bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on Gesture Recognition Based on Improved Canny & K-Means Algorithm and CNN
Authors: Zhang Hai , Li Shixin , Liu Xiaoyu
Published: March 2020

In view of the problem that the current dynamic gesture recognition system has decreased recognition rate and recognition speed due to the increase of sample size,in this study, we first use the improved Canny operator to detect the edge of the hand image. The improved algorithm includes two aspects: one is to generate HSV space image converted from RGB space and extract the V-component image; the other is to transform the traditional Gauss filter into a bilateral filter which integrates spatial distance and similarity to denoise;Then the improved K-means clustering algorithm is used to extract the feature points on the edge of the hand image. In the improved method, the pixel points at the peak of histogram are used as the initial clustering center, and the number of peak points is used as the number of classification;Then, the detection algorithm of convex hull and convex defect with geometric features is used to realize the effective fingertip tracking;Finally, CNN is used to achieve the precise sorting of fingertips.After verification, this synthesis algorithm can effectively solve the problems such as the difficulty to accurately detect the hand image contour, the poor fingertip tracking effect and the disorder of fingertip sorting caused by the similarity of background color and skin color, and the small difference between the length of fingers. With the increase of sample size, the recognition rate and speed have also improved, which can be widely used in dynamic gesture recognition and other fields.
The Research on Eco-design and Eco-efficiency of Life Cycle Analysis
Authors: Wang Lizhe , Bai Jianbo , Wang Hejin
Published: March 2020

This paper focuses on utilizing the life cycle analysis and other assumptions. For the life cycle cost section, the market price of one set of front loading washing machine is considering the cost for each life cycle stage that could be acquired from the data sources. Additionally, the LCC analysis could compare the initial investment options of the current front loading washing machine which calculated by a series of formulas and identified the minimum cost in each life cycle stage. According to the LCA and LCC results during the entire life cycle stages of the front loading washing machine, the procedure of eco-design could improve the hotspots of ecological impacts and reduce the pending expenses through some radical measures. Therefore, reducing energy consumption and improving the recycling rate would immensely enhance the hotspots of the redesigned product.
Determination of Total Mercury in Rain Water by Chemical Vapor Atomic Fluorescence Spectrometry
Authors: Li Risheng , Deng Xu
Published: March 2020

We report a facile method to determine total mercury in rain water by chemical vapor atomic fluorescence spectrometry and optimize the method conditions, which were carrier gas flow rate, Shielding gas flow rate, Hydrochloric acid concentration, Potassium borohydride concentration, etc. In the optimal conditions, the Correlation coefficient(r) was more than 0.998, detection limit is less than 0.0005ng/mL, and the recovery was from 93%.
Research on Noise Diagnosis for Sweeping Vehicle Based on ANFIS
Authors: Wang Jiaxuan , Li Zhuang , Xu Zhichao , Zhang Zhifu , Xia Shuang , Huang Qibai
Published: March 2020

Aiming at the lack of method on noise diagnosis for sweeping vehicle, this paper proposes a vehicle noise diagnosis scheme based on adaptive fuzzy neural inference system (ANFIS). The paper explains the principle of ANFIS in the field of noise diagnosis, and performs a noise test on a sweeping vehicle. The spectrum analysis is utilized to obtain the data for ANFIS network training, inference and verification. Combined with ANFIS theory, the noise source distribution of the sweeping vehicle is inferred and verified. The results show that the noise source diagnosis method based on ANFIS is feasible and effective for the sweeping vehicle. Furthermore, the method can provide a reference for the similar situation where only parts of the noise sources are known.
Discussion of 16QAM with 3bit Information
Authors: Hu Ziyang , Yu Jintao
Published: March 2020

Aiming at the improvement of the modulation scheme of the underlying link of the optical transport network, under the condition of 3 bits of information entropy, the possible improvement of the 16QAM modulation format is explored from the aspects of the number, position and probability distribution of constellation points. The effectiveness of the improved 16QAM modulation is illustrated by comparison with the original 16QAM and 8QAM modulation.
Target Searching for Multiple Robots Using Hybrid Particle Swarm and Bacterial Foraging Optimization
Authors: Zhang Qian , Wu Xu , Qi Xiaoqian
Published: March 2020

Particle Swarm Optimization (PSO) and Bacterial Foraging Optimization (BFO) are both important algorithms in target searching tasks. A hybrid optimization algorithm with the advantages of PSO and BFO is proposed to overcome local minimal and slow global convergence in target searching for multiple robots. Simulation on an example of target searching is conducted to show the effectiveness of the proposed approach.
Research on the Robustness of Domestic Airline Route Network under Perspective of Complex Network
Authors: Zheng Jiaxi
Published: March 2020

In order to comprehensively improve the operation and management level of domestic routes of air transport enterprises, this paper studies the domestic routes of air transport enterprises from the perspective of complex networks. Firstly, the domestic route network model of the air transport enterprises is constructed based on the national flight running time. Secondly, the complexity of the airline route network is tested according to the statistical analysis of the small world network model. Thirdly, the robustness of the complex network is studied from the perspectives of random attack and deliberate attack. Finally, based on the research results, the methods and strategies for optimizing the domestic airline route network are proposed.
Study on Dust Measurement Technology by Oscillating Balance Method
Authors: Tu Yanbo , Tong Renyuan , Li Qing
Published: March 2020

