Miracle-dz/UniFAR-FTUs huggingface dataset:
Vision-based navigation in low earth orbit

This paper presents and compares two vision-based navigation methods for tracking space debris in a low Earth orbit environment. This work is part of the RemoveDEBRIS 1 project. The proposed approaches rely on a frame to frame model-based tracking in order to obtain the complete 3D pose of the camera with respect to the target. The proposed algorithms robustly combine points of interest and edge features, as well as color-based features if needed. Experimental results are presented demonstrating the robustness of the approaches on synthetic image sequences simulating a CubeSat satellite orbiting the Earth. Finally, both methods are compared in order to specify what could be the best choice for the future of the RemoveDEBRIS mission.
Genome-wide association study identifies genetic risk loci for adiposity in a Taiwanese population

Overweight and obese are risk factors for various diseases. In Taiwan, the combined prevalence of overweight and obesity has increased dramatically. Here, we conducted a genome-wide association study (GWAS) on four adiposity traits, including body-mass index (BMI), body fat percentage (BF%), waist circumference (WC), and waist-hip ratio (WHR), using the data for more than 21,000 subjects in Taiwan Biobank. Associations were evaluated between 6,546,460 single-nucleotide polymorphisms (SNPs) and adiposity traits, yielding 13 genome-wide significant (GWS) adiposity-associated trait-loci pairs. A known gene, FTO, as well as two BF%-associated loci (GNPDA2-GABRG1 [4p12] and RNU6-2-PIAS1 [15q23]) were identified as pleiotropic effects. Moreover, RALGAPA1 was found as a specific genetic predisposing factor to high BMI in a Taiwanese population. Compared to other populations, a slightly lower heritability of the four adiposity traits was found in our cohort. Surprisingly, we uncovered the importance of neural pathways that might influence BF%, WC and WHR in the Taiwanese (East Asian) population. Additionally, a moderate genetic correlation between the WHR and BMI (γg = 0.52; p = 2.37×10−9) was detected, suggesting different genetic determinants exist for abdominal adiposity and overall adiposity. In conclusion, the obesity-related genetic loci identified here provide new insights into the genetic underpinnings of adiposity in the Taiwanese population.
THE SURVEY OF ENVIRONMENTAL STRATEGY ON INDONESIA CORPORATIONS: A REPLICATION MODEL

Environmental damage occurs at this time pushed corporations to change their business strategy into environmental strategy. Hence, performance measurement system is also used toward environmental. The Result of research conducted by Perego and Hartman (2009) has found relationship between environmental strategy and the use of performance measures mediated by performance measurement system (PMS). Based on the limitation of study conducted by Perego and Hartman (2009), this study replicate and meliorate by distributing questionnaires to corporate social responsibility (CSR) division of corporations in Indonesia. Because this division is part of the corporations, they are considered to understand more on the company's policy on social and environmental. Research of this study found that relationship between environmental strategy and the use of performance measurement system mediated manager sensitivity to environment and degree of congruity. Keywords: environmental strategy, uses performance measurement, company policy, sensitivity, congruity.
Redefining histograms of oriented gradients descriptors for handling occlusion in people detection

Object detection is a big challenge for researchers to address the issues that affect accurate detections. The Histogram of oriented gradients (HOG) descriptors have been used extensively for object detection on challenging conditions with good results. However, occlusion remains a well-known issue where some parts of an object are only visible. Conventional frameworks using HOG descriptors for detecting whole human body are prone to occluded people and thus causing errors on implementations running these frameworks. This issue was addressed in different approaches like hybrid feature extraction algorithms. Rather than following such approaches, the problem is addressed in this research by redefining HOG descriptors to work in a part object (body) detection framework that is powered by a finite-state machine. Experiments were conducted to test a new method of extracting HOG descriptors for parts of human body via slicing a window’s HOG descriptor into four. The part body detection framework utilises each part’s descriptor whereas three detected parts are sufficient to declare that the window has an assumed instance. Support vector machines (SVM) were used to classify the extracted parts and a finite- state machine was employed for handling the detected parts. Training and testing were made on subsets from the INRIA Person Dataset and the results favoured the part body detection framework over the conventional whole body framework. For a test set of 50 positive images of occluded people, the part body detection framework successfully detected 46 true positive while the whole body framework detected 36. Moreover, the former had less false positive detection than the latter having 80 false positive windows comparing to 289
Development of Load Distributed Crawler for Wall Surface Vehicles

