Miracle-dz/UniFAR-FTUs huggingface dataset:
Intelligent Agricultural Automatic Control System Based on Internet of Things

The advanced technology of the Internet and extensive agricultural transformation and upgrading have made the overall agricultural industry chain and modern agriculture better. In view of the high cost and suffering of traditional agricultural planting management, the Internet of Things (I O T) is applied to agriculture to realize real-time detection and intelligent management of crop growth conditions, remote control, and change the traditional agricultural equipment planting mode. The purpose of this article is to design and research the I O T automatic control (A C) system for smart agriculture. This article first introduces the core technology of the I O T through an overview of the basic theories of the I O T. Combined with the current status of agricultural automation in my country, the existing problems and deficiencies are analyzed. On this basis, use the core technology of the I O T to supplement and improve it. This article systematically expounds the overall scheme design, module function design and A C algorithm realization of the I O T brake control system. And use field investigation method, comparative analysis method and other research forms to carry out research on the theme of this article. Experimental research shows that the sampling data of the greenhouse is selected as the sample, the appropriate initial membership function is selected, and the fuzzy control rules obtained through the training of the fuzzy neural network algorithm are relatively correct. The output result of the automatic temperature control system is mostly consistent with the actual data on site. Overall, the temperature A C system designed in this subject can meet the A C requirements of agriculture.
Development of Head-On Conflict Model for Overtaking Maneuvers on Two-Lane Rural Roads Using Inductive Loop Detectors

The objective of this study is to develop a head-on conflict model through analyzing the influence of significant factors associated with head-on conflicts of two-lane rural roads in Iran, resulting from dangerous overtaking maneuvers. The effect of geometric, traffic, and environmental factors were investigated by applying traffic-conflict technique to 12 two-lane rural roads. Traffic data were collected via the inductive loop detectors installed on the roads and geometric parameters were obtained through field observations. The independent variables were percent of time spent following (PTSF), percentage of heavy vehicles, directional distribution of traffic (DDT), mean speed, speed standard deviation, type of section, surface width, longitudinal slope, type of day and lighting condition. A logistic regression model was developed, and the results showed that the increase in PTSF, surface width, longitudinal slope (1.5%–3%) and the decrease in mean speed and DDT are the main factors that increase the risk of traffic conflicts. In addition, it was found that most of traffic conflicts take place more on curved sections, at night, and on workdays. The two variables standard deviation of speed and percentage of heavy vehicles had no significant effect on the conflicts occurrence.
On-line Measurement Method and Technical Scheme of Transmission Line Crossing Point Based on Machine Vision

With the increasing demand for high voltage and UHV transmission, higher and higher requirements are put forward for transmission line monitoring and fault diagnosis. The traditional line measurement method has many shortcomings, which cannot ensure the measurement accuracy, measurement efficiency and high cost. Based on this, this paper first studies the principle of machine vision on-line measurement, then analyses the on-line measurement process of transmission line crossing point based on machine vision, and finally gives the error source and amelioration measures of transmission line crossing point on-line measurement.
An Acoustic Study of Production and Perception of English Vowels by Azeri English Learners 1

This study examined the 30 Azeri (AZ) EFL (English as a foreign language) speakers' production and perception of English vowels. Two experiments were carried out: A production test to measure the first two formants of the learners' English vowels, and an identification test with natural stimuli to investigate the L2 (second language) perception of English vowels. In the word list context, the participants read carrier sentences with the target vowels embedded in /hVd/ words. This study although investigated the relationship between the perception and production of English vowels by the Azeri speakers. In production test 11 English monophthongs were produced by male and female participants and the results were compared to Native American (AE) and British English (BR) productions. The production results revealed that the Azeri speakers produced some of the vowels closer to the AE, and some others closer to BR. Azeri speakers had difficulty in both producing and perceiving some English vowels in a native- like fashion. Some inter-gender differences were also found in this research. Importantly, a relationship between vowel perception and production was found because most of the target vowels which were better perceived were also the ones produced more accurately by the L2 learners.
Predicting the Macronutrient Composition of Mixed Meals From Dietary Biomarkers in Blood

