bluuebunny/crossref_metadata_2025 huggingface dataset:
High-precision velocity measurement method based on high frame rate image processing
Authors: Zhou Saiao , Nie Yuman , Fan Fan , Tang Yuanyang , Wang Zhou , Wang Lingfei , Wang Yaoxiong , Cao Pingguo
Published: June 2022

The traditional drop-weight impact velocity measurement is affected by the measurement distance of the sensor and the measurement environment, and the accuracy is difficult to guarantee. Aiming at this problem, this paper proposes a high-precision velocity measurement method based on high frame rate image. Firstly, a measurement scheme based on high frame rate image is designed, the position information is obtained by processing the image of the marked point, and the target impact velocity is obtained according to the time difference between frames; Then an error model is established, and the sources of errors and solutions are analyzed; Then by improving the subpixel edge and other methods to improve the feature extraction accuracy of the marking point image, thereby improving the velocity measurement accuracy. Finally, the measurement accuracy is verified by the actual drop-weight free-fall experiment. The experimental results show that the method proposed in this paper is better than 0.5% in the measurement of the impact velocity of the drop weight, which meets the needs of practical applications, and the measuring process is visualized and traceable, which has high application value.
Research on target localization and recognition based on binocular vision and deep learning with FPGA
Authors: Jiang Peijing , Luo Li , Zhang Bixuan
Published: June 2022

Agricultural picking robots have ushered in a good development period, and the research on the related technologies is becoming more and more practical. Based on this, this paper designs a crop identification and localization method based on binocular vision and deep learning supplemented by FPGA hardware platform. This paper firstly introduces the necessity of the technology for recognition and localization, then introduces the theoretical knowledge of camera calibration, stereo matching, and convolutional neural networks, etc. Finally, the implementation of relevant algorithms and the system architecture model are carried out. The method designed in this paper can provide technical support for agricultural picking robots, which can contribute to the development of picking robots.
Soybean image segmentation based on multi-scale Retinex with color restoration
Authors: Lin Wei , Lin Yu
Published: June 2022

Aiming at the matter of seed overlapping and adhesion within the actual quality detection of soybean, a soybean image segmentation based on multi-scale Retinex with color restoration (MSRCR) was proposed. Firstly, original images of soybean were obtained by the industrial camera. secondly, these images were enhanced by MSRCR. Thirdly, these images after MSRCR were segmented by Otsu. Finally, soybean seed images were extracted by mask and minimum bounding rectangle from soybean images after MSRCR. The image acquisition system was constructed and the algorithm was verified. The experiment showed that the segmentation accuracy of the proposed algorithm was 98.05%, which can meet the requirement of soybean image segmentation. Additionally, the proposed algorithm can also provide an image preprocessing method for agricultural seed classification in similar scenes.
Design of Mobile Phone Automatic Assembly System Based on Machine Vision
Authors: Yuan Fei , Shen Xiaozhong , Wu Jiawei , Wang Lihui
Published: June 2022

In the four links of mobile phone production, assembly employees account for 60%. In order to improve the assembly efficiency of mobile phone, this paper designed a mobile phone automatic assembly system based on machine vision. The system mainly includes PLC control system, mechanical arm, vision system and touch screen. SIMATIC S7-1200 CPU 1214C is used as PLC controller, and control program is designed.The mobile phone shell, mobile phone chip and screen panel are captured and assembled by DOBOT MG400 four-axis mechanical arm of Yuejiang Technology. Hikvision’s products are selected as the hardware of the vision system, and vision program is designed using DobotVisionStudio algorithm platform of Yuejiang Technology. Vellon’s MT6071IP/MT8071IP (800×400) is the touch screen for the system, and through it, the system can be manually controlled and monitored. Practice has proved that the mobile phone automatic assembly system designed in this paper can perfectly complete the whole process of mobile phone assembly, and the success rate is more than 99%.The mobile phone automatic assembly system based on machine vision has high success rate, high stability, labor saving and long-term operation, which has a certain practical reference significance.
Reformatted contrastive learning for image classification via attention mechanism and self-distillation
Authors: Duan Jiayi
Published: June 2022

Image classification, a basic task for computer vision, is widely achieved using deep learning methods. Recently proposed contrastive learning has made a great progress to feature representation in self-supervised manner, which outperforms traditional contrastive loss, for instance, triplet loss and N-paired loss. In this paper, we propose a reformatted contrastive learning paradigm which is an extension of conventional self-supervised contrast learning. Specifically, multiple positive and negative pairs are constructed for each anchor, thus creating a link between the positive and negative factors. In addition to this, we employ a self-attention module in the network architecture with the aim of focusing on foreground pixels and building long-range dependencies across regions. We also present a self-distillation approach for fine-tuning the classifier using a well-trained feature encoder. which improves the generalization ability of our method. Experiments on CIFAR100 and CUB200-2011 reveal that our method outperforms rival methods, confirming the efficacy of our strategy.
Research on combined radio frequency fingerprint identification model with limited samples
Authors: Zhu Qingchao , Guo Qiqi , Song Xiaoou , Zhang Yue
Published: June 2022

