PC Operating Research Articles

A Novel Pole-Changing Permanent Magnet Vernier Motor

This paper proposes a novel pole-changing permanent magnet (PM) vernier machine (PC-PMVM), in which an unevenly distributed modulation tooth (UDMT) structure is adopted in the stator, and a set of three-phase PC-winding is installed in the stator slots. On the rotor, surface-mounted PMs are adopted to generate PM excitation field. Firstly, the topology design principle of PC-PMVM is discussed for the purpose of PC, based on which a 12/34-pole PC-PMVM is proposed. The analytical analysis shows that there are a series of working harmonics in the air-gap and can be grouped into two different types with different phasor diagrams for realizing PC operation. Thus, the speed range can be widened greatly because of the different PM flux linkage and inductances before and after PC. Next, the electromagnetic performance of PC-PMVM is investigated by finite element analysis and compared with an interior PM motor and a PC induction motor. Finally, a prototype is manufactured and tested. The results verify the correctness of theoretical analysis, and show that the proposed motor owns both high torque density and excellent speed-widening capability benefiting from the PC design and PC operation.

A Procedure to Integrate a CIS Sensor in an Additive Manufacturing Machine for In-Situ Digitizing of Deposited Material Layers

A notable constraint to the industrial application of additive manufacturing processes is the lack of geometric accuracy of the parts produced. In-situ inspection systems, therefore, need to be developed to detect and compensate for any geometric deviations that appear during the process. This article proposes a noncontact system for the digitization of deposited material layers, based on a contact image sensor extracted from a low-cost flatbed paper scanner. The viability of using this sensor for such a purpose was analyzed by integrating it in a tailor-made test bench with the dual capability of fused filament fabrication and digitizing of deposited layers. The integration procedure includes analysis of the sensor's operating principle, development of the hardware and control routines required for PC operation, and image processing. To validate the integration, two specimen parts were built and digitized in the test bench. The measurements performed on the captured images showed low discrepancies with respect to those obtained on a coordinate measuring machine.

Time for a Change in U.S. Antitrust for Technology?

Antitrust law makes it illegal For dominant firms to use their Success to impede the Competitive markets, but who Defines "impede" and "competitive?" Today’s column steps back from the fray and characterizes the strengths and weaknesses of the present system. The discussion aims at somebody who wants to understand the status quo, and why the present system works sometimes, and why proposals might want to change it. It is possible to illustrate many basic features of the U.S. approach to antitrust by comparing a settled lawsuit against a pending case. The settled case is the historical case against Microsoft. More than two decades ago, Microsoft fought a high-profile federal case over the governance of its PC operating system. It can be compared with the pending case against Alphabet, who owns and operates Google, the dominant search engine. A federal suit seeks to end exclusive deals that Google makes with others.

Предпосылки создания и особенности эксплуатации двутопливных дизельных установок на газовозах ледового класса типа «YAMALMAX»

The report considers the prerequisites, legal and material prerequisites for the creation of vessels – gas carriers of the “YAMALMAX” type of Arc7 class. Their characteristics, PC design features and operation features of Wartsila50DF dual-fuel engines as part of the ship's power plant are considered.

Sharing용 ESS의 누설전류 발생 메커니즘 및 모델링에 관한 연구

Contrary to a stationary ESS, a sharing ESS is movable and ought to be interconnected with distribution systems at many different locations, which means the reliability of safety for personnel and ESS facilities is essentially required. Especially, the leakage-current due to insulation degradation of customer facilities and load-unbalance may adversely influence batteries in sharing ESS depending on the grounding system of customers. Therefore, this paper presents mechanisms of the leakage-current occurrence by load-unbalance, insulation degradation of secondary lines and facilities, and stray-capacitance of IGBT in PCS of sharing ESS. And also, a modeling of the proposed mechanism is performed using PSCAD/EMTDC software to evaluate the characteristics of leakage-current in accordance with the causes of occurrence. As a result of the simulation with parameter analysis based on the above-mentioned modeling, it is found that the magnitude of leakage-current caused by switching operation of PCS is dependent on stray-capacitance of IGBT and is confirmed that inflow of leakage-current to batteries is occurred. Moreover, it is validated that the sharing ESS can be potentially influenced by the leakage-current inflow due to the unbalanced-load and insulation degradation at customer side, depending on the resistance ratio of cases of battery and PCS in sharing ESS.

