scholarly journals A Retrieval Optimized Surveillance Video Storage System for Campus Application Scenarios

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Shengcheng Ma ◽  
Xin Chen ◽  
Zhuo Li ◽  
Yingjie Yang

This paper investigates and analyzes the characteristics of video data and puts forward a campus surveillance video storage system with the university campus as the specific application environment. Aiming at the challenge that the content-based video retrieval response time is too long, the key-frame index subsystem is designed. The key frame of the video can reflect the main content of the video. Extracted from the video, key frames are associated with the metadata information to establish the storage index. The key-frame index is used in lookup operations while querying. This method can greatly reduce the amount of video data reading and effectively improves the query’s efficiency. From the above, we model the storage system by a stochastic Petri net (SPN) and verify the promotion of query performance by quantitative analysis.

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Chen Zhang ◽  
Bin Hu ◽  
Yucong Suo ◽  
Zhiqiang Zou ◽  
Yimu Ji

In this paper, we study the challenge of image-to-video retrieval, which uses the query image to search relevant frames from a large collection of videos. A novel framework based on convolutional neural networks (CNNs) is proposed to perform large-scale video retrieval with low storage cost and high search efficiency. Our framework consists of the key-frame extraction algorithm and the feature aggregation strategy. Specifically, the key-frame extraction algorithm takes advantage of the clustering idea so that redundant information is removed in video data and storage cost is greatly reduced. The feature aggregation strategy adopts average pooling to encode deep local convolutional features followed by coarse-to-fine retrieval, which allows rapid retrieval in the large-scale video database. The results from extensive experiments on two publicly available datasets demonstrate that the proposed method achieves superior efficiency as well as accuracy over other state-of-the-art visual search methods.


2021 ◽  
Vol 1 (2) ◽  
pp. 21-25
Author(s):  
Rodolfo Quadros ◽  
◽  
João Luiz Jucá ◽  
João Guilherme Ito Cypriano ◽  
Roberto Perillo Barbosa da Silva ◽  
...  

Based on the development of new technologies in the electrical engineering field, microgrids can be understood as the effective implantation of smart grids. These, in turn, have functionalities for energy management, such as voltage control, frequency, and demand management, and can also operate in a connected or island mode concerning the utilities resources. In the face of such technological advances and energy management, this paper presents a proposal for the implementation of a microgrid, called CampusGRID. This microgrid will be installed on the University Campus of UNICAMP - Brazil, being connected to a 11.9kV level voltage grid with 2370 kVA power rated shared among eleven points of connections and demand varying from 475 to 768 kW. For the control of loads (electric vehicle, classroom buildings, laboratories, libraries, convention center, multidisciplinary gymnasium), it is proposed to automate the circuits in the secondary side of transformers to control the loads, as well as the monitoring of these. For the power generation system, a set of distributed energy resources (DER) was considered, such as photovoltaic sources (PV), sources with cogeneration known for the combination of heat and power (CHP) using natural gas and storage system with lithium-ion batteries. These energy resources will be controlled by a centralized energy management system, with fiber-optic network communication, ensuring signal synchronism to the equipment for the provision of services, as well as serving as a means to collect the data set from the respective equipment for studies and performance improvements of the CampusGRID microgrid. Keywords: Microgrid; DER; EMS; Smart Grid;


2019 ◽  
Vol 23 (1) ◽  
pp. 26
Author(s):  
Nemanja Savic ◽  
Vladimir Katic ◽  
Boris Dumnic ◽  
Dragan Milicevic ◽  
Zoltan Corba ◽  
...  

The paper presents the plan and design of the idea of the microgrid at the Faculty of Technical Sciences in Novi Sad (FTN NS) in the university campus, which is based on the application of several different distributed energy sources. The main distributed energy sources used and planned for the distributed electricity generation in the microgrid “FTN NS” are the photovoltaic power plant with a nominal output of 9.6 kW, a photovoltaic power plant with a nominal output power of 16.3 kW, a wind power plant with a nominal output power of 2 kW, a cogeneration plant for combined heat and power production of the nominal output power of 10 kWe + 17.5 kWt, two electric vehicles of 4 kW and 2.5 kW power, and battery energy storage system with a total capacity of 36 kWh. The paper describes the main technical characteristics, the estimation of electricity generation and the estimation of the amount of non-polluted gaseous greenhouse effect for each distributed source of energy. In order to verify the justification of the application of the proposed microgrid concept, a detailed techno-economic and ecological analysis of the aspects of the application of distributed energy sources in the microgrid “FTN NS” was carried out in the paper.


