A concrete age of 3 days with normal mixture without fiber produces 152.60 kg/cm² flexural strength, while the flexural strength of concrete with the addition of 0.50% bendrat fiber is 208.40 kg/cm², up 37.00% from the beginning and so does the addition of wire bendrat 2.00% is an increase of 251.00 kg/cm² 64.48%. Concrete age of 14 days with normal mixture without fibers produces strong bending 202.00 kg/cm², while the flexural strength of concrete with fiber additions of 0.50% is 276.45 kg/cm² and so also with the addition of 2.00% bendrat wire is 336.14 kg/cm² an increase of 66.41%. Concrete age of 28 days with normal mixture without fiber produces 240.00 kg/cm² flexural strength, while the flexural strength of concrete with the addition of 0.50% bendrat fiber is 319.00 kg/cm², up 33.00% from the beginning and so does the addition of wire 2.00% is an increase of 382.30 kg/cm² 59.29%. The addition of fiber wire able to dramatically increase both flexural strength of concrete at the age of 3 days and at 14 days or 28 days.

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Design an electricity generation system based on Pico power plants aimed at energy consumption in lighting of the 'Malecón Ecológico' park in the city of Neiva, to contribute with the offer of spaces for recreation in harmony with the natural environment. A study of the energy consumption of the park is carried out to define the design parameters of the generation system. Then, the necessary parameters for the installation of the power plant are evaluated in order to recognize the technology that best adapts to the conditions of the land and the needs of the users. It ends with the design of the protection and distribution system of the power plant in order to obtain an efficient use of the led lighting system. The representative values of the sampling made for the average speed were 1.70432681 m/ with the technique of digital pinwheel and 1.69715616 m/s with the floating body technique. This shows a difference of 0.007 m/s which is negligible when establishing the average speed of the river by any technique that is used. The average levels of the river are of 2.1245 m/s for the high level and 1.7505 m/s for the low level. It is recommended to dredge the site where it is planned to install the Pico-hydro power plant to keep the water level constant under critical flow conditions in order to avoid efficient operation.

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The porous granular material synthesized by firing silicate compositions based on cullet, water glass and mineral additives was studied. Introduction of additives into the glass mixture provides an additional source of gas formation in a pyroplastic material. Effectiveness of technological solutions is shown: Mechanical activation of the raw mixture, increasing proportion of the blowing agent in the molding material, preliminary heat treatment of raw granules.

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A study on the analysis of radiation adsorption dose during cranium examination with a grid was carried out at the Radiology Installation of Raden Mattaher Regional Hospital, Jambi. This study aims to determine the effect of high voltage on the radiation adsorption doses received by patients during cranium examinations with a grid and to compare the absorbency dose values obtained on the basis of standard stresses. Results indicate the effect of radiation absorbance dose on voltage. When the utilised voltage (kV) is high, the value of the produced radiation absorbance dose will be small. In the high voltage (kV) irradiation technique with phantom cranium objects, the measured dose range is 0.0856012-0.09441567 mGy. In standard irradiation (kV), the measured dose range is 0.0642225-0.3034403 mGy. The radiation absorbance dose value received by the patients during cranium examination at the Radiology Installation of the Raden Mattaher Regional General Hospital in Jambi is still far below 0.4 mGy, which is the maximum limit allowed by the Nuclear Energy Supervisory Agency.

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In the development of network technology, where development makes it easier for us to monitor and build computer networks. The Increased use of the internet will also result in improved service quality. It's not enough just to be able to connect to the internet, the performance also become a concern. Load balancing is one of the behaviors to divide the load into several servers. The purpose of load balancing is to allocate resources, maximize throughput, minimize response time, and avoid charging resources. This Final Project discusses the analysis of the Network Defined Network (SDN) network for enhancement and optimization applied using the Load Balancing technique. Parameters that are taken through the response time that goes to one server and to several clients that will be monitored by controlling the Mininet. This system is designed with the queue method and path determinant, namely ANN (Artificial Neural Network) that is able to create data and channel input data into certain categories or predetermined paths with the main role in load balancing in the Software Defined Network network to determine and cost Which means the ability to process input data without having to have an optimization target.

