bluuebunny/crossref_metadata_2025 huggingface dataset:
User profiling for web personalization using multi agent and DBSCAN based approach
Authors: Sahoo Sipra , Kesari Ratha Bikram
Published: April 2019

The user experience is enhanced by the Web Personalization System (WPS), which depends on the User's Interests (UI) and references are stored in the User Profile (UP). The profiles should be able to adapt and reproduce the change of user’s behavior for such system. Existing web page Recommendation Systems (RS) are still limited by several problems, some of which are the problem of recommending web pages to a new user whose browsing history is not available (Cold Start), sparse data structures (Sparsity), and the problem of over-specialization. In this paper, the UI has been tracked and Dynamic User Profiles have been maintained by introducing a method called Density-Based Spa-tial Clustering of Applications with Noise-User Profiling (DBSCAN-UP). The mapping web pages, construct the ontological concepts, which represent the UI, and the interests of users are learned by the reference ontology, which are used to map the visited web pages. The process of storage, management and adaptation of UI is facilitated by multi-agent system. The different user browsing behaviors learning and adapting capability is built in the proposed system and the efficiency of the DBSCAN-UP model is evaluated by the series of experi-ments. The accuracy of the DBSCAN-UP was achieved up to 5% compared to the existing methods.
In Tune with Times: Recent Developments in Theoretical, Experimental and Numerical techniques of Aircraft Engines
Authors: A. Armaan , G. Srinivas
Published: April 2019

Today the aircraft engine designing and development work is increasing drastically. Especially aircraft engines play a vital role in order to decide the aircrafts speed and its performance. Broadly turbojet, turboprop, turbo shaft and turbofan engines comes under the category of air breathing engines. Every engine has its own purpose and application. But modern aircrafts require much more advancements. Designing a new aircraft engine has been a really challenging task to the researchers. But giving a complete holistic view of aircraft engines and research gap would definitely help a lot to the new designers. Once identified the drawbacks of engine performance can be corrected in the future. For any new design of aircraft engine researchers are suggested to take Theoretical, Experimental and Numerical approaches. Therefore present paper makes an effort to review complete recent Theoretical, Experimental and Numerical approaches which are followed till date. Under all the three approaches all the air breathing engines have been clearly explained and solicited. The effort is to identify the gaps between different approaches which are hampering the process of engine development. The paper also gives the research gaps that need to be incorporated for effective performance enhancement of the aircraft engines for aeromechanical features.
Optimization noise figure of fiber Raman amplifier based on bat algorithm in optical communication network
Authors: Ali Abed Al-Asadi Hamid , Ali Al-Asadi Majida , Ali Noori Nada
Published: April 2019

Designing Raman amplifier with high On-Off again and low noise figure is required in in optical communication networks, due to wide and tunable amplification and low nonlinearity. This paper proposes a new configuration design to the single mode fiber Raman amplifier using a multi-objective bat algorithm. The main aim of the proposed method is to preserve the values of noise figure and ripple of the amplifier as low as possible while keeping the values of laser wavelength and the amplifier powers are high. The simulation results show that increasing the number of iterations is required, which would result in a flat gain spectrum with a considerable enhancement in the noise figure and minimal gain ripple that reaches to less than 0.18 DB.
Application of The MODAPTS Method with Innovative Solutions in The Cement Packing Process
Authors: Ita Erliana Cut , Abdullah Dahlan
Published: April 2019

The Modular Arrangement of Predetermined Time Standard (MODAPTS) is a medote for analyzing performance in performing work by monitoring the operator's movement in the workplace. MODAPTS will record the movement of each carrier in the workplace. This research will reveal a number of common features of MODAPTS and its applications in the packing process at the cement plant in particular to reduce the waste of working time that causes the production target is not achieved. This Cement Packing process becomes the chosen workplace because it requires manual work where there is continual movement of the body. The suggested improvement is in the form of determining movement activities, terminal activities, and Auxiliary Activities for each operator based on the standard time and the normal time available. Based on the results of this study obtained innovative solution that can be used as a safe, easy, and efficient working procedure resulting in increased work productivity.
Application model of k-means clustering: insights into promotion strategy of vocational high school
Authors: Abadi Satria , Shukri Mat The Kamarul , Mohd. Nasir Badlihisham , Huda Miftachul , L. Ivanova Natalie , Indra Sari Thia , Maseleno Andino , Satria Fiqih , Muslihudin Muhamad
Published: April 2019

