bluuebunny/crossref_metadata_2025 huggingface dataset:
Implementation of mobile APP service in an electronic tax invoice
Authors: Seop Shim Myeong
Published: April 2019

Background/Objectives: This study is designed to carry out effective work such as electronic tax invoice issuing,transfer and retrieval for National Tax Administration, tax invoice checking in sales and purchase through smartphone with no regard to time and place according to the development of issuing in electronic tax invoice based on smartphone mobile application against electronic tax invoice based on existing Web.Methods/Statistical analysis: Data analysis of existing electronic tax invoice and database analysis of electronic tax bill based on existing Web for the purpose of application development in iphone and Android based phone.FindingsSmartphone based functions of how to write or issue or check a tax invoice as well as supporting customer are implemented in this study in order for the target of design and building application in smartphone for Web based electronic tax invoice through analysis of database in existing Web based electronic tax invoice.Improvements/Applications: Services that can deliver electronic tax invoice issuingmore quickly and rapidly to a lot of users having restrictions in time and place who are related in wholesale and retail dealers, distribution dealers, and fording agent are able to provide through application of electronic tax invoice issuing based on smartphone which is developed in this study.
An effective reversible data hiding algorithm using Huffman coding and pixel value prediction algorithm based on the similarity between adjacent pixel values
Authors: Mok Jung Soo
Published: April 2019

In this paper, an effective reversible data hiding algorithm was proposed to increase the amount of data to be embedded data into cover image. Generally, there is similarity between adjacent pixel values in natural images. In the proposed algorithm, a technique that accurately predicts pixel value using adjacent pixel values was used and Huffman coding algorithm was used to increase the amount of data to be embedded into cover image. The proposed reversible data hiding algorithm increases greatly the amount of data embedded into cover image. Also, the visual quality of the secrete data embedded image is very good. So, it is difficult to know whether secrete data has been embedded into the image. Also, using the proposed algorithm, secrete data can be embedded at various levels. The experimental results show that the proposed reversible data hiding algorithm is superior to APD algorithm. Therefore, the proposed algorithm is very useful for reversible data hiding applications.
Modeling of cognitive radio system for the improvement of spectrum utilization
Authors: M Meena , M Monish , C Sharanya , V Rajendran Dr
Published: April 2019

It’s well inferred that the MAC layer technique on wireless network is well established and many scientists elaborately worked on this technique till the updated 5G technology. However, the present study clearly says on spectrum-based parameters are becoming very popular and cognitive defined systems are found to be near best solution for many communication network applications. Hence this paper provides to develop an algorithm and policy engine makes a details model and study on dynamic spectrum access in cognitive system using continuous time Markov chain process. The detailed and outcome of results clearly shows a 96% of efficiency on the spectrum dynamics which came from our unique proposed model.
High performance turbo encoder using mealy FSM state encoding technique
Authors: Sujatha E , C. Subhas Dr , M. N. Giri Prasad Dr
Published: April 2019

Error-correction Coding plays a vital role to obtain efficient and high quality data transmission, in today’s high speed wireless communication system. Considering the requirement of using high data rates by Long Term Evolution (LTE) system, parallel concatenation of two convolutional encoders were used to design turbo encoder. In this research task a high speed turbo encoder, which is a key component in the transmitter of wireless communication System, with memory based interleaver has been designed and implemented on FPGA for 3rd Generation Partnership Project (3GPP) defined Long Term Evolution – Advanced (LTE-A) standard using Finite state Machine(FSM) encoding technique. Memory based quadratic permutation polynomial (QPP) interleaver shuffles a sequence of binary data and supports any of the 188 block sizes from N= 40 to N= 6144. The proposed turbo encoder is implemented using 28nm CMOS technology and achieved 300 Mbps data rate by using 1% of available total hardware logic. By using the proposed technique, encoded data can be released continuously with the help of two parallel memories to write/read the input using pipelining concept.
A review of characteristic study of micro calcification using son mammogram images
Authors: R. Jothilakshmi G , Arun Raaza Dr , Y. Sreenivasa Varma Dr , V. Rajendran Dr , Guru Nirmal Raj R
Published: April 2019

In recent years, the mortality rate in women increases a lot due to occurrence of breast cancer. The challenging task in medical field is to find breast cancer at an early stage. Because the detection of breast cancer at its early stage makes the treatments easy and increases the survival rate of victim. In this review paper, a detailed explanation is given about the characteristics of micro calcification (ie its shape and distribu-tion) and detailed literature survey is done that shows the techniques used previously to detect the Micro calcification from different diag-nostic sources. Moreover, this review paper proposes a new algorithm, to detect micro calcification and to find its classification (benign or malignant) from sono mammogram images at an early stage. First filtering will be taken place in order to enhance the image. Second the image is to be binned and the affected area is to be separated (ROI) by edge detection. Then the size, shape, distribution and density of the ROI will be determined. From the characteristics of RoI, a mathematical model will be developed and signatures to be found to confirm the occurrence of micro calcification and to find its classifications.
A study on the sandwich-style notched tensile specimens for different materials through a simulation analysis
Authors: Ho Lee Jung , Ung Cho Jae
Published: April 2019

