.Five classification zones of landslide susceptibility area are classes to very high, high, moderate, low and very low zone. The classification zones were compared and validated using a landslide inventory map produce from the integration of historical data and field survey using area under curve (AUC) method. The AHP techniquefinalresult shows 78.0% accuracy of landslide prediction, which considered as a fair result and it is acceptable. The mitigation measures for planning safe urbanization can be formulated using this susceptibility map.
Interpretation of Ground Penetrating Radar Dataset using Normalised Cross-Correlation Technique
Authors:   Institute of Energy Infrastructure,UniversitiTenaga Nasional,43000 Kajang, Malaysia, Wahab* W. A. , Zakaria W. Z. ,   Institute of Energy Infrastructure,UniversitiTenaga Nasional,43000 Kajang, Malaysia, Omar R. C. ,   Institute of Energy Infrastructure,UniversitiTenaga Nasional,43000 Kajang, Malaysia, Roslan R. ,   Institute of Energy Infrastructure, Universiti Tenaga Nasional,43000 Kajang, Malaysia, Jaafar J. ,   Department of Surveying Science and Geomatics, UniversitiTeknologi MARA, 40450 Shah Alam, Malaysia, Suldi A. M. ,   Department of Surveying Science and Geomatics, UniversitiTeknologi MARA, 40450 Shah Alam, Malaysia
Published: November 2019

Ground Penetrating Radar (GPR) is one of the latest non-destructive geophysical technology and most widely used in detecting underground utilities. GPR can detect both metal and non-metal, however, it is unable to identify the type of underground utility object. Many researchers come out with their techniques to interpret the GPR image. The current method requires experience in interpretation. Thus, in this study, a new method to detect underground utility utilizing the Normalised Cross-Correlation (NCC) template matching technique is proposed. This technique will reduce the dependency on experts to interpret the radargram, less time consuming and eventually save cost. Upon detection, the accuracy of the system is assessed. From the accuracy assessment performed, it is shown that the system provides accurate detection results for both, depth and pipe size. The Root Mean Square Error (RMSE) for the buried pipe depth obtained by using the proposed system is 0.110 m, whereas the highest percentage match obtained is 91.34%, the remaining 8.66% mismatched might be due to the soil condition, velocity or processing parameter that affected the radargram. Based on the assessment, the developed system seems capable to detect the subsurface utility if the radar image and template image used is acquired using the same antenna frequency, point interval, and similar GPR instrument.
Building Information Modelling (BIM) For Estimation of Heat Flux from Streetscape Material
Authors:   Institute of Energy Infrastructure, Universiti Tenaga Nasional, 43000 Kajang, Malaysia, Roslan Ruwaida , Omar Rohayu Che ,   Institute of Energy Infrastructure, Universiti Tenaga Nasional, 43000 Kajang, Malaysia, Roslan Rasyikin ,   Institute of Energy Infrastructure, Universiti Tenaga Nasional, 43000 Kajang, Malaysia, Baharuddin Intan Nor Zuliana ,   Institute of Energy Infrastructure, Universiti Tenaga Nasional, 43000 Kajang, Malaysia, Wahab Warishah Abdul ,   Institute of Energy Infrastructure, Universiti Tenaga Nasional, 43000 Kajang, Malaysia, Hari Zolman ,   College of Graduate Studies, UNITEN, Dzulkifli Nurul Atiqah ,   College of Graduate Studies, UNITEN, Sanusi Khairul Amri ,   Tenaga Nasional Berhad
Published: November 2019

