Does Addiction Have A Subject?: Desire in Contemporary U.S. Culture

This paper traces the emergence of a new figure of the desiring subject in contemporary addiction science and in three other recent cultural developments: the rise of cognitive-behavior therapy, the self-tracking movement, and the dissemination of ratings. In each, the subject’s desire becomes newly figured as a response to objects rather than a manifestation of the soul, measured numerically rather than expressed in language and rendered impersonal rather than individualizing. Together, these developments suggest a shift in the dominant form of the desiring subject in contemporary U.S. culture, one that breaks with the subject-form that Foucault theorized five decades ago.

Effects of Future Information and Trajectory Complexity on Kinematic Signal and Muscle Activation during Visual-Motor Tracking

Visual-motor tracking movement is a common and essential behavior in daily life. However, the contribution of future information to visual-motor tracking performance is not well understood in current research. In this study, the visual-motor tracking performance with and without future-trajectories was compared. Meanwhile, three task demands were designed to investigate their impact. Eighteen healthy young participants were recruited and instructed to track a target on a screen by stretching/flexing their elbow joint. The kinematic signals (elbow joint angle) and surface electromyographic (EMG) signals of biceps and triceps were recorded. The normalized integrated jerk (NIJ) and fuzzy approximate entropy (fApEn) of the joint trajectories, as well as the multiscale fuzzy approximate entropy (MSfApEn) values of the EMG signals, were calculated. Accordingly, the NIJ values with the future-trajectory were significantly lower than those without future-trajectory (p-value < 0.01). The smoother movement with future-trajectories might be related to the increasing reliance of feedforward control. When the task demands increased, the fApEn values of joint trajectories increased significantly, as well as the MSfApEn of EMG signals (p-value < 0.05). These findings enrich our understanding about visual-motor control with future information.

Development of a Mathematical Model for Tracking Movement of a Human Limb in Three-Dimensional Space Using MEMS Sensors

This article discusses the development of a mathematical model for a device capable of tracking the movements of a human limb based on the readings of microelectromechanical sensors. For developing and selecting the most suitable model, experiments were conducted based on publicly available components. The result obtained is of practical importance since it can be used to create a device.

Inspeksi Usabilitas pada Locomotion Tiga Aplikasi Realitas Virtual Berbasis Cardboard

Realitas virtual memerlukan mekanisme interaksi yang menggerakkan pengguna di dunia (locomotion). Hingga saat ini sudah banyak aplikasi realitas virtual yang dikembangkan, seperti pada bidang permainan, kesehatan, dan navigasi. Penelitian ini berfokus menemukan masalah usabilitas locomotion pada aplikasi realitas virtual. Aspek tersebut dievaluasi dengan beberapa locomotion yang berbeda terhadap tiga aplikasi permainan. Analisis ini dilakukan untuk mendapatkan ringkasan informasi berupa locomotion yang menjadi masalah pada ketiga aplikasi realitas virtual. Hasil penelitian menyatakan bahwa masing-masing responden memiliki perbedaan kriteria pergerakan sistem yang efektif. Locomotion dengan tingkat kesulitan pergerakan yang berbeda akan berpengaruh pada masalah usabilitas dan memiliki efek samping yang berbeda. Locomotion movement 1:1 memiliki nilai modus tingkat ketidaknyamanan yang tinggi dengan skor 3, pengguna merasa sakit dan mengalami efek samping. Locomotion rail movement dan head-tracking movement memiliki tingkat kenyamanan yang tinggi sehingga pengguna tidak merasa sakit dan tidak mengalami efek samping. Kata Kunci: cardboard, interaksi, locomotion, realitas virtual, usabilitas

Object Detection Method by using Yolov3 with Machine Learning

Detecting the object is a vision technique of a computer for detectng or locating long distance or short distance objects and images. Object detection algorithm mainly works on the machine learning and the artificial intelligence algorithms. Present trending algorithm in detecting the object is deep learning algorithm, By using the deep learning algorithm we can get the accurate results of the object which is detected. it is mainly or widely used in the system vision tasks like video object co-segmentations, tracking movement of the ball in the ground, image annotating etc. Each and every object has its own features ,for example if you select the ball , Actually all the ball are in the round shape but in every game different type of balls are used ,object detection camera will detect the ball it will check the ball specifications with its data if any data was matched with its data base the system will display all the specifications of ball. By using the deep learning algorithm we introduced one new technique to detect detect object accurately the algorithm is named as the YOLO V3 we can detect the very small objects and the fastly moving objects easily. This yolo v3 will convert the image into N number of layers and it will work on the each and every minute spot on the image.

A Simplified Method to Avoid Shadows at Parabolic-Trough Solar Collectors Facilities

Renewable energy today is no longer just an affordable alternative, but a requirement for mitigating global environmental problems such as climate change. Among renewable energies, the use of solar energy is one of the most widespread. Concentrating Solar Power (CSP) systems, however, is not yet fully widespread despite having demonstrated great efficiency, mainly thanks to parabolic-trough collector (PTC) technology, both on a large scale and on a small scale for heating water in industry. One of the main drawbacks to this energy solution is the large size of the facilities. For this purpose, several models have been developed to avoid shadowing between the PTC lines as much as possible. In this study, the classic shadowing models between the PTC rows are reviewed. One of the major challenges is that they are studied geometrically as a fixed installation, while they are moving facilities, as they have a tracking movement of the sun. In this work, a new model is proposed to avoid shadowing by taking into account the movement of the facilities depending on their latitude. Secondly, the model is tested to an existing facility as a real case study located in southern Spain. The model is applied to the main existing installations in the northern hemisphere, thus showing the usefulness of the model for any PTC installation in the world. The shadow projected by a standard, the PTC (S) has been obtained by means of a polynomial approximation as a function of the latitude (Lat) given by S = 0.001 − Lat2 + 0.0121 − Lat + 10.9 with R2 of 99.8%. Finally, the model has been simplified to obtain in the standard case the shadows in the running time of a PTC facility.

Characteristic of Motor Control in Three-Dimensional Circular Tracking Movements during Monocular Vision

Analysis of visually guided tracking movements is an important component of understanding human visuomotor control system. The aim of our study was to investigate the effects of different target speeds and different circular tracking planes, which provide different visual feedback of depth information, on temporal and spatial tracking accuracy. In this study, we analyze motor control characteristic of circular tracking movements during monocular vision in three-dimensional space using a virtual reality system. Three parameters in polar coordinates were analyzed: ΔR, the difference in the distance from the fixed pole; Δθ, the difference in the position angle; and Δω, the difference in the angular velocity. We compare the accuracy of visually guided circular tracking movements during monocular vision in two conditions: (1) movement in the frontal plane relative to the subject that requires less depth information and (2) movement in the sagittal plane relative to the subject that requires more depth information. We also examine differences in motor control at four different target speeds. The results show that depth information affects both spatial and temporal accuracy of circular tracking movement, whereas target speed only affects temporal accuracy of circular tracking movement. This suggests that different strategies of feedforward and feedback controls are performed in the tracking of movements.