Miracle-dz/UniFAR-FTUs huggingface dataset:
High fan-in circuit design

A review of high fan-in circuit design in contemporary logic technologies is presented. This is followed by a description of a BiNMOS circuit structure which allows the construction of large fan-in, dynamic logical NAND or OR functions. Power and reliability considerations such as BJT reverse V/sub be/ and MOS hot electron protection are included. Application of the circuit in the 3.3 V, 100 MHz, implementation of the Pentium Microprocessor on a 0.6 mm BiNMOS process is discussed.
Preventing DoS Attacks in IoT Using AES

The Internet of Things (IoT) is significant in today’s development of mobile networks enabling to obtain information from the environment, devices, and appliances. A number of applications have been implemented in various kinds of technologies. IoT has high exposure to security attacks and threats. There are several requirements in terms of security. Confidentiality is one of the major concerns in the wireless network. Integrity and availability are key issues along with the confidentiality. This research focuses on identifying the attacks that can occur in IoT. Packet filtering and patches method were used to secure the network and mitigate mentioned attacks but these techniques are not capable of achieving security in IoT. This paper uses Advanced Encryption Standard (AES) to address these mentioned security issues. Official AES version uses the standard for secret key encryption. However, several problems and attacks still occur with the implementation of this original AES. We modified AES by adding white box and the doubling of the AES encryption. We also replaced the Substitute-Byte (S-Box) in the conventional AES with the white box. The significance of a white box is where the whole AES cipher decomposed into round functions. While doubling the process of AES gives difficulty to the attacker or malware to interrupt the network or system. From the algorithms, our proposed solutions can control DoS attack on IoT and any other miniature devices.
Book Reviews : Text, ConText, and Hypertext: Writing with and for the Computer Edward Barrett, Ed. Publisher: MIT Press, 28 Carlton St., Cambridge, MA 02142 Year of Publication: 1988 Length: 368 pages Price: $35.00

Introduction - a new paradigm for writing with and for the computer, Edward Barrett. Part 1 Artificial intelligence, document processing and Hypertext: the future of "Writing" for the computer industry, Mark P. Haselkorn artificial intelligence and automated publishing systems, Geoffrey James exploring the connections between improved technology - workstation and desktop publishing and improved methodology - document databases, R. John Brockmann the ethics of automated publishing systems (a response to Dr Brockmann), Geoffrey James text processing with the START natural language system, Boris Katz using an object-oriented programming language to create audience-driven hypermedia environments, Geri Younggren Hypertext - a way of incorporating user feedback into online documentation, Patricia Ann Carlson Hypertext and the teaching of writing, John M. Slatin. Part 2 Management, training, and corporate culture: information development is part of product development - not an afterthought, Roger A. Grice corporate culture, technical documentation and organization diagnosis, Lawrence B. Levine usability - stereotypes and traps, Edmond H. Weiss investment in computer-product documentation - causes and effects, John Kirsch preparing for a successful large-scale courseware development project, Richard Ziegfeld, et al the on-line environment and in-house training, Edward Barrett and James Paradis technology + design + research = information design, Elizabeth Keyes, et al writers as total desktop publishers - developing a conceptual approach to training, Patricia Sullivan are writers obsolete in the computer industry? , Muriel Zimmerman. Part 3 Designing on-line information: designing online information, Philip Rubens and Robert Krull technical writers as computer scientists - the challenges of online documentation, Henrietta Nickels Shirk creating a style for online help, Jonathan Price how "Friendly" is your writing for readers around the world? , John Kirkman.
Application of Image Processing Technology Based on Portable Equipment in Power Line Inspection

A lot of pictures and video information have been produced during the data acquisition and inspection of the power line, and the effective use of these unstructured data is a problem that must be solved by the GIS platform and the big data platform. The traditional method is to use the universal server and GPU, but when the image data has reached TB level, only by increasing the number of clusters has been difficult to ensure the server to respond quickly to the application requirements, hardware acceleration solutions become necessary. A reusable image processing hardware acceleration framework for power line inspection, the framework uses the H.265 decoding module to realize high speed capture video frames, using PCI-E data communication to achieve a high throughput of network transmission, using FPGA to achieve the SIFT algorithm, and make the corresponding simplification. The test results show that the framework can significantly improve the speed of image processing, and can support the rapid panoramic image generation in the field work, and support the intelligent analysis of the image at the center of the data center.
Review on Exploring User's Surfing Behavior for Recommended Based System