Streetscape elements are the major contributors to the urban heat island (UHI) phenomenon in the built urban environment. The hot surface air in this phenomenon is concentrated in urban regions and will gradually decrease in surrounding temperatures in suburban or rural regions. The effect of UHI can be seen through the increasing of land surface temperature and influencing the urban ecological systems, climates, and environments. A study has been conducted to identify the impact of urban heat island surrounding the PMU’s streetscape furniture. In this study, the UHI variation has been investigated using BEM and city scale model. The UHI obtained were analyzed and modeled using satellite imagery and GIS. The 3D models of the PMU’s façade were also been developed by using a laser scanner and thermal camera. Based on the analyses, the existing condition of seven selected PMUs are very high for Bangsar, High for Abu Bakar Baginda, Jalan Meru and Batu 4 Kuantan, Medium-high for Kuantan North and Taman Jaya and medium for Setia Alam. Land Surface Temperature (LST) in PMU facade is ranging between 23 ºC to55ºC. Building information modeling (BIM) analysis shows that the existing material used in most PMU facades with solar reflectance was uniformly low to medium-low. Building information modelling (BIM) result shows the building will give greater heat flux (+42% to +53% at 3 pm) because of the solar reflectance (%) from the facades of surrounding streetscape material used. By obtaining the information regarding the elements and factors that contribute to the UHI phenomenon within the study area, the reduction of heat absorption can be performed.
Functional Changes of Under Stilt Houseas an Effort of Adaptation and Adjustment in Settlement
Authors:   Doctoral student, Postgraduate Program, Sriwijaya University, Jl. Palembang Prabumulih Km. 32 Inderalaya (OI) / Department Architecture-Urban and Regional Planning, Indo Global Mandiri University of Palembang, Wicaksono* Bambang , Siswanto Ari ,   Department Architecture Engineering, Sriwijaya University, JalanSrijaya Negara, Bukit Lama, Ilir Barat I, Kota Palembang, Sumatera Selatan, Kusdiwanggo Susilo ,   Department Architecture, Brawijaya University, JalanMayjenHaryono 167 Malang JawaTimur, Anwar Widya Fransiska Febriati ,   Department Architecture Engineering, Sriwijaya University, JalanSrijaya Negara, Bukit Lama, Ilir Barat I, Kota Palembang, Sumatera Selatan
Published: November 2019

The development and change of stilt house on the Musi riverside are influenced by river geography. Model houses on the banks of the river Musi in the form of houses on stilts. The effort to build a stilts houseis inseparable from the condition of the Musi river, which is generally in the form of wetlands, so that housing is needed that can adapt to the water environment. In the initial conditions of settlements, under the riverfront house stage functioned as allowing air to move so as to minimize the humidity that is under the stage. With the current settlement conditions, people make adjustments or change the settlement environment as a form of adaptation to the tidal Musiriver. Stilt houses are an alternative place to stay that continues in the Palembang river community in dealing with climate and weather. This study aims to determine the tendency of morphological changes in the development of space under the stilt house. In achieving the objectives of the study carried out to identify architectural models, explore the activities of community settlements on the banks of the Musiriver. Data collection is done through field observations, literature studies, and in-depth interviews. Data analysis was carried out qualitatively on the variable elements of the building, with identification of riverfront stilt house models. The results show that the house on the river bank has experienced physical changes in the model house on stilts, both in terms of function and building materials. Changes in the physical elements of houses from wood to fabrication occurred in some of the stilt houses on the banks of the river Musi, resulting in river bank settlements dominated by brick or terrestrial houses.
Data Mining Prediction Production of Water Needs u sing Simple Linear Regression Algorithms
Authors:   Management Informatics, Computer Science Department, IGM University Indonesia, Kesuma* Hendra Di , Yanto Robi ,   Information Systems, Computer Science Department, STMIK BNJ Lubuklinggau Indonesia
Published: November 2019

