bluuebunny/crossref_metadata_2025 huggingface dataset:
Dual Security Method for Digital Image using HBV Encryption and Least Significant Bit Steganography
Authors: Susanto Ajib , Moses Setiadi De Rosal Ignatius , Rachmawanto Eko Hari , Sari Christy Atika , Ali Rabei Raad , Wahyu Mulyono Ibnu Utomo
Published: June 2019

This study proposes a combination of two security techniques, namely steganography and cryptography. The proposed steganography technique is LSB because it has advantages in data embedding capacity and message imperceptibility. The LSB technique is very simple and predictable, so to improve message security HBV encryption techniques are applied. HBV encryption is applied to the message before pinning it. HBV encryption is a combination of the Beaufort algorithm and Vigenere cipher so that the message security will be stronger. By combining HBV and LSB encryption, the message can be hidden properly, and its awake. Based on the experimental results, the encryption and embedding process can run well and produce good quality encryption and stego images. Similarly, the extraction and decryption process can run perfectly.
eParticipation of SQA (Service Quality Assessment) in the Clinical Laboratory
Authors: Siswanto J , Putra N D , Minarwati  , Santoso H , Syafrianto
Published: June 2019

Clinical laboratory become one of the most dynamic environments in health services business. Nonetheless, not all clinical laboratories have the same service standards and quality. Service quality can be assessed by consumers/patients served in clinical laboratories. The results of the assessment of service quality can be used as an evaluation and measurement. Clinical laboratories have not been able to format, obtain, process and provide data about the assessment of service quality from the participation of consumers/patients by utilizing information technology. These problems are solved using research methods by adopting Framework participation. The framework consists of 3 levels, such as Participation Areas, Categories of Tools, and Technologies. The result of the research were the eParticipation of SQA application can be used as a tool for format, obtain, process and provide data on the assessment of service quality from consumers/patient’s participation consisting of 14 elements and had to be relevant, valid, and reliable. The benefit of the assessment results can be used to determine out the lack of assessment elements, performance, and considered as a policy for determination material.
Implementation of Object Tracking Augmented Reality Markerless using FAST Corner Detection on User Defined-Extended Target Tracking in Multivarious Intensities
Authors: Nurhadi  , Saparudin  , Adam N. , Purnamasari D. , Fachruddin  , Ibrahim Ali
Published: June 2019

This paper presents a FAST Corner Detection object scanning to improve SLAM technique, which is SLAM, has a weakness in extracting features in the real-world object. The use of User Defined Target and Extended Tracking are for making this work more convenient and reliable. We can trace the object even though the object does not exist, so this improves the function of markerless itself. The use of Raycast is for the make labeling the objects or features in the scanned object. In this research, we executed multivarious intensity to test the FAST Corner Detection to increase function in real world feature extraction and prove it better than SLAM. Then, we got the result where is a brighter condition will get faster recognition. The best environments for augmentation are in the range of 80-190, they took in less than 1 second. On the contrary, the intensity outside of the range such as ≤50 or ≥200, has a deficiency of augmentation. The range of ≤50, there was no augmentation cause of low intensity. For the range of ≥200, we haven’t made measurements as we don’t have the resources yet, but we hypothesize that the object would be corrupt or we may call it was overexposure cause of the intensity is too high. So, this could also lead to augmentation will not occur.
The Prototype of Hand Gesture Recognition for Elderly People to Control Connected Home Devices
Authors: Ayubi Shalahudin Al , Sudiharto Dodi Wisaksono , Jadied Erwid Musthofa , Aryanto Endro
Published: June 2019

Nowadays, the technology development makes a human can create a tool which is used to recognize an object and it becomes a popular technology device. It happens because this tool has an important role for interaction between a human and a computer. One example of this technology usage is to recognize a hand gesture for controlling a home automation system. The existing of this technology creates the change related to how the human controls any tools in a house and it also reduces the complexity including an effort when it is used for controlling. This feature is very useful, especially for elderly people who stay in independent living. This study is going to develop a controller prototype by using FAST (Features from Accelerated Segment Test) algorithm to detect hand gesture for operating the connected home devices. This controller uses an embedded system to translate a command which is created by using the hand gesture of senior captured by the cam for controlling the lamps. The lamps itself are represented as several tools in the house. The observation gives a result that the hand gesture is potential to be implemented as a command for controlling the proposed system prototype in the range which is not far than 1 meter with the percentage average recognition accuracy is almost 80%.
Determination of The Ship Motion Direction with Digital Image Processing on Sea Water Surface to Avoid Collisions
Authors: Fitrawan Alif Akbar , Shodiq Mohammad Nur , Kusuma Dedy Hidayat
Published: June 2019

