bluuebunny/crossref_metadata_2025 huggingface dataset:
Congratulations! Journal of Robotics and Mechatronics Best Paper Award 2022
Authors:   Editorial Office
Published: February 2023

300-N Class Convex-Based Telescopic Manipulator and Trial for 3-DOF Parallel Mechanism Robot

We are pleased to announce that the 15th Journal of Robotics and Mechatronics Best Paper Award (JRM Best Paper Award 2022) has been decided by the JRM editorial committee. The following paper won the JRM Best Paper Award 2022, severely selected from among all 123 papers published in Vol.33 (2021). The Best Paper Award ceremony was held on December 23, 2022 in hybrid style (both on-site and online; venue: Gakushi-Kaikan, Tokyo, Japan), attended by the authors and JRM editorial committee members who took part in the selection process. The award winners were given certificates and a nearly US$1,000 honorarium. Editorial committee members who participated online also congratulated them through Zoom. We congratulate the winners and sincerely wish them success in the future.

Takashi Kei Saito, Kento Onodera, Riku Seino, Takashi Okawa, and Yasushi Saito

Journal of Robotics and Mechatronics, Vol.33, No.1, pp. 141-150, February 2021

doi: 10.20965/jrm.2021.p0141
Special Issue on Developments and Learning from the World Robot Challenge
Authors: Venture Gentiane
Published: February 2023

The World Robot Challenge was organized to stimulate and gather findings in robotics and their applications to three important fields: Industrial Robotics, Service Robotics, and Disaster Robotics, which constituted three categories for the competition. Researchers and professionals from all over the world in the field of robotics were provided a unique opportunity to showcase their work by solving unprecedented problems, on the spot. Computer vision, robust control, navigation, and manipulation are some of the key elements to create robots that could solve the challenges proposed during the competition.

This special issue provides some examples of the work developed and performed in that aim, that could serve for the future of robotics applications in the three designated fields but not only.

The three first papers are the results of the convenience store challenge for Service Robotics. In this challenge, identifying objects and pose estimation of object are crucial for the acquisition of knowledge and robot manipulation, shelfing and logistics, as detailed in the first two papers. Robot’s navigation is also paramount for cleaning and operating in the human environment, such is the topic of the third paper.

The Industrial Robotics challenge focuses on parts pick and place and assembly of complex elements. The fourth and 5th papers of this special issue deal with this topic.

Finally the Disaster Robotics challenge presents the more versatile components as a disaster area may be of multiform and of very complex nature, depending of the nature of the disaster, whether it is indoor or outdoor etc. The last three papers of the special issue deal with such a various nature for plant inspection, for the control of robots in disaster area, or the rescue robot in confined spaces such as tunnels.

We hope this collection of work carefully selected, will provide the reader with insights for the future developments of robots.
PYNet: Poseclass and Yaw Angle Output Network for Object Pose Estimation
Authors: Fujita Kohei , Tasaki Tsuyoshi
Published: February 2023

The issues of estimating the poses of simple-shaped objects, such as retail store goods, have been addresses to ease the grasping of objects by robots. Conventional methods to estimate poses with an RGBD camera mounted on robots have difficulty estimating the three-dimensional poses of simple-shaped objects with few shape features. Therefore, in this study, we propose a new class called “poseclass” to indicate the grounding face of an object. The poseclass is of discrete value and solvable as a classification problem; it can be estimated with high accuracy; in addition, the three-dimensional pose estimation problems can be simplified into one-dimensional pose-estimation problem to estimate the yaw angles on the grounding face. We have developed a new neural network (PYNet) to estimate the poseclass and yaw angle, and compared it with conventional methods to determine its ratio of estimating unknown simple-shaped object poses with an angle error of 30° or less. The ratio of PYNet (68.9%) is an 18.1 pt higher than that of the conventional methods (50.8%). Additionally, a PYNet-implemented robot successfully grasped convenience store goods.
Multifunctional Shelf and Magnetic Marker for Stock and Disposal Tasks in Convenience Stores
Authors: Takubo Tomohito , Nakamura Takeshi , Sugiyama Riko , Ueno Atsushi
Published: February 2023

Product management using a multifunctional shelf, and manipulation using an electromagnet hand and a magnetic marker, are proposed for stock and disposal tasks. The multifunctional shelf manages the type, position, and number of products on the shelf, and plans display and disposal operations. The shelf provides directions to a mobile manipulator for moving products on the shelf according to the display and disposal plan. The proposed multifunctional shelf has a camera on each level that helps the mobile manipulator recognize the product. By optimizing the movement of products, the display and disposal work can be performed much more efficiently. To quickly grasp the product, a new manipulation strategy using a magnetic marker and an electromagnet hand is proposed. The electromagnet hand has two electromagnets and can quickly grasp and release the magnet marker by changing the S/N pole pair. Experiments using the proposed multifunctional shelf and electromagnet hand were conducted to demonstrate the effectiveness of the proposed system.
Coverage Motion Planning Based on 3D Model’s Curved Shape for Home Cleaning Robot
Authors: Sakata Yuki , Suzuki Takuo
Published: February 2023