Water is a natural resource that becomes the basic human needs. The city of Lubuklinggau every day provides the need for clean water to the community through PDAM Regional company Tirta Bukit Sulap. Clean water production is based on the analysis of water consumption by the community every month in advance. So, there is often a clean water delivery due to lack of clean water production. Also, the need for clean water will always increase with the increasing customer every month. Therefore, to be able to ensure the availability of clean water in the city of Lubuklinggau then need to be analyzed to predict the need for clean water in the city of each him is by applying data mining for prediction of needs Clean water by using simple linear regression algorithms. By applying data mining, clean water needs can be predicted for the next few years, making it easier for decision-makers to determine the volume of clean water produced. So the public can utilize clean water according to the needs.
Hexagonal and Ring Packing Method for Solving Circle Packing Problem using Modified Heuristics
Authors:   Lovely Professional University, Phagwara, Punjab India, 2Symbiosis Institute of Technology, Symbiosis International (Deemed University), Lavale, Pune India., Shastri Apoorva , Sharma Saaloni ,   DLF Centre,Bank of America ,Sansad Marg ,New Delhi India., Nargundkar Aniket ,   Symbiosis Institute of Technology, Symbiosis International (Deemed University), Lavale, Pune India.
Published: November 2019

A heuristic technique is a perspective used for problem solving, which employs a problem specific domain knowledge which might not be optimal, but sufficient for the immediate goals. The most common heuristic is trial and error, employed everywhere and anywhere. One such application is Circle Packing Problem (CPP), which is difficult to solve as it is a NP problem which is of high theoretical and practical value. In this paper we consider uniform packing of unit circles (diameter 2) in an enclosing circle. To make this study possible a class of heuristic global optimization algorithm, the Energy Paving Algorithm and a generated Monte Carlo method were studied. The heuristics applied in this study are – ring and hexagonal. The computational effectiveness of our study has been validated against these sets of algorithms. One of the applied heuristics, Hexagon packing, being a ‘natural’ geometry showed better packing efficiency than existing literature. Our second heuristic shows, higher efficiency in terms of CPU run time but underutilized available outer area. In this study, the circles are packed in 2D which is a simplified version of the various problems existing in nature as container loading, sensor network layout which has been studied by mathematicians, computer scientists and operation researchers.
MT Embedded E-Learning in India - Challenges for NLP/AI
Authors:   scholar at Amity University, Noida, India, Nidhi Ritu , Singh Dr. Tanya ,   Professor and Dy. Director (Academics), Amity School of Engineering & Technology, Amity University, Uttar Pradesh., Lobiyal Dr. DK ,   Professor, School of Computer & Systems Sciences, Jawaharlal Nehru University, New Delhi.
Published: November 2019

Indian languages are spoken by more than 90% of its population while most of the higher education happens in English medium. The policy makers in Indian government have realized that by introducing multilingual education electronically, they can reach out to the remotest corner of India and educate all in their mother tongue. The New Education Policy (NEP) draft just released by the government puts a heavy focus on mother tongues in education. The recent initiatives and focus on Natural Language Processing/ Artificial Intelligence (NLP/AI) in education through e-learning is not too surprising in this context. The paper presents the current initiatives in these directions by the government of India, surveys available NLP technologies particularly those for automatic translation of educational content developed by academia and industry and focuses on the Maithili language community. India's education needs are diverse and the success of e-learning depends heavily on the availability of necessary NLP tools in all languages. Almost all of major scheduled Indian languages are considered "resource-poor". While some of these languages may have the basic tools, they lack quality translation tools for delivering education in native language. The situation is more challenging in those languages where even the most basic resources and tools do not exist. Maithili - a language of Bihar and Nepal is such a language. The paper also presents an effort to develop MT resources and tools for Maithili and its application in delivering multilingual content for education.
Role of E-Learning in Indian Education System
Authors:   Department of Civil Engineering, B.S. Abdur Rahman Crescent Institute of Science and Technology, Chennai, India., M* Ayisha Sidiqua , V Karpagam ,   Department of Civil Engineering, C U Shah College of Engineering & Technology, Gujarat, India., K Jagadeesh. ,   Department of Civil Engineering, C U Shah College of Engineering & Technology, Gujarat, India., Y Ibrahim ,   Department of Civil Engineering, B.S. Abdur Rahman Crescent Institute of Science and Technology, Chennai, India., K Kanmani. ,   Department of Civil Engineering, B.S. Abdur Rahman Crescent Institute of Science and Technology, Chennai, India.
Published: November 2019

