bluuebunny/crossref_metadata_2025 huggingface dataset:
Double stages of feature extarction-based GFPMI for colored finger vein identification
Authors: Sulaiman Dawlat Mustafa , Abdulazeez Adnan Mohsin , Haron Habibollah
Published: February 2020

Today, finger vein recognition has a lot of attention as a promising approach of biometric identification framework and still does not meet the challenges of the researchers on this filed. To solve this problem, we propose s double stage of feature extraction schemes based localized finger fine image detection. We propose Globalized Features Pattern Map Indication (GFPMI) to extract the globalized finger vein line features basede on using two generated vein image datasets: original gray level color, globalized finger vein line feature, original localized gray level image, and the colored localized finger vein images. Then, two kinds of features (gray scale and texture features) are extracted, which tell the structure information of the whole finger vein pattern in the whole dataset. The recurrent based residual neural network (RNN) is used to identify the finger vein images. The experimental show that the localized colored finger vein images based globalized feature extraction has achieved the higher accuracy (93.49%) while the original image dataset achieved less accuracy by (69.86%).
Two-level hiding an encrypted image
Authors: Al-Kadei Faten H. MohammedSediq
Published: February 2020

Encryption and hiding images are becoming a hot research area and a broad prospect for application. This article uses a secure algorithm with Low Significant Bit method to hide an encrypted high-resolution color bitmap image in two selectively color images (i.e., two cover images). The paper introduces a two-level hiding encrypted image using MATLAB-GUI programming language. In the beginning, with a key image using XOR bit operation, the original RGB image is encrypted. After that, the encrypted image is hidden into the first cover image. The cover image is then hidden into another cover to make the secret image safer without changing the perceptual quality for both covers. Then, the algorithm is tested on many bitmap images, which can be an important image, fingerprint image, samples of secret medicine, or bank account pattern. The correlation histograms demonstrate a high correlation for all encrypted images. The PSNR is used to find steganography quality for the two cover images after hiding the secret image showing a high quality for the two levels of hiding operation
Extraction of cause-effect-concept pair series from web documents
Authors: Pechsiri Chaveevan , Mekbunditkul Titirut
Published: February 2020

This research aims to extract a cause-effect-concept pair series of consequent event occurrences in health information of hospital web-boards. The extracted cause-effect-concept pair series representing a disease causation pathway benefits for the automatic diagnosis and solving system. Where each causative/effect event concept is expressed by an elementary discourse unit (EDU which is a simple sentence). The research has three problems; how to determine causative/effect concept EDUs from the documents containing some EDU occurrences with both causative concepts and effect concepts, how to determine the cause-effect relation between two adjacent EDUs having the discourse cue ambiguity, and how to extract cause-effect-concept pair series mingled with either a stimulation relation EDU or other non-cause-effect relation EDUs from the documents. Therefore, we apply annotated NWordCo pairs with causative-effect concepts to represent EDU pairs with causative-effect concept where the NWordCo size solved by Naïve Bayes. We also apply Naïve Bayes to solve NWordCo-concept pairs having the cause-effect relation from the adjacent EDU pairs. We then propose using cue words and the collected NWordCo-concept pairs with the cause-effect relation to extract the cause-effect-concept pair series. The research results provide the high precision of the cause-effect-concept pair series determination from the documents. 
Systematic mapping study of economic and business models of cloud services
Authors: Odun-Ayo Isaac , Williams Toro-Abasi , Abayomi-Alli Olusola , Yahaya Jamaiah
Published: February 2020

Cloud computing is a business paradigm wherein computers and computing related services are provided by Cloud Service Providers to consumers either as software, development platform, or infrastructure. From an economic and business perspective, Cloud services involve cost, ownership quality of service and service level agreements. There are studies on economic and business models of cloud services on the cloud landscape especially in the area of pricing. Despite this, there is still a dearth of papers in this area of study. The objective of this study is to conduct a systematic mapping study to collect all relevant research on economic and business models of Cloud services. A systematic map provides a structured overview in a particular research area. The representation of the mapping process offers unique course-grained overview of the results. The results are presented in terms of research such as evaluation and solution, and contribution such as tools and method utilized. The results showed that there are more publications on pricing models in relation to tools with 6.87% and model with 14.5%, more publications on economic and business implications in terms of method with 11.45%, more publications on Cloud market in term of processes with 6.87%, more papers on security in the area of evaluation with 8.55% and validation research with 6.58%, and more papers on Cloud markets with respect to experience with 4.61% and validation with 5.92%. The research gaps identified in this study should motivate researchers to carry out more mapping studies in the field.
Artificial fish swarm optimization algorithm for power system state estimation
Authors: Salkuti Surender Reddy
Published: February 2020

