ppxscal/embedding_network huggingface dataset:
Robust Speech Spectra Restoration against Unspecific Noise Conditions for Pitch Detection
Authors: Xin Xu, Noboru Hayasaka, Yoshikazu Miyanaga
Venue: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences (2008)

This paper proposes a new algorithm named Adaptive Running Spectrum Filtering (ARSF) to restore the amplitude spectra of speech corrupted by additive noises. Based on the pre-hand noise estimation, adaptive filtering is used in speech modulation spectra according to the noise conditions. The periodic structures in the amplitude spectra are kept against noise distortion. Since the amplitude spectral structures contain the information of fundamental frequency, which is the inverse of pitch period, ARSF algorithm is added into robust pitch detection to increase the accuracy. Compared with the conventional methods, experimental results show that the proposed method significantly improves the robustness of pitch detection against noise conditions with several types and SNRs.
RBAC-based access control for privacy protection in pervasive environments
Authors: Kyu II Kim, Won Gil Choi, Eun Ju Lee, Ung Mo Kim
Venue: Proceedings of the 3rd International Conference on Ubiquitous Information Management and Communication (2009)

Pervasive environment is a post-desktop model of human-computer interaction in which information processing has been thoroughly integrated into everyday object and activities. In there environment access control is a critical issue, with many aspects relating to the establishment, authorization and enforcement of policies that protect the resources from adversaries. Recently, many researches have been worked methods that have access to resources in ubiquitous applications. However they are inadequate to meet the requirement for privacy safeguard and dynamic changes. In this paper we propose how to protect sensitive data and present extended Role Based Access Control (RBAC) that respond to all the requirements for privacy control. We also show how proposed model preserves safety properties in spite of dynamic changes to access control permission.
A decision tree-based approach to dynamic pointcut evaluation
Authors: Robert Dyer, Hridesh Rajan
Venue: Proceedings of the 2nd Workshop on Virtual Machines and Intermediate Languages for emerging modularization mechanisms (2008)

Constructs of dynamic nature, e.g., history-based pointcuts and control-flow based pointcuts, have received significant attention in recent aspect-oriented literature. A variety of compelling use cases are presented that motivate the need for efficiently supporting such constructs in language implementations. The key challenge in implementing dynamic constructs is to efficiently support runtime adaptation of the set of intercepted join points at a fine-grained level. This translates to two high-level requirements. First, since the set of intercepted join points may change, such implementations must provide an efficient method to determine this set membership, i.e., whether the currently executing join point needs to be intercepted. Second, the frequency with which such set membership needs to be determined must be minimized. In previous work, Dyer and Rajan proposed a dedicated caching mechanism to address the second requirement. In this work, we propose a mechanism to address the first requirement. This requirement translates to efficiently evaluating whether a join point is intercepted by a set of pointcut expressions. In the worst case, at every join point there may be the need to determine whether it is intercepted. Therefore, even modest savings in such mechanisms is likely to translate to significant savings in the long run.
Electronic environmental governance in Ethiopia: key thrust areas
Authors: Satishkumar Belliethathan, Yitbarek Weldesemaet, Araya Asfaw
Venue: Proceedings of the 2nd International Conference on Theory and Practice of Electronic Governance (2008)

Environmental problems in Ethiopia are manifold and impede the country progression from the league of Least Developed Countries. Frequently recurring natural disasters such as droughts and floods are compounding the problem. While there are numerous ICT initiatives in the country, very few of them are dealing with environmental issues in a holistic way. The paper proposes an electronic environmental governance platform and four key environmental thrust areas to be considered for better e-enabled governance, to support the existing efforts in the country to address the enormous environmental problems. The paper also provides a simplified multidimensional electronic environmental governance model. The paper concludes by providing certain areas which needs due attention for ensuring the success of electronic environmental governance.
Modeling human reasoning about meta-information
Authors: Sean L. Guarino, Jonathan D. Pfautz, Zach Cox, Emilie Roth
Venue: International Journal of Approximate Reasoning (2009)