Diet monitoring is an essential intervention component for a number of diseases, from type 2 diabetes to cardiovascular diseases. However, current methods for diet monitoring are burdensome and often inaccurate. In prior work, we showed that continuous glucose monitors (CGMs) may be used to predict meal macronutrients (e.g., carbohydrates, protein, fat) by analyzing the shape of the post-prandial glucose response. In this study, we examine a number of additional dietary biomarkers in blood by their ability to improve macronutrient prediction, compared to using CGMs alone. For this purpose, we conducted a nutritional study where (<italic>n</italic> = 10) participants consumed nine different mixed meals with varied but known macronutrient amounts, and we analyzed the concentration of 33 dietary biomarkers (including amino acids, insulin, triglycerides, and glucose) at various times post-prandially. Then, we built machine learning models to predict macronutrient amounts from (1) individual biomarkers and (2) their combinations. We find that the additional blood biomarkers provide complementary information, and more importantly, achieve lower normalized root mean squared error (NRMSE) for the three macronutrients (carbohydrates: 22.9%; protein: 23.4%; fat: 32.3%) than CGMs alone (carbohydrates: 28.9%, <italic>t(18)<inline-formula><tex-math notation="LaTeX">$=$</tex-math></inline-formula>1.64, p <inline-formula><tex-math notation="LaTeX">$=$</tex-math></inline-formula>0.060</italic>; protein: 46.4%, <italic>t(18)<inline-formula><tex-math notation="LaTeX">$=$</tex-math></inline-formula>5.38, p <inline-formula><tex-math notation="LaTeX">$< $</tex-math></inline-formula>0.001</italic>; fat: 40.0%, <italic>t(18)<inline-formula><tex-math notation="LaTeX">$=$</tex-math></inline-formula>2.09, p <inline-formula><tex-math notation="LaTeX">$=$</tex-math></inline-formula>0.025</italic>). Our main conclusion is that augmenting CGMs to measure these additional dietary biomarkers improves macronutrient prediction performance, and may ultimately lead to the development of automated methods to monitor nutritional intake. This work is significant to biomedical research as it provides a potential solution to the long-standing problem of diet monitoring, facilitating new interventions for a number of diseases.
IMPROVING ACCURACY OF BIG DATASET BASED SBWG METHOD AND KMCM

The main goal of the data mining process is to extract useful information from big data set and transform it into an understandable form for further use. It was not possible to extract useful information from the large datasets or data streams. Now this can be achieved by the capability of big data mining. The overlay based parallel data mining architecture executes processing by utilize the overlay network and fully distributed data management, which can achieve high scalability and service availability. Clustering is the method of grouping the information into different categories so that objects or information in one clusters are highly similar and dissimilar with object or information in other clusters. In the research different approaches separated data in form of the clustering and clustering are divided into different categories. Separated and mix information of objects into group those forms larger clusters and so on. In divided clustering different portion are created based on some criteria that are compared with well-known K-Mean algorithm given better accuracy. In this research in order to localization of point values to data sets are taken from well-known UCI machine learning repository. Experiments supported the quality information UCI show that the projected technique will turn out a high purity cluster results and eliminate the sensitivity. It is existing thing human being and totally different point values assign and minimize error values. During the implementation both existing scheme and k-means clustering method (KMCM) are applied on the datasets and try to find which algorithm provides good accuracy as compare existing method (SBWG). To provide the ability to make sense and maximize utilization of such vast amounts of web data for knowledge discovery . KMCM has proved to be more efficient in terms of quality and optimal result. In this experiment, successfully gets highest accuracy result to train dataset.
Osler-Weber-Rendu Disease: Two New Successes of Bevacizumab and Literature Review

Osler-Weber-Rendu syndrome (OWRD) is a rare vascular dysplasia of genetic origin and of autosomal dominant transmission, the pathophysiology of which involves the vascular endothelial growth factor (VEGF), a major growth factor of angiogenesis. Bevacizumab is an anti-VEGF monoclonal antibody that has demonstrated its interest in this indication. Two patients, with a personal and familial history of haemorrhagic syndrome, who had an OWRD detected in recurrent epistaxis, cutaneous-mucosal telangiectasia, and complicated visceral arteriovenous malformations with an iron deficiency anemia. Due to the persistence of the symptomatology despite a transfusion support, the treatment with bevacizumab was started and allowed a favorable outcome. Bevacizumab appears to be very well tolerated and represents a therapeutic advance in OWRD.
Control of Fungal Post Harvest Rot Agents of Groundnut (Arachis hypogea l.) Using Leaf Extracts of Moringa oleifera

