bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on Electromagnetic Immunity Design of Coal Mine Instruments Based on Wireless Sensors
Authors: Li Bojun
Published: November 2019

For a long time, one of the factors that perplex the safety problem of coal mine is the interference of electromagnetic signals on underground instruments, which affects the normal work of underground instruments. In this paper, we firstly elaborate the causes and hazards of electromagnetic interference on coal mine instruments, and then explore the electromagnetic immunity characteristics of wireless sensors. Finally, we propose to construct an electromagnetic shielding model for coal mine instruments with wireless sensor, and discuss on design of hole and joint structure and slot array spacing of the shielding cavity. We conclude that a shielded body with a symmetrical form of open-cell structure, such as circular and positive, generally has higher shielding effectiveness, and to increase the gap spacing of the shielding cavity can slightly improve the shielding effectiveness.
Histograms of Oriented Gradients for cats-dogs detection
Authors: Wu Jiaxing , Yang Zixuan , Wang Ting
Published: November 2019

We study the question based on grids of Histograms of Oriented Gradient (HOG) and support vector machine(SVM),adopting different kernel functions to distinguish cat from dog with robust visual object recognition [1]. We show experimentally that the quadratic descriptors significantly outperform others kernel functions and with the increasing number of the samples, the performance of the quadratic is getting better and better. Beside, in order to reduce the complexity, we also apply principal Component Analysis, which is known as pca, and we also study the influence of the number of features on performance, concluding that the line is quadratic.
Research on Hodoop Job Scheduling Algorithms Based on Dynamic Fusion
Authors: Wang Lihong
Published: November 2019

Adaptive genetic algorithm and improved ant colony algorithm are combined to solve Hadoop job scheduling problem. Firstly, the global search ability of the adaptive genetic algorithm is used to generate the list of resources allocated by the task. When the search speed of the genetic algorithm gradually decreases, the optimal integration time of the adaptive genetic algorithm and the ant colony algorithm is determined dynamically. The initial pheromone distribution of the ant colony algorithm is generated from the optimal solution solved by the adaptive genetic algorithm. Improve the target node selection strategy of ant colony algorithm, consider the success rate of completing tasks of nodes, and accelerate the speed of ant colony algorithm to solve the optimal solution. Simulation results show that compared with genetic algorithm and ant colony algorithm, hybrid genetic algorithm takes less time, and the more tasks, the more obvious advantages.
Square-Root Divided Difference Attitude Filter for SOTM Using Low Cost Sensors
Authors: Shen Xiaowei , Jin Wei , Chang Ruihua , Jia Weimin
Published: November 2019

In order to isolate the antenna pointing from disturbance of vehicle, an attitude stabilization method based on the MEMS inertial sensors and single baseline GPS is studied. Taking quaternion and drift of gyroscopes as state vector, a square-root DDF is used to combine the information from the inertial sensors with the heading attitude information derived from GPS. Aiming to different update frequency between accelerometers and GPS, two measurement equations with two different update frequencies are chosen. Then, with the estimated attitude information, a strap-down stabilization method for angular position is used to isolate disturbance of vehicle. The results show that DDF achieves good estimation accuracy, which can meet the demand for the attitude stabilization of mobile communication.
The Service of Secure Data Publication and Subscription on Cloud Platforms
Authors: Chen Guangyu , Liu Jian , Xian Ming
Published: November 2019

With the increase of data volume, the service of data publication and subscription is an efficient method to share massive data. It is impossible to capture and manage data with traditional database tools. Therefore, the cloud platform becomes the most suitable platform for data publication and subscription due to its huge storage, strong computing power and good economical utility. In the process of data publishing and subscription, cloud server as a third party is semi-honest, which will bring serious privacy problems. In this paper, a secure data publishing and subscription scheme based on cloud platform is proposed, which can protect the privacy of data and subscriber interest, and achieve efficient and accurate data publishing and subscription. It can realize that only data subscribers who meet the requirements of access rights can obtain and decrypt the data, and the matching of data subscriber interest and data label can be realized at the same time. In addition, this scheme also supports user cancellation, it can cancel dishonest users in the system.
Research on image style transfer method based on Generative Adversarial Networks
Authors: Wu Jie , Duan Jin , Yu Jinqiang , Shi Haodong , Li Yingchao
Published: November 2019

Image style transfer technology refers to converting an image into a similar image to the famous painting style by learning the famous painting style. The technology is mainly divided into two categories: one uses neural networks to achieve single-image style transfer, and the other uses multi-image style transfer implemented against the generation network, which can learn about mismatched image sets and realize the transfer of a writer’s overall work style. However, there is still room for improvement in training time and picture quality. The improvement mainly focuses on the introduction of the edge Gaussian smoothing process to preprocess the style image set, so that the generated image can preserve the clear edges of the original image. Improving the traditional residual element structure in the generation network reduces the calculation of network parameters to a certain extent, improves the calculation speed, and accelerates the convergence of the model.
Application research on Interner access of smart home network based on 6LoWPAN
Authors: Tianzhu Gao , Xiwei Feng , Yizi Dou , Lei Ma , Rui Zhu , Yanbing Wu
Published: November 2019