Research on the automated control of robots for wiping curved surfaces includes studies on cleaning contaminated areas and controlling the end-effector posture to apply a constant force along curved surfaces. However, such robots should also clean difficult-to-find contaminants such as dust and dirt. One of previous studies has considered motion generation as a generalized traveling salesman problem. In particular, a point cloud is acquired from an RGBD camera, and a large graph is created to represent the surface based on the point cloud. The system then finds an appropriate end-effector posture for each node and sets up multiple coordinate systems. Consequently, an efficient cleaning motion can be generated; however, path generation using the previous study is a highly time-consuming process. Therefore, in this study, a 3D model is used to generate cleaning actions more efficiently. A point cloud is then generated from the mesh data of the 3D model, based on which the surface is represented as a simple graph that can be solved as a traveling salesman problem, thereby reducing the computational time. The optimal end-effector posture is determined based on the shape of the surface and is set as the coordinate system for each node. Finally, experiments are conducted to compare the cleaning results with the previous study results, thereby verifying that results can be obtained in less than one-tenth the computational time required for the previous study results.
Development of a Flexible Assembly System for the World Robot Summit 2020 Assembly Challenge
Authors: Xu Lizhou , Heravi Farshad Nozad , Lahoud Marcel Gabriel , Marchello Gabriele , D’Imperio Mariapaola , Abidi Syed Haider Jawad , Farajtabar Mohammad , Martini Michele , Cocuzza Silvio , Scaccia Massimiliano , Cannella Ferdinando
Published: February 2023

The assembly challenge of the World Robot Challenge (WRC) 2020, which was a part of the World Robot Summit (WRS) 2020, aimed to complete rapidly changing tasks in high mix/low volume production through building agile and lean production systems that can respond to one-off products. The authors of this paper participated in the challenge with the team PneuBot from the Industrial Robotics Facility of the Italian Institute of Technology by developing a flexible assembly system. The purpose of this work was to develop an assembly system able to handle variations of parts and tasks with a minimal changeover in hardware and software. In particular, assembly tasks were carried out, such as the assembly of a DC motor, pulleys, and a flexible belt on a plate, starting from pieces of unknown positions and orientations on a tray. The proposed work cell is light-weighted and can be fast deployed and replicated. It is composed of two Universal Robots; an RGB-D camera mounted on the wrist of the robot, able to detect both the position and orientation of the different objects to manage; a custom gripping system composed of 3D printed fingers for manipulation purposes and miniature force sensors for the grasping detection.
Concept and Implementation of the Intuitive Controller MISORI-2: Development of a Robot Manual Controller Without Laptop and Game Controller
Authors: Nakamura Keita , Yamazaki Junichi , Yashiro Makoto
Published: February 2023

To participate in the Standard Disaster Robotics Challenge in the Disaster Robotics Category at the World Robot Challenge in the World Robot Summit 2020 Fukushima Competition, we have developed a main-replica type controller using which anyone can easily control the disaster robot. The two student operators finished second in the competition despite having only five hours of practice time. In this study, we present the results of surveying the essential elements of a controller for disaster response robots, and introduce the controller that is designed and implemented based on the survey.
Disaster Rescue via Multi-Robot Collaboration: Development, Control, and Deployment
Authors: Watanobe Yutaka , Kabir Raihan , Aoba Ryuma , Ohashi Ayato , Ogata Shunsuke , Shiga Mizuki , Tsuruno Kota , Anazawa Tsuyoshi , Naruse Keitaro
Published: February 2023

Aging social infrastructure needs maintenance and inspection for which robot technology is highly effective. It is also effective for disaster rescue and recovery operations. Tunnel disaster rescue is risky for human workers. Robot technology can perform this work easily and accelerate rescue and recovery operations. This paper introduces a framework for the rescue robot development, control, and deployment steps. This framework also proposes automated and hybrid robot control systems in addition to conventional manual control. A multi-robot collaboration system causes the proposed control system to be convenient for deployment, reliable, and accelerate rescue work. In the development phase, controllers and different additional assistance tools for the robot have been developed in addition to the basic robot. As the proposed framework has been cultivated through our development and team collaboration training for the World Robot Summit (WRS) and the actual competition of the WRS, we will also present what we have achieved at the WRS.
Study on an Add-on Type Electric Wheelchair Using Active Caster with the Differential Mechanism
Authors: Nakayama Taisei , Wada Masayoshi
Published: February 2023

This study developed an electric-powered manual wheelchair with a differential-drive active caster mounted at the rear of the wheelchair. The active caster has two axes: a caster wheel axis and a steering axis, and the coordinated control of these axes enables the wheel-mounted part to move in all directions. Conventional active casters have separate motors for the steering and wheel axes, and only the motor on the wheel axis operates when the wheelchair moves straight ahead, resulting in a low drive efficiency. Therefore, we developed a differential-drive-type active caster that uses a differential-drive mechanism. The differential-drive-type active caster uses the sum of the rotations of the two motors to move the steering axis, and the difference to move the wheel axis. Therefore, the two motors always operate, thus the drive efficiency is higher than that of a conventional type. However, we found that the two motors interfere with each other owing to their structure, making it difficult to stabilize the steering axis when speed increases. A control method was developed to solve this problem. Through verification experiments, we demonstrated the ability of the wheelchair to move at speeds over 6 km/h, the legal speed limit in Japan, the improved stability of the steering axis, and the accuracy of its omnidirectional movement. Additionally, to reduce the wobble that occurs when the electric-powered manual wheelchair moves straight ahead, we introduced a yaw-rate feedback to the joystick input system. The feedback was then verified in a lane-change experiment, confirming the wobble reduction.
Development of Pneumatic Artificial Rubber Muscle Using Segmented Shape-Memory Polymer Sheets
Authors: Takashima Kazuto , Okamura Yuta , Iwamoto Daiki , Noritsugu Toshiro , Mukai Toshiharu
Published: February 2023

