Title: Design of a CPW fed Complementing E shaped patch antenna
Authors: Tanisha Gupta, Dr. Tarun Kumar Parashar and Nidhi Awasthi
Abstract: The design of a planar complementing E shaped co-planar waveguide fed micro-strip patch antenna for multiband applications has been presented. It resonates at three centre frequencies of 5.4GHz, 6.7GHz and 9.5GHz with more than 100MHz bandwidth around each centre frequency which allows it to be suitable for C and X band applications, WLAN/HIPERLAN and defence applications. The introduction of slots and complementing design optimizes the result in terms of parameters like S- parameter, VSWR (Voltage Standing Wave Ratio), gain, bandwidth and radiation pattern which are viewed in HFSS simulation. The design fuses two previous designs of E shaped patch and complementing C shaped patch to obtain improved results.
Title: A Review from Basic Image Features to Their Integration in Content Based Image Retrieval System
Authors: Pooja Devi and Shikha Bhardwaj
Abstract: From last few years, the need of massive database used to store vast images has been developed rapidly and will also grow in the future. From the enormous database, extracting and querying of the images in a proper manner is important to produce the visual content. Content Based Image Retrieval System (CBIRS) provides us utmost outcome to fetch the images from massive dataset. In these systems, different features like texture, shape, color, spatial information, edge etc. can be used to represent an image. This paper provides the review of basic features of an image denoted by color, texture and shape. For color feature extraction, techniques like color histogram (CH), dominant color descriptor (DCD), Color correlogram etc. have been described. Tamura, steerable pyramid, Gabor wavelet transform, grey level co-occurrence matrix (GLCM) are the techniques described for texture features extraction and lastly Zernike moments and MPEG-7 for shape feature extraction. If we are using single feature to retrieve the image, it takes more retrieval time. In this paper, a review of fusion based retrieval system is described. The paper also discusses the fusion of features in which more than one feature is used and the results of individual features (color and texture) are fused to extract the images from large database. By using the fusion approach, better results can be produced with the higher precision value.
Title: Multiband Hexagonal Patch Antenna
Authors: Mohit choudhary, Dr. Tarun Kumar, Shashank Sharma and Yash Vashist
Abstract: In industrial and IT sector, everything is digitalized. For communication and working, LAN's and WAN's is usually being seen in these sectors. For communication purpose we are using different devices attach to our system like (routers, modem) having different bandwidths and it is also being differ country by country. For different networks (LAN, WAN) and satellite communication, we are using different devices having antenna working in certain bandwidth. A hexagonal antenna is proposed which is compact in size, optimized and operated in wide range bandwidth. It will be emphasized in tertiary sector for different work. Low manufacturing cost and printed board layout are also the pros for this antenna.
Title: Hand Gesture Control in Automobiles
Authors: Harika Chiruvella
Abstract: Gesture recognition is the new technology for human-machine communication, since it can make interaction between humans and machine more intuitive. The main motive of this technology is to improvise the human-machine interaction, i.e., to reduce the gap. This enables better communication between human and machines at any given situation. Vision based approaches are better preferred. A vision based real-time gesture recognition system, designed for operating in an automotive environment is still under research. It can be used within an application for retrieving traffic news and e-mails from a message storage. Image processing and matching the image with thresholds are specially adapted to the practical applications involving complex conditions, represent the systems basics. Human-Vehicle Interaction (HVI) is complicated and requires new user dimensions. Gesture control system introduces techniques which elucidated as it is capable of simplifying various interactions between the vehicle and the user or other passengers. The basic characteristics of HVI devices include stability, robustness and reliability of the entire system, beginning from the capturing of image to performing the relevant action.
Title: Low-Power and High-Speed Tri-State Inverter Structures and its application
Authors: M. Madhusudhan Reddy, M. Sailaja and K. Babulu
Abstract: In digital integrated circuit applications, the standard CMOS logic based tri-state inverter lies in the critical path that affects the overall speed of the system. The internal circuitry in tri-state inverter is responsible for the large time-delay and huge power. Whereas the C2MOS logic tri-state inverter is operated at higher speeds, but dissipates more amount of power due to precharge of pMOS transistor per each clock cycle. To overcome the problems, three tri-state inverter structures have been proposed. The three structures i.e. Transmission gate (TG) based tri-state inverter, pseudo-nMOS with active enable pull-up tri-state inverter and Pass Transistor (PT) based tri-state inverter are designed and examined using PSPICE and the model parameters of a 0.13 micrometer CMOS technology. The proposed tri-state inverter structures are compared with existing ones exhibits better delay performance and energy consumption. Due to reduced transistor count and usage of Euler path approach, optimization of an area takes place by the PT based tri-state inverter by a factor of about 79.49% and 50% as compared to standard CMOS and C2MOS logic based tri-state inverters.
Title: Fault Diagnosis Of Induction Motor Under Various Fault Conditions Of Stator Winding At Different Loading Level
Authors: Kalpana Sheokand and Neelam Turk
Abstract: Stator inter turn faults are a standout amongst the most well-known faults happening in induction motors. Around 30 to 40% of faults of induction motors are stator faults. Stator faults are caused by a blend of thermal, electrical, mechanical, and environmental stresses. Early recognition of inter turn short circuit is imperative to lessen repair costs. In this paper, execution of induction motor under various failure's of stator windings are inspected using FEM approach. Maxwell Transient solver is used for separating the lead of motor under solid and diverse broken conditions.