As the largest archipelagic country in the world, Indonesia has 17,499 islands from Sabang to Merauke. There is a country with an area of water greater than the land area. Data on shipping accident investigations from the National Transportation Safety Committee (NTSC) throughout 2010-2016 of fifty-four accident cases at sea, seventeen of which were accidents caused by collisions on ships in Indonesian waters. This is equivalent to twenty percent of accidents that have occurred, a human error causes as many as 80% of collision accidents from the crew or people in the sea transportation system, and natural factors or machinery cause only a few. The success of this research aims to avoid ship breaking, by giving directions on the direction of the ship obtained by the results of digital image processing. This study proposes a digital image processing model on sea surface using object recognition. It used the morphological operation in the preprocessing stage; this method can remove non-uniform illumination and reflection in sea surface. Then, noise in the image data will decrease. The result of this object recognition will be used to determine the direction of ship movement. Experimental results with our own dataset verify the high efficiency of our proposed method.
Automatic Shooting Scoring System Based on Image Processing
Authors: Widayaka Parama D. , Kusuma Hendra , Attamimi Muhammad
Published: June 2019

Today, many shooting venue that held shooting training used conventional methods to accumulate shooting scores. These conventional methods for shooting training will need more time and resources to do such a task. These paper describes an automatic shooting scoring system based on image processing for live shooting session. A camera is mounted in front of shooting target frame to capture every single shoot image. We use several image processing algorithms such as target ring detection, perspective transform, image subtraction, as well as morphological image processing. Contour detection method is used to perform a perspective transform, obtaining circle diameter and center circle position by using bounding box function by extracting detected contour and bullet hole position.

Our experimental results, show that the accuracy of our method is 91%, based on the experiment by using a tiny circle sticker with a diameter of 7.62mm to simulate as a bullet hole image. We use 10 target sheets which there are 10 bullet hole images using circle sticker in each captured target sheet image.
A Classification of Platelets in Peripheral Blood Smear Image as an Early Detection of Myeloproliferative Syndrome Using Gray Level Co-Occurence Matrix
Authors: Nanda Imron Arizal Mujibtamala , Fitri Zilvanhisna Emka
Published: June 2019

Platelet disease is usually caused by abnormalities of the number or form of platelets, for example in Essential thrombocythemia (one of the groups of myeloproliferative syndrome). The characteristic of ET disease is that if a lot of giant platelets are found as large as leukocytes and cannot be detected using FBC, microscopic examination must be done manually by a clinical pathologist. The classification process begins with image processing techniques on the peripheral blood smear image, then texture features are taken using the Gray Level Co-Occurrence Matrix ( GLCM) which consists of ASM, IDM and Entropy features.This feature is input into the classification system using Backpropagation. The test results, Backpropagation was able to accurately identify cells in BG images, namely leukocytes 91.84%, normal platelet cells 92.86% and giant platelet cells 84.69%. Whereas in the AL image, the accuracy of leukocyte cells is 90.82%, normal platelet cells are 96.94% and giant platelet cells are 87.76%. The average accuracy of the Backpropagation method at 84.69% BG images and AL images was 87.76%. So this classification system is able to be used as a tool for doctors or medical analysts to speed up the process of early detection, especially in myeloproliferative syndrome patients.
Dysgraphia Identification from Handwriting with Support Vector Machine Method
Authors: Sihwi Sari Widya , Fikri Khoirul , Aziz Abdul
Published: June 2019

Dysgraphia, a handwriting disorder in which a person has difficulty in writing at any level such as slow writing or unreadable letter. Many research has done to study the characteristics and to diagnose it for early prevention in children. In this study, we try to identify dysgraphia among children and divide it into 4 class, normal, light, moderate, and severe. Therefore an android application with embedding a handwriting recognition tool was created to collect the data from elementary school students that have dysgraphia and those who don’t. We use Support Vector Machine in classifying the data to identify dysgraphia because SVM has the ability to learn well with limited data compared to ANN on many occasions. The result, after using three different kernels in SVM such as Linear, Polynomial, and Radial Base Function kernel (RBF), shows that the RBF kernel produces better average accuracy and Cohen’s kappa value compared to Linear and Polynomial kernels, where the average accuracy of each kernel is 78.56% for Linear, 81.40% for Polynomial, and 82.51% for RBF.
Application of Transfer Learning Using Convolutional Neural Network Method for Early Detection of Terry’s Nail
Authors: Yani Muhamad , Budhi Irawan S, Si., M.T. , Casi Setiningsih S.T., M.T.
Published: June 2019

Nails are one part of the fingers and toes, by observing the shape and the condition of the nails, health expert can find out information about a person’s health. However, this sometimes not realized and ignored by society, even though many diseases that can be seen through the condition of the nails and the shape of the nails are one of the systemic diseases. This research was conducted to detect abnormalities in the nail based on digital images. The detected abnormalities are terry’s nails in the hand which can represent systemic diseases, while the method used is the Convolutional Neural Network (CNN) method. This research uses Tensorflow Inception-V3 architecture model with the transfer learning method where the results of the experiments that have been done are obtained with 95.24% accuracy.
License Number Plate Recognition using Template Matching and Bounding Box Method
Authors: Kusumadewi Ira , Sari Christy Atika , Moses Setiadi De Rosal Ignatius , Rachmawanto Eko Hari
Published: June 2019