Classification technique is important concept of web usage mining useful for researchers in web prediction where user's browsing behavior is predicted. The knowledge of navigated web pages history recorded from user browsing sequence at web log server which is used to predict future set of pages likely to be visited by user. Lots of research has been carried out on prediction of next page Request for various kinds of applications including wireless application, caching system, search engine, personalization and recommended system. The main objective of this paper is to focus on the survey and analysis of user's future page request prediction for recommended system. The detailed review is presented on various kind of prediction models used for 'Future page Request Prediction'. The study and contrast of prediction models will give a new way for researchers to go deeper to find a pearl from shell in the sea.
Phase-unwrapping of SAR interferogram with multi-frequency or multi-baseline

The use of multiple InSAR images of the same area for phase unwrapping is discussed. It is shown that by combining the information in the two InSAR images, the ambiguity interval of the phase angle can be considerably lengthened, which will facilitate unwrapping. Three methods for combining multiple InSAR images are proposed and their error characteristics discussed. <<ETX>>
A proposal for an integrated framewoek capable of aggregating IoT data with diverse data types.

The volume of information in the Internet is growing exponentially. The ability to find intelligible information among vast amounts of data is transforming the human vision of the universe and everything within it. The underlying question then becomes which methods or techniques can be applied to transform the raw data into something intelligible, active and personal? This question is explored in this document by investigating techniques that improve intelligence for systems in order to make them perceptive/active to the recent information shared by each individual. Consequently, the main objective of this thesis is to enhance the experience of the user (individual) by providing a broad perspective about an event, which could result in improved ideas and better decisions. Therefore, three different data sources (individual data, sensor data, web data) have been investigated. This thesis includes research into techniques that process, interpret and reduce these data. By aggregating these techniques into a platform it is possible to deliver personalised information to applications and services. The contribution of this thesis is twofold. First, it presents a novel process that has shifted its focus from IoT technology to the user (or smart citizen). Second, this research shows that huge volumes of data can be reduced if the underlying sensor signal has adequate spectral properties to be filtered and good results can be obtained when employing a filtered sensor signal in applications. By investigating these areas it is possible to contribute to this new interconnected society by offering socially aware applications and services.
Effects of binaural auralization via headphones on the perception of acoustic scenes

The auralization of an acoustic scene can be realized with the presentation of binaural signals via headphones. One of the biggest challenges is the individualization of the headphone equalization and the generation of the binaural signals. A promising way is the use of probe microphones for equalization and recording. Very good results in terms of externalization and correct reproduction of the acoustic scene can be reached. However, former investigation indicates consistently that perceived acoustic illusion is much more plausible if the recording and the playback conditions are similar or even the same. Within this contribution we present a fully individualized binaural auralization system via headphones. Binaural recordings of sound sources on different representative positions in two real rooms with distinct different room acoustics are made. These recordings are presented via headphones to test persons. A series of listening tests show the expected influence of an accurate individualization on the correct localization of the synthesized sound source. Furthermore, a strong influence of congruence between the room acoustics of listening and recording room on the perception of the scene was observed. We can show that there is a significant decrease of perceived externalization if the listening rooms and the recording rooms are different.
XG dynamic spectrum access field test results [Topics in Radio Communications]

The XG Radio system uses dynamic spectrum access technology to determine locally unused spectrum, and then operates on these channels without causing interference to existing non-cooperative users. In August 2006 the XG Radio system was field tested at Fort A.P. Hill, Virginia, in the laboratory, and at field locations in Northern Virginia. There were three major test criteria: to cause no harm (avoid interference), to work (form and maintain connected networks), and to add value (efficiently use spectrum). This article defines the test metrics for fulfillment of these criteria, and describes the test results.
Narrative guidance of interactivity

Making narrative interactive promises to add a new depth and richness to the act of storytelling. It will allow us to experience story at a new level, more profoundly affecting us than ever before. But to do this we need to understand how a viewer can participate in a drama in interesting and engaging ways without disrupting the plot--which is the essential structure that transforms a mere sequence of events into a story. This thesis describes an approach to interactive narrative that divides narrative into levels; the plot level which represents the high level goals, intentions, and events of the story, and the presentation level representing the geometry, motion and camera which produces the images seen by the viewer. Today's immersive interface technology provides a seamless and compelling link between the viewer and the presentation level. But the link between the plot level and the presentation level remains unexplored. This document describes techniques as well as a theory for seamless integration of transitions (the plot's influence on the camera) and the manipulation of staging (the plot's influence on the geometry and motion) into interactive, immersive narratives. By introducing these techniques while allowing the viewer to influence the presentation, a new method and vocabulary for storytelling has been created. This new partnership between the story and the viewer allows the presentation to be manipulated while the plot assures that story will find the viewer regardless of his/her actions. (Copies available excusively from MIT Libraries, Rm. 14-0551, Cambridge, MA 02139-4307. Ph. 617-253-5668, Fax 617-253-1690.)
Towards Interpretable Vision Systems

