Rate Data Stream Research Articles

Rapid Imaging Planetary Spectrograph

The Rapid Imaging Planetary Spectrograph (RIPS) was designed as a long-slit high-resolution spectrograph for the specific application of studying atmospheres of spatially extended solar system bodies. With heritage in terrestrial airglow instruments, RIPS uses an echelle grating and order-sorting filter to obtain optical spectra at resolving powers of up to R ∼ 127,000. An ultra-narrowband image from the reflective slit jaws is captured concurrently with each spectrum on the same electron-multiplying charge-coupled device detector. The “rapid” portion of RIPS’s moniker stems from its ability to capture high frame rate data streams, which enables the established technique known as “lucky imaging” to be extended to spatially resolved spectroscopy. Resonantly scattered emission lines of alkali metals, in particular, are sufficiently bright to be measured within short integration times. RIPS has mapped the distributions of Na and K emissions in Mercury’s tenuous exosphere, which exhibits dynamic behavior coupled with the planet’s plasma and meteoroid environment. An important application is daylight observation of Mercury with solar telescopes, as the synoptic context of the exosphere’s distribution comprises valuable ground-based support for the upcoming BepiColombo orbital mission. As a conventional long-slit spectrograph, RIPS has targeted the Moon’s surface-bound exosphere, where structures in line width and brightness are observed as a function of tangent altitude. At the Galilean moons, RIPS can study the plasma interaction with Io and place new constraints on the sputtered atmosphere of Europa, which in turn provides insight into the salinity of Europa’s subsurface ocean. The instrumental design and construction are described herein, and these astronomical observations are presented to illustrate the performance of RIPS as a visiting instrument at three different telescope facilities.

IoT-edge anomaly detection for covariate shifted and point time series health data

Abrupt distributional covariate shift and abnormal data points can cause anomaly in the time series dataset. Such issue can exaggerate in the internet of things (IoT)-based scenario where continuous data is generated from the low-cost health sensors. Existing anomaly detection techniques mostly rely on the machine learning aware strategies resulting processing and storage overhead in the IoT-based tool chain. In this paper, we perform two experiments on anomaly detection on univarite data such as, (i) anomaly detection of online covariate shift i.e. IoTSAnom method and (ii) seasonal-decomposition by the Loess i.e. STL and piecewise median schemes i.e. IoTSDA method. Firstly, we propose the IoTSAnom architecture to detect online coviarte shift in the univariate time series pulse rate data stream. We implement the ”IRKernel” to investigate the efficiency of exponentially weighted moving average (EWMA)-based light-weight statistical learning by using three variants e.g. probabilistic (P), shift-detect (SD), and two-stage shift-detect (TS-SD) over the EWMA algorithms. We perform evaluation of execution time of the algorithms in classical, incremental, and optimized modes while following the Kolmogorov–Smirnov hypothesis testing at the two-stage anomaly detection. Secondly, the IoTSDA scheme is implemented to support an instantaneous anomaly detection based on the interquartile range and generalized extreme studentized deviate statistics. Both the experimental results show that use of probability, shift-detection scheme, and time-series seasonal-decomposition can detect anomalies. Both the schemes can leverage the IoT-edge analytics for smart health care anomaly detection.

A survey on key roles of optical switching and labeling technologies on big data traffic of Data Centers and HPC environments

The tremendous big data and IP traffic growth rate between interconnected Data Centers (DC) and High Performance Computing (HPC) environments have imposed the need for ultrahigh link capacities and ultrahigh packet switching speeds, at network nodes. In order to overcome these ultrahigh demands, and particularly packet routing and forwarding speeds, long tested and established technologies, such as optical switching and labeling technology, seem to provide adequate solutions, not only by conveying ultrahigh bit rate data streams, but also by achieving multi Tb/s cross connection throughputs, in a cost and energy efficient way. By adoption of optical switching and labeling technology, big data streams are propagating directly in optical layer, thus lessening down bottlenecks, latency issues, and multi stage hierarchy layering. This paper, apart from optical switching and labeling potentials, investigates thoroughly other critical issues, strictly related to the proper choice of employing a switching architecture layout, such as its implementation technology, its elasticity potentials, in terms of flexible bandwidth (BW) provisioning, its adopted control plane lying on top of data infrastructure plane, providing cognition, control and orchestration over its network elements, as well as related to the proper choice of optical labeling techniques adopted, in conjunction with current, advanced, coherent, multi level modulation formats, for ultrahigh link capacities and packet switching speed demands of scalable, big data interconnected DCs and HPC environments.

