bluuebunny/crossref_metadata_2025 huggingface dataset:
The Future of Cognitive Neuroscience
Authors: Ismafairus Abd Hamid Aini , Malin Abdullah Jafri , Fauzan Norsiah
Published: April 2019

Cognitive neuroscience is an interdisciplinary area focusing on the application of neuroscience knowledge in areas such as neuroimaging studies, computer science, psychology, marketing, business, general and special education, social sciences, engineering, biology, learning science, health, etcetra. It is a new emerging field that may help Malaysia in the move towards 2050 for the development of economic, improve levels of knowledge and education, intensify healthcare, enhance people’s well-being and expand network collaboration.   Academicians, scientists, industry and educators must concentrate on the application cognitive neuroscience in their field of studies. There is a lack of neuroscientists in these fields, and concentrated efforts must come from the top down as well as the bottom up. We need to bring brain and mind sciences and neuroscience to a reputable level that will improve physical and mental health and increase creativity and innovation in Malaysia: A national institute to amalgamate the creative and innovative mind, behaviour, and brain sciences and neuroscience must be established.
YouTube: big data analytics using Hadoop and map reduce
Authors: Chandra Sekhar Reddy L , D. Murali Dr
Published: April 2019

We live today in a digital world a tremendous amount of data is generated by each digital service we use. This vast amount of data generated is called Big Data. According to Wikipedia, Big Data is a word for large data sets or compositions that the traditional data monitoring application software is pitiful to compress [5]. Extensive data cannot be used to receive data, store data, analyse data, search, share, transfer, view, consult, and update and maintain the confidentiality of information. Google's streaming services, YouTube, are one of the best examples of services that produce a massive amount of data in a brief period. Data extraction of a significant amount of data is done using Hadoop and MapReduce to measure performance. Hadoop is a system that offers consistent memory. Storage is provided by HDFS (Hadoop Distributed File System) and MapReduce analysis. MapReduce is a programming model and a corresponding implementation for processing large data sets. This article presents the analysis of Big Data on YouTube using the Hadoop and MapReduce techniques.
Varying operating frequency of concentric circular ring patch antenna using high impedance surface
Authors: Orugu Rangarao. , Gundapaneni Srilatha. , Maryleena N , K.Chaithanya Varma A
Published: April 2019

In this paper, we design a concentric circular patch antenna excited by microstrip feed and operates at 5.4269 GHz and 6.9419 GHz. After designing the antenna, we would like to tune the frequency without changing antenna size. For that purpose, we use high impedance surface structure to tune the antenna at two different frequencies. A simple mushroom like structure is used as high impedance surface. We will analyze antenna parameters like return loss, gain, directivity, radiation patterns, efficiency, proposed antenna with and without high impedance surfaces and compare the results.
Theory of a superconducting artificial neuron for extended backpropagation learning algorism
Authors: Katayama Haruna , Fujii Toshiyuki , Hatakenaka Noriyuki
Published: April 2019

An artificial neuron using superconducting devices, so-called double SQUID, applicable to the extended backpropagation learning algorism is studied. It is shown that the tunable slope of the sigmoid function required in the algorism can be achieved under the fixed temperature by externally applied magnetic fields threading the ring with two Josephson junctions in the double SQUID.
Performance analysis of integrated WLAN-WiMAX-UMTS networks for multimedia applications
Authors: Samundiswary P , M Sivasindhu
Published: April 2019

Next Generation Wireless networks (NGWN) are the integration of different types of available wireless networks. These integrated networks will provide seamless connectivity for multimedia user applications. Among various wireless networks, the networks such as Wireless Local Area network (WLAN), Worldwide Interoperability for Microwave Access (WiMAX) and Universal Mobile Telecommunications System (UMTS) have their own unique characteristics and support for wide range of multimedia user applications. So, the integration of these networks and their performance analysis in respect of Quality of Service (QoS) is a major concern nowadays. Hence, this paper deals with the integration of WLAN, WiMAX and UMTS networks by considering QoS parameter. Further, the integration of these networks are analyzed with loose coupling and tight coupling architecture along with and without QoS. Furthermore, the performance analysis of the above mentioned integrated network for multimedia applications is also done. The simulation is performed through Opnet simulator.
Performance evaluation of GaAs photonic crystal based directional coupler all optical switch
Authors: M Sivasindhu , Samundiswary P
Published: April 2019

In future, the telecommunication systems will be totally based upon the photonic integrated circuits and components for the transmission of optical signals. Since optical signals offer high speed, less delay and higher efficiency. This introduces a new research area for photonic crystal based optical components like optical switch, multiplexer, optical filters etc. Among these devices, the optical switch draws more attention due to its primary switching operation. Hence, this paper deals with the modified design structure of GaAs photonic crystal based directional coupler all optical switch which operates at the wavelength of 1300nm. Further the switching performance evaluation of this device is made for both electro optic effect and non-linear optical effect. The design and simulation of the optical switch is done through Comsol Multiphysics software.
Usage of co-event pattern mining with optimal fuzzy rule-based classifier for effective web page retrieval
Authors: Chandrashaker Reddy P , Suresh Babu A
Published: April 2019