Information, as well as its qualifiers, or meta-information, forms the basis of human decision-making. Human behavior models (HBMs) therefore require the development of representations of both information and meta-information. However, while existing models and modeling approaches may include computational technologies that support meta-information analysis, they generally neglect its role in human reasoning. Herein, we describe the application of Bayesian belief networks to model how humans calculate, aggregate, and reason about meta-information when making decisions.
Design on the Fault Diagnostic System Based on Virtual Instrument Technique
Authors: Shijun Lv, Minghu Zhang, Youfeng Li, Xiaojuan Yu
Venue: Proceedings of the 2009 Second International Workshop on Knowledge Discovery and Data Mining (2009)

Virtual Instrument (VI) is one of the most prevalent technologies in the domain of testing, control and fault diagnosis systems, etc. In order to update entirely the means of the equipment testing for shipboard equipment, the fault diagnostic system for shipboard equipment is developed, based on VI technology, Delphi and database. The performance and constitutes of VI are introduced briefly. The modularization and universalization are proposed in its database-based design concept, realizing the design of software and hardware. The ODBC technique is applied for the interconnection of databases to ensure the generality and flexibility of the system. The aim of this design is to resolve the problems existing in the usage of testing equipments. The system mode the best of VI platform and grey diagnosis method, broke through conventional check diagnosis patterns for warships equipment, solved the problems of state prediction and trouble-mode recognition of warships equipment. It has been proved from the application that the system has merits both the testing speed and high accuracy.
Framework for integrating heterogeneous wireless networks using mobile IP
Authors: Hyun-Sun Hong, Ho-Seok Kang, Young-Chul Shim
Venue: Proceedings of the 3rd WSEAS international conference on Computer engineering and applications (2009)

As more wireless networks of many different types are being deployed, integrating these wireless networks and providing seamless handoff among these wireless networks is becoming a more important issue. This issue should be handled from the viewpoint of both the data link layer and the network layer. In this paper we explain how a mobile node which is configured as a client computer gets its IP address and keeps using it while it roams around various wireless networks, some of which may adopt NAT. Then we describe a secure vertical handoff protocol between WLAN and UMTS networks.
An approach to reduce thread switch frequency for branch
Authors: Lan Dong, X. M. Tang
Venue: Proceedings of the 7th conference on Data networks, communications, computers (2008)

Conditional branch prediction has been an important problem in recent years. With the development of parallel technology, the miss-prediction of conditional branch has given more and more effect on the system performance. The majority of solutions to this problem are to provide more hardware to predict the jump destination, but it costs more power and still leaves a fairly large space for prediction correctness to improve. In my previous research, a method was proposed to improve the prediction correctness by multithreading technology. Method proposed in this paper reduces the power dissipation of this previous method combined with branch predictor estimator as well as keeping fairly high performance.
Measurement system for electrical variables in a high EMI environment
Authors: Julio Montero, Jose Velazquez, Martin Gomez, Raul Garduño, Trinidad Aguilar
Venue: Proceedings of the 5th conference on Applied electromagnetics, wireless and optical communications (2007)

This paper introduces a system for measurement of electrical signals under very aggressive EMI conditions at a high power testing laboratory. Basically, the measuring process includes sensing voltage and current signals, in the order of tens of kV and kA, with the appropriate shunts or dividers, signal conditioning, analog modulation and transmission from the testing zone. The transmission media is optical fiber to ensure signal integrity, avoiding distortion due to EMI caused by the large currents and voltages during tests. At the other end, in the control room, the data acquisition system converts the optical signals back to electrical signals to be demodulated, amplified and digitized for further processing. The electronics take care of other potentially harmful influences such as temperature variation, which may cause DC-shifting and gain variations. The measurement system is currently under factory and on-site acceptance tests with excellent results so far. This system was conceived and developed in the Department of Instrumentation and Control of the Electrical Research Institute (IIE), under specific request from the National Electricity Company (CFE) in Mexico.
Does smallness affect the liberalisation of telecommunications? The case of Cyprus
Authors: Pavlos C. Symeou
Venue: Telecommunications Policy (2009)