Admission process is required in promoting the strategy to achieve the target. Through determining the strategic promotion, minimizing the cost in the marketing process could be reached with determining the appropriate promotion strategy. Data mining techniques in this initiative were applied to achieve in determining the promotional strategy. Using Clustering K-Means algorithm, it is one method of non-hierarchical clustering data in classifying student data into multiple clusters based on similarity of the data, so that student data that have the same characteristics are grouped in one cluster and that have different characteristics grouped in another cluster. Implementation using Weka Software is used to help find accurate values where the attributes include home address, school of origin, transportation, and reasons for choosing a school. The cluster of students was classified into five clusters in the following: the first cluster 22 students, the second cluster 10 students, the third cluster 10 students, the fourth cluster a total of 33 students, and the fifth cluster 25 students. The pattern of this result is supposed to contribute to enhance the significant data mining to support the strategic promotion in gaining new prospective students.
Study on Behaviour of Cellular Concrete Slab
Authors: Nachiar S Sindhu , S Anandh , Veerarajan Jeyem
Published: April 2019

Generally for any construction, normal conventional concrete is used to obtain required strength as per design. In the construction industry, now a day’s many construction techniques are in practice to minimise the self weight of concrete, thereby reducing the size of structural elements. One of the most widely adopting techniques is use of light weight concrete. But use of these light weight concrete do not fulfil the strength requirement as per the design of the structure. Hence it is used only as non-load bearing structural elements in the field. In view of this, in this study the attempt has been made to introduce the air voids in conventional concrete without compromising the strength. In this work the air voids are introduced in the concrete slabs and it is tested in the laboratory to know the performance. For this purpose, the slab of the size of 600mm x 600mm x 100mm is prepared with the voids of diameters 30mm, 35mm and 40mm. The voids are introduced in the concrete slab in four different configurations (line, X, I and matrix) to prepare the cellular elements. The normal and cellular slabs are tested under single point loading and the effect of various configurations is studied at the age of 28 days. From the test results, it was found that the slab with void volume of 1.59% shows the lowest stiffness and the slab with void volume of 2.28% shows the highest stiffness.
A literature review on NoSQL database for big data processing
Authors: Razu Ahmed Md. , Arifa Khatun Mst. , Asraf Ali Md. , Sundaraj Kenneth
Published: April 2019

Objective: Aim of the present study was to literature review on the NoSQL Database for Big Data processing including the structural issues and the real-time data mining techniques to extract the estimated valuable information.Methods: We searched the Springer Link and IEEE Xplore online databases for articles published in English language during the last seven years (between January 2011 and December 2017). We specifically searched for two keywords (“NoSQL” and “Big Data”) to find the articles. The inclusion criteria were articles on the use of performance comparison on valuable information processing in the field of Big Data through NoSQL databases.Results: In the 18 selected articles, this review identified 8 articles which provided various suitable recommendations on NoSQL databases for specific area focus on the value chain of Big Data, 5 articles described the performance comparison of different NoSQL databases, 2 articles presented the background of basics characteristics data model for NoSQL, 1 article denoted the storage in respect of cloud computing and 2 articles focused the transactions of NoSQL.Conclusion: In this literature, we presented the NoSQL databases for Big Data processing including its transactional and structural issues. Additionally, we highlight research directions and challenges in relation to Big Data processing. Therefore, we believe that the information contained in this review will incredible support and guide the progress of the Big Data processing.
The role of user defined function in privacy preserving data mining
Authors: Manikandan G , Vamsi Krishna A , Lakshmana Sarvagna P
Published: April 2019

Data mining is used to retrieve the plugged in information from the huge data warehouse. Data mining techniques use wide variety of tools for extracting the required knowledge from the hefty data warehouse. Many organizations trust on the extracted knowledge for strategical decision making. In the downside these techniques also reveals some private information as part of the conversion process. Experts rely on various privacy preserving approaches to prevent the data disclosure. This paper primarily focuses on the use of a User-defined Function to maintain data privacy. The output of the proposed approach is compared with the 3-Dimensional geometric transformations such as Translation, Scaling and Shearing. From the experimental outcome it is evident that the proposed approach results in a minimal misclassification error when compared with the other data transformations.
Travel Location Sequence Recommendation From User’s Point of Interest
Authors: Laddha Shree , Aote Shailendra
Published: April 2019

The major objective of any Travel Recommendation System is to recommend its users to visit the most suitable place in according to the selected location. We present this system of travel recommendation from the experiences of the previously visited users of that location. Apart from the existing systems, our approach not only limited to users traveling interest but also recommends a travel sequence. Our sys-tem also suggest best visiting time, most suitable season, preference of visiting the nearby places and traveling route to reach to your desired location. Here the user can create his friend list and can share his experience of visit to his friends. This user given experience is taken as a feedback by the system to update his recommendations.
Divided square difference cordial labeling of some special graphs
Authors: Leo Alfred , Prasad Vikrama
Published: April 2019

In this article, we have introduced the concepts of divided square difference cordial labeling behavior of some special graphs called Jewel graph, Wheel graph, Helm graph, Flower graph, and Bistar.
An Effect Sensitivity Harmonics of Rotor Induction Motors Based On Fuzzy Logic
Authors: Aryza Solly , Irwanto Muhammad , Khairun Nizam Wan , Lubis Zulkarnain , Putri Maharani , Ramadhan Andri , Nova Hulu Fitria , Wibowo Pristisal , Novalianda Sari , Rahim Robbi
Published: April 2019