Aiming to solve the real problem of civilian aircraft identification, a novel combined radio frequency fingerprint (RFF) identification model is proposed, consisting of data analyzing processing, standard characteristic parameter database establishment, classification and optimization. In data analyzing processing step, discrimination was realized for wavelet coefficients, instantaneous phase, Hilbert huang transform energy spectrum, coefficients, time field envelope, probability density function, on basis of which, characteristic parameters were confirmed. In standard characteristic parameter database establishment step, a standard database was found through direct measurement method to avoid losing the RFF feature. In classification step, single character assortment rule and combined classifying rule were defined, with correlative concept and threshold concept. Finally, optimization for the model was realized by modifying parameters manually. Results show that, though hardware was limited and amount of samples were fewer, average identification rate is near to 69.75 percent, providing a theoretical reference for the real problem of identifying different aircrafts.
Research on camouflage target detection method based on improved YOLOv5
Authors: Zhang Wei , Zhou Qikai , Li Ruizhi , Niu Fu
Published: June 2022

Objective: In the task of camouflage target detection, there is a problem that the target is highly integrated with the complex environment background, which is difficult to identify and leads to false detection and missed detection. A target detection algorithm CM-YOLOv5s is proposed for camouflage characteristics. Method: The algorithm uses YOLOv5s as the basic framework. First, a coordinated attention mechanism is embedded in the backbone feature extraction network, which enhances the network’s ability to extract camouflaged target features, weakens the attention to the surrounding background, and effectively improves the algorithm’s anti-background. Interference ability; secondly, the Mixup data enhancement strategy is used to simulate overlapping occlusion scenarios, which further strengthens the network model’s learning ability for complex samples. Results: The training and verification were carried out on the self-made Military Camouflage Target Dataset (MCTD), and the precision, recall, and average mAP of the improved CM-YOLOv5s algorithm reached 95.9%, 87.1%, and 94.1, respectively. %, compared with the original YOLOv5s model, the average accuracy rate is improved by 3.8 percentage points. Conclusion: The improved algorithm has better detection effect, and realizes accurate identification and rapid positioning of military camouflage targets in complex environments.
Operator Optimization Oriented Person Re-Identification
Authors: Cao Qichun , Wang Binqiang , Dong Gang , Hu Kekun , Yang Hongbin
Published: June 2022

Using FPGA to accelerate the application of convolutional neural networks has attracted more and more attention. However, the design technology of the FPGA accelerator cannot follow up the latest achievements of the convolutional neural networks, nor can it consider optimizing the complex network structure combined with the characteristics of hardware to improve the accuracy of the network and simplify the implementation of hardware. To address these issues, in this paper, we adopt the development idea of algorithm-hardware co-design, compress the structure and optimize the operator for a state-of-the-art lightweight person re-identification network, and design a new network model SGCNet (Shift Gaussian Convolution Network). Specifically, SGCNet is obtained by structure optimization and operator replacement according to the optimization degree of the operator in the FPGA hardware environment. For convolution operation, only 1 × 1 kernel convolution operator is adopted in SGCNet, while spatial convolution is replaced by a more effective shift operation. SGCNet is more concise and clear in the operation types and complex structure of the network. Experimental evaluations demonstrate that SGCNet’s top-5 accuracy of 92.7% on ImageNet and R1 accuracy of 74.6% on CUHK03 of person re-identification data set, is higher than CMSNet network.
Template Construction of Radar Target Recognition based on Maximum Information Profile
Authors: Cui Hao , Su Min , Liu Jia , Liu Lili
Published: June 2022

High resolution range profile (HRRP) has the advantages of low complexity in imaging and processing. These features make HRRP widely adopted in radar automatic target recognition technology. Template matching is a representative technique for radar target recognition using HRRP. To overcome the attitude sensitivity problem of HRRP data, it is necessary to subdivide the training database according to attitude domain, and construct corresponding templates for matching. However, templates from traditional methods usually cause the loss of details due to the smoothing process, with limited classification performance. This paper is motivated by proposing a template generation approach based on maximum information profile, which retains the detailed information in templates for accuracy optimization. The proposed method is verified by the recognition experiments of three types of aircraft targets. The experimental results indicate that the maximum information profile outperform the mean range profile contributed by the angle domain template.
Design of Pipe-inspection Robot Based on YOLOv3
Authors: Hu Zhangying , Zhou Jingang , Yang Benquan , Chen Aihua
Published: June 2022

In this paper, a pipe-inspection robot system which uses STM32F103 as control core is designed. The robot system adopts YOLOv3 network model to detect and locate defects of sewage pipeline. The robot uses closed-circuit television system for detection, which is composed of hardware and defect detection. The hardware is mainly composed of robot body, winding coil and upper computer. The motor drive module, body attitude sensor of robot and camera are placed in the pipeline robot. The router, lithium battery and length measurer constitute the winding coil, which is connected with the robot through cable for data transmission and power supply. the upper computer communicates with the cable coil through WIFI, and the staff can send various instructions through the upper computer to control robot operation, and view the status of the pipeline through video. The defect detection of pipeline is mainly realized by YOLOv3 network model, which is used to automatically detect the types of defects in sewage pipeline and mark the location of defects. Finally, the feasibility and effectiveness of defect detection based on YOLOv3 network model are verified by simulation experiments.
Effect of assembly margin on laser weld formation for niobium tungsten alloy
Authors: Xu Fei , Li Yulong , Zhao Xiaolong , Ma Cunqiang , Jiang Kuan
Published: June 2022

