Part In Body Research Articles

Gait Quality Aware Network: Toward the Interpretability of Silhouette-Based Gait Recognition.

Gait recognition receives increasing attention since it can be conducted at a long distance in a nonintrusive way and applied to the condition of changing clothes. Most existing methods take the silhouettes of gait sequences as the input and learn a unified representation from multiple silhouettes to match probe and gallery. However, these models are all faced with the lack of interpretability, e.g., it is not clear which silhouette in a gait sequence and which part in the human body are relatively more important for recognition. In this work, we propose a gait quality aware network (GQAN) for gait recognition which explicitly assesses the quality of each silhouette and each part via two blocks: frame quality block (FQBlock) and part quality block (PQBlock). Specifically, FQBlock works in a squeeze-and-excitation style to recalibrate the features for each silhouette, and the scores of all the channels are added as frame quality indicator. PQBlock predicts a score for each part which is used to compute the weighted distance between the probe and gallery. Particularly, we propose a part quality loss (PQLoss) which enables GQAN to be trained in an end-to-end manner with only sequence-level identity annotations. This work is meaningful by moving toward the interpretability of silhouette-based gait recognition, and our method also achieves very competitive performance on CASIA-B and OUMVLP.

Utilizing variable auto encoder-based TDO optimization algorithm for predicting loneliness from electrocardiogram signals.

Several seniors and a substantial part of the general population are living in social isolation. This frequently occurs in vulnerability, isolation, and depression, which then have a poor impact on other health-related factors. A number of health problems, including a higher risk of cardio problems, are brought on by social isolation and loneliness. Electrocardiogram (ECG) usage for mental condition recognition enables accurate determination of a person's internal representation. The electrocardiogram (ECG) signals can be thoroughly analyzed to uncover hidden data that may be helpful for the precise identification of cardiac problems. ECG time-series information typically have great dimensions and complicated componentry. Using relevant information to guide training is among the main achievements of this type of learning. An ECG signal plays a significant part in the individual body's ability to manage behavior. Furthermore, loneliness identification is crucial since it has the worse effect on the circumstances that afflict persons. This study suggested an approach for detecting loneliness from an ECG signal to use a variable auto encoder-based optimization algorithm for ESN technique. The suggested approach consists of three phases for identifying a person's loneliness. Firstly, undecimated discrete wavelet transform is used to preprocess the acquired ECG data. Next, further characteristics are extracted from the precompiled signals using a variable auto encoder. For the precise categorization of loneliness in the ECG signal, a metaheuristic optimized ESN is, therefore, presented. The outcomes of the tests demonstrate that the suggested system with suitable ECG representations produces improved accuracy as well as performance.

IMAGE MOTION COMPENSATION – THE VEXCEL APPROACH

Abstract. Motion compensation in general and forward motion compensation in particular was an important milestone in aerial imaging when presented for film-based camera systems in the late 90ts of the last century. It focused on the forward motion compensation to enhance the image quality when flight speed and image scale produce such motion blur even at short exposure time. Another development and milestone in aerial photogrammetry, the active mount, contributed as well to reduce motion blur.When digital aerial cameras replaced the film-based camera systems in the first decade of the 21st century, forward motion compensation (FMC) could be implemented as an electronic feature of the CCD sensors, namely the time delayed integration (TDI) feature, which worked fine and did not require a mechanical component. Not all cameras could make use of that but large format frame cameras like DMC and UltraCam were able to compensate forward motion blur exploiting this feature of the electronic sensor component.Since CMOS sensors were replacing the CCD sensor component of digital aerial cameras there was a need to implement the FMC mechanism by another solution. One approach was based on a mechanical device able to move the sensor along the flight path of the aircraft like it was the approach for film cameras.At that time Vexcel Imaging decided to develop a more versatile solution based on software and without any additional mechanical part in the camera body. This solution was designed to not only compensate for a uniform compensation to the forward motion but also for angular motion blur and for different scales in one and the same image. This is especially important for the oblique viewing direction of a camera when foreground and background of an oblique scene show different scales in one and the same image.The need to compensate for motion blur is evident when large scale aerial imaging is required, and best image quality is expected. Motion blur is caused from the speed of the aircraft over ground, the image scale, and an angular component – the angular motion blur - caused from turbulences if they exist.The magnitude of the forward motion blur can be estimated when multiplying aircraft speed and image scale and exposure time (e.g. speed over ground 75 m/sec, scale 1/10000 and exposure time 0,001 seconds leads to 0,0075 mm or 7,5 µm in the image). Different image scales result in different magnitude of motion blur. This is evident for oblique camera systems.

