Augmenting Static Source Views in IDEs with Dynamic Metrics

Mainstream IDEs such as Eclipse support developers in managing software projects mainly by offering static views of the source code. Such a static perspective neglects any information about runtime behavior. However, object-oriented programs heavily rely on polymorphism and late-binding, which makes them difficult to understand just based on their static structure. Developers thus resort to debuggers or profilers to study the system's dynamics. However, the information provided by these tools is volatile and hence cannot be exploited to ease the navigation of the source space. In this paper we present an approach to augment the static source perspective with dynamic metrics such as precise runtime type information, or memory and object allocation statistics. Dynamic metrics can leverage the understanding for the behavior and structure of a system. We rely on dynamic data gathering based on aspects to analyze running Java systems. By solving concrete use cases we illustrate how dynamic metrics directly available in the IDE are useful. We also comprehensively report on the efficiency of our approach to gather dynamic metrics.

Senseo: Enriching Eclipse's Static Source Views with Dynamic Metrics

Maintaining object-oriented systems that use inheritance and polymorphism is difficult, since runtime information, such as which methods are actually invoked at a call site, is not visible in the static source code. We have implemented Senseo, an Eclipse plugin enhancing Eclipse's static source views with various dynamic metrics, such as runtime types, the number of objects created, or the amount of memory allocated in particular methods.

Dynamic Performance Measures for Object Tracking Systems

Performance evaluation of object tracking systems is typically performed after the data has been processed, by comparing tracking results to ground truth. Whilst this approach is fine when performing offline testing, it does not allow for real-time analysis of the systems performance, which may be of use for live systems to either automatically tune the system or report reliability. In this paper, we propose three metrics that can be used to dynamically asses the performance of an object tracking system. Outputs and results from various stages in the tracking system are used to obtain measures that indicate the performance of motion segmentation, object detection and object matching. The proposed dynamic metrics are shown to accurately indicate tracking errors when visually comparing metric results to tracking output, and are shown to display similar trends to the ETISEO metrics when comparing different tracking configurations.

Design of alternative energy storage systems for hybrid vehicles based on statistical processing of driving cycles information

Hybrid vehicles represent the future for automakers, since they allow to improve the fuel economy and to reduce the pollutant emissions. A key component of the hybrid powertrain is the Energy Storage System, that determines the ability of the vehicle to store and reuse energy. Though electrified Energy Storage Systems (ESS), based on batteries and ultracapacitors, are a proven technology, Alternative Energy Storage Systems (AESS), based on mechanical, hydraulic and pneumatic devices, are gaining interest because they give the possibility of realizing low-cost mild-hybrid vehicles. Currently, most literature of design methodologies focuses on electric ESS, which are not suitable for AESS design. In this contest, The Ohio State University has developed an Alternative Energy Storage System design methodology. This work focuses on the development of driving cycle analysis methodology that is a key component of Alternative Energy Storage System design procedure. The proposed methodology is based on a statistical approach to analyzing driving schedules that represent the vehicle typical use. Driving data are broken up into power events sequence, namely traction and braking events, and for each of them, energy-related and dynamic metrics are calculated. By means of a clustering process and statistical synthesis methods, statistically-relevant metrics are determined. These metrics define cycle representative braking events. By using these events as inputs for the Alternative Energy Storage System design methodology, different system designs are obtained. Each of them is characterized by attributes, namely system volume and weight. In the last part the work, the designs are evaluated in simulation by introducing and calculating a metric related to the energy conversion efficiency. Finally, the designs are compared accounting for attributes and efficiency values. In order to automate the driving data extraction and synthesis process, a specific script Matlab based has been developed. Results show that the driving cycle analysis methodology, based on the statistical approach, allows to extract and synthesize cycle representative data. The designs based on cycle statistically-relevant metrics are properly sized and have satisfying efficiency values with respect to the expectations. An exception is the design based on the cycle worst-case scenario, corresponding to same approach adopted by the conventional electric ESS design methodologies. In this case, a heavy system with poor efficiency is produced. The proposed new methodology seems to be a valid and consistent support for Alternative Energy Storage System design.

