Miracle-dz/UniFAR-FTUs huggingface dataset:
Decrease of Parasitic Capacitance for Improvement of RF Performance of Multi-finger MOSFETs in 90-nm CMOS Technology

In this paper, the RF characteristics of multi-finger MOSFETs were improved by decreasing the parasitic capacitance in spite of increased gate resistance in a 90-nm CMOS technology. Two types of device structures were designed to compare the parasitic capacitance in the gate-to-source (C gs ) and gate-to-drain (C gd ) configurations. The radio frequency (RF) performance of multi-finger MOSFETs, such as cut-off frequency (f T ) and maximum-oscillation frequency (f max ) improved by approximately 10% by reducing the parasitic capacitance about 8.2% while maintaining the DC performance.
On-line EM and Quasi-Bayes or: How I Learned to Stop Worrying and Love Stochastic Approximation

The E M algorithm is one of the most popular statistical learning algorithms. Unfortunately, it is a batch learning method. For large data sets and real-time systems, we need to develop on-line methods. In this thesis, we present a comprehensive study of on-line E M algorithms. We use Bayesian theory to propose a new on-line E M algorithm for multinomial mixtures. Based on this theory, we show that there is a direct connection between the setting of Bayes priors and the so-called learning rates of stochastic approximation algorithms, such as on-line E M and quasi-Bayes . Finally, we present extensive simulations, comparisons and parameter sensitivity studies on both synthetic data and documents with text, images and music.
Estudo exploratório sobre a utilização de Web 2.0 por Docentes do Ensino Superior

Neste trabalho sintetizam-se os principais passos dados na preparação e condução de um estudo exploratório sobre a utilização de ferramentas conotadas com a “Web 2.0” por parte de Docentes do Ensino Superior, quer em Portugal, quer em outros Países. O estudo baseou-se num Questionário constituído por sete perguntas de respostas aberta, o qual foi disponibilizado na Internet através do serviço SurveyMonkey, e foi também enviado por e-mail para um conjunto seleccionado de destinatários (Docentes). Neste estudo exploratório descreve-se a construção do Questionário, o procedimento usado na recolha de dados, e apresentam-se os resultados preliminares obtidos. Para a apresentação dos resultados, utiliza-se uma abordagem descritiva, através da qual se procura sintetizar e enfatizar a informação mais relevante recolhida. Deste trabalho, surgem diversos vectores orientadores da Investigação futura.
A Deployment Method Based on Spring Force in Wireless Robot Sensor Networks

Robotic sensor deployment is fundamental for the effectiveness of wireless robot sensor networks-a good deployment algorithm leads to good coverage and connectivity with low energy consumption for the whole network. Virtual force-based algorithms (VFAs) is one of the most popular approaches to this problem. In VFA, sensors are treated as points subject to repulsive and attractive forces exerted among them-sensors can move according to imaginary force generated in algorithms. In this paper, a virtual spring force-based algorithm with proper damping is proposed for the deployment of sensor nodes in a wireless sensor network (WSN). A new metric called Pair Correlation Diversion (PCD) is introduced to evaluate the uniformity of the sensor distribution. Numerical simulations showed that damping can affect the network coverage, energy consumption, convergence time and general topology in the deployment. Moreover, it was found that damping effect (imaginary friction force) has significant influence on algorithm outcomes. In addition, when working under approximate critical-damping condition, the proposed approach has the advantage of a higher coverage rate, better configurational uniformity and less energy consumption.
What is bibliometrics and why should you care?

Viewed in the aggregate, a company's publications represent one of its greatest business assets. Can professionals in the information and communication fields help their company understand the return on its investment in publishing? The field of bibliometrics studies publication patterns by using quantitative analysis and statistics. Bibliometrics can be either descriptive, such as looking at how many articles your organization has published, or evaluative, such as using citation analysis to look at how those articles influenced subsequent research by others. Counting publications can be useful for doing some comparisons, but citation analysis allows you to look at the impact those articles have had on others by determining how often they are cited. Citation analysis can also show what journals, organizations, and even countries have high impact in different fields of research. The Institute for Scientific Information (ISI) has been a leader in the citation analysis field since 1961, when ISI published the first Science Citation Index. Pacific Northwest National Laboratory (PNNL) has been using data from ISI for both descriptive and evaluative purposes. This data is used to track what the researchers at the Laboratory are writing and then comparing research groups within the organization over a period of years to identify trends and opportunities. PNNL has also used citation analysis to explore what organizations and academic institutions are doing research in certain fields for partnering opportunities. We focus on the use of publication counts, citation analysis, and impact factor to show how PNNL has been using bibliometrics.
Research of Improving RAID Read Performance