The stator is apart complicated because it is one of the main parts of mechanical components inside an induction motor and is often a heat problem in the electrical pressure and also due to competitive environmental conditions, etc. So this study discusses how the technique used in identifying the initial level of small error rate in the induction motor. Several studies also discuss motor vibration detection analysis. So this research is done about the harmonization of rotation causing this vibration amplitude which causes problems of mechanical stress and motor. So that the results of this research can be a result of learning about the effect of error amplitude, causing problems in the rotor and fuzzy logic results performed also resulted in increased amplitude of vibration in rotor harmonics
Determination the Index of Radioactive Risk In The Batang Kuantan River
Authors: Genesa Hatika Rindi , Dewata Indang , . Alizar , Subekti Purwo , Anwar Saiful
Published: April 2019

NORM is a material containing radioactive elements that exist naturally. All minerals and raw materials contain radionuclides from nature, most important for radiation protection purposes are the U-238, Th-232 and K-40 decay series. This element naturally grows and is considered a major contributor to the annual individual background radiation dose. Therefore, each individual can be exposed to NORM through various activities they do, one of which is gold mining activities. Gold mining in addition to causing exposure to NORM, is believed also can cause significant environmental damage. This study aims to determine the index of radioactive risks that resulted from gold mining activities in the batang kuantan river. The sample used for this research is soil from batang kuantan river which then analyzed using gamma ray spectrometry. The results show that the index of radioactive risk value indicated by all soil samples in the batang kuantan river is still below the predetermined maximum limit value.
Factors Affecting Writing Skill Using Computer Assisted Test (CAT) in Junior High School Students
Authors: Suhita Raheni , J. Waluyo Herman , Setiawan Budhi
Published: April 2019

This study aimed to determine the factors affecting writing skill quality and the level of their contribution to help language teachers to formulate more effective strategies using CAT to enhance writing skill. The correlating factors discussed in this research were students’ reading comprehension skill, vocabulary mastery, and attitude toward language.  The study applied quantitative approach with simple and multiple correlation and regression techniques. The samples of the study were 100 students taken using stratified random sampling technique from a population of 2000 junior high school students in Surakarta City. The data were collected using multiple choice test for students’ reading comprehension skills and vocabulary mastery, writing assignments, and questionnaires for their attitudes toward the Indonesian language. The findings showed that there are positive correlations between the independent variables, either individually or simultaneously, with writing skill. The individual contribution levels is 44.75% of reading comprehension skill, 27.70% of vocabulary mastery, and 28.5% of attitude toward language. As for the simultaneous correlation of the three determining factors make up to 45.16%. contribution level to writing skill quality. Thus it can be concluded that reading comprehension has the most contribution to writing skill compared to vocabulary mastery and attitude toward language. The identified levels of contribution can be taken into consideration in formulating teaching strategies and materials to enhance writing skill quality.
The Controller Design Using Local Stability Analysis on a Nonlinear Inverted Pendulum
Authors: Pangaribuan Timbang , MN Nasruddin , Marlianto Eddy , Sigiro Mula
Published: April 2019

This paper is designed for the purpose of analytic design and numerical simulation of a controller for nonlinear mobile inverted pendulum. It needs to obtain a method to overcome the difficulties in the design problem of controller for nonlinear plant. The method was using local stability analysis of two fixed points in two-dimensional ordinary nonlinear differential equation. The result provides a stable response solution using a special pole placement design, and transient stability is simulated using simulink. The response behavior can be selected according to the desired poles. The results obtained at this work are different from the optimal control problem. Indeed, our results have been summarized in the design method, target response and simulation process.
Analyzing hydroponic rack design for apartment house
Authors: Hafiz Talib Mohd , Aidil Azlin Abd Rahman Khairul , Shahrizal Dollah Mohd
Published: April 2019

This study analyze users who are living in condominium and apartment in an urban area to practice the farming activity. Almost 75% type of house in Malaysia is apartment. A major problem living in condominium and apartment is the limited space to do farming activity. To-day's users do not know where their food comes from and uncontrolled using pesticide among the farmers. Over 80% of food supplies were imported and local crops products were exported. About 65% from a person salary is for food consumption. The existing design of hydroponic system is not suitable for the current lifestyle needs. This help users to farm within a limited space in the urban area and create awareness the importance of planting their own food. Hydroponic system can reduce 40% of living cost for food. The compact rack system design has been proposed based on the functionality and practicality for crops planting in a small area using deep water culture system. The compact rack design using a simple system that can easy to assemble and disassemble that suit home interior. The result shows the hydroponic rack with modular system is suitable for the condominium and apartment area which are small and compact.
Comprehensive study on ensemble classification for medical applications
Authors: Rosly Rosaida , Makhtar Mokhairi , Khalid Awang Mohd , Isa Awang Mohd , Nordin Abdul Rahman Mohd , Mahdin Hairulnizam
Published: April 2019

