bluuebunny/crossref_metadata_2025 huggingface dataset:
Energy management System using Multi Agent Systems with IoT and Machine learning
Authors: Leo R , Raj V Vishwa , Vishal E , Vimalan K M , Dhanush G , Soorya S
Published: May 2021

This paper deals with a Dynamic, Distributed Energy Management in a Smart Micro-grid. At present, the energy management is done using a system called SCADA (Supervisory Control and Data Acquisition). This paper advocates the application of Multi Agent System for dynamic energy management. Economic and environment optimization is implemented by choosing the least cost renewable resource available at that time. The outcome of this paper is to show that MAS based control architecture can be used to optimize the energy management in a microgrid. Machine learning has been used for load forecasting and to improve the efficiency of the power grid and create a smooth operating environment.
Face Recognition and Database Management System for Event Participant Authentication
Authors: Hariharan R S , Agarwal Reema , Kandamuru Madhurya , Ashwath P
Published: May 2021

Physical uniqueness among each and every individual is the key factor for their identification. This paper discusses an Event participant authentication system that uses face recognition technology to facilitate the management of events conducted by organizations. The system identifies and authenticates participants in less time and eliminates organizers’ involvement. It uses database management to maintain the records of participants successfully registered for an event along with their images stored in the database. With high speed and accuracy, the facial recognition system will find out if a person is registered and authenticated to participate in an event or not. Also, the system ensures that the participant’s details are correct, and more number of participant’s verification does not delay the event unlike when the manual verification is performed using an excel sheet or E-mail validation.
Prediction of Heart Disease Using Machine Learning
Authors: Kalpana P , Shiyam Vignesh S , Surya L M P , Vishnu Prasad V
Published: May 2021

We want to give adherence to situ to identify the symptoms of heart disease in the first stage and stop it, given the increased increase in stroke rate at the tender level. It’s funny for the average man to show the more expensive electrocardiogram questions every day. Because of this, there should be a favorable consensus in the area at a consistent time when the risk of heart disease is predicted. For this reason, we want to create an Assistant in the nursing framework that can predict the risk of heart disease based on key indicators such as age, gender, and heart rate. Neural codes for learning neural codes are well tested to be the most reliable and robust, and as a result, included in the predicted correlation.
Screening the Condition of Diabetic Retinopathy in Infected Retinal Images
Authors: Kalirajan K , Priyadharshini A , Kirubalani A , Naveen N A , Praveen Kumar R , Balamurugesh R
Published: May 2021

In recent days, most of the diabetic patients are affected by vision problem due to Glaucoma. In many cases, an untreated glaucoma will lead to loss of sight. To avoid such complications and to identify the risk well in advance, a new image processing based approach is presented in this article. This method detects the existence of hard exudates and evaluate the brutality of the threat based on the extracted features. The proposed method involves three stages of process such as extraction of region of interest (ROI), feature selection and abnormality classification. Initially, a region of interest is calculated using segmentation and the foreground features are selected by estimating the presence of hard exudates from the centre of the optical disc. Finally, the severity of DR is identified with the help of extracted features based on the Bayes classifier. Experiment was carried in MATLAB environment and the performance was evaluated using the metrics such as accuracy, precision and false alarm.
Social Distancing Analyzer Using Computer Vision and Deep Learning
Authors: Shalini G V , Margret M Kavitha , Niraimathi M J Sufiya , Subashree S
Published: May 2021

In the fight against the coronavirus, social distancing has proven to be an effective measure to hamper the spread of the disease. The system presented is for analyzing social distancing by calculating the distance between people in order to slow down the spread of the virus. This system utilizes input from video frames to figure out the distance between individuals to alleviate the effect of this pandemic. This is done by evaluating a video feed obtained by a surveillance camera. The video is calibrated into bird’s view and fed as an input to the YOLOv3 model which is an already trained object detection model. The YOLOv3 model is trained using the Common Object in Context (COCO). The proposed system was corroborated on a pre-filmed video. The results and outcomes obtained by the system show that evaluation of the distance between multiple individuals and determining if rules are violated or not. If the distance is less than the minimum threshold value, the individuals are represented by a red bounding box, if not then it is represented by a green bounding box. This system can be further developed to detect social distancing in real-time applications.
Instance Level Human Parts Detection Using Artificial Neural Networks and Deep Learning
Authors: Sandhya G , Poornima S , Preethi S , Priyadharshini B
Published: May 2021