Differences in Correlation Values in Sex Determination based on Ridge Density of Hypothenar, External Ear Anthropometric and Canine Index

Hypothenar region is an area that is often contacts with surfaces during activities, and the ear is proven to be more consistent than face identification in passive biometrics. While, the teeth are hardest part in the human body which covered inside the oral cavity. These 3 parts of the body have a great role forensic identification especially in determining sex. The aim of this study is to know differences in correlation values in sex determination based on ridge density of hypothenar region of the palm, external ear anthropometric and canine index. This was a cross sectional study with observational analytic design, include 500 medical students in Kariadi Hospital Semarang Central Java Indonesia, age 21 - 26 years old, who are included in inclusion criteria, male (n = 250), female (n = 250). Ridge density is measured by calculating the average number of hypothenar palm ridge on the side of the top, middle and bottom; each area is 5×5 mm2 in measurement. External ear anthrophometric consists ear length, ear breadth, base auricular, lobe length and lobe width. Canine index is calculated by dividing mesiodistal width and intercanine distance in 4 regions. Spearman correlation test between ridge density of hypothenar region palm prints, external ear anthropometric, mandibular canine index and sex shows significant correlation with p-value = 0.000. There is no significant difference between maxillary canine index and sex (right maxillary p-value = 0.112 and left maxillary p-value = 0.082). There are differences in correlation values in sex determination based on ridge density of hypothenar region palm prints, external ear anthropometric and mandibular canine index. Ridge density of hypothenar region palm prints and ear length are show strong correlation in sex determination.

Reducing non-productive time of mud pump with acoustic emission monitoring techniques on fluid end parts

This research conducted for overcoming the high non-productive time (NPT) damage of fluid end part mud pump in the drilling of PT. Pertamina PDSI Drilling Rig # 42.2/N1500-E Well SWI-001 at Pali, South Sumatra, Indonesia. The purpose of this study is to provide a solution for detecting early worn out of fluid end part with the innovation of the electric audio module (EAM), which is suitable for conditions in the field. This EAM works using the method of detecting acoustic emission signals from piezoelectric sensors that arise due to the movement of the drilling fluid and fluid end part in the mud pump module body. Then the emitted pulse is forwarded to the EAM, and the results give through two outputs, namely the spectrogram graphic and the acoustic emission sound that enlarged through headphones. The results of this EAM innovation can reduce the NPT in PDSI Rig # 42.3/N1500-E from 34.5 hours to 0 hours, and monitoring can be done remotely up to more than 50 meters no longer on the spot. The application of EAM in drilling rig implies a modification in the maintenance of a mud pump from breakdown to predictive maintenance. It supports the safety aspect considering monitoring which can perform remotely.

The Retributive Proportionality and Islamic Punishment of Diyyah

Western Penal theory of ‘Retribution’ is based upon the philosophy of proportional punishment for a crime. The research focuses on the practical application of a philosophical idea in the Islamic punishment of diyyah. The main findings are the perfect application of the element of retributive ‘proportionality’ in all diyyah laws. The proportionality proved to be the basic rule of diyyah punishment where the homicide along with the bodily harms are proportionally compensated with the principle amount of hundred camels, ten thousand silver dirhams or one thousand gold dinars keeping in view the utility or the number of body parts of that organ. The damage to entire body in the shape of death, complete damage to a sense, to an organ or its utility, is proportionally compensated with full diyyah however the organs having more than one part are compensated with the proportional amount to the number of that body part in human body which results in half diyyah for damage to one hand, leg, eye or eyebrow and quarter for each eyelid. In this way each organ, its utility or each sense is proportionally compensated with adequate and proportional diyyah amount.