With the rapid development of Internet of things technology and the increasing diversity and number of devices connected to home Network, the technology of 6LoWPAN (IPv6 over low-power Wireless Personal Area Network) has been widely used in smart home Network. According to the actual needs of users, it will be of more practical significance to connect the smart home network to the Internet (IPv4) so that users can obtain the information in the home network instantly and realize remote control through the mobile application platform.Based on 6 lowpan overall design scheme of smart home network access to the Internet, including the system gateway hardware and software design, and combining the transition technology analysis of the 6 lowpan network access of the Internet technology difficulty, according to the current technical background, we have analyzed based on 6 lowpan technology of smart home network to access the Internet in the next generation Internet development foreground and research significance.
Improved Session-Based Recommendations Using Recurrent Neural Networks for Music Discovery
Authors: Ye Yi , Xie Yi , Chen Cheng
Published: November 2019

The number of songs on the music platform is large while users just have access to a fraction of songs. Recommendation systems are created to solve this problem and collaborative filtering is the most widely used method. But collaborative filtering methods are overly dependent on user ratings of projects. New recommendation methods, Deep Learning techniques, are proposed especially for items’ feature extraction and for session-based recommendation with RNN. In this paper, we considered a LSTM-based approach for session-based recommendation and built architecture for music discovery. This architecture is composed of four modules: MDM (Music Data Modeling), NSP (Next Song Prediction Using LSTM), MLB (Music Library Building) and R4U (Recommendation for Users). Improved session-parallel mini-batches and ranking loss function are leveraged by the architecture to modify the basic LSTM. Through the experiment, we obtained a relative improvement in ranking metrics (MRR@N and Recall@N) over the session-based algorithms baselines.
Natural Scene Chinese Character Text Detection Method Based on Improved CTPN
Authors: Zeng Wenxian , Meng Qinglin , Zhang Shuqing
Published: November 2019

Text detection in natural scenes, due to differences in size, font, line direction, lighting conditions, text weakness and image background complexity, plays an important role in the research field and remains a challenging and important topic. We have improved the CTPN text detection network and changed the Side-refinement detection box to determine the scaling mechanism. And based on the experiment, change the LSTM network to the GRU neural network. In the dataset of Chinese character text game in natural scene released by Meituan, it reached 0.78 F1-Measure, which reached 0.89 and 0.61 F1-Measure on the ICDAR 2013 and 2015 data sets respectively. Compared to the 0.88 and 0.61 F1-Measure in the CTPN article, there is a big improvement.
Application Status of Big Data in Agriculture and International Cooperation
Authors: Jie HU , Jiabin WANG , Zhongjun DU , Xiaoguang LIU
Published: November 2019

This paper summarizes the current research background and application status of big data, systematically describes the domestic development of the concept and technology of big data, introduces the international advanced big data technology and the mainstream technology and methods of big data in China’s agricultural field, and the technology and application status of big data in the field of international cooperation; and discusses the existing problems. Finally, it is systematically proposed that the big data of international cooperation in agriculture should be applied to the research of international cooperation in agriculture, the application of big data in international cooperation in agriculture, and the application of big data in international cooperation in agriculture should form a solid triangular structure.
Expanding Receptive Field YOLO for Small Object Detection
Authors: Du Zexing , Yin Jinyong , Yang Jian
Published: November 2019

State-of-art object detection networks like YOLO, SSD and Faster R-CNN all have achieved great success in object detection. However, these algorithms have a low performance in small object detection. So, we produce the Expanding receptive field YOLO (ERF-YOLO) to deal with this problem. At first, we propose an efficient block which is called expanding receptive field block (ERF-block) to capture more information in larger areas. Base on YOLOv2, we down-sample the low-level location information by ERF-block, and up-sample feature information by deconvolution. Then we further assemble these two parts together to make the prediction. After training the network on VOC dataset, we have a good result with 82.6% mAP (mean Average Precision) which is 4.0% higher than the original YOLOv2 network. Thanks to the efficient block, it takes 62fps to detect one image when the input size is 416×416, which could keep a real-time speed. In addition, we also evaluate the model on a remote sensing dataset which contains many small targets, and it also shows that ours model has a better performance.
Research of Several Multicarrier Transmission Technologies in Mobile Communication
Authors: Wendi Xie , Lin Yao , Jing Wang
Published: November 2019

This paper describes the basic principles of OFDM(Orthogonal Frequency Division Multiplexing), FBMC(Filter Bank Multi-Carrier), UFMC(Universal Filtered Multi-Carrier), GFDM(Generalized frequency division multiplexing) and F-OFDM(Filtered-Orthogonal Frequency Division Multiplexing) in detail, and compares the performance characteristics and computational complexity of the five new modulation technologies. Studies have shown that, except for OFDM, the other four types of out-of-band leakage all are low, because FBMC and UFMC do not use CP, so they have high time-frequency efficiency, but the complexity is also increased accordingly. GFDM is a kind of independent block modulation with flexible frame structure, good robustness, lower complexity and good applicability. F-OFDM has fast sidelobe attenuation and high spectral efficiency, which can greatly suppress adjacent band interference through sub-band filter, meeting the needs of 5G rich service scenarios.
RETRACTED: Development and Application of Computer Software Based on the Background of Big Data Era
Authors: Liu Wei , Ma Mingrui , Ren Ripeng
Published: November 2019

