• Title/Summary/Keyword: self-object

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A Study on Counselor's Selfobject Role for Pathological Narcissism (병리적 나르시시즘에 대한 상담자의 자기대상 역할 연구)

  • Yoon, Seok-Min
    • Industry Promotion Research
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    • v.7 no.4
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    • pp.45-52
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    • 2022
  • Based on the Kohut's theory, this study carries out an investigation into the counselor's self object role in pathological narcissism. The theological understandings deal with narcissism, pathology, and self object. Narcissism and pathology can be seen as the failure of the formation of cohesive self. Early infant self, by feeling proper sympathy and love, usually forms integrated cohesive self. In other words, narcissistic personalities, when failing to receive sympathy and accommodation, can result in forming helpless and vulnerable self, which is filled with resentment. In addition, narcissistic characters are afraid of the world and maintain the grandiose image of self to protect themselves from feeling helplessness and emptiness. On the other hand, when they experience accommodation and admiration provided by self object, they can strengthen the image of grandiose self and demonstrate creative abilities as well. An infant remains as a fragmented self, when his or her relationship experience with self object is to be damaged. This study suggests the following conclusions: The counselor's self object role for pathological narcissism should be sympathetic self object so that the counselee will be able to form his or her own healthy cohesive self. Additionally, self object should play a kind role to guide infant desires for ideal models, which eventually help infants to pursue healthy ideas and maintain early states of narcissistic balances.

The Effect of Mother's Object Relation on Mother's Rearing Attitude and Children's Self-Esteem in Children with Attention-Deficit Hyperactivity Disorder (주의력결핍 과잉행동장애 아동에서 어머니의 대상관계가 양육태도와 아동의 자아존중감에 미치는 영향)

  • Ko, Myoung-Jung;Park, Eun-Jin;Lee, Dae-Hwan;Choi, Young-Min;Kim, Bong-Seog
    • Journal of the Korean Academy of Child and Adolescent Psychiatry
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    • v.22 no.4
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    • pp.219-227
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    • 2011
  • Objectives : This study examined maternal object relations, child's and mother's perception on rearing attitude, and children's self-esteem in children with attention-deficit hyperactivity disorder (ADHD) and their mothers. Methods : 64 children with ADHD and their mothers were included in the study group. In the control group, there were 85 children and their mothers. Mothers completed the following tests : Bell object relation inventory (BORI), maternal behavior research instrument (MBRI), Beck Depression Inventory (BDI), and Korean ADHD Rating Scale (K-ARS). Children completed Children's Report of Parental Behavior Inventory (CRPBI) and Rosenberg self-esteem scale. Results : Mothers of ADHD children displayed more rejecting and controlling parenting style than mothers in the control group. ADHD children showed lower self-esteem and perceived their parents as not affectionate, but rejecting and controlling. Mothers with ADHD children who belonged to object relations pathological group showed more rejecting rearing attitude and their children believed that they were more controlling, compared with children and mothers in other conditions. Among factors in mother's object relations, insecure attachment and ego-centricity impacted the rearing attitude. In turn, affective rearing attitude mainly influenced children's self-esteem. Conclusion : This study suggests that the approach focused on mother's object relations may help with the treatment of children with ADHD.

Performance analysis of Object detection using Self-Knowledge distillation method (자가 지식 증류 기법을 적용한 객체 검출 기법의 성능 분석)

  • Dong-Jun Kim;Seunghyun Lee;Byung-Cheol Song
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2022.11a
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    • pp.126-128
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    • 2022
  • 경량화 기법 중 하나인 Knowledge distillation 은 최근 object detection task 에 적용되고 있다. Knowledge distillation 은 3 가지 범주로 나뉘는데 그들 중에서 Self-Knowledge distillation 은 기존의 Knowledge distillation 에서의 pre-trained teacher 에 대한 의존성 문제를 완화시켜준다. Self-Knowledge distillation 또한 object detection task 에 적용되어 training cost 를 줄이고 고전적인 teacher-based methods 보다 좋은 성능을 성취했다.

