ppxscal/embedding_network huggingface dataset:
An accuracy assessment methodology for the remotely sensed discontinuities: a case study in Andesite Quarry area, Turkey
Authors: A. Kocal, H. S. Duzgun, C. Karpuz
Venue: International Journal of Remote Sensing (2007)

The discontinuities play an important role in both the design and development stages of many geotechnical engineering projects. Therefore, semi-automatic detection of discontinuities based on remote sensing will save a considerable amount of time and cost. Accuracy of the semi-automatically detected discontinuities is also as important as the detection process, since the results directly reflect the uncertainty in the geotechnical problem. The current paper presents an accuracy assessment methodology for semi-automatically detected discontinuities from remotely sensed images. Semi-automatic lineament analysis is performed by using high-resolution satellite imagery for identification of rock discontinuities at the Andesite quarry area in Gölbası, Ankara, Turkey. A high-resolution data IKONOS Precision Plus with 1 m resolution orthorectified image has been used in the present study. The accuracy assessment methodology is developed based on a comparison of manually extracted lineaments using directional filtering and semi-automatically detected lineaments with LINE module of PCI Geomatica 8.2 and manual intervention. The proposed accuracy assessment methodology considers the accuracy based on location and length of the lineaments. In this respect, it has two dimensions. For the algorithm of the developed methodology, a software called LINECOMP, is coded in Java environment. The LINECOMP is composed of three modules. These are: LINE ADDRESS for identification of pixel addresses of lineaments; which is used for locational accuracy assessment; LINE COMPARE for comparing two lineament maps with respect to lineament pixels, which is used for length-based accuracy; and LINE CLASSIFICATION for classifying the assessed accuracy with respect to the amount of location and length matching. The performance of the proposed accuracy assessment method is also verified by the field studies carried out in the study area.
Relevance assessment: are judges exchangeable and does it matter
Authors: Peter Bailey, Nick Craswell, Ian Soboroff, Paul Thomas, Arjen P. de Vries, Emine Yilmaz
Venue: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval (2008)

We investigate to what extent people making relevance judgements for a reusable IR test collection are exchangeable. We consider three classes of judge: "gold standard" judges, who are topic originators and are experts in a particular information seeking task; "silver standard" judges, who are task experts but did not create topics; and "bronze standard" judges, who are those who did not define topics and are not experts in the task. Analysis shows low levels of agreement in relevance judgements between these three groups. We report on experiments to determine if this is sufficient to invalidate the use of a test collection for measuring system performance when relevance assessments have been created by silver standard or bronze standard judges. We find that both system scores and system rankings are subject to consistent but small differences across the three assessment sets. It appears that test collections are not completely robust to changes of judge when these judges vary widely in task and topic expertise. Bronze standard judges may not be able to substitute for topic and task experts, due to changes in the relative performance of assessed systems, and gold standard judges are preferred.
An unsupervised Hindi stemmer with heuristic improvements
Authors: Amaresh Kumar Pandey, Tanveer J Siddiqui
Venue: Proceedings of the second workshop on Analytics for noisy unstructured text data (2008)

Stemmers are used to convert inflected words into their root or stem. Stem does not necessarily correspond to linguistic root of a word. Stemming improve performance by reducing morphologically variants into same words. This paper presents an approach is to develop unsupervised Hindi stemmer. This paper focus on the development of an unsupervised stemmer for Hindi and evaluation of approach using manually segmented words. We evaluate our approach on 1000-1000 words randomly extracted words (only) from Hindi WordNet1 data base. The training data has been constructed by extracting 106403 words extracted from EMILLE2 corpus. The observed accuracy was found to be 89.9% after applying some heuristic measures. The F-score was 94.96%. As the algorithm does not require any language specific information, it can be applied to other Indian languages as well. We also evaluate the effect of stemmer in terms of reducing size of index for Hindi information retrieval task. The results have been compared with light weight stemmer [10] and UMass stemmer [17]. Test run shows that our stemmer outperforms both the stemmer.
Methodology for Characterization of NOR-NOR Programmable Logic Array
Authors: Venkata Rajesh Mekala, Venkata Rakesh Mekala
Venue: Proceedings of the 2008 Second Asia International Conference on Modelling & Simulation (AMS) (2008)