In this paper, the power system state estimation (SE) problem is formulated as a general non-linear programming problem with equality constraints and boundary limits on the state variables. The proposed SE problem is solved using an evolutionary based Artificial Fish Swarm Optimization Algorithm (AFSOA). The AFSOA is a global search algorithm based on the characteristics of fish swarm and its autonomous model. The detailed algorithm with its flow chart is presented in this paper. To show the effectiveness of the proposed SE approach, six bus test system is considered. The obtained results are compared with other algorithms reported in the literature.
STATCOM controllers based on fuzzy PI approach
Authors: Shehata Tamer , Abdul moteleb Mohamed S , Abou El-Zahab Essam Mohamed
Published: February 2020

The electricity companies enforced some legislation on the electricity consumption contracts because the electricity network cannot bear the increasing demands of consumers. Therefore, a new controlling system is required to improve the frequent variations of the power system operating point (OP). Consequently, the flexible AC transmission systems (FACTS) controllers should be able to integrate with recent OP. Coordination of FACTS controller is more sophisticated due to various OP and uncertainties parametric in cooperation with the non linearity of power system (PS). Static Synchronous Compensator (STATCOM) plays very important role like the stability support of large and small transient-disturbance in PS. Therefore, the aim of this research is presents fuzzy logic (FL) with the PI controller (a novel controller) its ability to improve the performance of the power system along with the capability of switch irregular and rough actual world data. This new controlling system may be suitable for a wide range of applications especially the models which deal with huge and complicated data analysis. This new controller system carries out the adjustments of the voltage on DC capacitor under transient and steady-state conditions.
Development of photodiode via the rapid melt growth (RMG) materials for energy conversion device
Authors: Zainal Nurfarina , Mitchell S. J.N. , McNeill D. W. , Jubadi W. M.
Published: February 2020

Germanium (Ge) photodiodes were fabricated with the new RMG crucible materials that were established in this study. Results show that Ge large square patterns with size of 208 µm x 208 µm were unable to be achieved if ion implantation process was used in formation of photodiode. Delamination can be observed on all test samples during polycrystalline silicon (poly-Si) deposition at 620 oC. This result was in contrast to a previous intrinsic Ge test structure, where good formation of squares with size similar to that 208 µm x 208 µm had been successfully attained even with high annealing temperature above 938 oC. This indicates that doping through ion implantation has affected Ge film and caused delamination even at low temperature. However, good formations of Ge stripes were attained along with the ion implantation process in fabricating the photodiode. Results show that the sheet resistance of Ge stripe has significantly decreased compared to previous Ge resistors. The better resistance is due to the thicker (500 nm) Ge layer. In the case of Ge stripes with a p-i-n junction, only small fraction of test samples have shown a diode characteristic but with high leakage current. Results of I-V measurement show that a large fraction of test samples produced resistor characteristics. The high leakage current is believed due to the fact that the Ge films formed at this stage were polycrystalline in structure. Thus the grain size of Ge stripe has affected the performance. Slight changes on the I-V characteristic of single Ge can be observed when samples were tested under illumination. Therefore, it has potential to be used for future development of energy conversion device. 
The physical and optical properties of AZO thin films on teflon substrate at low deposition temperature by spray pyrolysis
Authors: Nabila Hazmin Sofea , S. Zahid F. S. , M. Sauki N. S. , H. Mamat M. , N. Amalina M.
Published: February 2020

This paper presents the physical and optical properties of AZO thin films on Teflon substrate at low deposition temperature by spray pyrolysis. In this study, the effect of different process parameters such as spray time and substrate to nozzle distance on the physical and optical characteristic of aluminium doped zinc oxide (AZO) deposited on Teflon substrates was investigated. The AZO thin films were successfully deposited onto Teflon substrate by spray pyrolysis technique at low deposition temperature. The physical analysis by X-ray diffraction (XRD) shows that the deposited Teflon substrate films have a preferred orientation along the direction (100) and (101). Optical measurements were conducted using Jasco/V-670 Ex Uv-Vis-NIR Spectrophotometer model to confirms that in visible ray it is possible to get good reflectance of AZO films with a reflection of 80%. The values of band gaps Eg were calculated from the spectra of UV-Visible reflectance that were vary between 3.06 and 3.14 eV. 
Transceiver error reduction by design prototype system based on neural network analysis method
Authors: Fadhil Muthna Jasim , Ali Naji Maitham , Salman Ghalib Ahmed
Published: February 2020

Code words traditional can be decoding when applied in artificial neural network. Nevertheless, explored rarely for encoding of artificial neural network so that it proposed encoder for artificial neural network forward with major structure built by Self Organizing Feature Map (SOFM). According to number of bits codeword and bits source mentioned the dimension of forward neural network at first then sets weight of distribution proposal choosing after that algorithm appropriate using for sets weight initializing and finally sets code word uniqueness check so that matching with existing. The spiking neural network (SNN) using as decoder of neural network for processing of decoding where depending on numbers of bits codeword and bits source dimension the spiking neural network structure built at first then generated sets codeword by network neural forward using for train spiking neural network after that when whole error reached minimum the process training stop and at last sets code word decode accepted. In tests simulation appear that feasible decoding and encoding neural network while performance better for structure network neural forward a proper condition is achieved with γ node output degree. The methods of mathematical traditional can not using for decoding generated Sets codeword by encoder network of neural so it is prospect good for communication security. 
Transition flight modeling and robust control of a VTOL unmanned quad tilt-rotor aerial vehicle
Authors: Thirumaleshwar Hegde Navya , George V.I. , Nayak C Gurudas , Kumar Kamlesh
Published: February 2020

