Miracle-dz/UniFAR-FTUs huggingface dataset:
Analisis Performansi Optical Traffic Grooming Dalam Elastic Optical Network Berbasis Ofdm

Kebutuhan masyarakat Indonesia saat ini untuk komunikasi data terus meningkat, Salah satu jaringan komunikasi yang mampu menangani kebutuhan masyarakat akan komunikasi data adalah jaringan komunikasi optic. Umumnya di Indonesia sebagian besar jaringan komunikasi optic menggunakan teknologi WDM. Masalah utama dalam Teknologi WDM optic adalah kurang efisiensinya dalam hal jumlah spektrum slot yang diutilisasi dan transmitter yang digunakan dalam suatu topologi jaringan optic.Untuk menyelesaikan permasalahan ini, digunakan elastic optical network berbasis OFDM. Utilisasi spektrum slot dan transmitter yang digunakan dalam suatu jaringan elastic optical network berbasis OFDM dapat dilihat dengan menggunakan algoritma Integer Linear Programming dengan metode Optical Traffic Grooming . Prinsip algoritma Integer Linear Programming adalah mencari nilai minimal atau maksimal dari suatu parameter berdasarkan constraint yang dibutuhkan, dimana constraint untuk perhitungan Integer Linear Programming ini disesuaikan agar mendukung metode Optical Traffic Grooming . Dipilih total 80 data kandidat jalur hasil algoritma k-shortest path untuk diinisialisasi dalam algoritma ILP, dengan total perbandingan data dalam ILP sebanyak 6080 data, dihasilkan Ctotal = 30400 spektrum slot dengan nilai D sebesar 4 subcarriers. Dan total penggunaan transmitter Ttotal = 5472, jika dibandingkan dengan non grooming penghematan transmitter yang diperoleh adalah 10% dengan nilai D sebesar 4 subcarriers. Kata Kunci : OFDM, Elastic Optical Network, Integer Linear Programming, Traffic Grooming
Brownian bridge with random length and pinning point for modelling of financial information

In this paper, we introduce an extension of a Brownian bridge with a random length by including uncertainty also in the pinning level of the bridge. The main result of this work is that unlike for deterministic pinning point, the bridge process fails to be Markovian if the pining point distribution is absolutely continuous with respect to the Lebesgue measure. Further results include the derivation of formulae to calculate the conditional expectation of various functions of the random pinning time, the random pinning location, and the future value of the Brownian bridge, given an observation of the underlying process. For the specific case that the pining point has a two-point distribution, we state further properties of the Brownian bridge, e.g. the right continuity of its natural filtration and its semi-martingale decomposition. The newly introduced process can be used to model the flow of information about the behaviour of a gas storage contract holder; concerning whether to inject or withdraw gas at some random future time.
COMPARATIVE STUDY OF KSVDD AND FSVM FOR CLASSIFICATION OF MISLABELED DATA

Abstract Outlier detection is the important concept in data mining. These outliers are the data that differ from the normal data. Noise in the application may cause the misclassification of data. Data are more likely to be mislabeled in presence of noise leading to performance degradation. The proposed work focuses on these issues. Data before classifying is given a value that represents its willingness towards the class. This data with likelihood value is then given to classifier to predict the data. SVDD algorithm is used for classification of data with likelihood values.
Effect of Flipped Learning on Cognitive Load: A Higher Education Research

The purpose of this study is to determine the effect of the flipped learning method on the cognitive load of the students. The study was conducted with a sample of 160 people who were trained in Aksaray University's Department of Mechanical Engineering for algorithms and programming courses at a higher education level. The study, which lasted for 8 weeks, has a semi-experimental design. A 9-point scale developed by Paas and Van Merrienboer (1993) was used for cognitive load measurements. At the end of the weekly courses, the scale was filled by the experimental and control groups. Independent sample t test was applied through SPSS 24 program to the obtained data. In both instances, the cognitive load in the experimental group in which the flipped learning method was applied was found to be lower than the cognitive load in the control group in which traditional face-to-face training was applied. As a result, it can be said that flipped learning, if well structured, is a method reducing cognitive load. RECEIVED 2 January 2017, REVISED 10 January 2017, ACCEPTED 12 January 2017
Learning transformation invariance for pairwise image matching