The aims of this paper were to provide a comprehensive review of classification techniques and their alternative approaches in data mining. Classification is a data mining technique that assigns categories to a collection of data to aide in more accurate predictions and analyses. It is one of the several methods intended to make the analysis of very large datasets effective. The goal of classification is to accurately predict the target class for each case in the data. One of the classification approaches is the ensemble method. In recent years, the usage of ensemble method in medical application has been increasing. Not only in medical areas, it can also help researchers to solve modem problems in many fields like machine learning, data mining and other related areas.
A Study on Data Security In Fog Computing
Authors: S.Apirajitha P
Published: April 2019

During the years, Cloud Computing is a popular paradigm which provide access to configurable resources on devices at any time,with on demand. Cloud Computing provides many benefits to enterprises by reducing the cost and allowing them to concentrate on their core business. Apart from this , the Development of Internet of Things came into existence, where the cloud divulge a long distance between users and its environment. Cloud Computing is also referred as heavy computing and dense form of computing power. In Spite of this  a new computing has been proposed called Fog Computing also known as Fogging, which overcomes the problem of cloud. Fog computing which majority supports the concepts of Internet of Things(IoT), where many  IoT devices are used by users on daily basis which are connected to each other. Fog Computing is also an extended version of cloud computing.
Synthesis and Characterization of Super Paramagnetic Magnetite Nanoparticles for Drug Delivery Application
Authors: BALAJ D , SARALA RUBI C , G. RENGANATHAN N
Published: April 2019

Attractive nanoparticles have been broadly considered on account of their potential applications as complexity operators in attractive reverberation imaging (MRI) of tumors, cell and DNA partition, attractively guided medication conveyance, tumor hyperthermia. Among the attractive oxides, magnetite nanoparticles are most appropriate because of their low danger and great attractive properties which may be used in drug delivery. Magnetite nanoparticles were synthesized using FeCl3 and FeSO4 as precursors and characterized for size and shape using non-contact AFM.  The formation of magnetite was confirmed by XRD pattern. The elemental composition of the obtained phase was determined using EDAX. In this work, we are aiming to develop drug loaded biopolymer Magnetite nanoparticles for biomedical application. Our main objective is to synthesize and characterize Magnetite (Fe3O4) nanoparticles.
Voltage Oriented Control(VOC) Of The PWM Rectifier Using Active Filtering Function
Authors: Md.Mazhar-Ul-Haq S , S.S.Tulasi Ram Dr , JBV.Subramanyam Dr
Published: April 2019

Pulse width modulation rectifier has gathered its demand during the recent years for modification needs of the ac-dc conversion systems need for industries, customer and power grid sectors. This bidirectional converter can act as ac to dc boost rectifier with near unity power factor at the grid side along with the regulated and ripple free output voltage at the dc side. This paper deals with the evaluation of control strategy called voltage oriented control with active filtering function, Total harmonic distortion (THD),dynamic performance and parameter sensitivity is studied theoretical concept is provided and results of computer simulations are given by using mat lab.
CFD analysis for counter flow in concentric tube heat exchangers
Authors: Mohan Banoth , Ashok Kumar V
Published: April 2019

A device may be a device worked for the sensible heat exchange beginning with one liquid then onto the attendant, paying very little reference to whether or not the liquids square measure isolates by a powerful divider in order that they ne'er mix, or the liquids square measure particularly in touch. reliably get some data concerning in device progression is creating to form productive, traditionalist and stinting heat exchangers, where for the duration of the planet. Strengthening the function for this alteration wants associate degree association. In most up-to-date 5 years coaxial tube heat exchangers use unnatural convection to cut down the temperature of a operating liquid whereas raising the temperature of the cooling medium. The motivation driving this paper is to utilize ANSYS FLUENT12.1 programming and hand counts to interrupt down the temperature drops as a neighborhood of each straight speed and delta temperature and the way each modification with the opposite. every gleam money dealer show was worked in steps and examined in transit till the purpose that the instant that each parallel stream and counter stream heat money dealer models were created. The outcomes were thought of between every model and among parallel and counter stream with fouled funneling. Turbulent stream was conjointly impecunious down amidst the distinction within the shine exchangers to choose its impact on heat exchange. whereas clearly the fouled heat money dealer had a lower execution and during this manner cooled the operating liquid less, the execution of the counter heat money dealer out of the blue of the parallel heat money dealer.
A Comprehensive Review on Energy Management Strategies in Hybrid Renewable Energy System
Authors: Laxmi Ch , M.Narendra Kumar Dr , Sushant Kumar Mandal Dr
Published: April 2019

