An effective diagnosis method to support yield improvement

Author(s):  
C. Hora ◽  
R. Segers ◽  
S. Eichenberger ◽  
M. Lousberg
2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Huali Yang ◽  
Renying Wang ◽  
Liangchao Zhao ◽  
Jinhua Ye ◽  
Nengping Li ◽  
...  

In order to explore the effective diagnosis method of gynecological acute abdomen, this paper takes hospital gynecological acute abdomen patients as samples and selects gynecological acute abdomen patients admitted to the hospital to be included in this study. They are divided into transabdominal ultrasound group, intracavitary ultrasound group, and combined group. Moreover, this paper uses mathematical statistics to carry out sample statistics. The statistical data mainly include ectopic pregnancy, torsion of ovarian tumor pedicle, acute suppurative salpingitis, torsion of fallopian tube, hemorrhagic salpingitis, acute pelvic inflammatory disease, rupture of corpus luteum cyst, and diagnosis accuracy rate. In addition, this paper compares the diagnostic accuracy of the abdominal ultrasound group, the intracavitary ultrasound group, and the combined group. The experimental research shows that the combined ultrasound diagnosis method can effectively improve the accuracy of the diagnosis of gynecological acute abdomen.


Author(s):  
Ahmed Hassin

Organisations are part of interactive and dynamic environments and modern organisations face considerable pressure to meet or exceed customer/ beneficiary’s and stakeholders’ expectations. The key to establishing effective change and transformation in organisations lies in the early stages of assessment and diagnosis: if diagnosis is wrong, treatment will be ineffective. An organisation development programme should be based on a sound analysis of relevant data about the problem situation, and during the diagnosis process, it is important to look at both the environment and organisation. The OD practitioner’s choice of a certain diagnosis method or model or a combination of methods depends on the context, type of problem and organisation.


2020 ◽  
Vol 64 (1-4) ◽  
pp. 137-145
Author(s):  
Yubin Xia ◽  
Dakai Liang ◽  
Guo Zheng ◽  
Jingling Wang ◽  
Jie Zeng

Aiming at the irregularity of the fault characteristics of the helicopter main reducer planetary gear, a fault diagnosis method based on support vector data description (SVDD) is proposed. The working condition of the helicopter is complex and changeable, and the fault characteristics of the planetary gear also show irregularity with the change of working conditions. It is impossible to diagnose the fault by the regularity of a single fault feature; so a method of SVDD based on Gaussian kernel function is used. By connecting the energy characteristics and fault characteristics of the helicopter main reducer running state signal and performing vector quantization, the planetary gear of the helicopter main reducer is characterized, and simultaneously couple the multi-channel information, which can accurately characterize the operational state of the planetary gear’s state.


2019 ◽  
Vol 139 (2) ◽  
pp. 130-135
Author(s):  
Masanobu Yoshida ◽  
Yoshinori Konishi ◽  
Masamichi Kato

2018 ◽  
Vol 1 (2) ◽  
Author(s):  
Yasuhiro Nakajima

Surgical treatment for thoracic outlet syndrome (TOS) is a very controversial surgery because objective diagnosis, such as image and electrophysiological examination, is very difficult. Clinical provocation tests including brachial plexus compression tests, such as Morley and Roos, and vascular compression tests, such as Wright and Eden ,are not high in specificity and are likely to be positive even in healthy persons and patients with carpal tunnel syndrome. We place emphasis on the laterality of latency and amplitude in the sensory neural action potential (SNAP) of the medial antebrachial cutaneous nerve and ulnar nerve. After enough stretching exercises of scapular stabilizers and brachial plexus block, we always select surgery. In this presentation, I would like to show our diagnosis method and treatment strategy including surgery.


Author(s):  
Jenny Fan ◽  
Dave Mark

Abstract Metal interconnect defects have become a more serious yield detractor as backend process complexity has increased from a single layer to about 10 layers. This paper introduces a test methodology to monitor and localize the metal defects based on FPGA products. The test patterns are generated for each metal layer. The results not only indicate the severity of defects for each metal layer, but also accurately isolate open/short defects.


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