A configurable board-level adaptive incremental diagnosis technique based on decision trees

Functional diagnosis for complex electronic boards is a time-consuming task that requires big expertise to the diagnosis engineers. In this paper we propose a new engine for board-level adaptive incremental functional diagnosis based on decision trees. The engine incrementally selects the tests that have to be executed and based on the test outcomes it automatically stops the diagnosis as soon as one or more faulty candidates can be identified, thus allowing to reduce the number of executed tests. Moreover, we propose a configurable early stop condition for the engine that allows to further reduce the number of executed tests leveraging the diagnosis accuracy. The effectiveness of the proposed approach has been assessed using a set of synthetic but realistic boards and three industrial boards

Redox Bulk Energy Storage System Study, Volume 2

For abstract, see N77-33608

Implementation and design of new low-cost foot pressure sensor module using piezoelectric sensor in T-FLoW humanoid robot

Basically, human can sense the active body force trough the soles of their feet and can feel the position vector of zero moment point (ZMP) based on the center of pressure (CoP) from active body force. This behavior is adapted by T-FLoW humanoid robot using unique sensor which is piezoelectric sensor. Piezoelectric sensor has a characteristic which is non-continuous reading (record a data only a moment). Because of it, this sensor cannot be used to stream data such as flex sensor, loadcell sensor, and torque sensor like previous research. Therefore, the piezoelectric sensor still can be used to measure the position vector of ZMP. The idea is using this sensor in a special condition which is during landing condition. By utilizing 6 unit of piezoelectric sensor with a certain placement, the position vector of ZMP (X-Y-axis) and pressure value in Z-axis from action body force can be found. The force resultant method is used to find the position vector of ZMP from each piezoelectric sensor. Based on those final conclusions in each experiment, the implementation of foot pressure sensor modul using piezoelectric sensor has a good result (94%) as shown in final conclusions in each experiment. The advantages of this new foot pressure sensor modul is low-cost design and similar result with another sensor. The disadvantages of this sensor are because of the main characteristic of piezoelectric sensor (non-continuous read) sometimes the calculation has outlayer data

Cotton-wool spots, red-lesions and hard-exudates distinction using CNN enhancement and transfer learning

The automatic retinal disease diagnosis by artificial intelligent is an interesting and challenging topic in the medical field. It requires an appropriate image enhancement technique and a sufficient training dataset for the specific retina conditions. The aim of this study was to design an automatic diagnosis convolutional neural network (CNN) model which does not require a large training dataset to specifically identify diabetic retinopathy symptoms, which are cotton wool, exudates spots and red lesionin colour fundus pictures. A novel framework comprised image enhancement method by using upgraded contrast limited adaptive histogram equalization (UCLAHE) filter and transferred pre-trained networks was developed to classify the retinal diseases regarding to the symptoms. The performance of the proposed framework was evaluated based on accuracy, sensitivity and specificity metrics. The collected results have proven the robustness of the proposed framework in offering good accuracy in retina diseases diagnosis.

CURRICULUM LEADERSIHP: STRATEGIES FOR LINKING THE WRITTEN AND DELIVERED CURRICULIM

The focus will be put on teachers as curriculum leaders, being challenged on a daily basis by how to attend to the delivered curriculum(the practice) without neglecting the written curriculum(the theory), and vice versa, all the while analyzing strategies that will link both curricula and implement these conclusions in their further teaching practice.Curricula present written guides identifying the content and material that should be covered, and are given to teachers (sometimes) as a detailed guide to follow religiously. However, as opposed to theory, practice is a different and delicate matter, as the teachers tries not to overstep the boundaries of the curriculum already include as much of their own creative energy as possible. These points will be expanded through analysis of the results of a qualitative research on the understanding of the content of leadership, done on pre-school and primary school teachers, whose everyday contact with their pupils will illustrate the reality of leadership in schools in the local context of R. Macedonia.Furthermore, the “how” of overcoming the challenges on the path of successful school leadership, however tricky they might be will be analyzed from firsthand experiences and compared through the matrix of what is considered able to “correct”. As educators, we successfully bridge the gap between theory and practice, to apply the theoretical know-how in a realistic classroom setting, and to convert the written paradigms into practice, thus only through educational leadership can we overcome the pedagogical challenges and effectively transfer the knowledge to the students, bringing about positive outcomes.&nbsp

A Note : Practice of Educational Information Processing

Departmental Bulletin PaperSome　innovations　of　school　education　by　computer-instrumentaion　are　advanced　year by　year.　First,　the　relationship　between　school　education　and　computer　is　described　briefly. 　After available　types　of　CAI,　and　the　educational　significance　of　computer-instrumentations, are　explained,　examples　of　computer　utilization　in　each　school-subject　are　introduced.　Some　theoretical　situations　of　classroom　administration　and　school management　by computer　are　explained.　Two　teachers' hand-made　software　for　data-processing　of　academic　performance　and　for　S-P　analysis　are　explained　with　concrete procedures.　Finally　some problems　for　the　future　of　informationalized　society　are　discussed.滋賀大学教育学部紀要, I, 教育科学, 第47号, pp.101-121departmental bulletin pape

Normal Versus Abnormal ECG Classification by the Aid of Deep Learning

With the development of telemedicine systems, collected ECG records are accumulated on a large scale. Aiming to lessen domain experts’ workload, we propose a new method based on lead convolutional neural network (LCNN) and rule inference for classification of normal and abnormal ECG records with short duration. First, two different LCNN models are obtained through different filtering methods and different training methods, and then the multipoint-prediction technology and the Bayesian fusion method are successively applied to them. As beneficial complements, four newly developed disease rules are also involved. Finally, we utilize the bias-average method to output the predictive value. On the Chinese Cardiovascular Disease Database with more than 150,000 ECG records, our proposed method yields an accuracy of 86.22% and 0.9322 AUC (Area under ROC curve), comparable to the state-of-the-art results for this subject

Aeronautical engineering: A continuing bibliography with indexes (supplement 268)

This bibliography lists 406 reports, articles, and other documents introduced into the NASA scientific and technical information system in July, 1991. Subject coverage includes: design, construction and testing of aircraft and aircraft engines; aircraft components, equipment and systems; ground support systems; and theoretical and applied aspects of aerodynamics and general fluid dynamics

Optical dip probes for near-infrared spectroscopic glucose sensing in peritoneal fluid

The aim of this study was to investigate the possibilities of using near infrared spectroscopic measurements to detect and quantify glucose concentration in peritoneal fluid samples. This was done with a fibre dip probe in samples obtained from patients at St. Olavs Hospital. The measurements was done by transflection in small sample volumes, hoping to shed some light the eventual future application of this method in an implantable glucose sensor. The acquired spectra were analysed with the use of the multivariate calibration techniques PCA and PLSR. Particular useful wavelengths were identified by MWPLSR