Recognition of vehicle number plates is very important in the field of transportation security systems. Template matching is one of the most popular techniques used for number plate recognition. This algorithm works by evaluating the image pattern that will be recognized and then comparing it with the image pattern in the template. A number plate is an object in an image that has many characters which usually consists of numbers and letters. Character recognition cannot be done simultaneously in an image. A number plate object in the image needs to be done early processing, normalization, and segmentation to recognize the character. While to separate each character, a bounding box algorithm is used. This technique is relatively simple and has fast computing. So this study examines a combination of template matching and bounding box methods to detect Indonesian car license plates. Based on the tests that have been done, the accuracy reaches 80%.
Use of amplified expenditure expenses using the calculation services scheme
Authors: Pitta Sundhar singh , Cheepurupalli Raghuram , Neelima A
Published: June 2019

An information analyst can study the ability of social achievement according to countless user site records by evaluating multiple circular range queries. More specifically, the zeros of the previous search, especially dealing with system comparisons or encrypting command-saving files, can be expanded and exploited to allow exploration of spatial data between axes and rectangular parallels. While most search file encryption schemes focus on common SQL queries, for example, keyword queries and logical queries, two searches have been achieved in particular from the search for geometric range to encrypted spatial data. Our main contribution to the fact that our design is in fact a general approach, can support several types of to the axis. With the rapid development of social systems and location-based services and travel using a laptop, the amount of data that people create every day continues to grow dramatically. It is no longer easy or profitable for companies to keep a large amount of data in their area. More specifically, it lacks a general approach, which can accept various types of engineering queries on a large scale in encrypted spatial data, regardless of their specific geometric shapes. Our design has great potential for use and application in large applications, for example, location-based services and spatial databases, requiring the use of sensitive spatial data based on robust privacy.
Optimizing cloud health Care Data Transmissions using Fog
Authors: Valeti Nagarjuna , Ceronmani Sharmila V
Published: June 2019

Cloud computing has been dominating enterprise data management solutions for a while now but still requires human-computer interface agents to govern and facilitate services and healthcare domain is no exception. Fog Computing the latest buzz word often considered an extension to Cloud computing enables smart pervasive devices to directly interact with the cloud while simultaneously upholding Quality of Service (QoS) metrics such as performance and security. For smooth transition of communication services in health care computing domain, prior approaches suggested a data collection protocol to support autonomic fogging between medical devices and cloud storages. Although efficient and automated this approach is facing a bottleneck scenario leading to data retransmissions when health data spikes exponentially. To address this problem we propose a dynamic buffering algorithm that ensures the optimized queue and power management scheme within the medical user’s device to hold the data in the queue for updating, to prevent queue over flows and thus reducing important health data losses when involved entities are offline. To improve the performance of the proposed system a new sensor technology is adapted to the system. This approach is a first of its kind approach in health care driven fog computing that can offer smooth automated data transitions.
Ensemble feature analysis classifier for sentiment analysis using convolutional neural networks
Authors: Arunasafali M , Suneetha Chittineni
Published: June 2019

Text mining is the worldwide fast growing domain in research. Sentiment analysis is the one of the sub domain in the text mining to extract the sentiment from the various texts available in the internet and from other sources. Various existing systems are implemented to get the sentiment analysis with the migration of natural language processing algorithms (NLP) and artificial intelligence algorithms.Various issues identified in the text mining with sentiment analysis are solved very rarely. According to the previous research, deep-learning and artificial intelligencebased TSA prediction method that comprises of a stacked auto encoder (SAE) model that is used to learn generic linguistic and text semantic features But the system not reached up to the mark. In this paper, Ensemble Feature Analysis Classifier to incorporate the new domain dimension within the rating and text based sentiment analyzer. Implementation of this proposed prototype validates our claim and highlights our efficiency in supporting multiple dimensions during sentiment analysis.
Crypto-Stego Technique for Secure Data Transmission
Authors: Bandela Homer Benny , Ganesh Babu M. , Deepthi Donavalli Venkata Vidya
Published: June 2019

As days are passing, technology is taking its force towards its smartness. But there are some devices which are to be modified for better security results. Cryptography is a technique used for sending secret messages and Steganography is a process related to image. In this paper, we consider Cryptography and Steganography for secure transmission of secret message. The technique used in this paper is to place an image within another image. Encrypted data or Secret data is placed on an image based on pixels and that image is placed as background for other image. When the receiver receives that image he/she thinks it as a normal image but it contains a hidden message and decrypted for original image.
RETRACTED: New classification scheme for autoclave security data sets using data mining patterns
Authors: Srinivas Chalasani , Rudraraju Sri Krishna Chaitanya , Jayamanasa Vemuri
Published: June 2019