Parameter analysis and optimization of welding sequence for the aluminium alloy sidewall in a high-speed train body

The sidewall is the most complex structure and welding process part in the aluminum alloy train body, and its welding deformation is greatly influenced by welding sequence parameters. In this paper, the relationship between the welding residual stress and welding deformation of the sidewall and welding sequence parameters is studied, and the optimal welding sequence is determined. Using a verified finite element model of one intercepted sidewall, the relationships between the welding residual stress and welding deformation of the sidewall and the welding of welds, welding sequences of welds and the weld sequence are studied, respectively. Some conclusions can be drawn from the analysis results. One is that the welding results at one weld are only determined by self-welding, and have nothing to do with other welds, and welding results outside one weld are affected by welds on both sides. The second is that for a single weld, the from-one-end-to-the-other welding sequence is best, and the identical welding sequence is best for each weld. The third is that the fixed welds are firstly welded and a cross weld sequence is best.

Diagnosis Of Heart Disease Using K-Nearest Neighbor Method Based On Forward Selection

Heart is one of the essential organs that assume a significant part in the human body. However, heart can also cause diseases that affect the death. World Health Organization (WHO) data from 2012 showed that all deaths from cardiovascular disease (vascular) 7.4 million (42.3%) were caused by heart disease. Increased cases of heart disease require a step as an early prevention and prevention efforts by making early diagnosis of heart disease. In this research will be done early diagnosis of heart disease by using data mining process in the form of classification. The algorithm used is K-Nearest Neighbor algorithm with Forward Selection method. The K-Nearest Neighbor algorithm is used for classification in order to obtain a decision result from the diagnosis of heart disease, while the forward selection is used as a feature selection whose purpose is to increase the accuracy value. Forward selection works by removing some attributes that are irrelevant to the classification process. In this research the result of accuracy of heart disease diagnosis with K-Nearest Neighbor algorithm is 73,44%, while result of K-Nearest Neighbor algorithm accuracy with feature selection method 78,66%. It is clear that the incorporation of the K-Nearest Neighbor algorithm with the forward selection method has improved the accuracy result. Keywords - K-Nearest Neighbor, Classification, Heart Disease, Forward Selection, Data Mining

Material characterization for numerical simulation of manufacturing of automotive part made of magnesium alloy

Evaluation of the possibility of substitution of steel part in the car body by the one made of AZ31 alloy was the main objective of the whole project. The objective of this paper was to determine the flow stress model, which accounts for the difference in the behavior of magnesium alloys during tension and compression. Tension tests on Zwick machine and compression tests on Gleeble 3800 were performed. Inverse analysis was applied to interpretation of the results of the tests. Separate numerical models for tension and compression were implemented into Abaqus software and simulations of the stamping were performed. Sensitivity of the results to the flow stress model was evaluated.

Oral health in patients with systemic sclerosis

The aim of this study was to conduct literature review about oral manifestations of scleroderma. Systemic sclerosis is a multisystem autoimmune disorder characterized by widespread fibrosis, vascular alterations and inflammation. Systemic sclerosis mainly affects people in age from 30 to 50 years, but the onset of disease can occur in any age. The disturbance of microcirculation with the activation and proliferation of endothelium and smooth muscle cells plays an important role in pathogenesis of sclerodrma. These changes lead to sclerosis and fibrosis of various part in human body. Orofacial manifestations of scleroderma include: reduced mouth opening, widening of periodontal ligament, teleangiectasia, bone lesions. Systemic scleroderma is often accompanied by Sjogren's syndrome. Oral manifestations of Sjogren's syndrome are recurrent parotitis, angular cheilitis, xerostomia and multiple caries. Sjogren's syndrome leads to negative impact on patients health and mental status. Orofacial manifestations of systemic sclerosis are still poorly known, that is why more researches should be made to improve dental treatment of patients with systemic sclerosis.