We have developed a pneumatic artificial rubber muscle using two shape-memory polymer (SMP) sheets. We attached the SMP sheets to a linear pneumatic artificial rubber muscle. Utilizing the large difference in the elastic modulus below and above the glass transition temperature, the shape fixity and shape recovery of SMPs, the bending direction and the initial shape can be changed. In this study, in order to increase the bending motion range, we developed a segmented SMP sheet with embedded electrical heating wires, and evaluated its mechanical properties using bending and tensile tests. Moreover, we attached such sheets to an artificial muscle and evaluated the bending motion. Bending tests showed that segmenting the SMP sheets greatly reduced their bending stiffness. In tensile tests at temperatures below the glass transition temperature, it was found that the artificial muscle with the attached sheet withstood high elongating loads without failure. Attachment of such segmented SMP sheets to an artificial muscle resulted in an increased bending angle. Through isotonic and isometric tests, we showed that the prototype actuator could bend in two directions.
Projection Mapping-Based Interactive Gimmick Picture Book with Visual Illusion Effects
Authors: Toda Sayaka , Fujii Hiromitsu
Published: February 2023

In this study, we proposed an electronic gimmick picture book system based on projection mapping for early childhood education in ordinary households. In our system, the visual effects of pop-up gimmicks in books are electronically reproduced by combining projection mapping, three-dimensional expression, and visual illusion effects. In addition, the proposed projector-camera system can provide children effective interaction experiences, which will have positive effects on their early childhood education. The performance of the proposed system was validated by projection experiments.
Autonomous Motion Control of a Mobile Robot Using Marker Recognition via Deep Learning in GPS-Denied Environments
Authors: Shimoda Takashi , Koga Shoya , Sato Kazuya
Published: February 2023

In this study, an autonomous traveling control system for a mobile robot was developed using the results for calculation of the relative positions and angles between the mobile robot and markers, based on the image information obtained from a camera mounted on the mobile robot. The mobile robot runs autonomously based on the path of the marker. However, as the conventional method uses OpenCV to identify the shape of the marker using the color information of the marker, the marker may be misrecognized owing to the influence of light. Furthermore, the specifications of the camera limit the detection distance of the marker placed opposite it, which inevitably limits the straight traveling distance of the mobile robot in the proposed method. The proposed method improves the accuracy of marker recognition by using deep learning, and also devises the method of placing markers that allows the user to move straight ahead over a longer distance. It can also easily achieve autonomous path travel control, including long-distance straight lines, for a mobile robot in an environment where global positioning systems (GPS) cannot be received. In addition, the system can be easily operated by an actual user, who need not have any knowledge of programming, because the travel path of the mobile robot can be set up simply by placing markers. The effectiveness of the proposed system was demonstrated through several experiments.
Training Simulator for Manual Lathe Operation Using Motion Capture – Addition of Teaching Function and Evaluation of Training Effectiveness –
Authors: Hashimoto Nobuyoshi
Published: February 2023

Numerous training simulators have been developed using virtual reality (VR) owing to their various advantages. Systems for training machine operations with physical movements face differences in the operational feel between actual and virtual machines. Moreover, virtual training is problematic in safety education because trainees in safe virtual environments can exhibit unsafe behavior in reality. To solve these problems, a previous study developed a virtual reality (VR) system to train a lathe operation with mixed reality using a motion capture system. This study included a function to teach the procedure and safety precautions for straight turning operations using a lathe. To evaluate the training effectiveness of this system, an experiment was conducted to compare learning using a video. Testees were divided into a simulator group, who learned with the system, and a video group, who learned with the video material. Work on the actual lathe by each testee after learning, was evaluated. Consequently, the actual work by the testees who used this system had fewer errors and shorter standstill times in which they attempted to recollect the next phase task. Although the number of trainees was small, this relationship had a statistical advantage. In the actual work, all the testees in the video group entered the danger area; however, only half of the testees in the simulator group entered the danger area. Therefore, a trainee using a simulator can remember the work process more reliably and accurately and perform it safely. Moreover, trainees who have undergone training several times should be able to perform actual work without making operational errors or engaging in unsafe behaviors.
Performance Evaluation of Image Registration for Map Images
Authors: Kashiwabara Kazuma , Kazama Keisuke , Marumo Yoshitaka
Published: February 2023

Safety must be guaranteed for the widespread use of automated vehicles. Accurate estimation of the automated vehicle’s self-position is crucial to guarantee the safety of the automated vehicle. In this study, the performance of an image registration method using brightness for the self-position estimation of automated vehicles using 2D map images was evaluated. Moreover, the effect of the difference between the two map images on the image registration was evaluated. Consequently, if a two-dimensional Fourier transform is applied to a map image and the brightness gradient feature is present in only one direction, image registration can be performed within a 15 pixels offset in that direction. In addition, image differences in the direction of no brightness gradient were difficult to align. If the brightness gradient is in more than two directions, image registration can be performed within a radius of 10 pixels. Furthermore, failure to align the images in the rotational direction significantly affected the alignment of the images. If a map image is transformed using a two-dimensional Fourier transform and there are multiple brightness gradient features, image registration using the brightness gradient is effective for the map image.
Model Predictive Leg Configuration Control for Leg/Wheel Mobile Robots that Adapts to Changes in Ground Level
Authors: Takahashi Naoki , Nonaka Kenichiro
Published: February 2023