With the coming of the World Wide Web and the rise of web-based business applications and informal organizations, associations over the web create a lot of information on a daily basis. It is becoming more complex and critical task to retrieve exact information from web expected by its users. In the recent times, the Web has extended its noteworthiness to the point of transforming into the point of convergence of our propelled lives. The search engine as an apparatus to explore the web must get the coveted outcomes for any given query. The greater part of the search engines can't totally fulfill user’s necessities and the outcomes are regularly inaccurate and irrelevant. knowledge of ontology and history is not much personalization in the existing techniques. To conquer these issues, data mining systems must be connected to the web and one advanced powerful concept is web-page recommendation which is becoming more powerful now a day. In this paper, the design of a fuzzy logic classifier algorithm is defined as a search problem in the solution space where every node represents a rule set, membership function, and the particular framework behaviour. Therefore, the hybrid optimization algorithm is applied to search for an optimal location of this solution space which hopefully represents the near optimal rule set and membership function. In this article, we reviewed various techniques proposed by different researchers for web page personalization and proposed a novel approach for finding optimal solutions to search the relevant information..
The “Ideal” TH Model Framework to Promote Knowledge Talent : a Malaysian Case
Authors: Nadia Mohd Salleh Masrina , Tasnim Rahayu , . .
Published: April 2019

The Talent is viewed as a competitive issue. Meanwhile, Knowledge Talent is indeed required for shaping an innovative ecosystem sphere. Malaysia is still fighting the “Knowledge Talent” war due to the rising talent and skill gap between available graduates and industries’ demands.  Profound collaboration between the Government, University and Industry known as Triple Helix (TH) model has been highlighted as the main driver to fill this gap. Providing an exploration of the fundamental conditions and contextual sensitivity that hinder university-industry linkages, this paper suggest the ideal TH model framework to fill the gap and provide a solid basis by considering institutionalism perspective in the Malaysia context. The evolutionary perspective stipulates better understanding of overlay in communication and gap between the Government, University and Industry to reshape the Knowledge Talent pool systems to fill the gap in contributing to the transition of a hybrid TH culture-taking root.
The Attitude of Mobile Users on Mobile Marketing: Case Study on Fast Food Restaurant at Bukit Bintang
Authors: Mohd Nazari Nazari Norwani , Faiq Bin Abdul Fattah Mohd , Binti Zainuddin Zalina , Binti Haslina
Published: April 2019

Mobile marketing is increasing popularity despite, it is not fully utilized in fast food restaurant. The objective of the study are, firstly to examine customer attitude toward mobile marketing, secondly to assess the perceptions that influence attitude towards mobile marketing, thirdly to identify significant relationship between attitude and mobile marketing promotional tools, and forth, to evaluate the effectiveness of mobile marketing as promotional tool. The study area is in Bukit Bintang, Kuala Lumpur conducted over sample of 384 respondents. Triangulation methodology of both qualitative and quantitative methods including survey questionnaire, field observation, telephone and face to face interview are used in this study. The finding shows there is favorable attitude towards mobile marketing in the customer population, gauging actual use of mobile marketing of fast food restaurant. The perceptions influencing the attitude are Perceived Usefulness (PU), Perceived Ease of Use (PEU) and Mobile Phone Self-Efficacy (MSE). The underlying motives influencing use of mobile marketing of fast food restaurant are Speed, Functionality, Customer Friendly and Hospitality. Ranges of promotional tools in mobile phone have significance relationship with attitude and effective to achieve marketing goal such as increase sales and market growth for fast food restaurant.
Exploration of Spiritual Elements in Holistic-Entrepreneur (Holistic-E): Student Development Perspectives
Authors: N.H Mohamad , A Selamat , . .
Published: April 2019

The Entrepreneurship is seen as a potential career path for overcoming the problem of unemployment. However, this career has yet to get a second or even a last option among graduates in Malaysia. Government has introduced several initiatives to cultivate entrepreneurial spirit among students or graduates such as the first surge of the Malaysia Education Blueprint 2015-2025 (Higher Education) and Entrepreneurship Action Plan 2016-2020. Despite the magnitude of these efforts, little is known whether graduates today are entrepreneurial. Furthermore, based on current achievements, this is quite difficult to implement as the desire of graduates in entrepreneurship is not particularly encouraging, especially graduates in technical courses. Compared to previous studies on student development that only examines the external element of the student affecting entrepreneurial desires, this study focuses on the internal elements of students holistically to increase student entrepreneurial desires and improve entrepreneurship as one of the preferred careers in Malaysia in meeting the challenges of the first shift of the Malaysia Education Blueprint 2015-2025; produce more graduate entrepreneurs.
Will the Thai ABC Car Owners, Buy a Smart ABC Car? a Case Study in Bangkok Metropolis
Authors: Sittichainarong Keerati , Loh Aaron , Methavasaraphak Preecha , Barnes John
Published: April 2019

