Proceedings of the International Conference on Internet of things and Cloud Computing最新文献

{"title":"Cloud-based Parallel Implementation of SLAM for Mobile Robots","authors":"Supun Kamburugamuve, Hengjing He, G. Fox, David J. Crandall","doi":"10.1145/2896387.2896433","DOIUrl":"https://doi.org/10.1145/2896387.2896433","url":null,"abstract":"Simultaneous Localization and Mapping (SLAM) for mobile robots is a computationally expensive task. A robot capable of SLAM needs a powerful onboard computer, but this can limit the robot's mobility because of weight and power demands. We consider moving this task to a remote compute cloud, by proposing a general cloud-based architecture for real-time robotics computation, and then implementing a Rao-Blackwellized Particle Filtering-based SLAM algorithm in a multi-node cluster in the cloud. In our implementation, expensive computations are executed in parallel, yielding significant improvements in computation time. This allows the algorithm to increase the complexity and frequency of calculations, enhancing the accuracy of the resulting map while freeing the robot's onboard computer for other tasks. Our method for implementing particle filtering in the cloud is not specific to SLAM and can be applied to other computationally-intensive tasks.","PeriodicalId":342210,"journal":{"name":"Proceedings of the International Conference on Internet of things and Cloud Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130436708","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Automation System Architecture For Barcode Region Detection Algorithm","authors":"Geun-Jun Kim, B. Kang","doi":"10.1145/2896387.2896406","DOIUrl":"https://doi.org/10.1145/2896387.2896406","url":null,"abstract":"Conventional barcode region detections are generally using guideline at computer vision. Guideline is the simple method but efficient. As the demand increases in the automation system, guideline method needs to replace. Hardware has strong point at the parallel operation. Using parallel operation, hardware can process iterative operation efficiently. In this paper, we propose system architecture for barcode region detection algorithm using APU and FPGA. This architecture can easily adapted application system. FPGA reduce overload easily and efficiently for APU.","PeriodicalId":342210,"journal":{"name":"Proceedings of the International Conference on Internet of things and Cloud Computing","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131234270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Intelligent Brokers in an Internet of Things for Logistics","authors":"B. Karakostas, N. Bessis","doi":"10.1145/2896387.2896390","DOIUrl":"https://doi.org/10.1145/2896387.2896390","url":null,"abstract":"The proliferation of Internet of Things (IoT) logistics applications necessitates the availability of new generation 'brokers' to bridge the smart objects to each other and to the enterprise world (IT systems). Such brokers need to be able to cope with the diversity of the IoT objects in their environment, in terms of intelligence and communication capabilities. More specifically, the brokers should employ trust computation mechanisms and publish-subscribe architectures. This paper proposes the architecture and functionality of IoT brokers and illustrates their use in logistics environments.","PeriodicalId":342210,"journal":{"name":"Proceedings of the International Conference on Internet of things and Cloud Computing","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123812512","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cloud Computing Antecedents, Challenges, and Directions","authors":"Majed Almubaddel, Ahmed M. Elmogy","doi":"10.1145/2896387.2896401","DOIUrl":"https://doi.org/10.1145/2896387.2896401","url":null,"abstract":"Cloud computing has recently emerged as a new model for hosting and delivering services over the Internet. It has many advantages, such as, increasing the capacity or adding capabilities without investing in a new infrastructure to fulfil the needed technological requirements in a fast and automated manner. It has obviously grown and its growth is impressive. However, the more information about people and business are used in the cloud, the more concerns raised about the security of its environment. Also, there are some challenges when using this service. In this paper, a survey about the main concepts of cloud computing along with some examples of the appropriate usage of its services is presented. This will help in making the right choice of using cloud computing services. The challenges of using cloud computing is introduced as well.","PeriodicalId":342210,"journal":{"name":"Proceedings of the International Conference on Internet of things and Cloud Computing","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132228661","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Heterogeneous Face Detection","authors":"A. Das, R. Kumar, D. Kisku","doi":"10.1145/2896387.2896417","DOIUrl":"https://doi.org/10.1145/2896387.2896417","url":null,"abstract":"Face detection is the process of determining the location of human faces in an image. Like human visual system, a