Programmable Logic Arrays are popular implementations for “multi-input” 2-level “multioutput” functions. PLAs are advantageous for designers especially in GHz technology with deep sub-micron sizing. The regular structures of PLAs are attractive to VLSI designers because they require a small number of separate cell designs. PLAs allow “ease of testing”. The biggest advantage is that the entire design flow in the PLA generation can be automated. The main focus of the paper is to establish a quick design verification methodology for PLAs. We choose dynamic PLAs which have an advantage of higher frequency of operation, lesser power consumption and easier predictability of area.The methodology involves generation of spice decks dynamically using Perl code and simulating the PLA’s pre-layout net-list in H-Spice. In the post-layout stage layouts are dynamically generated using SKILL programming in Virtuoso and simulating post-layout net-list in H-Spice. Various characterization experiments are done on PLA using this methodology.
Mining a logical set of microarray data from heterogeneous multi-platform microarrays
Authors: Hyun Seok Park
Venue: Proceedings of the 2nd international conference on Ubiquitous information management and communication (2008)

In recent years, the microarray technology has been utilized in various applications such as the profiling of mRNAs, assessment of DNA copy number, genotyping, and detection of methylated sequences. These heterogeneous platforms could be co-analyzed, for cross-validation. In this paper, our result of integral genomic analyses of first phase multi-platform microarrays project, in collaboration with five genome research centers of Korea, is presented. Four different platforms have been used, and we believe that predictive models generated by heterogeneous microarray platforms analyses can be validated better than those generated on a single platform data set.
A Fast Agglomerate Algorithm for Mining Functional Modules in Protein Interaction Networks
Authors: Min Li, Jianxin Wang, Jian'er Chen
Venue: Proceedings of the 2008 International Conference on BioMedical Engineering and Informatics - Volume 01 (2008)

As advanced in the technologies of predicting protein-protein interactions, huge data sets portrayed as networks have been generated. Identification of functional modules from such networks is crucial for understanding principles of cellular organization and functions. In this paper, we presented a new fast agglomerate algorithm of identifying functional modules based on the edge clustering coefficients, named FAG-EC. We applied algorithm FAG-EC to the core protein interaction network of budding yeast collected from DIP database. Many significant functional modules were detected. Algorithm FAG-EC had a high precision of more than 59% and had a recall of more than 27%. The f-measure was more than 37%. Most importantly, algorithm FAG-EC is extremely fast, which can be used in large protein interaction networks.
ESL hand-off: fact or EDA fiction?
Authors: Hiroyuki Yagi, Wolfgang Roesner, Tim Kogel, Eshel Haritan, Hidekazu Tangi, Michael McNamara, Gary Smith, Nikil Dutt, Giovanni Mancini
Venue: Proceedings of the 45th annual Design Automation Conference (2008)

Moving up in the level of abstraction is the holy grail of EDA. Each transition to the next level of abstraction allows 100x improvement in simulation speed and 100x improvement in design productivity. ESL is being promoted as the next level above RTL but is it really happening?
Server Placement in Multiple-Description-Based Media Streaming
Authors: Satyajeet Ahuja, Marwan Krunz
Venue: Proceedings of the Data Compression Conference (2008)

Multiple description coding (MDC) is a powerful source coding technique that involves encoding a media stream into r independently decodeable substreams. With every successful reception of a substream, decoded signal quality improves. We consider the problem of placing a set of servers in the network such that a desired quality of service can be provided to a community of clients. We formulate the server placement (SP) problem, whose goal is to identify the minimum number of server locations that can provide r descriptions to a set of clients such that the delay associated with each path from a chosen server location to a given client is bounded by a given delay onstraint and the total ``unreliability" associated with the group of paths to a given client is also upper bounded. We show that the SP problem is NP-complete. We propose a mixed-integer linear programming (MILP) formulation and heuristic solution for the SP problem. Simulations are conducted to evaluate the performance ofthe proposed algorithm and to compare it with the MILP solution.
Integrated system models for reliable petascale storage systems
Authors: Brent Welch
Venue: Proceedings of the 2nd international workshop on Petascale data storage: held in conjunction with Supercomputing '07 (2007)

