Li-Fi: The Future Technology

Li-Fi is a wireless technology which provides the connectivity within large area network. The main objective of this technology is we can transmit the data using light illumination using light emitting diodes and radio frequency is used in Wi-Fi and LED bulb light intensity is faster than human eye that cannot follow. One germen phycist-Prof Harald Haas an expert in optical wireless communications at the University of Edinburgh, he demonstrated how an LED bulb equipped with signal processing technology could stream a high-definition video to a computer. By using this technology a 1 watt LED light bulb would be enough to provide net connectivity to more than one computers. This technology termed as "light fidelity". This technology provides transfer data more securely with higher data rates and high speed and high intensity. This technology is still under research and further exploitation could lead to wide applications

A Review on Block Matching Motion Estimation and Automata Theory based Approaches for Fractal Coding

Fractal compression is the lossy compression technique in the field of gray/color image and video compression. It gives high compression ratio, better image quality with fast decoding time but improvement in encoding time is a challenge. This review paper/article presents the analysis of most significant existing approaches in the field of fractal based gray/color images and video compression, different block matching motion estimation approaches for finding out the motion vectors in a frame based on inter-frame coding and intra-frame coding i.e. individual frame coding and automata theory based coding approaches to represent an image/sequence of images. Though different review papers exist related to fractal coding, this paper is different in many sense. One can develop the new shape pattern for motion estimation and modify the existing block matching motion estimation with automata coding to explore the fractal compression technique with specific focus on reducing the encoding time and achieving better image/video reconstruction quality. This paper is useful for the beginners in the domain of video compression

Modified Three-Step Search Block Matching Motion Estimation and Weighted Finite Automata based Fractal Video Compression

The major challenge with fractal image/video coding technique is that, it requires more encoding time. Therefore, how to reduce the encoding time is the research component remains in the fractal coding. Block matching motion estimation algorithms are used, to reduce the computations performed in the process of encoding. The objective of the proposed work is to develop an approach for video coding using modified three step search (MTSS) block matching algorithm and weighted finite automata (WFA) coding with a specific focus on reducing the encoding time. The MTSS block matching algorithm are used for computing motion vectors between the two frames i.e. displacement of pixels and WFA is used for the coding as it behaves like the Fractal Coding (FC). WFA represents an image (frame or motion compensated prediction error) based on the idea of fractal that the image has self-similarity in itself. The self-similarity is sought from the symmetry of an image, so the encoding algorithm divides an image into multi-levels of quad-tree segmentations and creates an automaton from the sub-images. The proposed MTSS block matching algorithm is based on the combination of rectangular and hexagonal search pattern and compared with the existing New Three-Step Search (NTSS), Three-Step Search (TSS), and Efficient Three-Step Search (ETSS) block matching estimation algorithm. The performance of the proposed MTSS block matching algorithm is evaluated on the basis of performance evaluation parameters i.e. mean absolute difference (MAD) and average search points required per frame. Mean of absolute difference (MAD) distortion function is used as the block distortion measure (BDM). Finally, developed approaches namely, MTSS and WFA, MTSS and FC, and Plane FC (applied on every frame) are compared with each other. The experimentations are carried out on the standard uncompressed video databases, namely, akiyo, bus, mobile, suzie, traffic, football, soccer, ice etc. Developed approaches are compared on the basis of performance evaluation parameters, namely, encoding time, decoding time, compression ratio and Peak Signal to Noise Ratio (PSNR). The video compression using MTSS and WFA coding performs better than MTSS and fractal coding, and frame by frame fractal coding in terms of achieving reduced encoding time and better quality of video

MRAS Based Speed Identification for Sensorless Field Oriented Controlled Induction Motor with online Identification of Stator Resistance

This paper presents a new online method of estimating the stator resistance of an induction motor simultaneously with the motor rotor speed for effective implementation of rotor field oriented control technique. Knowledge of stator resistance is required for the correct operation of speed sensorless control of the induction motor in low speed region. Since stator resistance varies with drive operating conditions, stable operation in low speed requires an appropriate on-line estimator for the stator resistance. The paper proposes the stator resistance and rotor speed estimation algorithm based on rotor flux based MRAS in a systematic manner. It enables the correct speed estimation and stable drive operation at low speed. The proposed parallel speed with stator resistance estimator is verified by MATLAB/SIMULINK simulation. A simulation result shows the robustness and accuracy of the proposed method and good speed tracking capability and fast responses have been achieved

Preterm Labor and Treatment Efficacy-Safety

With medical sciences on the verge of advancement, preterm labor still remains a bothersome issue in modern obstetrics. A few therapeutic agents that suppress uterine contractile activity have gained success up to some extent. Tocolytics are medications used to suppress premature labor. These drugs can decrease the strength and frequency of uterine contractions and help in delay the onset of labor but are not able to prolong pregnancy to full-term. Presently, the choice of a best tocolytic drug remains debatable. This review discusses efficacy and safety of various useful agents which have been used so far. Further clinical trials are required to select an effective, and most importantly, safe therapy for the threatened preterm labor

The wounded healer during COVID-19: unraveling the violence against healthcare workers in Nepal

On 27th May 2021, a nurse was working in the intensive care unit (ICU) at Bheri Hospital, Nepal when she was startled by a commotion. A hand grabbed her neck and choked her just as she looked behind. “She’s the one responsible,” said the perpetrator, whose brother had succumbed to the coronavirus disease (COVID-19), as his henchmen thrashed other staff on duty. Luckily a relative of another patient rescued the nurse from the vice of the attacker. The staff fled to the duty room. Huddled in the duty room, they wailed for their safety as the perpetrators banged at the door. They then ran into the toilet inside the duty room just as the duty room’s door was broken open. As the door of the toilet could not keep them from the offenders, three nurses and a doctor jumped off the second floor, fearing for their lives. Fortunately, they landed on the sand and ran to safety. Two patients died because of lack of care amidst the chaos.1,

