scholarly journals Rancang Bangun Rekonstruksi 3D Dengan Kinect Xbox 360

2020 ◽  
Vol 2 (1) ◽  
pp. 49-59
Author(s):  
Trisni Wahyu Ningtias ◽  
Koko Joni ◽  
Riza Alfita

Technology development is increasing rapidly and effectively brings an impact on the field of technology. One of them is scanning objects using a computer. Object scanning is a technology that combines hardware to see objects and software to process data that has been received by the hardware. The traditional manufacturing process without 3D scanning involves the design, analysis and testing of prototypes needs a very long time and expensive. Whereas 3D scanning is considered capable of being more efficient and practical. This research is conducted to facilitate the 3D scanning process by utilizing sensors on the Kinect 360 camera. The object will be scanned with a 360 camera to get data on each side. The results obtained will be processed by the system and process it into 3D objects. The process of collecting object data using Eclipse software while object rotation using a stepper motor which controlled by arduino. Based on the results of tests from research, the infrared sensor on the Kinect camera is less than optimal in reflecting light back on the object that has uneven surfaces. But the sensor works well on the object that has a flat surface.

2013 ◽  
Vol 278-280 ◽  
pp. 831-834 ◽  
Author(s):  
Xiao Sun ◽  
Hao Zhou ◽  
Xiang Jiang Lu ◽  
Yong Yang

This paper designed a motor winding testing system, it can do the dielectric withstand voltage test of inter-turn under 30kV.The system can communicate effectively between PC and machine, by using the PC's powerful capacity of process data and PLC's better stability and the Labview's convenient UI. So the system has real-time data collection, preservation, analysis and other characteristics. This system is able to achieve factory testing and type testing of the motor windings facilitating. Various performance indicators were stable and reliable by field test during a long time.


2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Weishi Chen ◽  
Yifeng Huang ◽  
Xianfeng Lu ◽  
Jie Zhang

Purpose This paper aims to review the critical technology development of avian radar system at airports. Design/methodology/approach After the origin of avian radar technology is discussed, the target characteristics of flying birds are analyzed, including the target echo amplitude, flight speed, flight height, trajectory and micro-Doppler. Four typical airport avian radar systems of Merlin, Accipiter, Robin and CAST are introduced. The performance of different modules such as antenna, target detection and tracking, target recognition and classification, analysis of bird information together determines the detection ability of avian radar. The performances and key technologies of the ubiquitous avian radar are summarized and compared with other systems, and their applications, deployment modes, as well as their advantages and disadvantages are introduced and analyzed. Findings The ubiquitous avian radar achieves the long-time integration of target echoes, which greatly improves detection and classification ability of the targets of birds or drones, even under strong background clutter at airport. In addition, based on the big data of bird situation accumulated by avian radar, the rules of bird activity around the airport can be mined to guide the bird avoidance work. Originality/value This paper presented a novel avian radar system based on ubiquitous digital radar technology. The authors’ experience has confirmed that this system can be effective for airport bird strike prevention and management. In the future, the avian radar system will see continued improvement in both software and hardware, as the system is designed to be easily extensible.


2018 ◽  
Vol 189 ◽  
pp. 06006 ◽  
Author(s):  
Hao Wang ◽  
Zonghu Wang ◽  
Bin Zhang ◽  
Jun Zhou

Fintech companies have been facing challenges from fraudulent behavior for a long time. Fraud rate in Chinese P2P financial market could go as high as 10%. It is crucial to collect sufficient information of the user as input to the anti-fraud process. Data collection framework for Fintech companies are different from conventional internet firms. With individual-based crawling request, we need to deal with new challenges negligible elsewhere. In this paper, we give an outline of how we collect data from the web to facilitate our anti-fraud process. We also overview the challenges and solutions to our problems. Our team at HC Financial Service Group is one of the few companies that are capable of developing full-fledged crawlers on our own.


Author(s):  
Hiroshi Yoshida ◽  
Sawa Takao ◽  
Tadahiro Hyakudome ◽  
Shojiro Ishibashi ◽  
Hiroshi Ochi ◽  
...  

