bluuebunny/crossref_metadata_2025_split huggingface dataset:
Filling Sharp Features on Corner of Triangular Mesh by using Enhanced Advancing Front Mesh (EAFM) method
Authors: Awang Noorehan , Wirza Rahmat Rahmita , Suhaiza Sulaiman Puteri , Jaafar Azmi , Seng Beng Ng 
Published: May 2018

Repairing an incomplete polygon mesh constitutes a primary difficulty in 3D model construction, especially in the computer graphics area. The objective of hole-filling methods is to keep surfaces smoothly and continually filled at hole boundaries while conforming with the shapes. The Advancing Front Mesh (AFM) method was normally used to fill simple holes. However, there has not been much implementation of AFM in handling sharp features. In this paper, we use an AFM method to fill a holes on sharp features. The Enhanced Advancing Front Mesh (EAFM) method was introduced when there was a conflict during triangle creation. The results of the study show that the presented method can effectively improve the AFM method, while preserving the geometric features and details of the original mesh.
Integrated Interface Development Environment using STEP Universal Data Structure
Authors: M.S. Tg Sulaiman T , B. Mohamed S , Minhat M , S. Mohamed A , R. Mohamed A 
Published: May 2018

Nowadays modern manufacturing demands advanced computer controller, having higher input language and less proprietary vendor dependencies. STEP stands for Standard for the Exchange of Product model data is the next generation of data model between CAD/CAM and CNC system. STEP is still under research and development all around the world. This paper describes the design, development and testing of an integrated Interface development environment for STEP file using Universal Data Structure, which aims to provide support for machining operation. The system also aims to provide function of reading and extracting the relevant information associated with the machining data and to write the G-Code file. The sample of machined block is designed from 3D CAD modeler which consisted of features need to be machined from a blank workpiece and saved in the STEP file format. The validation process will be done using the simulation in the Mach3 software.
Innovation and Skills Workers of Mechanical Engineer to Design Smart Flush
Authors: Omar Ali Saifuddin bin Wan Ismail W , Binti Hamzah Noraini , Bin Jusoh Khalid 
Published: May 2018

Smart Flush is an innovative product in mechanical engineering. All the skilled workers need to improve the quality of product that would be manufacture. The three objectives of this study are as follows: (i) to design automatic water level control based on electrical conductivity of the water; (ii) to improve the supply of water into the water tank as well as avoiding any accessing water; and (iii) to provide easy installation and maintenance. 5W + 1H concept are used to solve the problem. The existing water level for toilet flushing system employs mechanical method, which is commonly expose to mechanical failure. This research introduces the notion of water level controlling within the context of electrical conductivity of the water. System design integrates the electrical and electronic based water level sensing and couple with solenoids shut off valve in a wired environment. The system equipment is lower power consumption, equipment only work when the water level changes, usually is in a waiting state. Smart Flush approach would help in reducing water overflow and low water pressure in the piping system. Maintaining water level inside the toilet pump system is an essential aspect in order to avoid waste of water due to overflow.
Performance Comparison of Neural Network Training Algorithms for Modeling Customer Churn Prediction
Authors: Khalid Awang Mohd , Ridwan Ismail Mohammad , Makhtar Mokhairi , Nordin A Rahman M , Rasid Mamat Abd 
Published: May 2018

Predicting customer churn has become the priority of every telecommunication service provider as the market is becoming more saturated and competitive. This paper presents a comparison of neural network learning algorithms for customer churn prediction. The data set used to train and test the neural network algorithms was provided by one of the leading telecommunication company in Malaysia. The Multilayer Perceptron (MLP) networks are trained using nine (9) types of learning algorithms, which are Levenberg Marquardt backpropagation (trainlm), BFGS Quasi-Newton backpropagation (trainbfg), Conjugate Gradient backpropagation with Fletcher-Reeves Updates (traincgf), Conjugate Gradient backpropagation with Polak-Ribiere Updates (traincgp), Conjugate Gradient backpropagation with Powell-Beale Restarts (traincgb), Scaled Conjugate Gradient backpropagation (trainscg), One Step Secant backpropagation (trainoss), Bayesian Regularization backpropagation (trainbr), and Resilient backpropagation (trainrp). The performance of the Neural Network is measured based on the prediction accuracy of the learning and testing phases. LM learning algorithm is found to be the optimum model of a neural network model consisting of fourteen input units, one hidden node and one output node. The best result of the experiment indicated that this model is able to produce the performance accuracy of 94.82%.
Travelling-Wave Similarity Solution for Gravity-Driven Rivulet of a Non-Newtonian Fluid
Authors: Sabariah Abas Siti , Mohd Yatim Yazariah , . . 
Published: May 2018

