Search

Nowadays the multimedia data easily available to most people. It is the main cause of illegal access to multimedia content, theft of the intellectual property, easily copying and manipulate the data over the internet, and spreading fake news. With the increase in the availability of the internet to a common man, it is observed that most of the multimedia data misused. Nowadays telemedicine, tele diagnosis, tele consultation, teleradiology, telematic services are necessary. Electronic Patient Record is essential to provide these services. It is necessary to secure the multimedia data by using a suitable watermarking technique. Due to the huge availability of high-speed internet, digital movie piracy was increased rapidly and it causes revenue loss and affects the employment of the people. The high demand for protecting digital videos or movies from unauthorized access. So, it is necessary to protect the intellectual property of the owner, stop unauthorized access of data, also protect and stop the spreading of fake news. In this article, we presented a survey of digital watermarking, bolding its key concepts, embedded and extracted features, state-of-the-art implementation, and research challenges. The primary goal of this article is to provide an improved understanding of the embedding-extracting of watermarking challenges of watermarking and identify important research paths in health care and multimedia applications.

IOT technology, now a day performs very crucial role in industrial aspects related to safety, cost, production and maintains. The cost of renewable energy equipment is much lower, and large-scale industries are encouraged to set up solar photovoltaic systems and maintainers objects that are very useful for high power consumption. This solar photovoltaic system requires a better automation of the equipments, controlling, monitoring plants using remotely with different types of sensors that are interfaced with the system equipments and then have to identify the problems related to inaccessible locations in the industry. Using IOT technology for controlling and generating solar photovoltaic power can have a significant impact on the performance, monitoring and control of the plant using various wireless communication technology methods and then eliminating interrupting problems in a very short time. In this paper, we have implemented a solar power generation and tracking system with IOT sensors and produced continuous power.

(Virtual Conference) Sumathi Reddy Institute of Technology for Women (SRITW), a leading Engineering College in Telangana, India has organized ‘International Conference on Recent Advancements in Engineering and Management (ICRAEM-2020)’ on 9th-10th, October, 2020. Due to existing global pandemic, the conference was conducted in online mode. The objective of ICRAEM-2020 is to provide a global forum to academicians, researchers, industrialists and students engaged in areas of technology to discuss critical issues concerning intricacies of all branches of Engineering and allied Management subjects. The theme of the conference is to focus, discuss and deliberate on challenges, opportunities and strategies involved on various recent innovations in the multi-disciplinary fields of Engineering & Technology which eventually aim for better possible scientific collaborations in the domain of interest. Conference will feature traditional paper presentations as well as keynote speeches by prominent speakers who will focus on related state-of-the-art technologies in the areas of the conference. List of titles Committees, ICRAEM-2020 Proceeding Editors are available in this Pdf.

In this paper we have proposed face recognition door lock system using raspberry pi for security purpose. Implementation of the system is for monitoring whether any unknown person is entering in to the door. We have established communication with electronic devices through face detection with the help of Pi camera Raspberry Pi platform. For software coding Python and Open CV libraries are used. In order to get accurate and clear picture of an intruder we have proposed Haar classifier method for face detection. As soon as the person enters near the door, pi camera captures the image and face detection process is done then if it matches with database images then the door is unlocked otherwise a message with the picture of a person will be sent to the registered mobile through GSM and LAN network.

Accidents occur due to road and vehicle conditions. Need to know how fast the vehicle is traveling on the road and how fast the vehicle is running; what speed vehicle brake system is exactly applicable. Vehicle owners and riders need to know these two things. Knowing these two things will reduce the risks by a maximum of 96%. The main reason is that the roughness of the road and the condition of the vehicle can save the global economy, improve supply time and save millions of lives if these two things are adjusted. Hence vehicle efficiency and repair cost are greatly reduced. The road roughness is good when we are traveling on the road, at that time the vehicle noise is less and the movement of vehicles is very smooth. At that time when the road roughness is average the vehicle noise will increase slightly and the movement of the vehicles will be rough. At that time when the road roughness is less than average the vehicle makes more noise and the movement of vehicles becomes more difficult. We propose a mathematical analysis of the International Roughness Index (IRI) and road roughness impedance. Scale ranges from 1 to 5 to assess road condition according to IRI. The road condition scale was excellent on the 1st, very good on the 2nd, good on the 3rd, fair on the 4th and poor on the 5th. These measured values actually calculate the road roughness impedance (RRI). If the RRI value is low, the road condition is excellent, if the RRI value is low, the road condition is good, if the RRI value is medium, if the road condition is good, if the RRI value is high, the road condition is good and if the RRI value is high the condition is low. This information and vehicle condition are displayed on the vehicle dashboard. This will enable us and the government to find out the information of the damaged roads and take immediate action to rectify the problems without making extra effort.