Caracterización geométrica y lumínica de los atrios incorporados en los edificios de Santiago de Chile

El atrio incorporado en los edificios ha sido un recurso espacial que tempranamente se difundió a nivel global, siendo adoptado por las distintas arquitecturas locales en gran parte del mundo. Su masificación estuvo favorecida primero por la rápida evolución de la tecnología del acero y el vidrio, a partir del siglo XIX, y en segundo termino por el posterior desarrollo del hormigón armado. Otro aspecto que explica tal aceptación en la arquitectura contemporánea, es de orden social y radica en la llamativa cavidad del espacio describiendo grandes dimensiones y favoreciendo con ello, el desarrollo de una multiplicidad de usos en su interior que antes eran impensados. Al interior del atrio, la luz natural es clave en las múltiples vivencias que alberga y sea tal vez la condición ambiental más valorada, ya que entrega una sensación de bienestar al conectarnos visualmente con el ambiente natural. Por esta razón de acuerdo al método hipotético deductivo, se evaluaron los efectos de la configuración geométrica, la cubierta y la orientación en el desempeño de la iluminación natural en la planta baja, a partir un modelo extraído desde el inventario de los edificios atrio construidos en Santiago de Chile, en los últimos 30 años que fue desarrollado en el capitulo 2. El análisis cuantitativo de los edificios inventariados se elaboró en el capítulo 3, considerando las dimensiones de los atrios. Simultáneamente fueron clasificados los aspectos constructivos, los materiales y las características del ambiente interior de cada edificio. En esta etapa además, fueron identificadas las variables de estudio de las proporciones geométricas de la cavidad del atrio con los coeficientes de aspecto de las proporciones, en planta (PAR), en corte (SAR) y de la cavidad según (WI), (AR) y (RI). Del análisis de todos estos parámetros se extrajo el modelo de prueba. El enfoque del estudio del capítulo 4 fue la iluminación natural, se revisaron los conceptos y el comportamiento en el atrio, a partir de un modelo físico construido a escala para registro de la iluminancia bajo cielo soleado de la ciudad. Más adelante se construyó el modelo en ambiente virtual, relacionando las variables determinadas por la geometría de la cavidad y el cerramiento superior; examinándose de esta manera distintas transparencias, proporciones de apertura, en definitiva se evaluó un progresivo cerramiento de las aberturas, verificando el ingreso de la luz y disponibilidad a nivel de piso con la finalidad, de proveer lineamientos útiles en una primera etapa del diseño arquitectónico. Para el análisis de la iluminación natural se revisaron diferentes métodos de cálculo con el propósito de evaluar los niveles de iluminancia en un plano horizontal al interior del atrio. El primero de ellos fue el Factor de Luz Día (FLD) que corresponde, a la proporción de la iluminancia en un punto de evaluación interior respecto, la cantidad proveniente del exterior bajo cielo nublado, a partir de la cual se obtuvo resultados que revelaron la alta luminosidad del cielo nublado de la ciudad. Además fueron evaluadas las recientes métricas dinámicas que dan cuenta, de la cantidad de horas en las cuales de acuerdo a los extensos registros meteorológico de la ciudad, permitieron obtener el porcentajes de horas dentro de las cuales se cumplió el estándar de iluminancia requerido, llamado autonomía lumínica (DA) o mejor aún se permanece dentro de un rango de comodidad visual en el interior del atrio referido a la iluminancia diurna útil (UDI). En el Capítulo 5 se exponen los criterios aplicados al modelo de estudio y cada una de las variantes de análisis, además se profundizó en los antecedentes y procedencia de las fuentes de los registros climáticos utilizados en las simulaciones llevadas a cabo en el programa Daysim operado por Radiance. Que permitieron evaluar el desempeño lumínico y la precisión, de cada uno de los resultados para comprobar la disponibilidad de iluminación natural a través de una matriz. En una etapa posterior se discutieron los resultados, mediante la comparación de los datos logrados según cada una de las metodologías de simulación aplicada. Finalmente se expusieron las conclusiones y futuras lineas de trabajo, las primeras respecto el dominio del atrio de cuatro caras, la incidencia del control de cerramiento de la cubierta y la relación establecida con la altura; indicando en lo específico que las mediciones de iluminancia bajo el cielo soleado de verano, permitieron aclarar, el uso de la herramienta de simulación y método basado en el clima local, que debido a su reciente