To comprehend the visual world, be that as it may, a machine doesn’t better comprehend the presence between objects. Individuals are consistently conveying and it is a significant practical and scientific challenge to distinguish relationship among people and items. The recommended data set depends exclusively on the COCO, the principal portrayal of human pieces, which incorporates complex pictures and a wide scope of photos. We take human parts (a) as bounding segments, (b) an assortment of structures alongside face, head, hand and foot, and (c) subjected associations between the individual segments and the human segment to address the variety of the human body in common scenes (d) grain structure in the both the hands and foots. Human Coco Parts incorporate motion acknowledgment, face/hand primary concerns recognizable proof, visual movement, humanism encounters and virtual realities, some more compelling frameworks and examinations can be centered around COCO Human Parts. This article figures the subordinate connection with an anchor free branch between the occasion of an individual and a person. Broad tests exhibit Region-based Convolutional Neural Networks(R-CNN) Hier’s efficiency and development.
Sign Language Recognition Using Convolutional Neural Network
Authors: Nandhini A Sunitha , Shiva Roopan D , Shiyaam S , Yogesh S
Published: May 2021

Sign language is a lingua among the speech and hearing-impaired community. It is hard for most people who are not familiar with sign language to communicate without an interpreter. Sign language recognition appertains to track and recognize the meaningful emotion of human-made with head, arms, hands, fingers, etc. The technique that has been implemented here, transcribes the gestures from sign language to a spoken language which is easily understood by the listening. The gestures that have been translated include alphabets, words from static images. This becomes more important for the people who completely rely on gestural sign language for communication tries to communicate with a person who does not understand the sign language. Most of the systems that are under use face a recognition problem with the skin tone, by introducing a filter it will identify the symbols irrespective of the skin tone. The aim is to represent features that will be learned by a system known as convolutional neural networks (CNN), which contains four types of layers: convolution layers, pooling/subsampling layers, nonlinear layers, and fully connected layers.
Identification of spammer and fake accounts on social networks
Authors: Alaguvathana P , Suganya R , Ilampiray P , Sriraam N , Premkumar M
Published: May 2021

The existence in the electronic world is dominated by rechargeable conversations. The emails from advertisers and online communication companies end up being junk most often because their receivers are bombarded with promotional messages which are meaningless to them. Unwanted emails are a form of email correspondence. Because of email spam, there is a requirement to block and separate undesign ned messages. Many email-snoise ltering algorithms and computing techniques have been developed, but spammers continuously adjust their spam methods to stay one step ahead of them. We present here a method which makes use of binary and continuous probability distributions for the creation of spam. Naive Bayes and Decision trees How much model error affects the decision tree’s efficiency and accuracy is measured. The classi er with the best accuracy to correctly distinguish non-spam and nonspam emails has been found. this error also results in increasing the roll-out of invalid information to unnecessary customers, as well as increasing the probability of including harmful elements. The problem of spammers and scammers in today’s online communities has been known in some circles for some time. At the moment, play out a search of ways to identify Twitter spam methods A conceptualisation of the Twitter recognitions shows that the techniques lean toward recognising fakes, (ii) in places, (iii) web clients, and (iv) spammers use URLs to assist in making the product. Furthermore, the procedures may be analysed, including, for example, customers, material, structure, and time. It’s reassuring to know that this exhibition would be a source of understanding for researchers on social media on their own.
Forest Fire Alerting System with GPS Co-ordinates Using IoT
Authors: Maheshwari Latha , Janet J , Jeevanandham S , Kausic S , Manish M
Published: May 2021

In the advancing world, it is very crucial to protect our environment. Many incidents of man-made and natural disasters were happening around the world. Forest fires are one such catastrophe for environment. Once the fire inside deep forest starts, it burns and destroys everything and spreads everywhere within the forest. Such forest fires disasters should be curbed in order to protect fauna and flora habitats in the forest. The objective of this work is to design and implement an IoT based system which is self-sustaining and would predict and detect the forest fires and sends the exact location to concerned officials which would help firefighting personnel to extinguish the fire in the location where it starts slowly.
Reduced Switch Count Multilevel Inverter with Fault Diagnosis Operation
Authors: Vivekanandan S , Hari Priyadharshini A , Harshinee Sakthi S , Hephzi A
Published: May 2021

This paper proposes a reduced switch count multilevel inverter with fault diagnosis operation to overcome the problem of a higher number of switches in a multilevel inverter and fault detection in a multilevel inverter. A multilevel inverter is a power electronic device with low switching losses and low total harmonic distortion that is used in high voltage and high power applications (THD). In a standard inverter, it’s often used to minimise the size and number of passive filters. The H-bridge topology is needed for the proposed model of reduced switch count multilevel inverter (RSC – MLI). It is used to achieve higher power ratings as well as to promote the use of renewable energy sources. It reduces switching errors and the number of power electronic switches, cost and lower order harmonics. As the number of levels and steps in the waveform increase, the harmonics in the output voltage waveform decrease, resulting in an ideal waveform that looks like a sinusoidal waveform, which reduces the harmonics at the output. Switching losses and power losses can be minimised by using a limited number of switches.
Elliptically Bended Coupler with Arbitrary Power Division
Authors: Chandra Prasad V , Deepika S , Jeevitha E , Hariharan N , Harikrishna M
Published: May 2021