We consider gaining from information of variable quality that might be gotten from various heterogeneous sources. Because of rich semantics of the information and absence of from the earlier learning about the investigation undertaking, intemperate disinfection is frequently important to guarantee security, prompting huge loss of the information utility. Security Preserving Data Mining (PPDM) helps to mine data and uncovers designs from extensive dataset shielding private and touchy information from being uncovered. With the approach of shifted advancements in information gathering, stockpiling and preparing, various security protection strategies have been created. We propose a suitable security shielding K-infers gathering plan that can be viably outsourced to cloud servers. The present work grants cloud servers to perform packing particularly completed encoded datasets, while accomplishing similar computational many-sided quality and precision contrasted and grouping over decoded ones. Guide Reduce approach likewise consolidated in this paper, which makes this work extraordinarily fitting for Map Reduce condition. Differentially security approach guarantees the aftereffects of inquiries to a database, which will grow the flexibility and time capability over existing techniques. Interestingly of elective arrangements, dp- GAN features an arrangement of key highlights. It gives hypothetical security ensure by means of upholding the differential protection standard. It holds attractive utility in the discharged model, empowering an assortment of generally unthinkable investigations; and above all, it accomplishes reasonable preparing adaptability and steadiness by utilizing multifold streamlining techniques. We propose a technique for changing the learning rate as a component of the heterogeneity, and demonstrate new lament limits for our strategy in two instances of premium. At long last, we assess the execution of our calculation on genuine information.
Multi-core with ht technology to solve data lake complex problems
Authors: Sreenu K , Reddy B R S
Published: June 2019

Technology is taking its lead towards growth and it should be timely used properly for complex problems. Everything is available with us and it should be planned properly for better technology and its usage. This paper deals with core technology that will save time and cost for high resolution images. Which are used for movies, virtual games and simulations? Multi-cores are not new to the society; they are taken their shape into different transitions. Now we are in dual core technology with more processors and speed. We can utilize the cores properly if we have software technology. Main objective of this paper is to utilize cores proper for specific work with interrelating them. Finally they have to be organized properly with governance of the software. For performance HT Technology is used to select core for specific job. By selecting different cores we can gain performance, same way increase the speed and high resolution of images.
A novel artificial intelligence program testing service (ai-pts) model
Authors: Deepthi Kothapalli Chaitanya
Published: June 2019

Today’s world is most dependent upon computer systems. Artificial Intelligence is also growing rapidly. We can see that vast growing field in computer system is Artificial Intelligence. We can use artificial intelligence applications for program testing service. Old process contains errors and they are corrected by end user himself. Artificial Intelligence applications can be used directly and wait to provide inputs. In between if any errors are modified by the software. This research paper focuses on AI-PTS model. Artificial Intelligence applications itself corrects the errors and take the program to run-time. We use decision trees, searching patterns, database training grammar.
New distributed routing algorithm in wireless network models
Authors: Shariff Vahiduddin , Aluri Yuva Krishna , Venkata Rami Reddy Ch
Published: June 2019

The wireless sensor network present all sensor hubs to produce an equal proportion of information packages in a WSN. The centers around a sink need to exchange a more noteworthy number of groups and will all in all fail miserably sooner than various focus focuses in light of the way that in vitality usage of sensor focus focuses in system lifetime can be drawn out by altering the correspondence stack around a sink. This paper introduces another way to deal with tackle this issue by thinking about the psychological capacity of hubs. Most importantly, we misuse the directional gathering receiving wires to propose a directional gathering two-advance recreation routing plan to set up multicast tree for remote multi-jump networks. we think about that terminals make utilization of cutting edge energy collection transmission/gathering methods, for example, maximal proportion consolidating gathering of redundancy codes, or on the other hand information accumulation with rate less codes. Aggregate methods increment communication dependability; diminish energy utilization, and abatement inactivity. Our first calculation is incorporated, expecting that routing calculations should be possible at a focal processor with full access to channel state information for the whole framework. We likewise plan two disseminated routing calculations that require just nearby channel state information. essentially, given us to characterize two recursive calculations of the way a chance to weight utilizing the moderate way weights to each transfer, either from the source (forward) or from the Destination (in reverse). In particular, in the task exhibits a Weight Based Synchronization (WBS) conventional that utilizes the extent of synchronized hub groups as an impetus for synchronization. We outline these outcomes by concentrate the base energy routing issue in static aggregate multi-bounce networks for various sending techniques at transfers. Proposed framework empowers noteworthy performance through the most limited way routing.
Computer business organization on cloud platform
Authors: Yallamanda C , Ramaiah Chowdary P
Published: June 2019