Sub Carrier Analysis for QAM Modulation

Orthogonal Frequency Division Multiplexing (OFDM) based wireless data transmission system is a multi-carrier system in which single higher rate data stream can be divided into multiple lower rate data streams. Modulation and De-Modulation technique play a major role in OFDM based data transmission system. Based on Modulation technique only, the frequency transformation method and encoding and decoding methods are enabled. Effective modulation techniques called as “Quadrature Amplitude Modulation (QAM)” modulation are used to design an OFDM System. Carrier signal is one of the important signals used to modulate the original signal. Analyzing the sub-carrier signal for getting the quality of the modulated signal.

Modeling and Design of Millimeter-Wave Networks for Highway Vehicular Communication

Connected and autonomous vehicles will play a pivotal role in future intelligent transportation systems and smart cities, in general. High-speed and low-latency wireless communication links will allow municipalities to warn vehicles against safety hazards, as well as support cloud-driving solutions to drastically reduce traffic jams and air pollution. To achieve these goals, vehicles need to be equipped with a wide range of sensors generating and exchanging high rate data streams. Recently, millimeter wave (mmWave) techniques have been introduced as a means of fulfilling such high data rate requirements. In this paper, we model a highway communication network and characterize its fundamental link budget metrics. In particular, we specifically consider a network where vehicles are served by mmWave base stations (BSs) deployed alongside the road. To evaluate our highway network, we develop a new theoretical model that accounts for a typical scenario where heavy vehicles (such as buses and lorries) in slow lanes obstruct line-of-sight (LOS) paths of vehicles in fast lanes and, hence, act as blockages. Using tools from stochastic geometry, we derive approximations for the signal-to-interference-plus-noise Ratio (SINR) outage probability, as well as the probability that a user achieves a target communication rate (rate coverage probability). Our analysis provides new design insights for mmWave highway communication networks. In considered highway scenarios, we show that reducing the horizontal beamwidth from $90^\circ$ to $30^\circ$ determines a minimal reduction in the SINR outage probability (namely $4 \cdot 10^{-2}$ at maximum). Also, unlike bidimensional mmWave cellular networks, for small BS densities (namely one BS every $500\,\text{m}$ ) it is still possible to achieve an SINR outage probability smaller than 0.2.

A real time sorting algorithm to time sort any deterministic time disordered data stream

In new generation high intensity high energy physics experiments, millions of free streaming high rate data sources are to be readout. Free streaming data with associated time-stamp can only be controlled by thresholds as there is no trigger information available for the readout. Therefore, these readouts are prone to collect large amount of noise and unwanted data. For this reason, these experiments can have output data rate of several orders of magnitude higher than the useful signal data rate. It is therefore necessary to perform online processing of the data to extract useful information from the full data set. Without trigger information, pre-processing on the free streaming data can only be done with time based correlation among the data set. Multiple data sources have different path delays and bandwidth utilizations and therefore the unsorted merged data requires significant computational efforts for real time manifestation of sorting before analysis. Present work reports a new high speed scalable data stream sorting algorithm with its architectural design, verified through Field programmable Gate Array (FPGA) based hardware simulation. Realistic time based simulated data likely to be collected in an high energy physics experiment have been used to study the performance of the algorithm. The proposed algorithm uses parallel read-write blocks with added memory management and zero suppression features to make it efficient for high rate data-streams. This algorithm is best suited for online data streams with deterministic time disorder/unsorting on FPGA like hardware.

Programmable Dynamically-Controlled Silicon Photonic Switch Fabric

Dynamically-controlled optical switches can enable novel functionalities in future high-performance computing and data center systems, including resource allocation and real-time routing. These capabilities can improve system robustness, performance, as well as overall power consumption. Silicon (Si) photonic switch fabrics are capable of nanosecond-scale switching, thus making them potentially attractive for dynamic reconfiguration at data packet rates, which are typically in the GHz range and are made via CMOS-compatible processes for smooth process integration. In this paper, we explore the dynamic control of data signals through an Si photonic switch matrix and demonstrate a programming interface for configuring the switch. Our associated control algorithm is shown to provide the capability for dynamically reallocating the optical power through multicasting for robust operation in case the optical loss changes along a given path. The scheme is shown to operate error-free with 40 Gb/s line rate data streams in a $4\times 4$ Si photonic switch fabric.