Laboratory studies were carried out on the incidence and in vitro control of groundnut seed rot in Mubi. Rot occurred in all the three location surveyed and the average rot incidences in the market was 20%. MubiKuturu Market showed 23% as the highest percentage, followed by Mubi New Market with 20% and Mubi Old Market with 17%. Four organisms were isolated from the lesions on Potato Dextrose Agar (PDA) as follows; Aspergillusniger, Fusariumsolani, Rhizopusstolonifer and Aspergillusniger. The pathogen most frequently occurring was Rhizopusstolonifer with 67.22%, followed by Aspergillusniger with 15.56%, Aspergillusflavus with 15% and the least was Fusariumsolani with 2.22%. Pathogenicity test confirmed that all four fungal isolates from groundnut seed were pathogenic although at different level. Plant extracts employed to control the vegetative mycelial growth were from aqueous and ethanolic leaf extracts of drum stick at 20%, 40% and 60% concentration. In vitro application of extracts for the control showed thatethanolic extracts inhibits the mycelial growth better as compared to aqueous extracts. Level of inhibitions was highest in Aspergillusniger and least in Rhizopusstolonifer. There was a significant difference on vegetative growth of the fungi on both ethanolic and aqueous leaf extracts with increase in concentration at p= 0.0001 as compared with the control. It is recommended that the use of antimicrobials which are commonly found around the habitation of rural areas can be used to reduce the cost of chemicals and over reliance of small scale farmers on agricultural chemical.
Estimating post-disaster traffic conditions using real-time data streams

This article presents a technique to determine the effects of an earthquake on road traffic conditions by linking seismic hazard and bridge fragility models with a traffic model and traffic sensor data. Using the earthquake characteristics as an input to the traffic model, the traffic conditions are sequentially estimated given traffic sensor measurements using an ensemble Kalman filter. The proposed algorithm is tested on a numerical experiment on Interstate 155 West near the New Madrid Seismic Zone in New Madrid, Missouri. The results show that the proposed technique improves the post-disaster traffic estimate. The supporting source code and data are available for download at https://github.com/rotsuka/postDisaster_EnKF.
Library-based adaptive observation through a sparsity-promoting adaptive observer

This paper proposes an adaptive observer for a class of nonlinear system with linear parametrization. The main novelty of the technique is that the regressor vector is considered to be unknown. Instead, a library of candidate nonlinear functions is implemented, which transforms the original parameter vector into a new one that is characterized by being sparse. In such problem, it is shown that standard adaptive observers cannot recover the original vector due to a lack of persistence of excitation. Instead, a parameter-adaptation with an implicit l1 regularization is implemented. It is shown that this new observer can recover the parameter vector under standard assumptions of sparse signal recovery. The results are validated in a numerical simulation.
Capacitive micromachined ultrasonic resonator for ultra sensitive trace gas detection

The ultra-sensitive trace gas detection has become increasingly important due to the demand for environment and sci-tech progress. In recent years a capacitive micromachined ultrasonic transducer (CMUT) with circular diaphragms used for imaging has been successfully used to detect chemical gases, and shows promising results. However, its behavior is the same as that of CMUTs for ranging, imaging and therapy applications, where the acoustic radiation with a certain power, produced by the vibration of circular diaphragms operating at the first bending mode, is required but is undesirable for gas sensing since it disturbs inevitably the environment to be measured. This paper, therefore, presents to optimize its behavior after an ideal capacitive micromachined ultrasonic resonator (CMUR) and then to utilize second-order and high-order bending modes of the circular diaphragm to minimize its acoustic radiation and obtain higher resonance frequency also. Since the resonance frequencies of high-order modes much higher than the fundamental frequency, an ultra-high operating frequency of GHz can be reached so that raising greatly the sensitivity of the CMUR and being able to realize the ultra-sensitive trace gas detections.
COVID 19 GAP iNTERDISCIPLINARITIES – VOLUME - III ISSUE IV

After the lockdown declared by various countries in the world due to the spread of Covid 19 pandemic, the most innovative endeavor the teachers of English have undertaken so far is to integrate information or media technology in online ELT classroom, in order to improve learners’ motivation, integrated language skills and self - learning environment. The aim of this study is to statistically explore EFL learners’ response towards media technology in general and its impact in improving accentual patterns of individual English words in particular. It also explores the impact of internet and teacher’s r ole in improving learners' writing skill. Three statistical surveys were undertaken at Mumbai University affiliated colleges and the result of using electronic devices was found marvelous and interesting.
A REVIEW ON MICROMACHINING OF HIGH STRENGTH MATERIALS WITH CARBIDE TOOLS