Based on the optimization experiment of laser welding process of niobium-tungsten alloy, the effects of assembly gap value and misalignment value on laser weld formation, microstructure and mechanical properties of Nb521 niobium-tungsten alloy were investigated by using variable gap method, equal gap method and equal misalignment value method. The results show that Nb521 niobium-tungsten alloy has good laser weldability. The maximum gap value margin of 1.0mm and 1.5mm thickness of base metal are about 22% and 10.6% of the base metal thickness, respectively. And the maximum misalignment value margin is about 30% and 33% of the base metal thickness, respectively. The welded joints are characterized by fine columnar crystal structure from the fusion zone to the center of the weld, and are little affected by assembly gap value and misalignment value. When the assembly gap value or misalignment value is not greater than the maximum margin, the welded joints are fractured in the base metal zone, which is far away from the weld. Therefore, the welded joints of Nb521 niobium-tungsten alloy by laser welding have excellent tensile mechanical properties at room temperature.
Research and Development of Organic/Inorganic Mixtures Compound Coated Antioxidants
Authors: Zhou Ningning , Yang Liancheng , Du Li , Wang Nannan , Qi Cheng
Published: June 2022

For plastic thermal oxidative aging, it is inevitable that the material properties will decline and eventually lead to product damage. It is very important to improve the performance retention rate of materials under aging conditions and ultimately delay the damage to prolong the service life of products. In this study, nano-zinc oxide was selected as the compound auxiliary antioxidant of the main antioxidant 1010. Nano-zinc oxide is very obvious to improve the comprehensive performance of plastics. The retention rate of the tensile strength and elongation at break of the plastic in the test is significantly improved after hot air aging due to the small size effect of nano-zinc oxide increases the cross-linked network density, which is related to the realization of molecular-level bonding of polymer materials. This study not only innovated in the selection of materials which selected nano-zinc oxide as an auxiliary antioxidant, but also realized the coating structure of the main/auxiliary antioxidant by changing the process conditions, so as to finally realize the ideal mixing and distribution of the main/auxiliary antioxidant, to improve the mechanical properties of general-purpose plastics after introduction, and ultimately optimize the antioxidant properties.
Research on the evaluation method of the Rheological Properties of Magnetorheological Grease
Authors: Lei Yulong , Hu Zhide , Jiang HaoYang , Zhao Hujun , Zhang Hansong
Published: June 2022

Research on the rheological properties of magnetorheological grease(MRG) is of great significance for evaluating its properties, revealing the internal parameters, and guiding its application. The characterization methods of rheological properties usually include steady-state shear mode and oscillatory shear mode. However, the experiment of MRG rheological properties is mostly carried out in steady-state shear mode. To characterize the rheological properties of different base oil -based magnetorheological greases, the adaptability of the steady-state shear mode is discussed, and the feasibility of using the oscillatory shear mode is analyzed. The evaluation parameters of the MRG rheological properties are studied.
Numerical Simulation on Stick-Slip Properties of Fault Considering Loading Velocity
Authors: Wang Wei , Xu Lanyu , Yao Rong
Published: June 2022

The stick-slip of faults is one of the main causes of earthquakes in tectonic earthquake. The traditional interface element model cannot simulate the stick-slip phenomenon in the fault sliding although it can simulate the change of stress field of the rock mass by the because of the fault. Based on the interface element in FLAC(Fast Lagrangian Analysis Continua), the friction law of the interface element of the fault is redeveloped by using the Fish language, which is embedded in the FLAC, and the rate-state dependent friction law is introduced into the interface element. The effects of loading rate on rock friction properties were investigated and compared with previous experimental results. Well consistency was obtained to further study the development and evolution of fault slip.
The effect of nodulation on the distribution of concentration and current density during copper electrolytic refining
Authors: Zhao Jingya , Meng Yi , Li Chun , Tie Jun
Published: June 2022

During the industrial copper electrolytic refining process, the suspended particles in the electrolyte are adsorbed on the surface of the cathode and form nodulations, leading to the disturbance of the normal state in the electrolyte. When nodulations grow and then contact with the anode, short circuits occurs. It reduce current efficiency and product quality. In this paper, the concentration and current density changes in the nodulation surface and the anode surface is proposed. The current density on the nodulation is the largest and the concentration is the smallest.
Analysis of the Reason for the Fracture of the Safety Valve Spring in the Anhydrous Hydrogen Fluoride Tank
Authors: Xi Lingli , Chen Wuchao , Chen Zheming , Mu YanChun
Published: June 2022

This paper analyzes the fracture of the safety valve spring of an anhydrous hydrogen fluoride tank in a logistics unit through macro inspection, chemical composition analysis, metallographic inspection, hardness measurement, electron microscope scanning analysis, and other technical means to find the reason for the fracture of the safety valve spring. In addition, effective preventive measures are put forward to reduce and prevent the occurrence of such problems and improve the safety of the use of tank containers.
Forced Vibration of Axially Accelerating three Parameter Beam Constituted by Fraction Alderivative Model
Authors: Niu Pengyu , Wang Bo
Published: June 2022