A brief Review of Reverse Shoulder Prosthesis: Arthroplasty, Complications, Revisions, and Development

The shoulder is considered to be an important flexible and movable part in the human body. However, it is a wobble joint as its range of motion (ROM) is high. This unstable status increases the rate of joint injury. The processes leading to shoulder joint dysfunction are arthritis, hemiarthroplasty failure, and pseudoparalysis; in turn, one of the main factors contributing to these problems is rotator cuff tear (RCT). Reverse shoulder arthroplasty (RSA)may be a proper treatment for shoulder dysfunction and pain. This treatment elevates shoulder movement and has been augmented by recent advances in the development of the reverse shoulder prosthesis (RSP) design. This current review highlights the recent developments, revisions, and complications. A review of the published literature has been done to determine the overall rates of problems, complications, reoperations, and revisions after RSA. Furthermore, this review discusses the problems concerning RSP, shoulderjoint replacement, and improvement in shoulderjointmovement after arthroplasty

Clinical importance of aloe vera: Review

John Goodyew translated first reference from term ‘Dioscorides Medical treatise De Materia Medica’ into English terminology as use of Aloe vera in A.D. 1655; moreover, in early 1800s it used as laxative whereas in the mid 1930s successful treatment was introduced for chronic and severe radiation dermatitis. Since, several cultures of the history have been showed impression of foot print for use of Aloe vera, major includes Greece, Egypt, India, Mexico, Japan and China. Egyptian queens Nefertiti and Cleopatra regularly involved it in their beauty regimes whereas Alexander the Great, and Christopher Columbus used it to treat soldiers’ wounds. Aloe vera is well known plant not only in tribal community but modern lookout also make it therapeutic important. Since it is used in Ayurvedic, Homeopathic and Allopathic medicine because various research support that it contains vitamins, minerals, enzymes, amino acids, natural sugar and other bioactive compounds. Although therapeutic use of Aloe vera covered wide range of activity major includes emollient, purgative, antimicrobial, anti inflammatory, antioxidant, aphrodisiac, anti-helmenthic, antifungal, antiseptic and cosmetic, its benefits so myriad and astounding that no part in human body remains uninfluenced by its healing touch; all these make it plant of wonder. The modern therapeutic approach for beauty enhancer also list Aloe vera as most favorable plant in cosmetic industries. In this review we are trying to approach and underlying every possible corner associated with medicinal use of Aloe vera.

PREVALENCE AND TYPES OF SPORTS INJURIES PRESENTING TO EMERGENCY DEPARTMENT SUEZ CANAL UNIVERSITY HOSPITAL

Inroduction: regular physical activity is essential for the prevention of various diseases and reduces the risk of premature mortality in general and coronary heart disease, hypertension, colon cancer, obesity and diabetes mellitus in particular. Aim of this study was to assess the most common sports causing injuries and to assess the types and mechanisms of these injuries. Patients and methods: The researcher examined 250 patients attending emergency departmentl. Results: The study showed that the most common type of sports involved in injury was football .The ankle was the most common affected part in the whole body . Chest contusion and back contusion were the most common types of sports injuries in head, neck and trunk. Fracture scaphoid and fissure radius were the most common sport injuries. Ankle sprain was the most common injury. The study showed that (62.7%) of the studied patients who were playing football had injuries in the lower limbs. Ankle sprain was the most common sport injury that was associated with wearing football shoes . Conclusion: Ankle sprain was the most common sport injury associated with artificial grass court . Wrist sprain was the common sport injury in the upper limbs associated with artificial grass court.

Bitişik Eğik Yazı İle İlgili Olarak Yapılan Araştırmalara Tümdengelimci Bir Bakış

Cursive italic handwriting has entered to our education life by 2015 curriculum. In addition to this, from it entered program until this time it has been discussed. Many researches that tackle problems encountered in cursive italic handwriting take part in literature. But results obtained from these researches take part in body of literature immethodically. The main aim of this study is providing to reaching inferences by investigating researches deductively. In this context 22 articles and 13 postgraduate theses which were written between 2004-2015 and about cursive italic handwriting have been examined. It is seen that as a result of analyses; the most research was made in 2012, a great majority of articles included in researches published in magazines that were reviewed in other domains except Social Science Citation Index (SSCI) and domain index being tiring and compelling for children and spelling rules and not suiting spelling rules were the most common problems.

Split-Rib Cranioplasty Using a Patient-Specific Three-Dimensional Printing Model.

Split-Rib Cranioplasty Using a Patient-Specific Three-Dimensional Printing Model.