face detection system should also be capable of achieving the detection task irrespective of illumination, absence of texture, orientation and camera distance. Detecting faces in heterogeneous, infrared and thermal images is a challenging job due to variation in texture, orientation, lighting condition, intensity etc. Many researchers have worked and proposed various methods for visible faces in the domain of face detection. However, face detection with the existing algorithm in heterogeneous face images is found quite difficult one. This paper attempts to improve the accuracy of an existing face detection algorithm which was basically designed for detecting visible faces, can now be used to detect heterogeneous faces by applying various image enhancement techniques before face detection. The proposed improved algorithm is suitable for heterogeneous face images which include thermal images, infrared images in the crowd. Attempts for the same have been tested on test image dataset. The experimental results are found to be encouraging.","PeriodicalId":342210,"journal":{"name":"Proceedings of the International Conference on Internet of things and Cloud Computing","volume":"41 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114029256","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integration of OFDM Based Communication System with Alpha-Stable Interference using CupCarbon Simulator","authors":"U. Noreen, A. Bounceur, L. Clavier","doi":"10.1145/2896387.2900321","DOIUrl":"https://doi.org/10.1145/2896387.2900321","url":null,"abstract":"Deploying sensor networks in an efficient and optimal way has become an important topic these days. A sensor network is basically an infrastructure which consists on number of nodes equipped with a sensor, a controller and a communication module. Interference from the neighboring nodes makes it difficult for a communication system to achieve the required throughput and also makes it difficult to predict the network behavior. CupCarbon is a wireless sensor network (WSN) simulator, recently developed by researchers of Lab STICC, for a better analysis and understanding of WSN. In this paper, we present an optimal way to integrate a PHY layer based on Orthogonal Frequency Division Multiplexing (OFDM) in the simulator and we have also considered the network interference impact in wireless communication. For a flexible and accurate representation, interference is modeled by alpha-stable distribution function. This allows the better estimation of channel conditions to take into account the channel conditions and the density of interferers in a network.","PeriodicalId":342210,"journal":{"name":"Proceedings of the International Conference on Internet of things and Cloud Computing","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121691647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"IoT for Smart City Services: Lifecycle Approach","authors":"A. Hefnawy, Abdelaziz Bouras, C. Cherifi","doi":"10.1145/2896387.2896440","DOIUrl":"https://doi.org/10.1145/2896387.2896440","url":null,"abstract":"\"Internet of Things\" (IoT) and \"Smart City\" are widely recognized to address the complexity of modern city operation. Concentration of population, scarcity of resources and environmental concerns are the main challenges that face city operators, and make ordinary service provisioning less efficient. In city environment, IoT sensors can be sources of real-time data; and, IoT actuators can execute real-time actions in the physical domain. IoT systems range from domain-specific to cross-sectoral systems where valuable data/ information flow across interconnected complex systems. Yet, to integrate domain-specific IoT systems into the complete vision of Smart City, as a System of Systems (SoS), there is a need to address heterogeneity of data sources, diversity of application domains and the big number of stakeholders across different phases of lifecycle. This paper suggests Service Lifecycle Management (SLM) concepts and Lifecycle Modeling Language (LML) to analyze, plan, specify, design, build and maintain IoT-enabled Smart City Service Systems.","PeriodicalId":342210,"journal":{"name":"Proceedings of the International Conference on Internet of things and Cloud Computing","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125166989","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Word and Phrase Proximity Searchable Encryption Protocols for Cloud Based Relational Databases","authors":"K. Mallaiah, R. Gandhi, Ramachandram Sirandas","doi":"10.1145/2896387.2896427","DOIUrl":"https://doi.org/10.1145/2896387.2896427","url":null,"abstract":"In this paper, we propose a practical and efficient word and phrase proximity searchable encryption protocols for cloud based relational databases. The proposed advanced searchable encryption protocols are provably secure. We formalize the security assurance with cryptographic security definitions and prove the security of our searchable encryption protocols under Shannon's perfect secrecy assumption. We have tested the proposed protocols comprehensively on Amazon's high performance computing server using mysql database and presented the