desarrollo, orienta a futuras líneas de trabajo profundizando en la evaluación dinámica de la iluminancia contrastado con monitorización de casos. ABSTRACT Atriums incorporated into buildings have been a spatial resource that quickly spread throughout the globe, being adopted by several local architecture methods in several places. Their widespread increase was highly favored, in the first place, with the rapid evolution of steel and glass technologies since the nineteen century, and, in second place, by the following development of reinforced concrete. Another issue that explains this success into contemporary architecture is associated with the social approach, and it resides in the impressive cavity that describes vast dimensions, allowing the development of multiple uses in its interior that had never been considered before. Inside the atrium, daylight it is a key element in the many experiences that involves and it is possibly the most relevant environmental factor, since it radiates a feeling of well-being by uniting us visually with the natural environment. It is because of this reason that, following the hypothetical deductive method, the effects in the performance of daylight on the floor plan were evaluated considering the geometric configuration, the deck and orientation factors. This study was based in a model withdrawn from the inventory of atrium buildings that were constructed in Santiago de Chile during the past thirty years, which will be explained later in chapter 2. The quantitative analysis of the inventory of those buildings was elaborated in chapter 3, considering the dimensions of the atriums. Simultaneously, several features such as construction aspects, materials and environmental qualities were identified inside of each building. At this stage, it were identified the variables of the geometric proportions of the atrium’s cavity with the plan aspect ratio of proportions in first plan (PAR), in section (SAR) and cavity according to well index (WI), aspect ratio (AR) and room index (RI). An experimental model was obtained from the analysis of all the mentioned parameters. The main focus of the study developed in chapter 4 is daylight. The atrium’s concept and behavior were analyzed from a physical model built under scale to register the illuminances under clear, sunny sky of the city. Later on, this physical model was built in a virtual environment, connecting the variables determined by the geometry of the cavity and the superior enclosure, allowing the examination of transparencies and opening proportions. To summarize, this stage consisted on evaluating a progressive enclosure of the openings, checking the access of natural light and its availability at the atrium floor, in an effort to provide useful guidelines during the first stage of the architectural design. For the analysis of natural lighting, several calculations methods were used in order to determine the levels of illuminances in a horizontal plane inside of the atrium. The first of these methods is the Daylight Factor (DF), which consists in the proportion of light in an evaluation interior place with the amount of light coming from the outside in a cloudy day. Results determined that the cloudy sky of the city has high levels of luminosity. In addition, the recent dynamic metrics were evaluated which reflects the hours quantity. According to the meteorological records of the city’s climate, the standard of illuminance- a standard measure called Daylight Autonomy (DA) – was met. This is even better when the results stay in the line of visual convenience within the atrium, which is referred to as Useful Daylight Illuminance (UDI). In chapter 5, it was presented the criteria applied to the study model and on each of the variants of the analysis. Moreover, the information of the climate records used for the simulations - carried out in the Daysim program managed by Radiance – are detailed. These simulations allowed the observation of the daylight performance and the accuracy of each of the results to confirm the availability of natural light through a matrix. In a later stage, the results were discussed comparing the collected data in each of the methods of simulation used. Finally, conclusions and further discussion are presented. Overall, the four side atrium’s domain and the effect of the control of the cover’s enclosure. Specifically, the measurements of the daylight under summer’s clear, sunny sky allowing clarifying the use of the simulation tool and the method based on the local climate. This method allows defining new and future lines of work deepening on the dynamic of the light in contrast with the monitoring of the cases.