With the rapid development of computer technology in the era of big data, this paper discusses the development and application of computer software. Firstly, it explains the definition of the era of big data, then analyses the development of computer software technology in China; finally, it discusses the specific application of computer software, and points out the main problems in the application process. The purpose is to provide some references for the development and utilization of computer software to ensure that computer technology can develop steadily in big data era.
Application and Research of Computer Big Data Based on Structure in Internet Learning
Authors: Zhaohongbo  , Yanweiyu  , Caozhiyong
Published: November 2019

In recent years, the rapid development of the Internet and information industry has promoted the related technological development and innovation, and brought mankind into a new era of big data. Big data provides a great convenience service for people. It can not only realize the sharing of resources, but also enable people to obtain a large amount of information. The study and application of the Internet is becoming more and more important today. Computer big data, a technology closely related to the development of the Internet, plays an important role in Internet learning. The continuous popularization of the Internet and the continuous improvement of its speed have narrowed the distance between people and made various information knowledge more concentrated and rich. Big data can promote significant improvements in Internet learning efficiency with its own capabilities. Applying big data technology in Internet learning can help learners to acquire knowledge more quickly and conveniently, and can also continuously enrich the application of big data.
Mobile localization in complex indoor environment based on ZigBee wireless network
Authors: Wang Zhu , Liu Miaomiao , Zhang Yongsheng
Published: November 2019

An algorithm for mobile robot localization in complex indoor environment is introduced in this paper. The robot is designed as a special node of ZigBee network, so the robot localization is transformed into the location of ZigBee mobile node. For reducing error, the localization method adopts and improves the RSSI ranging technology. Further, the distance is corrected by the least square method, and the three sides’ measurement is used to calculate the coordinates of the robot. The experiments were carried out in two environments: narrow and complex laboratory, and spacious hall. The results show that the system can realize the function of data acquisition, transmission, processing and display. It can satisfy the localization requirement in indoor environment. Compared with the traditional algorithm, the maximum positioning error is reduced.
Research on Classroom interaction mode based on Artificial intelligence technology
Authors: Tang Mingwei , Tan Song , Pan Xiaoge , Wang Xiaodi , He Mingxing , Chen Xiaoliang
Published: November 2019

Artificial intelligence (AI) technology has an effect on various industries at an unprecedented speed. The development of artificial intelligence has brought hope for the university educational reform in the world. But, will AI bring the subversive innovation of education for students? In order to answer this question, the paper first analyses the demand for innovation in education and clarifies the conditions for subversive innovation. Then, the application of artificial intelligence in the field of education is introduced in detail, on the basis of which the interactive model system interconnection of educational artificial intelligence supported by artificial intelligence is presented visually. Finally, the data of the experiment prove the effectiveness of the model from 2016 to 2019.
A Summary of the Application of Block Chain in Accounting and Finance System
Authors: Zhu Yangpeng , Zhao Shumin
Published: November 2019

Block chain is the most popular technology in the field of Internet finance, which has brought profound changes to the financial industry. Based on the principle of block chain technology and the business activities of enterprises, this paper combines block chain technology with accounting and financial system, solves the problems of traditional accounting processing, such as many links, long time-consuming and high financial risk, simplifies the cumbersome procedures of accounting processing, and improves the accuracy of accounting information, promotes the standardization and standardization of accounting and accounting letters and comparability and fairness of interest rates.
Analysis of Application of Big Data in College Education Management
Authors: Wang Lei
Published: November 2019

As big data technologies gradually mature, big data and the field of higher education are more and more closely merged. By analyzing the characteristics of data and application process of higher education, it is found that the big data plays a supporting role in education policy-making, operations management of teaching processes, education evaluation and learning autonomy of students. However, universities should focus on the problems of security management, privacy protection and business model that exist in the application of big data technologies. Additionally, universities could establish security defense architecture of big data, integrative data platform and U-G-E (university, government, enterprise) multiparty collaborative innovation to protect data and solve those problems.
Controlled autologous recellularization and inhibited degeneration of decellularized vascular implants by side-specific coating with stromal cell-derived factor 1α and fibronectin
Authors: Sugimura Yukiharu , Chekhoeva Agunda , Oyama Kyohei , Nakanishi Sentaro , Toshmatova Mahfuza , Miyahara Shunsuke , Barth Mareike , Assmann Anna Kathrin , Lichtenberg Artur , Assmann Alexander , Akhyari Payam
Published: November 2019

