Visualizing “typical” and “exotic” Internet traffic data

The threat of cyber attacks motivates the need to monitor Internet traffic data for potentially abnormal behavior. Due to the enormous volumes of such data, statistical process monitoring tools, such as those traditionally used on data in the product manufacturing arena, are inadequate. “Exotic” data may indicate a potential attack; detecting such data requires a characterization of “typical” data. We devise some new graphical displays, including a “skyline plot,” that permit ready visual identification of unusual Internet traffic patterns in “streaming” data, and use appropriate statistical measures to help identify potential cyberattacks. These methods are illustrated on a moderate-sized data set (135,605 records) collected at George Mason University.     

Undergraduate students' use of information elicited during e-mail “tutorials”

This study considers those questions posed by students during e-mail “tutorials” to elicit information from “guest lecturers” and the use of that information by students in their essays. The “tutorials” were conducted for students in the U.K. by a “guest lecturer” in France. The “guest lecturer” was accredited as a tutor on the module for which the students were enrolled, and participated in the module by the provision of lecture notes prior to the e-mail tutorials. Data for the study, drawn from a comparative education assignment set for undergraduate students enrolled on the module, comprised surveys of students' perceived IT capabilities and attitudes towards IT, analyses of students' questions and analyses of students' essays. The findings of the study indicate (1) that tutees tend to pose questions to elicit information or clarification rather than to elicit the viewpoint or opinions of the “guest lecturer” and (2) that two-thirds of tutees' essays cited information elicited from the “guest lecturer”.     

Skill based manufacturing vs. “unmanned factory”—which is superior?

Past development of small batch production has led to advanced horizontal and vertical division of labor, job shop manufacturing, and the use of NC machines. This has caused serious difficulties such as long and variant throughput times, an unfavorable ratio of unproductive to productive workers, and low quality of work. Additionally confronted with deeply changed market conditions, the management is split over the right answer to this challenge. Most managers and production planners try to replace human work still further by enforced use of computers on the shop floor and in the technical office in an integrated manner (CIM). Since this strategy is very likely to create new severe problems, the minority seeks to avoid them by reorganizing production and rearranging the division of functions between humans and machines profoundly (skill based manufacturing). This position is outlined in this paper in some detail and examples of realized subsystems, as first steps on this development path, are included. Finally, reasons for its superiority and resistance to implement it are discussed.     

On “cheap smoothing” opportunities in identification of time-varying systems

In certain applications of nonstationary system identification the model-based decisions can be postponed, i.e. executed with a delay. This allows one to incorporate into the identification process not only the currently available information, but also a number of “future” data points. The resulting estimation schemes, which involve smoothing, are not causal. Despite the possible performance improvements, the existing smoothing algorithms are seldom used in practice, mainly because of their high computational requirements. We show that the computationally attractive smoothing procedures can be obtained by means of compensating estimation delays that arise in the standard exponentially weighted least squares, least mean squares and Kalman filter-based parameter trackers.     

The depth of monotone Boolean functions with multi input “AND” and “OR” gates

The problem of maximum depth of monotone Boolean functions is investigated when k-input AND and OR gates are used for realisation.     

“Probability transforms” of digital pictures

Let g be any local property (e.g., gray level or gradient magnitude) defined on a digital picture. Let p_g(z) be the relative frequency with which g has value z. At each point (x,y) of the picture we can display p_g[g(x,y)], appropriately scaled; the result is called the p_g transform of the picture. Alternatively, we can use joint or conditional frequencies of pairs of local properties to define transforms. This note gives examples of such transforms for various gs and discusses their possible uses and limitations.     

Decision support for “messy” problems

Problems that are non-quantitative and not bound to a narrow knowledge domain have been served unsatisfactorily by decision support and expert systems. Alternative techniques that address this type of problem are explained here using two key concepts: problem type dependent process support and domain related knowledge. Process support refers to the program steps and the data items useful in finding the solution. Domain related knowledge is knowledge drawn from a specific domain, yet through abstraction applicable to a wider range of problems. Results of preliminary empirical analyses suggest that both concepts are useful.     

An ergonomic evaluation of VDTs“”

Eight VDTs of different trademarks were analysed in relation to the following properties:

( a) Contrasts of luminance between the screens on the one hand and source documents, as well as other surfaces of the VDT, on the other.

(b) Oscillation degree, sharpness and stability of characters.

( c) Face and legibility of characters.

( d) Dimensions, mobility and reflection degrees of the keyboards.

Special equipment was developed and standardized conditions were applied to the measurements.

The eight VDTs showed essential differences for all the parameters, which might be partially responsible for eye strain and postural complaints. It can be concluded that customers should pay more attention to ergonomic qualities when choosing a VDT. But such an endeavour remains useless if the customer does not, at the same time, look for a proper design of the whole workstation including the working environment.     

A Calculus for “environment-aware” computation

We present a calculus for modelling “environment-aware” computations, that is computations that adapt their behaviour according to the capabilities of the environment. The calculus is an imperative, object-based language with extensible objects, equipped with a labelled transition semantics. A notion of bisimulation, lifting to computations a correspondence between the capabilities of different environments, is provided. Bisimulation can be used to prove that a program is “cross-environment”, i.e., it has the same behaviour when run in different environments.     

Information retrieval expert system “matchmaker”

This paper describes the information system used to search for a potential matrimonial partner. The search is based on comparison of the subject's record, which consists of his/her answers to about 400 items of a specially designed questionnaire, to the records of the potential partners. The basic principle of the system is representation of the set of candidates for the client with psychological warnings about potential “conflict zones” in relationships between client and candidate rather than a ranking of candidates based on hypothetical “psychological compatibility” indices.     

Alias types for “environment-aware” computations

In previous work with Bono we introduced a calculus for modelling “environment-aware” computations, that is computations that adapt their behavior according to the capabilities of the environment. The calculus is an imperative, object-based language (with extensible objects and primitives for discriminating the presence or absence of attributes of objects) equipped with a small-step operational semantics.In this paper we define a type and effect system for the calculus. The typing judgements specify, via constraints, the shape of environments which guarantees the correct execution of expressions and the typing rules track the effect of expression evaluation on the environment. The type and effect system is sound w.r.t. the operational semantics of the language.     

A broadband inverted umbrella shaped cylindrical dielectric resonator antenna for “WLAN” and “C” band applications

The main objective of the present article is to improve the bandwidth of a low profile Cylindrical Dielectric Resonator Antenna (CDRA) and operate it for WLAN and “C” band applications. An inverted umbrella shaped CDRA excited by a microstrip feedline with single stub is proposed here. Efficient coupling has been achieved by means of a single stub microstrip feed between DRA and the feed. The new shape of DRA and a single stub microstrip feed improves the bandwidth significantly as high as 28% from 5 to 6.67 GHz which is quite useful for both WLAN and “C” band applications. The proposed antenna is simple in construction, easy to fabricate, low profile and thickness of CDRA is only 5 mm. A parametric study is performed using Ansoft HFSS simulation software to optimize the antenna performance. The proposed CDRA is fabricated and the characteristics of the antenna are measured.