bluuebunny/crossref_metadata_2025 huggingface dataset:
Flood Frequency Analysis at the Downstream of Sg. Perak River Basin using Annual Maximum Flow Discharge Data
Authors: Snu Munir , L.M Sidek , Sh Haron , Ns.M Noh , H Basri , Marufuzzaman M. , Z.M Hafiz , Az.A Razad
Published: April 2019

The recent flood event occurred in 2014 had caused disaster in Perak and Sungai Perak is the main river of Perak which is a major natural drainage system within the state. The aim of this paper is to determine the expected discharge to return period downstream for Sg. Perak River Basin in Perak by using annual maximum flow data. Flood frequency analysis is a technique to assume the flow values corresponding to specific return periods or probabilities along the river at a different site. The method involves the observed annual maximum flow discharge data to calculate statistical information such as standard deviations, mean, sum, skewness and recurrence intervals. The flood frequency analysis for Sg. Perak River Basin was used Log Pearson Type-III probability distribution method. The annual maximum peak flow series data varying over period 1961 to 2016. The probability distribution function was applied to return periods (T) where T values are 2years, 5years, 10years, 25years, 50years, and 100years generally used in flood forecasting. Flood frequency curves are plotted after the choosing the best fits probability distribution for annual peak maximum data. The results for flood frequency analysis shows that Sg. Perak at Jambatan Iskandar much higher inflow dischargeÂ  which is 3714.45m3/s at the 100years return period compare to Sg. Plus at Kg Lintang and Sg. Kinta at Weir G. With this, the 100years peak flow at Sg Perak river mouth is estimated to be in the range of 4,000 m3/s. Overall, the analysis relates the expected flow discharge to return period for all tributaries of Sg. Perak River Basin.
Analysis and Optimization of 275 kV Transmission Tower by Using Linear Static Analysis and P-Delta Analysis.
Authors: Kamarudin Siti Aisyah , Usman Fathoni , Che Omar Rohayu , Mat Yatim Mohd Yazee
Published: April 2019

The increasing global population was demanded for more consumption of electricity. In Malaysia, it was reported that 17,790 megawatts (MW) was consumed in October 2017 due to high demand. The peak reading recorded is 0.011% increase compared to demand on April 2016 (17,788 MW). Following this, more transmission tower lines need to be developed to generate more electricity. Land acquisition is the main issue for constructing the new transmission tower because it requires a large area to set it up. The idea of optimization on the existing transmission tower helps in reducing cost for constructing the new structure. The aim of this study is to develop an optimal design of the transmission tower. A 275 kV transmission tower model is used in this study for analyzing and optimizing by using linear static and p-delta analysis. This optimization method is done by reducing tower members as well as increasing size of memberâ€™s element. A design calculation for modification and arrangement of the transmission tower members is referred to manual guidelines of EN1993-3-1 and ASCE 10-97. Two alternatives are being prepared to produce an optimal design and result shows that a reduction percentage in term of reduced number of bar members can be saved up to 34 %.
Alternative Approach to Conventional River Water Treatment Using Natural Coagulant
Authors: Selvaraj Komathy , Sidek Lariyah Mohd , Mohd Noor Megat Johari Megat , Tamunaidu Pramila , Goto Masafumi
Published: April 2019

Extensive studies have been conducted to discover natural, efficient and cost-saving coagulants for water treatment. Meanwhile, chemical coagulants are being used conventionally in drinking water treatment. This study investigates the efficacy of diatomite as a natural coagulant in river water treatment. First, synthetic turbid water was used to validate the coagulant efficiency. Then, coagulation and flocculation behaviors were studied by using the river water samples from Langat River and Semenyih River. Turbidity removal efficiency of synthetic turbid water revealed that a low dosage of 3.5 mg/L could reach turbidity reduction of 83.46%. The turbidity reduction for Semenyih River water with initial turbidity of 31.8 NTU was achieved at 91.7% with 18 mg/L dosage at pH of 7.4 whereby, for Langat River water with an initial turbidity of 43.3 NTU, the turbidity reduction was achieved at 94.5% with a dosage of 26 mg/L at pH of 8.0. These results showed that water turbidity removal was influenced by both high and low natural organic material. This is because the best dosage of coagulant is indirectly proportional to the molar mass of natural organic material. In conclusion, diatomite is a promising material to be used as a natural coagulant in water treatment applications. Â
Estimation of Building Energy Efficiency Performance Using Radial Basis Function Neural Network
Authors: Razali Che Munira Che , Hussein Shamsul Faisal Mohd , Harudin Nolia , Abdullah Shahrum Shah
Published: April 2019