Leg/wheel mobile robots, which have articulated legs ending in a wheel, can walk on legs as well as drive on wheels by switching between those two motive mechanisms in response to the terrain. However, effective control of the redundant degrees of freedom of leg/wheel mobile robots is complex. In this study, we propose a model predictive controller for leg configuration control that achieves both driving along the ground surface and climbing over a step. The proposed method simultaneously optimizes the robot pose, wheel positions, and joint angles. To consider the kinematic configuration of the legs explicitly, we formulate constraints on the relative position between the body and wheels. The ground contact condition of the wheels is approximately expressed as a continuous function with respect to each wheel’s relative position to the ground. This formulation induces smooth lifting of the wheels when the ground level abruptly changes, as when climbing a step. To prevent overturning, we evaluate the load distribution between each grounded wheel and constrain the body position to form a support polygon consisting of the grounded wheels. We conducted numerical simulations to verify that the proposed method achieves both driving on wheels and climbing over a step.
Risk Factor Attitude Survey and Step of Road Detection Method About Wheelchair of Elderly Person
Authors: Asakawa Takashi , Saeki Hidehiro
Published: February 2023

We propose a step-detection system to improve the safety of electric wheelchairs for the elderly. In automobile driving support systems, roads and other environments are being improved, and collision detection and avoidance for vehicles and other pedestrians are being studied and prioritized. However, in the driving environment of electric wheelchairs, it is important to deal with bumps and one-way slopes on the road. In this study, we conducted a survey on elderly people’s awareness of risk factors related to wheelchairs and categorized these risk factors. In addition, we confirmed the usefulness of the step-detecting device by conducting a driving experiment.
Development of a Bimanual Wearable Force Feedback Device with Pneumatic Artificial Muscles, MR Fluid Brakes, and Sensibility Evaluation Based on Pushing Motion
Authors: Sawahashi Ryunosuke , Komatsu Jonah , Nishihama Rie , Okui Manabu , Nakamura Taro
Published: February 2023

In a virtual reality (VR) space, wearing a head-mounted display can help with the visualization of objects; however, users cannot experience realistic tactile sensations. Recently, several force feedback devices have been developed, including wearable devices that use straight-fiber-type pneumatic muscles and magnetorheological fluids. This allows the devices to render elastic, frictional, and viscous forces during spatially unrestricted movement. Nevertheless, a problem remains in that previous devices could handle many bilateral upper limb movement tasks. Therefore, this study aims to develop a device that can handle movements that interact with both arms. Based on experiments concerning the pushing motion in a VR space, the influence of the pseudo force sense was determined to not be small. In addition, we confirmed that the force sensation presented by this system was more realistic when the robot was operated with both arms than when operated with the right arm.
Method to Achieve High Speed and High Recognition Rate of Goal from Long Distance for CanSat
Authors: Akiyama Miho , Ninomiya Hiroshi , Saito Takuya
Published: February 2023

A structure is proposed for high-speed goal recognition by SSD MobileNet using the Coral USB Accelerator. It was confirmed that the goal recognition rate from a long distance is equal to or better than that of conventional methods. Using this method, two CanSat contests were won. The aim of the CanSat competitions is to guide the CanSat to a distance of 0 m from the goal. It is initially guided by GPS but must eventually employ an image recognition model to identify the nearby goal. Zero-meter guidance to the goal was achieved in the Tanegashima Rocket Contest 2018 using a method that recognized the color of the goal by the color of the image, but it was vulnerable to changes in lighting conditions, such as weather changes. Therefore, a deep-learning method for CanSat goal recognition was applied for the first time at ARLISS 2019, and the zero-distance goal was achieved, winning the competition. However, it took more than 10 s for recognition owing to the CPU calculations, making it time consuming to reach the goal. The conventional method uses image classification to recognize the location of a goal by preparing multiple regions of interest (ROIs) in the image and repeating the recognition operations for each ROI. However, this method has a complex algorithm and requires the recognition of more ROIs to recognize goals over long distances, which is computationally time consuming. Object detection is an effective method to identify the location of the target object in an image. However, even if the lightest SSD MobileNet V1 and V2 and a hardware accelerator are used, the computation time may not be short enough because the computer is a Raspberry Pi Zero, the weakest class of Linux computers. In addition, if SSD MobileNet V1 and V2 do not have a sufficiently high recognition rate at long distances from the goal compared with conventional methods, it will be difficult to adapt them to a CanSat. To clarify this, SSD MobileNet V1 and V2 were applied to a Raspberry Pi Zero connected to a Coral USB Accelerator, and the recognition rate and recognition time were investigated at long distances from the goal. It was found that the recognition rate was equivalent to or better than that of the conventional method, even at long distances from the goal, and that the recognition time was sufficiently short (approximately 0.2 s). The effectiveness of the proposed method was evaluated at the Noshiro Space Event 2021 and Asagiri CanSat Drop Test (ACTS) 2021, and the 0-m goal was achieved at both events.
Monitoring System Using Ceiling Camera and Mobile Robot
Authors: Satake Junji , Jogo Futoshi , Hiraki Kurumi , Iwasaki Kohei , Shirouzu Taisei
Published: February 2023

In this letter, we propose a monitoring system that employs a ceiling camera and a mobile robot. Ceiling camera is used to estimate the position of a fallen person, which is used by the robot to navigate to the person’s vicinity to examine his or her condition. This is done by transmitting the height information of obstacles and the fallen person from the ceiling camera to the robot so that it can accurately localize itself and plan a safe route. An actual system was constructed and verified that the required movements could be executed.
Identification of Shaft Stiffness and Inertias in Flexible Drive Systems
Authors: Dhaouadi Rached , Hafez Ishaq
Published: February 2023