By comparing the advantages and disadvantages of various dust measurement methods, the oscillating balance method is chosen to measure dust. According to the measuring principle of the oscillating balance method, a particle weighing device based on the oscillating balance method is developed. The device avoids the interference of temperature, humidity and mutual inductance to the magneto-electric speed sensor, improves the amplitude of the magneto-electric speed sensor to receive the oscillation signal, and improves the signal-to-noise ratio of the system as much as possible. According to the phase-frequency characteristics of the oscillating system, an overall structure of the system is designed. The system consists of a drive module, harmonic oscillator, measurement module, and phase-locked loop automatic phase modulation circuit and frequency measurement module. These five modules constitute a system that can automatically adjust the natural frequency. And the list confirms the accuracy of the frequency that is measured by FPGA and STM32 processor. The dust mass is calculated according to the formula. Finally, the reliability of the device is confirmed by a parallel comparison with the internationally recognized filter membrane weighing method. The reliability of the device is confirmed.
Intelligent Tomato Picking Robot System Based on Multimodal Depth Feature Analysis Method
Authors: Jin Zhongming , Sun Wei , Zhang Jing , Shen Chen , Zhang Hongyu , Han Shuqing
Published: March 2020

In order to achieve monomer picking and string picking of tomato fruit. The tomato image was obtained by binocular camera, and the preliminary search of tomato fruit was carried out. Then the second close-up camera was used to obtain the accurate image of tomato fruit. The improved Deeplab model was used to complete the recognition and localization of tomato fruit, and the fruit was detected by Harris algorithm. The corner point of the fruit stem of the first fruit bifurcation point and the stem of the plant is determined as the position of the cut point of the tomato fruit stem. The robotic arm, the end effector and the mechanical knife are controlled to complete the picking of the individual tomato fruit and the string of tomato fruits, providing a solution for the manual picking of the replacement tomato.
Dual-objective Programming Model for Equipment Resource Allocation and Its Algorithm Implementation
Authors: Hong Wang
Published: March 2020

This paper in view of the allocation of equipment resources in enterprise groups is studied. Firstly, it introduces the 0-1 decision variable, and takes the order group self-made processing period, equipment resource condition and self-made parts processing status as constraints, emphasizing the processing quality control of the self-made parts required for key important features. A dual-objective programming model of equipment resource allocation based on quality and cost is constructed, and the dual-objective function is transformed into a single objective function by linear weighting method, and then, the improved honey evolutionary genetic algorithm is used to solve it. Finally has carried on the simulation analysis, the simulation analysis results show that the resource allocation dual-objective programming model and the algorithm are effective.
A Method for Rapid Virtual Assembly Generation from Physical Devices
Authors: Lin Chen , Wang Jianxing , Lin Hong , Lin Xiaobin
Published: March 2020

The creation of virtual assembly models for these devices would be a valuable supplement for the purpose of education. To reduce the time and human resources in the creation of virtual assembly models, this paper presents a rapid virtual assembly generation method based on physical devices, which employs a 3D scanner for raw 3D data acquisition, GEOMAGIC DESIGN X, ANARK CORE WORKSTATION and VIZARD as software tools for the creation of virtual assembly interaction. The experimental results show that this method can rapidly visualize physical devices, shorten development cycle and reduce development time and cost.
Design of Express Recyclable Packaging Bag Based on Green Environmental Packaging Material
Authors: Ren Xiang , Wang Yuhui
Published: March 2020

With the increasing number of parcels in China’s express industry, how to make express packaging Green has become a critical issue for the development of the express industry. This paper analysed the current situation of express packaging materials, PEST analysis and SWOT analysis were carried out on the use of Green Express packaging materials, and a green shared express packaging bag was designed, which provided a way for the “green development” of express packaging materials.
Analysis of government roles in garbage classification
Authors: Yue Shuya , Shi Xiuhua
Published: March 2020

Waste sorting management has been popular in foreign countries. China started late and has a low technical level. It is still in the development stage. This paper analyzes the theoretical problems of urban domestic waste classification management at home and abroad. Management provides a reference.
Value Assessment Model of Ecosystem Services Based on PSR Model
Authors: Li Jifan
Published: March 2020

In recent years, the rapid development of economy has led to some environmental degradation problems. Therefore, we need to seek better measures that include the value of ecosystem services (ESV) to fully reflect the multiple impacts of economic development. We combine the PSR model with the dynamic ecosystem service value evaluation model and propose rationalization suggestions for the planners and managers of the land development project.
Loosely Coupled Environmental Iot Architecture and Application
Authors: Zhao Zhengyi , Li Liang , Han Xiaxi , Zhang Shaoyang
Published: March 2020

