Asian Journal of Convergence in Technology
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SpaceX: The Unreal Reality
Get PDFThe project aims in designing a simulation which will be operated on Android and IOS mobile comprising of gyroscope. The interactive simulation of ‘SpaceX: The unreal reality’, is demonstrated in our smartphone using coordinative combination of computer game and augmented reality. Here within the project the VR Box 2 is employed to look at the simulation of computer game with Gaze Interaction and Virtual Buttons are to interact in Augmented Reality. Android and iOS is that the software stack for mobile devices that has an OS , middleware and key applications. Gyroscope present within the device is employed to detect the orientation that's to augment the objects in world and consider through virtually designed world. Additionally , Unity plays a key role in developing the appliance providing vast plugins to embed AR and VR technologies and also provide cross platform applicability. Augmented reality is that the mixture of video game with world , using computer generation layers to enable us an enhanced interaction with reality. This is generally done through applications, (for example, Pokemon GO), however can likewise be utilized for games, driving, and significantly more. Computer game , on the other hand, could also be a totally artificial, computer-generated simulation of a real-life experience. This typically required the use of a video game headset, like Oculus Rift or HTC Vive, so on to completely immerse the user. This project contains various user interaction by means of virtual buttons, gaze interaction and speech recognition The project eventually provides the Mixed Reality Simulation combining both AR and VR technologies and depicts the vision of Elon Musk’s Mission of SpaceX to colonize Mars
Pipeline Architecture for N=K*2L Bit Modular ALU: Case study between current generation computing and Vedic computing
Get PDFThis paper describes a design architecture that performs mathematical operations using Vedic sutra for upward compatibility in pipeline manner. In spite of increasing the area, performance and reducing power, Vedic architecture have observed to be inherently compatible with higher efficiency for pipeline architecture. However Vedic architecture leads to additional flexibility starting from 2-bit base modules to 8-bit modules (L=1,2,3) and pipeline can be compactable to any base modules for any given length.
Many researchers proposed arithmetic algorithms at simulation level using vedic sutra. These algorithm have been evaluated with better performance, area and speed. The literature has been widely found to be towards individual arithmetical operators like multiplier, square and cube and so on. A consolidated computing architecture, especially N-bit ALU is yet be realized Generalized N-bit ALU, can always be realized using pipeline modular architecture. The proposition is on realizing N-bit using ‘2L’ as base modules using ‘K’ modules in pipelining. The authors have extensively verified modular architecture for 4-Bit modules for 16 bit and 32 bit pipelined operations. Individually multiplication using Urdhva Tiryakbhyam, division using Dhwajanka sutra, square using Dwandwayoga sutra. MAC unit which involves multiplication algorithms used in FFT and IFFT using sutras of Vedic mathematics and it is possible to achieve reduce version interms of speed and delay, compared to different generations of ALU.
The authors are now exploring N-bit ALU architecture FPGA implementation using Vedic sutras with flexible modular pipeline architecture and mainly targeted for Digital Signal processing applications.
 
Generation of a 3D printed brain model from MRI scan data to assist in Brain Surgery using open source tools
Get PDF The potential of medical 3D printing for improved patient treatment attained recognition after the MRI (Magnetic Resonance Imaging) technology got invented almost 30 years ago. Further development in this technology focused on providing enhanced quality images, speed and patient comfort. This project work aims to convert the MRI scan data of brain into its equivalent 3D Model using open source tools, which provide the facility of improved processing, and this in turn, aids in converting the same into a sliced model and then 3D Prints it using Fused Deposition Modeling technique. This helps to generate physical, patient-specific 3D models of the brain. The benefits of this work include planning complex surgical interventions in the pre-operative stage thus, reducing the steps involved in implant/removal as well as the time span for which the patient is kept under the impact of anesthesia. This also has an additional advantage of helping with intraoperative orientation. It is understood that, this model will prove to be highly useful with respect to treating a complex organ like the human brain, since its intricate shape makes its 3D rendering a difficult task. Thus, the creation of a live size model of the patient’s brain with cut-sections at the tumor’s location will definitely assist the neurosurgeons with brain surgeries involving tumor removal
Transmission Line Fault Detection with Mini Weather Station using IoT
Get PDFThe fault occurred in transmission line is very much dangerous for the locality. In locality the fault occurrence is more as compared to outer transmission line. In our prototype we design a model which is to be detect the fault in transmission line by comparing the voltage signal between the transmission line and a reference value, the reference value is predetermined and if the transmission line voltage is more than or less than reference value then fault is to be shown in display. The information regarding fault occurrence in particular phase is send to web page via IOT device which is NODE MCU(Esp8266) and also shown in display. The Voltage sensor is used to sense the voltage and send output to microcontroller IC. Here microcontroller IC ATMEGA 328P is used in this IC programming is done which compare the voltage signal and send output to IOT module and display. Similarly, climate is the condition of the environment, to the extent that it is hot or chilly, wet or dry, quiet or stormy, clear or overcast. Checking the climate conditions physically is troublesome. Here on this paper the weather station is based totally on IoT (internet of things). Such a framework contains sensor like DHT11 that detects temperature and humidity. The sensor is associated with an e-bulletin board and ESP8266 board that is a low fee Wi-Fi module. By keeping the embedded devices in the environment for tracking enables us to know the college campus weather. The execution of the climate observing framework needs to convey the sensor gadgets in the surrounding for gathering the information and analysi