The need of data transmission has recently increased dramatically and the promising MIMO technology has been employed to preserve reliability. It can achieve exceptionally enhanced spectral proficiencies by adopting several antennas both at the source and the receiver. However, complexity of several detection schemes escalates because of tremendous increasing of customers and antennas. This paper proposes novel hybrid MIMO detection (NHMD) method to compromise the complexity and the hardware design challenges. The key objective is to develop a less-complex hybrid detection system to enhance hardware execution suitability without negotiating the performance of the bit error rate. The proposed NHMD method combines conventional linear detectors such as zero-force (ZF) and minimum mean square error (MMSE) with the K-best detector for quality enhancement. It introduces an optimal differential evolution (ODE) algorithm that selects detector using multiple constraints. Moreover, this method uses parallelism process to reduce the number of arithmetic logics. The proposed NHMD method has been done for different antenna configurations (2×2, 4×4) and implemented on Xilinx tool with different FPGA families. The simulation results confirm that NHMD method consumes less hardware’s, power and higher throughput without affecting BER performance.

Every day, the estimated volume of data which is generated per day is 2.6 quintillion bytes. From the last two years, there is a lot of data generation and execution is taking rise due to feasible technologies and devices. To make the information accessible with ease, we need to classify the information data and predict an accurate or at least an approximate expected result which is forwarded to the end user client. To achieve the said process, the information technology industries are more concerned with machine learning and edge computing. Machine learning is a integral subset of artificial intelligence. In machine learning, the foremost step towards achieving the above task is to observe the data which is produced in large amount, later classify the data to make the system learn (train) from the old data (experience) that is stored at the server level and finally predict an estimation as a result. The obtained result is been transformed onto the devices which have made a request for a particular data. These devices are remotely located at the corner of the central data center. The process in which the execution of the information data is done at the corner of the data center is called as edge computing. In today’s world of high computation, these two technologies i.e machine learning and edge computing are creating an overwhelming significance for its usage in the business market and end user clients. Here, we try to explain few possibilities of integrating the two technologies.

Multipath fading encountered in time-varying channel renders wireless communications highly non-reliable. To obtain an average bit-error rate of 10−3 using BPSK modulation with coherent detection, performance degradation due to Rayleigh fading can account for a SNR of 15 dB higher than in AWGN [1]. This paper is limited to the review of several study cases of MISO configuration where suitable coding or signal processing techniques are exploited to allow the extraction of transmit diversity without channel knowledge at the receiver. If the subchannels associated with transmit antennas have independent fades, the order of diversity is proven to be equal to the number of transmit antennas. This approach is attractive in public broadcasting systems such as cellular (for voice) or broadband wireless access (for data communications) to keep the subscriber-side equipment cost down with simpler hardware requirement and more compact form factor by avoiding the implementation of several receive antennas.

This paper describes the aspects of multiple access for emerging (5G) Wireless Communication Systems. Orthogonal Frequency Division Multiplexing (OFDM) is best suited for fourth generation (4G) but it suffers from the problem of high Peak to Average Power Ratio (PAPR) & Side band leakage. Single carrier frequency division multiple access (SC-FDMA) has worked like an alternative to OFDMA only in the uplink process and PAPR was reduced. OFDM based 4G network is not capable of supporting diverse applications and these applications can be implemented by 5G. High traffic requirements of 5G can be evaluated by using multiple access schemes, namely filter-bank multi-carrier (FBMC), universal-filtered multi-carrier (UFMC), generalized frequency-division multiplexing (GFDM). Comparison of PAPR reduction is done based on Complementary Cumulative Distribution Function (CCDF), for various multiple access 5G waveforms.