In the traditional environmental protection tax collection, the discharge caliber of taxable pollutants is inconsistent, the authenticity of sensor data is difficult to guarantee, and information islands are common. Aiming at these problems, a loosely coupled environmental IoT architecture is proposed and implemented. The sensor data access layer achieves compatibility with mainstream sensors in the market, reduces the situation that can only rely on the original sensor manufacturers, and uses the lightweight text data format JSON to deliver messages to improve the transmission rate; the sensor data management layer utilizes big data. Technology, integration and management of various types of sensor data, laying the foundation for data analysis and data fusion; the integrated application layer uses the C4.5 algorithm to construct a decision tree model, and senses the state of the front-end sensing device to ensure the authenticity of the sensor data. The experimental results show that the proposed method can sense the real state of the front-end sensing device and realize the accurate collection of environmentally-friendly IoT taxable pollutants.
The Development and Problems of China’s Carbon Market
Authors: Song Haiyun , Zhang Xiaoxuan , Zhang Gao
Published: March 2020

Following the pilot carbon market, China officially launched the construction of a national carbon market in December 2017. This paper mainly analyzes the construction of national carbon market and the development status of pilot carbon market, and puts forward the main problems faced by the construction of national carbon market. This paper holds that the national carbon market has some difficulties in its own construction, such as total amount setting and quota allocation, and also faces the problems of coordination between carbon market and electricity market, carbon price and electricity price.
Study on Rating Method of Nuclear Events in Marine Nuclear Power Plant
Authors: Chen Yuqing , Liu Junteng , Cai Qi , Li Ang
Published: March 2020

According to the operational safety characteristics of marine nuclear power plant and the nuclear safety rating needs of nuclear ships in case of abnormal events during sea navigation, the rating evaluation standards are established referring to the international nuclear event rating table, which consider three aspects of “radioactive safety impact”, “defense in depth capability impact” and “power output impact” in abnormal events. The potential common cause characteristics of the event are additionally considered. Then the rating procedure for nuclear safety events of marine nuclear power plant is proposed. The study is of great significance for accurately evaluating the severity of abnormal events and effectively guaranteeing nuclear safety of marine nuclear power plant.
Leakage Monitoring Technology of Oil Pipeline and Its Application
Authors: Xu Lu , Zhao Yu , Bai Xiaoqian
Published: March 2020

This paper analyses the leak detection methods of oil pipelines at home and abroad, and probes into the anti-theft monitoring methods of oil pipelines in oilfields. Aiming at the problem of oil pipeline anti-theft monitoring, the key technology of oil pipeline anti-theft monitoring system is pipeline leakage detection alarm and accurate location of leakage point. The application of oil pipeline leakage monitoring system is introduced. Introduction.
Based on Entropy Weight---Fuzzy Comprehensive Method of Evaluations on the Soil Nutrients of Added Cultivated Land--- A Case Study in Yaozhou District, Tongchuan City, Shaanxi Province
Authors: Shi Chendi , Li Juan , Lu Yangjie
Published: March 2020

In this paper, through the sampling analysis, the entropy weight---fuzzy comprehensive evaluation was adopted to distribute the weight of added cultivated land fertility in Yaozhou District, Tongchuan City, and the soil fertility in the region was further evaluated. At the same time, the main limiting factor impacting soil fertility of the added cultivated land was put forward. The results indicate that 1) Indicators of soil fertility weight of newly-increased farmland in Yaozhou District, Tongchuan City Land Remediation Project is 0.3227 for organic matter, 0.1611 for total nitrogen, 0.2319 for available phosphorus, and 0.2843 for available potassium.2) The soil fertility scores of these farmland in Yaozhou District, Tongchuan City under the land consolidation project are dispersed with values ranging from 17.3 to 50.0 points, with the mean of 26.2 points. 3) Soil total nitrogen (TN) and soil organic matter (SOM) are the major factors behind low soil fertility indexes. The extent of their impact on soil fertility is ranked as follows: TN>SOM. 4) TN and SOM are the most important constraints which lead to low soil fertility of new farmland. The most effective way to improve the composite index of soil fertility is that the content of TN and SOM in the soil should be increased successively. 5) The adoption of a combination of Analytic Hierarchy Process and weight comparison method has yielded good results in evaluating soil fertility, which implies broad prospect of application.
Spatial Correlation of Water Innovation Efficiency in the Yangtze River Economic Belt
Authors: Zhao Xiaoke , Li Huirong
Published: March 2020

Based on the input and output data of the 11 provinces and cities in the 2006-2016 Yangtze River Economic Belt, the article selects R&D personnel’s full-time equivalent nuclear R&D research expenditure as the input index, selects the number of patent grants as an indicator of acceptable output, water consumption and wastewater discharge. As a non-conforming output indicator, the EBM model considering undesired output is used to measure the water innovation efficiency of each province and city, and calculate the global Moran’I index value, and draw the Moran index map for 2006, 2009, 2012 and 2016. It is found that water use efficiency is generally on the rise, and there is significant spatial autocorrelation between regions. Shanghai, Jiangsu and Zhejiang have been at the frontier level of efficiency and have the positive correlation. Chongqing and Guizhou have negative correlations with neighboring provinces and cities. In order to more effectively improve the water innovation efficiency of the Yangtze River Economic Belt, in addition to paying attention to the development of the province and the city itself, it is also necessary to pay attention to the radiation belt actions of neighboring provinces and cities, and formulate differentiated water management measures.
Study on Operation Strategies of Cooling Tower in Ground Source Heat Pump System
Authors: Su Shunyu , Peng Mengying
Published: March 2020

