Deep Learning Based Process Analytics Model for Predicting Type 2 Diabetes Mellitus

Process analytics is one of the popular research domains that advanced in the recent years. Process analytics encompasses identification, monitoring, and improvement of the processes through knowledge extraction from historical data. The evolution of Artificial Intelligence (AI)-enabled Electronic Health Records (EHRs) revolutionized the medical practice. Type 2 Diabetes Mellitus (T2DM) is a syndrome characterized by the lack of insulin secretion. If not diagnosed and managed at early stages, it may produce severe outcomes and at times, death too. Chronic Kidney Disease (CKD) and Coronary Heart Disease (CHD) are the most common, long-term and life-threatening diseases caused by T2DM. Therefore, it becomes inevitable to predict the risks of CKD and CHD in T2DM patients. The current research article presents automated Deep Learning (DL)-based Deep Neural Network (DNN) with Adagrad Optimization Algorithm i.e., DNN-AGOA model to predict CKD and CHD risks in T2DM patients. The paper proposes a risk prediction model for T2DM patients who may develop CKD or CHD. This model helps in alarming both T2DM patients and clinicians in advance. At first, the proposed DNN-AGOA model performs data preprocessing to improve the quality of data and make it compatible for further processing. Besides, a Deep Neural Network (DNN) is employed for feature extraction, after which sigmoid function is used for classification. Further, Adagrad optimizer is applied to improve the performance of DNN model. For experimental validation, benchmark medical datasets were used and the results were validated under several dimensions. The proposed model achieved a maximum precision of 93.99%, recall of 94.63%, specificity of 73.34%, accuracy of 92.58%, and F-score of 94.22%. The results attained through experimentation established that the proposed DNN-AGOA model has good prediction capability over other methods.     

改进的基于TMS320DM642的疲劳检测系统

针对疲劳检测算法中大数据量、高速传输、复杂运算的实际需要，设计了以SAA7115为视频采集A／D、DSPTMS320DM642为核心处理器、SAA7105为视频输出D／A，并以FPGA控制输出来实现增强显示功能的实时视频处理系统。该系统采用双摄像头控制采集数据，可以满足多路视频的实时采集、处理、显示需求，可以作为疲劳检测算法、视频处理和图像处理的硬件平台。     

10/100Mbps以太网物理层收发器DM9101的原理与应用

MD9101是Davicom公司开发研制的基于10／100Mbps以太网物理层的单片低功耗收发器，文中介绍了DM9101的特点，引脚功能和工作原理，并给出一种典型的应用设计电路。     

On the design of multiple key hashing files for concurrent orthogonal range retrieval between two disks

This paper concerns the following problem: given a set of multi-attribute records, a fixed number of buckets and a two-disk system, arrange the records into the buckets and then store the buckets between the disks in such a way that, over all possible orthogonal range queries (ORQs), the disk access concurrency is maximized. We shall adopt the multiple key hashing (MKH) method for arranging records into buckets and use the disk modulo (DM) allocation method for storing buckets onto disks. Since the DM allocation method has been shown to be superior to any other allocation methods for allocating an MKH file onto a two-disk system for answering ORQs, the real issue is knowing how to determine an optimal way for organizing the records into buckets based upon the MKH concept.

A performance formula that can be used to evaluate the average response time, over all possible ORQs, of an MKH file in a two-disk system using the DM allocation method is first presented. Based upon this formula, it is shown that our design problem is related to a notoriously difficult problem, namely the Prime Number Problem. Then a performance lower bound and an efficient algorithm for designing optimal MKH files in certain cases are presented. It is pointed out that in some cases the optimal MKH file for ORQs in a two-disk system using the DM allocation method is identical to the optimal MKH file for ORQs in a single-disk system and the optimal average response time in a two-disk system is slightly greater than one half of that in a single-disk system.     

GIS数据库中的数据挖掘

首先探讨了DM在GIS中应用的必要性和可能性,然后讨论了GIS数据库中的DM可以发现的知识类型、可以使用的方法,可以采用的DM系统原型,最后简单介绍了DM对GIS的贡献。     

Development of Interactive Electronic Technical Manual Based on SIO00D

IETM作为一种新型的装备技术数据裁体,对于促进武器装备技术资料数字化,装备维修保障信息化工作具有重要意义。文章介绍了S1000D规范和IETM的研制过程和制作方法,对IETM开发人员具有一定的参考意义。     

Windows CE 6.0的DM9000A流接口驱动开发

针对Windows CE系统下专用网络驱动接口开发难度大的情况,本文介绍一种基于Windows CE流接口驱动的工作机制及开发方法。相比于Windows CE对各种硬件设备所提供的专用接口,流接口驱动具有更大的灵活性,且能够实现应用层到底层硬件的控制。以含有ARM11内核的S3C6410结合以太网通信芯片DM9000A为例,逐步分析流接口驱动程序的开发流程,并利用PC机抓取以太网通信数据,验证了流接口驱动程序开发的正确性。     

Development of a Composite Knowledge Manipulation Tool: K-Expert

A goal of this study is to develop a Composite Knowledge Manipulation Tool (CKMT). Some of traditional medical activities are rely heavily on the oral transfer of knowledge, with the risk of losing important knowledge. Moreover, the activities differ according to the regions, traditions, experts’ experiences, etc. Therefore, it is necessary to develop an integrated and consistent knowledge manipulation tool. By using the tool, it will be possible to extract the tacit knowledge consistently, transform different types of knowledge into a composite knowledge base (KB), integrate disseminated and complex knowledge, and complement the lack of knowledge. For the reason above, I have developed the CKMT called as K-Expert and it has four advanced functionalities as follows. Firstly, it can extract/import logical rules from data mining (DM) with the minimum of effort. I expect that the function can complement the oral transfer of traditional knowledge. Secondly, it transforms the various types of logical rules into database (DB) tables after the syntax checking and/or transformation. In this situation, knowledge managers can refine, evaluate, and manage the huge-sized composite KB consistently with the support of the DB management systems (DBMS). Thirdly, it visualizes the transformed knowledge in the shape of decision tree (DT). With the function, the knowledge workers can evaluate the completeness of the KB and complement the lack of knowledge. Finally, it gives SQL-based backward chaining function to the knowledge users. It could reduce the inference time effectively since it is based on SQL query and searching not the sentence-by-sentence translation used in the traditional inference systems. The function will give the young researchers and their fellows in the field of knowledge management (KM) and expert systems (ES) more opportunities to follow up and validate their knowledge. Finally, I expect that the approach can present the advantages of mitigating knowledge loss and the burdens of knowledge transformation and complementation.     

基于组播的LFMCW雷达显示系统设计与实现

基于组播传输机制设计并实现了雷达系统网络结构,定义了各种显控协议报文的数据结构以及与之相关的组播地址。针对数据报文中的极坐标数据,提出了一种基于三维优化查找表算法的坐标转换方法。对转换过程中的漏点和重点等问题进行了有效解决,并分析了组播在实现多屏显示和在综合船桥系统中的扩展优势。最终系统通过QT绘制界面,在以XC6SLX100T和DAVINCI DM3730为基础的硬件平台上完成了实际测试,验证了系统的可行性。