Miracle-dz/UniFAR-FTUs huggingface dataset:
PENGUJIAN EKSISTENSI ANOMALI WINNER-LOSER SAHAM INDUSTRI MANUFAKTUR DI PT. BURSA EFEK INDONESIA

Salah satu anomali yang bertentangan dengan efisiensi pasar modal adalah anomali winner-loser. Penyebab anomali winner-loser adalah overreaction hipotesis. Anomali winner-loser telah mempopulerkan penerapan strategi investasi contrarian. Tujuan penelitian ini untuk menganalisis eksistensi anomali winner-loser saham industri manufaktur di BEI. Jenis data yang digunakan adalah data sekunder. Metode pengumpulan data menggunakan metode observasi non-prilaku. Teknik analisisnya menggunakan teknik analisis data uji beda dua rata-rata (uji T-Paired) dengan bantuan Program SPSS. Simpulan yang dapat diambil dari penelitian ini adalah kecenderungan terjadi anomali winner-loser saham industri manufaktur di pasar modal Indonesia. Key words : winner, loser, actual return, market return dan ACAR portofolio winner-loser.
Experimental Behaviour of Fiber Reinforced Reactive Powder Concrete

In this paper various mix proportions of Reactive Powder Concretes were formulated using ordinary Portland cement, Fly ash, Micro silica, Silica Fume, Quartz powder etc and these concretes were subjected to strength test. The best mix was selected for further in depth study with fibers like Sisal fiber, Coir fiber, Hair fiber and Polypropylene fiber mixed Reactive Powder Concrete and the various tests have been performed Cube Compressive strength, Cylinder Compressive strength, Flexural strength, Split Tensile strength, Shear test, Water absorption, Sorptivity and Chloride diffusion etc. As a result, fiber incorporated concrete shows increasing Flexural strength, splitting tensile strength, and shear strength up to 30% as compared to control RPC and gives minimal decrease in compressive strength by the addition of fibers. These characteristics make it as a promising material for casting non structural elements such as pressure pipes, flooring tiles, Partition panels, door and window frames. It can also be used as repair materials.
Predicting Top- ${L}$ Missing Links: An Improved Local Naïve Bayes Model

The problem of link prediction has captured considerable attention from various disciplines due to its wide range of applications. A multitude of link prediction methods have been proposed with various techniques. The local Naïve Bayes (LNB) model is an effective one, which discriminates the contribution of different common neighbors by a role function. This paper proposes a new link prediction method, which further enhances the accuracy of the LNB model by considering the local community links and the degree of seed nodes. The experimental results on 12 real-world networks demonstrate that the proposed method outperforms the compared methods in the top- $L$ link prediction task.
Power Flow and Contingency Assessment of the Existing 330kV Nigeria Power Grid to Cope With The Proposed Increase In Power Generation in 2014

Received Jun 12 th , 201x Revised Aug 20 th , 201x Accepted Aug 26 th , 201x The power flow and contingency assessment of the existing 330kV Nigeria power grid was carried out using Newton-Raphson method in Matlab program with a view of ascertaining its capability to cope with the anticipated increase in generation to and above 10,000 MW come 2014. The simulation results of the 330kV grid indicate its reliability at a maximum allowable generation capacity of 5,522 MW without intolerable voltage and thermal violations. Violation limits employed are ±5% of base voltage 330kV (0.95 – 1.05) p.u. and 760MVA for thermal limits. The results also revealed the critical nature and importance of some buses like Ikeja-West, Shiroro, Oshogbo, Benin and their corresponding lines to the performance of the existing national 330kV power grid. Keyword:
Design and construction of an autonomous ornithopter

In recent years the subject of flying vehicles propelled by flapping wings, also known as ornithopters, has been an area of interest because of its application to micro aerial vehicles (MAVs). These miniature vehicles seek to mimic small birds and insects to achieve never before seen agility in flight. This renewed interest has raised a host of new problems in vehicle dynamics and control to explore. In order to better study the control of flapping wing flight we have developed a large scale ornithopter called the Phoenix. It is capable of carrying a heavy (400 gram) computer and sensor package and is designed specially for the application of controls research. The design takes special care to optimize payload capacity, crash survivability, and field repair abilities. This thesis covers the design process of both the mechanical and electrical systems of the ornithopter and initial control experiments. We also show that it is possible to stabilize the machine in pitch with a simple PD controller through experimental testing. Thesis Supervisor: Russell Louis Tedrake Title: Assistant Professor
A REVIEW OF WIDEBAND AMBIGUITY FUNCTIONS