Unsteady travelling-wave similarity solution describing the flow of a slender symmetric rivulet of non-Newtonian power-law fluid down an inclined plane is obtained. The flow is driven by gravity with strong surface-tension effect. The solution predicts that at any time and position , the rivulet widens or narrows according to , where is velocity of a rivulet, and the film thickens or thins according to a free parameter , independent of power-law index . The rivulet also has a quartic transverse profile which always has a global maximum at its symmetrical axis.
Current Issues in Ciphertext Policy-Attribute Based Scheme for Cloud Computing: A Survey
Authors: Muhammad Norhidayah , Mohamad Zain Jasni , Mohamad Mumtazimah 
Published: May 2018

The use of cloud computing has increased exponentially in data resources storage over the past few years. Cloud storage reduces the overall costs of server maintenance, whereby companies only pay for the resources they actually use in the cloud storage. Despite this, security concerns in cloud computing must be a top priority. One of the common encryption methods in cloud security is Attribute Based Encryption (ABE). ABE contains two types, namely, Ciphertext Policy-Attribute Based Encryption (CP-ABE) and Key Policy- Attribute based Encryption (KP-ABE). CP-ABE is better than KP-ABE, especially in reduplication issues and fine-grained access. However, issues in CP_ABE need further improvement. Improvement for the CP-ABE scheme has been growing rapidly since 2010 to date, and five main issues need improvement. This paper reviews the proposed CP-ABE schemes during the past three years. These schemes focus on solving the five issues identified inherent in the CP-ABE scheme.
Challenges of event detection from social media streams
Authors: Zubair Al-Dyani Wafa , Hussein Yahya Adnan , Kabir Ahmad Farzana 
Published: May 2018

The area of Event Detection (ED) has attracted researchers' attention over the last few years because of the wide use of social media. Many studies have examined the problem of ED in various social media platforms, like Twitter, Facebook, YouTube, etc. The ED task for social networks involves many issues, including the processing of huge volumes of data with a high level of noise, data collection and privacy issues, etc. Hence, this article discusses and presents the wide range of challenges encountered in the ED process from unstructured text data for the most popular Social Networks (SNs), such as Facebook and Twitter. The main goal is to aid the researchers to understand the main challenges and to discuss the future directions in the ED area.
Development of café web-based system using priority scheduling approach
Authors: Ghazali Fatimah , Ismail Rohana , Hariz Hasni Mohamad 
Published: May 2018

Manual food ordering system requires on many employees to handle ordering process. It can be dull and disorganized, and can end up with data irregularity for generating sales report. Moreover, the total time taken for food preparations is longer. Therefore, the café web based system is developed using priority scheduling algorithm to reduce the duration in ordering process, handling and preparing bulk and concurrent order, and at the same time minimizing the cost of handling employees. The priority scheduling algorithm is based on Control Processing Unit scheduling algorithm where it has a priority to execute tasks in waiting queue. The system is implemented at UniSZA’s café where it will be used by café owner and UniSZA students. This system is developed based on three-tier architecture. The JSP, JavaScript, Java and MySQL have been employed to improve manual ordering management. Initially, the preliminary testing shows that the priority scheduling algorithm has a potential to exchange the traditional ordering system.
Effects of Different Intensities of Weighted Vest Warming up Session on Physical Performances of Power Sports Athletes
Authors: Ab Malik Zulezwan , Ishak Asmadi , Aiwa Rosman Noor , Osman Noorzaliza , Kadir Mahmod Abdul , Oliver Francis Leo , Md Nadzalan Ali 
Published: May 2018