Optimized biocompatibility is crucial for the durability of cardiovascular implants. Previously, a combined coating with fibronectin (FN) and stromal cell-derived factor 1α (SDF1α) has been shown to accelerate the in vivo cellularization of synthetic vascular grafts and to reduce the calcification of biological pulmonary root grafts. In this study, we evaluate the effect of side-specific luminal SDF1α coating and adventitial FN coating on the in vivo cellularization and degeneration of decellularized rat aortic implants. Aortic arch vascular donor grafts were detergent-decellularized. The luminal graft surface was coated with SDF1α, while the adventitial surface was coated with FN. SDF1α-coated and uncoated grafts were infrarenally implanted (n = 20) in rats and followed up for up to eight weeks. Cellular intima population was accelerated by luminal SDF1α coating at two weeks (92.4 ± 2.95% versus 61.1 ± 6.51% in controls, p < 0.001). SDF1α coating inhibited neo-intimal hyperplasia, resulting in a significantly decreased intima-to-media ratio after eight weeks (0.62 ± 0.15 versus 1.35 ± 0.26 in controls, p < 0.05). Furthermore, at eight weeks, media calcification was significantly decreased in the SDF1α group as compared to the control group (area of calcification in proximal arch region 1092 ± 517 μm2 versus 11 814 ± 1883 μm2, p < 0.01). Luminal coating with SDF1α promotes early autologous intima recellularization in vivo and attenuates neo-intima hyperplasia as well as calcification of decellularized vascular grafts.
Electrospun polyurethane-based vascular grafts: physicochemical properties and functioning in vivo
Authors: Gostev Alexandr A , Chernonosova Vera S , Murashov Ivan S , Sergeevichev David S , Korobeinikov Alexandr A , Karaskov Alexandr M , Karpenko Andrey A , Laktionov Pavel P
Published: November 2019

General physicochemical properties of the vascular grafts (VGs) produced from the solutions of Tecoflex (Tec) with gelatin (GL) and bivalirudin (BV) by electrospinning are studied. The electrospun VGs of Tec-GL-BV and expanded polytetrafluoroethylene (e-PTFE) implanted in the abdominal aorta of 36 Wistar rats have been observed over different time intervals up to 24 weeks. A comparison shows that 94.5% of the Tec-GL-BV VGs and only 66.6% of e-PTFE VGs (р = 0.0438) are free of occlusions after a 6 month implantation. At the intermediate observation points, Tec-GL-BV VGs demonstrate severe neovascularization of the VG neoadventitial layer as compared with e-PTFE grafts. A histological examination demonstrates a small thickness of the neointima layer and a low level of calcification in Tec-GL-BV VGs as compared with the control grafts. Thus, polyurethane-based protein-enriched VGs have certain advantages over e-PTFE VGs, suggesting their utility in clinical studies.
Learning and flexibility for water supply infrastructure planning under groundwater resource uncertainty
Authors: Fletcher Sarah , Strzepek Kenneth , Alsaati Adnan , de Weck Olivier
Published: November 2019

Water supply infrastructure planning in groundwater-dependent regions is often challenged by uncertainty in future groundwater resource availability. Many major aquifer systems face long-term water table decline due to unsustainable withdrawals. However, many regions, especially those in the developing world, have a scarcity of groundwater data. This creates large uncertainties in groundwater resource predictions and decisions about whether to develop alternative supply sources. Developing infrastructure too soon can lead to unnecessary and expensive irreversible investments, but waiting too long can threaten water supply reliability. This study develops an adaptive infrastructure planning framework that applies Bayesian learning on groundwater observations to assess opportunities to learn about groundwater availability in the future and adapt infrastructure plans. This approach allows planners in data scarce regions to assess under what conditions a flexible infrastructure planning approach, in which initial plans are made but infrastructure development is deferred, can mitigate the risk of overbuilding infrastructure while maintaining water supply reliability in the face of uncertainty. This framework connects engineering options analysis from infrastructure planning to groundwater resources modeling. We demonstrate a proof-of-concept on a desalination planning case for the city of Riyadh, Saudi Arabia, where poor characterization of a fossil aquifer creates uncertainty in how long current groundwater resources can reliably supply demand. We find that a flexible planning approach reduces the risk of over-building infrastructure compared to a traditional static planning approach by 40% with minimal reliability risk (<1%). This striking result may be explained by the slow-evolving nature of groundwater decline, which provides time for planners to react, in contrast to more sudden risks such as flooding where tradeoffs between cost and reliability risk are heightened. This Bayesian approach shows promise for many civil infrastructure domains by providing a method to quantify learning in environmental modeling and assess the effectiveness of adaptive planning.
Defining frigid winter illuminates its loss across seasonally snow-covered areas of eastern North America
Authors: Contosta Alexandra R , Casson Nora J , Nelson Sarah J , Garlick Sarah
Published: November 2019

Winter is often understudied in ecosystem sciences and viewed as a burden for human systems and infrastructure. However, the importance of winter in regulating ecological processes and shaping human communities has emerged as a topic of great interest, particularly in areas that experience seasonal snow cover. Traditional seasonal definitions may not fully represent below freezing winters and snow accumulation that have historically characterized these areas. Here we: (1) propose the concept of ‘frigid winter’ to address longstanding problems with traditional delineations of winter; and (2) define frigid winter as a period of sustained temperatures below freezing and snow accumulation that together regulate ecological processes and their services. We explore this definition and the changes occurring within it using 100 years of meteorological data from northeastern North America. Trend analysis demonstrates that frigid winters have shortened by ∼3 weeks over the last century, that cold, snowy conditions have become more intermittent, and that the choice of winter delineation (astronomical, meteorological, hibernal, or frigid) influences the apparent rate at which winter conditions disappear.
Air quality and health impacts from the updated industrial emission standards in China
Authors: Yang Haozhe , Tao Wei , Wang Yuqing , Liu Ying , Liu Junfeng , Zhang Yizhou , Tao Shu
Published: November 2019