The mingled system of ground source heat pump with cooling tower has its advantage in winter cold and summer hot region. Basing on the experiments of a ground source heat pump system assisted with cooling tower in Wuhan, the operation controlling strategies of mingled ground source heat pump system were studied in this paper. And the maximal temperature controlling method was adopted by comparing energy cost of the system and soil temperature changes in different cases. The results show that cooling tower could operate as the single cold source instead of buried tubes when the outlet water temperature in buried tube is lower than 32°C. It will help to increase the operation efficiency and decrease the energy cost of this ground source heat pump system. And it will also release heat accumulation problem of the soil surrounding buried tubes.
Using Soil Microorganism to Construct a New Index of Soil Quality Evaluation
Authors: Zhang Jing , Li Pengzhan
Published: March 2020

As an important resource for human survival, soil plays an important role in maintaining productivity, environmental quality, animal and plant health, etc. Unreasonable use of land resources and large-scale soil degradation has brought serious threat to human beings. At present, the evaluation of soil quality focuses on the physical and chemical properties of soil, and the study of soil microorganisms has little impact on soil quality. This paper attempts to construct a new soil quality evaluation system from the perspective of soil microorganisms, highlighting the important role of soil microorganisms, and providing new ideas for the rational construction of soil quality evaluation system.
Research on planning and design of rural characteristic landscape from the perspective of sustainable development
Authors: Liu Chen
Published: March 2020

Purpose To study the planning and design of rural characteristic landscape from the perspective of sustainable development. Method This paper first expounds the current situation of the planning and design of rural landscape in China, then determines the objectives and principles of the planning and design of rural landscape in China, and finally proposes the design method of the planning of rural tourism landscape in China. Result From the perspective of sustainable development, the planning and design of rural featured landscape should follow the objectives and principles of design and promote sustainable development. In the planning and design of rural tourism characteristic landscape, we should not only highlight the characteristics, but also strengthen the protection of ecological environment. Conclusion Rural landscape is an important component of rural tourism in China. The planning and design of featured landscape should be able to create featured landscape, optimize layout and facilities, and strengthen ecological protection
Automatic picking method of microseismic signal first arrival time based on empirical wavelet transform
Authors: Xie Bo , Shi Fuqiang , Ma Sheng , Li Feng
Published: March 2020

For problems in the process of microseismic signal acquisition, there is a large number of interference signals, which leads to that the first arrival time of signal is difficult to pick up.A picking method combines empirical wavelet transform (EWT) and signal first arrival algorithm is proposed to pick up the first arrival time of microseismic signal.Firstly,the component signals are obtained by the EWT method, which is used to decompose the microseismic signals with the characteristics of adaptive and conquering modal aliasing. Then the correlation coefficient and variance contribution rate of each component signals are calculated, and the component signals within the threshold range are selected for reconstruction to reduce the interference of noise signals. Finally, the modified energy ratio (MER) and fractal-dimension (FD) are used to pick up the first arrival time for the reconstructed denoising signal. According to the experimental verification, the accuracy of signal first arrival time picking combined with the MER and FD method based on EWT is 0.59% and 0.36% respectively. But in terms of efficiency, the former is obviously higher than the latter. The experimental and analytical results show that the model is highly accurate in picking up first arrival time of the effective signals and has a strong applicability to the signals of different data quantities.
Prediction Model for Deformation Risk Grade of the Soft Rock Tunnel Based on GRA - Extension
Authors: Ma Xinmin , Xue Yiguo , Bai Chenghao , Liu Haiting , Yu Yuehao
Published: March 2020

The soft rock tunnel is affected by geological factors and construction factors and it is easy to produce large deformation, which leads to cracking and spalling of the primary support, distorting the steel frame, uplifting the tunnel bottom, and cracking of the secondary lining, and has a serious impact on the safety of tunnel construction and operation. In this paper, the surrounding rock strength, rock mass integrity, groundwater condition, tunnel depth, excavation method, support strength and primary support closure time were chosen as the main factors affecting the deformation of soft rock tunnels. According to the actual monitoring and measurement data of the tunnel, the factor weights were calculated using GRA. Extension theory is used to establish the prediction model for the soft rock tunnel deformation risk. According to the comparison between actual deformation and model prediction deformation, the prediction model of tunnel deformation risk grade has high applicable performance in tunnel deformation risk assessment, which provides a reference for construction optimization of soft rock tunnel.
Research on Control Strategy of Hydraulic Control Unit Test Device Control System
Authors: Qian Feng , He Yongyi , Cheng Pengfei
Published: March 2020

