Miracle-dz/UniFAR-FTUs huggingface dataset:
Parasitic-aware RF IC design

Parasitic-aware CAD synthesis techniques for RF integrated circuits based on simulated annealing with tunneling, particle swarm optimization, and non-dominated sorting genetic algorithms are presented. Computationally efficient techniques for post-optimization process, voltage, and temperature (PVT) Monte-Carlo sensitivity analysis are also described, and several design examples of RF integrated circuits in CMOS and SiGe BiCMOS technologies are shown to validate the parasitic-aware synthesis methodology.
A single-chip 900-MHz spread-spectrum wireless transceiver in 1-μm CMOS. II. Receiver design

For pt. I see ibid., vol. 33, no. 4, April 1998. A 900-MHz direct-conversion receiver to detect a frequency-hopped carrier with frequency shift keying (FSK) modulation at 160 kb/s is integrated on the same chip as the transmitter. The receiver combines a low-noise amplifier with downconversion mixers and low-pass channel-select filters in quadrature channels. A digital correlating detector makes the data decisions. The received signal is dehopped when it is down-converted. The cascade noise figure is 8.6 dB, and the cascade IIP3 is -8.3 dBm. In active mode, the receiver takes 120 mA from 3 V.
An automatic detection scheme of anti-debugging routines to the environment for analysis

Anti-debugging is one of the techniques implemented within the computer code to hinder attempts at reverse engineering so that attackers or analyzers will not be able to use debuggers to ana lyze the program. The technique has been applied to various programs and is still commonly used in order to prevent malware or malicious code attacks or to protect the programs from being analyzed. In this paper, we will suggest an automatic detection scheme for anti-debugging routines. With respect to the automatic detection, debuggers and a simulator were used by which trace information on the Application Program Interface(API) as well as executive instructions were extracted. Subsequently, the extracted instru ctions were examined and compared so as to detect points automatically where suspicious activity was captured as anti-debugging routin es. Based on experiments to detect anti-debugging routines using such methods, 21 out of 25 anti-debugging techniques introduced in this paper appear to be able to detect anti-debugging routines properly. The technique in the paper is therefore not dependent upon a certain anti-debugging method. As such, the detection technique is expected to also be available for anti-debugging techniques that will be developed or discovered in the future. ☞ keyword : Anti-debugging, Malware, Instruction trace, API trace, Anti-reversing, Anti-reverse Engineering
Accounting for intellectual capital: a comparative analysis

Purpose – The aim of this paper is to understand how many and what intangible assets firms from two different contexts disclose in order to comprehend whether an accounting harmonization is actually reached in practice and what are the eventual hurdles to surmount in order to reach it.Design/methodology/approach – A qualitative and quantitative analysis of the purchase analyses disclosed by the Swedish and Italian listed companies in their financial statements refering to the first year of application of the IFRS3 is conducted.Findings – The main findings are the following. First, firms do not disclose intangible assets in the same way. Second, contracts become a useful tool to make it possible to account for IC. Third, the disclosure of labels shows a variety. Fourth, differences in behavior are seen.Research limitations/implications – The main limitation is that only a sample of firms (the listed ones in the SSE and MTA/MTAX) that apply IFRS3 is investigated. The main implication is that the disclosing .
Testing results and derivation of minimum performance criteria for computerized ECG-analysis

The authors describe a method for evaluation of performance testing results from the Common Standards for Quantitative Electrocardiography (CSE) studies. It allows derivation of minimum performance requirements which consider the present state of the art by referencing them to the results of all existing systems tested. Based upon these minimum requirements, equipment with pure performance can be recommended. A comparison between these tolerance limits and recommendations by cardiological experts shows surprisingly high agreement. <<ETX>>
COMPARATIVE EVALUATION OF MRIO DATABASES

This editorial is the introduction to a special issue of Economics Systems Research on the topic of intercomparison of multi-regional input–output (MRIO) databases and analyses. It explains the rationale for dedicating an issue of this journal to this area of research. Then the six papers chosen for this issue are introduced. This is followed by a concluding section outlining future directions for developers and users of MRIO databases.
A New Automatic Focusing Algorithm and its Application on Vision Measuring Machine

The way to realize the automatic focusing rapidly and efficiently is a focus in some automatic optical inspection case. The key problem is how to select a suitable focusing evaluation function and design an effective auto-focusing algorithm. In this paper, based on comparing some well-known focusing evaluation functions, a new automatic focusing algorithm was presented. It used two steps to do the search. At the first step, it searched a large region quickly just to get the approximate focusing position, the next step was to do precise search in a small area in order to get the exact focusing position. This new algorithm performed well on the vision measuring machine and could focus rapidly and exactly.
Fostering Collaborative Knowledge Construction in Case-Based Learning Scenarios in Videoconferencing