In 20th century, the era of digital marketing in engineering evolved rapidly, among those social networks, mobile terminology. Analytics and cloud computing makes vital functioning think technology. As per the latest surveys suggests that one among three is using the social networking. As coming to mobile technology, 19th century innovative invention is mobile machine and their equipment that are making major work in the human life. Such that the evaluation of this type of equipment is really make more sense. The change in business marketing the use thinks is cloud computing. It’s making more interaction with the peoples. To making these type of cloud business make more profit to the vendor as well as the more useful to the consumer.
Providing an adaptive setup for media-content sources.
Authors: Srinivasa Rao D. , Kuchipudi Rajkamal. , Sudhakar Ch.
Published: June 2019

Cloud computing provides a versatile framework that media content suppliers may use to procure spilling sources that match the interest. Media content suppliers are charged for the amount of sources distributed (saved) inside the cloud. Most of the current cloud suppliers utilize a costs demonstrate for that saved sources that is reliant on non-straight line time-rebate levies. This sort of costs plan offers extraordinary rebates depending non-directly around the day and age where the sources are saved inside the cloud. Media spilling programs have recently pulled in a great deal of clients on the web. Utilizing the production of these transmission capacity concentrated projects, it’s monetarily inefficient to supply spilling conveyance with ensured QoS depending just on focal sources in a media content supplier. Inside this circumstance, a totally open issue is to choose both the right amount of sources saved inside the cloud, and in addition their reservation time with the goal that the financial expense around the media content supplier is limited. The results in our factual assessments and reproductions uncover that the proposed recipe extensively eliminates the financial cost of resource portions inside the cloud as in correlation with other customary plans. We exhort a simple - easy to apply - equation for resource reservation that maximally abuses marked down rates offered inside the taxes, while verifying that adequate sources are held inside the cloud. In accordance with the guess of enthusiasm for gushing limit, our equation is precisely made to forestall settling on wrong resource allotment decisions.
Re-design of smart homes with digital twins
Authors: Gopinath V , Srija A , Neethu Sravanthi C
Published: June 2019

One of the key transformations in the epoch of the Internet of Things(IoT) and industry innovation is Digital twin. The top trending technologies like Machine learning, artificial intelligence, Cloud Computing platforms, Big data architectures, Software analytics and the Internet of things(IoT) are integrated and used by a digital twin concept in an immense way which changes the IT business productivity and reduces the cost of investment. Digital Twin is a flourishing tool which integrates the both physical and virtual scenarios/worlds. This paper presents the re-designing solution for Smart homes using the digital twin paradigm. The introduction and the concept of this technology are introduced first, and then presented a sophisticated smart home architecture with digital twin. At last we performed experiments on this digital twin architecture and compared with normal IoT implementations. In this Whitepaper, we reviewed the concepts of Digital twin technology, IoT and re-designing idea for building Smart Homes.
DATA MINING USER BEHAVIORS IN MOBILE ENVIRONMENTS
Authors: Banothu Narsimha , Sastry J S V R S
Published: June 2019

Mining client practices in portable situations is a developing and imperative theme in information mining fields. Past inquires about have consolidated moving ways and buy exchanges to discover versatile consecutive examples. Be that as it may, these examples can’t reflect real benefits of things in exchange databases. In this work, we investigate another issue of mining high utility versatile consecutive examples by coordinating portable information mining with utility mining. To the best of our insight, this is the primary work that joins versatility designs with high utility examples to discover high utility portable consecutive examples, which are portable successive examples with their utilities. Two tree-based strategies are proposed for mining high utility versatile successive examples. A progression of investigations on the execution of the two calculations are led through trial assessments. The outcomes demonstrate that the proposed calculations convey preferred execution over the cutting edge one under different conditions.
DESIGN OF PROBABILISTIC GRADIENT DESCENT BIT-FLIPPING USING LDPC CODES
Authors: Sridevi Ms.Ch. , Sravanthi Mandala
Published: June 2019

This paper manages the equipment usage of the as of late presented Probabilistic Gradient-Descent Bit Flipping (PGDBF) decoder. The PGDBF is another kind of hard-choice decoder for Low-Density Parity-Check (LDPC) code, with enhanced blunder adjustment execution because of the presentation of think arbitrary annoyance in the figuring units. In the PGDBF, the irregular bother works amid the bit-flipping venture, with the target to maintain a strategic distance from the fascination of alleged catching arrangements of the LDPC code. In this paper, we propose a capable mechanical assembly organizing which limits the favorable position overhead expected to execute the sporadic aggravations of the PGDBF. Our organizing relies on the usage of a Short Random Sequence (SRS) that is imitated to completely apply the PGDBF loosening up standards, and on an improvement of the most mind boggling pioneer unit.
Rule-based chabot for student enquiries
Authors: Singh Jagdish , Joesph Minnu Helen , Jabbar Khurshid Begum Abdul
Published: June 2019