Implanted cardiac pacemaker pulses as recorded from the body surface

This study investigates the characteristics of contemporary pacemaker pulses as recorded from the body surface. Twelve-lead paced ECGs from 140 patients (68±12years, 71% males) were collected at 32,000 samples per second. Pacer pulses were manually annotated based on the high-sampling rate data stream. The results show that durations of the various pulses are stable, while amplitudes exhibit large variations. Also, more than 50% of pulses have either durations <0.5ms or amplitudes <2mV, which are the AAMI/IEC thresholds for detection and marking of pacemaker pulses on an ECG report. Therefore the current standards for pacemaker pulse detection are not fit for purpose and require to be updated. Further, this study suggests that a high-sampling rate database should be used as a standard test for pacemaker annotation and detection from body surface ECGs.

Acousto-optic computing environment for stream data processing

The mathematical background, simulation, and experimental investigation of an acousto-optic computing environment for high repetition rate data stream processing are proposed in this paper. The prospective similarity of the proposed acousto-optic environment to an electronic field programmable gate arrays is noted.

Slow Light Enhanced Nonlinear Optics in Silicon Photonic Crystal Waveguides

We present a summary of our recent experiments showing how various nonlinear phenomena are enhanced due to slow light in silicon photonic crystal waveguides. These nonlinear processes include self-phase modulation (SPM), two-photon absorption (TPA), free-carrier related effects, and third-harmonic generation, the last effect being associated with the emission of green visible light, an unexpected phenomenon in silicon. These demonstrations exploit photonic crystal waveguides engineered to support slow modes with a range of group velocities as low as c/50 and, more crucially, with significantly reduced dispersion. We discuss the potential of slow light in photonic crystals for realizing compact nonlinear devices operating at low powers. In particular, we consider the application of SPM to all-optical regeneration, and experimentally investigate an original approach, where enhanced TPA and free-carrier absorption are used for partial regeneration of a high-bit rate data stream (10 Gb/s).

Large deviation properties of constant rate data streams sharing a buffer with long-range dependent traffic in critical loading

We consider a constant rate traffic which shares a buffer with a random cross traffic. A first come first served or priority service discipline is applied at the buffer. After service at the first buffer the constant rate traffic moves to a play-out buffer. Both buffers provide service at constant rate and infinite waiting room. We investigate logarithmic large and moderate deviation asymptotics for the tail probabilities of the steady-state queue length distribution at the play-out buffer for long-range dependent cross traffic in critical loading. We characterize the asymptotic behavior of the cross traffic which leads to a large queue length at the play-out buffer and compare it to the one for renewal cross traffic.

Large deviation properties of constant rate data streams sharing a buffer with long-range dependent traffic in critical loading

We consider a constant rate traffic which shares a buffer with a random cross traffic. A first come first served or priority service discipline is applied at the buffer. After service at the first buffer the constant rate traffic moves to a play-out buffer. Both buffers provide service at constant rate and infinite waiting room. We investigate logarithmic large and moderate deviation asymptotics for the tail probabilities of the steady-state queue length distribution at the play-out buffer for long-range dependent cross traffic in critical loading. We characterize the asymptotic behavior of the cross traffic which leads to a large queue length at the play-out buffer and compare it to the one for renewal cross traffic.

