Determining the dynamics of carbon monoxide formation during gas welding processes

This paper reports a study of the air medium where welding processes take place, with special attention paid to the evolution of carbon monoxide (CO) in the working medium in the process of gas welding. Plots were constructed and polynomial dependences were obtained to show a change in the concentration of carbon monoxide in the air of the working area during gas welding. It was confirmed experimentally that the concentration of carbon monoxide exceeds the permissible sanitary and hygienic indicators MPC (20 mg/m3) during gas welding. As a result of the experiment, the effectiveness of the use of an additional device was proven, namely an umbrella gas concentrator, in order to capture welding gases that are formed during gas welding. It was established that the MPC is exceeded under certain working conditions and welding wire. The carbon monoxide formation during gas welding was analyzed; these processes were compared with electric arc welding. The mathematical dependences derived make it possible to assess the risks of the welders’ work and conclude that the electric arc welding is characterized by a much higher rate of CO evolution from the beginning of the welding process (8.5 mg/s), that speed then decreases over 20 s by 2 times (to 4.5 mg/s). In 90 s, the speed becomes constant, to 2 mg/s. In comparison, gas welding has almost the same rate of CO formation, namely 0.3–0.9 mg/s. By changing the types of welding wires used in gas welding and taking into consideration the type of material that needs to be welded (including the period of its use), it is possible to influence the volume of CO emissions entering the working area and an employee’s respiratory area

Device-Free Handwritten Character Recognition Method Using Acoustic Signal

In this paper, we propose a method for recognizing handwritten characters by a finger using acoustic signals. This method is carried out using a smartphone placed on a flat surface, such as a desk. Specifically, this method uses an ultrasonic wave transmitted from the smartphone, which is reflected by the finger, and an audible sound is generated when writing a handwritten character. The proposed method does not require an additional device for handwritten character recognition because it uses the microphone/speaker built into the device. Evaluation results showed that it was able to recognize 36 types of characters with an average accuracy of 77.8% in a low noise environment for 10 subjects. In addition, it was verified that combining an audible sound and an ultrasonic wave in this method achieved higher recognition accuracy than when only an audible sound or an ultrasonic wave was used.

The modelling of nonlinear distance sensor using piecewise newton polynomial with vertex algorithm

The Sharp GP2Y0A02YK0F is categorized as a nonlinear sensor for distance measurement. This sensor is also categorized as a low-cost sensor. The higher resolution, cheap, high accuracy and easy to install are the advantages. The accuracy level of this sensor depends on the type of the measured object materials, requires an additional device unit and further processing is required since the output is non-linear. The distance determination is not easy for this type of sensor since the characteristic of this sensor fulfills non-injective function. The modelling process is one of methods to convert the output voltage of the sensor to a distance unit. The advantages of polynomial modelling are simple form model, moderate in flexibilities of shape, well known and understood properties, and easy to use for computational matters. The obstacle of polynomial-based modelling is the presence of Runge’s phenomenon. The minimization of Runge’s phenomenon can be done with decreasing the model order. The piecewise Newton polynomials with vertex determination method have been succeeded to generate a nonlinear model and minimize the occurrence of Runge’s phenomenon. The low level of MSE by 0.001 and error percentage of 2.38% has been obtained for the generated model. The low MSE level leads to the high accuracy level of the generated model.

Smart and real-time door lock system for an elderly user based on face recognition

Many sophisticated smart door lock systems have been made. Still, most of them required the user to use an additional device such as a smartphone, tag, smartcard, or accessing some user interfaces, which is complicated to use for inexperienced elderly. This condition creates a gap between the elderly and technology which makes it difficult for the elderly to accept and use the technology. In this paper, we proposed a smart and real-time door lock system for an elderly user based on local binary pattern histogram as a face recognition algorithm with modular system architecture design. The novelty in our proposed system design, it does not require any additional device, it does not use any user interface, and the least user participation by automating the processes. All the user needs to do just walk toward the door and stand in front of it and the door will automatically unlock and locked back after the user enters the house and close the door. The system resulted in an accuracy of 98%, with an average processing time is 1.449 seconds for the entire process. Additional advantages, the system is designed with a modular approach that makes it flexible and scalable for further development.

