ITC/USA 2007 Conference Proceedings / The Forty-Third Annual International Telemetering Conference and Technical Exhibition / October 22-25, 2007 / Riviera Hotel & Convention Center, Las Vegas, Nevada / This paper introduces a set of macros that automate the importing of antenna data into Excel and charting that data. These macros (as discussed here) import data from a ViaSat ACUs (Antenna Control Unit) and a TCS ACU (Telemetry & Communications Systems Inc). After the import is complete, the macros can build a set of charts, all formatted and labeled in a predetermined and standard manner. A task that may take half a day or more can be completed in minutes. The concept and layout of the macros lend them to quick adaptation to your data. In scenarios of “test and collect” followed by “import and chart”, the data can be imported and charted within the minute.

Academic research has shown throughout the years the ability of technical indicators to convey predictive value, informational content, and practical use. The popularity of such studies goes in and out over the years and today is being recognized widely by behavioral economists. Automated technical analysis is said to detect geometric and nonlinear shapes in prices which ordinary time series methods would be unable to detect. Previous papers use smoothing estimators to detect such patterns. Our paper uses local polynomial regressions, digital image processing, and state of the art machine learning tools to detect the patterns. Our results show that they are nonrandom, convey informational value, and have some predictive ability. We validate our results with prior works using stocks from the Dow Jones Industrial Average for a sample period from 1925-2019 using daily price observations.

No description available.

No / The usefulness of technical analysis, or charting, has been questioned because it flies in the face of the ‘random walk’ and tests present conflicting results. We examine chartists’ decision-making techniques and derive a taxonomy of charting strategies based on investors’ market ontologies and calculative strategies. This distinguishes between trend-seekers and pattern-seekers, and trading as a system or an art. We argue that interpretative activity plays a more important role than previously thought and suggest that charting’s main appeal for users lies in its power as a heuristic device regardless of its effectiveness at generating returns.

Small and Medium Sized Enterprises (SMEs) were founded to improve the activity and effectiveness of small industries, to provide economic and social needs of the country, to increase the competitive level of the country, and to establish integration in the industry. In today&rsquo / s competition conditions, SMEs should continuously improve themselves / otherwise, they could lose their market shares. One of the major problems encountered in Turkish SMEs is poor quality activities / especially, not being able to exploit the Statistical Process Control (SPC) techniques. Production runs become shorter and shorter, and the product variety seems to be ever increasing, which cause short production runs. Using traditional control charts for short production runs can yield wrong and costly results. Instead of traditional control charts, short run charts such as Difference Charts (DNOM), Zed Charts, and Zed-Star Charts should be preferred.For this purpose, software that not only constructs short run control charts but also implements charts by tests to solve the problems of SMEs is developed. A Control Chart Selection Wizard, which is capable of emulating human expertise in finding a suitable control chart according to the user response for different cases is developed and added as a subprogram. Software was tested at Ar&ccedil / elik Dishwasher Plant in Ankara. The overall evaluation of the developed software, as regards the user, was satisfactory. The software can meet some requirements of the SMEs.

Continuous colormaps are integral parts of many visualization techniques, such as heat-maps, surface plots, and flow visualization. Despite that the critiques of rainbow colormaps have been around and well-acknowledged for three decades, rainbow colormaps are still widely used today. One reason behind the resilience of rainbow colormaps is the lack of tools for users to create a continuous colormap that encodes semantics specific to the application concerned. In this paper, we present a web-based software system, CCC-Tool (short for Charting Continuous Colormaps) under the URL https://ccctool.com, for creating, editing, and analyzing such application-specific colormaps. We introduce the notion of “colormap pecification (CMS)” that maintains the essential semantics required for defining a color mapping scheme. We provide users with a set of advanced utilities for constructing CMS’s with various levels of complexity, examining their quality attributes using different plots, and exporting them to external application software. We present two case studies, demonstrating that the CCC-Tool can help domain scientists as well as visualization experts in designing semantically-rich colormaps.

No description available.

No description available.

It is generally accepted in academic circles that the developed country capital markets with their advanced infra-structure, depth and liquidity are at a minimum Weak-Form efficient. Since the Weak-Form EMH proposes that current security prices immediately assimilate all historical information, it therefore also implies that technical analysis (which relies on charts and analysis of past price patterns to extrapolate future price movements) would be a futile exercise. Yet technical analysis has endured over time and is still an intensively and widely used investment analysis technique. This indicates a clear disconnect between technical analysis as employed by practitioners in the market and the technical analysis methodologies utilized by academics in prior Weak-Form EMH studies. The problem is prior technical analysis Weak-Form EMH studies were burdened with methodological weaknesses which severely handicapped the profit generating potential of technical analysis and suggest that previous Weak-Form EMH research findings were erroneous in being unable to reject the null Weak- Form market efficiency hypothesis. This study addresses the problem by eliminating prior methodological weaknesses and utilizing high frequency intra-day data, the combination of qualitative and quantitative techniques and volume signals to develop a portfolio of Intermarket Momentum technical analysis strategies that generate significant excess profits. The objective of this study is therefore to provide evidence that contrary to prior research findings, the developed country capital markets are not Weak-Form efficient. The results show that the portfolio of Intermarket Momentum trading strategies generated returns in excess of the market with a significantly positive Alpha of 8.52% that allowed the rejection of the Null Hypothesis and the acceptance of the Alternative Hypothesis that the developed country capital markets are not Weak-Form efficient, thereby refuting the widely accepted EMH. / Business Management / D.B.L.

本研究主要探討臺北市政府(以下簡稱市府)以資訊一條鞭方式進行市府資訊資源整合，其執行現況、遇到的困難及資源整合相關建議。研究聚焦於計畫及人力項目，並以ARCI權責分工模型及研究建構六構面，分析前述原因。本次資料蒐集過程以滾雪球抽樣方式，訪談市府資訊局及一級機關資訊主管人員。「一條鞭」概念提出，係仿效我國人事、主計、政風獨立於行政機關之外運作模式，藉由特定主管機關集中管理系統特定項目，掌控業務權限。而為使市府分散資訊資源集中管理提升效能，資訊一條鞭概念因此而生。 研究發現市府資訊局於進行資訊資源整合之際不僅辦理業務項目與人事一條鞭權力集中掌控機制不同，執行的力道亦不及於人事一條鞭集權。各機關所提資訊計畫部分，資訊局多扮演專業技術諮詢者角色，尊重各機關專業自主精神，如涉及市府共通性整合項目，則以預算審核方式進行計畫控管。另市府雖訂有資訊人力管理相關法規及進用遷調作業流程，資訊局除個人考核仍未予執行外，其餘多限縮本身參與程度，結果通常與機關首長決定一致。此外，人力異動頻繁不易建置跨局處整合性人才以及現行法規未賦予資訊局掌管市府各機關資訊單位主管權限，均增加資訊資源整合困難度，整合效果有限。 前述整合力道之不及，其原因除資訊業務整合與一條鞭機制目的未必相符外，主因為資訊業務本質依附於各機關專業需求下，需與服務機關需求互相結合。也因此，本研究建議於釐清市府資訊組織策略性目標之下，建置府級CIO委員會專案小組機制，分層化訓練標的與內容，培育資訊專業整合性人才實力，且將訓練與升遷機制綁定，多元化獎勵性質措施等強化人員留任動機，亦建議後續研究者針對人才訓練延伸研究議題。