Background/Objectives: This study designed a model that used the sandwich-style notched tensile specimens of the same specifications by applying to the properties of CFRP, stainless steel, and aluminum, and performed a test simulation.Methods/Statistical analysis: The study used CATIA design software to perform the 3D modeling of the sandwich-style notched tensile specimens with the properties of CFRP, a composite material, and stainless steel and aluminum, both ordinary metals, and then, performed a tensile test simulation.Findings: By designing the sandwich-style notched tensile specimens of the same specifications and performing a test simulation, we were able to verify the tensile strength and durability of the specimens for the different materials. This study result showed that unlike the specimens for the ordinary metals, those specimens with the properties of the composite material of CFRP first showed maximum load instead of breaking immediately due to the fibers in CFRP, before they resisted displacement in response to the alternately increasing and decreasing load until it fractured. To be specific, we saw that the CFRP specimens had the more excellent tensile strength and durability.Improvements/Applications: The data obtained from the studies will serve as the basic data for studies on the composite materials like CFRP and other various materials.
Analysis of operating noise characteristics and contribution for automotive seat backrest adjuster
Authors: Yuk Kim Sung , Sun Kim Key
Published: April 2019

Background/Objectives: This study involved basic research on operating noise in an automotive seat backrest adjuster through analysis of noise sources, noise source contributions, and seat pad noise reduction effects.Methods/Statistical analysis: The test product was a driver seat of 3300cc commercial sedan. First, basic data is obtained through analysis of driving mechanism of seat backrest adjuster. Based on this, vibration and noise characteristics were analyzed by operating test of backrest adjuster, and contribution analysis to noise sources was performed. Finally, by analyzing the effect of noise reduction on the seat pad, the effect of each noise source on the backrest operating noise was determined.Findings: First, it was confirmed that the low frequency fluctuation caused by the total noise is dependent on change in the load generated by eccentric rotation of the recliner gear. Therefore, it was found that the design of the recliner gear teeth was a decisive factor in controlling the motor load. Second, the 20th order (1,320Hz) of the DC geared motor was the main cause of operating noise, which was derived from friction noise of brush-commutator and torque ripple noise. This noise accounted for more than 55% of total operating noise. In addition, the 30th order amounted to approximately 18%. In other words, the harmonic components of the DC geared motor created most of the noise, and changing the brush material and reducing torque ripple is expected to significantly improve the overall operating noise. Lastly, as a result of the seat pad noise reduction effect, total power decreased by more than 11dB (A). In addition, it was confirmed that the 20th order cause of the main noise was reduced by about 45%p.Improvements/Applications: The noise contribution of the seat recliner adjuster derived from this study can be used as a basic data for noise reduction.
Usefulness of tungsten shield in mammography
Authors: Gyu Kim Chang
Published: April 2019

Background/Objectives: In order to minimize unnecessary artifacts and medical radiation dose for acquiring final diagnostic medical image with high diagnostic value in X-ray mammography, a tungsten shield was produced to evaluate the usefulness of clinical application.Methods/Statistical analysis: The radiation dose at the time of mammography was measured in the same posture as breast cancer examination in a clinical hospital for health screening. In the R - CC, L - CC. R - MLO, L- MLO posture mammography, the distribution of radiation dose for each part by placing a glass dose device at the breast position with the breast equivalent phantom. In order to reduce measurement error, mammography was repeated five times.Findings: When the eco-friendly shield was used, the average dose was 40 ± 0.34μGy, which showed a radiation dose reduction efficiency of 64.6% and a reduction factor of 2.8. Using eco-friendly shield tungsten shield, reproducibility of fibrin was 4.5, reproducibility of specks was 4.0, and reproducibility of the mass was 4.0 ± 0.2, resulting in 12.5, exceeding the approved acceptance criteria of 10.Improvements/Applications: This result is expected to be used as an important basic data for predicting patient's radiation dose, determining test method and decreasing medical radiation dose in future breast cancer examination.
A literature survey on question answering system in natural language processing
Authors: Clementeena A , P. Sripriya Dr
Published: April 2019

In order to respond to usual free form of questions that is contained in a large collection of informative texts or information. For this to hap-pen one must understand what type of questions are being imposed and thus to also know a few knowledge about the process. The con-straints will include the semantic and syntactic knowledge and framing that sort of question with possible correct answers. Thus this paper gives you a clear vision of how its being worked on question answering and thus it presents a machine learning approach. Also ways a important way of giving answers to closed domain in a different data set of know.
Seed based plant propagation algorithm for multiple travelling salesman problem
Authors: Kalaiarasi S , Sriramya P
Published: April 2019