In this paper, we propose a 1.8 GHz microwave coupler with arbitrary power division. It consists of a wideband unequal power division hybrid coupler with higher-order harmonic filtering that covers all GSM (0.8 GHz – 1.9 GHz) and WiFi (2.4 GHz) bands. The architecture consists of a 4 port unequal power division, which is usually of the 0° and 180° coupler types.
Automatic Sensor Network analysis for Landslide Detection System
Authors: Reethika A , Prakash T M , Pranao S Kavin , Raj D Karan , Kumar K Rakesh
Published: May 2021

Landslides is one of the most dangerous geologic hazards that can occur in almost any country on the planet. Landslides kill and injure thousands of people each year around the world, as well as cause significant losses in a short period of time. To save many lives, effective technology must be developed in a timely manner. Sensor Networks is a vital role to monitor the environment. Several online and real-time intensive care studies on landslide recognition were conducted on soil dislocation caused by non-natural rainfall and earthquake. To build an advanced level early warning landslide monitoring system based on the “Internet of Things” using a wireless sensor network. This is a high-level project that can monitor the earth’s vibrations, temperature, humidity, and soil moisture. All of these sensors are linked to various IoT Nodes, which form the entire network. The number of nodes may be increased or reduced depending on the situation. A single Blynk-designed smart phone software is used to track all of the Landslide detection nodes. Data from sensors reveals that each parameter has the potential to be used in landslide monitoring.
Health Monitoring System Using IOT Sensors Network
Authors: Maheswari Latha , Singh T Jimry , Balachandran M , Varsan S Hari
Published: May 2021

In healthcare not only sensory instruments, but also in connectivity, recording and display systems, technology plays an important role. It is important to keep track of different medical parameters and post-operative days. As a result, the most recent advancement in healthcare communication methods using IOT and LIFI has been adopted. The Internet of Things (IoT) acts as a catalyst for healthcare and is used in a wide variety of applications. The Arduino microcontroller is used as a conduit in this project to connect with a variety of sensors, including a temperature sensor, a respiratory sensor, and a heart rate sensor. The microcontroller collects sensor information and transmits it via IOT to the network, and thus monitors medical parameters in real time. The physician will view the data at any time. Furthermore, the controller is attached to the buzzer to signal the controller to change the sensor output. The key problem with remote patient surveillance systems is that only approved users can view data remotely and provide the data for the target end. The issue of protection can be solved by sending documents over the internet, which is secured by password, and the doctors will access the information via the html web page. Warning message is sent to the doctor via IOT attached to the controller next to the instance of extremity. This is why this machine can effectively accomplish rapid provisional medicines. With low energy consumption, fast set-up, high performance and time to time response, this device is capable.
Swallowable Glass Pill for Digestive Motility & Toxin Detection Using Cell-Based Biosensor
Authors: Suguna R , Shanmugapriya M , Nishanthi S , Saranya V , Sowmiya J
Published: May 2021

Beginning from the era of evolution, humans are biased towards constructivism to subtle the amplitude of strains confronted due to the dominance of will to ease the tasks. Enhancement of health and prevention of delicacy is inevitably predominant in the evolutionary trajectory. Delicate diagnosis is still serving as the contemporary hassle in the biomedical domain. Meanwhile, the bias towards the digital pills shows the hockey-stick traction among the experts and masses anticipating accurate diagnosis. Imparting the interdisciplinary contexts, smart drug adopting the principles of micro technology is capable of sensing the pH level, temperature, conductivity, DO (dissolved oxygen) and so on. Though there are many ways to deliver the smart pills inclusive of oral, transcutaneous and implantable drug delivery, the most opted delivery method is swallowable smart pills. Therefore, the paper approaches with the incremental smart pill technology integrated with cell-based biosensor for monitoring and analyzing the gastrointestinal motility through which the transit of ingestion and motor function can be diagnosed and toxins are detected such as mycotoxin, food-borne toxins, marine toxins and botulinum neurotoxins with more accuracy.
IoT based smart grid using node MCU
Authors: Revathi R , Nivedhitha A , Priyadharshini J , Rashmithaa K M
Published: May 2021

In recent decades energy crisis and global warming has raised, so we have motivated development and use of sustainable, alternative, clean sources. We have added the renewable energy sources, that is solar generation for the energy production. Smart grid enables integration between conventional power and renewable energy sources. This paper describes about the usage of grid power and renewable sources in an ideal manner. This aims at designing and developing a smart grid system with the use of renewable energy and IoT technology. The ultimate goal is to provide No-interrupted sources daily needs and for the future.
An IoT Based System for Monitoring the Environment
Authors: Duraipaandiyaan A P , Sathyamoorthy S , Vishnuvardhan M , Devi S Siamala
Published: May 2021