In this paper, the file system principles and RAID algorithm were studied in Linux, current MD driver and RAID performance were anglicized in detail, achieved a RAID algorithm in the field of multimedia applications, this algorithm enhanced the RAID server to read performance effectively, broke i386 operating system's 4K paging limit, used the new pile of management memory, and through the experimental data show that the new algorithm brought about excellent performance. For detail experiment, 64k-block have been proven to the ideal block using in multimedia applications.
Possibilities for the digital baton as a general-purpose gestural interface

This paper describes issues and results from the design and use of the Digital Baton, a new interface for real-time gestural control. Its construction was originally motivated by the need for a new instrument on which to perform computer music, and it was designed to replicate as closely as possible the feel of a traditional conducting baton. However, it has unexpectedly become a model for the design of new interfaces and digital objects, and is currently being used to record data for analysis in gesture-recognition research. Some preliminary results and future research areas are discussed at the end.
Scaling a Shared Object Space to the Internet: Case Study of Virat

Scalability is an important issue in the construction of distributed systems. Sharedobject spaces provide an elegant and easy-to program abstraction for building applica-tions. However, existing shared object spaces have been realized at the cluster level.Use of centralized components, lack of eﬀective failure handling mechanisms, lack ofeﬃcient object lookup mechanisms as well as consistency maintenance are the key is-sues that inhibit scalability of existing shared object spaces. We present the case studyof scaling an existing shared object space (Virat) to the Internet. Bottlenecks in Viratinclude the granularity of consistency maintenance and Object Meta-data Repository(OMR) failures. Both the design and implementation of Virat has been modiﬁed inorder to increase the granularity at which consistency is maintained. Virat has alsobeen redesigned such that the OMRs form a Peer-to-Peer (P2P) overlay in order tohandle OMR failures and improve scalability. Experimental evaluations are presentedto show that the optimized version of Virat scales better, especially over a wide-areanetwork. In addition, this paper also explains how to develop applications over theshared object space, with code sketches.
Intelligent systems: a semiotic perspective

Intelligent systems have been in the focus of attention of scientific community for a long time. Nevertheless, the concept of intelligent system is not fully understood, and it affects interpretation of the existing research results as well as the choice of new research directions. In this paper, the subject is considered both from the semiotic and control theory point of view. The phenomenon of intelligence is demonstrated as a result of joint functioning of three operators: grouping, focusing attention, and combinatorial search (GFACS). When information is processed by GFACS, the multiresolutional systems of knowledge develop, and nested loops of control emerge.
Squinting at power series

Data streams are an ideal vehicle for handling power series. Stream implementations can be read off directly from simple recursive equations that define operations such as multiplication, substitution, exponentiation and reversion of series. The bookkeeping that bedevils these algorithms when they are expressed in traditional languages is completely hidden when they are expressed in stream terms. Communicating processes are the key to the simplicity of the algorithms. Working versions are presented in newsqueak, the language of Pike's ‘squint’ system; their effectiveness depends critically on the stream protocol.
New PSPICE model for power MOSFET devices

The common PSPICE model for the power MOSFET device is well known to CAD designers. This paper addresses the problem of how to correctly simulate a nonlinear device by modeling the nonlinear components of its PSPICE model: drain-to-source resistance vs. temperature, drain-to-source and gate-to-source capacitance vs. voltage. By comparing the simulation results of the common PSPICE MOSFET model with the manufacturer's specifications, the drawbacks of the model are revealed. The paper explains the basic theory behind modeling linear and nonlinear capacitors and resistors and describes how to model nonlinear capacitors and resistors using the analog behavioral modeling (ABM) feature of PSPICE. Examples are provided that show the circuit diagrams for various nonlinear capacitors and resistors and PSPICE plots of the transient analysis results. Based on these principles, a new MOSFET model is generated and used in some examples.
Cybersecurity threats in cloud computing

Recently we have witnessed the emergence of cloud computing as a new computing model that offers resources (e.g., compute, storage, network, etc.) as general utilities to be leased and released on-demand by users through the Internet. Given its innovative nature and reliance on the Internet, the cloud inherently comes with a number of vulnerabilities that increase the space for cyber attacks. This paper aims to provide an overview of major potential risks to privacy and security in the cloud. Various emerging threats and attack methods are discussed, and some speculative future research directions are presented.
SINGLE ELECTRON TRANSISTOR TECHNOLOGY BASED ON-CHIP IMPLEMENTATION OF SMOKE DETECTION ALARM FOR RESIDENTIAL SECURITY APPLICATION

