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Crime Hot Spot Forecasting: A Recurrent Model with Spatial and Temporal Information

Crime Hot Spot Forecasting: A Recurrent Model with Spatial a...

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IEEE international conference on Big Knowledge (ICBK)

作者： Yong Zhuang Matthew Almeida Melissa Morabito Wei Ding Department of Computer Science University of Massachussets Boston Boston Massachussets School of Criminology and Justice Studies University of Massachusetts Lowell Lowell Massachussets

ISBN: (纸本)9781538631218

Crime is a major social problem in the United States, threatening public safety and disrupting the economy. Understanding patterns in criminal activity allows for the prediction of future high-risk crime “hot spots” and enables police precincts to more effectively allocate officers to prevent or respond to incidents. With the ever-increasing ability of states and organizations to collect and store detailed data tracking crime occurrence, a significant amount of data with spatial and temporal information has been collected. How to use the benefit of massive spatial-temporal information to precisely predict the regional crime rates becomes necessary. The recurrent neural network model has been widely proven effective for detecting the temporal patterns in a time series. In this study, we propose the Spatio-Temporal neural network (STNN) to precisely forecast crime hot spots with embedding spatial information. We evaluate the model using call-for-service data provided by the Portland, Oregon Police Bureau (PPB) for a 5-year period from March 2012 through the end of December 2016. We show that our STNN model outperforms a number of classical machine learning approaches and some alternative neural network architectures.

关键词： Predictive models Recurrent neural networks Forecasting History Indexes Time series analysis

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A Heart Rate Variability Analysis system Based on LeanCloud and Echarts 40

A Heart Rate Variability Analysis System Based on LeanCloud ...

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40th Annual IEEE computer Software and Applications conference Symposium (COMPSAC) / Symposium on Software Engineering Technology and Applications (SETA)

作者： Zheng, Yang Chen, Xianxiang Fang, Zhen Xia, Shanhong Univ Chinese Acad Sci Beijing Peoples R China Chinese Acad Sci Inst Elect Beijing Peoples R China Chinese Acad Sci Key Lab Hlth Informat Shenzhen Inst Adv Technol Shenzhen Peoples R China

ISBN: (纸本)9781467388450

The electrocardiogram (ECG) has become a standard tool to measure and record the electrical activities of the heart because of its low-cost and non-invasive characteristic. Applications running on smart phones or tablets have been widely used for collecting and processing ECG signals, with the prevalence and massive availability of health related mobile applications. However, these applications have the disadvantage of relative small mass storage and relative poor computing ability, especially in Human-computer interaction user experience. To achieve rapid Heart Rate Variability (HRV) analysis based on big physiological data, a novel HRV analysis system has been developed based on LeanCloud cloud platform and web application. The cloud platform can store and process mass raw ECG signals. Computing intensive signal processing tasks were implemented in Python code. The HRV analysis results displayed on the web achieve good interactivity by using Echarts. The preliminary results demonstrate that this system have strong computing ability and good Human-computer interaction user experience.

关键词： ECG Heart Rate Variability Analysis Cloud computing Platform as a service

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An Equivalent-control Quantization Sliding Mode Controller for a Buck Converter

An Equivalent-control Quantization Sliding Mode Controller f...

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2017 international conference on Advances in Materials,Machinery,Electrical Engineering(AMMEE 2017)

作者： Qianqian Li Peter Liu Yisong Wang Department of Computer Science and Technology Guizhou University Department of Electrical Engineering Tamkang University

ISBN: (纸本)9781510842915

This paper studies the DC-DC buck converter response controlled by two second-order single-input control techniques: equivalent-control quantization sliding mode voltage control（QSMVC） and general sliding mode voltage control（SMVC）. Simulations illustrate the behaviors of the equivalent-control based SMVC system under uniform and logarithmic quantized state feedback. The output voltage and inductor current of both models were studied and compared under normal conditions, load step change, load linear variation, and input voltage step change. It shows that the equivalent-control QSMVC system performs better than the general SMVC system in terms of robustness and stability. The equivalent-control QSMVC system prevents the sliding mode controller from operating at a frequency that is too high for the power switch to respond. Also, by setting the value of quantization parameters the output voltage value can be greater than 5.999 V with less than 0.17% deviation from 6V.

关键词： equivalent-control quantizer sliding mode voltage control DC/DC power system

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Smart designing: Reducing the solarization cost by energy efficient retrofits

Smart designing: Reducing the solarization cost by energy ef...