Optimum physical performance is vital component for athletes to excellent in their sports. Weighted vest warming up is one of the ways to manipulate intensities of warming. The purpose of this was to investigate the effect of different intensities weighted vest warming up session on physical performances. Twenty participants from power sports athletes was did all weighted vest warming up protocol (a) wore weighted vest 6% of body mass,(W6),(b) wore weighted vest 12% of body mass (W12) (c) with body weight only or 0% of additional weight in intensities of warming up session (W0). All participants undergo cross over design and evaluated using vertical jump test, standing broad jump test, seated medicine ball toss test and 20m sprint test after finish each warming up sessions. 1-way, repeated-measures analysis of variance on the test result showed significant different of the effect different intensities of weighted vest warming up session on all physical performances test. In conclusion, usage of 6% and 12 % from body weight of additional weight on weighted vest warming up session can promote to improving physical performances.
MediKit : IoT Based Smart Healthcare System for Effective Supervision of Patient
Authors: Surya Tej Mahankali , Ameet Chavan Dr 
Published: May 2018

Medikit - An IoT healthcare system is developed for patients, hospitals and care centers that regularly supervise the health condition and checks whether the patient has taken the prescribed medicine. The proposed work monitors patient’s vitals such as pulse rate and body temperature on real time basis. Such information will be used by the doctor to diagnose the patient remotely and prescribe optimum medication dose. Further, the Medikit system apart from collecting the data ensures that patient has taken the medicine on time. For the proposed system the authors have used Bluetooth Technology to send sensor data to a Smartphone and also to Cloud Service Platform for archiving and analysis. The information available on the Cloud can be supervised by the doctor by using a Mobile application. The mobile application also supports scheduling of medicines as per doctor’s prescription in the medical box. The comprehensive system developed, to the best of author’s knowledge, is low cost, efficient and service oriented as compared to the traditional healthcare practices and other eHealth solutions discussed.
Iterative Analysis of Dielectric Constant of Patch Antenna Substrate at UHF Band
Authors: Kumar Jha Amish , Gupta Bharti Gupta , D Swami Preety 
Published: May 2018

This paper presents an investigation of effect of substrate material properties on the performance of antenna. The simulations are tested for 30 different dielectric materials on the basic RPA antenna model as well as on the most common U shape model using CST Microwave Studio. Two designs are proposed. On the basis of simulation results it has been concluded that for the first design the best material is which has a dielectric constant of 2.7 (𝜀r = 2.7) with bandwidth improvements of around 69.33% to 88.6% as compared to the most frequently used materials at present. For the second design the best result is obtained for the material that has dielectric constant in the range 2.0 to 2.7. For a material having dielectric constant of 2.1 (𝜀r = 2.1) bandwidth improvement of around 11.74% with respect to RT Duroid was observed. For the second design, radiations from all other materials were not available in the working frequency range of 1GHz to 6GHz.
Level Converters for Ultra Low Power IoT Applications
Authors: Yugendra Chary T , Anitha S , Alamillo M , Chavan Ameet 
Published: May 2018

For efficient ultra-low power IoT applications, working with various communication devices and sensors which operating voltages from subthreshold to superthreshold levels which requires wide variety of robust level converters for signal interfacing with low power dissipation. This paper proposes two topologies of level converter circuits that offer dramatic improvement in power and performance when compared to the existing level converters that shift signals from sub to super threshold levels for IoT applications. At 250 mV, the first proposed circuit - a modification of a tradition al current mirror level converter - offers the best energy efficiency with approximately seven times less energy consumption per operation than the existing design, but suffers from a slight reduction in performance. However, a second proposed circuit - based on a two-stage level converter - at the same voltage enhances performance by several orders of magnitude while still maintaining a modest improvement in energy efficiency. The Energy Delay Products (EDP) of the two proposed designs are equivalent and are approximately four times better than the best existing design. Consequently, the two circuit options either optimizes power or performance with improved overall EDP.
Identification of Micro-calcification in Mammogram for Breast Cancer Analysis using SVM Classifier
Authors: Makwana Gaurav , Gupta Lalita 
Published: May 2018