Multiple Travelling Salesman Problem is a complex problem in which route for a salesman is assigned to visit a city that has various hurdles such as congested road, damaged road, etc. In recent years biologically inspired algorithms are most widely used to solve many optimization problems. Here seed based plant propagation algorithm is applied for the multiple travelling salesman problem that is also a optimization problem, and the result is compared with a short-cut routing algorithm. The result shows that Seed based Propagation Algorithm is easy to implement since it has few parameters to be utilized and also time complexity is reduced when implemented in multiple travelling salesman problem.
A study on sequential pattern mining on chemical information
Authors: Sathya S , Rajendran N
Published: April 2019

Data mining (DM) is used for extracting the useful and non-trivial information from the large amount of data to collect in many and diverse fields. Data mining determines explanation through clustering visualization, association and sequential analysis. Chemical compounds are well-defined structures compressed by a graph representation. Chemical bonding is the association of atoms into molecules, ions, crystals and other stable species which frame the common substances in chemical information. However, large-scale sequential data is a fundamental problem like higher classification time and bonding time in data mining with many applications. In this work, chemical structured index bonding is used for sequential pattern mining. Our research work helps to evaluate the structural patterns of chemical bonding in chemical information data sets.
neck-carean early warning system to prevent neck pain
Authors: T P Rani. , G Shalini , P Sivapriya , P Jayashri
Published: April 2019

Technology has been playing a vital role in day-to-day life of the mankind. Eventually, it has also made a serious impact on the society by affecting the health condition of the people. A recent research proves that nearly 71% of the people community has been affected by the neck pain. The major factor for this impact is the long term usage of the mobiles or computers. As we are forced in an environment where we work for a very large time focusing upon a single position, there is risk of getting neck pain. To mitigate this problem, we proposed a sys-tem which alerts the user by tracking the neck movements. The sensor will be placed at the back of the user's head to determine the neck movements since the neck muscles are attached with the head. For detecting the neck movement, we have used MEMS SENSOR which can determine the variations in 3600degree. This sensor will be interfaced with the system via USB Cable through the arduino board. An alert message will be popped-out on the screen by the system to notify the user if the system finds slight variations in the neck movement. The data collected from sensor through data logging process will be sent to the registered mail of the user at the time of authentication. The sug-gestions will also be displayed as a pop-up message to reduce the strain. We have achieved approximately 93% accuracy, during testing process.
Preventing malicious accounts based on mining with steganography in online
Authors: K. Karpaga Priyaa Ms , Lahari Keerthipati , Vasundhara V , Saranya C
Published: April 2019

On-line Social Networks (OSNs) are progressively exerting consequences on the way communication takes place among people through sites such as Twitter, Facebook, Google+ and LinkedIn, possessing millions of users. The Online Social Networks’ (OSN) users face security-privacy threats such as Profile cloning, privacy breach and malware attacks. By these attacks, the fake user steals the virtual identity of the original user which they use to interact with other online users. To prevent these attacks, the proposed system uses Steganography which is the process of hiding information within other non-secret text or data. Our proposed system utilizes Steganography by implementing Watermarking technique which hides a secret text inside an image invisibly. Moreover the system avoids the leakage of personal information and prevents the creation of fake accounts. Experimental results show that the proposed technique can effectively detect and prevent creating malicious accounts in comparison with the techniques reported previously.
Solar auto irrigation control (SAIC) using resistivity measurement at multiple points
Authors: K. Singh V , Saxena Anurag , Kumar Gupta Ritik , Verma Nidhi , Kushwaha Taruna , Soo Chae Gyoo , Sharma Ashis , Kumar Bhoi Akash
Published: April 2019

In this article, a special type of microcontroller named as Arduino Nano 3.0 (ATMega 328) is used for the operation of an automatic irriga-tion system which is powered by solar energy. Here, the resistivity of soil is measured with the use of electrode (resistivity sensor). Through this type of irrigation system the farmer can use automatic ‘ON’ and ‘OFF’ system for water pump for irrigation. A complete hardware implementation is also presented in this paper.
Amplify-forward and decode-forward: a novel power allocation technique for MIMO cognitive radio network
Authors: Monisha M , Meena M , Sharanya C , Jaya T
Published: April 2019

Nowadays transmitting data through wireless communication channel requires more power than the wired communication channel. In other words any communication through wireless medium will consume more power. Since power is a limited source, it is hard to conserve it or reduce its usage and this leads to the concept of “Efficient power allocation scheme for MIMO (Multi Input Multi Output) cognitive radio” system. The proposed system uses two algorithms namely On/Off Based Scheduling (OOBS) and Selective Based Scheduling (SBS) in Amplify and Forward (AAF) and Decode and Forward (DAF) techniques. OOBS algorithm is used for efficient allocation of the input power to each user’s Signal to Noise Ratio (SNR) value. The proposed algorithm provides better power utilization with low bit error rate (9.53×10-7).
Internet of Things based Accident Prevention and Detection System
Authors: Meena K , Amuthadevi C , Sai Kumar G
Published: April 2019