Air pollution is one of the biggest challenges of our daily lives. It affects human well-being by hypersensitivity and other pulmonary infections, which can lead to death. The growth of industries and automobiles donates more to air emissions. Natural air is important for all humans, and various developments have been used to constantly check air quality. This role offers a kind of continuous observation system for atmospheric emissions where the grouping of large poisonous gases into the air is detected using cost efficient sensors. This system shows the air quality reliably in a cloud by using an Internet of Things (IoT) scene, which is efficiently experienced from our PC or PDA. Nevertheless, the system includes an arrangement to store previously estimated details. This helps experts to study the air existence of the territory they are searching for a while for important purposes. Likewise, the frame identifies air quality and sends signals to the partners when the assessment of pollutants rises above a specified amount. In addition, it can be well implemented everywhere to check air quality in a smart smaller plan.
A Novel Session Password Security Technique using Textual Color and Images
Authors: Kavitha Rani P , Sai Krishna R , Siddarth U S , Vidya Sagar E
Published: May 2021

Traditionally people will be using a weak password that has to be often changed can be influenced by a dictionary attack, shoulder surfing, and other methods of password cracking. After the past years, graphical passwords came into existence however; they are not as useful as the traditional password method, since they take more time to authenticate the passcode. As a result, this paper has taken a study of session password strategy in which the password is used only once for each session and, as that session ends, the password no longer provides access. The suggested session password scheme would us a “text” session password. Once upon a time, textual passwords were the most often used technique for authentication. Password are vulnerable to many scenarios, such as shoulder surfing, social engineering attacks, and lazy password selection. Graphical keys are introduced as a way to express very important passwords. Nearly all of the graphical schemes are vulnerable to shoulder pack design. To contend with the downside of being unable to remember passwords, pictures may be used to pair with session passwords for authentication. A session secret of a completely new password can only be used any time a new password is created. During this article, two approaches are expected to become a welcome cure for depression with an in-session approach that is unpredictable to shoulder ache and color. Strategies for Digital Assistants that is suitable for private uses. The proposed system measures the security and usability of the proposed system and displays the assistance of the proposed system to shoulder surfing assault.
Real-Time Social Distance maintaining using Image Processing and Deep Learning
Authors: Senthil Murugan K R , Kavinraj G , Mohanaprasanth K , Ragul Krishnan B
Published: May 2021

Quite possibly the most and best measures to contain the new popular episode is that the upkeep of the purported Social Distancing. The widespread Covid infection 2019 (COVID-19) has carried worldwide emergency with its lethal spread to very 180 countries. This paper shows the procedure for social separating recognition utilizing profound figuring out how to check the space between individuals to relieve the effect of this Covid pandemic, this content proposes a profound learning based system for robotizing the assignment of observing social removing utilizing reconnaissance video. Revelation instrument was made to form people mindful of manage an ensured distance. An information from the camera source utilized as video graph, as necessities be the open-source object territory model maintained the YOLOv3 object divergence model to disconnect people from the inspiration and Deep-sort thanks to affect oversee follow the apparent individuals with the assistance of bobbing boxes and dispatched IDs. The space between people is much of the time evaluated and any defiant pair of people inside the introduction are shown with red packaging and line. The future procedure was affirmed on a pre-recorded audiovisual of people by walking around and about. The outcome shows that the proposed strategy is in a situation to work out the social removing measures between various individuals inside the video. These system are consistently moreover developed as an ID mechanical assembly continuously application.
IoT based Intelligent Car Security System using IRIS image features
Authors: Babu G , Soniya M
Published: May 2021

A major crisis for car owners is that they are in persistent fear of having their vehicles stolen from parking area or outside their dwell. Connected to vehicles, cyber security takes on a much progressively imperative job such as frameworks and segments that administer security must be shielded from unsafe assaults, unapproved access and harm. Image processing based real time vehicle theft detection and prohibition system provide an optimum solution for this issue. This project provides a solution for car hacking and theft detection with the help of image processing-based application by using embedded system. All articles must contain an abstract. The IoT based iris door lock and unlock is the optimal method for the security in automative domains. From this work can understand the concepts of digital image processing and iris recognition to a greater extent.
A Secure Digital E-Voting Using Blockchain Technology
Authors: Geetha S K , Sathya S , Sakthi Sree T
Published: May 2021

In digital electronic voting security is always the biggest anxiety. In existing system, the EVM system used, when compare to the conventional paper ballot system EVM reduces the time for casting vote and result announcement, but still having many issues there is the risk that the election authorities can able to change or remove the vote therefore chances for violating its secrecy. The entire system may rigged by any third party. Blockchain technology provide secure electronic voting platform, which is a decentralized, peer-to-peer transaction ledger enables every vote that is casted will be consider as an individual transaction which creates transparent and secure environment for elections, where the users will be able to cast their votes only once and will be able to view the total votes casted in real time without having the permission to edit the same after election gets over. These votes will be counted and the results will then be announced. This work achieves by solving the issues of digital voting systems and a mechanism to boost the number of voters and their trust in the electoral process.
Text mining methods for online topics and reviews using machine learning
Authors: viraja ravi S , Dilip kumar B , Gokhul Raj S P J , Divyacharan A
Published: May 2021