The diffusion of renewable sources of energy has been increased because they reduce the environmental influence and meet the increase in demand of energy. The key feature of the renewable source of energy is their changeability and irregularity. These draw backs are overcome by combining the non-conventional sources through storage and back up. However the incorporation of renewable sources of energy makes the system more complex in respect of energy sharing, control and analysis. The main objectives of energy management configuration are to ensure the maximum exploitation of renewable sources, continues power supply to the load, lessen the rate of energy production and increase the steadiness of the system. To accomplish these purposes efficient and fast control techniques are required which are proficient of handling information perceptively and captivating acute decisions vigorously inside the operative limitations. This paper presents an explicit review of energy management approaches currently existing and those now in research for the smooth process of hybrid system with renewable sources.
Slot Pole Study of Field Excitation Flux Switching Machines Using Segmental Rotor and Non-Overlap Windings
Authors: F. Omar M , Sulaiman E , A. Soomro H , I. Jusoh L , Amin F
Published: April 2019

Field excitation flux switching machines (FEFSMs) in which their torque performance generated by interaction between armature and field excitation (FE) coils have been widely designed and developed for various applications. In this regard, FEFSM with salient rotor is considered the most suitable candidate for high speed applications because of their advantages of flux controllability, and robust due to single piece of rotor structure. However, the existing FEFSM with overlapped armature and FEC windings lead to increment of copper loss, motor size and material cost. In addition, the declination of torque and power densities due to high rotor weight needs to be improved. In this paper, performance comparisons of four FEFSM topologies particularly emphasis on non-overlap armature coil and FEC windings placed on the stator with segmental rotor are investigated. The performances, including flux linkage, back-emf, flux strengthening, flux line, flux distribution, cogging torque, torque and power of the proposed motor are analysed and compared using 2D finite element analysis (FEA) thru JMAG Designer version 15. As a result, segmental rotor has produced shorter flux paths, while non-overlapping windings has reduced the copper consumption. Finally, the best combination of stator slot-pole configurations is 12S-6P which provide high flux linkage, high torque and power of 0.0412 Wb, 0.77 Nm and 0.26 kW, respectively.
Securing Underwater Wireless Communication Networks
Authors: Naresh Kumar D , . .
Published: April 2019

Underwater remote correspondence systems (UWCNs) are especially defenseless against vindictive assaults because of the high piece blunder rates, huge and variable proliferation deferrals, and low data transmission of acoustic channels. The special attributes of the Underwater acoustic correspondence channel and the contrasts between Underwater sensor systems and their ground-based partners require the improvement of productive and solid security instruments. In this class, an entire review of security for UWCNs is exhibited, and the exploration challenge for secure correspondence in this condition is sketched out.UWCNs incorporate sensors and self-ruling Underwater vehicles (AUVs) that collaborate to perform particular applications, for example, Underwater observing. Coordination and data sharing amongst sensors and AUVs make the arrangement of security testing.
A Framework for Enhanced Tropos Goal-Driven Risk Assessment in Requirements Engineering
Authors: Bhkukya ShankarNayak , Suresh Pabboju Dr
Published: April 2019

Every process model used by software industry has different phases including requirement engineering. This is the crucial phase as it is preceded by other phases and provides valuable inputs to the design phase. Risk assessment made in this phase can help avoid wastage of time, effort, cost and budget overruns and even missed delivery deadlines. Traditionally risks are analyzed in terms of technical aspects like failures in the working system, unavailability of certain services, and fault intolerances to mention few. The identified risks are used to have countermeasures. However, it causes the life cycle of the system to be repeated right from the requirements engineering. On the contrary, risk analysis in the requirements engineering phase can prove fact that a stitch in time saves nine. Therefore early detection of risks in the system can help improve efficiency of software development process. Goal-oriented risk assessment has thus gained popularity as it is done in the requirements analysis phase. Stakeholder interests are considered to analyze risks and provide countermeasures to leverage quality of the system being developed. In this paper, a formal framework pertaining to Tropos goal modelling is enhanced with quantitative reasoning technique coupled with qualitative ones. Towards this end we used a conceptual framework with three layer such as asset layer, event layer and treatment layer. We used a case study project named Loan Origination Process (LOP) to evaluate the proposed framework. Our framework supports probability of satisfaction (SAT) and denial (DEN) values in addition to supporting qualitative values. The Goal-Reasoning tool is extended to have the proposed quantitative solution for risk analysis in requirements engineering. The tool performs risk analysis and produces different alternative solutions with weights that enable software engineers or domain experts to choose best solution in terms of cost and risk. The results revealed the performance improvement and utility when compared with an existing goal-driven risk assessment approach.
Classification of Cervical Cancer from MRI Images using Multiclass SVM Classifier
Authors: Janney.J Bethanney , G Umashankar , Divakaran Sindu , Mary Jo Shelcy , Basilica.S Nancy
Published: April 2019