The development of fully autonomous Unmanned Aerial Vehicles (UAV) plays a major contribution towards reducing the risk to human life in various applications including rescue teams, border patrol, police and inspection of buildings, pipelines, coasts, and terrains. Tiltrotor hybrid UAV exhibit special application value due to its unique rotor structure. The variation in the model dynamics and aerodynamics due to the tilting rotors are the major key issues and challenges which attracted the attention of many researchers. This vehicle combines the hovering capabilities of a helicopter along with the high-speed cruise capabilities of a conventional airplane by tilting its four rotors. In the present research work, the authors attempt to model a quad tilt rotor UAV using Newton-Euler formulation. A dynamic model of the vehicle is derived mathematically for horizontal, vertical and transition flight modes. A robust H-infinity control strategy is proposed, evaluated and analyzed through simulation to control the flight dynamics of the different modes of the UAV. Simulation results shows that the tiltrotor UAV achieves transition successfully.
Graphene derivative coated QCM-based gas sensor for volatile organic compound (VOC) detection at room temperature
Authors: Gupta Monika , Athirah Nurul , Fahmi Hawari Huzein
Published: February 2020

Volatile organic compounds (VOCs) affect our daily life through their emission from very common sources such as plants, building materials, paints, pesticides, and fossil fuel burning. The detection of VOCs at room temperature is a prime requirement. The graphene-based gas sensor has the potential to detect these VOC gases due to its attractive features such as high mobility and large surface area. In this work, a graphene-derivative is prepared as a sensing material in order to detect acetone. The thin film of graphene-derivative is prepared by a drop-cast method on a quartz crystal microbalance (QCM) sensor followed by drying in the room environment conditions. The prepared graphene-derivative and thin films are characterized structurally and morphologically by standard microscopic techniques such as FESEM, EDX, and Raman spectroscopy. The electrical parameters such as mobility and resistivity are measured using Hall-effect measurements at room temperature. The response and recovery time of the graphene-derivative based 10 MHz QCM sensor are found to be 23 s and 20 s, respectively. This highly sensitive graphene-based gas sensor with good reversibility can be employed for human health and environment safety applications. 
Lung cancer transition rate by stages using discrete time markov model
Authors: Hakeem Omar Muhammad , Niza Shair Syazreen , Haniah Asmuni Nurin
Published: February 2020

Morbidity risk is linked to the health status or a disease within a population. Morbidity risk is the risk of illness associated with health status or disease within a population. Cancer is one of the prime causes of both morbidity and mortality in majority of countries worldwide. In year 2016, the probability of Malaysian diagnosed with cancer before they reach age 75 is one over four. It has been reported that lung cancer has the highest deaths and it increased by 16.03% from 2012 to 2016. Malaysian National Cancer Registry reported that in year 2007 until 2011, 69.9% of lung cancer are men and the remaining 30.1% are women. Chinese become the dominant lung cancer cases representing 51.04% of total lung cancer patients in Malaysia followed by Malay, 44.81% and Indian, 4.16%. Treatments for lung cancer patients may vary by cancer stages. If cancer were just spread in one place, doctor may recommend a local treatment to get rid of cancer completely. Whereas, if a cancer has spread throughout the whole body, more comprehensive treatments may be needed. Therefore, knowing the probability of transition rate between cancer stages is important for healthcare cost effectiveness evaluation and expected cost calculation. This paper aims to estimate lung cancer transition rate by stages using the Functional Markov model. The Lung cancer transition rate will be calculated based on discrete time on a yearly basis. As a result, the probability of a Lung cancer patient recovering or deteriorating can be estimated.
Algorithm development and hardware implementation for medical image compression system: a review
Authors: Ja’afar Noor Huda , Ahmad Afandi
Published: February 2020

In the high-tech world, medical imaging is very important to diagnose and analyze illness inside human body. The increasing number of patients annually has continuously growth the amount of medical imaging data generated and directly causes a demand for data storage. Generally, medical images are rich with data, where these data are important for diagnosing purpose. However, some of the data represents redundant information and sometimes can be discarded. Thus, the research area on medical image compression dealing with three-dimensional (3-D) modalities need to be given more attention and exploration. The algorithm development using wavelet transform with software implementation are the famous topics explored among researchers, whilst fewer works have been done in utilizing curvelet transform in medical image compression. Along with that, very limited hardware implementation of 3-D medical image compression is discovered. In term of performance evaluation, most of the previous works conducted objective test compared with subjective test. To fill in this gap, medical image compression system will be reviewed, with the aim to identify the recent method used in medical image compression system. This paper thoroughly scrutinizes the recent advances in medical image compression mainly in terms of compression method, algorithm development with software and hardware implementations and performance evaluation. In conclusion, the overall picture of the medical image compression landscape, where most of the researchers more focused on algorithm development or software implementations without having the combination of software and hardware implementations.
A comparative analysis of classification techniques on predicting flood risk
Authors: Nawi Nazri Mohd , Makhtar Mokhairi , Salikon Mohd Zaki , Afip Zehan Afizah
Published: February 2020