The objective of recommender frameworks is, fundamentally, to assist individuals with finding things they may like, i.e., things that fit their inclinations, character, and needs. Depending on the individual space, those things can be books, films, music, inns, and significantly more. Normally, suggestions are in view of past client collaborations (e.g., films a client saw, lodgings a client booked, and so forth) This work in progress paper centers around news recommender frameworks. In view of the idea of information (e.g., continually new things, short thing lifetime, and so forth), proposals in view of past cooperation are particularly difficult to make. Subsequently, news recommender frameworks intensely depend on the genuine substance of information. While past work fundamentally considers one part of the substance of news stories, we together examine and talk about in this work a given corpora of news stories on three unique levels (i.e., archive level, subject level, and creator level). The generally point is to set to give the premise to an extensive news recommender framework, which comes to past exactness and considers likewise variety and luck. We exhibit that significant data can be extricated out of a given corpora, and contrasts in creator, time, and theme can be appeared. Moreover, the creator level investigation shows that records can be grouped in view of the composing style of creators.
Smart Home Automation System Using Wireless Sensor Networks
Authors: Thanveer Ram R , Saron Sekar G , Syed Ibrahim M Z , Balaji V R
Published: May 2021

The architecture explains how load energy consumption readings can be digitised and shared through the internet. Human presence in electricity maintenance is eliminated with the proposed machine style. By having a channel id for the load, A webpage can be used to monitor energy usage in watts. The webpage makes use of THINGSPEAK analytics to look at energy use and provide a detailed overview and visual representation of the data. The Wi-Fi unit performs Cloud computing by providing load energy data to a website usable via the device’s channel id.. Client can control resources inside the proposed framework by tracking energy consumption over time. The Arduino microcontroller is used in this system. The created unit is frequently shown on the webpage via the Wi-Fi module. Wireless Sensor Networks, Power, Voltage, Current, and ZigBee are some of the terms used in this paper.
Deep Learning Based Multiple Object Detection
Authors: Karthika J , Mohammed Imtiaz H , Deepakdharsan M , Akash B , Adimulam U
Published: May 2021

Improvement of automation increases rapidly by deep learning-based object detection. If the small objects are detected by YOLO V3 network, the identification result will not be much successful, so we introduce new technology to find the very small objects by 8X downsampling rate. We modified the YOLO V3 network using LaSOT with the help of anchor values and prediction layer of 4X downsampling layer, this helps to detect very small objects very accurate.
Proposing A Table for Weighing The Characteristics of Stratified Samples Instead of Mathematical Equations to Study Soil Characteristics Statistically
Authors: Al-Juraysi S. M. , Mhede I. R.
Published: May 2021

We sampled a total of four sites and four soil characteristics were selected to review some results and how to calculate the weight of these characteristics. This method of weighing soil characteristics can used in some soil surveys and classification studies, especially with regard to land evaluation and degradation studies, as well as characteristic variations, especially the delineation of soil horizons are affected by lateral and vertical variation in soil properties, which are texture, gypsum, lime, ECe, ESP, and CEC as their importance increases at the soil surface and decreases with depth as it is related to plant growth and nutrient processing, and thus it was given more weight in the upper horizons and less weight with depth, as well as studies that are concerned with finding a single value representing the pedon and not depending on the value of the characteristic in the surface horizon only. This suggested table helps in making the calculations easier and eliminates the use of the scientific calculator by converting the results of the equations in the form of a table that contains all the possibilities of variation in the thickness of the horizons. These values have been set to more than the effective depth of the soil, which is adopted within the first meter. The table has been designed for a depth of two meters in case the study requires more depths.
Surface, Subsurface Drip and Nano-Oozing Irrigation Effects on Some Physical Characteristics of Tillage and Untilled Soil
Authors: El-Obeid A. K. , El-Shaabani E. M. H.
Published: May 2021