Conversational agents, or chatbots, refer to computer programs that conduct conversations and deliver a natural language interface to its users. Due to the significant foothold messaging applications have begun receiving, chatbots have spawned a new revival and gaining vast popularity. The focus of this paper is to present the implementation of a rule-based enquiry chatbot that is designed exclusively toward students of Asia Pacific University (APU). The implemented chatbot known as ‘APU Admin Bot’ intends to provide students with a quicker solution to resolving their queries instead of heavily depending on the administrative offices. Relying on the rule-based approach of pattern recognition, certain words, phrases and even actions trigger an entire set of responses from the chatbot. Built entirely from the Chatfuel platform and hosted on Facebook Messenger, the implemented chatbot is reliant on a code-less authoring tool and a messaging platform, instead of traditional programming and architectural structures.
Design and development a first-person puzzle game based on time-travel game mechanics
Authors: Sim Adrian , Khuan Chen Tet , Islam Md Baharul
Published: June 2019

Due to the availability of advanced technology in graphics software and hardware, human-computer interaction is receiving considerable research attention in past few decades, particularly game-based interaction. To our best knowledge, very limited first-person puzzle games released in video game market in recent years. In this paper, we present a firstperson puzzle game using the concept of time-travel game mechanic. Firstly, we have designed a set of 3D models and game level using Autodesk 3D Studio Max. We design four puzzles including brick wall, slide, car track, and exit the house/room. Then, a cross-platform game engine, namely Unity utilized to develop the First-Person Puzzle (FPP) game based on changing the timeline past, present, and future. We perform a set of experiments to validate our game that ensures all features are working in gameplay. The user acceptance test proves the performance of our system is better than the state-of-the-art first-person puzzle games.
A COMBINATORIAL APPROACH TO DECIDE INITIAL ROOT VALUE FOR THE SOLUTION OF NON-LINEAR SYSTEM OF EQUATIONS
Authors: Ramaiyan Gananathan , Sulaiman. S.M , Irene Hepzibah. R
Published: June 2019

This study aims at developing the real root of an algebraic or a transcendental equation based on non-linear model and a combinatorial numerical approach for solving nonlinear equations. The introduction of Bisection, False-Position and Newton–Raphson methods to identify the real positive root of an equation which is provided here. The rate of convergence is fastest in Newton–Raphson method due to the quadratic convergence compared with the other two iterative methods. We have applied here the three iterative methods in solving non-linear equations in MATLAB environment and compared the outcomes of results as well as geometrically also. Finally, an illustrative algebraic example is discussed and the MATLAB outputs are provided to check the validity of the new approach.
Active Noise Reduction using LMS and FxLMS Algorithms
Authors: Ravinchandra Krishna A/L , Ka Fei Thang , Chee Yong Lau
Published: June 2019

In recent times, the use of industrial Heating, Ventilation, and Air Conditioning (HVAC) systems has had a substantial increase due to various social-economic reasons. Various studies are conducted to address the concerns of noise generated by HVAC systems in particular from compressors; noise pollution affects the environment we live in and should therefore be mitigated as much as possible. For this purpose, an active noise reduction system is introduced to help alleviate noise levels at both low and high frequency ranges of the HVAC system. This paper demonstrates an implementation of Active Noise Reduction (ANR) system using Least Mean Square (LMS) and Filtered-x Least Mean Square (FxLMS) algorithms, which have been tested based on simulated noise scenarios. A comparison between both algorithms will be performed based on simulation of different frequency ranges which closely resembles the operating scenario of the industrial HVAC systems. Also, different values of step-size affecting the processing of the ANR system during the convergence rate and stability state will also be investigated and discussed.
Protection System for Industrial Motors using Vibration sensor and Arduino Microcontroller
Authors: Chelvarajah Jagadiswaran , Lakshmanan Ravi , Selvaperumal Sathish Kumar
Published: June 2019

The core aim of this research is to develop a protection system for the industrial motors by analyzing vibration and temperature parameters and to automatically reduce the operating speed of the motor with an alarm indication when the threshold of both the parameters are exceeded. All the algorithms for the functionality along with the GUI of the system is built using LabVIEW. The automated speed control of the system is done by integrating a servo motor with algorithms built which acts based on the output of both the sensing parameters. The maximum speed of the motor is 1300 rpm and based on the testing carried out, it is observed that the speed is successfully reduced upto 500 rpm when with five speed range in between the maximum and minimum speed. The type of motor used in this project is a single phase induction motor. Placement of the vibration is set to be on top of the housing of the motor which provided the highest sensitivity based on testing carried out and the vibration rate generated by the motor operating at maximum rpm on no load was 0.47g where ‘g’ is the unit represented by the vibration sensor for amount of acceleration acted upon the sensor. In a nut shell, the functionality of the system was successfully achieved based on the objectives and overcoming the drawbacks from past research works.
Iot based car parking management system with an application program interface
Authors: philip prosper , selvaperumal sathish kumar , lakshmanan ravi , nataraj chandrasekharan
Published: June 2019