Flood is a temporary overflow of a dry area due to overflow of excess water, runoff surface waters or undermining of shoreline. In Malaysia itself in 2014, the country grieved with the catastrophic flood event in Kuala Krai, Kelantan, which caused of human lives, public assets and money lost. Due to uncertainties in flooding event, it is vital for Malaysia to have pre-warning system that assist related agencies in to categorize land areas that face high risk of flood so preventive actions can be planned in place. This paper conducts a comparative analysis of three classifications in classifying the risk of flood, whether high or low. The classification experiment conducts using three variants of Bayesian approaches, which are Bayesian Networks (BN), Naive Bayes (NB), and Tree Augmented Naive Bayes (TAN). The outcome of this research shows that Tree Augmented Naive Bayes (TAN) has the best algorithms as compared to others algorithms in classifying the risk of flood.
Ant colony algorithm for text classification in multicore-multithread environment
Authors: Nazmi Fadzal Ahmad , Puteh Mazidah , Abd Rahman Nurazzah
Published: February 2020

This paper presents about Ant Colony Algorithm (ACO) for Text Classification in Multicore-Multithread Environment in Artificial Intelligent domain. We had develop a software which assimilate concurrency concept to multiple artificial ants. Pheromone in ACO is the main concept used to solve the text classification problem. In regards to its role, pheromone value is changed depending on the solution finding that has been discovered at the pseudo random heuristic attempt in selecting path from text words. However, ACO can take up longer time to process larger training document. Based on the cooperative concept of ants living in colony, the ACO part is examined to work in multicore-multithread environment as to cater additional execution time benefit. In running multicore-multithread environment, the modification aims to make artificial ants actively communicate between multiple physical cores of processor. The execution time reduction is expected to show an improvement without compromising the original classification accuracy by the investment of trading on more processing power. The single and multicore-multithreaded version of ACO was compared statistically by conduction relevant test. It was found that the result shows a positive time reduction improvement.
A multi-color based features from facial images for automatic ethnicity identification model
Authors: Osman Mohd Zamri , Maarof Mohd Aizaini , Rohani Mohd Foad , Sjarif Nilam Nur Amir , Zulkifli Nor Saradatul Akmar
Published: February 2020

Ethnicity identification for demographic information has been studied for soft biometric analysis, and it is essential for human identification and verification. Ethnicity identification remains popular and receives attention in a recent year especially in automatic demographic information. Unfortunately, ethnicity identification technique using color-based feature mostly failed to determine the ethnicity classes accurately due to low properties of features in color-based. Thus, this paper purposely analyses the accuracy of the color-based ethnicity identification model from various color spaces. The proposed model involved several phases such as skin color feature extraction, feature selection, and classification. In the feature extraction process, a dynamic skin color detection is adapted to extract the skin color information from the face candidate. The multi-color feature was formed from the descriptive statistical model. Feature selection technique applied to reduce the feature space dimensionality. Finally, the proposed ethnicity identification was tested using several classification algorithms. From the experimental result, we achieved a better result in multi-color feature compared to individual color space model under Random Forest algorithm.
Automated detection of vehicles license plate using image processing techniques
Authors: Poad Farhana Ahmad , Othman Noor Shuraya , Atan Roshayati Yahya , Jusoh Jusrorizal Fadly , Hussin Mumtaz Anwar
Published: February 2020

The aim of this project is to design an Automated Detection of License Plate (ADLP) system based on image processing techniques. There are two techniques that are commonly used in detecting the target, which are the Optical Character Recognition (OCR) and the split and merge segmentation. Basically, the OCR technique performs the operation using individual character of the license plate with alphanumeri characteristic. While, the split and merge segmentation technique split the image of captured plate into a region of interest. These two techniques are utilized and implemented using MATLAB software and the performance of detection is tested on the image and a comparison is done between both techniques. The results show that both techniques can perform well for license plate with some error.
Deep learning in non coding variant (a brief overview)
Authors: Xin Lee Kuan , Abdullah Afnizanfaizal
Published: February 2020