Rijndael 알고리즘을 이용한 물리 계층 ATM 셀 보안 기법

본 논문에서는 미국 NIST에서 차세대 암호화 알고리즘으로 채택한 Rijndeal 알고리즘을 적용한 물리 계층 ATM 셀 보안 기법에 관한 것이다. ATM 셀 보안 기법을 기술하기 위해 물리 계층에서의 데이터 암호화 시의 표준 ISO 9160을 만족하는 데이터 보안 장치를 하드웨어로 구현하여 STM-1급(155.52Mbps) 의 ATM 망에서 암호화/복호화 과정을 검증하였다. 기존의 DES 알고리즘이 블럭 및 키 길이가 64 비트이므로 대용량 데이터 처리가 어렵고 암호화 강도가 취약함에 비해, Rijneal 알고리즘은 블럭 크기가 128 비트이며 키 길이는 128, 192, 256 비트 중 선택 가능해 시스템에 적용 시 유연성을 높일 수 있고 고속 데이터 처리 시에 유리하다. 물리 계층 ATM 셀 데이터의 실시간 처리를 위해 Rijndael 알고리즘을 FPGA로 구현한 소자를 사용하여 직렬로 입력되는 UNI(User Network Interface) 셀을 순환 여유 검사 방법을 이용하여 셀의 경계를 판별하고 셀이 사용자 셀인 경우, 목적지의 주소값 등 제어 데이터를 지니고 있는 헤더 부분을 분리한 48 옥텟의 페이로드를 병렬로 변환, 16 옥텟(128 비트) 단위로 3 개의 암호화 모듈에 각각 전달하여 암호화 과정을 마친 후 버퍼에 저장해 둔 헤더를 첨가하여 셀로 재구성하여 전송하여 준다. 수신단에서 복호화 시에는 페이로드 종류를 판별하여, 사용자 셀인 경우에는 셀의 경계를 판별한 다음 페이로드를 128 비트 단위로 3 개의 암호화 모듈에 각각 전달하여 복호화하며, 유지 보수 셀인 경우에는 복호화 과정을 거치지 않는다. 본 논문에 적용한 Rijndael 암호화 소자는 변형된 암복호화 과정을 적용하여 제작된 소자로 기존에 발표된 소자에 비해 비슷한 성능을 지니면서 면적 대 성능비가 우수한 소자를 사용하였다.ochlorococcus의 수층별 평균 풍도의 수직분포는 표면 혼합층에서 유사한 수준을 보이다 이심에서 급격한 감소를 나타냈다. 그러나 TSWP에선 풍도의 급격한 감소가 나타나지 많고 100 m 수심까지 높은 풍도를 나타냈다. Picoeukaryotes는 C-ECS에서 100 m까지 유사한 수준의 풍도를 보였으며, 동해의 <TEX>$20\sim30\;m$</TEX> 수심에선 최대 풍도층이 나타났다.특별한 영향을 미치지 않는 것으로 나타났다. 동일 환자들의 골상태의 변화관찰과 신질환 관련 골감소의 요인을 밝혀내기 위한 추가적인 연구가 필요할 것으로 사료된다. 정확한 진단 및 동반된 질환을 감별하기 위한 노력이 필요하다.심되나 X-ray VCUG로 발견되지 않은 경우에는 RI VCUG를 꼭 시행하는 것이 방광요관역류의 정확한 진단을 하는데 도움이 된다..25% sodium 식이 enalapril군에서 사구체여과율이 증가됨을 관찰할 수 있었다. 4) 신절제술후 남아 있는 신조직무게를 비교하여 보면 24주째 0.25% sodium 식이군, 0.25% sodium 식이 enalapril군, 0.25% sodium 식이 nicardipine군에서 16주째 0.49% sodium 식이군, 0.49% sodium 식이 enalapril군, 0.49% sodium 식이 nicardipine 군보다 의의있게 신조직무게가 증가됨을 관찰할 수 없었다. 5) 0.25% sodium 식이군은 0.49% sodium 식이군과 비교하여 MES의 현저한 감소를 보였고 (0.25% sodium식이군: 12주; <TEX>$1.97{\pm}0.02$</TEX>, 24주; <TEX>$2.06{\pm}0.03$</TEX> vs. 0.49% sodium 식이군: 12주; <TEX>$2.29{\pm}0.09$</TEX>, 16주; <TEX>$2.55{\pm}0. This paper describes ATM cell encipherment method using Rijndael Algorithm adopted as an AES(Advanced Encryption Standard) by NIST in 2001. ISO 9160 describes the requirement of physical layer data processing in encryption/decryption. For the description of ATM cell encipherment method, we implemented ATM data encipherment equipment which satisfies the requirements of ISO 9160, and verified the encipherment/decipherment processing at ATM STM-1 rate(155.52Mbps). The DES algorithm can process data in the block size of 64 bits and its key length is 64 bits, but the Rijndael algorithm can process data in the block size of 128 bits and the key length of 128, 192, or 256 bits selectively. So it is more flexible in high bit rate data processing and stronger in encription strength than DES. For tile real time encryption of high bit rate data stream. Rijndael algorithm was implemented in FPGA in this experiment. The boundary of serial UNI cell was detected by the CRC method, and in the case of user data cell the payload of 48 octets (384 bits) is converted in parallel and transferred to 3 Rijndael encipherment module in the block size of 128 bits individually. After completion of encryption, the header stored in buffer is attached to the enciphered payload and retransmitted in the format of cell. At the receiving end, the boundary of ceil is detected by the CRC method and the payload type is decided. n the payload type is the user data cell, the payload of the cell is transferred to the 3-Rijndael decryption module in the block sire of 128 bits for decryption of data. And in the case of maintenance cell, the payload is extracted without decryption processing.