Today it had become an era of digital world where everything from pen to medicines is available in the internet. Now the youth and the technology are non-separable part. It makes the toughest time consuming job into an easier one. Use of e-learning has a positive trend from school to college education in India. In city schools smart class rooms with projectors for video is available and it improves the level of understanding. In higher secondary level children are provided with tabs such that it can be used for getting the study materials, video lectures, demos, webinars and online tests. Analyzing the efficiency and acceptability of this process is mandatory to assure the educationalist and also the parents. This work focuses majorly in available e-learning systems, skill requirement needed and the merits of e-learning for students. Education has a major role in good community development and also in employment opportunity. This work focuses majorly in available e-learning systems, skill requirement needed and the merits of e-learning for students and society.
Supporting Entrepreneurship Through Migratory Culture and Information Acquisition
Authors:   MBA, Associate Professor of Strategic Management at The Faculty of Economics & Business, University of Merdeka Malang, Indonesia., Sugito* Dr. Pudjo , Kamaludin Drs. ,   MM, Associate Professor of Operation Management at The Faculty of Economics & Business, University of Merdeka Malang, Indonesia.
Published: November 2019

This research intends to analyze the effect of migratory culture toward entrepreneurship through information acquisition. The research population are migrant Madurese entrepreneurs in East Java, Indonesia, with a sampling technique using a proportional random sampling. To accomplish the purpose, the primary data using online survey was collected from a sample of 170 migrant Madura entrepreneurs. Further, the primary data was analyzed by structural equation model with the Partial Least Square data processing program. The research finding demonstrates that migratory culture significantly effect entrepreneurship and information acquisition mediates the effect of migratory culture toward entrepreneurship. It means, both migratory culture and information acquisition support entrepreneurship of migrants Madurese.
Insilico Characterization, Phylogenetic Analysis and Homology based 3D Structural Modeling of HSPA4 Heat Shock Protein Family a (Hsp70) Member 4 from Homo Sapiens (Human)
Authors:   Asst. Professor, Dept of Zoology, UCS, Osmania University, Hyderabad. India, Rao* Dr.J.Venkateshwara
Published: November 2019

HSP70 are the specialized Heat Shock Proteins that show their novelty presence inside the deepest part of Cellular Component Networks of Chaperons and involve with various heat Shock repairing up mechanisms as main Catalytic Components. They actively participate in proper alignment and resistance of all types pressures by their proper dealing with substrates and proper exposure of their hydrophobic peptide portions inside of their substrate molecules. The exchange of information cum process of information occurs between the cell components through HSP70’s low level of affinity ATP bind sites and High Affinity level of ADP binding sites. Therefore, ATP hydrolysis process plays a key role in fundamental mechanisms, in vitro and as well as in in vivo repairing mechanisms for the functioning of Chaperone like functionalities of HSP 70 proteins. In the current study analysis, Homology Modeling methods permits us for modeling the 3D structure of the protein by taking backbone of experimentally determined 3D-Structures of homologous proteins extracted in various structural formats like PDBs. We worked with HSPA4 heat shock protein family A (HSP 70) part 4 from Homo sapiens ( Human ) and conducted 3-D structure prediction using an Automated Swiss Model Generation by employing the crystal structures of Template molecule. PDB Blast and Template search for required protein were conducted with help of all the parameters with respect to Imapact and Psi Impact angles and that leads to for most noteworthy sequence identity, structural alignments and functionalities. Finally, the homology modeling were performed by using SWISS modeler and modeled proteins were fine tuned by using the Ramachandran Plot, by using PROCHECK and 3D-Check Software Programs.