磁石片付きクローラで壁面に吸着して走行する, 壁面移動機構の開発を進めている. 従来の磁石付きクローラは, クローラ両端の磁石片に負荷荷重が集中するため, クローラ長さと無関係に磁石片2個分の吸着力しか持たなかった. そこで本研究では, 磁石片の個数に比例した吸着力をもつ負荷分散クローラを提案した. このクローラの特徴は, 移動機構を壁面から引き離す方向に作用する負荷荷重を, 壁面に吸着している全ての磁石片に分散して直接伝達する点である. 実験によって負荷分散の機能が有効に働き, 吸着力が磁石片の個数すなわちクローラ長さにほぼ比例することを確認した. 次にこの負荷分散クローラを用いて移動機構を製作した. その結果, 模擬壁面の傾斜にかかわらず安定に走行した.
REAL -TIME DETECTION OF PHISHING TWEETS

Twitter is an immensely popular social networking site and micro blogging service where people post short messages of 140 characters called tweets. Phishers have started using Twitter as a medium to spread phishing scams because of the fast spread of information. We deployed our system for end users by providing an easy to use “Web framework” which takes the tweet id and the specific keyword, and in return it will give tweets indicating legitimate or unsafe. We have a green background indicating a legitimate or safe URL and red symbols indicating the malicious or phishing URL with the help of APIs and machine learning algorithm.
Dickson charge pump using integrated inductors in complementary metal–oxide semiconductor technology

A fully integrated DC/DC converter for low-voltage applications is presented. It is based on a modified Dickson charge pump which exhibits improved performances by using integrated small inductors. The proposed charge pump is superior in terms of power efficiency, maximum output voltage, rise time, and voltage output ripple. The overall circuit does not require any external components and can be fully integrated in a standard complementary metal–oxide semiconductor technology. The converter has been designed in STMicroelectronics 180 nm process.
Ka‐band multilayered substrate integrated waveguide narrowband filter for system‐in‐package applications

In this article, a Ka‐band narrowband multilayer bandpass filter (BPF) centered at 34.5 GHz is presented, where a hybrid structure of two substrate integrated waveguide (SIW) cavities with slots and CPW is used to meet the good filtering capability and compact size. Benefiting from the 3‐D circuit layout, the proposed filter can effectively overcome a vital drawback of large circuit size of traditional filter, and be used in system‐in‐package application. The circuit size of the filter excluding feed lines is about 0. 5λg by 0. 5λg, where λg is the guided wavelength at the central frequency of 34.5GHz. Simulated results show that the filter has the 3dB bandwidth of 0.86 GHz (FBW = 2.5%) and insertion loss of 1.7 dB at central frequency. © 2016 Wiley Periodicals, Inc. Microwave Opt Technol Lett 58:1395–1398, 2016
Towards sustainable scalability of communication networks

The functionality of future devices and services will require ever improving network speed and capacity. Whether new innovations will be available to all, or just a privileged few, hinges on the ability of communication networks to scale with the growth of demand. However, our current understanding of how to design and manage networks is ill-suited to respond to changing traffic trends, such as more prevalent inter-user data and real-time communications. The result is grossly inefficient network resource allocation decisions that threaten long-term network scalability. To prevent shortages of network resources in the future, we must eliminate these inefficiencies and proactively evolve communication networks to new types and growing volumes of Internet traffic. The research work presented in this dissertation makes the case for several principles that lead scalable network design. Most importantly, I argue that scalable network designed must not only match growing network demands in magnitude, but also provide the right kind of connectivity with respect to the continual evolution of network traffic patterns.
Optimization of Passive Indoor DAS Network Planning Using SMF-Based All-Optical Channeling

