面向电子制造业的集成MES应用技术的研究

随着电子制造业的快速发展,智能信息化技术在电子制造业中也得到了普遍的应用.电子制造业不仅要提高产品的质量,而且还要在生产过程中对客户需要的相关的数据进行收集,数据报告是客户对电子制造商产品制造情况进行考核的一个重要的条件.本文对电子制造业中电子产品制造服务的业务需求进行了分析,构建了多种技术相融合的面向电子产品制造业的集成MES应用模型,对MES系统的具体功能进行了分析,对面向电子制造业的集成MES的应用技术进行了分析和研究.     

Intensified Sentiment Analysis of Customer Product Reviews Using Acoustic and Textual Features

Sentiment analysis incorporates natural language processing and artificial intelligence and has evolved as an important research area. Sentiment analysis on product reviews has been used in widespread applications to improve customer retention and business processes. In this paper, we propose a method for performing an intensified sentiment analysis on customer product reviews. The method involves the extraction of two feature sets from each of the given customer product reviews, a set of acoustic features (representing emotions) and a set of lexical features (representing sentiments). These sets are then combined and used in a supervised classifier to predict the sentiments of customers. We use an audio speech dataset prepared from Amazon product reviews and downloaded from the YouTube portal for the purposes of our experimental evaluations.     

Case study of a printed-wire-board concerning (Re-)Design for environment

Nowadays, printed-wire-boards (PWB) appear in nearly every electronic appliance. The fast pace of technological innovation and the consequent shortening of the product lifetime lead to a rapidly growing waste stream of electronic products. Therefore, solutions regarding the end-of-life are urgently required. Our goal is to extend the lifetime of electronic products in order to decrease the environmental impact. Therefore, this case study focused on designing PWBs for maximum component reusability and for a better separation of hazardous components. The project became possible by building a flexible semiautomatic disassembling cell "/spl Sigma/! 1592-Disassembly Factory" within the strategic CARE initiative for extracting valuable components from PWBs. Finally, design guidelines are going to be presented that address the layout of PWBs, important properties of components and integrated circuits (ICs), connection technologies, and others. The intention of this paper is to close the loop among the actors of the product lifecycle and particularly between recycling companies and manufacturers. The checklist will help product designers to identify the most important aspects in terms of reusability and environmentally conscious design of PWBs.     

FEROM: Feature Extraction and Refinement for Opinion Mining

Opinion mining involves the analysis of customer opinions using product reviews and provides meaningful information including the polarity of the opinions. In opinion mining, feature extraction is important since the customers do not normally express their product opinions holistically but separately according to its individual features. However, previous research on feature‐based opinion mining has not had good results due to drawbacks, such as selecting a feature considering only syntactical grammar information or treating features with similar meanings as different. To solve these problems, this paper proposes an enhanced feature extraction and refinement method called FEROM that effectively extracts correct features from review data by exploiting both grammatical properties and semantic characteristics of feature words and refines the features by recognizing and merging similar ones. A series of experiments performed on actual online review data demonstrated that FEROM is highly effective at extracting and refining features for analyzing customer review data and eventually contributes to accurate and functional opinion mining.     

Optical Fiber Metrology

The development of metrology to support the optical fiber communications industry is an excellent case study of how stakeholders-fiber manufacturers, their customers, standards-developing organizations, and (in the U.S.) the Federal Government-worked together to develop product specification standards that facilitated the growth of an industry. This paper reviews some of that history, primarily from the perspective of the National Institute of Standards and Technology, which worked with the industry to provide independent research and neutral coordination of many industry studies and measurement comparisons.     

Model of Knowledge-Based Process Management System Using Big Data in the Wireless Communication Environment

For any small and medium-sized manufacturer, delivery deadline compliance and quality assurance are the most important factors for their survival. And, for the compliance to delivery deadline, the SCM system that integrates the manufacturing process covering from the material purchase to the product release and the demand process covering from the logistics to the sales process is required. To guarantee the manufacturing quality, a system that maintains the optimized rate-of-production by responding in advance to any fault occurrence in the process and/or the facility is required. The big data analysis technology that is required to provide the decision support system optimized for the analysis based manufacturing management for small and medium-sized manufacturers greatly in need for their survival and competition has been introduced. This study aims to develop a model of knowledge-based system for manufacturing facilities optimization specialized for small and medium-sized manufacturers by collecting and analyzing data generated in the supply chain networks and manufacturing facilities of small and medium-sized manufacturers. This study proposes the development of knowledge-based process management system for the survival and the competitiveness improvement for small and medium-sized manufacturers in very weak business conditions. Specifically, the proposal is on the development of system and its service model to support the decision on the manufacturing process management by providing high level knowledge through the data analysis on manufacturing facilities of small and medium-sized manufacturers.     