Image matching is a fundamental problem in computer vision. In this thesis, we address the image matching problem as learning and classifying correspondences. More precisely, we formulate the image matching problem as: given a set of training pairs of images that implicitly captures the transformation(with both positive and negative classes), identify if a new pair of test images is matched via the transformation class. In this formulation, all the training data, as well as test data, are image pairs. The approach taken is to consider only relative visual content, rather than absolute visual content, so the learned image matching classifier could be applied to images of totally different visual content as compared to the training data. This is in contrast to appearance-based object detection methods, for which once the training process is completed, the classifiers may only be used to recognize objects of the same categories with the training images. The same problem formulation is adopted throughout the thesis, but three different approaches are proposed to deal with three different classes of transformations. The first transformation class involves low distortion transformations. We address the image matching problem under this transformation class by learning a parametric feature distance measure to measure the dissimilarity between pairs of images. The method is based on optimizing the parameters of the distance measure in order to minimize correspondence classification errors on training data. Results on matching classification with a wide variety of image content show that the learnt feature distance measure clearly outperforms the standard measures of SSD, chamfer and Bhattacharyya histogram distances. The second transformation class involves the heavy distortion, correspondence preserving transformations. We propose a framework that learns how image feap ATTENTION: The Singapore Copyright Act applies to the use of this document. Nanyang Technological University Library
The Mechanisms of Coastal Erosion in Northeast Bali

Marine tourism sector in the Northeast Bali, Indonesia, experienced rapid development in the last decades. However, severe coastal erosion in some parts of the area has threaten the industry. Unsuccessful mitigation measures have been carried out by authorities by constructing seawalls along the coastline. The objective of the study is to understand the physical processes related to coastal erosion in the area and to assess the effectiveness of seawall along the coastline. To achieve the objectives, a GIS approach was carried out to investigate general changes of the coastline since 1944 until 2013. Hydrodynamics analyses and sediment transport simulations were also conducted and validated by the data from field measurements. The role of Mount Agung (a volcanic mountain) to the coastal dynamic system was also investigated. Moreover, the data from cGPS measurements in the island were also used for the analysis of possible land subsidence in the area. From social aspects, the history of USAT Liberty Shipwreck in Tulamben Village supports the analyses and provides information on the evolution of coastline in the area. We conclude that coastal erosion in North-east Bali has long been occurred and strongly affected by the dynamics of hydro-oceanography, volcanic activities, geological dynamics, and human interferences. Finally, the mechanism of coastal erosion in the area was also proposed.
Modele symulacyjne do szacowania wskaźników niezawodności strukturalnej systemów elektroenergetycznych tworzone na bazie kart graficznych

An algorithmic simulation model of operation for two elements of a power system with the usage of the graphics processing unit (GPU) based on the C++ AMP is implemented. It allows to increase the performance of calculations by the parallel use of several hundred GPU cores compared with several cores of central processing unit (CPU). The test results for the simulation model are presented. (Modelling of the electric power system elements operation in terms of reliability with the usage of graphics processing unit). Słowa kluczowe: GPGPU, symulacja równoległa, C++ AMP, model Markowa.
Reliability Evalution with Effefts on System Parameters Incorporating Facts Devices