The 21st centuries were deemed to be the era of big data. Data driven research had become a necessity. This hold true not only in the business world, yet also in the field of biomedical world. From a few years of biological data extraction and derivation. With the advancement of Next Generation Sequencing, genomics data had grown to become an ambiguous giant which could not keep up with the pace of its advancement in it analysis counter parts. This results in a large amount of unanalysed genomic data. These genomic data consist not only plain information, researcher had discovered the potential of most gene called the non-coding variant and still failing in identifying their function. With the growth in volume of data, there is also a growth of hardware or technologies. With current technologies, we were able to implement a more complex and sophisticated algorithm in analysis these genomics data. The domain of deep learning had become a major interest of researcher as it was proven to have achieve a significant success in deriving insight from various field. This paper aims to review the current trend of non-coding variant analysis using deep learning approach.
A model of determinants for continuous usage of business intelligence in Malaysian manufacturing organizations using theoretical
Authors: Yusof Ernie Mazuin Mohd , Othman Mohd Shahizan , Yusof Ahmad Rizal Mohd , Baharum Zirawani
Published: February 2020

Business Intelligence (BI) offered many advantages to organizations adopting the system such as improved decision making and boost organization’s performance. The lack of research on the continuous usage of BI in manufacturing motivates the initiative in this study to have an understanding of the determinants that influenced it. The study proposed a model of individual-related determinants that lead to the continuous usage of BI in manufacturing. A model integrating Unified Theory of Acceptance and Use of Technology (UTAUT) and Information System Continuance Model (ISCM) will be developed. The model will portray 20 hypotheses and 11 determinants leading continuance usage of BI. Data will be collected through survey questionnaires instrument and validated using Structural Equation Modelling (SEM). The result is hoping to show significant relationships between the determinants towards the continuous usage of BI in manufacturing. The study can potentially be used to guide manufacturers and practitioners for considerations in implementing BI in the manufacturing industry. 
Implementation of persuasive design principles in mobile application development: a qualitative study
Authors: Shafin Nor Afifah , Saedudin RD Rohmat , Abdullah Nor Hazana
Published: February 2020

Persuasive design principles (PDP) of persuasive system features framework have shown impressive results from the context of user engagement and acceptance as well as continuous usage towards the persuasive systems involved. Yet, available literatures do not thoroughly address the implementation of these design principles specifically in mobile applications and there is insufficient discussion on the impact of the principles in relation to the overall achievement of mobile applications. Hence, this research was conducted with the aim to qualitatively explore the way PDP were implemented across three different levels of mobile applications’ attainment. For this study, seven semi-structured interviews were conducted with the involvement of fifteen (15) Android mobile applications in the area of utilities category. These mobile applications were then categorized into three categories which is successful, partially successful and less successful based on their numbers of mobile applications downloaded for three consecutive years. The results from the content analysis revealed that each of the PDP were implemented in many ways yet the most common applied principles are reduction, tailoring and personalization. However, the analysis also shows low numbers of implementation from the system credibility and social support category. In addition, most of the mobile applications of the successful category have implemented a lot more PDP as compared to the other two mobile application categories. The results from this study has provide significance towards developers, practitioners as well as the scholars from the contextual perspective of persuasive system framework also the practical values of the principles specifically the implementation in mobile application development.
Mobile edge computing for internet of things (IoT): security and privacy issues
Authors: Rahman Atiqur , Wu Guangfu , Liton Ali Md
Published: February 2020

Nowadays, the masonry for environment-friendly and protected network structure designs, for example, the Internet of Things and gigantic data analytics are increasing at a faster pace compared to an earlier state. Mobile edge computing for an Internet of Things widget is information processing that is achieved at or close to the collectors of information in an Internet of Things system. Herein, we are proposing to temporarily evaluation the concepts, features, protection, and privacy applications of Internet of Things authorized mobile edge computing with its data protection view in our data-driven globe. We focus on illuminating one of kind components that need to be taken into consideration whilst creating a scalable, consistent, impenetrable and disseminated mobile edge computing structure. We also sum up the fundamental ideas regarding security threat alleviation strategies. After that, we walk around the existing challenges and opportunities in the area of mobile edge computing. In conclusion, we analyze a case study, in which a security protection mechanism can be hardened to lift out everyday jobs.
Readiness, acceptance and use of e-health systems in hospitals and health centers of north western ethiopia
Authors: Ayele Abinew Ali
Published: February 2020

The purpose of this empirical study was to examine e-health readiness, acceptance and use in hospitals and health centers in Ethiopia. In this study, 900 samples were taken using a simple random sampling method from 10 Hospitals and 20 health centers in northwestern Ethiopia. SmartPls software was used for the structural equation modeling and path analysis techniques. All of the e-health readiness indicators, except employees’ attitudes showed that hospitals and health centers were not ready to implement and use e-health systems. The intentions of users to accept and use e-health systems were evaluated and determinants were identified. Service quality from the technological factors, self-efficacy from the human factors and user training from the organizational factors were found to be significant determinants of user satisfaction, individual performance, and organizational performance respectively. Major determinants were an organizational performance with a contribution of 37.6% influence followed by an individual performance with 28.2% contribution (together accounted for about 65.8% influence) of the users’ behavioral intentions to use e-health systems. The model, which explained 47.6 % of the variances in the data, was found to be significant.
A simulation study of first-order autoregressive to evaluate the performance of measurement error based symmetry triangular fuzzy number
Authors: Che Lah Muhammad Shukri , Arbaiy Nureize
Published: February 2020