1. Research Scholar, Shri JJT University, Junjhunu, Rajasthan, nvsrprasath@gmail.com 2. Professor, Department of Mechanical Engineering, Shri JJT University, Junjhunu, Rajasthan, anveshanacgoud@gmail.com Abstract: Metals can be machined at a microscopic level to produce small pieces. Micromachining for metal cutting has been thoroughly reviewed in this article. Understanding the mechanical behaviour of a specific material is critical to the success of party manufacturing. Material removal in micromachining and conventional machining is significantly different due to scale effects on tool geometry and workpiece materials. As a survey of recent microtool designs, materials, and fabrication methods, this work is presented. The effectiveness of Carbide tools is discussed, as well as new methods and strategies. The machining of hard materials and the accompanying process factors, such as internal cooling and surface patterning techniques, are of particular interest in this regard. The assessment concludes with proposals for an integrated design and fabrication process chain that can assist industrial microtool manufacturing.
A Comprehensive Approach to Formation Damage Diagnosis and Corresponding Stimulation Type And Fluid Selection

This paper describes a comprehensive approach to formation damage diagnosis. Once the cause of formation damage and the location of the damage is known, then one can select the optimum fluid and design the best treatment to remove the damage. The authors` approach combines the domain knowledge with the best available expertise, then uses new technologies, which include fuzzy logic and an expert system. The approach first diagnoses the formation damage mechanism, then they determine the treatment method, and finally they select the optimal fluids for the treatment.
First experimental results with the ISL 10 MJ DES railgun PEGASUS

A 10 MJ DES (distributed energy storage) railgun with 12 current inputs distributed along the 50 mm round bore launcher has been built at ISL. The power supply consists of 200 LCR pulse forming units of 50 kJ each. The 6 m long launcher tube containing the Cu-Cr rails is made of both wound glass fiber and wound carbon fiber reinforced plastic. This paper presents the facility and the first experimental results obtained by using projectiles made of Ti or equipped with metallic fiber-brush armatures. The triggering of the 12 DES stages is synchronized with the position of the projectile detected by B-dot probes located along the launcher tube. The currents delivered by the stages are measured by means of Rogowski coils surrounding the injection slots. The maximum total current reaches 2 MA resulting from the addition of the 12 current profiles of 800 kA delivered by each stage of the DES energy supply. The launcher has proved to have an overall efficiency of about 30%. Projectiles with masses ranging from 300 g to 650 g have been accelerated up to velocities of 2300 m/s. The quality of the electrical contact between rails and armature has been analyzed by electrical measurements and flash radiographs.
Sealed bid auctions: an application to the building industry

This paper examines some of the theory and practice of competitive tendering in the building iildustry. Allocation of building contracts by means of competitive tendering is one type of sealed bid auction. T\vo main strands of the theory of sealed bid auctions are developed. The first strarul identifies optimal mark-up given that each tender competition occurs in isolution. The second strand treats explicitly the sequential nature of tendering and resource constraints of tenderers. It emerges that the first strand is a special case of the second. A simple optimal bid price rule is identijed, which indicates that bid price for any one contractor will be affected by theresources availuble to the contractor and general market conditions. It is shown that bid prices will be more competitive the better the information available to tenderers, the more carefully is the tender list constructed and the greater the number of firms invited to tender. It is further shown, however, that little is gained by having more.
T HE D ESIGN C ONSIDERATIONS F OR S ECURITY A NA-LYZING T ECHNOLOGY I N EKM S YSTEM OF I O T

The Internet of Things (IoT) is high world-wide, and developments of various technologies to establish the IoT environment have been ongoing. In particular, massive IoT devices will be in our midst because the 5G technology that the world is paying attention to is about to be realized. Hence, security technologies should be introduced to secure safety for the IoT environment since it c an be the target of hacking or cyber intrusion. The encryption technology can be applied to security, and encryption key management is crucial since the core of the encryption technology is the safety of the encryption key. In this paper, we review the security vulnerability of IoT and recommendation/standard related to the encryption key. Then, we propose the factors to be considered in relation to the design of the technology to analyze the safety of efficient IoT EKM(Encryption Key Management) needed to construct a safe IoT environment.
Comparing and Contrasting Two Companies with High Performance Work (HPW)

Aspect Capital is a financial service organisation that is famous for it consistent and high levels of return through quantitative investment for hedge funds management. The company was founded in 1997 and it is based in London. On the other hand, W. L. Gore is a manufacturing company based in America. The company was founded in 1958. The company specialized in products derived from fluoropolymers. So, the company is a GoreTex manufacturer. The products of Gore include electronic, medical, waterproofing, fabrics, fibres, industrial filtration, industrial seals, coatings, and micro-filtrations. These companies will be compared and contrasted to find out their approaches to high performance work (HPW) and performance management (PM). The reasons for choosing Aspect Capital and W. L. Gore for this study is because the two companies apply High Performance Work, and could therefore provide sufficient areas for comparing and contrasting their approaches.