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In this paper, a lesson is drawn from the way class definitions are provided in object-oriented programming. The distinction is introduced between the visible structure given in a class definition and the hidden structure, and then possible connections are indicated between these two structures and the structure of an entity modeled by the class definition.

In multiple objects tracking it become difficult to track the objects when they get cluttered due to proximity of the object. Such a cluttered environment leads to misleading target tracking in video analysis. This becomes important when video system is employed for security purpose or behavior analysis of the object. The object get merged and split due to occlusion or obstacles in viewing angle of the camera. In this paper we present the novel algorithm to handle issue of split and merge of the objects. To increase the robustness, association rules for object tracking are proposed. The algorithm tracks number of objects by keeping record of the split and merge of these objects with each other. Association rules are developed to track the multiple objects from frame to frame. Due to association rule application processing time increases when objects are merged or split, otherwise time required is same as normal object detection condition. In order to save the memory requirement for association of objects from frame to frame, linked list structure is implemented, which will expand and collapse as number of objects changes in given video frame. Object descriptors are stored as one node of the linked list along with object ID and flags indicating split and merge of objects. This list is updated as the video frames progresses for tracking of the objects. Such a system shows good result while tracking the multiple objects in cluttered environment due to shadow or occlusion or overlapping with in a frame

The quality assurance procedures associated with the financing of large PV plants are becoming increasingly more relevant to the PV scene in general. In this context, PV performance modelling is required in order to predict the energy yield and to rate the operating plant performance. Despite the availability of PV performance models since the early days of photovoltaics, the emergence of new proposals and the current debate on the development of an energy rating standard means that this can still be considered an open question. In the specific context of Quality Assurance Procedures, PV performance models must not only be accurate but must also be based on features specifically supported by manufacturers (datasheet information), in order to maintain the chain of responsibility in the event of failure. This paper reviews the currently available PV performance models with regard to accuracy and also compliance with datasheet specifications and guarantees. Accuracy is assessed through a meticulous measurement campaign conducted on PV arrays of four different technologies at a PV plant located in Navarra (northern Spain). The models reviewed are classified into physical models, based on the full I-V curve, and empirical models, which are solely based on the maximum power point (MPP). Despite the fact that physical models and MPP models with more than three parameters are currently widely used, this paper shows that empirical models with just three independent parameters suffice to accurately describe the relationship between PV array performance and operating conditions and are more easily derived from standard datasheet information. This result suggests that 3-parameter empirical models are the best option for PV performance modelling in the context of technical quality assurance procedures.

Software design patterns provide a proven and comprehensive solution for a series of problems that designers confront with them. Web security becomes a critical issue in the online environments. Many techniques strive to achieve web applications to acceptable level of confidence. One of the useful behavioral design patterns is the chain-of- responsibilities pattern that includes several command objects in a series of processing objects. There is a set of logic in each processing object that can handle a command and transfer it to the next processing object. This series of processing objects is stable, and also, the position of each ring in the chain is unchangeable. In this paper, a dynamic chain of responsibilities design pattern that provides a new mechanism for enhance flexibility in security of web application would be presented.

In this paper, it proposes a data mining system based on data mining algorithms of B/S framework, including the key parts such as visualization of data mining, processing of data mining processes and data storage etc…and initially achieves an agriculture data mining platform based on B/S framework based on the chain of responsibility pattern. Finally, it combines the specific application cases of agriculture data to validate the expansibility, flexibility and effectiveness of the agricultural data mining platform based on Web.

An object-based approach to portraying urban systems, based on the priority of spatial relationships, is proposed. Real-world entities are represented by means of unitary fixed and non-fixed objects. Fixed unitary objects are located directly, by coordinates, while non-fixed unitary objects are located by pointing to fixed objects. Self-organizing spatial ensembles of unitary urban objects are represented by means of emerging domain objects. Software objects represent unitary objects and domains as well as the relationships between them. The user is responsible for formulating rules of object creation, updating, and destruction, while the system automatically updates relationships following movements of non-fixed objects, domain self-organization, change, and destruction. A prototype software system for simulating housing dynamics is presented.

In the classical pattern recognition problem, consideration is given to individual objects, each of which actually belongs to one of the finite number of classes and is presented for the recognition irrespective of other objects. Recognition objects often form a single interconnected array determined by the nature of the event involved, namely, its natural extent in time or in space along one or a few coordinates. As a consequence, the need arises to take consistent decisions about the classes for all elements of the array. The prior assumption consisting in the fact that neighboring objects more often belong to one class than to different classes will permit one to improve the recognition quality in comparison with the classical case of the independence of classes of separate objects.

