Feasibility Evaluation of the Statistical Delay Quality Model (SDQM)

遅延テストの品質評価には，遷移遅延故障モデルが広く用いられてきた．しかし，論理的な網羅性のみに着目しているため，微小な遅延欠陥の検出能力は明らかでなかった．そこで筆者らは微小な遅延欠陥の検出能力を，半導体製造プロセスの品質，設計の遅延変動に対するロバスト性，テストタイミング精度，及びテストパターンの論理的網羅性を総合的に反映して求める統計的遅延品質モデル（SDQM：statistical delay quality model）を提案し，本論文では，その大規模データに対するフィージビリティを評価した．商用のテスト生成ツールによるテストパターンを用いてSDQM の計算を行い，SDQMの計算の処理時間とメモリ量が適用可能なレベルであることを確認した．また，本モデルを用いたテストパターンの分析により，従来の遷移遅延故障モデルによるテストパターンは，長い論理パスが活性化されて初めて可能になる微小遅延欠陥の検出能力が十分でなく，アルゴリズム改良が必要なことを，定量的に示すことができた

Control of processer with time delays

The main goal of research -to simulate and investigate the processes of automatic management systems with significant automatic delays. In master’s final work, is investigation of managing systems with significant time delays. Investigation was done by simulation carried out in the environment of Matlab/Simulak.To model the processes, transmission functions in which time delay duration is much greater, than in comparison with the resultant steady of time were used. Work consists of investigation of operation in-one management systems. Standard PI, PID, regulators and time delay-compensating system, were used. Final work consists of quality evaluation of statistical indexes of transitional processes. Research presents management system response curves, transitional processes quality indexes and their statistical evaluation. Research findings are summarized in the evaluation

Quality-optimized predictive analytics

On-line statistical and machine learning analytic tasks over large- scale contextual data streams coming from e.g., wireless sensor networks, Inter- net of Things environments, have gained high popularity nowadays due to their significance in knowledge extraction, regression and classification tasks, and, more generally, in making sense from large-scale streaming data. The quality of the received contextual information, however, impacts predictive analytics tasks especially when dealing with uncertain data, outliers data, and data con- taining missing values. Low quality of received contextual data significantly spoils the progressive inference and on-line statistical reasoning tasks, thus, bias is introduced in the induced knowledge, e.g., classification and decision making. To alleviate such situation, which is not so rare in real time contextual information processing systems, we propose a progressive time-optimized data quality-aware mechanism, which attempts to deliver contextual information of high quality to predictive analytics engines by progressively introducing a certain controlled delay. Such a mechanism progressively delivers high qual- ity data as much as possible, thus eliminating possible biases in knowledge extraction and predictive analysis tasks. We propose an analytical model for this mechanism and show the benefits stem from this approach through com- prehensive experimental evaluation and comparative assessment with quality- unaware methods over real sensory multivariate contextual data

Improved Handover Through Dual Connectivity in 5G mmWave Mobile Networks

The millimeter wave (mmWave) bands offer the possibility of orders of magnitude greater throughput for fifth generation (5G) cellular systems. However, since mmWave signals are highly susceptible to blockage, channel quality on any one mmWave link can be extremely intermittent. This paper implements a novel dual connectivity protocol that enables mobile user equipment (UE) devices to maintain physical layer connections to 4G and 5G cells simultaneously. A novel uplink control signaling system combined with a local coordinator enables rapid path switching in the event of failures on any one link. This paper provides the first comprehensive end-to-end evaluation of handover mechanisms in mmWave cellular systems. The simulation framework includes detailed measurement-based channel models to realistically capture spatial dynamics of blocking events, as well as the full details of MAC, RLC and transport protocols. Compared to conventional handover mechanisms, the study reveals significant benefits of the proposed method under several metrics.Comment: 16 pages, 13 figures, to appear on the 2017 IEEE JSAC Special Issue on Millimeter Wave Communications for Future Mobile Network