Recent growth in technology makes our life faster and easier. This development in technologies leads to enhance the traffic hazards. In this paper, Internet of Things based accident prevention and detection system is proposed to deduce accidents and save human life. The vehicle performance has been continuously monitored for safety purposes. This technique is annoying to maintain speed balance to avoid accident and provide safety to the driver. Hence, a novel approach is proposed to avoid accidents and save the victims while accidents occur. Sensors are exploited to give alarm 'ON' when distance between two vehicles is too short. If accident happens, then the camera is automatically turned on and captures the images around 180 degree angles. This emergency alert information including the location is transferred to nearest police station, ambulance service and relatives through GSM modem. The major component of the project includes a Arduino, motion sensor, touch sensors, relay and GSM modem.
Review on using Region of interest for HEVC
Authors: Kokare Parmeshwar , MasoodhuBanu. N.M Dr
Published: April 2019

High efficiency video coding (HEVC) is the latest video compression standard. The coding efficiency of HEVC is 50% more than the preceding standard Advanced video coding (AVC). HEVC has gained this by introducing many advanced techniques such as adaptive block partitioning system known as quadtree, tiles for parallelization, improved entropy coding called Context-Adaptive Binary Arithmetic Coding (CABAC), 35 intra prediction modes (IPMs), etc. all these techniques have increased the complexity of encoding process due to which real time application of HEVC for video transfer is not yet convenient. The main objective of this paper is to provide a review of the recent developments in HEVC, particularly focusing on using region of interest (ROI) for reducing the encoding process time. Summaries of the different approaches to identify the ROI are discussed and a new method is explained.
Social policy and social legislation A jurisprudential interface
Authors: Dr. Shefali Raizada Prof.
Published: April 2019

Principle of democracy as governance is for the people by the people and of the people. People are not the recipient of state framed policies and programs. Citizens are not only consumers, choosers or users, but active participants for making and shaping the policies.According to Duguit, “Essence of law is to serve and secure social solidarity, where individual has to perform obligations as a member of the community”. Duguit says “everyone has to perform his duties to the society which would help to develop cooperation and social solidarity.” Law and society are interrelated and interdependent. Changes in every social component leads to change in various aspects, right from the social institutions, customs, ideologies, human behavior and human interactions.Law is meant for nonprofessionals. The welfare of the society &humanity is the sole purpose of Indian constitution. To take care of interests, social security, social solidarity are the main aim of law. Sociological school of thought says that ‘Law is social phenomenon’. According to this school, essential characteristic of law should be to represent common interaction of men in social group. Treatment towards law should be as instrument of social control and social progress. The role of law and its functioning towards society is the basic philosophy of sociological jurisprudence.Thus, social progress is very much regulated by the degree of law. Law is like the steering to lead society in particular direction. Law may be the fulcrum to control society. Balance between law and society will certainly responsible for social progress.
Service identification using k-NN machine learning
Authors: Joseph Poulose Travis , Ganesh Kumar S
Published: April 2019

Web service categorization is a daunting task since it requires semantic descriptions of those services which are not provided to the majority of those websites. The proposal of a Semantic based automated service discovery requires a request from the user that can be analyzed which then provides the user with a list of related webs services based on the request that instigated the search. The problem with these service categorizations listed in the Universal description Discovery and Integration (UDDI) is the way the information is related to one another. The relations follow a syntactic method. Semantic based service descriptions is necessary for accurate web categorization. With the help of machine learning we can also predict the user’s service request automatically based on previous searches and also select the best web service for a particular request that the user has made using a k-nearest neighbor algorithm. By doing this we can distinguish between the various types of user requests, provide services that are suitable for that particular request as well as suggest other services that might potentially suit the needs of the user.
Routing protocols for internet of things: a survey
Authors: Romario Bhattacharyya Tamoghno , M. Pushpalatha Dr
Published: April 2019

The world of wireless sensor network(WSN) is widening day by day and the latest technology in use the Internet of Things known as IOT is the latest craze in it. But the IOT technique and its devices requires routing protocols in situations like low power and lossy networks(LLNs) which brings great challenges. In many and some emergency cases, like in case of large and more data traffic which causes to lead in network congestions and also brings loss in packets and delay. In order to overcome all this problems , many group research and individuals are trying and focusing on different solutions to maximize the throughput for the RPL network. In this paper we will we studying and reviewing some of the different methods that has been taken to maximize the throughput in the network and hence try to come to a conclusion for the future techniques needed to be done.
Four-way handshake protocol for authenticating in multiple mix-zones
Authors: Senthil Kumar T , Prabhakaran S , Prashanth V
Published: April 2019