A review of the literature on small economies and on telecommunications policy suggests that policy makers disregard the possible effects of the size of the economy on liberalisation outcomes. This paper builds on the literature on small economies to classify economy size according to economic, demographic, and geographical measures in order to empirically examine whether small size affects the effective culmination of liberalisation of telecommunications. A cluster of small economies that have a maximum population of 9.2 million (Guinea), GDP of US $86.17 billion (Singapore), and arable area of 19.3thousandkm2 (Central African Republic) are the main focus of analysis. In particular, the paper capitalises on an in-depth analysis of the liberalisation of telecommunications in Cyprus and an econometric analysis of the respective European experience. The country-specific outcomes of liberalisation in Cyprus are consistent with the general tendency in small European economies and jointly provide strong evidence that smallness affects the success of liberalisation. The paper concludes with an array of policy suggestions for small economies.
Tackling online game development problems with a novel network scripting language
Authors: George Russell, Alastair F. Donaldson, Paul Sheppard
Venue: Proceedings of the 7th ACM SIGCOMM Workshop on Network and System Support for Games (2008)

We describe a novel scripting language for writing bandwidth-efficient online game logic. The language facilitates the development of deterministic, concurrent, distributed games, with assurances of consistency maintenance between clients and server. Our approach allows for increased simulation accuracy when compared to dead reckoning, and removes the need to write code to repair distributed state inconsistencies, or to explicitly transfer data over a network.
An efficient multi-hash pattern matching scheme for intrusion detection in FPGA-based reconfiguring hardware
Authors: Byoungkoo Kim, Seungyong Yoon, Jintae Oh
Venue: Proceedings of the 8th conference on Applied computer scince (2008)

Many Network-based Intrusion Detection Systems (NIDSs) are developed till now to respond these network attacks. As network technology presses forward, Gigabit Ethernet has become the actual standard for large network installations. Therefore, software solutions in developing high-speed NIDSs are increasingly impractical. It thus appears well motivated to investigate the hardware-based solutions. Although several solutions have been proposed recently, finding an efficient solution is considered as a difficult problem due to the limitations in resources such as a small memory size, as well as the growing link speed. Therefore, we propose the FPGA-based intrusion detection technique to detect and respond variant attacks on high-speed links. It was designed to fully exploit hardware parallelism to achieve real-time packet inspection, to require a small memory for storing signature. The technique is a part of our system, called ATPS (Adaptive Threat Prevention System) recently developed. Most of all, the proposed system has a novel content filtering technique called Table-driven Bottom-up Tree (TBT) for exact string matching. But, as the number of signatures to be compared is growing rapidly, the improved mechanism is required. In this paper, we present the multi-hash based TBT technique with memory-efficiency. Simulation based performance evaluations showed that the proposed technique used on-chip SRAM less than 20% of the one-hash based TBT technique.
A holonic approach based integration methodology for transportation and warehousing functions of the supply network
Authors: Umut Rifat Tuzkaya, Semih Önüt
Venue: Computers and Industrial Engineering (2009)

The supply chain (SC) is often defined as a network that is composed of different functions, including suppliers, manufacturing plants, warehouses/distribution centers, retailers and customers. A supply network (SN) is a sequence of different and multiple numbers of functions and individual functional units that must satisfy all capacities and demand requirements imposed by customers with minimum cost to the network. The most important functions of a SN are warehousing and transportation functions. This paper addresses the warehousing and transportation network design problem that involves determining the best strategy for distributing the sub-products from the suppliers to the warehouse and from the warehouse to the manufacturers. Considering some similarities between holonic systems and SN systems, a holonic approach based modeling methodology is proposed in this study. A multiple supplier, single warehouse and multiple manufacturer system are considered to be an integrated warehousing and transportation network. Consequently, a linear programming model is presented to maximize the profit of both of the overall SN and the individual functional units of the SN functions.
NetQuest: a flexible framework for large-scale network measurement
Authors: Han Hee Song, Lili Qiu, Yin Zhang
Venue: IEEE/ACM Transactions on Networking (TON) (2009)