Abstract : The wideband ambiguity function considers the actual time compression or expansion of the Doppler effect, rather than the frequency-shift approximation of narrowband function. The wideband ambiguity function has been derived and its properties reviewed, including comparisons with those of the narrowband function. The significance of the difference between the two functions can be shown to depend on the product of signal duration, signal bandwidth, and target velocity.
Deep Convolutional Networks based on encoder-decoder architecture for automatic Optic Disc segmentation in retina images

Currently, deep convolutional neural networks (CNNs), are the latest methods applied to modern computer vision research technology. There are numerous architectures attributed to convolutional neural networks, based on deep learning methods applied to modern computer vision technology some of which are used for image segmentation; such as Fully Convolutional Networks (FCN), U-net, and LinkNet. In the scope of this study, we focused on the architectures of convolutional neural networks in particular. We present this architecture, and how it can be used for Image Segmentation. The novel model is presented to an automatic segmentation of the Optic Disc from retinal images. We use the Indian Diabetic Retinopathy Image Dataset (IDRiD) as dataset, our proposed CNN model based on an encoder-decoder model, this concept was adopted from the U-net architecture. The idea consists to apply other encoder-decoder levels in order to get more feature maps. The model was implemented with keras in python. We also implement other models such as FCN and U-net to compare their results. A brief description of the proposed model, training with data augmentation, validation and predictions are given. In the end we conclude that adding some levels on original architecture achieves a better result. Finally, an overview is given of future usage of convolutional neural networks for image segmentation problems in medical imaging contexts and the challenges involved therein.
Effects of a Cooperative Variable Speed Limit System on Traffic Performance and Exhaust Emissions

Variable Speed Limit Systems (VSLS) where variable message signs show speed limits based on traffic or road conditions exist on motorways in many countries. The purpose of the VSLS is to decrease the number of accidents while increasing efficiency of traffic system. Cooperative systems are a type of intelligent transport system that has received increasing interest lately. The central part of a cooperative system is communication between vehicles and/or vehicles and the infrastructure. In this paper, a cooperative systems extension of a VSLS is proposed and evaluated by means of microscopic traffic simulation. In the proposed cooperative VSLS, communication between the vehicles and the infrastructure is made available via a roadside unit communicating the speed limits to vehicles upstream on the road. Both aggregate and micro-scale emission models are used to estimate emission from vehicle states in traffic flow. The results of the study show that the cooperative VSLS has a potential to contribute to flow harmonization and to reduce environmental impacts. The emission estimates in the study are dependent on the emission models being applied.
Designing a mobile internet

This paper outlines the next major evolution of the Internet architecture, where support for mobility is not the exception but the typical case. We show which parts of the Internet architecture needs to be extended, how they interact, and why they are needed. We point out the suitability of especially license free radio access equipment not only technically, but as a well harmonizing piece in the non-centralized and distributed way that Internet grows.We show that a wired Internet supporting mobility drastically changes the market situation in the mobile and wireless sector, possibly to a level where special mobile operators are not needed. We show that this leads to a situation where wireless and mobile access is just as inexpensive as its wired counterpart.The plans outlined here are pursued at the Center for Distance-spanning technology within the project called The RadioSphere.
Hypothesize-and-verify based solutions for place recognition and mobile robot self-localization in interior hallways

Ahmad Yousef, Khalil M. Ph.D., Purdue University, December 2013. Hypothesize-andVerify Based Solutions for Place Recognition and Mobile Robot Self-Localization in Interior Hallways. Major Professors: Avinash C. Kak and Johnny Park. There is much research interest currently in having mobile robots build accurate and visually dense models of interior space as they traverse through such spaces. One of the interesting problems that has came out of this research is that of visual place recognition and self-localization. This is the problem that forms the focus of the present dissertation. We show how dense and accurate 3D models of the interior space can be constructed using a hierarchical sensor-fusion architecture. Our system fuses images from a single photometric camera with range data from a laser scanning sensor. The range data used is rudimentary — the range measurements are line scans just a few inches above the floor to estimate the positions and the orientations of the hallway walls. This dissertation also proposes two hypothesize-and-verify matching frameworks for the problem of place recognition and robot self-localization using the information contained in the constructed models: (1) A framework using a new type of image features that we call 3D-JUDOCA. We derive these features from stereo imagery and show that they possess superior viewpoint invariance compared to other similar features. We organize these features in a data structure, which we call the Feature Cylinder, for low-order polynomialtime verification of localization hypotheses. And (2) A signature-based hypothesize-andverify framework in which the signatures are derived from the 3D-JUDOCA features. We present a criterion for selecting the best signatures for hypothesis generation and hypothesis verification. The second approach allows the robot to carry out place recognition and selflocalization in constant time. We provide extensive experimental evidence to demonstrate the usefulness of both these frameworks.
Business Acceptance of Information and Communication Technologies: an Study of the Service Sector