This letter presents an identification method for motor drive systems with flexible shafts and couplings using frequency response measurement. The drive system can be approximated as a two-mass non-rigid mechanical system to model the lowest resonant frequency with three parameters to be identified: the motor side inertia, the load side inertia, and the shaft stiffness. The proposed method does not require knowledge of the total inertia as many other techniques require. However, additional known inertia is added or removed from the load side assembly. The frequency response measurement is carried out with and without additional inertia to identify the resonant and anti-resonant frequencies. It is shown that this procedure directly identifies the two inertias and shaft stiffness and can be utilized to assist in the commissioning of electrical drives.
Türkiye’nin İlk Milli Parkına Yönelik Çevrim İçi Ziyaretçi Yorumlarının İncelenmesi: TripAdvisor Örneği
Authors: ŞENGÜL Ali , ÇILGINOĞLU Hakkı
Published: February 2023

Bir destinasyonu deneyimlemiş turistler, bu destinasyonda yaşadıkları olumlu ve/veya olumsuz durumları potansiyel turistleri uyarmak ya da onları da aynı duyguları yaşamaları için teşvik etmek amacıyla paylaşmaktadır. Teknolojinin gelişmesiyle birlikte seyahat inceleme sitelerinin sayılarında artışlar yaşanmıştır. Bu artışla birlikte turistler, deneyimlerini çok daha fazla kişiyle paylaşma imkanına, potansiyel turistler de daha fazla deneyimi okuma imkanına erişmiştir. Bir destinasyonun daha fazla turiste ulaşması ve bu durumun sürdürülebilirliği için turistlerin memnuniyet düzeylerinin en üst seviyede olması gerekmektedir. Bu kapsamda hazırlanan çalışmada, Yozgat ilinde bulunan ve Türkiye’nin 1958 yılında koruma altına alınarak ilk milli parkı ilan edilen Yozgat Çamlığı Milli Parkı’nı deneyimlemiş turistlerin TripAdvisor isimli seyahat inceleme sitesinde paylaştıkları çevrim içi yorumlar incelenmiştir. Çalışmada, bu milli parkın olumlu/olumsuz ve öne çıkan yönlerinin belirlenmesi ve olumsuz yönlerin ortadan kaldırılarak turistik çekiciliğinin arttırılmasına katkıda bulunmak amaçlanmıştır. İncelenen yorumlar olumlu, olumsuz, bilgi verici ve tavsiyeler şeklinde temalara ayrılmıştır. Yapılan analiz sonucunda Yozgat Çamlığı Milli Parkı’nı ziyaret etmiş turistlerin oldukça memnun bir şekilde ayrıldıkları ve potansiyel turistlere mutlaka görülmesi gereken bir mekan olduğu yönünde tavsiyeler verdikleri görülmüştür. Olumsuz yorumların oldukça az olduğu belirlenmiştir. Ayrıca turistlerin milli parkın tarihi geçmişi hakkında bilgi sahibi oldukları ve günümüzdeki durumu hakkında da diğer turistleri bilgilendirici yorumlar yaptıkları belirlenmiştir.
Postmodern, Lüks Moda Tüketim Kültüründe Geleneksel Kadın İmgesi: Aysha Dergisi Örneği
Authors: KÖSEOĞLU Koktay Irmak , ULUSU Yesim , YÖNET Önder
Published: February 2023

Bu çalışmanın amacı Türkiye’nin tek geleneksel kadın, yaşam ve stil dergisi olan Aysha dergisinin reklamlarına yönelik bir araştırma yapılarak geleneksel kadın imgesinin lüks tüketim bağlamında nasıl tanımlandığını ortaya çıkarmaktır. Araştırma iki bölümden oluşmaktadır. Birinci bölümde reklamlar içerik analizi yöntemi ile incelenmiş, böylelikle reklam mesajı ve içeriği ortaya çıkarılmıştır. Araştırmanın ikinci bölümünde ise stil sayfaları olarak adlandırılan bölümdeki fiyat bilgisi olan ve olmayan lüks markalar kategorize edilmiş, dergideki lüks marka kullanımı, lüks marka ve ürünlerin hedef kitleye nasıl sunulduğu, hangi marka ve ürünlerin bu kitleye hitap ettiği hakkında detaylı bir gözlem yapılmıştır. Ocak 2013’ten beri aylık yayınlanan Aysha dergisinin 2013-2017 yıllarındaki reklamları içerik analizi yöntemiyle değerlendirilerek geleneksel kadın imgesinin özellikleri ortaya çıkarılmıştır. Bu sayede geleneksel kadın imgesinin bir geleneksel kadın dergisinde nasıl işlendiği, en çok reklamı yapılan ürün veya hizmet kategorilerinin neler olduğu, reklamların mesaj stratejilerinin ne olduğu, reklam değişkenleri içerisindeki geleneksel söylemlerin ne derece kullanıldığı, Aysha dergisinin hedef kitlesi ile reklam hedef kitlesinin uyumluluğu sorgulanmıştır. İçerik analizi yöntemi ile geleneksel kadın imgesi ve rol modelinin özellikleri ortaya çıkmıştır. İçerik analizinin sonucuna göre Aysha dergisindeki reklam mesajları geleneksellik daha sonra şıklık temaları üzerinden şekillenmiştir. Kadın imgesinin geleneksel olduğu kadar modaya uygun olarak da tanımlandığı görülmüştür.
Türkiye’de Sinema Sektörünün Geçmişi; Bugünü ve Yarını: Karşılaştırmalı Bir Çalışma
Authors: DOĞANAY Mete , AKTAŞ Mansur Konuralp
Published: February 2023

