Design of a Guidable Cornering Light System for Faired Motorcycle

Today's engendering has a rage about faired bikes because they endeavour ergonomic glances as well as speeds. Although it has now graced a fact that most motorcycle accidents occur in darkness due to poor illumination and are more dangerous when the bike is cornering. As per the present contour of headlamps of fairing bikes, the headlamps become stable, giving rider vision at an upright position. These headlights do not provide enough illumination on bent roads and put riders in a vulnerable position. To overcome this dilemma, an alternative lighting system was needed. The goal of the project is to discover a cost-effective explication, increasing the safety and comfort of the rider. This called for cornering lights for faired bikes to persuade the road at the corner. The cornering lights serve riders by illuminating the shadowed area of the curve providing better vision. The Cornering lights can not only be useful in twilight but also bad weather, the rider can have a clear vision and control on the motorbike. The rider may react to the state of danger at an appropriate time. Keywords: Motorcycle Cornering Lights, Smart Headlights, Guidable headlight, Adaptive headlight, cornering headlight, safety technology, deflecting headlight.

Classification of the Sidewalk Condition Using Self-Supervised Transfer Learning for Wheelchair Safety Driving

The demand for wheelchairs has increased recently as the population of the elderly and patients with disorders increases. However, society still pays less attention to infrastructure that can threaten the wheelchair user, such as sidewalks with cracks/potholes. Although various studies have been proposed to recognize such challenges, they mainly depend on RGB images or IMU sensors, which are sensitive to outdoor conditions such as low illumination, bad weather, and unavoidable vibrations, resulting in unsatisfactory and unstable performance. In this paper, we introduce a novel system based on various convolutional neural networks (CNNs) to automatically classify the condition of sidewalks using images captured with depth and infrared modalities. Moreover, we compare the performance of training CNNs from scratch and the transfer learning approach, where the weights learned from the natural image domain (e.g., ImageNet) are fine-tuned to the depth and infrared image domain. In particular, we propose applying the ResNet-152 model pre-trained with self-supervised learning during transfer learning to leverage better image representations. Performance evaluation on the classification of the sidewalk condition was conducted with 100% and 10% of training data. The experimental results validate the effectiveness and feasibility of the proposed approach and bring future research directions.

An economic feasibility study for the production of apple cider vinegar in Lattakia Governorate – Syria: دراسة الجدوى الاقتصادية لإنتاج خل التفاح في محافظة اللاذقية – سورية

The presence of an excess of the apple crop, and the increasing problem of its marketing in case the season is exposed to bad weather conditions, makes the best solution to confront this problem by manufacturing apple cider vinegar, as the apple cider vinegar manufacturing project emerges as an important model for the application of small agricultural projects in Syria, during the next stage, so the aim of the research To study the economic feasibility of a project to manufacture apple cider vinegar in apple- growing areas within Lattakia Governorate in Syria. To achieve the objectives of the research, the descriptive approach and the case study approach were used to study the hypotheses of the study, the most important of which is the existence of an economic feasibility for the manufacture of apple cider vinegar, or the lack of feasibility. The investor is 47.53%, based on production costs, 115.03%, while the profitability coefficient based on the invested capital is 44.49%, and for production costs, 107.67%, and the recovery time of the invested capital is 1.37 years. That is, this project, which achieves an added value, especially for apples that are not suitable for marketing, concludes the research with a number of recommendations, the most important of which is that it should work to encourage agricultural investors to enter this field by providing loans through village banks, development or small projects, and securing a market exchange. for their products, and opening new markets, especially in the field of export.

Integrated Speed Bump Detector to notify road users using Internet of Things

Every year all over the world, many lives are lost due to accidents on the roads. Different factors have contributed to this tragic death, such as the poor condition of roads and bad weather such as rain. To solve this problem, an Integrated Speed Bump Detector to notify road users using the Internet of Things (IoT) has been proposed to help road users to detect speed bumps earlier by getting notified through sound from the buzzer and red light from an LED. This also increases the safety of road users during their trips and provides information if a speed bump is approaching. The ultimate goal of this project is to prevent an accident from occurring during road trips and to promote a careful attitude among road users.

ФРАЗЕОЛОГІЧНІ ОДИНИЦІ ТЕМАТИЧНОЇ ГРУПИ “ПОГОДА” В СУЧАСНІЙ НІМЕЦЬКІЙ МОВІ: СТРУКТУРНО-СЕМАНТИЧНИЙ ТА ПЕРЕКЛАДАЦЬКИЙ АСПЕКТИ