The forced vibration characteristics of axially variable speed viscoelastic beams are studied. The material is described by the three parameter model of Poynting-Thompson beam. According to Newton's second law, the fractional derivative is introduced to deduce the governing equation of the beam. The approximate analytical solution and amplitude frequency equation are obtained by multi-scale method. The amplitude frequency equation is divided into real part and imaginary part by separating variables. According to the Routh-Hurwitz criterion, the Jacobi matrix and characteristic equation are established to determine the stable region and unstable region obtained under different parameters. Numerical examples show that the instability region shows a downward trend with the increase of the order of fractional derivative.
Comparative research on tension-compression mechanical properties of the azide propellant
Authors: Wu Weijing , Li Haiyang , Shen Zhibin , Fan Zijian
Published: June 2022

While the azide propellant is a typical particle-reinforced composite material, its mechanical properties are quite different under two different loads of tension and compression. In order to study the possible relationship between the tension and compression mechanical properties of the propellant, so as to further study the loading mechanism of the propellant, this paper carried out constant-rate tension and constant-rate compression tests of the azide propellant and measured the stress-strain curves in different loading case for follow-up comparative study. The mechanical properties of the propellant under different loading rates were analyzed quantitatively, and the differences between the tension and compression stresses of the propellant at different strain rates were quantitatively analyzed, and the change rules of tension-compression mechanical properties of the azide propellant were obtained. The research results can provide the basis for the application analysis of the azide propellant in the engine, and the research method can provide a reference for the tension-compression comparative study of other types of propellants.
Estimation of magnetocaloric effect by means of phenomenological model in La0.67Ca0.33-xSrxMnO3 (x=0.035, 0.065) perovskite manganite
Authors: Cha Jongchol , Li Fenghua , Jon Jinhyok , Kim Jongchol
Published: June 2022

The magnetocaloric effect in the perovskite manganite La0.67Ca0.33-xSrxMnO3 with x=0.035, 0.065 have been investigated. Using Hamad’s phenomenological model, we have estimated the important magnetocaloric properties, for example, the thermal magnetization, the change of magnetic entropy and the relative cooling power. Considerable and tunable magnetocaloric effect in these compounds is advantageous to applications in near-room-temperature magnetic refrigeration. Therefore, these compounds are good candidates for working materials in magnetic refrigeration.
Investigation into mechanical properties of PBT propellant under accelerated aging at alternating temperature and constant strain
Authors: Ye Guanlin , Zhou Weiyong , Shen Zhibin
Published: June 2022

Solid propellants are typical viscoelastic materials that are subject to chemical ageing and mechanical damage under whole life cycle conditions. Through high and low temperature cycling tests on PBT propellant specimens under constant strain conditions, the effects of mechanical damage and temperature ageing on the mechanical properties of PBT propellant are simulated and analysed during the motor delivery, storage and operational duty cycles of PBT propellants subjected to environmental loads. The tests show that: during the ageing process of PBT propellant in the simulated natural environment, the tensile strength will gradually increase due to the influence of temperature load and manoeuvring load, and the initial modulus will increase due to the influence of internal stresses generated by curing and cooling, which will reduce the tensile strength, both of which will jointly affect the mechanical properties of the propellant. The force-thermal coupling accelerated ageing experiment can simulate the ageing process of solid motor pillars under natural conditions and predict their mechanical properties at various time stages.
Research on Flaw Detection Experiment of Ultrason
Authors: Zhong Haotian , Zhang Li , Shi Yipeng , Xia Zhenbiao , Duan Jingwen , Shi Bowen , Shi Huiyun , Li Yanjun
Published: June 2022

With the progress of modern science and technology, people have developed a special equipment to detect whether there is damage inside metal and non-metallic materials.Ultrasonic nondestructive testing detector is a portable industrial nondestructive testing detector, which cannot damage the detection object under the premise of the internal structure of the comprehensive detection object, but easily forms blind spots in the area of 2-3mm on the material surface and the nearby surface.Ultrasonic phased array nondestructive testing detector can compensate for this disadvantage and have high detection flexibility.This paper analyzes the advantages and disadvantages of the ultrasonic flaw detector and the ultrasonic phased array flaw detector.
Hole taper control in femtosecond pulsed laser drilling of silicon carbide ceramic
Authors: Wang Hong-Jian , Yang Tao , Wu Xiao-Xue , Deng Fu-Qin
Published: June 2022