Thailand is the biggest manufacturer of trucks and cars outside of Japan and China in Asia. Many had reported that "smart" technology especially that which leads towards driverless or autonomous vehicles will be the most important single development that will affect the automobile industry both domestically and globally.  Hence this research is therefore on the readiness of Thai car owners to adopt the new technology and the intention to purchase a smart car in the near future. Specifically, it is a case study on the influential factors affecting the intent to purchase a smart car by owners of a top Japanese brand in Bangkok. A questionnaire survey was conducted on 385 existing car owners of the Japanese brand under consideration in metropolitan areas of Bangkok and the data returned analyzed by multiple linear regression. The outcome of the research pointed towards ‘Self-identity” and ‘Emotional connection’ as the most influential factors towards the intent to purchase a smart car.
The Implementation of Teaching and Learning for Islamic Education Subject (Fiqh) based on Cognitive Developmental Psychology Levels in Madrasah Tsanawiyah Negeri (MTs N) Malang 1
Authors: Dwi Kartikawati Rohana , . . , . .
Published: April 2019

The object of education is human being. Undersanding student developmental psychology is essential in teaching and learning process. The research entitled “The Implementation of Teaching and Learning for Islamic Education Subject (Fiqh) Based on Cognitive Developmental Psychology Levels In MTsN Malang 1” is intentionally aimed to explore how the teaching and learning on Islamic studies (Fiqh) could be implemented by considering the students developmental psychology.  This is descriptive qualitative research utilizing two perspectives as theoretical bases, Islamic perspective refers to Prophet Muhammad theory, and western perspective refers to Jean Piaget and Lev Vygotsky theories. The research begins by finding the problems, then breaking theories down to be reasearch instrument and comparing it as applied in model school, MTsN Malang 1. The result, based on both Islamic and western perspective theories, shows supports. Teaching and learning process are considered to implement interactive and cooperative models. Interactive model is implemented by utilizing learning technology such as LCD-projector and computer to show audio-visual contents, quiz creator and edmodo. And cooperative model is implemented not only by learning technology, but also language development applied in mapping and presentation set. Analysis result shows that teaching and learning based on cognitive developmental levels gives more understanding for most students’ proved by students’ interest and excellent score. The novelty is that the research used developmental psychology which specified on cognitive to be applied in Islamic Education subject (Fiqh).
Competence of Architects in the Context of Jakarta Socio-Cultural-Ecology Architecture
Authors: Wijaksono Sigit , . Sasmoko , Indrianti Yasinta , Anindyo Widhoyoko Samuel
Published: April 2019

One city is determined by the characteristics of the urban developing building. The characteristics of the building are determined by the architectural capacity that is influenced by the culture, social and the surrounding environment. In Indonesian cities especially Jakarta, competency standards are needed as a professional detection tool that keeps the legacy of a city of art and building. The problem to be found in this research is how the building of competence that marks a competent architecture for Jakarta. The research method used is exploratory research as one of the stages in Neuroresearch research model. The results of the study found that there are 13 competencies that are able to describe the urban legacy within the architect in the context of the Jakarta Socio Cultural Ecology Architecture.
The Impact of the Distance between School and Downtown on the Result of the National Exam on Geography 2017
Authors: Meyzilia Arvina , . Darsiharjo , Ruhimat Mamat
Published: April 2019

There are some factors that will determine the result of National Exam score. One of them is the distance between school and downtown. The schools that are located in the downtown should have higher score compared to the schools located far away from downtown. It is because of the circulation of information around the downtown schools is more rapid than those schools located in far away from downtown. There are some previous research on correlation between students’ accessibility to their schools with students achievement, however there no research on correlation between school distance from downtown and students achievement. This research aims to analyze the correlation between school distance to downtown and students’ National Exam achievement on geography subject in 2017. This research is a qualitative descriptive research. This research uses documentation and literature study. The result data of this research shows the school in downtown achieved highest National Exam score on geography, however, there is no positive correlation between the mileage to schools and students’ achievement. Furthermore, the distance beteween school and downtown does not show a positive correlation. Therefore it could be concluded that there is no correlation between distance and mileage from school to downtown with the National Exam result on geography subject in 2017 at SMA Negeri Kabupaten Bangka (Public Senior High School in Bangka Regency).
Malaysian Undergraduates Financial Literacy and Financial Education: a Study in Universiti Utara Malaysia
Authors: Murugiah Logasvathi , . . , . .
Published: April 2019