A field experiment was conducted in Habbaniyah sub-district / Khaldiya district / Anbar governorate, western Iraq, in silty loam soil during the autumn season 2020, to study the effect of surface and subsurface drip irrigation and nanotechnology spurting on the bulk density, saturated hydraulic conductivity and penetration in plowed and non-Tillage soil. Irrigation was performed upon depletion of 50% of the prepared water, and the treatments were distributed according to the Nested-Factorial Experiments Design with three replications. Corn was planted, (Furat class), on 7/15/2020. The American evaporation basin Class A used for irrigation as a first indicator.The results showed an increase in bulk density after planting in general in surface drip irrigation, it reached 1.45 mg.m3 and 1.38 mg.m3 in subsurface irrigation for both of the tillage systems, while the tillage process didn’t significantly affect the bulk density values. The values of saturated hydraulic conductivity decreased after planting in general compared to before planting, except for the non-tillage irrigation treatment, which increased from 9.28 to 10.31 cm hr -1, penetration decreased from 6.58kg cm2 before planting to 1.83 after cultivation without tillage, while the opposite occurred in non-Tillage soils,which increased from 0.63 kg.cm2 before planting to 1.28 kg.cm2.
Effect of adding Toxisorb Premium, vitamin E, glucosamine, and Saccharomyces Cerevisiae to contaminated rations with aflatoxin B1- on aflatoxin B1 concentration in the liver and eggs of laying hen
Authors: Ali M. H. , Al-Hamdani A. A. Y. , Alwan M. A.
Published: May 2021

This study was conducted to demonstrate effect of adding Toxisorb Premium, vitamin E, glucosamine, and Saccharomyces Cerevisiae to contaminated rations with aflatoxin B1- on aflatoxin B1 concentration in the liver and eggs of laying hen. One hundred sixty Brown Lohman laying hens were used, all hens were distributed randomly into eight treatments, each treatment had 4 replicates, each replicator has 5 chickens were distributed in cages after dividing them into 32 pens. This experiment was conducted for twenty weeks (140 days), first treatment (T1) was an essential diet without addition, and it was considered as control group, (T2) was an essential diet with aflatoxin added at a concentration of 2 mg/kg feed, (T3) was a standard diet with an Toxisorb Premium added at a concentration of 4 g/kg feed + 2 mg aflatoxin, (T4) was a based diet with added vitamin E at a concentration of 300 mg/kg feed + 2mg aflatoxin, (T5) was a base diet with glucosamin 100 mg/kg feed +2 mg aflatoxin, (T6) was a basic ration with added Saccharomyces Cerevisiae (SC) 4 g/kg feed +2 mg aflatoxin, (T7) was a basic ration with added mixture of (Toxisorb Premium + vitamin E + (SC)+ aflatoxin) with concentration of 4 gm + 300 mg + 4 g + 2 mg / kg feed respectively, The second group was significant increase competed with ( first, third, fourth, fifth, sixth, seventh and eighth groups) in residual aflatoxin B1 in the liver and eggs, The residual aflatoxin toxins in the liver and eggs were (10.7 and 4.6 ppm) respectively. We concluded from this study that the feed additives reduced aflatoxin B1 concentration in the liver and eggs and increased the cells’ resistance to eliminating these toxins.
A new approach in production system of local layer in Iraqi Kurdistan Region
Authors: Al-Sardary S. Y. T. , Mustafa H. A.
Published: May 2021

The study was conducted to investigate the effect organic system on performance of local layer as a first attempt to apply organic system in the area. A total 360 one-day-old local mixed colored hatched at Evan hatchery- Erbil from eggs brought agricultural research Baghdad chicks were reared in 18 pen s indoor 2×2 m for the first 18 weeks of bird’s age and each box represented a replicate contains of 20 chicks At beginning of birds assigned to the same condition and fed the weekly requirement according to Isa Brown guide (2018) on two types of fees as commercial and organic .Birds were randomly divided into six (6) treatment groups and three (3) replicates per treatment- first treatment (T1): as control their full requirements according to Isa Brown layers guide (2018) fed commercial feed reared indoor house, second treatment (T2): birds fed organic feed full requirements according to Isa Brown layers guide (2018) reared indoor house, third treatment (T3): birds fed 75% of full requirements commercial feed + pasture indoor and outdoor, fourth treatment (T4): birds fed 75% full requirement organic feed + pasture indoor and outdoor, fifth treatment (T5): birds fed full requirements according to Isa Brown layers guide (2018) commercial feed + pasture indoor and outdoor housed, while sixth treatment (T6): birds fed full requirements according to Isa Brown layers guide (2018) organic feed + pasture indoor and outdoor housed. At the beginning of week 19 all birds had free access to pasture through a hole from indoor to the outdoor except control T1 and T2 birds housed indoor. The outdoor area measured 2 × 10 m (1 m2/bird) for each box and separated by fence. The outdoor area designed to provide bird a natural behavior and covered with alfalfa (Medicago sativa).The results of this study indicates that haugh unit was (67.14). Total UFA and n-3 in T2 of local egg were higher (P<0.01) than other treatments. T3 had higher content of n-6 (21.13). Birds in T6 of local strain had higher (P<0.01) percentage of amino acids among treatments. The significant difference found between treatments of local strains profit for both eggs and hen with eggs. Significant differences found among treatments for sensory evaluation of local egg. T6 had higher (P<0.01) score of overall acceptances. . in this study results showed that local strain able to perform under organic and commercial condition. The egg properties and fatty, amino and sensory evaluation of local eggs under different production system were differed. Profits from eggs and eggs with hens were different depending on the production systems.
The Role of Extension Farms in Developing the Knowledge, Skills, and Attitudes of Farmers in the Provinces of Central Iraq
Authors: Al-Ansari A. I. , Hasan A. M. A.
Published: May 2021

