scholarly journals Penentu Jarak Tembak Berdasarkan Kerusakan Proyektil Timah Tanpa Jacket untuk Senjata Api Genggam Jenis Revolver S&W Kaliber .38 Spesial pada Target Tulang

2015 ◽  
Vol 17 (3) ◽  
pp. 135
Author(s):  
Sudibyo Sudibyo
Keyword(s):  
Target Location ◽  
Target Position ◽  
Real Data ◽  
Criminal Cases ◽  
Shape Coefficient ◽  
A Value ◽  
Technical Specifications ◽  
Table Data ◽  
Throw Distance ◽  
Test Firing

Abstract This study aims to predict the shooting range based on damage the type of lead a projectile without jacket caliber.38 special fired from handguns kinds brand Revolver S & W caliber .38 specials. Based on the phenomenon of criminal cases of abuse handguns types Revolver and the fact that real data it was found that 8% of the amount of lead projectiles without jacket as forensic evidence, the condition has broken the deformed moderate to severe.         The study was conducted at the Police Forensic Laboratory experimental method test-fired in the shooting box at short throw distance range of 0.5 to 6 meters , where the bone is positioned at the target position changes location every 0.5 meters, so the total number of shots is 12 times shot on 12 position target location, and finally obtained 12 variations of deformation projectile shot results.        Stages test firing conducted through three stages as follows: 1). Phase sample preparation equipment and materials firearms, bullets and target bone. 2). Phase shooting target accurately. 3). Stages of deformation measurements and weighing projectile, arranged in the form of table data.        Material samples of bullet used was the type of lead bullets without jacket caliber .38 special with technical specifications diameter of projectile 9.09 mm (real 9.05 mm), length of projectile 17.90 mm (real 18.61 mm), projectile material lead antimony, projectile weight of 10.25 grams, muzzle velocity (initial) 265 m / sec, rounded nose shape, coefficient of form C = 2, the ballistic coefficient i = 0,9 effective range or the distance accurately of 25 meters.        Material samples of bone were used as target is 1694 SR veal ribs with bone hardness values (87 ± 1.5) shore, is used for the calibration test firing, a human skull age adults (≥ 35 years) with a value of hardness (78 ± 6 ) shore, is used as the target subjects of research, human ribs (costal C-3 / C-6) adult (≥ 35 years) with a value of hardness (69 ± 19.5) shore, is used as the target subjects of research. Keywords : deformation; projectiles; bones

Analysis of regional economic evaluation based on machine learning

2020 ◽  
pp. 1-11
Author(s):  
Xiaoying Xu ◽  
Zhijian Zeng
Keyword(s):  
Economic Development ◽  
Economic Evaluation ◽  
Regional Economy ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Real Data ◽  
Entropy Weight ◽  
Regional Economic ◽  
Economic Strategy ◽  
Table Data

The regional economic evaluation and analysis has guiding significance for the subsequent economic strategy formulation. Due to the influence of various factors, the volatility of some current economic evaluation models is relatively large. According to the needs of regional economic evaluation, this study uses computer technology combined with regional economic development to build an economic development evaluation model to evaluate and analyze the regional economy. Through comparative analysis, this study selects the entropy weight-TOPSIS model as the comprehensive evaluation model of regional economy, uses the entropy weight method to determine the weight of each index, and then uses the TOPSIS method to conduct comprehensive evaluation. In addition, this study designs a control experiment to analyze the performance of this study model. Moreover, this study uses the model proposed in this study to conduct regional economic evaluation in recent years, and compares it with real data, and observes the test results with statistical charts and table data. The research results show that this research model has a certain effect, which can provide analytical tools for the follow-up economic strategy research and analysis.

A Neural Network Model of Flexible Spatial Updating

2004 ◽  
Vol 91 (4) ◽  
pp. 1608-1619 ◽  
Author(s):  
Robert L. White ◽  
Lawrence H. Snyder
Keyword(s):  
Neural Network ◽  
Reference Frame ◽  
Spatial Information ◽  
Target Location ◽  
Target Position ◽  
Spatial Location ◽  
Spatial Updating ◽  
Gaze Shift ◽  
Fixed Reference ◽  
Gaze Position

Neurons in many cortical areas involved in visuospatial processing represent remembered spatial information in retinotopic coordinates. During a gaze shift, the retinotopic representation of a target location that is fixed in the world (world-fixed reference frame) must be updated, whereas the representation of a target fixed relative to the center of gaze (gaze-fixed) must remain constant. To investigate how such computations might be performed, we trained a 3-layer recurrent neural network to store and update a spatial location based on a gaze perturbation signal, and to do so flexibly based on a contextual cue. The network produced an accurate readout of target position when cued to either reference frame, but was less precise when updating was performed. This output mimics the pattern of behavior seen in animals performing a similar task. We tested whether updating would preferentially use gaze position or gaze velocity signals, and found that the network strongly preferred velocity for updating world-fixed targets. Furthermore, we found that gaze position gain fields were not present when velocity signals were available for updating. These results have implications for how updating is performed in the brain.

