In the real world, a realistic setting for computer vision or multimedia recognition problems is that we have some classes containing lots of training data and many classes contain a small amount of training data. Therefore, how to use frequent classes to help learning rare classes for which it is harder to collect the training data is an open question. Learning with Shared Information is an emerging topic in machine learning, computer vision and multimedia analysis. There are different level of components that can be shared during concept modeling and machine learning stages, such as sharing generic object parts, sharing attributes, sharing transformations, sharing regularization parameters and sharing training examples, etc. Regarding the specific methods, multi-task learning, transfer learning and deep learning can be seen as using different strategies to share information. These learning with shared information methods are very effective in solving real-world large-scale problems. This special issue aims at gathering the recent advances in learning with shared information methods and their applications in computer vision and multimedia analysis. Both state-of-the-art works, as well as literature reviews, are welcome for submission. Papers addressing interesting real-world computer vision and multimedia applications are especially encouraged. Topics of interest include, but are not limited to:  • Multi-task learning or transfer learning for large-scale computer vision and multimedia analysis • Deep learning for large-scale computer vision and multimedia analysis • Multi-modal approach for large-scale computer vision and multimedia analysis • Different sharing strategies, e.g., sharing generic object parts, sharing attributes, sharing transformations, sharing regularization parameters and sharing training examples, • Real-world computer vision and multimedia applications based on learning with shared information, e.g., event detection, object recognition, object detection, action recognition, human head pose estimation, object tracking, location-based services, semantic indexing. • New datasets and metrics to evaluate the benefit of the proposed sharing ability for the specific computer vision or multimedia problem. • Survey papers regarding the topic of learning with shared information.  Authors who are unsure whether their planned submission is in scope may contact the guest editors prior to the submission deadline with an abstract, in order to receive feedback.

IEEE transactions on pattern analysis and machine intelligence

A Glimpse at Set Theory. The Real Numbers. The Topology of Cartesian Spaces. Convergence. Continuous Functions. Functions of One Variable. Infinite Series. Differentiation in RP Integration in RP.

The elements of real analysis (2nd edition), by Robert G. Bartle. Pp xv, 480. £10. 1976. SBM 0 471 05464 X (Wiley)

As new fabrication and integration technologies reduce the cost and size of micro-sensors and wireless interfaces, it becomes feasible to deploy densely distributed wireless networks of sensors and actuators. These systems promise to revolutionize biological, earth, and environmental monitoring applications, providing data at granularities unrealizable by other means. In addition to the challenges of miniaturization, new system architectures and new network algorithms must be developed to transform the vast quantity of raw sensor data into a manageable stream of high-level data. To address this, we propose a tiered system architecture in which data collected at numerous, inexpensive sensor nodes is filtered by local processing on its way through to larger, more capable and more expensive nodes.We briefly describe Habitat monitoring as our motivating application and introduce initial system building blocks designed to support this application. The remainder of the paper presents details of our experimental platform.

Habitat monitoring: Application driver for wireless communications technology

In the fifth-generation (5G) mobile communication system, various service requirements of different communication environments are expected to be satisfied. As a new evolution network structure, heterogeneous network (HetNet) has been studied in recent years. Compared with homogeneous networks, HetNets can increase the opportunity in the spatial resource reuse and improve users’ quality of service by developing small cells into the coverage of macrocells. Since there is mutual interference among different users and the limited spectrum resource in HetNets, however, efficient resource allocation (RA) algorithms are vitally important to reduce the mutual interference and achieve spectrum sharing. In this article, we provide a comprehensive survey on RA in HetNets for 5G communications. Specifically, we first introduce the definition and different network scenarios of HetNets. Second, RA models are discussed. Then, we present a classification to analyze current RA algorithms for the existing works. Finally, some challenging issues and future research trends are discussed. Accordingly, we provide two potential structures for 6G communications to solve the RA problems of the next-generation HetNets, such as a learning-based RA structure and a control-based RA structure. The goal of this article is to provide important information on HetNets, which could be used to guide the development of more efficient techniques in this research area.