In this paper, we present NetQuest, a flexible framework for large-scale network measurement. We apply Bayesian experimental design to select active measurements that maximize the amount of information we gain about the network path properties subject to given resource constraints. We then apply network inference techniques to reconstruct the properties of interest based on the partial, indirect observations we get through these measurements. By casting network measurement in a general Bayesian decision theoretic framework, we achieve flexibility. Our framework can support a variety of design requirements, including i) differentiated design for providing better resolution to certain parts of the network; ii) augmented design for conducting additional measurements given existing observations; and iii) joint design for supporting multiple users who are interested in different parts of the network. Our framework is also scalable and can design measurement experiments that span thousands of routers and end hosts. We develop a toolkit that realizes the framework on PlanetLab. We conduct extensive evaluation using both real traces and synthetic data. Our results show that the approach can accurately estimate network-wide and individual path properties by only monitoring within 2%-10% of paths. We also demonstrate its effectiveness in providing differentiated monitoring, supporting continuous monitoring, and satisfying the requirements of multiple users.
Conspicuity and Congruity in Change Detection
Authors: Jean Underwood, Emma Templeman, Geoffrey Underwood
Venue: Attention in Cognitive Systems: 5th International Workshop on Attention in Cognitive Systems, WAPCV 2008 Fira, Santorini, Greece, May 12, 2008 Revised Selected Papers (2009)

How does visual saliency determine the attention given to objects in a scene, and is the detection of change dependent upon the conspicuity of the changed object? Viewers' eye movements were recorded during the inspection of pictures of natural scenes. Two versions of a scene were compared to determine whether or not they were the same. The two images were either available at the same time (Experiment 1), or consecutively (Experiment 2). When an object was changed, it either had high or low visual saliency and it either was congruent with the scene or it violated the gist in that it would not be expected to be seen in that context. Previous studies have indicated that incongruous objects sometimes attract early attention, but the inconsistency of this effect leads to the question of whether it is dependent upon conspicuity rather than congruity. Incongruous objects attract early eye fixations here, dismissing the explanation based on visual saliency.
Start Globally, Optimize Locally, Predict Globally: Improving Performance on Imbalanced Data
Authors: David A. Cieslak, Nitesh V. Chawla
Venue: Proceedings of the 2008 Eighth IEEE International Conference on Data Mining (2008)

Class imbalance is a ubiquitous problem in supervised learning and has gained wide-scale attention in the literature. Perhaps the most prevalent solution is to applysampling to training data in order improve classiﬁer performance. The typical approach will apply uniform levels of sampling globally. However, we believe that datais typically multi-modal, which suggests sampling shouldbe treated locally rather than globally. It is the purposeof this paper to propose a framework which ﬁrst identiﬁes meaningful regions of data and then proceeds to ﬁndoptimal sampling levels within each. This paper demonstrates that a global classiﬁer trained on data locally sampled produces superior rank-orderings on a wide range ofreal-world and artiﬁcial datasets as compared to contemporary global sampling methods.
Maximum power control of hybrid wind-diesel-storage system
Authors: Elkhatib Kamal, Magdy Koutb, Abdul Azim Sobaih, Sahar Kaddah
Venue: Advances in Fuzzy Systems (2008)