A modern power system is highly integrated and is usually very large and complex. The power systems which are having shortage of reactive power due to fault or heavy load on it, experiences a voltage collapse. So reserve source of reactive power is required for the stable operation of power system FACTs devices can be used for reactive power management and it is having significant impacts on reliability evaluation of composite power system. Under such circumstances, load shedding is usually last option used to avoid voltage collapse condition. This paper suggests a model to evaluate reliability indices incorporating SVC and TCSC with fuzzy penalty using GA based priority load curtailment. A comparative study is done for the results obtained using SVC and TCSC with and without fuzzy penalty. The proposed algorithms are tested on WSCC RBTS and 24 Bus – IEEE reliability test system.
Hatay, Burnaz Kıyı Kumulları Alan Kullanım Değişimlerinin Uzaktan Algılama Yöntemi ile Belirlenmesi

In this study, land use/land cover (LU/LC) changes and impacts of changes on coastal zone were investigated in the example of Burnaz coastal dunes. The LU/LC changes between 1972 and 2000 were determined using aerial photos and satellite images. The land cover types and coverage in 1972 was delineated by using digitized monoscopic, black-white aerial photographs the current land cover statistics were derived from supervised classification of Landsat ETM+ imagery acquired in 2000. Maximum Likelihood classifier was used to produce land cover map. Coastal sand dunes, dune vegetation and agricultural areas increased by 67%, 85%, 12% respectively whereas bulrush coverage decreased 57% between 1972 and 2000. There is a significant increase in the areal extent of summer resorts which is as large as 10 times.
AI planning-based approach of attack graph generation

Attack graphs can reveal the vulnerabilities and threats in enterprise network.The model for generating attack graphs was described in PDDL(planning domain definition language),and a novel planner was proposed to generate attack graphs.Furthermore,based on the monotonicity hypothesis,a new planner was designed.In the simulating test,the generation of attack graphs cost less than 10 minutes.The results prove that it can be widely used in large scale enterprise network.
Coupling GPS and GIS

Since the 1990s, the integration of GPS and GIS has become more and more popular and an industry standard in the GIS community worldwide. The increasing availability and affordability of mobile GIS and GPS, along with greater data accuracy and interoperability, will only ensure steady growth of this practice in the future. This chapter provides a brief background of GPS technology and its use in GIS, and then elaborates on the integration techniques of both technologies within their limitations. It also highlights data processing, transfer, and maintenance issues and future trends of this integration. DOI: 10.4018/978-1-4666-2038-4.ch011
Advance in research on immune algorithms

The development and principle of immune algorithms are summarized. The advantages and disadvantages of various design methods for immune algorithms are compared and classification of immune algorithms is discussed. Moreover, the immune algorithm is analyzed on workflow, simulation, complexity, parameter settings, life cycle and scale of traditional computation, and problems of immune algorithms are discussed from views of natural (computation.) Some application examples are given. Disadvantages, difficulties and creation points in developing (immune) algorithm are studied, and some prospects of immune algorithm are made on development emphasis and (future) applications.
Constrained control design via a simulation-based scenario approach

This paper deals with constrained control design for linear systems affected by stochastic disturbances. The goal is to optimize the control performance while guaranteeing that the constraints are satisfied for most of the disturbance realizations, that is with probability 1 − . In mathematical terms, this amounts to solve a “chance-constrained” optimization program and we introduce here a randomized approach to this problem that builds on certain recent results in robust convex optimization.
Two parallel magmatic belts with contrasting isotopic characteristics from southern Tibet to Myanmar: zircon U–Pb and Hf isotopic constraints