The aim of this paper is to analyse the level of development reached by some Information and Communication Technologies (ICT) such as web pages, e-mail, EDI, and business management software in the business world. To this end, we have concentrated on the business behaviour of the service sector. Nevertheless, the technological development demanded changes depending on the activity of the firm, so the mediator effect of the industry has been tested in the process of innovation acceptance. Our results show the technology acceptance process is influenced by the perception of both the usefulness and the ease of use of innovations. Moreover, the industry effect mediates the technological behaviour of a firm; meanwhile, if a firm performs a "traditional activity", there are fewer incentives to implement the innovation.
Exploration of Factors Influencing the Customer Satisfaction of E-Commerce: A Study Based on Website Features

This study has the hypotheses of the factors influencing customer satisfaction of the website features and model, and uses AMOS 7.0 structural equation analysis to process questionnaire data. According to the path coefficients of structure model and the indices of fit that verify the hypotheses, this study reaches a conclusion that the factors affect customer satisfaction of e-commerce mainly contain website economy, website security, website informative, followed by the convenience and website interactivity, and website popularity and entertainment has little impact on customer satisfaction. Most of the hypotheses of this study are supported by empirical research. And the conceptual model that customer satisfaction of e-commerce is decided by the website service quality consumers perceived and customers expectations is set up.
LoRa PHY Range Tests and Software Decoding - Physical Layer Security

LoRa (Long Range) is a recently created patented physical layer protocol for small, low power devices. Networks are being deployed worldwide as LoRa WAN (link layer). The attack surface is growing. This research paper begins by performing range tests of a consumer module physical (PHY) layer. Depending on the settings, up to 5 Km was achieved to transmit a frame – at the expense of speed. 1 Km was achieved at a more reasonable rate. Along the way, how inexpensive RTL-SDR (software defined radio) was used to record raw transmissions from the official PHY module. These transmissions were then attempted (and successfully) demodulated and decoded using GNU Radio and the experimental gr-lora out-of-tree module from Bastille Research. Some common radio vulnerabilities are also discussed in relationship with LoRa.
Outcomes and Quality of Recovery at One Year Following Percutaneous Coronary Intervention for ST Elevation Myocardial Infarction in Sri Lanka

Background . Long term quality of recovery following percutaneous coronary intervention in Sri Lanka are unknown. We evaluated quality of recovery at one year, compliance with secondary prevention medications and access to and uptake of cardiac rehabilitation services. Methods . The GRACE Risk Model was used to compare predicted and actual mortality at hospital discharge and at one-year. Quality of recovery was assessed by the Seattle Angina Questionnaire. Compliance with secondary prevention therapy was assessed using international guidelines. Access to cardiac rehabilitation was assessed via telephone- administered interview. Results . Between April 2017 and March 2018, 699 consecutive patients underwent percutaneous coronary intervention. Mortality at one year was 13.6% (93); predicted mortality was (4.5–11%). Functional activity was significantly worse at one year 64.4 (75.6–55.6) compared to pre-admission (100, 100 − 84.4) (P-value < 0.01). Frequency of angina was greater at one year (80, IQR = 100 − 60), compared with 1-month post-discharge (100[IQR = 100 − 80], P-value < 0.01). Stability of angina remained unchanged (median[IQR] = 72[100 − 50]). Patients’ perceptions of treatment satisfaction were high (P-value < 0.01), disease perceptions worsened (P-value < 0.01). Self-perceived compliance with secondary prevention therapy ranged from 75%-82%. Of the 362 patients followed up 146 (44.5%) reported being offered the opportunity to attend cardiac rehabilitation; 128 (87.7%) attended. Conclusions . Outcomes at one year were poorer than expected. Patient-reported levels of satisfaction were high, despite worsening burden of symptoms. Research is needed to better understand patients' expectations of quality of acute myocardial infarction care.
GaN HEMT with AlGaN back barrier for high power MMIC switch application