Financial literacy is becoming increasingly important not only for investors but also for individual in planning his or her day to day budget. Hence, recent development in financial education has highlighted the increasingly important to be financial healthy. Hence, the objectives of this study are (i) to investigate the level of UUM undergraduates’ in financial literacy and (ii) to assess UUM undergraduates’ preferable method in learning financial education. Questionnaires were distributed to 400 undergraduate in UUM, age ranging 20 to 28 years old in 2017. The finding of this study revealed that female have a better saving knowledge compare to male respondents. Furthermore, this study concluded that first year undergraduate’s saving knowledge is slightly better. Meanwhile, final year undergraduates are better in spending and budgeting knowledge. Besides, business programme undergraduate showcase a good financial literacy knowledge. This study also find that preference method in learning financial knowledge are website / internet / online followed by workshop / seminar / talks / conferences and finally social network / social media. Meanwhile, preferable personal financial topic that undergraduate would like to enroll and learn are budget planning or expenses management, followed by debt management and lastly about insurance.
Audit Committee Diversity toward Voluntary Disclosure Reporting with Existence of Regulatory Regime as Moderation Variable: a Critical Review
Authors: Shariff kabara Ali , Fariha Abdullah Dewi , Bint Othman Aniza
Published: April 2019

The audit committee is a fundamental and prerequisite tool for fulfilling board’s monitoring role of ensuring transparency, financial and managerial efficiency. Therefore, it has been applied to address perceived governance failure. This paper aims to critically review the previous literature on the relationship between audit committee diversity as a major corporate governance mechanism and corporate voluntary disclosure reporting (CVDR) with a change in the regulatory regime as moderation variable. This review specifically evaluates theoretical and empirical literature related to audit committee diversity such as independence, financial expertise, accounting expertise; and CVDR in order to highlight some important areas of gaps for future research in this field. It also, emphases the need for a more qualitative method for better understanding of the relationship. This paper proposes that examining the moderating influence of the change of the regulatory regime with regard to CVDR would provide more insight into the link between audit committee diversity and CVDR. The policy implication of the study is also discussed. Lastly, the paper stresses the importance of future studies linking audit committee diversity and CVDR, which are quite scanty the existing literature.
The Relationship between Industrial Environment and Financial Performance (Evidences Small and Medium Enterprises in East Java Region, Indonesia
Authors: Ismanu Sidik , Kusmintarti Anik , . .
Published: April 2019

This study examines the efect of industrial environment towards the financial performance of Small and Medium Enterprises (SMEs). The object of research is SMEs of handmade batik in east java region, Indonesia. Handmade batik as a fabric product with original Indonesian creations, pure making process using hand drawing on cloth. SMEs of handmade batik in east java region-Indonesia can not be removed with industrial environment. Industrial environment as a business factor outside the company that can cause opportunities or threats that affect the company's competitive advantage. Industrial environment as an independent variable with variable dimension consisting of power of new competitors, bargaining power of supplier, bargaining power of buyer and intensity of competition. Financial performance is a form of performance achieved by companies that are determined from financial information as a fundamental factor. Data collection method was done through questionnaire, consisting of 84 respondents. Hypothesis test is done by multiple regression processed. Research findings, industrial environment have a positive and significant influence on financial performance. Dynamics of the industrial environment as an external factor of the company, will make business activities have a better prospect.
The Pattern of Communication Legal Advisor with Defendant In Indonesian Courtroom
Authors: Widodo Aan , Rahmat Hidayat Dadang , Venus Anter , Suseno Sigid , . .
Published: April 2019

This article aims to illustrate the pattern of communication between legal Advisor and the defendant in court as one form of communication in the courtroom. This study addresses the research question: how is the communication pattern of legal advisor with the defendant in the courtroom at the Central Jakarta District Court. This research uses qualitative research approach, research method is ethnography of communication, with an interpretive paradigm. The results of this study indicate that communication between the legal advisor with the defendant in the courtroom begins at the time of the indictment hearing, the hearing, the prosecution and the verdict. The form of communication that emerged in the trial process through advocacy. Advocacy is a form of communication of legal Advisor with the defendant, with the primary objective of providing an understanding to the defendant about the legal information and the punishment that the defendant will receive.
Rice Husk Ash as an Admixture of M30 grade Concrete Exposed to Sulfate Environment
Authors: V.Rambabu P , V.RamaRao G
Published: April 2019

In the present critique, Rice Husk Ash (RHA) partly replaced with cement in the quotient of 0%, 5%, 10%, 15%, and 20% to fruitage M30 grade Concrete. Concrete cubes divulged to Magnesium Sulfate and Sodium sulfate concentrations of 1%, 3% and 5% for the perpetuation of 28, 60and 90 days.   The Experimental data demonstrate that RHA improved the counteraction to sulfate attack on concrete and can be used as an Admixture, 10% as most favorable replacement quotient of RHA in cement.
Saddle Node Bifurcation Point Analysis of Voltage Stability of IEEE 30-BUS Power System for Removal of Generation through Bacteria Foraging Optimization Algorithm
Authors: B. Venkata Srikanth , Devi Ai Lakshmi
Published: April 2019

This paper deals with the identification of instability nodes of IEEE 30 BUS power system to generation removal. Optimal sizing and locations of reactive power compensations are obtained. Firstly one of the generators is assumed to be removed from service and the saddle node bifurcation (SNB) point voltages are evaluated without reactive power compensation. Secondly two generators are assumed to be removed from service and the saddle node point voltage magnitudes are obtained without reactive power compensation. For both cases the study is conducted by placing optimal reactive power compensations at optimal locations using Bacterial Foraging Optimization Algorithm (BFOA).
Wrapped Lomax Distribution :a New CircularProbability Model
Authors: Subba Rao R , Ravindranath V , V.Dattatreya Rao A , Prasad G , Ravi Kishore P
Published: April 2019