This article focuses on facilitating learners' collaborative knowledge construction in case-based learning scenarios. The article first describes how case-based learning can promote knowledge acquisition and then discusses the characteristics of videoconferencing in such scenarios. Then we focus our attention on the process and outcomes of the collaborative case solution. Following this, we concentrate on the issue of instructional support and present two methods which could particularly facilitate learners in their collaborative case-solving: collaboration scripts and content schemes. The empirical section describes an experimental study with 150 participants who collaborated in groups of three via videoconferencing. These triads were assigned randomly to one of four conditions, which involved using a collaboration script and a content scheme. Results reveal that the collaboration script reduced the level of learners' content-specific negotiation and the content scheme reduced the level of strategic negotiation. The content scheme significantly improved the collaborative case solution. Furthermore, learners' strategic negotiation also had a positive association with the collaborative case solution.
The Relevancy of Graduate Curriculum to Human Resource Professionals' Electronic Communication

Abstract In this study, the authors examined the relevancy of graduate curricula in the area of human resource management. They conducted a quantitative analysis of the content of graduate courses and the electronic communication of human resource management professionals to identify areas that were being either undertaught or overtaught. The authors analyzed the identified areas of discrepancy and offer suggestions for revising the graduate curriculum, where necessary. Generally, their findings indicate that the content of most graduate courses closely mirrors the topics being discussed online by human resource management professionals.
Experiences with model predictive control applied to a nonlinear constrained submarine

We consider a particular model predictive control (MPC) problem involving a nonlinear constrained submarine in order to explore the specific features of this genre. A considerable amount of the extant theoretical literature is deliberately very general in its formulation and, by considering this physically comprehensible example, we are able to identify and develop generalisable results concerning the solution and behaviour of such problems in a way which is not available from the abstract viewpoint. The MPC which we consider is designed using a discretised nonlinear model with online constrained finite-horizon optimisation accompanied by an extended Kalman filter state estimator. This control is implemented on the continuous time submarine system. These observations are simulation-based, but use deliberately imperfect models in the MPC.
Secure Computer System: Unified Exposition and Multics Interpretation

Abstract : A unified narrative exposition of the ESD/MITRE computer security model is presented. A suggestive interpretation of the model in the context of Multics and a discussion of several other important topics (such as communications paths, sabotage and integrity) conclude the report. A full, formal presentation of the model is included in the Appendix.
Transient analysis of charge-transfer in SC filters-gain error and distortion

In switched-capacitor (SC) circuits, op amps often slew during the charge-transfer transient. When this happens, the charge-transfer error is no longer proportional to the input signal. The charge-transfer transient is studied in detail, taking into account the slewing behavior of the amplifiers. Analytical expressions are obtained for the charge-transfer error of an SC integrator. In switched-capacitor signal processing, the harmonic distortion can be defined as the harmonic distortion of the envelope of the sampled-data sequence. A Fourier analysis is carried out on the sampled-data sequence corrupted by the charge-transfer error due to slewing of the operational transconductance amplifiers. Analytical expressions are derived for harmonic distortions of an SC integrator. Analysis of the results shows that slew-induced harmonic distortion can be minimized by using large transconductance. It is possible to design SC filters with low power consumption and low harmonic distortion without resorting to class AB amplifiers.
Trafik Kazaları Analizi için Bayes Ağları Modeli

― The use of high ways as the major means of transportation in Turkey causes a rapid increase in traffic intensity. As a result of the fact that the current infrastructure is unable to respond this rapid increase of traffic intensity, in addition to the traffic infringements made both by drivers and pedestrians, each year a huge number of traffic accidents occur. To prevent the traffic accidents with tangible and intangible losses resulting from it, and to take the necessary precautions in that purpose, it is necessary to conduct a detailed analysis of traffic accidents and the factors influencing its happening. In this research, traffic accidents and the factors influencing traffic accident occurrences are analyzed via Bayesian networks. As a graphical model, Bayesian networks possess a special importance with its abilities such as showing the conditional dependencies between the variables, not being limited to only one output variable, the ability to update the network through evidence observation and the capability to transfer all these information through a graphical interface. In this research, using the official traffic accident reports obtained from Silivri Regional Branch Office and County Gendarmerie Traffic Command a data set is constructed and the corresponding Bayesian network is learned from this data set. Prediction capability of the network is verified through the test data set and the efficiency of the learned model is confirmed with the lift over marginal resulting as positive. Sensitivity analysis is performed for the variables in the network. The proposed model in this research is an exemplary model to analyze the dependency structure between the effects, causes and outcomes of traffic accidents.
Experiments in adaptive predictive coding