Femtosecond pulsed laser drilling of silicon carbide (SiC) ceramic was performed to investigate effects of spiral scanning turns on hole taper control. Experimental results indicated that positive cone, cylinder and negative cone could be processed by adjusting spiral scanning turns. Although hole taper presented a decreasing trend as spiral scanning turns increased, it increased slightly at the condition of more dense paths. The changes of laser energy, debris and plasma caused by the change of spiral scanning turns were analyzed. It was worth mentioning that more spiral scanning turns meant longer drilling time, which would not only prolong the interaction between laser and materials, but also reduce the efficiency of laser drilling. On the premise of meeting the hole taper requirements, less spiral scanning turns were the preferred processing parameters. Differences of microstructure and elemental contents at hole wall were analyzed and discussed. Results indicated that contents of Si and O were higher, content of C was lower near the exit than that near the entrance.
Accounting for socioeconomic constraints in sustainable irrigation expansion assessments
Authors: van Maanen Nicole , Andrijevic Marina , Lejeune Quentin , Rosa Lorenzo , Lissner Tabea , Schleussner Carl-Friedrich
Published: June 2022

Sustainable irrigation expansion over water limited croplands is an important measure to enhance agricultural yields and increase the resilience of crop production to global warming. While existing global assessments of irrigation expansion mainly illustrate the biophysical potential for irrigation, socioeconomic factors such as weak governance or low income, that demonstrably impede the successful implementation of sustainable irrigation, remain largely underexplored. Here we provide five scenarios of sustainable irrigation deployment in the 21st century integrated into the framework of Shared Socioeconomic Pathways, which account for biophysical irrigation limits and socioeconomic constraints. We find that the potential for sustainable irrigation expansion implied by biophysical limits alone is considerably reduced when socioeconomic factors are considered. Even under an optimistic scenario of socio-economic development, we find that additional calories produced via sustainable irrigation by 2100 might reach only half of the maximum biophysical potential. Regions with currently modest socioeconomic development such as Sub-Saharan Africa are found to have the highest potential for improvements. In a scenario of sustainable development, Sub-Saharan Africa would be able to almost double irrigated food production and feed an additional 70 million people compared to 2020, whereas in a scenario where regional rivalry prevails, this potential would be halved. Increasing sustainable irrigation will be key for countries to meet the projected food demands, tackle malnutrition and rural poverty in the context of increasing impacts of anthropogenic climate change on food systems. Our results suggest that improving governance levels for example through enhancing the effectiveness of institutions will constitute an important leverage to increase adaptive capacity in the agricultural sector.
Weather Variation and Accuracy of Weather Prediction During Dry Season 2021 in The Jabotabek Using Voluntary Weather Observation Based on Social Media
Authors: Giarno  , Munawar  , Ferdiansyah E , Arifianto F , Pratiwi A , Yulianti S
Published: June 2022

The dynamics of rain events in Indonesia are very high, which causes variations in the accuracy of predictions and in situ rainfall observations or remote sensing rainfall estimates. Observations of the several extreme weather events show that rain fall occurs unevenly, especially in the city areas of Jakarta, Bogor, Tangerang, and Bekasi, commonly abbreviated as the Jabotabek. This region is a vulnerable area to hydro-meteorological disasters and evaluate how the influence of rain variations on the accuracy of weather prediction is constrained by the scarcity of in situ precipitation data. Then, the purpose of this study was to promote voluntary weather observations and to get an overview of the variation in the incidence of rain in the Jabotabek area through the STMKG Weather Care program. This team designed form of observation as easy as possible for respondents to understand, simple, and not time-consuming and spreaded using Google Forms and disseminate via WhatsApp as the most popular social media today. The results of the form filling indicate that social media has the opportunity to be developed to support the collection of weather data. Based on the evaluation of the form filling, it shows that the form is sufficient so that the respondents make relatively few mistakes. Moreover, the respondent’s error is generally in filling out the district’s name. The results of this voluntary weather observation can be used for the analysis of weather variations and the evaluation of weather predictions. The results of the analysis show that the higher the variation in weather conditions, the higher the difficulty of prediction, as the Bogor area has an accuracy of only 25%. Meanwhile, places, where the weather tends to be homogeneous, have an effect with high accuracies, such as in Bekasi Regency, which reaches 85%.
Decision Support System Determining Types of Food Crops Based on Soil Content Using the SMART Method (Simple Multi Attribute Rating Technique) and McCall
Authors: Yumarlin MZ , Bororing J E , Rahayu S , Haryanto E
Published: June 2022

Utilization of decision support systems as a tool for decision makering that integrates directly with computer in providing information and solutions. This research implements the method of SMART (Simple Multi-Attribute Rating Technique), to calculate the criteria that become the benchmark for determination of the type of plant is appropriate based on the content soil. In building a Decision Support System using six criteria, namely hummus, regosol, alluvial, grumusol, andosol, and nitrogen. Testing the decision support factors to determine the type of plant-based on the soil as measured by McCall’s quality using 3 aspects of measurement. From the results 15 respondents obtained for the aspect of correctness with a value of 71.33%, the aspect of reliability with a value of 71.33%, reliability aspect with a value of 67.1%, and aspects of usability with a value of 48.27%. Overall, the test results from the 3 test aspects results obtained are 62.37%, which indicates this system has a good category and is worth to use.
Environmentally friendly cycling habit behaviour: could social influence, hedonic motivation and psychological needs develop it?
Authors: Setianan A R , Putri W H , Kresnanto N C , Sulistiastuti E
Published: June 2022