Since a pass few decades up to recent, building energy efficiency performance is the top priority due to the sustainability of energy and quality of life. According to recent study related to computer experiment, there are various types of the model has been proposed by the researcher to improve the performance of building energy efficiency. However, there is no empirical evidence to prove the best method in prediction and estimation of energy efficiency that ensure adequate energy to meet todays and future needs. The objective of this paper is to propose Radial Basis Function Neural Network (RBFNN) for estimating the heating load and cooling load of a residential building. This study set out to evaluate different estimation methods of residential building energy efficiency using RBFNN. The data of residential building are obtained from UCI Machine Learning Repository. The dataset of simulation using Ecotect consists of 768 samples with 8 input features and 2 output variables were used to train and test the algorithm of RBFNN. The input variables involved in this experiment are relative compactness, surface area, wall area, roof area, overall height, orientation, glazing area, and glazing area distribution of a building, while the output variables are heating and cooling loads of the building. The analytical result of the proposed method shows that RBFNN produces better result and performance compared with the previous researches.
Flood and Flash Flood Geo-Hazards in Malaysia
Authors: Buslima F. S. , Omar R. C. , Jamaluddin Tajul Anuar , Taha Hairin
Published: April 2019

Floods are natural phenomena of geo-hazards that usually happened when experiencing prolonged heavy rainfalls. Floods in Malaysia can be categorized into monsoon floods and flash floods. Monsoon floods is caused of Northeast Monsoon season commences in early November and ends in March that brings heavy rainfall, particularly to the east coast states of Peninsular Malaysia and western Sarawak. Flash floods usually occur in areas with rapid development by a rapid rise in water level, high velocity, and large amounts of debris. Flooding that occurred in December 2014 can be classified as worst floods that affected several states in Peninsular Malaysia, and the worst affected is Kelantan state. This disaster was recorded more than 200,000 people were affected with 21 people were killed and gives a massive impact on people, properties, agriculture, livestock, and infrastructure facilities. Following the worst floods that hit Malaysia in 2014, the opinions and views from various parties such as subject matter experts was needed to produce mitigations and prevents of the flood disaster at once to minimize vulnerability to hazard.
Determination of Segari Rock Slope Excavation Technique using Geological Strength Index (GSI)
Authors: Roslan R , Omar RC , Baharuddin I.N.Z. , Taha Hairin , Fared M.M. , Hashim W.N.S.W.
Published: April 2019

Segari - Ayer Tawar rock materials were generally characterized as slightly weathered (Grade II) to moderately weathered (Grade III).Â  Laboratory tests such as Brazilian tensile strength and point load strength index including direct shear strength were carried out using collected weathering sample from borehole to assess the rock strength. Hence, index testing was used to predict geological strength index, rock failure criterion from Hoek-Brown and deformation modulus mainly for the classification of rock mass engineering properties.Â  The relationship between the uniaxial compressive strength and geological strength index of rocks were used in proposing suitable methods for cutting the rock slope.
Factors Influencing CO2 Emissions and Strategies for Emissions Reduction in Malaysian Transportation Sector
Authors: S.I Mustapa , H.A Bekhet
Published: April 2019

The rapid urbanisation and economic growth has led to unprecedented increase in CO2 emissions, which led to a vital global issue due partly to the rise in demand from the transport sector. In the years ahead, the transport services demand is likely to increase further, which lead to intensification in CO2 emissions as well. The transportation sector in Malaysia contributes for about 28% of total CO2 emissions, of which 85% of it goes to road transportation mode. This has led to a great interest in how the CO2 emissions in this sector can effectively be reduced. Using a multiple regression model and datasets from 1990 to 2015, this study aimed to examine factors that influence the CO2 emissions in Malaysia. Key factors of CO2 emissions, i.e., fuel consumption (FC), distance travel (DT), fuel efficiency (FE), and fuel price (FP) were investigated for the road transport sector. The findings demonstrated that the impact of factors on CO2 emissions were varies in each technology vehicles. These findings not only contributes to enhancing the current literature, but also provide insights for policy maker in Malaysia to design policy instruments for road transport sector.
Oil Palm Empty Fruit Bunches Fiber-Supported Heterogeneous Acid Catalyst for Esterification of Oleic Acid: Effect of Different Transition Metal Sulfate
Authors: Gowri Krishnan Shamala , Pua Fei-ling , Palanisamy Kumaran , Nabihah Syed Jaafar Sharifah , Subramaniam Koguleshun
Published: April 2019

This paper presents the investigation of oil palm empty fruit bunch (EFB) fiber-supported heterogeneous acid catalyst that was prepared via direct impregnation method by using various types of transition metal sulfates, including Fe2(SO4)3, NiSO4.6H2O, and CuSO4. The EFB fiber-supported heterogeneous acid catalyst was applied for esterification of oleic acid. Hence, structural, chemical, morphological, and elemental properties of the catalyst were examined through the use of X-ray diffraction (XRD), Fourier transform infrared (FTIR), scanning electron microscope (SEM), and electron dispersive X-ray spectroscopy (EDX) analyses. Meanwhile, the acidity properties of each catalyst were characterized via acid density test. The prepared catalyst, which had been loaded with Fe2(SO4)3, exhibited the highest acid density up to 2.4 mmol/g. Next, the catalytic activity of the heterogeneous acid catalyst was further investigated through esterification of oleic acid at 60Â°C with 5 wt% catalyst loading for 2 hours of reaction time. The prepared catalyst, which was loaded with Fe2(SO4)3, again displayed the high esterification conversion rate at 93.90% and was used up to five reaction cycles.Â
Reservoir Sediment Inflow Prediction using Integrated Rainfall-Runoff and Discharge–Sediment model
Authors: Razad A.R Abdul , L.M Sidek , H Basri , J.L Alexander , K. Jung , S.K Sinnakaudan
Published: April 2019