Hydraulic control unit test (HCU) is a complicated process with nonlinear, hysteresis and large parameter change. This paper focuses on the research of PID control strategy which comes from the BP neural network and HCU test strategy, and combines Matlab/Simulink, AMESim and other software for simulation and verification, in order to design a reliable and high-quality control scheme.
Force Characteristics and Field Test of Shield Tunneling Tools
Authors: Chen Lei
Published: March 2020

This article takes the Wuhan Metro Line 7 project as the background, and statistically analyzes the parameters acquired by shield tunneling. The relationship between the shield parameters is obtained, and the correlation between the shield parameters and the geological conditions is analyzed; based on the obtained data by on site testing, the mechanical characteristics of the scraper and the force distribution characteristics on the cutter head are analyzed.
Research on a Loquat Picking Equipment
Authors: Zhao Yaping , Chen Zailiang
Published: March 2020

Dongting loquats are often cultivated on the slopes of Wushan. The height of the loquat trees is more than ten meters, which brings great inconvenience to the harvesting work. The fresh fruit period is short, and it is not durable for storage and transportation. The high market price, the rapid price changes, and slow manual picking have seriously affected farmers’ income. This paper elaborates the recent status of fruit and vegetable harvesting at home and abroad. A simple picking device that does not damage the fruit is designed aiming at the pure artificial harvesting of loquat at present. Based on the analysis of the working principle, the prototype is made and tested. The experiment results show that the loquat harvester is easy to operate, simple in structure and low in price, and can be harvested at different heights and sizes, which greatly relieves the labor intensity of workers.
Study on the Method of Conversion from Beidou Coordinate System to Local Coordinate System
Authors: Yan Xiaowei , Yang Fan , Tan Yue , Wang Xitong , Li Yulong
Published: March 2020

The coordinate system involved in surveying and mapping is rather complicated. The combination transformation of coordinate systems can solve many problems in real life and work. At the same time, the transformation between coordinate systems is also a difficult problem to be solved urgently. Aiming at the parameters and characteristics of Beidou coordinate system and the projection parameters of local city coordinate system, a set of transformation methods suitable for Beidou coordinate and local city coordinate system are developed by combining parameter transformation algorithm, the feasibility of the algorithm is verified by transforming the known control points.
Navigation risk and route optimization in the northern waters of Zhoushan
Authors: Yin Mingyu , Chen Yijin , Zhong Lufeng , Huang Jinjie , Wang Jiahong
Published: March 2020

with the implementation of the national strategy of marine development and economic integration of the Yangtze River Delta, Zhoushan will become an “international logistics island” and “free trade island”, and the port and shipping logistics industry will become the leader of Zhoushan’s economic development [1]. However, with the further development of port and shipping logistics industry, many islands will face the development, construction and utilization in the future, and the navigation situation of Zhoushan Island will face new challenges. In order to meet the needs of the development of Zhoushan port logistics and the improvement of navigable condition of Zhoushan Island waterway, this paper analyzes the risk factors affecting the navigable safety of the northern waters of Zhoushan, and based on the comprehensive consideration of the influence of the representative ship size, ship field conditions, wind and current as well as water depth on ship operation, reasonably and scientifically optimizes the navigable conditions of the northern waters of Zhoushan Island. Layout design.
On Sustainable Development Strategy of Rural Tourism in Jiangxi Province
Authors: He Jianbo , Wang Zhen
Published: March 2020

In recent years, the development of rural tourism is gradually accelerated, and its status in tourism industry is getting higher and higher. This paper uses some scientific research methods such as literature analysis, survey research, etc. to perfect the concept and characteristics of the rural tourism. Taking present situation of rural tourism development in Jiangxi Province as an example and combining with the theory of rural tourism development, the paper analyzes its problems in management, marketing, etc. and puts forward some corresponding countermeasures and suggestions consequently in order to promote the comprehensive development of rural tourism in Jiangxi Province efficiently and effectively.
Cause analysis of water and mud inrush in fault fracture zone of deep tunnel and its treatment measures
Authors: Guo Yanhui , Lu Jincai , He Jin , Ma Mengxiang , Rao Biyu
Published: March 2020

A water conveyance tunnel of a hydropower station encountered the disaster of water inrush and mud inrush in the fault fracture zone, which caused the filling collapse in the fault fracture zone on the face of the tunnel, which seriously threatened the safety construction of the workers and affected the construction period. Based on the comprehensive analysis of the influencing factors of water and mud inrush in the fault fracture zone of the tunnel, this paper makes a preliminary analysis of the water and mud inrush in the tunnel, and puts forward the comprehensive treatment measures for the construction of the collapse section. Through the field engineering practice, this disposal measures passed the collapse section smoothly. The research results can be used for reference to the cause analysis of water and mud inrush in the fault fracture zone of similar tunnels and the construction method in the collapse section.
Effect of Solid-to-Liquid Ratio on Thin Fly Ash Geopolymer
Authors: Yong-Sing Ng , Yun-Ming Liew , Bakri Abdullah Mohd Mustafa Al , Hui-Teng Ng , Hussin Kamarudin , Yong Heah Cheng , Mohd Mortar Nurul Aida , Sandu Andrei Victor
Published: March 2020

