bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Data-driven Approach for General Visual Quality Control in a Robotic Workcell
Authors: Reich Simon , Teich Florian , Tamosiunaite Minija , Wörgötter Florentin , Ivanovska Tatyana 
Published: October 2019

Abstract
Setting up computer vision quality control tasks in a robot workcell is expensive, time consuming, and often requires expert knowledge. In this work, a highly adaptable approach to mitigate this issue is introduced. First, an ontology of atomic building blocks is defined, where each block represents one computer vision algorithm. Second, these blocks are used to generate a complex graph structure. The generation follows a set of rules, which can be shown to the inexperienced worker as a list of simple questions. Afterwards, this graph can be refined. Finally, the graph is integrated into the robotic assembly sequence, and the visual quality control procedure can be executed. Two industrial use cases show the feasibility of this approach. Thus, this work leverages computer vision aided quality control tasks in robot workcells.
Visualization Technique for Mutation Functional Analysis
Authors: Pacheco S , Al-Mubaid H 
Published: October 2019

Abstract
A great body of research have been devoted in the past two decades to understanding gene functions, gene mutations, and mutation-disease relationships. In this paper, we present a method for exploring and understanding mutation functions using visualization and graphics representation. Functional annotation of human gene mutations is an important step in mutation pathogenicity prediction and understanding diseases progress and mechanisms. The presented visualization method is based on identifying the most significant and most specific sets of functions for a given set of mutations under a target disease or medical condition. The presented visualization allows for easy and effective understanding of the details and differences among the various sets of functions of the given mutations under certain disease or medical condition.
A Hybrid Image Segmentation Model Based on GMM and CV Model
Authors: Gao Mingyan , Tang Yan 
Published: October 2019

Abstract
Traditional CV level set segmentation model is vulnerable to image noise and non-uniform gray level in the target area, which affects the segmentation accuracy. In this paper, We propose a new image segmentation model, which combines Gaussian mixture model(GMM) and CV level set image segmentation algorithm. We use the GMM foreground detection result as important prior information of CV level set image segmentation in order to integrate multi-information. We add different gray values to foreground area and background area to increase contrast. We put the new different gray values into the level set function to construct new energy terms and it effectively minimize inaccurate edge location caused by the image noise and uneven gray scale in image. In this paper, our method compares to LIF, LBF, RSF and other CV level set image segmentation algorithm, and the experiment result shows that our method is better than others and achieves faster convergence.
Single-view and Multi-view Methods in Marker-less 3D Human Motion Capture
Authors: Xu Tong 
Published: October 2019

Abstract
Human motion capture has now played a pivotal role in more and more applications, including biomechanics, sports, image segment, animation, robotics, etc. Although commercial marker-based human motion capture models have matured, the shortcomings, such as obtrusion, expense, errors due to damage to the marker trajectories, long set-up times and etc. exposed by this approach are becoming more and more apparent. Marker-less human motion capture analysis is likely to provide inexpensive and efficient solutions to solving these problems for the reconstruction of human motion in the future. In this paper, we discuss and compare the background and characteristics of marker-based and marker-less human motion capture models. Then we divide the marker-less human motion capture into single view and multi view and display some popular models. These methods are also categorized according to their internal logic and algorithms. Finally, we present some of the major shortcomings of the current marker-less human motion capture models and the future direction of development.
Deep Learning based Discharge Information Extraction for Ultraviolet Image of Electrical Equipment
Authors: Lin Ying , Qin Jiafeng , Zhou Jiabin , Li Chengqi , Zhang Zhenjun , Zhu Mei 
Published: October 2019

Abstract
Convolutional networks are powerful visual models that transform images into more effective representations. To make full use of this technique, we propose a new method based on deep learning and convolutional network to effectively get the discharge information of an ultraviolet (UV) image. We firstly segment the equipment region and the UV spot region separately by using the DeepLab network, and then several properties which can show the discharge information are extracted on the basis of the segmentation. The use of the DeepLab network helps to get a reliable segmentation result, and more accurate discharge information. We take 5000 UV images to test our network, and use the concept mean IOU to evaluate its performance. The results show the advantage of the method, and it can meet the demands of further fault diagnosis.
Research on Vehicle Appearance Component Recognition Based on Mask R-CNN
Authors: Qianqian Zhu , Sen Liu , Weiming Guo 
Published: October 2019