To improve air quality, China has been increasing the stringency of national emission standards for industrial sectors. However, from the projected air quality and associated health impacts it is not known if the updated emission limits have been completely followed. Here, we develop emission inventories based on the emission limits at different stages and use the Weather Research and Forecasting with Chemistry (WRF-Chem) model and health impact function to determine the potential air quality and health impacts for different scenarios. We found that full implementation of the special emission standards would decrease PM2.5 concentrations by over 25% in April, July and October, and decrease O3 concentrations in July by 10%–20%. Overall, the number of PM2.5-related premature deaths could be reduced by 0.15 million (95% confidence level 0.13–0.17 million) if special emission limits were met and that O3-related premature deaths would decrease by 18oo (95% confidence level 500–3000). However, even with these special emission limits, a greater than 25% increase in O3 levels occurred in northern China during October, January and April, leading to an increase in O3-related premature deaths in northern provinces which would offset the decrease in provincial PM2.5-related mortality by 10%–20%. These findings indicate that emissions of volatile organic compounds (VOCs) should be reduced to avoid increases in O3 in VOC-limited provinces. Despite the increase in O3 in certain provinces, improvement of industrial emission standards could greatly limit PM2.5 pollution and reduce the associated health burden. Therefore, we suggest that government should accelerate full implementation of strict emission standards in order to improve air quality.
Advancing the integration of ecosystem services and livelihood adaptation
Authors: King Elizabeth G , Nelson Donald R , McGreevy John R
Published: November 2019

Around the world today, the magnitude and rates of environmental, social, and economic change are undermining the sustainability of many rural societies that rely directly on natural resources for their livelihoods. Sustainable development efforts seek to promote livelihood adaptations that enhance food security and reduce social-ecological vulnerability, but these efforts are hampered by the difficulty of understanding the complexity and dynamism of rural livelihood systems. Disparate research avenues are strengthening our ability to grapple with complexity. But we are only just beginning to find ways to simultaneously account for problematic complexities, including multiscalar feedbacks in the ecosystems that that support livelihoods, the heterogeneous benefits garnered by different segments of society, and the complex contingencies that constrain people’s decisions and capacities to adapt. To provide a more nuanced analysis of the dynamics of transformation in rural livelihood systems, we identified key complementarities between four different research approaches, enabling us to integrate them in a novel research framework that can guide empirical and modeling research on livelihood adaptation. The framework capitalizes upon parallel concepts of sequentiality in (1) ecosystem services and (2) livelihood adaptation scholarship, then incorporates principles from (3) adaptation in social-ecological systems research to account for the dynamism inherent in these often rapidly-transforming systems. Lastly, we include advances in (4) agent-based modeling, which couples human decisions and land use change and provides tools to incorporate complex social-ecological feedbacks in simulation studies of livelihood adaptation. Here we describe the new Ecosystem Services—Livelihood Adaptation (ESLA) framework, explain how it links the contributing approaches, and illustrate its application with two case studies. We offer guidance for its implementation in empirical and modeling research, and conclude with a discussion of current challenges in sustainability science and the contributions that could be gained through research guided by the ESLA framework.
A study on rice field farmer implementation of rice straw composting
Authors: Muliarta I N
Published: November 2019

Rice straw is an abundant material which can be utilized as an ingredient in organic fertilizer or compost. Especially since various laboratories test also found that rice straw, which tends to be viewed as farm waste, contains beneficial nutrients, which aid in plant growth and in maintaining soil fertility. In actual practice, rice straw often left wasting unused, disposed mostly by burning. Hence it necessitated a survey to learn the percentage of farmers that compost rice straw within an area to be undertaken, especially at regions that have been designated as rice cultivation center. The study was conducted in three districts in Klungkung region, e.g., Banjarangkan, Klungkung, and Dawan. Klungkung region was chosen as a research site due to its inclusion as one of the areas where the national program of rice, corn, and soybean (Pajale) development was being undertaken. The survey for this study was conducted by giving out questionnaires and interviews. The survey was conducted with 89 respondents. The results found in this study revealed that there was no farmer who composted rice straw. It was found that 97.75% of farmers admitted not to compost their rice straw due to their lack of knowledge on the way and means of rice straw composting. In fact, it was found that 74.16% of farmers have no notion that rice straw could be turned into compost. This data was in line with results found from interviewing 12 extension worker officials who fully admitted that they were never done any socializing effort on rice straw compost at all. It was found that 97.75% of farmers admit not to compost their rice straw due to their lack of knowledge on the way and means of rice straw composting.
A green engineering approach to simultaneously removing organic and nitrogenous substances in wastewater
Authors: Yunardi  , Munawar E , Hisbullah  , Rinaldi W , Fathanah U , Djawad M I
Published: November 2019