Authentication is the process of verifying that the users who they claim to be or not, it is based on identity and credentials. Most of the attacks can be reduced using authentication process. Authentication is important because as the amount of online data sharing has increased, threats and fraud in a large amount are also increased, a changing of the guard which provides security to mobile devices is needed for which authentication is necessary. Privacy of user’s location is important in mobile networks, there are several strategies to protect the personal information (i.e., their location). In previous work it is introduced that the mix zone model which will change the old pseudonyms to new pseudonyms and anonymizes user’s identity by restricting the position where users can be located. Later work, even in the multiple mix-zones model, attackers can attack by using side information (like footprints, navigation etc.). So, we need an authentication protocol while two mix-zones or user-services are communicating. We came across different authentication protocols like PAP, CHAP, and EAP. In this paper, a four-way handshake protocol is implemented for providing authentication while multiple mix-zones are communicating. A four-way handshake authentication protocol i.e., WPA-PSK protocol for verification. WPA-PSK is applied in such a way that both STA(supplicant) and AP(authenticator) can check that they are re-agreeing on a non-forged RSN and IE, therefore they are using the most secure available protocols.
Revitalization Model The Role of Tigo Tungku Sajarangan in Fostering Character of Children in Minangkabau Family and Its Socialization Through Website
Authors: Sitompul Roswita , Alesyanti A , Hartono H , Saleh Ahmar Ansari
Published: April 2019

Globalization is not a process of depriving identity, but a process for maintaining the identity of a nation. Maintenance does not mean to close themselves from the influence of foreign culture. The values contained within a culture must have the ability to adapt and adapt to other cultures through a selection process. Considering the social phenomenon that is happening in the daily life of Minangkabau society, implied the roots of cultural values, especially the value of characters, began to erode in the education of children in the family. The value of the character is almost no longer reflected in the daily life of Minangkabau youth. In fact there is an extreme statement that is often expressed by adat leaders, that at the level of the concept of Minangkabau human still densely, but not in line with the level of behavior. Changes in behavior of the younger generation seems to have tercerabut from the roots of culture.Starting from the above phenomenon, the researcher wanted to re-question the tasks and functions of the tuahku sajar tungku, which had been instrumental in providing character values for the children and nephew in Minangkabau, but slowly the task began to shift and rely on the parents alone. The question that arises here is why customary law no longer raises the responsibility of planting the value of character to the tuah kuung sangan, what factors lead to waning the spirit of character values in the education of children in the family, and how the model design that can be used as a reference for the effort to re-revitalize the role of tigo stoves in helping parents in instilling character values on Minangkabau family. This model is expected to be known to many people through socialization by using the website.
Ads Block Management System Using Open Virtual Private Network on Ubuntu Operating System
Authors: Syahputra Edy Rahman , Oktaviana Sembing Boni , Rafika Dewi Arie , Hasdiana H , Maulana Halim
Published: April 2019

In internet, an ad is something that able to be avoided when opening a web page. At this time many internet based businesses rely on advertising for their income. However, users are dissatisfied with the presence of ads on websites they visit, since the size of the ad data is often proportional to the actual content ads. This impacts not only on loading web pages and may lead to a file that may potentially be a carrier of the virus and may damage the operating system of the visitor. A system that can overcome the annoying ads will be needed by the user for the convenience of users in using the internet media. To overcome this will be built a system using the pi-hole and Ubuntu operating system
The Development of Personality Ontology Based on the Methontology Approach
Authors: Zakaria Zalmiyah , Kasim Shahreen , Husna Mohamad Hasbullah Nur , Alyani Azadin Ayu , Saleh Ahmar Ansari , Hidayat Rahmat
Published: April 2019

Complex domain occurs when a lot of knowledge overloads and knowledge trek phenomenon appeared with the raise of product complexity and the explosion of knowledge and information.  The knowledge content of complex domain is difficult to organize. One of the complex domain is Fingerprint Fingerprint Personality Solution. However, it is difficult to organize the knowledge of Fingerprint solution since it is a complex domain. Knowledge acquisition also a part of the problem because there is an only little number of Fingerprint certified trainer that expert in Fingerprint solution. The other circumstances are an Fingerprint solution also have the possibility to be extended in future. To solve the following problem, Structured Knowledge is used to structure the knowledge content that will be more effectively organize the content in order to enhance reusable and extendable of the knowledge model. Structured Knowledge contains a wealth information, it can effectively help to carry out the knowledge of the complex domain. There are many ways to express the structured knowledge, Ontology is one of them. In this paper will discuss the development of Fingerprint Ontology based on METHONTOLOGY approach.
Fuzzy Model Tahani as Decision Support System for Employee Promotion
Authors: Abdullah Dahlan , Djanggih Hardianto , Suendri S , Cipta Hendra , Nofriadi N
Published: April 2019