Multi-modal object tracking using dynamic performance metrics

Intelligent surveillance systems typically use a single visual spectrum modality for their input. These systems work well in controlled conditions, but often fail when lighting is poor, or environmental effects such as shadows, dust or smoke are present. Thermal spectrum imagery is not as susceptible to environmental effects, however thermal imaging sensors are more sensitive to noise and they are only gray scale, making distinguishing between objects difficult. Several approaches to combining the visual and thermal modalities have been proposed, however they are limited by assuming that both modalities are perfuming equally well. When one modality fails, existing approaches are unable to detect the drop in performance and disregard the under performing modality. In this paper, a novel middle fusion approach for combining visual and thermal spectrum images for object tracking is proposed. Motion and object detection is performed on each modality and the object detection results for each modality are fused base on the current performance of each modality. Modality performance is determined by comparing the number of objects tracked by the system with the number detected by each mode, with a small allowance made for objects entering and exiting the scene. The tracking performance of the proposed fusion scheme is compared with performance of the visual and thermal modes individually, and a baseline middle fusion scheme. Improvement in tracking performance using the proposed fusion approach is demonstrated. The proposed approach is also shown to be able to detect the failure of an individual modality and disregard its results, ensuring performance is not degraded in such situations.

Dynamic stability metrics for the container loading problem

The Container Loading Problem (CLP) literature has traditionally evaluated the dynamic stability of cargo by applying two metrics to box arrangements: the mean number of boxes supporting the items excluding those placed directly on the floor (M1) and the percentage of boxes with insufficient lateral support (M2). However, these metrics, that aim to be proxies for cargo stability during transportation, fail to translate real-world cargo conditions of dynamic stability. In this paper two new performance indicators are proposed to evaluate the dynamic stability of cargo arrangements: the number of fallen boxes (NFB) and the number of boxes within the Damage Boundary Curve fragility test (NB_DBC). Using 1500 solutions for well-known problem instances found in the literature, these new performance indicators are evaluated using a physics simulation tool (StableCargo), replacing the real-world transportation by a truck with a simulation of the dynamic behaviour of container loading arrangements. Two new dynamic stability metrics that can be integrated within any container loading algorithm are also proposed. The metrics are analytical models of the proposed stability performance indicators, computed by multiple linear regression. Pearson’s r correlation coefficient was used as an evaluation parameter for the performance of the models. The extensive computational results show that the proposed metrics are better proxies for dynamic stability in the CLP than the previous widely used metrics.

Dynamic load sharing for heavy vehicles : a new metric

Dynamic load sharing can be defined as a measure of the ability of a heavy vehicle multi-axle group to equalise load across its wheels under typical travel conditions; i.e. in the dynamic sense at typical travel speeds and operating conditions of that vehicle. Various attempts have been made to quantify the ability of heavy vehicles to equalise the load across their wheels during travel. One of these was the concept of the load sharing coefficient (LSC). Other metrics such as the dynamic load coefficient (DLC) have been used to compare one heavy vehicle suspension with another for potential road damage. This paper compares these metrics and determines a relationship between DLC and LSC with sensitivity analysis of this relationship. The shortcomings of these presently-available metrics are discussed with a new metric proposed - the dynamic load equalisation (DLE) measure.

Load-sharing in heavy vehicle suspensions : new metrics for old

Dynamic load sharing can be defined as a measure of the ability of a heavy vehicle multi-axle group to equalise load across its wheels under typical travel conditions; i.e. in the dynamic sense at typical travel speeds and operating conditions of that vehicle. Various attempts have been made to quantify the ability of heavy vehicles to equalise the load across their wheels during travel. One of these was the concept of the load sharing coefficient (LSC). Other metrics such as the dynamic load coefficient (DLC), peak dynamic wheel force (PDWF) and dynamic impact force (DIF) have been used to compare one heavy vehicle suspension with another for potential road damage. This paper compares these metrics and determines a relationship between DLC and LSC with sensitivity analysis of this relationship. The shortcomings of the presently-available metrics are discussed with a new metric proposed - the dynamic load equalisation (DLE) measure.

A dynamic approach for evaluating earthwork hauls in construction

A graph theoretic approach is developed for accurately computing haulage costs in earthwork projects. This is vital as haulage is a predominant factor in the real cost of earthworks. A variety of metrics can be used in our approach, but a fuel consumption proxy is recommended. This approach is novel as it considers the constantly changing terrain that results from cutting and filling activities and replaces inaccurate “static” calculations that have been used previously. The approach is also capable of efficiently correcting the violation of top down cutting and bottom up filling conditions that can be found in existing earthwork assignments and sequences. This approach assumes that the project site is partitioned into uniform blocks. A directed graph is then utilised to describe the terrain surface. This digraph is altered after each cut and fill, in order to reflect the true state of the terrain. A shortest path algorithm is successively applied to calculate the cost of each haul and these costs are summed to provide a total cost of haulage

Online self-supervised multi-instance segmentation of dynamic objects

This paper presents a method for the continuous segmentation of dynamic objects using only a vehicle mounted monocular camera without any prior knowledge of the object’s appearance. Prior work in online static/dynamic segmentation is extended to identify multiple instances of dynamic objects by introducing an unsupervised motion clustering step. These clusters are then used to update a multi-class classifier within a self-supervised framework. In contrast to many tracking-by-detection based methods, our system is able to detect dynamic objects without any prior knowledge of their visual appearance shape or location. Furthermore, the classifier is used to propagate labels of the same object in previous frames, which facilitates the continuous tracking of individual objects based on motion. The proposed system is evaluated using recall and false alarm metrics in addition to a new multi-instance labelled dataset to evaluate the performance of segmenting multiple instances of objects.