Abstract
Recognition of vehicle exterior components is one of the most important core algorithms in the process of intelligent propulsion. This paper focuses on the recognition algorithm of vehicle appearance parts, which can detect the position of vehicle appearance parts and recognize the name of the parts in the image. This paper applies enterprise self-built datasets. Firstly, the vehicle close-range dataset is produced by tailoring in data enhancement. Secondly, the models based on ResNeXt-50+FPN, ResNeXt-101+FPN, ResNeXt-50 backbone network and Mask R-CNN are applied in three stages: panoramic dataset, panoramic dataset and panoramic close-range integrated dataset. Finally, the network model based on ResNeXt-101+FPN and Mask R-CNN is the best on the comprehensive dataset.
Fast high-power thyristors triggered in impact-ionization wave mode
Authors: Gusev A. , Lyubutin S. , Patrakov V. , Rukin S. , Slovikovsky B. , Barnes M.J. , Kramer T. , Senaj V. 
Published: October 2019

GTO-like thyristors 5STH-2045H0002 (4.5 kV, 18 kA/μ s) developed by ABB semiconductors are currently used at CERN in LHC Beam Dumping System (LBDS): high-power switches with high dI/dt capability and low turn-on delay time are required. Implementation of the impact-ionization triggering in GTO-like thyristor enhances its switching performance and gives new information about semiconductor physics. In this work thyristors of 5STH-2045H0002 type triggered in impact-ionization wave mode are investigated. A semiconductor opening switch (SOS) generator providing a dV/dt of several kV/ns was used as a source of triggering pulses. A thyristor switching time of approximately 200–300 ps was observed. Maximum discharge parameters were obtained for two series connected thyristors at a charging voltage of 10 kV, and a capacitor stored energy of 300 J: peak current of 43 kA, dI/dt of 120 kA/μs (limited by the discharge circuit), Full Width at Half Maximum (FWHM) of 1.5 μs. A single thyristor was tested in the repetitive mode at the charging voltage of 4.2 kV, and the stored energy of 18 J: peak current of 5.5 kA, dI/dt of 40 kA/μs, FWHM of 1.5 μs were obtained. No thyristor degradation was observed after more than one million pulses at a PRF up to 1 kHz in burst mode. Thyristor recovery time was 250 μs. The switching efficiency was up to 98% depending on dV/dt and stored energy.
Are mercury emissions from satellite electric propulsion an environmental concern?*
Authors: Fourie Dan , Hedgecock Ian M , De Simone Francesco , Sunderland Elsie M , Pirrone Nicola 
Published: October 2019

Abstract
A new generation of satellites for Earth observation and telecommunications are being designed and built with off the shelf components. This is driving down costs and permitting the launch of large satellite swarms with unprecedented spatial and temporal coverage. On-orbit maneuvers are commonly performed using ion thrusters. Mercury is one of the cheapest and easiest to store propellants for electric propulsion. While some mercury released in Low Earth Orbit may escape Earth’s gravitational field, mercury emissions originating from many common orbital maneuvers will return to Earth. The environmental and human health implications of such releases have not been evaluated. Using an atmospheric chemical transport model, we simulate global deposition of mercury released from satellite propulsion systems. We estimate that 75% of the mercury falling back to Earth will be deposited in the world’s oceans, with potentially negative implications for commercial fish and other marine life. Understanding the scale of this novel mercury source in a post-Minamata Convention world is necessary to limit ecosystem exposure to mercury contamination.
Optimization of settlement land use through carbon footprint approach in The North Balikpapan
Authors: Ghozali A , Hasanah N , Subchan  
Published: October 2019

Abstract
Limited land in the downtown area as well as the increasing amount of new activities centre causes residential development leads to North Balikpapan. This area is an urban fringe with vast protected forests as buffer zone and catchment area for the city and surrounding area. Land conversion in this area will increase hazard risk of inundation, water quality decrease and increased CO2 emissions. Therefore, development should be maintained environmental stability. One of the rights applicated approach is carbon footprint that is capable to measure the balance between production and absorption needs of CO2 emissions. To find the optimal land allocation, we used carbon footprint calculation from the household activities, identify the factors of settlement growth, and use Linear Programming analysis. Analysis’ results show that settlement activities in North Balikpapan produce 108.362,4 tCO2/year or equivalent with 618,50 Ha green space. Meanwhile, the development of settlement in North Balikpapan is affected by social demographic, developer initiative, environmental condition, public facilities availability, economical structure, and policy factors. According to those factors, optimal allocation of settlement area in North Balikpapan is only about 4,510.01 Ha. With that condition, it still able to absorb CO2 emissions from inside or outside the area around 2.751 tCO2/year.
Analyzing the occupant’s awareness, behavior and obstacle in achieving energy efficiency in a campus building
Authors: Prafitasiwi A G , Rohman M A 
Published: October 2019