Extraction of maximum wind power of variable speed wind turbines in hybrid wind-diesel-storage system (HWDSS) is considered due to economical purposes. The proposed control algorithm utilizes extended fuzzy-linear matrix equalities (FLMEs) systems design of stabilizing fuzzy controllers for nonlinear systems described by Takagi-Sugeno (TS) fuzzy models. The algorithm maximizes the power coefficient for a fixed pitch. Moreover, it reduces the voltage ripple and stabilizes the system over a wide range of wind speed variations. The control scheme is tested for different profiles of wind speed pattern and provides satisfactory results.
Learning Nagios 3.0
Authors: Wojciech Kocjan
Venue:  (2008)

Nagios is a tool for system and network monitoring. It constantly checks other machines and various services on those machines. The main purpose of system monitoring is to detect and report any system not working properly as soon as possible--so that you are aware of problems before a user runs into them. It is a modular and flexible solution that uses plug-ins to do its job. The book is an introduction to Nagios that will teach readers to use Nagios with its advanced features. At the same time, readers who have already used earlier versions of Nagios will also benefit because they will learn about the new and advanced features of Nagios 3. APPROACH This is a beginner-level book, which will introduce Nagios to System Administrators who are interested in monitoring their systems. The focus is on teaching system administrators to secure their systems in a much improved manner incorporating the newer features of Nagios. It will teach Nagios beginners the basics of installation and configuration of version 3; it will show professionals who have already worked on earlier versions of Nagios the new features of Nagios like inheritance and also the new internal functions like better check scheduling.
A refined performance characterization of longest-queue-first policy in wireless networks
Authors: Bo Li, Cem Boyaci, Ye Xia
Venue: Proceedings of the tenth ACM international symposium on Mobile ad hoc networking and computing (2009)

One of the major challenges in wireless networking is how to optimize the link scheduling decisions under interference constraints. Recently, a few algorithms have been introduced to address the problem. However, solving the problem to optimality for general wireless interference models is known to be NP-hard. The research community is currently focusing on finding simpler, sub-optimal scheduling algorithms and on characterizing the algorithm performance. In this paper, we address the performance of a specific scheduling policy called Longest Queue First (LQF), which has gained significant recognition lately due to its simplicity and high efficiency in empirical studies. There has been a sequence of studies characterizing the guaranteed performance of the LQF schedule, culminating at the construction of the σ-local pooling concept by Joo et al. [10]. In this paper, we refine the notion of σ-local pooling and use the refinement to capture a larger region of guaranteed performance.
Local Construction of Near-Optimal Power Spanners for Wireless Ad Hoc Networks
Authors: Iyad A. Kanj, Ljubomir Perković, Ge Xia
Venue: IEEE Transactions on Mobile Computing (2009)

We present a local distributed algorithm that, given a wireless ad hoc network modeled as a unit disk graph U in the plane, constructs a planar power spanner of U whose degree is bounded by k and whose stretch factor is bounded by 1 + (2\sin{\frac{\pi}{k}})^{p}, where k \geq 10 is an integer parameter and p \in [2, 5] is the power exponent constant. For the same degree bound k, the stretch factor of our algorithm significantly improves the previous best bounds by Song et al. We show that this bound is near-optimal by proving that the slightly smaller stretch factor of 1 + (2\sin{\frac{\pi}{k + 1}})^{p} is unattainable for the same degree bound k. In contrast to previous algorithms for the problem, the presented algorithm is local. As a consequence, the algorithm is highly scalable and robust. Finally, while the algorithm is efficient and easy to implement in practice, it relies on deep insights on the geometry of unit disk graphs and novel techniques that are of independent interest.
The 4-way deterministic tiling problem is undecidable
Authors: Ville Lukkarila
Venue: Theoretical Computer Science (2009)

It is shown that the (infinite) tiling problem by Wang tiles is undecidable even if the given tile set is deterministic by all four corners, i.e. a tile is uniquely determined by the colors of any two adjacent edges. The reduction is done from the Turing machine halting problem and uses the aperiodic tile set of Kari and Papasoglu.