Reservoir sedimentation adversely affects both operation and safety of dam. It is important for reservoir manager and operator to predict the incoming sediment inflow into a reservoir to develop sustainable sediment management plan. Continuous sediment monitoring is preferred to estimate total sediment load but it is labor intensive and costly. To cope with these limitations, total sediment inflow into a reservoir is predicted by coupling the runoff from hydrological model and sediment rating curves derived from field sampling dataset. In this research, MIKE NAM rainfall runoff model is used to simulate runoff in Cameron Highlands’ catchment, using hydrological data from 1999 to 2012. This model is calibrated and validated using the flow data of Sg Bertam. Field sampling is conducted to measure the Total Suspended Solids (TSS), Bed Load and grab samples at major rivers namely Sg Telom, Sg Habu, Sg Ringlet and Sg Bertam. Sediment rating curves using power function are used to describe the relationship between the total sediment load and discharge. Using this concept, annual total sediment inflow into Ringlet Reservoir from 1999 to 2012 is estimated in the range of 100,000 m3/year to 270,000 m3/year, agreeable to the survey records previously.
Developing A Method for Estimation of Tightness Based on Calibration Characteristics
Authors: Asadova Yu.S. , Nemenko M.V. , Volodina A.M.
Published: April 2019

This article discusses methods of assessing tightness of mass-produced products. In order to reduce errors in the calibration of gas analytical leak detectors, a method is proposed which is based on transferring a certain number of molecules from the measuring chamber. This is done by means of a throttle device called frequency resistance. Based on the tests performed, results of the study are displayed.
Structure Selection Technique of Multi-Processor Computing Systems
Authors: Kovalenko S.M. , Petushkov G.V. , Platonova O.V.
Published: April 2019

This paper discusses construction of modern microprocessor structures and computing modules, including microprocessors and RAM, as well as computing systems containing computing modules combined by network means.  Also, the "overhead" expenditure of time used for data transmission in the considered subsystems is analyzed. Estimates of the time spent on calculations and data exchange in multiprocessor computing systems (VS) are considered.  An expression is derived for estimating the optimal number of computational modules in an aircraft that provides the minimum program execution time. Implementation of an aircraft with the structure recommended in the work, allows us to increase the overall performance of the system when performing the tasks that require intensive data exchange between individual computing modules. The results of research are expected to be used in the design and development of high-performance aircraft structures.
PLIE- A Light-weight Image Encryption for data Privacy in mobile cloud storage
Authors: Sankari M. , Ranjana P.
Published: April 2019

Data privacy is the greatest challenge of mobile cloud computing to secure the image data. Traditional encryption techniques are mainly suitable for text data than image data. In this paper, we introduce a method called Privacy-preserving light weight Image Encryption (PLIE) to protect the image data in mobile cloud, maintains the userâ€™s privacy by keeping metadata in mobile. It improves the throughput, speed-up the encryption time in mobile and minimize the complexity. Basically,three processes handled on image data such as split, distribute and scramble (SDS) in mobile for maintaining the userâ€™s privacy and store it in cloud. For our analysis of gathering images, the encryption time of the PLIE method implemented in python language resulted as approximately 50% reduced than AES. We measured the performance analysis of existing method(AES) with the proposed method(PLIE) by various parameters. In addition,we present some security attacks to evaluate the level of security.Â Â
Development and Design Of 8x1 Micro Strip Antenna Array for Military/Satellite Communication
Authors: Mary Joy Kinol A. , Sahaya Anselin nisha A.
Published: April 2019

Antenna design has become as established field of research in recent years. The most important feature of MPA is low cost, low profile and single layer configuration. The frequency band at which the patch antenna operates is 12-1GHz and antenna array are fielded by Microstrip field line incorporated with 50 Ω impedance. In order to achieve enhancement in gain, directivity, bandwidth and return loss Quarter wave transformer and power divider are used. Microstrip patch antenna, employed with highly reflective properties   is presented with the results of modeling, design and simulation. To illustrate this techniques a KU band 2×1, 4×1, 8×1antenna array integrated with series corporate feeding network are designed and simulated. The maximum gain of14.56dB at 10 GHz, the impedance beam width is 86.72% and 99% efficiency is arrived using this technique. Maximum radiation pattern is achieved by using low dielectric substrate of RT-DURROID. The design is verified using HFSS software, used to simulate the antenna array.
Dysgraphi Coach: Mobile Application for Dysgraphia Children in Malaysia
Authors: Mohd Ariffin Mazeyanti , Zarith Nabilah Tengku Othman Tengku , Shakirah Aziz Nor , Mehat Mazlina , Izza Arshad Noreen
Published: April 2019