Trust in open versus closed social media: The relative influence of user- and marketer-generated content in social network services on customer trust

Recently, “closed” or “private” social network services (SNSs) have emerged and become popular; this popularity is primarily driven by privacy issues and information overload in open SNSs such as Twitter or Facebook. Scholars and practitioners are interested in the relationship between product reviews and customer trust in both closed and open SNSs, but we do not fully understand why, how, or what types of online product reviews in open or closed SNSs influence trust. This paper explores how customer trust in content is influenced by different types of content generators and SNSs. The results of our experiments show that user-generated content (UGC) has a stronger effect on customers’ cognitive trust than does marketer-generated content (MGC) and that the effect of product reviews in closed SNSs on customers’ cognitive and emotional trust is greater than the effect in open SNSs. Finally, we find that the interaction between content generator types and SNS types affects customers’ emotional trust. This paper contributes to the empirical research on SNSs and online product reviews and has practical implications.     

A Low‐Cost Method to Evaluate Absorber Reflectivity Using an Antenna with a Small Radiating Aperture and Frequency‐Domain Instrument

We propose a way to measure the absorber reflectivity at a low cost. Only one simple antenna with a small radiating aperture and a frequency‐domain instrument are utilized. The previously used equation for calculating the reflectivity of an absorber is inaccurate, and, therefore, a new equation is derived based on multiple reflection analysis and three test models. Notably, the reflection coefficient of the antenna is included in the derived equation. The accuracy of the proposed method is proven through simulation and measurements. It can be easily applied to a product examination by absorber manufacturers and customers owing to its advantages of simplicity, cost effectiveness, and non‐cutting examination.     

An optimal designed degradation experiment for reliability improvement

In conducting a design-of-experiments, with degradation data, to improve the reliability of highly reliable products, one of the most important topics for manufacturers is to identify important factors that affect the product reliability. Several decision variables such as inspection frequency, sample size, and termination time at each run, do influence the precision of identifying the important factors and the experimental cost. This paper proposes a systematic approach to the identification problem with respect to fractional factorial degradation experiments. First, an intuitively appealing identification rule is proposed. Next, the optimum test plan is derived using the criterion of minimizing the total experimental cost. The inspection frequency, sample size, and termination time at each run, that are needed by this identification rule are computed by solving a nonlinear integer programming model with a minimum probability of correct selection. A simulation study investigates the efficiency of this method.     

白色感光阻焊油墨沉金后回流焊测试其变色问题探讨

随着客户对PCB成品外观品质要求越来越严格,较多客户要求白色感光阻焊油墨沉金板按无铅条件过回焊炉测试,不允许出现板面白色阻焊油墨变色现象,目前了解较多PCB制造厂商反馈制作此类型产品时,受板面白色阻焊油墨变色问题困扰,无法制作此类订单,因此只能望单兴叹。文章结合我司实际异常现象问题作出的原因分析及解决方法的探索与大家分享,希望为同行带来参考价值,满足客户的品质要求。     

Integrating GPS receivers into consumer mobile electronics

Automotive electronics manufacturers are gearing up production lines to implement Global Positioning System (GPS) receivers in a new breed of location-information-based devices called telematics products. These GPS-enabled devices-car navigation systems and mayday systems-now debuting in the luxury vehicle market, will soon find placement in mid-sized vehicles and mini-vans as automotive manufacturers finalize plans to make telematics products more mainstream. GPS-enabled telematics products possess a combination of functions that make driving more pleasurable, safer and easier. These devices are a part of the larger plan to put mobile multimedia products in the cars of today and tomorrow. Although the technology behind the devices remains transparent to the driver, the benefits are realized dramatically. Car navigation systems, which use an electronic map database and provide vocal turn-by-turn routing instructions, ensure confidence when traveling through unfamiliar places. Mayday systems, using an on-board, on-demand communications device, provide the driver with the peace of mind common to owners of monitored home security systems. Car navigation systems and mayday systems each have their own hardware feature set on which different functionality can be built     

Numerical simulation of the drop impact response of a portable electronic product

The ability of portable electronic products like cellular phones and personal digital assistants to withstand accidental impacts and shock is a valuable attribute consumers expect and manufacturers desire. Usually, manufacturers conduct expensive experimental drop tests to determine the fragility of such products during the product design cycle. An alternative to conducting drop tests is to perform numerical simulation. This paper examines the feasibility of studying the drop impact response of an electronic pager using a finite element software, ABAQUS/Explicit. Experimental drop test results are then used to compare with that of numerical simulation. Parameters examined include surface strains on pager housing and impact force. Comparisons show good correlation between experimental and numerical results. Finite element computation allows critical impact orientations and drop heights to be identified so that selective experimental drop tests can be performed to determine the actual physical robustness of these products.     