Before the India–Asia collision, Neotethyan subduction gave rise to an Andean-type convergent margin on the southern margin of Asia. To investigate the spatial and temporal distribution of the subduction-related magmatism, we undertook a combined determination of zircon U–Pb ages and Hf isotopes of Mesozoic to Paleogene intrusive and volcanic rocks from southern Tibet to Myanmar to characterize the two parallel magmatic belts that have previously been considered separately. One belt extends from the Gangdese Batholith in the Southern Lhasa sub-terrane to the Lohit Batholith, the Sodon Pluton and the Popa–Loimye Arc in the West Burma Block, and the other from the Central Lhasa Plutonic Belt to the Bomi–Chayu Batholith, the Dianxi Batholith and the Shan Scarps Batholith in central Myanmar. The Gangdese belt, as the main arc component, consists typically of I-type granitoids that contain magmatic zircons showing positive εHf(t) values. In contrast, the Central Lhasa Plutonic Belt belt is dominated by S-type granites in which most zircons show negative εHf(t) values suggesting the involvement of older continental crust in their petrogenesis. The distinct geochemical characteristics indicate not only distinct tectonic settings of their genesis but also the diverse nature of the crust forming the exotic continental ribbons amalgamated to Asia. Supplementary material: Details of sample locations and analytical results are available at: https://doi.org/10.6084/m9.figshare. c.4311485
Assessment of time of emergence of anthropogenic deoxygenation and warming: insights from a CESM simulation from 850 to 2100 CE

Abstract. Marine deoxygenation and anthropogenic ocean warming are observed and projected to intensify in the future. These changes potentially impact the functions and services of marine ecosystems. A key question is whether marine ecosystems are already or will soon be exposed to environmental conditions not experienced during the last millennium. Using a forced simulation with the Community Earth System Model (CESM) over the period 850 to 2100, we find that anthropogenic deoxygenation and warming in the thermocline exceeded natural variability in, respectively, 60 % and 90 % of total ocean area. Control simulations are typically used to estimate the pre-industrial variability level. However, the natural variability of oxygen (O2) and temperature (T) inferred from the last millennium period is systematically larger than the internal variability simulated in the corresponding control simulation. This renders natural variability from control simulations to be biased towards low estimates. Here, natural variability is assessed from the last millennium period (850–1800 CE), thus considering the response to forcing from explosive volcanic eruptions, solar irradiance and greenhouse gases in addition to internal, chaotic variability. Results suggest that in the tropical thermocline, where biological and solubility-driven O2 changes counteract each other, anthropogenic changes in apparent oxygen utilisation (AOU) and in O2 solubility (O2,sol) are detectable earlier than O2 changes. Both natural variability and change in AOU are predominantly driven by variations in circulation with a smaller role for productivity. By the end of the 21st century, ventilation becomes more vigorous in the tropical thermocline, whereas ideal age in deep waters increases by more than 200 years relative to the pre-industrial period. Different methodological choices are compared and the time for an anthropogenic signal to emerge (ToE) is earlier in many thermocline regions when using variability from a shorter period, from the control simulation or estimates from the industrial period instead of the variability from the last millennium. Our results highlight that published methods may lead to deviations in ToE estimates, calling for a careful quantification of variability. They also highlight that realised anthropogenic change exceeds natural variations in many regions.
New ways of analysing ESL on the WWW with WebCorp and WebPhraseCount

This volume is witness to a spirited and fruitful period in the evolution of corpus linguistics. In twenty-two articles written by established corpus linguists, members of the ICAME (International Computer Archive of Modern and Mediaeval English) association, this new volume brings the reader up to date with the cycle of activities which make up this field of study as it is today, dealing with corpus creation, language varieties, diachronic corpus study from the past to present, present-day synchronic corpus study, the web as corpus, and corpus linguistics and grammatical theory. It thus serves as a valuable guide to the state of the art for linguistic researchers, teachers and language learners of all persuasions. After over twenty years of evolution, corpus linguistics has matured, incorporating nowadays not just small, medium and large primary corpus building but also specialised and multi-dimensional secondary corpus building; not just corpus analysis, but also corpus evaluation; not just an initial application of theory, but self-reflection and a new concern with theory in the light of experience. The volume also highlights the growing emphasis on language as a changing phenomenon, both in terms of established historical study and the newer short-range diachronic study of 20th century and current English; and the growing area of overlap between these two. Another section of the volume illustrates the recent changes in the definition of ‘corpus’ which have come about due to the emergence of new technologies and in particular of the availability of texts on the world wide web. The volume culminates in the contributions by a group of corpus grammarians to a timely and novel discussion panel on the relationship between corpus linguistics and grammatical theory.
Age, origin and palaeogeography of the Southern Irumide Belt, Zambia