The COVID-19 pandemic has created new habits for the people of Indonesia. Cycling has become a more popular habit and hobby in some society members during mandatory work from home. Self Determination Theory, which explains the human motivation, personality development, and behavioural self-regulation, will be used in this research context to develop a research model. This research examines how hedonic motivation and psychological needs as inner resources for behavioural decision making and social influence as external coercion influences environmentally friendly behaviour. We used multiple regression analysis and found that hedonic motivation and psychological needs influence environmentally friendly behaviour. It can be concluded that environmentally friendly behaviour is more straightforward to develop with inner motivation than external coercion.
Synthesis and Effectiveness of Snake Fruit (Salacca zalacca) Seed Charcoal Bio-Adsorbent in Reducing Remazol Brilliant Blue
Authors: Rahmayanti A , Firdaus A , Tamyiz M , Hamidah L N , Oktavia L , Rosyidah E , Widiyanti A
Published: June 2022

The manufacture of adsorbents by utilizing biomass waste continues to be developed to obtain alternative materials with high effectiveness. Adsorbents should be made from easily available materials, have low operating costs, have easy manufacturing processes, and be environmentally friendly. Snake fruit seeds have economic value to be used as activated carbon in the adsorption method for the reduction of Remazol Brilliant Blue. Snake fruit seed charcoal already has a high activated carbon. The activated carbon pores were widened through acid activation, to increase the adsorption capacity of Remazol blue. The purpose of this study was to determine the effect of bio-adsorbent concentration of snake fruit seed charcoal in absorbing Remazol Brilliant Blue levels. Snake fruit seed charcoal has been activated with 1 M HCL to become a bio-adsorbent of snake fruit seed charcoal with various stirrings of 3, 4, 5, 6, 7, rpm. Characterization of bio-adsorbent of snake fruit seed charcoal has been carried out by spectrophotometry UV-VIS, FTIR, SEM, and SEM-EDX. Snake fruit seed was a carbon source that can be used as a base material for activated carbon and adsorbent for Remazol Brilliant Blue dye. So, it has reduced the impact of textile dye waste pollution.
Disaster Management Using a Contingency Approach in the Special Region of Yogyakarta
Authors: Koenti I J
Published: June 2022

The purpose of this study is to examine the disaster management system with a contingency approach by involving community participation in the Special Region of Yogyakarta. Disaster is a state of severe disruptions in the functionality of any society or county. Knowledge management is a vital part of disaster preparedness in reducing the disaster impacts. A case study method based on qualitative data was used to conduct legal research. The findings show that, contingency planning and regional planning have a reciprocal relationship. Contingencies are currently only used in particular sorts of calamities. Currently, the application of contingencies is still limited to certain types of disasters. Therefore, disaster management with a contingency approach is essential, especially in the Special Region of Yogyakarta. It is necessary to regulate through Regional Regulations in using a contingency approach for disaster management adequately, effectively and, responsibly.
Effectiveness of LED light spectrum exposure on growth performance and color quality of juvenile polka dot grouper (Cromileptes altivelis)
Authors: Nirmala K , Hastuti Y P , Ghukos T P
Published: June 2022

Polka dot grouper (Cromileptes altivelis) is a saltwater ornamental fish that has a characteristic of black spots on the surface of its body. Polka dot grouper has a slow growth rate and color quality that fade in captivity. The purpose of this study was to evaluate the growth performance and color quality of polka dot grouper under exposure to different light-emitting diode (LED) spectrums in a recirculating system. Polka dot grouper was maintained in a 50×40×40 cm3 aquarium with a recirculating system for 30 days. This study used a randomized block design with five treatments and three groups. The treatments consisted of control (room light) and four types of the LED light spectrum with different wavelengths, i.e., red, green, blue, and white. The results showed that the best values for growth performance, physiological response, and color quality were found in the treatment of red LED light. Using a red LED light spectrum exposure in a recirculating system can improve the growth performance and color quality of the polka dot grouper.
Effects of different stocking densities on growth performance of Tor soro fingerlings under recirculation aquaculture system
Authors: Haser T F , Supriyono E , Nirmala K , Widanarni  , Prihadi T H , Budiardi T , Azmi F , Nurdin M S
Published: June 2022

Intensive aquaculture is an attempt to farm fish at a high stocking density. High stocking density in Tor soro can affect growth, survival, and feed efficiency. Therefore, intensive aquaculture usually adopts several technologies and one of them can be found in the form of a recirculation aquaculture system. This study aimed to examine optimal stocking density supporting Tor soro performance under the recirculation aquaculture system. Four different stocking densities were used as treatments: 2 fingerlings/L, 3 fingerlings/L, 4 fingerlings/L and 5 fingerlings/L. The experiment followed a completely randomized design experiment with four replications. Tor soro fingerlings sized 4-5 cm were reared in a 48 × 48 × 30 cm3 recirculated aquarium, with a water debit of 40 L in each tank for 60 days. Growth and survivals of fingerlings differed significantly between high and low stocking densities. The highest growth occurred to fingerlings at 4 stocking densities per liter (1.67±0.06) and the lowest growth occurred to the group with 5 fingerlings/L (0.34±0.56). Stocking density also significantly affected fingerling survivals where the first group attained 100% survivals, followed by a group of 4 fingerlings/L with (96±4.00%). Results from this study recommend stocking the fingerlings at a density of 4/L to maintain optimal growth conditions.
Determination of hub and feeder: as a concept to integrate fishing ports in Indonesia
Authors: Srialdoko Jonet , Supriatna Ateng , Hendrawan
Published: June 2022