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international conference on Energy Conservation and Efficiency (ICECE)

作者： Waqas Khalid Tallal Ahmed Imran Ali Shah Aziz Muhammad Mazari UET Center of Energy Research and Development (CERAD) Lahore Pakistan UET Al-Khawarizmi Institute of Computer Science (KICS) Lahore Pakistan Energy Department Government of Punjab Pakistan

ISBN: (纸本)9781538636077

The demand for electricity has continued to outpace the supply side since 2005, considerably effecting all consumer sectors (residential, commercial & Industrial). Since 2012, the situation has been worsen resulting in load shedding for several hours. In rural as well as even in some underprivileged areas of big cities such as Lahore, brown-outs for 8-12 hours daily during summer can be observed. The shortage of electricity and higher fuel prices for generators shifted the trend towards alternate energy. For Lahore-Pakistan, solar photovoltaic (PV) is the most feasible energy source for alternate clean energy which is economically more viable than petrol generators. The general concept of high initial capital cost for PV system prevents the potential users to take an initiative, however, there are ways to economically design the alternate solar PV system for critical loads. In following case-study, the results for conversion of load on solar PV-Hybrid system with economic viability are presented. Energy audits and energy conservation methodologies to reduce the size of PV system as well as its capital and operational cost are also discussed. The study explains how retrofitting the existing load with energy efficient equipment not only reduces the active load and required size of solar system but also reduces the overall price of the system including the cost of retrofitting.

关键词： Buildings Fans Electric potential Energy consumption Energy conservation Solar system Cathode ray tubes

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Internet of Brain: Decoding Human Intention and Coupling EEG Signals with Internet services 9

Internet of Brain: Decoding Human Intention and Coupling EEG...

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9th international conference on service science, ICSS 2016

作者： Zhang, Lan Wang, Ker-Jiun Chen, Huan Mao, Zhi-Hong Horace Greeley High School ChappaquaNY United States Department of Bioengineering University of Pittsburgh Pittsburgh United States Kingdee International Software Group Shenzhen China Department of Electrical and Computer Engineering Department of Bioengineering University of Pittsburgh Pittsburgh United States

ISBN: (纸本)9781509027279

Films such as Robocop, The Matrix, and Pacific Rim have explored the possibilities of using Brain-computer Interfaces (BCIs) to control machines with only thought. In this paper, we enhance the power of thought through a novel method of combining the powers of the brain wave, the most influential signal in the human body, and the wide range of information found on the internet during today's digital age. Because brain wave signals are affected by human thought, certain patterns of EEG (Electroencephalogram) signals can be associated with specific actions or ideas. By analyzing these characteristics of brain wave signals through powerful EEG capturing devices, we were able to create a user interface where a human can have access to a variety of internet services, including search results, social media and IFTTT, by merely thinking of or focusing on a word or phrase on a computer screen. © 2016 IEEE.

关键词： Brain computer interface

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Reconciling immersion and presence: Locative game mechanics and narrative techniques for cultural heritage

Reconciling immersion and presence: Locative game mechanics ...

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international conference on Virtual systems and MultiMedia

作者： Mads Haahr School of Computer Science and Statistics University of Dublin Dublin 2 Ireland

ISBN: (纸本)9781538644959

Locative gaming dates back to the early 2000s, and with the success of Ingress (2012) and Pokémon GO (2016), locative games have now entered the mainstream in a very serious way. However, while the genre holds considerable promise for cultural heritage, it has yet to make a real impact for this purpose. A particular challenge is to reconcile the two apparently conflicting concerns of ensuring immersion into the experience without compromising the audience's sense of presence in the physical space. For example, Ingress and Pokémon GO offer excellent immersion in the gameplay but at the cost of near-total loss of the player's sense of presence in the physical environment, even to the extent that accidents occur. For cultural heritage, presence is not only about safety, but also about the audience experiencing the site and not only the digital content. In this paper, we argue that for locative games to be successful for cultural heritage, they must bridge the design tension between offering immersion and presence. We use two of our own titles to shed light on the design concerns and show how careful use of locative game mechanics and narrative techniques can help reconcile these two design pressures and create a new type of engagement with cultural heritage.

关键词： Games Cultural differences Media Telepresence Global communication Navigation Planets

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Task Decomposition Exploration of Image Processing Applications on FPGA-Based NoC

Task Decomposition Exploration of Image Processing Applicati...

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2017 international conference on computer, Electronics and Communication Engineering(CECE2017)

作者： Ke PANG Virginie FRESSE Zai-feng SHI Su-ying YAO School of Computer Science and Technology Tianjin University Hubert Curien Laboratory UMR CNRS 5516 Jean Monnet University-University de Lyon School of Microelectronics Tianjin University

As the key interconnection technique of system on Chip(SoC), Network on Chip(NoC) architecture is widely used in the high-throughput and low-latency image processing system designs. In addition to the bandwidth and latency, managing congestion resulted from imbalance network load is critical to improve the system performance. In this paper, one task decomposition exploration method on FPGA-based NoC is presented. According to different parallel properties of tasks of the application, subtask graphs are generated by taking advantage of different decomposition strategies. These subtask graphs are evaluated in timing latency and energy consumption based on FPGA-based NoC emulation platform. The experiments demonstrate that the proposed task decomposition exploration can help the designer select the most appropriate task decomposition scheme based on properties of the application to balance NoC net-work load and alleviate congestion.