Barındırdığı önemli özellikler sinemayı bir sanat ve eğlence kaynağı olmanın çok ötesine taşımıştır. Sinema ile ilgili yapılan birçok çalışma sinemayı değişik açılardan ele almıştır. Bu çalışmada sinemaya geniş bir perspektiften bakılmış ve sinema ile ilgili yapılan değişik birçok çalışma ile birlikte Internet Movie Database (IMDB)’de yer alan Türk filmleri ile ilgili araştırmalardan yararlanılmıştır. Çalışmanın temel amacı Türkiye’deki sinema sektörünü incelemek olmakla beraber, bir karşılaştırma imkânı sağlaması açısından dünyada sinema endüstrisi alanında önemli yeri olan başta ABD (Hollywood) olmak üzere örnek teşkil edebilecek Hindistan (Bollywood) ve Nijerya (Nollywood) sinema sektörlerinin de değişik açılardan incelenmesidir. Çalışmanın ilk iki bölümünde Hollywood, Bollywood ve Nollywood film endüstrilerinin gelişimi el alınmıştır. Üçüncü bölümde Türk sinemasının doğuşu ve gelişimi incelenmiştir. Çalışmanın dördüncü bölümünde ise Türk sinemasında film içerikleri örneklerle sunulmuştur. Son bölümde ise Türk sinemasının genel bir değerlendirmesi üzerinden Türk sinemasının geleceği üzerine fikirler ortaya atılmaktadır.
Covid-19 Pandemisinde Sağlık Personelinin Tükenmişlik Durumunun İncelenmesi
Authors: ARSLAN Ümit , ÇAĞATAY Altuğ , SAVAŞ Aslı Yasemen
Published: February 2023

Bu çalışmada Tokat Devlet Hastanesi’nde Covid-19 Pandemi Polikliniği’nde ve Covid-19 ile ilgili yataklı servislerde çalışan sağlık personelinin tükenmişlik düzeylerinin belirlenmesi amaçlanmıştır. Veri toplama toplama aracı olarak anket kullanılmıştır. Çalışmada 387 sağlık personeline Maslach tükenmişlik ölçeği uygulanmıştır. T testi, tek yönlü varyans analizi ve korelasyon analizi yapılmıştır. Sağlık personelinin genel tükenmişlik puan ortalaması x̄=2.91, duygusal tükenme x̄=3.59, duyarsızlaşma x̄=2.63 ve kişisel başarı x̄=2.37 puan olarak bulunmuştur. Sağlık çalışanlarında duygusal tükenme yüksek, duyarsızlaşma orta düzeyde ve kişisel başarı algıları düşük düzeyde bulunmuştur. Hizmete yeni başlayan, bekar ve çocuğu olmayan personelin ve hemşirelerin tükenmişlik düzeyleri yüksek bulunmuş olup daha fazla desteklenmesi gerekmektedir. Buna göre sağlık personelinde duygusal tükenmenin yüksek, duyarsızlaşmanın orta düzeyde ve kişisel başarı durumunun ise düşük düzeyde olduğu görülmüştür. Hekimlerde duyarsızlaşma, hemşirelerde duygusal tükenme yüksek, sağlık memurlarında kişisel başarı düzeyi düşük bulunmuştur. Sağlık personelinin yaşadığı işe bağlı stres faktörlerine verilen yanıtlara göre en fazla stres faktörleri; ödüllendirmenin olmayışı ve takdir edilmeme, çalışma sistemindeki uyumsuzluklar, hasta ve hasta yakınlarının beklenti ve istekleri ile başa çıkmak ve ekonomik yetersizlikler olduğu görülmüştür. Bu nedenle sağlık personelinin çalışma ortamı ve çalışma şartlarının iyileştirilmesinin sağlanması gerekmektedir.
Kadın Akademisyenlerin İşteki Mutluluğu ve Tatmini İçin Ne Gerekli? Çalışma Yaşamı Kalitesi ve Bilinçli Farkındalık Bağlamında Bir Araştırma
Authors: ERME Tahsin , ALPARSLAN Ali Murat
Published: February 2023

Çalışmanın amacı, bireysel ve örgütsel düzeydeki olumlu ve olumsuz çıktılara etkisi bulunan bilinçli farkındalığa hangi çalışma yaşamı kalitesi unsurlarının etkisinin olduğunu tespit etmektir. Buna ek olarak çalışma yaşamı kalitesinin olumlu örgütsel çıktılara etkisinde bilinçli farkındalığın aracılık rolünün varlığının incelenmesi de bir diğer amacı oluşturmaktadır. Araştırma, çalışma hayatında çeşitli zorluklarla karşılaşan kadın akademisyenler bağlamında gerçekleştirilmiştir. Bu çerçevede çalışma yaşamı kalitesinin bilinçli farkındalık üzerindeki etkisi ve bilinçli farkındalığın olumlu örgütsel çıktılar üzerindeki etkisi analiz edilmiştir. Son aşamada, çalışma yaşamı kalitesinin olumlu örgütsel çıktılar üzerindeki etkisinde bilinçli farkındalığın aracı rolü incelenmiştir. Araştırma verileri, 516 kadın akademisyenden elde edilmiştir. Analiz bulgularına göre, çalışma yaşamı kalitesi bilinçli farkındalığı pozitif yönde etkilemektedir. Aynı zamanda bilinçli farkındalığın işyeri mutluluğu ve iş tatmini gibi olumlu örgütsel çıktılara pozitif yönlü etkisi bulunmaktadır. Bunun yanında, çalışma yaşamı kalitesinin işyeri mutluluğuna ve iş tatminine etkisinde, bilinçli farkındalık kısmi aracı role sahiptir. Temel keşif amaçlarımızı yansıtan bir diğer önemli sonuç, bilinçli farkındalığın oluşmasını sağlayan çalışma yaşamı kalitesi bileşenlerinin iş-aile rolleri dengesi, kişi-iş uyumu, yasal unsurlar ve kurumsal aidiyet tutumundan oluşmasıdır. Son olarak elde edilen bulgu, çalışma yaşamı kalitesinin alt boyutu olan kişi-iş uyumunun işyeri mutluluğunu bilinçli farkındalığın tam aracılık rolü ile açıklayabilmesidir.
Fenomen Özelliklerinin Tekrar Satın Alma, Ağızdan Ağıza İletişim ve Daha Fazla Ödeme Niyetine Etkisinin İncelenmesi
Authors: YAVUZ Duygu , SAĞLAM Mehmet
Published: February 2023