Learning Disability (LD) or Learning Disorders refers to the difficulties of obtaining, processing and storing information in their memory. There are several categories of LD including Dyslexia, Autism and Dysgrahia. The term Dysgrahia refers to learning difficulties which associates to writing skills. Commonly, Dysgrahia occurs to schoolchildren. Researchers proposed that Dysgraphia children could be assisted by using supportive learning tools, however the study on learning tools particularly in mobile application for Dysgrahia is still scarce. Thus, the objective of this paper is to report on the development of a mobile application called DysgraphiCoach as well as its usability testing results. The DysgraphiCoach was constructed by using Evolutionary prototyping approach. In future, DysgraphiCoach will be evaluated in terms of its effectiveness in improving writing skills among the Dysgrahia children.Â Â
SMART2L: Smart Water Level and Leakage Detection
Authors: Hafiz Kadar Haikal , Syarmila Sameon Sera , Ezanee Rusli Mohd.
Published: April 2019

The Internet of Things (IoT) technology can assist in the effective conservation of resources and energy management. With IoT, managing water level and detecting leakage within water pipeline distribution system can be automated. This is the golden opportunity as the field of water management and distribution progress with the advancement of IoT. Water shortage has been part of the crucial complications that encountered by many municipalities around the globe and surplus during transmission has been acknowledged as the main problem. Thus, the key idea for this project is to design a real-time low cost wireless system called as SMART2L to prevent Non-Revenue Water (NRW) commonly known as unbilled water wastage. SMART2L integrates with Internet of Things (IoT) that will make a change to the way of people live and manage their water resources smartly.Â Â
Digital Energy Hub for Optimizing Energy Usage: A Review
Authors: Bin Kasim Hairoladenan , Bin Ibrahim Zul-Azri , Bin Mohamed Ariff Mutahir
Published: April 2019

Energy usage as it relates to its security and management is an important aspect that all organizations having a vested stake in power production should be concerned with in these coming years. In this respect, harnessing the knowledge so that it may benefit various sectors, from the power producer right down to the customers, can be achieved by way of the digital energy hub, as proposed in this paper. We first put into context the workings and functions of such a digital platform, and then proceed to outline how it could benefit the many parties involved. Lastly, we take into account the challenges that needs to be addressed for its successful implementation, in which information security and privacy is a top priority amongst other issues.Â Â
Spr Based Biosensors Design for Detection of Different Skin Types Cancer
Authors: V.L Nandhini , K. Suresh Babu Dr. , Manna Moumita
Published: April 2019

The progress in the field of bio-medical is increasing rapidly. SPR based melanoma provides the accuracy to detect the affected cancerous cell on any skin types. The growth in the small black spot in malignant and invasive melanoma of normal cell over affected cell is unpredictable to detect cancer in any skin types biosensing application sensors have by focusing on the graphene layer. The FDTD simulation guides the SPR to provide the configuration concentration on the Metal-Insulator-Metal (MIM) layer. Simulations are performed on different types of Asian, Caucasian and Dark skin on SPR based biosensor. The ultra-high sensitivity of biosensors can be calculated at a higher rate using R-soft tool and the readings are observed in optical meter. From the obtained simulation results, the sensitivity of the Asian skin is 8812nn/RIU, Caucasian skin is found to be 6064nm/RIU and Dark skin is 9290nm/RIU. The design is emphasized in a way that will show various application on melanoma detection with a sensitivity of 8055nm/RIU for the wavelength of 1550nm. It has been observed that for 1550 nm wavelength.The light speed at which the waveguide travels is up to 3*10-8 m/s. Finally, the sensitivity, accuracy and quality factor has been computed and found to be very high.Â Â Â
A Conceptual Model on Websites Design Features for Self-Management of Chronic-Diseases Patients
Authors: Aini Saludin Farhana , Maarop Nurazean , Megat Mohd Zainuddin Norziha , Mohammad Roslina , Azmeela Shariff Sya
Published: April 2019

Undeniably, there are several reasons to be connected to the Internet. In healthcare, finding health information from the Internet and websites is common among the global community. Searching health information over the Internet can assists chronic-disease patients in self-managing their health condition. Self-management program with Information Technology empowerment would improve time, distance and traffic barriers because it is easily accessible, up-to-date, and offers tailored feedback to patients` health status. There is great demand of health websites use though at the same time users are facing concerns and limitations due to medical jargons use and navigational problems. Hence, there is a strong reason why more studies need to be conducted in this particular area especially in the design and development of health websites. Based on a review of relevant papers, this paper aims to propose a model for websites design features for self-management of chronic-diseases patients. Ten relevant features of health websites are extracted and proposed in this study. The study may be beneficial to health websites users and eventually improve their health conditions.Â Â
Effective Classroom Experience via Social Media: An Experience in UNITEN
Authors: Nabil Ahmad Zawawi Md. , . .
Published: April 2019