0.25 μm GaN HEMT with AlGaN back barrier for high power switch application has been presented. By introducing AlGaN back barrier, the buffer layer breakdown voltage for the metal-organic chemical vapor deposited AlGaN/GaN hetero-structure on 3-inch SiC substrate showed a considerable increment, which was nearly 4× and 2× of that for the conventional GaN buffer layer and GaN buffer layer with Fe doped, respectively. GaN switch HEMTs with source to drain spacing of 2, 2.5, 3, 3.5 and 4 μm were fabricated on the AlGaN/GaN epitaxial material with AlGaN back barrier and estimated off state power handling for the GaN switch HEMTs were 25.0, 46.2, 64.0, 79.2, and 88.4 W, respectively. A demonstrator DC-12 GHz GaN SPDT MMIC switch was designed in reflective series-shunt-shunt configuration based on the GaN HEMT, with a source to drain spacing of 2.5 μm. The developed SPDT MMIC switch showed a maximum insertion loss of 1.0 dB and a minimum isolation of 30 dB at a frequency range of DC-12 GHz. A power handling capability of 44.1 dBm was achieved at 10 GHz for the MMIC switch with continuous wave power compression measurement.
Modal-space control of flexible intelligent truss structures via Modal Filters

A global control strategy based on Independent Modal Space Control (IMSC) and optimal control theory is employed to enhance damping of intelligent truss structures with piezoelectric active members. Modal Filters (MF) are used to extract modal response from actual measurements for the modes targeted for control in the modal-space. The sensors and active members are optimally placed to minimize the condition number of a matrix formed from the frequency response functions, and control efforts, respectively. A modified Luenberger observer is adopted to estimate modal displacement and modal velocity from acceleration measurements. Then a real-time PC based digital control system is developed to implement the proposed control strategy. Experimental results demonstrate that the modal-space control scheme is effective.
Condition monitoring benefit for onshore wind turbines: sensitivity to operational parameters

The economic case for condition monitoring (CM) applied to wind turbines is currently not well quantified and the factors involved are not fully understood. In order to make more informed decisions regarding whether deployment of CM for wind turbines is economically justified, a refined set of probabilistic models capturing the processes involved are presented. Sensitivity of the model outputs with respect to variables of interest are investigated within the bounds of published data and expert opinion. The results show that the levels of benefit are dependent on a variety of factors including wind profile, typical downtime duration and wind turbine sub-component replacement cost.
Hybrid Point Cloud Geometry Coding Using Planes and Octree Representation Models

Nowadays, point clouds are considered as a promising representation model for future 3D applications, such as augmented reality. However, large amounts of data are required to offer high quality immersive experiences, and therefore, compression efficiency is an important factor. Many of the current coding techniques rely on octree data structures, that offer several advantages such as scalability with layers offering multiple levels of detail. Although octrees are capable to efficiently represent a point cloud, geometric representations may also play an important role. In this context, the objective of this paper is to propose a hybrid point cloud compression solution based on plane estimation and coding that enhances the octree structure, thus exploiting two representation models for point clouds. In the proposed solution, the octree partitioning is adaptive and includes this novel plane coding mode for leaf nodes at different layers of the octree. A large increase in coding efficiency against the pure octree coding case is observed with average BD-rate gains of 35%, up to 68% reported. Moreover, in several cases it can also significantly outperform state-of-the-art solutions that are nowadays considered for standardization.
The configuration of internal and external practiced routines of absorptive capacity: a new perspective

The fifteen years following the introduction of the seminal construct of absorptive capacity (AC) by Cohen and Levinthal (1989, 1990) have seen the proliferation of a vast literature citing the AC construct in over 1500 published papers, chapters and books and interpreting it or applying it in many areas of organization science research, including organization theory, strategic management, and economics. However, with very few exceptions, the specific organizational routines and processes that constitute AC capabilities remain a black box. In this paper we propose a routine based model of AC that also operationalizes the AC construct. We decompose the construct of AC into two components, internal and external AC capabilities, and identify the configuration of meta-routines underlying these two components. The meta-routines are expressed within organizations by configurations of practiced routines that are observable and measurable. The ability of organizations to discover and implement complementarities between practiced AC routines may explain why some firms are successful early adopters and most firms are imitators. Success as an early adopter of a new management practice or an innovation is expected to depend on the extent to which an organization designs and implements the configuration of its internal and external absorptive capacity routines.
Robot spatial learning: Insights from animal and human behaviour

Natural systems embody robust solutions to difficult problems, hence research in robotics should benefit by looking for clues in the understanding of natural systems for the design of the artificial. The literature on spatial learning in natural systems, suggests that there is a great diversity of solutions to the problem of learning and navigating a large-scale environment. Although on a species level the solutions employed are specialised, it is argued here that there are characteristic properties that extend across species and suggest principles of general importance for the design of autonomous mobile robots. In particular, it is proposed that there is a commonality in many natural navigation systems relating to the use of multiple subsystems for the control of behaviour, and the exploitation of dynamic, quantitative representations of space. In the following, evidence from studies of animal and human navigation is briefly reviewed followed by a summary of a number of key themes of relevance to the design of systems for spatial learning and navigation in mobile robots. (3 pages)