In the National Medium-Term Plan 2020-2024 on marine and fisheries sector, the government has set a work plan to integrate several fishing ports. The integration of fishing ports connects all fishing ports in Indonesia in an integral part and a system that supports each other which can be connected to domestic and international markets. The scoring system has been applied in 22 fishing ports to determine the fishing ports as a hub (center), sub-hub, feeders, and sub-feeders. The score value 3.50 above is determined for the fishing port as a hub, while the Sub-Hub has a scoring value 3.50 to 2.60. Scoring value <2.60 is designated as feeder ports. From the analysis and scoring results on 22 fishing ports in Indonesia, there are 4 Hub ports, namely PPS Belawan, PPS Nizam Zachman Jakarta, PPS Bitung, and PPS Kendari. While for the feeder port, were set in 9 fishing ports namely PPN Sungai Liat, PPN Tanjung Pandan, PPN Karangantu, PPN Kejawan, PPN Pengambengan, PPN Kwandang, PPN Ambon, PPN Tual, and PPN Teluk Batang. In order, for Sub-Hub, determined 9 fishing ports (PPS Bungus, PPS Cilacap, PPN Sibolga, PPN Pelabuhanratu, PPN Pekalongan, PPN Prigi, PPN Brondong, PPN Pemangkat, and PPN Ternate. To optimize and increase the operational services of its fishing ports in an integrated system, the government should revitalize the fishing ports to increase and rehabilitate all facilities based on national and international standards.
Northern Coast of java grouper fishery characteristics: an analysis of time series landing data
Authors: Hudaya Yaya , Besweni  , Budiarto Aris , Natsir Mohamad , Yulianto Irfan
Published: June 2022

The northern coasts of Java (PANTURA) play important roles for Indonesian fisheries development, since a significant number of fishing vessels originated from this area fish in national wide Indonesian waters. One of the economically and ecologically important fish products in Indonesia is grouper and also landed in PANTURA. This study aims to understand grouper fishery that are landed in PANTURA. We utilize a data set from Fishing Port Data Center nationally known as Pusat Informasi Pelabuhan Perikanan (PIPP) of Ministry of Marine Affairs and Fisheries, an integrated national landing data center. A descriptive analysis and linear modeling were performed to understand the fishery. Based on PIPP data from 2016–2020, there were 22 species from four genera dominated by Epinephelus sp., Cephalopholis sp., Cromileptis sp, and Plectropomus sp. The main fishing gears used to catch this group of fish were danish seine or cantrang, mini danish seine or dogol, seine net or payang, and longline or rawai. Based on the analyses, the fishes were caught from eight Indonesia FMAs (WPPN RI) i.e., WPP NRI 571, 572, 573, 711, 712, 713, 715, and 718. Results of linear model employed for four main species of Epinephelids, were found they had stable and decreasing pattern of standardized catch per unit effort.
Coral reefs recovery post bleaching event in Central Tapanuli, North Sumatra
Authors: Siringoringo R M , Abrar M , Sari N W P , Putra R D , Hukom F D , Sianturi O R , Sutiadi R , Arbianto B
Published: June 2022

Temperatures on the west coast of Sumatra, South Java, Bali, and Nusa Tenggara in the Indian Ocean rose dramatically in 2016. The extreme increase in temperature greatly affects sea surface temperature and coral reef ecosystems. Central Tapanuli waters were also the area that could not escape this phenomenon. Coral bleaching has caused damage to coral reefs which is characterized by decreasing live coral’s cover. Observations on coral reef recovery have been carried out at 13 sites in Central Tapanuli waters. Observations were made using the UPT (Underwater Photo Transect) method to determine live coral’s cover. The coral fish density was determined using the UVC (Underwater Visual Census) method. From the observations, coral cover decreased by 57,68% in 2016. Observations were made in 2015, 2016, 2018, and 2021. Observations in 2018 have shown increasing live coral cover by approximately 5%. Meanwhile, in 2021 there was an increase in live coral cover by approximately 8.25% from 2018. Even though coral composition changes and mostly the number of coral decreases, after 5 years, the number of corals starts to increase. The reef health index likewise rises in tandem with these changes. Despite some chronic stress being present at some places, the water quality was favorable for coral recovery.
Isolation and Characterization of Tunicates (Ascidian: Phallusia sp.) associative marine bacteria in agar media with Pb heavy metal addition
Authors: Ismet Meutia Samira , Tera Yan , Sari Anita Edya Melliana , Aryani Anisa Fitri
Published: June 2022

