Biological Engineering Analysis of Vermicompost Based on Image Features and Machine Learning

Earthworm manure is a soil enhancement product that is homogeneous, permeable, ecological, and organic. It has a particle structure that is substantially greater than the soil’s surface area. Using a suitable quantity of earthworm fertilizer in the soil will improve the nutritional state of the soil surface, as well as the microbial control system and drainage capacity. Bioengineering earthworm dung is now a tough challenge, but picture quality evaluation can help enhance the organic fertilizer treatment process for earthworm manure. Researchers began researching appropriate assessment methods in order to assure the influence of earthworm excrement and to precisely and effectively measure changes in image quality. As a result, we must first determine the consistency qualities, extract the image's color and texture, and then create a comparable vector with 11 dimensions. Finally, we learn how to train the picture quality regression model using the mechanical learning (ML) approach. As a result, an effective and precise image quality evaluation system was created, and earthworm manure bioengineering was effectively applied.

HDR10+ Concepts, Principles, Capabilities and Advantages for the Next-Generation of Brazilian Broadcasting System (TV 3.0)

This paper aims to briefly introduce the current Brazilian DTV scenario towards the next generation DTT system (TV 3.0) as well as HDR (High Dynamic Range) principles, features and applications. Different HDR formats have been proposed along the history with different features and purposes. One of them is the HDR10+ technology that can provide powerful advantages and benefits related to picture quality and based on dynamic metadata system. HDR10+ is being adopted by major international digital terrestrial TV systems and other standardizations bodies. In this scenario TV 3.0 can take advantage of HDR10+ to improve the overall system from industry perspective, and consequently delivering a consistent user experience.

Anticipation & Advancement of DTH Service in Bangladesh

DTH (Direct-To-Home) TV is one of the important inventions which created a revolution in the television industry by the grace of modern technology and achieving popularity day by day. The objective of the study was to analyze the advancement and to find the anticipation and impact of DTH service in Bangladesh. Primary and secondary data both were used in this research paper. The conducting period of this research was from April - August of 2021 surveying a questionnaire of 560 participants in both urban and rural areas of 8 divisions in Bangladesh. To analyze data and present the result simple statistical tools; pie-chart, bar diagram and tables were used. The findings revealed most of the users use DTH TV for its clear picture quality, payment through mobile banking & the promotional benefits of numerous HD channels. DTH providers should enhance their features and the level services with the updated technology.

GPU based Image Compression with Scaling-Hard-Threshold Using HWT (Haar-Wavelet-Transform) + RL (Run-Length) Pair Encoding

In 5G MASSIVE MIMO the main problem for better video communication is of transmission bandwidth issues which in turn reflects in video conferencing, Mobile-learning, gaming, graphics applications etc. However, in regard to a versatile framework i.e. a computerized camera with web and correspondence office, at that point the transmission capacity for correspondence and additionally stockpiling are of genuine concern. Tremendous valuable data must be put away and recovered proficiently for down to earth purposes. This is the novel methodology that scaling technique has proposed for 2D Haar wavelet transform based compression of picture utilizing parameter CR- ratio of Compression with PSNR improvement, with maintaining picture quality, less bandwidth usage with better compression ratio which increase by increasing speed with the help of NVIDIA GPU.

Studying Children’s Eating at Home: Using Synchronous Videoconference Sessions to Adapt to COVID-19 and Beyond

The COVID-19 pandemic has disrupted many facets of developmental research, including research that measures children’s eating behavior. Here, children’s food intake is often measured by weighing foods that children are offered before and after in-person testing sessions. Many studies also examine children’s food ratings (the extent to which they like or dislike a food), assessed via picture categorization tasks or hedonic scales. This paper reviews existing research on different methods for characterizing children’s eating behavior (with a focus on food intake, preferences, and concepts) and presents a feasibility study that examined whether children’s eating behaviors at home (including their food intake and ratings) can be measured via live video-chat sessions. The feasibility analyses revealed that an observational feeding paradigm at home yielded a majority (more than 70%) of video-chat recordings that had a sufficient view of the child and adequate sound and picture quality required for observational coding for the majority of the session’s duration. Such positioning would enable behavioral coding of child food intake, parent food talk, and meal characteristics. Moreover, children were able to answer questions to stories and express their preferences via researcher screen-share methods (which can assess children’s self-reported food preferences and beliefs) with low rates of exclusion across studies. The article ends with a discussion on the opportunities and challenges of using online platforms to conduct studies on children’s eating behaviors in their home environments during the COVID-19 pandemic and beyond.

AUTOMATION OF CONTROL OF OPTICAL PARAMETERS OF IMAGE CONVERTER TUBES

The article proposes a scheme of an installation with a digital camera for automating the measurement viewing area picture quality and the output brightness non-uniformity ratio of an image converter tubes. The requirements for the CMOS-matrix and the lens for the digital camera used are formulated.

ADAPTIVE POWER CONTROL ON DVB-T SYSTEM BASED ON NO-REFERENCE PERCEPTUAL PICTURE QUALITY METRIC

Digital Video Broadcasting – Terrestrial (DVB-T) adalah salah satu standar broadcast televisi digital di eropa. Ketika mentransmisikan data melalui sistem DVB-T, noise merupakan masalah yang tidak dapat dihindarkan. Masalah tersebut dapat menyebabkan penurunan kualitas video yang diterima oleh end user. Berdasarkan penjelasan diatas, penulis mendesain sebuah adaptive power control on DVB-T system based-on no-reference perceptual picture quality metric yang dapat menentukan berapa banyak transmit power yang dibutuhkan oleh receiver untuk mendapatkan hasil kualitas video yang baik. No-reference image metric akan digunakan untuk membuat visual quality feedback di sisi receiver. Hasil dari image metric ini berupa nilai dalam bentuk angka yang akan dikirimkan ke transmitter sebagai feedback. Di sisi transmitter, ada explicit link adaptation yang mengatur power menggunakan perceptual quality (PQ-based) berdasarkan visual quality feedback. Hasil dari adaptive power control menunjukkan bahwa, ketika visual quality feedback menunjukkan angka dibawah 96 poin ( unacceptable quality ), power akan dinaikkan sebesar 0.05 dB untuk meningkatkan kualitas video yang diterima. Sebaliknya, jika visual quality feedback menunjukkan lebih dari sama dengan 96 ( acceptable quality ), power akan diturunkan untuk menghemat biaya power cost. Adaptive power control memberikan hasil yang sangat baik karena secara signifikan dapat mengurangi nilai visual quality yang buruk pada simulasi dengan menggunakan power sebesar 18 dB.