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3-D Underwater Object Recognition Using PZT-Epoxy 3-3 Type Composite Ultrasonic Transducers (PZT-에폭시 3-3형 복합압전체 초음파 트랜스듀서를 사용한 3차원 수중 물체인식)

  • Cho, Hyun-Chul;Heo, Jin;SaGong, Geon
    • Journal of Sensor Science and Technology
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    • v.10 no.6
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    • pp.286-294
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    • 2001
  • In this study, 3-D underwater object recognition using the self-made 3-3 type composite ultrasonic transducer and modified SOFM(Self Organizing Feature Map) neural network are investigated. Properties of the self-made 3-3 type composite specimens are satisfied considerably with requirements as an underwater ultrasonic transducer's materials. 3-D underwater all object's recognition rates obtained from both the training data and testing data in different objects, such as a rectangular block, regular triangular block, square block and cylinderical block, were 100% and 94.0%, respectively. All object's recognition rates are obtained by utilizing the self-made 3-3 type composite transducer and SOFM neural network. From the object recognition rates, it could be seen that an ultrasonic transducer fabricated with the self-made 3-3 type composite resonator will be able to have application for the underwater object recognition.

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Measurement of 3-D range-image of object diagnolly moving against semiconductor laser light beam

  • Shinohara, Shigenobu;Ichioka, Yoshiyuki;Ikeda, Hiroaki;Yoshida, Hirofumi;Sumi, Masao
    • 제어로봇시스템학회:학술대회논문집
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    • 1995.10a
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    • pp.299-302
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    • 1995
  • Recently, we proposed a 3-D range-image measuring system for a slowly moving object by mechanically scanning a laser light beam emitted from a self mixing laser diode. In this paper, we introduced that every object moves along a straight line course, which is set diagonally against the semiconductor laser beam so that we can recognize each shape and size parameters of objects separately from the acquired 3-D range-image. We measured a square mesa on a square plane as an object. The measured velocity was 4.44mm/s and 4.63mm/s with an error of 0.56mm/s to 0.37mm/s. And thickness error of the mesa was 0.5mm to 0.6mm, which was obtained from the 3-D range-image of the standstill or moving object with thickness of 17.Omm.

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Collision Detection and Response for Non-penetrating Deformable Body (비관통 변형 객체를 위한 충돌 감지 및 반응)

  • Nam, Sang-Ah;Kim, Myoung-Hee
    • Journal of the Korea Computer Graphics Society
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    • v.6 no.1
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    • pp.11-17
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    • 2000
  • We present collision-handling method that includes self-penetration in the case of the colliding between rigid and deformable objects. The collision between objects is detected through the overlap test to the hierarchical structures of the objects. For detecting the collision between the objects at in-between frame, we try overlap test using the structures of a dummy and the rigid objects in addition to the test between the rigid and deformable objects. The dummy object is made from the rigid objects moving direction. When collision occurs, a deformable object must be deformed, as the object doesn't permit penetration. Self-penetration may occur during the object is deformed. It is rapidly detected between the object and a dummy object of another type. The dummy object is made from the object's deformation area between two continuous frames. We constrain the object is deformed until it is self-contacted. Our method can be applied without concerning of the shape of a object.

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3D Object Recognition Using SOFM (3D Object Recognition Using SOFM)

  • Cho, Hyun-Chul;Shon, Ho-Woong
    • Journal of the Korean Geophysical Society
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    • v.9 no.2
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    • pp.99-103
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    • 2006
  • 3D object recognition independent of translation and rotation using an ultrasonic sensor array, invariant moment vectors and SOFM(Self Organizing Feature Map) neural networks is presented. Using invariant moment vectors of the acquired 16×8 pixel data of square, rectangular, cylindric and regular triangular blocks, 3D objects could be classified by SOFM neural networks. Invariant moment vectors are constant independent of translation and rotation. The recognition rates for the training and testing data were 95.91% and 92.13%, respectively.