Human resources within organization is very important to support the progress and quality of companies in achieving goals. Increased position is a very important factor for employee career planning and also to rejuvenate a position of occupation to be occupied by someone who has appropriate criteria to occupy a proposed position based on objective assessment and appropriate criteria variables. For that required a system that can assist leaders in making decisions for promotion of positions in accordance with what is expected from the company, it is necessary to design a decision support system using fuzzy database model Tahani method to assist in promotion.
Development E-Learning to Improve Student Activity with Technological Pedagogical and Content Knowledge
Authors: Setuju S , Rahmat Setiadi Bayu , Ratnawati Dianna , Widowati Asri , Wijayanti Astuti , Bintoro Johan Arif , Robiasih Hasti , Nurdiyanto Heri
Published: April 2019

Industrial era 4 is the era with digitalization in various fields, including education. The need for e-learning based learning is essential to develop. The development of learning with TPACK framework (Technological Pedagogical and Content Knowledge) through learning e-learning in this research is designed by using Edmodo application. The purpose of the learning development is to internalize the technology into pedagogic, teaching materials and knowledge packed with online learning. The development model uses the Research and Development design of the 4-D model. Stage 4-D includes: define, design, develop and disseminate. The results showed that the model of online learning for the learning media course could increase the learning activity and the students can learn independently with the existing technology.
Automatic Blood Pressure Detector Using Arduino to Measure Blood Pressure in Indonesian People Age 19-27 Years Old
Authors: . Ratnadewi , Faizal Ramdhani Mohammad , Kurniasih Nuning , Dwi Putri Lusi , . Parwito , Abdullah Dahlan , Listyorini Tri , Ilham Bakhtiar Muhammad , Freedom Nanuru Ricardo , Rahim Robbi
Published: April 2019

No doubt every person wants to be healthy in order to move well. One of the health conditions to note is to keep blood pressure. many people sick one cause is high blood pressure. there are two methods of measuring blood pressure ie invasive and non-invasive. using the oscillometric method the measurement can be performed automatically, with the help of a piezoresistive pressure sensor connected to arduino mega 2560. so that the measurement data in the form of name, age, and blood pressure can be stored on the SD card that can be read again if needed. In this research the difference between the systolic or diastolic values of blood pressure reading with analog devices compared with automatic blood pressure reading tool and obtained that the average difference of 3,265 mmHg for systolic value and 6,165 mmHg for diastolic. Then this difference is used in the calibration process so that the result of automatic blood pressure reading tool is better. The result of calibration reading tool has 99.47% - 99.82% accuracy
A semantic approach for text document clustering using frequent itemsets and WordNet
Authors: Patil Harsha , Singh Thakur Ramjeevan
Published: April 2019

Document Clustering is an unsupervised method for classified documents in clusters on the basis of their similarity. Any document get it place in any specific cluster, on the basis of membership score, which calculated through membership function. But many of the traditional clustering algorithms are generally based on only BOW (Bag of Words), which ignores the semantic similarity between document and Cluster. In this research we consider the semantic association between cluster and text document during the calculation of membership score of any document for any specific cluster. Several researchers are working on semantic aspects of document clustering to develop clustering performance. Many external knowledge bases like WordNet, Wikipedia, Lucene etc. are utilized for this purpose. The proposed approach exploits WordNet to improve cluster member ship function. The experimental result shows that clustering quality improved significantly by using proposed framework of semantic approach.
A novel method for copyright protection of digital videos using SWEA and ZPA technique
Authors: Ali Jabir , Prakash Ghrera Satya
Published: April 2019

Digital copyright protection has become an effective way to prove the ownership and protect the multimedia contents from illegal use and unauthorized users. In order to prove the ownership of a video certain security program is embedded in a video and one of the ways of ensuring the ownership of a video is embedding the watermark in a video. In this paper, a new approach to digital video copyright protection, SWEA (Split watermark embedding algorithm) with Zero Padding Algorithm (ZPA) is proposed. With the help of this algorithm, it is hard to know the original pattern of watermark because of SWEA and minimizing the perceptual degradation of watermarked video because of ZPA. Here we are using ‘db1’ wavelet domain for embedding the watermark in the LL sub-band of the original identical frame (I-frame), based on the energy of high-frequency sub-band in an adaptive manner. SCD (Scene changed detection) is used to find out the identical frame (I-frame). The proposed algorithm has undergone various attacks, such as compression, uniform noise, Gaussian noise frame repetition and frame averaging attacks. The proposed algorithm, sustain all the above attacks and offers improved performance compared with the other methods from the literature.
High space efficiency compact chipless RFID tag with equidistance resonances
Authors: Ammar Kholoud , Hussein Amr , Attia Mahmoud
Published: April 2019