The present work studies the effect of solid-to-liquid (S/L) ratio on the properties of thin fly ash-based geopolymer. The fly ash geopolymers with dimension of 160 mm × 40 mm × 10 mm were synthesised by using various S/L ratios (1.5, 2.0, 2.5, 3.0 and 3.2). The alkali activator was prepared by mixing 10M sodium hydroxide (NaOH) solution and sodium silicate (Na2SiO3) with the Na2SiO3/NaOH ratio of 2.5. The samples were cured at 60°C for 6 hours. The performance of fly ash geopolymers was evaluated by testing the flexural strength after 28 days. Results showed that the S/L ratio had an effect on flexural strength. The optimum flexural strength of 5.12 MPa was achieved by the fly ash geopolymer with S/L ratio of 2.5. However, the flexural strength dropped with higher S/L ratio as the workability decreases. However, further experimental lab work should be carried out as there is less knowledge in the study on the flexural strength of thin fly ash geopolymer.
A Novel Green Technology Kaffir Lime Extract as Lizard Repellent
Authors: Nawi M. A. M. , Ishak Muhammad Ikman , Rosli M. U. , Ayub M. A. R. M. , Khor C. Y. , Ahmad Termizi Siti Nor Azreen , Ishak Noorhidayah
Published: March 2020

The ubiquity of lizard in homes and has caused huge problem to human. They are one of the very important agents to transmit Salmonella that cause food poisoning towards human being. Through this research the potential of Kaffir lime peel toward lizard was reported. The process to produce Kaffir lime extract is hydrodistillation extraction method. The repellency test of essential oil will be assess at different concentration (0%, 25%, 50%, 75% and 100%). The duration of observation will be test from 3 to 6 hour duration. The results has shown that the concentration up to 50% and above of essential oil from Kaffir lime peel extraction may reflect the lizards in a state of discomfort.
A Review of Morphology Analysis on Dolomite as an Additive Material in Geopolymer
Authors: Sauffi Ahmad Syauqi , Wan Ibrahim Wan Mastura , Ahmad Romisuhani , Mohd Mortar Nurul Aida , Zaidi Fakhryna Ahmad , Ahmad Zailani Warid Wazien
Published: March 2020

Dolomite is a carbonate mineral in nature. Dolomite (CaMg(CO3)2) is an anhydrous carbonate mineral composed of calcium, magnesium, and carbonate. The word dolomite is also used to describe the sedimentary carbonate rock, which is composed predominantly of the mineral dolomite (also known as dolostone). Dolomite had been one of the frequent used materials in most of researches due to its accessibility to acquire and the properties. The composition of Ca and Mg became one of the main attractions for the usage of this natural mineral. One of the main properties needed to be studied when using any materials is morphology of the martial. Morphology analysis can give much valuable information about the surface topography and composition of the sample. Other than that, detailed three-dimensional and topographical imaging can also be obtained. This can helps the researches to finds the core value or the novelty in their study. Thus, reviews for the morphology analysis of dolomite were done to investigate how the structures of dolomite develop for certain study and usage. Besides that, dolomite as an addition into certain materials were reviewed and compared to observe the interactions and changes happened.
Optimization of Pretreatment and Enzymatic Hydrolysis of Spent Coffee Ground for the Production of Fermentable Sugar
Authors: Jin Lai Shan , Salimi Midhat Nabil , Kamal Syazni Zainul
Published: March 2020

The aim of this work was to optimize the condition of pretreatment and enzymatic hydrolysis for high yield of sugar production of spent coffee ground (SCG). Acid and alkaline pretreatment method were compared and the method with more sugar produced was selected. Response surface methodology was use for the analysis of conditions such as concentration of alkali, temperature and weight of SCG. The optimized condition obtained was 0.5% (v/v) of alkali, temperature of 100°C and 5% (w/v) of SCG. Enzymatic hydrolysis was carried out after the optimized condition of alkaline pretreatment. The conditions were pH, temperature and enzyme dosage. The optimized condition obtained was at pH 4.8, 0.01 ml of enzyme and temperature of 55°C.
Design of Automatic Switch System of Solar Panel and Power Plant for Residential Load using Artificial Neural Network
Authors: Rahmawati D , Aprillia B S , Priharti W , Silalahi D K , Kumillayla K
Published: March 2020

Electricity needs in Indonesia are getting bigger, following the increasing population. Today, most of Indonesia’s electricity needs providing by PLN. However, most PLN electricity sources are non-renewable energy sources. Indonesia is a tropical country that receives sunlight almost all year long, so it is possible to use solar as an alternative energy. We designed an automatic switch system that could switch the electrical energy source from solar panel to the power plant from PLN if the power from the solar panel were insufficient. The automatic switch controller in this system uses backpropagation neural networks. The artificial neural network (ANN) model in this study consisted of two inputs, two hidden layers, and one output. The residential loads used are lamps, rice cooker, and fan. From the research results, the optimum epoch value is 2000, with an automatic switching accuracy value reaching 98.6%.
Root-Mean Adjustment Threshold for the Improvement of Anomaly Detection Algorithm in Hyperspectral Images
Authors: Zaini M , Rizkinia M
Published: March 2020