This study was aimed at investigating the performance of an algae bioreactor on the simultaneous removal of organic and nitrogenous substances under varied illumination period and light intensity. An aerobic bioreactor having an effective volume of three litters was operated in fill and draw mode of four days per cycle. The algae of Chlorella sp were grown in the bioreactor fed with simulated wastewater. The bioreactor received the light, which was set with a period of 12-hour light-ON, followed by 12-hour light-OFF, and a continuous 24-hour light-ON. The light intensities were varied at various levels of 5,000; 7,500; 10,000; and 12,500 lux. The result of the research showed that the algae bioreactor was capable of removing Chemical Oxygen Demand (COD) up to 57.56% at the light intensity of 5,000 lux and up to 68.83% at the light intensity of 10,000 lux. The removal of ammonium at light intensities of 5,000 and 10,000 lux was obtained as 52,42 and 73,55%, respectively. The highest algae concentration of 1.5 × 106 individual/ml was observed at the light intensity of 10,000 lux. The above results suggested that the removal of organic and nitrogenous substances has simultaneously occurred in the algae bioreactor.
Green inventory controlling analysis of coal using the lot sizing technique: Lesson learned form nickel mining industry
Authors: Asmal S , Darmawan A , Mulyadi  , Mudiastuti R D , Nilda  , Tappang A A
Published: November 2019

Companies, including PT Vale Indonesia (PTVI), generally should implement inventory control. PTVI use approximately 32,077 tons per month coal as a heating catalyst on the reducing furnace. There were several periods in 2017 and 2018 where the coal inventory exceed the safety stock and maximum stock level with the total cost of IDR 616,059,680.00 in 2017 and IDR 669,720,480.00 in 2018. In order to analyze and solve that stock problems, this research used the Lot-Sizing technique with Lot for Lot (LFL), Economic Order Quantity (EOQ), Part Period Balancing (PPB), and the Silver-Meal Algorithm (SMA) methods to obtain the demand and appropriate order time, by considering the lead time factor, safety stock, and reorder point to obtain the efficient costs. As a result, the safety stock value was 7,922 tons with reorder point 18,674 tons. The PPB and SMA methods gave the most minimum total inventory cost of IDR 437,021,589,280 and efficiency of 34.74%.
The reaction time of subject groups in rest conditions due to the activity room’s microclimate: A laboratory tests
Authors: Bakri I , Mudiastuti R D , Mulyadi  , Anwar H
Published: November 2019

This study aims to measure the effect of perceived thermal sensation and comfort to the reaction time for participants aged 18-22 years (Group A) and 35-45 years (Group B). Data collection was done by measuring the reaction time ability and respondent’s subjective response to the air conditions (AC) setting of 18°C (AC-18), 24°C (AC-24), and Non AC (Control). Results show that in the 18°C AC setting the reaction time of Group A with regular stimulus was slower than Group B. Whereas by giving random stimulus, the reaction time of Group B was slower compared to Group A. In the condition of the room with AC 24°C and AC settings not used (T = 26.19 ± 0.55°C), ordered and random stimulus reaction time of Group B slower than Group A. Furthermore, there is a somewhat different trend between subjective sensation felt by Group A and Group B. The reduced sensitivity of taste senses on the skin part is likely to cause respondents in Group B to feel COLD slower than Group A. Likewise in the thermal comfort trend, where Group A looks more sensitive to changes in existing air conditioning settings. In general, this study shows the importance of including age factors in the design of intelligent AC controlling systems that are more environmentally friendly.
The supply chain risk analysis using House of Risk method: seaweed commodity in Jeneponto case study
Authors: Parenreng S M , Rusman M , Nilda  , Darmawan A , Bakri I , Nurhidayat
Published: November 2019

Seaweed development involves the supply chain activity related to sources of raw material, production, and distribution process, yet well organized. The risk opportunity in each those aspects becomes the main obstacle. This study discusses the risk of raw material supply, production, and distribution process at the seaweed commodity in Jeneponto, one of the centers of seaweed development center in South Sulawesi, Indonesia. The objective of this study was to design the proposed risk management occurred in the supply chain activity. The House of Risk is a method applied in this research, which is the integration between Failure Mode and Effect Analysis (FMEA) and the House of Quality methods. The result shows that the main risk prioritized was the lack of seed supply (8.53%), water contamination (7.82%), and the cost fluctuation by the company (8.09%). The proposed preventive action to prevent those risks was to give joint-managed nurseries establishment, drowning longline on forecast-based, and establish better communication with the company before collection.
Growth and development of Theobroma cacao seedlings as a response to different dosages of vermicompost and arbuscular mycorrhizal fungi
Authors: Padjung R , Saad S H , Bahrun A H , Ridwan I
Published: November 2019