Path optimization for navigation of a humanoid robot using hybridized fuzzy-genetic algorithm

2019 ◽  
Vol 7 (3) ◽  
pp. 112-119 ◽  
Author(s):  
Asita Kumar Rath ◽  
Dayal R. Parhi ◽  
Harish Chandra Das ◽  
Priyadarshi Biplab Kumar ◽  
Manoj Kumar Muni ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Fuzzy Logic ◽  
Path Planning ◽  
Humanoid Robot ◽  
Fuzzy Logic Controller ◽  
Target Location ◽  
Target Position ◽  
Content Type ◽  
Hybrid Controller ◽  
Fuzzy Genetic

Purpose Humanoids have become the center of attraction for many researchers dealing with robotics investigations by their ability to replace human efforts in critical interventions. As a result, navigation and path planning has emerged as one of the most promising area of research for humanoid models. In this paper, a fuzzy logic controller hybridized with genetic algorithm (GA) has been proposed for path planning of a humanoid robot to avoid obstacles present in a cluttered environment and reach the target location successfully. The paper aims to discuss these issues. Design/methodology/approach Here, sensor outputs for nearest obstacle distances and bearing angle of the humanoid are first fed as inputs to the fuzzy logic controller, and first turning angle (TA) is obtained as an intermediate output. In the second step, the first TA derived from the fuzzy logic controller is again supplied to the GA controller along with other inputs and second TA is obtained as the final output. The developed hybrid controller has been tested in a V-REP simulation platform, and the simulation results are verified in an experimental setup. Findings By implementation of the proposed hybrid controller, the humanoid has reached its defined target position successfully by avoiding the obstacles present in the arena both in simulation and experimental platforms. The results obtained from simulation and experimental platforms are compared in terms of path length and time taken with each other, and close agreements have been observed with minimal percentage of errors. Originality/value Humanoids are considered more efficient than their wheeled robotic forms by their ability to mimic human behavior. The current research deals with the development of a novel hybrid controller considering fuzzy logic and GA for navigational analysis of a humanoid robot. The developed control scheme has been tested in both simulation and real-time environments and proper agreements have been found between the results obtained from them. The proposed approach can also be applied to other humanoid forms and the technique can serve as a pioneer art in humanoid navigation.

scholarly journals Research on target location of unmanned aerial vehicles in parallel path

2020 ◽  
Vol 309 ◽  
pp. 04002
Author(s):  
Huadong Luo ◽  
Jun Yan ◽  
Haifeng Ling ◽  
Guangna Zhang ◽  
Qing Wang ◽  
...  
Keyword(s):  
Coordinate System ◽  
Target Location ◽  
Vision System ◽  
Direction Cosine ◽  
Weighted Average ◽  
Target Position ◽  
Detection Algorithm ◽  
Target Point ◽  
Parallel Path ◽  
Direction Information

This paper mainly studies how to use the stereo vision system that combines the monocular vision with parallel path search to locate the target. When the unmanned aerial vehicle (UAV) searches in the mission area according to the parallel path, the SSD image detection algorithm based on deep learning is adopted to detect and identify the target in the area. The image coordinate information is inversely calculated by using the pixel coordinate information fed back by machine vision. The auxiliary coordinate system is established according to the relationship of angle position between the track line and the basic coordinate system in the parallel path. Combining the position relation and the attitude direction information of UAV, the target position conversion relation between the imaging coordinate system and the auxiliary coordinate system is solved by using the direction cosine matrix. Combined with the coordinate information of UAV, the coordinate position of the target point in the basic coordinate system is finally solved through three coordinate conversion operations. In order to avoid the single calculating error of the target coordinates, the weighted average operation is carried out. On the basis of not changing the search trip of the parallel path, the target location function is preliminarily realized through the reverse solution and the weighted average operation of the target coordinates.