A dynamic Web agent for verifying the security and integrity of a Web site's contents

To harness safe operation of Web-based systems in Web environments, we propose an SSPA (Server-based SHA-1 Page-digest Algorithm) to verify the integrity of Web contents before the server issues an HTTP response to a user request. In addition to standard security measures, our Java implementation of the SSPA, which is called the Dynamic Security Surveillance Agent (DSSA), provides further security in terms of content integrity to Web-based systems. Its function is to prevent the display of Web contents that have been altered through the malicious acts of attackers and intruders on client machines. This is to protect the reputation of organisations from cyber-attacks and to ensure the safe operation of Web systems by dynamically monitoring the integrity of a Web site's content on demand. We discuss our findings in terms of the applicability and practicality of the proposed system. We also discuss its time metrics, specifically in relation to its computational overhead at the Web server, as well as the overall latency from the clients' point of view, using different Internet access methods. The SSPA, our DSSA implementation, some experimental results and related work are all discussed

Threshold-Independent QRS Detection Using the Dynamic Plosion Index

Detection of QRS serves as a first step in many automated ECG analysis techniques. Motivated by the strong similarities between the signal structures of an ECG signal and the integrated linear prediction residual (ILPR) of voiced speech, an algorithm proposed earlier for epoch detection from ILPR is extended to the problem of QRS detection. The ECG signal is pre-processed by high-pass filtering to remove the baseline wandering and by half-wave rectification to reduce the ambiguities. The initial estimates of the QRS are iteratively obtained using a non-linear temporal feature, named the dynamic plosion index suitable for detection of transients in a signal. These estimates are further refined to obtain a higher temporal accuracy. Unlike most of the high performance algorithms, this technique does not make use of any threshold or differencing operation. The proposed algorithm is validated on the MIT-BIH database using the standard metrics and its performance is found to be comparable to the state-of-the-art algorithms, despite its threshold independence and simple decision logic.

PriDyn: Enabling Differentiated I/O Services in Cloud Using Dynamic Priorities

Virtualization is one of the key enabling technologies for Cloud computing. Although it facilitates improved utilization of resources, virtualization can lead to performance degradation due to the sharing of physical resources like CPU, memory, network interfaces, disk controllers, etc. Multi-tenancy can cause highly unpredictable performance for concurrent I/O applications running inside virtual machines that share local disk storage in Cloud. Disk I/O requests in a typical Cloud setup may have varied requirements in terms of latency and throughput as they arise from a range of heterogeneous applications having diverse performance goals. This necessitates providing differential performance services to different I/O applications. In this paper, we present PriDyn, a novel scheduling framework which is designed to consider I/O performance metrics of applications such as acceptable latency and convert them to an appropriate priority value for disk access based on the current system state. This framework aims to provide differentiated I/O service to various applications and ensures predictable performance for critical applications in multi-tenant Cloud environment. We demonstrate through experimental validations on real world I/O traces that this framework achieves appreciable enhancements in I/O performance, indicating that this approach is a promising step towards enabling QoS guarantees on Cloud storage.

Quantifying seascape structure: extending terrestrial spatial pattern metrics to the marine realm

Spatial pattern metrics have routinely been applied to characterize and quantify structural features of terrestrial landscapes and have demonstrated great utility in landscape ecology and conservation planning. The important role of spatial structure in ecology and management is now commonly recognized, and recent advances in marine remote sensing technology have facilitated the application of spatial pattern metrics to the marine environment. However, it is not yet clear whether concepts, metrics, and statistical techniques developed for terrestrial ecosystems are relevant for marine species and seascapes. To address this gap in our knowledge, we reviewed, synthesized, and evaluated the utility and application of spatial pattern metrics in the marine science literature over the past 30 yr (1980 to 2010). In total, 23 studies characterized seascape structure, of which 17 quantified spatial patterns using a 2-dimensional patch-mosaic model and 5 used a continuously varying 3-dimensional surface model. Most seascape studies followed terrestrial-based studies in their search for ecological patterns and applied or modified existing metrics. Only 1 truly unique metric was found (hydrodynamic aperture applied to Pacific atolls). While there are still relatively few studies using spatial pattern metrics in the marine environment, they have suffered from similar misuse as reported for terrestrial studies, such as the lack of a priori considerations or the problem of collinearity between metrics. Spatial pattern metrics offer great potential for ecological research and environmental management in marine systems, and future studies should focus on (1) the dynamic boundary between the land and sea; (2) quantifying 3-dimensional spatial patterns; and (3) assessing and monitoring seascape change.