Data collected by various data collection methods are often exposed to uncertainties that may affect the information presented by quantitative results. This also causes the forecasted model developed to be less precise because of the uncertainty contained in the input data used. Hence, preparing the data by means of handling inherent uncertainties is necessary to avoid the developed forecasting model to be less accurate. Traditional autoregressive (AR) model uses precise values and deals with the uncertainty normally in forecasting model. Fewer researches are focused on data preparation in time-series autoregressive for handling the uncertainties in data. Hence, this paper proposes a procedure to perform data preparation to handle uncertainty. The fuzzy data preparation involves the construction of fuzzy symmetric triangle numbers using percentage error and standard deviation method. The proposed approach is evaluated by using the simulation method for first-order autoregressive, AR (1) model in terms of forecasting accuracy performance. Simulation result demonstrates that the proposed approach obtains smaller error in forecasting and hence achieving better forecasting accuracy and dealing with uncertainty in the analysis.
The new trend for search engine optimization, tools and techniques
Authors: Shahzad Asim , Jacob Deden Witarsyah , Nawi Nazri Mohd , Mahdin Hairulnizam , Saputri Marheni Eka
Published: February 2020

Search Engines are used to search any information on the internet.
 The primary objective of any website owner is to list their website at the top of all the results in Search Engine Results Pages (SERPs). Search Engine Optimization is the art of increasing visibility of a website in Search Engine Result Pages. This art of improving the visibility of website requires the tools and techniques; This paper is a comprehensive survey of how a Search Engine (SE) works, types and parts of Search Engine and different techniques and tools used for Search Engine Optimization (SEO.) In this paper, we will discuss the current tools and techniques in practice for Search Engine Optimization.
Quranic verse finder: a tool for speech preparation using quranic verses
Authors: Abdul Aziz Maslina , Fikri Azni Irfan , Faezah Abbas Wan , Izuan Hafez Mohd , Md Shariff Nur Nafhatun
Published: February 2020

This paper presents a mobile application called the Quranic Verse Finder. The main idea of this study is to develop a mobile application to help preachers in preparing their speech text. Based on preliminary investigation, the minimum time for a preacher to prepare a speech for a given topic is 3 hours. This process is very time consuming since the speech needs to refer to different source of reference such as the Quran and Hadith. The existing Quran search on the website or mobile application are from unknown source of reference. Therefore, to solve the problems mentioned above, this application offers an efficient method to search and identify any Quran verses for reference. With this application, the user can identify the juz number, the name of the Surah, which number of verses in the Surah and the meaning of the verses of a specific verse. The Quranic Verse Finder is different from other existing Quran Search applications due to its bilanguage feature. This application provides Malay and English translation. It also has other special features such as Bookmark that allows specific Quran verse to be saved for later reference. Moreover, due to the current trends, the Quranic Verse Finder allows user to share it using popular social media sites such as Facebook and Twitter.
Website quality of Malaysian Technical University
Authors: Jie Lim Pui , Ramlan Rohaizan , Hassan Rohayanti , Omar Rashidah , Wei Chan Shau
Published: February 2020

University website is the platform for university to interact with people. It is also an interphase for people to infer and getting known about the university. In addition, quality of the university website is vital to let people get positive response to the university. Therefore, university website should be evaluated for better performance. This study evaluate website of Malaysian Technical University (MTUN) on year of 2016 based on the criteria selected using online web diagnostics tools. There are nine criteria selected to measure the website; load time, response time, page rank, traffic, design optimization, page size, number of items, markup validation and broken link. The result shows website of UMP performed better in design optimization, page rank and markup validation. Meanwhile, UTHM performed in page rank, load time and page size. UTEM excellences in response time, number of items and broken link. Lastly, UniMAP performed in traffic criteria only. However, the (MTUN) University website is almost not meets with the criteria that selected with the quality standard that have been suggested. 
The best parameters selection using pso algorithm to solving for ito system by new iterative technique
Authors: Abed Karam Adel , Ahmad Abeer Abdulkhaleq
Published: February 2020

The main aim of this study is to obtain the best approximate solution for the nonlinear Ito system by applying the new iterative method, A new technique has been proposed that combines the new iterative method with the particle optimization algorithm. The most important distinctive of this work is the analysis of errors between the exact solution of the system and the approximate solutions, which showed us that these approximate solutions of the proposed technique in particular have high accuracy because they converge significantly from the exact solution.
OperativeCriticalPointBug algorithm-local path planning of mobile robot avoiding obstacles
Authors: Das Subir Kumar , Dutta Ajoy Kumar , Debnath Subir Kumar
Published: February 2020

