Photolithographically Home-Made PVDF Sensor for Cavitation Impact Load Measurement

Piezoelectric PVDF sensors offer a unique option for the measurement of cavitation aggressiveness represented by the magnitude of impacts due to cavitation bubble collapses near walls. The aggressiveness measurement requires specific sensor shape and area, whereas commercial PVDF sensors are fabricated in limited geometry and size ranges. The photolithography method offers a possibility of production of home-made PVDF sensors of arbitrary shape and size. The methodology of a unique application of the standard photolithography method, which is commonly used for the production of printed circuit boards, is described in this paper. It enables mass production of high quality sensors contrary to laboratory techniques. This paper deals with the fabrication and the calibration of a photolithographically home-made PVDF sensor for the cavitation impact load measurement. The calibration of sensors was carried out by the ball drop method. Sensors of different sizes were fabricated by the photolithography method from a multi-purpose, both side metallized PVDF sheet. Commercial PVDF sensors of the same size were calibrated, and the calibration results were compared with the home-made sensors. The effect of size and the effect of one added protective layer of Kapton tape on a sensor sensitivity were investigated. The theoretical and numerical analysis was conducted to explain some issues during the ball impact.

Cytomegalovirus Viral Load in Transplanted Patients Using the NeuMoDx™ (Qiagen) Automated System: A 1-Month Experience Feedback

Cytomegalovirus (CMV) reactivations represent a significant morbidity and mortality problem in transplant patients. Reliable and rapid measurement of CMV viral load is a key issue for optimal patient management. We report here the evaluation of NeuMoDx™ (Qiagen) in a routine hospital setting (University Hospitals of Marseille, France) in comparison with our classical reference technique R-GENE. During one month, 719 CMV viral loads from 507 patients were measured in parallel in both techniques. Using the ROC (receiver operating characteristic) curve and our biological experience we suggest that values <52 IU/mL (geometric mean) correspond to negative samples, values >140 IU/mL (Fowlkes–Mallows index) correspond to quantifiable positive results and values ranging from 52 to 140 IU/mL represent non-quantifiable positive results. Follow-up of 15 transplant patients who developed CMV reactivation during the study showed that NeuMoDx™ provided higher viral load measurement during the first two weeks of follow-up for three patients. These important intra-individual variations resulted in a significant median increase considering the whole data set (6.7 points of difference expressed as a percentage of the initial viral load). However, no difference between the two techniques was noticeable after two weeks of treatment. Subsequent to this first study we conclude that NeuMoDx™, used with optimized logistics and an adapted threshold, allows a rapid CMV viral load measurement and that its use does not lead to any difference in patient management compared to the reference technique R-GENE®.

Sistem Monitoring Beban Trafo Distribusi Secara Visual Dan Sms Gateway di PT PLN (Persero)

Economic growth of the community encourages the increasing electricity demand. To meet the electricity demand, of course, it is necessary to increase the capacity of the distribution transformer with the addition of an insert transformer and a new transformer. So that the increasing number of installed transformers is not proportional to the number of officers measuring the transformer load. The problem is the number of transformers is 3,938 units at PLN UP3 Padang with only 70 teams of load measuring officers, so load measurement only reaches 68% in 2019. This is because load measurements are carried out manually by mandating substations one by one, thus requiring large human resources and costs. Under these conditions, an easy and fast load measurement monitoring system is needed. This study uses the Root Cause Problem Solving (RCPS) methodology and System and Equipment Design by creating a Visual Transformer Load Monitoring System and SMS Gateway. With this system and equipment, the load of the substation can be easily seen visually with a light indicator installed on the panel box of the substation pole, so that the condition of the transformer can be quickly identified. The telemetering function with SMS sends load data to officers so that the risk of transformer damage can be reduced because this tool is an early warning against unbalanced loads, one phase outages with the Condition Base Maintenance (CBM) principle so that PLN can maintain transformer lifetime and maintain service quality. Keywords: Load Monitor, Visual and SMS Gateway, Distribution Transformer

Key Benefits of Cloud-Based Internet of Vehicle (IoV)-Enabled Fleet Weight Management System

The fleet industry is flourishing at extreme levels with a wide acceptance of IoV-powered methods in various verticals. Fuel consumption, tire pressure readings, driver’s driving habits, cargo monitoring, load measurement, and many other applications have now become possible in the fleet sector with the implementation of IoV and cloud based applications. Most of the industries heavily rely on transportation to carry loads and other different industrial products. The overall cost of vehicle maintenance involves a significant portionof total operating costs. Vehicle weight plays a major role in transporting goods from one place to the other. Many places have stringent rules regarding load transportation that only a certain amount of weight is allowed through a particular passage or road. This could result in heavy fines if all the regulations are not met and create unwanted expenses. It also creates unnecessary delays in product deliveries, which hampers the reputation of businesses. Hence, a smart solution can be integrated with the fleet sector to avoid extra costs during transit. In this paper, we will highlight the key benefits of IoV-based fleet weight management smart solution for fleet sector