Radio Frequency Identification (RFID) technology provides non line-of-sight communication between the reader and the tag. This technology is widely used for various applications such as item tracking, security, access control, health care, short and long-range applications. RFID can be used as low cost data identification technology using radio waves between the RFID transmitter and the RFID receiver. Many attempts are introduced to implement the chipless RFID tags but they suffer from non-equal spacing between resonances which makes it difficult to make the decision. In this paper, compact low cost spectral signature based chipless 8-bits RFID tag is introduced. Multi dual-band resonating circuits with different resonances are used. The operation bandwidth is limited by the second resonance of the resonator. To avoid the presence of harmonics in the operating frequency range, multiple resonators with different shapes are introduced. The proposed tag instead of encoding only one data bit it encodes two data bits providing higher bits/resonator. The proposed tag provides equidistance between resonance frequencies. The tag is implemented on FR4 substrate of dielectric constant =4.4, thickness h=1.6mm and loss tangent δ=0.0018. The scattering parameters  of the fabricated tags are measured using the vector network analyzer (ROHDE&SCHWARZ ZVB 20). The designs of the tags are made using the software package CST MICROWAVE STUDIO.
Wear and Corrosion of Wrought A6061 Aluminium Alloy in DOT3 Brake Fluid
Authors: Ajibola Olawale , Ige Oladeji , Olubambi Peter
Published: April 2019

The twofold impact of wear and corrosion on wrought A6061 alloy in hydraulic DOT3 brake fluid environment was studied. The wear studies were performed on the samples using a developed wear-jig. Weight loss corrosion test method was used to determine the corrosion rate of the wrought A6061 alloy samples immersed in the brake fluid for a total of 1680 hours. From the results of wear tests carried out on the A6061 alloy sample with brake oil, the highest wear value of 5.24x10-7 mg/mm2/cycle (approx.) was obtained from 6 N (approx) force after 130 minutes. The wrought A6061 alloy material demonstrated the highest corrosion rates nearly 3.0 x10-2 mg/mm2/yr within the early 168 hours of immersion in brake fluid. The result is practically lower than the corrosion rate of cast specimen in DOT3 brake oil or some other alloys immersed in other corrosive media that were previously reported in the literature. The results show that small amount of chemical corrosion is sufficient to cause and accelerate mechanical wear of the material in usage.
Comparative effects of corrosion on electroless -nickel plated A6061 alloys in DOT3 brake fluid
Authors: O. Ajibola Olawale , A.Olubambi Peter
Published: April 2019

Aluminium alloys used in automobile brake master cylinder pistons wear by corrosion due to contamination and chemical reaction of the contacting brake fluid. The study investigates the corrosion of electroless-nickel (EN) deposition enhanced cast aluminium alloy master cylinder piston surfaces immersed in hydraulic brake oil. Cast specimens were produced from the as-received wrought A6061 alloy scrap by sand casting. EN plated as-received and cast aluminium alloys specimens were immersed fully in brake oil for 1680 hours and corrosion rates were determined every 24 hours. Test samples were characterised using the hardness tester, atomic absorption spectrometer, metallurgical photo-microscope, x-ray diffractometer; and SEM with EDX attachment. Both surfaces corroded in the order of electroless-nickel plated cast aluminium alloy (ENCA) < electroless-nickel plated as-received aluminium alloy (ENAA) at 0.0235 and 0.0251 rates (mg/mm2/y) results which showed improvement in the corrosion resistance with significant influence of electroless-nickel coating in reducing corrosion rates of aluminium alloy in brake oil.
Review on dynamic group data sharing in cloud environment
Authors: Easwaramoorthy Sathishkumar , Chunduru Anilkumar , Moorthy Usha , B Sravankumar
Published: April 2019

Information sharing or exchange of data within entities plays a significant role in cloud storage. In cloud computing, a robust and practical methodology is developed which can be utilized by cloud users for sharing information among multiple group members in the cloud with lowered maintenance and management costs. Furthermore, a service provider in the cloud does not share data with anyone other than the Trusted Third Party (TTP) sources due to the semi-trusted characteristics of the cloud. In this way, there is no global security mechanism for dynamic group data sharing over the cloud. Subsequently, the Cloud Service Providers (CSPs) can convey different services to cloud users through powerful data centres. Hence, data is secured through the validation of users in the cloud. Meanwhile, CSPs should offer outsourced security assurance for data file sharing. Assuring privacy in data sharing is still a critical issue due to continuous change in cloud users, particularly, for unauthenticated or third party users because of the risk of collusion attacks. However, security concerns turn into a major restraint as outsourcing storage data is perhaps a delicate concern for cloud providers. Additionally, sharing information in a multi-proprietary approach while protecting information and individual security to the data from unauthorized or third party users is still a challenging task as there is a frequent change in cloud members. In this regard, previous studies are reviewed and discussed which are related to dynamic group data sharing using cloud computing.
Backscattering coefficient measurement and land use land cover classification using ENVI SAT ASAR data
Authors: Rao K V Ramana , Kumar P Rajesh
Published: April 2019