MODELING OF MAXIMALLY PARALLEL STRUCTURES OF ALGORITHMS FOR SOLVING THERMAL PROBLEMS

The paper demonstrates the possibility of creating a maximum parallel form of computational algorithms to solve thermal problems and their mapping to the architecture of multiprocessor systems based on solving thermal problems of mathematical physics. It is shown that an effective tool for studying heat and mass transfer problems in metallurgical production could be parallel computing technologies on distributed cluster systems with a relatively low cost and reasonably easily scalable both in the number of processors and in the amount of RAM. Tridiagonal structure systems' parallelization was implemented by a numerical-analytical approach, which predetermined their maximally parallel algorithmic form. That approach is facilitated by the minimum possible implementation time of the developed algorithm on parallel computing systems. Furthermore, during the arithmetic expressions parallel computations, the developed algorithm separates the error in the output data from rounding operations. Thus, the parallelization of tridiagonal systems based on numerical-analytical discretization methods does not impose any restrictions on the topology of the mesh nodes of the computational domain.Furthermore, as applied to the parallel computation of arithmetic expressions, it separates the initial data error from a real PC's rounding operations. That approach eliminates the recurrent structure of computing the sought-for decision vectors, which, as a rule, leads to the round-off errors accumulation. Such a parallel form of the constructed algorithm is maximal and has the shortest possible implementation time of the algorithm on parallel computing systems. The developed approach to parallelizing the mathematical model is stable for various types of input data. It has the most parallel form and is distinguished by the minimum time for solving the problem as applied to multiprocessor computing systems. That is explained as follows. If it is hypothesized that one processor can be assigned to one processor and one processor can be assigned to one node of the computational mesh domain, the computations can be processed in parallel and simultaneously for all nodes of the computational mesh domain. The simulation process was implemented on a PC cluster. It follows from the simulation results analysis that the developed method for solving the heat conduction problem effectively minimizes residuals.

Mental Condition Monitoring Based on Multimodality Biometry.

We have developed a system with multimodality that monitors objective biomarkers for screening the mental distress in the office. A field study using a prototype of the system was performed over four months with 39 volunteers. We obtained PC operation patterns using a PC logger, sleeping time and activity levels using a wrist-band-type activity tracker, and brain activity and behavior data during a working memory task using optical topography. We also administered two standard questionnaires: the Brief Job Stress Questionnaire (BJS) and the Kessler 6 scale (K6). Supervised machine learning and cross validation were performed. The objective variables were mental scores obtained from the questionnaires and the explanatory variables were the biomarkers obtained from the modalities. Multiple linear regression models for mental scores were comprehensively searched and the optimum models were selected from 2,619,785 candidates. Each mental score estimated with each optimum model was well correlated with each mental score obtained with the questionnaire (correlation coefficient = 0.6–0.8) within a 24% of estimation error. Mental scores obtained by means of questionnaires have been in general use in mental health care for a while, so our multimodality system is potentially useful for mental healthcare due to the quantitative agreement on the mental scores estimated with biomarkers and the mental scores obtained with questionnaires.

A study on the decryption methods of telegram X and BBM-Enterprise databases in mobile and PC

Instant messenger (IM) apps, which store a variety of behavioral information about users, such as secret chats, group chats, and file sharing, are important tools for digital forensics investigation. Messenger apps on mobile devices store user-friendly data, but data collection can be difficult due to various constraints. PC messenger data, on the other hand, can be collected relatively easily, but tend to be less informative than data from mobile messengers. Most messengers are cross-platform, supporting both mobile devices and PCs, and providing synchronization services, a situation which can overcome the constraints of data extraction for evidence acquisition. This allows for complementary interaction when extracting data generated by the use of IMs. However, some IMs encrypt their data for protection against external threats. The use of encryption can effectively protect the user's data, but poses a significant challenge to digital forensics, in which data should be decrypted to be used as evidence. Such IMs normally use a combination of key derivation functions and cryptographic algorithms to encrypt data. It is therefore necessary to identify the relationships between the functions used for encryption, in order to decrypt IM data, so that it can be used as evidence, and to determine the secret values used for generating keys. In this paper, we propose methods for acquiring user data, including conversation history protected by encryption by analyzing the Telegram X and BBM-Enterprise apps that perform in various mobile and PC operating environments. Both applications encrypt their databases using an SQLite extension module called SQLCipher. In order to decrypt these databases, we identified the parameters of SQLCipher, and derived a Passphrase, the main secret. In addition, We validated our approach by conducting an experiment to decrypt the encrypted databases of Telegram X and BBM-Enterprise.

