Judex (Denmark)

Today it is simple to collect and transmit GNSS data from vehicles with a high frequency. However, there is a storage and processing cost related to handling the data. Further, some data has limited value, e.g., redundant GNSS data from a vehicle stopped at an intersection. In this paper, sampling methods for GNSS data focusing on time, distance, speed, and heading changes are systematically analyzed. The goal is to retain only valuable data. A set of metrics is proposed to quantify the value of the data, e.g., no redundancy and retention of the spatial and temporal distributions. An existing commercial approach to GNSS-based travel time computation in road networks is used to measure if the sampled GNSS is accurate for this important purpose. The results show that sampling methods using individual properties, such as time, space, or speed, have their own strengths and weaknesses. However, with hybrid methods, it is possible to retain the strengths and eliminate most weaknesses. Using a large, real-world GNSS dataset, we show that a hybrid method that retains only 20 % of the original data can achieve travel time estimation with an error of just 1.0 – 1.3%.

<p>Artikel ini ditulis bertujuan untuk mengetahui argumentasi perbedaan pendapat pertimbangan hakim memutus terhadap alasan kasasi Penuntut Umum dalam Tindak Pidana Korupsi yang diputus Mahkamah Agung berdasarkan Putusan Nomor:1555K/Pid.Sus/2019 ditinjau dari ketentuan KUHAP. Jenis penelitian hukum ini adalah penelitian normatif atau doktrinal, yang bersifat preskiptif dan terapan dengan pendekatan kasus. Teknik pengumpulan bahan hukum primer dan sekunder diperoleh dari studi dokumen atau kepustakaan. Berdasarkan hasil penelitian dan pembahasan diketahui bahwa pertimbangan Hakim Mahkamah Agung dalam mengabulkan permohonan Kasasi Penuntut Umum, telah sesuai dengan ketentuan Pasal 255 jo Pasal 256 KUHAP dan membatalkan Putusan sebelumnya. Menyatakan terdakwa bersalah melakukan tindak pidana korupsi secara bersama-sama dan menjatuhkan pidana penjara, denda serta uang pengganti. Karena dalam memutus perkara ini terdapat Dissenting Opinion diantara anggota Judex Juris, maka putusan dijatuhkan atas dasar suara terbanyak dan telah sesuai dengan ketentuan Pasal 182 ayat (6) huruf a KUHAP jo Pasal 255 ayat (1) jo Pasal 193 ayat (1) KUHAP.</p><p><strong>Kata Kunci: Dissenting Opinion; Judex Factie; Kasasi, Korupsi; PenuntutUmum.</strong></p><p><em>This article was written with the aim of finding out the arguments for differences of opinion in the consideration of the judge's decision on the reasons for the appeal by the Public Prosecutor in the Corruption Crime which was decided by the Supreme Court based on Decision Number: 1555K/Pid.Sus/2019 in terms of the provisions of the Criminal Procedure Code. This type of legal research is normative or doctrinal research, which is prescriptive and applied with a case approach. Techniques for collecting primary and secondary legal materials are obtained from document studies or literature. Based on the results of the research and discussion it is known that the Supreme Court Judge's consideration in granting the Public Prosecutor's cassation request was in accordance with the provisions of Article 255 in conjunction with Article 256 of the Criminal Procedure Code and canceled the previous decision. Declare guilty of committing the criminal act of corruption jointly and impose prison sentences, fines and compensation money. Because in deciding this case there was a Dissenting Opinion among Judex Juris members, the decision was made on the basis of a majority vote and was in accordance with the provisions of Article 182 paragraph (6) letter a of the Criminal Procedure Code in conjunction with Article 255 paragraph (1) in conjunction with Article 193 paragraph (1) of the Criminal Procedure Code.</em></p><p><strong><em>Keywords: Dissenting Opinion; Judex Factie; Cassation; Corruption; Public Proscutor.</em></strong></p>

A problem in clinical microbiology is that of inappropriate antibiotic therapy. Various decision-support systems have been proposed to aid physicians in this domain, and we discuss the a priori advantages of using a probabilistic network over other approaches. The Treat project uses a probabilistic network to combine clinical signs, symptoms and laboratory results, and we discuss the problem of obtaining probabilities for the network. Finally, we consider how such a system can be tested in clinical practice and outline the results of our tests.