This paper investigates possible channeling approaches to optimize the passive indoor DAS network structure, containing both outside and inside plants. The paper shows that the optimal structure for DAS network is achieved by deploying an SMF-based all-optical connection all the way from the base station (BTS) to the distributed remote antenna units located inside the building. Vertical micro-ducted fibers are proposed for the outside plant connection around the buildings such that the deployment work and cost are significantly minimized. For internal connection, the paper demonstrates different fiber topologies and shows that the best design uses star network where each antenna unit is fully independent and has large communication bandwidth. We believe that the system proposed in this research can help telecom operators to improve their radio coverage planning especially in downtown areas where a huge number of indoor mobile handsets are simultaneously operated.
How Does Social Support Affect the Retention Willingness of Cross-Border E-Commerce Sellers?

E-commerce research usually focuses more on how to protect consumers’ rights and increase their purchase intention from the perspective of consumers. However, we still lack understanding of e-commerce sellers, especially cross-border e-commerce sellers. Based on the stimulus-body-response theory, this paper built a moderated mediation model to test the relationships among social support, perceived benefits, perceived usefulness and sellers’ willingness to retain. The results show that social support has a positive impact on perceived benefits and sellers’ willingness to retain; perceived benefits play a partial intermediary role between social support and sellers’ willingness to retain; and perceived usefulness moderates these mediating effects. The research results further expand the perspective of e-commerce research and reveal the mechanism and boundary conditions of the influence of social support on the retention willingness of cross-border e-commerce sellers.
Large-Eddy Simulation of Flow Over a Wall-Mounted Hump

formulations and a high-order filtering strategy. Results for the hump flow are compared to Reynolds Averaged Navier-Stokes (RANS) simulations and experimental data from a recent NASA workshop on synthetic jets and turbulent separation control. Participants at this workshop using RANS, hybrid RANS/LES, and direct numerical simulations (DNS) achieved only qualitative agreement with experimental data. The current work attempts to expand on that knowledge base by correcting for wind tunnel blockage and removing the reliance on turbulence models which are known to perform poorly in flows with separation. To properly resolve the flow for this LES, the Reynolds number of 9.36 ◊ 10 5 used in the experiment was reduced to 2.0 ◊ 10 5 . Eects of lowering the Reynolds number were investigate using RANS. At this lower Reynolds number, the LES results displayed a slightly dierent character than the experiment in the skin-friction coecient over the front portion of the hump and in the velocity profiles near the separation point on the hump. In the recirculation region, the LES results matched experimental data significantly better than RANS. The LES properly modeled the flow physics of the separation bubble achieving better agreement in the surface pressure coecient, skin friction coecient, mean velocity profiles, Reynolds stresses, and flow reattachment location.
The Kauffman Index 2015: Startup Activity | State Trends

The Kauffman Index: Startup Activity is a novel early indicator of new business creation in the United States, integrating several high-quality sources of timely entrepreneurship information into one composite indicator of startup activity. The Index captures business activity in all industries, and is based on both a nationally representative sample size of more than a half million observations each year and on the universe of all employer businesses in the United States. This allows us to look at both entrepreneurs and the startups they create. This report presents trends in startup activity over the past two decades for all the fifty states of the United States. Broad-based entrepreneurship in America appears to be slowly crawling its way out of the depths it has been stuck in since 2010. Startup activity rose in 2015, reversing a five-year downward trend in the United States, giving rise to hope for a revival of entrepreneurship. However, the return remains tepid and well below historical trends, as shown in Figure 1 below. A principle driver of this year’s uptick is the growth of male opportunity entrepreneurship, accompanied by the continued strength of immigrant entrepreneurship - covered in the Kauffman Index: Startup Activity | National Trends. Males were hit particularly hard during the Great Recession. Metro-area stars of the startup surge include perennial favorites like Austin and San Jose - covered in the Kauffman Index: Startup Activity | Metropolitan Area and City Trends - as well as some less-highlighted places, such as Miami and San Antonio. In this report, we focus on startup activity at the state level.
Energy‐aware virtual machine consolidation based on evolutionary game theory