The impact of social media towards many industries mainly business and entertainment is very notable due to the availability of affordable smartphones to the masses. However, in contrast to that, this technology is not utilized extensively to extend the classroom experience for teaching and learning at a university level. While we have tools such as Moodle or other similar Learning Management System (LMS), it does not really provide the sense of presence that the social media tool is providing to its socially active new generation of learners. This paper identifies features in the social media tool (i.e, Facebook) and how it can be used to provide a better after class experience. These features are identified after implementation on different groups of students. The effectiveness is measured based on the studentsâ€™ grades, their participation level in the class and the lecturerâ€™s performance evaluation at the end of each semester. The paper also suggested proper guidelines for optimizing the use of social media as a tool to assist in teaching and managing classes with large group of students.Â
Finding Efficient Positive and Negative Itemsets Using Interestingness Measures
Authors: Asha P. , Prem Jacob T. , Pravin A.
Published: April 2019

Currently, data gathering techniques have increased through which unstructured data creeps in, along with well defined data formats. Mining these data and bringing out useful patterns seems difficult. Various data mining algorithms were put forth for this purpose. The associated patterns generated by the association rule mining algorithms are large in number. Every ARM focuses on positive rule mining and very few literature has focussed on rare_itemsets_mining. The work aims at retrieving the rare itemsets that are of most interest to the user by utilizing various interestingness measures. Both positive and negative itemset mining would be focused in this work.Â Â
Solvent Extraction Method for Separation and Determination of Zn (||) by Using of Imidazole Derivative
Authors: K. Jawad Shawket , Sahib Mohummed Husien Nemah
Published: April 2019

Solvent extraction as sensitive and effective method for separation, pre concentration andÂ  determination Zn+2 after converted the cation into ion pair complex by combination, coordinately with complexion agent 2-[(2-methylphenyl)azo]-4,5-diphenyl imidazol (MPADPI). Spectrophotometric study shows wave length for maximum absorbance of complication reagent equal to Î»max= 405nm but maximum absorbance wave length for ion pair complex extracted of Zn+2 equal to Î»max=535nm. The experimental studies for pin point the optimum conditions of extraction shows pH=10 in presence 50Âµg Zn+2 in 5mL with shaking time equal 10 min., by using slope analysis method and mole ratio method demonstrated the structure of the ion pair association complex was[1:1]2+;2Cl-,[MPADPI-Zn]2+;2Cl-. The experimental study about organic solvent effect shows there was not any linear relation between dielectric constant of organic solvent and the values that means there was not any effect for polarity of organic solvent on extraction efficiency but there was un effect for organic solvent structure .Temperature effect study shows the extraction method was exothermic behavior withÂ  thermodynamic factor equal toÂ  Î”Hex=-0.0255kJmol-1, Î”Gex =-19.4005 kJmol-1,Î”Sex 69.78 J molK-1 and other studies involved synergism effect, methanol effect ,spectrophotometric determination of Zn+2 in different samples.Â
Algorithms on Sparse Representation
Authors: Khalandar Basha D. , Venkateswarlu T.
Published: April 2019

Representation of signals and images in sparse become more interesting for various applications like restoration, compression and recognition. Many researches carried out in the era of sparse representation. Sparse represents signal or image as a few elements from the dictionary atoms. There are various algorithms proposed by researchers for learning dictionary. This paper discuss some of the terms related to sparse like regularization term, minimization, minimization, Â minimizationfollowed by the pursuit algorithms for solving Â problem, greedy algorithms and relaxation algorithms. This paper gives algorithmic approaches for the algorithms.Â Â
Secure Data Verification and Virtual Machine Monitoring
Authors: V. Samuel Blessed Nayagam P. , Shajin Nargunam A.
Published: April 2019

Powerfully configurable virtualized assets make the physical area of the information and process autonomous of its portrayal and the clients have no influence over the physical arrangement of information and running procedure. In a multi-cloud condition the layer of deliberation between the physical equipment and virtualized frameworks gives a great way to convey cost reserve funds through server union and also expanded operational productivity and adaptability. This additional usefulness presents a virtualization layer that it turns into a chance of assault for the facilitated virtual administrations. The proposed access control show ensures virtual machines by receiving access control at various layers. The information shading plan help to secure the virtualized information utilized in the virtual machines. The information confirmation structure, which gives a grouping of trust wipes out the untrusted special virtual machines, and additionally utilize the confided in processing standards to guarantee the respectability of the checking condition. Safeguarding security plot ceaselessly screens the working and trade of information between the virtual machine. The test results demonstrate that this plan can viably counteract virtual machine escape without influencing the general productivity of the framework.Â
The Relationship between Macroeconomic Factors and Stock Market Indices Performances in Indian Stock Market
Authors: Kinslin D. , P. Velmurugan V.
Published: April 2019

This investigation endeavors in observationally testing the connection between macroeconomic variables and the exhibitions of two noteworthy Indian security advertise lists of BSE-sensex and NSE-clever. The yearly information of a few macroeconomic elements of FIIs net venture, trade rates, oil value, financing costs, swelling rates and gold rates from 1995-96 to 2014-15 are thought about and it attempts to uncover the most impact of these elements on the 'Stock files exhibitions' of the Indian securities exchange. In compatibility of this, the connection investigation and various relapse examination was utilized to contemplate the connection between the two chose security advertise files exhibitions and the six chose macroeconomic elements from the Indian economy. The significant finding is that macroeconomic elements impact securities exchange lists exhibitions in India. It is suggested that the usage of appropriate monetary approaches will be useful to money markets files and it will result in required development in the Indian capital market.Â Â Â
Developmental Speaking as A Strategy to Enhance Communication Skills â€“ A Cognitive Based Approach
Authors: Sreena S. , Ilankumaran M.
Published: April 2019