This study aims to determine the response of cocoa (Theobroma cacao L.) seedlings to the application of vermicompost and arbuscular mycorrhizal fungi (AMF). The research was conducted at the Teaching Farm, Faculty of Agriculture, Universitas Hasanuddin from February to July 2018. The trial was set using a randomized block design (RBD). Three vermicompost dosages set as the first factor were 0, 25, and 50 g polybag-1, and three dosages of AMF used as the second factor were 0, 6, and 12 g polybag-1. The results showed that the application of 50 g polybag-1 of vermicompost and 6 g polybag-1 of AMF resulted in better seedling growth indicated by a higher number of leaves and stem diameter. The use of 25 g polybag-1 of vermicompost and 6 g polybag-1 of AMF increased the shoot and root fresh weight. Shoot:root ratio of the cocoa seedlings as the response of the plant to the application of vermicompost and AMF ranged between 0.38 and 0.53 compared to controls for both treatments ranged between 0.31 and 0.51.
Effect of Trichoderma sp. and Streptomyces sp. on the growth and production of True Seed Shallots (TSS)
Authors: Haring F , Rostia  , Syam’un E , Ginting N M
Published: November 2019

A study aimed to determine the effect of Trichoderma sp. and Streptomyces sp. on the growth and production of True Seed Shallots (TSS) was conducted from April to October 2018 at the Teaching Farm, Faculty of Agriculture, Universitas Hasanuddin, Makassar, South Sulawesi. The experiment was set using a Randomized Group Design (RBD) replicated three times. The first factor was the application of Trichoderma sp. which consisted of three levels, namely control; 2 g per plant; 4 g per plant, while the second factor was the application of Streptomyces sp. consisted of three levels, namely: control; 104 cfu L-1; 108 cfu L-1. The results show that the treatment of Trichoderma sp. at a dose of 4 g per plant resulted in better growth and production of shallots on the observed parameters ie. fresh weight of the bulbs per plot (686.60 g), dry weight of the bulbs per plot (532.48 g), production per plot (0.56 kg) and production per hectare (5.61 tons ha-1). No significant effect of Streptomyces sp. observed. Application of Trichoderma sp. and Streptomyces sp. on TSS tended to resulted in better growth and yield was the combination treatment of Trichoderma sp. 4 g per plant and Streptomyces sp. 104 cfu L-1 with an average production of 5.84 tons ha-1.
Growth and production of seven soybean varieties (Glycine max (L.) Merrill) in a coastal area
Authors: Jaya A M , Iswoyo H , Amril  , Situmorang F C
Published: November 2019

An experiment was conducted in Barombong, Makassar City, to determine the growth and production of several soybean varieties on coastal land. The research was an experiment designed by a randomized block design with seven soybean varieties as treatments, namely Ijen, Wilis, Anjasmoro, Sinabung, Burangrang, Tanggamus, and Kaba. Each treatment was repeated four times, making a total of 28 experimental units. Results showed that all varieties could adapt to the coastal area. However, Anjasmoro provided the best growth and production based on variables of plant height (58.50 cm), the weight of 100 seeds (14.93 g), seeds weight per plot (447.65 g) and seed production per hectare (1.70 tons ha-1). Ijen variety only gave the highest value on the number of leaves (20 strands) and the earliest 50% flowering age, (33.5 days). Kaba variety only gave the highest value on productive branches (2.75 branches) and the earliest 50% flowering age (33.5 days). Sinabung variety only gave the highest value on the number of pods per plant (30.9 pods) and the lowest percentage of empty pods (17.33%). Burangrang variety gave the earliest harvesting time at 85.5 days.
Growth and production of determinate tomato (Lycopersicum esculentum Mill) with application package of bio-slurry
Authors: Mantja K , Mollah A , Fitriani N , Parlindungan J Y
Published: November 2019

This study aimed to analyze the growth and production of tomato (Lycopersicum esculentum Mill) with the application of liquid bio-slurry fertilizer at different concentration and interval of application. The design of this study was a Randomized Block Design (RBD) consisting of eight packages of liquid bio-slurry treatment and fertilization intervals with three replications. Eight packages of treatments are: 60 ml L-1 & 3-day interval; 60 ml L-1 & 6-day interval; 120 ml L-1 & 3-day interval; 120 ml L-1 & 6-day interval; 180 ml L-1 & 3-day interval; 180 ml L-1 & 6-day interval; 240 ml L-1 & 3-day interval; and 240 ml L-1 & 6-day interval. The results showed that the treatment package significantly affected all parameters. The package of 240 ml L-1 & 3-day interval gave the best results on the parameters of average plant height of 7 weeks after planting (wap) (107.53 cm), age of harvest (73 dap), and fruit production parameter (316.83 g).
Analysis on correlation of cultivation practices on production of Arabica coffee
Authors: Musa Y , Iswoyo H , Sarif L , Herdjiono M V I
Published: November 2019