The underwater platform which has enough ability to cruise globally and freely in vast deep sea will allow us to make the survey of entire oceans. We aim to develop an underwater platform which travels and surveys across entire oceans for the research into the global change, ocean-trench earthquake, and biodiversity and so on. We have developed the first prototype underwater platform or the long-range cruising autonomous underwater vehicle (LCAUV) named Urashima since 1998. The vehicle powered by a polymer electrolyte fuel cell system marked the world record of cruising distance of 317 kilometers in 2005. The vehicle has the following specifications: length; 10 m, weight; 10 tons, maximum depth ratings; 3500 m, maximum cruising speed; 3.2 knots, and endurance; 60 hours. This large vehicle has large user payload of a few hundreds kilograms. In 2007, we started research and development of the elemental technologies which will be utilizes for development of the second generation LCAUV to achieve cruising range of over 3000 kilometers. The technologies under research and development are power sources, navigation methods, communication methods, vehicle controllers, materials for body, and advanced sensors for highly resolution survey. The fuel cell and secondary battery hybrid system is had to improve at energy efficiency to generate electricity as possible for long time running with limited energy. A high accuracy inertial navigation system and an underwater positioning system being covered area of over 1000 km are under development. A synthesized aperture sonar is also under development.


2011 ◽  
Vol 32 (4) ◽  
pp. 33-53
Author(s):  
Daniel Węcel ◽  
Włodzimierz Ogulewicz

Study on the possibility of use of photovoltaic cells for the supply of electrolysers Photovoltaic cells have been used for a long time to supply the electrical devices of small power in areas without access to the electricity networks (or other sources of electric energy). The ecological aspect of the use of the renewable energy sources, together with the technology development and increasingly lower costs of production the photovoltaic cells, cause the increase of their application. The solar power plants are built in several places in the world, not necessarily in the areas of high light intensity. Nowadays, such developments mostly depend on the wealth of a particular country. The largest photovoltaic power stations have power of a several dozen of MW. The major disadvantage of the photovoltaic cells is that the energy production is possible only during the day. This causes a necessity of energy accumulation in large photovoltaic systems. One possibility of storing large amounts of energy gives a hydrogen fuel, generated in the electrolysers powered directly from photovoltaic cells. Hydrogen, stored in pressure tanks or in tanks with synthetic porous materials, can be again used to produce electricity in fuel cells. This paper introduces selected issues and test results associated with the use of photovoltaic cells to power the hydrogen generators. The possible connections of photovoltaic modules integrated with electrolysers were analyzed. In this article the results of the electricity daily production by polycrystalline photovoltaic cells, collected in the course of the entire year were also presented.


Author(s):  
K. Pavelka jr. ◽  
P. Raeva

<p><strong>Abstract.</strong> Technology development now allows us to display the virtual reality (VR) world in a relatively high quality. VR is beginning to be used in many fields and getting many uses. This technology will be used more and more in the future and photogrammetry will not be an exception. For a long time, it has not been possible to present models in any other interesting form than in simple 3D model viewers or directly in the software where this model was built. In our case, this technology was used to create a beta version of a virtual museum that includes, in the beginning, some historical objects documented last year with appropriate technology which allows the transfer of models directly to the VR world. All the models that were presented in the museum had been created from aerial or ground photos, and some of them had been created by a combination of both technologies or in combination with laser scanned data. If we want to use 3D models from photogrammetry, which gets us a realistic copy of a documented object, it is necessary to optimize the photogrammetrical technology for the VR use. The paper introduces all steps of the workflow of how we can obtain a model which could be applicate in VR.</p>


2015 ◽  
Vol 73 (3) ◽  
Author(s):  
Siti Asmah Daud ◽  
Nasrul Humaimi Mahmood ◽  
Leow Pei Ling ◽  
Fauzan Khairi Che Harun