Lomax Distribution (Pareto Type IV) is fitted for a life time random variable which can be studied for the data belongs to Actuarialscience, medical diagnosis and Queuing theory etc. In the time of day events observed in cycles like hourly, daily, weekly, monthlyor yearly are in circular distribution. By adopting the technique of wrapping an attempt is made to identify a new circular probabilitymodel originate as Wrapped Lomax Distribution. The concept of circular model is introduced and strategy of wrapping is given forLomaxDistribution. Wrapped Lomax Distribution PDF and CDF are derived, their graphs are also studied. The trigonometric momentsand characteristic function of Wrapped Lomax Distribution are obtained and their graphs are also depicted. The characteristics likemean, variance, skewness, kurtosis and circular standard deviation for various values of location and scale parameters are derived in this paper.
A Study on Fuzzy TΓ-Ideals in Ternary Γ-Semiring
Authors: Revathi K , Madhusudhana Rao D , Sundarayya P , Satish T
Published: April 2019

The concepts of fuzzy theory in TΓ-semiring in terms of fuzzy TΓ-ideals in TΓ-semirings are introduced and also we made a study on some properties of fuzzy TΓ-Ideals in TΓ-semiring.
Automated Mapping of Water Bodies from Resourcesat-2 Awifs Image Using Automated Algorithm, Nalgonda District, Telangana State, India.
Authors: M. Ganesh K , A.R.K.Raju P , S. Satya Vara Prasad A , Ratnagiri D
Published: April 2019

In the recent past lot of research is taken place on surface water features. The surface water includes lakes, ponds, rivers, streams and other exposed inland water bodies. The function of rainfall amounts, intensity of rainfall etc. over season / year are the variation in spatial extent of these features.  Remote sensing providing lot of data and extracting lot of information over the changes from time to time. Nowadays the role of satellite image process is widely used in extraction of water bodies. Different researchers are using various methods to delineate water bodies from different satellite imagery varying in characteristics like spatial, spectral, and temporal. In FCC water bodies appear as different hues depending on their physical characteristics such as depth of water (bottom reflection), turbidity, etc. Water appears dark due to which absorbs all infrared radiations which helps in easy contrast distinction between water and land in near-infrared band.  Our present area of interest includes an automatic approach to capture the water body from a Resourcesat-2 AWiFS (Advanced Wide-Field Sensor) imagery using a Automated Algorithm for extraction of surface water bodies model. The dynamics of surface water bodies in Study on geospatial analysis of the extraction of water feature sheets for the month of January month 2018 of the study area.  Geospatial database on water bodies information has been created from the Resourcesat-2 AWiFS image. By using bands of 1.55- 1.70 µm (SWIR), 0.77-0.86 µm (NIR), 0.62-0.68 µm (Red) and 0.52-0.59 µm (Green) for the estimation of the water spread area.  The Water spread area (WSA) calculated for each is 37231 ha [1] and [2].
Corrosion Investigation of Commercially Available Linepipe Steel in CO2 Environment
Authors: Haris Muhammad , Kakooei Saeid , Che Ismail Mokhtar
Published: April 2019

CO2 corrosion has been the most prevalent form of corrosion and is considered as a complex problem in oil and gas production industries. The CO2 in presence of water causes sweet corrosion that is responsible for failure of pipeline during transportation of Oil and Gas. This work studies the corrosion behaviour of carbon steel specimens in CO2 environment at different temperatures but at constant pressure. The effect of CO2 on Carbon Steel specimens (X65, A106) were studied in simulated solution of 3 wt.% NaCl. The specimens were immersed into the CO2 containing solution for 48 hours and corrosion behaviour was investigated by using electrochemical test like Linear Polarization Resistance and Tafel plot. The results indicate that the temperature has an important effect of corrosion rate of carbon Steel in CO2 environment. Corrosion rate of 1.5-2 mm/yr was reported for both steels at lower temperature while at higher temperature the difference can be observed due to difference in protective nature of steels. Similar Corrosion rate around 1.5 -2 mm/yr was observed at 25°C for both A106 and X65 while at 50°C and 75°C the corrosion rate varies significantly 1.5-3 mm/yr and 3.5-6 mm/yr.
Network Quality Measurements of LTE Drones
Authors: Woo Jwa Jeong , Hie Won Joong
Published: April 2019