This paper presents the results of a study which was conducted to analyze the effects of maintenance practices of Arabica coffee on production. The location of the study was in a coffee production center of Tompobulu Subdistrict, Gowa Regency, Province of South Sulawesi, Indonesia. The research was in the form of a survey supported by literature study, observation, and interviews. Sample selection was purposive sampling and analyzed by multiple linear regression data. The results show that coffee productivity in Cikoro Village, Tompobulu Subdistrict, Gowa Regency is still low at 0.53 kg per tree. The multiple linear regression equation of Arabica coffee productivity obtained is Y = 351,487 + 53,331X1 + 5,324X2 + 7,108X3 + 1,967X4 + 5,080X5 + 3,889X6 + 5,407X7 + 9,420X8 + 5,307X9. Fertilizer dose and rejuvenation trimming variables had very significant effects. Other variables, namely fertilization frequency, fertilization method, fertilization time, shape trimming, production pruning, sanitation, and pest control, did not significantly affect the productivity of arabica coffee plants. Maintenance practices could increase the production and productivity of Arabica coffee plants in study location, especially on fertilizer dosage aspects and rejuvenation trimming.
Growth of passion fruit plants on various origins of cuttings and concentration of Liquid Organic Fertilizer
Authors: Kasim N , Amin R , Mariyati T , Nurvitasari E
Published: November 2019

It is a report of an experiment aimed to determine part of branch cutting along with the concentration of liquid organic fertilizer which is best for the growth of passion fruit seedling. The experiment took place in Lemo-Lemo Village, Sub-district of Pattapang-Tinggi Moncong, Regency of Gowa Regency, South Sulawesi. The experiment was designed in the form of a 2-factor factorial experiment in a Randomized Block Design. The first factor consisted of four levels of concentration of liquid organic fertilizer, namely: (1) without application of liquid fertilizer, (2) concentration of 5 mL L-1, (3) concentration of 10 mL L-1, and (4) concentration of 15 mL L-1. The second factor was the source of cuttings with three levels: (1) base cutting, (2) middle cutting, and (3) tip cutting. The results showed that application of liquid organic fertilizer of 10 mL of L-1 gave the best influence on several variables. They were shoot length (38.33 cm), number of leaves (9.17 leaf unit), number of branches (7.33 branch), length root (22.27 cm), and leaf area (13.81 cm2). Compared to base and tip cuttings, the middle cuttings gave the best influence on several variables. These variables were: shoot length (38.33 cm), number of leaves (9.17 leaf unit), number of branches (7.33 branches), root length (22.27 cm), and leaf area (15.67 cm2). The interaction between the concentration of 10 ml L-1 and the middle cutting gave the best effect on shoot length (38.33 cm) and root length (22.27 cm).
Aloe (Aloe barbadensis Miller) flour in broiler ration towards the ratio of Heterophyl Lymphocyte (H/L) and percentage of the relative weight of the lymphoid organ
Authors: Namirah  , Mujnisa A , Jamilah
Published: November 2019

Phytobiotics had the immunomodulatory effects which known to increase the broiler immunity. Aloe contains acemannan and flavonoids with the effect of immunomodulator. The purpose of this study was to determine the optimal level of Aloe barbadensis Miller flour to improve broiler immunity. This study used a completely randomized design consisting of four treatments and four replications, T0: ration without aloe flour (control group), T1: ration + 0.075% aloe flour, T2: ration + 0.100% aloe flour, and T3: ration + aloe flour 0.125%. Eighty broilers were reared intensively and treatments given for 42 days. The ratio of heterophil/lymphocyte (H/L) and the percentage of the relative weight of lymphoid organ was determined at day-42. Results showed that aloe flour had a significant effect (P<0.01) on the ratio of heterophil/lymphocyte (H/L) and (P<0.05) on the percentage of the relative weight of bursa of Fabricius, but did not significantly affect the percentage of the relative weight of the spleen. The lowest (H/L) heterophil/lymphocyte ratio was T3 (0.29), and the highest was T0 (0.65). The highest relative weight percentage of the bursa of Fabricius was T3 (0.09%) and the lowest was T0 (0.05%). The relative weight percentage of the spleen was similar in group T0, T1 and T2, 0.12%, while T3 was 0.13% of the body weight. The addition of Aloe barbadensis Miller flour with a level of 0.125% (T3) in broiler ration tend to increase immunity through a decrease in the ratio of heterophil/lymphocytes (H/L) and increase in weight of bursa of Fabricius and spleen.
Effect of various polyethylene glycol concentrations on the growth of seedlings of Indigofera zollingeriana
Authors: Nadir M , Ansyar I , Khaerani P I , Syamsuddin
Published: November 2019

The use of dry land for the cultivation of Indigofera zollingeriana is an effort to develop forages in the dry season, especially on the land lacked of water. The study was aimed to determine the effect of various concentrations of polyethylene glycol (PEG) 6000 stress on I. zollingeriana seeds by evaluation of drought tolerance test from germination to nursery phase. The study was compiled based on a randomized block design (RBD) with five treatments and three groups. The treatment groups were as follow: P1=water without PEG (control), P2= water+5% PEG (10 g/liter of water), P3=water+10% PEG (20 g/liter of water), P4=water+15% PEG (30 g/liter of water), and P5=water+20% PEG (40 g/liter of water). The parameters observed in this study were the root length, growth percentage, and leaf area index. Results showed that the seeds of I. zollingeriana were able to adapt to drought at the PEG concentration of 20%, despite the salt stress which affected the plant growth.