Cloud data center consumes enormous amount of electrical power resulting in high operating cost and carbon dioxide emission. Virtual machine (VM) consolidation strives to reallocate VMs to the minimum number of physical machines dynamically to reduce energy consumption. An approach is proposed to solve consolidation problem of VMs toward optimization of their energy consumption. A novel algorithm is presented, and an energy consumption model is also presented to support the algorithm to find optimal solutions. Experimental results show that energy consumption can be reduced greatly by dynamic VM consolidation. In comparison with other classic algorithms, our proposed algorithm outcomes them and achieves average savings of 42% on energy consumption.
ANALISIS FAKTOR DETERMINAN PENGGUNAAN SISTEM APLIKASI PEMERIKSAAN LAPORAN KEUANGANPEMERINTAH DAERAH DAN IMPLIKASINYA TERHADAPKINERJAPEMERIKSA(Studi Pada BPK RI Perwakilan Provinsi Jawa Barat)

Identifying what are the factors that influence implementation success of new software technology among the users is vital since the success and failure of any new systems to operate in a new environment depends largely on the acceptance of the users of the system. Audit Board of the Republic of Indonesia has launched the new audit software for auditing the local government financial report, called Examination Application System of Local Government's Financial Statement (SiAP LKPD). This research aims to analyze the factors that can affect auditor in using of SiAP LKPD and its implication on the auditorâ��s performance. Case study was conducted at Supreme Audit Board representative office on West Java province. The research model used in this research is integrated evaluation model. This model integrates three very well-known theories of information systems, which are DeLone and McLean model, UTAUT model, and HOT Fit. According to integrated evaluation model, technology acceptance has three dimensions: characteristics of the individual, characteristics of the technology, and characteristics of organisational context. Method used in this research is based on quantitative study with data processing techniques using second order confirmatory factor analysis in partial least square (PLS). The result of this research showed that characteristics of the individual with gender as moderating variable, characteristics of the technology, and characteristics of organisational context have influence on behavioral intention to use SiAP LKPD. In the other hand, this study established that age insignificantly moderate the impact of human factor on intention to use SiAP LKPD. Other results indicate that intention to use SiAP LKPD significantly affect user satisfaction and net benefit. Additionally, user satisfaction also affect net benefit. Furthermore, there is incorporation of fit between human, organisational, and technology factors.
A Large-Scale Combinatorial Many-Objective Evolutionary Algorithm for Intensity-Modulated Radiotherapy Planning

Intensity-modulated radiotherapy (IMRT) is one of the most popular techniques for cancer treatment. However, existing IMRT planning methods can only generate one solution at a time and, consequently, medical physicists should perform the planning process many times to obtain diverse solutions to meet the requirement of a clinical case. Meanwhile, multiobjective evolutionary algorithms (MOEAs) have not been fully exploited in IMRT planning since they are ineffective in optimizing the large number of discrete variables of IMRT. To bridge the gap, this article formulates IMRT planning into a large-scale combinatorial many-objective optimization problem and proposes a coevolutionary algorithm to solve it. In contrast to the existing MOEAs handling high-dimensional search spaces via variable grouping or dimensionality reduction, the proposed algorithm evolves one population with fine encoding for local exploitation and evolves another population with rough encoding for global exploration. Moreover, the convergence speed is further accelerated by two customized local search strategies. The experimental results verify that the proposed algorithm outperforms state-of-the-art MOEAs and IMRT planning methods on a variety of clinical cases.
Learning Analytics: opportunità per la scuola