The big challenges facing petascale storage systems are not actually those of performanc or traditional fault tolerance schemes, but instead the challenges stem from the inherent complexity of large distributed systems. The best way to address these problems is to build a system model into the system itself, and have the system continuously monitor its current state as compared with the desired state according to the model. Change is applied to the model first, and then the system strives to achieve the new model. The hard part is defining a good model, building good support for introspection, and exploiting these features in the system design. This paper describes this problem in more detail, explains some of the techniques we have used in building the Panasas distributed storage system, and concludes with a summary of the open problems with building petascale storage systems.
Learning to rank at query-time using association rules
Authors: Adriano A. Veloso, Humberto M. Almeida, Marcos A. Gonçalves, Wagner Meira Jr.
Venue: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval (2008)

Some applications have to present their results in the form of ranked lists. This is the case of many information retrieval applications, in which documents must be sorted according to their relevance to a given query. This has led the interest of the information retrieval community in methods that automatically learn effective ranking functions. In this paper we propose a novel method which uncovers patterns (or rules) in the training data associating features of the document with its relevance to the query, and then uses the discovered rules to rank documents. To address typical problems that are inherent to the utilization of association rules (such as missing rules and rule explosion), the proposed method generates rules on a demand-driven basis, at query-time. The result is an extremely fast and effective ranking method. We conducted a systematic evaluation of the proposed method using the LETOR benchmark collections. We show that generating rules on a demand-driven basis can boost ranking performance, providing gains ranging from 12% to 123%, outperforming the state-of-the-art methods that learn to rank, with no need of time-consuming and laborious pre-processing. As a highlight, we also show that additional information, such as query terms, can make the generated rules more discriminative, further improving ranking performance.
AdaBoost with SVM-based component classifiers
Authors: Xuchun Li, Lei Wang, Eric Sung
Venue: Engineering Applications of Artificial Intelligence (2008)

The use of SVM (Support Vector Machine) as component classifier in AdaBoost may seem like going against the grain of the Boosting principle since SVM is not an easy classifier to train. Moreover, Wickramaratna et al. [2001. Performance degradation in boosting. In: Proceedings of the Second International Workshop on Multiple Classifier Systems, pp. 11-21] show that AdaBoost with strong component classifiers is not viable. In this paper, we shall show that AdaBoost incorporating properly designed RBFSVM (SVM with the RBF kernel) component classifiers, which we call AdaBoostSVM, can perform as well as SVM. Furthermore, the proposed AdaBoostSVM demonstrates better generalization performance than SVM on imbalanced classification problems. The key idea of AdaBoostSVM is that for the sequence of trained RBFSVM component classifiers, starting with large @s values (implying weak learning), the @s values are reduced progressively as the Boosting iteration proceeds. This effectively produces a set of RBFSVM component classifiers whose model parameters are adaptively different manifesting in better generalization as compared to AdaBoost approach with SVM component classifiers using a fixed (optimal) @s value. From benchmark data sets, we show that our AdaBoostSVM approach outperforms other AdaBoost approaches using component classifiers such as Decision Trees and Neural Networks. AdaBoostSVM can be seen as a proof of concept of the idea proposed in Valentini and Dietterich [2004. Bias-variance analysis of support vector machines for the development of SVM-based ensemble methods. Journal of Machine Learning Research 5, 725-775] that Adaboost with heterogeneous SVMs could work well. Moreover, we extend AdaBoostSVM to the Diverse AdaBoostSVM to address the reported accuracy/diversity dilemma of the original Adaboost. By designing parameter adjusting strategies, the distributions of accuracy and diversity over RBFSVM component classifiers are tuned to maintain a good balance between them and promising results have been obtained on benchmark data sets.
Analytical integral algorithm applied to boundary layer effect and thin body effect in BEM for anisotropic potential problems
Authors: Huanlin Zhou, Zhongrong Niu, Changzheng Cheng, Zhongwei Guan
Venue: Computers and Structures (2008)