Visual Remapping by Vector Subtraction: Analysis of Multiplicative Gain Field Models

2007 ◽  
Vol 19 (9) ◽  
pp. 2353-2386 ◽  
Author(s):  
Carlos R. Cassanello ◽  
Vincent P. Ferrera
Keyword(s):  
Target Location ◽  
Target Position ◽  
Saccadic Eye Movements ◽  
Neural Mechanism ◽  
Spatial Modulation ◽  
Eye Position ◽  
Retinal Position ◽  
Population Activity ◽  
Firing Rates ◽  
The Brain

Saccadic eye movements remain spatially accurate even when the target becomes invisible and the initial eye position is perturbed. The brain accomplishes this in part by remapping the remembered target location in retinal coordinates. The computation that underlies this visual remapping is approximated by vector subtraction: the original saccade vector is updated by subtracting the vector corresponding to the intervening eye movement. The neural mechanism by which vector subtraction is implemented is not fully understood. Here, we investigate vector subtraction within a framework in which eye position and retinal target position signals interact multiplicatively (gain field). When the eyes move, they induce a spatial modulation of the firing rates across a retinotopic map of neurons. The updated saccade metric can be read from the shift of the peak of the population activity across the map. This model uses a quasi-linear (half-rectified) dependence on the eye position and requires the slope of the eye position input to be negatively proportional to the preferred retinal position of each neuron. We derive analytically this constraint and study its range of validity. We discuss how this mechanism relates to experimental results reported in the frontal eye fields of macaque monkeys.

Determination of Trackball and End Effector Diameters in Laparoscopic Tools

2005 ◽  
Vol 49 (18) ◽  
pp. 1710-1713
Author(s):  
A.E. Trejo ◽  
M.-C. Jung ◽  
M.S. Hallbeck
Keyword(s):  
Target Location ◽  
Target Position ◽  
Initial Position ◽  
End Effector ◽  
Independent Variables ◽  
Straight Line ◽  
Left And Right ◽  
Time Accuracy ◽  
Laparoscopic Tools

As part of a continuous effort of reaching the optimal use of the intuitool, a study was conducted to identify the optimal diameter combination between the trackball and the end effector ball. The task was to simulate the end effector movement during an operation, using different diameter combinations. Twenty students performed the trackball-controlling tasks to move the end effector from an initial position to designated circular-shaped targets. The trackball diameters were 19 mm and 40 mm, and those of the end effector balls were 3 mm, 5 mm, and 10 mm. There were four targets: right, left, up, and down. Travel time, accuracy, and trail deviation were measured as independent variables. Accuracy was not a significant factor showing that all participants followed instructions to reach each target as accurately as possible. The time to reach the target depended both on target location and trackball to end effector ratio individually and in their interaction. It was quickest to get to the upper target compared to all other locations. Trial deviation depended only on the target position and the target location and ratio interaction. The performance of going in a straight line was best for the left and right directions as opposed to up and down using the trackball.

A Model of Dynamic Output under Fixed-Interval Schedules of Reinforcement

1983 ◽  
Vol 35 (2b) ◽  
pp. 157-167 ◽  
Author(s):  
J. H. Wearden
Keyword(s):  
Uniform Distribution ◽  
Real Data ◽  
Fixed Interval ◽  
Output Parameter ◽  
Schedules Of Reinforcement ◽  
Output Level ◽  
Random Factor ◽  
A Value ◽  
Dynamic Output ◽  
Clustering Dynamics

A model of the dynamics of output under fixed-interval schedules of reinforcement is presented. This model primarily involves two processes: a reflex reserve-type mechanism (leading to output in successive intervals being inversely related), and a repeat output mechanism (in which the output level of the previous interval is simply repeated). On a particular interval, one or other process is followed; thus, the model has one parameter, the probability of a repeat ouput. In addition, a random factor (a value selected from a uniform distribution about zero output) is added to the output to simulate real data. Within the model, previously discrepant results from studies employing autocorrelation analyses of behaviour dynamics are seen to require small variations in the repeat output parameter. Output of the model also exhibits the more complex directional and clustering dynamics recently discovered. In general, the model is able accurately to simulate all the known characteristics of dynamic output under fixed-interval schedules.

scholarly journals PENGARUH PENAMBAHAN LIMBAH KARET BAN LUAR PADA LAPIS TIPIS ASPAL PASIR (LATASIR) TERHADAP KARAKTERISTIK MARSHALL