Language is a particular system of communication used by human beings. It consists of development, acquisition, maintenance and use of complex systems of communication. Learning a language is not only a matter of motivation, ability and background but also it depends on the social and linguistic environment of the learners. Human beings are separated to other species in the name of communication skills. Listening skills made the people understand what another person speaks. Speaking skills are helpful to convey the wishes and idea of one person to the other in the correct way. Reading skill is essential to interpret what is given in the text. Writing is to deliver oneâ€™s thoughts. Learning strategies and processes are the most effective when they are in line with the learning style preferences. So, it becomes useful to know which learning strategy is effective to help the learners acquire the knowledge quickly and effectively. Developmental speaking is the effective strategy to enhance the communicative skills based on the process of human brain. Communication skills are necessary for a person to develop the personality. Second language is the non-native language used by the people in a locality for the communication purpose. Second language can be acquired at any age with the strategy of developmental speaking. Cognitive approach is related to the psychological factors of an individual. The paper attempts to discuss a psychological approach to enhance communication skills using developmental speaking as a strategy.Â Â
Diagnoses of Blood Disorder in Different Animal Species Depending on Counting Methods in Blood Cell Images
Authors: H. Al-khafaji Kawther , H. Al-khafaji Athraa
Published: April 2019

Counting of red blood cells (RBCs) in microscope blood cell images, can give the pathologists valuable information regarding various hematological disorders, like anemia, leukemia,....etc. in several animal species, in this paper, an automated vision system has been developed which is capable of counting of red blood cells, in blood samples by applying different algorithms, based on red blood cellshape, the difference in the red blood cell shape of animal species make it difficult to use a one algorithm, therefore, for each animal species used specific algorithm which was capable of counting of RBCs effectively.Â
Strehl Ratio for Annular Eccentric Circular Aperture with Presence of Seidel Aberrations
Authors: Mohammed Faisal Farah , Y. Hasan Sundus
Published: April 2019

In this research the equation of point spread function (PSF) has been derived for annular eccentric aperture optical system which is consisting of circular perture with non-central circular obscuration. The study was done with diffraction limited system and when different 1st and 3rd orders aberrations were present. Also trying to show how the presence of some 1st order errors with some of 3rd order aberrations were affected on Strehl ratio and make a balancing of aberrations which gives in turn a better image.
A Factorial Analysis of Information Ratio and Its Causal Effect on Yearly Return of Net Asset Value – A Study of Indian Equity Diversified Mutual Fund Schemes
Authors: Chakraborty Suman , Kumar Satish , Shawn Lobo Lumen
Published: April 2019

Evaluation of performance of mutual fund schemes has gained a wide range of attention from both investors and academicians. The study aims at assessing the returns from equity mutual fund schemes in India by applying risk adjusted performance evaluation techniques. The study is based on secondary data collected for ten years for selected open ended equity diversified mutual funds. A comparative assessment of performance of public sector sponsored equity funds and non-government sponsored  sector funds bring forth with an interesting inference. The present study also constitutes a modest attempt to assess the information ratio and its causal effect on the average yearly return of Net Asset Value (NAV). Based on the previous research findings, this paper puts an honest effort to identify twelve independent variables which affects significantly the performance of NAV. The evaluation relies on the Sharpe, Trenor and Jensen’s technique, which have been applied in conjunction with parametric and non-parametric statistical tools using. The result shows significant relationship exists between the NAV return and fund’s risk, information ratio, macro-economic variables such as inflation, interest rates, market index performance, foreign flow of funds and foreign exchange on the basis of regression analysis.
Power Quality Improvement by Upqc With Real Power Injected Micro Turbine
Authors: Ramesh T. , Manimaran S. , Kaliappan S. , Emayavaramban G. , Saravanan R.
Published: April 2019

Power Quality is one of the major concerns in the present system. Due to the rapid growth of non-linear loads, major power quality problems such as harmonics, unbalance operation and voltage deficiencies (i.e., sag and swell) arise. This paper proposes MTG based Unified Power Quality controller (UPQC) to get better the power quality troubles like voltage sag, current unbalance in the LV residential feeders which performs both the series and shunt operation. In this paper, Micro Turbine Generator (MTG) system is proposed to improve the efficiency and environmental benefits. The proposed system consists of two types, single shaft and split shaft MTG system. Among these two types, single shaft system is used which is simple in structure and easy to implement. The output of MTG system is connected to the DC link of UPQC. This proposed system reduces the THD content in the source voltage and load current of the system. The presentation of the projected system is imitation using the MATLAB / SIMULINK.
Overview of Device-to-Device Communication and Vehicle-to-Vehicle Communication
Authors: Srikanth Kamath H. , . Sreelakshmi , Siri Chandana Reddy Muthyala , Camilo Monteiro Chelsea
Published: April 2019