Cellular-connected drones can provide beyond line-of sight control (BVLOS), low latency, real time communication, robust security, and wide range coverage. Cellular-connected drones have several key potential applications in enhanced LTE and 5G networks. The objective of the study is to evaluate field measurement data collected during drone flights in the KT Long-Term Evolution (LTE) networks in Seoul and Jeju, Korea. The multicopter drones are developed with LTE modem and LTE test smart phone for field measurements. The radio network quality between drones and LTE base transceiver stations (BTS) is evaluated by measuring downlink metrics such as the serving cell RSRP, RSRQ, SINR, modulation types of downlink, the downlink and uplink throughputs, and LTE PUSCH Tx Power on reference signal. In the existing LTE networks, field measurements show that there is no problem in C&C of BVLOS operations in the flight height up to 150m but the data rate requirements for video transmission does not meet at high flight altitudes.
Prevention of Voice Phishing through Analysis of Telephone Call Voice Characteristic
Authors: Woo Park Hyung , Bae Kim Jong , Jin Bae Myung
Published: April 2019

Using a phone call to morale of others seeking money as voice phishing. When receiving these fraudulent calls are easily embarrassed, and if they get embarrassed, become more easily be cheated. These voice phishing techniques are evolving to be more intelligent and more diverse. Accordingly, the amount of damage and the victim reality is increasing. The phone call, only the minimum data necessary to transfer the information contained is passed to the other party through the wired or wireless communication networks. In the voice of phone call, It is because the communication system mainly conveys the voice and does not convey the facial expression, environmental situation, and psychological state of the other person. Therefore, it is difficult to judge the authenticity in speech of voice phishing over the telephone network, and it is easy to fall into the deceitful deceit of evolving fraud. In this paper, we analyze the characteristics of voice phishing voices, examine their characteristics, and use them to reduce fraud damage. The voices recorded by victims of actual telephone fraud were analyzed and the characteristics were summarized.
A study on basic investigation and deterioration evaluation standard in water distribution network
Authors: Kong Myeongsik , Lee Hyundong , Kwak Pilljae
Published: April 2019

There must be a reliable evaluation to collect correct data on the factors that affect pipe performance and to analyze the acquired data to upgrade the old water distribution network effectively. This study developed a procedure for collecting the data (basic investigation) of a water distribution network and evaluating deterioration using the acquired data. The basic investigation of the water distribution network is divided into routine investigation and accident investigation. It is a process consisting of setting up investigation areas, collecting background information, and examining 23 data sets (9 indirect data sets, 4 endoscope data sets, and 10 shell data sets) needed to evaluate the facilities technically. We then calculated the score for each data item and the overall score for each evaluation step to evaluate structural problems, hydraulic problems, leakage through joints, and water quality problems to assess the deterioration of the investigated facility accurately.
Automatic Detection of Surface Defects in Industrial Materials Based on Image Processing
Authors: Srividhya R , Shanmugapriya K , Sindhu Priya K
Published: April 2019

In the field of industry, corrosion and defects are amongst the most frequent operations. Industrial Materials have periodic defects that are difficult to detect during production even by experienced human inspectors. Defects are difficult to detect during production even by experienced human inspectors. Usually, the colour transfer process contains an image segmentation phase and an image construction phase. Therefore, we introduce an image processing method for automatically detecting the defects in surfaces. We show how barely visible defect can be optically enhanced to improve annual assessment as well as how descriptor-based image processing and machine learning can be used to allow automated detection. Image enhancement is performed by applying manual calculation. We implement this simulation using MATLAB R2013a. Results show that the proposed allows training both tested classifiers with good classification rates around 98.9%.
Predicting the Stock Market by Using the Clustering Algorithm in Big Data
Authors: Sankaradass Veeramalai , Praveen T , Padmavathy S , Bharathi R
Published: April 2019

As one of the essential approach in record mining and pattern popularity, the Possibilistic C-Means (PCM) algorithm has been widely utilized in evaluation and understanding discovery. It is highly difficult for PCM to provide an awesome end result for clustering huge amount of data particularly for heterogeneous data due to the fact that it is designed for smally established dataset. To address this trouble, we suggest a High-Order PCM (HOPCM). It is a set of rules for massive statistics clustering. The main aim of our proposed system is to find the profit or loss for the clients share based on clustering approach for the specific tickers.
Maximum Accuracy in MANET-Node-Localization Using Multi-Stage Trackerwith Less Time-Complexity
Authors: Selvan.M Arul , SelvaKumar.S Dr
Published: April 2019

An ad hoc network (referred as MANET), is also called as mobile ad-hoc network and also wireless ad hoc network, is automatic self-configuring, infrastructure-less wireless network of mobile devices, and it  widely used in various areas. Wireless sensor network composed of wireless sensor nodes and these nodes can do processing, sensing, computation and wireless communication. Because of its more functionality and low cost of energy consumption the wireless sensors are used widely in various areas such as ranging from sensors for environment, road safety,  home, peer-to-peer messaging, vehicular ad hoc communications, health, disaster recovery operations, robots, weapons, defense, etc. The localization information is very important for the operation of MANET because of security, routing, and other needs. This articles mainly contracts with the network node station identification in wireless environment with maximum accuracy. There are many methods of localization exist for MANET, and this paper discusses, compares and explains the betterments through experimental localization methods. Localization process is a vital and essential part in lots of applications that signifies a supplementary procedure in a network function or sometime it can be a primary goal of the application. Localization, as an essential procedure is also desirable based on data mining and data fusion, efficient routing with the view of hierarchical data aggregation. The hierarchical aggregation method itself signifies beneficial function of all data networks as it decreases important energy consumption and saves bandwidth in ad hoc network. And also it makes sure of repeatability-of-tests through multiple test-environments which is a problematic task in many situations in wireless networks. Eventually the accuracy of the location identification is critical aspect of any algorithm and technique that will be the important aspect of this paper.
Biosorbents and Biosorption of Uranium Ions a Statistical Review
Authors: K Kadambanathan. , S Theepapriya. , Fathima Anis
Published: April 2019