The next generation electronic industry shows infinite scope of excellence starting from the cutting edge tools of massive industrial applications, war front technological support, health appliances, space applications and consequently offers unlimited cost effective consumer electronics for daily life uses. The quest for incorporating higher number of applications in one easy accessible, portable and smarter platform has paved the path of nanotechnology in contemporary consumer electronics in every sphere of life. Now societies are quite concern about security measures adopted so far in residential buildings, offices, school-colleges, owing to the fact that with modern technological support no life should be vulnerable to fire like hazards. But statically these precautionary systems are much expensive. In such circumstances the authors here tender to design a novel low power consuming, economical nano device smoke detector alarm to be incorporated in residential security systems.
DCMSIM: didactic cache memory simulator

We present a functional and structural didactic simulator of cache memory systems developed at the Pontifical Catholic University of Minas Gerais, Brazil. The development occurred during the undergraduate Computer Architecture discipline, in the Computer Science course. Its implementation is one part of a new didactic method, in which developers (students of the Computer Architecture discipline) must learn the concepts and theory of the discipline topics to correctly apply them in the simulator. In our simulator, DCMSim, there are features to allow students to construct and verify knowledge, testing and comparing several different configurations and memory access traces.
Recommendation algorithm combining the user-based classified regression and the item-based filtering

With the expansion of the Internet services, providing personalized product recommendations has become one of the most important ways to attract customers. Especially, collaborative recommender systems have achieved widespread success on the web. Information of products is recommended to the users based on their nearest "neighbors" who have similar interests. It is widely known that there is a sparsity problem in such systems. However, according to our research, there are other problems: one is that the typical collaborative algorithm loses some important parameter when it predicts the ratings, because there might be a strong similarity between the users who give very different ratings. Another is that the classification information of resources is not used. To solve these problems, we have proposed a recommendation algorithm combining the user-based classified regression and the item-based filtering. The experiment results show that performance is improved after applying the new algorithm.
A Personalization-Oriented Academic Literature Recommendation Method

As the number of digital academic items increases dramatically, it is more and more difficult for a student or researcher to find the expected references in a large academic literature database. Although collaborative filtering and content-based recommendation approaches perform well in some applications, they do not produce satisfactory recommendations for academic items because they fail to reflect researchers’ unique characteristics in terms of authority, popularity, recentness, etc. In this paper, we propose two novel data structures, ALVector, which expresses various objective attributes of an article, and AUVector, which expresses users’ subjective weights for different attributes. Then, we propose a novel personalization-oriented recommendation method that utilizes both the content and non-content attributes in ALVector and AUVector for making recommendations. In order to make the overall best recommendation, the VIKOR algorithm is used with a personalization-oriented method to achieve a compromise solution. A real-world literature data set is used in the experiments. The experimental results show that our method better meets the user’s preference in multiple dimensions simultaneously.
Informativeness as an ordinal utility function for information retrieval

Information retrieval has all the elements of a classical decision problem: a set of possible actions, a set of potential states, and a reward or utility attached to each combination of action and state. How the actions, states, and utilities are described, however, is variable, and depends very much on the describer's point of view.
X.509 Proxy Certificates for Dynamic Delegation

Proxy credentials are commonly used in security systems when one entity wishes to grant to another entity some set of its privileges. We have defined and standardized X.509 Proxy Certificates for the purpose of providing restricted proxying and delegation within a PKI-based authentication system. We present here our motivations for this work coming from our efforts in Grid security, the Proxy Certificate itself, and our experiences in implementation and deployment.
Implementing Decision Tree Fuzzy Rules in Clinical Decision Support System after Comparing with Fuzzy Based and Neural Network Based Systems

As people have interests in their health recently, development of medical domain application has been one of the most active research areas. One example of medical domain application is detection system for heart disease based on computer-aided diagnosis methods, were the data are obtained from some other sources and are evaluated based on computer based applications. At the earlier time, the use of computer is to build knowledge based clinical decision support system which uses knowledge from medical experts and transfers this knowledge into computer algorithms manually. This process is time consuming and really depends on medical expert's opinion which may be subjective. To handle this problem, machine learning techniques have been developed to gain knowledge automatically from examples or raw data. Here, a weighted fuzzy rule-based clinical decision support system (CDSS) is presented for the diagnosis of heart disease, automatically obtaining the knowledge from the patient's clinical data. The proposed clinical decision support system for risk prediction of heart patients consists of two phases, (1) automated approach for generation of weighted fuzzy rules, and (2) developing a fuzzy rule-based decision support system. In the first phase, we have used the mining technique, attribute selection and attribute weightage method to obtain the weighted fuzzy rules. Then, the fuzzy system is constructed in accordance with the weighted fuzzy rules and chosen attributes. Finally, the experimentation is carried out on the proposed system using the datasets obtained from the UCI repository and the performance of the system is compared with the neural network-based system utilizing accuracy, sensitivity and specificity.
How helpful are automated debugging tools