For Autonomous Mobile Robot one of the biggest and interesting issues is path planning. An autonomous mobile robot should be able determine its own path to reach destination. This paper offers a new algorithm for mobile robot to plan a path in local environments with stationary as well as moving obstacles. For movable robots’ path planning OperativeCriticalPointBug (OCPB) algorithm, is a new Bug algorithm. This algorithm is carried out by the robot throughout the movement from source to goal, hence allowing the robot to rectify its way if a new obstacle comes into the route or any existing obstacle changes its route. According as, not only the robot tries to avoid clash with other obstacle but also tries a series of run time adjustment in its way to produce roughly a best possible path. During journey the robot is believed to be capable to act in an unknown location by acquiring information perceived locally. Using this algorithm the robot can avoid obstacle by considering its own as well as the obstacle’s dimension. The obstacle may be static or dynamic. The algorithm belongs to bug family.
Comparison of two hybrid algorithms on incorporated aircraft routing and crew pairing problems
Authors: N. F. Mohamed , N. A. Mohamed , N. H. Mohamed , N. Subani
Published: February 2020

In airline operations planning, a sequential method is traditionally used in airline system. In airline systems, minimizing the costs is important as they want to get the highest profits. The aircraft routing problem is solved first, and then pursued by crew pairing problem. The solutions are suboptimal in some cases, so we incorporate aircraft routing and crew pairing problems into one mathematical model to get an exact solution. Before we solve the integrated aircraft routing and crew pairing problem, we need to get the aircraft routes (AR) and crew pairs (CP). In this study, we suggested using genetic algorithm (GA) to develop a set of AR and CP. By using the generated AR and CP, we tackle the integrated aircraft and crew pairing problems using two suggested techniques, Integer Linear Programming (ILP) and Particle Swarm Optimization (PSO). Computational results show that GA's executed of AR and CP and then solved by ILP obtained the greatest results among all the methods suggested.
Fuzzy controlled SVC for power system damping
Authors: Kamis Zalina , Ab. Ghani Mohd Ruddin , Kamaruddin Muhammad Nizam , Mohd Shah Hairol Nizam
Published: February 2020

This paper presents the ability of the fuzzy logic-based stabilizer used to generate the supplementary voltage control signal of the SVC to improve the damping of the inter-area mode oscillation in the power system. The base system is symmetrical, consisting of two identical areas connected by a relatively weak tie line. The SVC is chosen to be installed at the tie line midpoint. The active power of the local line will be used as an input signal for the stabilizer. The additional signal is calculated using fuzzy membership function to determine the quantity of reactive power supplied absorbed by SVC. The system oscillation is indicated by a 3-phase-to-ground short circuit occurring at 0.2s of the simulation and subsequently clearing after 100ms. Simulation with the sample power system shows that when subjected to a disturbance, fuzzy logic-based SVC stabilizer provides good damping in inter-area mode oscillation for the system. The effectiveness of the stabilizer applied with and without PSS will also be investigated.
Development of stratospheric communication platforms (SCP) as backbone to terrestrial networks
Authors: Ilcev Dimov Stojce
Published: February 2020

In this paper are introduced the new airship techniques and technologies as cost effective solutions of Stratospheric Communication Platforms (SCP) as future backbone of terrestrial networks for rural communications. The launch or putting in position the airship is not critical point such as launch of satellite and controlling support services in the creation of space-based communication technology and the most expensive phase of the total system cost. Therefore, with few cost effective remote controlled and solar powered airships can be covered some region or country including remote and rural areas with low density of population. The airship SCP network offers better solutions than cellular radio systems, with greater speed of transmission than even optical modes, roaming will be enhanced without severe shadowing or obstacle problems and disturbances inside of buildings and service will cost less. The SPS mission system is more autonomous and discrete, can be integrated with current satellite and cellular systems, and will be the best solution for rural, mobile transportation and military applications. The SCP airship can be seen well from all positions inside coverage area, because they are overlapping the total coverage and because of elevation angle. In any circumstances mountains, buildings and even trees cannot cause obstructions like to cellular network. For these reasons, there is currently a revival of interest for SCP constellations and application types of various system concepts are being studied.

 
ДЕПРЕСІЯ ЯК ОДИН З ЧИННИКІВ, ЩО СПРИЯЮТЬ РОЗВИТКУ ПСИХОСОМАТИЧНИХ РОЗЛАДІВ
Authors: Reshtakova N. O.
Published: February 2020

У статті проаналізовано механізм розвитку психосоматичних захворювань,  а також  депресія як чинник, що сприяє виникненню психосоматичних розладів.
Second-step lectotypification of the name Wormia mansonii, the basionym of Dillenia mansonii (Dilleniaceae)

Authors: MAURYA SATISH , BOKIL SARANG A. , DARSHETKAR ASHWINI M. , DATAR MANDAR N. , CHOUDHARY RITESH KUMAR
Published: February 2020