Object Detection and Tracking using YOLO v3 Framework for Increased Resolution Video

The proposed system is used for vehicle detection and tracking from the high-resolution video. It detects the object (vehicles) and recognizes the object comparing its features with the features of the objects stored in the database. If the features match, then object is tracked. There are two steps of implementation, online and offline process. In offline process the data in the form of images are given to feature extractor and then after to the trained YOLO v3 model and weight files is generated form the pre-trained YOLO v3 model. In online phase, real-time video is applied to feature extractor to extract the features and then applied to the pre-trained YOLO v3 model. The other reference to YOLO v3 model pre-trained is the output of weight file. The YOLO v3 model process on the video frame and weight file extracted features, the model output is classified image. In YOLO v3 Darknet-53 is used along with Keras, some libraries with OpenCV, Tensor Flow, and Numpy. The proposed system is implemented on PC Intel Pentium G500, 8GB and operating system Windows 7 is used for processing our system. The system is tested on PASCAL VOC dataset and the results obtained are accuracy 80%, precision 80%, recall 100%, F1-Score 88%, mAP 76.7%, and 0.018%. The system is implemented using python 3.6.0 software and also tested using real-time video having 1280x720 and 1920x1080 resolutions. The execution time for one frame of video having resolution of 1280x720 (HD) and 1920x1080 (FHD) and 1280x720 (HD) are 1.840 second and 4.414808 seconds respectively with accuracy is 80%.

Weibull accelerated failure time regression model for remaining useful life prediction of bearing working under multiple operating conditions

Abstract The rolling element bearings in industry applications operate at different operating conditions. The approaches for remaining useful life (RUL) prediction developed so far are limited to bearings operating under a single operating condition. Thus, separate models need to be developed for each operating condition, which is a tedious and time-consuming task. In this paper, a Weibull Accelerated Failure Time Regression (WAFTR) model is presented that considers both operating condition parameters and condition monitoring signal during model parameter estimation. Using the vibration signal, statistical time domain features such as root mean square, kurtosis, peak and crest factor and frequency domain features such as variation of % signal energy in the different spectrum bands (obtained after applying the bank of band pass filters) are extracted. Frequency domain features are used for further study since better trendability are found with these features compared to the statistical time domain features. For each bearing dataset, sixteen features are available from sixteen different frequency bands. However, all do not have better trendability and therefore principal component analysis (PCA) is used for dimensionality reduction. The best PC value and operating conditions such as speed and load are used in the WAFTR model for RUL prediction. The algorithm performance has been checked with metrics such as bias, mean square error, updated score value, % unacceptable early predictions, % unacceptable late predictions and % unacceptable predictions. The accuracy of the RUL prediction is found superior with the model that includes the effect of operating conditions and does not show significant bias as noticed in the RUL prediction when the operating conditions were not considered in the formulation of the model.

Development of E-mail Delivery Mediation System Based on Interruptibility and Its Evaluation in Daily Office Work Scenario

Notifications of e-mail arrivals at inappropriate times disrupt workers engaged in intellectual activities and reduce their productivity. We propose an e-mail delivery mediation system to deal with this issue. The system suspends e-mail delivery and estimates users' interruptibility from their PC operation activities. Then, it delivers e-mail only when the estimated interruptibility matches certain delivery criteria, especially when a user switches applications. A long-term evaluation in a real office revealed that e-mail mediation based on the system's estimates of user interruptibility can shift a certain percentage of the notifications to task or subtask breakpoints or to times at which the user is less engaged in a task.

The Use of Screencasts with Embedded Whole-Slide Scans and Hyperlinks to Teach Anatomic Pathology in a Supervised Digital Environment

Background: There is an increasing interest in using digitized whole-slide imaging (WSI) for routine surgical pathology diagnoses. Screencasts are digital recordings of computer screen output with advanced interactive features that allow for the preparation of videos. Screencasts that include hyperlinks to WSIs could help teach pathology residents how to become familiar with technologies that they are likely to use in their future career. Materials and Methods: Twenty screencasts were prepared with Camtasia 2.0 software (TechSmith, Okemos, MI, USA). They included clinical history, videos of chest X-rays and/or chest computed tomography images, links to WSI digitized with an Aperio Turbo AT scanner (Leica Biosystems, Buffalo Grove, IL, USA), pre- and posttests, and faculty-narrated videos of the WSI in a manner closely resembling a slide seminar and other educational materials. Screencasts were saved in a hospital network, Screencast.com, YouTube.com, and Vimeo. com. The screencasts were viewed by 12 pathology residents and fellows who made diagnoses, answered the quizzes, and took a survey with questions designed to evaluate their perception of the quality of this technology. Quiz results were automatically e-mailed to faculty. Pre- and posttest results were compared using a paired f-test. Results: Screencasts can be viewed with Windows PC and Mac operating systems and mobile devices; only videos saved in our network and screencast.com could be used to generate quizzes. Participants’ feedback was very favorable with average scores ranging from 4.5 to 4.8 (on a scale of 5). Mean posttest scores (87.0% [±21.6%]) were significantly improved over those in the pretest quizzes (48.5% [±31.2%]) (P < 0.0001). Conclusion: Screencasts with WSI that allow residents and fellows to diagnose cases using digital microscopy may prove to be a useful technology to enhance the pathology education. Future studies with larger numbers of screencasts and participants are needed to optimize various teaching strategies.