Abstract
Campus building is essential to be the pioneer of the energy saving-system in the society. Occupant’s behavior should be considered to better formulate an appropriate energy-saving strategy in the campus building. This paper identifies the social parameters in achieving energy efficiency in campus building using a quantitative approach. Data will be collected through survey involving the campus building’s occupants. Series of statistical tools consists mean ranking, Analysis of Variance (Anova) and factor analysis will be applied in this research. It is expected that this finding can be used to formulate an appropriate energy-saving system based on the occupant’s behavior evaluation.
Evaluation of slum potential settlement data collection system toward Surabaya smart government (case study: Keputih Sub District)
Authors: Aulia B U , Muklason A , Santoso E B , Farikha N 
Published: October 2019

Abstract
The existence of slum areas is one of the main problems that occur in the city of Surabaya. The Surabaya City Government continues to make efforts to renew the slum area data collection system in order to provide appropriate and targeted treatment. This research was conducted to evaluate the existence of the data collection system, the process and quality, also the sustainability of the slum settlement data collection system through a Likert scale assessment. The results of this study show that the existence of data collection and involvement aspects (score: 4.44) has a better performance in Keputih Sub District compared to other aspects, which are process and quality aspects (score: 4.11) and sustainability aspects (score: 4.33). Based on the evaluation results on the criteria of each aspect shows the need for improvement in the following matters: 1) potential slum settlement data collection program (score: 3.33) in the aspect of data collection and involvement; 2) the data collection process (score: 2.67) in the process and quality aspects in the data collection system; 3) improving the quality of human resources involved in data collection (score: 2.67) in the aspects of process and quality in the data collection system; 4) data recapitulation process (score: 2.67) in the sustainability aspect of data collection.
Transformation of urban flood modelling from hydrodynamic to system dynamics approach
Authors: Susetyo C , Idajati H , Navastara A M 
Published: October 2019

Abstract
Flood problem is one of the key issues in the urban water management practice. Currently, there is a gap between flood prediction techniques, which mostly by Hydrologic Modelling, and the water management modelling, which mostly use the System Dynamic approach. This paper evaluates the possibility of the integration of hydrodynamic modelling to System Dynamics, which is one of the most common method to develop an urban water modelling. By integrating hydrodynamic modelling within a larger system dynamics-based urban water modelling, the hazard aspect of urban water management can thoroughly be examined. In this paper, the integration of Hydrodynamic Modelling into system dynamics-based urban water modelling is achieved by implementing the flow inputs of hydrodynamic modelling as a variable in the system dynamics.
Spatial interaction between urban and peri-urban regions of Surabaya metropolitan area and its impact to the carbon footprint of transportation sector
Authors: Santoso E B , Aulia B U , Aninditya D N , Handayeni K D M 
Published: October 2019

Abstract
Surabaya Metropolitan Area is the dominant urban agglomeration in East Java Province as the center of regional economic development. The population growth and economic activities have significantly affects to the periphery area, one of which is Sidoarjo Regency where is directly border to the southern part of Surabaya City. Sidoarjo Regency as a supporting area has a main function in the provision of residential and industrial areas which causes the expansion of urban areas of Surabaya. The relationship between urban and peri-urban areas has the potential to increase the flow of people, goods and vehicles from Surabaya to Sidoarjo and vice versa. It causes congestion and air pollution problems from vehicles in the corridor of the area with a high level of interaction. The purpose of this study is to estimate the level of spatial interaction between urban and peri-urban areas as well as the environmental impacts, mainly carbon emissions and ecological footprint. The analysis was carried out using the gravity method to measure spatial interactions, while carbon emissions analysis uses quantitative method with data on emission factors and the number of vehicles between Surabaya City and Sidoarjo Regencies, as well as their effects on ecological footprint. The results show that the peri-urban area surrounding border of Surabaya City has the highest level of spatial interaction. The strong interaction between urban areas and peri-urban areas has an impact on increasing carbon emissions between these two regions and also their ecological footprint.
Ecosystem services-based land use suitability analysis in East Java Province
Authors: Firmansyah F , Yusuf M , Setiawan P R , Susetyo C 
Published: October 2019

Abstract
Land Use planning method nowadays has been developed from many perspectives. One of the considered approaches is ecosystem based which is integrating ecosystem services in constructing land use plan scenario. The concept of ecosystem services is strictly linked to changes in land use and land cover, which affect ecosystem services, moreover this determine a decrease in global environmental and biodiversity loss. In this paper we aim to construct an ecosystem services-based industrial suitability map as an input for land use planning. The construction of ecosystem services map process involves expert judgement from stakeholders in order to know which ecosystem services classification should be taken into account in determining spatial allocation for industrial use. Furthermore, the carrying capacity map is constructed based on physical aspects such as morphology, water availability, disaster vulnerability, etc. In the construction process, stakeholders are also asked to give weight to the physical aspects, this is important since the data are then merged using weighted overlay method. The suitability map is resulted from the overlay of carrying capacity map and ecosystem services map in East Java Province scope.
Determination of location criteria of PKL Center as tool for success relocation
Authors: Idajati H , Susetyo C , Safitri E W 
Published: October 2019