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Region-based scalable self-recovery for salient-object images

  • Daneshmandpour, Navid;Danyali, Habibollah;Helfroush, Mohammad Sadegh
    • ETRI Journal
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    • v.43 no.1
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    • pp.109-119
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    • 2021
  • Self-recovery is a tamper-detection and image recovery methods based on data hiding. It generates two types of data and embeds them into the original image: authentication data for tamper detection and reference data for image recovery. In this paper, a region-based scalable self-recovery (RSS) method is proposed for salient-object images. As the images consist of two main regions, the region of interest (ROI) and the region of non-interest (RONI), the proposed method is aimed at achieving higher reconstruction quality for the ROI. Moreover, tamper tolerability is improved by using scalable recovery. In the RSS method, separate reference data are generated for the ROI and RONI. Initially, two compressed bitstreams at different rates are generated using the embedded zero-block coding source encoder. Subsequently, each bitstream is divided into several parts, which are protected through various redundancy rates, using the Reed-Solomon channel encoder. The proposed method is tested on 10 000 salient-object images from the MSRA database. The results show that the RSS method, compared to related methods, improves reconstruction quality and tamper tolerability by approximately 30% and 15%, respectively.

Construction of LiDAR Dataset for Autonomous Driving Considering Domestic Environments and Design of Effective 3D Object Detection Model (국내 주행환경을 고려한 자율주행 라이다 데이터 셋 구축 및 효과적인 3D 객체 검출 모델 설계)

  • Jin-Hee Lee;Jae-Keun Lee;Joohyun Lee;Je-Seok Kim;Soon Kwon
    • IEMEK Journal of Embedded Systems and Applications
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    • v.18 no.5
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    • pp.203-208
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    • 2023
  • Recently, with the growing interest in the field of autonomous driving, many researchers have been focusing on developing autonomous driving software platforms. In particular, we have concentrated on developing 3D object detection models that can improve real-time performance. In this paper, we introduce a self-constructed 3D LiDAR dataset specific to domestic environments and propose a VariFocal-based CenterPoint for the 3D object detection model, with improved performance over the previous models. Furthermore, we present experimental results comparing the performance of the 3D object detection modules using our self-built and public dataset. As the results show, our model, which was trained on a large amount of self-constructed dataset, successfully solves the issue of failing to detect large vehicles and small objects such as motorcycles and pedestrians, which the previous models had difficulty detecting. Consequently, the proposed model shows a performance improvement of about 1.0 mAP over the previous model.

Effects of Multisensory Cues, Self-Enhancing Imagery and Self Goal-Achievement Emotion on Purchase Intention

  • CHOI, Nak-Hwan;QIAO, Xinxin;WANG, Li
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.1
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    • pp.141-151
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    • 2020
  • This research aimed at studying the role of self-enhancing imagery and self goal-achievement emotion in the effect of characteristics perceived at advertisements using multisensory cues on purchase intention. Sports shoes advertisement was selected as an empirical research object. Questionnaire survey method was used to collect data. 'WenJuanXing' site was used to make the questionnaire in Chinese, and it was loaded on WeChat and QQ. 260 participants from different regions of China participated in online questionnaire survey. The results of testing the hypotheses by structural equation model in Amos 21.0 program are summarized as followings. The congruency between multisensory cues and self-discrepancy awareness positively evoked the self-enhancing imagery and the self goal-achievement emotion. The object relevance between the consumer and the product advertised did not induce the emotion, but evoked the self-enhancing imagery. Both of the self-enhancing imagery and the self goal-achievement emotion had positive effects on the product purchase intention. When developing advertisement, marketers should focus on multisensory cues' characteristics to enhance the self-enhancing imageries as well as to help feel the goal-achievement emotion. They should pay attention to the ways by which the multisensory cues' characteristics used to develop advertisement can be perceived to be congruent with each other by consumers.