The study aimed to identify the role of extension farms in developing the knowledge and skill capabilities of farmers in the governorates of central Iraq through the following areas (the extent to which extension farms depend on the preparation and planning process, coordination and cooperation with the relevant authorities, the dissemination and transfer of agricultural innovations, the use of modern means of communication, the conduct of Research and development of agricultural innovations to address the problems of farmers, interaction and reactions of farmers with extension farms, the possibilities available). Also, this study dealt with identifying the problems and obstacles facing work in those farms. This study included (66) respondents were representing all extension employees working in extension farms, which numbered (19) farms in (5) provinces. The questionnaire form was used as a tool to collect data from respondents after ensuring its validity and consistency, and results showed that the role of extension farms in developing and developing the knowledge, skills and attitudes of the targeted farmers is weak and not at the required level, and the study showed weakness in process of preparing and planning extension activities, and absence of coordination and cooperation process and integration with the relevant authorities, and there is a great perception in process of spreading and transferring agricultural innovations and the lack of use of modern means of communication to interact with farmers, and that extension farms do not implement scientific research procedures to address the problems and needs of farmers, as it has been shown that there are material and financial problems and obstacles facing the workflow in these farms. The lack of number of extension staff and their weak knowledge and skills expertise, as well as administrative and communication problems. The study included some scientific recommendations to address the weaknesses, which will contribute to improving the performance and efficiency of work in extension farms.
Study on structure strength design of large square opening of jacketed equipment
Authors: Shangguan Zhouxin
Published: May 2021

Due to the requirement of process, a large square opening is set through the wall thickness of shell and jacket of a jacked equipment, for which this equipment does not meet the design requirement of “design by rules”. In this paper, the geometric model of this jacketed equipment with large square opening is established, and then the finite element mesh model is obtained by the method of sweep. Based on this, a corresponding load is imposed on the inner and outer wall of the shell, the inner wall of the jacket, the inner wall of the square box flange, and the bolt section of the square box flange. And a fixed constraint is imposed on the cross section of the shell and jacket. Then the stress distribution is obtained by the analysis and calculation of the model. In the high stress areas, stress linearization method is used to check the strength. Different paths are set along the thickness direction of the shell, jacket, square box plate, etc. According to analysis of the results above, it is found that the large square opening structure of jacketed equipment satisfies the strength requirements under the calculated conditions, and the most dangerous area is the joint of square box and square box flange or the joint of shell and nozzle.
Study of fine tapping potential of poor reservoirs in late stage of high water cut
Authors: Xu Bochao
Published: May 2021

At present, the oilfield development has entered the late stage of high water cut, and the exploitation objects have been changed to the second and third types of oil layers. The distribution of remaining oil is highly fragmented and complex, and the exploitation difficulty is gradually increasing. In view of a series of geological characteristics of Development Zone A, such as “numerous layers, complex reservoirs, severe phase transition and high viscosity”, the potential tapping technologies of Class II and Class III reservoirs, such as combination of two and three and ASP flooding, have been carried out one after another. In order to further enhance oil recovery and increase recoverable reserves, a large number of fracturing measures have been implemented to increase oil production. In view of the fact that it is more and more difficult to select wells and layers by this measure, we combine the results of fine reservoir description with dynamic data, take Block B as the investigation object, establish the potential pool of sedimentary unit-level measures, recognize the potential distribution of 82 different sedimentary units, clarify the target units of potential tapping measures, and finally explore relatively perfect ways and means to optimize fracturing well layers, and strive to achieve targeted adjustment and accurately tap potential. At present, in the early stage of fracturing in this area, the average daily oil increase of a single well is 7.9 tons, and the above practices also provide empirical reference and guidance for other similar blocks.
Application Analysis of Oil and Gas Safety Active Protection System in the Sealing of Large External Floating Roof Tanks
Authors: Liu Yuedong
Published: May 2021

In the use of large-scale external floating roof storage tanks, the application of sealing performance is very critical, which is related to the safety of storage tanks to a certain extent. In the practical application of storage tanks, it is found that the main cause of fire problems in large oil storage tanks with external floating roof is caused by sealing problems. Therefore, it is very important to deal with the sealing performance of large-scale external floating roof tanks when they are put into use. In this paper, the active safety protection system for large-scale external floating roof storage tanks is analyzed, and its application is analyzed, including its structural design, functional design and working principle design, and its specific application in XX project is put forward.
Study on Mining Subsidence of Mineral Deposit and Overburden Stability Based on Probability Density Function
Authors: Han Bing , Zhang Yan , Fu Qiang , Hou Hanfang
Published: May 2021