Cervical Cancer is the abnormal growth of tissues in the lower, narrow part of the uterus (womb) called the Cervix which connects the main body of the uterus, to the vagina or birth canal. Cervical cancer is one of the most common types of cancer that can be seen in women worldwide. Early detection and proper diagnosis can prevent the severity level and reduce the death rates .In this paper, we have proposed an automated diagnosis system of cervical cancer using texture features and Multiclass SVM (Support Vector Machine) Classifier in MRI images. Initially the MRI images are pre-processed to remove undesirable noises and other effects. After pre-processing, the image is segmented by Region growing method to obtain the region of interest. Texture features are extracted from the segmented region. Almost 22 features are extracted at the region of a segmented area and then passed on to Multiclass SVM Classifier to detect if the given image is cancerous or not. The results of the proposed techniques provide effective results for classifying cancerous and the non-cancerous image.
Automatic anesthesia regularization system (AARS) with patient monitoring modules
Authors: Krishnakumar S , Bethanney Janney J , Antony Josephine Snowfy W , Joshin Sharon S , Vinodh Kumar S
Published: April 2019

The administration of high/low dose of anesthesia during surgery may cause lethal effect to the patient. To avoid such situation, the anesthetist administers few milliliters of anesthesia at regular intervals to the patient. To overcome such tedi-ous problems, this project aims to design an effective microcontroller based automatically operated anesthesia machine. In the proposed Automatic Anesthesia Regularization System, anesthesia level is controlled by multi-task feedback and microcontroller system, based on patient’s condition. The Automatic Anesthesia Controller designed using microcontroller aids to control anesthesia levels during the course of surgery. Mechanical syringe infusion pump is provided to deliver an-esthesia to the patient. The anesthetist can set the keypad to administer the dose of anesthesia in terms of milliliters per hour. The keypad transmits the analog signal to the microcontroller to control the required dose of anesthesia to be fed into DC motor to operate injection pump. The anesthesia was administered based on patient’s body condition and move-ment of syringe in the forward or backward direction based on the rotation of DC motor. This module will play a major role in the field of medicine and useful to the physicians during major surgery to provide the desire amount of anesthesia.
Intelligent network Services Based ECG Signal Monitoring
Authors: Sumathi M. , Sushita K. , Shanmugasundaram N. , N.Ganesh E.
Published: April 2019

The technology and the nature of the Telecom environment are changing rapidly. Network Operators and service Subscribers have to differentiate themselves from the competitors to keep their market shares and to attack new market segments. One way of differentiating and of increasing revenues is to host IN (Intelligent Network) services that target market segments that usually were not in the operators’ focus. In the current paper, such a service is presented, service that is related to the medical tele-monitoring. The paper is presenting a part of the technical aspects and market perspectives specific to such a service.
Active Database System Approach and Rule Based in the Development of Academic Information System
Authors: Miftakul Amin M , Maseleno Andino , K Shankar , Perumal Eswaran , M Vidhyavathi R , SK Lakshmanaprabu
Published: April 2019

Active database system is a database system which is  capable of generating a certain action automatically if it detects an event that meets certain conditions. The existence of Event Condition Action (ECA) rules and functional components such as triggers, stored procedures, and stored functions that are owned by active database system make the database system has the ability to automatically monitor input and output data. Separation of ECA rules components in the database with the application program will also facilitate the development of information systems. This research applies active database system in academic information system, so that academic business rules can be planted in database software and be able to produce the right solution automatically. The addition of active database system components to the database software makes procedures such as subject distribution, study plans, academic leave, values, thesis defense and other processes can be monitored by the system automatically. This can be done because between applications and databases use the model driven approach parameters to communicate with each other. The results of this research prove that a database is not only has  function as a container of data, but can control the information system actively, this is caused by the logic of programs that are generally planted in the application layer that can be moved and planted in the database software.
Analyzing the predictive capacity of various machine learning algorithms
Authors: Mathew Biju Soly
Published: April 2019

The purpose of this study is to deploy and evaluate the performance of the new age machine learning algorithms and their applicability in business environment. Three unique set of datasheets were used to evaluate the true performance of top 4 machine learning algorithms – i.e. Generalized Linear Models (GLM), Support Vector Machine (SVM), K-nearest neighbor (KNN) and Random Forests. The findings of this study revealed that although these algorithms take different way of solving classification and regression problems, they develop quite robust models by understanding and learning the hidden patterns in the datasets. The findings of this study can be used by other companies and individuals while analyzing and solving their respective business problems. Although a number of studies exist where new-age machine learning algorithms are tested and evaluated, there are none where the performance of these algorithms was tested on different size and type of datasets.
Combination of levenshtein distance and rabin-karp to improve the accuracy of document equivalence level
Authors: Putera Utama Siahaan Andysah , Aryza Solly , Hariyanto Eko , . Rusiadi , Hasudungan Lubis Andre , Ikhwan Ali , Len Eh Kan Phak
Published: April 2019