This study addresses the availability of various biosorbents and significance of characterization techniques used for biosorption of uranium ions. The improvements in nuclear technology have leads to increasing nuclear waste containing uranium being released and exposed in the surroundings.The objective of this paper is to develop a better understanding the various techniques for the water system and environment were polluted with radionuclides (particularly uranium), considering the health effects of uranium, including varieties of biomasses and data of uranium uptake quantity at respective conditions, research issues concerning the biosorption process discussed. The accessibility of equilibrium models or adsorption isotherm is considering for fit the value for biosorption process. Moreover, it gives outlook of adherence and affinity of biomass towards the uranium ions particularly U(VI) was studied. This collective information in uranium adsorption biomasses at different pH and temperature used for U ions uptake. This paper shows the availability of organic living species and howfar it eliminates the toxic ions.
Hash based Approach for Mining Frequent Item Sets from Transactional Databases
Authors: Srinivas UMohan , Anuradha Ch , P. Sri Rama Chandra Murty Dr
Published: April 2019

Frequent Itemset Mining become so popular in extracting hidden patterns from transactional databases. Among the several approaches, Apriori algorithm is known to be a basic approach which follows candidate generate and test based strategy. Although it is efficient level-wise approach, it has two limitations, (i) several passes are required to check the support of candidate itemsets. (ii) Towards more candidate itemsets and minimum threshold variations. A novel approach is proposed to tackle the above limitations. The proposed approach is one pass Hash-based Frequent Itemset Mining to derive frequent patterns. HFIM has feature that maintains candidate itemsets dynamically which are independent on minimum threshold. This feature allows to limit the number of scans over the database to one. In this paper, HFIM is compared with the Apriori to show the performance on standard datasets. The result section shows that HFIM outperforms Apriori over large databases.
Design and Manufacturing of Fixture for Edge Prepration of Elbows
Authors: P Nagasankar , P Tamilselvi , T V B Babu , Salahudin S Jasim , S Aravindhan , J Deepak
Published: April 2019

This paper is a description of an alternative fixture for the edge preparation of elbows and pipes before welding. The welding will not penetrate the cross section of the pipe if the thickness of the pipes is more than eight millimeter, so edge preparation is done before welding. Fixtures are used to hold the pipes during the process of edge preparation. This paper deals with two major issues from the design of previous fixtures.Requirement of manual handling of the part.Precise rotations are not possible. The fixtures being used currently require more setting up time and they require manual handling to machine the other side. This paper describes a fixture which can reduce manual handling and be able to rotate the elbow either manually or using a motor.
Synthesis, Characterization of Iron Oxide (Α-Fe2o3) Nanoparticles and its Application in Photocatalytic Reduction of Cadmium (Ii)
Authors: H Gurlhosur Shrikrishna , Sreekanth B Dr , . .
Published: April 2019

The α-Fe2O3 Nanoparticles were successfully synthesized by Sol-Gel method and the powder was calcinated at 4000. SEM, XRD, FTIR, EDX studies were carried out for characterization. The XRD confirmed that nanoparticles were Hematite (α-Fe2O3 ) having  crystalline size of 11.55nm which confirms the Hematite(α-Fe2O3) on comparison with obtained spectra against Joint Committee on Powder Diffraction Standards Database(JCPDS) and SEM morphology indicated that  IronOxide Nanoparticles were of flower shape at higher magnifications . The FTIR showed the bonds between functional groups and Fe-O group, O-H bending and vibration bonds. The presence  of  FeO, Fe, C, in nanomaterial was confirmed by EDX . Synthesized iron oxide α-Fe2O3 (Hematite) crystalline size of 11.55nm was used in the study of photo catalytic reduction of Cadmium (II) .Different parameters like Metal concentration, Dosage of Nanoparticles, Contact time and pH were studied. pH maintained for the solutions of different concentrations were 4,5,6,7 and 10. Concentration of cadmium solution taken for the study were 2,4,6,8 and 10ppm. Keeping concentration and dosage constant, pH was varied. Then concentration was varied by keeping dosage and pH constant. Then dosage was varied by keeping concentration and pH constant. Dosage of iron oxide taken was 50 mg, 75mg, 100mg, 125 mg and 150mg. It was observed that photo catalytic reduction by Iron oxide nanoparticles (IONP)  was  more effective at metal concentration 4ppm, IONP dosage 100mg, pH 5, and contact time of 150 min with 97.02%  reduction of Cadmium (II).
Groundwater Quality Assessment in Ambattur Industrial Estate
Authors: Sivakumar D , Govindasami S , Asanammal Saral J , Arun D , Durai Arasu T
Published: April 2019