La valutazione delle esperienze di apprendimento che avvengono in ambienti in cui le interazioni sono mediate dalle tecnologie e una sfida ardua che deve essere affrontata con approcci adeguati. Le tecniche di Learning Analytics si sono sviluppate recentemente con l’obiettivo di fornire gli strumenti necessari per ottimizzare le esperienze di apprendimento. Queste tecniche supportano i docenti nel prendere tempestivamente quelle decisioni che rendono il processo didattico piu efficace, permettendo di intervenire sull’intero processo o sui singoli studenti in modo personalizzato. Sebbene le tecniche di Learning Analytics si siano sviluppate principalmente nei contesti di alta formazione online, questo articolo mette in evidenza come l’impiego di tali tecniche puo portare benefici anche nei contesti scolastici. Di fatto, in questi contesti, le tecnologie sono sempre piu utilizzate per supportare le esperienze di apprendimento formali e informali, come quelle basate su dispositivi mobili, serious game e social network, e i dati generati sono sempre piu numerosi, richiedendo nuovi approcci di analisi che traggono vantaggio dall’impiego delle tecniche di Learning Analytics.
Large quantities of small microplastics permeate the surface ocean to abyssal depths in the South Atlantic Gyre

Hundreds of studies have surveyed plastic debris in surface ocean gyre and convergence zones, however, comprehensive microplastics (MPs, ≤5 mm) assessments beneath these surface accumulation areas are lacking. Using in situ high‐volume filtration, Manta net and MultiNet sampling, combined with micro‐Fourier‐transform‐infrared imaging, we discovered a high abundance (up to 244.3 pieces per cubic meter [n m−3]) of small microplastics (SMPs, characteristically <100 μm) from the surface to near‐sea floor waters of the remote South Atlantic Subtropical Gyre. Large horizontal and vertical variations in the abundances of SMP were observed, displaying inverse vertical trends in some cases. SMP abundances in pump samples were more than two orders of magnitude higher than large microplastics (LMPs, >300 μm) concurrently collected in MultiNet samples. Higher‐density polymers (e.g., alkyd resins and polyamide) comprised >65% of the total pump sample count, highlighting a discrepancy between polymer compositions from previous ocean surface‐based surveys, typically dominated by buoyant polymers such as polyethylene and polypropylene. Contrary to previous reports stating LMP preferentially accumulated at density gradients, SMP with presumably slower sinking rates are much less influenced by density gradients, thus resulting in a more even vertical distribution in the water column, and potentially longer residence times. Overall, our findings suggest that SMP is a critical and largely underexplored constituent of the oceanic plastic inventory. Additionally, our data support that weak current systems contribute to the formation of SMP hotspots at depth, implying a higher encounter rate for subsurface particle feeders. Our study unveils the prevalence of plastics in the entire water column, highlighting the urgency for more quantification of the deep‐ocean MP, particularly the smaller size fraction, to better understand ecosystem exposure and to predict MP fate and impacts.
Effect of Shim Arm Depletion in the NBSR

The cadmium shim arms in the NBSR undergo burnup during reactor operation and hence, require periodic replacement. Presently, the shim arms are replaced after every 25 cycles to guarantee they can maintain sufficient shutdown margin. Two prior reports document the expected change in the 113Cd distribution because of the shim arm depletion. One set of calculations was for the present high-enriched uranium fuel and the other for the low-enriched uranium fuel when it was in the COMP7 configuration (7 inch fuel length vs. the present 11 inch length). The depleted 113Cd distributions calculated for these cores were applied to the current design for an equilibrium low-enriched uranium core. This report details the predicted effects, if any, of shim arm depletion on the shim arm worth, the shutdown margin, power distributions and kinetics parameters.