With the population on the rise, urban areas congestion continues to become a major transportation problem. As number of cars increases, the demand for parking spaces rises, thus causing insufficient availability of parking spaces. This paper presents a new cloud based parking management system implemented on the Internet-of-Things technology network architecture that increases user convenience and parking management.Drivers are able to view parking availability online, and proceed to reserve a parking space. The parking system is designed based on zone control architecture using NodeMCU, thus allowing easy management and implementation. An eight hexadecimal character is generated for both entry and exit access codes, and sent to the driver’s email and mobile phone via SMS. Parking information are relayed and stored in the server using RESTful API implemented using Laravel PHP technology. Parking spot information like entry and exit times can be requested through the API.
Technology Foresight In The Virtual Learning Environment in Malaysia
Authors: Shanmugam Kamalanathan , Zainal Nur Khairunnisha , Gnanasekaren Chandramohan
Published: June 2019

The government has adopted the Virtual Learning Environment (VLE) into the primary and secondary education system via the 1BestariNet project. Since this project is expected to consume more than RM 4 billion, it is vital to do technology foresight to identify the emerging technologies which can be integrated to the VLE system. Besides, the emerging technologies must also be ranked accordingly so that the government can be made aware from the most practical technologies to the least for future study or procurement processes. This will indirectly help to identify technologies which are becoming obsolete or not relevant in the digital education field. This will certainly help the government to budget wisely and avoid any wastage or ill-spending.
Ideation framework of block chain adoption in Malaysia higher education
Authors: Eaganathan Umapathy , Indrian Veeramani Vijai , Nathan Yogeswaran
Published: June 2019

Cryptocurrency in blockchain technology shapes secure transactions in theideology of distributed networking systems. The current trend in this global era pertaining to follow blockchain in varioius fields and it plays vital role in financial accounting, educational sectors and research areas. In educational sectors the most challenging part is difficult in record keeping by using a single database system and its maintenance. However, several researches explored the maturity of solving financial problems using blockchain has achieved the expected outcome. Hence this paper mainly focused on the ideation framework of blockchain technology adoption in higher education to increase the efficiency of distributed system for providing betterreliability and security. Here study has been conducted on various universities based on blockchain technology adoption in education also few popular ranking universities considered under the literature review. In future the proposed framework will be useful for all higher learning educational institutions in Malaysia.
A narrative Non-Invasive Diagnostic loom Based by the side of correlation of Nasal set Rhythm in addition to customary Three Radial Pulses Measurement
Authors: Muthukumaran E. , Deny J. , Perumal B. , Suseendran G. , Akila D.
Published: June 2019

This paper manages a totally one of a kind non-obtrusive logical analytic methodology bolstered connection of nasal cycle musicality with 3 spiral heartbeats. In Siddha prescription, one in all the ordinary Asian country frameworks of medications especially in south India this standard is extra-normal and fundamental for beginning screening in the assignment. Fundamental order of infections is inexactly characterized by these standards. Indeed, even advisors distinguish the exact remaining of ailments like a place, organs influenced, level of affectionateness is communicated by the feeling of measure the over parameters. In any case, these needs extra data, apply and learn. Besides, the framework wasn’t all around perceived because of the absence of logical approval. Nasal cycle is surveyed as Right foremost naris (Pinkalai) prevailing stream and Left front naris (Idakalai) overwhelming stream bolstered the presence of a prevalent stream, particularly front naris. A case if the stream is similarly appropriated in each the foremost naris is comprehended as Sulumunai. Next vital parameter is the feeling of a heartbeat. The heartbeat is felt at 3 neighboring focuses over the blood vessel near the radiocarpal joint inside the request of Vatha beat, Pitha heartbeats and Kapha beat. Amid this venture, subjects were ordered into 3 groups bolstered prevalent nature of 3 very surprising heartbeats and each bunch is identified with the character of nasal cycle. It’s learned that there exists the most time of the power of right front naris stream exists for the subjects with prevailing pitha heartbeat and transcendence of left foremost naris stream exists for the themes with predominant Kapha heartbeat. While for the themes with prevailing Vatha heartbeat gangs transcendent stream each in right likewise as in left front naris upheld the unwellness kind.
Frequency reconfigurable lte antenna with u shaped open end for portable wireless devices
Authors: Bhaskar Reddy Y V , Prasad A M , Veeraswamy K
Published: June 2019