Artificial intelligent (AI) systems today are booming and they are used to solve new tasks or improve the performance on existing ones. However, most AI systems work in a black-box fashion, which prevents the users from accessing the inner modules. This leads to two major problems: (i) users have no idea when the underlying system will fail and thus it could fail abruptly without any warning or explanation, and (ii) users’ lack of proficiency about the system could fail pushing the AI progress to its state-of-the-art. In this work, we address these problems in the following directions. First, we develop a failure prediction system, acting as an input filter. It raises a flag when the system is likely to fail with the given input. Second, we develop a portfolio computer vision system. It is able to predict which of the candidate computer vision systems perform the best on the input. Both systems have the benefit of only looking at the inputs without running the underlying vision systems. Besides, they are applicable to any vision system. By equipped such systems on different applications, we confirm the improved performance. Finally, instead of identifying errors, we develop more interpretable AI systems, which reveal the inner modules directly. We take two tasks as examples, words semantic matching and Visual Question Answering (VQA). In VQA, we take binary questions on abstract scenes as the first stage, then we extend to all question types on real images. In both cases, we take attention as an important intermediate output. By explicitly forcing the systems to attend correct regions, we ensure the correctness in the systems. We build a neural network to directly learn the semantic matching, instead of using the relation similarity between words. Across all the above directions, we show that by diagnosing errors and making more interpretable systems, we are able to improve the performance in the current models. Towards Interpretable Vision Systems
Ontology-Driven Semantic Interoperability

Semantic interoperability between applications, systems, organizations, and communities appears today as a crucial feature that should allow their intelligent communications with a minimum or completely without human interventions. In this paper we introduce our common concept for a semantic interoperable middleware kernel that may satisfy the requirements of many different applications. Finally, a short overview of implementation for two different domains (GIS and B2B) has given.
Dynamic capacity management in the BISDN

Use of virtual paths (VPs) in the broadband ISDN (BISDN) presents network operators with the ability to make processing intensive resource management decisions for flows of traffic instead of individual connections. Altering the amount of capacity assigned to different VPs provides the ability to reconfigure the network dynamically to respond to changes in traffic demand. This paper studies the dynamic behaviour of some algorithms for assigning capacity to VPs for a range of time-varying offered traffic inputs.
Replacing Make with Haskell

Most complex software projects are compiled using a build tool (e.g. make), which runs commands in an order satisfying userdefined dependencies. Unfortunately, most build tools require all dependencies to be specified before the build starts. This restriction makes many dependency patterns difficult to express, especially those involving files generated at build time. We show how to eliminate this restriction, allowing additional dependencies to be specified while building. We have implemented our ideas in the Haskell library Shake, and have used Shake to write a complex build system which compiles millions of lines of code.
VALIDATION OF COMPUTER MODELS

We deal with validation of costly computer models y = y t ? (x) seen as deterministic black box models depending on both a control variable x and an unknown constant parameter t ? The validation activities refer to the study of the predictive capability of the numerical model y with a special attention on how to take in account all sources of uncertainty. We illustrate well-known issues on toy examples, then we focus on two industral cases motivating our study. 1. Description of a physical system with a computer model A physical systemr :x2 R n ! R with 2 R m : ‐x is a controllable variable, ‐ is the physical parameter, ‐ physical experimentsd z = fz i =r (x i ) + i g i , ‐ i is an error term. A computer modely t :x2 R n ! R with t2T R d ; d 6m: ‐t is a parameter ofy, ‐ computer experimentsd y = fy t j (x i )g i,j . The true valuet ? : ‐P : R m ! T the projection operator onT, ‐t ? :=P( ), ‐y t ? (x) is the best representation forr (x). Links betweeny t ? andr : i.y is perfect andt ? = (m =d) =)r (x) =y t ? (x), ii. an error (bias)e exists : t ? = (m =d) andr (x) =y (x) +e(x), iii. is not perfectly identified byy : t ? 6 (d < m) andr (x) =y t ? (x) +e(x).
Adding Behavioral Semantics to Models

Domain Specific Languages (DSLs) play a cornerstone role in Model-Driven Software Development for representing models and metamodels. DSLs are usually defined in terms of their abstract and concrete syntax only. This allows the rapid and inexpensive development of DSLs and their associated tools (e.g., editors), but does not allow the representation of their behavioral semantics, something especially important for model operations like simulation and verification. In this paper we explore the use of Maude as a formal notation for describing models and metamodels, including the specification of their dynamic behavior.
Morphological modifications in Lithuanian child-directed speech