HortScience ◽  
1992 ◽  
Vol 27 (6) ◽  
pp. 671f-671
Author(s):  
M. Marutani ◽  
R. Quitugua ◽  
C. Simpson ◽  
R. Crisostomo

A demonstration vegetable garden was constructed for students in elementary, middle and high schools to expose them to agricultural science. On Charter Day, a University-wide celebration, students were invited to the garden on the University campus. The purpose of this project was twofold: (1) for participants to learn how to make a garden and (2) for visitors to see a variety of available crops and cultural techniques. Approximately 30 vegetable crops were grown. The garden also presented some cultural practices to improve plant development, which included weed control by solarization, mulching, a drip irrigation system, staking, shading and crop cover. Different types of compost bins were shown and various nitrogen-fixing legumes were displayed as useful hedge plants for the garden.


2020 ◽  
Author(s):  
Naushad Khan ◽  
Shah Fahad ◽  
Mahnoor Naushad ◽  
Shah Faisal

2021 ◽  
Vol 11 (9) ◽  
pp. 3730
Author(s):  
Aniqa Dilawari ◽  
Muhammad Usman Ghani Khan ◽  
Yasser D. Al-Otaibi ◽  
Zahoor-ur Rehman ◽  
Atta-ur Rahman ◽  
...  

After the September 11 attacks, security and surveillance measures have changed across the globe. Now, surveillance cameras are installed almost everywhere to monitor video footage. Though quite handy, these cameras produce videos in a massive size and volume. The major challenge faced by security agencies is the effort of analyzing the surveillance video data collected and generated daily. Problems related to these videos are twofold: (1) understanding the contents of video streams, and (2) conversion of the video contents to condensed formats, such as textual interpretations and summaries, to save storage space. In this paper, we have proposed a video description framework on a surveillance dataset. This framework is based on the multitask learning of high-level features (HLFs) using a convolutional neural network (CNN) and natural language generation (NLG) through bidirectional recurrent networks. For each specific task, a parallel pipeline is derived from the base visual geometry group (VGG)-16 model. Tasks include scene recognition, action recognition, object recognition and human face specific feature recognition. Experimental results on the TRECViD, UET Video Surveillance (UETVS) and AGRIINTRUSION datasets depict that the model outperforms state-of-the-art methods by a METEOR (Metric for Evaluation of Translation with Explicit ORdering) score of 33.9%, 34.3%, and 31.2%, respectively. Our results show that our framework has distinct advantages over traditional rule-based models for the recognition and generation of natural language descriptions.


Author(s):  
Mohamed M. Abd El-Mawgod ◽  
Shimaa A. Elghazally ◽  
Heba M. Mohammed ◽  
Mariam Roshdy Elkayat ◽  
Doaa M. M. Osman

Abstract Background A healthy youth is considered the major human resource for any country development. They are suffering from unmet health needs. Considering these needs and their attitude towards the use of youth health center (YHC) services would help to improve both the quality and quantity of these services. Objectives To identify the students’ perceived health needs and their attitude towards use of the YHCs in Assiut University campus, Upper Egypt a cross-sectional study was conducted among 305 randomly selected university students. Data were collected using an interviewer-administered questionnaire. Results The majority of the students (80%) said that youth have special health needs. The most reported needs were psychological support, health education on different topics including reproductive health and sexually transmitted diseases, and nutritional services respectively. There was a high perception among surveyed students (71.5%) that the existing health services are inadequate for meeting their needs. Counseling, laboratory services, and premarital examination were the most frequently reported services mentioned by youth to be offered in YHCs. The majority (78.1%) preferred the health provider to be of the same sex. Despite the prevailing conservative culture in Upper Egypt, the students had positive attitude towards availability of sexual and reproductive information and establishment of a YHC in the university campus. A low awareness rate (15.1%) about the already existing YHC in university campus was revealed. Conclusion University students perceived that there are unmet needs for youth-specialized services, mainly for providing sexual and reproductive information, and establishment of an on-campus YHC. The study provides important information for policymakers about the perspectives of youth which should be taken into consideration when new YHC are planned and implemented.


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