Title: A Reconfigurable Microstrip Patch antenna with Various Patches
Authors: Nananavanam Venkateswara Rao, Bellamkonda Lavanya, Jetty Sravya, Guruvelli Bulli Swamy and Bandaru Vimala
Abstract: A reconfigurable Microstrip Patch Antenna of various shapes surrounded by two fork shaped patches and one rectangular patch has been designed using Ansoft HFSS software. The different shapes of the central patch are Rectangular (horizontal or vertical) or Square or circular or elliptical are used. The three outer patches are connected to the central rectangular patch through PIN diodes. By changing the state of the diodes, frequency reconfigurability has been obtained. The FR4 epoxy dielectric material of 1.6mm height with relative permittivity 4.4, loss tangent of 0.02 has been used as substrate. The antenna is probe feeded. Based on the condition of the diodes i.e. either OFF or ON, the antenna resonating frequencies are varying from 2.0 GHz to 10 GHz., the bandwidths are varying from 50 MHz to 600 MHz and return loss is changing from 11 dB down to 50 dB down. Peak Directivity, Gain and radiation efficiency are also determined for all the cases. The proposed antenna is suitable for WLAN, ISM band, Search and Rescue (SAR) and UWB applications.
Title: Massive MIMO Throughput Maximization for Next Generation Wireless Communication Systems Using Convex Optimization Techniques
Authors: Javaid A. Sheikh, Arshid Iqbal Khan, Sakeena Akhtar and Syed Mujtaba Hassan
Abstract: In the present age, Wireless Telecommunication Systems have gained a huge improvement in both efficiency and cost effectiveness. High data rate and high Quality of Service (QOS) is no more a dream in present Wireless Communication Systems and this rate is increasing quite rapidly with time. Multiple Input Multiple Output (MIMO) Systems are going to make an evolution in the domain of Wireless Communication. MIMO employs the concept of multi Antenna systems deployed concurrently at the transmitter and the receiver sides. Such a system has the capability to communicate with different antennas simultaneously. Nowadays Massive MIMO technology has led to vast improvements in area throughput by increasing the spectral efficiency, while using the same bandwidth and density of base stations as in current networks. In this paper a new method of rate maximization for Massive MIMO Systems using Convex Optimization Techniques has been proposed and implemented. In Massive MIMO Communication, the base stations are equipped with arrays of hundred antennas which enable spatial multiplexing of tens of user terminals. This paper thus explains the basic model for throughput maximization calculation of Massive MIMO systems and provides the implementation related design guidelines for next generation Wireless Communications Systems.
Title: Text Independent Speaker Recognition using GMM and RBF
Authors: Lanka Koundinya and PPS Subhashini
Abstract: A comparative study of the application of Gaussian Mixture Model (GMM) and Radial Basis Function (RBF) in biometric recognition of speaker has been carried out and presented. The application of machine learning techniques to biometric authentication and recognition problems has gained a widespread acceptance. In this work to extract features of speech signal Linear Prediction Coefficients (LPC) and Mel-Frequency Cepstral Coefficients (MFCC) are used. The extracted features are modelled using GMM using Expectation Maximization (EM) algorithm and RBF using Gradient Descent Algorithm. In terms of recognition time and performance, the standard RBF was found to be the best.
Title: A Review of Multimodal Brain Tumor Image Segmentation Using Convolutional Neural Networks
Authors: N. Arun Priya, V. Haritha, G. Gayathri and N. Asvedha, S. Aishwarya Jose
Abstract: Brain tumor is a most dreadful and dangerous disease. Diagnosis of brain tumor is quite difficult. In this paper, we tend to propose automatic segmentation using convolutional neural network, exploring the small 3*3 kernel. Using small kernels provide deeper architecture and avoids overfitting. The intensity normalization is done using pre-processing step which is not common in CNN-based segmentation methods, which also proves data augmentation to be effective for brain tumour segmentation.
Title: Comparative Study of Model Based Leakage Detection Techniques for Water Pipeline Structure
Authors: Arpita Bhattacharya and A. Senthil
Abstract: The ambitious target of doubling farm income by 2022 is projected to be achieved by India. Due to increased investment in agricultural infrastructure such as irrigation facilities, warehousing and cold storage, the agriculture sector in India is expected to generate better momentum in the next few years. For about 58 percent of the population of India, agriculture is the primary source of livelihood. Agriculture, forestry and fishing gross value added (GVA) was calculated at Rs. 19.48 lakh crore (US$ 276.37 billion) in FY20. India has 18% of the world?s population, and 4% of the world?s fresh water, of which 80% is used for agriculture. Water is important for seed germination, plant root development, and for the nutrition and multiplication of soil species. In the plant?s hydraulic phase, water is important. This water crisis poses a serious challenge to agriculture, with unmonitored waste of water resulting in tremendous losses for farmers in drought-prone areas facing increased production costs and poverty. In farm production, India ranks second in the world, and agriculture contributes 17 percent of the GDP of the country. By following effective water management procedures, including minimizing water shortages, avoiding water waste, etc., the efficiency of water usage can be improved. Use of modern technology like sensors and IoT based methods are being used as a replacement of traditional farming and a boom to smart farming. Water distribution pipes face this leakage problem due to numerous factors like corrosion, loosening of joints, and cracks, material type, external factors, etc. real time monitoring and detection of leak can solve this problem to a certain extent. There are varieties of technology ranging from signal based to model based for detection, monitoring, and localization of leak in the water pipelines. All methods have some merits and demerits but none of the methods can be implemented in the fields in a comprehensive ways. Our papers try to focus on some of the model-based leak detection techniques along with their applicability and limitation in the field of smart agriculture for leakage detection in water pipeline structure. It is concluded that cellular automata has immense scope in addressing some burning issues of agricultural problems faced by the farmers.