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In this study, the dynamic behaviour of orthotropic type of plate, without loading but with effect of damping, was analysed. The mathematical model governing such phenomenon was evaluated using finite sine integral transform method. Analytical approach was adopted throughout the study. Numerical examples were, however, carried out and it was observed that the present method is very simple to apply and performed well for the type of plate considered in this study, going by its efficiency. The results obtained are consistent with the ones in the literature. The finite integral transform is an easy method to use.

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This paper presents the test result of experimental study on flexural behavior of strengthened reinforced concrete beams by epoxy bonding steel plates to its soft. Twelve beams were tested to investigate the effectiveness of two types of epoxy glue of widely differing stiffness and the shear over span ratio. The beams were in two series, one in which strut action with shear failure dominant and the other flexure stress were governing. The results are discussed in the context of their implications for strengthening operations where the engineer is seeking to improve the deformation and cracking behavior under service loading or alternatively to increase the ultimate strength. It is shown that in deep beams where shear is the dominant factor, the use of bonded plates demonstrates no improvement in strength. It is also shown that for beams where failure is in flexure, glues of widely differing stiffness, in their hardened state, can perform satisfactorily under both service and ultimate loading. However, in general stiffer glues produced better results for service conditions and less stiff glues were better at ultimate load.

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The implementation of obstacle avoidance system is important application for robotics and in generally is most part used in many applications such as, security or military. This project applied by utilized FPGA platform (DE0-nano Board). The robot can distinguish the obstacle by using ultrasonic sensor (HRLV-MaxSonar). Perception approach and motion planning is the most basic part in this project. Ultrasonic was utilized to detect any obstacle while, the DE0-Nano board is the project platform and the characteristic of FPGA offer programmability and makes it easier to implement on different mobile robot platforms. The Sensor was integrated with the DE0-Nano board. In this project a structure VHDL coding is utilized for design the obstacle avoidance and Quartus II 13.0sp1 as a development CAD tool. The implementation of complex obstacle avoidance with FPGA platform (DE0-Nano) is possible because of the rich logic elements. A specific sensor characteristics testing was carried and robot stability to master these sensor and robot. The result for our project that already got shown the frequency for DE0-nano achieved up to 1.3 GHz, also the total logic elements was used for this project is 4,042 and shown the result for ultrasonic sensor is a high precision and higher accuracy for detection the obstacle and avoids it.

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This project provides a mechanical clamp limitation solution that should not leave marks on the clamped surface and is unable to handle small thickness of workpiece. Using a new method involving a new component that develops dual vacuum clamper to attach and detach the workpiece to the flat surface and is capable of clamping small and thin workpieces. In this project, which is reservoir will help it ability of pocket machining performance with two condition. The two conditions are air pressure from compressor through to vacuum system and one more is no air pressure from compressor. Experiments have been conducted using diameter 2mm HSS end mill and acrylic workpiece on pocket machining. The time required to run the experiment is about 30 minutes. So, the result of experiment had been taken for every 5 minutes. After the experiment, evaluation of thrust force and dimension accuracy also had been conducted. Dynamometer type 9257BAis used to evaluate the thrust force and Horizontal Optic Comparator and Coordinate Measurement Machine for analyze the diameter accuracy. As a result for thrust force, for Fx and Fy axis for both condition was stable however for Fz for both condition produced decline result as time increased. On the other hand, the result also showed that vacuum clamping contributed in better dimension accuracy with average value of 14µm for continuously pressure method and 8µm for maintain pressure method. The average dimension accuracy was produced by taken 13 points selected area on workpiece. For air pressure from compressor through to vacuum system condition, the vacuum capable of clamping the workpiece during the pocketing process which only dropped 1.7kPa from 70.3 kPa. As conclusion, this project had showed that the effectives in clamp during pocket machining using vacuum clamping method.