Resource allocation for multimedia traffic flows using a burstiness curve envelop

Resource allocation is required to guarantee the quality-of-service requirements for networks with a bounded delay service. This study presents a new traffic envelope based on the burstiness curve to capture the traffic characteristics of a variable bit rate data stream. A simple and efficient call admission control algorithm for rate-controlled Earliest Deadline First schedulers is developed based on this traffic characterization by employing the closedform formula and considering the local quality-of-service allocation policy. Clearly, the novel approach is as simple as the leaky bucket model. To evaluate the scheme, trace-driven simulation experiments are performed with a set of ten minutes long MPEG-compressed video traces, indicating that the novel approach is sufficiently accurate to guarantee endto- end quality of service requirement for end-users, and to substantially outperforming alternate schemes.

Multi-bit rate passive double star system using time-unit packet

This paper proposes a new optical access network system; the multi-bit rate passive double star (multi-bit rate-PDS) system. The multi-bit rate-PDS system passes multi-bit rate data streams between the optical service unit (OSU) and the optical network unit (ONU) using the time-unit packet (TP). This simplifies the provision of user flexibility and provides very economical network services to users. We describe the architecture and frame structure of the multi-bit rate-PDS system, and elaborate the advantage of its user accommodation. Furthermore, we show how to decide the multiplexed bit rates in the multi-bit rate-PDS system and how to realize the receiver circuit for multi-bit rate data packet streams.

Time interleaved optical samplingfor ultra-high speed A/D conversion

A scheme is proposed for increasing the sampling rate of analogue-to-digital conversion by more than an order of magnitude by combining state-of-the-art A/D converters with photonic technology. Ultra-high speed sampling is performed optically by a multiwavelength pulse train. Wavelength demultiplexers convert the high repetition rate data stream of samples into parallel data streams that can be handled by available electronic A/D converters.

ULTRAFAST OPTICAL TIME DEMULTIPLEXERS USING SEMICONDUCTOR OPTICAL AMPLIFIERS

The operating principle of the utilization of resonant optical nonlinearities in recently demonstrated ultra-fast all-optical interferometric switching devices is presented. Optimum switching windows expected from these devices are investigated with a simple theoretical analysis. The experimental results of these devices are presented along with the nonlinear optical properties of a semiconductor optical amplifier. The information from the experimental results of the nonlinear optical properties are used to address a problem associated with a saturation of the semiconductor optical amplifier by an incoming ultra-high bit rate data stream. We also discuss the advantages and disadvantages in different operation modes — same or different wavelengths for the control and data signals. Finally, we discuss the relative advantages and disadvantages among these devices.

Broadband-ISDN standardization - state of the art

Broadband-ISDN (B-ISDN) is the wide-area network of the future. Its Asynchronous Transfer Mode (ATM) supports both transmission and switching with a unique concept: the ‘cell’. The use of ATM is evolving in the public as well as in the private domain. It also more and more captures lower bit rate interfaces down to about 2 Mb/s. Right from the beginning, B-ISDN standardization has taken into account the portation of existing applications and protocols to B-ISDN. This is supported by a specific layer, the ‘ATM Adaptation Layer’, introduced in the B-ISDN Protocol Reference Model for the adaptation between ATM characteristics and the requirements of higher layer protocols. B-ISDN aims at the flexible and dynamic support of varying communication requirements. ATM is suited to transfer constant and variable bit rate data streams in a unique way. Additionally, this aim is reflected in the separate handling of calls - communication relationships - and connections - data streams with specific characteristics - within a call. Special connections are used for the management of calls and connections. The characteristics of these ‘signalling connections’ can also be adapted to the amount of signalling information transferred.