Tunicates or Ascidian (sea squirt) is a very diverse and cosmopolitan organism, also could live in contaminated environment. Tunicates could harbor various associative bacteria that could produce potential secondary metabolites and adapt to heavy metals. This research aimed to isolate and characterize associative bacteria ofPhallusiasp. (Ascidian) using Sea Water Complete Agar (SWCA) media with Pb heavy metals addition. Associative bacteria were isolated from different parts ofPhallusiasp. body tissue (basal, middle, and apical part), using several concentrations of Pb added to the media. Three different concentration was applied, K-as control (non-added Pb), K+ (0.008 mgL-1 Pb), and P (0.05 mgL-1 Pb). Result showed that total count of associative bacteria from different parts of body tissue was not significantly different, in neither of Pb concentrations (ANOVA, P value of 0.16). There were 24 isolates with different colonies successively found from all media. Most of the isolate’s colony has white pigmentation, dominated by Gram-negative bacteria. Motility assay showed that all bacteria isolate was motile, with 16 isolates could hydrolyse starch. Lipase activity was found in 20 isolates, and all isolates have catalase, and glucose and mannose fermentative activity. There were 21 isolates with cytochrome oxidation activity. Morphological and physiological characterization suggest that associative bacteria belonged to five groups of bacteria, including four different genera (Alteromonas, Bacillus, Deleya, andVibrio). Kruskal-Wallis test result showed that the genus composition between each Pb concentration was insignificantly different, with a P value of 0.878.
The debt trap of seaweed farmers: a case study from Bajo Community in Bungin Permai, Indonesia
Authors: Aslan La Ode M , Wianti Nur Isiyana , Taridala Siti Aida Adha , Rahim Manat , Ruslaini  , Sifatu Wa Ode
Published: June 2022

Seaweed farming is an important livelihood in coastal areas in Indonesia. This activity is the only cash source for farmer’s daily needs. Nevertheless, they still suffer due to their lifestyle such as debt trap. This study aimed to describe the debt trap in seaweed farmers living in Bungin Permai village, Tinanggea district, South Konawe, SE Sulawesi, Indonesia. This study was done using a survey method. Structured questionnaire and in-depth interviews were done with a series of livelihood household surveys for randomly selected 98 respondents working as seaweed farmers. From this study, it was found that debt is their lifestyle. It was caused by their simple lifestyle. They always consider that the high fisheries resources from farming and fishing activities can maintain their daily life. Their expenditures are more than they can afford, especially on non-food and social expenditures (extravagant lifestyle). In addition, they mostly do not prefer to save their money in bank. Therefore, the only way to meet their daily needs is by borrowing from their middlemen.
Characteristics of sago noodles high in protein and calcium
Authors: Litaay C , Indriati A , Mayasti N K I , Sriharti  , Tribowo I , Andriansyah R C E , Daryanto A A
Published: June 2022

Fish is an animal food with a high protein source that has many health benefits. On the other hand, sago has high carbohydrates so it has the opportunity as a substitute food ingredient, but it has low protein. To overcome this, an enrichment of protein by adding fish protein. The research aims to determine the effect of adding anchovies fish meal in improving the quality of noodles made from sago. Sago noodle quality was evaluated through nutritional composition analysis and sensory properties. Protein content (1.31-4.06%) of anchovies fish meal-added noodle samples was very high, so that it had a significantly different effect than the control (p<0.05). Ash and calcium content showed the highest value in the 7% anchovies fish meal noodle which is 3.58% and 670.39 mg, respectively. The sensory properties quality of aroma noodles was 4.50, and taste 4.30.
Identification of peptide biomarkers for halal gelatin using bioinformatics techniques
Authors: Nugraha Roni , Rahayu Fitria , Nurilmala Mala
Published: June 2022

Gelatin, a partial hydrolysis result of animal collagen, has been commonly utilized in the Indonesian food industry, yet a strict regulation regarding the origin of gelatin is applied due to religious concerns. Therefore, a procedure that identify the origin of gelatin is required. The purpose of this research was to estimate peptide biomarkers using a bioinformatics approach that applicable to identify different gelatin sources by means of mass spectrometry. Collagen sequences from cattle, pigs, chickens, and fish were collected from the UniProt database. The sequences were in silico digested using trypsin in PeptideMass software. The resulting peptides were filtered following the criteria for mass spectrometry. Trypsin digestion produced a high number of specific peptides. Some of the specific peptides has been identified and it has potential to distinguish the animal derived gelatin.
Antioxidant activity of trypsin and pepsin-hydrolyzed fish collagen
Authors: Abdullah Asadatun , Nurhayati Tati , Nugroho Farrell Alifarros
Published: June 2022

Collagen is a type of structural protein that constructs skin, teeth, bones, and muscles. Collagen hydrolysate is a product resulting from the hydrolysis of polypeptides that can be carried out enzymatically and chemically. This study aimed to obtain collagen hydrolysate using different enzymes and to determine its antioxidant content. The stages of the research carried out were characterization of collagen, hydrolysis of collagen with different enzymes, and characterization of collagen hydrolysate. The collagen used has a protein content of 95.75% considered as high protein content. The amino acid content of collagen was dominated by glutamic acid, which was 7.06%. Meanwhile, the pepsin-hydrolyzed collagen contained 7.81% of glutamic acid, and pepsin-hydrolyzed and trypsin-hydrolyzed collagen was 6.13% and 6.76%, respectively. TT the highest degree of hydrolysis was obtained from papain enzyme treatment 54.98%.