2018 ◽  
Vol 2 (2) ◽  
pp. 54
Author(s):  
Fakhrul Rozi Yamali
Keyword(s):  
Coarse Aggregate ◽  
Heavy Traffic ◽  
Asphalt Mixture ◽  
Fine Aggregate ◽  
A Value ◽  
Waste Rubber ◽  
Marshall Test ◽  
Local Roads ◽  
Technical Specifications

The mixture of asphalt sand or often called as LATASIR (a thin Layer of asphalt Sand) is often used on the streets as light as local roads or road environment, in order to restrain the rate of water so as not to enter into pores in it. This mixture consists only of fine aggregate or sand or a mixture of both, so of coarse aggregate is not found in its alloy, so have the resilience of the Groove (rutting) are low and cannot be used on roads with heavy traffic or the area slopes. To improve the quality of asphalt mixture Latasir then do the addition of waste tire rubber out of the motor. This research was conducted with the marshall test asphalt plan levels, with 7%, 8%, 9%, 10% and 11% in advance. After obtained the value levels of Optimum Asphalt (KAO), then do the test with the addition of marshall rubber tyres outside the motor of 1%, 2%, 3%, 4% and 5% against weight. The research results obtained a value of 9.8%, KAO then conducted testing of marshall by using a variation of the rubber tyres outside the motor changes characteristic of Marshall, the degree of suppleness and durability is better, but there is a cavity the air that many great VIM or value, so that the value of the VFA became small. From all levels of rubber in asphalt has a great degree of flexibility in rubber 3%, but that filled the whole terms of the 2010 revision 3 technical specifications on levels of 1.5% rubber.Keywords: Latasir Mixture, KAO, Waste Rubber Tyres Outside Motor, Marshall

scholarly journals Effects of target location and uncertainty on reaching movements in standing position

2012 ◽  
Vol 26 (3) ◽  
pp. 485-493 ◽  
Author(s):  
Luiz de França Bahia Loureiro Junior ◽  
Sandra Maria Sbeghen Ferreira de Freitas ◽  
Paulo Barbosa de Freitas
Keyword(s):  
Reaction Time ◽  
Target Location ◽  
Movement Time ◽  
Target Position ◽  
Standing Position ◽  
Reaching Movements ◽  
Radial Error ◽  
Arm Reaching ◽  
The Right

The effects of target location and uncertainty of target position on reaching movements while standing were investigated. Ten healthy, right-handed adults stood facing a 17'' touchscreen. They were instructed to press with their right index fingertip a push bottom and touch the center of the target displayed on the screen after it was lighted on, moving quickly their arm. The target was shown either ipsi- or contralateral to the right arm and either in a certain or uncertain position. Reaction time (RT), movement time (MT), and radial error (RE) were assessed. Results revealed shorter RT (≈ 35 ms) and smaller RE (≈ 0.19 cm) for certain than for uncertain condition and slightly longer RT (≈ 8 ms) and MT (≈ 18 ms) for reaches towards the contralateral target. In conclusion, the findings of this study showing the effect of uncertainty of target location as well as target position are also applied to arm reaching in standing position.

scholarly journals Interceptive capturing in large-billed crows: Velocity-dependent weighing of prediction of future target location and visual feedback of current target location

2020 ◽  
Author(s):  
Yusuke Ujihara ◽  
Hiroshi Matsui ◽  
Ei-Ichi Izawa
Keyword(s):  
Visual Feedback ◽  
Target Location ◽  
Target Position ◽  
Head Movements ◽  
Target Velocity ◽  
Moving Target ◽  
Tight Coupling ◽  
Motor Systems ◽  
Feedback Mechanisms ◽  
Behavioural Experiment

AbstractInterception of a moving target is a fundamental behaviour of predators and requires tight coupling between the sensory and motor systems. In the literature of foraging studies, feedback mechanisms based on current target position are frequently reported. However, there have also been recent reports of animals employing feedforward mechanisms, in which prediction of future target location plays an important role. In nature, coordination of these two mechanisms may contribute to intercepting evasive prey. However, how animals weigh these two mechanisms remain poorly understood. Here, we conducted a behavioural experiment involving crows (which show flexible sensorimotor coordination in various domains) capturing a moving target. We changed the velocity of the target to examine how the crows utilised prediction of the target location. The analysis of moment-to-moment head movements and computational simulations revealed that the crows used prediction of future target location when the target velocity was high. In contrast, their interception depended on the current momentary position of the target when the target velocity was slow. These results suggest that crows successfully intercept targets by weighing predictive and visual feedback mechanisms, depending on the target velocity.

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