Development of a percentile based three-dimensional model of the buttocks in computer system

There are diverse products related to human buttocks, which need to be designed, manufactured and evaluated with 3D buttock model. The 3D buttock model used in present research field is just simple approximate model similar to human buttocks. The 3D buttock percentile model is highly desired in the ergonomics design and evaluation for these products. So far, there is no research on the percentile sizing system of human 3D buttock model. So the purpose of this paper is to develop a new method for building three-dimensional buttock percentile model in computer system. After scanning the 3D shape of buttocks, the cloud data of 3D points is imported into the reverse engineering software (Geomagic) for the reconstructing of the buttock surface model. Five characteristic dimensions of the buttock are measured through mark-points after models being imported into engineering software CATIA. A series of space points are obtained by the intersecting of the cutting slices and 3D buttock surface model, and then are ordered based on the sequence number of the horizontal and vertical slices. The 1st, 5th, 50th, 95th, 99th percentile values of the five dimensions and the spatial coordinate values of the space points are obtained, and used to reconstruct percentile buttock models. This research proposes a establishing method of percentile sizing system of buttock 3D model based on the percentile values of the ischial tuberosities diameter, the distances from margin to ischial tuberosity and the space coordinates value of coordinate points, for establishing the Nth percentile 3D buttock model and every special buttock types model. The proposed method also serves as a useful guidance for the other 3D percentile models establishment for other part in human body with characteristic points.

Computer aided design of manufacturing of automotive part made of magnesium alloy

Evaluation of the possibility of substitution of steel part in the car body by the one made of AZ31 alloy was the objective of the paper. Bracket in the support of the steering wheel was selected for the analysis. Two criteria were selected to evaluate the possibility of using the Mg alloy part: i) stiffness of this part cannot be lower than that of the steel part, ii) Manufacturing of the part has to be possible. The objective of the research was a design of the shape of the bracket, that meets assumed criteria including manufacturing and assembly possibilities. The optimization task was formulated to reach this objective. Maximum stiffness of the part was the objective function and technological limitations were the constraints. Dimensions of the bracket were the optimization variables. Optimal shape was designed and numerical simulations were performed to evaluate possibility of stamping of this part. Simulations have shown that the decrease of the thickness is within of acceptable limits and that the strains are below the limiting strains. Thus, proposition of the shape of the magnesium alloy bracket, which can be safely manufactured by stamping, is the main output of the paper.

Numeryczna symulacja testu zderzeniowego z uwzględnieniem umocnienia odkształceniowego w procesie wytwarzania energochłonnego elementu samochodu

Numeryczna symulacja testu zderzeniowego z uwzględnieniem umocnienia odkształceniowego w procesie wytwarzania energochłonnego elementu samochodu

A study on the application of the parallel seismic method in pile testing

Parallel seismic testing of pile is theoretically studied using the ray path theory and the elastodynamic finite integration technique (EFIT). According to the basic principles and the testing process, the practical pile model is simplified as a space axisymmetric problem, and the definite solution can be obtained with given boundary and initial conditions. The EFIT is a simple numerical tool and employed in this study. A more accurate method for determining the pile length is presented based on ray path theory, the effects of pile-to-borehole distance and other parameters on the testing results are numerically analyzed in detail. In addition, parallel seismic testing is compared with the low-strain pile integrity testing with respect to the pile with a cap. The former has good performance in determining the pile length. Also, neck or expansion part in the pile body is well able to be identified.

Biomechanical Research on Plantar Pressure Distribution in Different Landing Condition

With the increase of the difficulty and intensity on competitive movement, the rate of sport injury will happen in training and competing frequently. The metatarsal is one of the most prone to injury part in the human body. The incidence of metatarsal injuries is rising in recently years. In this study, Pedar-X plantar pressure measure system and Novel emed pressure distribution measure plate were used in order to get the dynamics data in normal landing and inverted landing. The research concluded that: metatarsal peak stress had been transferred from the first metatarsal to the fifth metatarsal with increasing of varus angle. When the foot was in inverted state, stress distribution of metatarsal changed significantly. Lateral metatarsal played a major role in supporting function. Also, forefoot pressure distribution changed a lot in different functional sports shoes. The purpose is to provide the reliable correlative theoretical basis for improving sport equipments and security protection recommendations for people to engage in sports.