The article analyzes the structural and semantic features of German phraseological units of the thematic group “Weather”. This thematic group was chosen for the study given the great importance of weather conditions for various spheres of human life, especially for agriculture, which is undoubtedly refl ected in the language by the presence of a large number of features, descriptions and phraseological units. The study is based on the electronic resource “Oldphras”. Three hundred and four phraseological units, which are the subject of this study, were identifi ed by using the resource search system. The main thematic subgroups are Wetter “weather”, Regen “rain”, Hagel “hail”, Blitz “lightning”, Donner “thunder”, Nebel “fog”, Wind “wind”, Sturm “storm”, Gewitter “bad weather”, Schnee “Snow”, Wolke “cloud”, Frost “frost”, Hitze “heat”, Sonne “sun”, Himmel “sky”, Jahreszeit “season”, Winter “winter”, Frühling “spring”, Sommer “summer”. The electronic resource allows us to accurately understand the meaning of the selected units, as the page has an explanation of each of them, as well as to see whether this phraseology is relevant in modern German and whether it has undergone some changes. The next step was to classify phraseological units according to their structure and semantics. According to the criterion of structure, phraseological units constitute the “phrasicon” of a language – that is, the whole inventory of idioms and phrases, both word-like and sentencelike set expressions. Using these criteria, the fi rst type includes the following compounds: in den Wind reden – “waste (one’s) breath”; Wind haben – “as hungry as a hunter”; in allen Himmeln schweben – “head in the clouds”; Sturm läuten – “to ring the alarm bell”. As for the second type, here are the following examples: Sie hat wohl der Blitz beim letzten Schiß erwischt? – “Are you insane?”; Аhа, daher weht der Wind! – “That’s what the smell is!”; jetzt pfeift der Wind aus einem anderen Loch (jetzt pfeift ein anderer Wind) – “change one`s tune”. The results indicate that sentence-like expressions account for 31.6 % of the entire sample, while word-like ones comprise 68.4 %. Also, we have made use of V. V. Vinogradov’s classifi cation system which is based on the degree of semantic cohesion between the components of a phraseological unit. As a result, the selected phraseological units were classifi ed by translation methods, and it was determined that the most commonly used methods are analogues (41.5 %) and descriptive (36.6 %) ones, while equivalent, combined, antonymous, loan translation, and translation in one word are much less fr).equent (21.9 % altogether). Key words: phraseological unit, translation, semantics, translation equivalence, translation transformations.

“LIQUEFACTION” AND “DYNAMIC SEPARATION” DIFFERENT ASPECTS OF THE SAME PROBLEM

In 2015 the Bulk Jupiter sank during bad weather loaded with bauxite. Nearly automatically everybody considered “liquefaction” to be the prime cause of this accident. Liquefaction is a phenomenon where solid bulk cargo, triggered by the ship movements, starts to behave has a high density viscous liquid in the holds. The stability is negatively influenced by the free surface effect and further research, especially by the Global Bauxite Working Group or GBWG showed that bauxite ore simply will not liquefy even under the worst case shipping conditions. Evidence from real world shipments of bauxites shows that instabilities due to moisture cannot be explained by liquefaction phenomena, but can be under a “dynamic separation” mechanism of instability. Both liquefaction and dynamic separation are caused by an excessive moisture of the bauxite cargo. However, the influence on the stability of the ship is fundamentally different.

Imagine a Walkable City: Physical activity and urban imageability across 19 major cities

Can the shape of a city promote physical activity? The question of why individuals engage in physical activity has been widely researched, but that research has predominantly focused on socio-demographic characteristics (e.g., age, gender, economic status) and coarse-grained spatial characteristics (e.g., population density), overlooking key urban characteristics of, say, whether a city is navigable or, as urban theorist Kevin Lynch put it, whether it is ‘imageable’ (whether its spatial configuration is economic of mental effort). That is mainly because, at scale, it is neither easy to model imageability nor feasible to measure physical activity. We modeled urban imageability with a single scalable metric of entropy, and then measured physical activity from 233K wearable devices over three years, and did so across 19 major cities in the developed world. We found that, after controlling for greenery, wealth, walkability, presence of landmarks, and weather conditions, the legibility hypothesis still holds: the more imageable a city, the more its dwellers engage in physical activity. Interestingly, wealth (GDP per capita) has a positive association with physical activity only in cities with inclement climate, effectively acting as a compensation mechanism for bad weather.

Vplivi na obisk gozda v splošnih in gozdnih vrtcih

Preschool children spend a large part of their everyday life in kindergartens, so it is necessary to include visits to the forest, which is the most extensive natural environment in Slovenia, in preschool childcare programs. Based on surveys with preschool teachers of public kindergartens in Slovenia (N = 133), we analysed the habits, purposes, barriers and concerns associated with visiting the forest. The frequency and duration of forest visits largely depend on the distance of the forest from the kindergarten. The habits of forest visits among forest kindergartens which are included in the Network of Forest Kindergartens organized by the Institute of Forest Pedagogy do not differ significantly from that of general public kindergartens. They differ mainly with respect to the frequency of visitation in bad weather and the purpose of visitation. The main concerns when visiting the forest are ticks, fear of injury, and the children having inappropriate equipment. The reasons for less frequent forest visitation include different pedagogical priorities of the kindergartens and lack of support from the management and parents, which highlight the need for the strategic promotion and implementation of forest visitation in preschool education.

Caregiving Is Driving My Time: Caregiver and Care Recipient Driving Behaviors and Hours of Care

Informal caregivers often provide transportation assistance as older adult care recipients (CRs) begin regulating their driving (e.g., avoid certain driving situations, decrease/cease driving). This study examined how caregiver and CR driving frequency and CR’s driving avoidance behaviors impact caregiving intensity. Using data from Round 7 of the National Health and Aging Trends Study and the linked National Survey of Caregiving (n=1048 dyads), results indicated that caregiving intensity was highest among caregivers who drove everyday (5.38 hours) and for CRs who had not driven in the last month/did not drive (4.65 hours). Negative binomial regression techniques were used to assess and compare driving-related predictors. Compared to CRs who reported no avoidance of nighttime driving, caregivers of CRs who do not drive at all can expect to provide about 36% more hours of caregiving per day. Caregiving intensity was not significantly related to CR’s driving alone, on the highway, or in bad weather avoidance behaviors. CRs who drove every day, most days, and rarely required between 33% and 40% fewer expected hours per day of caregiving compared to CRs who had not driven in the past month. The expected number of hours spent providing care per day was 36% higher among caregivers who drove the care recipient every day, 28% higher among most-day drivers, and 30% higher among those who never drove as opposed to caregivers who drove some days per week. Results suggest that caregiving intensity is related more to caregiver and CR driving frequency than CR driving avoidance behaviors.