A new completely analytical integral algorithm is proposed and applied to the evaluation of nearly singular integrals in boundary element method (BEM) for two-dimensional anisotropic potential problems. The boundary layer effect and thin body effect are dealt with. The completely analytical integral formulas are suitable for the linear and non-isoparametric quadratic elements. The present algorithm applies the analytical formulas to treat nearly singular integrals. The potentials and fluxes at the interior points very close to boundary are evaluated. The unknown potentials and fluxes at boundary nodes for thin body problems with the thickness-to-length ratios from 1E-1 to 1E-8 are accurately calculated by the present algorithm. Numerical examples on heat conduction demonstrate that the present algorithm can effectively handle nearly singular integrals occurring in boundary layer effect and thin body effect in BEM. Furthermore, the present linear BEM is especially accurate and efficient for the numerical analysis of thin body problems.
Adaptive compliant force-motion control of coordinated non-holonomic mobile manipulators interacting with unknown non-rigid environments
Authors: Zhijun Li, Weidong Chen, Jun Luo
Venue: Neurocomputing (2008)

Most studies on the coordination control of multiple mobile manipulators system assume exact knowledge of system dynamics and deal only with motion control. However, actual applications may involve the tasks in which multiple coordinated mobile manipulators system interacts with rigid or non-rigid working surfaces. In this paper, we consider multiple mobile manipulators grasping a rigid object in contact with a deformable working surface, whose geometric and real physical parameters are unknown but boundedness of physical parameters is known. The contact forces are nonlinear and difficult to model. A neuro-adaptive control for coordinated mobile manipulators is proposed for robust force/motion tracking. The control law is based on the philosophy of the parallel approach, in which the control problem is divided into three subspaces and the adaptive techniques are employed to deal with the uncertain environmental constraints, disturbances, and unknown robotic and object dynamics. The proposed adaptive force-motion controller guarantees the tracking errors of motion and force trajectories converge to zero. Simulation examples are presented to verify the effectiveness of the proposed control.
Micro lens imprinted on Pyrex glass by using amorphous Ni-P alloy mold
Authors: Harutaka Mekaru, Tomoyuki Tsuchida, Jun-ichi Uegaki, Manabu Yasui, Michiru Yamashita, Masaharu Takahashi
Venue: Microelectronic Engineering (2008)

We fabricated micro lenses on a Pyrex glass using thermal nanoimprint technology. The mold material employed to imprint on the Pyrex glass was a Ni/Ti/Si substrate electroless-plated with an amorphous Ni-P alloy. The fabrication of the mold involved high precision FIB processing. In this technique we used a newly developed low-cost mold for imprinting on Pyrex glass rather than using the commonly employed more expensive mold made of glass-like carbon material. Micro lens shaped concave curvatures of radii 12@mm and 20@mm were created on mold by an FIB system equipped with three-dimensional CAD software. The mold was then used for thermal imprinting on Pyrex glass substrate to fabricate lenses. The accuracy of Ni-P mold proved to be far superior to that of pure Ni mold.
Haptic-Enabled Telementoring Surgery Simulation
Authors: Xiaojun Shen, Jilin Zhou, Abdelwahab Hamam, Saeid Nourian, Naim R. El-Far, François Malric, Nicolas D. Georganas
Venue: IEEE MultiMedia (2008)

Surgical simulation can provide high-fidelity training that increases the diffusion of innovative and less-invasive procedures while decreasing the surgeon's learning curve.
Mobile Displays: Technology and Applications (Wiley Series in Display Technology)
Authors: Achintya K Bhowmik, Zili Li, Philip Bos, Achintya K Bhowmik, Zili Li, Philip Bos
Venue:  (2008)