Smart Grid System and Efficient Location Finder for Renewable Power Plant based on One Sun One World One Grid
Get PDFFossil fuels are the main source of energy and also one of the main contributor for Global Warming. Use of these fossil fuels can be replaced by Clean energy sources such as Solar, Wind, Hydro, etc. With the view of increasing the use of Clean energy, a project named One Sun One World One Grid has been launched by the Government of India. The One Sun One World One Grid(OSOWOG) is based on a mantra “The Sun Never Sets for the whole World” hence we can generate round the clock electricity from the Sun. The one of the major problem in this OSOWOG project is switching between renewable and conventional sources of energy as it requires skill manpower at every main grid. In this paper, two methods are proposed by which such projects can be accomplished with less manpower and in a cost efficient way. The first system is an Smart Grid System and the second system is an Efficient location finder for Renewable Power Plants. These both systems will be build using Neural Networks
Performance Analysis of Dimensionality Reduction Techniques in Cancer Detection using Microarray Data
Get PDFCancer is one of the major causes of deaths worldwide. This disease is more ghastly as it doesn’t announce itself until it reaches in an advance stage. Still, mortality rate for cancer can be decreased if we diagnose & provide treatment at earliest. Though there are traditional clinical trials to predict a cancer there does not a single test which can correctly identify this disease. In the recent years DNA Microarray technology has been significantly used to analyze & predict the cancer. Analysis of gene expressions is not only interesting but also challenging as it is not only the concern of accuracy but also matter of life or death of a patient. DNA Microarray data is high dimensional, noisy & redundant, it makes task of classification more complicated as high computational cost is involved. Therefore feature selection & feature reduction becomes important task prior to classification. This paper presents comparative performance analysis of different dimensionality reduction techniques implemented on TCGA PANCANCER dataset
A Secure Communicating MD5 based DICOM Annotation tool
Get PDFDICOM proceeds through a volume of .dcm files and maintaining all standard as well but still it is not free from attacks. In this paper I present the RTStructure based GUI and the security model of DICOM communication. Here, I use massage digest with the metadata of each volume of DICOM. Metadata is nothing but data about data and it is required for constructing each volume of .dcm files. In my case, it is standardized and static with the help of python packages. After successful construction .dcm files, cryptographic hash function is applied. Hence, a secure RT-Structured based annotation model is ready for storing and accessing medical information among various medical devices by maintaining HIPPA and PACS standard.  
Bluetooth Controlled Arduino Based Robotic Arm
Get PDFFrom ancient times science and technology have eased human life in all ways. So, it’s not surprising that with the advancement of human civilization human needs will be increased and technology has to be developed at the same pace. While meeting these needs and making everyday life easier, better; here comes the importance of robotic arm studies. Robot arms can be controlled by an outside user or by doing predetermined instructions. Nowadays, robot arms are broadly used in the industry and as well the medicine sector. Today, technology is developing at the same pace of rapidly increasing human needs. The work done to meet these needs makes life easier every day, and these studies are concentrated on robotic arm studies. In this project, the robotic arm can move in 4 axis directions with the help of 5 servo motors. With the help of the holder, we can hold the material and move it from one place to another. For doing this, we can connect the android application with the Arduino UNO microcontroller via the Bluetooth module. The abstract part describes why robotic arms have become so important, the introduction part describes types of it, the projected method describes the theory of the project and descriptions of components, lastly how the arm is implemented is described in experimental data and results
Bioinformatics Analysis of Merkel Cell Carcinoma to identify critical genes and their validation
Get PDFMerkel Cell Carcinoma (MCC) is a destructive form of neuroendocrine carcinoma that represents the 2nd highest cause of skin cancer related deaths despite being a relatively rare form of cancer. Different risk factors have been associated with MCC such as advancement age, immunosuppression, and ultraviolet light exposure, polyomavirus infection and a current, concurrent or previous diagnosis of Chronic Lymphocytic Leukaemia (CLL). However, the exact mechanism that leads to MCC and its inherent biology is yet to be fully researched and explored. The current treatments for MCC are a combination of surgery and radiation or chemo-radiation. So far, only two drugs have been approved by FDA for the treatment of MCC, with both drugs being immune checkpoint inhibitors. However, the drug approval from FDA was accelerated based on promising results from a relatively small number of patients, which means that the more research and trials are undergoing currently considering the fact that a very small cohort was used for clinical trials. Presently there are no biomarkers indicative of MCC and additional research is essential. With the advent of bioinformatics and microarray technology, in silico approaches pertaining to ‘omics’ data analysis, shall allow identification of hub genes and miRNA to broaden our understanding of MCC biology and their clinical utility
Proving that Eddy Current is the Main Heat Generator for a Current Carrying Cable Suspended in a Steel Pipe
Get PDFThe aim of this research is to prove that when a current carrying cable is sized sufficiently to carry a large current and is placed in a steel pipe, the main energy loss is eddy current and not joule heating or I2R loss. To prove this, two methods were used to negate the eddy current which are by placing live and neutral cables in the same pipe and the other was to place the same cable in HDPE pipes where eddy current cannot be induced. It was conclusively proved that eddy current was the main generator of heat. Heat was also observed all over the circuit and it was discovered that joints had the most heat. Finally, the steel pipe itself was made part of another circuit to attempt to drain off the induced eddy current but this did not prove effective.