14-5 デスクワークにおける主観的集中度とPC操作ログの関係分析(第14部門 ヒューマンインフォメーション2)

14-5 デスクワークにおける主観的集中度とPC操作ログの関係分析(第14部門 ヒューマンインフォメーション2)

PENILAIAN RISIKO KECELAKAAN KERJA PADA PENGOPERASIAN CC (CONTAINER CRANE) DI PT X SURABAYA

The operation of CC has a high risk accident, in 2013 there are 57 CC operation accidents at PT X. Accident high PC operations require companies to prevent and reduce the risk of accidents at the company, according Act No. 1 Year 1970 Article 3, paragraph 1. Reduce and prevent the risk of workplace accidents by conducting a risk assessment. This study aims to assess the risk.The design of this study was observational with crossectional approach. The main aim of this study was to assessed of risk on CC operate in PT X Surabaya. The subject in this study were safety officer maintenance, technician and CC operator. The object in this study was CC unit. The data were collected by means of observation and interview, while the secondary data from the operation of the CC documents related accidents. The data obtained were analyzed descriptively by tabulations and narration which of compared with the standard ISO 31000: 2009 as well as the existing theories. The results of this study show that there were 4 process of work that has 9 cause danger of accident, 2 causes of accident with the high risk, 5 moderate risk and 2 low risk. Risk control that has done are engineering, administrative, and PPE. From the result of this study, it is recommended that the company provide to implement the work according to SOP, conduct load test and check the condition of the lift on the entire CC, check and repair functions anemometer and sirens on CC, give emergency drill evenly for workers.Keywords: accident risk assessment, Container Crane (CC)

A Method of Providing PC Operations for Stimulating Recalls of Past Operating Process and Results

A Method of Providing PC Operations for Stimulating Recalls of Past Operating Process and Results

As Antitrust Case Ends, Microsoft is Victorious in Defeat

As the final judgment in the celebrated Microsoft case ends, this piece very briefly assesses the impact of its remedy. When evaluated in terms of its most important goals, the remedy has proven to be a failure. Microsoft's monopoly power in the PC operating systems market is now as great as it was when the case was brought in 1998 or the remedy was ordered in 2002. The article also very briefly discusses the implications of this remedy for Google and AT&T.

Smart PCS Based System for Oxygen Content Measurement

This paper presents the performance analysis of smart PCS based system for an accurate oxygen content measurement in the aqueous electrolyte solution. The system intends to measure the photo catalytic activity of the PCS which is sensitive to O2 by integrating the software and hardware design technique for more accurate results. The threshold voltage of the PCS changes due to photo catalysis process causing fluctuations in the PCS readout which is sensed by the microcontroller via an inbuilt 10 bit A/D converter. The digitized signal is processed and converted into corresponding value of O2 content. The proposed digital system is fast as compared to conventional flow injection analysis which is tiresome and time consuming job. The approach for this system relies on the fast operation of PCS which operates under sub threshold conditions and reduced computation time. The system is more user friendly and the outcomes of simulation are fairly in agreement with the theoretical estimations. The system is highly favourable for water quality monitoring applications due to reduced response time.

User Interface Construction for Recognition of Gesture and Voice

In this paper, we propose an efficient computing environment which implements the NUI (Natural User Interface) for computer operation by motion and voice and a foundation which can provide for contents of new form. The pc operation system and other computer become possible if the key necked technology is applied. If the KINECT technology is applied different pc operation is possible. Also, we show through the simulation that CUI (Computer User Interface) interacts naturally than the computer operation of the mouse and keyboard base.

Interruptibility Estimation Based on Head Motion and PC Operation

Frequent and uncontrolled interruptions by information systems that do not reflect the user’s state can result in fragmented working times and decreased intellectual productivity. To avoid adverse interruptions, interruptibility estimation methods based on PC operation information have been proposed. However, workers who use PCs to accomplish their primary tasks occasionally engage in paperwork. Occasional paperwork activities, which are not reflected in the PC’s operation information, can cause estimation errors. This study focuses on using the position of the head, posture, temporal motion, and continuity of the head position and posture while a worker is at his or her desk as indices to reflect engagement in the task at hand. Based on an analysis of the relationship between the head-related parameters and interruptibility, an interruptibility estimation algorithm is proposed using four head-related indices that reflect interruptibility during PC and non-PC work. Experiments indicate that estimation accuracy improves as a result of incorporating these indices in the algorithm.

1F3-4 片麻痺患者のためのPC操作支援インタフェースの開発

1F3-4 片麻痺患者のためのPC操作支援インタフェースの開発