Conditions associated with discarding of blood and its components in a blood bank of tertiary care hospital of Western Uttar Pradesh: a retrospective study

Background: Blood transfusion services in India rely on different factors for a smooth workout. Thus proper utilization of blood is necessary with minimal wasting. The aim was to evaluate the causes of discarding of blood and its components and to implement possible intervention for minimizing wastage. Methods: A retrospective study was carried out in the blood bank of Sardar Vallabh Bhai Patel Hospital, Lala Lajpat Rai Medical College, Meerut, Uttar Pradesh over a time period of 24 months from April 2019 to March 2021. Results: A total of 21627 units were collected from donors. A total of 11534 whole blood (WB), 10093 packed red blood cells (PRBC), 3245 platelets (PC), and 9669 fresh frozen plasma (FFP) were prepared. A total of 4046 units of blood and its components were discarded. The discard rate for WB, PRBC, PC and FFP was 6.25%, 7.46%, 38.39%, and 13.71% respectively. Conclusions: An average of 18.70% of blood units were discarded during this study period. The overall most common reason for discard was the date of expiry followed by transfusion transmitted infections (TTI). To minimize wastage of blood units, blood banks should be fully committed to organizing and coordinating the blood transfusion services,implementing all possible strategies as discussed in order to lower the discarding of blood and its units and to make them widely available

A study of incidence of congenital anomalies in newborn: a hospital based study

Background: Congenital anomalies have emerged as a main cause of perinatal mortality as well as infant morbidity and mortality. The aim of this study is to determine the incidence of congenital anomalies and to study associated factors.Methods: It is an observational study conducted in the Department of Obstetrics and Gynecology of SMGS Hospital during a period of one year from October, 2012 to September, 2013. All women with anomalies proven on Ultrasonography and those having no antenatal record but after delivery/abortion, examination of newborns revealed anomalies; were included in the study.Results: The pattern of congenital anomalies included Central nervous system (49.60%), Urinary system (13.79%), musculoskeletal system (12.99%), GIT (7.16%), CVS (5.83%) etc. The overall incidence of congenital anomalies was 1.85%. Higher incidence of anomalies was found in babies of mother between 26-30 years of age (2.13%) and parity of 4 and above (3.65%). Frequency was more common in Muslims as compared to Hindus (2.8% vs 1.68%), in non-cephalic presentation as compared to cephalic presentation (10.28% versus 1.51%).Conclusion: This study stresses upon incidence of congenital anomalies as they are an important cause of perinatal mortality. To decrease the incidence of various congenital anomalies and their prevalence in the particular region, it is important that the distribution and prevalence are identified in that region and country as a whole.

Comparison of Radiovisiography and Digital volume tomography to direct surgical measurements in the detection of infrabony defects

Objectives: To compare the linear measurements of Radiovisiography (RVG) and Digital volume tomography (DVT) to direct surgical measurements in the detection of periodontal infrabony defects. Study design: RVG and DVT images were taken prior to periodontal surgery for 28 infrabony periodontal defects. After defect debridement, direct bony defect measurements were made from the cemento enamel junction (CEJ) to the base of the defect (CEJ-BD) and to the alveolar crest (CEJ-AC) with a periodontal probe. These same measurements were made on the RVG and DVT images and then compared to the direct surgical values. Results: DVT correlated strongly with surgical measurements, whereas RVG correlated less favorably (P=0.0109, P=0.0193 respectively).No significant difference for CEJ-AC (P=0.0599) was seen between DVT and surgical measurements; however, there was a significant difference for the distance CEJ-BD (P=0.0105). Conclusion: DVT technique is significantly more accurate than RVG in the detection of infrabony periodontal defects

Implications & Impact of Artificial Intelligence in Digital Media: With Special Focus on Social Media Marketing

Purpose: This study will investigate the implications and impact of artificial intelligence in digital media, focusing on social media marketing. Theoretical Framework: The authors started their research based on technology adoption based on the Unified Theory of Acceptance and Use of Technology (UTOUT). This theory was given by Venkatesh et al. (2003). Design/Methodology/Approach: The authors used statistical analysis of technology acceptance and use based on quantitative research data. The authors examine the relationships between experience in “social media marketing” (SMM), knowledge application of “machine learning (ML) in SMM,” and rate of applying “ML algorithms in SMM campaigns,” with potential users’ comprehension of “AI-based software on three pillars (audience analysis, sentiment analysis, and image analysis)” in a sample of one hundred respondents from around the world. Findings: As a result, online marketing may focus more on strategy. A professional in social media marketing may teach a computer using algorithms for machine learning to identify trends in postings that correspond to targeted posts on social networks, hence providing doors for specialized analytical categories. This training can be done on a computer. The results show that prospective users of AI Media software have a high degree of curiosity and trust in its significant proposal. Research Practical and Social Implications: In this digital transformation era, businesses have access to a greater customer of data than ever on their customer’s behaviors. One of the most significant difficulties associated with social media marketing is anticipating people’s interests to provide them with relevant content. Fortunately, machine learning (ML) techniques have been developed that enable natural language replies to online comments. Originality/Value: This study is just the first step in figuring out how the people who will use the AI media software made as part of the Future Web research project plan to use the programmer’s features to their advantage. Due to the quantitative nature of the study and the fact that interviewees came from different countries all over the world at random, the results of the current research should be taken with a grain of salt