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Mechanical components in turbines and power plants fail frequently due to wear, corrosion, and oxidation. Cladding is a surface modification technique to minimize surface degeneration. In the present work, microwave cladding of Nickel performed for the surface and mechanical enhancement of S45C mild steel. The home microwave was successfully used to carry out the cladding procedures by Microwave Hybrid Heating [MHH] method. Physical and mechanical properties improved with microwave cladding. The devolved microwave clad have potential application in wear resistance product manufacturing.

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Geodesic domes are self-supporting spatial structures without additional support. When they are broken down into their elements, geodesic lines are used. In this area, the research into geometric models of double-contour geodesic shells is conducted. The features of these works include the use of trihedral and hexagonal pyramidal structures as the first contour of the geodesic shell. However, for the formation of such structures, tetrahedral pyramids can also be used. The purpose of this research is to develop methods, algorithms and software for double-contour geodesic shells with tetrahedral pyramids. To solve these problems, the duality principle was used, in addition to methods of analytic geometry and programming in language GDL embedded in ArchiCAD. As a result, the ArchiCAD parametric object of a double-contour geodesic shell with tetrahedral pyramids has been developed. This program can be used in the architectural and structural design of unique buildings.

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Abstract:

The article deals with the quality of bachelors and masters training in the construction majors, capable offering and implementing fundamentally new technical and technological approaches in modern construction design based on the integration of the knowledge obtained from various fields of science and technology. The article presents the experience of implementing interdisciplinary connections using building information modeling technologies (BIM-technologies) in the course of study of general professional and special disciplines, in particular, the concept of an approach to the study of BIM-technologies products, such as Autodesk Revit (Revit) and Autodesk Robot Structural Analysis Professional (Robot) through the implementation of course and diploma projects. The tools of these products allow currently organizing two-way data exchange between them.

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This project involves the filling automation and dosing control of a sulfuric acid storage tank with a capacity of 20000 liters. The filling control to carry out the reaction of sulfuric acid with bauxite more precisely avoiding risks and accidents to workers is proposed. To achieve this, a system that uses a flow sensor, a transmitter, and a PLC (Programmable Logic Controller) which performs the control actions on the solenoid valves and the centrifugal pump has been designed and implemented. Also, an HMI (Human Machine Interface) that allows the operator to manipulate and interact with the system to perform storage and dosing operations automatically or manually is performed. As a result of this work, a system in which the operator can store and dose sulfuric acid automatically or manually from the operating panel safely is achieved.

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Today aluminum alloys are widely used in the industry. Therefore, improving the quality of castings from aluminum alloys is one of the essential tasks in the field of foundry. This is achieved by the development of new alloy compositions, their modification, refining, and heat treatment. The purpose of this research was to study the effect of processes occurring at the eutectic transformation temperature range on the formation of the structure of the aluminum-mini-copper alloy. The influence of processes developing in the temperature range 5-7°C above the onset of eutectic transformation temperatures on the formation of the alloy structure was studied. The research showed that the microstructure of the eutectic aluminum-copper alloy is divided into separate components with their subsequent combination (a-solid solution and CuAl2 phases). Based on the study on Al - 33% Cu and Al - 12% Si alloys, it can be stated that being slightly overheated, microstructures with dispersed phases are formed at the eutectic equilibrium temperature range, both in the eutectic components and secondary phases.