5G (5th generation mobile networks or 5th generation wireless systems) is the next major phase of mobile telecommunications standards beyond the current 4G LTE (Long-Term Evolution) standards. 5G technology needs to be specified, developed, and deployed by a variety of industry players including network equipment vendors, network operators, semiconductor vendors, and device manufacturers. The scope of 5G will range from mobile phones to next-generation automobiles. Device to Device (D2D) Communication is regarded as a promising technology in 5G to provide low power, high data rate and low latency. Introducing D2D poses many challenges and risks to the longstanding cellular architecture, which is centred on the base station.
Determining Layer Oil Shale as New Alternative Energy Sources Using Core Analysis and Well Log Method
Authors: S Mulyanto Bagus , Dewanto Ordas , Rizky Sri
Published: April 2019

Oil shale is a type of shale containing organic material is not yet mature. When heated to a certain temperature, the organic content to mature so that it can produce petroleum. Exploration with a reliable method to energy sources of the future needs to be done, because it has a particularly important role in the context of the national energy supply security in the future.Â  Oil deposits in shale oil is quite high, estimated as relatively large reserves spread across several regions of Indonesia. To determine the content of oil shale in the basin necessary to evaluate the condition of the reservoir, by determining and analyzing the reservoir parameters. Determination and analysis of reservoir parameters is done by two methods, namely core analysis in the laboratory and log interpretation in the field. Â Â Determination of oil-bearing layer in the wells is performed quantitatively which is based on the value HTTI=14.20-75.30 ï€¨Â´103 cal cm-3)and Ro=0.70-2.17 (%). Â Further is qualitatively to determine layer containing shale (oil shale). Â First look at the layers of shale from the high GR value and then their separation sonic and resistivity in the shale layer. Â A layer of oil shale wells BG-6 is present at a depth of 1637-1687 meters. Â BGS-1 wells at a depth of 2025-2062, 2100-2125, 2175-2200, 2275-2310 meters. Â BGS-2 wells at a depth of 2025-2045, 2138-2160, 2275-2295, 2380-2405 meters. Â BGS-3 wells at a depth of 2150-2165, 2212-2225 meters. Â While the BGS-4 wells at a depth of 2175-2187.5, 2212.5-2245, 2300-2312.5, 2350-2388 meters.Â Â
Investigating the Effect of Knowledge Management on the Success of using Customer Relationship Management based on the Mediating Role of Organizational Factors (Case Study: Municipality of Tehran, Region 22)
Authors: Mehdi Jafarian Mohammad , Ghorbani Rahim , Alaei Susan
Published: April 2019

The present research studies the effect of knowledge management on the success of customer relationship management by considering the effects of organizational factors as a mediating factor. The type of research is applied and the method is descriptive survey. The statistical population of the study is the managers and experts of the municipality of Tehran 22nd district, that 207 of them were studied in the form of a statistical sample. Data analysis was performed using single-variable linear regression and confirmatory factor analysis. The results showed that the variables of customer relationship management technology, customer orientation and knowledge management capabilities were significantly influenced by the success of customer relationship management. Also, the variables of customer relationship management experience and organizational factors have a significant effect on the success of customer relationship management.Â
Evaluation of Synthesized Catalytic Complex Structure-Forming Ability during Paraffin Base Tar Upgrade
Authors: F. Kemalov Alim , A. Kemalov Ruslan , Serge-Bertrand Adiko
Published: April 2019

The combination of the synthesized multicomponent bifunctional catalytic complex (MBC) components with heavy oil residues (HOR) of the paraffin-naphthenic (P-N) base leads to the chemical structuring of the hydrocarbon (HC) segments of the raw material molecules, and the specifics of HOR physicochemical structure, which will be the criteria for the selection of modifiers with a certain chemical nature [1,2,3,4]. It has been established that the introduction of catalytic activators in the tar composition promotes both the intensification of the oxidation process and the production of bituminous insulating material (BIM) with high physicomechanical properties [1,2,4].Raw materials for the production of special bituminous materials must be highly resinous with a P-HC content of up to 3% by weight. Based on the works by A.S. Kolbanovskaya [6], this is explained by the fact that the dispersed structure of bitumen is significantly dependent on the content of P-HC, since the dispersed phase in the oils is formed by naphthenic (N-) and PN-A-HC at certain temperatures with the side chains of the paraffinic P-HC series. If their content is more than 3% by weight the crystallization skeleton of P-HC is developed, which provides stiffness and reduces the plasticity interval for the system. Together with this, it is known that in the process of HOR oxidation the amount of low-molecular-weight oil A-HC decreases continuously, and the relative amount of PN-HC increases. Due to this, the affinity of the dispersion medium (DM) decreases to asphaltenes [7,8,9], which, moreover, becomes larger, which leads to THE deterioration of the cohesion and adhesion-strength properties of BIM.Â Â
Improving the Performance of Decking Board for Use in Landscape Design
Authors: R. Safin R. , F. Ilalova G. , R. Hasanshin R.
Published: April 2019