Hyperspectral anomaly detection aims at identifying unique objects with different spatial and spectral appearances from its surrounding pixels. One of the widely used conventional methods is Collaborative-Representation-Based Detector (CRD). CRD approximates each pixel on the background that can be represented by neighboring pixels, while the anomaly pixels cannot be. The detection image generated from this method is quite satisfying since it can detect anomaly pixels quite accurately. However, the resulting detection images still contain a lot of pixels which are not anomaly even with tiny intensity values. In this study, we apply the Root-Mean (RM) adjustment threshold to filter the false-positive pixels in the output images of CRD, so that it gives more accurate results. In the experiment, six hyperspectral data with the corresponding ground truth images are used. The results show that after applying the RM threshold, the accuracy increases with the decrease of the six RMSEs in the range of 31.51 – 63.58%.
Analysis of Arduino Uno Application on Control System Based on Industrial Scale
Authors: Taufiq A J , Kurniawan I H , Nugraha T A Y
Published: March 2020

This research analyses the use of Arduino Uno as a controller, replacing the industrial based controller on the oil and gas industry with the plant: one of the control loops in the Refinery Fuel Oil Complex I PT. Pertamina (Persero) Refinery Unit IV Cilacap, Indonesia. Research is done by making a simulation plant using industrial-scale instrumentation with the Arduino Uno as the controller, and compare the results with the controller for the actual plant. The result is Arduino Uno is able controlling industrial-scale plant-based instrumentation for one control loop that was tested and was able to eliminate the difference between Process Variables and Sets Points at different control modes are proportional to industrial class controllers by using the Proportional, Integral and Derivative (PID) algorithms together with the combination.
Feature Selection Using Rough Set Theory Algorithm for Breast Cancer Diagnosis
Authors: Hardani D N K , Nugroho H A
Published: March 2020

Feature selection is one of the pre-processing stages of classification carried out by selecting relevant features that affect the results of classification. The advantage of feature selection is that it increases the value of accuracy. Data mining in the medical world has excellent potential for knowing hidden patterns in medical data sets. However, medical data sets often have large dimensions and have irrelevant features that can decrease the performance of the algorithm. This study aims to analyse the performance of the rough set approach as an algorithm used for feature selection in breast cancer diagnosis cases. This study conducted a feature selection process on the Wisconsin Breast Cancer (Diagnostic) Data Set provided by the UCI machine learning repository. There are several steps taken in research to realize these goals, such as data pre-processing, feature selection, data randomization, classification and performance evaluation. The result shows that feature selection using the rough set of methods has proven to be effective in reducing a large number of features in the data set.
Eliciting Requirements of Order Fulfilment in A Company
Authors: Andry Johanes Fernandes , Tannady Hendy , Nurprihatin Filscha
Published: March 2020

The Order Fulfillment Process (OFP) is one of the core business processes in an organisation. OFP in a manufacturing company, the wide range of activities involved is carried out by people from different functional units. OFP is complicated and demands activity elicitation and coordination. Hence, it important for companies to re-engineer their OFPs to support their activities for the better. Oil distribution manufacturing is a company that acts as a manufacturer of Coolant Brake, and Radiator in Indonesia needs an application to fulfilled all its business process activities. In this research, the authors have elicited requirements of order fulfilment in this company used elicitation and collaboration methodology to gain knowledge about the user’s requirement or need. From this research, an order fulfilment application that has been computerised has been produced following their needs to support organisation activities for the better.
Rice Productivity Analysis by Province Using K-Means Cluster Algorithm
Authors: Supriyatna A , Carolina I , Widiati W , Nuraeni C
Published: March 2020

Rice(Oryza sativaL.) is a very important food crop in the world after wheat and corn. It is also a staple food for most of the world’s population, especially in Asia, like in Indonesia until now. In 2014 to 2018, rice productivity tended to change dynamically. In 2018, rice productivity in Indonesia was 51.92 (Ku/Ha). This research was conducted to classify rice productivity in 34 provinces in Indonesia in 2018. The data used were sourced from Statistics Indonesia. The method or approach used in this study is the K-Means cluster algorithm to classify rice productivity data by province in 2018. The results of the research are; (1) There are 19 provinces included in cluster 0 (Medium), (2) There are 4 provinces included in cluster 1 (High), and (3) There are 11 provinces that are included in cluster 2 (Low). Based on the results of the study, it was proven that there were 4 provinces in cluster 1 (High) they are West Java, Central Java, East Java and South Sulawesi, with the highest rice productivity. Three of them were on Java Island. It shows that Java still dominates the productivity of rice plants.
Stress Detection from Multimodal Wearable Sensor Data
Authors: Indikawati Fitri Indra , Winiarti Sri
Published: March 2020