中文文本倾向性分类技术比较研究

随着近几年互联网的发展，网络评论数量正日益增加。对这些网络评论进行挖掘和分析，识别出其中的情感倾向，可以给用户、企业、政府提供重要的决策支持。采用机器学习方法中的朴素贝叶斯和支持向量机分类模型，根据不同的停用词表、特征选择方法、特征加权方法的组合，对中文文本倾向性分类进行了研究。结论表明，采用保留情感信息相关词性的停用词表，以文档频率为特征选择方法，并应用基于绝对词频的支持向量机分类模型，能取得较好的分类效果。     

Recommendation agents and information sharing through social media for coronavirus outbreak

The novel outbreak of coronavirus disease (COVID-19) was an unexpected event for tourism in the world as well as tourism in the Netherlands. In this situation, the travelers’ decision-making for tourism destinations was heavily affected by this global event. Social media usage has played an essential role in travelers’ decision-making and increased the awareness of travel-related risks from the COVID-19 outbreak. Online consumer media for the outbreak of COVID-19 has been a crucial source of information for travelers. In the current situation, tourists are using electronic word of mouth (eWOM) more and more for travel planning. Opinions provided by peer travelers for the outbreak of COVID-19 tend to reduce the possibility of poor decisions. Nevertheless, the increasing number of reviews per experience makes reading all feedback hard to make an informed decision. Accordingly, recommendation agents developed by machine learning techniques can be effective in the analysis of such social big data for the identification of useful patterns from the data, knowledge discovery, and real-time service recommendations. The current research aims to adopt a framework for the recommendation agents through topic modeling to uncover the most important dimensions of COVID-19 reviews in the Netherland forums in TripAdvisor. This study demonstrates how social networking websites and online reviews can be effective in unexpected events for travelers’ decision making. We conclude with the implications of our study for future research and practice.     

Salvageability becoming law

Legislation is driving electronics companies to prepare for products for later recycling. The effort foreshadows a future in which most of the content of obsolete electronic products will be reclaimed. The author discusses the green port concept for being developed by a consortium of European electronic equipment manufacturers who are responding to proposed legislation. Through a green port installed in each product, a recycler can access information provided by the product's manufacturer: the material composition of its parts, the location of hazardous components and disassembly instructions. The author also discusses the concept of designing electronic equipment with recycling in mind     

PPF框架在半导体工业中的应用

随着半导体工业绿色封装的不断兴起,无铅化(Pb-free)也越来越成为业界的共识。为了彻底贯彻于2006年7月1日正式生效的欧盟RoHS指令,全球的电子OEM生产商,特别是那些目标客户是欧美和日本的生产商,必须具备完全的绿色产品生产能力。在国内集成电路生产领域,有的生产商尝试利用纯锡(Sn)来代替锡铅(SnPb)合金;还有一部分采用镍钯金(NiPdAu)以及希望利用锡铋合金(SnBi)或锡铜合金(SnCu)来替锡铅(SnPb)合金。文章主要介绍在封装过程中的绿色材料替换方法以及由此带来的挑战和风险。重点阐述了基于镍钯金(NiPdAu)PPF框架(Pre-plated leadframes)在半导体工业应用中的优势和特点。     

A Cost Sharing Warranty Policy for Products With Deterioration

Warranties play an important role for marketing products in the intensly competitive market, since an attractive policy can dramatically increase market share. However, offering an unlimited warranty with intent to monopolize the market is unrealistic because of the extremely high cost for maintaining such a policy. This paper considers a decision problem under the policy of a pro-rata warranty (PRW), and a Bayesian decision model in determining the optimal warranty proportion is proposed, where a periodic preventive maintenance (PM) program is performed during the warranty term to slow down the product deterioration, and a nonhomogeneous Poisson process is employed to describe the successive breakdown times of the deteriorating product. The proposed approach provides decision-making techniques, not only for taking action in the light of all available relevant information, but also for maximizing expected profits. Finally, an application case is utilized to demonstrate the feasibility and validity of the proposed approach, and sensitivity analyses regarding the important factors that may have impacts on the warranty proportion are also discussed.      

基于色彩和纹理特征融合的模糊人脸识别方法

基于纹理特征的方法被广泛应用于人脸识别。然而纹理特征依赖于图像的高频细节信息,当图像出现模糊时,单纯利用纹理特征的识别方法的识别精度会急剧下降。为了克服纹理特征的在模糊人脸识别中的不足,提出了一种基于色彩特征和纹理特征融合的识别方法。首先参照人类的对立色感知机制提取人脸的色彩特征;然后,将该色彩特征和纹理特征分别用于识别分类;最后,将二者的识别相似度进行融合,得到最终的识别结果。该色彩特征描述了图像的低频信息,其对图像模糊不敏感,并且与描述图像高频信息的纹理特征具有良好的互补性。在FERET 和AR 人脸库上的实验表明,融合色彩特征和纹理特征有效地提高了模糊人脸的识别精度。     

基于STQAMi5516的EPG实现

数字电视用户可以收看的节目和享受的业务比模拟电视扩大了一个数量级(可达到几百甚至上千),数字电视电子节目指南(EPG)--一个使用户能够方便快捷地找到自己关心的节目,查看节目的附加信息的导航机制已成为数字电视以及机顶盒开发的极其重要的组成部分.详细介绍了以STQAMi5516为主控芯片的数字电视电子节目指南(EPG)的实现过程,对数字电视以及机顶盒开发有很高的参考价值.此设计已在四川有线电视网络中心、贵州数字电视网络中心、重庆数字电视网络中心广泛应用.