关键词： Network-on-Chip(NoC) Task decomposition exploration Data-parallelism decomposition strategy Task-parallelism decomposition strategy Task mapping exploration flow NoC emulation platform

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Game Theoretical Approach of Downlink Resource Allocation in 5G Wireless Fusion Networks

Game Theoretical Approach of Downlink Resource Allocation in...

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2017 17th IEEE international conference on Communication Technology (ICCT 2017)

作者： Yuan Gao Hong Ao Zenghui Feng Weigui Zhou Su Hu Xiangyang Li China Defense Science and Technology Information Center Xichang Satellite Launch Center State Key Laboratory on Microwave and Digital Communications National Laboratory for Information Science and Technology Tsinghua University University of Science and Technology of China

The wireless networks are requiring higher transmission speed and more reliable QoS, especially the 5 G systems. Different network providers will run different quality of transmission services and the user could choose the suitable set. In this work, considering the varieties of transmission types and price, we propose a novel game theoretical solution of downlink resource allocation, the fusion of different types of transmission could significantly reduce the transmission price under the constraint of system Quality of service（QoS）.Simulation results prove the fact that by using our proposed game theoretical method, the price of the downlink transmission could be reduced up to 37% under the constraint of QoS, the expense is the time consumption and the signal processing delay.

关键词： game theory resource allocation downlink wireless fusion

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Automated FISH Signals Fusion Detection for Chronic Myeloid Leukemia Diagnosis 26

Automated FISH Signals Fusion Detection for Chronic Myeloid ...

引用

26th international conference on computer Theory and Applications, ICCTA 2016

作者： Moataz, Shrouk El Azim, Mostafa Abd Abdelraouf, Ashraf Arab Academy for Science Technology Maritime Transport Department of Computer Science Cairo Egypt Misr International University Faculty of Computer Science Cairo Egypt

ISBN: (纸本)9781509053728

Cancer is considered as one of the undefeatable diseases around the world that occur due to the uncontrollable growth of abnormal cells [1]. In 2012, according to World Health Organization (WHO) and Cancer Research UK, 14.1 million adults in the world have been diagnosed by cancer, 58% of them died of it [2]. In Egypt and according to its national cancer registry institute, 108,600 have been diagnosed by cancer 66% of them died. Leukemia is cancer of the body's blood-forming tissues, including the bone marrow and the lymphatic system. Chronic Myeloid Leukemia (CML) is a type of blood cancer that causes the body to produce a large number of white blood cells. In 2012 according to WHO, 352,000 have been diagnosed with leukemia, 75% of them died of it. In 2013, 1125 diagnosed with Myeloid leukemia in Egypt [3]. In this research, FISH (Florescent In Situ Hybridization) images is the key factor of detecting abnormalities in genes. CML can be detected using FISH. CML diagnosis depends on the detection of fused red and green signals. Our approach first detects signals, their colors, and then fusion between these colors. Moreover, number of fusions need to be counted in order to specify the treatment. Our system achieved an accuracy of 98% which proofs the efficiency of the approach. © 2016 IEEE.

关键词： Image processing

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Time Portability Evaluation of RCNN Technique of OD Object Detection - Machine Learning (Artificial Intelligence)

Time Portability Evaluation of RCNN Technique of OD Object D...

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international conference on Energy, Communication, Data Analytics and Soft Computing

作者： Anitya Kumar Gupta Computer Science - Cloud Computing Defense Research and Development Organization

ISBN: (纸本)9781538618882

This paper proposes a Quick Locale based Convolutional system strategy (Quick R-CNN) for question recognition. Quick R-CNN expands on past work to effectively characterize ob-ject recommendations utilizing profound convolutional systems. Com-pared to past work, Quick R-CNN utilizes a few in-novations to enhance preparing and testing speed while likewise expanding identification precision. Quick R-CNN trains the profound VGG16 arrange 9 quicker than R-CNN, is 213 speedier at test-time, and accomplishes a higher Guide on PASCAL VOC 2012. Contrasted with SPPnet, Quick R-CNN trains VGG16 3 quicker, tests 10 speedier, and is more exact Quick R-CNN is actualized in Python and C++ (utilizing Caffe) and is accessible under the open-source MIT Permit.

关键词： RCNN SPNet Python .Net

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