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As we know, there are a lot of different types of animal exist in the forest. Some of them are rare animals that are protected by government. Technology can help people discover the condition of animal that is protected by the government. With the forest characteristic, Deep learning is a multilayer neural network, a kind of machine learning based on pattern recognition from input data; it has a property of unsupervised features learning which mean it can learn a datasets that only contain with few labeled data than unlabeled data which is important in image recognition method. There are some of deep learning methods such as CNN, DBNs and auto-encoders. In this paper we using TensorFlow an open source library for numerical computation, specializing in machine learning developed by Google Brain. TensorFlow is library that used in deep learning methods it similar to convolutional neural networks (CNN). The methods using inception a huge image classification model with millions of parameters that can differentiate a large number of kinds images [poets], to classified and training image data layer by layer. We using TensorFlow as architecture to image detection system for detection and recognize an endangered animal at way kambas animal conservation. This image detection system could help researcher’s detection and recognition one of endangered animal (Dicerorhinus sumatrensis) Sumatran rhino which population in the end of 2015 approximately 100 in the wild. TensorFlow get the accuracy 95% of all images get by system.

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The climate change propagates the magnitude and variability of rainfall received at local areas. Statistical analysis of rainfall measurements usually uses to observe the influence of this global phenomena on specifics location. This research aims to analyze the annual rainfall trend in East Java. The daily rainfall data from 237 locations used as the input for this study. The spatial and temporal variability of annual and monthly rainfall performed by Histogram visualization of rainfall data amongst sub-region. Three statistical methods (i.e., Median-Crossing, Mann-Kendall, and Rank-Sum Test) use for the analysis. Annual rainfall data range from 1980 to 2015 evaluated using those three statistical tests. The spatial variability of annual rainfall trends in specific regions visualised using the histogram. The result shows that a few locations have a positive trend of annual rainfall over the two decades. While other sites indicate no significant trend, this study also produces thematic maps showing the value of trends in each location.

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The purpose of this study is to study the effect of adding chemical elements contained in used lubricants which burn in cylindrical tube moulds on the hardness of aluminum alloys. Chemical elements in used lubricants have increased the hardness of aluminum alloys. The hardness of aluminum alloy which is not added with used lubricant, then the hardness is 57, 982 BHN, while by adding 6 ml used lubricant, the average hardness value is 61,439 BHN while adding 12 ml, the average hardness value decreases to 61, 271 BHN. This decrease is not too large, but it is noted that the value of hardness tends to decrease. When compared to the difference in the magnitude of the chemical composition between the sample pieces that are not so large, it can be said that the casting of bars is homogeneous.

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Hadoop is a MapReduce framework with an open source implementation which is basically employed in scholastic and engineering for big data analysis. The MapReduce framework is usually employed to assess huge datasets like tweets collections, online documents or large scale graphs. Sentiment classification is the significant part in text mining to categorize documents based on their opinion or sentiment. In sentiment classification, documents can be signified in the feature vector form utilized in machine learning algorithms to carry out classification. The feature selection process with the feature vectors is essential. In this work, presents Term Frequency (TF) based feature extraction method is employed. A feature selection method called Information Gain (IG) and Particle Swarm Optimization (PSO). Binary PSO (BPSO) is the binary version of PSO and can be useful to feature selection domain. The presented feature selection methods object to remove noisy, unrelated, or inappropriate features that may worsen the performance of classification. Naive Bayes (NB) classifier helps to develop the classification presentation. Investigational consequences prove that the PSO based feature selection process attains greater NB classification performance than IG based feature selection.

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Water is the most of basic needs of living things. The need of water tends to increase for daily life, industrial agricultural, and livestock. Due to of population growth, the need of residential areas has increased. This mean that water consumption increased so the amount of water has become limited. This study aimed to identifying the depth of groundwater in Tanah Mas area, North Semarang, Semarang City. This study used the VES resistivity geoelectrical method with Schlumberger configuration. In Schlumberger configuration, the voltage electrode distance is much smaller than the current electrode distance. Research data were taken by Resistivity meter Naniura NRD 22 S in five locations with stretch length of 200 meters. Data were processed using Microsoft Excel, Ip2win,dan Rockworks software's. The result of this study were found rock layers below the surface consists oftop soil, clay and sand layers. The groundwater were found is a shallow aquifer which is believed to be in the sand layer from 9.92 to 37.70 meters depth. 2D and 3D form were modeled to explained the distribution and depth of groundwater.

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