Child-directed speech (CDS) is very important for the language development of a child. When talking to children adults modify their language by simplifying it and adapting it to the language acquisition stage of the child. Words and constructions that are used in CDS are aqcuired earlier by the child. This paper analyses the morphological modifications of Lithuanian CDS. The analysis proves that the most frequent morphological modifications of CDS include: 1) the higher frequency of verb tokens over noun tokens, 2) the low frequency of indefinite pronouns, demonstrative pronouns, and adjectives, and 3) the high frequency of diminutives and interjections. Prevalence of the denominative parts of speech has been influenced by the cognitive function; the abundance of verbs is conditioned by short utterances. The high frequency of diminutives is related to pragmatic function, intimacy, and emotions.
The Application of Real-Time Object Detection on Aerial HD Videos Based on Deep CNN

Efficient real-time object detection in aerial HD videos is an urgent need, with the increasing use of UAV(unmanned aerial vehicles) in various fields. But it is still challenging to detect objects accurately and timely due to its large pixel size and relatively small objects. We use the popular SSD to detect people, cars, boats and so on from real-time HD videos which behave better than traditional methods. Moreover, we improve the deep learning algorithm by tailoring its networks and enlarging its size. We apply this algorithm to the real time detection of UAV aerial HD video and experiments show that our method can realize the organic combination of detection efficiency and detection effect. Keywords—real-time object detection; SSD; HD videos; UAV
Application Binary Interface Compatibility Through a Customizable Language

ZL is a C++-compatible language in which high-level constructs, such as classes, are defined using macros over a C-like core language. This approach is similar in spirit to Scheme and makes many parts of the language easily customizable. For example, since the class construct can be defined using macros, a programmer can have complete control over the memory layout of objects. Using this capability, a programmer can mitigate certain problems in software evolution such as fragile ABIs (Application Binary Interfaces) due to software changes and incompatible ABIs due to compiler changes. ZL's parser and macro expander is similar to that of Scheme. Unlike Scheme, however, ZL must deal with C's richer syntax. Specifically, support for context-sensitive parsing and multiple syntactic categories (expressions, statements, types, etc.) leads to novel strategies for parsing and macro expansion. In this dissertation we describe ZL's approach to parsing and macros. We demonstrate how to use ZL to avoid problems with ABI instability through techniques such as fixing the size of class instances and controlling the layout of virtual method dispatch tables. We also demonstrate how to avoid problems with ABI incompatibility by implementing another compiler's ABI. Future work includes a more complete implementation of C++ and elevating the approach so that it is driven by a declarative ABI specification language.
Network Monitoring : Topology, Methods and Issues

Network engineers and operators are faced with a num- ber of challenges that arise in the context of network monitoring and measurement. These include: i) how much information is included in measurement traces and by how much can we compress those traces? , ii) how much information is captured by different monitoring paradigms and tools ranging from full packet header cap- tures to flow-level captures (such as with NetFlow) to packet and byte counts (such as with SNMP)? and iii) how much joint information is included in traces collected at different points and can we take advantage of this joint information? In this paper we develop a network model and an information theoretic framework within which to address these questions. We use the model and the framework to first determine the bene- fits of compressing traces captured at a single monitor- ing point, and we outline approaches to achieve those benefits. We next consider the benefits of joint coding, or equivalently of joint compression of traces captured a different monitoring points. Finally, we examine the dif- ference in information content when measurements are made at either the flow level or the packet/byte count level. In all of these cases, the effect of temporal and spatial correlation on the answers to the above questions is examined. Both our model and its predictions are val- idated against measurements taken from a large operational network
Embodied Emotions: Observations and Experiments in Architecture and Corporeality

This thesis is dedicated to the topic of the relationship between the Body and Architecture, in particular regarding the contemporary “embodied mind” theory. It includes a theoretical review on the topic based on the study of the different ways Architecture has followed the transformations that the views on the Body have endured throughout Western history, under the evolution and influence of different disciplines such as philosophy, technology, science, religion and art. Within this context, the thesis proposes a methodology based on performance arts, which explores the use of embodied practices in design education. Such a methodology aimed at testing how it is possible to influence users’ emotions using architectural space. The thesis argues that this can be achieved through a process of empathy between the users’ body and architectural space. To support this claim, the thesis presents a set of experiments undertaken in the context of architectural teaching. The results of such experiments were evaluated through the analysis of video and photo documentation, as well as through quantitative and qualitative data collected using emotion measurement tools and questionnaires, respectively.