In this paper, a frequency tuning method for an U-shaped slot antenna for long term evaluation (LTE) wireless communication devices is presented and the performance of the antenna (return loss, total and radiation efficiencies…etc) is reported. The lower operating frequency of the antenna (700 - 960 MHz) is switched with different inductor loadings from 110 nH to 30 nH. The inductor component loads the U-slot antenna and thus enables to tune the frequency of low band (700 - 960 MHz). Higher bands (1710 - 2700 MHz) of the antenna remain unchanged with different inductor loadings. The impact of the inductor position is also investigated and the results are reported. The antenna presented in the paper is comparable with that of Cho-Kang Hsu’s publication. However, in Chos publication, only one low band is covered. In our design, all of existing commercial LTE frequency bands (Band 17 - Band 7) used in typical mobile devices are covered by the proposed antenna.
Permafrost-carbon mobilization in Beringia caused by deglacial meltwater runoff, sea-level rise and warming
Authors: Meyer Vera D , Hefter Jens , Köhler Peter , Tiedemann Ralf , Gersonde Rainer , Wacker Lukas , Mollenhauer Gesine
Published: June 2019

During the last deglaciation (18–8 kyr BP), shelf flooding and warming presumably led to a large-scale decomposition of permafrost soils in the mid-to-high latitudes of the Northern Hemisphere. Microbial degradation of old organic matter released from the decomposing permafrost potentially contributed to the deglacial rise in atmospheric CO2 and also to the declining atmospheric radiocarbon contents (Δ14C). The significance of permafrost for the atmospheric carbon pool is not well understood as the timing of the carbon activation is poorly constrained by proxy data. Here, we trace the mobilization of organic matter from permafrost in the Pacific sector of Beringia over the last 22 kyr using mass-accumulation rates and radiocarbon signatures of terrigenous biomarkers in four sediment cores from the Bering Sea and the Northwest Pacific. We find that pronounced reworking and thus the vulnerability of old organic carbon to remineralization commenced during the early deglaciation (∼16.8 kyr BP) when meltwater runoff in the Yukon River intensified riverbank erosion of permafrost soils and fluvial discharge. Regional deglaciation in Alaska additionally mobilized significant fractions of fossil, petrogenic organic matter at this time. Permafrost decomposition across Beringia’s Pacific sector occurred in two major pulses that match the Bølling-Allerød and Preboreal warm spells and rapidly initiated within centuries. The carbon mobilization likely resulted from massive shelf flooding during meltwater pulses 1A (∼14.6 kyr BP) and 1B (∼11.5 kyr BP) followed by permafrost thaw in the hinterland. Our findings emphasize that coastal erosion was a major control to rapidly mobilize permafrost carbon along Beringia’s Pacific coast at ∼14.6 and ∼11.5 kyr BP implying that shelf flooding in Beringia may partly explain the centennial-scale rises in atmospheric CO2 at these times. Around 16.5 kyr BP, the mobilization of old terrigenous organic matter caused by meltwater-floods may have additionally contributed to increasing CO2 levels.
The Characterization of Green Materials of Moringa oleifera Leaf Powder (MOLP) from Madura Island with Different Preparation Methods
Authors: Susanto Hendra , Taufiq Ahmad , Sunaryono  , Imam Mawardi Ahmad , Hariyanto Yuanita A , Nicholas Gerry A , Tri Yunisa Dinda , Rufiandita Fahdina , Faris  , Nizarghazi  , Alifi Gufron , Lita Neldya P , Sinta Dewi M , Sumardi
Published: June 2019

Recently, the exploration of biomaterials offers a potential property as the essential target for advanced bioengineering and its application. The local biodiversity of the Indonesian archipelago, Moringa oleifera grows and is spread quickly in the Madura island. Moringa oleifera ingredients show to be promising biodiversity for green materials development particularly in biomedical engineering. Importantly, Moringa oleifera leaf powder (MOLP) consists of some essential minerals including potassium, calcium, magnesium, sodium, iron, manganese, zinc, copper, and phosphor. However, it still lacks information about the exact minerals content within this local Moringa. This study aimed to characterize the basic minerals compound in the dried leaf or Moringa leaf powder (MOLP) from Madura Island varieties. In this study, two samples of Moringa leaf powder (MOLP) were used, and the mineral content was measured by X-ray fluorescence spectroscopy (XRF) analysis. Both samples were collected from the conventional/traditional dried method and advanced preparation. Significantly, the essential pattern of minerals concentration was found in both Moringa leaf powder (MOLP) samples. The higher level of calcium, potassium, copper, zinc, and sulfur was observed while the lower level of iron, phosphor, and magnesium was recorded by modern method. On the other hand, the different data were reported from conventional leaf powder preparation which was the higher-level minerals were dominated by calcium, potassium, zinc, copper, and iron while the lower concentration of phosphor was found. Hence, the baseline data of minerals levels provide primary information for the future development of these green materials related to the medical application and nanomaterials synthesis.