ESO Very Large Telescope optical spectroscopy of BL Lacertae objects. II. New redshifts, featureless objects, and classification assessments

We report on ESO Very Large Telescope optical spectroscopy of 42 BL Lacertae objects of unknown redshift. Nuclear emission lines were observed in 12 objects, while for another six we detected absorption features due to their host galaxy. The new high S/N spectra therefore allow us to measure the redshift of 18 sources. Five of the observed objects were reclassified either as stars or quasars, and one is of uncertain nature. For the remaining 18 the optical spectra appear without intrinsic features in spite of our ability to measure rather faint (EW nearly 0.1 Angstrom) spectral lines. For the latter sources a lower limit to the redshift was set exploiting the very fact that the absorption lines of the host galaxy are undetected on the observed spectra.Comment: 33 pages, 11 figures, accepted for publication on A

Data Fusion of Laser Range Finder and Video Camera

For this project, a technique of fusing the data from sensors are developed in order to detect, track and classify in a static background environment. The proposed method is to utilize a single video camera and a laser range finder to determine the range of a generally specified targets or objects and classification of those particular targets. The module aims to acquire or detect objects or obstacles and provide the distance from the module to the target in real-time application using real live video. The proposed method to achieve the objective is using MATLAB to perform data fusion of the data collected from laser range finder and video camera. Background subtraction is used in this project to perform object detection

Economic contents of the concept “Venture activity”, its subjects, objects and classification

Annotation. Venture activity is an effective instrument for the economical innovative development that allows minimizing risks and strengthening the competitive position of a commodity producer. Progress of venture activity depends on scientific achievements, free invention capital availability and the state of account in the industry. Thus, venture activity is the basis for the creation and existence of risky innovative projects

Economic contents of the concept “Venture activity”, its subjects, objects and classification

Annotation. Venture activity is an effective instrument for the economical innovative development that allows minimizing risks and strengthening the competitive position of a commodity producer. Progress of venture activity depends on scientific achievements, free invention capital availability and the state of account in the industry. Thus, venture activity is the basis for the creation and existence of risky innovative projects

Сутність адміністративного права за новою класифікацією юриспруденції

На основі новітніх підходів до розумінні завдань, об’єктів і класифікації юридичних наук запропонована перспектива розвитку адміністративного права і процесу, які повинні трансформуватися в нові юридичні науки: базисноантиделыктне «Адміністра­тивне право України», процедурне «Админо­регламентное право України» та у низку регулятивних юридичних наук, а також розробити Адміністративний кодекс України, Адміно-регламентній кодекс України, відповідні регулятивні кодекси.На основе новейших подходов к понимании задач, объектов и классификации юридических наук предложена перспектива развития административного права и процес­са, которые должны трансформироваться в новые юридические науки: базисноанти­деликтное «Административное право Украины», процедурное «Админо­регламентное право Украины» и ряд регулятивных юридических наук, а также разработать Административный кодекс Украины, Админо-регламентный кодекс Украины, соответствую­щие регулятивные кодексы.On the basis of the newest fittings to for understanding of tasks, objects and classification of legal sciences the prospect of development of administrative law and process is offered, which must be transformed in new legal sciences: basisuntidelictical the «Administrative law of Ukraine», procedural «Administrative-reglamental law of Ukraine» and the row of regulative legal sciences, and also to develop the Administrative code of Ukraine, Administrative­-reglamental code of Ukraine, proper regulative codes

Сутність адміністративного права за новою класифікацією юриспруденції

На основі новітніх підходів до розумінні завдань, об’єктів і класифікації юридичних наук запропонована перспектива розвитку адміністративного права і процесу, які повинні трансформуватися в нові юридичні науки: базисноантиделыктне «Адміністра­тивне право України», процедурне «Админо­регламентное право України» та у низку регулятивних юридичних наук, а також розробити Адміністративний кодекс України, Адміно-регламентній кодекс України, відповідні регулятивні кодекси.На основе новейших подходов к понимании задач, объектов и классификации юридических наук предложена перспектива развития административного права и процес­са, которые должны трансформироваться в новые юридические науки: базисноанти­деликтное «Административное право Украины», процедурное «Админо­регламентное право Украины» и ряд регулятивных юридических наук, а также разработать Административный кодекс Украины, Админо-регламентный кодекс Украины, соответствую­щие регулятивные кодексы.On the basis of the newest fittings to for understanding of tasks, objects and classification of legal sciences the prospect of development of administrative law and process is offered, which must be transformed in new legal sciences: basisuntidelictical the «Administrative law of Ukraine», procedural «Administrative-reglamental law of Ukraine» and the row of regulative legal sciences, and also to develop the Administrative code of Ukraine, Administrative­-reglamental code of Ukraine, proper regulative codes

The Data Big Bang and the Expanding Digital Universe: High-Dimensional, Complex and Massive Data Sets in an Inflationary Epoch

Recent and forthcoming advances in instrumentation, and giant new surveys, are creating astronomical data sets that are not amenable to the methods of analysis familiar to astronomers. Traditional methods are often inadequate not merely because of the size in bytes of the data sets, but also because of the complexity of modern data sets. Mathematical limitations of familiar algorithms and techniques in dealing with such data sets create a critical need for new paradigms for the representation, analysis and scientific visualization (as opposed to illustrative visualization) of heterogeneous, multiresolution data across application domains. Some of the problems presented by the new data sets have been addressed by other disciplines such as applied mathematics, statistics and machine learning and have been utilized by other sciences such as space-based geosciences. Unfortunately, valuable results pertaining to these problems are mostly to be found only in publications outside of astronomy. Here we offer brief overviews of a number of concepts, techniques and developments, some "old" and some new. These are generally unknown to most of the astronomical community, but are vital to the analysis and visualization of complex datasets and images. In order for astronomers to take advantage of the richness and complexity of the new era of data, and to be able to identify, adopt, and apply new solutions, the astronomical community needs a certain degree of awareness and understanding of the new concepts. One of the goals of this paper is to help bridge the gap between applied mathematics, artificial intelligence and computer science on the one side and astronomy on the other.Comment: 24 pages, 8 Figures, 1 Table. Accepted for publication: "Advances in Astronomy, special issue "Robotic Astronomy