Rabin Karp algorithm is a search algorithm that searches for a substring pattern in a text using hashing. It is beneficial for matching words with many patterns. One of the practical applications of Rabin Karp's algorithm is in the detection of plagiarism. Michael O. Rabin and Richard M. Karp invented the algorithm. This algorithm performs string search by using a hash function. A hash function is the values that are compared between two documents to determine the level of similarity of the document. Rabin-Karp algorithm is not very good for single pattern text search. This algorithm is perfect for multiple pattern search. The Levenshtein algorithm can be used to replace the hash calculation on the Rabin-Karp algorithm. The hash calculation on Rabin-Karp only counts the number of hashes that have the same value in both documents. Using the Levenshtein algorithm, the calculation of the hash distance in both documents will result in better accuracy.
Sentiment analysis: a challenge
Authors: Gupta Ekta , Kumar Ashok , Kumar Manish
Published: April 2019

Sentiment analysis or judgment/thoughts mining is one of the major jobs of NLP (Natural Language Processing). Sentiment analysis has acquired much awareness in recent years. In this paper, our focus is to approach the problem of sentiment polarity assortment, which is one of the elementary problems of sentiment analysis. A general process for sentiment polarity assortment is considered with complete procedure explanation. Data used in this research are online buying product reviews collected from the shopping platform Amazon.com. Experiments for both sentence-level assortment and review-level assortment are executed with guarantee outcomes. Sentiment analysis will help to enhance the business with its performance of giving accurate result .In the end; we also give awareness into our future work on sentiment analysis. From last decade there is no such work has done on sentiment analysis to improve the product quality on the basis of what the customer needs and sometimes it is introduce as opinion mining while the importance in this case is on extraction.
Grounded Impedance Simulator Topologies Employing Minimum Passive Elements
Authors: Faseehuddin Mohammad , Sampe Jahariah , Hamid Md Ali Sawal
Published: April 2019

In this research three new grounded inductance simulators (GIS) are proposed. In addition, frequency dependent negative resistor (FDNR) and grounded capacitor (GC) simulators are also developed. The voltage differencing current conveyor (VDCC) is utilized in the design. All the developed simulator circuits need a single active block and only two grounded passive components. All the designed simulator circuits are perfectly tunable and did not suffer from passive component matching constraints. To demonstrate the performance of the inductor, FDNR and GC circuits they are employed in designing  current mode parallel RLC multifunction filter, low pass third order Butterworth filter and RLC resonance circuits. The VDCC is designed in 0.18μm CMOS technology parameters from TSMC and simulated in P-Spice software to prove the theoretical predictions.
Dynamical behaviour of fractional order tumor-immune model with targeted chemotherapy treatment
Authors: Kumar Gupta Praveen , Dhar Biplab
Published: April 2019

In this study, we discussed the fractional order model of tumor-immune system based on Liu‘s model. We examine the dynamic behaviour of tumor growth and investigate the conditions of tumor removal mathematically. We discussed qualitative analysis on the mathematical model and defined the existence and uniqueness conditions. Local stability is also checked for tumor-free equilibrium point. We give facts about that tumor growth rate, source rate of immune cells, and death rate of immune cells play vital role in tumor dynamics. Numerical simulations are demonstrated to reveal the analytical results.
Implementing Quick Response Manufacturing to Improve Delivery Performance in an ETO Company
Authors: Cheng Siong Bong , Kuan Eng Chong
Published: April 2019

As the pressure is increasing to compete with others to get customer orders in the global market, companies are struggling to build up competitive advantages that are hard to imitate. The trend shows more and more customers demand faster product delivery in the last decade. The Quick Response Manufacturing (QRM) approach provides significant benefits to engineer-to-order (ETO) companies through its focus on lead time reduction. A precision parts manufacturer was selected as case study to what extent QRM is a suitable solution to improve the delivery performance. This paper describes the implementation of the QRM concepts and illustrates how they were deciphered into practices that streamline the process across the organization. The study measures the effectiveness of the QRM framework through its ability to achieve better performance through concurrently reducing manufacturing critical-path time, lowering capacity utilization level and increasing throughput.
Usability Evaluation of The Interactive 3D Virtual Reality Cultural Heritage Museum Display: Fountain of The Lions Software Application
Authors: G. J , . Tromp , Wolff A , C. Torres J , Thi My Hoang
Published: April 2019