/pdf/a-survey-on-resource-allocation-for-5g-heterogeneous-4gmdtz8zbn.pdf

A Survey on Resource Allocation for 5G Heterogeneous Networks: Current Research, Future Trends, and Challenges

http://library.um.ac.id/free-contents/downloadpdf.php/buku/multivariate-observations-g-a-f-seber-11683.pdf

Multivariate observations / G.A.F. Seber

Mobile object tracking in wireless sensor networks (WSNs) has gained much attention during recent years due to the special characteristics of these networks. Considering the wide application of tracking in WSNs, various problems of data aggregation, routing, scheduling and energy conservation have been revisited and new solutions have been proposed recently. Due to the importance of this topic and the availability of a significant body of literature, a detailed survey becomes necessary and useful at this stage. In this paper we present a survey of the state-of-the-art mobile object tracking techniques in WSNs. We give a definition for the general problem of object tracking and introduce challenges in designing an efficient object tracking sensor network (OTSN). We highlight the advantages and performance issues of the existing tracking methods and make a brief comparison based on the design parameters proposed. Finally, we will present open problems and the future works conceivable in this broad field of research.

Mobile object tracking techniques in wireless sensor networks

In this paper, we show how to use Verilog HDL along with PLI (Programming Language Interface) to model asynchronous circuits at the behavioral level by implementing CSP (Communicating Sequential Processes) language constructs. Channels and communicating actions are modeled in Verilog HDL as abstract actions.

/pdf/verilog-hdl-powered-by-pli-a-suitable-framework-for-t1wo5hs1wq.pdf

Verilog HDL, powered by PLI: a suitable framework for describing and modeling asynchronous circuits at all levels of abstraction

Mechatronic systems operating in industrial environments are subject to a variety of threats because of harsh conditions. Industrial systems usually use commercial off-the shelf (COTS) equipment which are not robust and safe against hostile conditions and therefore require fault-tolerance considerations. This paper presents a novel and efficient method for online detection of control flow errors, called software-based control flow checking (SCFC). It is implemented purely in software and does not manipulate the hardware architecture of the system. Redundant instructions and signatures are embedded into the program at compile time and are utilized for control flow checking at run time. The signatures of the basic blocks are derived from the program graph. It is shown in the paper that SCFC method can increase single detection capability to 14.7% and the fault coverage to 6.12% averagely in comparison with other methods without any increase in memory and performance overheads. In the paper, besides experimental evaluations, analytical evaluations are also carried out, based on probability principles. The detection ability of each method used is thus computed. These computations verify the experimental results and show that SCFC can detect more errors than other methods suggested in literature. Considering the memory limitations in some (such as space) applications and the trend towards the requirement for faster execution of programs, we suggest a novel metric called fitness parameter which incorporates these. It is a better measure than the previously proposed ones since it considers the fault coverage, the memory overhead and the execution time (performance overhead) of each method simultaneously, as well as the detection capability.

Software-Based Control Flow Checking Against Transient Faults in Industrial Environments

This paper presents a high level error detection and correction method called HVD code to tolerate multiple bit upsets (MBUs) occurred in memory cells. The proposed method uses parity codes in four directions in a data part to assure the reliability of memories. The proposed method is very powerful in error detection while its error correction coverage is also acceptable considering its low computing latency. HVD code is useful for applications whose high error detection coverage is very important such as memory systems. Of course, this code can be used in combination with other protection codes which have high correction coverage and low detection coverage. The proposed method is evaluated using more than one billion multiple fault injection experiments. Multiple bit flips were randomly injected in different segments of a memory system and the fault detection and correction coverages are calculated. Results show that 100% of the injected faults can be detected. We proved that, this method can correct up to three bit upsets. Some hardware implementation issues are investigated to show tradeoffs between different implementation parameters of HVD method.

HVD: horizontal-vertical-diagonal error detecting and correcting code to protect against with soft errors

In this paper we propose an asynchronous wrapper with new asynchronous communication port controllers and reliable clock generation scheme for locally synchronous modules. This is achieved by utilizing clock gating idea within GALS wrappers which makes the use of reliable and robust off-chip clock generator possible for locally synchronous modules. In addition to clock robustness, the clock generator part becomes totally synchronous. To validate the proposed solution, we employed the wrapper circuit in Viterbi error detection and correction circuit. The synthesis results show that our GALS approach gains 44%/spl sim/48% performance improvement in contrast to pausible clock GALS wrappers.

/pdf/globally-asynchronous-locally-synchronous-wrapper-circuit-3n6sg9rxyd.pdf

Hossein Pedram

Papers

Mobile object tracking techniques in wireless sensor networks

Verilog HDL, powered by PLI: a suitable framework for describing and modeling asynchronous circuits at all levels of abstraction

Software-Based Control Flow Checking Against Transient Faults in Industrial Environments

HVD: horizontal-vertical-diagonal error detecting and correcting code to protect against with soft errors

Globally asynchronous locally synchronous wrapper circuit based on clock gating