The field of automated debugging, which is concerned with the automation of identifying and correcting a failure's root cause, has made tremendous advancements in the past. However, some of the reported progress may be due to unrealistic assumptions that underlie the evaluation of automated debugging tools. These unrealistic assumptions concern the work process of developers and their ability to detect faulty code without explanatory context, as well as the size and arrangement of fixes. Instead of trying to locate the fault, we propose to help the developer understand it, thus enabling her to decide which fix she deems most appropriate. This would entail the need to employ a completely different evaluation scheme that bases on feedback from actual users of the tools in realistic usage scenarios. With this paper we propose the details for a first such user study.
A Usage Oriented Analysis of Vehicular Networks: from Technologies to Applications

The research world is paying a lot of attention on vehicular networks nowadays. Novel vehicular services need a suitable communication channel in order to extend in-car capabilities and, generally, be aware about surrounding events. Such networks, however, present some special features, such as high mobility or specific topologies. These properties affect the performance of applications, and more effort should be directed to identify the necessities of the network. Few works deal with application requirements which should be considered when the vehicular network is designed. In this paper, we fill the gap, and propose an analysis of application requirements considering available technologies for the lower and network layer. This study contains key factors which must be taken into account not only at the designing stage of the vehicular services, but also when applications are evaluated.
Iterative design of augmented reality device in Yuanmingyuan for public use

Yuanmingyuan, once called "Garden of all gardens," was built during the Qing dynasty in 1707. Unfortunately, it was destroyed and burnt down by foreign forces in the 1860s and what were left there are only ruins of huge stone columns. Considering its high value in art and significance in history, debates on whether it should be reconstructed as a tourist attraction or preserved as a symbol of Chinese recent history have been ongoing. To help provide an answer, we present the iterative design of a device, which is based on the Augmented Reality (AR) technology and can be used for the digital reconstruction of Yuanmingyuan. The proposed device can superimpose virtual palaces on the current site to link the past with the present for its users. In order to make the proposed system suitable for public use, the system had been redesigned during the last few years. Key technologies of mechanical tracking for registration and dual-channel eyepieces for stereo display are discussed. To address problems that might result from public trials, the iterative design is illustrated from a Function-oriented AR-ViewI to a User-oriented AR-ViewII and an AR-ViewIII. After the basic functions of the technology have been identified, we pay closer attention to making it more convenient and comfortable for use. The proposed AR-View was pilot-tested for commercial operation during the Chinese national day golden-week holiday. Feedback from more than 400 users shows that it has the potential to be used for wide applications in similar historical sites.
Android Travelmate Applications with OCR & Its Language Translation

Every day a Smartphone user may look for a new application dedicated for his need. Android makes it easier for consumers to get and use new content and applications on their Smart phones. This paper presents an extremely on-demand, fast and user friendly Android Application ATMA. ATMA stands for Android Travel Mate Application. This application is useful for native Tourists and Travellers who possess Android Smart phones. It enables Travellers and Tourists to easily capture the native country language Books pages, signboards, banners and hotel menus etc. The built-in OCR converts the text embedded in the captured image into Unicode text format. It also provides translation facility so that Tourists can translate the Native Language Unicode text into their own country language. This Application has an advanced search feature so that recognized as well as translated text can be used to copy, paste, share and search for travel related queries like museums, places, restaurants, books, culture, hotels, etc.There is no remote computing overhead because the application has built in OCR suite as well as Image Processing suite both installed in the Android device. It provides fast, robust and extremely high Quality performance because of having improved Auto focus behavior, continuous dynamic preview and improved noise tolerance feature.
Top 10 list [software development]

Software's complexity and accelerated development schedules make avoiding defects difficult. We have found, however, that researchers have established objective and quantitative data, relationships, and predictive models that help software developers avoid predictable pitfalls and improve their ability to predict and control efficient software projects. The article presents 10 techniques that can help reduce the flaws in your code.
Measurement of Bit Errors in Data Transmission Systems

This correspondence presents an improved technique for receive error detecting a pseudorandom digital sequence suitable for bit error performance testing of serial digital transmission systems. The method is applicable to separately located transmit and receive sites, is self-synchronizing, and can be economically constructed using logic elements and medium-scale integrated (MSI) devices from commercially available logic families.