Sosyal medya platformları ile birlikte tercih edilme oranı hızla artan fenomen pazarlama kavramıyla firmalar, tüketicileri etkileyecek fenomen kişilere odaklanarak hedef kitlesine erişebilmek için iş birliği yapmaktadır. Hazırlanan çalışmada fenomenlerin çekicilik, uzmanlık ve güvenilirlik özelliklerinin davranışsal niyet boyutlarından tekrar satın alma, ağızdan ağıza iletişim ve daha fazla ödeme niyeti üzerindeki etkisinin incelenmesi amaçlanmıştır. Araştırmanın evreni sosyal medya platformu kullanan kişiler olarak belirlenmiş ve kolayda örnekleme yöntemi kullanılmıştır. 356 kişilik örneklem üzerinden veri analizi yapılmıştır. Araştırma hipotezleri yapısal eşitlik modeli ile değerlendirilmiştir. Veri analizinde SPSS 22 ile LİSREL 8.7 programları kullanılmıştır. Hipotez test sonuçlarında çekiciliğin tekrar satın alma, ağızdan ağıza iletişim ve daha fazla ödeme niyeti üzerinde pozitif yönde etkili olduğu, güvenilirliğin sadece ağızdan ağıza iletişim üzerinde etkiye sahip olduğu belirlenmiştir. Uzmanlığın ise davranışsal niyetler üzerindeki etkisi istatistiksel olarak anlamlı bulunmamıştır.
Human Resources Strategies for Academic Staff in State Universities During Covid-19 Period
Authors: YILMAZ Canan
Published: February 2023

After the first detection of Covid-19 in Turkey on March 11, 2020, when health concerns were high, services had to continue without interruption. This requirement made the effective use of HRM critical, and HR strategies suitable for the Covid-19 period had to be developed. Especially in higher education institutions, which are the places where these strategies are produced in the theoretical sense, it arouses curiocity that which strategies are applied to academic staff. In this context, the study aims to reveal the human resources strategies implemented by state universities for academic staff during the Covid-19 period. In the study, 12 personnel department heads working in universities are selected as a sample from URAP success lists through purposive sampling. Qualitative content analyzes are conducted on the data obtained by applying the sampling semi-structured interview technique. Data visualization is made with MAXQDA 2020. As a result of the study, it is determined that digital HRM and virtual meeting strategies are applied to academic staff during the Covid-19 period. It is determined that talent management practices, organizational agility, cyber security, online training, remote auditing, uncertainty tolerance, and flexibility strategies are implemented to a certain a degree.
The role of victimisation and sleep quality in self-harm and depression among sexual minority adolescents. A prospective cohort study.
Authors: TEPMAN Alexandra , WONG Mark Lawrence
Published: February 2023

Sexual minority adolescents (SMA) have a disproportionately high prevalence of victimisation, self-harm and depressed mood, compared to the general population, while the contributing and mechanistic factors are unclear. We aim to explore the directional relationship between victimisation and self-harm and depressed mood, with poor sleep quality as a possible mediator. A secondary data analysis was conducted using a nationally representative birth cohort in the United Kingdom, where participants self-identified as sexual minority (N=1922, aged 11-13, 67.1% female) and their parents completed questionnaires and interviews when the participants were aged 11, 14 and 17. Logistic and linear regression were used to test whether victimisation prospectively predicted self-harm and depressed mood with mediation analyses conducted to assess if sleep onset latency and nocturnal awakening mediated their relationships. After adjusting for demographic factors and baseline self-harm and depressed mood, victimisation at age 11 significantly predicted self-harm (OR=1.40, p<.01) and depressed mood (B=.024, SE= .01, p<.05) at age 17. In the mediation analyses, frequent nocturnal awakening at age 14, but not sleep onset latency, significantly mediated the effect of victimisation at age 11 on self-harm (indirect effect B=.008, SE=.004, 95%CI=.001-.017) and depressed mood (indirect effect B=.005, SE=.002 95%CI=.001-.010) at age 17. Our findings supported that victimisation contributed to negative mental health among SMA. Poor sleep quality could be an indicator of maladjustment with victimisation, which further increased vulnerability to negative mental health. Victimisation and sleep quality could be important assessment targets in mental health campaign among sexual minority adolescents.
Challenges and problems of reforming the forestry sector in Russia
Authors: Шварц Е.А. , Шматков Н.М. , Карпачевский М.Л. , Байбар А.С.
Published: February 2023

Несмотря на неэффективность «универсальной» модели лесного хозяйства, результатом которой является истощение доступных лесных ресурсов для лесной промышленности, завышение в 2-3 раза расчетной лесосеки в ряде лесопромышленных регионов, уменьшение площади и доли в насаждениях твердолиственных пород и кедровых сосен, а также возрастание темпов утраты малонарушенных массивов первичных лесов, органы управления лесным хозяйством России стремятся сохранять традиционное экстенсивное лесное хозяйство. Профильные ведомства, вопреки принятым в 2013–2018 гг., стратегическим документам по развитию лесного комплекса, не стимулируют на практике переход к интенсивному лесному хозяйству. Последнее требует брать арендную плату за единицу площади аренды; переход лесопользования на рубки по «диаметру» зрелостии т.п. Переход от экстенсивной модели на модель интенсивного использования и восстановления лесов экономически выгоден в регионах с более высокой биопродуктивностью лесных земель, с большей плотностью лесных дорог и развитой инфраструктурой. Представляется актуальной задача пространственной де-маргинализации лесного комплекса страны – сдвиг лесосырьевой базы и инфраструктуры переработки из северной тайги ЕТС и Средней и Восточной Сибири во вторичные леса зоны хвойно-широколиственных и южно-таежных лесов ЕТС с достаточно развитой и более густой дорожной сетью.