While revising the genus Dillenia Linnaeus (1753: 535) for Malaysia, Hoogland (1952) proposed the new combination, Dillenia mansonii (Gage 1906: 73) Hoogland (1952: 83) by transferring Wormia mansoni Gage (1906: 73) (Wormia mansonii). Gage (1906) in the protologue of W. mansonii cited the specimen examined as ‘In ripis fluminis Yunzalin, prope confluentum cum Salween, Tenasserim. Manson!’. Hoogland (1952) cited ‘Type specimen: Manson, banks of Yunzalin, Riv. above its junction with the Salween, Burma, May 1905; holotype in CAL’ under D. mansonii. During the study, we could trace out four such specimens housed at CAL (CAL0000004061, CAL0000004062, CAL0000004063 and CAL0000004064), three of which are annotated by Hoogland as ‘type’ (CAL0000004061, CAL0000004063, CAL0000004064) and the remaining one as ‘ISOTYPE’. However, in our opinion, these specimens are to be considered as syntypes following Art. 40, Note 1 (McNeill 2014, Turland et al. 2018). The citation of ‘Holotype’ by Hoogland has to be accepted as a correctable error under Art. 9.10 (Turland et al. 2018). There are more than one specimens at CAL of a single gathering and it cannot be ascertained which specimen Hoogland (1952) designated as the holotype. Hence, the holotype designated by Hoogland (1952) should be corrected to first-step lectotype (Art. 9.17: Turland et al. 2018). We have designated here a second-step lectotype following the Art. 9.17 (Turland et al. 2018).
Nepenthes fractiflexa (Nepenthaceae), a new Bornean pitcher plant exhibiting concaulescent metatopy and a high degree of axillary bud activation

Authors: GOLOS MICHAL R. , ROBINSON ALASTAIR S. , BARER MARC , DANČÁK MARTIN , WITTE JEAN DE , LIMBERG ADRIEN , SAPAWI NOORHANA BINTI MOHD , TJIASMANTO WEWIN
Published: February 2020

Nepenthes fractiflexa is described as a new species from Sarawak and Kalimantan. The species is characterised by a number of unusual growth habits: plants readily produce aerial offshoots from their leaf axils, giving rise to a highly branched architecture of a complexity rarely seen in the genus; even those axillary buds not destined to develop further are activated and often elaborated into bract-like prophylls up to 5 cm long; and the inflorescence emerges close to the middle of the internode rather than from the leaf axil, as is typical of all other known species, leading us to make the first proposal for concaulescence in Nepenthes. These traits—coupled with the plant’s distinctive, long-decurrent petiolar wings and fractiflex climbing stems—distinguish it from its putative closest relative, N. mollis. The known distributions of N. fractiflexa and N. mollis are reviewed in light of recent discoveries. The apparent geographical disjunction between the two species is discussed in the context of edaphic and other ecological factors. Owing to its large range and remote, predominantly ridgetop habitat—but small number of recorded localities and individuals—the conservation status of N. fractiflexa is assessed as Near Threatened under the IUCN 3.1 criteria.
Typifications, a new synonym and new distribution data in Ficaria (Ranunculaceae)

Authors: PASZKO BEATA , PAUL WOJCIECH , NIKEL AGNIESZKA , MUSIAŁ LUCYNA
Published: February 2020

Lectotypes for five infraspecific names of Ranunculus ficaria (currently known as Ficaria verna s.str.) (Ranunculaceae) described by Hugo Zapałowicz are proposed. Four of these names are established synonyms of Ficaria verna s.str. Ranunculus ficaria var. bessarabicus is considered to be a new synonym of F. grandiflora, which is newly recorded for Moldova. Revised syntypes represent three species of Ficaria: F. verna s.str., F. grandiflora, and F. calthifolia. The exact dates of publication for parts 12 and 13 of Zapałowicz’s work entitled Conspectus florae Galiciae criticus published in the journal Rozprawy Wydziału Matematyczno-Przyrodniczego Akademii Umiejętności, Seria III, Dział B. Nauki Biologiczne are corrected based on the publisher’s catalogue.
Lectotypification of the name Chenopodium hircinum, a wild relative of the pseudocereal crop species C. quinoa (Chenopodiaceae)

Authors: MOSYAKIN SERGEI L. , SOKOLOVA IRINA V.
Published: February 2020

The name Chenopodium hircinum (Chenopodiaceae) applicable to a South American tetraploid species is lectotypified on a specimen deposited at LE (barcode LE00011694, right-hand specimen) that is associated with H.A. Schrader and his herbarium purchased for LE in 1841. A brief overview of relationships of the pseudocereal crop species C. quinoa withC. hircinum (considered to be a wild crop relative and/or progenitor) is also provided. Since the lectotype of C. hircinum in LE lacks mature fruits/seeds, which are important for morphology-based diagnostics of taxa of Chenopodium (and also of infraspecific taxa described within C. hircinum), designation of an epitype with well-developed fruits/seeds is desirable according to Art. 9.9 of the ICN. However, we argue that an epitype should be proposed later, after achieving a better understanding of the variability of C. hircinum and proper typification of its infraspecific taxa, because hasty epitypifications could be nomenclaturally confusing and disrupting. In our opinion, an epitype specimen for that taxon name should represent a plant corresponding to the lectotype and well characterized molecularly, genetically and morphologically.