Mining subsidence, a major geological disaster caused by underground mining, will seriously damage the land. In this paper, the author predicts the surface subsidence in mining subsidence area of certain mineral deposits and strata condition by applying the Probability Density Function Method, and designs two evaluation schemes for calculation of the overlying rock formation stability. Study results provide a reliable basis for the disastrous governance of mining subsidence in mining areas.
Application of LithoScanner Logging Technology in CO2 Geological Storage Injection Well
Authors: Yan Ping , Yue Xizhou , Kou Xiaopan , Hu Gang , Yin Qian , Chang Jinyu , Lai Fuqiang
Published: May 2021

The formation evaluation in a primary formation of a CO2 sequestration project in Western Australia has been very challenging due to the presence of glauconite and other iron rich minerals. The conventional method cannot handle the mineralogy effects, hence the accurate porosity, clay type and clay content cannot be calculated accurately. The latest generation in spectroscopy technology LithoScanner was brought to the project and run in well A for the first time in Australia. The tool has a high output pulse neutron generator and unique cerium-doped lanthanum bromide (LaBr3:Cr) gamma ray detector. This combination enables the tool to measure both inelastic and capture spectra for an expanded set of elements from that of previous-generation tools. We are measuring elements that make up more than 99% of the average abundance in the earth’s crust. Measuring the elements is the starting point to calculate minerals, matrix density and those are key to obtain accurate reserves estimates (porosity) and build an accurate petrophysical and reservoir model. For well A, the LithoScanner elements weight fractions are used in the Techlog QuantiElan module to solve mineralogy that includes quartz, K-feldspar, calcite, siderite, pyrite, illite, kaolinite, glauconite and chlorite. There is a very good agreement between the computed mineralogy and the mineralogy from core measurements. LithoScanner provides a continuous log of matrix density that is used as an input to porosity calculations. This formation evaluation based on Litho Scanner does not require the subjective inputs from the log analysis, but completely rely on the tool’s reading. It can be used for both simple and complex formation to obtain the good consistency and accurate answers.
Model and Suggestions on Classified Treatment of Rural Domestic Waste
Authors: Fan Zhiguo , Wang Jingwen
Published: May 2021

The classified treatment of rural domestic waste is an urgent need to promote the Rural Revitalization Strategy and an important way to meet the needs of people’s better life. With the rapid development of rural economy and society and the continuous improvement of farmers’ living standards, how to realize the reduction, recycling and harmless treatment of rural domestic waste has become an urgent issue for economic and social development. Based on the investigation of rural domestic waste classification and resource utilization pilot areas in Shaanxi Province, from the perspective of suppliers, this paper uses case analysis method to compare the basic situation, classification practice mode and suppliers of four pilot villages, and further comprehensively evaluate the domestic waste end classification degree, resource utilization rate and annual unit cost resource utilization of each pilot village Reduction and harmless treatment effect. It is found that: at present, rural domestic waste classification is faced with supply dilemma, institutional dilemma, capital dilemma and Governance Dilemma. To solve these problems, we must start from four aspects: building a diversified supply subject, establishing a long-term stable capital investment mechanism, establishing and improving the relevant legal system and integrated collaborative governance system, so as to promote the formation of farmers’ waste classification habit and form a waste management system Long term mechanism of garbage disposal.
Application of BIM modeling technology in Bridge Engineering
Authors: Su Jinjin
Published: May 2021

BIM (building information modeling) is a new engineering technology which appears at the beginning of this century. It takes the relevant information data of the project as the model basis, establishes the building model, and simulates the real information of the project through the digital information simulation technology. In recent years, China’s BIM Technology has gradually extended from the construction industry to the transportation industry, and has achieved good application in rail transit, bridge design and other aspects.
Research on Application of Anaerobic Treatment Technology for Domestic Sewage in Rural Areas
Authors: Ding Nan , Zhao Lei , Fei Wen
Published: May 2021

In the view of sewage treatment difficulties in rural areas and the needs of technological development, anaerobic treatment technology is analyzed from two aspects: technical principles and technical applications. Analysis believes that anaerobic treatment technology can strengthen the removal of refractory organic matter, nitrogen pollutants and sulfates, then improve the harmlessness of rural sewage. It has strong convenience in operation and requires less treatment costs. Anaerobic treatment technology is regarded as the most suitable technology foreign countries to treat the water environment in rural areas, and it has been widely used in domestic sewage treatment. Based on this, this article comprehensively analyzes the anaerobic treatment technology, and the application of anaerobic biological filter, UASB, UMAR and others in rural domestic sewage treatment.