The Southern Irumide Belt (SIB) records over one and a half billion years (c. 2000–500 Ma) of tectonic evolution along the southern Congo Craton margin. To understand this evolution we present U–Pb, Lu–Hf, REE zircon and structural data for the SIB of Zambia, which are used to investigate its formation, evolution and relationship to the Irumide Belt of the southern Congo Craton. Orthogneiss in the Chewore–Rufunsa and Chipata terranes yields ages between c. 2040 and 2000 Ma. This implies the presence of Paleoproterozoic basement throughout the SIB, similar to basement rocks within the Irumide Belt. Detrital zircon data from the Chipata Terrane yield age populations and εHf(t) values that are equivalent to those for samples from other SIB terranes and the Irumide Belt. The similarities between basement units and overlying sedimentary sequences in the SIB and Irumide Belt indicate that the SIB formed an integral part of the southern Congo margin since the Paleoproterozoic, rather than accreting to this margin during the late Mesoproterozoic. Subsequent structural deformation in this region occurred as two phases, a north–south-directed compression during the late Neoproterozoic to Cambrian, and a weaker east–west-directed compression during the Phanerozoic. Supplementary material: Sample locations and descriptions, including descriptions of zircon morphologies and cathodoluminescence characteristics (accompanied by images), U–Pb, Lu–Hf and REE zircon data (including diagrams) for all unknowns and reference materials, as well as whole-rock geochemical data (including diagram) for granites of the Nyimba–Sinda Terrane are available at: https://doi.org/10.6084/m9.figshare. c.4386344
CO2 saturation estimates at Sleipner (North Sea) from seismic tomography and rock physics inversion

CO2 saturations are estimated at Sleipner using a two‐step imaging workflow. The workflow combines seismic tomography (full‐waveform inversion) and rock physics inversion and is applied to a two‐dimensional seismic line located near the injection point at Sleipner. We use baseline data (1994 vintage, before CO2 injection) and monitor data that was acquired after 12 years of CO2 injection (2008 vintage). P‐wave velocity models are generated using the Full waveform inversion technology and then, we invert selected rock physics parameters using an rock physics inversion methodology. Full waveform inversion provides high‐resolution P‐wave velocity models both for baseline and monitor data. The physical relations between rock physics properties and acoustic wave velocities in the Utsira unconsolidated sandstone (reservoir formation) are defined using a dynamic rock physics model based on well‐known Biot–Gassmann theories. For data prior to injection, rock frame properties (porosity, bulk and shear dry moduli) are estimated using rock physics inversion that allows deriving physically consistent properties with related uncertainty. We show that the uncertainty related to limited input data (only P‐wave velocity) is not an issue because the mean values of parameters are correct. These rock frame properties are then used as a priori constraint in the monitor case. For monitor data, the Full waveform inversion results show nicely resolved thin layers of CO2–brine saturated sandstones under intra‐reservoir shale layers. The CO2 saturation estimation is carried out by plugging an effective fluid phase in the rock physics model. Calculating the effective fluid bulk modulus of the brine–CO2 mixture (using Brie equation in our study) is shown to be the key factor to link P‐wave velocity to CO2 saturation. The inversion tests are done with several values of Brie/patchiness exponent and show that the CO2 saturation estimates are varying between 0.30 and 0.90 depending on the rock physics model and the location in the reservoir. The uncertainty in CO2 saturation estimation is usually lower than 0.20. When the patchiness exponent is considered as unknown, the inversion is less constrained and we end up with values of exponent varying between 5 and 20 and up to 33 in specific reservoir areas. These estimations tend to show that the CO2–brine mixing is between uniform and patchy mixing and variable throughout the reservoir.