Abstract
Street vendor is an informal sector that performs its economic activity by using an area which is not in accordance with the government’s spatial planning and considered as an additional to the urban issues, however the street vendor is an essential aspect in Indonesian urban cities. The relocation of street vendors is aiming for location management in accordance to carry out training program about the services activities of the informal sector by the government. At 2016, Surabaya is actively on beautifying the urban area by relocated the street vendors, including all street vendors along Arif Rahman Hakim Street. Those street vendors have been relocated to several Street Vendor Centers along the same street.The effort of minimizing any the changes of those street vendors to return to the side of the road to vend is by measuring the effectiveness of the street vendor’s relocation, targeted on these points: 1) identifying the street vendor’s characteristic, 2) measuring the effectiveness level of the previous relocation, and 3) formulate a location’s criteria which is suitable for the street vendors of Arif Rahman Hakim Street in order to improve the effectiveness of the relocation.Thus, it can be concluded that these street vendors is in good term. And relatively concluded, the relocation of Arif Rahman Hakim Street’s street vendors is quite effective.
Impacts of inter-urban transportation railway to regional development (Case study: Sukaraja District - Bogor Regency - West Java Province)
Authors: Kasikoen K M , Suprajaka  , Martini E 
Published: October 2019

Abstract
Inter-urban transportation railway becomes the chosen mass transportation mode by the people for daily commuting. The tariff is relatively cheaper and affordable. The travel times are shorter as compared to other modes of transportation. This study aimed to understand the development surrounding Jakarta – Bogor Inter-urban transportation railway station - Cilebut Station located in Sukaraja District. Correlation between passengers and population is 0.99 that shows great impacts to development area surrounding it. Analysis of development aspects are land use, population, and economic change. Using Geographic Information System analysis from the year 2010 to 2015, residential area increased by 18.11% and plantation area decreased by 32.9%. Population was analyzed using average rate of growth from the year 2011 to 2015, the result is 4.6%. Population density increased from 3809 people/sq.km to 4694 people/sq.km. Facilities of industry and grocery store increased, likewise labor structure of business and hotel increased by 11350 persons and services by 3460 persons. But agriculture labor decreased by 894 persons. Based on this research, local government should be alerted. In the case a region has a railway station and is stopped-by inter-urban transportation trains, the area development will take place rapidly, intervention needs to be done.
Simulation of Voluntary TDM scenarios on road service level in corridor of Nicolau dos Reis Lobato-Kolmera, Timor-Leste
Authors: Handayeni K D M E , Gomes E F 
Published: October 2019

Abstract
Nicolau dos Reis Corridor Lobato-Kolmera is one of the corridors in the center of Dili City with the dominance use of office, trade and services activities. This effects a high trip attraction, so the level of road service in this corridor starts to be unstable especially during peak hour. At present there is no policy to deal with congestion issues in terms of managing travel demand. Therefore, this study aims to develop Voluntary-based Travel Demand Management (TDM) scenarios that can improve road service in the Nicolau dos Reis Lobato-Kolmera Corridor. Scenario is developed through simulation of multiple linear regression models and calculation of degree of saturation (DS). The results show that the TDM scenario in the form of Vanpool is considered more effective in improving road level services compared to Carpool and Flextime scenarios. The scenario of Vanpool and Flextime can be developed in office activities, while in trade and service activities require a combination of Carpool and Flextime policies to significantly reduce DS values.
The spatial configuration of crime in Surabaya
Authors: Satiawan P R , Tucunan K P , Azarine R Y 
Published: October 2019

Abstract
As a second larger city in Indonesia, Surabaya is listed among highest crime rate city in this country. One of the prominent crime in Surabaya is a street crime. This is a type of crime that often occurs in in public spaces which can be experienced by anyone. One of the urban planner guideline in integrating spatial approach to prevent crime is defensible space theory, this research is deducting the theory as a variable as well as inducting variable that might vary between location to country. Using ethnographic approach, the interview was conducted with a crime offenders that later triangulate with the other conventional expert. This research found that there are two (2) types of space in each crime incident, which researcher defined as a action space and defense space. Action space consist of three types of space which are: the observation space, the execution space, and the escape space. Meanwhile, the defense space can be categorized as space that can be maintained positively and space that can be maintained neutral.