Stress can be recognised by observing changes in physiological responses on the human body. Wearable sensors for stress detection are becoming more prominent in recent years due to their functionality and non-intrusive nature. By utilising data from wearable sensors, we have developed a personalized stress detection system. Our system performs classification on stress level using multimodal data from wrist-worn device Empatica E4 wearable sensor. We implemented three different classification algorithms: Logistic Regression, Decision Tree, and Random Forest and used four-class classification conditions: baseline, stress, amusement, and meditation. By evaluating the performance of the system, we demonstrate that our system can perform the best and consistent personalized stress detection using Random Forest classifier with the accuracy of 88%-99% on 15 subjects.
Classification of Farmer’s Eligibility as Recipients of Subsidized Fertilizer Assistance with C4.5 Algorithm
Authors: Yunita Diah Nur , Jones Anna Hendri Soleliza , Soyusiawaty Dewi
Published: March 2020

Farmers are the main actors in agricultural development, have a major contribution in realizing Indonesia’s agricultural vision. To support the realization of agricultural production and productivity targets, the government’s supports is by issuing policies to provide subsidized fertilizer assistance. The criteria for farmers who are eligible to receive subsidized fertilizer assistance are having land less than 1.9 hectares, have been members of farmer groups, and having work as a farmer or a private employee. Data collection was carried out using the method of observation and interviews with farmer groups in Gunung Kidul. Data classification is done by applying the C4.5 algorithm to 300 data of prospective farmers receiving subsidized fertilizer assistance. Application development includes interface design, making data flow diagrams, implementation and testing. From the research that has been done by applying the C4.5 Algorithm for farmer data, there are 300 data with 113 training data. Produce a data classification of farmers who are eligible to receive assistance at 95,58% accurate and targeted to the needs of farmers. This means that the C4.5 algorithm can be used as a classification for determining the eligibility of farmers to receive subsidized fertilizer.
Hanoman adventure game based on Android
Authors: Sugiyanto Sigit , Fauzan Achmad , Purwanto Lahan Adi , Hakim Dimara Kusuma
Published: March 2020

The use of smartphones to play mobile games is increasingly being used by everyone from children to adults. Along with the rapid development of the game industry, game engine software is now popping up, one of which is Construct 2. Construct 2 is an HTML5-based game maker software that is devoted to the 2D platform. Games can be a medium for cultural preservation in a country. One of them is Indonesian culture that needs to be preserved is wayang culture. This adventure game will raise a cultural puppet character named Hanoman, Hanoman is a figure in the form of a white monkey who acts as a character in helping Rama to save Shinta. This Hanoman adventure game in carrying out missions on each level will face the enemy characters who must be defeated to be able to open the next level. In this game, there are 3 levels where each level has different difficulties so that it can provide challenges for its users.
Case-Based Reasoning for Mortality Prediction of Catfish Farming Based on Water Quality
Authors: Suwarsito  , Mustafidah H , Mujiono S , Fitriani M A
Published: March 2020

Catfish (Clarias gariepinus) is a species of freshwater fish that has good prospects for cultivation. This type of fish has a fast growth rate, is able to adapt to a bad environment and is easily cultivated. Water quality is the main element that influences the level of fish life. However, catfish deaths often occur when water quality is in certain conditions. Fish mortality can be predicted using an appropriate system so that it does not greatly affect the cultivation process. This research has succeeded in developing a prediction system for catfish mortality as a result of the water quality used for catfish farming. This system is based on case-based reasoning. The matching process starts by entering water quality condition variables such as Temperature, pH, Ammonia, Nitrite, and Dissolved Oxygen. Features entered by the user will be referred to the knowledge base. The system will look for a base case that has been indexed before. The similarity calculation with the highest value is used as a prediction of the effect of water quality on the mortality rate of catfish farming. The similarity of the test cases shows that the new case has a similarity level of up to 80%.
The Assessment of BRT Trans Semarang Service Quality
Authors: Adibah Amalia Nur , Manullang Okto Risdianto
Published: March 2020

Semarang city is one of the metropolitan cities that has congestion problems. The existence of BRT Trans Semarang becoming an alternative to reduce city congestion problems. Besides the service performance of BRT Trans Semarang, the service quality is also important in considering the travel modes choice. Tangibles are assessed based on the condition of the facility, the existence of information boards, the presence of officers, and the availability of information. Empathy is assessed based on the existence of accident insurance. Reliability is assessed based on service personnel. Responsiveness is assessed based on officer responsiveness. Assurance is assessed based on the level of knowledge and politeness of the officers. The main purpose of this research is to assess the service quality of BRT Trans Semarang related to tangibles, empathy, reliability, responsiveness, and assurance on weekdays and weekend. This research used the Kano Model to assess the service quality of BRT Trans Semarang based on user preferences. The results of the Kano Model analysis dividing the service quality indicators into several treatments can be repaired or added, can be used as a strategy, and can be prepared for the future. The government must prioritise improvements in corridor five because that corridor has the most deficiencies and need for improvement.