results. The proposed protocols ensure that there is zero overhead of space and communication because cipher text size being equal to plaintext size. For the same reason, the database schema also does not change for existing applications. In this paper, we also present results of comprehensive analysis for Song, Wagner, and Perrig scheme.","PeriodicalId":342210,"journal":{"name":"Proceedings of the International Conference on Internet of things and Cloud Computing","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129966797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysis and Interpretation of Brain Wave Signals","authors":"Christofer N. Yalung, Salah S. Al-Majeed, J. Karam","doi":"10.1145/2896387.2900319","DOIUrl":"https://doi.org/10.1145/2896387.2900319","url":null,"abstract":"Brainwave Computer Interface (BCI) application has the potential to improve the quality of life for disabled patients and overall improvement of human thought concentration. In this paper, BCI is implemented using NeuroSky's EEG biosensor. Brain wave signal analysis is presented through the consideration of a noisy environment to simulate a BCI in real world application. A total of 256 data points are acquired in each thought. The data are documented using MATLAB software via Bluetooth. A real time recording is implemented with different captured thoughts among seven participants. The standard deviation of the Mean Sample Value (MSV) and Value Above Zero(VAZ) shows high variation for the thought of backward, forward, left and move in comparison of each trial. The VAZ rate and Zero Crossing Rate (ZCR) have very minimal standard deviation in comparison of each trial. This shows that the environment could affect the concentration of the signals. The average of the results of each thought is also presented, in which each thought has distinct characteristics among other thoughts. This means that classification is possible even noise or interruption is present in the surroundings and wireless transmission is utilized. The total number of peak points was recorded in each EEG sample. Also, the correlation coefficients among three participants having the same tasked were analyzed.","PeriodicalId":342210,"journal":{"name":"Proceedings of the International Conference on Internet of things and Cloud Computing","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131097851","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"CupCarbon: A New Platform for Designing and Simulating Smart-City and IoT Wireless Sensor Networks (SCI-WSN)","authors":"A. Bounceur","doi":"10.1145/2896387.2900336","DOIUrl":"https://doi.org/10.1145/2896387.2900336","url":null,"abstract":"The proliferation of radio communication systems and the significant advances in enabling device technologies are paving towards Internet-of-Things (IoT) and opening new horizons for Smart City applications and its services. Such evolution becomes essential in order to enhance quality of urban services, to reduce costs, and to engage citizens more actively. In this context, novel simulation tools are required to prepare the future deployments of large-scale IoT infras tructure for Smart cities in the best conditions in terms of reliability, energy consumption, and cost. This keynote session presents the CupCarbon1 framework: a platform for designing smart-city and IoT Wireless Sensor Networks (SCIWSN). CupCarbon aims to provide following benefits that makes it significant from the other conventional wireless sensor network simulators. (1) provides modeling and simulation of radio propagation channel and alpha-stable noise based interferences in more realistic way, (2) takes into account the deployment environment and quantify the uncertainty of simulations, (3) allows the representation of mobile nodes and dynamic environments, (4) allows the behavioural study of a network or networks with large number of nodes in practical environments (city, mountain, etc.). The CupCarbon simulator allows it's user to design, visualize, debug and validate distributed algorithms for monitoring environmental data collections of wireless sensor network. It creates environmental scenarios such as fires, gas, mobiles, and generally within educational and scientific projects. It offers two different simulation environments. First is a multi-agent environment that enables the design of mobility scenarios and the generation of events such as fires and gas as well as the simulation of mobile nodes. Second environment represents a discrete event simulation of wireless sensor networks which also takes into account the scenario designed on the basis of the first environment. Interference models based on the impulsive nature of noise and outdoor propagation models are embedded within Cup-Carbon to provide more realistic analysis of WSNs for smart city applications. These models are associated with spatial zones according to the electromagnetic interactions.","PeriodicalId":342210,"journal":{"name":"Proceedings of the International Conference on Internet of things and Cloud Computing","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126913075","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}