In recent years improving the efficiency of wood use is gaining ever-increasing relevance both in Russia and abroad. In issues related to the thermal modification of the properties of wood the increased interest of scientific community can be observed. Heat treatment causes a change in the physical properties and chemical composition of wood raw materials, which subsequently contributes to improvement of the performance characteristics of composite materials and the production efficiency of chemical products from thermally modified shredded wood. The purpose of developing this technology is to improve the performance characteristics of products made of wood-polymer compositions, as well as improved final qualities of the material, namely, the absence of the odor characteristic of thermowood and the formation of cracks on the surface of the material. The effect of the preliminary heat treatment of ground wood in disc-type reactors on water absorption, swelling and tensile strength and compression is established. In the future, the material obtained by this technology can be used in landscape design.Â Â
Decoration of Ceramic Tile by Outsible Materials, as a Universal Method of Treating Children under the Conditions of Hospital
Authors: A. Boyko Yu. , P. Dragunova E.
Published: April 2019

A modern person, being subjected to ever-increasing loads, is forced to constantly think about the preservation of health and efficiency. Consultative and treatment centers have gradually become important objects of maintaining health, in which people spend quite a large part of their time, starting from the first days of life. Unfortunately, in recent years, a significant proportion of patients at medical centers and clinics have been composed of children of different age groups, as the most vulnerable part of society carrying the burden of the social life of a metropolis. This article analyzes the possibility of using overglaze painting to create visual images of any degree of complexity on the surface of ceramic tiles when designing medical centers for treating children.
Development of Didactic Materials for Preschool Children with Different Sensory Perceptions
Authors: A. Komissarova L. , V. Yakovleva V.
Published: April 2019

This article discusses the universal design in the subject environment. Universal design in the sphere of subject environment is a developing direction, which is necessary, especially in the field of education. Development of didactic materials for children with different sensory perceptions is proposed.
The Use of Multi-Walled Carbon Nanotubes and Nanoclay for Simultaneously Improving the Flame Retardancy and Mechanical Properties of Epoxy Nanocomposites
Authors: Tuan Anh Nguyen , Quang Tung Nguyen , Trong Phuc Bach , Xuan Canh Nguyen
Published: April 2019

In this study, the flame retardants epoxy nanocomposites were prepared by combining mechanical stir and sonication of epoxy Epikote 240 (EE240) resin, chlorinated paraffin, atimony oxide, multi-walled carbon nanotubes (MWCNTs) and montmotillonite clay. Resultants of CNTs, montmorillonite and flame retardant additives were investigated limiting oxygen (LOI) and UL-94, combustion rate. The SEM, FE-SEM, TEM were measured to analyze the dispersion of MWCNTs and montmorillonite clay in epoxy matrix. The mechanical properties including tensile strength, compressive strength, flexural strength and impact strength Izod were studied. The results of testing burning and mechanical properties indicated that CNTs were more efficient than clay in improving the flame retardancy of materials. The dispersion method combining of mechanical stir and sonication is the good choice to distribute additive agents into epoxy matrix.
Insights of Smart Community in Kemaman
Authors: Md Kassim Normalini , Nathan Lurudusamy Saravanan , Yeap Ai Leen Jasmine , Ramayah T. , Hazlina Hashim Nor
Published: April 2019

A smart community is regarded as a community where various next-generation technologies and advance social systems are effectively integrated and utilized, including the efficient use of energy, utilization of resources, and improvement and transformation of the everyday lives of citizens. Since technology being a major element in smart community implementation, this research focused on the identification of those research streams which are adoption and continuance of usages. The investigation targets of this research are individuals from Kemaman in Terengganu, who are existing and potential adopters of the smart community facilities, ranging from different demographic background. Preliminary information has been gathered from the local authorities such as district officers, local agencies, community leaders and local institutions. Their responses are used together with the suggestions for the Smart Community process improvement which will also be part of this study. Survey is used as the research instrument and the units of analysis are households and stakeholders who are involved in these four districts in Malaysia. As this is a quantitative study using positive epistemology, data obtained from the survey are analyzed using Partial Least Square (PLS-SEM), to test the hypotheses that explain the relationship between the constructs in a wholesome perspective. This research will conclude by recommendations that hold some insights of the usage continuance of the smart community facilities in Kemaman household context.
Trilinear Finite Element Solution of Three Dimensional Heat Conduction Partial Differential Equations
Authors: Sulaeman Erwin , M. Afzal Hoq S. , Okhunov Abdurahim , Badran Marwan
Published: April 2019

Solution of partial differential equations (PDEs) of three dimensional steady state heat conduction and its error analysis are elaborated in the present paper by using a Trilinear Galerkin Finite Element method (TGFEM). An eight-node hexahedron element model is developed for the TGFEM based on a trilinear basis function where physical domain is meshed by structured grid.Â  The stiffness matrix of the hexahedron element is formulated by using a direct integration scheme without the necessity to use the Jacobian matrix.Â  To check the accuracy of the established scheme, comparisons of the results using error analysis between the present TGFEM and exact solution is conducted for various number of the elements.Â  For this purpose, analytical solution is derived in detailed for a particular heat conduction problem.Â  The comparison shows promising result where its convergence is approximately O(hÂ²) for matrix norms L1, L2 and LÂ¥.Â Â