The mobile display industry has witnessed rapid growth, in both volume and diversification, in recent years. This trend is expected to persist with continued consumer demand for mobile communications and computing applications. Mobile displays are now integral to a wide range of devices such as MP3 players, digital cameras, PDAs, GPS map readers, portable DVD players, and electronic books, as well as the ubiquitous mobile phone and laptop computers. This proliferation of products has fuelled a significant investment into the research and development of the mobile display, with key research laboratories across the display industry and academia producing many exciting technological advancements. With contributions from well-known experts, in both industry and academia, this book presents a comprehensive coverage of the mobile display in a single volume. Ranging from an in-depth analysis of the requirements that the displays must meet, through current devices, to emerging technologies, the text features: mobile environment and human-factor considerations for the display; advances in the incumbent active matrix liquid crystal display (AMLCD) technologies; backlighting and light manipulation techniques; mobile display driver electronics and interface technologies; emerging technologies including active matrix organic light emitting diode (AMOLED), electronic paper displays, and system-on-glass (SOG) developments; application developments in eyewear, mobile projector, and 3D displays. Mobile Displays: Technology and Applications presents, in addition to the fundamentals, a detailed update on state-of-the-art advancements. It is an invaluable resource for practicing electronics and display engineers working on the development of mobile displays and their applications. It is also an extensive reference for graduates taking special courses in display technologies.
Maximizing Return on Security Safeguard Investment with Constraint Satisfaction
Authors: Taek Lee, Dohoon Kim, Hoh Peter In
Venue: Proceedings of the 2008 International Conference on Information Security and Assurance (isa 2008) (2008)

Security development project planning is a tricky task because a security manager is not sure about what combination of effective safeguards should be implemented to prevent threats from occurring and damaging future business continuity. Such the decision making problem is necessarily accompanied with investment constraints (e.g. limited budget, positive return requirement, implementation advices). Thus, it is not easy to justify a security investment plan having the several constraints. In this paper, we model the constraints and formulate the decision making problem to find the best solution by using IntegerProgramming.
A Map Matching Algorithm for Car Navigation Systems that Predict User Destination
Authors: Koichi Miyashita, Tsutomu Terada, Shojiro Nishio
Venue: Proceedings of the 22nd International Conference on Advanced Information Networking and Applications - Workshops (2008)

In this paper, we propose a map matching algorithm for car navigation systems that predict user destination. This car navigation system is a novel system that automatically predicts user purpose and destination to present various information based on predicted purpose without user interaction. It requires the correct road where the car drives in real time, and it also need to know the route from the start point to the current point correctly. The proposal map matching method divides the trajectory into equal intervals and calculates the shortest path score for each one. Testing using GPS data for actual car trips showed that its use results in better destination prediction than with conventional methods in most cases. The results were the best for intervals of 5 minutes.
EcoDAQ: A Densely Distributed, High Bandwidth Wireless Data Acquisition System
Authors: Chong-Jing Chen, Pai H. Chou
Venue: Proceedings of the 7th international conference on Information processing in sensor networks (2008)

Current wireless sensor networks achieve dense deployment by low duty cycling. Unfortunately, this represents agreat mismatch with many real-world applications that require non-trivial data rates. To solve these issues above, we propose EcoDAQ, a new densely distributed wireless data acquisition systemwith a relatively high data rate.We implement a MAC layer protocol that minimizes complexity and memory footprint on the sensor node while guaranteeingcollision freedom, without using multiple frequency channels.As a result, this work is not onlyhighly scalable to at least 50 active nodes per squared meter,but at the same time the low complexity minimizes the cost ofthese ultra-compact sensor devices.The full demo would show a system deployment with a minimum of 50 active sensors on a poster board of 1 m^2 area. The monitoring station keeps gathering up to 500 accelerometer data samples per second from all of these 50 sensor nodes and displays them simultaneously on a fifty-screen tiled display system. A portable version that emulates the tiled screens in a reduced size will be shown at the conference.