Research results on expanding the conditions for the use of tractor-transport units on slope surfaces

At present, in the Amur Region, there is a further increase in sown areas due to the introduction of slope lands into circulation, on which there is the possibility of cultivating agricultural crops. As a rule, such plots are assigned to small peasant farms, which use them mainly to create a fodder base for the livestock industry. At the same time, the main problem remains the complexity of the delivery of goods over rough terrain due to the presence in organizations mainly of wheeled monoblock tractors of traction class 1.4-2, in which, when driving on sloping surfaces, the traction and coupling properties declared the manufacturing plant. The presented article presents the results of studies to improve the traction and coupling properties of tractor-transport units (TTA) by installing an additional device that allows you to adjust the coupling weight in the chassis of the unit when driving in fields with a significant slope angle. Keywords: TRACTOR, TRACTION-COUPLING PROPERTIES, ENERGY MEANS, SOIL, SURFACE, COUPLING WEIGHT

Electromyogram in Cigarette Smoking Activity Recognition

In this study, information from surface electromyogram (sEMG) signals was used to recognize cigarette smoking. The sEMG signals collected from lower arm were used in two different ways: (1) as an individual predictor of smoking activity and (2) as an additional sensor/modality along with the inertial measurement unit (IMU) to augment recognition performance. A convolutional and a recurrent neural network were utilized to recognize smoking-related hand gestures. The model was developed and evaluated with leave-one-subject-out (LOSO) cross-validation on a dataset from 16 subjects who performed ten activities of daily living including smoking. The results show that smoking detection using only sEMG signal achieved an F1-score of 75% in person-independent cross-validation. The combination of sEMG and IMU improved reached the F1-score of 84%, while IMU alone sensor modality was 81%. The study showed that using only sEMG signals would not provide superior cigarette smoking detection performance relative to IMU signals. However, sEMG improved smoking detection results when combined with IMU signals without using an additional device.

Smart Lock using Image Recognition

In the 21st century, for a digital lifestyle in a smart city, security is one of the core ingredients to ensure digital continuity. The existing smart security technologies use a smartphone, card, and fingerprint that need additional devices to carry or can spread out infectious diseases. Now it is high time to think about an additional device free and more time-consuming technique. So, an intelligent system is proposed in this paper to secure our doors with face authentication. The human face is a unique and easy identifying feature of a human. The registered user’s image is saved in the device as a dataset to train the lock. The system recognizes the registered faces very fast and controls the hardware part to be unlocked. The system is capable of detecting and recognizing human faces from a real-time video. It is usable in the door lock, car lock, hutch, and many more security purposes.

Влияние рассеянных электронов на коэффициент шума циклотронных защитных устройств

The influence of the scattered electrons of the beam on the noise parameters of cyclotron protective devices (CPD) of the microwave range is experimentally investigated. It is shown that the beam electrons scattered by the residual gas particles are a source of additional device noise. As an object of research we used commercially available samples of the CPD.

Compliant Mechanisms that use Static Balancing to Achieve Dramatically Different States of Stiffness

Stiffness in compliant mechanisms can be dramatically altered and even eliminated entirely by using static balancing. This requires elastic energy to be inserted before operation, which is most often done with an additional device or preloading assembly. Adding such devices contrasts starkly with primary motivations for using compliant mechanisms, such as part count reduction, increased precision and miniaturization. However, statically balanced compliant mechanisms with a fully monolithic architecture are scarce. In this paper we introduce two novel statically balanced compliant mechanisms with linear and rotary kinematics that do not require preloading assembly, enabling miniaturization. Static balance is achieved by the principle of opposing constant force and extended to a rotational device by using opposing constant torque mechanisms for the first time. A constant force mechanism based on existing work is used and inspired a novel constant torque mechanism. A single piece device is obtained by monolithically integrating a bistable switch for preloading, which allows static balance to be turned on and off. The linear device reduces stiffness by 98.5 % over 10 mm, has significantly reduced device complexity and doubled relative range of motion from 3.3 % to 6.6 % compared to the state of the art. The rotary device reduces stiffness by 90.5 % over 0.35 rad.