Groundwater is generally used for various purposes, particularly domestic and industrial purposes in all over the world. Fresh water from groundwater sources is high in the recent years and the groundwater is polluted high because of rapid population and industrial growth. It is very difficult to restore the contaminated groundwater by various pollutants.  Hence, it is important to analyse physico-chemical parameters of groundwater for its need for various sectors. Therefore, the present study was under taken to define the quality of groundwater with the help of WQI. The ground water samples were collected from 20 different places around Ambattur Industrial Estate in Chennai city. The groundwater quality assessment showed that the water quality of bore wells around Ambattur Industrial Estate is poor for drinking purpose as per WQI for BIS acceptable limit.  WQI observed from those selected 20 groundwater bore wells are ranging from 63.30 to 219.63.   The analysis reveals that the groundwater from the Ambattur Industrial Estate needs pre-treatment before it is being used for various purposes.
Reliable and Faster Data Communication in MANET and VANET Based on Localization and Clustering Techniques
Authors: Pattnaik Omkar , Kumar Pattanayak Binod , . .
Published: April 2019

The concept of VANET (Vehicular Ad hoc Network) is derived from the idea of MANET (Mobile Ad hoc Network), where each vehicle is considered as a mobile node. Localization technique based on the clustering methods is an important issue for both MANET and VANET. To find out the position of a node and also provide the link stability in the ad hoc network is a present research area from the researcher view. Now-a-days a large spectrum of work has already been done in clustering techniques in ad hoc network, especially in VANET. The clustering technique is very much useful for reliable and faster data communication in both the forms of networks. The objective of this paper is to provide an idea about the localization concept related to clustering method based on both GPS and GPS free situations in real world scenario.
Work-in-Progress Inventory Control Case Study in Lean Management
Authors: Wai Tan Hong , Rijal Jamaludin Khairur , S Hamzah H
Published: April 2019

Increasing the rate of converting raw material into finished product and delivering it on time is a main driver for each manufacturing industry to achieve continuous improvement in its business operation.  This case study demonstrates the improvement of the work-in-progress inventory in a non-lean company seeking to adopt lean management.  Introducing the value stream mapping (VSM) lean technique to identify the waste in the current production operation. A selection of lean tools such as Kanban card, supermarket racking and one-piece flow are applied to control and monitor the WIP inventory after justification of the factors (process cycle time, production facilities layout and facilities capacity allocation) that influence the change from the current production operation situation.The construction of the current VSM had identified the major waste in WIP inventory handling in the final fabrication process.  The fluctuation of WIP inventory has been resolved by the implementation of supermarket racking; therefore, an improvement base for WIP inventory control has been established.  Throughout this study, the lean management concept had been fostered into the production floor team and will continue developing to the organization.
Information Systems and Tax Online in Indonesia, Effect Decrease in Rate, Audit and Organization’s Culture Against Tax Revenue on Foreign Investment Office
Authors: . Hartono , Halim Paisal , Badruddin Syamsiah , Hendarso Panji , . Yulianto , Ikhsan Setiawan Muhammad , Saleh A. A
Published: April 2019

Since October 2004 Tax Office PMA begin implementing Modern System Administration using Information Systems Directorate General of Taxation (DGT). For ease of service and control of the taxpayer and increase productivity apparat, this office is fully supported by computer-based administration system. Aspects of good governance is also applied to improve the quality and certainty and legal equality to the taxpayer. Modern system of tax administration to embrace the latest technological advances with the various modules of office automation are expected to improve control mechanisms more effectively supported by the adoption of a code of ethics officials at the (DGT), which regulates employee behavior in performing the task. So that the benefits to be gained from the implementation of modernization of tax administration system for taxpayers is simplicity, where the workflow is simpler and certainty that there is certainty in implementing tax regulations. Effect Decrease in tax rates, Tax Audit and Organization's Culture against Tax Revenue on the Tax Office of Foreign Investment Two. The purpose of this study was to determine the influence of Decrease in tax rates, Tax Audit and Organization's Culture against Tax Revenue. This research is quantitative method through the survey, with respondents 146 respondents where the participation rate of 99%. Decrease in Tax Rates that will have a positive and significant impact on Tax Revenue. Tax Audit has a positive and significant impact on Tax Revenue. The Organization's Culture has a positive and significant impact on Tax Revenue. Tariff Reduction, Tax Audit and Organizations Culture, has a positive and significant impact on Tax Revenue.
Gaussian Pell Numbers
Authors: Balamurugan P. , Gnanam A.
Published: April 2019

Gaussian numbers means representation as Complex numbers. In this work, Gaussian Pell numbers are defined from recurrence relation of Pell numbers. Here the recurrence relation on Gaussian Pell number is represented in two dimensional approach. This provides an extension of Pell numbers into the complex plane.