In this paper, new development of a sensor rig device with infrared sensors is used to reconstruct the 3D image of an object’s surfaces. Five sensors have been used to acquire data that measure distance from the object and sensors. A stepper motor controls the object rotation with 2 degrees per turn. A few objects such as tulip, curvilinear, flower and star shape have been selected for data collection, and the results proved that this sensor rig device is capable of reconstruct a 3D image of an object’s surface. A prosthetic model with distinct size in diameter was tested to prove that this device is capable of measuring distance with different size. From the results obtained, this sensor rig device shows a capability to reconstruct 3D image of an object surfaces with simple post processing technique. A prosthetic object was tested and results show that the accuracy was around 75%. 


2021 ◽  
Vol 5 (3) ◽  
pp. 1063
Author(s):  
Silvilestari Silvilestari

Business is an activity that is routinely carried out by many people, one of the promising businesses is a business that provides the needs of electronic goods to meet the needs of daily life, high demand causes business people to be more careful and selective in seeing the pattern of customers who want perform transactions in order to avoid business risks appropriately. Business people use a credit system to increase sales for a long time, but the obstacle that often occurs is that many customers who use credit services often delay payments to make the company's finances unstable so someone needs to predict someone who has the potential to do bad credit for electronic goods. using a system that helps business owners to make it easier to process data and predict patterns of bad credit for electronic goods that have been formed from previous data using the KNN algorithm approach, so that the results show the closeness of the value to the data of old customers, both those who pay properly and those who make payments in default and it can be obtained that the processing process accelerates data processing with precise results in the problem solving process


2018 ◽  
Vol 1 (1) ◽  
pp. 46
Author(s):  
Yulia Arianti ◽  
Maulana Ashari

Current trends online shopping via the Internet has mushroomed in Indonesia, even very well known by the general public. The many diverse ease of shopping and various kinds of goods and services offered, making the online shop to make Indonesian society as one of the "shopping" a new addition to the shopping center. The proliferation of online shop the many business opportunities targeting teens as consumers., The advantages of online business shop apart easily in the promotion, are also highly efficient because it only requires a subscription fee for running the business. Production or sales system settings influence the level of acceptance of the company's revenue. Therefore, companies have to actually supervise and control the activities of sales and inventory by implementing an adequate system, so that the sales target can be achieved ,. Moreover how the transaction by writing to the bill of sale that takes a long time, which resulted in the customer service to be slower. Therefore store Al-Idan variation Mataram motors require a sales and information systems Stock items that can help process data documentation and solve the problems of data loss. With the computerized system, makes the process of selling and stock goods becomes faster. During this process of recording sales data and inventory simply by collecting a memorandum - a memorandum at a time and record it in a book report. With the web site at Al-Idan be easier for consumers to buy motorcycle accessories and spare parts that do not need to come to the store.


2014 ◽  
Vol 13 ◽  
pp. CIN.S19777 ◽  
Author(s):  
Tengiz Mdzinarishvili ◽  
Alexander Sherman ◽  
Oleg Shats ◽  
Simon Sherman

A computational approach for estimating the overall, population, and individual cancer hazard rates was developed. The population rates characterize a risk of getting cancer of a specific site/type, occurring within an age-specific group of individuals from a specified population during a distinct time period. The individual rates characterize an analogous risk but only for the individuals susceptible to cancer. The approach uses a novel regularization and anchoring technique to solve an identifiability problem that occurs while determining the age, period, and cohort (APC) effects. These effects are used to estimate the overall rate, and to estimate the population and individual cancer hazard rates. To estimate the APC effects, as well as the population and individual rates, a new web-based computing tool, called the CancerHazard@Age , was developed. The tool uses data on the past and current history of cancer incidences collected during a long time period from the surveillance databases. The utility of the tool was demonstrated using data on the female lung cancers diagnosed during 1975–2009 in nine geographic areas within the USA. The developed tool can be applied equally well to process data on other cancer sites. The data obtained by this tool can be used to develop novel carcinogenic models and strategies for cancer prevention and treatment, as well as to project future cancer burden.


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