This paper reports experiments in image compression using adaptive sampling and predictive coding. A picture usually comprises of areas of varying detail. The authors first detect these areas, and then sample key points from them. An area with greater detail requires many sample points to suitably represent it, whereas regions with lesser detail can be represented with fewer points. These key sample points are then used to predict the remainder of the image. Combining the use of adaptive sampling with predictive encoding, the authors' algorithm manages to achieve compression while maintaining the desired image quality. Its performance is compared to JPEG in terms of compression ratio and image quality.
Toward building high-availability disk-array-based storage servers

In multimedia applications, disk-arrays are often used to support he disk bandwidth requirements and data availability. Serious problems on available disk bandwidth and data availability could occur upon disk failure. In this paper, we discuss issues related to replicating data copies to provide high fault-tolerance required in a disk-array- based storage server. Replication and parity are two approaches to increase fault tolerance. By exploring theoretical aspects of these two concepts, we examine methods to build high availability disk arrays with multiple redundancy. The data allotment presented achieves the optimal fault-tolerance for goth triple and quadruple redundant disk arrays. Some theoretical properties of this problem are investigated.
Data Mining in Web Services Discovery and Monitoring

The business needs, the availability of huge volumes of data and the continuous evolution in Web services functions derive the need of application of data mining in the Web service domain. This paper recommends several data mining applications that can leverage problems concerned with the discovery and monitoring of Web services. This paper then presents a case study on applying the clustering data mining technique to the Web service usage data to improve the Web service discovery process. This paper also discusses the challenges that arise when applying data mining to Web services usage data and abstract information.
Experience with standstill frequency response (SSFR) testing and analysis of salient pole synchronous machines

Standstill frequency response (SSFR) testing and analysis of salient pole synchronous generators and motors performed by the members of the Working Group are summarized. The papers presented in a panel session at the 1997 Winter Power Meeting are condensed into this paper for the benefit of future researchers. The pertinent features of SSFR testing and analysis of salient pole machines are described to point out the differences from those of round rotor turbogenerators extensively published in the literature.
Research of Tracking and Prediction of Moving Object with Kalman

This paper puts forward a complete track forecasting models, using Kalman filter to track and predict the movement of objects without prior knowledge. Use the extracted Harris corner to calculate optical flow between two frames by L-K pyramid method, getting the convex hull of moving objects by optical flow clustering to separate the moving objects from background. Tracking and predicting the gravity of moving objects convex hull can solve the occlusion and separation problem between moving objects. Computer simulation and field test results show that the proposed method has higher tracking accuracy, and small amount of calculation.
Universal scene change detection on MPEG-coded data domain

In this paper, we propose scene decomposition algorithm from MPEG compressed video data. As a preprocessing for scene decomposition, partial reconstruction methods of DC image for P- and B-pictures as well as I-pictures directly from MPEG bitstream are used. As for detection algorithms, we have exploited several methods for detection of abrupt scene change, dissolve and wipe transitions using comparison of DC images between frames and coding information such as motion vectors. It is also proposed the method for exclusion of undesired detection such as flashlight in order to enhance scene change detection accuracy. It is shown that more than 95 percent of decomposition accuracy has been obtained in the experiment using more than one hour TV program. It is also found that in the proposed algorithm scene change detection can be performed more than 5 times faster than normal playback speed using 130MIPS workstation.
Is Subcutaneous Route an Alternative to Intravenous Route for Mouse Contrast-Enhanced Magnetic Resonance Imaging at 1.5 T?

The present work compares intravenous (IV) and subcutaneous (SC) routes for contrast-enhanced MRI (CE-MRI) in mice. For that purpose, we selected two contrast media used in clinical practice. MRI acquisitions were performed at 1.5 T on five adult mice (Swiss, 41 g +/- 3 g). On each animal, four acquisitions were achieved with IV and SC administration of either Gd-DOTA or MS-325 (1 acquisition per week). For each route, 0.1 mL of NaCl and 0.1 mL of contrast agent were injected. For each acquisition, 200 T1-weighted images were acquired in a 2 h 34 min time lapse. For each route and contrast medium, dynamic contrast enhancement (DCE) curves were obtained. Time-to-peak (TTP), uptake, and washout constant-time values and contrast-to-noise ratio (CNR) were extracted. IV route TTP value was 4.9 min with Gd-DOTA and 5.4 min with MS-325. SC route TTP was 43.3 min with Gd-DOTA and 45.0 min with MS-325. Despite slower uptake constant-time, we show that SC is a potentially valuable alternative to the IV route in mouse preclinical CE-MRI.
Accelerating arithmetic coding on a graphic processing unit