Inefficiency of the «universal» traditional forestry model, which results in depletion of available forest resources for forestry industry, an overestimation of allowable cut in forestry regions by 2-3 times, and a decrease in area and share the most valuable and ecologically significant hardwoods and cedar pines, as well as an increase in the rate of intact primary forests loss. . The departments in charge, contrary to strategic governmental documents adopted in 2013–2018, do not take steps to stimulate transition to an intensive forestry model, which requires to charge fees based on a unit of leased area, and not the volume of cut wood; the transition of forest management to felling based on tree diameter instead on the tree age, etc. It is obvious that the transition to a model of intensive use and restoration of forests is more economically beneficial in regions with higher biological productivity of forest lands, with a greater density of forest roads and more developed infrastructure. The problem of spatial demarginalization of the country's forest complex seems to be an urgent task – the shift of forest resource base and processing infrastructure from the northern taiga of European Russia (ER) and Central and Eastern Siberia to secondary forests of coniferous-broad-leaved and southern taiga forests in ER with a developed and denser road network (6-7 km per 1000 ha and above). This position is confirmed by growth of investments in timber processing and production of wood-based panels, sheet materials, etc. by private companies.
Effect of alkaline catalysts on slurry mixtures
Authors: Зубова О.В. , Силецкий В.В.
Published: February 2023

Актуальность вопроса расширения лесной инфраструктуры в Российской Федерации с каждым годом увеличивается и сталкивается с экономическими, экологическими и эксплуатационными проблемами в связи с широкой географией нашей страны. Представленное исследование направлено на комплексное решение озвученных проблем. Использование отходов промышленности в смеси с грунтами и щелочными добавками позволит сократить дефицит дорожно-строительных материалов, а утилизация значительных объемов отходов положительно скажется на экологической составляющей. Представленные в исследовании материалы соответствуют ГОСТ по своим физико-механическим характеристикам. Даны первичные рекомендации по применению катализаторов в шламогрунтовых смесях.

The urgency of the issue of expanding the forest infrastructure in the Russian Federation is increasing every year and faces economic, environmental and operational problems due to the wide geography of our country. The presented research is aimed at a comprehensive solution of the voiced problems. The use of industrial waste mixed with soils and alkaline additives will reduce the shortage of road construction materials, and the disposal of significant amounts of waste will have a positive impact on the environmental component. The materials presented in the study comply with SUST in terms of their physical and mechanical characteristics. Primary recommendations on the use of catalysts in sludge-soil mixtures are given.
Models for the formation of the main parameters of wheel feller bunchers
Authors: Андронов А.В. , Зверев И.А. , Тюрина М.С. , Тарадин Г.С. , Михайлов О.А.
Published: February 2023

Исследование посвящено анализу основных технических характеристик колесных узкозахватных валочно-пакетирующих машин фронтального типа методами стохастического математического моделирования. Проанализированы были следующие параметры: мощность двигателя, масса машин, давление на грунт, энергонасыщенность, максимальный диаметр срезаемых деревьев и масса захватно-срезающих устройств. В результате статической обработки с применением программного обеспечения Statgraphics 18 были получены законы распределения каждого из исследуемых параметров. Также был проведен однофакторный и многофакторный регрессионный анализ. В результате однофакторного регрессионного анализа были получены зависимости мощности двигателя, давления на грунт и массы машины от максимально возможного диаметра срезаемых деревьев. Двухфакторный регрессионный анализ позволил получить зависимости: мощности двигателя от максимального диаметра срезаемых деревьев и массы машины; массы машины от максимального диаметра срезаемых деревьев и мощности двигателя; давления на грунт от максимального диаметра срезаемых деревьев и мощности двигателя. Полученные регрессионные зависимости позволяют приближенно определить значения величин мощности, массы машины и давления на грунт, как на стадии конструкторской разработки, так и при выборе машины для эксплуатации в зависимости от требований к диаметру срезаемых деревьев.

The research is devoted to the analysis of the main technical characteristics of wheeled narrow-grip feller buncher machines of frontal type by methods of stochastic mathematical modeling. The following parameters were analyzed: engine power, machine weight, ground pressure ground, power capacity, maximum diameter of trees to be cut and the weight of the feller head. As a result of static processing with Statgraphics 18 software, the laws of distribution of each of the investigated parameters. Also, a singlefactor and multifactor regression analysis. As a result of the one-factor regression analysis we received the dependences of the engine power of the engine, ground pressure and machine weight on the maximum possible diameter of the trees to be cut. The two-factor regression analysis made it possible to dependences of: engine power from the maximum diameter of trees to be cut of trees to be cut and the weight of the machine; the weight of the machine from the maximum diameter of trees to be cut and engine power; ground pressure from maximum diameter of trees to be cut and engine power. The obtained regression dependencies make it possible to approximate values of power, machine weight and ground pressure both at the stage of design development stage and when choosing a machine for operation depending on requirements to cutting diameter.