Breast cancer is most common disease in women of all ages. To identify & confirm the state of tumor in breast cancer diagnosis, patients are undergo biopsy number of times to identify malignancy. Early detection of cancer can save the patient. In this paper a novel approach for automatic segmentation & classification of breast calcification is proposed. The diagnostic test technique for detection of breast condition is very costly & requires human expertise whereas proposed method can help in automatically identifying the disease by comparing the data with the standard database. In proposed method a database has been created to define various stage of breast calcification & testing images are pre-processed to resize, enhance & filtered to remove background noise. Clustering is performed by using k-means clustering algorithm. GLCM is used to extract out statistical feature like area, mean, variance, standard deviation, homogeneity, skewness etc. to classify the state of tumor. SVM classifier is used for the classification using extracted feature.
Performance estimation of Adaptive threshold median filter design in image Denoising
Authors: Bhargava Choubey Shruti , Choubey Abhishek 
Published: May 2018

Picture denoising is utilized as a part of numerous fields like PC vision, remote detecting, medicinal imaging, apply autonomy and so forth. In a significant number of these applications the presence of rash clamour in the procured pictures is a standout amongst the most widely recognized issues. The concept of this method is to provide simple but efficient method of image de-noising using filter to improve the performance and reduce the complexity of implementation. This method use the combination of average filtering and median filtering to remove the noise and produce better results with small window size 3x3. So the image details preservation is also better with small window. Mathematical results show that quality of image is better than the other filtering methods. Hardware implementation of this method is also very easy; because less number of calculations required removing the noise. Reconfigurable hardware filters may be embedded with photo acquirements provision to gain that goal. Field programmable doorway order (FPGA) is appropriate because pipelining or parallelism facts processing. What’s more, though the filtering algorithm techniques huge amount over data, however such does no longer require to shops a cluster regarding intermediate data and has the consequent properties: easy of computing or reproducible, for this reason it is suitable to be applied the usage of FPGA.
Low Power Continuous-Time Delta-Sigma Modulators Using the Three Stage OTA and Dynamic Comparator
Authors: Gupta Anshu , Gupta Lalita , K. Baghel R 
Published: May 2018

A second-order sigma delta modulator that uses an operational transconductance amplifier as integrator and latch comparator as quantizer. The proposed technique where a low power high gain OTA is used as integrator and another circuit called dynamic latch comparator with two tail transistors and two controlling switches are used to achieve high speed, low power and high resolution in second order delta sigma modulator. It enhances the power efficiency and compactness of the modulator by implementing these blocks as sub modules. A second order modulator has been designed to justify the effectiveness of the proposed design. Technology 180nm CMOS process is used to implement complete second order continuous time sigma delta modulator. We introduce the sub threshold three stage OTA, which is a way of achieving low distortion operation with input referred noise at 1 KHz is equal to the 2.2647pV/ and with low power consumption of 296.72nW. A high-speed, low-voltage and a low-power Double-Tail dynamic comparator is also proposed. The proposed structure is contrasted with past dynamic comparators. In this paper, the comparator’s delay will be investigated and systematic analysis are inferred. a novel comparator using two tail transistor is proposed, here circuitry of a customized comparator having two tail is changed for low power dissipation and also it operates fast at little supply voltages. By maintaining the outline and by including couple of transistors, during the regeneration strengthening of positive feedback can be maintained, this results in amazingly diminished delay parameter. It is investigated that in proposed design structure of comparator using two tail transistors, power consumption is reduced and delay time is also diminished to a great extent. The proposed comparator is having maximum clock frequency that is possibly expanded up to 1GHz at voltages of 1 V whereas it is dissipating 10.99 µW of power, individually. By using sub threshold three stage OTA and dynamic standard two tail latch comparator, designed second order sigma delta ADC will consume 29.95µW of power.
Design of Power Efficient 32-Bit Processing Unit
Authors: Asha Devi Dharmavaram , Sandeep Chintala , Sugun L Sai 
Published: May 2018