A successful representation of objects in literature is as a collection of patches, or parts, with a certain appearance and position. The relative locations of the different parts of an object are constrained by the geometry of the object. Going beyond a single object, consider a collection of images of a particular scene category containing multiple (recurring) objects. The parts belonging to different objects are not constrained by such a geometry. However, the objects themselves, arguably due to their semantic relationships, demonstrate a pattern in their relative locations. Hence, analyzing the interactions among the parts across the collection of images can allow for extraction of the foreground objects, and analyzing the interactions among these objects can allow for a semantically meaningful grouping of these objects, which characterizes the entire scene. These groupings are typically hierarchical. We introduce hierarchical semantics of objects (hSO) that captures this hierarchical grouping. We propose an approach for the unsupervised learning of the hSO from a collection of images of a particular scene. We also demonstrate the use of the hSO in providing context for enhanced object localization in the presence of significant occlusions, and show its superior performance over a fully connected graphical model for the same task.

For practical reasons, research on the recognition of objects from different viewpoints has relied almost exclusively on the use of two-dimensional representations of three-dimensional objects. We describe an apparatus that enables the presentation of three-dimensional objects in a discrimination learning paradigm. Three chambers positioned on a movable table allow each of two objects to be presented on either the left or the right side; a viewing window exposes only two of the objects at a time. The objects can be arbitrarily designated as either an S+ or an S-. In addition, they can be placed precisely in any arbitrary start position and rotated in depth in 100 steps of 3.6 degrees each. We have successfully used this apparatus to investigate recognition of depth-rotated objects by both pigeons and humans. By varying the stimuli, number of stimulus chambers, and software programs, the apparatus can be used for other types of tasks and to investigate other types of processes.

Despite all the attention to Big Data and the claims that it represents a “paradigm shift” in science, we lack understanding about what are the qualities of Big Data that may contribute to this revolutionary impact. In this paper, we look beyond the quantitative aspects of Big Data (i.e. lots of data) and examine it from a sociotechnical perspective. We argue that a key factor that distinguishes “Big Data” from “lots of data” lies in changes to the traditional, well-established “control zones” that facilitated clear provenance of scientific data, thereby ensuring data integrity and providing the foundation for credible science. The breakdown of these control zones is a consequence of the manner in which our network technology and culture enable and encourage open, anonymous sharing of information, participation regardless of expertise, and collaboration across geographic, disciplinary, and institutional barriers. We are left with the conundrum—how to reap the benefits of Big Data while re-creating a trust fabric and an accountable chain of responsibility that make credible science possible.

We present a general approach for modeling temporal aspects of objects in a logic programming framework. Change is formulated in the context of a database which stores explicitly a record of all changes that have occurred to objects and thus (implicitly) all states of objects in the database. A snapshot of the database at any given time is an object-oriented database, in the sense that it supports an object-based data model. An object is viewed as a collection of simple atomic formulas, with support for an explicit notion of object identity, classes and inheritance. The event calculus is a treatment of time and change in first-order classical logic augmented with negation as failure. The paper develops a variant of the event calculus for representing changes to objects, including change in internal state of objects, creation and deletion of objects, and mutation of objects over time. The concluding sections present two natural and straightforward extensions, to deal with versioning of objects and schema evolution, and a sketch of implementation strategies for practical application to temporal object-oriented databases. ©1996 IEEE.

The paper describes the SysMan approach to interactive configuration management of distributed software components (objects). Domains are used to group objects to apply policy and for convenient naming of objects. Configuration Management involves using a domain browser to locate relevant objects within the domain service; creating new objects which form a distributed service; allocating these objects to physical nodes in the system and binding the interfaces of the objects to each other and to existing services. Dynamic reconfiguration of the objects forming a service can be accomplished using this tool. Authorisation policies specify which domains are accessible by which managers and which interfaces can be bound together.

The notion of location of part objects is introduced, yielding a reference to the containing object. Combined with locally defined objects and classes (block structure), singularly defined part objects, and references to part objects, it is a powerful language mechanism for defining objects with different aspects or roles. The use of part objects for inheritance of code is also explored.

A computer based method for performing a command via a voice user interface on a subset of objects. The subset is selected from a set of objects, each having an object type. At least one taggable field is associated with the object type and has a corresponding value. The set of objects is stored in the computer memory. An utterance is received from the user and includes a command, an object type selection, a taggable field selection, and a value for the taggable field. Responsive to the utterance, at least one object is retrieved from the set of objects, the object of the type selected by the user and having a value in the taggable field selection that matches the taggable field value received from the user. The command is performed on the object. The object consists of text which is converted to voice output.

The authors introduce a clustering concept called component aggregation which considers assemblies having the same types of parts as equivalent objects. The notion of equivalent objects is used to develop a mathematical model of composite objects. It is shown that the set of equivalence classes of objects form a Boolean algebra whose minterms represent the objects that are not considered composite at the current viewing level. The algebraic structure of composite objects serves as a basis for developing a technique for organizing composite objects and supporting materialization of explosion views. The technique provides a clustering mechanism which partitions the database into meaningful and application-oriented clusters, and allows any desired explosion view to be materialized using a minimal set of stored views. A simplified relational database for design data and a set of frequent access patterns in design applications are outlined and used to demonstrate the benefits of database organizations based on the mathematical model of composite objects. >