In this usability evaluation of the Fountain of the Lions software application aimed to be used by museum visitors, the software is analysed using three established usability research methods: personas, a cognitive walkthrough (task analysis) with three participants, and an individual heuristic evaluation. Areas in which the software succeeds and areas which could use improvement are discussed based on the results of these analyses, including use of the methods.
On Distributed Reflexive Complex Mechanisms of Decision-making in a Transportation System of a Smart city
Authors: Fedyanin Denis , Vershinin Yuri
Published: April 2019

We describe distributed reflexive complex mechanisms of decision-making in a SMART city. These complex mechanisms are a cognitive self-organizing decision support system for development governance. These mechanisms utilize local information from all nearby sensors of city sensors on buildings, sensors on other cars, sensors on pedestrians and some additional information. We describe the way to a new level of safety of citizens by additional vision and automated reasoning.  It provide transparency in Augmented Reality Devices by virtually eliminating obstacles e.g. buildings. The problem is that development of a city is a process so people still have to make suggestions and now these suggestions are about awareness of other agents. Distributed reflexive complex mechanisms can assist and support their decisions in solving these problems.
Optimal approach for building scheduling algorithm in satellite communication
Authors: M. Al-Saegh Ali
Published: April 2019

Building scheduling algorithms in satellite communication links became a necessity according to the typical problems that satellite networks suffers from, such as congestions, jamming, mobility, atmospheric impairment, and achieving the quality of service (QoS) requirements. However, building efficient algorithms needs several considerations that should be taken into account. Such as satellite and earth station node(s), link parameters and specifications, along with the service requirements and limitations. This paper presents efficient approach for accumulating the effective considerations that the designer should employ as a framework for building proper and efficient scheduling algorithm. The proposed approach provides proper solutions to the satellite communications impairments and satisfies the quality of service requirements in satellite communication networks.
Development of Non-Character Player Using Self-Learning Algorithm for Artificial Intelligent Games
Authors: A. Noryushan M , Zamin N , A. Rahim H , A. Sahari M , I. Hassan N , M. Fauzee Z
Published: April 2019

In most of video games, the Non-Playing Character (NPC) behavior and movement are usually scripted. Players who have exploited the NPCs weaknesses will be able to beat them easily and there will be no freshness in player experiences. However, if the character can adapt and learn from the environment, it will be more interactive since players need to find new weaknesses to exploit. In this project, an agent that can learn by itself in the game which is introduced. This ongoing project investigates and compares the available self-learning algorithms used in game development and will be implemented as the intelligent agent. The Fourth Industrial Revolution (IR 4.0) has the potential to raise global income levels and improve the quality of life through Artificial Intelligence (AI) programs.  AI has made possible new products and services that increase the efficiency and pleasure of our personal lives such as dynamic games that can learn from its environment.
Design of Second Order Sliding Mode for Glucose Regulation Systems with Disturbance
Authors: Jaleel Humaidi Amjad , Hasan Sami , Abdulhussein Al-Jodah Ammar
Published: April 2019

In this work, Design of second order sliding mode control has been developed to control the diabetic glucose concentration level under disturbing meal has been controlled using three sliding mode controllers. A comparative study of three sliding mode controllers is made in terms of robustness characteristics due to meal feeding. The first is the classical sliding mode controller, the second is integral sliding mode controller and the third is the second order sliding mode controller. Due to their characteristic features of disturbance rejection, all the three sliding mode controllers are presented here for comparison. The Bergman minimal mathematical model is used to describe the dynamic behavior of blood glucose concentration due to insulin regulator injection. Simulations, based on MATLAB/Simulink, were performed to verify the performance of each controller. It has been shown that integral and second order sliding mode controllers are the best of all in terms of disturbance rejection capability.
Reflexive Self-Organizing Decision Support Systems for Development Governance
Authors: Vladimir Lepskiy
Published: April 2019

In the context of the development of ideas about scientific rationality (classical, non-classical, post-non-classical) the role and diversity of types of reflexive activity in supporting decision makers are justified. The basic types of reflexive activity and reflexive technologies in management are systematized. The trend of transition from control to self-regulation of reflexive activity in self-developing reflexively active environments is grounded.
Identifying factors for student retention of higher ed institutions using decision tree
Authors: Gierman Jason , Strong Oliver , Hu Gongzhu , . .
Published: April 2019

Student retention is an issue of high priority for many colleges and universities. Keeping students in school is the very basic condition for them to achieve their goals for going to colleges in the first place. A lot of research and practices have been done across institutions to improve student retention rates, but colleges and universities are still trying to figure out what are the factors that are most important to student retention. In this paper, we present our experiments of building predictive models, particularly decision tree models, to fit in the overall prediction of full time student retention. The data set of 1,965 cases from 1987 to 2000 obtained from the Delta Cost Project Database of the American Institutes for Research has 541 variables. We used variable selection measures like R-Squared to reduce to 45 variables and build decision tree models to fit the training data. Eight variables were identified to be most influential to the retention rates. Our experiments show that the decision trees with moderate depth are suitable for creating retention model.