The proposed paper is discussed about the design, verification and analysis of a 32-bit Processing Unit. The complete front-end design flow is processed using Xilinx Vivado System Design Suite software tools and target verification is done by using Artix 7 FPGA. Virtual I/O concept is used for the verification process. It will perform 32 different operations including parity generation and code conversions: Binary to Grey and Grey to Binary. It is a low power design implemented with Verilog HDL and power analysis is implementedwith clock frequencies ranging from 10MhZ to 100GhZ. With all these frequencies, power analysis is verified for different I/O standards LVCMOS12, LVCMOS25 and LVCMOS33.
An Analytical Model Verification for high Gain H- Slot RPA Using Discontinuities of Radiator
Authors: Tiwari Pritesh , Gupta Lalita 
Published: May 2018

Antenna plays an important role in most of the RF and microwave applications. Intensifying applications of wireless communications now a day’s persist to challenge RF or microwave Antenna with ever more meticulous requirements- smaller size, lighter weight, high performance, economical and easy for fabrication. The advancement in the modern materials fabrication technologies and different research on novel materials, including monolithic microwave integrated circuits (MMIC), low-temperature cofired ceramics (LTCC), high-temperature superconductors (HTS), micro electro mechanic system (MEMS), and micromachining technology, have encouraged the fast strengthening of latest microstrip and supplementary Antenna for RF and microwave applications. The manuscript presented here is a representation of the H shape patch antenna design and effect of coupling of parasitic patch and discontinuities in radiating structure in order to achieve high gain and better bandwidth (-10 dB). A mathematical model is presented which has been established on the basis of result obtained. The working frequency range of the manuscript is from 1 GHz to 20 GHz.
Frequency Domain based Digital Down Conversion Architecture for Software Defined Radio and Cognitive Radio
Authors: Sahukar Latha , M. Madhavi Latha Dr 
Published: May 2018

This paper presents a sampling rate digital down converter that is totally based on frequency domain processing. The proposed DDC is targeted for Software Defined Radio and Cognitive Radio architectures. The proposed architecture is based on replacement of the complex multiplication with direct rotation of the spectrum. Different aspects of frequency domain filtering are also discussed. The Xilinx Virtex-6 family FPGA, XC6VLX240T is used for the implementation and synthesis of the proposed FFT-IFFT based architecture. The overlapping in time domain at the output of the IFFT block is avoided using overlap and add method. In terms area, highly optimized implementation is observed in the proposed architecture when compared to the conventional DDC. The synthesis results have shown that the developed core works at a maximum clock rate of 250 MHz and at the same time occupies only 10% of the slices of FPGA.
VLSI Design flow for Secure Integrated Circuits based on DES, TDES, AES and Blowfish Algorithms and their performance
Authors: Swamy Varkuti Kumara , Benakop Prabhu 
Published: May 2018

Information Communication Technology (ICT) and Information Security (IS) are playing vital role in the present day communications. Information is prone to side channel attacks at software level where as it is very difficult to hack the information at hardware level. Security is the major concern in the paperless communication and cashless online transactions. This paper aims to implement the most secured Improved Modified Blowfish Algorithm (IMBFA) by incorporating cell substitution using Wave Dynamic Differential Logic (WDDL) and interconnect decomposition in the VLSI Design flow to not to allow the hacker to estimate or predict the key. Proposed IMBFA which can result in high speed, high throughput and effective memory utilization compared to Data Encryption Standard (DES), Triple Data Encryption Standard (TDES), Advanced Encryption Standard (AES) and Blowfish (BF). In this research paper, IMBFA yielded minimum delay as 71.067 ns, frequency of the design as 14.07 MHz, memory utilization as 62.481MB and throughput is 900Mbps compared to AES, TDES and DES algorithms. It is simulated using ModelSim, Synthesized using Leonardo Spectrum and implemented using Verilog HDL.