The polarimetric SAR data of the space borne sensor, ENVISAT-ASAR (Environmental Satellite - Academic & Science Astronomy & Space Science) has been used for the land use land cover classification of the study area. It was an earth observing satellite operated by the European Space Agency (ESA). Its mission was to observe the earth and monitor critical aspects of the environment such as climatic changes on the earth at the local, regional and global levels. The data set of this sensor is a dual co-polarization amplitude data consisting of HH and VV channels. Initially various incidence angle images such as sigma naught, beta naught and gamma naught have been generated for both HH and VV polarizations. Then the backscattering coefficients of different features such as water, bare soil, vegetation and urban have been calculated. The backscattering coefficient values of the HH polarization are high compared to the values that are obtained with VV polarization. Then the land use land cover classification has been done by implementing different supervised classification algorithms. These classification methods are Parallelepiped, Minimum Distance, Mahalanobis, Maximum Likelihood, Binary Coding and Support Vector Machine. Then the accuracy measurements have been done for all these classification methods. In the present study the accuracy results obtained with the supervised Support Vector Machine classification algorithm are more compared to the accuracy results obtained with the other supervised classification methods.
Multi-key Modified Tiny Encryption Algorithm for HealthCare
Authors: Aradhyamath Sharath , Paulose Joy
Published: April 2019

Healthcare data is crucial in patient’s surveillance. To give the finest treatment to patients the data should be of the best quality. Many security threats affect the integrity and ingenuity of the medical data. In the recent times, medical data can be accessed anytime and anywhere with the help of an overwhelming technology called the Internet of Things (IoT). IoT has numerous applications based on healthcare, however, it facilitates data misuse such as data breach and health care fraud. Sensitive and protected data is stolen and modified by an unauthorized person. Due to these data abuses, it degrades the quality of medical data and service. In this paper, secure data transfer is done in IoT based healthcare to enhance the security of the medical data. Data confidentiality can be achieved using encryption algorithms such as Tiny Encryption Algorithm (TEA) which is lightweight and suitable for resource constraint devices. The results of the proposed system show that the modified TEA overcomes the drawback of the equivalent key and also provides a better security to healthcare data.
Defence Science Journal from 2007 to 2011: a Bibliometric Study
Authors: V Selvavinayagam A , Muthu M , Veerachamy M
Published: April 2019

Bibliometrics is the study dealing with written communication used the statistical measurement of the published article. Bibliometrics studies are on the subject of interdisciplinary and major subject in nature of the science and identify the pattern of publication, authorship and citation analysis. This paper is mainly study about Defence Science Journal publications of articles from the period of study 2007 to 2011 only five years. Totally 410 articles published from prescribed periods also described about author wise, year wise, pagination wise of the articles of this journal.
Review a Low Power CMOS Charge Pump using Power Gating Techniques to Reduce Leakage Power
Authors: N Vengadeswari , Whitin Priscilla
Published: April 2019

In most case, charge pump circuit is designed based on capacitor, where voltage is increased at each stage depending on each stage voltage gain. Major elements are all charge pumps circuits one is Pumping capacitors and diode connected MOS.To increases pumping efficiency is very higher for each stage of charge pump circuits. Pumping efficiency are limiting by two parameters one is parasitic capacitance and threshold voltage. The power dissipated from the circuit can be increased by attain of leakage current .To resist this leakage in the circuits the supply voltage is major concern. To reduce the leakage with the help of power gating technique .Charge pump circuits are to be designed and verified by using tanner t-spice tools.
IoT Based Decision Making System to Improve Veracity of Big Data
Authors: Revathy R , Aroul Canessane R
Published: April 2019

Data are vital to help decision making. On the off chance that data have low veracity, choices are not liable to be sound. Internet of Things (IoT) quality rates big data with error, irregularity, deficiency, trickery, and model guess. Improving data veracity is critical to address these difficulties. In this article, we condense the key qualities and difficulties of IoT, which impact data handling and decision making. We audit the scene of estimating and upgrading data veracity and mining indeterminate data streams. Also, we propose five suggestions for future advancement of veracious big IoT data investigation that are identified with the heterogeneous and appropriated nature of IoT data, self-governing basic leadership, setting mindful and area streamlined philosophies, data cleaning and handling procedures for IoT edge gadgets, and protection safeguarding, customized, and secure data administration.
Prototype to Help Visually Impaired Person in Reading Printed Learning Materials using Raspberry PI
Authors: R Jaichandran , K Somasundaram , Basfore Bhagyashree , I.S Menaka , S Uma
Published: April 2019

This paper presents a prototype to help visually impaired persons in reading printed learning materials using Raspberry PI. Tesseract an open source optical character recognition technique is used extract texts in printed images and converted to audio output using text-to-speech conversion software. Prototype is experimented using printed text pages with various font sizes and line spacing as test cases. Results show that the prototype is better in converting printed texts to speech. However quality of image, font size, and line space affects performance of prototype in converting printed texts to speech..