The popularity of Graphic Processing Units (GPUs) opens a new avenue for general-purpose computation including the acceleration of algorithms. Massively parallel computations using GPUs have been applied in various fields by researchers. Arithmetic coding (AC) is widely used in lossless data compression and shows better compression efficiency than the well-known Huffman Coding. However, AC possesses much higher computational complexity due to frequent multiplication and branching operations. In this paper, we implement the block-parallel arithmetic encoder on GPUs using the NVIDIA GPU and the Computer Unified Device Architecture (CUDA) programming model. The source data sequence is divided into small blocks. Each CUDA thread processes one data block so that data blocks can be encoded in parallel. By exploiting the GPU computational power, a significant speedup is achieved. We show that the GPU-based AC speedup result depends on data distribution and size. It is observed that the GPU speedup increases with higher compression ratios, due to the fact that higher compression ratio corresponds to smaller compressed data output which reduces the bit stream concatenation time as well as the device-to-host transfer time. Applying to the selected test images in the USC-SIPI image database, we obtain speedup values ranging from 26x to 42x while compression ratios ranging from 1.4 to 2.7.
A buffer-driven approach to adaptively stream stored video over Internet

Since Internet conditions change rapidly with time, it is very important for a streaming media server to scale the quality of transmission depending on prevailing network conditions. We propose a novel buffer-driven adaptive streaming scheme for stored video. Instead of performing quality adaptation based on bandwidth estimation, this scheme scales quality of transmission based on both receiver buffer occupancy and sender buffer occupancy. Simulation results demonstrate that the proposed algorithm can achieve very smooth playback quality while preventing client buffer underflow or overflow. Besides, unlike existing quality adaptation scheme, our scheme can effectively utilize the available bandwidth without bandwidth estimation.
The Research on Shortest Path Base on Yantai Vocational College

This paper based on the complex network, this paper expounds the advantages and disadvantages of traditional shortest path algorithm, this paper puts forward the traditional path finding algorithm of the improved algorithm, the improved algorithm is compared with the traditional algorithm between the search efficiency, and all the differences between the improved algorithm to solve complex network in size, number of nodes under the condition of the shortest path problem. The test shows that the improved algorithm efficiency in the later has obviously advantages, which are embodied in the space greatly reduce the complexity, the execution time also greatly reduced. But the individual the improved algorithm also has limitations. At last, this paper introduces the improved algorithm in yantai vocational college for the application of road map.
Fatigue in the Automated Vehicle

As vehicle operation becomes increasingly automated, driver fatigue appears to be an increasingly pressing safety issue. Trivia games have been suggested as a fatigue countermeasure, but, like cell phone use, games may be distracting. The present study investigated whether secondary media devices impacted subjective responses and driver performance, during fatiguing drives. A manipulation of full and partial vehicle automation was used to induce fatigue during simulated driving. Participants were also assigned to one of three media device conditions (control, cell phone or trivia). Subjective state response, vehicle control and reaction time to a sudden event were recorded. The media devices did help minimize the loss of task engagement and elevated distress produced by vehicle automation. We also extended findings that the media devices helped improve concurrent driver performance. However, media usage was not associated with faster response time to subsequent events, suggesting that such devices may not lastingly enhance alertness.
Conversational Routines of Requesting in Spoken Singapore and British English: A Corpus-Based Comparative Study

Abstract This paper is a corpus-based comparative analysis of conversational routines in spoken British and Singapore English. It investigates the linguistic realizations, frequencies, distribution and distributive features of the conversational routines of requesting in the five text types of the two parallel corpora of the ICE project, ICE-SIN and ICE-GB. Corpus analysis tools, ICECUP and WordSmith, are used in the search and analysis of conversational routines in the two corpora. The theoretical framework for the analysis of conversational routines is mainly provided by speech act theory and Gricean pragmatics. It has been found that, although some differences in the use of conversational routines can be seen in some of the text types in the corpora, there are, on the whole, more similarities than differences between British and Singapore English.
Study of User Activity in Peer to Peer Living Streaming System

understanding the characteristics of user activities make sense to various application designs, and consequently has impact on business benefit directly. In this paper, we present a study of a peer to peer (P2P) live streaming system based on measurement. We classify those channels into three types and study the statistical characteristics on user behaviors, such as user arriving and leaving, especially we conduct an in-depth analysis of their relations with program time point and time duration. We observe that users behave differently not only inside different type of channels but also different programs. We find that 1) peers watching time duration has no necessary relationship with peer interest; 2) peers watching time duration is enormously affected by program arrangement; 3) peers behavior is substantially active in the first 10min of a program. We also come up with a heuristic model about the number of online peers during a program and the watching time duration of one online user. Our study can be used as a reference for arranging the program resources and channel resources so as to attract more viewers to stay longer in the streaming system. This has important implications on not only the design and development of P2P streaming system and IPTV systems, but also the existing general TV system.